VOLUME 9 Issue 2

A Review Study of Strength Analysis of Concrete by Using Waste Plastic in Concrete

Authors- M. Tech Scholar Priyanka Yadav, Professor Anuj Verma

Abstract- There is no doubt concrete is most useful thing in construction industry but it has a negative impact also, just like a coin has two faces. Raw materials used in manufacturing of concrete affect the environment in one or another negative way. Like manufacturing of cement produce carbon dioxide whereas the production of aggregates adds dust to the environment. Production of coarse aggregates also impact the geology of the area from they were extracted. A step taken in this direction is the use of waste products along with or in replacement of cement. Many of these materials are already in use, like silica fume, fly ash etc. In recent time use of such, Industrial wastes from polypropylene (PP) and polyethylene terephthalate (PET) were studied as alternative replacements of a part of the conventional aggregates of concrete. Plastic recycling was taking place on a significant scale in an India. As much as 60 % of both industrial and urban plastic waste is recycled which obtained from various sources. People in India have released plastic wastes on large scale have huge economic value, as a result of this, recycling of waste plastics plays a major role in providing employment.

Experimental Investigation of Mechanical Properties of Fly Ash Based Geo Polymer Concrete Used As Paver Blocks

Authors- M. Tech. Scholar Awdhesh Kumar, Astt. Prof. & Head Mr. Anuj Verma

Abstract- The invention of geo polymers paved the way for the construction industry to use fly ash-based geo polymer concrete as a 100 percent cement substitute. Since then, extensive experimental research has been conducted on geo polymer concrete, which has the potential to be the future’s sustainable construction material. This paper investigates various materials used in the production of concrete, such as alkaline liquids, fly ash, aggregates, and superstructures. Various researchers have also reported on their experimental research on topics such as mix design, curing, and their impact on the properties of geo polymer concrete. Finally, at the end, the final comments and proposals on Geo polymer concrete applications are defined.

A Experimental Analysis of Bamboo/Jute/PLA Biodegradable Composite

Authors- M. Tech. Subhash Kumar, Dr. Anil Kumar, Asst. Prof. Amit Sharma

Abstract- Natural fiber reinforced composites or green composites plays an important to replace manmade fiber reinforced polymer composites because of availability, economic in use, recyclable, also possessing a good mechanical strength, usage of bamboo, jute, and other natural fibers can served a better option for green composites. According to reviewed literature use of bamboo material is limited in use because of hydrophilic nature with also surface roughness. The present article report discusses a detailed investigation of mechanical, morphological, properties of bamboo and jute fiber reinforced poly-lactic acid bidirectional void free composites was carried out by compression molding machine. Mainly this was carried out to show its advantages in use like in wider applications as in structural, furniture’s etc. Tensile, flexural testing was done to evaluate the strength and modulus properties, whereas morphological analysis of surface was evaluated by scanning electron microscopic analysis. The analytical results showed approximated results with the experiment results. On comparing Jute and Bamboo fiber reinforced composites, Bamboo fiber reinforced with jute shows better stiffness properties (Tensile modulus and Flexural modulus).

ARMA: A Real-Time Bus Tracking and AITR Management Android Application

Authors- M. Tech. Scholar Arshi Sheikh, Asst. Prof. Priyanshu Dhameniya

Abstract- – An ARMA is an Android-based application that tracks all sorts of processes performed by students based on online E-Book availability, Real-Time bus tracking, Covid-19 case details, Notice updates, college reviews, and events. The app uses the GPS function, which is available on most Smart phones today, to pinpoint the current location accurately. The driver will update the bus location on the server and after that students locate the bus location on map using GPS. This Application can be used as a college information system. For a given student/staff. In this ARMA App, a smart student management system is put to good use based on the Android app also works smoothly as it is based on an online database system called firebase. ARMA provides secure Login/Signup functionality for different modules by using Firebase Authentication. Besides all the other traditional systems, our ARMA app provides security, reliability, cheaper, and easy to use for students and drivers.

Building Acoustics in Civil Engineering

Authors-Anjali Baby, Basil Mathew, Christeena, Keerthana Sajan N

Abstract- – The paper aims to the acoustic design feasibility study of public buildings and acoustical issues related to it. Fundamentals of acoustics, building acoustics, auditorium acoustics are familiarized. Also discussion on the necessary requirements of good acoustics, defects related to acoustics, various building acoustic materials commonly used are carried out.

Design of Mini Auditorium

Authors-Glynez Joseph, Anjana E, Ashifa Rahman, Fathima Reshma KT

Abstract- -This project includes planning, analyzing, designing and estimation of a mini auditorium. The Project is based on renovating a hall, which is already designed and constructed to satisfy the serviceability requirements. The overall project includes planning and designing of seating arrangement, exit and entry routes, stage properties, acoustics, lighting, air conditioning and false ceiling for the mini auditorium. The software AutoCAD is employed for drawings and 3dsmax for 3D modeling.

Impact of Climate Change on Chaliyar Stream Flow

Authors-Steffy Maria Simon

Abstract- – The objective of this thesis is to assess the impact of climate change on Chaliyar stream flow. Statistical Downscaling Model (SDSM) is used to downscale GCM data to finer scale. SDSM promotes the rapid development of multiple, low-cost, single-site scenarios of daily surface weather variables under current and future regional climate. SDSM downscaled climate outputs are used as input to the SWAT model and the stream flows in 2015, 2025, 2035, and 2045 are calculated. The result shows a reduction in Chaliyar stream flow in the next 20 years.

Bidirectional Based DC-DC Converters for Photovoltaic Generation Energy Storage System

Authors- M.Tech. Scholar Alka Tanwar, Asst. Prof. Mithilesh Gautam

Abstract- – In this paper a novel solar cell stand-alone photovoltaic power system is proposed, which is mainly composed of a uni directional DC/DC converter and a bi-directional DC/DC converter. Compared to the traditional stand-alone photovoltaic power system, this system exhibits the advantages of better protection and more efficient control on charge/discharge of the battery. Furthermore, it can make better use of solar energy and realize energy management of the system. The key point of energy management for the system is to control the bi-directional converter efficiently, where bi-directional voltage and current must be controlled. The overall structure of the MPPT system consists of a DC-DC converter (an electronic device that converts DC energy from one voltage level to another) and a controller. During changes in weather conditions, MPPT uses a tracking algorithm to find and maintain operation at the point of maximum power. Many different algorithms for MPPT have been proposed and discussed in the literature, but most of these methods have disadvantages in terms of efficiency, precision, and flexibility. Due to the non-linear behavior of the current voltage characteristics of the PV module and the non-linearity of the DC-DC converter due to switching, conventional controllers cannot provide an optimal response, especially when dealing with a wide range of shifting line parameters and transients. The purpose of this work is to design and implement a maximum power point tracker using fuzzy logic control algorithms. Simulink designed and simulated an MPPT system consisting of photovoltaic modules, DC-DC converters, batteries, and fuzzy logic controllers. Perform the characterization of the buck, boost and buck-boost converter to find the most suitable topology for the PV system used. The integrated model of the PV module with the identified converter and battery was simulated in MATLAB to gain the necessary experience to formulate and adjust the fuzzy logic controller. The simulation results show that fuzzy logic.

A Review on Energy Analysis and Performance of SRC and ORC Power Generation Systems Using Waste Heat Source

Authors- M. Tech. Scholar Amrita Singh, Prof. Dr. Dinesh Kumar Koli

Abstract- – The development of the world today has largely been achieved through the increasingly efficient and extensive use of various forms of energy As the energy consumption is increasing day by day across the world non renewable sources of energy will not be able to meet the future demands alone .With the increase in demand the fossil fuel consumptions is also increasing day by day, Industrial activities will produce increasing amount of waste heat. A lot of energy is generated as a result of industrial activities which can’t be practically fully utilized and goes on wasted which are further referred as industrial wastes. Conventional Rankine cycles is widely used to produce electricity but for extracting high grade energy using waste heat sources conventional Rankine cycle is not good option . Separate cycle is being developed so that energy from low grade heat source can be utilized to the greater extent. The price of the ORC components are less as compared to that of Conventional Rankine cycle also ORC are preferable for low temperature waste heat recovery. Several studies have shown that the specific amount of industrial waste heat is poorly measured, it has been studied that approximately 25 to 55% of the input energy can be converted into high grade energy in industries rest are not able to utilized.

Development of Car Rental Management System with Scheduling Algorithm

Authors- Michael G. Albino1, Victor Acebedo2

Abstract- – A system that will manage the activities of a car rental was the primary objective of this research study. With the implementation of the proposed car rental management system with scheduling algorithm, the transaction of the business will become easy and reliable. The development system will enable the users to effectively manage the transaction, scheduling and inventory of cars of the car rental business. The researchers used Extreme Programming Methodology since this type of software development methodology helped the researchers in the planning, designing, implementation and maintenance of the developed system. Based on the results gathered from the respondents of the study, the application gained a positive response on the criteria Speed and Graphical User Interface. It was noticeable that the respondents were satisfied on the performance of the developed system and the scheduling algorithm implemented in the system efficiently performed its desired operation. Based on the information the researchers gathered, the developed application for car rental business with the integration of scheduling algorithm was useful and appropriate solution to the identified problems by the researchers.

Genetic Algorithm Based Daily Power Prediction as per Environmental Features of Indian Railway Stations

Authors- *Sanjeev Kumar Sukalikar, **Dr. Anil Kumar Kurchania

Abstract- – Over the past few years, solar power has significantly increased in popularity as a renewable energy. In the context of electricity generation, solar power offers clean and accessible energy, as it is not associated with global warming and pollution. The main challenge of solar power is its uncontrollable fluctuation since it is highly depending on other weather variables. Thus, forecasting energy generation is important for smart grid operators and solar electricity providers since they are required to ensure the power continuity in order to dispatch and properly prepare to store the energy.This work focuses on estimation of solar plant output with the affecting environmental variables by using modified genetic algorithm. Genetic algorithm predicts the ratio of environmental variables that directly increase or decrease the solar power output. Work will determine this ratio by using modified butterfly particle swarm optimization algorithm.Experiment was done on real geographical location environmental variables at Raipur, Chattisgarh, India. Results were compared with existing power predictions models.

Application of Fly Ash and Silica Fume Towards the Performance of Concrete

Authors- M. Tech. Scholar Abhilash Yadav, Prof. Rajesh Joshi

Abstract- – Cement is a material that has the ability to hold concrete together. It binds coarse aggregate with fine aggregate. The use of supplementary cementitious materials is fundamental in developing low cost construction materials for use in developing countries. In this study, the physical and chemical properties of silica fume and fly ash are studied and the effect of replacing cement by silica fume and fly ash to compare the effect of presence of the replacement material on the strength of specimens to the conventional specimens are investigated. The suitability percentage of replacement by silica fume and fly ash, cubes cylinders and prisms are casted and tested. Various mix proportions are to be designed such as normal concrete mix, Silica fume and fly ash (5, 10, and 15 %) is determined. It is found that Addition of admixtures to the concrete increases the strength of high performance concrete. The effect of silica fume, fly ash in the High Performance Concrete is studied. High strength fibre reinforced concrete mix has been produced with addition of condensed Silica fume and flies ashas mineral admixtures. By the addition of fly ash in high strength concrete with different percentage of mineral admixtures, the flexural strength has been improved in all the mix.

Retirement Preparedness of Employees in San Juan City Philippines

Authors- Ann Caroline R. Calixto

Abstract- – After a long period of grinding to finish your education, it’s now time to enjoy what you have to earn working. Working yourself to get things you want, with lots of available loans to do what you want and with all the energy you have, sure it’s fun as if you’re having the time of your life. When the hype of your youth fades, when your energetic stage starts to fade off, are you ready? Life is a series of preparations. We studied to prepare for work so it’s ideal to say we work to prepare ourselves to our life later on. What would you like to do after working so long? Are you still financially independent then? How much pension would you have? Are we aware of our health while getting old? And what lifestyle would we have as retired employee? These questions don’t often pop-out of our mind when were young that’s why this research attempted to know so. This research conducted a survey with workers of San Juan City to know how prepared they are to retirement. The research measures preparedness by productivity after retirement, financial preparedness, expected monthly pension, health and wellness and a meaningful lifestyle. As a result, respondents are very likely to serve their productivity to churches and charitable institution, finishing their loans and debts before retiring, expected an amount of P10, 000 and below monthly pension, quit smoking at the age of 50 and live within their means and stick to a budget. While this research provides some relevant details regarding the retirement preparedness of employees of San Juan city, further specified research is need for validation.

Genetic Algorithm Based Daily Power Prediction as Per Environmental Features of Indian Railway Stations

Authors-Sanjeev Kumar Sukalikar, Dr. Anil Kumar Kurchania

Abstract- – Over the past few years, solar power has significantly increased in popularity as a renewable energy. In the context of electricity generation, solar power offers clean and accessible energy, as it is not associated with global warming and pollution. The main challenge of solar power is its uncontrollable fluctuation since it is highly depending on other weather variables. Thus, forecasting energy generation is important for smart grid operators and solar electricity providers since they are required to ensure the power continuity in order to dispatch and properly prepare to store the energy. This work focuses on estimation of solar plant output with the affecting environmental variables by using modified genetic algorithm. Genetic algorithm predicts the ratio of environmental variables that directly increase or decrease the solar power output. Work will determine this ratio by using modified butterfly particle swarm optimization algorithm. Experiment was done on real geographical location environmental variables at Raipur, Chhattisgarh, India. Results were compared with existing power predictions models.

Facial Expression Recognition Systems: A Survey Paper

Authors- M.Tech.Scholar Ramchandra Solanki, Asst. Prof. Vijay Yadav

Abstract- – Facial expression is one of the most important forms of non-verbal communication. Facial expressions emit the feelings of a person, and it allows judging that person by others. Some can understand facial expressions of underlying emotions to some extent, whereas many of us cannot. Facial Expression recognition (FER) system is a system to recognize expressions from a person’s face. It plays an important part in today’s world in fields of mental disease diagnosis, and human social/physiological interaction detection. Various methods of FER exist. This paper provides a summary of various processes involved in FER.

Experimental Investigation on Bricks Manufacturing by Using RMC Waste Partial Replacement

Authors- T. Bragadeeswaran, E. Eunice Evengelene, S. Gokulraj, C. Nandhini

Abstract- – In this project work has been made to study the behaviour of brick by taking proportions of Clay, Lime, and cement. In this project work takes four mix materials in two trails as Clay, Lime, cement are taking a percentage of 10%, 20%, 10% and 60% respectively and another one of 50%, 20%, 5% and 25% respectively. After casting the bricks are allowed to tests such as Compressive strength test, water absorption test were performed for the brick. The results show the variation of Compressive strength for brick at dry condition. The different dry ages are 1 day, 4 days, and 7 days.

Manufacture of Fly Ash Brick using Steel Slag and Tapioca Powder

Authors- V. Aravind, K. Dayanithi, S. Vignesh, V. Bijin Nath, M. Selvakumar

Abstract- – In fast growing today’s world development of new building materials and processing and utilization of industrial waste is being important to be reduced for achieving safe environment and conservation of scarce resources and materials. Although the use of fly ash has many advantages, its low hydration at early stage causes the strength to be low. In this study, the experimental investigation was carried out to find the optimum mix percentage of some other materials with fly ash brick. However the brick specimen of size 230mm x 110mm x 70 mm were cast for different mix percentage of Fly ash (45%), Gypsum (5%), Lime (10%), Quarry dust (20 to 30%) and SSTP Mix (10 to 20% (mix made of Steel Slag–50%)) and Tapioca powder50%)). The bricks produced in this project were about 12% lighter than clay bricks. Steel Slag and Tapioca powder mix compressive strength were studied for different mix proportions. The result shows the variation of compressive strength for different mix proportions of materials mentioned earlier at different curing ages. From the results it was inferred that, the maximum optimized compressive strength is obtained for optimal mix percentage of Fly ash – 45%, Lime – 10%, Gypsum – 5%, Quarry dust 25% and SSTP Mix –15%.

Investigations in Partially Addition of Waste Rubber Material in Concrete

Authors- V. Aravind, R. A. Arjun, S. Jeevakannan, K. Kavinkumar

Abstract- – The strength of concrete with partial replacement of waste tyre rubber chips at various percentages had been investigated. Compression and split tensile tests were carried out for three different percentages of rubber chips say, 0%, 4%, 8%% and 12% at 7 days curing period. The tests results indicate that as the percentage of rubber chips increases, lesser will be the strength of the concrete. But in case of 4% replacement of waste tyre rubber chips in concrete it shows the maximum strength compared to the other percentage replacement that is 8% and 12%. The observed strength of control specimens and 4% replacement of waste tyre rubber chips in concrete found to be almost identical. Rubber is produced excessively worldwide every year. It cannot be discharge off easily in the environment as its decomposition takes much time and also produces environmental pollution. In such a case the reuse of rubber would be a better choice. In order to reuse rubber wastes, it was added to concrete as coarse aggregate and its different properties like compressive strength, Tensile strength, ductility etc. were investigated and compared with ordinary concrete. As a result it was found that rubberized concrete is durable, less ductile, has greater crack resistance but has a low compressive strength when compared with ordinary concrete. The compressive strength of rubberized concrete can be increased by adding some amount of silica to it. The recycled rubber tyre waste is a promising material in the construction industry and the sole reason for this is the lightweight of the resulting concrete. When the rubber tyre is incorporated in it.

The Study of Physico-Chemical Characteristics Of Pravara River

Authors-Soniya Sonkar, Deepak Janardhan Gadekar, Vijay Ranjendra Sonawane

Abstract- – The present investigations of the comparative study of physico chemical parameters of Pravara River water in Ahmednagar district of Maharashtra. The samples were collected in sterilized polythene bottles of one litter capacity monitoring were done during January 2019. There are 12 Physico-chemical parameters having test observed in four sampling sites along the course of Pravara River. The sampling collection from Wilson dam, Nilwande, Kalas and Ashwi in Pravara River with the water samples collected at morning periods. Physical parameters include, pH and chemical parameters are tested Conductivity, Calcium, Magnesium, Sodium, Palash, Carbonate, Bio -carbonate, Chloride, Sulfate, Sodium Stable Ratio, Residual Sodium Carbone.

Design and Fabrication of Coconut Tree Climber

Authors-V.Chandramohan, S. Gokul, S. Mohanapradeep, P. Santhoshkumar, S. Senthilnathan

Abstract- – Primary goal of the study is to design a coconut tree climbing device for farmers and residents. It is very difficult to climb on coconut tree manually due to the constant cylindrical structure and single stem. In other type of trees there will be branches for holding and to support the climber. A professional climber with proper training only could able to climb coconut tree. As the educational background of Indian youth is increasing, most of the people may hesitate to come in climbing profession. Final concept was selected by customer preference. A working prototype of final concept has made to validate the concept. The result of final model is checked by the customer to validate the usability issues, safety measures and its function. The proposed concept is lighter than those existing by about 30% and is expected to be of lower cost on account of aluminium used in its construction in lieu of steel.

Experimental Study about Manufacturing Process of Bricks by Using Quick Lime

Authors- T. Bragadeeswaran, S.Abirami, P.Gokul, V. Nithish Kumar, J.Sneka

Abstract- – The most basic building material for construction of houses is the conventional brick. The rapid growth in today’s construction industry has obliged the civil engineers in searching for more efficient and durable alternatives far beyond the limitations of the conventional brick production. This paper aims to compile state of the art of work of manufacturing of lime bricks by using stream stone. It aims to compile this state of the art of work of manufacturing bricks in the past and the current trends in the bricks industry with respect to the raw materials. Moreover, the hazardous impacts of conventional brick manufacturing will be covered as well as all attempts of previous researches in treating the problem easily. In this, we study about the past studies and suggest more sustainable and sophisticated methods of brick manufacturing in the future.

Smart System for Indian License Plate Detection and Recognition Using Deep Learning Techniques

Authors- Asst. Prof.B Kokila,UG Student Sudarshan Pattabiraman, UG Student M Praveena, UG Student H Thabass

Abstract- – Vehicle number plate (license plate) detection and recognition system (VLPDR) using image processing methods is a potential research area in smart cities and the Internet of Things. Recognizing a vehicle’s license plate is necessary because the number of vehicles increasing and it goes beyond human’s ability to complete this task. The vehicle license recognition system commonly contains 2 sub-systems: license plate detection, which aims to locate the vehicle and its license plate; and license plate recognition, which aims to recognize the characters on the plate. This project focuses on both sub-systems by researching Indian vehicles. The type of plate is a single-line containing 1 line of character sets, which represents registered state, registered RTO code, and registered numbers respectively from left to right. This project revolves around an approach to deep learning with some image processing concepts. Here, for the detection of the License plate from an input image a pre-trained object detection algorithm, YOLOv3 is used which is very fast and as accurate as Single Shot Multibox Detector (SSD), while the recognition phase deals with segmenting and training the license plates by using deep learning (OpenCV and Keras). The final output of the license plate is displayed. The accuracy of this project for object detection is very high for a good resolution image input and for recognition the accuracy is high.

Impact of Coating on Performance of 150 CC Pistons

Authors- Student of M.Tech. Nitesh Kumar, Gouraw Beohar(HOD),Asst. Prof. Anshul Jain

Abstract- – The thermal energy generated in IC engine fire chamber cannot be completely converted into a useful work due to loss of heat transfer. This leads to a decrease in engine performance. To counteract this, pistons are bound with various substances such as molybdenum disulphide, chromium nitrides and other substances. These thermal insulation covers improve engine performance by preventing heat loss. In this trial, the effectiveness and efficiency of Tungsten Carbide coated piston for different layer was investigated. So here we introduce a Tungsten Carbide coated piston which performs quiet better than uncoated piston, so that durability of piston will increase from uncoated piston. From analysis we can see that coated piston runs more than 30% extra which increases piston life and it reduces maintenance.

Partial Replacement of Coarse Aggregate with Waste Plastic in Concrete

Authors- T. Bragadeeshwaran, A. S. Kiruthika Devi, D. Manju Shree, R. Pakya Sree

Abstract- – This paper investigates the effect to fusing waste plastic materials on the concrete. Waste plastic were collected from homes. Most plastics are not biodegradable. They will stay in landfills until they are cleaned up. An important problem we are facing is dumping of plastic materials it causes lot of problems. In order to decrease the plastic waste, it can be used in construction field, plastic is inorganic in nature so it does not alter the chemical properties of concrete and also it does not affect the quality and consistency of concrete. The plastic can be as filler material in concrete as well as it can be used to improve the mechanical properties of concrete. Concrete is a composite material consists of Cement, Water, Fine Aggregate and Coarse Aggregate. High strength concrete was prepared of W/C 0.35 and the percentage of waste plastic replaced by 3, 6, 9, 12, 15 and18 % of cement, coarse aggregate used in concrete.

An Experimental Study on Strength and Behaviour of Air Entrained Light Weight Concrete

Authors- T. Bragadeeshwaran, , P. S. Balasubramaniyam, S. Kavin Kumar, K. Nandhavel

Abstract- – The purpose of the project is to study experimentally the strength and behaviour of Air Entrained Light Weight Concrete. Air entrained concrete results from using either air entraining cement or an air-entraining admixture during mixing process. In this project Aluminium powder is used as Air Entraining Agent. The fine powder of aluminium reacts with the calcium hydroxide in the cement matrix with water produces hydrogen gas. This hydrogen gas in the mix gives the cellular structure and makes the concrete lighter than the conventional concrete thereby reducing the dead weight of concrete. The cement is replaced with 1%, 2%, and 3% of Aluminium powder by weight. For this study, specimens are cast using M30 grade concrete. Concrete mechanical properties such as compressive strength, split tensile strength, flexural strength are determined for air entraining mix using aluminum powder. Also the tests for concrete such as Workability, Water absorption, Density test for light weight property are done in this project.

Retirement Preparedness of Employees in San Juan City Philippines

Authors- Ann Caroline R. Calixto

Abstract- – After a long period of grinding to finish your education, it’s now time to enjoy what you have to earn working. Working yourself to get things you want, with lots of available loans to do what you want and with all the energy you have, sure it’s fun as if you’re having the time of your life. When the hype of your youth fades, when your energetic stage starts to fade off, are you ready? Life is a series of preparations. We studied to prepare for work so it’s ideal to say we work to prepare ourselves to our life later on. What would you like to do after working so long? Are you still financially independent then? How much pension would you have? Are we aware of our health while getting old? And what lifestyle would we have as retired employee? These questions don’t often pop-out of our mind when were young that’s why this research attempted to know so. This research conducted a survey with workers of San Juan City to know how prepared they are to retirement. The research measures preparedness by productivity after retirement, financial preparedness, expected monthly pension, health and wellness and a meaningful lifestyle. As a result, respondents are very likely to serve their productivity to churches and charitable institution, finishing their loans and debts before retiring, expected an amount of P10, 000 and below monthly pension, quit smoking at the age of 50 and live within their means and stick to a budget. While this research provides some relevant details regarding the retirement preparedness of employees of San Juan city, further specified research is need for validation.

A Review on Brain Tumor Detection a Classification Using Machine Learning Technique

Authors-M. Tech. Scholar Rameez Ahmad Kuchay, Asst. Prof. Zuber Farooqui

Abstract- – Detection and classification of brain tumors from modem imaging methods is a major problem. But this is a time-consuming or deadly job done by a radiologist or clinical supervisor. The precision of radiologist detection o of tumor phases depends only on their experience. Therefore, use of computer-aided technology is very significant in helping diagnostic accuracy. Imaging techniques such as separation, enhancement and edge detection etc. Have been widely used for more than a decade. Image analysis related to this field such as panchromatic sharpening medical image analysis biomedical analysis is extremely important. Image processing plays a significant role for analysing MR images. Advanced techniques or algorithms need to be developed for automatic detection of brain tumor from MR images so that the doctor can take informed decision during drug administration In this thesis, we investigate the problem of automatic detection of brain tumor with the help of image processing techniques by comparing segmentation score, accuracy of the classification and dice similarity index. We have studied and extract different features for classification of tumor type. Over the past few years, many studies have focused on traditional or classical machine learning techniques for brain tumor diagnosis. Recently, interest has developed in using deep learning techniques for diagnosing brain tumors with better accuracy and robustness. This study presents a comprehensive review of traditional machine learning techniques.

Thermal Analysis of Shell and Tube Heat Exchanger Using Artificial Neural Network

Authors-Dhananjay Kumar, Asst. Prof. Deepak Solanki

Abstract- – This explains the effective utilization of artificial neural network (ANN) modeling in various heat transfer applications like steady and dynamic thermal problems, heat exchangers, gas-solid fluidized beds etc. It is not always feasible to deal with many critical problems in thermal engineering by the use of traditional analysis such as fundamental equations, conventional correlations or developing unique designs from experimental data through trial and error. Implementation of ANN tool with different techniques and structures shows that there is good agreement in the results obtained by ANN and experimental data. The purpose of the present review is to point out the recent advances in ANN and its successful implementation in dealing with a variety of important heat transfer problems. Based on the literature it is observed that the feed-forward network with back propagation technique implemented successfully in many heat transfer studies. The performance of the network trained were tested using regression analysis and the performance parameters such as root mean square error, mean absolute error, coefficient of determination, absolute standard deviation etc. The authors own experimental investigation of heat transfer studies of tube immersed in gas-solid fluidized bed using ANN is included for strengthening the said review. The results achieved by performance parameters shows that ANN can be used reliably in many heat transfer applications successfully.

Brain Tumor Detection a Classification Using Machine Learning Technique

Authors- M.Tech. Scholar Rameez Ahmad Kuchay, Asst. Prof. Zuber Farooqui

Abstract- – In spite of lots of research has been reported and investigated by many researchers using the modem techniques, it seems that there is a withal scope for the improvement of the actual MRI based brain tumor segmentation, detection and classification. Based on the literature review & critical finding, the objective of the proposed thesis work is given as follows. To develop a segmentation method which provide a highest degree of segmentation score, dice coefficient, characterization of tumor tissues (white matter, gray matter, and edema), and other performance parameters from MR pictures of brain tumor. To evaluate the segmentation accuracy of these methods against a gold standard produced by manual segmentation and other available techniques. To propose segmentation with a classification scheme optimize using feature selection for categorizing the type of brain tumor classes. To evaluate the segmentation performance for the MR images available in compressed form so it will help in the advancement of e-health care technology and also to developed a auto-report generation technique for the quick diagnosis analysis.

Mask Detection Using Convolutional Neural Network

Authors- Vikas Kharkwal, Tenzin Jamtsho, Brajehdra Kumar Sharma, Yogeshwar Maithani

Abstract- – The world is going through a tough time as we are in the middle of a pandemic caused by the corona virus (SARS- CoV-2). The guidelines issued by the WHO indicate the use of face masks in public for preventing the spread of the virus. The project aims to train a neural network to detect whether a person is complying with the requirement for a mask. This tech can be applied in entrances of high traffic areas such as metros and airports, which have the highest risk of transmission, to determine whether or not to allow entrance. This will help officials to monitor the people while maintaining a safe distance and preventing them from getting infected.

A Review on Secure Data Search Based on Encryption and Decryption Techniques in Cloud Data

Authors- M. Tech. Scholar Shraddha Verma, Asst. Prof. Dr. Neha Singh

Abstract- – Cloud computing has created a paradigm shift in the way information technology resources are provided and consumed by increasing agility and lowering costs. However, cloud-security concerns appear at the top of almost all surveys. Traditional security solutions are having a hard time trying to keep up with the growing security needs of the ever-changing threat landscape in today’s cloud environment. This research paper aims to explore the concept of cloud security and its impact on the present day IT environment. We try to classify the security risks in the cloud environment, assess the cost of cloud security, delve into the types of attacks, look for currently available security solutions and arrive at a roadmap for cloud security. Cloud Server provides storage and search services. To perform efficient searches, the cloud uses verification keys to maintain privacy protection or meet authentication requirements and provide equivalent proof of encrypted documents based on tokens. Most security issues are caused by people deliberately creating malicious or malicious purposes. This Paper reviews and examines some Encryption and Decryption technologies. As a result, the better solution to the symmetric key encryption and the asymmetric key encryption is provided.

A Review on the Various Security Techniques and Attack for Vanet

Authors-M. Tech. Scholar Pooja Verma, Asst. Prof. Dr. Priyanka Shivhare

Abstract- – The network topology modify promptly. The conception of routing protocols in VANET is insistent in supporting the ITS. As a mandatory to communication, the VANETs routing protocols should create a powerful route among network nodes. As well, they should arrange accurately to changeable topology of affecting vehicles. In proposed, we take decision major attribute or research difficulties of routing within VANETs, which may think in make structure different routing protocols. We also generated classification of present routing protocols for VANETs, and we are studied or evaluated represent example for all category of protocols. This proposed is explanation present improvements of the existing protocols in this field, or paves the way for clarification to unaddressed troubles. Vehicular communications are prevailing mode of transmit information amid automobiles. This is the secure functions of vehicular communication is vehicular ad hoc network, a progress to intelligent convey structure. VANET is a subclass of mobile ad hoc network that does not build upon established structure, in which nodes are extremely mobile.

Analysis and Prediction of Stock Market Performance using Ensemble RNN

Authors- Prof. Dr. P. Saveetha, S. Anisha, V. Mohanapriya, K. Pavithra, S. Suryaprabha

Abstract- – Stock prices prediction is interesting and challenging research topic. Developed countries’ economies are measured according to their power economy. Currently, stock markets are considered to be an illustrious trading field because in many cases it gives easy profits with low risk rate of return. Stock market with its huge and dynamic information sources is considered as a suitable environment for data mining and business researchers. The aim is to predict the future value of the financial stocks of a company. The recent trend in stock market prediction technologies can use of data science which makes predictions based on the values of current stock market indices by training on their previous values. Recurrent Neural Network (RNN) is used to processing sequential data and it gives more accuracy in prediction of stock prices. This work focus on the use of Ensemble RNN to predict stock values.

Fake Review Classification from Product
Reviews vs Deep Learning

Authors- Asst. Prof. V. Kavitha, Asst. Prof. J. Charanya, S. Deva, R. Maniraj, G. Surya, R. Yuvaraj

Abstract- – Fake reviews may change their customer mindset. A large number of reviews are affect the product quality and user damage the product usage. They will number of fake reviews are even cause genuine user opinion and user experience crises. Therefore, it’s important to detect and solve to filter the fake reviews and remove all fake reviews. However more existing methods are lower accuracy and most of fake reviews are some algorithms are not detected. To solve thisproblem, we propose a new approach and change that existing approaches, Solve the problem and we addmethod to detect fake reviews and based on multiple features and rolling collaborative training. We use First method to multiple features and sentiment features of reviews and behavior features of reviewers. Second features are data set to training in sample set. We designed all algorithms to extract all the features of review. The classifications of reviews are algorithmic to detect that remove manually. The support vector (SVM) classifier has been proven to be by statistical means. It means multiple features and higher accuracy than the baseline models. Meanwhile to resolve the problem of more lacking algorithm and training samples in fake review detection.

Transformer less Enhanced Electronic
Stabilizer for Voltage Improvement

Authors- Associate Prof.J. Kumaresan, Anjali Chandran, P. Vithersana, C. Priya

Abstract- – AC voltage stabilizer effectively convertible into uninterruptible force Supply. When contrasted with other AC stabilizers the mechanical assembly as per the innovation offers high proficiency and simplicity. The AC stabilizer can undoubtedly be changed over into a genuine UPS by adding a battery which by mediator of a battery Interface. The swearing off phase of voltage stabilizer utilized in ventures or for family is Servo Voltage Stabilizer. The recently presented innovation which prohibits this old-fangled, low voltage, high rectification time, high support issues of servo stabilizer is Static Voltage Stabilizer (SVS). Static Voltage Stabilizer does exclude any moving parts as in servo voltage stabilizer. The undertaking manages the static voltage stabilizer which is constrained by PIC16f877A based regulator and a voltage changes are accounted with the assistance of Buck-Boost converter.

Design and Production of fiber enriched Beer by optimizing Freekeh into Brewing Process

Authors- Asst. Prof. Sangeetha Gandhi. S, DhilipKumar. M, Karthika. R, Nithyashree. K

Abstract- – Brewing is the process of production of malt beverages. Beers like Ale, Alt, Pilsner, Muncher, Porter, Lambric are the main malt beverages produces by the method called Brewing. Historically, Beer was produced from malted barley. It is commercially produced by the controlled fermentation of wort, nitrogenous compounds, liquids rich in sugars, trace elements and sulphur compounds extracted from barley. To lessen the import costs, we want to produce a beer that may the similar characteristics like beer from another cereal, Freekeh. Freekeh is one of the categorie of wheat. It is a cereal made from Green Durum wheat that is roasted and rubbed to makes its flavor. Freekeh used in brewing after processing gives a good mouth feel rather that that of a normal Barley beer. It contains full of fiber content (3 times as much as brown rice) which has been shown to improve digestion, and assists to control weight. The present study gives a good result in terms of taste, nutrient content etc.

A Review on CFD Analysis of Tubular Heat Exchanger with Ribbed Twisted Tapes for Heat Exchanger Enhancement

Authors- M.Tech. Scholar Vinita Kapse, Prof. Sharvan Vishwakarma K

Abstract- – A heat exchanger is really a system that transfers heat between two or more fluids. The fluids can also besingle-phase or two-phase, so they can be isolated or in close contact, depending on the form of exchanger. In thisstudy, two twisted ribbons are inserted into another heat exchanger tube and heat transfer is studied. The aim ofboth the ongoing project is to figure out how fast heat transfers in a circular tube with entangled ribbons. For a circular tube, the application of combined double twisted-tapes and V-ribs attached on the tape edge has never been come across in the literature. Considering the merits of both devices, a new enhancement device is offered by incorporating the rib into the twisted-tape edge. The insertion of this compound device is expected to yield stronger turbulence intensity in the near-wall regime by the rib and fast fluid mixing by the double twisted tapes, leading to higher heat transfer augmentation in the tube.

An Experimental Project of Replacing the Bricks by using Interlocking Blocks

Authors- Associate Prof. N. Atthikumaran, S. Gowri Shankar, T. Karthikeyan, M. Perkmans

Abstract- – The use of interlocking bricks masonry has gained rapid popularity in many foreign countries as an alternative to conventional bricks for sustainable housing. It is being always challenge for researchers to make interlocking brick light weight, low cost and improve the performance against aggressive environment. An experimental effort made in this concern. This paper gives the results of an experimental investigation in which the compressive strength, water absorption and density were investigated by using varying percentage of fly ash, stone dust, and sand with different mix proportion. A manmade fibre, glass fibre reinforce polymer (GFRP) utilize as reinforcing material to produce the interlocking blocks which gives appreciable results discuss in detail. The experimental results compared with that ordinary brunt clay brick and interlocking brick found durable in aggressive environments and have sufficient strength for their use in sustainable building construction.

Experimental Investigation of Partial Replacement of Fine and Coarse Aggregates by the Components of Zari Along with the Steel Slag

Authors- Associate Prof. N. Atthikumaran, K. S. Naveen kumar, R. Sree Ragul, P. Vigneshwaran

Abstract- – This paper presents the results of Design and investigations carried out to evaluate the effects of replacing fine and coarse aggregate with Steel slag along with the components of Zari on various concrete properties. The main purpose of utilizing the Zari in this project is to minimize the environmental pollution and wastage of valuable metals like Gold and Silver. The basic objective of this study is to identify the alternative source of good quality aggregates which is depleting very fast due to the fast pace of construction activities in India. Use of zari, a waste industrial byproduct of weaving industry provides great opportunity to utilize it as an alternative to normally available aggregates. In this study, Concrete of M30 grade is considered for a W/C ratio of 0.45 for the replacements of 0%, 5%, 10% and 15% of both fine and coarse aggregates by zari slag. Whole study was done in two phases, i.e. replacement of normal crushed coarse aggregate with melted and crystallized zari slag and replacement of natural fineaggregate with melted and granular zari slag. This project shows that replacing of natural aggregates by steel slag aggregates along with the components of zari causes a negligible degradation in strength. It also shows that, as the amount of zari slag is increased beyond 75%, the work ability of the concrete mixture became an important issue which eventually requires larger amounts ofwater reducing admixtures to achieve a minimum slump.

Preparation and Phytochemical Analysis of Herbal Finished Face Mask

Authors- Preparation and Phytochemical Analysis of Herbal Finished Face Mask
Asst. Prof. Kousalya L, Saravanapriya P. M, Benazir M

Abstract- – As the coronavirus (Covid-19) pandemic spreads, technological applications and initiatives are multiplying in an attempt to control the situation, treat patients in an effective way and facilitate the efforts of overworked healthcare workers, while developing new, effective vaccines. Ever since the pandemic hit, students, entrepreneurs and innovators have been coming up with unique protective equipment to help humankind fight the Coronavirus. Masks should be used as part of a comprehensive strategy of measures to suppress transmission and save lives; the use of a mask alone is not sufficient to provide an adequate level of protection against COVID-19. A large amount of chemical materials are used in the process of textile manufacture. The chemicals and viruses are constantly inhaled by the people. The mask made from herbal extracts like orange, lemon, clove and cinnamon in the fibre that provides antibacterial and anti-viral properties. The herbal masks prepared from the extract of Citrus sinensis, Citrus limon, Syzygium aromaticum and Cinnamonum verum. The face masks prepared from the Citrus sinensis, Citrus limon, Syzygium aromaticum and Cinnamonum verum are anti-viral in nature so using these masks will lessen the spread of corona than the normal masks. Also these herbal masks will be a good choice because of its non-allergic herbal activity. These masks may protect the skin from the chemicals.

Enabling Public Verifiability for Storage
Security in Cloud Computing

Authors-Asst. Prof. V. S. Suresh Kumar, Praveen. S, Kavin Kumar K, Arun Prasanth. B, Dinesh Kumar

Abstract- – In this paper, we propose a novel privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. In addition, our mechanism is able to perform multiple auditing tasks simultaneously instead of verifying them one by one. The propose system, a privacy-preserving public auditing mechanism for shared data in the cloud. We utilize ring signatures to construct homomorphism authenticators, so that a public verifier is able to audit shared data integrity without retrieving the entire data, yet it cannot distinguish who is the signer on each block. To improve the efficiency of verifying multiple auditing tasks, we further extend our mechanism to support batch auditing. There are two interesting problems we will continue to study for our future work. One of them is traceability, which means the ability for the group manager to reveal the identity of the signer based on verification metadata in some special situations. AES is associate degree unvarying instead of Feistel cipher. It’s supported ‘substitution–permutation network’. It contains of a series of joined operations, a number of that involve exchange inputs by specific outputs and other involve shuffling bits around. Interestingly, AES performs all its computations on bytes instead of bits. Hence, AES treats the 128 bits of a plaintext block as sixteen bytes. These sixteen bytes square measure organized in four columns and 4 rows for process as a matrix.

Computational Simulation of Energy Analysis for Industrial Application Using ORC with Eco-Friendly Refrigerant

Authors-M. Tech. Scholar Amrita Singh, Prof. Dr. Dinesh Kumar Koli

Abstract- – The construction of the modern world has achieved too much by increasing the availability and widespread use of various models of energy. The ORC uses a liquid that is more suitable than in water at the point of use of heat with a low temperature. The ORC cycle, unlike the racing circuit, is attractive for local energy and small for electrical energy. In this experiment, this was done using EES software to test the thermodynamically ORCs using different fluids. The influence of the working fluid on the ORC performance of the discharge power lift, overall performance and rank efficiency were presented. The R290 has a higher overall performance than that of turbine efficiency as much as 70% -88% when it is similar to the R600a and R134a. If ORC is going to work with greater turbine efficiency, the R290 report depends on whether we want to know more about overall performance or Rankine efficiency.

The Role of Stress, Depression and Social Support in Students’ Suicidal Ideation among University Students in Malaysia

Authors-Nur Amanina Muhammad Tamizi, Asma Perveen

Abstract- – In recent years, suicidal ideation has become a global threat among youth and only few researches has been carried out to link suicidal ideation with psychological disorders and the preventative factors that can buffer suicidal ideation. This current research is to investigate the role of stress, depression and social support in students’ suicidal ideation in 122 university students from Sultan Idris Education University (UPSI), using online computer administration survey. The survey consists of five sections and ethical consideration is taken to avoid any misconduct. The psychological instruments used in this research are Perceived Stress Scale (PSS), Beck Depression Inventory (BDI), Multidimensional Scale of Perceived Social Support (MSPSS) and Scale for Suicide Ideation (SSI). The collected information were then analyzed using descriptive and inferential analysis. The results shows that each variables correlates with one another. The Pearson correlation of PSS and SSI, and BDI and SSI indicated that the variables have a statistically significant linear relationship with r = .240 and r = .548, respectively. Meanwhile, MSPSS and SSI are negatively correlated with r = -.324, which indicated that lower support system, higher tendency of suicidal ideation. All hypotheses are accepted and supported from past researches. Therefore, as a conclusion, stress, depression and social support does play a role in students’ suicidal ideation among university students.

An Approach to Delineate Land Use/ Land Cover Classification Analysis Through Geospatial Technology: A Case Study of Krishna Raja Nagara Taluk of Karnataka State, India

Authors-Manjunatha M.C, Abrar Ahmed, Basavarajappa H.T

Abstract- – Land is one among the non-renewable resources and its mapping is vital in land and water resource development. Land is a part of earth surface that supports all attributes of regions together with the atmosphere, soil and underlying geology. Hydrology, plant and animal population are the results of the past and present human actions to the extent that considerably influences on land patterns sustainability. Remote Sensing (RS) satellite images with its synoptic reading and multispectral informationembrace essential data for scientific handling of LU/LC conditions of the larger areas. Efforts have been made to classify the LU/LC patterns using False Color Composite (FCC) data of IRS-1D PAN+LISS-III (Band: 2,3,4) through ArcGIS v10. An attempt have been made to delineate the level-I, level-II and level-III LU/LC classification analysis through NRSC guidelines (1995) using both digital and visual image interpretation techniques in GIS environment. The classification accuracy is found to be more precise in case of digital technique as compared to that of visual technique in terms of area statistics. The database provides spatial baseline information in distribution, extent and temporal behavior of specific land pattern in planning and implementation of development strategies in the country.

An Approach to Delineate Land Use/ Land Cover Classification Analysis Through Geospatial Technology: A Case Study of Krishna Raja Nagara Taluk of Karnataka State, India

Authors-Manjunatha M.C, Abrar Ahmed, Basavarajappa H.T

Abstract- – Land is one among the non-renewable resources and its mapping is vital in land and water resource development. Land is a part of earth surface that supports all attributes of regions together with the atmosphere, soil and underlying geology. Hydrology, plant and animal population are the results of the past and present human actions to the extent that considerably influences on land patterns sustainability. Remote Sensing (RS) satellite images with its synoptic reading and multispectral informationembrace essential data for scientific handling of LU/LC conditions of the larger areas. Efforts have been made to classify the LU/LC patterns using False Color Composite (FCC) data of IRS-1D PAN+LISS-III (Band: 2,3,4) through ArcGIS v10. An attempt have been made to delineate the level-I, level-II and level-III LU/LC classification analysis through NRSC guidelines (1995) using both digital and visual image interpretation techniques in GIS environment. The classification accuracy is found to be more precise in case of digital technique as compared to that of visual technique in terms of area statistics. The database provides spatial baseline information in distribution, extent and temporal behavior of specific land pattern in planning and implementation of development strategies in the country.

Structural Investigation and Optimization of Long Span with Short Span of Hypothetical Bridge

Authors-M.Tech.Scholar Vishvadeep Sharma,Prof. Sourabh Dashore

Abstract- – Bridges have an important role in impacting the civilization, growth and economy of cities from ancient time until these days due to their function in reducing transportation cost and time. Along these lines, improvement of extensions has been an information area in structural designing investigations regarding their sorts and development materials to affirm a dependable, sheltered, financial plan and development. Brace scaffold of the solid deck and I- bar support has been utilized generally for short and medium-range spans due to straightforwardness and ease of manufacture. Nonetheless, numerous hypothetical and pragmatic examinations are as yet attempted concerning the kind of bar brace; i.e steel composite or prestressed concrete. This paper assesses the impact of extension range and the kind of support on the capital expense and life cycle expenses of scaffolds. Three kinds of braces were explored in this examination: steel composite, pre-tensioned pre-focused on cement and post-tensioned pre-focused on concrete. The basic plan was investigated for 6.2 m range lengths to 9.3 m. At that point, the capital development cost was represented extensions as per each length and development materials. Besides, the upkeep needed for a very long time of extension life was assessed and developed as entire life costs for each scaffold. Because of this examination, the impact of both range length and sort of brace on starting development cost and upkeep entire life costs were evaluated to help the chiefs and creators in the choice cycle for the ideal arrangement of support spans.

Face Detection by Robotic Dog

Authors-Samyak Jain, Aditya Kumar, Ujjwal Kumar Singh

Abstract- – The field of human-robot interaction (HRI) addresses the design, understanding, and evaluation of robotic systems, which involve humans and robots interacting through communication. Artificial Intelligence Markup Language (AIML) is derived from Extensible Markup Language (XML) which is used to build up conversational agent artificially. As the field matures, education of students becomes increasingly important. Courses in HRI provide the canonical set of knowledge and core skills that represent the current state of the field and permit the evolution of knowledge and methods to be transferred from research to a broad set of students. Furthermore, HRI coursework creates a workforce willing to pass the theory of HRI to reality. However, HRI courses are mostly ad hoc, as would be anticipated for an emerging sector. This article summarizes the discussion and results from the workshop on the creation of an HRI course for computer scientists and engineers, Educating Humans About Human-Robot Interaction. A lot of work has been done to create a conversational agent. But in different applications, low cost, configuration and availability make it possible to use it. Cultural heritage, e-learning, e-government, interaction platform, humorist expert, network management, adaptive modular architecture are all related to these applications. A lot of work is being done to create a conversational agent. But low cost, configuration and availability make possible to use it in different applications. Not only do they offer helpful resources, but they also connect with clients and provide solutions to their problems. We draw a careful inference that individuals communicate with structures that reflect human-like attitudes differently, so they will interact with them in robot.

Experimental Study on the use of Pumice as Coarse Aggregate in Structural Concrete

Authors-Rishik Sarkar, Ridul Saud

Abstract- – Applications of Lightweight Concrete for development works is rapidly growing because of their various advantages over conventional concrete [9]. This experimental study is undertaken by utilizing Pumice as coarse aggregate. One major demerit of conventional concrete is its high self-weight. This substantial self-weight will make it somewhat an uneconomical construction material [10]. Lightweight concrete results in a decrease of dead load and an increase in thermal insulation [9]. In this investigation, an attempt has been undertaken to find out whether pumice lightweight concrete can be used as structural concrete. This is carried out by comparing conventional concrete and lightweight aggregate concrete using the M30 mix [1]. Lightweight concrete is prepared by partial replacement of coarse aggregate with various percentages of pumice, viz., 25%, 50%, 75% and 100%. This project is undertaken to determine the mechanical and durability properties of lightweight aggregate concrete, i.e., Compressive Strength, Split Tensile Strength and Acid Resistance, after 7 and 28 days of curing and hence find the suitable replacement concerning the above-mentioned replacement percentages [4]. The results indicate reduced mass without significant change in acid resistance, whilst maintaining adequate strength. The different engineering properties of pumice aggregate concrete were compared to that of conventional concrete.

Face Recognition Using AI + BIOTECH

Authors-Aditi Uniyal, Dharmendra Bisht, Shivank Verma

Abstract- – How to accurately and effectively identify people has always been an interesting topic, both in research and in industry. With the rapid development of artificial intelligence in recent years, facial recognition gains more and more attention. Compared with the traditional card recognition, fingerprint recognition and iris recognition, face recognition has many advantages, including but limit to non-contact, high concurrency, and user friendly. It has high potential to be used in government, public facilities, security, e-commerce, retailing, education and many other fields. Accurate face recognition is critical for many security applications. Current automatic facerecognition systems are defeated by natural changes in lighting, pose and masks, which often affect face images more profoundly than changes in identity. The only system that can reliably cope with such variability is a human observer who is familiar with the faces concerned.We have discussed model human familiarity by using image averaging to derive stable face representations from naturally varying photographs. This process involves three stages: Pre-processing, Feature Extraction and Classification. The geometric features of facial images like eyes, nose, mouth etc. are located and face recognition is performed. This simple procedure can increase the accuracy of an industry standard face-recognition algorithm from 54% to 94%, bringing the robust performance of a familiar human to an automated system. We focus on importance of most successful solution available so far ,all together with its methods and uses also in areas not related to face recognition.

Performance of Natural Circulation Loop Using Distilled Water and Aluminum Oxide as a Nano Fluid

Authors-Asst. Prof. Mohd. Attalique Rabbani, Mohammed Imad Ali, Mohammed Nizamuddin Tousif, Mohammed Musaib Hussain

Abstract- – The main advantage of the natural circulation system is that the heat transport function is achieved without the aid of any pump. The absence of moving/rotating parts to generate the motive force for flow makes it less prone to failures reducing the maintenance and operating costs. The motive force for the flow is generated within the loop simply because of the presence of the heat source and the heat sink. A large variety of combinations of nanostructures and heat transfer fluids can be used to synthesize stable nanofluids with improved thermal transport properties. Nanostructures made from metals, oxides, carbides and carbon nanotubes can be dispersed into HTFs, such as water, ethylene glycol, hydrocarbons and fluorocarbons with or without the presence of stabilizing agents. In most experimental studies, nanofluids are synthesized in a two-step process, which are the first and the most classic synthesis method of nanofluids. In the present work nanoparticles of ZnO, CuO and Al2O3 were orchestrated. These integrated nanoparticles were then portrayed by utilizing different procedures like X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX).

Performance of Natural Circulation Loop Using Distilled Water and Aluminum Oxide as a Nano Fluid

Authors-M. Tech. Scholar Neha Charpe, Asst. Prof. Anubhav Sharma

Abstract- – Healthcare is given the extreme importance now a- days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient’s heartbeat, temperature and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information’s in server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance.

Performance Enhancing Algorithms in Machine Learning

Authors-Abhinav Sharma, Jayant Dhingra

Abstract- – Healthcare is given the extreme importance now a- days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient’s heartbeat, temperature and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information’s in server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance.Machine learning is predominantly an area of Artificial Intelligence which has been a key component of providing solutions for the modern problem of digital arena. In this paper we present some of the unorthodox yet robust techniques in Machine Learning which assists in improving the efficacy of various machine learning models. Our use of these methods aims at classification techniques to increase their performance. Classification algorithms are very hefty in the terminology of performance but there are some methods that can help us to further make classification algorithms more efficient.

Daily Living of Senior Citizen

Authors-Animesh Kumar Tiwari, Anushka Sharma, Adarsh Gautam

Abstract- – One of the particular highlights of this century has been the number of inhabitants in more seasoned grown- ups which has been on a steady ascent. Old individuals have a few necessities and prerequisites because of actual handicaps, intellectual issues, debilitated memory and muddled conduct, that they face with expanding age. The degree of these limits additionally varies as per the fluctuating varieties in older, which incorporate age, sex, foundation, experience, abilities, information, etc. These changing requirements and difficulties with expanding age, limits capacities of more established grown-ups to perform Activities of Daily Living (ADLs) in a free way. To add to it,the lack of parental figures makes an approaching requirement for innovation based administrations for old individuals, to help them in playing out their every day schedule undertakings to support their free living and dynamic maturing. To address these requirements, this work comprises of making three significant commitments in this field. In the first place, it gives a fairly complete survey of helped living advances pointed toward assisting old individuals with performing ADLs. Second, the work talks about the difficulties recognized through this survey, that presently exist with regards to execution of helped living administrations for old consideration in Smart Homes and Smart Cities. At long last, the work additionally traces a methodology for execution, augmentation and combination of the current works in this field for advancement of a truly necessary structure that can give customized help and client focused conduct mediations to older according to their shifting and steadily evolving needs.

Transparency in Oil and Gas Industry Using Blockchain

Authors-Nikhil Pathak, Abhishek Chaurasiya, Manish Chaurasiya, Asst. Proff. Sachin Kumar

Abstract- – The following paper is ennobled as “TRANSPARENCY IN OIL AND GAS INDUSTRY USING BLOCKCHAIN”. Stress is laid on indispensable issues viz. data record, keeping an eye on the workflow inside the industry, transaction and cross border payments in an oil and gas industry. The industry triggers its functions in three junctures, namely, upstream, midstream and downstream. Earlier, the employees that were involved in the trading process were oblivious to the iniquity present in the former mentioned stages; also, the departments were connected via central node. Now, through the introduction of blockchains, decentralized networks have been established in the system. In ratiocination, the percipience of blockchain technology in the oil and gas industry is quite slim. Applications are still in a blossoming stage and investments are not enough. Blockchain has considerable latitude in the oil and gas industry. For instance, it can heavily reduce the transaction costs, improve efficiency with copious amounts of transparency and so on and so forth. Being in its infancy period, the technology encounters various hurdles associated with regulation and system transformations. Slowly and gradually, with proper advancements in the field, a paradigm change would enforce the current blockchain system towards a hybrid blockchain architecture combined with various multi-technological resources incorporating cross chain swaps, hybrid consensus mechanism and more interdisciplinary innovations. Reading along further in the paper, the issues discussed in the former paragraphs would soon appear to be resolved to a great extent.

Client Solutions

Authors-Mosab Khalid, Ramji Kanaujia, R Vijay, Mo. Dishad

Abstract- – Client Solutions will enable to draw the details of the client along with the job alloted to that particular client with just one button click.This will help to reduce the effort for the client to solve their problems. Nowadays everything goes online so it is very essential to have a software which helps to solve the problems related to their work or projects or software. This system will reduce the time, energy, money wasted in manually searching the details of the clients, with the help of this system the work of the client are properly channelized. In the era of information technology a lot of products are being designed or developed for the client and in that designed products the clients faces many problems regarding design, interface, coding. This proposed system will help the client to overcome those problems regarding design, coding by interacting with the developer via this system.

Umpire Decision Review System in Cricket

Authors-Pallav Chaudhary, Gourang Ajmera, Saket Joshi

Abstract- – The Umpire Decision Review Method (UDRS) is a strategy used in cricket or any other sport to circumvent the on-field umpires’ contentious decisions about ruling a batsman out or not (in cricket). The accuracy of UDRS comes to around 90%. It uses number of specific simulations such as Super Slow-Motion and other video replay etc. On-field Umpires, Batsmen, Fielding Captains and TV Umpires are instruments within a dynamic system of contact protocols. With the help of a live cam, the Third Umpire DRS will help the umpires evaluate the case and will allow him to use functions such as reviewing, pacing it quickly, pacing it slowly, and pacing it very slowly to help him determine the original decision’s outcome. It will make decision making clearer and easier. It is cost effective, easily implemented and doesn’t require any complex AI technology. We have plethora of investment made on UDRS in national international sport ventures which are complex in terms of their financial and technological capacity. Therefore, we wish to present this cost-effective system for grass root level matches such as the state and district level. This will not only improve decision making quality effective from the roots it will also give a technological exposer to the district and state- local games!

Combustion Analysis of Pulsejet Engine Using CFD

Authors-M. Tech. Scholar Ganesh Motekar, Prof. G.R. Kesheorey (Supervisor & HOD), Dr. A.J. Siddiqui (Executive Director)

Abstract- – The performance of pulsejet engine is significantly affected by efficiency of combustion taking place. The efficiency of combustion depends on type of fuel inlet configuration and number of fuel inlets. The current research investigates the combustion characteristics of single fuel inlet, double fuel inlet type and three fuel inlet type designs in vertical configuration. The combustion analysis is conducted using Computational Fluid Dynamics and with eddy dissipation combustion model. The CAD model is developed in Creo design software and CFD analysis is conducted using ANSYS CFX software. The static enthalpy, pressure and thrust generated are evaluated for all the three designs. The CFD analysis has shown that three fuel inlet design configurations resulted in significant increase in thrust generation as compared to two fuel inlet design.

A Review on a Gas Turbine Blade with Different Geometrical Perforated Holes

Authors- Research Scholar Abhijeet Tiwari, Asst. Prof. Shamir Daniel, Asst. Prof. Nilesh Kumar Singh

Abstract- – Due to its high thermal power and high energy intensity, gas turbines are often used to control planes and aircraft, such as to generate electricity on the ground. To further improve the thermal performance, several previous studies of the internal cooling of the gas turbine blades have been intensively performed, especially under stable conditions. However, the study of the static states ignores the effects of force and covariance forces, which are expected to change the velocity, variation, and temperature distribution under rotational conditions. To clarify the effect of rotation on the internal cooling of gas turbines, detailed results of recent studies are discussed, including, the rotation and buoyancy effects on the rib turbulated cooling, pin fin cooling, jet impingement cooling, dimple/protrusion cooling, latticework cooling as well as swirl cooling. So, the mesh rotation and the reflection effects. In this case, the precipitation became cold. It also outlines recommendations for future research. As such, this review article will present some details on the development of the next generation of indoor cooling for turbine blade assembly work.

Data-Driven Testing: Unlocking Performance Improvements through Big Data Analytics in Banking

Authors- Kinil Doshi

Abstract- – This paper explores the transformative potential of Data-Driven Testing (DDT) and Big Data Analytics in the banking sector, emphasizing their crucial roles in enhancing performance and driving innovation. By harnessing vast data volumes, banks can optimize processes, enhance customer experiences, and bolster compliance with regulatory standards. The article delves into various applications and benefits of these technologies, such as improved decision-making through predictive analytics and increased operational efficiency. Challenges such as data privacy, security, and the need for robust technical infrastructure are also discussed. Through real-world success stories, the paper underscores the effectiveness of data-driven strategies in achieving competitive advantage and anticipates future trends in banking analytics.

DOI: /10.61463/ijset.vol.9.issue2.215

Software Quality Analysis in Edge Computing for Distributed Devops Using ResNet Model

Hemanth Swamy

Abstract- -The phrase “development operations” (DevOps) refers to a more modern trend in which several disciplines work together to speed up and enhance the delivery of IT solutions that provide value to businesses. The advantages of DevOps, such as faster development times, more stable environments, better teamwork, and better communication, are attracting many software companies. Despite the importance of DevOps principles for software firms, the management of these activities has received less attention in the literature. An efficient framework for managing DevOps activities is our study’s overarching goal. In order to find out how to execute DevOps well, we ran an empirical research using the open-source HELENA2 dataset. In addition, we have developed a model for forecasting for DevOps implementation using the RESNET prediction algorithm, which is furthermore compared to machine learning models like SVM, ANN, and RF. Consequently, we determined that checking system log files, automated tests, making sure that automated tests cover a lot of ground, and using a continuous deployment plan are the most typical tasks. Additionally, the Extended Kalman Filter (EKF) is used to assess the quality. This research gives us the green light to keep digging for answers on how to improve quality of software in DevOps environments.

DOI: /10.61463/ijset.vol.9.issue2.193