VOLUME 9 Issue 6

Study Of Domestic Solar Water Heaters With
Different Designs: A Review

Authors – Prashant Khash, Prof. Amit Agrawal

Abstract- – In this review paper, their applications were discussed on the current solar water heating systems. Today, a day is spent on hot water for home, business and industry. Different resources such as coal, diesel, gas, etc. for heating water and sometimes steam production are used. The main alternative to the replacement of conventional energy sources is solar energy. The solar thermal water heating system is the technology to make the most of the free solar thermal energy available. The solar thermal system is designed to satisfy the energy requirements. System size depends on solar radiation availability, customer temperature requirement, geographical conditions and solar system set-up, etc. The solar water heating system according to the above parameters must therefore be designed. To understand construction, design, use and size of the solar thermal system, the available literature is reviewed.

Design of 64-Bit Approximate Multiplier Algorithm Based On Compressors and Dadda Multipliers for VLSI-AI Application

Authors -Research Scholar Praveen Kumar Sonu, Associate Prof. Dr. Anshuj Jain

Abstract- – Various arithmetic operations such as multiplication, addition, and subtraction are important parts of a digital circuit to speed up the computation speed of the processor. This paper presents a 64bit approximate multiplier for high speed and low delay for advanced digital signal processing. Previously, it was designed for 16 and 32bit for various applications. The work focuses on hardware-level approximation by presenting the partial product perforation approach and the dada multiplier for creating approximate multiplication circuits. Xilinx ISE14.7 is used in the implementation.

13-Level Inverter Topology Based on 6-Boosting Factor with Variable Load Condition: A Critical Review

Authors -M. Tech. Scholar Nitish Kumar, Associate Professor Vasant Acharaya

Abstract- – Multilevel inverters (MLIs) have been widely accepted as a potential solution for high-efficiency electric power-electronic conversion systems by both research and industry community. The inherent features of MLIs like reduced dv/dt, high-quality output waveform, lower switching frequency, etc., are the key reasons for the usage of MLIs in a variety of fields including motor drives, renewable energy sources integration, locomotives, to name a few. The basic MLIs are cascaded H-bridge (CHB), neutral point clamped, and flying capacitor inverters. In addition, the inverters inherit various advantages of the original structure, such as a high boost factor of 6, self-balanced capacitor voltages and reduced voltage ripples. Circuit description, operation principle, hybrid PWM modulation and capacitor voltage ripples are analyzed. The capacitor voltages are self-balanced as they are connected in parallel with the input voltage source for several instances in every fundamental cycle. A simple logic gate based pulse-width modulation scheme ensuring power balance among the capacitors is presented. Experimental results obtained from a laboratory prototype are presented for validating the operation and ability of the proposed inverter to boost the input by a factor of six.

Frog Jumping and Sorensen Trust based Wireless Sensor Network Optimization

Authors -Lipi Sharma , Dr.Vivek Richariya

Abstract- – Life of the wireless network depends on device resource uses. As per type of communication medium, routing techniques, device paring implementation of the wireless devices get improved. In some of adhoc networks where devices work temporarily chance of malicious node activity is very high. This work has focus on two things first, it detect such malicious nodes in the network. For malicious node detection Sorensen trust method was used in the work. Second part of this model works to improve the life span of the network. Data packet routing path was optimizing by the frog jumping genetic algorithm. As wireless networks are dynamic in nature hence genetic algorithm gives better route in less time. Experiment was done on different number of node, path and area. Result shows that proposed model has increase the work performance by improving throughput and channel utilization of the work.

Formulation of Media for Lactic Acid Bacteria

Authors – S, Shivalkar Yadav, Rajsekhar P. And Prabha R.

Abstract- – Bacteria are single celled prokaryotes present ubiquitously in nature. Good bacteria are also known as beneficial bacteria, involved in natural or controlled fermentations and some are probiotic in nature enhancing the human gut health. Lactic Acid Bacteria (LAB) that include Lactococcus, Streptococcus thermophilus, Leuconostoc, Lactobacillus bulgaricus, Lactobacillus acidophilus and Bifidobacterium are among the most important groups of microorganisms used in food fermentation. They contribute to the taste and texture of fermented products and inhibit food spoilage bacteria by producing growth inhibiting substances and large amounts of lactic acid. LAB is a group of Gram positive, non-spore forming cocci or rods, catalase negative, produce lactic acid only or other acids or ethanol and gases. . In a mixed lactic culture, enumeration of each group of LABS is difficult as one may predominate on others. These lactic cultures used in fermented milk products require enumeration and sometimes isolation using selective media. M17 agar, ST agar, LUMS, MRS agar and bifidobacteria agar are used for selective enumeration of lactococci, Streptococcus thermophilus, leuconostoc, lactobacilli and bifidobacteria respectively, by serial dilution and anaerobic incubation at optimum growth temperature of the genus 30°C or 37°C. If fermented milk has yeast and aerobic spore formers as contaminants then any of them predominate and isolation of the LAB become difficult. Addition of antimycotic (Nystatin, sodium benzoate) and antisporulating (calcium propionate) agents into the selective lactic acid media may help in controlling the contaminants from LAB.

Efficient Hardware Implementation of Extended Go lay Code for Error Correction Parallel Decoder-DSP Application

Authors – M. Tech. Scholar Shashank Srivastava, Associate Prof. Dr Anshuj Jain

Abstract- – The Channel coding is commonly incorporated to obtain sufficient reception quality in advance wireless mobile communications transceiver to counter channel degradation due to inter-symbol interference, multipath dispersion High speed and high throughput hardware for encoder and decoder could be useful in communication field. Due to the channel achieving property, the GOLAY code has become one of the most favorable error-correcting codes. This paper presents VLSI Implementation of Extended Go lay Code for Error Correcting Parallel Decoder FPGA-DSP Applications, which outperform the existing architectures in terms of speed and throughput. The Simulation is done using the Xilinx ISE 14.7 platform with Ishim test.

A Review on Performance Analysis of Shell and Tube Heat Exchanger: Parametric Study

Authors – M. Tech. Scholar Manu Mishra, Prof. Maneesh Dubey

Abstract- – Heat Exchanger between flowing fluids is one of the most important physical process of concern, and a variety of heat exchangers are used in different types of installation, as in process industries, power plants, food processing, refrigeration, etc. The purpose of constructing a heat exchanger is to get an efficient method of heat transfer from one fluid to another, by direct contact or by indirect contact. In this work a review on performance analysis of shell and tube heat exchanger has been done..

A Review on Design & Thermal Analysis of Double Pipe Heat Exchanger by Changing the Mass Flow Rate

Authors – M. Tech. Scholar Rahul Vishwakarma, Prof. Maneesh Dubey

Abstract- – Whenever one of the fluids experiences a phase shift, the temperature of the other fluid remains unaltered. Condensers and evaporators are two different types of heat exchangers. Heat exchangers featuring convective fluid heat transfer inside tubes are commonly used in a variety of technical applications. Heat transfer improvement strategies to accommodate high heat flux, i.e., to minimize the size and expense of heat exchangers, has gotten a lot of attention in recent years. Heat transfer improvement the rate of all sorts of thermos-technical apparatus is extremely important to the industry. It results in reduced in size and weight in addition to conserving basic energy. Many heat transfer improvement techniques have been developed up to this point. Twisted-tape is among the most essential members of an improvement techniques used in heat exchangers.

Design & Development of a Solar Pond
and CFD Modeling

Authors – M. Tech. Scholar Ravil Khateek, Prof. Maneesh Dubey

Abstract- -A solar pond is indeed a solar energy collector which resembles a pond and is often rather large in size. A form of solar energy collector are using a huge, saline lake as a flat plate collector, absorbing and stores solar energy in the pond’s warm, bottom layers. Those pond images are fascinating. Solar ponds can be natural or man-made, although most of the ones in use today are artificial.

Survey Paper of Prediction of Diabetes using Machine Learning Algorithm for FPGA Application

Authors – M.Tech. Scholar Abhinav Sharma, Prof. Satyarth Tiwari, Prof. Suresh. S. Gawande

Abstract- – In today’s world, one of the major threats to human health is Diabetes Mellitus (DM). Diabetes is a metabolic disease where a person suffers from increased sugar level, is because of either the pancreas does not produce sufficient insulin for the body or the cells do not respond to the insulin. The persistent diabetes leads to malfunction, injury and failure of different organs such as kidneys, eyes, nerves, blood vessels and heart. In this research, the main objective is to classify the data as diabetic or non-diabetic and improve the classification accuracy. It presents an automatic prediction system for diabetes mellitus through machine learning techniques by taking into account of several limitations of traditional classifiers and provide a great relationship between patient’s symptoms with diabetes diseases and the blood sugar rate. Machine learning provides a reliable and excellent support for prediction of a DM with correct case of training and testing. Diagnosis of diabetes mellitus desires great support of machine learning classifiers to detect diabetes disease in early stage, since it cannot be cured which brings great complication to our health system.

Thermal Performance of Shell and Tube Heat Exchanger: A Review

Authors – Pankaj Goyal, Prof. Amit Agrawal

Abstract- – The Heat exchanger is significant component to the extent heat exchange and energy preservation is concern. There are such a significant number of kinds of heat exchangers accessible yet because of extensive variety of structure potential outcomes, basic assembling, low upkeep cost, cross stream and counter stream heat exchanger broadly utilized in petroleum, petrochemical, cooling, food storage and different enterprises. This study gives an audit about significant work done on structure of Baffle plates and its distinctive introductions to enhance generally performance of shell and tube heat exchanger. Main considerations which influence workings of shell and cylinder heat exchanger are appeared in this study and furthermore examinations between various introductions have appeared. The thermal measuring of multi tube pass shell and cylinder Heat Exchanger his required with the bell technique and for the equivalent the mathematical Examination have been completed dependent on the recommended pressure drop criteria. The investigation of shell and cylinder Heat Exchanger and performance of assessment is directly settled strategy utilized in power plant industry.

Survey Paper of Prediction of Diabetes using Machine Learning Algorithm for FPGA Application

Authors – M. Tech. Scholar Abhinav Sharma, Prof. Satyarth Tiwari, Prof. Suresh. S. Gawande

Abstract- – In today’s world, one of the major threats to human health is Diabetes Mellitus (DM). Diabetes is a metabolic disease where a person suffers from increased sugar level, is because of either the pancreas does not produce sufficient insulin for the body or the cells do not respond to the insulin. The persistent diabetes leads to malfunction, injury and failure of different organs such as kidneys, eyes, nerves, blood vessels and heart. In this research, the main objective is to classify the data as diabetic or non-diabetic and improve the classification accuracy. It presents an automatic prediction system for diabetes mellitus through machine learning techniques by taking into account of several limitations of traditional classifiers and provide a great relationship between patient’s symptoms with diabetes diseases and the blood sugar rate. Machine learning provides a reliable and excellent support for prediction of a DM with correct case of training and testing. Diagnosis of diabetes mellitus desires great support of machine learning classifiers to detect diabetes disease in early stage, since it cannot be cured which brings great complication to our health system.

Survey Paper of Prediction of Diabetes using Machine Learning Algorithm for FPGA Application

Authors -M. Tech. Scholar Abhinav Sharma, Prof. Satyarth Tiwari, Prof. Suresh. S. Gawande

Abstract- – In today’s world, one of the major threats to human health is Diabetes Mellitus (DM). Diabetes is a metabolic disease where a person suffers from increased sugar level, is because of either the pancreas does not produce sufficient insulin for the body or the cells do not respond to the insulin. The persistent diabetes leads to malfunction, injury and failure of different organs such as kidneys, eyes, nerves, blood vessels and heart. In this research, the main objective is to classify the data as diabetic or non-diabetic and improve the classification accuracy. It presents an automatic prediction system for diabetes mellitus through machine learning techniques by taking into account of several limitations of traditional classifiers and provide a great relationship between patient’s symptoms with diabetes diseases and the blood sugar rate. Machine learning provides a reliable and excellent support for prediction of a DM with correct case of training and testing. Diagnosis of diabetes mellitus desires great support of machine learning classifiers to detect diabetes disease in early stage, since it cannot be cured which brings great complication to our health system.

Use of Tuned Mass Damper for Vibration Control of Casing Construction under Seismic Excitation

Authors – Bandila. Chandra Sekhar, Asst. Prof. P. Hanuma

Abstract- – Latest things in development industry requests taller and lighter constructions, which are additionally more adaptable and having very low damping esteem. This builds disappointment prospects and furthermore issues according to functionality perspective. Presently a-days a few strategies are accessible to limit the vibration of the design, out of the few methods accessible for vibration control ,idea of utilizing TMD is a more current one. This review was made to concentrate on the viability of utilizing TMD for controlling vibration of design. At initial a mathematical calculation was created to examine the reaction of a shear building fitted with a TMD. Then, at that point, one more mathematical calculation was created to examine the reaction of a 2D edge model fitted with a TMD. An aggregate of three stacking conditions were applied at the foundation of the construction. Initial one was a sinusoidal stacking, the subsequent one was relating to viable time history according to spectra of IS-1894 (Part – 1):2002 for 5% damping at rough soil with (PGA = 1g) and the third one was 1940 El Centro Earthquake record with (PGA = 0.313g). From the review it was tracked down that, TMD can be viably utilized for vibration control of designs. TMD was more viable while damping proportion of the construction is less. Step by step expanding the mass proportion of the TMD brings about slow decrement in the removal reaction of the design.

Experimental Investigation on Bacterial
Concrete with SCM

Authors – G. Sree Sai Teja, Asst. Prof. D. Jayakrishna

Abstract- – Concrete, a solid, sturdy material made out of concrete, total and water, is the most utilized structure material on the planet. Concrete has an extreme burden bearing limit under pressure yet the material is frail in strain. That is the reason steel bars are inserted in the substantial for the constructions to convey malleable burdens. The steel built up bars take the heap when the substantial breaks in strain. On other hand the substantial shields the steel built up bars from the climate and forestalls consumption. In any case, the breaks in the substantial structure a significant issue which influences the strength of the designs. Here the entrance of water and chloride particles happens and crumbling of the construction begins with the consumption of the steel. To expand the strength and sturdiness of the construction either the breaks that are shaped ought to be fixed customarily utilizing epoxy infusion or latex treatment or by giving additional support in the construction during the plan stage to guarantee that the break width stays inside an admissible cutoff. This additional support is just required for toughness motivations (to keep the break width little) and not really for primary limit. Particularly with current steel costs on ascent giving additional steel isn’t monetarily reasonable. Fundamental motivation to forestall breaks or cutoff break width is to improve the sturdiness of the construction. On the off chance that somehow or another a solid technique could be fostered that fixes breaks in concrete naturally (self mending), this would increment and guarantee sturdiness of the design immensely. Then again it would likewise set aside a great deal of cash, time and energy. Examinations have shown that the microorganisms Bacillus pasturii can be utilized for working on the obstruction of cement to antacid or sulfate assault, drying shrinkage and so forth, which will expand the strength and toughness of cement. Be that as it may, very little examination is accounted for in India for delivering bacterial substantial utilizing Bacillus subtilis. Keeping this in view, the present exploratory examinations are taken up to concentrate on the strength qualities in common grade concrete and standard grade of cement with and without expansion of microscopic organisms Bacillus subtilis JC3. The use of fly debris in concrete as incomplete substitution of concrete is acquiring colossal significance, mostly because of the enhancements in the drawn out sturdiness of cement joined with natural advantages. Innovative upgrades in nuclear energy station tasks and fly debris assortment frameworks have brought about working on the consistency of fly debris. To concentrate on the impact of fractional substitution of concrete by fly debris, studies have been directed on substantial blends by supplanting concrete substance by 10%, 20% and 30% with fly debris. In this examination the impact of fly debris on compressive strength, split elasticity and flexural strength are considered.

The Effect of Scale on the Phenomenon of Classical Hydraulic Jump in Open Channels

Authors – Lee Pashouros, Roshan P De Silva

Abstract- – This study looked at the validity of accepted theories in relation to the classical hydraulic jump phenomenon when carried out at small scale. The investigations were performed using two small flumes and a total of 87 sets of data were recorded which included the depths of flow, energy loss and length of the hydraulic jump which were compared with the calculated values obtainable from the accepted theories which are used in real world situations with success. As seen from the results, calculated parameters agree quite well with measured counterparts of the same parameters, except possibly for the length of the hydraulic jump, which is possibly due to the empirical nature of the equations used for calculating the length of the jump and also due to the difficulty in identifying the jump precisely in an experimental setting due to the high turbulence and varying nature of the start and end of the jump in a flume. Though the results tend to agree more for the bigger of the two flumes better, it is concluded that with the scale that was used in the experiment, the effect of it on the phenomenon of hydraulic jump is very likely negligible.

Fish Schooling and Sorensen Trust Based
Wireless Sensor Network Optimization

Authors – Adil Hussain Mohammed

Abstract- – Computing services are developing rapidly, so adhoc networks and wireless networks grow in general. However, there are still security concerns when it comes to wireless sensor networks due to its vulnerability to numerous attacks. In this paper a detail list of various attacks were explained. Paper has summarized techniques adopt by the scholars to prevent or detect such attacks in the network. This paper has proposed a fish schooling genetic algorithm for packet routing. Routing path reduces spectrum waste and increases the life span of the network as well. Further to detect some of node present in the network that perform malicious activity Sorensen function was adopt. Based on the node activity Sorensen trust value was estimate in fix life span interval (sessions). Experimental work was done on different set of nodes, network size and paths. Result shows that proposed Fish Schooling Sorensen Trust Network Optimization (FSSTNO) model is better as compared to other existing algorithms.

Automatic Medicine Pill Dispenser for Covid-19 Patients Using IOT

Authors – Sayali Gaikwad,Gauri Kamble, Mangal Rahinj, Preeti Umbarkar, Prof. Sujata Girawale

Abstract- – The Medicine Dispenser is a machine which dispenses the medicine based on the authentication of the user by using the user name and the password given to the user by the administrator of the machine. This machine will dispense medicine according to the user prescription provided by the user’s doctor and also the number of medicine is also determined by the user’s choice. In this medicine dispenser the money is handled through the digital points stored in the user’s card which is given by the administrator and also user can restore the points by taking to the administrator of the card and use his identification to add the digital points to the card. The main goal of the dispensing machine is to provide the medicine to the users 27/7 so it can help the village people Who are for away from the hospital or the clinic to buy the medicine and also it can be installed like a ATM machine so it is easy to use by the people even though if they cannot read and write. The medicine can be replaced by the admistrater of the machine by time to time based on the expiration date or is it is empty the machine will alarm the administrator to refill the machine through SMS or telecom messenger.

Power Quality Improvement in a Grid Connected
Hybrid Energy Generation System Using UPFC

Authors – Research Scholar Yamunadhari Kumar, Prof. Mamta Sood, Dr. Manju Gupta, Dr. Anuprita Mishra

Abstract- – Energy production and transmission have had to increase ruthlessly in recent years due to resource and environmental constraints, while demand for electric power has surged significantly. As a result of several transmission lines being substantially loaded, power system stability became a limiting factor in electric power transmission. It’s vital to keep the electrical grid safe and stable, thus it’s not a simple assignment. The FACTs devices are used to manage power and attenuate oscillations. This study explains how to use MATLAB Simulink to benefit from the modified particle swarm optimization (PSO) approach to better stabilize MPPT with UPFC by employing the PI-C and MATLAB Simulink parameters that build optimal proportional integral controllers. When a power system failure occurs, the UPFC investigates by emulating the power system’s operating characteristics using the two recommended approaches. When compared to existing techniques, the proposed PSO technically improves the system’s reactivity and reduces the amount of undershoot and overshoot in transitions. The results suggest that using this strategy significantly enhanced the simulation model’s transient stability.

Experimental Investigation on Concrete with the Presence of Silica Fume and Steel Slag

Authors -Seelamsetti. Surendra Kumar, Asst. Prof. A.Raheem Basha

Abstract- – Concrete is the most adaptable development material since it tends to be intended to withstand the cruelest conditions while taking on the most moving structures. Engineers are consistently stretching the boundaries to work on its exhibition with the assistance of creative synthetic admixtures and advantageous cementitious materials. These days, most substantial combination contains strengthening cementitious material which structures part of the cementitious part. These materials are greater part results from different cycles. The primary advantages of SCMs are their capacity to supplant specific measure of concrete and still ready to show cementitious property, consequently lessening the expense of utilizing Portland concrete. The quick development in instralisation has brought about tons and huge loads of result or waste materials, which can be utilized as SCMs like fly debris, silica seethe, ground granulated impact heater slag, steel slag and so forth The utilization of these results assists with using these waste materials as well as improves the properties of cement in new and hydrated states. Slag concrete and fly debris are the two most normal SCMs utilized in concrete. Most concrete created today incorporates either of these materials. Hence their properties are regularly contrasted with one another by blend fashioners looking to upgrade substantial combinations. Maybe the best SCM is silica rage since it works on both strength and toughness of cement to such degree that advanced plan rules require the expansion of silica seethe for plan of high strength concrete. To plan high strength substantial great quality totals is additionally required. Steel slag is a modern result got from the steel fabricating industry. This can be utilized as total in concrete. It is presently utilized as total in hot blend black-top surface applications, however there is a requirement for some extra work to decide the achievability of using this modern result all the more astutely as a substitution for both fine and coarse totals in an ordinary substantial combination. Supplanting all or some piece of regular totals with steel slag would prompt impressive ecological advantages. Steel slag total for the most part display an inclination to extend as a result of the presence of free lime and magnesium oxides consequently steel slag totals are not utilized in substantial making. Legitimate enduring treatment and utilization of pozzolanic materials like silica seethe with steel slag is accounted for to diminish the extension of the substantial. Nonetheless, this large number of materials have specific shortages yet an appropriate mix of them can remunerate each other’s disadvantages which might bring about a decent lattice item with upgrade generally quality.In the current work a progression of tests were done to make relative investigations of different mechanical properties of substantial blends ready by utilizing ACC brand Slag concrete , Fly debris concrete and their mix (in 1:1 extent ). These folio blends are adjusted by 10% and 20% of silica seethe in substitution. The fine total utilized is regular sand consent to zone II according to IS 383-1982.The coarse total utilized is steel making slag of 20 mm down size. The fixings are blended in 1: 1.5: 3.

Reliability of Steel Structures

Authors – Rekha. Ashok, Asst. Prof. G. Sivaiah

Abstract- – Bridges are by and large used to cross a stream or a waterway. Which are utilized for various purposes, for example, on the off chance that it is utilized to cross cycles and creatures, then, at that point, it is called as foot spans. Assuming that it utilized for parkway traffic then it is called Highway Bridge, or then again in case it is utilized to convey railroad stacking then it is called Railway Bridge, Over the over all scaffolds the expense of rail line span is more than different extensions. The issue of proficiently planning primary framework includes unwavering quality limitations forced at both functionality and extreme cutoff state. Techniques are created utilizing primary dependability rule to assess time subordinate unwavering quality of construction. These techniques empower the effect on security and workableness of vulnerabilities in stacking conditions, primary corruption because of forceful climate to be surveyed subjectively. The forecast of administration life of harmed or decayed steel structures stays at the phase of parametric examinations, in spite of escalated research on consumption in steel structures for the beyond thirty years. Administration life of steel structures is restricted by the helplessness of the part to erosion. Oxidation of iron prompts the plan of different items (like ferrous and ferric oxides), some of which involve a lot more prominent volume than the first iron that gets devoured by the erosion cycle. At this stage the part loses its capacity to oppose the powers. The venture is a review on dependability of the Railway Bridge Truss changes with decline in region because of consumption and how unwavering quality shifts if steel strength is beneath than real (or) its solidarity decreased because of erosion. The strain individuals are dissected for the plan strength because of yielding of gross area and pressure individuals are examined for the plan strength. The breaking point state conditions are taken from the provision 6.2 and 7.1.2 of IS 800:2007. The dependability examination is finished the Railway span support of length 39.0mReliability of bracket individuals explored for various mixes utilizing Hasofer – Lind procedure and MATLAB programming. Framework dependability was blamed considering different levels for decrease in region and the variety of framework unwavering quality was calculated. Corrosion initiated primary disappointment don’t really suggest underlying breakdown yet much of the time are showed by loss of underlying soundness, described by substantial breaking and the inordinate avoidance. Support consumption of steel area is the dominating element in the untimely debasement of steel structures, prompting extreme primary disappointment. Disappointment doesn’t really infer primary breakdown however much of the time is showed by loss of structural serviceability.

Analysis and Design of Structures
Subjected to Blast Loads

Authors – P. Saiteja, Asst. Prof. B. Vijaya Sekhar

Abstract- – Presently in the field of structural designing the prerequisite in regards to information impact loads are fundamental. Each country on the planet are having fear based oppressor dangers. As the situation of psychological militant assaults are erratic neither area nor impact material utilized. This gives a blueprint to examination and configuration to oppose impact loads. We have taken a model to illustrate assessment of impact boundaries which are utilized in the investigation. The examination and plan of constructions to oppose impact/dangerous burdens is having most extreme significance contrasted with the customary kind of designs where Loading is really autonomous of time variety. From recent many years psychological militant assaults are turning into another danger to individuals lives material utilized, its amount, distance from structure and so forth Since we don’t have the foggiest idea when the impacting action will be occurred and sort of charge material is utilized, relies upon significance of construction we need to ensure the plan of design ought to be to such an extent that it should oppose the disappointment against impacting exercises and to property moreover. The measure of harm caused to structure is relies on kind of charge. Impact stacks, its commitment to structures and other required arrangements are selected from TECHNICAL MANUAL 5-1300 and IS 4991-1968.The plan technique utilized is EQUIVALENT STATIC APPROACH. Investigation of edges of design is finished with programming bundle.

Experimental Investigation on Cement Mortar
with Presence of Bacteria

Authors – Varugu. Kalpana, Asst. Prof. T. Kavitha

Abstract- – In the current situation where the developments are expanding, the need to find a valuable establishing material for the improvement of solidarity and which has less ecological impacts is of extraordinary importance. Ureolytic microscopic organisms are the ones which can work on the strength of concrete mortar by the precipitation of calcium carbonate within the sight of urea and a calcium source. In the current review Bacillus sphaericus is utilized to actually take a look at its appropriateness in such manner. Different tests like consistency and starting setting time are done to discover the impact of bacterial arrangement on concrete. Tests like pressure strength and sorptivity test are utilized in the current review to recognize the variety in the mechanical properties of concrete mortar. To know the mineralogy and morphology of the calcium carbonate encouraged by the microbes XRD and FESEM examination are done. Compressive strength (at 7-day and at 28-day) of mortar 3D shape viewed as expanding with the increment of microorganisms fixation up to 107 cells/ml The ideal portions of microscopic organisms found to build the normal compressive strength by 58% (at 7-day) and 23% (at 28-day) over the control example. The more expansion in strength following multi day relieving might be because of the presence of supplement medium and it getting exhausted as it arrives at 28 days and causing passing of microorganisms The base combined water ingestion is gotten for a cell convergence of 109 cells/ml The mineralogy and morphology of the calcium carbonate encouraged by the microscopic organisms test had the option to affirm that the bacterially hastened calcium carbonate is calcite and is having lamellar rhombohedra or hexagon shape.

Improvement of Strength for RC Indeterminate Beam with Application of FRP

Authors – Thota Muralidhar, Asst. Prof. K. Deepthi

Abstract- – Fortifying designs through outer holding of cutting edge fiber supported polymer (FRP) composite is ending up being extraordinarily notable worldwide in the midst of the earlier decade because it gives a more pragmatic and truth be told preferable choice over the traditional methodology a significant part of the time as it offers better strength, great weakness opposition, low weight, consumption obstruction, simple and quick establishment alongside negligible change in math of the construction. Albeit numerous in-situ RC radiates are persistent in development, there has been a restricted exploration in the space of FRP fortifying of consistent shafts. In the current review, an exploratory examination is done to concentrate on the conduct of ceaseless RC radiates under static stacking. The shafts are fortified with remotely fortified glass fiber built up polymer (GFRP) sheets and furthermore with un-reinforced GFRP utilizing steel bolt framework. Diverse plan of fortifying have been utilized. The investigation comprises of six constant (two-range) radiates with in general aspects equivalent to (150×250×2300) mm. Every one of the pillars will have comparable longitudinal and cross over steel support. One bar was not reinforced and was considered as a control shaft, while any remaining bars were fortified in different examples with remotely fortified GFRP sheets and unbonded GFRP with end port utilizing the steel bolt framework. The current review looks at the reactions of RC consistent bars, as far as disappointment modes, upgrade of burden limit and burden diversion investigation. The outcomes demonstrate that the shear strength of RC bars can be altogether expanded by sticking GFRP sheets to the shear face. Furthermore, the un-reinforced sheets with end mooring likewise worked on the breaking conduct of the shafts by deferring the development of apparent breaks and lessening break widths at higher burden levels.

Analysis and Implementation of an ECG Based Biometric authentication mechanism for body area network

Authors – M.Tech. Scholar Nishant Agrawal, Asst. Prof. Mukta Sahu, Asst. Prof.Deepak Sharma

Abstract- – The increasing use of wireless networks and the constant miniaturization of electrical invasive/non-invasive devices have empowered the development of Wireless Body Area Networks (WBANs). Wireless Body area networks (WBANs) constitute an active field of research and development as it offers the potential of great improvement in the delivery and monitoring of healthcare The RBS is generated from the inter-pulse interval (IPI) extracted from the ECG waveform. The computation parameters considered are the entropy and the hamming distance. The performance evaluation parameters for the proposed technique are the entropy and the hamming distance.

Elaboration and characterization of bioplastic films based on bitter cassava starch (Manihot esculenta) reinforced by chitosan extracted from crab (Shylla seratta) shells

Authors – Research Scholar Julie Tantely Mitantsoa, Pr. Pierre Hervé Ravelonandro, Research Scholar. Fara Arimalala And rianony, Dr. Rajaona Rafihavanana And rianaivoravelona

Abstract- – Bioplastics are polymer plastics which are derived from renewable biomass resources. In this study, bioplastic films based on two different polysaccharides such as bitter cassava starch and chitosan extracted from crab shells were produced by casting technique, using glycerol as plasticizer. The purposes of this research are to characterize and to figure out the effect of additional chitosan concentrations (0; 10; 20; 30; 50% by weight of starch) on the physicochemical, mechanical and water barrier properties of bioplastic films. The film’s solubility in water (S), water absorption capacity (WAP), water vapor permeability (WVP), tensile strength (TS), elongation at break (E), Young’s modulus (YM) and biodegradability were investigated. The possible interactions between starch and chitosan molecules were evaluated by Fourier transform infrared spectroscopy (FTIR). From the analysis, the incorporation of the chitosan shows improved results on the water barrier properties of the bioplastic films. Optimum solubility in water, water absorption capacity, and water vapor permeability are obtained on the composition of starch/chitosan was 50/50. Actually, the addition of chitosan increased tensile strength, and elongation at break. The characterization of optimum mechanical proprieties also occurred on the 50/50 composition of cassava-starch and chitosan. At this ratio, tensile strength obtained were 6,3000 MPa; and the elongation at break were 62,8571%. It was found that cassava-starch/chitosan-based films have a stable structure compared to native cassava-starch films.

Heat Exchanger Performances Comparison Using Two Variance ANOVA Method

Authors – M. Tech. Scholar Kamlesh Ravat, Asst. Prof. Saumitra Kumar Sharma

Abstract- – Helically coiled heat exchangers are used in order to obtain a large heat transfer area per unit volume and to enhance the heat transfer coefficient on the inside surface. The enhancement in heat transfer due to helical coils has been reported by many researchers by experimental setups for the estimation of the heat transfer characteristics. In this thesis the experimental results are compared with the calculation results using the software package CATIA used by the many researchers. Further a computational study has been accomplished to determine the effects of heat transfer in the helical coiled heat exchanger by considering the parameters like pitch length of helical coil and mass flow rate of fluids in helical coil heat exchanger. It is concluded that the analysis results fairly matches with the Experimental Results. A comparison with experimental results and simulations has proved that by decreasing the pitch length of helical coil and relative velocity of fluids in helical coil heat exchanger, increases heat transfer rate.

My Notes

Authors – Shailaja Trivedi,Dhaivat Trivedi,Saurabh Rajpurohit,Asst. Prof. Ms. Dhwani Dave

Abstract- – Due to the novel disease corona virus, most of the school, colleges preferred taking classes online. While studying through online platforms sometimes you want to note some important points from that video lecture or online class but you are unable to do so because either your writing / typing speed is slow or you need to pause the video more often. Sometimes the focus is more on note making and you are not able to pay attention to the video class.Then you can use the MY NOTES web application. On opening the Web application you need to click the start button, after that the application will take the screenshot manually from the video and then will extract the text from it converting them into the proper notes. Once the notes are made it will destroy the screenshot taken earlier before extraction. The notes will be saved on the local storage. This web application allows users to make long notes easily with just one click. My Notes make the note making process much easier.

A Review of Six Sigma Implementation in Small Scale Foundry

Authors – M.Tech Scholar Shubham Verma, Asst. Prof. Vivek Singh, Prof. Rajesh Rathore, Asst. Prof. Virendra Dashore

Abstract- – Industrial products were manufactured using the casting technique. A few years later, it was used to manufacture weapons and tools using metals such as copper as raw materials. After then, casting was used to create goods with a variety of forms and sizes, as well as various materials such as cast iron and ductile iron. Casting production is important around manufacturing because of its many advantages and requirements. The incidence of casting flaws has a financial impact on the casting business. As a result, fault incidences should be minimized and casting quality should be increased, which may be accomplished via the employment of methods such as six-sigma and quality tools. In this paper, the author reviews previous published papers and identifies areas where the industry needs to work. This paper focuses on the general overview of publication and the case industry. It also discusses the various tools and techniques used by the company, as well as the benefits gained by using DMAIC methodology.

BIM-based Sustainability Analysis of Small-Scale New Construction in Florida Climatic Zones: Tallahassee, FL and Miami, FL

Authors -Siera Sylvester, Dr. Clayton J. Clark II

Abstract- – During recent years, Green building information modelling technology is currently gaining substantial attention in the sustainable engineering sector since a rapidly changing climate has made traditional design methods, time-consuming and inefficient processes. Reducing excess material waste, construction improvement, and promotion of urban sustainability are three main advantages of Building Information Modelling technology development, which intersects with the residential building sector, using approximately 21% of total operational energy in the United States. Previously, studies evaluated data interoperability between Building Information Modelling technology and environmental impact assessment software, while simultaneously investigating sustainability analysis capabilities. Linking proposed parametric models to building performance analysis tools allows for energy utilization evaluation, aiding critical sustainable construction decision-making processes during the conceptual design phase. However, gaps in current research emphasize the need for green design sustainability analyses conducted on multi-family residential buildings prior to construction in Florida. This study focuses on small-scale new construction energy analysis amalgamated during the sustainable design phase, for humid subtropical and tropical monsoon, two climatic regions in Florida.A sustainability analysis highlighting the benefits of a common building information modelling method was utilized to assess the impact of lighting efficiency, glazing, and window-wall ratio on thermal energy efficiency. Autodesk Revit and Green Building Studio software, interoperable tools developed to aid in building performance analysis, displayed results showing that lighting efficiency improvement decreases annual energy demand, directly lowering annual energy costs and carbon emissions significantly. It was observed that heating energy consumption was negatively affected by an increased window to wall ratio, which could be attributed to the model’s building orientation. Proper window glazing, a factor that literature describes as critical for successful Window to Wall Ratio implementation, should be utilized as an alternative design option, specifically low-E hot climate glazing for the Southeastern U.S. region. Further research considering total life cycle energy consumption i.e. material manufacturing process and transportation will be a next step in sustainable building investigation.

Moth Flame Based Feature Selection for Ransom Ware Detection Training Model

Authors – M.Tech. Scholar Rakesh Jha, Asst. Prof. Sumit Sharma

Abstract- – Technology increases the comfort and dependency for many of daily work. Cloud services taken by different organization to control, monitor various activities. As people gathering attracts different attacks that can harm service, product, data, etc. So protection from such kind of attacks needs to be done. This paper has developed a ransom ware detection model that can provide alarm the network when it detects such kind of pattern by trained neural network. In this work detection features were reduced by moth flame optimization genetic algorithm. Selected features were further processed to get training dataset for neural network learning. Paper has used error back propagation neural network. Testing and training was done on real ransom ware dataset. Result shows that Moth Flam Optimization Ransom ware Detection (MFORD) has increase true false alarm and reduces false alarm.

A Glaucoma Detection using Deep Learning Technique

Authors – PG Scholar Madhup Pandey, Asst. Prof. Dilip Singh Solanki

Abstract- – Glaucoma is a disease that relates to the vision of human eye. This disease is considered as the irreversible disease that results into the vision deterioration. Many deep learning (DL) models have been developed for the proper detection of glaucoma so far. SO here we have presented an architecture for the proper glaucoma detection based on the deep learning with making use of the convolutional neural network (CNN). The differentiation between the patterns formed for the glaucoma and the non glaucoma can be finding out with the use of the CNN. The CNN provides a hierarchical structure of the images for differentiation. Proposed work can be evaluated with total six layers. Here we also used the dropout mechanism for the effective performance in the glaucoma detection. The datasets used for the experiments are the SCES and the ORIGA. The experiment is performed for both the dataset and the obtained values are .822 and .882 for the ORIGA and SCES dataset respectively.

Performance of Power Quality Improvement of Hybrid Energy inGrid Connected System

Authors – Research Scholar Sweta Kumari, Prof. Dr. Manju Gupta, Asst.Prof. Mamta Sood, Prof. Dr.Anuprita Mishra

Abstract- – This Paper proposes an Artificial Neural Network (ANN) controller based MPPT controller and Dynamic Voltage Restorer (DVR) utilization to improve the performance of a stand-alone hybrid renewable energy system. The renewable energy system consists of three renewable energy sources, namely, solar PV cells, battery system and fuel cells. These three sources are tied to a common DC link by three boost converters, one for each source. The common DC link is connected to the AC side via a DC/AC inverter. The optimal size of the three proposed renewable sources is calculated using the MATLAB Software. The DVR control is attained through regulating the load voltage at different anomalous working conditions. These conditions are three-phase fault, voltage sag/swell, and unbalanced loading to control DVR by regulating the D-Q axes voltage signals. The input/output data used for training ANNs are obtained by two optimized PI controllers, introduced for regulating the load voltage through DVR pulses at different abnormal operating conditions, and accordingly convert the static optimized PI controller into adaptive one based ANN. The system performance with the proposed ANN-DVR controller is enhanced through improving the current, voltage, and power waveforms of each generating source. With compensation of the faulty line voltage, the system retains an uninterrupted operation of the three renewable sources during fault events and the total harmonic distortion is reduced.

A Review of Intrusion Detection Systems

Authors – Jyoti Ahirwar , Dr. Mukesh Yadav

Abstract- – An intrusion detection system (IDS) is devices or software’s that are used to monitors networks for any unpleasant actions that disrupt the usual operation of systems consequently producing any policy violation. This article analyses some of the intrusion detection systems and software’s emphasising their primary classes and their performance evaluations and measure.

A Review Study Of Domestic Solar Water Heaters With Several Designs

Authors – Konark Tripathi, Asst.Prof.Deepak Solanki

Abstract- – Their uses on existing solar water heating systems were addressed in this review article. A day is now spent providing hot water to homes, businesses, and industries. For heating water and occasionally steam generation, various resources such as coal, diesel, gas, and so on are utilized. Solar energy is the most common option to replacing traditional energy sources. The solar thermal water heating system is a technique that uses the sun’s free thermal energy to heat water. The solar thermal system is intended to meet the energy needs. The size of the system is determined by solar radiation availability, client temperature requirements, geographical circumstances, and solar system configuration, among other factors. As a result, the solar water heating system must be built using the aforementioned criteria. The available literature is examined in order to comprehend the solar thermal system’s construction, design, usage, and size.

Power Quality Improvement for Hybrid Energy Generation System Based On UPFC and PSO

Authors – Research Scholar Renu Kesharwani, Asst.Prof. Parikshit Bajpai

Abstract- – Energy production and transmission have had to increase ruthlessly in recent years due to resource and environmental constraints, while demand for electric power has surged significantly. As a result of several transmission lines being substantially loaded, power system stability became a limiting factor in electric power transmission. It’s vital to keep the electrical grid safe and stable, thus it’s not a simple assignment. The FACTs devices are used to manage power and attenuate oscillations. This study explains how to use Matlab Simulink to benefit from the modified particle swarm optimization (PSO) approach to better stabilize MPPT with UPFC by employing the PI-C and MATLAB Simulink parameters that build optimal proportional integral controllers. When a power system failure occurs, the UPFC investigates by emulating the power system’s operating characteristics using the two recommended approaches. When compared to existing techniques, the proposed PSO technicality improves the system’s reactivity and reduces the amount of undershoot and overshoot in transitions. The results suggest that using this strategy significantly enhanced the simulation model’s transient stability.

CFD Investigation of Heat Transfer and Fluid Flow through a Rectangular Channel Having Turbulators

Authors – Sanjeev Kumar, Dharmendra Rathore

Abstract- – Several types of turbulators elements were used extensively to improve the heat transfer characteristics. The roughness elements of two dimensions, three dimensions and of irregular shapes were used by various investigators. This paper presents the study of heat transfer in a rectangular channel by using Computational Fluid Dynamics (CFD). The effect of Reynolds number on Nusselt number is investigated. A commercial finite volume package ANSYS FLUENT is used to analyze and visualize the nature of the flow across the duct of a solar air heater. CFD simulation results are found to be in good agreement with experimental results. It has been found that the Nusselt number increases with increase in Reynolds number.

Reaction Kinetics of Various Oxygen Carriers in Chemical Looping Combustion Using Methane as Fuel

Authors -Research Scholar RatnaKumar V. Kappagantula, Lecturer Gordon D. Ingram, Associate Prof. Hari B. Vuthaluru

Abstract- – Chemical Looping Combustion is the latest technology with a distinct benefit from carbon dioxide’s inherent separation from Nitrogen. This separation is not possible in conventional fossil fuel-fired boilers, which requires higher energy demand. HSC Chemistry software V 10.0 is used to evaluate the thermodynamic data. The obtained thermodynamic data is validated with published literature for log (K) and 1/T values. The sum of the heat of the Fuel Reactor and the Air Reactor reactions is the same as the heat generated from fuel combustion in a conventional boiler. The Reduction in the Fuel Reactor is endothermic except for all Copper-based and a few Manganese-based redox pairs. Reactivity data for various types of Oxygen Carrier pairs with methane are presented and discussed for use in a Fuel Reactor of Chemical Looping system. The minimum theoretical temperature required for different Oxygen Carrier to be reduced by methane is analyzed. The activation energy for sixteen redox pairs is investigated and categorized from higher to lower activation energy. The Copper-based Oxygen Carrier requires less activation energy compared to other redox pairs. The Oxygen Carrier particles are categorized based on their ability to transfer Oxygen and the maximum extent of conversion. A pair of Manganese and Iron have higher Oxygen transport capacities. The sum of heat of reactions to the difference in mass of reduced and oxidized Oxygen Carrier is constant. The cost of the metal for Oxygen Carrier is analyzed, and iron ore and Manganese are the economical options. The advantages and disadvantages of selected Oxygen Carriers are presented.

Heart Disease Prediction Using Naive Bayes Classifier

Authors – Sudhanshu Memane , Akash Patel , Anjal Patel , Omkar Dive , Prof. Uzma Sheikh

Abstract- – In healthcare world for providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. In this study, a Heart Disease Prediction System (HDPS) is developed using Naive Bayes algorithm for predicting the risk level of heart disease. The system uses 14 medical parameters such as age, sex, blood pressure, cholesterol, and obesity for prediction. The HDPS predicts the likelihood of patients getting heart disease. E.g., Relationships between medical factors related to heart disease and patterns, to be established. The obtained results have illustrated that the designed diagnostic system can effectively predict the risk level of heart diseases.

Smart Mirror

Authors – Prof. Harshalata Mahajan, Mr. Ashish Shetty, Mr. Dnyaneshwar Shinde, Ms. Jayshree Kannurkar

Abstract- – The paper describes the design, construction and working of the smart mirror. Every morning our day begins by watching ourselves at least once in mirror before leaving our homes. We interact with it psychologically to find out how we look and how our attire is. Smart Mirror or Magic Mirror is one of the applications of Raspberry Pie. A computer screen embedded in mirror looks very futuristic. The Raspberry Pie stays at back scenes and controls the data displayed on mirror. While looking at mirror you can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as AI and control home appliances by voice input or touch screen. The Raspberry Pie is connected to monitor via HDMI as well as it also has inbuilt Wi-Fi and Bluetooth interfaces so we can just swipe music and videos to mirror.

A Review on Numerical Analysis of Flow and Heat Transfer Enhancement in a Pipe with Twisted Tape

Authors – M. Tech. Scholar Kanhaiya Kumar, Prof. Neetesh Gupta

Abstract- – Nowadays, heat exchangers with twisted-tape inserts have widely been applied for enhancing the convective heat transfer in various industries such as thermal power plants, chemical processing plants, air conditioning equipment, refrigerators, petrochemical, biomedical and food processing plants. In general, twisted tape insert introduces swirl into the bulk flow which consequently disruptsa thermal boundary layer on the tube surface. Recently, the use of twisted tape with cuts and holes becomes popular due to their thermal performance improvement in comparison with other types of twisted tape and several studies have been carried out on these types of modified twisted tape.

Thermal Analysis of Shell and Tube Heat Exchanger with Different Design of Baffle Plate

Authors – M. Tech Scholar Sonu Kumar, Prof. Neetesh Gupta

Abstract- – Shell and Tube heat exchangers are having special importance in boilers, oil coolers, condensers, pre-heaters. They are also widely used in process applications as well as the refrigeration and air conditioning industry. The robustness and medium weighted shape of Shell and Tube heat exchangers make them well suited for high pressure operations. The basic configuration of shell and tube heat exchangers, the thermal analysis and design of such exchangers form an included part of the mechanical, thermal, chemical engineering scholars for their curriculum and research activity.

Review of Micro strip Antenna for GNSS Communication System

Authors – M. Tech. Scholar Shashi Mishra, Associate Prof. Dr Bharti Chourasia

Abstract- – As it is outstanding, the transfer speed of radio wire will diminish with the decline of reception apparatus size and this element constrains the outline of minimal Global Navigation Satellite System (GNSS) fix receiving wire (1-2 GHz). In this correspondence, a novel wideband system in light of the mode examination on the shorting load fix receiving wire is studied. By modifying the position and the extent of the shorting load structure, the prevailing resounding method of fix antenna(TM 10 ) is isolated into two auxiliary modes and these two modes are joined together to shape a wide working band.

A Review on Design and Implementation of Solar Powered BLDC Motor Driven Electric Vehicle

Authors – Jaysingh Prajapati, Devendra Dohare

Abstract- – The DC (BLDC) motor is a perfect drive for low and medium power applications as a result of its high effectiveness, high torque/inertia ratio, high volume of energy, low maintenance requirement and an extensive variety of speed control The proposed control algorithm eliminates phase current sensors and adapts a fundamental frequency switching of the voltage source inverter (VSI), thus avoiding the power losses due to high frequency switching. No additional control or circuitry is used for speed control of the BLDC motor. The speed is controlled through a variable DC link voltage of VSI. An appropriate control of zeta converter through the incremental conductance maximum power point tracking (MPPT) algorithm offers soft starting of the BLDC motor The agriculture sector in our country is highly dependent on rainfall. The system is fully based on renewable energy which is always available without any limitations. Technological improvement in electricity generation by solar system makes the system more efficient. So this scheme can be implemented for irrigation purpose to solve the problem of load shedding. In this way solar power helps to farmer to reduce cost of electricity and have good advantage if additional power supplied to utility grid. This is a simple, cost effective and efficient brushless DC (BLDC) motor drive for solar photovoltaic (SPV) array fed water pumping system. A zeta converter is utilized in order to extract the maximum available power from the SPV array.

Image Retrieval Using Content Features and Biogeography Algorithm

Authors – M.Tech. Scholar Astha Singh, Asst. Prof. Jayshree Boaddh, Asst. Prof. Jashwant Samar

Abstract- – Frequent data requirement in different application increases the need of retrieval algorithms. Out of different type of data image retrieval depends on content feature which need good perception. This paper has introduces the genetic algorithm based clustered storage of images. Image annotation and color features were used for the evaluation of fitness function of genetic algorithm. Bio-geographic optimization genetic algorithm steps were utilized for finding the cluster center of image dataset. BGO operate crossover and mutation on the population that help in selecting good cluster center feature set. Experiment was done on real image dataset of various category. Results were compared on different evaluation parameters with existing algorithms of image retrieval.

Building Resilient Cloud-Native Systems: A DevOps Approach Using Design Patterns and JVM Optimization

Authors -Rajesh S. Bansode, Professor

Abstract- – This paper examines the convergence of cloud-native principles, DevOps practices, and resiliency engineering in modern enterprise systems. It explores how design patterns, JVM optimizations, and DevOps automation enhance scalability, maintainability, and operational resilience. Through real-world case studies, the paper demonstrates the effectiveness of these methodologies in improving fault tolerance, ensuring system reliability, and enabling rapid delivery cycles.

DOI: /10.61463/ijset.vol.9.issue6.521

Intelligent Food Safety and Authentication Platform: A Blockchain-Enabled Machine Learning System for Food Verification

Authors -Dr.S.Dhanabal, Keerthana S, Sarumathy A, Abarna B, Sridhar R

Abstract- – Livestock and agriculture are essential to social and economic stability. Many individuals have serious concerns about food safety and supply chain transparency. Blockchain and the Internet of Things (IoT) are becoming more popular because of their success in a variety of applications. They provide a lot of data, which advanced deep learning (ADL) approaches can effectively use and optimize. From the perspective of supply chain management, these developments are important for a variety of activities, including increased visibility, provenance, digitization, disintermediation, and smart contracts. The safe IoT-blockchain data from Industry 4.0 in the food industry is the subject of this article’s investigation. We suggest a hybrid model based on recurrent neural networks (RNN) using ADL approaches. In order to optimize the parameters of the hybrid model, we combined genetic algorithm (GA) optimization with long short-term memory (LSTM) and gated recurrent units (GRU) as prediction models. After using GA to determine the ideal training settings, we cascade LSTM with GRU. We tested the suggested system’s performance with varying user counts. In addition to assisting supply chain practitioners in utilizing cutting-edge technologies, this article will assist the industry in formulating regulations that align with ADL’s forecasts.

DOI: /10.61463/ijset.vol.9.issue6.522