VOLUME 8 Issue 1 | International Journal of Science, Engineering and Technology

Secure Routing Method in Wireless Sensor Networks Based PSO

Authors- M.Tech. Scholar Anamika Kumari, Asst. Prof. Niresh Sharma
Abstract- The need for efficient optimization of network resources to cover the lifetime of large-scale and dense deployments of Wireless Sensor Networks opened the door for researchers to study and produce efficient clustering techniques. Clustering has proven an effective approach for organizing a large scale WSN into connected groups increasing the lifetime and the reliability of such networks. Distance of the nodes from the base station and inter-node distances can have a high influence on saving energy and extending the network lifetime. In this process, a PSO based data transmission in WSN is proposed. PSO algorithm to optimize clustering process by considering the energy, velocity, speech of each node. This feature will have a great effect in prolonging the network lifetime as it reduces the amount of energy wasted on replacing the node.

A Review on CFD Analysis of Effects of Convergence and Divergence Angles on the Performance of a Nozzle

Authors- M.Tech. Scholar Vishwajeet Yadav, Prof. Pawan Kumar Tiwari

Abstract- The effects of convergence and divergence half-angles on the performance of a nozzle at the different pressure ratios are investigated numerically. The design parameters for the configuration of the baseline nozzle geometry have chosen. The baseline geometry was modified by changing the convergence angle (h) from 10°, 20°. 30°, 40°and 50° and divergence angle (b) from 5°, 7°, 10°, 15° and 20° while the parameters he (exit area) and hi(throat area) are kept constant. For a parametric study, convergence angle and divergence angle has been changed. All special conditions of the nozzle performance. SST k – ω turbulence model is applied to simulate the compressible gas flow inside the nozzle and its exhaust plume.

Government Debt Fore casted through Linear Regression Analysis, SARIMA and Neutral Network Time Series

Authors- Rachel B. Candelario

Abstract- The researchers aim to formulate a model to forecast government debt from 2019-2023 using Linear Regression Analysis, SARIMA and Neutral Time Series. The researchers used data listing government debt of the Philippines from January of 2007 to December of 2018 with a total of 120 observations. The researchers used various methods to tests the statistical assumptions prior to forecasting government debt. Finally, satisfying these assumption leads to its applicability for Linear Regression Analysis, SARIMA, and Neural Network Time Series. Linear Regression Analysis turned out to be the best regression model with a mean absolute percentage error of 0.843. SARIMA (0,1,1) turned out to be the best SARIMA model with a mean of absolute percentage of 0.844. The Neutral Network Time Series turned out to be the best time series model with a mean absolute percentage of 0.834. By testing the forecasting accuracy of Linear Regression Analysis, SARIMA and Neutral Network Time Series, in terms of Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), SARIMA (0,1,1) outperformed the Linear Regression Analysis and Neutral Network Time Series with a Mean Square Error of 2439589.917, Root Mean Square Error of 32.68 % and Mean Absolute Percentage Error of 0.844. The performance showed that the SARIMA model best fit to forecast Government Debt than Linear Regression Analysis and Neutral Time Series. This study can help the government in managing country’s debt as much as possible and try to do more researches to prove determinants like inflation rates really have significant effect in increasing debt of the Philippines.

Review of Healthcare Prediction using Machine Learning Technique

Authors- ME Scholar Vaishnvee Upadhyay, Assistant Prof. Mahesh Lokhande

Abstract- According to the records of WHO 17.5 million individuals bite the dust each year. Constantly 2030 it will ascend to 75 million [1]. The restorative experts related with heart illnesses have a few impediments, they can anticipate the odds of heart assault with the precision of 67% [2], for increasingly exact expectations of heart maladies, and specialists require an emotionally supportive network. The accuracy in expectations of heart assault can be accomplished by profound and AI calculations. In this paper there is a ton of data about the condition of workmanship strategies in profound learning and AI. To help new analyst’s dynamic around there a systematic correlation has been given.

Rumors Detection on Twitter Using Machine Learning Techniques

Authors- ME Scholar Akanshu Patidar, Assistant Professor Kapil Shah

Abstract- Location systems of malignant substance, for example, spam and phishing on Online Social Networks (OSN) are regular with little consideration paid to different kinds of low-quality substance which really impacts clients’ substance perusing background most. The point of our work is to identify low-quality substance from the clients’ viewpoint continuously. To characterize low-quality substance conceivably, Expectation Maximization (EM) calculation is first used to coarsely order low-quality tweets into four classifications. In light of this starter think about, an overview is cautiously intended to assemble clients’ feelings on various classifications of low-quality substance. Both immediate and backhanded highlights including recently proposed highlights are recognized to portray a wide range of low-quality substance. We at that point further consolidate word level examination with the distinguished highlights and fabricate a watchword boycott lexicon to improve the recognition execution. We physically mark a broad Twitter dataset of 100,000 tweets and perform low quality content discovery continuously dependent on the described noteworthy highlights and word level investigation. The consequences of our exploration demonstrate that our technique has a high precision of 0.9170 and a decent F1 of 0.9460 dependent on an irregular woodland classifier with continuous execution in the discovery of low-quality substance in tweets. Our work in this manner accomplishes a positive effect in improving client involvement in perusing internet based life content.

A Review Article of Paper Reduction using Pso Based Optimization Technique

Authors- ME Student Rati Ranjan Kumar, Asst. Prof.Komal Kanojia

Abstract- Orthogonal Frequency Division Multiplexing (OFDM) is an efficient multicarrier modulation scheme in wireless communication. It is used in applications like 4G (fourth generation) mobile Communications, wireless networks, digital television, power line networks and audio Broadcasting. It offers both advantages and disadvantages for multicarrier transmission. The main advantages are the elimination of Inter Carrier Interference (ICI) and Inter Symbol Interference (ISI) in the signal. But OFDM’s one of the main detrimental aspects are high Peak-to-Average Power Ratio (PAPR) value of the transmitted signal which highly affects the power amplifiers complexity. Several techniques to overcome and reduce PAPR such as Tone Reservation (TR), selective mapping (SLM), clipping and filtering, partial transmit sequence (PTS), etc. are proposed and implemented. Detailed description and comparisons of all techniques are discussed in this paper.

A Comparative Analysis of Ptc Based Thermal and Wind Plant

Authors- M.Tech. Scholar Sandeep Kumar, Associate Professor Suresh Kumar Badholiya

Abstract- Hybrid power generation system is good and effective solution for power generation than conventional energy resources. It has greater efficiency. It can provide to remote places where government is unable to reach. So that the power can be utilize where it generated so that it will reduce the transmission losses and cost. It only need initial investment. It has also long life span. Overall it good, reliable and affordable solution for electricity generation. PTC-wind And PTC thermal hybrid energy systems needs only initial investment. It will compete well in generation with the conventional energy sources. When accounted for a lifetime of reduced or avoided utility costs. We have compared of PTC based two hybrid power plant like as wind and thermal using MATLAB software. Hence we conclude by different parameters like as Efficiency, power generation and regulation etc. Hence we comparison of both plant find efficiency 88% for PTC with thermal and 71.23% PTC with wind. To identify more efficiency for PTC with thermal plant minimum transient.

Performance Analysis of AODV and ZRP for Congestion Consequences in MANET

Authors- Manisha Mehra, Dr. Mehajabeen Fatima

Abstract- The increasing mobility of humans across the globe increased demand for infrastructure-less and quickly deployable mobile networks. Such networks are referred as Mobile Adhoc Networks (MANET). Reactive and hybrid routing protocols are utilized to discover the route for data transmission between source and destination. As large number of nodes transmits and receives control and data packets over the network for route discovery and maintenance may results in congestion. Frequent change of the network topology due to node mobility and the shared nature of the wireless channel may also results in congestion. We can increase it to a great extent by having a chance of losing packet over the network. This tends to deteriorate the entire network performance. Accordingly it is required to analyze that which routing protocol has more congestion consequences. Along these lines, in this paper, the performance parameters matrix is investigated to analyze congestion cost on AODV and ZRP routing protocol.

Performance Analysis of AODV and ZRP for Congestion Consequences in MANET

Authors- Manisha Mehra, Dr. Mehajabeen Fatima

Modelling And Forecasting Philippine Gross National Product Using Time Series Model

Authors- Marites G. Ablay, Romelyn O. Del Monte

Abstract- This paper compares the structure of three models in a time series to estimate future growth.A regression model is shown to give minimum weight to the last observed growth and maximum weight to the observed growth in the middle of the sample period. An integrated first – order ARIMA model, or 1(1) model, gives uniform weights to all observed growths. Finally, a second – order integrated ARIMA model at the beginning of the sample period gives maximum weights to the last observed growth and minimum weights to the observed growths. The forecasting performance of these models is compared using Philippine Gross National Product’s annual output growth. However, GNP does include depreciation and indirect business taxes like sales tax. GNP can be adjusted to make valid comparisons year-to-year or among countries. For year-to-year comparisons, GNP needs to be adjusted for inflation. For country-to-country comparisons, GNP needs to be stated on a per capita basis (i.e. GNP divided by the population of the country). The aim of the study was to model and forecast Philippine GNP based on Box Jenkins approach based on the annual data (from 2007 to 2018). The five stages of Box-Jenkins approach are conducted to obtain an appropriate ARIMA model for the Philippine GNP, and we used this model to forecast the Philippine GNP for the next five years (from 2019 to 2023). Time series plots and the correlogram plots were used for testing the stationary of the data. It is determined that the ability of the models in predicting a one year and 5 years step prediction. The table shows that ARIMA(12,1,12) has the best accuracy in predicting one-year step (MSE = .0027, RMSE = .0522, MAPE = .2496). However, it was revealed that ARIMA(3,1,4) has the best accuracy in 5-year step forecast (MSE=.0046, RMSE=.0680, MAPE=.3330),because have the minimum values of MSE, AIC, and BIC. Moreover, we expect that the Philippine GNP will continue to raise according to the forecasted values form the model.

Energy and Energy Analysis of Single Stage Ammonia Water Absorption Refrigeration System</span

Authors- M.Tech. Scholar Anand Gautam, Prof. Brijendra Kumar Yadav

Abstract- In this study, the first and second law thermodynamic analysis of a single-stage compression-absorption system with ammonia-water as working fluid pair is performed. Thermodynamic properties of each point (the inlet and outlet of each component) in the cycle are calculated using related equations of state. Heat transfer rate of each component in the cycle and some performance parameters (circulation ratio CR, coefficient of performance COP) are calculated from the first law analysis. From the second law analysis, the exergy destruction of each component and the total energy destruction of all the system components are obtained. Variation of the performance and energy destruction of the system are examined at various operating conditions. Simulation results are presented in tabular and graphical form. The results of the first and second law analysis of the system, done with the help of a program developed in Engineering Equation Solver software.

Enhancement of Signal Denoising and Fault Detection in Rolling Bearing using Stationary Wavelet Transform

Authors- M.Tech. Scholar Virendra Singh Rajput, Assistant Professor Seema Shukla

Abstract- Vibration signal plays very important role in fault diagnosis of machine because it carries dynamic information of the machine. Signal processing is essentially needed to process and analyse signal but it is difficult to process and analyze the noisy signal. In many cases the noise signal is even stronger than the actual vibration signal, so it is important to have some mechanism in which noise elimination can be effectively done without affecting the actual vibration signal. In order to enhance the desired features related to some special type of machine fault, a technique based on the Stationary wavelet transform (SWT) is proposed in this paper. It is demonstrated that SWT enjoys better shift invariance and reduced pectoral aliasing than Discrete Wavelet Transform (DWT) and empirical mode Decomposition (EMD) and Ensemble empirical mode Decomposition (EEMD) by means of numerical simulations. This paper presents two robust techniques for denoising of vibration signals corrupted by Additive White Gaussian Noise.

Digital Stethoscope using IOT

Authors- Assistant Professor P.Hemalatha, C.Banupriya, C.Divya, T.Ishwarya

Abstract- Stethoscope is an important device for detecting and analyzing heartbeat. For this respect we’ve developed a tool that would show heartbeat graphically on computer also as in Android OS based cell phones. Analyzing the data software would tell Heartbeat per minute and prescribe initial steps to do. The device is especially developed for a user-friendly cardiac monitoring system. Using this, heart disease and pulmonary diseases would be possible from the analysis of the software. The main goal of this project, the patient and the doctor can hear the patient heartbeat and doctor can identify the patient health. This would also help doctors maintaining regular check-up and release patients from the value and complexity of diagnosis. This is a price efficient, user-friendly and reliable biomedical system.

Security Enhanced on Underwater Associates Defend Verification

Authors- ME Scholar Rajju Jambekar, Assistant Professor Nilesh Parmar

Abstract- Software-defined networking (SDN) is recognized as the next-generation networking paradigm. The software-defined architecture for underwater acoustic sensor networks (SDUASNs) has become a hot topic. However, the current researches on SDUASNs are still in its infancy, which mainly focuses on network architecture, data transmission and routing. There exist some shortcomings that the scale of the SDUASNs is difficult to expand, and the security maintenance is seldom dabbling. Therefore, a scalable software-definition architecture for underwater acoustic sensor networks (SSDUASNs) is introduced in this paper. It realizes an organic combination of the knowledge level, control level, and data level. The new nodes can easily access the network, which could be conducive to large-scale deployment. Then, the basic security authentication mechanism called BSAM is designed based on our architecture. In order to reflect the advantages of flexible and programmable in SSDUASNs, security authentication mechanism with pre-push (SAM-PP) is proposed in the further. In the current UASNs, nodes authentication protocol is inefficient as high consumption and long delay. In addition, it is difficult to adapt to the dynamic environment. The two mechanisms can effectively solve these problems. Compared to some existing schemes, BSAM and SAM-PP can effectively distinguish between legal nodes and malicious nodes, save the storage space of nodes greatly, and improve the efficiency of network operation. Moreover, SAM-PP has a further advantage in reducing the authentication delay.

The Impact of Word of Mouth on Consumer Buying Behavior

Authors- Muhammad Farooq

Abstract- Words of mouth play an unusual role in the marketing of a product or service. as it is the most beneficial source free from of advertisement, which is shared by friends and family, that effects buyer’s purchasing behavior. In the currently presented research It has been quantitively investigated the impact of words of mouth on consumer buying behavior from both primary and secondary sources of data collected specifically in the educational sectors/universities of the Quetta city. Through linear regression analysis it was revealed that words of mouth do affect consumer buying decision especially when he is involved in purchase of expensive items. It was also found in the recent study that negative words of mouth are of special concern for buyers in their purchasing attitude because negative feedback or comment do affect their decision more than positive one.

Performance Improvement on Cellular Network using Cognitive Radio Network with Coordinated Multipoint Joint Transmission

Authors- M.Tech. Scholar Akansha Shkula, Associate Professor Keshav Mishra

Abstract- Cognitive radio (CR) is considered to be a promising technology for future wireless networks to make opportunistic utilization of the unused or underused licensed spectrum. Meanwhile, coordinated multipoint joint transmission (CoMP JT) is another promising technique to improve the performance of cellular networks. In this paper, we propose a CR system with CoMP JT technique. We develop an analytical model of the received signal-to-noise ratio at a CR to determine the energy detection threshold and the minimum number of required samples for energy detection–based spectrum sensing in a CR network (CRN) with CoMP JT technique. The performance of energy detection–based spectrum sensing under the developed analytical model is evaluated by simulation and found to be reliable. We formulate an optimization problem for a CRN with CoMP JT technique to configure the channel allocation and user scheduling for maximizing the minimum throughput of the users. The problem is found to be a complex mixed integer linear programming. We solve the problem using an optimization tool for several CRN instances by limiting the number of slots in frames. Further, we propose a heuristic-based simple channel allocation and user scheduling algorithm to maximize the minimum throughput of the users in CRNs with CoMP JT technique. The proposed algorithm is evaluated via simulation and found to be very efficient.

Thermal Performance Analysis of Steam Surface Condenser Using EES Code

Authors- M.Tech. Scholar Kamlesh Amrute,
Prof. Brijendra Kumar Yadav

Abstract- The condenser is a heat transfer device or unit used to condense a substance from its gaseous to its liquid state, typically by cooling it. In doing so, the latent heat is given up by the substance, and will transfer to the condenser coolant. Use of cooling water or surrounding air as the coolant is common in many condensers. The main use of a condenser is to receive exhausted steam from a steam engine or turbine and condense the steam. The benefit being that the energy which would be exhausted to the atmosphere is utilized. In this study the process flow considered is a typical 210000 kW coal fired power plant having single reheat system with 4 low pressure heater (LPH), 3 high pressure heaters (HPH), high pressure turbine (HPT), intermediate pressure turbine (IPT) and double flow low pressure turbine (LPT).Performance of the condenser is analyzed based on logarithmic mean temperature difference (LMTD) method.

Improvement of Cement Concrete Properties by Utilization of Flex Banner & Steel Scrap to Reduce the Pollution Load on Earth

Authors- ME Scholar Avdhesh Rawat, Asst. Prof. Dr. Amit Vishwakarma

Abstract- Overall economy of construction plays very significant role in the development of the country. Waste materials are available in abundance, both in industries and in nature that can be utilized in concrete and can boost its strength for economical construction. Out of these materials, Flex Banner is a commercial waste material are harmful for environment and steel scrap is also a waste material originated from steel industries. Prior researches indicate that steel scrap provide enhanced strength as compared to Flex banner. Steel scrap slightly reduced the workability to the concrete and raises its compressive strength higher w.r.t. workability. This research deals utilization of the commercial and industrial waste material into concrete, which may enhance the characteristics of concrete and makes environment eco-friendly and also shows the comparative study between Flex Banner and Steel scrap concrete with M30 concrete grade.

Simulation Analysis on Advances Inphotovoltaic Structure built on the Enhanced P&O Algorithm using Matlab

Authors- M.Tech. Scholar Shrangarika Dehariya, Associate Professor Dr. Dolly Thankachan

Abstract- This paper is an analysis to determine a typical photovoltaic system with MPPT performance and algorithmic rule. Combining the models of established star module and DC-DC buck-boost device with the algorithms of perturbation and observation P&O this technique is developed.Comparative study of the simulation results will show that the system will trail the maximum power accurately with MPPT algorithm.This algorithm possesses quick dynamic response and well regulated PV output voltage and allows rising efficiency, stability and accuracy of solar systems.

Secure N-B Block Based DIW Technique using DWT and DCT

Authors- Phd Research Scholar Arpana Bhandari, Prof.Dr. Rajiv Srivastava, Associate Prof. Dr.Shailja Shukla

Abstract- Digital picture watermarking can be measured as a better answer to protect verification of images and its copyright defense. The purpose of proposed method is to provide better security of host image. Proposed method is implemented using DWT and DCT. Watermark image is inserted in LL sub-band of host image by dividing it using DWT. 8×8 blocks DCT is applied on LL sub-band and watermark is embedded into last pixel of each block. On the basis of watermark pixel value, pixel value of host image is affected. Here, binary watermark image is taken for experiment. Extraction process is completely non-blind technique. In extraction DWT technique is applied on both host image and watermarked image. Finally reverse process of embedding is applied to extract exact watermark image.

Survey on an Online Social Network Based Question and Answer

Authors- Hans Raj Pal, Professor Ritesh Yadav

Abstract- Question and Answer (Q&A) system presume a basic component in our day by day life for information and details sharing. Clients submit inquiries and select inquiries to reply in the framework. Due to the fact of the rapidly building client populace and the amount of inquiries, it is improbable for a client to unearth an inquiry by opportunity that he can reply. Philanthropy does not urge all clients to give solutions, also great solutions with a quick response hold up time.

Smart Wheel Chair

Authors- Prof. R.A.D. Martin Dhinakaran M.E.,Menaga .J,Ramya .R,Umabharathi .S

Abstract- This paper describes the voice controlled wheel chair which operates on user’s command .Nowadays the physically challenged person’s use the wheel chair without depending on others. The wheel chair can be controlled by the simple voice commands given by the user. The wheel chair can also be used by the people who are unable to drive by using the hand. The location of the user can be traced by the GPS module that tracks and send the information by using IOT. The system also offers the obstacle detection by using the IR sensor. Few patients such as quadriplegic, cerebral palsy and multiple sclerosis are dependent on other people to move from one place to another. Depending upon the direction specified in the commands, the Arduino will drive the motors. It can sense the body temperature and the heart beat rate. The system also controls the movement of wheel chair by using the accelerometer. As this system simultaneously offers voice operated wheelchair, motor speed control, obstacle detection and GPS tracking of patient using android app, hopefully it will be a fruitful system for the handicapped people worldwide.

A Survey on Web Page Prediction Techniques and Web Mining Features

Authors- Trivene Khede, Dr. Avinash Sharma

Abstract- As websites are increasing day by day, so user behavior analysis for improving the website performance attracts many researchers. This paper given an detail survey of various techniques of web mining for next page prediction. Here feature required for the website analysis for page prediction were also discussed. This paper has provided a details survey of different researcher work as well. Paper has identified the application area of user behavior analysis for the website page prediction. Comparison of different page recommendation algorithm was done by evaluation parameter hence last section of this paper brief various set of formula.

CFD analysis of tube receiver for parabolic trough solar collector with pin fin arrays towards CSP Technologies

Authors- M.Tech. Scholar Sarabjeet Singh, Prof. Kashiram Kadwe

Abstract- In this study, Tube receiver with pin fin arrays inserting was introduced as the absorber tube of parabolic trough receiver to increase the overall heat transfer performance of tube receiver for parabolic trough solar collector system. The Monte Carlo ray tracing method (MCRT) coupled with Finite Volume Method (FVM) was adopted to investigate the heat transfer performance and flow characteristics of tube receiver for parabolic trough solar collector system. The results show the temperature contour diagrams, turbulent kinetic energy (TKE), and effect of variation of parameters such as Reynolds number, mass flow rate and number of ribs on Nusselt number, heat flux, heat transfer coefficient, pressure drop, temperature for smooth tube and roughened absorber tube, Nusselt number ratio variation with Reynolds number, and it is concluded that the higher Reynolds number is, the more uniform temperature distribution on the absorber tube along the flow direction can be obtained and that the temperature decreases sharply with the increase of Reynolds number and mass flow rate which is benefit to decrease the thermal stress on the absorber tube. We can further extend our study with helical coiled tube as heat absorber in evacuated tube receiver.

Perception of Bschool Students about Various CRM Activities of Mobile Service Providers

Authors- Raghupriya. A, Associate Professor Dr. Thiruchelvi Arunachalam

Abstract- India is a developing country and communication technologies play a major role in its development especially mobile phone industry has come a long way. This research paper focuses on the consumer usage behavior of mobile phones and their perception about customer relationship management (CRM) activities of their service providers. Some of the most frequently used CRM activities are selected and a survey was conducted to 119 people pursuing MBA at various colleges across TamilNadu. The research focuses on the customer satisfaction level and also suggests some improvements that are needed to make by the existing players in the market to stay more competitive.

Thermal Analysis and Optimization of Heat Exchanger Designed for Co-Generation Units

Authors- M.Tech. Scholar Md. Mahtab Alam, Prof. Deo Kumar Singh

Abstract- Heat exchangers are more often than not used equipment’s in the process industries. All most all process industries use heat exchangers for cooling, heating, condensation or boiling purpose. A heat exchanger is simply a device or a mechanical device which is designed expeditiously in order to transfer or exchange heat from one substance to another. If two fluids are alleged at altered temperatures heat exchangers are used to exchange the heat between them. In this paper efforts have been made to design a heat exchanger by modelling in ANSYS software which is having shell of 500 x 30 x 1000 and different tube diameters and inlet velocity of the cold gases. These three variables were manipulated in order to investigate heat transfer performances, as well as, effects of heat transfer fluids and the system’s efficiency. Simulations using Computational Fluid Dynamic (CFD) were carried out, to have a better understanding and distinct visualization of the fluid flow, and to test and compare the results. The outcomes show that, different size of coolant tube diameter has the biggest impact on the system efficiency, compared to the results. Here assembly of shell and tube are done with air as a medium.

Image Search using Hybrid Techniques

Authors- M.Tech. Scholar Sakina Bohra, Assistant Professor Lokesh Parashar

Abstract- To retrieve important images from a dissimilar collection by using visual queries as search arguments are the arduous and substantial open problems. In this paper the writers have mentioned the designs and implementations of a simple yet very effective Content-Based Image Retrieval (CBIR) system. The colors, textures and the shapes features are the vital parts of this system. With the three main consequent searching steps the searching becomes multilevel. Such propounded systems are very unique as they consider one feature at each step and use the results of the previous step as the input for the next coming step in multilevel pattern whereas in the earlier methods all the features are combined at once for the single-level search of an average CBIR system. The propounded method is very simple and comfortable to adopt. The retrieval grade of the propounded method is valuated using bi-benchmark datasets for an image classification. The above system of methods shows very good results in terms of amelioration in retrieval qualities, when compared with the literature. In proposed work we get accuracy like between 68.15 % to 94.86% in used different features.

Impact of Peer Learning and Learning through Networking Sites on the Attitude towards Social Media

Authors- Research Scholar Amitabh Saxena, Prof. Dr. Sitesh Kumar Sinha

Abstract- The present paper is an account of the experimental study which aimed to study the impact of peer learning and learning through networking sites on the attitude towards social media. The objectives of the study were a) to study the level of attitude towards social media of undergraduate students; b) to study the level of attitude towards social media of students from peer learning group and social networking group; c) to study the effect of treatment, gender and their interaction on the attitude towards social media by taking intelligence as covariate; and d) to study the effect of treatment, type of institution and their interaction on the attitude towards social media by taking intelligence as covariate.Posttest-Only Random Group Design was utilised. The sample consisted of 183 undergraduates boys and girls from government and privates institutes of Bhopal district. The tools used for data collected included Raven’s Progressive; Attitude towards Social Media Scale; and Achievement test on a selected topics. It was found that the students learning through networking sites had better attitude towards social media. It was also revealed that male undergraduate students were found to have significantly higher attitude towards social media than female counterparts also private undergraduate students were found to have significantly higher attitude towards social media than government undergraduate students when intelligence was taken as covariate.

Digital Transformation in Indian Libraries: Adoption and Challenges

Authors- Assistant Professor Rakesh Kumar

Abstract- The digital transformation of Indian libraries has accelerated in recent years, driven by technological advancements, increased internet penetration, and policy initiatives aimed at modernizing information services. This study explores the adoption of digital technologies in Indian libraries, analyzing a dataset of 200 libraries across various types (Public, Academic, Research, and Corporate) and geographical locations (Urban, Semi-Urban, and Rural). The research examines key factors influencing digital adoption, including access to digital resources, automation software usage, internet availability, funding sources, and challenges such as infrastructure limitations, budget constraints, and digital literacy gaps. Findings indicate that while urban academic and corporate libraries exhibit higher levels of digital adoption, rural and public libraries continue to face significant barriers due to inadequate funding and lack of skilled personnel. Statistical analysis reveals correlations between funding sources and the extent of digital integration, highlighting the crucial role of government and institutional support. The study concludes by providing policy recommendations to bridge the digital divide, enhance digital literacy, and foster a more inclusive digital ecosystem in Indian libraries. This research contributes to the ongoing discourse on digital transformation in developing economies, offering insights for policymakers, library administrators, and researchers in information sciencea.

DOI: /10.61463/ijset.vol.8.issue1.191