bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the Enrollment and Dropout of Students in the Post-Graduation Degree using Machine Learning Classifier
Authors:   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Biswas Al Amin , Majumder Anup ,   Department of CSE, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh., Mia Md. Jueal ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Nowrin Itisha ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Ritu Nadia Afrin ,   Department of CSE, Bangladesh University of Business and Technology, Dhaka, Bangladesh.
Published: September 2019

Nowadays, In Bangladesh, the dropout rate at post-graduation level or incompletion of the post-graduation degree is considered as a serious problem in the education sector. This work can be used to support for identifying the specific individuals as well as the institutional factors which may next lead to the enrollment or drop out at the post-graduation degree. The real dataset is used to accomplish this work. Here, seven classification algorithms namely Naïve Bayes, Multilayer Perceptron, Logistic, Locally Weighted Learning (LWL), Random Forest, Random Tree, and Part are applied in this context. A confusion matrix is calculated for each classification model. Then, we computed all the seven performance evaluation metrics (accuracy, sensitivity, precision, specificity, F1 score, FPR, and FNR). Each classifier's performances are analyzed and measured from the computed performance evaluation metrics. Naïve Bayes, LWL, and Part classifier perform better than all other working classifiers attaining 86.36% accuracy and on the contrary, Random Tree classifier performs worst achieving 74.24% accuracy. After further analyzing of the result based on performance evaluation metrics, it is observed that LWL classifier performed best in this context among all the classifiers.
Design, Implementation and Power Analysis of Low Voltage Heterojunction Tunnel Field Effect Transistor based Basic 6T SRAM Cell
Authors:   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India, Satyanarayana B V V , Prakash Dr. M Durga ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India
Published: September 2019

The battery-powered mobile devices limited energy process by MOSFET's due to subthreshold swing and underneath 60mV/dec for ultra fewer energy applications. This research introduces the layout and execution of a mobile electronic device full-on-presence, extended Miller potential, and reduced HETT subthreshold swing effectiveness has been compared with MOSFET's Gate oxide blending on source can increase channel tunneling in this work. To enhance transistor line, Miller capacitance impact can be decreased by using low band offset equipment and small power product of metals such as Ge or SiGe. This, in turn, leads to stronger transistor efficiency features. The proposed layout and execution of HETT includes manufacturing of mutually NHETT and PHETT and efficiency analyzes of both NHETT and PHETT. Concerning the fundamental and skeletal distinctions among MOSFET and HETT to promote the utilization of MOSFET instead of HETT, the benefits and constraints of both NHETT and PHETT have been detailed. HETT's construction process is by no means entirely different, suitable for the scheme of MOS method and suitable for transportable motorized applications. HETT provides the 6T SRAM cell electricity evaluation and the output was reviewed using standard SRAM cell. The average power, maximum power and minimum power of SRAM by using both MOSFET and HETT are obtained and compared. The mask layers of HETT fabrication is not that much difference than MOSFET and hence CMOS MOSFET fabrication is friendly to HETT fabrication. In future, the combination of both CMOS MOSFET and HETT are used, CMOS technology for digital logic and HETT for semiconductor memory applications.
An Intelligent Learning Management System using Ontology
Authors:   Department of Computer Science, Sacred Heart College, Tirupattur, India., Magendiran Poovizhi , Lourdusamy Ravi ,   Department of Computer Science, Sacred Heart College, Tirupattur, India,.
Published: September 2019

Ontology and Semantic is considered to the next generation of web that benefits many different fields like bio-informatics, Data transformation & integrations. Considering this, the E-learning plays a vital role in Learning Management System (LMS), which includes the modules like content development, assessment, feedback, course management and etc. The web application is developed with various LMS features integrated with Semantic Web. Typically, the application runs on Google Cloud Platform which is being served to all users anytime to access. This application is incorporated with semantic web to provide the LMS to the users that works mainly on the principle of extracting the knowledge from the user interaction via the assessments and analyze their behavior / actions on the level of the particular course content and translate them in to semantics which are represented as Ontologies. An intelligent workflow and learning plan for the user is derived and recommended to the user/ learner based upon the learner’s performance on the previous assessments.
Energy Optimized Cooperative Spectrum Sensing in Cognitive Network
Authors:   Department of VLxSI Design & Embedded systems Visvesvaraya Technological University,Belgavi, Thanuja Dr. T. C. , Daman Katre Apurva ,   Assistant Registrar (Examination), Sanjay ghodawat university, Kolhapur.
Published: September 2019

The spectrum scarcity problem is addressed by number solutions by various researchers in cognitive network field. The dynamic spectrum allocation using cooperative spectrum sensing is required to analyze with respect to errors present in detection due to fixed threshold. The spectrum allocation on the basis of demand may involve the priority based requests for spectrum allocation. The contribution of this paper is for evaluating the performance of dynamic threshold energy detection schemes which are error dependent and hence minimization of errors. The performance evaluation of two methods with error minimization strategy are evaluated and results are compared to know the performance oriented dependency parameters in dynamic threshold methods and to provide the platform strategy for energy optimization in cooperative sensing.
Traffic Flow Prediction using Combination of Support Vector Machine and Rough Set
Authors:   Research Scholar, G H Raisoni College of Engineering , Nagpur, India., Deshpande Minal , Bajaj Preeti ,   Electronics Engineering, G H Raisoni College of Engineering , Nagpur, India.
Published: September 2019

Congestion is the primary issue related to traffic flow. Avoiding congestion after getting into is not possible. So the only way is to make the informed decision by knowing the traffic situation in advance. This can be achieved with the help of traffic flow prediction. In the proposed work, short term traffic flow prediction is performed using support vector machine in combination with rough set. Traffic data used for analysis is collected from three adjacent intersections of Nagpur city and traffic flow is predicted at downstream junction. The work has attempted to study the effect of aggregation intervals and past samples on the prediction performance using MSE threshold variation. Rough set is used as a post processor to validate the prediction result. Accurate and timely prediction can provide reliability for optimized traffic control and guidance.
Delineation of Flood Risk Zones in Hyderabad City: GHMC-West Zone
Authors:   Centre for Spatial Information Technology, JNTU, Hyderabad, India., Reddi P.Neeharika , Ravindranathan Mr. Mahesh ,   Indian Institute of Surveying And Mapping, Survey of India, Uppal, Hyderabad, India., Viswanadham Dr.M. ,   Department of Civil Engineering, JNTU, Hyderabad, India.
Published: September 2019

Increase in urbanization leading to climate changes and human activities have resulted in flash flood scenarios with varying intensity rainfalls in the city. The uneven distribution of rain fall coupled with Mindless urbanization, encroaching upon and filling up of natural drainage channels and lakes to use the high-value urban land for buildings are the main causes of urban flooding. The built environment of urban areas transforms the natural pervious environment into impervious ground surfaces, inhibiting infiltration. Since water cannot infiltrate into the ground in these urban impervious surfaces, it runs across the surface when it rains and as the surfaces become larger and steeper the speed and quantity of runoff increases.
Different Routing Protocols for Wireless Body Sensor Area Network
Authors:   Research Scholar, Department of Electronics and Telecommunication, Padmashree Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, SPPU, Maharashtra, India., Nagannavar Archana. G. , Kulkarni Mrs. Anju V. ,   Professor, Department of Electronics and Telecommunication, Padmashree Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, SPPU, Maharashtra, India, Menon Ms. Radhika ,   Professor, , Department of Mathematics Technology Padmashree Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, SPPU, Maharashtra, India
Published: September 2019

Locomotion produced by body movements in Wireless Body Area Networks (WBANs) affects the link-quality of intra-BAN and inter-BAN interacting units, that, in turn, changes the Quality-of-Service (QoS) of individual WBAN, that includes reliability, efficient data transmission and network throughput . Further, the variation in link quality In central of WBANs and Access Points (APs) makes the WBAN-equipped cold-blooded more resource-constrained in nature, which also varies the data dissemination delay. Therefore, to lessen the DDA of the network, WBANs send Cold-blooded’ physiologic info to local servers using the proposed opportunistic transient connectivity establishment algorithm. Additionally, limb/body movements induce dynamic changes to the on-body network topology, which, in turn, increases the network management cost and decreases the life-time of the sensor nodes periodically. Simulation results show significant improvement in the network performance compared to the existing solutions.
Water Methanol Injection based Four Stroke Single Cylinder SI Engine Using an Electronic Control Unit
Authors:   Assistant professor in the Department of Automobile Engineering, Sriram Engineering College, Chennai-602024, India., Vignesh P. , Mahesh G. ,   Assistant professor in the Department of Automobile Engineering, Sriram Engineering College, Chennai-602024, India., Manikandan P. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai
Published: September 2019

Now a days there is an Increasing rate of pollution which cause the environmental as well as human hazards. Pollutions are mostly caused from two main areas one is from industrial areas and another one is automobiles. In recent technologies, researchers have found various alternative methods to reduce emission, we taken an initiative to introduce water with alcohol in precise measure to increase performance and reduction of emission in all standards of automobile. Reduction of exhaust emission is attained by adding a secondary fuel along with the SI engine primary fuel. Water and methanol mixture is a secondary fuel injected into the combustion chamber with the support of an injector. An inlet manifold is modified to fix the injector and the flow of H2O (water) and CH3OH (methanol) mixture and injection timing is controlled by electronic control unit (ECU). By the experimental investigation of this project, we had studied that the emission from the engine is reduced, the fuel consumption of the vehicle is decreases, and it has improve the inter-cooling capacity of engine and efficiency of the engine improved.
Synthesis and Thermal Energy Storage Analysis of Copper Oxide Nano fluid for Heat Transfer Applications
Authors:   Principal, Sri Sairam Engineering College, Chennai, Prasad A. Rajendra , Kumar S K Dinesh ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Banu T.Vinithra ,   Department of Mechanical Engineering, Prince Shri Venkateshwara Padmavathy Engineering College,Ponmar-600127, India., Vignesh T. ,   Department of Mechanical Engineering, Rajalakshmi Engineering College,Chennai-602105,India, Aatthisugan I. ,   Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur- 603203, India.
Published: September 2019

In this paper we have discussed about the synthesis and thermal analysis of nanofluid as phase change material (PCM). Enhancement of thermal conductivity rate serves as a greatest challenge in the present scenario and to overcome this hindrance, nanofluid synthesis was made. Copper oxide nanoparticle was synthesised by double precipitation method and the nanofluid was prepared by two step method. Paraffin was selected as a base material in which the CuO-nanoparticle was dispersed. To check the thermal storage enhancement Differential scanning calorimetry (DSC) test was carried out. With the melting and solidification curve analysis we were able to infer that the latent thermal storage enhancement was increased drastically with the nanoparticle dispersed sample, than with the ordinary base material. The above nanofluid was subjected to laser flash analysis (LFA) to obtain the thermal conductivity enhancement rate. Thus, we can come up with a suggestion of using CuO nanofluid as an effective phase change material (PCM) for heating applications..
Brand Equity and Brand Performance on Branded Apparels in Chennai City
Authors:   Research Scholar, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil Nadu, Reddy V. Devendranath , Kavitha S. Fabiyola ,   Assistant Professor, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil Nadu
Published: September 2019

The present paper focuses mainly on perceived quality, trust and loyalty of brand. Virtually, the equity of the brand is copiously considered comprising assets, liabilities name as well and symbol of the brand that either addsorsubtracts from the value provided by a product or service to a firm and/or to that firm’s customers. In this study observed that majority of the customers (41 %) perceive good brand quality, majority of the customers (41.50%) trust the brand and majority of the customers (56 %) grow fond of it after using the brand.
Impact of Employee Satisfaction towards Induction Training Program
Authors:   Research Scholar, Department of Management Studies, Bharath Institute of Higher Education and Research, Chennai, India., R Bharthvajan , Kavitha S Fabiyola ,   SRM Arts and Science College, Trichy, Associate Professor, Department of Management Studies, Chennai, India.
Published: September 2019

Training plays a good part in this competitive globe in the qualified and business format. Training is the cornerstone that suffices the need for job functioning smoothly and smoothly, which also helps to enhance the quality of employee working lives and organizational development. Development is a method that contributes to the organization's qualitative as well as quantitative advances, particularly at the managerial level, is less regarded with strong abilities and is more worried with understanding, values, attitudes and behaviors in relation to particular abilities. Development can therefore be described as an ongoing process, while training has particular fields and goals. Training involves positive growth in such organizational intentions in order to optimize the quality of the workers ' working lives. These kinds of training and growth programs assist improve staff behavior and attitude towards the job as well as enhance their morality. Training and growth programs for employees are therefore significant elements that need to be studied and concentrated on. This article focuses and analyzes the results of the literature on the significance of induction training and growth in Cavinkarepvt ltd and their relationship with the sustainability of the staff.
Hybrid Tabu-Shuffled Frog Leaping Algorithm for Multipath Quality Route Selection Routing In High Mobility Network
Authors:   Research Scholar, Bharathiyar University, Coimbatore, India., E Indhumathi , Deepa V. Dr. Baby ,   Asst. Professor, Government Arts College(Auto), Karur.
Published: September 2019

The Mobile Ad hoc Networks (MANETs) have been emerging as a technology offering many advantages to the users as regards cost and ease. The MANET is the collection of the connected mobile nodes and the connection is by the wireless links forming a temporary topology of network operating without centralized administration or the base station. Routing indicates a method by which information gets forwarded from transmitters to recipients. This is a strategy which guarantees the connection between two of the nodes in this network. For this work, there was a routing algorithm that was proposed for an efficient determination of an optimal path from the source to the destination in the MANETs. The Ad hoc On-Demand Distance Vector Routing (AODV) based protocol has been a routing protocol that has been designed for operating the MANET. This algorithm had been designed by means of using the TABU Search (TS) and the Shuffled Frog Leaping Algorithm (SFLA) which has been a metaheuristic algorithm that is a representation. The TABU_SFLA proposed had carried out two other operations generated in the neighbourhood for determining the optimal path and to minimize the time of execution. The results were compared to prove that the proposed TABU_SFLA was able to outperform all other algorithms that were well-suited for adapting the problem of routing optimization.
An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network
Authors:   Assistant professor, Computer Science & Engineering, GRT Institute of Engineering and Technology, Tiruttani, M S Mr.MAHARAJAN , Abirami Dr.T. ,   Associate Professor, Information Technology, Kongu Engineering College
Published: September 2019

Today, the Wireless Sensor Network (WSN) is emerging to be a very promising technology to be employed in the future. There were different protocols in energy-efficient routing that were designed and further developed for the WSNs for the purpose of supporting data delivery given to their respective destinations. The different techniques of clustering are perused widely by different researchers for increasing their objectives of scalability and also their lifetime. There have been many protocols used for the creation of a hierarchical structure to reduce the cost of the path at the time of making any communication to the base station. This work increases an energy lifetime and the stability of the network in an efficient manner within the protocols of clustering for which several protocols were suggested. Discussion is made on the Bat Algorithm (BA), the Bat algorithm along with mutation and the Genetic Algorithm (GA). This BAT algorithm had search abilities with various applications to solve problems in engineering. There was viability for the mutated BAT algorithms observed in various tasks that were proven and were shown by the empirical outcomes thus making the proposed scheme to perform better in comparison with all schemes.
Survey on Identification of Alzheimer Disease Using Magnetic Resonance Imaging (MRI) Images
Authors:   Assistant Professor, Dept. of Computer Science, Smt. V.H.D. Central Institute of Home Science (A),Bengaluru, Sumanth S , Suresh Dr A ,   Principal, Dept. of Computer Science SIRI PSG Arts and Science College for Women, Sankagiri (tk) - 637 301, Salem District
Published: September 2019

Alzheimer’s disease (AD) is a neuro-degenerative disorder which is characterised functional and cognitive deficits that take place progressively. Early detection of the AD is important for the therapy to be early and this may slow down the disease and its progression. For the purpose of bringing about an improvement to the incidence of early detection of the AD, there may be certain Normal Controls (NC) that is based on the structural analysis of Magnetic Resonance Imaging (MRI). In fact, an early detection of the AD by means of using an MRI can help both patients, as well as physicians, to a great extent since it is of a low cost and is also a procedure that is non-invasive providing objective diagnosis by avoiding human errors. This has been connected to the accumulation of the amyloid and the tau proteins found in the brain which is probably the commonest cause for a case of dementia and also accounts for almost 70% of cases of dementia. The MRI is an extremely promising technique in terms of detection of functional or structural brain differences observed among both these patient populations. For the purpose of this work, there had been a new survey that had been made for the identification of a new case of Alzheimer’s disease by means of using the MRI images.
Optimizing the Productivity and Increasing the Profitability of Oil Seed Corps using Data Analytics
Authors:   Research Scholar, Dept. of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu State, India., Baskar K. , Arivalagan Dr. S. ,   Asst. Professor, Dept. of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu State, India., Sudhakar Dr. P. ,   Associate Professor, Dept. of Computer Science and Engineering,, Annamalai University, Chidambaram, Tamilnadu State, India.
Published: September 2019

This study discuss the about the optimization of the yield of the oil crops by using Adaboost technique for predicting the desired results. Big data analyses are used to collect and process the required information. Agriculture is the backbone on the Indian economy. The yield of the various crops depends on the rainfall, weather, types of soil, fertilizer used, irrigation methods and cultivating procedure. Every year, the mismatch in the demand and supply results in major loss to the crop producers, the issues can be addressed by preprocessing the data scientifically. For this process a novel OSM method is used. Our proposed method gives suggestion about when they sow Oilseeds and Sell grain in Market (OSM) that they required more information. In this study data related to various crops has been collected from different sources. Adaboost technique is used to process the data for predicting the required information for the optimum benefit of the producers. This method of analysis gave a better solution to the producers to gain maximum yield and profit.
FPGA Implementation of Smart Water Quality Monitoring System
Authors:   Instrumentation and Control Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India, Balaji N. , Vijayalakshmi Dr.S. ,   Electronics and Instrumentation Engineering, R.M.K Engineering College, Chennai, Tamilnadu, India, Durgadevi K. ,   Electrical and Electronics Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India, Mohanraj K. ,   Instrumentation and Control Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India, Mangayarkarasi T. ,   Instrumentation and Control Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India
Published: September 2019

Water quality is important to our health and well- being .Water quality monitoring plays a vital role in keeping the planet healthy and sustainable. Due to increasing industrialization and environmental imbalance, water quality and fresh water quantity are decreasing day by day. In this paper, a reconfigurable hardware system is developed to monitor the water quality and physical parameters are monitored using temperature sensor and turbidity sensor; chemical parameters are monitored using pH sensor; in addition CO2 and water level sensors are used. These sensors are interfaced with the reconfigurable hardware i.e., FPGA. This FPGA is used to monitor the water related parameters such as water quality, waste water parameters and also used in agricultural fields. The hardware is implemented using Verilog HDL. Wireless Sensor Network enables interface between human and computer by means of wireless link. The output is displayed in the personal computer.
Public Opinion on Bribery With Special Reference To Chennai
Authors:   B.B.A.,L.L.B(HONS),I YEAR, Saveetha School of Law, SIMATS, Chennai, Tamilnadu, India., Deepanjali K. , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School of Law, SIMATS, Chennai, Tamilnadu, India.
Published: September 2019

The study is about the bribery activity and its effects Bribery is the act of giving or receiving something of value in exchange for some kind of influence or action in return, that the recipient would otherwise not alter. Descriptive research has been used for the purpose of the study. The objective understand about the bribe and to know about the association between elimination of bribe and educational qualification. The conclusion of the study is to eliminate bribery.
Public Opinion on Cultures Changes in Chennai
Authors:   B.A.L.L.B(HONS),1year, Saveetha school of Law, SIMATS,Chennai, Tamil Nadu, India., Harsalingesh KS , B Dr. Sreeya ,   Associate professor, Department of Management Studies, Saveetha school of Law, SIMATS, Saveetha Institute Of Medical and Technical Sciences SIMATS, Chennai, Tamil Nadu, India.
Published: September 2019

Culture modification may be a term employed in public political affairs that emphasizes the influence of cultural capital on individual and community behavior. it's been generally known as positioning of culture,which suggests the reconstruction of the cultural idea of a society.there is no significant difference between traditional culture and age . The aim to understand about cultural changes in chennai . For research methodology we use discripitive methods is used For the aim of the study ,descriptive analysis .for sampling methods Convenience sampling ways is employed. For Sample size 1480 samples. Independent variable such as Age ,Monthly financial gain,Gender,educational qualifications . Dependent are variable , ancient culture ,Changes in culture ,Social mediaWorship ,traditional ,spending,time,outdoors game.Statisticspercentage analysis ,Chi square ,Correlation ,Independent sample t check ,Anova. the sample size about 1480 .From this research it was found the cultural changes is mainly caused about people forgot of traditional cultures. The main courses of cultural changes is social media .From the research I found cultural changes is mostly increased in the city’s then I give suggestions people want follow traditions culture
Effect of Brand Image On Beverages: A Research on Health Drinks In Chennai
Authors:   B.B.A. L.L.B(HONS), 1st Year, Saveetha school of law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India., Ahalya K. , B Dr. Sreeya ,   Associate Professor , Department of Management Studies, Saveetha school of law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India.
Published: September 2019

The research has been done on health drinks to bring about the general impression on the effect of brand image of health drinks in customers and also to analyze the confidence level in customers. Health drinks is typically healthy and it is designed to increase the height and mental ability in children. Health drinks are safe when compared to soft drinks, which is effective for those below 20. Descriptive research is used in the study. The study used 1450 respondents for the purpose of understanding their views on health drinks. Chi square, Anova and correlation were the statistical tools used for the study. The study has found that even though it is healthy and targets our taste buds, it is better to look into the ingredients and select health drink which is preferred.
On Third Leap Zagreb Index of Some Generalized Graph Structures
Authors:   Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamil Nadu, India., Swathi S. , Natarajan C. ,   Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamil Nadu, India., Balasubramanian K. ,   Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamil Nadu, India., Swathi M. ,   Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamil Nadu, India.
Published: September 2019

Let G be a connected graph with n vertices. The 2- degree of a vertex v in G is the number of vertices which are at distance two from v in G. The third leap Zagreb index of G is the sum of product of degree and 2-degree of all vertices in G. In this paper, we determine the exact values for the third leap Zagreb index of some generalized graph structures
Customer Perception About Window Shopping In Malls In Special Reference To Chennai.
Authors:   BBA LLB(Hons), 1st year Saveetha school of law, Saveetha Institute of Medical and Technical Sciences (SIMATS),Chennai, Tamilnadu, India., Vinoditha N.C. , B Dr. Sreeya ,   Associate Professor, Department of Management Studies Saveetha School of Law Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu. India.
Published: September 2019

Customer perception is a showcasing idea that envelops a buyer’s impression, mindfulness and additionally awareness about an company or its contributions. Window shopping or browsing is an act of examining a store’s display without any motive to buy. The main objective of this research is to know about the perception of the customers about window shopping in malls. Descriptive research is the type of research carried. Out. Convenient sampling method is used. The research was carried out among 1450 respondents Different statistical tools like chi square , correlation and paired t test were used. It shows that male and female have different perspective regarding window shopping. It shows that educational qualification does not create impact on the awareness of product during window shopping. The findings of the research states that there is no significant association between age and entertainment . Most of the people in Chennai have a little awareness about window shopping and its elements.
Public Opinion on Fuel Price With Special References To Chennai
Authors:   B.A.,L.L.B(HONS), I Year, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India., Thilagavathy R , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India.
Published: September 2019

The study is about the public opinion on fuel price. Fuel is a substance such as coal, oil, or petrol that is burned to provide heat or power. Fuel is any material that can be made to react with other substances so that it releases energy as heat energy or to be used for work. Descriptive research has been used for the purpose of the study. The objective of the study is to understand public opinion on fuel price. The convenience method is used as sampling method. The sample size is 1480. The statistical tools used here is correlation, independent sample t test, and ANOVA. This study found that there is significant relationship between the preference towards kinds of vehicle and the income of the respondents. Almost 45% of the respondents prefer petrol vehicles and 43% prefer diesel vehicles. The conclusion of the study is people need to reduce the usage of the fuel.
Accelerated Service Oriented Architecture Implementation of Deduplication Principle
Authors:   Assistant Professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA DEEMED UNIVERSITY, Tamil Nadu, India., Venkatesh K. , Narasimhan D. ,   Associate Professor, Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA DEEMED UNIVERSITY, Tamil Nadu, India., Krishnan R. Bala ,   Assistant Professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA DEEMED UNIVERSITY, Tamil Nadu, India.
Published: September 2019

The phrase “Web Services (WSs)” are emerging as a creative scheme for furnishing the services to various immanent devices over the World Wide Web. The hasty intensification of the WSs applications and the availability of the vast count of the Service Providers create the certainty of selecting the “efficient” Service Provider by the consumers. The scenario Deduplication and Quality-of-Service (QoS) swears out as an objective to distinguish various Service Providers (SPs). The process of selecting proficient WSs / SPs, positioning and optimization of WSs Compositions are exigent dimensions of research with momentous entailments for the fruition of the “Web of Services” revelation. The term “Semantic WSs” follows appropriate semantic descriptions of WS functionality and a medium to facilitate programmed cogitating over WS Compositions (WSCs). The persisting model of the Semantic Web Services (SWSs) deals with the intriguing emerges like wretched forecast of best WSs and gemination of services with effective SPs, which heads to Quality level degradation on the Semantic Web. To deal the above identified issues, the anticipated research is planned to construct a model to manipulative the content similarities (semantic), consumption of a mixture of WSs and its corresponding SPs. After assessing these params, all the WSs are stratified on the basis of its consumption. Ultimately, the nominated scheme, selects the best and non duplicated copy of the WSs on the basis of its rating and placed it in the WSC. The process of detecting the duplicate copy would be performed by the Cryptographic Hash value of the Services. From the experimental annotations, it is recognized that our anticipated design amends the functionality of the SWSs in terms of Processor Utilization, Accessing Time, and its Space optimizations.
Advanced Coherent System For Predicting Cardiac Risks using Data Mining Techniques
Authors:   Assistant professor, Department of Information technology, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Arthi L. , Sujeetha S. ,   Assistant professor , Department of Information Technology, Sri Sairam Institute of Technology, Chennai, Tamilnadu, India., Thirunavukkarasu J. ,   Assistant professor, Department of computer science and Engineering, Sri venkateswaraa college of Technology, Sriperumbudur, Tamilnadu, India., Karunya S. Kalaiarasi ,   Assistant professor, Department of computer science and Engineering, Sri venkateswaraa college of Technology, Sriperumbudur, Tamilnadu, India.
Published: September 2019

Considering health care and medical industry related data there are millions or tons of data which contains numerous hidden information. This information can be mined through which we can make effective decisions in their related industry. There are numerous far advanced methods and techniques in mining and determining the useful decisions using the retrieved useful information. Such an effective system called Coherent cardiac risk prediction system (CCRPS) is developed using neural networks in early detection or prediction of various risk level in cardiac disease. This work employs a multilayer perception neural network with back propagation as the training algorithm. This system aims in predicting the likelihood of patients getting disease related to cardiac such as CHD, a prior heart attack, uncontrolled hypertension, abnormal heart valves, congenital heart disease (heart defects present at birth) and heart muscle disease. The system uses a total of twenty-one medical related parameters such as age, sex, chest pain type, resting blood pressure (in mm Hg on admission to the hospital), serum cholesterol in mg/dl, Smoking, stress etc for prediction purpose. It enables or activated the important knowledge such as how the medical factors related to cardiac disease and patterns and the relationship to be established. Through this system we obtain effective results that have crafted its own diagnostic method or way to predict the risk level measurement of cardiac disease.
Failure of En19 Taper Thread Tool On Welding Ms Plate
Authors:   Asst Professor, Mechanical Engineering, St. Martin's Engineering College, Hyderabad, Telangana, India., Srinivasulu Dr B , Pochaiah Shanigaram ,   HOD & Assoc Professor, Mechanical Engineering, Indur Institute Of Engineering And Technology, Siddipet, Telangana, India., Rao B. Eashwara ,   Asst Professor, Mechanical Engineering, Vignan's Institute of Manag & Tech for Women, Hyderabad, Telangana, India, Bharathi Dr V. V. Prathibha ,   Department of Mechanical Engineering, Associated Professor, Anurag Group of Institution, Hyderabad, India.
Published: September 2019

FSSW is used a lot of vicinity which are from marine to aerospace industry. FSSW is effected with tool rotational speed, tool transverse speed, dwell time and tool plunge depth. One of them is weight. With the reference to the research work In this paper two flat plates of similar metals of MS of 1.2 mm thickness & 30.25mm specimen width are subjected to a solid state welding at 900rpm using the EN19 taper thread tool. The tensile-shear test results showed that the FSSW specimens are better than the specimens welded by the conventional FSSW process at 900-1300 tool rotational speeds with using taper thread tool pin profiles. By doing tensile test following ASTM B 557:2006 procedure the ultimate shear load obtained from the conventional friction stir spot welds is 1.960KN.
A Low Power, High Speed 18-Transitor True Single-Phase Clocking D Flip- Flop Design In 90nm Cmos Technology
Authors:   Design Engineer in Embedded Systems, John Deere India Pvt Ltd, Pune, Maharashtra, India., Kasani Shanti , Raju Dr. G. R. L. V. N. Srinivasa ,   Professor and HOD, Department of ECE, Shri Vishnu Engineering College for Women, Bhimavaram, A.P, India.
Published: September 2019

In this paper the authors came up with a contemporary low power, high-speed 18- transistor true single-phase clocking D flip-flop (FF) design using complementary pass-transistor logic. This design is a master-slave-type logic structure and hybrid logic design consisting of complementary pass-transistor logic style and static CMOS logic style. In order to reduce the number of transistors and to simplify the circuit complexity complementary pass-transistor logic style is used. In this design state transition is faster in the slave latch which enhances time performance using a virtual VDD technique. The circuit is designed using GPDK 90nm CMOS technology and the simulation results show better performance indices such as average power consumption, clock- to-Q delay, data-to-Q delay, PDP and area of utilization.
A Narrative Improvement Techniques Used with The Expert Systems
Authors:   Assistant Professor, Department of CSE, S R Engineering College, Telangana, India., Kumar Komuravelly Sudheer , Chythanya Kanegonda Ravi ,   Assistant Professor, Department of CSE, S R Engineering College, Telangana, India., Kumar Komuravelly Santhosh ,   Assistant Professor, Department of CSE, Jayamukhi Institute of Technological Sciences, Telangana, India.
Published: September 2019

The technologies used for an expert system development have a vital role and take the design to the next level of innovation. These innovations offer essential help to save lots of energy, resources and conjointly to secure the specified infrastructure. The paper concentrates on the innovative technologies used for building an expert system. An expert system also contains associate Interface within users interact and an Interface Engine that performs data reasoning. The planned design interconnects multiple programming languages, hardware and software parts to build the system.
Automatic Brain Tumour Detection using New Structure Algorithm
Authors:   Assistant Professor, Dept. of ECE, Sree Dattha Institute of Engineering and Science, Hyderabad, Telangana, India., Javeed Mohammad , Kumar M.Senthil ,   Assistant Professor/HOD, Dept. of ECE, Sree Dattha Institute of Engineering and Science, Hyderabad, Telangana, India.
Published: September 2019

Tumor is an abandoned development of tissues in any part of the body. Tumors have different treatment for different characteristics of tissues. Brain tumor is a very serious and dangerous, as we know. In developed countries most Research shows that due to the inaccurate detection of tumor many people have died. Normally, CT scan or MRI images will be used for the detection of tumor. In this research, we want to introduce a method which is very advanced and accurate for brain tumor detection based on a new structure algorithm. This technique focuses mainly on preprocessing, Edge detection, segmentation, Feature extraction. Pre-processing will be done first for filtering, after filtering edge detection is applied to the image, then after advanced fuzzy Kmeans (AFKM) clustering algorithm is used for the segmentation process. Finally thresholding will extract the tumor at a particular point in the image. This technique is very suitable for segmentation with exactness when we compare with the manual segmentation. In addition, it also shrinks the time for examination.
Prolong Lifetime of Wireless Sensor Network using Reliable Power Grouping Algorithm
Authors:   Computer Science and Engineering, KIET Group of Institutions, Ghaziabad, U.P, India., Bhardwaj Manish , Ahlawat Prof. Anil ,   Computer Science and Engineering, KIET Group of Institutions, Ghaziabad, U.P, India.
Published: September 2019

Vitality effectiveness is the most testing theme in Wireless Sensor Networks (WSN). As a result of the expanding requests of different applications, and the requirements of vitality, memory and computational intensity of the WSN hubs, numerous thinks about have concentrated on these territories as of late. Specialists have proposed an assortment of conventions, for example, LEACH, PEGASIS and so forth. In this Manuscript, we will talk about how vitality proficiency is influenced by scaling, for example distinctive system sizes, and by various steering calculations. With the expanding utilizations of substantial scale WSNs, for example, savvy framework and ecological observing. This manuscript proposes another steering calculation to enhance the vitality proficiency by decreasing the number and absolute transmissions remove so as to spare vitality. Reproductions propose that the proposed calculation will be more vitality proficient in medium to vast scale remote sensor systems. Kinds of sensors which are utilized to send and get information through the remote system. Since sensors might be conveyed haphazardly, WSNs don't have a fixed framework and there is no very much characterized brought together sorting out system.
A Decentralized Accountability Framework For Enhancing Secure Data Sharing Through Icm In Cloud
Authors:   Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India., R Dhanapal. , K Tharageswari. ,   Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India., S Karthik. ,   Professor & Dean, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India.
Published: September 2019

The Cloud substitutes a computing criterion where shared configurable resources are afforded as an on-demand service over the Internet. Moreover, the cloud environment provides resources to the users on the basis of services like SaaS, PaaS and IaaS. Generally, a cloud can be referred as private cloud or public cloud. When a Cloud Service Provider (CSP) imposes upon public cloud resources to compile their private cloud, the result is demonstrated as a virtual private cloud. Private or public, the imperious intent of cloud computing is to provide simplistic, reliable usage of various computing resources. One of the significant features of cloud is that the outsourced data are accessed through any anonymous machines over the Internet. On the other hand, it creates an issue that user’s fear of unknown access of data, which can become a major difficulty to the wide implementation of cloud. In this paper, a decentralized accountability framework is developed to monitor the actual usage and access of the data that is shared on cloud. For that, a logging mechanism that includes authentication for each user to access the data has also been provided. Moreover, some procedures for providing the data under the control of data owner includes Integrity Checking Mechanism (ICM) have also been developed. The overall process strengthens the security constraints over cloud. And the experimental results reveal that the approach affords secure and scalable data sharing with reduced memory utilization and processing time.
Iq, Eq, Sq And Skill Development Are Not Balanced In Board Examination - A Research With Reference To Chennai City
Authors:   Asst Prof, Dept of Corporate Secretaryship, Anna Adarsh College, Chennai, Tamilnadu, India., Geetham Dr. R. Mary , Lidwina Dr. G. Joicy ,   Asst Prof, Dept of Corporate Secretaryship, Loyola College, Chennai, Tamilnadu, India.
Published: September 2019

A school should follow ‘learning methodology’ (like activity based learning, active learning methodology, etc.), the examination is built within the learning process, which means that there is no separate exam. Students do self-evaluation, projects, etc. while they are learning the content. Here examination is done on the basis of students’ learning. Exams are necessary in schools to find out the real skills, talents and knowledge of the students. But practically this is not done therefore the researcher felt the need to conduct a study to formulate a question paper which measures and values the student’s IQ,EQ,SQ and Skills Developed in the students and researcher wanted to identify the pros and cons of board examination, the understand the psychology of students and various challenges encountered in conducting the board exams. The researcher used SPSS package to analyse the questionnaire and used certain statistical tools such Frequency Analysis, ANOVA , Regression, Factor Analysis etc. to find out that board examination does not inculcate reasoning ability in the minds of the students neither it makes the students to learn with understanding. and it does not test their general knowledge. Board Examination at the same time with few negativity induces problem solving technique and develops social skills though verbal ability and speed of logical reasoning is not tested through questions. Therefore the researcher advises to revise the pattern of exam giving students a stress free environment, carrying general knowledge and logical ability.
Identity Based Encryption and Identity Based Signature Scheme on Security Schemes
Authors:   Research Scholar, Faculty of Engineering & Technology Sakalchand Patel University, Visnagar, Mehsana, Gujarat, India., Patel Maitri , Patel Rajan ,   Associate Professor, Department of Computer Engineering, Gandhinagar Institute of Technology, Moti-Bhoyan, Gandhinagar.
Published: September 2019

In computer based system, key for the problem of identification, authentication and secrecy can be found in the field of cryptography. Dependence on public key infrastructure and to receive certificates signed by Certificate Authority (CA) to authenticate oneself for exchange of encrypted messages is one of the most significant limitation for the widespread adoption of Public Key Cryptography (PKC) as this process is time engrossing and error prone. Identity based cryptography (IBC) aspires to reduce the certificate and key management overhead of PKC. IBC’s important primordial is Identity-based Encryption (IBE). IBE provided emergent for perception of Identity based signature (IBS) schemes. In this paper, overview of IBE and IBS schemes has been given. Also, a survey on various IBE and IBS schemes has been performed to review different problems related to them. Finally, feasibility and applicability of IBC in current and future environments has been discussed.
Vigilancia en Salud Pública de la Comunidad de Madrid. Semana 36. Año 2019
Authors: Dirección General de Salud Pública Consejería de Sanidad
Published: September 2019

Enfermedades de declaración obligatoria. Brotes epidémicos. Efectos del calor en la salud. Calidad de las aguas de baño.