bluuebunny/crossref_metadata_2025 huggingface dataset:
Bi-Lingual (English, Punjabi) Sarcastic Sentiment Analysis by using Classification Methods
Authors:   percussing M.E in computer science and engineering From Nitttr, Chandigarh also completed her B.tech from HPTU., Attri Ishana , Dutta Dr. Maitreyee ,   Department of Computer Science & Engineering, National Institute of Technical Teachers Training and Research, Sector 26, Chandigarh – 160019, India
Published: October 2019

Sentiment analysis is one of the heated topic in the field of text mining. As the social media data is increased day by day the main need of the data scientists is to classify the data so that it can be further used for decision making or knowledge discovery. Now –a-days everything and everyone available online so to check the latest trends in business or in daily life one must consider the online data. The main focus of sentiment analysis is to focus on positive or negative comments so that a well define picture is created that what is trending or not but the sarcasm manipulates the data as in sarcastic comment negative comment consider as positive because of the presence of positive words in the comment or data so it is necessary to detect the sarcasm in online data . The data on social media is available in various languages so sentiment analysis in regional languages is also a main step . In the proposed work we focus on two languages i.e Punjabi and English. Here we use deep learning based neural networks for the sarcasm detection in English as well as Punjabi language. In the proposed work we consider three datasets i.e. balanced English dataset, Balanced Punjabi Dataset and unbalanced Punjabi dataset. We used six different models to check the accuracy of the classified data the models we used are LSTM with word embedding layer, BiLSTM with , LSTM+LSTM, BiLSTM+BiLSTM, LSTM+BiLSTM, CNN respectively. LSTM provide better accuracy for balanced Punjabi and English dataset i.e. 95.63% and 94.17% respectively. The accuracy for unbalanced Punjabi dataset is provided by BiLSTM i.e.96.31%.
Effect of Speed on Tribological Properties of Graphene Toughned Alumina (Al-G) Composite
Authors:   Department of Mechanical Engineering P.V.P. Siddhartha Institute of Technology, Kanuru, Vijayawada, AP., Vandana K. I. Vishnu , Suman Dr. KNS ,   Department of Mechanical Engineering, Andhra University, Vishakhapatnam, Ap.
Published: October 2019

This research work discusses the influence of different wt% of Graphene addition to Alumina matrix and its impact on mechanical properties such as hardness and wear properties of prepared composites (Al-G). The Al-G composites were prepared using powder metallurgy technique with the help of microwave sintering. The hardness of prepared specimens was tested using the Vickers hardness test for various combinations of Graphene in alumina matrix. The wear behaviour of material is explored using Pin on disk apparatus at various speeds and sliding distances for different wt% of graphene added alumina samples. The weight percentages of graphene vary from 0.1 to 0.4wt% with the interval of 0.1%. It was observed that the presence of graphene in alumina and processed with microwave sintering has a significant effect on wear properties of the Al-G composite. The present work focussed on the improvement in wear resistance through microwave sintering of alumina with the addition of various wt% of graphene. The main aim is to explore best optimum AL-G composition for increased wear resistance.
A Gated Diode DRAM Cell for Improved Power and Speed
Authors:   Department of Electronics Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.., Thakare Mr. Y. N. , Kale Dr. (Mrs.) S. N. ,   Department of Applied Electronics, Sant Gadge Baba Amravati University, Amravati, India.
Published: November 2019

In this paper performance analysis of Gated diode based Dynamic Random Access Memory (GD-DRAM) cell is compare with capacitor based DRAM cell in terms of average power dissipation, propagation delay, read access time and write access time at 250nm technology. The GD-DRAM is also referred as capacitorless DRAM. This gated diode stored data in DRAM which is an alternative solution to capacitor. This gated diode DRAM shows cutback in leakage and access time as compared to capacitor based DRAM. A gated diode is formed by shorting two terminal of MOS transistor i.e. source and drain. When the voltage Vgs is higher than knee voltage Vth; then data get stored on it. Nowadays dynamic random access memory is highly attracting market as compared static RAM because of its high package density, low cost and small area. In this paper this gated diode also resolves the issue of fabrication of capacitor in conventional DRAM cell. The major problem associated with DRAM is power dissipation. The above cells were designed and simulated in Tanner EDA tool and their results were analyzed at 250μm technology. Here we investigated that gated diode based DRAM has superior performance in terms of read time, write time and average power dissipation.
Deadline-Constrained Task Scheduling with Load Balancing in Cloud Computing Environment
Authors:   School of Computer Engineering, KIIT University, Bhubaneswar, India., Patnaik Harish Kumar , Patra Manas Ranjan ,   Department of Computer Science, Berhampur University, Berhampur, India.
Published: October 2019

Cloud computing environment is a conglomeration of computing resources that are maintained to provide a plethora of services to users as utility on a pay-per-use basis. When users request for services, a cloud provider has to allocate relevant computing resources not only to complete a task but also to satisfy the user requirements such as deadlines. This necessitates the design of suitable scheduling algorithm for effective utilization of available resources at the provider’s end. While doing so one of the concerns of the provider is to balance the load uniformly across resources. In this paper, the Max-Min algorithm has been extended by incorporating the concept of free time in order to effectively utilize the cloud resources through load balancing and at the same time meet the deadlines of individual tasks.
Comprehend the Performance of MapReduce Programming model for K-Means algorithm on Hadoop Cluster
Authors:   PhD scholar at Amity Institute of Information Technology, Amity University, Uttar Pradesh, India., Verma Chitresh , Pandey Dr. Rajiv ,   Senior Member IEEE is a Faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, India., Katiyar Dr. Devesh ,   Assistant Professor in Department of Computer Science at Dr. Shakuntala Misra National Rehabilitation University, Lucknow, India.
Published: October 2019

MapReduce is a programming model used for processing Big Data. There are had been considerable research in improvement of performance of MapReduce model. This paper examines performance of MapReduce model based on K Means algorithm inside the Hadoop cluster. Different input size had been taken on various configurations to discover the impact of CPU cores and primary memory size. Results of this evaluation had been shown that the number of cores had maximum impact of the performance of MapReduce model.
Design of Area Efficient Beam Steering Control System for Phased Array Radar
Authors:   Sri, Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India., Ramya S. , Ahamed Shaik Fayaz ,   Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India., Anitha A. ,   Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India., Sunanda K.Naga ,   Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India.
Published: October 2019

Phased array radar architecture consists of the multiple antenna elements that are controlled by the active electronic circuits called T/R modules. Transmit/Receive modules (T/R modules) plays vital role in the modern phased array radar system for different radar applications. The problem asserted with electrically scanned phased array radar suffers from two main limitations. First one is the high hardware cost in terms of area and second one is the design complexity. To overcome the above issues, architecture has been developed by implementing single control unit, distributive memory elements and data control logic to design an area efficient control system. The entire system is implemented on Artix-7 FPGA.
Credit Card User Frequent Buying Predicton Analysis using Cluster Methods
Authors:   M.Phil research scholar of computer Science., Akshaya N. , Santhoshkumar Dr.S. ,   Assistant Professor in Computer Science, Alagappa University, Karaikudi, Tamil Nadu. India, Ramaraj Dr.E. ,   Professor and Head in computer science, Alagappa University, Karaikudi, Tamil Nadu. India
Published: October 2019

Today the world becomes more digital. The cashless transactions are increased in all sectors. The large amounts of data in digital form are generated every day. The companies need to analyze the existing transactions, to predict the user requirements in the future. The payment during the purchase can be done in different modes by the user. In this work, the credit card transactions are analyzed. There are many data mining techniques are used to predict the frequent sets of items during purchase. Data clustering in one of the familiar and widely used technique to identify a similar set of items in a group or dataset. In this work, the two familiar existing techniques k-means and k-mediods are compared with the same datasets. The results show the best clustering algorithm.
Hybrid Bee Colony and Cuckoo Search based centroid initialization for fuzzy c-means clustering in bio-medical image segmentation
Authors:   Professor , Department of MCA , KSR College of Engineering , Namakkal., Vijayakumar Dr.M. , Velmurugan Dr.S. ,   Assistant Professor , Department of ECE , KSR College of Engineering , Namakkal., Mohan Dr.V. ,   Associate Professor , Department of ECE , Saranathan College of Engineering , Tiruchirappalli., Shanmugapriya Dr.P. ,   Associate Professor , Department of ECE , Saranathan College of Engineering , Tiruchirappalli.
Published: October 2019

In current years, the grouping has become well identified for numerous investigators due to several application fields like communication, wireless networking, and biomedical domain and so on. So, much different research has already been made by the investigators to progress an improved system for grouping. One of the familiar investigations is an optimization that has been efficiently applied for grouping. In this paper, propose a method of Hybrid Bee Colony and Cuckoo Search (HBCCS) based centroid initialization for fuzzy c-means clustering (FCM) in bio-medical image segmentation (HBCC-KFCM-BIM). For MRI brain tissue segmentation, KFCM is most preferable technique because of its performance. The major limitation of the conventional KFCM is random centroids initialization because it leads to rising the execution time to reach the best resolution. In order to accelerate the segmentation process, HBCCS is used to adjust the centroids of required clusters. The quantitative measures of results were compared using the metrics are the number of iterations and processing time. The number of iterations and processing of HBCC-KFCM-BIM method take minimum value while compared to conventional KFCM. The HBCC-KFCM-BIM method is very efficient and faster than conventional KFCM for brain tissue segmentation.
Indicators of the Universities Control Activities
Authors:   Doctor of Economic Sciences (Advanced Doctor), Head of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Bulyga Roman P. , Nikiforova Elena V. ,   Doctor of Economic Sciences (Advanced Doctor), Vice Head of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Safonova Irina V. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: October 2019

This article presents a detailed analysis and content of the main objects of control of the university’s activities, such as it's potential, educational and scientific activities, as well as such independent objects of control as educational programs. The composition and general characteristics of the analytical indicators of the university’s control activities are disclosed, such as indicators of assessment of its potential, indicators of control activities of the university as a whole, as well as the implementation progress of its educational programs. The results of the study are reflected in the matrix of control objects of university activities, which can be widely applied as methodological support for building a system for controlling universities' activities
Image Compression for Telemedicine using New Wavelets and Modified EZW
Authors:   Research Scholar, Department of E.C.E, JNTUK Kakinada, Andhra Pradesh, India., Hazarathaiah A. , Rao Dr. B. Prabhakara ,   Retired Rector, Department of E.C.E, JNTUK Kakinada, Andhra Pradesh, India.
Published: October 2019

With the invent of better signal processing operations unveiled by the research community of both communication and signal processing, the Telemedicine is becoming more and more prominent all over the world. Communicating the data captured from the patient to the clinicians in non-recognizable seconds of time is crucial in many cases so as to take a right decision at right time. Then the processing of the data sent to clinicians is the second part of telemedicine where extensive processing capabilities are required. In this paper, the first part of telemedicine is answered by devising diversified schemes using wavelet and modification of standard coding scheme embedded zero tree wavelet (EZW). First, coding by EZW and Set partitioning in Hierarchical tree (SPIHT) was implemented. Then, new wavelets and their lifting versions are designed. Finally, two variations of standard EZW scheme were proposed. The simulation results suggest that the techniques presented in this paper provide better compression performance at different levels of compression ratio (CR) and peak signal to noise ratio (PSNR). In addition to CR and PSNR, bit error rate and output bandwidths are calculated.
Design and Analysis of Piezoelectric Energy Harvesting Systems
Authors:   Assistant. Professor, Department of Electrical Engineering, Amity University Patna, India., Shekhar Ravi , Kumar Dr. Prakash ,   Assistant. Professor, Department of Electrical Engineering, Amity University Patna, India
Published: October 2019

This Paper presents a new technique of electrical energy generation using mechanically excited piezoelectric materials and a nonlinear process. This technique, called double synchronized switch harvesting (DSSH), is derived from the synchronized switch damping (SSD), which is a nonlinear technique previously developed to address the problem of vibration damping on mechanical structures. This technique results in a significant increase of the electromechanical conversion capability of piezoelectric materials. An optimized method of harvesting vibrational energy with a piezoelectric element using a dc–dc converter is presented. In this configuration, the converter regulates the power flow from the piezoelectric element to the desired electronic load. Analysis of the converter in discontinuous current conduction mode results in an expression for the duty cycle-power relationship. Using parameters of the mechanical system, the piezoelectric element, and the converter; the “optimal” duty cycle can be determined where the harvested power is maximized for the level of mechanical excitation. A circuit is proposed which implements this relationship, and experimental results show that the converter increases the harvested power by approximately 365% as compared to when the dc–dc converter is not used.
Design & Construction of Electro-Magnetic Induction based Roads (EMIR)
Authors:   School of Engineering & IT, Manipal Academy of Higher Education Dubai Campus, Dubai, UAE., Poojary Ramaprasad , Crasto Kimberly ,   School of Engineering & IT, Manipal Academy of Higher Education Dubai Campus, Dubai, UAE., Malhotra Navan ,   School of Engineering & IT, Manipal Academy of Higher Education Dubai Campus, Dubai, UAE., Sultan Bilal ,   School of Engineering & IT, Manipal Academy of Higher Education Dubai Campus, Dubai, UAE.
Published: October 2019

Middle-east and especially UAE promotes the use of Electric Vehicles to bring down the carbon emission. Cost of Electric Vehicles (EVs) can be brought down by reducing the cost of its battery. Dynamic charging allows smaller and lighter batteries to be used due to frequent charging, using the charging infrastructure embedded under the roads. Hence this reduces the battery cost and improves the battery life. Reduction in battery cost will bring down the cost of EVs and thus will encourage large population to move toward EVs. This paper presents the design & construction of a prototype EMIR to facilitate dynamic charging of EVs. Aim of this project is to construct 32 feet long and 3 feet wide prototype road with Induction charging facility. Four primary coils with the dimension 164cm x 31 cm with 3 turns and an inductance of 29.1μH are uniformly spaced on the road. Secondary coil of 40 cm x 31 cm with 6 turns with an inductance of 20 μH is attached onto the lower side of the chassis of the EV.
Improvement of Classification and Clustering of Images using Evolutionary Techniques
Authors:   Electronics and Communication, IKGPTU, Kapurthala, India., Gupta Vikas , Malhotra Rahul ,   Electronics and Communication, IKGPTU, Kapurthala, India.
Published: October 2019

Segmentation of medical images is significant as it aids in mining the region of interest, such that the body part under analysis is extracted. Medical image segmentation helps in treatment of diseases, in surgeries and also aids in medical diagnosis. Various performance factors like Volumetric Overlap Error, Relative Volume Difference, Average Symmetric Surface Distance, Root Mean Square Symmetric Surface Distance, Maximum Symmetric Surface Distance. were evaluated which shows that outlier detection technique provides better results as compared to the implementation done without using this technique.
Method for Evaluating the Performance of Radio Paths
Authors:   Doctor of technical sciences. Professor in department of “Information technologies” Tashkent State Technical University, Varisovich Sagatov Miraziz , Bahadirovna Mirzaeva Malika ,   was born in 1988 in Tashkent, Uzbekistan. She has more 20 scientific research papers in the field of telecommunications and mobile systems., Mirazizqizi Khamdamova Sevara ,   Doctoral student. She was born May 27, 1993 year in Tashkent city, Republic of Uzbekistan., Yakubdjanovich Tulyaganov Zoxidjon ,   Assistant. Has more than 10 published scientific works in the form of articles, journals, theses and tutorials.
Published: October 2019

A communication link with retransmission is proposed for assessing the reliability of transmitted messages over composite (radio wired) communication lines. This solves the problem of the feasibility of using a communication repeater.
Design and Simulation of Dual band metamaterial absorber for single junction solar cells
Authors:   Assistant professor, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., John H Victor Du , Moni D Jackuline ,   Professor, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., Philip Sneha Ann ,   2015 batch UG student, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., Sam Joicey Elezabeth ,   2015 batch UG student, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., J Berachah ,   2015 batch UG student, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: October 2019

In this work, a metamaterial absorber is designed with the concept of step impedance resonator (SIR) structure for solar cell applications. The rate of absorption can be improved with the use of metamaterial. The designing concept of the metamaterial and the medium is very important when more efficient properties are needed. This proposed design has the capability to increase the absorption rate over a range of frequency 470THz to 570THz and getting the peak absorption at 520THz. This is a unit cell, consists of three layers, which is the substrate, the intrinsic material and also it consists of the top conducting layer which is filled with other materials. The metamaterial absorber is designed and its parametric study is done in the overall range of frequency 450THz to 750THz with various dimensions and filling materials. The materials like silicon dioxide (SiO2), gallium arsenide (GaAs) and aluminium nitride (AlN) are used as the filling materials with the top conducting layer as it is designed in such a way that can provide better absorption rate. And the variations are represented with the help of absorption and reflection parameters.
Firefly Algorithm based Map Reduce for Large-Scale Data Clustering
Authors:   Department of Computer Science, Pondicherry University, Puducherry, India., Reddy Siva Krishna , Sujatha Pothula ,   Department of Computer Science, Pondicherry University, Puducherry, India., Koti Prasad ,   Department of Computer Science, Saradha Gangadharan College, Puducherry, India.
Published: October 2019

The technological advancement plays a major role in this era of digital world of growing data. Hence, there is a need to analyse the data so as to make good decisions. In the domain of data analytics, clustering is one of the significant tasks. The main difficulty in Map reduce is the clustering of massive amount of dataset. Within a computing cluster, Map Reduce associated with the algorithm such as parallel and distributed methods serve as a main programming model. In this work, Map Reduce-based Firefly algorithm known as MR-FF is projected for clustering the data. It is implemented using a MapReduce model within the Hadoop framework. It is used to enhance the task of clustering as a major role of reducing the sum of Euclidean distance among every instance of data and its belonging centroid of the cluster. The outcome of the experiment exhibits that the projected algorithm is better while dealing with gigantic data, and also outcome maintains the quality of clustering level.
Precursory Response of Low Frequency Signals for Detection of Seismic Rapture in Indian Region
Authors:   Research Scholar, Computer Science and Engineering, Uttarakhand Technical University, Dehradun, India., Katta Vijay Subhash , Kushwah Vinod ,   Department of Physics, Hindustan College of Science and Technology, Mathura, India., Dimri Priti ,   Department of Computer Science and Application, G.B.PANT,Engineering College, Ghurdauri, Pauri, India., Tiwari Rudraksh ,   Department of Physics, Hindustan College of Science and Technology, Mathura, India.
Published: October 2019

Recognition of seismic precursors is exigent task. Its study depends upon the environmental parameters, ground motion emissions (Low frequency signals), geological and tectonic structure. The theory of signal conductivity of two crust model between the epicenter region and above the ground surface calculated the amplitude enhancement of electromagnetic emissions. Extremely low frequency signals generate due to seismic emissions and penetrate the crystal layer to change the earth’s surrounding and upper atmosphere conditions. These outputs are used to correlate the seismogenic VLF signals (f=3 KHz), which are recorded by borehole antenna system. It is observed that the low frequency signals goes to vertically and accumulated as low conductivity medium in the outer most layer through which transmitted to the atmosphere. The seismogenic ULF emissions, DEMETER satellite data, TEC anomalies, ionospheric disturbances and bio-electric amplitude was recorded at places nearby active fault line in Indian region and it is used to recognized the pre- seismic behaviour. We have also observed the stimulus data (solar flux, audio frequency signals, or electric charge emissions) as abnormal signals. These relations are verified and correlated by statistical analysis with null hypothesis testing and power spectrum magnitude which is helping us to understand the precursory signature of earthquakes.
Mechanical Properties of Lime Powder Blended Cementitious Composites
Authors:   School of Civil Engineering, SASTRA Deemed University, Thanjavur, India., Sreekumaran Sreenath , K Kaverikalaimani ,   School of Civil Engineering, SASTRA Deemed University, Thanjavur, India., Mohan K. Saravana Raja ,   School of Civil Engineering, SASTRA Deemed University, Thanjavur, India.
Published: October 2019

Cementitious composites are well known for its reasonable strength and high ductility. The recent trends were in developing High Performance Cementitious Composites (HPC) which possesses better strength and durability properties. For achieving high performance, it consumes more cement and the water-binder ratio will be considerably low. That is, only a part of the total cement content will be taking part in hydration and the remaining will be acting as fillers in the mixes. This study aimed to reduce the cost of the mix by replacing this filler part of the cement by locally available lime powder without compromising its strength. Also, accelerated curing such as steam curing is required for the achievement of high strength at the early stages. In this study, normal water curing was adopted to mimic the actual site conditions. The base mix of the composite was developed by replacing 30% of the cement with lime powder. The mix was then reinforced with 0.5%, 1%, 1.5% and 2% crimped fibres by volume. Strength characteristics were studied along with the resistance to damage under low velocity impact test. It was observed that, under the normal water curing, strength development was at low rate and the 28 day strength was considerably less. Addition of fibres helped in improving strength and the better results were shown by the mix reinforced with 2% steel fibres by volume.
Effect of Cryogenic treatment on Tool Wear, Chip Thickness of Uncoated Carbide Insert during Machining with AISI304 Stainless Steel
Authors:   Department of Mechanical Engineering, School of Engineering and Technology, Jain Deemed-to-be University Bangalore - 562112,Karnataka,India, patil Nagraj , K Gopalakrishna ,   Centre for Incubation Innovation Research and Consultancy, Jyothy Institute of Technology, Bangalore – 560082, Karnataka, India, B Sangmesh ,   Department of Mechanical Engineering, BMS institute of Technology and Management, Avalahalli, Yelahanka, Bangalore-560064, Karnataka, India
Published: October 2019

The cutting tool in the manufacturing industry is a key factor. The fulfilment of machining operation mainly depends on the tool material to improve the cutting life of the tool during machining with austenite stainless steel, however the austenite stainless steel difficult to machine and less amount of heat dissipation during machining in order to overcome. The aim of the investigation is to apply; the cryogenic treatment (CT) to the tungsten carbide insert, besides no study has been claimed on the chip thickness (tc), tool wear of machining with AISI 304. The machining test was conducted by three different speed and unchanged feed rate and depth of cut. The maximum flank wear was measured by using digital microscope also measured the chip thickness for both insert. The experimental results found that to reach the maximum flank wear for CT insert in all three speed was less in comparison with untreated insert (UT), chip thickness was also less in case of CT insert, built up edge were clearly observed in the UT insert, over all CT insert performed more desirable in compared with UT. The improvement in the microstructure properties of the CT insert owing to development of Eta (η) phase carbide and homogenous distribution in the tungsten carbide material, SEM and XRD tests are confirmed these results.
Organizational Commitment and Job Satisfaction in Information Technology Sector
Authors:   KIIT School of Management/ KIIT University/ Bhubaneswar /Odisha/ India., Mohapatra Mitali Das , Satpathy Dr. Ipseeta ,   Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/ Odisha/ India., Patnaik Dr. B.C.M ,   Associate Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/Odisha/ India.
Published: October 2019

The current research has been done to understand the effect of organizational commitment on job satisfaction and to investigate the demographic factors influencing job satisfaction.233 valid questionnaire responses were received from the employees of an Information technology (IT) sector organization situated in Odisha to know the impact of organizational commitment on their job satisfaction level. Correlation analysis was conducted to find out the intercorrelation between job satisfaction and Organizational commitment and regression analysis was done to know the interrelationship between two or more independent variables with the dependant variable. The findings indicated all aspects of organizational commitment were highly correlated with job satisfaction and significantly influenced job satisfaction. Descriptive analysis results showed that advancement opportunities and timely increase in salary and perks constituted the key factors for increase in level of satisfaction of the employees and secondly gender, age and job experience did not have a positive association with job satisfaction. This research also revealed that IT managers must make fair decisions and concentrate on increasing the allied benefits of their employees so that they feel satisfied and contented with their job. They feel motivated and contribute accordingly for the organization. Satisfied employees promote a sense of responsibility towards the smooth functioning of the organization and exhibit Organization Citizenship Behaviour (OCB).
GIS Based Groundwater Vulnerability Assessment using DRASTIC Model at Mahi River Basin, Rajasthan, India
Authors:   M.Tech Student at Centre for Climate Change and Water Research (C3WR), Suresh Gyan Vihar University, Jaipur, Rajasthan, India., Verma Amit , Singh Dr. Suraj Kumar ,   Associate Professor at Centre for Sustainable Development, Suresh Gyan Vihar University, Jaipur, Rajasthan, India., Kanga Dr. Shruti ,   Associate Professor at Centre for Climate Change and Water Research (C3WR), Suresh Gyan Vihar University, Jaipur, Rajasthan, India.
Published: October 2019

Groundwater is one of the important source to humankind, but there has been an increasing load to this precious resource which has become necessary to study it in detail. In the present study such an attempt has been made to account the groundwater vulnerability using as overlay index method, DRASTIC which is used to prepare a vulnerability map using GIS Technique for Mahi river basin, Rajasthan, India. This method accounts for the aquifer parameters like depth to water, net recharge, aquifer media, soil media, impact of vadose zone and hydraulic conductivity. The DRASTIC Vulnerability index (DVI) is calculated as the sum of product of ratings and weights assigned to each of the parameter on the scale of 1 to 10 and 1 to 5 respectively. The vulnerability index is then classified into five different classes and it was deduced that lies as Very Low (20.6 %), Low (28.23 %), Medium (29.11 %), High (18.82 %), and Very High (3.24 %) Vulnerability zones. Further research is conducted in order to assess the general threat to groundwater growth by the multiple industries, showing that the district will quickly collapse into a Exploited Zone, as the present pattern of growth in the agricultural and Industrial sector remains Continued. The map created for the sustainable use of the aquifer can be used as a managerial assessment in order to track and further Preventive Measures can be taken in advance to control the Growth of various Vulnerability Zones.
Technology for Determining the Effectiveness of Represantative Offices of the Companies Abroad
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia., Kevorkova Z.A. , Kosolapova M.V. ,   Financial University under the Government of the Russian Federation, Moscow, Russia, Muravitskaya N.K. ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Amirova R.I. ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Lukyanenko G.I. ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Glebkova I.Y. ,   Financial University under the Government of the Russian Federation, Moscow, Russia.
Published: October 2019

This article reveals the value of statistical data disclosed in the reporting on the sustainable development of economic entities in unstable economic conditions. The principles and methods of preparing reports on sustainable development of economic entities are determined. The fundamental principle of sustainable development is the requirement of the necessary compliance with the criteria of sustainability. According to the concept of sustainable development for economic subjects, it is necessary to form ways of the long term strategic development in order to increase business value taking into account the requirements of socio-economic and environmental responsibility, which determine the priority of providing information including statistical data for conducting the research. The involvement of economic entities in the concentration of sustainable development through reporting for the stakeholders will allow society to get the greatest effect from the activities of such business entities.
GSM Controlled Automatic Medicine Remainder System
Authors:   Research Scholar, Professor, Research Scholar Department of Biomedical Engineering Bharath Institute of Higher Education and Research, Chennai, Kripa N. , Vasuki Dr. R. ,   Research Scholar, Professor, Research Scholar Department of Biomedical Engineering Bharath Institute of Higher Education and Research, Chennai, Kanna R. Kishore ,   Research Scholar, Professor, Research Scholar Department of Biomedical Engineering Bharath Institute of Higher Education and Research, Chennai
Published: October 2019

As individuals develop more established, they depend more vigorously upon outside help for wellbeing evaluation and medicinal consideration. The present medicinal services foundation in later society is broadly viewed as lacking to address the issues of an undeniably more established populace. One arrangement, called maturing set up, is to guarantee that the older can live securely and autonomously in their own homes for whatever length of time that conceivable. For accomplishing this reason the Automatic medicine reminders were included. Programmed automatic medicine reminder is a mechanical methodology which makes a difference individuals age set up by ceaselessly giving medicinal information. The usage of Information and Communication Technologies in the drug stores in the course of the most recent decades has involved the likelihood of utilizing robotized choice emotionally supportive networks creating cautions to push drug specialists to distinguish drug related issues while apportioning medicines [1]. The old and debilitated are regularly endorsed a few prescriptions each with shifting times, for example, measurements sums and times to be taken. Adapting to their current condition is now sufficiently troublesome without being loaded with monitoring distinctive drugs and their dosages. A few items have endeavored to tackle this ever developing issue, yet just the medicine reminder has made standard progress. It is a lot of compartments each with multi day of the week on it. It requires the client consistently to stack the right medicine at the right time into its every day holder. This framework is excessively dependent upon the client. Regardless of whether the prescription is stacked accurately the client still needs to make sure to take the prescription. The Automated Medication Reminder System (AMRS) will altogether enhance the pill take care of by administering to five extraordinary prescriptions, cautioning the client when to take their pills through both sound what's more, visual alerts, showing the medicine timings, and showing the drug names [2].
Comparing Performance of Equity, Balanced and Debt Mutual Funds – Empirical evidences from India
Authors:   Assistant Professor, Amity University Uttar Pradesh, Noida, India, Shreekant Gaurav , Rai R.S. ,   Professor, Decision Sciences, Amity Business School Director – Research, Planning & Statistical Services Amity University Uttar Pradesh, Noida, India, Raman T.V. ,   Professor, Amity University Uttar Pradesh, Noida, India, Bhardwaj Gurendra Nath ,   Professor, NIIT University, Neemrana, Rajasthan, India.
Published: October 2019

In India, one of the broad categorizations of mutual funds is as - equity, balanced, and debt funds, each catering to specific expected return and risk-appetite of investors. Further, it is generally believed that among the aforesaid three categories of funds, Equity funds provide highest returns, followed by balanced funds and debt funds in the given order. However, the risk involved in equity funds is also the higher as compared balanced and debt funds. This paper attempts to empirically compare the returns and risk involved in the aforesaid three broad categories of mutual funds operating in the India over three, five, and ten years time periods. For this, we select three independent samples (of size 60) in each category, namely, equity, balanced, and debt fund. Selection of funds in each category is as per researcher defined criteria. The data on selected schemes is collected from the databases of ‘Value Research India Private Limited’, and AMFI. Measures like annualized returns, standard deviation of returns, Sharpe ratio, and expense ratio are employed to compare the three categories. Hypotheses tests are performed employing single factor ANOVA and Tukey’s HSD test. Based on the evidence gathered, it is observed that over all the three chosen time durations, equity funds have on an average provided superior returns than balanced and debt funds, however, equity funds were also observed to be much more risky than the balanced and debt funds. Therefore for investors ready to take risks in lieu of higher returns, equity funds should be chosen. On the other hand investors who want to play safe with their investments, either balanced or debt funds should be their investment avenues.
On Construction of Hadamard Rhotrix using a Special Type of Mn- Matrix
Authors:   Department of Applied Mathematics, Adama Science and Technology University, PO BOX 1888, Adama, Ethiopia., Nair M. M.
Published: October 2019

The Hadamard matrix H is a square matrix with all the entries +1’s or -1’s which satisfies the property HHT = n In. Rhotrix is a new concept for mathematical enrichment with much scope for research and has a wide range of applications in coding theory and cryptography. Mn–matrix is also a matrix with  1 entry, like the Hadamard matrix, but the orthogonality property is not satisfied. It is shown in this paper that Hadamard matrices and thereby Hadamard rhotrices can be constructed by using a special type of Mn-matrix, named N- matrix, which is a unique approach.
Edge AI System for Pneumonia and Lung Cancer Detection
Authors:   Research Scholar, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh 522510, India., Ponnada Venkata Tulasiramu , Srinivasu Dr.S.V.Naga ,   Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh 522601, India.
Published: October 2019

The fabulous success of machine learning algorithms for medical image analysis lead the computer aided disease detection systems for medical diagnosis. This paper presents a system “Edge AI System for Pneumonia and Lung Cancer Detection (EASPLD)". The EASPLD is a unique and one stop solution to detect Pneumonia and Lung cancer. The system is used as a clinician decision supporting system or user system to detect the pneumonia and lung cancer. EASPLD uses deep learning techniques such as convolution neural network (CNN). The proposed solution uses medical image analysis techniques and or methods to develop the system. EASPLD proposed a CNN (EASPLD-CNN) EASPLD-CNN uses seven convolution layers and one max pool layer with 3x3 and 5x5 convolutions, whereas other proposed solutions uses either 3X3 or 5X5 convolutions. In our paper, we used the lung X-Ray and CT scan images from LIDC-IDRI[1] and Mendeley[2]. EASPLD consists of Input image capturing system (IICS), Image enhancement system (IES), EASPLD engine and Results reporting engine (RRE. The EASPLD system output is notified to the end user, i.e. clinician and or a patient in the form of visual, text and email notification.
An Efficient Methodologies for Data Integrity in Cloud Storage
Authors:   Research Scholar, Department of Computer Science and Engineering, Dr.M.G.R. Educational and Research Institute University, Chennai, India., Jambulingam L , Ananthan T V ,   Professor, Department of Computer Science and Engineering, Dr.M.G.R. Educational and Research Institute University, Chennai, India., Eswaran Sumathy ,   Professor, Department of Computer Science and Engineering, Dr.M.G.R. Educational and Research Institute University, Chennai, India.
Published: October 2019

Majority of the organization uses cloud for storage purpose in order to reduce the cost as well as maintenance. Due to increasing threat from internal and external sources, there would be possibility of corruption in the cloud storage files. Thus the storage must to be monitored periodically for integrity checking. Since most of the Data Owners have limited resources thus the responsibility of integrity checking goes to the Third Party Auditors (TPA). In this paper, we have proposed 2 methodologies of Integrity Checking in Cloud Storage (1) Enhanced Dynamic Hash Tree – n Versions (EDHT-n), which has best performance in term of time and space complexity compared to the existing methods.(2) Hybrid Enhanced Dynamic Hash Tree (HEDHT), which is best suited for very huge number of files in a directory.
Tuning of Yagi Uda Antenna with Gain Enhancement at 300 Mhz and 2.4 Ghz Bands For Wi-Fi Application
Authors:   Electronics and Communication Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan., Subba Bevek , Tenzin Tashi ,   Electronics and Communication Engineering, Tashi Infocomm Limited, Thimphu, Bhutan., Norbu Sangay ,   Electronics and Communication Engineering, Bhutan Telecom Limited, Nganglam, Bhutan., Tobgay Thinley ,   Electrical Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan., Zangmo Tandin ,   Electronics and Communication Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan.
Published: October 2019

In this paper, a tuning of several Yagi-Uda antennas in the frequency range of 300 MHz and 2.4 GHz band for uniform and non-uniform spacing between directors and maintaining this spacing between the elements to enhance the gain is discussed. A Yagi-Uda antenna with closely spaced directors is proposed for achieving appreciable gain as reducing the spacing results in physically compact size. Further, we seek other techniques such as folded dipole Yagi-Uda antenna and increasing the radius of reflector. The computer simulation was performed and results were compared with traditional Yagi-Uda antenna with the aim at tuning it for Wi-Fi application.
Traffic Rule Violation Monitoring and Reporting System
Authors:   Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering, Mylavaram, INDIA., Mavuru Suresh Reddy , Karre Sasi Bhushan ,   Assoc. Professor, Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering, Mylavaram, INDIA.
Published: October 2019

In India Road mishaps are expanding step by step thus there is a need to plan a framework that permits identifying Vehicle moving in the Wrong Route. Physically checking is tedious errand. So to conquer this issue another proposed framework is planned which does not require any human capture. It will discover the vehicle which in Moving in the Wrong Rout and furthermore sends vehicle number to Vehicle client to decrease the opportunity of accidents. In the fundamental streets a portion of the people will picks the alternate way path as the single direction course, Due to this the mishaps may cause. This undertaking comprises of picture preparing for discover vehicle which in Moving in the Wrong Route and discover number plate. Utilizing GSM sent SMS to Control Room. The primary point of this venture is to identify the vehicles which are moving the other way.
Security and Controlling System at Home by using GSM Technology
Authors:   Department of Electronics and Communication Engineering, S R Engineering College, Warangal, India., Kumar M. Anil
Published: October 2019

Home security framework is required for comfort and wellbeing. Security is one of the fundamental worry of the present day. In this present universe of innovative progression legitimate measure ought to be taken to keep up the security and the solace of homes, banks and workplaces. By utilizing legitimate security frameworks billions of rupees spent on offices like fire detachment, police, and so forth can be controlled. With the help of internet electrical devices can be monitored for use which were reported in literature using firmwares. These in turn could be done using Smart Switch. For linking purpose internet is necessary and accessed through computers but all these require programming using internet protocol. The server associated with switch should have the information of the network being used by the user. The mode of operation should be involuntary and data should be entered by the user after selecting the type of safety required. Furthermore, after the necessary things have been sent, the user will have to again start the switch for availing the internet and operate the switch suitably by sending “1/0”. The core of all these is the availability of internet with the user. But in developing countries like India where there is no internet facility or very poor internet speed it becomes very important that an alternate system is also in place i.e, it should also be done with the help of local network without the use of internet. One more drawback with using internet is the server location and date security. It should not be hacked through internet. To avoid these drawbacks we are going to implement these systems by using GSM technology and it works via Short Messaging Service (SMS) based on alert system.