bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Examination of Reinforced Concrete Skew Slabs
Authors:   Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India., Boobalan* S. C. , Abirami P. ,   Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India., Indhu K. ,   Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: March 2020

Skew slab structures are frequently investigation used in modern construction in the form of non-orthogonal reinforced concrete slabs supported by skew grid of beams. Skew bridges allow roadway alignments to a huge selection of solutions. Skew slabs contribute to a minimal environmental impact for recent road construction projects. Thus, it is difficult to analyse the skew slab bridges than the right angled bridges. The primary objective of this project is “Numerical Examination of Reinforced Concrete Skew Slab”, is to determine the effect of different arrangement of steel reinforcement in the reinforced concrete skew slabs. For skew slabs, the sides are not orthogonal and so it is a matter of interest to study the effect of different types of reinforcement schemes to arrive at the best arrangement. ANSYS (R.18.1) software was used for the analysis of skew slabs. Except the reinforcement alignment, dimensions are similar in all the skew slabs. For identifying the effective reinforcement pattern in skew slabs, deformation, stress, strain behaviour were studied. By comparing the datas for three types of reinforcement pattern in skew slab, the effective pattern will be observed in pattern having least values in solution. On analysis, the behaviour of different reinforcement pattern for the designed skew slab is studied using ANSYS (R.18.1) and the effective reinforcement pattern is suggested.
Traffic Demands Policies Effect on Congestion, Delay and Fuel Consumption
Authors:   Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan., Tamseh* Amani Al , Karabsheh Eslam Al ,   Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan., Kasassbeh Salam Al ,   Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan.
Published: March 2020

Traffic demands on Jordanian streets have been affected by the increasing human population and the number of vehicles. This study aims to apply transportation demand management (TDM) techniques to improve the level of service (LOS). The study employs both TDM and transportation system management (TSM). In order to investigate what type of strategies to be considered a questionnaire is used. The acceptance degrees of the TDM and TSM groups were measured via the questionnaires using SPSS version 20. The selected policies then are used on a certain location as a study case in Amman city; an intersection is connecting two urban main streets. The used policies have a reduction percentage in traffic demands which is expected throughout an expert panel. The results show that delay and fuel consumption are indeed reduced; however, this does not lead to any considerable improvement in the LOS. The LOS was enhanced when the reduction in traffic demand reached 20% with an increase in capacity achieved by adding 3 new lanes. The fuel consumption and delays were measured to be about 35% less with growth rate of 8% for the coming five years. This study is expected to help popularize TDM policies in place of other solutions so that inexpensive measures can be adopted by the government.
Secure Multiparty Equality Check Based on Homomorphic Cryptosystem
Authors:   Research Scholar at Computer Science and Engineering Department, Mewar University, Chittorgarh, India, Associate Professor at Acropolis Institute of Technology and Research Indore, India, Sheikh Rashid , Mishra Durgesh Kumar ,   Computer Science and Engineering Department, Sri Aurobindo Institute of Technology, Indore, India,
Published: March 2020

There exist many scenarios where multiple parties jointly work on some common project but these parties are not interested to show actual value of data to each other. Here we propose an algorithm where multiple cooperating but distrustful parties can compare their data for equality without disclosing it to one another. This is an improvement over two party comparison algorithm devised earlier by other researchers. The proposed work is suitable for semi honest adversaries who respect rules of the protocol but somehow try to know private values with other parties.
Mind Mapping Method a s a n Effective Tool f or Teaching Database Course
Authors:   Department of Computer Science, Sukkur IBA University, Pakistan, Gilal* Abdul Rehman , Waqas Ahmad ,   Department of Computer Science, Sukkur IBA University, Pakistan., Alsughayyir Aeshah ,   Department of Computer Science, Taibah University, Kingdom of Saudi Arabia., Khan Sajid ,   Department of Computer Science, Sukkur IBA University, Pakistan., Abro Ahsanullah ,   Department of Computer Science, Sukkur IBA University, Pakistan., Omar Mazni ,   School of computing, Universiti Utara Malaysia, Malaysia.
Published: March 2020

Database system (DB) is one of the most important courses in computer science and software engineering disciplines. This course demands expertise in problem-analysis and problem-solving skills. Teaching problem-analysis and problem-solving skills is not an easy job. However, visual or mind mapped teaching methods are found effective during teaching such skills. Hence, the objective of this study is to measure the impact of mind mapping, one of the visual, method in teaching and learning DB course. The empirical data are collected by using experimental research approach. Total 68 students of 4th semester participated in the experiment from DB course offered in computer science and software engineering disciplines. All the students were exposed to descriptive teaching method and mind-mapped teaching method on the course topics. Based on the results, the mind-mapped teaching method is found effective in teaching and learning DB course. Additionally, girl students appeared more effective in yielding positive results than boy students during mind mapped taught classes. Finally, apart from fewer limitations, this study recommends certain future guidelines for better understanding and development in the very topic. For instance, age and culture based mind-mapped analysis may be considered for computer science and software engineering major courses as a future research.
Cardiovascular Disease Prediction and Classification using Modified Teaching Learning Optimization Method
Authors:   Department of Computer Applications, CMS College of Science & Commerce, Coimbatore, India, Rajinikanth N. , Pavithra Dr. L. ,   Department of Computer Science, Dr. N. G. P. Arts & Science College, Coimbatore, India.
Published: March 2020

Cardiovascular disease (CVD) is possibly the greatest reason for casualty and death rate among the number of inhabitants on the planet. Projection of cardiopathy is viewed as one of the most crucial subjects in the area of clinical records exploration. The measure of information in the social insurance industry is massive. The Data mining process transforms the huge range of unrefined medical service data into meaningful information that can lead to erudite decision and projection. Some recent investigations have applied data exploratory procedures too in CVD estimation. However, only very few studies have revealed the elements that play crucial role in envisioning CVDs. It is imperative to opt for the combination of correct and significant elements that can enhance the functioning of the forecasting prototypes. This study aims to ascertain meaningful elements and data mining procedures that can enrich the correctness of foretelling CVDs. Prognostic models were formulated employing distinctive blend of features selection modified teaching learning optimization techniques, SVM and boosting classification. Here the proposed strategy gives high precision outcomes with existing classification.
Gh 24 Bio Generator Power Generating Device
Authors:   Department ofChemical Engineering, Institute of Technology-Dire Dawa University Dire Dawa, Ethiopia., Gebrewbet* Gebrihans Haile , Rao S. Ram Mohan ,   Biological and Chemical Engineering, department, Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia., Sakthivel G. ,   Biological and Chemical Engineering, department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia., Gebreyesus Abadi ,   Biological and Chemical Engineering,department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia., Kahsay G. Solomon ,   Chemical & Biological Engineering department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia.
Published: March 2020

From time to time researcher developed different types of electricity generating device s. Because electricity and home lighting are considered essential for a country’s economic and social developments. GH24 bio generator is a device that converts the chemical energy of waste organic compound into electricity (light) using naturally occurring microorganisms found within the waste. 40 cm height, 20 cm width, 60 cm length, and 3.5 Kg mass prototype was developed. The prototype was composed of four reactor chambers, sample inlet pipe, bridge, gas outlet pipe waste disposal pipe and upper and bottom protective layer. The greenness, simple operation and effective design are characteristic of the devices. Prototype testing was performed using a liquid dough as a sample. A maximum of 3.403 V was generated when the GH24 bio generator prototype operated with 3.5 L of waste liquid dough sample. This renewable energy is given light for 10-12 hr. using one light bulb. The device could be used as an important source of light for people living in off-grid access to electricity area. Other benefits of the device is used to minimizing the health and environmental impact of fuel-based lamps by replaced it.
Performance Analysis of Constrained Device Virtualization Algorithm
Authors:   Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia., Haseeb* Shariq , Hashim Aisha Hassan A. ,   Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia., Khalifa Othman O. ,   Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia., Ismail Ahmad Faris ,   Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia.
Published: March 2020

Internet of Things aims to automate and add intelligence into existing processes by introducing constrained devices such as sensors and actuators. These constrained devices lack in computation and memory resources and are usually battery powered for ease of deployments. Due to their limited capabilities, the constrained devices usually host proprietary protocols, platforms, data formats and data structures for communications and therefore, are unable to communicate with devices from different vendors. This inability leads to interoperability issues in Internet of Things which, is in fact against the spirit of Internet of things which, envisions interconnection of billions of devices and hence, results in an isolated, vendor-locked and close-loop deployments of IoT solutions. Various approaches have been made by the industry and academia to resolve the interoperability issues amongst constrained devices. However, majority of the solutions are at different layers of the communication stack but do not provide a holistic solution for the problem. In more recent research, there have been theoretical proposals to virtualize constrained devices to abstract their data so that its always available to applications. We have adopted this technique in our research to virtualize the entire Internet of Things network so that virtual TCP/IP based protocols can operate on virtual networks for enabling interoperability. This paper proposes the operations of the Constrained Device Virtualization Algorithm and then simulates it in CloudSIM to derive performance results. The paper further highlights open issues for future research in this area.
Analysing Delays of Construction Projects in Western Part of Mumbai: Causes and Effects
Authors:   Assistant Professor, Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Gujjar* Sandeep V. , Sawant Soham ,   Department of Civil and Infrastructure Engineering, Rustomjee Academy for Global Careers, Dahanu road (E), Maharashtra, India affiliated to University of Wolverhampton, UK., Kulkarni Ashish ,   Department of Construction Project Management, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India., R. Chaitali ,   Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India., Khabale Shivani G. ,   Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India., Mane Usha N. ,   Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India., Hunashyal Dr. Anand. M. ,   Associate Professor, Department of Civil Engineering, Visvesvaraya Technological University, KLE Institute of Technology, Hubballi, Karnataka, India.
Published: March 2020

Construction is one of the most important employment sectors in India with very minimal research being done to identify the delay factors and causes that affect the construction Industry. The opinions of the construction professional required for the research was obtained by conduction interviews. A set of questions were circulated between the professionals working on the site to acquire the causes and effects of delays faced by them. To resolve the issues various studies and researches have been done by various researchers. The data analyzed in the research was done by using Relative Important Index (RII) which helpsto categories and rank the causes of delays according to the importance of the causes with respect to its contribution towards time delays, arbitration, litigation, cost overrun and total abandonment. Spearmen’s rank correlation coefficient was used compare the effect of delays between contractors, owners and consultants. In this paper, the research is aimed towards finding the effects of various causes on the various parties on construction sites of coastal parts of Mumbai and methods of minimization of the same.
Various Algorithms & Techniques Driving Data Science for Big Data
Authors:   Associate Professor, Department of CSE, SIR CRR Engineering College, Eluru, India., Krishna Prof. JSVG , Rao Dr. M. Venkateswara ,   Professor, Department of CSE, GITM University, Visakhapatnam, India., Sudhakar Prof. Kattupalli ,   Associate Professor, Department of CSE, PSCMR College of Engineering and Technology, Vijayawada, India.
Published: March 2020

In basic terms, Big Data1 – when joined with Data Science2 – permit chiefs to gauge and survey fundamentally more data about the nuances of their organizations, and to utilize the data in settling on progressively keen choices. In early 2010, during the period when the development of Big Data was truly increasing noteworthy notification all through the 3Data Management industry, said that it "is advancing into the key reason for rivalry." It has now developed, information volumes proceed to develop, and now the inquiry is never again if it's another pattern and what influences it will have, yet how to use Big Data in significant manners for the venture. Information Science has been around for any longer than Big Data, yet it wasn't until the development of information volumes arrived at contemporary levels that Data Science has become an essential part of big business level Data Management.
Swine Influenza Mimicked Optimization (SIMO)
Authors:   Research Scholar, Department of Computer Science and Engineering,IKG Punjab Technical University, Jalandhar, India., Nagpal* Renu , Singh Dr. Parminder ,   Department of IT, Chandigarh Engineering College, Landran, India., Garg Dr. B. P. ,   IKG Punjab Technical University, Jalandhar,India.
Published: March 2020

In this paper, Swine Influenza Model based Optimization (SIMBO) is modified as Swine Influenza mimicked Optimization (SIMO) and explored through the application in the antenna design. Different researchers proposed different optimization techniques and algorithms so that the accuracy of optima will be improved. For fast convergence and better accuracy SIMBO with its variants such as treatment (SIMBOT), vaccination (SIMBOV) and quarantine (SIMBOQ). We have modified Swine Influenza model to propose new technique known as SIMO. In SIMO, health of individuals is improved by synchronizing vaccination, quarantine and treatment. Test 1 and Test 2 are used before vaccine and quarantine respectively to adjust antiviral dose dynamically during its treatment. The additional feature in SIMO such as infection factor control and improve the health of individuals gradually without checking the state/health at every day. SIMO changes solution indirectly during treatment and directly via vaccination and quarantine. The time varying treatment control the health of individuals in defined days such that individual will not feel illness for longer duration. An available closed form formula of equilateral triangular microstrip patch antenna resonant frequency has been used to form the fitness function in order to optimize the dimensional parameters. The proposed technique is used to determine the accurate resonant frequency of equilateral triangular microstrip patch antenna of different dimension. In order to optimize the technique with speedy convergence and effective precision of global optima, this method also used for the optimization of standard benchmark functions.
Image Steganography: Critical Findings through Some Novel Techniques
Authors:   Research Scholar, Department of Computer Engineering, Glocal University, Saharanpur, Uttar Pradesh, India., Nabi Mr. Farooq , Afzal Dr. M. Mazhar ,   Research Guide, Associate Professor & HOD of Computer Engineering Glocal University Saharanpur, Uttar Pradesh, India.
Published: March 2020

Word ’Steganography’ is originated from Greekand has been used in several forms for 2500 years which is a art of hiding confidential data in any digital manner in such a way that no one can concealed it. It has found practise in various section like in military, government, diplomatic, medical, personal and intelligence agencies. This survey paper put the light on the basic of image steganography along with its different techniques and sub-techniques. Cover selection with recent trend ROI (region Of Interest) is highlighted. In addition, different types of Image file used in image steganography and performance parameter are discuss well.
Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks
Authors:   Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India., Poongothai* T. , Jayarajan* K. ,   Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India.
Published: March 2020

Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps.
Design and Implementation of Low Power Delay Locked Loop using Multiplexer Based Phase Frequency Detector
Authors:   Department of Electronics and Communication Engineering, BMS College of Engineering, Autonomous University, Bangalore, India., Gandage* Mr. Vinayak U. , M. B. Dr. Veena ,   Department of Electronics and Communication Engineering, BMS College of Engineering, Autonomous University, Bangalore, India.
Published: March 2020

This paper proposes design and implementation of low power Delay Locked Loop Architecture, with dynamic Multiplexer based Phase Frequency Detector with minimum locking time. Clock and data recovery systems are employed to derive the clocking information to correctly decode the transmitted data at the receiver. Delay Locked Loop is one of the most important clock recovery systems. The DLL architecture is designed using Cadence Virtuoso 180nm Technology with 1.8V power supply. The proposed DLL with Multiplexer based phase frequency detector shows significant reduction in power dissipation by 10% compared to DLL designed using D-FF based PFD and achieves locking state within 10 clock cycles with minimum jitter of 4.84326ps, measured within clock frequency range of 100-250MHz.
Decision Tree and Neural Network Based Hybrid Algorithm for Detecting and Preventing Ddos Attacks in VANETS
Authors:   Computer Science and Engineering, I.K.Gujral Punjab Technical University, Kapurthala, India., Adhikary* Kaushik , Bhushan Shashi ,   Computer Science and Engineering, Chandigarh Group of Colleges, Landran, India., Kumar Sunil ,   Computer Science and Engineering, Maharaja Agrasen University, Baddi, India., Dutta Kamlesh ,   Computer Science and Engineering, National Institute of Technology, Hamirpur, India.
Published: March 2020

The demand of Vehicular Adhoc Networks (VANETs) has been increasing in the area of vehicular and infrastructure communications. It has been felt that there is requirement of sharing of critical information related to safety and traffic management among different types of vehicles in a secure way. To ensure the smooth operation of the network, the availability of network resources is needed. The presence of either malicious vehicles or inaccessibility of network services makes VANET easy target for denial of service (DoS) attacks. The sole purpose of DoS attacks is to prevent the intended users from accessing the available resources and services. When the DoS attack is carried out by multiple vehicles distributed throughout the network, it is referred as Distributed DoS (DDoS) attack. The DDoS attacks are very dangerous and hard to be addressed in real time. The machine learning based DDoS attack detection algorithms have been proposed and presented by the research community in literature. In this paper, a hybrid algorithm of Decision Tree and Neural Network is presented for detecting and preventing different types of DDoS attacks in VANETs with highly efficient results. The simulation based experiments are carried out in order to evaluate and compare the performance of proposed hybrid algorithm with respect to different performance parameters. Based on experiments results, it has been found that the performance of hybrid algorithm has been increased significantly.
A Machine Learning Framework for Profitability Profiling and Dynamic Price Prediction for the New York City Taxi Trips
Authors:   Business Analytics Specialization, Institute of Management, Christ (Deemed to be University), Bangalore, India., S* Shylaja , Vaani M Kannika Nirai ,   Assistant Professor, School of Business and Management, Christ (Deemed to be University). Bangalore, India.
Published: March 2020

The New York City Taxi & Limousine Commission’s (NYC TLC) Yellow cabs are facing increased competition from app-based car services such as Ola, Uber, Didi, Lyft and Grab which is rapidly eating away its revenue and market share. Research work: In response to this, the study proposes to do profitability profiling of the taxi trips to focus on various key aspects that generate more revenue in future, visualization to assess the departure and arrival counts of the trips in various locations based on time of the day to maintain demand and supply equilibrium and also build a dynamic price prediction model to balance both margins as well as conversion rates. Methodology/Techniques used: The NYC TLC yellow taxi trip data is analysed through a cross-industry standard process for data mining (CRISP-DM) methodology. Firstly, the taxi trips are grouped into two profitability segments according to the fare amount, trip duration and trip distance by applying K means clustering. Secondly, spatiotemporal data analysis is carried to assess the demand for taxi trips at various locations at various times of the day. Thirdly, multiple linear regression, decision tree, and random forest models are adopted for dynamic price prediction. The findings of the study are as follows, high profitable segments are characterized by airport pickup and drop trips, Count of trip arrivals to airports are more compared to departures from airports at any time of the day, and further analysis revealed that drivers making only a few numbers of airport trips can earn more revenue compared to making more number of trips in local destinations. Compared to multiple linear regression and decision tree, the random forest regression model is considered to be most reliable for dynamic pricing prediction with an accuracy of 91%. Application of research work: The practical implication of the study is the deployment of a dynamic pricing model that can increase the revenue of the NYC TLC cabs along with balancing margin and conversion rates.
Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique
Authors:   Ph.D Research Scholar, JU, Bangalore, India,, Kumar* B.B.S. , Satyanarayana Dr.P.S. ,   Retd. Professor & HOD, Dept. of ECE, BMSCE, Bangalore, India
Published: March 2020

The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR( Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective measure.
Slope Stability Analysis o f Recycled Concrete Fine Aggregate Stabilized a nd Blended Soils
Authors:   Assistant Professor, Vignana Bharati Engineering College, Hyderabad, Telangana, India., Kumar A. Raj , Bhushan* J. Y. V. Shiva ,   Assistant Professor, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology Hyderabad, Telangana, India.
Published: March 2020

Recycled concrete aggregate (RCA) is one of the major material generated from municipal soild waste industry. In the current study, recycled concrete aggregates are collected from the demolished building. The index and engineering properties of crushed concrete and locally available soil are determined. The study aims at effective reuse of demolition concrete waste as backfill of earth retaining walls. RCA passing through 4.75mm is stabilized by using Cement kiln dust (CKD) and Fly Ash (FA) in various proportions. Red soil is partially replaced by 30%, 50%, and 70% with recycled concrete fine aggregates. A numerical model is developed using limit equilibrium software i.e GeoStudio Slope/w. It is found that 15% CKD and 15% FA is optimum to stabilize the material. In case of blended soils, 30% replacement with RC-FA is found to be optimum
Modeling and Analysis of Piston using Various Pisto n Crown Geometries
Authors:   Post graduate student in the field of mechanical engineering at Methodist College of Engineering and Technology, Hyderabad, India., Rahman* Mohd Abdul , Chander Dr.P.Ravi ,   Assistant Professor, Department of mechanical engineering, Methodist college of engineering and technology, Hyderabad, India., Prasad M. ,   Assistant Professor, Department of mechanical engineering, Methodist college of engineering and technology, Hyderabad, India
Published: March 2020

Piston is the essential part of an IC engine and due to increase in manufacturing of automobiles of various types based on performance and power, the piston of an IC engine is under significant stress which causes wear of the piston. Piston is under mechanical and thermal loads due to combustion of the fuel and generation of high pressure gases. To reduce the damage incurred on an IC piston by the combustion of fuel the crown geometry of the piston can be modified. This reduces the wear incurred on an IC engine piston and increases the life of the IC engine piston. To understand the impact of mechanical loads on the piston static structural analysis has to be performed and to understand the impact of thermal loads, thermal analysis has to be performed. In this paper we have modeled three dimensional pistons with four different crown geometries using CATIA and performed static structural and thermal analysis in ANSYS to find total deformation, equivalent (von-misses) stress, maximum shear stress, temperature and heat flux. So we can find the best crown geometry for the manufacturing of IC engine piston.
Butterfly Shaped Printed Monopole Antenna for Ultra Wide Band Applications
Authors:   M. Tech Scholar from Department of Electronics and Communication Engineering from Engineering College, Ajmer, India, Tak Vinit , Garg* Anurag ,   Assistant Professor in Department of Electronics and Communication Engineering from Engineering College, Ajmer, India, Pareek Aditya ,   M. Tech Scholar from Department of Electronics and Communication Engineering from Engineering College, Ajmer, India
Published: March 2020

In this paper, a microstrip line fed butterfly shaped monopole UWB antenna is proposed for wireless applications. The wings of butterfly shaped monopole antenna is formed by adding two rotated ellipse of same radius symmetrically placed about the centre of feeding line. The proposed antenna exhibits impedance bandwidth of 3.1-11.9 GHz which covers the whole ultra-wideband frequency range from 3.1-10.6 GHz. The performance is characterised in terms of VSWR, radiation patterns, impedance bandwidth and gain. The proposed antenna can be used for various UWB applications like high performance in noisy environment, low transmission power, cost effectiveness and large channel capacity.
Aspect Based Sentiment Analysis for E-Commerce Websites with Visualization through Machine Learning Algorithm
Authors:   Assistant professor in Computer Science and Engineering Department, School of Technology, Bangalore., S* Ms. Nandini , D.P Mr. Yathish. ,   Assistant professor in Computer Science and Engineering Department, School of Technology, Bangalore.
Published: March 2020

E-commerce is evolving at a rapid pace that new doors have been opened for the people to express their emotions towards the products. The opinions of the customers plays an important role in the e-commerce sites. It is practically a tedious job to analyze the opinions of users and form a pros and cons for respective products. This paper develops a solution through machine learning algorithms by pre-processing the reviews based on features of mobile products. This mainly focus on aspect level of opinions which uses SentiWordNet, Natural Language Processing and aggregate scores for analyzing the text reviews. The experimental results provide the visual representation of products which provide better understanding of product reviews rather than reading through long textual reviews which includes strengths and weakness of the product using Naive Bayes algorithm. This results also helps the e-commerce vendors to overcome the weakness of the products and meet the customer expectations.
Cardio Patients are Monitoring the Physical Activities to Reduce Mortality
Authors:   Lecturer, Prince Sultan Military College of Health Sciences, Dhahran, Kingdome of Saudi Arabia., Jebakumar A.Zechariah , Ravanan Dr.R. ,   Joint Director of Collegiate Education, Chennai.
Published: March 2020

Aim - The general well-being, example of overcoming adversity of the primary portion of the twentieth century, at that point the decrease in mortality from coronary illness (CHD) and stroke has been the example of overcoming adversity of the century's most recent 4 decades [9]. Physical movement has been appeared to decrease mortality in a portion reaction design [6]. Current rules prescribe 500–1000 metabolic equal undertaking (MET) - min every seven day stretch of customary physical action. This investigation meant to think about the effect of recreating period body action on death in essential against optional cardiovascular counteraction [4]. Results and Methods: There was a backwards connection among the mortality and the body action level chance in the two gatherings. Advantage in the optional avoidance bunch remained demonstrated towards standpoint more noteworthy excluding such as the essential anticipation gathering [10]: each 500 METER in a week increment in body action brought about a 16% and 9% hazard decrease in mortality in the auxiliary and essential counteraction gatherings, individually (communication P < 0.003). Moreover, while people without CVD profited the most somewhere in the range of 1 and 500 MET for seven day stretch of body activity [2], Advantage of persons through CVD preceded over 500 - 1000 MET in a week [11]. Balanced death, danger based on people by CVD, which played out an elevated equal of body movement (>_1000 MET in a week) remained demonstrated toward remain equivalent toward before lesser then which based on threw partners deprived of CVD [3].
Admissibility of Electronic Evidence under the Indian Evidence Act, 1872
Authors:   Master of Law (Corporate and Commercial Laws), Christ (Deemed to be University), Bengaluru, India., Valecha * Soni Lavin , Bhardwaj Sonika ,   School of Law, Christ (Deemed to be University), Bengaluru, India.
Published: March 2020

Information Technology or computerization is playing a vital role in various fields like business, communication, services, government sector etc. Also it has left its impression on judicial system & existing laws in India. The IT Act made several reforms in regulations such as the Indian Penal Code of 1860, the Indian Proof Act of 1872, the Reserve Bank of India Act of 1934 etc. The word proof can be described as evidence that helps to explain or refute a truth. The information technology Act 2000 is intended to understand the moral sanctity and structure of electronic records, which may include witness testimonies, notes, etc. Some changes are required to accept the electronic records as facts in the Evidence Act. In the light of section 65-A of the Indian Evidence Act, 1872, Indian courts provide electronic records. Section 65 B of the Indian Evidence Act 1872 specifies the framework for the filing of electronic records as evidence. According to Section 65-B of the Indian Evidence Act, 1871, the report shall be considered any data found in the electronic records of the written, discharged or replicated machine system, and may be permitted to provide evidence in any process which continues without the confirmation of the initial. It is era of speedy and faster communication, the use of internet and information technology is common among people. Nevertheless, the admissibility of the Act is subject to different provisions laid down in section 65-B of that act. So, with this paper I will be determining the extent of implementation of amended laws of Information Technology Act, 2000 with reference to Evidence Act, 1872.
Identification of Mind-Set of Students through Web based Basic Psychological Text and Graphical Analysis System
Authors:   Assistant Professor, Department of Political Science, The Assam Royal Global University, (Guwahati), Assam, India., Rizvi Dr. Tabassum
Published: March 2020

In this era of 21st century the most talked subject regarding children is mind-set. According to Carol Dweck, mind-set can predict success in life. It’s an internal voice that keeps you down or lifts you up. It is very important to understand student’s mind-set and mental health, so proper care, inputs, facility and necessary arrangement can be taken at very early stage for uplifting career growth. Mind-set of a person may be guessed from the outlook of the person and from the mental status of the person i.e mentality. Mind-set of a person reflects in psyche, attitude, and ethos. Now, the parameters that influenced mind-set of a person are family members with whom they are born and brought up, behaviour of family members, surroundings environment, situation under which they are born and brought up, facilities provided and friends circle etc. There are two types of mind-set basically resides in students one is growth Mind-set and the other is Fixed Mind-set. It has been observed that for last one decade the number of suicide and depression in students at the age group of 15 to 20 years has increased a lot. State of mind-set is not permanent. The parameters affects positive growth of mind-set can be nullified with some practice and change of habits. Right mind-set can be nourished choosing growth over negativity. Though this research paper, attempt was made to identify the different stages of mind-set of students and problems faced by them which hinders students’ progress and makes them depressed through web based graphical interactive system by using Gradient and Pearson Correlation Co-efficient method.
Assimilation of Principal Component Analysis and Wavelet with Kernel Support Vector Regression for Medium-Term Financial Time Series Forecasting
Authors:   Department of Mathematical Sciences, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, MalaysiaDepartment of Statistics, School of Applied and Natural Sciences Federal Polytechnic Bida (FPB) Niger State Nigeria., Alhassan Baba Gimba , Yusof Fadhilah Binti ,   Department of Mathematical Sciences, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Malaysia., Norrulashikin Siti Mariam ,   Department of Statistics, School of Applied and Natural Sciences Federal Polytechnic Bida (FPB) Niger State Nigeria.
Published: March 2020

Entities and institutional financiers have gained a lot of growth from financial time series forecasting in recent times. But the major challenges of financial time series data are the high noise and complexity of its nature. Researchers in recent times have successfully engaged the application of support vector regression (SVR) to conquer this challenge. In this study principal component analysis (PCA) is applied to extract the low dimensionality and efficient feature information, while wavelet is used to pre-process the extracted features in other to nu1llify the influence of the noise in the features with a KSVR based forecasting model. The analysis is carried out based on the quarterly tax revenue data of 39 years from the first quarter of 1981 to the last quarter of 2016. The forecasting is made for ten quarters ahead. The initial empirical result shows that the multicollinearity has been reduced to zero (0), and the analytic result reveals that the proposed model PCA-W-KSVR outperforms KSVR, PCA-KSVR, and W-KSVR in terms of MAE, MAPE, MSE and RMSE.
Sectoral and Livelihood Vulnerability to Climate Risk in Indian Himalaya: A Case Study of Almora District of Uttarakhand
Authors:   GGS Indraprastha University School of Environment Management, New Delhi, India, Panda Ashish , Gupta Anil Kumar ,   National Institute of Disaster Management, New Delhi, India, Kaur Amarjeet ,   GGS Indraprastha University School of Environment Management, New Delhi, India
Published: March 2020

Climate change impacts the society by aggravating related hazards. India, due to its varied geographical and climatic attributes and diverse socio-economic reasons, faces almost all kinds of disasters distantly or closely related to change in climates. Regions of Indian Himalaya, especially in Uttarakhand, are known to suffer the brunt of climate or water related disasters very frequently e.g. 2013’s devastating flash flood at Kedarnath, Uttarakhand. India is a signatory of the Sendai Framework for Disaster Risk Reduction and has hosted the 7 th Asian Ministerial Conference on Disaster Risk Reduction (AMCDRR) and organized its 2nd National Platform on Disaster Risk Reduction (NPDRR) during recent years (2015, 2016). These policy regimes advocate climate resilient development through policy planning and grassroots implementation of programmes. Objective of this study is to analyze climatic data projections and risks with regard to extreme events in Almora District, Uttarakhand, India, through learning sectoral and livelihood vulnerabilities of this region. Methodology involved policy and vulnerability analysis through structured and semi-structured questionnaires, focus group discussion and shared learning, with key line Departments and key stakeholders. Study revealed a range of precipitation and temperature level changes and linkages with increase in disaster related losses and damages. Key Sectoral Vulnerabilities & livelihood challenges have been identified in the Almora District. Paper suggests a policy analysis framework and integration of climate resilience and disaster management into development paradigms through plans, policies and processes of key sectors and departments.
The Effect of Work Enjoyment and Work-life Balance on Organizational Citizenship Behavior with Job Satisfaction as Mediator
Authors:   Master of Psychology Profession, Ahmad Dahlan University, Yogyakarta, Indonesia., Erdianza Noor , Tentama* Fatwa ,   Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia, Sari Erita Yuliasesti Diah ,   Master of Psychology Preofession, Ahmad Dahlan University, Yogyakarta, Indonesia.
Published: March 2020

The purpose of this study was to examine the effect of work enjoyment and work-life balance on organizational citizenship behavior (OCB) with job satisfaction as a mediator in property companies. This study designed an organizational citizenship behavior model, hence Model testing consists of the Outer and Inner models with the help of the Smart PLS 3.0 program. Data collection methods in the study used the scale of organizational citizenship behavior, job satisfaction, work enjoyment, and work-life balance. Research subjects were 104 employees at property companies. The analysis showed that the organizational citizenship behavior model that was designed was fit based on a GoF value of 0.78, then it was found that there was no effect of work enjoyment on organizational citizenship behavior with job satisfaction as a mediator; there is an effect of work-life balance on organizational citizenship behavior with job satisfaction as a mediator; there is an influence of work enjoyment on organizational citizenship behavior; there is an effect of work-life balance on organizational citizenship behavior; there is an influence of job satisfaction on organizational citizenship behavior; there is no effect of work enjoyment on job satisfaction; and there is an effect of work-life balance on job satisfaction.
Evaluation of the implementation of University Social Responsibility in Morocco
Authors:   Assistant Professor of Higher Education, Polydisciplinary Faculty of Errachidia, Moulay Ismail University - Meknes – Morocco., Mili Samira , Bouayad Abdelrhani ,   Professor of Higher Education and Dean of the Faculty of Law, Economics and Social Sciences, Moulay Ismail University - Meknes – Morocco, Lahrech Abdelali ,   Professor of Higher Education, Faculty of Law, Economics and Social Sciences, Moulay Ismail University - Meknes – Morocco
Published: March 2020

Moroccan society is going through a series of transformations in its relations between institutions and the community; in this context, the university, starting from its university mission centered on training and investigation for the development of knowledge, promotes a major involvement concerning the needs of society, known as university social responsibility (USR). Indeed, lately we often approach the theme of "social responsibility" as an ethical dimension that each organization or institution should adopt, integrate and promote in its daily activity. The business world has obviously welcomed and developed the idea for a long time, however thinking about social responsibility has only just begun in universities, especially those in Morocco. This article aims to examine the current situation of the integration of USR practices within Cadi Ayyad University ranked first according to World University Rankings of 2019 and based on indicators developed by the model of Pacto Global Red Colombia of 2018 The results obtained demonstrate that despite the efforts made in this direction, the Moroccan University is in an embryonic stage compared to European universities.
The State of Education in Malkangiri District of Odisha and Its Impact on the Human Capital Development
Authors:   Research Scholar, School of Humanities, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha., Parida Ms. Subhra
Published: March 2020

Education is not the basis for civilization, it is civilization (Jay Newman, 1977) [1]. To be precise Civilization is the form of development of a community with the changing times evolving psychologically and intellectually at the same time. Education forms the basis on which the community evolves. There is no denying that education can elevate a person’s standard of living which includes health, employment prospects, and income. While states like Kerala, Andhra Pradesh and Gujarat have definitely shown tremendous growth in literacy rate, States like Odisha and Bihar are still struggling to keep pace with them. Odisha has devised numerous programmes in order to fast-track the literacy rate. According to Census 2011 the literacy rate of Odisha rose to 72.9%. Male and female literacy rates are 83.2% and 67.8% respectively. According to the Human Development Index (HDI) 2017 [2] India scored around 0.640 ranking 130nd among 189 countries while Odisha scored 0.597 and ranked 32nd out of the enlisted 36 States and Union Territories. Despite all the efforts the State was placed among the last 5 positions in the hierarchy. One of the reasons behind this disparity is because of the 8 most backward districts of the country constituting this state. Nuapada, Malkangiri, Nabarangpur, Boudh, Mayurbhanj, Gajapati, Kandhamal, Kalahandi are those 8 rundown districts which demand immediate attention. The HDI of these districts range between 0.12-0.15 making them least developed districts as far Human Capital is concerned. This paper will analyse the nuances of low education level in one of the most backward district of Odisha known as Malkangiri with that of the discrepancies faced by the residents and provide reasonable solution for it.