bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Placement of FACTS Devices Based on Whale Optimization Algorithm for Power System Security Enhancement
Authors:   Research Scholar, Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamilnadu, India., Devi* H. Arul , Kannan R. ,   Associate Professor, Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamilnadu, India., Padma S. ,   Associate Professor, Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamilnadu, India.
Published: January 2020

The present-day power system is vulnerable to instability and security threats due to the continuously changing load pattern. To enhance the security of the power system and to avoid the electrical power system from collapsing, the condition of the system security has to be inspected by security analysis tools and it can be enhanced by the proper integration of FACTS devices into the network. This paper presents a methodology in which the security of the system can be analyzed with the help of an index called Line Overload Severity Index (LOSI). Unified Power Flow Controller (UPFC) is preferred to improve the security of the power system. Owing to the cost involved in placing UPFCs it is obligatory to use minimum number of devices, by optimally placing them in the network. It is obligatory to recognize an ideal location to install UPFC. Considering the Line overload Sensitivity Index, the optimal location identification for UPFC is done. The paper also presents the formulation of a new severity function using transmission line loadings. The severity function combines the objectives of reducing transmission line loadings and improvement of voltage profile during multi line contingencies. In the event of multi-line contingencies, the objective function for reducing the fuel cost and the severity function are analyzed. Optimal power flow method is followed to analyze the security of the electrical power system during contingency situations. This optimal location identification procedure and the OPF are solved using a metaheuristic technique, Whale Optimization Algorithm (WOA). The whole methodology that is proposed is experimented on a standard IEEE-30 bus test system.
Prediction of Misclassification Data using Cognitive Bayes Computation Techniques (COBACO)
Authors:   Department of Computer Science, SRM Institute of Science and Technology, Kattankular, Chennai, India, Kanchana* Dr.S.
Published: January 2020

Missing data arise major issues in the large database regarding quantitative analysis. Due to this issues, the inference of the computational process produce bias results, more damage of data, the error rate can increase, and more difficult to accomplish the process of imputation. Prediction of disguised missing data occurs in the large data sets are another major problems in real time operation. Machine learning (ML) techniques to connect with the classification of measurement to enforce the accuracy rate of predictive values. These techniques overcome the various challenges to the problem of losing data. Recent work based on the prediction of misclassification using supervised ML approach; to predict an output for an unseen input with limited parameters in a data set. When increase the size of parameter, then it generates the outcome of less accuracy rate. This article presented a new approach COBACO, an effective supervised machine learning technique. Several strategies describe the classification of predictive techniques for missing data analysis in efficient supervised machine learning techniques. The proposed predictive techniques COBACO generated more precise, accurate results than the other predictive approaches. The Experimental results obtained using both real and synthetic data set show that the proposed approach offers a valuable and promising insight to the problem of prediction of missing information.
Validation of Shadow Effects on Solar Photovoltaic Modules Based on Module Positioning
Authors:   Research Scholar at Centre for Rural Energy, Gandhigram Rural Institute – Deemed to be University, Gandhigram, Tamilnadu, India., Rajaram* Revathy Subbiah , Victor Kirubakaran ,   Assistant Professor at Centre for Rural Energy, Gandhigram Rural Institute – Deemed to be University, Gandhigram, Tamilnadu, India.
Published: January 2020

Solar Energy is one of the cleanest forms of energy harnessed from the sunlight using semiconductors through photoelectric effect. This paper reviews the existing models to study the effect of partial shading conditions or varying irradiance on the solar modules. In this paper a PV module is simulated in Matlab/ Simulink using solar cell block from Simelectronics Library to study the effect of shadows on the output power under different panel positioning under different load conditions. The simulation results have been validated against the real time study and measurements. Both the simulation and experimental results confirm that the power loss due to shading effects in a solar photovoltaic module is influenced by the topology and the interconnection of the PV cells.
Multi Objective Optimization of Fused Deposition Modeling Parameters for PC/ABS Blend Material Parts using GRA
Authors:   Assistant Professor, Department of Mechanical Engineering, Karmaveer Bhaurao Patil College of Engineering, Satara, India., Shaikh* Aamir M. , Salokhe Omkar A. ,   Department of Mechanical-Production Engineering, Shivaji University, Karmaveer Bhaurao Patil College of Engineering, Satara, India.
Published: January 2020

In this research, multi objective optimization is done on Fused Deposition Modeling (FDM) printing machine for Polycarbonate/Acrylonitrile Butadiene Styrene (PC/ABS) blend material parts. Reductions in part build time and material consumption without compromising its dimensional accuracy and mechanical properties are the major goals of many industries, because there is need to fulfil one part with multiple qualities. So that in this research, part printed without support structure by controlling five FDM process parameters at three levels such as layer thickness, raster width, extrusion temperature, bed temperature and printing speed by using Taguchi’s design of experiments method (L27 Orthogonal Array). This research can saves part build time, post processing time on support removal and damages occurred due to removal of support structure in part. For that, in this research effects of parameters are studied on surface roughness, build time, and flatness error of overhang structure of parts. Then Grey Relational Analysis (GRA) methodology is used for multi-objective optimization of FDM parameters to find best set of parameters for three responses. Analysis of Variance (ANOVA) is also used to find out significant parameters for multi responses and then confirmation test of experimental results also performed to verify the optimal settings of FDM parameters. The experimental result showed, layer thickness, raster width and part printing speed have the more significant effects on multiple performance characteristics.
Speed Control of EF2 Resonant Converter Fed PMSM Drive for Fuel Cell Vehicles
Authors:   Assistant Professor, Department of Electrical & Electronics Engineering, NSS College of Engineering, Palakkad (Kerala) India., G.* Renjini , Retd Dr. Devi V. ,   Professor, Department of Electrical & Electronics Engineering, NSS College of Engineering, Palakkad (Kerala) India.
Published: January 2020

Fuel Cell Vehicles (FCV’s) are gaining more attention in the present scenario as it overcomes the disadvantages of internal combustion engine vehicles and electric vehicles. FC technology for automotive applications is an attractive prospect for automotive manufacturers and consumers. But one of the main barriers for the adoption of FCV’s is the increased cost of fuel cell stack. Also the FC stack voltage reduction while accelerating is another problem as power reduces at high speeds with increase in current. This paper presents a 10 hp PMSM drive with reduced size and cost with 8 KW fuel cell stack for FCV applications fed from EF2 resonant converter which improves the dynamic performance and system reliability. The simulation result which validates the enhanced performance is also produced.
The Impact of ICT on Students’ Academic Performance in Public Private Sector Universities of Pakistan
Authors:   Universiti Kebangsaan Malaysia (Malaysia), Ishaq* Kashif , Mat Zin Nor Azan ,   Universiti Kebangsaan Malaysia (Malaysia), Rosdi Fadhilah ,   Universiti Kebangsaan Malaysia (Malaysia), Abid Adnan ,   University of Management and Technology (Pakistan), Ijaz Mustansar ,   University of Management and Technology (Pakistan)
Published: January 2020

In all aspects of life, the use of information and communication technology (ICT), including education, has become common and increasingly important for students. This paper attempts to identify the different effects of ICT on tertiary education. In the study, relation between the use of ICT with students and their academic achievement in public and private academia in Pakistan, investigated. The research proposed the following goals: To find out why students have been given access to ICT services, To explore how many students use ICT and for how long, To describe the connection among the use and academic performance of ICT in students. The study was performed on 300 students using questionnaire and in order to see the rate and find out if there is any association among ICT and students’ academic achievements, Pearson correlation coefficient, and descriptive statistics, used. The results showed that most students had laptops, personal computers, and in universities, they have Internet access. Many students stated, they used ICTs in order to improve their essential skills and to carry out their learning effectively with much involvement. It has also been established that the productive use of ICTs has had a substantial significant impact on the students.
Specific Aspects and Resources of Knowledge-Intensive and High-Tech Productions
Authors:   Associate Professor, Ph. D. in Economics, Associate Professor, Expert in Accounting, Taxation, Analysis and Management, MIREA – Russian Technological University (RTU MIREA), Moscow, Russian Federation, Sergeevna Lebedeva Ekaterina , Borisovna* Nadtochiy Yuliya ,   Associate Professor, Candidate of Pedagogical Sciences, Associate Professor at Department of Economics and Innovation Entrepreneurship, Institute of Economics and Law, MIREA – Russian Technological University (RTU MIREA), Moscow, Russian Federation,
Published: January 2020

It is difficult to overestimate the importance of modern knowledge-intensive and high-tech productions for the economic growth of this country. The knowledge-intensive and high-tech industries are considered to be the basis for innovation-driven development and economic security of any country in the current environment. This article studies specific aspects of development of knowledge-intensive and high-tech productions, results of their functioning and specifics of activities with particular focus on the issues of resource allocation for the research and production activities of modern enterprises in this sector of the economy. The article analyzes the current accumulated problems in the field of resource allocation in order to further identify opportunities for their early resolution. The results of the student survey aimed at studying their opinions concerning the existing technical education problems are presented.
Impedance Behavior of Conducting Piezoresistive Polymer Composite
Authors:   Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Prasad* Brijesh , Rathi Vikas ,   Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Panwar Varij ,   Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Gill Fateh Singh ,   Department of Allied science (Physcics), Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Patil Pravin ,   Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India.
Published: January 2020

Conducting polymers (CP) are used as piezoresistive sensors for the various application of monitoring human and structural health monitoring, flexible electronic devices, automobile, aerospace and for biomedical device applications. In the present work we have developed the polyvinylidene fluoride (PVDF) based CP using Carbon Nano Fiber (CNF). The samples were prepared using the solvent casting technique. The conductivity plays crucial role in improving the sensitivity of the sensors. The impedance behavior of the developed PVDF/CNF membranes was analysed using the E4900A impedance analyzer using the parallel plate probes. The impedance was measured as the function of frequency in the range of 20 Hz-1 MHz. The piezoresistive behavior of PVDF is an important parameter for sensing application. The objective of the present work was to study the impedance spectroscopy of the PVDF/CNF samples. The sample composition of PVDF/CNF (90/10) and PVDF/CNF (85/15) showed better results with lower resistance and higher conductivity.
Mining Public Opinion on Indian Government Policies using R.
Authors:   Department of Computer Sciences, BGSB University, Rajouri, J&K, India., Verma* Pankaj , Jamwal Sanjay ,   Department of Computer Sciences, BGSB University, Rajouri, J&K, India
Published: January 2020

Nowadays, social media monitoring has burgeoned at a very rapid pace, so analyzing social data plays a crucial role in knowing people’s behavior. People share their views regarding trending topics that are occurring around the world. Opinion mining is used for extracting the sentiments from the textual data that are shared by peoples. In this work, we are analyzing Twitter Tweets using sentiment analysis which checks the opinion of people regarding various policies that were announced by the Indian Government. The main objective of the paper is to analyze sentiments of various Indian Government policies (namely Article370, New Motor Vehicles Act 2019, Triple Talaq, Jal Shakti Abhiyan, NRC Assam) on Twitter so that public opinions and views are analyzed. Emotions (anger, trust, fear, anticipation, disgust, sadness, joy, surprise) are analyzed using Emotion-based lexicon technique. Sentiments are classified into two categories (positive and negative) from the emotion lexicon EmoLex. The paper provides a comparative analysis of these policies and this work can act as feedback from people to the government. R programming is used for implementation and visualization.
A Novel Z-blade Reaction Type Turbine for Low Head Low Flow Water Condition
Authors:   Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Basar* Mohd Farriz , Rais Nurul Ashikin Bt Mohd ,   Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
Published: January 2020

This paper discusses the performance characteristics on efficiency and applicability of the test unit under low-head and low-flow condition for a novel Z-blade reaction type hydraulic turbine. Unlike large hydro power system, this technology’s superiority lies in the fact that it can harness electrical energy even from a small stream of water as energy sources and it does not poses any adverse environmental impact. This turbine was developed for an ideal and practical case which investigated applying the principal equations that were derived using the philosophies of conservation of mass, momentum, and energy. Assuming frictional losses factor or k-factor for different operating head, the relationship between rotor diameter, angular speed, flow rate, and power output was plotted and elaborated with allusion to the experimental data. Experiments were carried out at 5m head and below with the water flow rate less than 2.5L/sec, and it was evaluated against theoretical results. The turbine has a capability to achieve high values of rotational speed (up to 500 rpm) with minimal mass flow rate and high efficiency (up to 78%) at low head water condition (5m)
Modelling Simple and Efficient Data Transformation Scheme for Improving Natural Language Processing
Authors:   Assistant Professor, Department of Computer Science & Engineering, BMSITM, Bengaluru, India., J* Shruthi , Swamy Suma ,   Professor, Departement of Computer Science &Engineering, Sir MVIT, Bengaluru, India.
Published: January 2020

The importance of natural language processing cannot be sided in the current era of communication and analytics where data is exponentially growing. Although, there has been various versions and schemes that has evolved in the past decade towards improving the performance of natural language processing, but still the problem towards precisely extracting the actual context is an open ended. Review of existing studies show a large scope of new work towards improving it. Therefore, this manuscript presents a unique simplified approach where natural language processing is carried out with a combined effort of syntactical and semantic based transformation scheme. The study is implemented using analytical methodology while the secondary motive of the work is also to balance the mining performance as well as optimizing storage performance too. The study outcome shows proposed scheme to excel better performance with respect to time duration in all the internal processes being involved for data transformation.
A Research on Cloud Kitchen Prerequisites and Branding Strategies
Authors:   Assistant Professor, School of Hotel and Catering Management, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India., Moyeenudin* H.M. , Anandan R. ,   Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India., Parvez Shaik Javeed ,   Assistant Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India., G Bindu. ,   Assistant Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India.
Published: January 2020

The Emerging trend for smart food delivery is cloud kitchen concept, this is a modern phenomenon in a contemporary scenario around the world, and this concept is developing at the most noteworthy stage with a Compound Annual Growth Rate (CAGR) when contrasted with other slice of food and beverage outlets like Restaurants and fast food outlets. The aim of this study is to analyze demand and requirements of cloud kitchen. Secondly it focuses on the marketing strategy need to be adopted by cloud kitchen. As the fundamental method is to adopt a right branding strategy for cloud kitchen the results proveswith Pearson’s correlation about the requirements as Online APP by (r = .690**, p = .000) is significant with 0.01 level in association and also with online application then web ads with a value(b = .245, p = .000) from linear regression for the reference of online reviews before ordering food.
Identification of Fatal Familial Insomnia Sleep Disorder Using Ga Optimization with Svm Classifier
Authors:   Lecturer, Department of EIE, Govt Polytechnic for Women, Srikakulam, AP, India, Karri* Sudha Ramya , Alli Daisy Rani ,   Assistant Professor, Dept. of IT, Andhra University, Visakhapatnam, AP, India., Rao Annepu Bhujanga ,   Professor, Dept. of IT, Andhra University, Visakhapatnam, AP, India.
Published: January 2020

Among the genetic disorders in brain Fatal familial insomnia (FFI) is one of the rare disorder. The inability of sleeping is called as FFI which leads to the process of becoming progressively worse mentally and physically. The recordings of brain functioning is known as Electroencephalogram (EEG) and which seeks a vital role in observing and finding the sleep disorders like FFI. The EEG senses the brain functionality. In this paper , genetic optimization based SVM classifier is used to identify the sleep disorder. The proposed technique is used to optimize the features which are obtained from features reduction techniques like PCA, ICA and LDA. For performing the experimental results PhysioNet database is obtained. Preprocessing of the data, performing feature reduction, next feature optimization and then classification using Support vector machine is the process for identifying the FFI. The performance measures such as accuracy, sensitivity, specificity, F1-Score, Recall are computed . The comparison of results obtained using different condition are observed and the ranges are determined for normal class, Bruxism class and FFI class.
Enhancing the Bearing Capacity of Pond Ash Soil by Inducing Stone Columns
Authors:   M-Tech Student, Department of Civil Engineering, RIMT University Mandi gobindgarh, Punjab, India., Farooq* Ummer , Sanchar Anuj ,   Assistant Professor, Department Civil Engineering, RIMT, University Punjab, Punjab, India., Kaushal Manish ,   Assistant Professor, Department Civil Engineering, RIMT, University Punjab, Punjab , India.
Published: January 2020

As all of us know that ash pond deposits consist of large compressiblity,less bearing power,that is why large amount of these weak land sections gets abandoned or squandered.These slumy areas have less tangential shear force. As we know our country population is growing day by day.In future ,it will become very difficult to acquire any piece of land for construction of buildings and any other engineering structures.Nowadays many improvement methods for these low quality soils are implementedwhich makes them fit for use for common practices which can be carried out by these soils.As ,this is great area of concern for many highly standard people and other common organisations .On one side growing population with rapid increase and other side lot of sections of land gets trapped up under these ash deposits.A lot of studies and observations have been evaluated about inducing stone columns at plastic Cohesive soils.But yet no such works or observations have been implemented on these weak deposits.So in current study our main efforts relies upon testing these weak deposits of soil individually and after getting upon results from them,we try to observe these weak soils on treating them with some segments of fresh stones and then observe the variations and differences between first and second stages of these testing programmes.
Building Graph for Events and Time in Natural Language Text
Authors:   Department of CSE, Chaithanya Bharathi Institute of Technology(A),Hyderabad, India., Guda* Vanitha , Sanampudi Suresh Kumar ,   Department of IT JNTUCEJ, Nachupally Jagityal Karimnagar,India
Published: January 2020

Events and time are two major key terms in natural language processing due to the various event-oriented tasks these are become an essential terms in information extraction. In natural language processing and information extraction or retrieval event and time leads to several applications like text summaries, documents summaries, and question answering systems. In this paper, we present events-time graph as a new way of construction for event-time based information from text. In this event-time graph nodes are events, whereas edges represent the temporal and co-reference relations between events. In many of the previous researches of natural language processing mainly individually focused on extraction tasks and in domain-specific way but in this work we present extraction and representation of the relationship between events- time by representing with event time graph construction. Our overall system construction is in three-step process that performs event extraction, time extraction, and representing relation extraction. Each step is at a performance level comparable with the state of the art. We present Event extraction on MUC data corpus annotated with events mentions on which we train and evaluate our model. Next, we present time extraction the model of times tested for several news articles from Wikipedia corpus. Next is to represent event time relation by representation by next constructing event time graphs. Finally, we evaluate the overall quality of event graphs with the evaluation metrics and conclude the observations of the entire work.
History of Work with the Staff of Secondary Schools in Uzbekistan (In the case of southern provinces)
Authors:   Independent reseacher of the “History of Uzbekistan” department, Karshi engineering-economics institute, Karshi city Uzbekistan., Akbarovna* Sharopova Nigora
Published: January 2020

the importance of secondary education has been becoming more crucial than ever. Developing countries always pay great deals of attention to this in order to strengthen the quality form the very beginning of the early ages of nation. This article explains the issues of supplying general education schools in Uzbekistan's southern provinces during the years of independence, lack of teachers on the subject, problems of improving pedagogical cadres and ways to overcome them.
An Algorithm for Finding the Optimal Path In Basis Path Testing using GABVIE Model
Authors:   FCA, Manav Rachna international Institute of Research and Studies, Faridabad, India., Sharma* Seema , Bhatia Dr. Shaveta ,   FCA, Manav Rachna international Institute of Research and Studies, Faridabad, India.
Published: January 2020

Software testing is one of the most vital factors in software development life cycle. It is mainly used for testing the program code, known as white box testing and to test the functionality of the program, known as black box testing. Manual generation of test data is very costly, error vulnerable and time consuming task. Subsequently, there is a need to make the process automated as could be expected under the circumstances. This paper presented the automated generation of optimal path with intention of attaining the maximum coverage. The work being done considers the optimal path coverage in minimum cost. The task of generating test cases can be done through the concept Genetic Algorithm with importance of variable (GABVIE). The proposed algorithm additionally considers programs having numerous modules. This is vital as a large portion of the current test data generators not succeeded to establish the communication between the modules. The approach has been implemented on various program code and the outcomes got have been confirmed. The proposed work considers the white box testing.
Ensemble Based Hybrid Recommender Systems
Authors:   Assistant Professor, Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India., Prathima* T. , Anjana B. ,   Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India., Apoorva V. ,   Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India., Sridhar B.R. ,   Assistant Professor, Dept. of Mathematics & Humanities, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India.
Published: January 2020

In the past few years, the advent of computational and prediction technologies has spurred a lot of interest in recommendation research. Content-based recommendation and collaborative filtering are two elementary ways to build recommendation systems. In a content based recommender system, products are described using keywords and a user profile is developed to enlist the type of products the user may like. Widely used Collaborative filtering recommender systems provide recommendations based on similar user preferences. Hybrid recommender systems are a blend of content-based and collaborative techniques to harness their advantages to maximum. Although both these methods have their own advantages, they fail in ‘cold start’ situations where new users or products are introduced to the system, and the system fails to recommend new products as there is no usage history available for these products. In this work we work on MovieLens 100k dataset to recommend movies based on the user preferences. This paper proposes a weighted average method for combining predictions to improve the accuracy of hybrid models. We used standard error as a measure to assign the weights to the classifiers to approximate their participation in predicting the recommendations. The cold start problem is addressed by including demographic data of the user by using three approaches namely Latent Vector Method, Bayesian Weighted Average, and Nearest Neighbor Algorithm.
Tensile and Compressive Behaviour of Solid Glass Microspheres Reinforced LM13 Aluminum Alloy Based Metal Matrix Composites
Authors:   Research scholar, Department of Mechanical Engineering, MANIT, Bhopal, India., Singh* Pankaj , Dixit G. ,   Professor, Department of Mechanical Engineering, MANIT, Bhopal, India.
Published: January 2020

Aluminium compound materials saw to be the best choice with its exceptional utmost of sketching out the novel material for gaining desired properties. Aluminium alloy based composite materials are expanding broad affirmation for aeronautics application in perspective on their high strength combined with low density or light weight. In the present concerned work, an endeavour is put to prepare and focus the tensile and compressive behaviour of Aluminium alloy LM13 and Solid Glass Microspheres (SGM) particulates Composite with perspective to get better properties with light weight. Stir casting method was used to manufacture these aluminium alloy LM13 and SGM particulate composite with 10 v%, 15 v% and 20 v% of reinforcement. Based on ASTM benchmarks, the composite samples were prepared and tested, and the results obtained were then analysed. A notable improvement was perceived in the strength of tensile and compressive capacities of the developed metal matrix composites (MMC).
Design of Low Power Adders in Digital Circuits Suitable for Power Reduction in Multipliers
Authors:   Assistant Professor, Department of ECE, R.M.K. Engineering College, Chennai, India., Babu* S.Jagadeesh , Jawahar Dr.A. ,   Professor, Department of ECE, SSN College of Engineering, Chennai, India.
Published: January 2020

Wireless devices are being evolved at an exponential rate. This evolution is focussing on the development of digital circuits which are incorporated into the processors. The evolutionary process involves individually or a combination of three main objectives namely i) Reduction in size ii) Reduction in power iii) Increase in speed. There is always a trade-off among the above said objectives. In specific multiplying operation inside a processor is one of the core areas where much power is being consumed. On the other hand adders are an integral part in the multiplier circuit. So this work concentrates on designing and analyzing power consumption of five adders namely conventional full adder, 3-transistor XOR based full adder, Gate Diffusion Input (GDI) based full adder, Static Energy Recovery Full (SERF) Adder and full adder using modified XOR gate and finding a resultant low power adder which when implemented for the addition process in multiplier will lead to a reduction in power consumption of multiplier. This in turn reduce the overall power consumption of the processor. The adders are designed using LTSPICE XVII in 180nm technology. The resultant Full Adder using modified XOR gate achieves 61.79% less power compared to conventional full adder and is suitable for multipliers.
Remote Control Trough Internet
Authors:   Department Computer Engineering And Informatic, Politeknik Negeri Medan, Medan, Indonesia., Gunawan* G , Prayudani S ,   Department Computer Engineering And Informatic, Politeknik Negeri Medan, Medan, Indonesia.
Published: January 2020

In this paper will explain the use of the Raspberry Pi as a remote control via the internet. By utilizing a web server that is embedded in the Raspberry Pi Facilitate the design and implementation process. Remote control using the internet is commonly used today Because The microchip has been the development of technology and the internet speed is quite high and stable are available in almost all countries in the world. Benefits of remote control using the Raspberry Pi is that it can save costs for the Raspberry Pi cheaper than devices that include a web server computer. The other advantage is not required input and output devices specifically for the Raspberry Pi is equipped with a GPIO (General Purpose Input Output).
Classification of Historical Documents Based on LBP and LPQ Techniques
Authors:   Department of PG Studies and Research in Computer Science, Gulbarga University, Kalaburagi, Karnataka State, India., Gonasagi Pushpalata , Rumma Shivanand S ,   Department of PG Studies and Research in Computer Science, Gulbarga University, Kalaburagi, Karnataka State, India., Hangrge* Dr. Mallikarjun ,   Department of PG Studies and Research in Computer Science, Karnatak Arts, Science and Commerce College, Bidar, Karnataka State, India.
Published: January 2020

Historical documents are important source for knowing culture, language, social activities, educational system, etc. The historical documents are in different languages and evolved over centuries and transformed to present modern language, classification of documents into various eras, recognition of words etc. In this paper, we have proposed a new approach to automatic identification of the age of the historical handwritten document images based on LBP (Local Binary Pattern) and LPQ (Local Phase Quantization) algorithm. The standard historical handwritten document images named as MPS (Medieval Paleographic Scale) dataset which is publicly available is used to experiment. LBP and LPQ descriptors are used to extract the features of the historical document images. Further, documents are classified based on the discriminating feature values using classifiers namely K-NN (K-Nearest Neighbors) and SVM (Support Vector Machine) classifier. The accuracy of historical handwritten document images by K-NN and SVM are 90.7% and 92.8% respectively.
Estimation of Cholesterol in the Presence of Urea and Other Constituents in Blood Tissue
Authors:   Assistant Prof., Dept. of Electronics, Taleigao Plateau, GU, Goa, India., Nazareth* Ingrid Anne , Parab Jivan ,   Assistant Prof., Dept. of Electronics, Taleigao Plateau, GU, Goa, Gad Rajendra ,   Prof. and Head, Dept. of Electronics, Taleigao Plateau, GU, Goa, India, Naik Gourish ,   Prof. (HAG) and Dean, Dept. of Electronics and Faculty of Natural Sciences, Taleigao Plateau, GU, Goa, India.
Published: January 2020

The determination of cholesterol in pathological laboratories is more painful and may lead to infections if no proper precautions are taken into consideration. The manuscript presented here describes a non-invasive method to estimate blood cholesterol using Radio Frequency (RF) probe signal in the range of 10MHz – 500MHz. The method uses Scalar Network Analyzer and injects RF signal less than -30dbm, which is quite safe for human tissue and the frequency range falls in non-ionizing radiation wavelengths. Due to the absorption of RF signal by various body tissues including cholesterol, the received signal by the spectrum analyzer bears the signatures of percentage of the cholesterol present in the blood. These signatures are then analyzed using multivariate approach to estimate the Cholesterol. The Signal Processing Unit consists of Partial Least Square Regression (PLSR) tool based on the SIMPLS Algorithm. The results show that there is a good agreement between the predicted percentages of Cholesterol as compared to the actual. Though the study here uses only 5 components, the technique can also be used to include other blood components for the estimation of Cholesterol.
Personality Prediction from Stack Overflow by using Naïve Bayes Theorem in Data Mining
Authors:   Department of Information Technology, Galgotias College of Engineering &Technology, Greater Noida, India,, Katiyar* Sandhya , Kumar Sanjay ,   School of Computing Science & Engineering, Galgotias University, Greater Noida, India, Walia Himdweep ,   Amity Institute of Information Technology, Amity University, Noida, India,
Published: January 2020

This paper presents a system that provides an automatic process which defines how to evaluate designation and predict personality of individuals as wel for any jobl. This system is being set up via a web application, where the system manipulates data from social media sites like Twitter and Blog-Forums i.e. “Stack Overflow” of individuals. Myers-Briggs personality type is used for predicting the personality behavior of individuals. The technical skills in the form of raw data have been classified by using Gaussian Naive Bayes classification and for personal behavior; data mining & machine learning are used. This system is used to analyze the personality of an individual and hence using this information to build a team for a job.
Automobile Collision Detection and Avoidance System
Authors:   Dept of ISE, NMAM Institute of Technology, Nitte, Karnataka, India, B* Ashwini , P. S Venugopala ,   Dept of CSE, NMAM Institute of Technology, Nitte, Karnataka, India.
Published: January 2020

Maintaining road safety and safe driving are the challenges faced by the driver. To support the drive, there are on board safety systems mounted in the vehicles. However, these systems display visual messages that distract the driver’s attention from the road. There is a need for a system that can indicate the situations by keeping the attention of the driver on road. This paper is a proposal of a method that can be used to assist the drives while driving by generating the audio output based on the situation. According to research, driver assistance system is a solution for minimizing the time and frequency of drivers moving their eyes off traffic. Different approaches to assist the driver are discussed in this paper along with the challenges involved in executing them. The implementation is carried out using Arduino board and other hardware. The method is tested on samples to generate an audible sound that can be used by the drive to take suitable decision, by keeping eye on the road. This minimizes the need for the driver to look around while driving.
Methods for Determination of the Weight of Documents in Electronic Resources
Authors:   Information Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan,, Kadambayevich* Khujaev Otabek , Botirovna Yusupova Shokhida ,   Information Education Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan,, Rimberganovna Allaberganova Muyassar Allaberganova Muyassar ,   Information Education Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan
Published: January 2020

This paper devoted to the issue of ranking electronic documents for e-government web resources. In the paper also analyzed related works for calculating resource weights in the ranking of web resources in the electronic government system and proposed the use of PageRank algorithm for calculating weight coefficients of web resources. Then is structured calculation steps for PageRank algorithm in e-government environment.
Neural Network Recovery of Gaps in Geomagnetic Field Records
Authors:   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation,, N.A.* Barkhatov , S.E. Revunov ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation, Zh.V. Smirnova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, E. A. Semahin ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation, M. L Gruzdeva ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation
Published: January 2020

The paper demonstrates the capabilities of neural network recovery of ground-based geomagnetic field records at a selected magnetic station using similar magnetic field data at another station. By the example of the restoration of disturbance records made at the magnetic stations Kakioka, Kanoya, Alma-Ata, Hermanius, San Juan, Tucson, Honolulu with and without data from the OMNI satellite system on the parameters of the solar wind and interplanetary magnetic field, it is shown that the technique of artificial neural networks can to successfully fill in the gaps and failures in the records of individual observatories of the global network of magnetic observation stations. The created artificial neural network tool can be used for scientific and applied problems of geomagnetic information recovery.
Acoustic Energy Harvesting Through Multilayer Piezoelectric Harvester Model
Authors:   Research Scholar, ECE Dpt, JNTUH, Hyderabad & Assoc. Professor, Samskruti College of Engg & Tech,Hyderabad, India., Sreenivasulu* M. , Shree Dr. V. Usha ,   Principal & Professor, Dept of ECE, JRBEC, Affiliated to JNTUH, Hyderabad, India., Reddy Dr. P. Chandrasekhar ,   Professor in ECE, BOS Chairman, Dept of ECE, JNTUCE, JNTUH, Hyderabad, India.
Published: January 2020

Low-power requirements of contemporary sensing technology attract research on alternate power sources that can replace batteries. Energy harvesters’ function as power sources for sensors and other low-power devices by transducing the ambient energy into usable electrical form. Energy harvesters absorbing the ambient vibrations that have potential to deliver uninterrupted power to sensing nodes installed in remote and vibration rich environments motivate the research in vibrational energy harvesting. Piezoelectric bimorphs have been demonstrating a pre-eminence in converting the mechanical energy in ambient vibrations into electrical energy. Improving the performance of these harvesters is pivotal, as the energy in ambient vibrations is innately low. In this paper, we propose a mechanism namely Multilayer-PEHM (Piezoelectric Energy Harvester Model) which helps in converting the waste or unused energy into the useful energy. Multilayer-PEHM contains the various layer, which is placed one over the other, each layer is placed with specific element according to their properties and size, the size of the layer plays an important part for achieving efficiency. Furthermore, this paper presents an audit of the energy available in a vibrating source and design for effective transfer of the energy to harvesters, secondly, design of vibration energy harvesters with a focus to enhance their performance, and lastly, identification of key performance metrics influencing conversion efficiencies and scaling analysis for these acoustic harvesters. Typical vibration levels in stationary installations such as surfaces of blowers and ducts, and in mobile platforms such as light and heavy transport vehicles, are determined by measuring the acceleration signal. The frequency content in the signal is determined from the Fast Fourier Transform.
Waste Assessment in an Indian Casting Industry: A step towards Lean Manufacturing
Authors:   Dept. of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India., Thakur* Abhyuday Singh , Patel Sagarkumar ,   Dept. of Mechanical Engineering, G.H. Patel College of Engineering & Technology, Anand, India., Patel Vivek ,   Dept. of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India.
Published: January 2020

In today’s era of globalization, it is essential to ensure that Indian manufacturing industries like casting and metal-working industries which work on stringent conditions of varying customer demands and constant adhering to excellent quality standards are able to flourish in the fiercely competitive environment while keeping the production as economical as possible. Hence, the need arises for continuous improvement in the manufacturing phase of the product by assessing, minimizing, and eliminating wastes of any kind. This study adopts and implements a waste assessment model in a casting industry with the purpose of assessment of wastes and hence, proceed towards a leaner manufacturing set-up. Initially, the quantification of direct relationships between the seven types of wastes was done by forming a waste relationship matrix (WRM). Next, a waste assessment questionnaire (WAQ) consisting of 68 questions, was introduced for the allocation of wastes in the industry. The results of WRM and WAQ were integrated to obtain the ranks of the seven types of wastes in the industry, and it was found that waste of defects was the highest-ranked waste followed by wastes of inventory and overproduction. Process Activity Mapping (PAM) received the highest score (482.79) in the analysis done by Value Stream Analysis Tool (VALSAT), thus, it was chosen as the preferred tool in the current situation. The results of Failure Mode and Effect Analysis (FMEA) of various defects of casting indicated sand inclusions (432) and slag inclusions (336) as the defects having the highest Risk Priority Numbers (RPN).
Static and Harmonic Analysis of Winch Shaft using FEM
Authors:   Asst. Professor, Department of Mechanical Engineering, Adithya College of Engineering, Madanapalle. India., Gopi* Sambaturu , Talakonda Yedukondalu ,   Research Scholar, Department of Mechanical Engineering, JNT University, Anantapur, Ananthapuramu, India., Balachandar G Eswar ,   Research Scholar, Department of Mechanical Engineering, JNT University, Anantapur, Anthapuramu, India.
Published: January 2020

It is not easy to lift the heavy loads with bare ropes or other components. Winches are very useful for various mechanical applications. In this present work, winch shaft is designed and analysed using Finite Element Method (FEM). Catia and Nastran programs are used for the modelling and analysis. Static and Harmonic analysis are carried out on the winch shaft. In static analysis the maximum displacement induced is .009817 mm, hence based on Rigidity, and stresses in Z-direction are observed to be 0.122E -0.7 mm and 158.731 N/mm2 respectively. The maximum stress and fundamental frequencies found are 119.009 MPa and 143.98 Hz. The deflection value from theoretical calculations is 0.013 mm. The mathematical relations are used for the validation of the analysis and found good agreement.
Reflexiones bioéticas acerca de la ancianidad desde el estoicismo de Séneca
Authors: Gómez Álvarez José Enrique
Published: January 2020

El artículo expone cómo el análisis de ciertas obras de Séneca nos muestra a un pensador que concibe la vejez como un estado digno de vivirse. La vejez, tal como la concibe Séneca, puede ser valiosa y sabia, o no, pero no existen características negativas inevitables o «esenciales» de la vejez como las presenta, por ejemplo, Aristóteles. Para lograr lo anterior, en la primera sección se expone el concepto de «vejez» como decadencia, tal como se concibió en ocasiones en la antigüedad griega y romana. En las secciones 2 a 5, utilizando dos categorías estoicas presentadas por Séneca –la relatividad del tiempo y el sometimiento a la razón–, en combinación con temas clave de una ética de la vejez –el trabajo, la muerte, la finitud y la autonomía–, se estudia el valor de la vejez en la obra de este autor. En las conclusiones se expone que el estudio de los textos muestra que Séneca considera la vejez como digna y valiosa en sí misma; que se mantiene en los ámbitos de la razón, y que defiende que la vejez no es necesariamente decadencia de las personas.