bluuebunny/crossref_metadata_2025 huggingface dataset:
Modified Master Key Based Multipath Reinforcement Pre-Distribution Scheme for Wireless Sensor Networks
Authors:   Professor and Head, Department of ECE, Hindusthan Institute of Technology, Coimbatore, Paulchamy Dr.B. , Jaya Dr.J. ,   Principal, Akshaya College of Engineering & Technology, Coimbatore, Kalpana K. ,   Associate Professor, Department of ECE. Hindusthan institute of technology, Coimbatore
Published: August 2019

Wireless Sensor Network (WSN) is one of the budding fields of technology. It is mainly used for Environmental monitoring and Data accumulation. Due to the limited energy in WSNs, it faces many practical difficulties. The main challenge is the security issues. Objective of this project is to provide security against clone attack in a WSN that are arranged in cluster topology. In this paper, a method to implement three important security measures namely i) Master – Key Pre-distribution solutions, ii) Super imposed disjunct matrix code and iii) Multipath key reinforcement scheme is discussed. One method complements the advantage of other method and thus provides high security. The final analysis shows that the computational overhead is minimum.
The Spectrum Sensing and Path Optimization Techniques in Cognitive Radio Networks
Authors:   Department of CSE ,KLEF , Vaddeswaram , Guntur Dt , Andhra Pradesh , India, Gadiparthi Chandrika , Bathina Manasa ,   Department of CSE ,KLEF , Vaddeswaram , Guntur Dt , Andhra Pradesh , India, Emani Supriya ,   Department of CSE ,KLEF , Vaddeswaram , Guntur Dt , Andhra Pradesh , India, Padyala Venkata Vara Prasad ,   Department of CSE ,KLEF , Vaddeswaram , Guntur Dt , Andhra Pradesh , India
Published: August 2019

Cognitive Radio (CR) is a versatile, insightful radio and system innovation that can naturally recognize accessible directs in a remote range and change transmission parameters empowering more interchanges to run simultaneously and furthermore improve radio working conduct. The primary thought of the intellectual system is to give the range band to the unlicensed clients without making any damage to the earth. By utilizing the recurrence range band, we came to utilization of these intellectual systems. Right off the bat, we have to frame the system through any methodologies .we are utilizing optimization Mechanisms for path identification in cognitive Radio.
GEVD Based on Multichannel Wiener Filter for Removal of EEG Artifacts
Authors:   Assistant Professor, Department of ECE , Sumathi Reddy Institute of Technology for Women, Warangal, Telangana, India,, Merugu Shyamsunder , Kumar Dr. J. Tarun ,   Assistant Professor, Department of ECE, 3Sumathi Reddy Institute of Technology for Women, Warangal, Telangana, India,, Srinivas K. ,   Assistant Professor, Department of ECE, Sumathi Reddy Institute of Technology for Women, Warangal, Telangana, India,
Published: August 2019

The electroencephalography (EEG) signals are contaminated by ocular artifacts usually called as ElectroOculoGraphy(EOG) artifacts. This occurs due to an eye movement and repeatedly blinking eyes, it is a major barrier to overcome when analyzing ElectroEncephaloGram (EEG) data. In this paper, Generalized Eigen Value Decomposition (GEVD) algorithm based on Multichannel Wiener filter (MWF) was proposed. In the GEVD algorithm, the covariance matrix of the artifact is identified and substituted by low rank approximation. For both real and hybrid EEG data is demonstrated using this algorithm and also compared with other existing methods for removal of artifacts. This paper determines generic, robust and fast algorithm for artifact removal of various types of EEG signals. Signal to Error Ratio (SER) and Artifact to Residue Ratio (ARR) both are expressed in dBs. The better performance of artifact removal is expressed with high SER which measures clean EEG distortion and ARR measures the artifact estimation.
Design and Fabrication of Magnetic Drive System
Authors:   student scholar, Vidyavardhaka College of Engineering, Mysore, India., A.R Abhishek. , H.R Chinmaya Murthy. ,   student scholar, Vidyavardhaka College of Engineering, Mysore, India., D Kushal. ,   student scholar, Vidyavardhaka College of Engineering, Mysore, India., M.S Mayur. ,   student scholar, Vidyavardhaka College of Engineering, Mysore, India., N Raghu. ,   Associate professor, Vidyavardhaka College of Engineering, Mysore, India., G Deepak. ,   Associate professor, Vidyavardhaka College of Engineering, Mysore, India.
Published: August 2019

A drive system is used to transmit the power from input to the output shaft. The contact between the meshing components will lead to loss of energy due to the friction between them. This paper aims at the design and fabrication of a magnetic friction-less drive system aiming at increasing the efficiency of the drive by minimizing the friction. Presently the system is designed for low speeds. However, theoretical implementation of this in high speed applications is suggested in this paper.
Routing Protocol for Clustered Bee-Ad Hoc MANETS with Proper node Utilization
Authors:   Associate Professor, Department of Electronics and Communication Engineering Sapthagiri College of Engineering, Bengaluru, India., Mohapatra Dr. Sasmita
Published: August 2019

Making MANETs energy efficient has been a biggest challenge from many years. In this regard in the previous works routing protocols have been introduced for stabilized clustering scheme with swarm intelligence where the MANETs are made energy efficient with well balanced multipath routing protocols. But in all the proposed protocols the cluster structures are non overlapping where there is a probability that some of the nodes may be left without any consideration in the clusters of MANET as nodes are highly dynamic in nature. These nodes usually do not belong to any of the clusters thus cannot take part in the routing process unless cluster splitting takes place. In that case certain time error may occur if any such kind of node carries any special information. For that the clusters may be made overlapping but in that case number of clusters may increase leading to complicated structure where efficiency may decrease suddenly in case of node movement or failure. For this a novel clustering and routing procedure has been introduced in the paper where not only all the nodes take part in data transmission but also number of clusters are minimized to improve efficiency. The work has been carried by using NS-2 simulator.
EeadSelfCloud: Energy Efficient Adaptive Depth Self Cloud Mechanism for VM Migration in Data Centers
Authors:   Research Scholar, Department of Computer Science, Jain University, Jason Sebagenzi , R. Suchithra ,   PhD, Department MSc IT, Jain University.
Published: August 2019

Cloud computing, with its great potential in low cost and demanding services, is a good computing platform. Modern data centers for cloud computing are facing the difficulty of consistently increasing complexity because of the expanding quantity of clients and their enlarging resource demands. A great deal of efforts are currently focused on giving the cloud framework with autonomic behavior , so it can take decision about virtual machine (VM) management over the datacenter without intervention of human beings. Most of the self-organizing solutions results in eager migration, which attempts to diminish the amount of working servers virtual machines. These self-organizing resolution produce needless migration due to unpredictable workload. So also it consume huge amounts of electrical energy during unnecessary migration process. To overcome this issue, this project develop one novel VM migration scheme called eeadSelfCloud. The proposed schema is used to change the virtual machine in a cloud center that requires a lot of factors, such as basic requirements for resources during virtual machine setup, dynamic resource allocation, top software loading, software execution, and power saving at the Data Center. Data Center Utilization, Average Node Utilization, Request Rejection Ration, Number of Hop Count and Power Consumption are taken as constraint for measuring the proposed approach. The analysis report depicted that the proposed approach performs best than the other existing approaches.
Strength Properties of Nano Silica Recycled Sustainable Concrete
Authors:   Department of Civil Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India., Yuvaraj Dr. S. , Anish V. ,   Department of Civil Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: August 2019

This experiment highlights the salient features of concrete under nanotechnology. Concrete production requires huge amount of cement and aggregates which eventually increases carbon emission and contaminates environment. Hence, incorporation of ‘F’ class fly ash which is partially replaced for cement, recycled aggregate and cactus gel can be done which can reduce dumping issues, carbon emission and cost. However, incorporation of fly ash in ordinary Portland cement deviates its strength consequently. Hence, Nano-silica can be added as an additive to fill up the deviation, thereby increasing its workability and improving the strengthening factor of concrete. In this paper mineral admixture such as Nano-silica were used to increase the strength of concrete and natural polymer substances such as cactus jelly is used to increase the workability of concrete. For the binding material cement were replaced with the fly-ash at the percentage of 60% respectively and for the coarse aggregate quarry aggregate has been replaced with recycled aggregate with the proportion of 40% and 60% respectively. In the investigation three specimens were casted say conventional, replacement of 60% and replacement of 60% with Nano silica and cactus extract solution. The result of compressive and flexural strength were compared. The aim of this experiment is to maintain the economy and environmental effect.
An Optimal Filter to Reduce BER Utilizing RLS and Firefly
Authors:   Department of Electronics and Communication Engineering , Baddi University of Emerging Sciences and Technology, Makhnumajra, Baddi, Solan(H.P), India., Katwal Swati , Bhatia Vinay ,   Department of Electronics and Communication Engineering, Chandigarh Engineering College, Landran, Mohali(Punjab), India.
Published: August 2019

Data communication network suffers due to symbol interference and un-optimized channel response. In recent years faster communication architectures like OFDM were designed to transmit the data as fast as and compatible with modern day communication devices. In order to utilize the channel efficiently, data should be filtered and precise. Swarm Intelligence based recursive least square algorithm has been developed utilizing Extended Firefly Algorithm for the geometric transformation of the data. The optimized filtered data has been cross-verified using Support Vector Machine approach. The permutation matrix of proposed work has been compared with results obtained using Kalman filtering. Results demonstrate that if a filter is designed significantly relative to the single objective function of the optimization algorithm, it generates quite good estimates. The performance of the proposed structure is evaluated using Bit Error Rate and Average Logarithmic Error measures
Optimized S-box and Mix-Columns for AES Architecture for live IP video Encryption and Decryption by Key Generation Through face Recognition
Authors:   Associate Professor in Department of Electronics and Communication, BMS College of Engineering, Bangalore, India, Murthy Dr. Jayanthi K , N S Sneha ,   Department of Electronics and Communication, BMS College of Engineering, Bengaluru, India.
Published: August 2019

This paper proposes an AES based Encryption and Decryption of a live IP video used for security in surveillance systems. Here, the key is generated based on neural networks techniques for facial recognition. Principal component analysis and Eigen vector algorithms are used to extract biometric facial features which are used to train the neural network. At the receiver side, the original video plays only if the user is authenticated or else it plays an encrypted video. This work proposes an AES architecture based on optimizing timing in terms of adding inner and outer pipeline registers for each round and Key Expansions. Further by optimizing the Crypto Multiplication for Mix columns via LUT based approach aid in further optimization in terms of timing. LUT and Pipelined based implementation techniques are optimal for FPGA based implementations. ROM table and pipelining are the two techniques used to implement AES. Result indicates that with the combination of pipelined architecture and Distributed/Split LUT-Pipelined techniques, the encryption has higher throughput and speed.
Analytical Modeling and Simulation of Nanoscale Fully Depleted Dual Metal Gate SOI MOSFET
Authors:   Electronics Engineering Department, J.C.BOSE University of Science & Technology, Faridabad, Haryana, India., Kumar Prashant , Vashishath Munish ,   Electronics Engineering Department, J.C.BOSE University of Science & Technology, Faridabad, Haryana, India., Bansal P.K. ,   Electronics Engineering Department, MIMIT, Malout, Punjab, India.
Published: August 2019

The demand and development of scaled semiconductors devices for upcoming challenges in VLSI technology is unending. CMOS technology plays a very important role in fulfilling this criterion. The conventional MOSFET exhibits short channel effects (SCE) and performance degradation when scaled down in the nanometer regime. In order to meet the required enhanced performance and to further increase the device density new materials and new device structures have been developed. This paper analyses the performance characteristics of one of such improved device structure i.e Fully Depleted Silicon over Insulator (FDSOI) which also incorporate the gate having two metals of different work function specifically called Dual Material Gate (DMG) SOI MOSFET. The analytical modeling for this device structure has also been carried out. The simulation characteristics match closely with analytical results and as the surface potential profile of the device has step function in ensures that this device effectively reduces the SCE.
Development of Ozone Prediction Model in Urban Area
Authors:   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia, Abdullah Samsuri ,   Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ahmad Nasir Najihah Husna ,   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ismail Marzuki ,   Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ahmed Ali Najah ,   Faculty of Engineering, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Institute of Engineering Infrastructures, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia., Khasbi Jarkoni Mohamad Nor ,   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
Published: August 2019

One of the main challenges for countries in tropical area such as Malaysia is the high concentration of ozone (O3) caused by elevated levels of anthropogenic and natural ozone precursors. In this study, variation of O3 concentrations in urban area (Klang) was investigated using data covering three-year period (2012–2015) on hourly basis. Result shows that the diurnal cycle of ozone concentration has a mid-day peak (1400hrs) while lower concentration occurs at night time (2100hrs) as it titrates nitrogen dioxide (NO2). There exists statistically significant difference (p<0.05) of O3 concentration at study areas. Moderate Spearman correlation coefficient was evaluated between O3 and NO2 (r=0.45, p<0.05). Multiple linear regression (MLR) model was developed and signifies that nitrogen oxides (NO), relative humidity (RH), NO2, carbon monoxide (CO), wind speed (WS), temperature (T) and sulphur dioxide (SO2) are the significant predictors for O3 concentration. This study suggests that the emission of O3 precursors, particularly NOx from motor vehicles, needs to be controlled to reduce the incidence of high O3 levels in Malaysia.
A Post-Processing Algorithm for Spatial Domain Detection & Removal of Alocking Artifacts
Authors:   ECE, Ph.D Research Scholar, IKG-Punjab Technical university, Jalandhar, India., Gandam Anudeep , Sidhu Dr. Jagroop Singh ,   ECE, DAVIET, Jalandhar, India.
Published: August 2019

Block based Discrete Cosine Transform (BDCT) is commonly used to detect and remove blocking artifacts in the compressed images. We proposed spatial domain post processing algorithm with four fold model. In the initial stage, pixel vector (PV) is calculated for horizontal as well as vertical block boundaries, after defining PV calculation of different threshold values is made for extracting blocking artifacts. These thresholds are basically adaptive to the image quality due to strong correlation with the PV. To avoid ringing artifacts across block edges directional filter is proposed. Our research further worked on region classification based upon activity of PV within the blocks. Based upon different PV activity regions separate filters are used to achieve best filtering and finally Symmetrical Pixel Normalization filter (SPN Filter) is used to normalize the values of symmetrical pixel value for better visual performance . Proposed technique various indices like PSNR, MSSIM, GBIM are calculated and compare with different post processing techniques used in literature
Application of Graphs in Security
Authors:   Assistant Professor, Dept. of Computer Science, Vivekananda Mission Mahavidyalaya, Vidyasagar University, India., Sensarma Debajit , Sarma Samar Sen ,   Professor, Dept. of Computer Science & Engineering, University of Calcutta Kolkata, India.
Published: August 2019

Now-a-days in the era of Big Data huge information is gathered in every second. Humans are now already interconnected via smart phones, gadgets, smart meters and other smart appliances. Also all these computing devices are fully connected to each other and this is known as “Internet of Things” which produces crucial information in every moment. These sensitive information needs to be protected. So, design of a good security mechanism is needed to provide protection against unauthorized attacks on this information. This article mainly takes cryptography and graph as a tool and concentrated on designing two public key encryption scheme based on graph where the first protocol is based on properties of matrices generated from graph. The aim is to protect the message graph generated from a given message. The second protocol is based on the properties of graphical codes.
The role of self-regulated learning Strategies on learners’ Satisfaction in Massive Open Online Course (MOOC): Evidence from Malaysia MOOC
Authors:   Faculty of Human Development, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Md Zalli Mohd Muslim , Nordin Hasniza ,   School of Education and Modern Languages, Universiti Utara Malaysia, Kedah, Malaysia., Hashim Rosna Awang ,   School of Education and Modern Languages, Universiti Utara Malaysia, Kedah, Malaysia.
Published: August 2019

Learning in Massive Open Online Courses (MOOCs) necessitates learners to be capable of self-regulating their learning in order to oversee and adapt their behaviour and actions in certain learning settings. Studies have highlighted that learners who have good control of self-regulation in their learning, either formal or informal learning contexts, utilise more competent learning strategies in online learning context. Nevertheless, MOOCs attract a diverse range of learners, each with different experience and satisfaction. The aim of this study is to examine the role of self-regulated learning (SRL) and its components (time management, planning, self-evaluation, and help-seeking) on learners’ satisfaction in MOOC. Data were collected from 281 learners of a Malaysia MOOC namely Asas Keusahawanan (Introduction to Entrepreneurship), in the second semester of the Malaysian universities academic calendar. A cross-sectional web-based survey was applied and a Partial Least Square (PLS) approach was use for analysing data. Findings indicated that all of SRL components except help-seeking are important factors for explaining learners’ satisfaction in a MOOC. This study provides useful suggestions for the course designers of MOOCs platforms, and the facilitators in engaging learners with suitable SRL strategies and increase the level of course satisfaction.
Efficient Intelligent Generic Recommendation Knowledge Graph in Education Domain using Association Rule Mining and Machine Learning
Authors:   Research Scholar, AMET University, Chennai, Tamilnadu, India., Sathyanarayanan D , Krishnamurthy M ,   Professor, Department of Computer Science and Engineering, KCG College of Technology, Chennai, Tamilnadu, India.
Published: August 2019

Knowledge graph is used to extract and derive new facts from huge variety of data sources through relationship. An existing Natural language processing tool is specific and performs adaptive learning mechanism through instruction concepts. The specific knowledge graph suffers a problem of finding large collections of new facts with inter domain. This problem is addressed by implementing an efficient model for integrating various domain of interest as a generic knowledge graph. This proposed model has three major phases they are generic data collection, generic relationship establishment and generic deployment for education domain. The data are collected, preprocessed and categorized in to specific subject category by producing integrated data set. The relationship is established based on the pedagogical data with assessment data of leaners are classified in to course list. This generic knowledge graph is compared with the CNN based model and GCN based model. The validation of these models are assessed and deployed into application services for teachers and learners. The main objective of the proposed graph is to organize a generic knowledge graph for deriving huge amount of new facts to the education domain with maximum support and confidence level.
A Vignette of Spiritual Intelligence and Transformational Leadership
Authors:   Assistant Professor (Sr. Gr.) at Amrita Darshanam- International Centre for Spiritual Studies, Amrita Vishwa Vidyapeetham, Amritapuri campus, India., Menon Preetha , Sadasivan Anand ,   Assistant Professor at Amritadarshanam – International Centre for Spiritual Studies, Amritapuri campus.
Published: August 2019

The United Nations (UN) has identified 17 Sustainable Development Goals aimed to end poverty, hunger and inequality, act on climate change and the environment, improve access to health and education, and build strong institutions and partnerships. A style of leadership, ingrained in an altruistic and holistic approach that acknowledges the interrelationships of all beings, is a pre-requisite to achieve sustainable development. The projects undertaken by Amrita Institutions, under the guidance and leadership of its founder, Sri Mata Amritanandamayi Devi, are in tandem with the Sustainable Development Goals identified by the UN. Results of a survey conducted to unravel the observable components of Spiritual Intelligence (SI) and Transformational Leadership (TL) of Sri Mata Amritanandamayi Devi, suggest a classic blend of SI and TL. Emulation of the convergence of SI and TL is projected to be an approach for mankind to transcend the differences of race, culture, and ideology, and regard one another as entities of a single all-encompassing consciousness. This prospective is predicted to promote fulfilment, purpose and meaning to life of individuals, communities, nations, and the world at large. The preliminary study illustrating this concept needs to be explored as recommendation for a future research, encompassing qualitative and quantitative analysis, to yield a holistic view of leadership characteristics. Longitudinal studies could also be pursued to deduce their trajectories over longer periods in time.
Dynamic Response of RC Panel with and Without Openings Subjected To Blast Loading
Authors:   Applied Mechanics Department, Shri K J Polytechnic, Bharuch,India., Shukla Palak J , Desai Atul K ,   Applied Mechanics Department, Sardar Vallabhbhai National Institute of Technology, Surat, India., Modhera Chetankumar D ,   Applied Mechanics Department, Sardar Vallabhbhai National Institute of Technology, Surat, India.
Published: August 2019

The dynamic response of reinforced concrete (RC) panels without and with different configuration of opening under blast load scenario is investigated in the present study. The numerical simulations were carried out using finite element method with ABAQUS application. The concrete behavior under blast loading was modelled using Concrete damaged plasticity model. The material parameters for concrete damaged plasticity model were determined using methodology proposed by [14]. The parametric study was carried out using variation in blast load due to different charge weight. It was observed that the peak displacement increases with increase in blast load. It was also observed that at lower blast load, failure of reinforced concrete panel was initiated by cracking at rear face of panel but as the blast load increases the RC panel was failed by combination of crushing of front face of panel along with cracking of rear face. It was observed that for the given blast load, the RC panel without opening is less affected by crushing failure as compared to RC panel with opening configuration studied. It was also observed that the RC panel with circular opening at center is stiffer than other opening configuration and observed to have stable structural performance against the blast load studied.
Innovations in Kazakhstan’s Architecture
Authors:   International Education Corporation, Almaty, Kazakhstan., Priemets Oksana , Samoilov Konstantin ,   Satbayev University, Almaty, Kazakhstan., Zayats Inna ,   International Education Corporation, Almaty, Kazakhstan., Kenessarina Zhanar ,   International Education Corporation, Almaty, Kazakhstan., Yssembayeva Ellina ,   International Education Corporation, Almaty, Kazakhstan.
Published: August 2019

The evolution of Kazakhstan’s architecture illustrates the constant synthesis of internal and external forms. It creates its original form. This form continues its development under the influence of the factors of tradition and innovations. This interesting process occurred in the 20th century. Trends of the beginning of the 21st century look peculiar.
Estimation of Soc and Soh Using Mixed Neural Network and Coulomb Counting Algorithm
Authors:   Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., Ganeshan Abhash , Shanmughasundaram R. ,   Assistant prof.(Sr.Gr) ,Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
Published: August 2019

The Lithium ion battery is widely used in most of the battery powered electronics and automotive products like mobile phones, laptop, wall watch, calculator and other. The Battery provides power to devices with the facility of movability. On the other hand, it also provides power backup to devices. The Battery State of charge (SOC) and state of health (SOH) are the key terms by which the available charge and its life span can be estimated. In this paper, SOC is estimated using a back-propagation neural network with 3 inputs namely, voltage, current, and temperature of the battery. Coulomb counting method is used to find the new or remaining capacity of the battery which will notify about its SOH. The whole setup is implemented in PIC16F877A with the voltage, current and temperature sensors.
Envelope Life Cycle Costing of Energy-Efficient Buildings in Ukraine
Authors:   Department of architecture constructions, Faculty of Architecture, Kyiv National University of Construction and Architecture (KNUBA), Kyiv, Ukraine., Getun Galyna V. , Botvinovska Svitlana I. ,   Department of descriptive geometry and engineering graphics, Faculty of Architecture, Kyiv National University of Construction and Architecture (KNUBA), Kyiv, Ukraine., Kozak Nataliia F. ,   Department of architecture constructions, Faculty of Architecture, Kyiv National University of Construction and Architecture (KNUBA), Kyiv, Ukraine, Zapryvoda Andrii V. ,   Department of architecture constructions, Faculty of Architecture, Kyiv National University of Construction and Architecture (KNUBA), Kyiv, Ukraine., Sulimenko Hanna H. ,   Department of Computer Technologies and Systems Modeling, Faculty of accounting and finance, Zhytomyr National Agroecological University, Zhytomyr, Ukraine.
Published: August 2019

The article describes main points and characteristics of the building envelope design considering life-cycle cost and compliance with the codes for energy efficiency parameters in Ukraine. This article contains of the problem analysis of the requirements development for the energy-efficient buildings parameters in Ukraine considering life-cycle cost in the walling design. The structural concepts for the thermal insulation of building exterior walls and roof coatings and their impact on energy efficiency are considered. Designing rational structural concepts for thermal insulating envelope of energy-efficient buildings. The role of the life cycle cost criterion in making decisions on the choice of building envelope is clarified. Analysis of activities, publications and regulatory documents in Ukraine and the EU-countries for the design of rational thermal insulating building envelope considering life-cycle cost to reducing energy consumption. The requirements of regulatory documents on the design of energy-efficient buildings in Ukraine are systematized. The variants of construction solutions for building envelope are considered in terms of the life-cycle cost and energy saving requirements. The tasks of choosing optimal solutions for enclosing structures of external walls and building coatings are multicriteria of a cardinal choice of alternatives with different important measures from a finite set of feasible solutions when considering a weakly structured problem with clearly defined separated parameters. Thermal insulating building envelope using modern insulation systems should be used in all types of buildings.
Impact of Energy and Mobility on MANETs Routing Protocols: AODV and DSR
Authors:   Institute of Engineering & Technology, Mangalayatan University, Aligarh, India., Upadhyay Rajesh Kumar , Kumar Subodh ,   Institute of Engineering & Technology, Mangalayatan University, Aligarh, India., Rana Manoj Kumar ,   Institute of Engineering & Technology, Mangalayatan University, Aligarh, India.
Published: August 2019

Routing protocols can be tested in realistic conditions of Mobile Ad-hoc network (MANET)). The performance of MANET depends on different parameters such as used number of nodes, mobility speed, routing protocols, mobility model and energy models etc. In this paper, researchers made an effort to analyze the impact of energy and mobility on the performance of AODV and DSR routing protocols with varying mobility speed under random waypoint mobility model and radio energy models in the MANET. Detailed simulations have been carried out using QualNet simulator for 50 nodes. Performance of AODV and DSR routing protocols has been analyzed under the premise of performance metrics namely average throughput, average end to end delay and average jitter using CBR traffic patterns.
The Assessment of the Effectiveness of the Implementation of Scenarios for the Sustainable Development of Agriculture
Authors:   Department of management and business administration of Federal State Educational Institution of Higher Education Michurinsk State Agrarian University, Michurinsk, Russia., Nikitin Alexander Valerievich , Trunova Svetlana Nikolaevna ,   Federal State Educational Institution of Higher Education Michurinsk State Agrarian University, Michurinsk, Russia., Voropaeva Victoria Aleksandrovna ,   Federal State Educational Institution of Higher Education Michurinsk State Agrarian University, Michurinsk, Russia.
Published: August 2019

In the following article, the advantage of the scenario analysis of the development of agriculture at assessment of effective management of its sustainable development, taking into account realization of possible strategic objectives is disclosed. Comparative characteristic of three scenarios of development of agriculture is given. Their differences are specified. The system of indicators that allows determining the effect of the complex processes of use of natural and production resources on effectiveness of management of sustainable development of agriculture is characterized. Its perspective growth parameters in the sectoral context are analyzed. The conclusion is drawn that the effective scenario at which the Russian agrarian economic policy has to be aimed is optimistic. It is this vector of effective management, which can ensure the achievement of strategic landmarks for the development of the agro-industrial complex for a ten-year perspective.
Rapid Emergncy Message Dissemination Routing In Delay Tolerant Network
Authors:   Research scholar, Research & Development Center, Bharathiyar University, Coimbatore-641 046, Tamilnadu, India., Devi G. Santhana , Alex M. Germanus ,   Prof & Head, Government Arts and Science College, Nagercoil, Tamilnadu, India.
Published: August 2019

In VANET, vehicles are move very fast as a consequence intermittent connectivity occurs frequently. In this delay-tolerant situation, the emergency rescue message broadcast is an extremely challenging task. The proposed routing protocol REMD give a solution to the problem. REMD follow the store carry forward method and flooding based message forwarding method. This paper expresses rapid emergency message dissemination routing in delay tolerant network called REMD Protocol. In this protocol, the source vehicle broadcast emergency message to the presented all neighbour vehicles in its communication range. The sender vehicle allocates message replicas and message time to live to the neighbour vehicles based on the corresponding vehicles credence value. Each vehicle credence value is calculated from their Visited Level Estimation (VLE) and Destination Reaches Level Estimation (DLE) values.
A Novel Purchase Target Prediction System using Extreme Gradient Boosting Machines
Authors:   Department of Computer Application, Vel’s University, Pallavaram, TN, India, Sharma Shambhu Nath , Prasanna Dr. S. ,   Department of Computer Application, Vel’s University, Pallavaram, TN, India
Published: August 2019

In recent days, electronic business (E-trade) gives more changeto buyers as well as opens doors in web based promoting and advertising. Online promoters can see increasingly about buyer inclinations, dependent on their day by day web-based shopping and surfing. The advancement of big data and distributed computing systems further engage promoters and advertisers to have an information driven and purchaser explicit inclination proposal dependent on the web-basedsurfing narratives. In this article, a decision supportive network is proposed to anticipate a customer buy intentionin the middle of surfing. The proposed decision support framework classifies surfing sessions into sales based and common methods utilizing extreme boosting machines. The proposed technique further demonstrates its solid forecasting ability contrasted with other benchmark calculations which includes logistic retrogression and conventional ensemble brands. The suggested technique can be executed in actual time offering calculations for web-based publicizing methodologies. Promotion on surfing session with potential buying expectation enhance the successfulof ads.
Learning Attitudes and Resistance to Learning Language in Engineering Students
Authors:   Department of Languages, Hindustan Institute of Technology and Science, Chennai, India, Joseph Sonu , Joy Sherine ,   Department of Languages, Hindustan Institute of Technology and Science, Chennai, India
Published: August 2019

This paper a part of a larger study on the effects of blended learning, it describes classroom experiences from a teacher and learner and details the action research on 250 students who were administered a course on Communication Skills & Personality Development to the Third Year Engineering Students at HITS Chennai, India. The regular parameters of conducting a course such as {a} attendance, {b} performance based results {c} on time submission of tasks and {d}engaging them in class activities became more challenging to the researcher because of the attitude that the scholars presented towards language learning. This ranges from non-acceptance of any new format of teaching, unwillingness to put in extra effort, inhibition stemming from the perception of their peers. To that end the teaching method and assessment were developed that included constructivism, social constructivism and problem-based learning as pedagogy. The programme designed also integrated flipped learning, peer and self-reviews, consistent marking structures based on the Vygotsky Activity Theory. The results confirm initial and strong resistance towards the methodology, lack of physical, emotional and mental input, initial fear and shyness towards the perception of others. Post the initial block what followed was an environment of support, continuous motivation that stemmed from their own activity and creation of learning resources by the scholars.
Performance Improvement of TCP New Reno using one way delay Measurement
Authors:   Research Scholar, Department of Computer Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India., Pawale Sanjesh S. , Vanjale Sandeep B. ,   Professor, Department of Computer Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India.
Published: August 2019

Well known TCP NewReno protocol when used with wire-cum-wireless network its performance decreases, due to the inability to discriminate wireless loss with congestion loss. One way delay can give better network characteristics than approximate RTT used in TCP congestion control algorithms. In this paper, we have proposed a modified version of TCP NewReno based on one-way delay measurement. We called it as WNewReno. Our proposed algorithm detects wireless loss and improves performance. Simulations are carried out using ns-2.34.
Heart Disease Prediction Using Machine Learning Algorithm
Authors:   Assistant Professor in School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India., Reddy M Praveen Kumar , Reddy T Sunil Kumar ,   Professor in the Department of Computer Science Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor., Balakrishnan S. ,   Professor in Computer Science and Business Systems, Sri Krishna college of Engineering and Technology, Basha Syed Muzamil ,   Ph.D. degree in School of computer science and Engineering from the VIT (Deemed by university), Vellore, India., Poluru Ravi Kumar ,   Research Scholar in the School of Computer Science & Engineering, Vellore Institute of Technology, Vellore
Published: August 2019

Heart disease is a common problem which can be very severe in old ages and also in people not having a healthy lifestyle. With regular check-up and diagnosis in addition to maintaining a decent eating habit can prevent it to some extent. In this paper we have tried to implement the most sought after and important machine learning algorithm to predict the heart disease in a patient. The decision tree classifier is implemented based on the symptoms which are specifically the attributes required for the purpose of prediction. Using the decision tree algorithm, we will be able to identify those attributes which are the best one that will lead us to a better prediction of the datasets. The decision tree algorithm works in a way where it tries to solve the problem by the help of tree representation. Here each internal node of the tree represents an attribute, and each leaf node corresponds to a class label. The support vector machine algorithm helps us to classify the datasets on the basis of kernel and it also groups the dataset using hyperplane. The main objective of this project is to try and reduce the number of occurrences of the heart diseases in patients.
Real Time Traffic Light Detection by Autonomous Vehicles using Artificial Neural Network Techniques
Authors:   Computer Science and Engineering, BMS Institute of Technology and Management, Bangalore, India.., G Dr. Mahesh . , Kumar .T Dr. Satish ,   Computer Science and Engineering, BMS Institute of Technology and Management, Bangalore, India..
Published: August 2019

Autonomous vehicles are the reality of the future, they will open up the way for future advanced systems where computers are expected to take over the decision making of driving. These automobiles are capable of sensing their environment and moving with little or no human input. The main goal of this research is to detect traffic light in real-time for autonomous vehicles. Apart from taking decisions to navigate in the right manner the autonomous vehicles important task is to detect traffic lights, so that it can obey the traffic rules with sufficient precision. The work carried out in this research makes use of two Artificial Intelligence technique, these techniques are compared in accomplishing the task of traffic light detection in real time. The two models that are designed and implemented are Convolution neural network (CNN) and Deep Convolution Inverse Graphics Network (DCIGN). The results clearly show that DCIGN out performance CNN by 8%.
Transmission of Audio signals using Visible Light Communication via LEDs
Authors:   School of Electrical Engineering, VIT University, Vellore, India., C Dhanmajayulu , Ghorui Ankita ,   School of Electrical Engineering, VIT University, Vellore, India, Chatterjee Subhasri ,   School of Electrical Engineering, VIT University, Vellore, India ., Shukla Yashraj ,   School of Electrical Engineering, VIT University, Vellore, India ., Singhal Sarthak ,   School of Electrical Engineering, VIT University, Vellore, India ., G Arunkumar ,   School of Electrical Engineering, VIT University, Vellore, India.
Published: August 2019

With the episodic increase of advancement in technology, wireless communication has become the need of the hour. The rate at which the use of wireless technology is being developed is tremendous. However, with the increase in usage, there has been unfortunately an increase in network complexity. In order to resolve the crisis of radio frequency spectrum, a newly developed technology has been proposed. This technology has been coined as Li-Fi: Light Fidelity. It is a technology, based on Visible Light Communication, which is used to transmit signals and data from one system to another with the help of a Led. The paper proposes a transmission system which will be responsible for transmitting audio signals from one system to another with the help of Li-Fi. Here a light emitting diode acts as the Li-Fi transmitter and photodiode acting as a Li-Fi receiver.The spontaneous switching of the Led enables propagation of signals through a wireless channel and is picked up by the receiving photodiode. The photodiode adhering to its functiontransforms the optical signals into electrical signals and therefore original data is retrieved and transferred. Additionally, with proposition to the system, a comparative study has been delineated with the already existing system.The existing system of networking and communications involve Wi-fi. The emergence and usage of Li-fi is necessary because it offers a substantially similar user experience to Wi-Fi except using the light spectrum. It is essential as it will able to meet up the connectivity demands of future as it is able to unlock unprecedented data and bandwidth.
Generation of Electrical Energy for Charging of a Battery by using Exhaust Gas Energy
Authors:   Automobile, Crescent IST, Chennai, India., C Dineshkumar , D Roshan ,   Automobile, Crescent IST, Chennai, India., P.D Jeyakumar ,   Mechanical, Crescent IST, Chennai, India., Tamilarasan T.R. ,   Automobile, Crescent IST, Chennai, India., V Deepan ,   Automobile, Crescent IST, Chennai, India.
Published: August 2019

In present day most of the automobile vehicles runs and depends upon the automotive electronics therefore the need of electrical energy for running the electronics system. By using the exhaust gas energy it can produce the energy or charge the battery or power the electrical systems in different operating conditions. The system assists the existing battery during demand. The gas from combustion engine goes as waste approximately 70%of heat without utilizing properly. An attempt is made to charge the battery and it can use to power the electrical systems by using energy from exhaust gas turbine. It is used for the conversion of heat energy to electrical energy. To charge the battery by using the mechanical power from the engine exhaust manifold turbine without compromising the engine efficiency with limited back pressure. The main aim is to convert the heat energy to electrical energy through turbine which gets the higher out turn energy from the exhaust gases. The exhaust gas is utilized for charging and assisting the electrical system.
A Hybrid Artificial Bee Colony and Bacterial Foraging Algorithm for Optimized Clustering in Wireless Sensor Network
Authors:   Associate Professor, CVR College of Engineering and Research Scholar, JNTUH Hyderabad, India., Rambabu Bandi , Reddy Dr. A Venugopal ,   Professor, JNT University, Hyderabad, India., Sengathir Dr.J ,   Associate Professor, CVR College of Engineering, JNTUH Hyderabad, India.
Published: August 2019

The emerging ubiquitous nature of wireless sensor networks has made it suitable and applicable to a diversified number of vital applications that include environment surveillance, health monitoring using implantable sensors, weather forecasting and other plethora of contexts. The critical issues such as computation time, limited memory and energy are more common due to the tiny sized hundred and thousands of sensor nodes existing in the networks. In this context, the network lifetime completely depends on the potential use of available resources. The process of organizing closely located sensor nodes into clusters is convenient for effective management of cluster and improving the lifetime of the complete network. At this juncture, swarm intelligent and evolutionary algorithms the pertains to the problem of NP-complete is determined to achieve a superior optimal solution. In this paper, a Hybrid Artificial Bee Colony and Bacterial Foraging Algorithm-based Optimized Clustering (HABC-BFA-OC) is proposed for achieving enhanced network lifetime in sensor networks. In this proposed HABC-BFA-OC technique, the benefits of Bacterial Foraging Optimization is included for improving the local search potential of ABC algorithm in order to attain maximum exploitation and exploration over the parameters considered for cluster head selection. The simulation experiments of the proposed HABC-BFA-OC technique confirmed an enhanced network lifetime with minimized energy consumptions during its investigation with a different number of sensor nodes.