bluuebunny/crossref_metadata_2025 huggingface dataset:
Kapok Fibre as Membrane Distillation for Humic Acid Wastewater Treatment
Authors:   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Zukefli Aina Syazwana , Yunos Muhamad Zaini ,   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor., Ahmad Azlinorazia ,   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor., Thomas Muhammad Adrian ,   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor
Published: September 2019

Membrane distillation (MD) is a process of combining membrane with thermal desalination where it operates at two different temperatures which are hot and cold. A vapour pressure resulted between the temperature differences of two sides of the membrane is called permeate flux. In this study, kapok fibre, which provides hydrophobic properties, has been chosen as an alternative solution for synthetic membrane in the MD process. Therefore, the primary purpose of this research is to investigate the effect of feed temperature ranging from 40 to 70℃ towards the separation of pure water from humic acid (HA) wastewater. An experimental investigation for the performance of vacuum membrane distillation (VMD) system was performed to treat the HA wastewater to produce pure water. The experimental set up of VMD was set with kapok fibre acting as a barrier that separates the collected pure water from HA wastewater, which is conducted for four hours. Based on this study, the increase in the amount of calculated permeate flux correlates to the increase of feed temperature. The calculated permeate flux is 0.237 kgh-1m-2 at the temperature of 40℃. The amount of calculated flux increases steadily to 0.4 and 0.6 kgh-1m-2 respectively for every 10℃ increments. Furthermore, the physical properties of kapok fibre were analysed by using a scanning electron microscope (SEM). Surface morphology of the kapok fibre at the condition of before and after the MD process were studied without subjecting any chemical treatment on it. Accordingly, the physical properties of the kapok fibre were seen different after the MD process conducted. Additionally, the hydrophobic properties of the kapok fibre were evaluated by using an absorption test. The absorption test was conducted at varies temperature, which results in the highest percentage of absorptivity 4.823 % at 60℃. The hydrophobic kapok fibre has shown excellent properties that can be applied in the MD process and utilised in wastewater treatment.
Enhanced Boost Converter Fed Asymmetrical Cascaded -MLI for 3 Induction Motor
Authors:   Research scholar, Department of Electrical and Electronics Engineering, Sathiyabama University Chennai, India, Selvaperumal M. , Kirubakaran Dr.D. ,   Professor and Head of the department of Electrical and Electronics Engineering, St.Josph’s Institute of Technology, Chennai, India.
Published: September 2019

modern days more research works are going in the field of a non conventional source based power supply generation for interfacing low potential into high potential. Coupled inductor based Enhanced Boost Converter is proposed in this article. The passive clamp circuit is used to recycle the leakage energy and increase potential gain and less loss. Thus the proposed converter has maximum potential gain and efficiency due to coupled inductor and clamp circuit. This dc-dc converter output is given to hybrid multilevel inverter. The proposed Enhanced Boost Converter fed hybrid multilevel inverter is developed for interfacing low potential dc source into high potential AC.
Introduction Of Innovative Teaching Methods Into College Activities
Authors:   Kozma Minin Nizhny Novgorod state pedagogical university, Nizhniy Novgorod, Russia., O. I. Vaganova , Z.V. Smirnova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Nizhniy Novgorod, Russia., S. V Kondratyuk ,   Federal State Budget Educational Institution of Higher Education «Togliatti State University»., L. I. Kutepova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Nizhniy Novgorod, Russia., N. V. Bystrova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Nizhniy Novgorod, Russia, S. G. Litke ,   South Ural State Humanitarian and Pedagogical University, M. N. Bulaeva ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Nizhniy Novgorod, Russia.
Published: September 2019

Modern educational institutions continue their activities in the framework of new Federal state educational standards requirements which have appeared in response to changing needs of the state and society. College, as one of the first stages of education, should most actively respond to these changes, since students are the most active and susceptible category of population that needs competent impact, the results of which will later affect the state of the country's economy. Any college, maintaining its competitiveness and providing high-level training for students, should use innovative teaching methods in its activities. In the article the authors reveal essence of innovation for educational process in college and, for the formation of effective learning conditions. Besides, they propose the use of project method, method of problem situations, research activities and case methods, emphasizing that each of the methods has its advantages and using them separately will not bring proper results. In order to establish the need to use innovative teaching methods in college educational process, the authors conducted an experiment in which two groups of students taught in a traditional way and with implementation of innovative methods. Performance testing was carried out using assessment of indicators identified by the results of the project performed by college students. The experiment allowed the authors to confirm that innovative methods have positive effect on students’ training. Development of students' competencies is increasing. Consequently, the authors experience implemented into college activities can be expanded and introduced into training of the rest of college students.
Construction and Implementation of Coaxial Probe Feed Microstrip Patch Array Antenna
Authors:   Electronics and Communication Engineering, SVEC College of Engineering, Tirupati, India., REDDY B. SIVA SAI , PARVATHI P. ,   National Atmospheric Research Laboratory, Gadanki, Tirupati, India., KUMAR B. SENTHIL ,   Electronics and Communication Engineering, SVEC College of Engineering, Tirupati, India.
Published: September 2019

This project aims for the construction and implementation of the Coaxial probe feed microstrip array antenna for radar applications. As the Continuous Wave Frequency Modulated (CWFM) radar can together transfer and to accept the signals, whatever that can be used for a bistatic radar for consideration of weather and temperature. The single patch, 1x4, 2x2, 4X4 coaxial probe feed is to design at a frequency of 1.48GHz by using RT duriod (r = 2.2) dielectric substrate for a bandwidth of 15MHz. For Microstrip antenna array elements is to connect with inter-component configuration of 0.8λ. in both horizontal and vertical directions. The microstrip patch array antenna was constructed and implemented by using HFSS (High Frequency Structure Simulator) and comparison of various descriptions of array antennas by using feeder network in circuit construction and to check the isolation between the two antennas for bistatic radar.
Design and Simulation of a Novel Nine Level Inverter Topology for Motor Application
Authors:   M.E Scholar, Electrical Engineering Department, NITTTR , Chandigarh, India., Sharma Ruchika , Letha Dr. Shimi Sudha ,   Assistant Professor, Electrical Engineering Department, NITTTR, Chandigarh, India, Kumar Rohit ,   Research Scholar Electrical Engineering Department Indian Institute of Technology, Delhi, India.
Published: September 2019

In the couple of years, the demand of multilevel inverter has expeditiously increased in the field of utilization of electrical energy. Because the multilevel inverter is a key technology to integrate the different renewable energy sources (wind, solar etc) with the grid. In this research work, authors have configured a novel topology of nine level multilevel inverter has less number of switches with dc voltage sources. The presented approach has been designed to 9-level inverter with seven unidirectional switches with voltage sources. It comprises of an H-bridge which synthesize to ac voltage by utilizing almost all possible additive and subtractive cases of the voltage sources with its combinational power switches and generated optimal firing angles using selective harmonic elimination method with Genetic Algorithm to decrease the lower order harmonic present in the output voltage of the, which supplied by the presented nine-level inverter. It has been concluded that presented approach use a less number of power switches in drive circuit and the number of dc voltage sources also make a simple circuit and enhance the efficiency of the complete system.
Durability Properties of Blast Furnace Slag (BFS)-Modified Concrete
Authors:   Civil Engineering department, SRKR Engg. College, Bhimavaram, India., G. Sabarish , L. Ganesh S. ,   Civil Engineering department, SRKR Engg. College, Bhimavaram, India, V. Krishnamraju G. L. ,   Civil Engineering department, SRKR Engg. College, Bhimavaram, India., V. Chanakya V. ,   Civil Engineering department, SRKR Engg. College, Bhimavaram, India., P. Harshan V. ,   M. Tech. student, Civil Engineering department, SRKR Engg. College, Bhimavaram, India.
Published: September 2019

Mineral admixtures are being used today almost in all concretes partially, to improve workability, engineering properties and also to enhance durability of the concrete. These are industries by-products. This paper discusses, blast furnace slag (BFS) was used to study durability properties; namely, initial water absorption, final water absorption and acid attack. To examine the above mentioned properties, M30 concrete was chosen. The BFS content was varied from 0% to 30% by volume of cement with an interval of 10%. In acid attack, specimens were cured in H2SO4 solution about 3% concentration, the corresponding weight losses (%) were evaluated for curing periods of 7, 14 and 28 days. The durability properties of the BFS-modified concrete have been improved when BFS content increased up to 20% advantageously. Weight loss was also decreased.
The Experimental Features of a Compression Ignition Engine Running On Pure Diesel and Mixtures of Diesel and Manilkara Zapota Methyl Ester
Authors:   Department of Mechanical Engineering, SVIST, Tiruvuru, A.P, India., Tatikonda Nambaya Charyulu , Naveenchandran Dr. P. ,   Automobile Engineering Department, BIHER (Bharath University), Chennai, India.
Published: September 2019

presently, the world is grieving with lack of energy sources, since the petroleum reserve are being depleted very soon, moreover the world’s temperature is rapidly increasing resulting from the emissions of automobile. More consideration should be given to this issue so, the researchers across the globe making difficult trials to find the best substitute energy reserve which swaps the fossil diesel petroleum. This article deals with manilkara zapota methyl ester, the biodiesel taken from a non-edible feed stock Manilkara Zapota seed generally known as Sapodilla. It has exceptional fuel properties like fossil diesel. By the transesterification process, Manilkara Zapota Methyl Ester (MZME) was taken out from crude manilkara zapota seed oil. Numerous test samples were equipped in the combination ratios ranging from 10% to 30% and the mixtures were selected as ZB10D90 (10% MZME + 90% Pure Diesel), ZB20D80 (20% MZME + 80% Pure Diesel) and ZB30D70 (30% MZME + 70% Pure Diesel). An experimental examination was performed on a single cylinder four stroke direct injection diesel engine to find out the emission, combustion properties, and performance at continuous speed and numerous load circumstances. The experimental outcomes were exposed that, at complete load condition, the performance aspects like BSFC and BTE were improved by 7.69% and 7.44% respectively, and the parameters of emission like CO was reduced greatly by 64% whereas NOx, HC and smoke opacity were concurrently increased by 12.36%, 6.67%, and 3.88% respectively, but no big variance was found in the emission of CO2 when compared to diesel fuel. Heat release rate was decreased by 5.04% and cylinder peak pressure was improved slightly.
Micro-Mechanical Properties of Expanded Clay Particles
Authors:   Tunis El Manar University, National Engineering School of Tunis, Civil engineering Laboratory, Tunis, Tunisia., Jamaa Haithem Ben , Elghezal Latifa ,   Tunis El Manar University, National Engineering School of Tunis, Civil engineering Laboratory, Tunis, Tunisia., Jamei Mehrez ,   Tunis El Manar University, National Engineering School of Tunis, Civil Engineering Laboratory, Tunis, Tunisia.
Published: September 2019

The aim of this paper is to study the micro-mechanical behavior of an industrial crushable and highly porous granular material. Lightweight Expanded Clay Aggregates (LECA) was selected in this research for testing thanks to its brittle nature and highly porous character which makes it easier to study the crushable behavior of this material. LECA’s micro-mechanical properties were identified to understand the parameters that affect particle’s crushing. Uniaxial compression tests, consisting on compressing the particles between two rigid platens, were made on a set of single LECA’s particles to investigate the force displacement response and the Hertzian behavior was identified as the contact law. The particles’ strengths were determined for tested granules using the crushing force and grains’ Young moduli were calculated using the suggested contact law. Due to their high variability, the particles’ crushing stress and their Young moduli were related to particle’s dimension using a suggested power law to predict these mico-mechanical properties. Results have shown a high dependency between the particle’s micro-mechanical properties and their dimensions.
Optimization of Water Allocation at Irrigation Area of Molek-Kepanjen Regency of Indonesia Using Dynamic Programming
Authors:   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia., Limantara Lily Montarcih , Narulita Sari ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
Published: September 2019

Water supply at DI Molek (Irrigation area of Molek, Kepanjen Regency-Indonesia) is deficit on the low and dry discharge seasonal year. To solve this problem, there is needed to reallocate water supply for getting the maximum benefit. This study intends to optimize the irrigation water supply at DI Molek. Water supply for irrigation in this area is not enough during dry season. It is needed a pattern of water supply allocation to get the maximum net benefit for allocating water supply in this season. The Dynamic Programming is used to carry out this problem. Result shows that the benefit of water supply allocation at DI Molek would be increase 6.37% for low discharge seasonal year and 10.86% for dry discharge seasonal year..
Adaptation Strategies of Woman in Fishing Community towards Environmental Change in Administrative Village Of Kereng Bangkirai, the City of Palangkaraya
Authors:   Department of Agricultural Socio Economics, Faculty of Agriculture, University of Palangka Raya, Jl. Yos Sudarso Palangka Raya 73111 Kalimantan Tengah-INDONESIA,, Elbaar Evi Feronika
Published: September 2019

The purpose of this paper is to determine and to map the forms of environmental change, and also to describe the form of adaptation of women in fishing community related to the environmental change in Administrative Village of Kereng Bangkirai. Administrative Village of Kereng Bangkirai was chosen as the research site since the village is the part of Sabangau National Park conservation area. Therefore, it is important to understand the adaptation strategies that have been done by women in fishing community associated with environmental changes. Twenty informants were selected by using snowball sampling method. The analysis was performed with Miles and Huberman model that consists of data reduction, data display, and data conclusion. In this paper, the environmental change is divided into physical and non-physical aspect. The physical aspect includes the destruction of nature and climate change; while the non-physical aspect consists of economics (the growth of life necessities, modernization and commercialization); legal and institutional field (establishment of Sabangau National Park and improving the status of village); and socio-cultural field (the presence of migrants, changes in the social order as well as social activities that become more active). Adaptation strategies undertaken by women of fishing community include: seek alternative resources and livelihoods; always prepare boats and fishing equipment to use at any time; adjust to modernization; sought to obey the rules and the new institutional system and adapt to the socio-cultural development.
Assessment Of BLDC Drive For E-Bike Application
Authors:   Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Sathiyan S. Paul , Pratap C. Benin ,   Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Daniel  ,   Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Arun  ,   Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore
Published: September 2019

This paper describes about the need and the various architecture of Electric Bike (E-bike). Among the various electric propulsion sources available, the performance study of Brushless DC (BLDC) motor for an electrically assisted bicycle (E-Bike) is carried out under certain operating conditions. In order to determine the operating speed and to achieve a suitable gear ratio, the motor is operated at different duty ratios whereby the operating voltage and speed of rotation of the motor is varied. The motor is loaded during the various test speeds considered. Based on the performance of the motor and the norms set by Central Motor Vehicle Rules (CMVR) of India, the torque delivered by the motor is computed through experimentation. The characteristics graphs have been plotted against different parameters. Depending on the torque values at the recommended power, the motor operating speed, voltage and currents were identified. Suitable gear ratios have been identified to match the performance of the motor with the e-bike performance requisite leading to better performance of the E-Bike propulsion system.
Two Parallel Pipelined FFT Architecture After Third Stage for Low Complexity and Latency
Authors:   Associate professor in Vishnu Institute of Technology Bhimavaram,, Kumar G Prasanna , Krishna  ,   B.T Ph.D. degree in Electronics and Communication Engineering from Andhra University, Vishakhapatnam, Andhra Pradesh, India, Kotipalli Pushpa ,   Professor in ECE Department of Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India.
Published: September 2019

Complexity is the major issue in the development of pipelined Fast Fourier Transform (FFT) structure. A novel parallel pipelined FFT design constructed for low complexity and Latency. The proposed structure efficiently uses pipeline and parallel pipeline in the design. The first three stages of the structure follow the pipelining and from fourth stage there are two parallel paths simultaneously compute four complex additions, the first three single path stages that reduces complexity, parallel pipeline stages at the end of structure also reduces the Latency. The proposed structure is an optimized solution to reduce the trade-off between Latency and complexity. The comparative performance of the proposed structure with several other existing structures shows that it has Low latency with small cost of hardware.
Social Spider Optimization with Tumbling Effect Based Data Classification Model for Stock Price Prediction
Authors:   Department of Computer Science, Pondicherry University, Puducherry, , India, Saravanan R. , Sujatha P. ,   Department of Computer Science, Pondicherry University, Puducherry, India,, Kadiravan G. ,   Department of Computer Science, Pondicherry University, Puducherry, India,, Uthayakumar J. ,   Department of Computer Science, Pondicherry University, Puducherry, India
Published: September 2019

In last decade, data classification become more famous which aims to classify the data to a fixed number of classes. The data classification problem is treated as an NP hard problem and different optimization models are presented to resolve it. This paper introduces a social spider optimization (SSO) algorithm with tumbling effect called SSO-T algorithm to solve the data classification problem. First, the SSO algorithm is derived to solve the classification process which is considered as a NP hard problem. Next, to further enhance the exploration process of SSO algorithm, it is modified by the inclusion of tumbling effect, called SSO-T algorithm. For validating the results of the SSO and SSO-T algorithm, a real time problem of stock price prediction (SSP) is employed. For experimentation, the results are validated by testing the SSO and SSO-T algorithms against four datasets such as Dow Jones Index (DJI) dataset, three own datasets gathered from Yahoo finance on the basis of daily, weekly and yearly. The empirical result states that the proposed algorithms perform well and it is noted that the classification performance of the SSO algorithm is increased by the inclusion of tumbling effect.
Effective Fraud Detection in Healthcare Domain using Popular Classification Modeling Techniques
Authors:   Perusing Master in Computer Science Department of Computer Science, CHRIST, Suri Sheffali , Jose. Deepa.V. ,   Faculty Department of Computer Science, CHRIST
Published: September 2019

Fraud is any activity with malicious intentions resulting in personal gain. In the Present Day scenario, every sector is polluted by such fraudulent activities to fetch unauthorized benefits. In HealthCare, an increase in fraudulent insurance claims has been observed over the years which may constitute around 3-5% of the total cost. Increasing healthcare costs along with the hike in fraud cases have made it difficult for people to approach these services when required. To avoid such situations, we must understand and identify such illegal acts and prepare our systems to combat such cases. Thus, there is a need to have a powerful mechanism to detect and avoid fraudulent activities. Many Data mining approaches are applied to identify, analyze and categorized fraud claims from the genuine ones. In this paper, various frauds existing in the Health Care sector have been discussed along with analyzing the effect of frauds in the health care domain with existing data mining models. Furthermost, a comparative analysis is performed on two existing approaches to extract relevant patterns related to fraudulent claims.
Spatial Variation of Annual and Monthly Rainfall in Orsang River Basin, Gujarat, India
Authors:   Associate Professor, Civil Engineering Department, Faculty of Technology & Engineering, Maharaja Sayajirao University of Baroda,, Joshi Geeta S. , Shah Jainy ,   Civil Engineering Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda
Published: September 2019

Climate change is one of the most discussed issues affecting the environment nowadays. Many researchers have been agreed that the increase in temperature in comparison to the previous century is due to anthropologically related activities, though there are enough historical evidence to support the theory that climate change is a natural phenomenon. This paper reviews the impact of climate change by assessing the trend of annual and monthly rainfall and representing spatial variability over the Orsang river basin in Narmada lower river basin in the state of Gujarat, India. This will be helpful to study the impacts of climate change on hydrology and water resources, and planning & management of water resources, environmental protection, and ecological balance over the orsang river basin, India.
Quality of Service (Qos) Neighbor Routing In Grid and Triangular Mesh Topologies of Wireless Mesh Network
Authors:   Assistant Professor in Department of Computer Science, Sri SRNM College, Sattur, India, Rani Dr.A.Mercy , Praba Dr.V.Lakshmi ,   Assistant Professor in Research Department of Computer Science, Rani Anna Government College for Women, Tirunelveli. India
Published: September 2019

Quality of Service routing is constructing a route with enough resources for the QoS parameters. The routing protocols play a crucial part in providing quality service for Wireless Mesh Network (WMN). In this paper, the existing AODV protocol is enhanced to provide QoS in routing the packets as it may lead to node failure, congestion due to loss of energy and increased queue length. In the route construction process, initially the protocol focus on selecting a best forwarding node based on the node’s maximum net energy. Second, AODV is enhanced to construct a route by selecting a forwarding neighbor based on minimum queue length. Finally, the EEQ-AODV (Efficient Energy and Queue AODV) protocol selects the efficient path based on energy and queue length factors. The above mentioned tasks have been analyzed in Grid and Triangular Mesh topologies of Hybrid WMN architecture by considering the metrics Packet Delivery Ratio(PDR), dropped packets, average end-end delay, routing overhead and average throughput using NS-2. EEQ-AODV protocol is analyzed with the metrics energy consumed/packet and lifetime of the network.
Technological Parameters of the Process of Producing Metallized Iron Concentrates from Poor Raw Material
Authors:   Assistant professor, PhD, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan, Turdaliyevich Matkarimov Sokhibjon , Tilovkabulovich Berdiyarov Bakhriddin ,   Head of department, PhD, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan., Abdullayevich Yusupkhodjayev Anvar ,   Professor of department, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan
Published: September 2019

In article the possibility of receiving the metallized concentrates from ferriferous ores with the low content of iron, for the purpose of preparation them to metallurgical processing is considered. It is shown that the following factors have significant effect on effectiveness of process of receiving the metallized concentrates: composition of ore, physical and chemical properties of ore, possibility of receiving pellets, type and consumption of reducer, etc.
Optimization Of Machining Process Parameters In Turning And Drilling By using Design Of Experiments With Aluminum 6061-O Alloy And Austenitic Stainless Steel
Authors:   Currently pursuing PhD from K L Deemed to be University, Vaddeshwaram, Andhra Pradesh, India., Suresh Mr. A. , Diwakar Dr. G. ,   Professor of Mechanical Engineering Department of Mechanical Engineering, K L (Deemed to be University), Vaddeshwaram, Guntur, India.
Published: September 2019

Optimization is required everywhere particularly in the industrial sector. As a part of that machining emphasized in this paper to optimize the parameters involved in the turning and drilling operation on CNC machines using the Aluminum and Stainless steel alloys. The task is initiated with design of experiments and hence the cost of operation is also reduced. During the experimental process the input parameters involved for turning were considered as cutting speed, feed and depth of cut. And for the drilling operation the input process parameters considered were speed of drill, feed. The output parameters emphasized were surface roughness and dimensional accuracy. By the investigation using the experiments, it in turn leads to an optimized environment for the operation that was carried out. Taguchi technique is a widely used and efficient technique for correlating the process parameters for an efficient and effective operation. Then the process L9 and L16 orthogonal arrays were chosen and signal to noise ratios were computed. At the end the input parameters speed, feed, depth of cut, depth of drill and outcome parameters surface roughness, material removal rate and time of operation were optimized.
Material Modeling of Particle Reinforced In Metal Matrix Composite
Authors:   Department of Mechanical Engineering, Veltech Rangarajan Dr.Sgunthala R&D Institute of Science and Technology, Avadi, India, Sundarraj M. , Meikandan M. ,   Department of Mechanical Engineering, Veltech Rangarajan Dr.Sgunthala R&D Institute of Science and Technology, Avadi, India
Published: September 2019

The FEA model of particulate reinforced metal matrix composite which will be used for material optimization application. A particle distribution method will be introduced to get a random pattern of particles reinforcement model in the metal matrix FEA model. A FEA model of particle metal matrix composite that allows to vary particle distribution and the model is developed in ANSYS commercial FEA code .The particle distribution pattern is generated using sphere packing method for a given percentage of particulate mixture ratio. The effect of particle concentration and distribution and its mechanical behavior and metal matrix can be Analyzed and studied in this model. This model will be useful in optimizing the particle metal matrix against a given mechanical behavior or performance required for the variation of percentage in particle mixture ratio, particle grain size, particle material and matrix material.
Evaluation of Joint Driving Torque and Finite Element Analysis in Articulate Robot through the simulation of Multi-Body Dynamics
Authors:   School of Mechanical Engineering, Tongmyong University, Busan, Korea., OH Yeon Taek
Published: September 2019

Interest in high-speed articulated robots is increasing for product productivity expansion. High-speed articulated robots operate with rapid acceleration/deceleration moves, requiring dynamic characteristic analysis in the robot designing process. For this dynamic behavior analysis, simulation software is utilized, which supports product design verification and parts optimization. In analyzing the dynamic characteristics using the software, loading conditions can be obtained from experimental data or parts’ material characteristics. In a special case where data or experimental data on load conditions are hardly obtainable, multibody dynamics software is utilized. However, it is not easy to define an effective load and boundary conditions for systems with kinetically complicated connections. In order to solve such a problem, this present study investigated how to apply to structural analysis software the dynamic load found using dynamics and structural analysis software. In addition, the dynamic characteristics of high-speed articulated robots and robot link were assumed as a rigid body in implementing the dynamics analysis and structural analysis.
The Integrative Model Of Motivation In Massively Multiplayer Online Role-Playing Game
Authors:   College of software, Chungang University, Heugseoglo 84, Dongjaggu, Seoul, Korea,, Choi Jae Won
Published: September 2019

This study is to investigate the motivation factors in the massively multiplayer online role-playing game (MMORPG). This study suggests the integrative model of intrinsic and extrinsic motivators, and includes environmental moderators for the engagement in multiplayer online role-playing game. For empirical analysis, this study gathered data from 228 university students in South Korean by a survey method. The results showed the followings. First, the results of intrinsic motivation show that the more fantasy, diversion or arousal participants pursue in MMORPG play, the more they are engaged in MMORPG. Second, the results of extrinsic motivation show that the more completion, challenge or social interaction participants pursue in game MMORPG, the more likely they are to be engaged in MMORPG. Third, regarding social presence, the positive relationship between diversion and engagement in game is shown to be stronger for gamers in MMORPG platform higher rather than lower in social presence. Finally, regarding social capital, the positive relationship between challenge and engagement in game is shown to be stronger for gamers in MMORPG platform higher rather than lower in social capital.
Influence of Social Media on Reading Habits among Year 5 Pupils
Authors:   Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia., Miin Wong Pei , Suliman Ashairi ,   Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia., Yunus Melor Md. ,   Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Published: September 2019

Social media is an online platform which allows individuals and groups, as well as pupils to collaborate with each other. However, studies shown that pupils used them more for leisure than for academic purposes, including cultivating bad reading habits. This study aimed to explore the influence of social media towards reading habits and interest in reading among year 5 pupils in an urban school. The researchers see a need to carry out this study as it provides an insight for educators, especially for primary education teachers, who are longing for different pedagogical approach in language teaching, specifically the teaching of reading. A survey was carried out with 50 year 5 ESL pupils by using a questionnaire comprising 50 close-ended and 1 open-ended items to identify the influence of social media on their reading habits. Besides, unstructured interviews were conducted with 10 of the respondents to examine the influence of social media on interest of reading. The findings showed positive reading habits are able to construct by using social media as it successfully increased the interest of pupils in reading. In conclusion, the use of social media is effective in cultivating positive reading habits. The results of this study may be beneficial to educators in adapting the use of social media in teaching reading. It is suggested that further studies could be done to identify the social media platform that contributes towards pupils’ better reading habits.
Fake News Detection of Indian and United States Election Data using Machine Learning Algorithm
Authors:   Pursuing Masters of Technology (cyber security) from Central University of Punjab, Bathinda, Punjab, India., Kumar Anant , Singh Dr. Satwinder ,   Assistant Professor at Department of Computer Science and Technology, Central University of Punjab, Bathinda, Punjab,India., Mrs. Gurpreet  ,   Department of Law, Bathinda College of Law, Bathinda, Punjab,India.
Published: September 2019

The world of digital media is thriving by the day and hence, there is an urge of businesses to magnify it more gaining them maximum financial benefits. This particular urge calls for more and more expansions concerning creating and developing new content whether it's in the form of websites that aims at branding businesses or could be in the form of online newspapers and magazines. Since from last few decades’ medium of communication had changed. Now a day people are using social networks very extensively for news updates. These networks aim to make social lives better. Today, everyone knows and uses social media which contains unverified article, post, message and news. Nowadays' fake news is making various issues from mocking articles to a created news and plan government publicity in certain outlets. Fake news and the absence of trust in the media are developing issues with immense consequences in our general public. It is needed to look into how the techniques in the fields of computer science using machine learning, natural language processing helps us to detect fake news. Fake news is now observed as one of the major threats to freedom of expression, journalism, and democracy of a country. In this research, a comprehensive way of detecting fake news using machine learning model has been presented that is trained by Fake News data based on US election and trained on recent Indian political Fake news.
Identifying the Factors Influencing the Consumers Invariably To Make Brand Preferences among the Durables
Authors:   Faculty Member, Department of MBA, Aurora's PG College, Hyderabad, India., Kumar B. Mohan , Pinakapani P. ,   Faculty Member, Hyderabad Business School, GITAM University, Hyderabad, India.
Published: September 2019

The consumers concentrate on obtaining ideal consumer extra, be it durables or perhaps non-durables, while creating such expenditures to satisfy their desire. As an alternative, the on-line marketers conduct consistently seek maximization of income range for their survival and also development in the future. These twin paradoxical points (developers and likewise consumers) need to reach a trade-off at an element calling for a gratifying in addition to satisfying substitution of goods. With pinpointing and also comprehending the variables that influence their consumers, business possess the odds to establish a technique, an advertising information (Special Value Suggestion) and ad campaign even more trusted as well as additionally a lot extra based on the necessities and perspective of their aim at consumers.
An Improved Biometric Fusion System Based on Fingerprint and Face using Optimized Artificial Neural Network
Authors:   Department of Computer Science, JKG Panjab Technical University , Kapurthala Punjab, India, Kumar Tajinder , Bhushan Dr. Shashi ,   Department of Computer Science, Chandigarh Engineering Collage, Mohali, Punjab, India, Jangra Dr.Surendrer ,   Department of Computer Science GTBC, Bhawanigarh, Punjab, India
Published: September 2019

This research presents an improved biometric fusion system (IBFS) that integrates fingerprint and face as a subsystem. Two authentication systems, namely, Improved Fingerprint Recognition System (IFPRS) and Improved Face Recognition System (IFRS), are introduced respectively. For both, Atmospheric Light Adjustment (ALA) algorithm is used as an image quality enhancement technique for the improvement in visualization of acquired fingerprint and face data. Genetic Algorithm (GA) is used as an optimization algorithm with minutiae feature for IFPRS and Speed Up Robust Feature (SURF) for IFRS. Artificial Neural Network (ANN) is used as a classifier for IBFS. For the demonstration of the results, quality based parameters are computed, and in the end, a comparison is drawn to depict the efficiency of the work.The optimization techniques such as Particle Swarm Optimization (PSO) and BFO (Bacterial Foraging Optimization) has been considered to determine the effectiveness of the proposed model.The experimental results consider different parameters such as False Acceptance Rate (FAR), False Rejection Ratio (FRR), Accuracy and Execution time which shows that performance of the proposed model better than the other optimization models. In addition, to enhance robustness of the proposed structure, the results further compared with conventional technique which shows that accuracy has been improved by 2%.
Predicting the Symptoms of Cardio Vascular Disease using Machine Learning Technique
Authors:   Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India., Arasan K.Arunmozhi , Ramaraj E. ,   Professor and Head, Department of Computer Science, Alagappa Univeristy, Karaikudi, India., Muthukumaran S. ,   Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: September 2019

Heart disease is the top most reason for mortality in India. Cardio Vascular Disease is a type of heart disease and it refers to narrowed or blocked blood artery vessels that affect the flow of blood to and from the heart and rest of the parts of the human body. Globally 31% of the people died due to Cardio Vascular Disease per year. Blood pressure, diabetes, abnormal cholesterol increase, diabetes, hypertension are the risk factors for the Cardio Vascular Disease. This paper used a machine learning approach with C4.5 classifier to predict the reason for the Cardio Vascular Disease. The data used for this research was collected from private hospitals located in different districts of Tamil Nadu. The parameters which cause Cardio Vascular Disease are consulted with doctors and a dataset was formed with 18 parameters. Decision tree was obtained from the dataset using C4.5 algorithm and the reason for the cause of Cardio Vascular Disease was generated as rules from the Decision Tree. This extracted knowledge is used to predict the reason for Cardio Vascular Disease and prevents deaths due to heart disease.
Detecting Malicious Third-Party Auditor and Privacy Preserving Protocol for Public Cloud
Authors:   Research Scholar, Shri Jagdishprasad Jhabarmal Tibrewala University, Churela, Rajasthan., Rajani  , Rao Purna Chandra ,   Professor, Department of Computer Science and Engineering, SVIT, Hyderabad, India.
Published: September 2019

Cloud computing is an anticipated and an inevitable solution for large storage capacities, the virtual presence of ownership and universal accessibility which extends the boundaries of a user today. These benefits also open up a challenge for being too exposed for welcoming attackers to steal potential information from those cloud environments. Irrespective of types of data, information stored on these cloud environments vary from databases to the coding of software and raw and processed information of various organizations, including governments. To ensure confidentiality and integrity of data input from various users, cloud service providers employ third-party auditors to verify the safety measures are intact and maintained. As the name predicts, an auditor may not possess a responsibility to protect the data after their intended verification is over. Third-Party Auditors have the function of confirming that the saved data has the same integrity as of original data, does not seek any information shortly to disturb the integrity and finally do not introduce any loopholes for new attacking attempts from external sources. This proposal intends to derive a mechanism to limit the resources provided to third party auditors in the architecture. The location of data and users protected in this approach along with locking of data segments to enhance the security of the architecture. The simulation results compare the technique and prove that this method outperforms the previous techniques when addressing the sturdiness, communication complexity, and time consumption concerns.
Efficient Kernel Template AES Algorithm to Minimize Power Consumption and Maximize Security in Low Power Application
Authors:   Research Scholar, Department of Elect & Comm Engineering, Department of Elect & Comm Engineering, Veltech Rangarajan Dr.Sagunthala R& D, Inst. of science & Technology, Tamilnadu, India., Nandan V. , Rao R. Gowri Shankar ,   Associate Professor, Department of Physics, Veltech Rangarajan Dr.Sagunthula R& D , Inst. of Science & Technology, Tamil Nadu, India,
Published: September 2019

Cryptography involved in offering of secure data by generation of secret key through encryption process. At present, almost every applications require security scheme due to increased threats. Low power applications are limited to power sources where incorporation of attacks leads to certain challenges in terms of reduced throughput, data loss and increased power consumption hence it is necessary to adopt effective security scheme for low power application. Generally, in power circuits advanced encryption standard (AES) is incorporated which is defined as S-box. This substitution box is designed by 2 transformations (i.e) inversing the multiplication part in Galois field directed with modified affine transformation. The limitation of S-Box is more time and power consumption. In this paper, proposed a kernel based AES scheme for improving the performance of low power application. The proposed Kernal approach uses logic gate design with cipher text operation. The Kernel -AES technique is implemented in CMOS devices with 45nm standard cell technology. Results obtained for proposed Kernel-AES approach provides reduced power consumption rate of 28.5A which is comparatively less than conventional AES technique.
PSO Optimized Log Gabor QBIC System
Authors:   Department of EIE,GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh,India, Jyothi N. , Madhavi D. ,   Department of ECE,GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh,India
Published: September 2019

In modern years, there is substantially technical progression in research area pertaining to image retrieval, in specific Query By Image Content (QBIC) system. It has turned out to be essential to deliver adept and effective method to retrieve images from the gigantic collections of images utilized in heterogeneous applications. In this paper, a hybrid QBIC retrieval system known to be PSO optimized Log Gabor QBIC system that retrieves color features, texture features and shape features of the images in three consecutive stages has been developed. In the proposed system, color features are retrieved by means of color histogram in the first stage. In subsequent stage, the texture features are extracted by tuning Log Gabor filters using Particle Swarm Optimization(PSO). Lastly, shape features are retrieved by polygonal fitting algorithm. The recommended method displays enhanced retrieval rate in terms of mean recall and mean precision when compared to the prevailing standard systems.
Innovative Retention Strategies for BPO’S In Chennai
Authors:   College of Business Administration, Jazan University, Jazan, Kingdom of Soudi Arabia, Rahim Dr.Ahraf Ali Abdul
Published: September 2019

Human Capital is a significant resource for any association. It is the most pivotal asset on which the Information Technology and Information Technology Enabled Services (IT and ITES) depends. Holding data innovation and BPO segment workers has been an issue in numerous associations for a considerable length of time. The HR administrators have been confronting an extreme time in finding an appropriate supplanting with required involvement and capacity, to top off the opportunities made by virtue of exit of key workers. At the point when key delicate product engineers quit, they leave with basic learning of business procedures and frameworks that are basic for keeping up an upper hand. Consequently, it is basic to ensure this indispensable asset, as skilled and propelled workers assume a critical job in by and large improvement, development and achievement of the association. Concentrating on worker maintenance methods can decidedly affect the association as it expands representative efficiency, execution, notoriety of the association, nature of work, benefits, and lessens turnover and truancy. This examination comprehends the explanations for what reason do ITES experts switch their occupations, to know why maintenance is required and to comprehend the different techniques embraced by BPO area for holding their representatives.