bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Shock Advertisement on Consumer Behaviour
Authors:   Associate Professor, School of Management Studies, Mangalmay Institute of Management & Technology, Greater Noida. India, Tiwari* Dr. Munish Kumar , Kaur Dr. Jaspreet ,   Assistant Professor, School of Management Studies, Mangalmay Institute of Management & Technology, Greater Noida. India,, Manglik Mr. Amit ,   Assistant Professor, Management Department, Greater Noida Institute of Technology, Greater Noida., Goel Dr. Anshu ,   Associate Professor, School of Management Studies, Mangalmay Institute of Management & Technology, Greater Noida. India
Published: December 2019

The research paper analyzes the effect of shock advertising on the buying behaviour of consumer. Behavioural scientists confirmed that there is positive effect of shock techniques in advertisement influences the buying behaviour of consumer. The research paper analyzes the shock advertisement components which have a negative attitude or positive attitude of shock advertisement and its effect on buying behaviour of consumer. Literature reviews have shows that positive consumer attitudes and negative consumer attitudes related to shock advertisements are affected by cultural and socio-demographic factors such as religiosity, age, moral code of conduct, gender, individualism and collectivism, and language of high context or language of low context. The theoretical model is made related to social-cultural factors and socio-demographic factors, buying behaviour of consumer, and the perception of consumer related to shock advertisement. The research finding suggests that the content of shock in advertisement enhances the benefit memory, attention and affect the consumer behaviour.
Evoked Potential Detection using LMS Adaptive Wiener Filter and Wavelet Transform
Authors:   Research Scholar, ECE Dept, Acharya Institute of Technology, Bengaluru, India., N*. Mr. Bhargav , V.M. Dr. Vishwanatha ,   Professor & HOD, ECE Dept.,SLNCE, Raichur, India., M.L. Dr.Shailesh ,   Professor, BME Dept., Rajiv Gandhi Institute of Technology, Bengaluru, India.
Published: December 2019

Signal Processing utilizes scientific investigation and calculations to separate data concealed in signal got from different types of sensors. The Biomedical Signals are defiled by commotion and artifacts. In numerous applications, the ideal signal is not accessible or recognizable straightforwardly. The signal assessment issue is to recuperate in the most ideal manner conceivable, the ideal signal from its debased copy. When obtaining EEG (Electroencephalogram) evoked potentials from scalp electrodes, background activity and other noise is added to the signal. The Wavelet Transform system of estimation surpasses the SNR(Signal to Noise Ratio) by a huge value in just about one sweep of EP(Evoked Potential). The two diverse wavelet Transform systems, Daubechies wavelet transform and Biorthogonal wavelet transform have been discussed in this paper to improve SNR.
Development of Hybrid Contact Mode Triboelectric and Electromagnetic Energy Harvester
Authors:   Mechanical Engineering Department, College of Engineering, Universiti Tenaga Nasional, Azwan* M K , Salleh H ,   Institute of Sustainable Energy, Universiti Tenaga Nasional Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: December 2019

The aim of this study is to harvest sufficient amount of power to power up the low power sensor node by using vibration mechanism. The hybrid triboelectric (TENG) and electromagnetic (EMG) nanogenerator is needed to sustain the unlimited usage of energy.The testing for the TENG consisting of varying the air gap distance between the dielectric and the electrode, surface area of the triboelectric layers into a large and smaller surface. Whilst for the EMG, the testing is varying the number of coil turns for each big and small magnet size.At the frequency of 11Hz with the acceleration of 0.69ms-2, the optimum opened-circuit voltage, VOC produced for TENG is 3.97V while for the EMG is 1.85V. The hybrid nanogenerator produced 2.071mW of power with a resistance of 1kΩ. The power density obtained from the prototype is 2.6059Wm-3 which is enough to power up the low power sensor node.
E-Business Innovation Model of Setiu Wetland Resources for Women Entrepreneurship Program
Authors:   Faculty of Ocean Engineering & Informatics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia., Man Mustafa , Abu Bakar Wan Aezwani Wan ,   Faculty of Informatics & Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia., Muhamad Suriyani Bt ,   Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Malaysia., Hj Ali Noraida Bt ,   Faculty of Ocean Engineering & Informatics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia., Jalil Masita@Masila Bt Abd. ,   Faculty of Ocean Engineering & Informatics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia.
Published: December 2019

Setiu Wetland (SW) is located in Terengganu, Malaysia where it is enriched with vast variety of natural resources. Most SW rural women are doing small medium business with own special skills to help family in their living. They do have skills in utilizing SW resources but lack in proper marketing strategy for their business growth. The paper presents the results of Niche Research Grant Scheme (NRGS) project of UMT for improving the livelihood of Setiu Wetland (SW) rural women entrepreneurship skills through an e-business social innovation model. This project undertakes selected women respondents in giving assistance through the use of social media networking application in marketing of their local products, thus improving their financial stability. The results on income projection in pre and post implementation of the e-business model among SW women shows a significant improvement to their financial growth. It proves that the model has achieved the objective of improving the livelihood of Setiu Wetland (SW) women entrepreneurship program.
Next Generation Logic Gate Designs using Improved Polarity Control Bipolar Junction Transistor
Authors:   department of E&TC, VPKBIET Baramati, Pune, India., Bramhane* Lokesh Kumar , Chede Santosh D. ,   Department of E&TC, VPKBIET Baramati, Pune, India., Kadbe Premanand K. ,   Department of E&TC, VPKBIET Baramati, Pune, India., Patil Balasaheb ,   department of E&TC, VPKBIET Baramati, Pune, India., Lande S. B. ,   department of E&TC, VPKBIET Baramati, Pune, India.
Published: December 2019

In this paper, we have proposed a dopingless reconfigurable polarity control bipolar junction transistor (PC-BJT) with enhanced current gain and currentoff frequency. It can be used as both n-i-n or p-i-p type transistors by applying an appropriate voltage (±1 V) on its polarity control electrodes. It is very first time that BJTs are used to implemented in XOR logic gate design with the concepts of reconfigurability and polarity control electrodes. For this, a new symbol is introduced to demonstrate the behavior of logic gates. Moreover, series and parallel combination of the proposed device exhibits the behavior of two-input NAND-NOR (PC=+1 V) and AND-OR (PC=-1 V) gates. Moreover, the proposed device exhibits the low on-time voltage and improved breakdown voltage compared to the conventional PC-BJT.
Compensation of Power Quality using Solar-Powered Distributed Generation Interfaced by Fuzzy Logic Controlled Inverter to the Main Grid
Authors:   Department of Air conditioning and Refrigeration Technical Engineering, Al-Mustaqbal University College, Babylon, Iraq., AlKawak* Omar A.
Published: December 2019

This paper presents a distribution static compensation (DSTATCOM) schematic for grid interconnected DG implementing solar energy to be interfaced by an inverter that uses advanced controller, which will mainly compensate power quality issues, providing active power to the grid when needed such as peak times and cutoffs, also to eliminate current harmonics at the distribution stage, in addition to compensating current unbalance at the neutral line in grids that uses three phase four wire system, the inverter involved can effectively be utilized to perform such tasks with the ability of fuzzy logic as a controller to deal with rough and sudden data, particularly when the models or the procedures are too complex to be dealt with by other controllers, which made it very suitable for this application to control the voltage of the renewable energy resources (RES) ,the Schematic is simulated using MATLAB/SIMULINK to verify the proposed outcome of this method and the results shows a fast dynamic response and high accuracy tracking the voltage of (RES) and maintained regulation to several loads variation.
Managerial Entrepreneurial Competencies Required By Technical College Students: Pilot Test
Authors:   Federal College of Education (Technical), Bichi Kano Nigeria. Technical and Engineering Education Department, School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Malaysia., Muhammad* Abubakar Ibrahim , Kamin Yusri Bin ,   Technical and Engineering Education Department, School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Malaysia., Abd.Wahid Nur Husna Binti ,   Technical and Engineering Education Department, School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Malaysia., Al-Rahmi Waleed Mugahed ,   Technical and Engineering Education Department, School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Malaysia.
Published: December 2019

Technical college curriculum is lacking entrepreneurial competencies required by the technical college students to become entrepreneurs upon graduation. The purpose of the study was to ascertain entrepreneurial competencies need by technical college students in Nigeria. The study was guided by a research question. A descriptive survey research was used in the study. The study population consists of 15 technical teachers. The tool used for the study was a structured questionnaire validated by three experts. The Cronbach Alpha reliability method was adopted to ascertain the internal consistency of the instrument that produced a reliability coefficient of 0.70. The collected data were analysed by means of mean and standard deviation to answer the research question. The values found for the Cronbach’s Alpha allow the research to conclude that the instrument applied is reliable regarding technical teachers perception on the entrepreneurial competencies required for integration into technical college program. The study revealed that technical college students required entrepreneurial managerial competencies for self-employment. Therefore, the instrument can be used in context of entrepreneurial competencies integration and reveal the specific elements of entrepreneurial competencies. The future aim of the study is to compare and contrast the instrument with another entrepreneurial competencies component.
Factors Influencing Spot and Forward Freight Rates in Indian Logistics Industry
Authors:   Research Scholar, Amity University, Noida, Manocha* Tanu , Sahni Dr. M. ,   Professor and DSW at Amity University, Noida
Published: December 2019

Logistics sector plays an important role in the economics of every country. The logistics sector in India is expected to grow to USD 215 billion by 2020, employing more than 22 million people. A separate logistics division has been put in place in the Ministry of Commerce & Industry. The growth in Indian trade and commerce is also anticipated to be equally positive. The logistics sector in India has shown a significant development over the years and has also encouraged the technology enabled start up s which has provided a big opportunity of providing seamless movements of goods across the country. In this sector there are multiple factors which drive it towards its growth and boom. As a result, in movement of freight, freight forwarders and price plays an important role. Price volatility is the most significant issue for logistics market and for the clients using the logistics services. The challenge is to study and identify the various factors influencing the spot and forward freight rates. The questionnaire was developed to carry out the research and data was collected from the freight forwarders in Delhi. Factor analysis method is used in order to identify the key factors. Nine factors were identified as mode of transport, Distance, speed and time, Fuel price and Capacity, technological Advancements, Government Policies, Environmental Issues and Market Structure. To further analyse the data descriptive analysis was done. It was found that these nine factors have a significant impact on spot and forward freight rate which can be considered and implemented in order to maintain, enhance and achieve competitive advantage in domestic and international business.
Economic Growth and Unemployment Nexus in USA
Authors:   PhD Scholar, Department of Humanities and Social Sciences, National Institute of Technology Durgapur, West Bengal 713209, India., Howlader Asoke , Sankar Sidhartha ,   Assistant Professor, Department of Economics, Tufanganj Mahavidyalaya, Cooch Behar, West Bengal 736160, India, Modak Laha Arindam ,   Associate Professor, Department of Humanities and Social Sciences, National Institute of Technology Durgapur, West Bengal 713209, India
Published: December 2019

Empirical relationship between unemployment and growth is not pronounced as we investigate the economic scenario of the nations. Author attempted to relate US unemployment rate to the growth during 1948-2016 by using bivariate and log regression models, Bai-Perron Model, Granger Causality test, Johansen cointegration test, vector auto regression and vector error correction models. Even, author also verified relationship between unemployment gap, output gap and growth in USA during the same period. Data on US unemployment rate, GDP and growth rate have been taken from Bureau of US census during 1948-2016. Data on US natural rate of unemployment was taken from Fed Bank of St.Louis from 1949 to 2016.The paper concludes that US unemployment rate is increasing at the rate of 0.507 per cent per annum and it has upward structural break in 1971.The nexus follows the Okun’s law in USA. US unemployment is negatively related with growth rate during 1948-2016.Their relationships are causal and cointegrated. VAR model is stable and stationary. Residual test showed non-normality and autocorrelations.Moreover, author showed negative relation between growth and unemployment gap in USA during 1949-2016.They have no causality and cointegration. Their VAR model is stable and stationary. The residual test proved non-normality and auto-correlation problems. Perceptible output gap influences unemployment gap negatively during 1949-2016 .It has significant bi-directional causality and one cointegrating equation. In Vector error correction model, error corrections are significant with high speed having stability, autocorrelation and non-normality. The rate of decline in unemployment rate due to increased growth rate in USA during 1948-2016 was marginal.
High Quality Color Image Compression for Discrete Transform Domain Downward Conversion Block Based Image Coding
Authors:   Scholar, Department of Computer Science & Engineering, Technocrats Institute of Technology & Science, Bhopal., Gupta* Deepak Kumar , Gupta Dr. Neetesh Kumar ,   Scholar, Department of Computer Science & Engineering, Technocrats Institute of Technology & Science, Bhopal.
Published: December 2019

Text and image data are important elements for information processing almost in all the computer applications. Uncompressed image or text data require high transmission bandwidth and significant storage capacity. Designing and compression scheme is more critical with the recent growth of computer applications. Among the various spatial domain image compression techniques, multi-level Block partition Coding (ML-BTC) is one of the best methods which has the least computational complexity. The parameters such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are measured and it is found that the implemented methods of BTC are superior to the traditional BTC. This paves the way for a nearly error free and compressed transmission of the images through the communication channel.
Factors Affecting the Integrity of Manufacturing Company Financial Statements in Indonesian Stock Exchange and Malaysian Stock Exchange
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Fauziah Syarifah Nurul , Panggabean* Rosinta Ria ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
Published: December 2019

This study aims to examine the effect of managerial ownership, auditors switching and intellectual capital on the integrity of financial statements with leverage and firm size as control variables. The study employed literature and observation study of the research object to obtain the research data. The research objects are manufacturing companies listed on IDX and MYX within the period of 2014-2017. Research data were analyzed using Eviews software with multiple linear regression analysis method. In this study the t statistical test is used to measure and assess the significance level of each independent variable (managerial ownership, auditor switching and intellectual capital) and control variables (firm size and leverage) on the dependent variable, namely the integrity of financial statements applied in Indonesia and Malaysia. The results showed that in the Indonesian manufacturing companies, managerial ownership, auditors switching and intellectual capital have a positive effect on the integrity of financial statements. Meanwhile, in the Malaysian manufacturing companies, from the three dependent variables used in the study, only managerial ownership has an effect on the integrity of financial statements. With regard to the control variables used, leverage and firm size are equally positive for the integrity of financial statements of companies just in Indonesia. This research is different from the previous study in that the objects of this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) and Bursa Malaysia (MYX) within the period of 2014-2017, which is a longer period of time. Further, the researchers add independent variables to managerial ownership, auditor switching, and intellectual capital
Automatic Generation Control in a Smart Grid using Electrical vehicle as a Battery Energy Storage System
Authors:   Electrical Engineering department, BVM Engineering College, Vallabh Vidyanagar, India., Prajapati* Yogesh R , Kamat Vithal N ,   Director, Baroda Meters Limited, Vithal Udyognagar, India., Patel Jatinkumar J ,   Electrical Engineering department, G H Patel College of Engineering and Technology, Vallabh Vidyanagar, India.
Published: December 2019

The Load Frequency Control (LFC) problem in a smart grid is presented in this paper. For the visualization of the problem, an isolated two area restructured power system contains thermal-thermal non-reheat unit with distributed wind energy system considered. In the study presented here efforts have been put to visualize and realize the LFC problem because of sudden load variation and uneven wind power in the smart grid. The generators are assumed working in Automatic Generation Control (AGC) mode under the bilateral market contract to meet the load demand. For visualization of load frequency control problem with local load variation of +20% and wind power which further add in sudden load deviation has been considered. Generators running under AGC mode are facing the cyclic and random load frequency fluctuations due to this sudden load variation and grid-connected wind power. In this way to enhance the solution the grid-connected aggregated EV batteries are used in distribution areas in the simulation with charging and discharging mode as distributed battery energy storage. The effect of grid-connected EV has studied for the improvement in stability as well as system dynamic response. From the results it is observed that the peak overshoots and settling time in load frequency fluctuations have minimized during the sudden load variation and wind power fluctuations.
Recent Analysis of Green Energy Technology (GET) for Telecom Applications
Authors:   Department of EEE, Vel Tech MultiTech, Dr.Rangarajan Dr. Sakunthala Engineering College, Avadi Chennai, Sivarajan* S. , Manikandan S. ,   Department of EEE, Balaji Institute of Technology And Science, Warangal, Telungana,, Rajeshkumar T. ,   Department of EEE, Balaji Institute of Technology And Science,Warangal,Telungana, Reddy R.Ranadheer ,   Department of EEE, Balaji Institute of Technology and Science, Warangal, Telungana
Published: December 2019

There is strong must be constrained to build up a practical independent power exchange that serves the open enthusiasm by giving productive power through the ecologically mindful and affordable improvement of the available vitality assets. To spot light the green energy technology (GET) with regard to need, sorts of GETs, highlights, planning boundaries, applications, disadvantages, challenges, and so on is the other target of this paper. GETs are helpful to continue setting as perfect and unpracticed and also they are treated as simple power hotspots for media transmission or elective applications. we can utilize the green media applications for telecommunication systems. The power exchange ought to be worried by change age sources to a property sources and managing clients to help them avail vitality a great deal of quickly. Green telecom technology has been utilizing greatly to advertise carbon flightiness inside the telecom exchange. Ecological issues of sustainable power source have been expanding rapidly. Although there are some issues and difficulties with the edge of boundaries in usage but the green energy technologies territory unit immediately available inside the market.
The Relationship Among Superleader, Perceived Organizational Support and Work Performance Mediated By Work Satisfaction and Employee Engagement
Authors:   Lecturer, University of Merdeka Malang, Indonesia., Fristin* Yuntawati , Nimran Umar ,   Lecturer, University of Brawijaya Malang, Malang, Indonesia., Musadieq M. Al ,   Lecturer, University of Brawijaya Malang, Malang, Indonesia, Utami Dr. Hamidah Nayat ,   Lecturer, University of Merdeka Malang, Malang, Indonesia.
Published: December 2019

The research aims to analyze and explain the effect of Superleader on Employee Engagement; the effect of Superleader on work satisfaction; the effect of Superleader on work performance; the effect of Perceived Organizational Support on Employee Engagement, the effect of Perceived Organizational Support on work satisfaction; the effect of job satisfaction on Employee Engagement; the effect of job satisfaction on work performance and the effect of Employee Engagement on work performance. The number of samples used in this research was 240 people. The data was analyzed by using Generalized Structured Component Analysis (GSCA). The result shows that Superleader had both positive and significant effect on work performance, Superleader led significantly to Employee Engagement, Superleader had positive effect but insignificant on work performance, Perceived Organizational Support had a positive and significant relationship on job satisfaction, Perceived Organizational Support had positive and significant effect on Employee Engagement, Perceived Organizational Support led positively but insignificantly to work performance, Job Satisfaction led to Employee Engagement both positively and significantly, Job Satisfaction had a positive and significant effect as well on work performance. While the indirect relationship between Superleader and Performance mediated by Satisfaction based on Sobel test showed insignificant effect. The insignificant effect of Perceived Organizational Support variable on Performance mediated by Satisfaction showed significant result. Moreover, the indirect effect between Perceived Organizational Support variable on Performance mediated by Employee Engagement also indicateed a significant result.
Estimating Actual Evapotranspiration over a Large and Complex Irrigation System of the Nile Delta in Egypt
Authors:   National Water Research Center (NWRC), Cairo, Egypt., Omar* Mohie Eldin Mohamed , Elhamid Ahmed Medhat Ismail Abd ,   National Water Research Center (NWRC), Cairo, Egypt., Zayed Islam Sabry Al ,   National Water Research Center (NWRC), Cairo, Egypt.
Published: December 2019

In the Nile Delta region of Egypt, measurements of Actual Evapotranspiration (ETa) and Potential Evapotranspiration (ETp) are difficult, expensive and labor-intensive. The current paper aimed at finding the superior method for estimating the ETa and ETa/ETp in the Nile Delta governorates by comparing different methods. Three different methods were used for ETa estimates being; Remote Sensing approach by Moderate Resolution Imaging Spectroradiometer (MODIS) ETa-product (MOD16A2), FAO (33) method, and Irrigation Water Balance Calculation (IWBC) method. The three ETa methods were applied for five governorates in 2017, where the data for IWBC were available. However, only MOD16A2 was compared with FAO (33) for ETa/ETp ratio and the two selected methods were applied for all eight Nile Delta governorates for the period of 2008 -2017. The MOD16A2 product was derived from the MODIS satellite images using an improved evapotranspiration algorithm based on the Penman-Monteith equation. FAO (33) was based on the relationship between the relative yield loss of any crop to relative reduction of water consumption. The IWBC required estimation of both; the field application and conveyance water losses as the only unknown elements of irrigation water balance in Delta governorates. For comparison between applied methods, descriptive statistics, analysis of variance (ANOVA) for checking difference, and cluster analysis were applied. The results showed a significant difference values between MOD16A2 and FAO (33) for estimating ETa/ETp ratios. However, the difference for ETa estimation was insignificant between the three methods indicating a significant relationship, with a strong correlation between MOD16A2 and IWBC. It was observed that ETa values were impacted by the cropping pattern, since they were very close in governorates having the same dominant crops. In conclusion, both MOD16A2 and IWBC can be utilized for ETa estimation. Both MOD16A2 and FAO (33) are not confirmed for estimation of ETa/ETp ratio due to the significant difference between both results. FAO (33) cannot be utilized for both ETa and ETa/ETp ratio estimates. Further data collection and investigation on ETa and ETp estimates methods are recommended.
Exploration of Detection Method of Clone Attack in Wireless Sensor Network
Authors:   Ph.D. Research Scholar, CSE, IKGPTU, Kapurthala, India., Lalar* Sachin , Bhushan Shashi ,   Professor, I.T., CGC, Landran, Punjab, India., A.P. Surender ,   Computer Appl GTB, Bhawanigarh, India.
Published: December 2019

Wireless sensor networks have a lot of sensor nodes that are small, cheap and resource-constraints, but are often used to perform various monitoring operations in unmanned and demanding environments. Networks are vulnerable to different application-based and application-independent attacks. We examine node replication attacks, which are typical threats in the sensor network. In this attack, the enemy generates its own sensor node using stealing sensor from network. The attacker physically occupies the node, takes his secret credentials, and duplicates a large number of nodes with some controlled counterparts. The defense against clone node attacks has become an important research element in the safety of the sensor network. In this study, we classify and examine the different proposals in each category. We also compare the memory and communication cost of different clone node detection approach.
Improved Text Mining Algorithm for Fault Detection using Combined D-Matrix
Authors:   Hindustan Institute of Technology and Science, Padur, Chennai. India., Ramdasi* Ashish P. , Mehata K. M. ,   Hindustan Institute of Technology and Science, Padur, Chennai, India.
Published: December 2019

Systematic diagnostic version of Fault dependency (D-matrix) mostly use for setup the fault method records and its contributing courting on the classified system-degree. It includes dependencies and association between recognizable failure approaches and signs and symptoms related to a machine. Proposed system in this paper describes an relations of domain primarily based textual content repository for construction and renovate combined data dependency matrix through mining lacks of the tuple exact unstructured text ,cumulative during the analysis incidents. Here paradigm is combined D matrix and then fault analysis through textual content mining using advance data preprocessing technique approach to pick out dependencies. Using real-existence statistics accumulated and validated in proposed method.
Effect of Perforation Shapes on the Heat Transfer Characteristic of Perforated Fins
Authors:   B.Tech (Mechanical) from Babu Banarasi Das Northern India Institute of Technology, Lucknow, Dubey* Chandra Kumar , Singh Anand Kumar ,   Assistant Professor of Mechanical Engineering at Institute of Engineering & Technology (IET), Lucknow., Sinha Shailendra ,   Professor of Mechanical engineering at Institute of Enginering & Technology (IET), Lucknow.
Published: December 2019

A large number of engineering applications required rapid heat dissipation from its surface. This is achieved by the use of the fins i.e. increasing the surface area. Enhancement of heat transfer and reduction in the weight is the major criteria for designing the fins. The main objective of this project is to enhance the heat transfer through the use of perforated fin. A large number of study have been conducted on shape modification by cutting some material from fins to make holes, cavity, slots, groves or channel through the fin body to increase flow area. A rectangular fin of dimension 100 mm. x 200 mm. x 2 mm. and area of perforation is 100 mm2 was selected. The number of perforation was varied from 20, 28, 36 and 44. It was found that maximum temperature drop occurred with 44 perforations. With the same fin with 44 perforation, temperature drop and heat transfer was analysed for different shapes (circular, square, oriented square, pentagon and elliptical) of perforation. I was found that in case of different shape of perforation with same cross sectional area, weight is nearly reduced by 28.42 % for elliptical perforation (a/b>3) was most effective in which 32.20 % more temperature drop and maximum average heat flux as compared to other perforation shape.
Drought Forecasting using Wavelet-GMDH Model with Standardized Precipitation Index
Authors:   Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia, Alfa* Mohammed Salisu , Shabri Ani Bin ,   Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia, Shaari Muhammad Akram ,   School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia
Published: December 2019

This paper proposes Wavelet-Group Methods of Data Handling (W-GMDH) model to explore its ability of drought forecasting. The W-GMDH model was developed by combining Discrete Wavelet Transform (DWT) and GMDH model using the Standardized Precipitation Index (SPI) drought data for forecasting to assess the effectiveness of the new (W-GMDH) model. These methods were used on four SPI data sets (SPI3, SPI6, SPI9 and SPI12). To achieve this, a 624 month of SPI data from January 1956 to December 2008 was used and divided into two parts (80% for training and 20% for testing). The results of the W-GMDH model were then compared with the conventional GMDH model using Root Mean Square Error (RMSE), Mean Average Error (MAE) and coefficient of correlation as the performance evaluation measures. Both results of the proposed W-GMDH model and the GMDH showed very clearly that the propose method can achieve the best forecasting performance in terms of accuracy for each of the SPI data series. The key role played by the DWT is to smooth the analysis of SPI data obtained after the wavelet decomposition which is also used to decompose the SPI data into different number of component series to minimize the forecasting error. In all the results computed, the proposed model has a minimum error indicating its superiority over the GMDH model. This indicates that W-GMDH model’s performance has outweighed that of the conventional GMDH model in SPI drought forecasting. The research contributes to the discovering of viable forecasting of drought and demonstrates that the established model is good and appropriate for drought. In all the analysis W-GMDH model has the minimum error. The overall results showed that SPI12 has the minimum error among all the SPI data considered.
Intelligent Assistive System for Visually Disabled Persons
Authors:   Professor in ECE, Vardhaman College of Engineering, Hyderabad, India., Kumar* Dr.G.A.E. Satish , Munindhar Mr.M. ,   pursuing M.Tech from Vardhaman college of engineering,shamshabad,Hyderabad.
Published: December 2019

There is increasin demand for smart widgets which make people more comfortable. Though many research works have done on current existing devices/systems for visually impaired people are not providing facilities them enough. The imperceptible people read Braille scripted books only, so here developing a new device that will assist the visually impaired people and also providing desired language reading facility. This smart assistive device will help visually impaired people gain increased independence and freedom in society. This device has an obstacle detection sensor to intimate the obstacles to the visually impaired person and a camera connected to Raspberry pi to convert image to text using Optical Character Recognition (OCR). The read data is converted to speech using text to speech synthesizer. This will useful for visually impaired people for surviving in outdoor environment as well as reading books which are in normal script. The read data can be stored in database for further reading and it can be retrieve by giving a command.
Effect of Different Thermal and Non-Thermal Treatments on Total Phenols and Antioxidant Content of Soybean
Authors:   Food processing, Indian Institute of Technology, Kharagpur, India., Kumar Rahul , Rao* P. Srinivasa ,   Food processing, Indian Institute of Technology, Kharagpur, India.
Published: December 2019

Soybean is the most explored commodity for protein and fat as well as for obtaining products like soymilk and tofu. However, the presence ofanti-nutritional factors in soybean is not favorableand these are needed to be inactivated. Similarly, soybean is known for potential source of isoflavones, total phenolics and antioxidants.To inactivate anti-nutritional factorsdifferent treatments had been applied and consequently their corresponding effect on total phenolics (TP) and antioxidant capacity (AOC) were studied. High Pressure Processing (HPP), autoclave and microwave boiling treatments wereemployed to the soybean samples in soaked condition, and correspondingly their TP and AOC were estimated. HPP was not observed to affect the TP and AOC content significantly. The microwave treatment was observed to be affecting the TP and AOC but did not exhibit any severe effect while autoclave boiling lead to degradation of the bioactive by more than 50% and it was found to be severe. Conclusively, HPP was found to be suitable treatment to inactivate anti-nutritional factor and retain the bioactives like TP and AOC. The most elevated concentration of phenolic was acquired for HPP treatment at 400 Mpa for 10 min (1.88 mg/100g of the sample) and was almost similar to 400 Mpa for 5 min(1.87 mg /100g of the sample) and was observed that at higher pressure treatment time was not significant. The antioxidant capacity of the grains was similarly affected by the other processing techniques, but maximum was observed for raw sample (230.56 mg/100g of the sample). The autoclaveboilingimpaired severely total phenolics, and antioxidant capacity and it was observed to be 1.07mg/100 g of sample and 94.77 mg/100 g of the sample, respectively.
Virtual Machine Migration in Cloud Computing using Artificial Intelligence
Authors:   Research Scholar, CSE Department, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India., Sultanpure* Kavita A. , Reddy Dr. L.S.S. ,   Vice Chancellor, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
Published: December 2019

Cloud Computing is known as the most fast evolving computing platform which is the future of supercomputing. A time will come when everyone would be on the cloud network and at that time, it would be essential for the cloud network to perform well. Cloud is also a computing server and hence, it takes every order as million instruction set. These instruction sets are often referred as Jobs. Scheduling an instruction set or job requires a lot of computing and one wrong placement may lead to wastage of energy units. The proposed work has taken these matters in a very serious manner and has designed an architecture diagram which deal with the job scheduling process from start to end. The proposed algorithm covers placement of the job at server, monitoring of the server to prevent them from overloading and when they are exhausted from jobs, the creation of Virtual Machine. The presented algorithm improves the Modified Best Fit Decreasing Algorithm by introducing artificial intelligence to it. Job handling has been done by using one of the finest swarm intelligence techniques known as Cuckoo search Algorithm that monitors the performance of the servers or host in order to check that they do not get overloaded. The proposed architecture has been evaluated on the basis of energy consumption, Service Level Agreement violation and total number of migrations.
Improving Population’s Quality of Life and Regional Development
Authors:   Vladivostok State University of Economics and Service,Vladivostok, Russia., Mazelis* Lev Solomonovich , Solodukhin Konstantin Sergeevich ,   Vladivostok State University of Economics and Service, Vladivostok, Russia., Stepanova Alena Sergeevna ,   Vladivostok State University of Economics and Service, Vladivostok, Russia.
Published: December 2019

The authors offer conceptual development model of population’s quality of life in the region reflecting interrelations between the public and private investments in improvement of quality of life, quality of life, regional human capital, and social and economic development of the region. The peculiarity of the model is its multiperiodicity, which is used to reflect the influence of certain parameters of the system on other parameters in the dynamic mode. The authors distinguish sets of indicators reflecting population’s quality of life, social and economic development of the region, regional human capital, and demography of the region, as well as describe the factors influencing the formation of the quality of life in the region, and the factors, which are influenced by the quality of life. The following channels of influence are defined, namely, the effect of different areas of investments on the indicators of quality of life of the population and the region's human capital; the influence of indicators of population’s quality of life on regional human capital; the effect of quality of life on indicators of socio-economic development of the region; and the influence of indicators of quality of life and development of the region on demographic parameters of the region. The cluster analysis of the Russian regions in terms of the quality of life of the population is carried out. In total, 32 indicators reflecting the quality of life over 2011-2017 in 81 regions of Russia were used as a data set, which was processed and analyzed by means of STATISTICA software package. The article presents qualitative description of the constructed clusters, defines their characteristic features and differences. In the future, in order to operationalize the conceptual model, it is necessary to carry out a quantitative description of the channels of influence in the form of econometric models.
The Impact and Issues of E-Learning with Saudi Arabian Universities and Schools a Systematic Literature Evaluation
Authors:   Computer Department, Community College, Imam Abdul Rahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia., Hussain* Sajithunisa , Khan Rubina ,   Computer Department, Community College, Imam Abdul Rahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Published: December 2019

E-Learning plays a significant part in the educational field. Many Arab institutions follow the style of E-Learning under field education. Many papers have been showed to understand the role of E-Learning. This paper focuses on Saudi Arabian Schools and Universities regarding their development in E-Learning and the issues faced in the institutions while experiencing it. It is based on Systematic literature review of E-Learning research by collecting and reviewing the studies published from the year 2018 till 2010 to know the situation of E-Learning inside Saudi Arabian schools as well as Universities. This Paper identified around 45 studies which addressed E-Learning. It reflects that the E-Learning has shown a massive development in the past 2 years. The paper covered the research themes such as E-Learning, Students, Schools, Universities and Kingdom of Saudi Arabia (KSA). It also states the situation in E-Learning under educational sectors of KSA and their issues faced among the people which can be focused and concluded as a part of future research.
Denoising and Analysis of ECG Signal using Wavelet Transform for Detection of Arrhythmia
Authors:   Department of Electronics and Telecommunication, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India., Hudnurkar* Shilpa , Wanchoo Ankita ,   Department of Electronics and Telecommunication, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.
Published: December 2019

Electrocardiography is fundamental in the observation of heart function and diagnosis of diseases related to it. It involves measurement of very small bioelectric signals (in millivolts) produced by the human heart during its opening and closing of valves in atria and ventricle and is represented on a scaled paper. P, QRS, and T wave annotations by cardiologists then help in the diagnosis of the patient. Due to the electrical activity of muscles (EMG), instability of electrode-skin contact and patient movement, the noise gets induced during the plotting of the electrocardiogram (ECG). It is important to remove the noise from this signal as it is a signal having very small amplitude and different frequencies repeated almost every second. For such nonstationary biosignals, Wavelet Transform (WT) can be used. In this study, Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT) are used to denoise and extract features from the ECG, respectively. The features extracted from DWT are used as input to Artificial Neural Network (ANN) for the classification of normal and abnormal ECG. Abnormal ECGs are further classified into tachycardia and bradycardia. The results show that ANN can classify ECGs with high accuracy. The data used for this study is from the MIT-BIH Arrhythmia Database Directory.
Factors Affecting the Interests of Junior High School Students to Continue to High School of Automotive Engineering
Authors:   Postgraduate Program, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Zaman* Fajrin Sidiq Muzaffarul , Arifin Zaenal ,   Faculty of Engineering, Universitas Negeri Yogyakarta, Indonesia., Rohmantoro Didik ,   Technology Vocational Education Of Automotive, Universitas PGRI Yogyakarta, Yogyakarta, Indonesia.
Published: December 2019

The purpose of this study is to find out how much interest students have in choosing to continue their studies at the vocational high school of light vehicle engineering expertise in bantul regency, seen from (1) individual students; (2) parents' encouragement; (3) environment; (4) mass media information. The study population was all students of the vocational high school of light vehicle expertise in bantul regency. Sampling was carried out using two stages, namely cluster sampling and random sampling using the formula krejcie and morgan with an error rate of 5%, a sample of 221 students were taken from six vocational high schools in bantul district. Data collection is determined using a questionnaire. Data analysis techniques include simple regression analysis and multiple regression. The results showed that: (1) there was a significant positive effect on the individual character of students on the students' interest in choosing to continue their studies at the vocational high vocational light vehicle engineering package in bantul by 41.6%; (2) there is a significant positive effect of parents 'encouragement on students' interest in choosing to continue their studies to a high vocational school of light vehicle engineering expertise in bantul by 48.8%; (3) there is a significant positive effect on the students 'environment on the students' interest in choosing to continue their studies at the vocational high school of light vehicle engineering expertise in bantul by 46.6%; (4) there is a significant positive effect of mass media information on students' interest in choosing to continue their studies at the vocational high school of light vehicle engineering expertise in bantul by 40.2%
Bayesian Time Series Modelling of the Italian Daily Rainfall Data using Mixed Distribution
Authors:   Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan., Bin Ibrahim* Muhammad Safwan , Jalal Abdul ,   School of Mathematics, Statistics and Physics, Newcastle University, Newcastle Upon Tyne, NE1 7RU United Kingdom.
Published: December 2019

A combination of continuous and discrete elements is referred to as a mixed distribution. For example, daily rainfall data consist of zero and positive values. We aim to develop a Bayesian time series model that captures the evolution of the daily rainfall data in Italy, focussing on directly linking the amount and occurrence of rainfall. Two gamma (G1 and G2) distributions with different parameterisations and lognormal distribution were investigated to identify the ideal distribution representing the amount process. Truncated Fourier series was used to incorporate the seasonal effects which captures the variability in daily rainfall amounts throughout the year. A first-order Markov chain was used to model rainfall occurrence conditional on the presence or absence of rainfall on the previous day. We also built a hierarchical prior structure to represent our subjective beliefs and capture the initial uncertainties of the unknown model parameters for both amount and occurrence processes. The daily rainfall data from Urbino rain gauge station in Italy were then used to demonstrate the applicability of our proposed methods. Residual analysis and posterior predictive checking method were utilised to assess the adequacy of model fit. In conclusion, we clearly found that our proposed method satisfactorily and accurately fits the Italian daily rainfall data. The gamma distribution was found to be the ideal probability density function to represent the amount of daily rainfall.