bluuebunny/crossref_metadata_2025 huggingface dataset:
KONSTRUKSI DAN ANALISIS MODEL MATEMATIKA RADIKALISME
Authors: Ariyanto Ariyanto
Published: December 2019

An increase in the number of cases related to  radicalism in Indonesia is an early warning for the government and is very dangerous for the lives of Indonesian people including the Bima community. Therefore, an anticipated strategy is required to determine the best control of the radicalism. This study aims: (1) to determine the attitude of university student radicalism in the City of Bima, (2) build a mathematical model that is in line with the problem of radicalism in the City of Bima, and (3) to construct the reproduction number  from the mathematical model of radicalism, and use the  to explain the dynamics of the spread of radicalism in the city of Bima. The following results have been obtained: (1) STKIP Bima students' perceptions of radicalism are categorized into three groups, namely the healthy group of 295 people (12%), the neutral group of 1,768 people (72%), and the radicalism (in perception) group of 393 people ( 16%), (2) The mathematical model has been validated against the real data obtained from the STKIP Bima student population in 2019. It shows that if the chance of moving individuals from neutral groups to radical groups is greater or equal with the opportunity of individuals from neutral groups to healthy groups, one person who believes in radicalism can produce four to five new individuals who understand radicalism.
Uso do Cisco Packet Tracer como ferramenta no ensino-aprendizagem de Redes de Computadores no IFRN – Campus Mossoró
Authors: Tertulino da Silva Rodrigo Ronner , Oliveira Celina Leite de , Da Silva Claudio Peixoto , Couto Beatriz Costa
Published: December 2019

Este trabalho tem por objetivo investigar as contribuições do uso de softwares simuladores de redes, mais especificamente o Cisco Packet Tracer, como ferramenta no ensino-aprendizagem da disciplina de Redes, no IFRN - Campus Mossoró. A análise da pesquisa ocorre por meio das informações colhidas a partir da aplicação de um questionário destinado aos alunos do curso de Informática, nas modalidades técnico integrado e subsequente, com cunho quali-quantitativa.
Anatomization of Cost and Time Control Factors in Construction
Authors:   Student, SOCE, SASTRA Deemed to be University, Thanjavur, 613401, India, Prem F* Helis Joseph , Mathivanan* Mahalakshmi ,   Faculty, SOCE, SASTRA Deemed to be University, Thanjavur, 613401, India
Published: December 2019

The Cost escalation and Time overrun has become the common problem in various construction projects across the world which are forcing the construction firms to compromise with the quality and completion time of the building. This can possibly be reduced by concentrating on the key sectors during building construction that are most probable to cause adverse effects on the project objectives. These key sectors that spoils the objectives of projects can be found with the help of a descriptive survey drafted using the significant factors gathered from various Literatures. As a result of survey 38 factors in 7 major groups such as Owner, Consultant, Contractor, Material, Equipments, Labour, External related causes were formulated and the factors were to be assessed based on the Response Scale. These Questionnaire were then circulated among various construction parties such as Owner, Consultant, Contractor in Tamil Nadu. About 191 replies were received in which 66% of them were related Contractors, 21% were Consultants, and 13% were Owner related. The study was carried out by finding the Relative Importance Index of each factor and it was found that the influencing factors were Inadequate Fund for Project, Material Cost Inflation, Changes in Government Regulations, Unrealistic Contract Duration and Requirements imposed by Owner, Inadequate Resources for Construction. Based on the Group Importance Index the Owner group was ranked the highest which signifies that it needs to be concentrated more to reduce the adverse effects
Antecedents Behavioral of The Millennial Generation Financial Management
Authors:   Management Study Program, Universitas Muhammadiyah Gresik, Gresik, Indonesia., Sukaris*  , Kusani Al ,   Management Study Program, Universitas Muhammadiyah Gresik,Gresik, Indonesia., Handayani Anita ,   Management Study Program, Universitas Muhammadiyah Gresik, Gresik, Indonesia, Rajiani Ismi ,   Post Graduate Program Management Studies, Universitas Muhammadiyah Gresik, Indonesia., Saepuloh Asep ,   Managemet Study Program, Universitas Muhammadiyah Gresik, Gresik, Indonesia
Published: December 2019

The purpose of this study is to uncover the antecedents of millennial generation financial management behavior with two important variables, namely financial knowledge and attitudes toward finance. The sampling technique is purposive, the sample used is 100 millennial generations. The sampling technique is by selecting respondents including the millennial generation, which was born in 1978-2000. The data source used is primary data obtained through the results of questionnaire collection to millennial generations. The technique for analyzing is the technical regression analysis using the WarpPLS software program. Testing is done by instrument test, feasibility of the model and finally testing the hypothesis. The results of the study show that financial knowledge influences the management behavior of millennial generation, financial attitudes influence the behavior of the financial management of millennial generations. So that it can be concluded that financial knowledge and attitudes towards finance are important antecedents of millennial generation financial management behavior because financial knowledge and financial attitudes influence the behavior of millennial generation financial management.
Intelligent Systems and Synchro Phasors Protocols in Smart Grid Applications
Authors:   Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia, Hasan* Mohammad Kamrul , Ahmed Musse Mohamud ,   Department of Electrical and Electronics Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia., Hashim Aisha Hassan Abdalla ,   Department of Electrical and Computer Engineering, International Islamic University Malaysia, Islam Shayla ,   School of Information Technology, UCSI University Malaysia, 56000 Kuala Lumpur, Malaysia.
Published: December 2019

Supervisory control and data acquisition (SCADA) is one of the existing phase measurement system provides the real-time control of power switching relays, attains information of the system status. Usually it accomplishes three-phase measurement in distributed network of smart grid through ample power quality measurement of voltage, current, and mostly the total harmonic distortion. However, the investigation of the paper suggests that SCADA delivers the updates of the grid information in times with the communication delays of 15 seconds. Of course, these timing delays can be higher, since it varies on the system complexity. Therefore, this communication delays too high in terms of synchronization, fault monitoring, and the measurement of the system variables in real-time. Therefore, this study covers the communication framework and its protocols of the smart grid application. To make the study more concise, this paper also assessed the delay of IEEE 1588 and IEEE C37.118 for the synchronization performance measurement. Moreover, this paper also includes the performance analysis of the existing the intelligent system and its protocols for smart grid application.
Neural Network and Cuckoo Optimization Algorithm for Remote Sensing Image Classification
Authors:   Associate Professor, Department of Computer Science and Engineering, Janarthanan* Vignesh , Viswanathan A. ,   Associate Professor Department of Computer Science and Engineering, Malla Reddy Institute of Technology & Science, Hyderabad, Umamaheswari M. ,   Assistant Professor Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode
Published: December 2019

Since Remote sensing images are used for a variety of applications, classification of such images is essential for extracting information. However, due to the lack of sufficient training examples, classification of remote sensing images is more complex. Also, in traditional method of classification, the statistical procedure uses only the gray value of the digital images to extract information. Neural network (NN) has a better impact in this domain. The proposed work uses an integrated NN and cuckoo Optimisation Algorithm (COA) for classification. The NN picks, organise and constructs the data to be trained into a network. The network is then trained and tested. The COA is combined with NN to aid the task of classification and to calculate the cost function. The optimization algorithm provides an appropriate feature suitable for the neural network classifier to produce final output. This hybridized technique presents the effective advantages of the neural network and further investigate the classification of the multispectral remote sensible images. The performance and error rate of the system is better when compared with other classical methods. The observed results illustrate the effectiveness of the COA to optimize the cost function. As training parameters in Neural network is found to be NP hard, utilization of COA involve its responsibility in optimizing the learning rate of NN.
A Novel Fuzzy Based Assessment Method for Learning Outcomes
Authors:   Joint Director of Marian Institute for Innovate Teaching Learning and Evaluation (MIITLE)., Thomas* Dr. Binu
Published: December 2019

Outcome based education (OBE) is a recent development in student-centered teaching-learning model that emphases on measuring student performance through outcomes. Outcomes include knowledge, skills and attitudes suggested in Blooms taxonomy. The OBE approach encourages students to become active learners because it focusses on student attainment in comparison to teacher-centered learning approach. The level of the attainment of Course Outcomes (COs) is the indicator of the skill, knowledge and behavior that students acquired at the end of the course. In Outcome Based Education every activity performed in the class room is linked with the measurable course outcomes. In this paper, we present an effective fuzzy based approach to assess the attainment of outcomes by mapping every assessment activity performed in the class room with the Course Outcomes (CO) and eventually to Program Outcomes (PO). The attainments of outcomes by the students are also expressed as fuzzy memberships which can also be represented graphically. The entire work is based on the OBE implementation case study of Marian College Kuttikkanam, (MCK)
Water Level Monitoring using Blynk Application in IoT
Authors:   Associate professor , School of Information Technology and Engineering, VIT University, Vellore, TamilNadu, India., Navaneethan* Dr.C. , Meenatchi Dr.S. ,   Associate professor , School of Information Technology and Engineering, VIT University, Vellore, TamilNadu, India.
Published: December 2019

One of the Precious and important resource in the earth maybe water. Now a days people need everything happen smarter other than olden days techniques used. In this paper Internet of Things (IOT) Based on the concept that to define energy conservation in tank level water monitoring system(sense and monitor). The Main objective is to have a sensor which detects the level of water and it should notify the user about the water level which is currently available in the tank. The Ultrasonic Sensor is placed at the top of the tank in which we will measure the level of water and the if the distance of the water from the sensor gets increased, it means that the water in the tank gets low and finally after reaching to an extent the system should notify a warning message to the user. The Major requirement would be Ultrasonic sensor which senses level of water (in distance)from the top of the tank to the bottom of the tank. The sensor is connected to the system using the Wi-Fi of NODE MCU (ESP8266) .The Blynk library is installed and connected in the arduino. The Blynk application is used to get the values and the notification send to the mobile for the user purpose. The user can get notified that the tank is empty and can take further steps to fill the water in the tank.
Renewable Energy from Cooking Stove Waste Heat Energy using Thermoelectric Generator for Night Market Application
Authors:   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia., Wahap* M.A. Abdul , Maslan M.H ,   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia., Harun M.S. ,   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia., Subki A.S.R. ,   Faculty of Electrical & Electronics Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia., Saat S. ,   Faculty of Electrical & Electronics Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia.
Published: December 2019

Malaysia night market normally operated along a temporarily closed road. No electrical power provided by the authorities and therefore hawkers need to prepare their own. Currently, they are working with gasoline-electric generator. On top of the cost incurred, they also need to consume exhaust gas and noise from the machine. Further, this situation will also affect customers. With a high percentage of the hawkers involve with cooking activities using the LPG gas stove, excess heat is one of the potential energy which can be converted into electrical energy using a thermoelectric generator (TEG). The aim of this study is to convert the excess heat available used to powered night market electrical facilities. A set of experiments was conducted utilizing five units of TEG connected in series to convert excess heat from a butane gas stove to electrical power. The temperature at both the hot and cold sides of the TEG was recorded used to analyze the effect of power produced. Two electrical parameters namely voltage and current outputs were measured used to calculate the electrical power generated. The analysis focused on the two main governing parameters namely temperature different and Seebeck coefficient toward power generated. It was found that only some amount of excess heat was converted which produced up to 46.8 mW electrical power. This is based on the high temperature recorded at the cold side of the TEG. The almost constant trend showed in temperature different was contributed to a small magnitude of the Seebeck coefficient and so for the power generated. The trend showed by the power generated was also almost constant even the temperature on the hot side keep increasing. The energy conversion process was considered success and can be further increased by increasing the number of TEG units used as well as by incorporating a cooling mechanism as practiced by many researchers.
1721 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: C5764098319/2019©BEIESP DOI:10.35940/ijrte.C5764.118419 Journal Website: www.ijrte.org Exploiting Solar Thermal Energy in Ammonia Synthesis Plant
Authors:   Process Engineer, Department of Petroleum Refining and Petrochemicals Engineering, Faculty of Petroleum and Mining Engineering Suez University, Suez, Egypt., Dmarany* M. , Hassanien M. H. M. ,   Professor of Chemical Engineering, Department of Petroleum Refining and Petrochemicals Engineering, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt., Adris Alaa-Eldin ,   Professor of Energy Engineering, Petroleum and Energy Engineering Department, School of Sciences and Engineering, the American University in Cairo, Cairo, Egypt.
Published: December 2019

Energy Is Always Becoming A Key Factor In The Process Of Achieving Any Sort Of Sustainable Development, With Respect To The Drastic Increase In The Global Energy Consumption Throughout The Past Few Decades, Accompanied With The Well-Established Relation Between The Technological Advancement And The Patterns Of Energy Consumption (1). Abundant As Well As Cheap Energy Resources Have Always Fueled The Growth And Development Of Modern Societies. Furthermore, Maintaining A Sustainable Yet Secured Source Of Energy Is Always A Crucial Challenge Nowadays In Order To Achieve Sustainability On All Levels, Economic, Social And Environmental. Medium Temperatures Applications Of Solar Thermal Practices Have Undergone A Remarkable Interest Recently In Various Industrial Sectors. Solar Concentrating Systems Could Properly Serve In Applications And Practices With Temperature Ranges From 85 To 250°C, Taking Their Sun Light Focusing Characteristic And High Thermal And Optical Performance As An Advantage(2). This Research Paper Introduces A System For Solar Energy Heating That Could Be Utilized For Heating Applications And Practices Inside The Oil And Gas Industry. First, The Proper Selection Of The Appropriate Solar System That Could Be Used In Such Applications Was Performed. A Full Analysis Has Been Held On Four Different Mathematical Models In Order To Predict The Optical Efficacy And Thermal Losses For The Selected System, Afterwards The Predictions Are Modeled Using Computer Software For A Comparison With Respect To These Prediction And Numerical Data, Also A Practical Comparison Took Place Using Real Input Data From Experimental And Actual Solar Plants. After That, We Took The Approach To Make Good Use Of Solar Thermal Applications, After Selecting The Most Appropriate Solar Thermal Concentrators, Which Is Parabolic Trough Collectors (Ptc), To Increase The Process Gas Feed Temperature Before Entering The Primary Reformer Reactor In Ammonia Synthesis Plant. The Energy Assessment For The Ammonia Plant, The Engineering, Sizing And Simulation Cases And The Economic Study For The Project Showed A Remarkable Return On Investment.
Distance From File Tip to Apical Constriction/Apical Foramen in Relation To Numeric Scale Reading on Display of Two Electronic Root Canal Length Determining Devices
Authors:   Reader, Department of Conservative Dentistry and Endodontics. JSS Dental College and Hospital, JSS Academy of Higher Education & Research. Mysuru, Karnataka, India., Gehlot* Paras Mull , Reddy Upendranatha ,   Professor. Department of Conservative Dentistry and Endodontics. G Pulla Reddy Dental College and Hospital. Kurnool. Andra pradesh. India., Kalgeri Sowmya Halasabalu ,   Senior Lecturer, Dept. of Conservative Dentistry and Endodontics. JSSAHER. Mysuru, Karnataka, India., B M Annapoorna ,   Professor and Head. Department of Conservative Dentistry and Endodontics. JSS Dental College and Hospital . JSSAHER , Mysuru, Karnataka, India.
Published: December 2019

Modern Electronic root canal length determining devices (ERCLD) or Electronic apex locators (EALs), claim to determine accurately the tooth length based on the principle of measuring the impedance between the canal fluid and tip of the file with various frequencies. Many manufacturers claim the electronic apex locators (EALs) to exactly display the reading corresponding to the canal parameters. This invitro evaluation compared if the marks ‘‘0.5’’ and ‘‘0.0/APEX’’ on the of display of two EALs Sybron endo Apex ID (SID) and Mini apex locator (MINI) were accurately representing the apical constriction or the apical foramen respectively. Materials and Methods: Sixty extracted, single rooted human teeth were used with alginate model. The electronic length was determined using 2 EALs, at the numeric scale/target ‘‘0.5’’ and ‘‘0.0/APEX’’ mark using K-file (electrode). After cementing the file coronally with type II glass ionomer cement, the apical 3–4 mm was trimmed until the file tip was visible under an operating microscope (X16). Images were captured under Dental operating microscope and the error between electronic length (EL) and actual length (AL) at target interval 0.5 (apical constriction) and 0.0 (major foramen) were analyzed by used Image J software. RESULTS: t-test revealed statistically significant differences between EL determination and AL for both EALs, at “0.0”/Apex, p=0.001, and at 0.5 (apical constriction) p=0.007. CONCLUSION: The numeric meter display of newer generation EALs like Apex ID, represent better correlation with the histologic landmarks and could become a useful guide for inexperienced clinicians, however they do not always indicate the position of the file in the canal.
An Implementation of Harmonic Suppression in 3  Inverter using SVPWM
Authors:   research student, branch of EEE, Sathyabama university Chennai, India., Selvaperumal* M. , Kirubakaran Dr.D. ,   Professor and HOD/EEE, St.Josph’s Institute of Technology, Chennai, India.
Published: December 2019

An inverter is used to transform into permanent DC potential to AC potential. It SVPWM step technique is used as a flexible result as it is used DC bus potential more excellently , the plasticization is achieved Spartan -three discipline-programmable gate array board utilizing hardware elaborately pictures que language (VHDL)FIELD programmable gate array allots a appreciatable peak stage plane/implementation instruments named as XILINX. Them effectively MOSFET is the switching instruments utilised in 3 phase inverter.
Refractance Window Drying: An Innovative Drying Technique for Heat Sensitive Product
Authors:   Associate Professor, Department of Food Technology, LIT, RTMNU, Maharashtra, India., Karadbhajne* S.V. , Thakare V.M. ,   Research Scholar, Department of Food Technology, LIT, RTMNU, Maharashtra, India., Kardile N.B. ,   Assistant Professor, MIT-ADT University, Pune, Maharashtra, India., Thakare S.M. ,   pH .D Scholar, Department of Agriculture Process Engineering, VNMKV, Parbhani , Maharashtra, India.
Published: December 2019

A unit operation in which moisture is evaporated from the material to make the product shelf stable by applying heat is known as drying. During drying of fruits and vegetables, it loses most of the essential phytochemicals due to the application of heat, as they are sensitive to heat. Refractance Window (RW) drying is a novel drying technology for converting puree and slices of fruits and vegetables and the biomaterials into powder, flakes, or sheet and value added products without losing essential heat sensitive nutritional components. It is relatively new drying technique which belongs to the fourth generation of drying techniques. RW drying is included in film (thin) drying technologies having high transfer rates of heat and mass which fastened the drying rate relatively with low temperature of product to give better quality product. It also provides advantages in terms of energy consumption, impact on environment, dehydration cost, safety, and productivity.
Investor Behavior towards Commodity Market - with Reference to Karimnagar District, Telangana State
Authors:   Department of Business Managment, S R Engineering College, Warangal, Telangana State, India., RAMESH* Mr. E. , PRASAD Dr. N V SRIRANGA ,   Departmentof Business Management, Satavahana University, Karimnagar, Telangana State, India., SINGH Mr. S. PARMINDER ,   Department of Business Management, S R Engineering College, Warangal, Telangana State, India.
Published: December 2019

In Modern days, the field of investment is becoming more dynamic than olden days. International and National factors are growing rapidly that change the values of specific Investments (assets). The number investment alternatives have been increasing due to the changes in Global conditions. To become successful, Investor has to keep large amount of savings in diversified portfolio and Invest wisely. Risk and return are the two sides of Investment, so one should try to analyze how much risk intended to take and how much return intended to generate. While making Investment decisions investor must have enough financial knowledge. Among the various investment options, investing in commodities can be an important alternative to diversify a portfolio beyond traditional securities. Many of the investors are still not in favor of investing in commodities. The Current study examines the Investor’s awareness and perception towards commodity market. Descriptive research design is selected to study. Using a convenience sampling approach, a total of 68 customers were interviewed at select stock broking in select areas of Karimnagar district of Telangana state.It is identified and concluded that most of the Investors in commodity market are satisfied with commodity trading and having a positive attitude towards commodity market. It is found that prices of commodities are affected by various factors such as national and International i.e. Interest Rates, Crude Oil price, American Dollar’s Price, Economical and Political conditions. Further it is found from the study that majority of the respondents strongly Prefer to invest in the commodity Crude Oil, Gold, Silver, Natural Gas, Aluminum and Least Preferred Commodities are Zinc, Copper, Lead. Investments in commodity trading are increasing nowadays in metro and urban area.
Self-Service Checkout System for Groceries
Authors:   Center for Engineering Research and Technology Innovation, University of Saint Louis, Tuguegarao City, Cagayan, Philippines., Abana* Ertie C. , Daña Thom Benedict ,   Computer Engineering Program, University of Saint Louis, Tuguegarao City, Cagayan, Philippines, Alan Charity ,   Computer Engineering Program, University of Saint Louis, Tuguegarao City, Cagayan, Philippines., Martin Jhosa Mae ,   Computer Engineering Program, University of Saint Louis, Tuguegarao City, Cagayan, Philippines., Buraga Ronica ,   Computer Engineering Program, University of Saint Louis, Tuguegarao City, Cagayan, Philippines., Balagtas Christian ,   Computer Engineering Program, University of Saint Louis, Tuguegarao City, Cagayan, Philippines.
Published: December 2019

Self-service checkout systems allow shoppers as active participants into a retailer’s business processes. This paper focused on the development of electronic payment in groceries using Near Field Technology. This was done with the use of Radio Frequency Identification (RFID) cards which will replace cash outs and other online-based transactions that are prone to system failures. Several tests were conducted to determine how the self-service checkout system in this study will perform in real- world scenario. The transactions using the self-service checkout system can be finished in less than 41.13 seconds for five items and less. The test in the deduction of current balance by the system yielded 100% accuracy. In terms of security, the system does not rely only on video surveillance of a particular establishment because it has its own security mechanism that is enabled by a microcontroller. The security mechanism that matches the weight of the groceries calculated by the software program and the weight of the groceries weighed by the shopper yielded 100% accuracy during the testing. The self-service checkout solution in this study can provide a more time-efficient shopping experience to time-constrained users.
GWO-SA: A Novel Hybrid Grey Wolf Optimizer-Simulated Annealing algorithm for Multidisciplinary Design Optimization Problems
Authors:   Domain of Power Systems, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, INDIA., Kamboj * Dr. Vikram Kumar
Published: December 2019

The improved variants of Grey wolf optimizer has good exploration capability for global optimum solution. However, the exploitation competence of the existing variants of grey wolf optimizer is very poor. Researchers are continuously trying to improve the exploitation phase of the existing grey wolf optimizer, but still the improved variants of grey wolf optimizer are lacking in local search capability. In the proposed research, the exploitation phase of the existing grey wolf optimizer has been further improved using simulated annealing algorithm and the proposed hybrid optimizer has been named as hGWO-SA algorithm. The effectiveness of the proposed hybrid variant has been tested for various benchmark problems including multi-disciplinary optimization and design engineering problems and unit commitment problem of electric power system and it has been experimentally found that the proposed optimizer performs much better than existing variants of grey wolf optimizer. The feasibility of hGWO-SA algorithm has been tested for small & medium scale power systems unit commitment problem. In which, the results for 4 unit, 5 unit, 6 unit, 7 unit, 10 units, 19 unit, 20 unit, 40 unit and 60 units are evaluated. The 10-generating units are evaluated with 5% and 10% spinning reserve. The results obviously show that the suggested method gives the superior type of solutions as compared to other algorithms.
Retention of Andhra Telecom Circle GSM Mobile Subscribers
Authors:   Research Scholar, Acharya Nagarjuna University., Siloyam* Dasari , Jampala Rajesh C. ,   P. B. Siddhartha College of Arts and Science, Vijayawada.
Published: December 2019

Telecommunication has always been part of societal development in the last half century and continues to march toward innovative technologies and better living. The wireless subscriber base is growing at a rapid pace. All operations and communication across the world are being enabled by GSM mobile communication. Web services too involve the need to use GSM mobile communication for authentication and processing. The Andhra Telecom circle (which includes Telangana as well) is significant because of major industries and services sector, the best example being Information Technology services. This paper endeavours to assess the level of retention by telecom service providers. Structural Equation Modelling reveals the causal relations based on primary data collected from 1159 telecom subscribers.
The Determining Factors of Elderly People to Continue their Work Activities in Palembang
Authors:   Faculty of Economics, STIE Rahmaniyah, Sekayu, Indonesia., Wijaya* Hendry , Marnisah* Luis ,   Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia., Halin Hamid ,   Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia., Zamzam Fakhry ,   Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia., Handayani Susi ,   Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia., Purnamasari Endah Dewi ,   Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
Published: December 2019

This research study focuses on the determination factors of elderly that still continue their work activities in the city of Palembang. The purpose of this study is to find out how the influence of Social Security, Education and Health on the decision of the elderly people to continue their work activities in Palembang. The method of data analysis in this study uses the binary logistic regression method in which all variables (independent and dependent) use 2 categories (binary). The results of the estimated data, it is known that the variable Social Security, Education and Health has a significant influence on the decision of the elderly people to continue their work activities in Palembang. Odds Ratio value of 0.046 means that the elderly population who have an elderly social security program have a probability of choosing not to work by 0.046 times when compared to the elderly population who does not have an elderly social security program. Odds Ratio value of 12.298 means that the elderly population completing tertiary education has a probability of choosing to continue working 12.298 times compared to the elderly population completing primary and secondary education. Odds Ratio value of 20.153 means that the elderly population who goes to the doctor/clinic for treatment at least once per 3 months has a chance of continuing to work 20,153 times compared to the elderly population who goes to the doctor/clinic for treatment more than once every 3 months. Nagelkerke's R-Square value is 0.524. This implies that 52.4% of the variation in the independent variable can explain the dependent variable, while the remaining 47.6% is explained by non-model factors or by other variables not examined.
The Interrelationship Between Controlled and Uncontrolled Factors Affecting The Percentage of Value Added of Wheat To GDP In Egypt
Authors:   Higher Institute of Administrative Sciences, Beni Suef- Egypt, Nada Dr. Doaa Wafik , Tharwat* Prof. Assem ,   American University in the Emirates, Dubai, United Arab Emirates.
Published: December 2019

Agriculture had been the essence of the Egyptian economy but recently it had been facing a major decline in its value-added GDP going from 30% to 12% in the year 2016. The cause of this was believed to be due to the agricultural policies that have focused on the production of the local market in the short-term and neglected the long-term aspects and dimensions. This had led the Egyptians to move towards urbanization, which has a growth rate of 22%. However, this shift had affected one of the major strategic crops in the country. This is the wheat agriculture whose importance shows through the wheat consumption-GDP ratio which was about 1.66%, making it the first among all other significant crops. On the other hand, it is noticed that there is a huge gap between the wheat production and wheat consumption in Egypt that is due to the large purchases of imported wheat where Egypt is considered the world's largest wheat importer. This affects both the trade balance as well as the foreign net reserves that the country possesses because of issues with wheat production and economic instability, A wheat production model using Econometrics is being prepared to assess whether the stated variables have a significant impact. Our assumption in this paper is based on the economic theory, we built the multiple regression model by first changing the verbal equation into a simpler, verbal error-free equation, we carried out the work by using the science of “Econometrics” to interpret the reality of the relationship of different variables we will determine in paper to wheat production. This is done by knowing the values of the parameters of each independent variable to be then known as coefficients.
Design and Implementation of Energy Efficient Power Gated MALFA Cell
Authors:   Department of Electronics and Communication Engineering, Dr.Sivanthi Aditanar College of Engineering, Anna University, Tamil Nadu, India, Murugan* K. , Baulkani S. ,   Department of Electronics and Communication Engineering, Government College of Engineering, Tirchy, Anna University, Tamil Nadu, India
Published: December 2019

Power gating is one of the power reduction techniques that is mostly suitable for low power VLSI applications. It reduces the power consumption by shutting of the current to the blocks not in use. Hybrid power gating is applied to Modified Adiabatic Logic based Full Adder (ALFA) cell. The proposed ALFA cell reduces the energy consumption by 67.21%, 51.31%, 55.86% and 27.01% when compared to CMOS FA, PTL with TG 16T, hybrid CMOS and PTL with TG 14T. ALFA cell with hybrid power gating technique reduces the power consumption by 1.76, 2.08%, 1.13%, 1.44%, 0.48% and delay by 5.92%, 11.19%, 11.19%, 5.92%, 24.92% when compared to ALFA cell with NMOS sleepy approach, PMOS sleepy approach, PMOS sleepy stack approach, NMOS sleepy stack approach and dual stack approach.
Sonar Technology Assisted Vehicle Sensor
Authors:   BS Computer Science, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines, Roca* Patrick Anthony C. , Pabello Emalyn C. ,   BS Computer Science, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines, Reyes John Rey B ,   BS Computer Science, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines, Sabarillo Romiel C. ,   BS Computer Science, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines, Sumook Ranil P. ,   BS Computer Science, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines, S. Araneta Arvin Anthony ,   Assistant Professor I, College of Information & Communication Technology, Eastern Samar State University - Salcedo Campus, Salcedo, Eastern Samar, Philippines
Published: December 2019

In the Philippines, more than half of its vehicular accidents are caused by motorcycles, and most of the reasons why these accidents are happening is because of distracted driving, lowered road awareness, delayed response to emergency such as accidents, and over speeding to name a few as confirmed by World Health Organization’s reports. Premised on this idea, the researchers decided to design, develop, and test a device that would provide a solution to this. Thus, the title “Sonar Technology Assisted Vehicle Sensor” was created. The device was completed after three months of research and development in Eastern Samar State University Salcedo Campus. Results of the four-stage test: the Benchmark; Alpha; Beta; and Usability tests indicated that the Sonar Technology Assisted Vehicle Sensor is fully functional and can detect vehicles approaching and can produce corresponding alarms, and can now be implemented. As an additional feature, the device has been imbedded with a Global Positioning System (GPS) Tracker that activates whenever an accident happens to the user/rider. The GPS Tracker would extract the device’s location and the system would automatically send the data to appropriate authorities using its Global System for Mobile Communications (GSM) shield through text messaging. The researchers recommend that the device should be marketed directly to motorcycle companies; its GPS system should be submitted for further testing, while the image processing should be trained in computers with RAM size of 8 GB and should be tested paired with an infrared lamp to maximize its use in night time traveling conditions.
An Architecture for Automated Verification of Academic Testimonials in E-Learning
Authors:   Research Scholar, Dept. of Computer Science, The University of Burdwan, India., Islam Kh. Amirul , Nag* Akash ,   Lecturer, Dept. of Computer Science, M.U.C. Women’s College, Burdwan, India., Karforma Sunil ,   Professor & Head, Dept. of Computer Science, The University of Burdwan, India., Mukhopadhyay Sripati ,   Prof., Dept. of Comp. Sc. & Engg., Academy of Technology, West Bengal, India.
Published: December 2019

Universities offering e-learning courses often provide their students with a hard copy of the marksheet. When that same student wants to apply for a job through the online application portal of a company, he/she must scan the marksheet and upload the scanned copy. This is a nuisance because there can be many such marksheets and not everyone has access to a scanner at home. The candidate is also required to provide the name of the University which issued the degree as well as the marks obtained, because these information cannot be extracted from the scanned marksheet image using OCR with 100% success rate due to many factors including: varying marksheet formats, presence of background watermarks, differing fonts, loss in quality during scanning, etc. The company must now manually verify each such application by matching the entered marks against the marks printed in the marksheet, which is a tedious process. In this paper, we propose an alternative approach where the data printed on the marksheet is also embedded in a digital copy of the marksheet. This digital copy, in the form of an image, can then be downloaded by the students from the University portal thereby eliminating the need for scanning. Furthermore, when this image is uploaded, the company, i.e. job provider, can easily verify the information by invoking a standard API exposed by the University (or some nodal agency), which will then extract the embedded information. This eliminates the need for any manual verification and the entire process is automated, simple, fast and hassle-free. Security features are also inherent in our approach thereby reducing any chances of fraud.
Profitability, Market Incentive and Audit Quality of Financial Misstatements: Evidence from Malaysian Public Listed Companies (PLCs)
Authors:   Faculty of Accountancy, Universiti Teknologi MARA, Malaysia, Hussain* Alfiatul Rohmah Mohamed , Hasnan* Suhaily ,   Faculty of Accountancy, Universiti Teknologi MARA, Malaysia, Sanusi Zuraidah Mohd ,   Accounting Research Institute, Universiti Teknologi MARA Malaysia
Published: December 2019

The purpose of this study is to examine whether there is mean difference in profitability (Profit), market incentive (EPrice) and audit quality (AudQ) variables between restatement and non-restatement firms in Malaysia. The sample comprises of 285 public listed companies on the Main Board of Bursa Malaysia for the years between 2005 and 2013. A descriptive statistics analysis is performed to differentiate the characteristics of restatement and non- restatement firms. The study finds significant difference between restatement and non-restatement firms in the profitability and market incentive variables. The results show that restatement firms reported higher profit than non- restatement firms in the year prior to the restatement year. And, restatement firms have higher earnings-to-price ratio (proxy for market incentive) relative to the non-restatement firms that are matched by total assets, but lower than non-restatement firms which not matched by total assets. This indicates that restatement firms are able to maintain high growth expectations embedded in the firm’s share price. The study finds no significant difference in audit quality between misstatement and non-misstatement firms. The comparable audit fees between restatement and non-restatement firms indicate that the external auditors of restatement firms failed to appropriately assess the audit risk of these firms.
Personality Prediction from Social Networks text using Machine Learning
Authors:   School of Computer Engineering and Technology, MITWPU, Pune , India., Bhamare* Mamta , Kumar Dr. K. Ashok ,   School of Computing , Sathyabama University, Chennai, India.
Published: December 2019

Personality, a typical way of thinking, feeling, and behaviour. Personality embraces moods, attitudes and views and is expressed most obviously in relationships with others. It involves both intrinsic and acquired behavioural features that differentiate one individual from another and can be found in the relationships of people with the surroundings and with the social group. With the development of social networks, a broad variety of techniques have been developed to identify user personalities based on their social activities and language usage practices. In terms of distinct machine learning algorithms, information sources and function sets, particular methods vary. Personality prediction has been an important research topic for describing user profiles and person not only in psychology but also in computer science. This paper presents a systematic survey of current work done of personality prediction from social networks. We also prepared a Comparison chart of existing techniques for personality prediction on the basis of relevant parameters. Based on this survey, we finally presented a few future research directions related to personality prediction.
The Impact of Feature Selection Methods for Classifying Arabic Textual Data
Authors:   Faculty of Information Technology, University of Petra, Amman, Jordan., Issa* Ghassan F. , Abu-Arqoub* Mohammad ,   Faculty of Information Technology, University of Petra, Amman, Jordan., Hadi Wael M. ,   Faculty of Information Technology, University of Petra, Amman, Jordan.
Published: December 2019

Text classification is a vital process due to the large volume of electronic articles. One of the drawbacks of text classification is the high dimensionality of feature space. Scholars developed several algorithms to choose relevant features from article text such as Chi-square (x2), Information Gain (IG), and Correlation (CFS). These algorithms have been investigated widely for English text, while studies for Arabic text are still limited. In this paper, we investigated four well-known algorithms: Support Vector Machines (SVMs), Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Decision Tree against benchmark Arabic textual datasets, called Saudi Press Agency (SPA) to evaluate the impact of feature selection methods. Using the WEKA tool, we have experimented the application of the four mentioned classification algorithms with and without feature selection algorithms. The results provided clear evidence that the three feature selection methods often improves classification accuracy by eliminating irrelevant features.
Automatic Sarcasm Detection with Textual and Acoustic Data
Authors:   Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Michael* Steve , Zahra Amalia ,   Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: December 2019

This paper takes focus on the area of automatic sarcasm detection. Automatic sarcasm detection is crucial due to the needs of sentimental analysis. The rapid development of automatic speech recognition and text mining and the large amount of voice and text data opens a broader way for researchers to open new method and improves the accuracy of automatic sarcasm detection. We observe approaches that have been used to detect sarcasm, kind of data and its features including the rises of context to improve the accuracy of automatic sarcasm detection. We found that some context cannot be reliable without the presence of other context and some approaches are very dependent on the dataset. Twitter is being used by researchers as the main mine for sentimental analysis, we notice that at some aspect it still has a flaw because it is dependent to some Twitter’s special feature that will not be found in other usual text data like hashtags and author history. Besides that, we see that the small amount of research about automatic sarcasm detection through acoustic data and its correlation with textual data could make a new opportunity in the area of sarcasm detection in speech. From acoustic data, we could get both acoustic features and textual features. Sarcasm detection with voice has the potential to get higher accuracy since it can be extracted into two data types. By describing each beneficial method, this paper could be a brief way to sarcasm detection through acoustic and textual data.