bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Clustering Methods for Student Learning Style Based Neuro Linguistic Programming
Authors: Yusoff Marina , Najib Bin Fathi Muhammad , . .
Published: July 2019

Students’ performance is a key point to get a better first impression during a job interview with an employer. However, there are several factors, which affect students’ performances during their study. One of them is their learning style, which is under Neurolinguistic Programming (NLP) approach. Learning style is divided into a few behavioral categories, Visual, Auditory and Kinesthetics (VAK). This paper addresses the evaluation of clustering methods for the identification of learning style based on system preferences. It starts with the distribution of questionnaires to acquire the information on the VAK for each student. About 167 respondents in the Faculty of Computer and Mathematical Science are collected. It is then pre- processed to prepare the data for clustering method evaluations. Three clustering methods; Simple K-Mean, Hierarchical and Density-Based Spatial Clustering of Applications with Noise are evaluated. The findings show that Simple K-Mean offers the most accurate prediction. Upon completion, by using the dataset, Simple K-Means technique estimated four clusters that yield the highest accuracy of 74.85 % compared to Hierarchical Clustering, which estimated four clusters and Density- Based Spatial Clustering of Applications with Noise which estimated three clusters with 52.69% and 61.68 % respectively. The clustering method demonstrates the capability of categorizing the learning style of students based on three categories; visual, auditory and kinesthetic. This outcome would be beneficial to lecturers or teachers in university and school with an automatically clustering the students’ learning style and would assist them in teaching and learning, respectively.
Spectrum Aware Cluster Formation Scheme for Cognitive Radio Sensor Network
Authors: Mohamed Noor Noorhayati , Md Din Norashidah , Kasiran Zolidah
Published: July 2019

In Cognitive Radio Sensor Network (CRSN), a cognitive radio sensor node operated on a dynamic spectrum allocation with limited computational and energy resource. A cognitive radio sensor node must vacate an occupied channel degrading its performance due to reclustering as the common channel no longer available. Furthermore, energy is mostly consumed during data transmission mechanism. Clustering is the best architecture model to minimize energy consumption among the nodes. With the objective of a robust cluster while maximizing network lifetime, a fuzzy logic technique is proposed. A metric named relative common channel is also proposed. The fuzzy logic combines two input parameters, the relative common channel and residual energy to elect the best suitable cluster head to minimize reclustering and maximize the network lifetime. The performance of the proposed algorithm is compared with LEACH, SAFCA and CogLEACH. The results show that the CRSN has more extended network lifetime and more balanced energy consumption attributed to the robust cluster formation.
Reverse Mortgages Payment Based on Type of House in Kuala Lumpur: Comparing HECM and MPRM
Authors: Fadilah RAMLI Suraya , M REDZWAN Norkhairunnisa , Aisyah M HATTA Farah , Bokhari S ANUAR Mohd , Nadhirah ZULKIFLI Nazatul
Published: July 2019

A reverse mortgages is a type of home loan for homeowners to receive an amount of money against the value of the house in the form of fixed monthly payments or a line of credit. It enables the elderly homeowners to access their home equity and hold up payment into cash of loan until a certain condition apply whereby the loan amount will not exceed the home value over the life of the loan. This study aims to compare reverse mortgages payment between the Home Equity Conversion Mortgages (HECM) model by United State and Malaysian Proposed Reverse Mortgages (MPRM) loan structure on every type of house in Kuala Lumpur. Both loan structures have slight difference in the loan amount. From gender perspectives, it shows that male received higher amount of payment received compared to female. This situation happens because the difference in the life expectancy where one of the elements of reverse mortgages payment, whereby female are longer live than male due to mortality perils. Thus, between two models, the model that gives more payment towards Malaysia elderly is HECM rather than MPRM.
Design of Graphical User Interface Development Environment Software for sizing of Grid Connected Photovoltaic (GCPV) system
Authors: Z.Mohammad Noor S , Zaini S , M.Omar A
Published: July 2019

This work presents a design of graphical user interface development environment (GUIDE) software for sizing of Grid Connected Photovoltaic (GCPV) system. The simulation model of the GCPV system design is developed by using GUIDE in MATLAB. The developed GUI display the performance of the PV system based on the three scenarios. The three scenarios are sizing based on architecture constraint, the energy required and budget constraint. The size of the GCPV system is from 4.6 kW to 60.0 kW. A GUIDE is developed to design and calculate the suitable size of photovoltaic (PV) module, analyses the optimum array configuration, selection of inverter, size of cable, determine the specific yield and performance ratio. The GUI be able to make a user’s job easier and beneficial in assisting the GCPV system design process compared to the manual calculation of the GCPV system.
The Nexus between Funding and Research Output: A Case Study in Universiti Teknologi MARA
Authors: Henry Caroline , Azura Md Ghani Nor , Haron Halilah , Marshida Abd Hamid Umi , Naqiyuddin Bakar Ahmad , Taufek Abdul Rahman Ahmad
Published: July 2019

Financial sustainability has been a continuous problem that Higher Learning Institutions (HLI) have to face. In addition, funding has always played a role in the process of research as many have proven that there is a relationship between funding and research impact. This study highlights the impact of funding on UiTM’s research productivity. Publications published by UiTM in 2012 to 2016 from Web of Science (WoS) were used to compare the impact of both funded and unfunded publications. The findings showed that 32.53% of the publications published from 2007 to 2016 were funded. Funded publications published in high impact journals have higher citations compared to unfunded publications particularly for Medical and Science & Technology related fields such as Clinical Medicine and Chemistry. This proves that financial assistance is key to drive quality research and produce impactful publications as it indirectly increases the institution’s research productivity.
Legal Regulation of E-сommerce
Authors: Leonidovna Burova Inna , Sergeyevna Lavrentieva Maria , Romanovna Lenkovskaya Renata , Anatolevich Malcev Vitalij , Nikolaevich Kuleshov Georgij
Published: July 2019

This article analyzes the current state of electronic commerce in Russian Federation and highlights good foreign practices in this area. The conceptual framework and Internet transactions are also assessed. The terminological imprecisions and adoption of foreign law definitions and principles of transactions are revealed. Amendments and additions to the Russian e-commerce legislation are proposed.
Regional Economic Security in the Context of Budget System Stability
Authors: Anatolyevna Efremova Lyudmila , Ivanovna Lazareva Galina , Antsasovna Rusetskaya Elvira , Sergeevich Molchan Alexey , Petrovna Anufriyeva Anna
Published: July 2019

The present-day state finances condition demonstrates the need for specifying methodological and practical aspects of providing budget system financial stability. The objectives of overcoming the budget deficit at all levels set by the Russian Federation government are aimed at creating the necessary conditions for providing the region’s financial security as a key functional component of its economic security.The materials presented in the article provide characteristics of Stavropol Krai and Krasnodar Krai budgets, which were obtained by the authors as a result of the analysis of the basic medium-term development programs of the given regions. The possible use of budget policies indicators and instruments for the assessment of economic security and financial stability of a federal subject of Russia is indicated. The article investigates the opportunity to assess regional economic security based on the study of socio-economic parameters of its development and on the application of the system analysis methods to major indicators of a federal subject of Russia financial and budget policies.The elements of scientific novelty are determined by the fact that the article substantiates the necessity to develop a complex of measures for improving the forms and methods of the state financial support for regions with the mandatory inclusion of activities aimed at increasing regional economic security.
Use of Wavelet Analysis for Determining the Stability of the Banking System
Authors: Jur'evna Fedorova Irina , Bogdanovich Rubinov Renold , Valentinovich Berdysev Alexander , Ivanovna Ryabchenko Lyudmila , Sergeevich Matveevskii Sergey
Published: July 2019

The possibility and feasibility of using wavelet analysis to disclose the stability of the banking system operation were justified in the article. The main stages of wavelet analysis for disclosing the stability of the banking system operation were defined.
Criminal Legal Protection of Property in Russia in the Conditions of Development of Property Relations
Authors: Vasilievich Groshev Aleksandr , Georgievich Saprunov Aleksandr , Vladimirovich Shulga Andrey , Rakhimmulovich Galiakbarov Romen , Aleksandrovich Tushev Aleksandr
Published: July 2019

The main purpose of the work is to prove that the subject of thefts and other crimes against proprietorship, which is property, should be interpreted in a broad sense – not only as choses, but also as other property, including property rights. The method of achieving this goal is to justify the fact that in the conditions of building an information society and developing market economy, the field of property turnover is expanding. Economic relations increasingly include both material benefits – choses - and other property that does not have any physical parameters of a traditional chose, being incorporeal, intangible, having the information nature. This tendency is undoubtedly taken into account by the criminal environment, which increasingly often commits crimes aimed at unlawful acquisition of this incorporeal property.Therefore, it is required to strengthen the legal protection of nonmaterial property by criminal legal means, recognizing the thefts of both choses and material goods as the subjects of crimes against property. As a result of unlawful acquisition of these goods, property damage is also caused to their owners. The recognition of property rights as the subject of theft determines the novelty of this article.
Functioning of the Russian Language in Transborder Territories of the Arctic Region (As Exemplified by Northern Norway)
Authors: Nikolaevna Ivanishcheva Olga , Vyacheslavovna Koreneva Anastasiya , Vitalevna Ryzkova Inna , Vyacheslavovna Burtseva Alexandra , Anatolievna Rotaryanu Lubov
Published: July 2019

The research relevance is explained by the need to determine trends and prospects for the historical and cultural development of the Arctic Region with due regard to its multicultural evolution and existence forms, as well as by the importance of addressing the burning issue of the functioning of a national language in the context of globalization. The article aims to identify common trends in the functioning of the Russian language in transborder territories of the Arctic Region (the border area between the Murmansk Region and Northern Norway). The research novelty is in revealing the situation around minority languages of the Russian expat community living in Northern Norway. The article demonstrates that the Russian language is used in everyday communication, advertisements, announcements and signboards in the transborder region of Northern Norway by locals and a large number of Russian tourists but it has not become dominant among the population of the city of Kirkenes. At the same time, the linguistic isolation of Russian-speaking and Norwegian-speaking groups is obvious and is characterized by certain asymmetry like the relationship between Norway and Russia as a whole.
The Scope of Legal Protection of a Utility Model
Authors: Evgenievich Kitaiskiy Vladimir , Sabirzhanovich Moukhamedshin Irik , Nikolaevich Petrov Evgeniy , Ivanovna Tytskaya Galina
Published: July 2019

As is known, the scope of legal protection of a utility model is determined by its formula. The utility model formula should clearly express the essence of the utility model, which is determined by a set of essential characteristics sufficient to solve the technical problem and obtain a given technical result. However, often the authors of a patent application include in the utility model formula not merely a set of essential characteristics but also other characteristics that are not required to solve the technical problem and to achieve the technical result, indicated by the applicant. Such nonessential characteristics are superfluous, reducing the scope of legal protection of the patented utility model. The utility models, containing the insignificant characteristics in the formula, which restrict the rights of the patentees to protect their rights in case of unauthorized use of the utility model, are considered in this article. The results of the study are illustrated by the specific example from judicial practice.
Modeling the Competitive Advantage of Companies within the Hotel Industry in a Region
Authors: Yurievna Nikolskaya Elena , Vladimirovna Pasko Olga , Anatol'evna Volkova Inna , Nikolaevna Anikina Elena , Yevgenievna Lebedeva Olga
Published: July 2019

This paper focuses on the development of techniques for modeling the competitive advantage of companies within the hotel industry in a region. The authors make the case that their proposed techniques for modeling the competitive advantage of companies within the hotel industry in a region can help to cumulatively evaluate and give a well-substantiated quantitative and qualitative assessment of the sector’s competitiveness factoring in a set of specific indicators. This kind of algorithm for constructing a model for competitive advantage could help assess in real time the quality of services provided within the hospitality sphere and conduct comparative analyses across the nation’s regions.
Clusters in the Gas Dynamics and Mathematical Modeling in Mathcade the Results of the Study
Authors: Tashimbetova Akdana , Rysbaeva Ayman , Suleimenov Zhazira , Kalybekova Zhanar , Sydykova Damelkan
Published: July 2019

The concentration of clusters and the compressibility factor of nitrogen and oxygen under various conditions are calculated on the basis of the cluster model of dense gas and the Van der Waals equation. As practice shows, the cluster model gives the best agreement with experiment.
Development Problems of the Regional Agro-Industrial Complex Management System
Authors: Kitovich Tkhakushinov Edward , Aslanovna Hachemizova Emma
Published: July 2019

The present article deals with the problems concerning ensuring the effective management of the agro-industrial complex in the region, which determines the status and development of the country's economy. The process of improving the agro-industrial complex structure is being considered, which, based on the variety of forms of management and features of land properties and other means of production, should result in the formation of mixed agrarian economy and initiate attempts to create an agricultural market with the competitive environment. The authors substantiate the necessity of state monitoring and analysis of the effectiveness of decisions taken based on new approaches to the agro-industrial complex management in the region, taking into account the numerous forms of agricultural enterprises’ specialization, the competition of individual sectors, the characteristics of regional markets, foreign economic factors, as well as preferences and traditions of social medium. At that, the paramount importance is given to methods and means of forming and organizing anti-crisis management systems, which would take into account the possibility of anticipating crisis situations, assessing the likely losses of the state on the basis of monitoring of the internal and external environment of the management object.
Biomechanics of hip joint: a systematic review
Authors: KN Chethan , Bhat N Shyamasunder , Shenoy B Satish
Published: July 2019

Hip joint is the second largest joint in human after knee joint. It is associated with different types of motion which helps in the movement of human body and provide stability. Biomechanics involves the study of movement of living organism. It is important to know and understand the basics of biomechanics of hip joint to define the movement of hip joint along with its load carrying capacity in different day to day activities. Many researchers are worked to know the basics biomechanics of hip joint both in in-vitro and in- vivo conditions. In this paper, it has been reported in detail to know the different biomechanical aspects involved in the hip joint during different movement and also different biomaterials used in the hip joint prosthesis. It is majorly focused on load transmitting by hip joint by upper body to lower body in different activities such as walking, running, stumbling etc. So, these basic understanding helps to understand effectively the joint reaction forces which is acting on hip joint while designing new hip joint prosthesis.
Hybrid framework for detection of human face based on haar-like feature
Authors: Ramkumar G , Logashanmugam E
Published: July 2019

Augmentation in computer technology has made attainable to prompt incipient video processing practices in territory of biometric identification. Applications embroil face detection and face recognition consolidated to examination framework, signal investigation etc. Face detection is broadly utilized as a part of intuitive user interfaces and assumes an essential part in the area of computer vision. In order to build a fully automated system that can analyze the information in face image, there is a requirement for powerful and productive face detection algorithms. In this paper a framework is proposed for human face detection in images acquired under various illumination conditions. The features established on Gabor filters extracted from local image are applied to be the input of the Haar like classifier. At last, the experiment indicates elite in both accuracy and speed of the created framework.
Design and software implementation of solid state transformer
Authors: Raaed Faleh Hassan Dr
Published: July 2019

The work presented in this paper concerned with the analysis, design and software implementation of the Solid State Transformer as an alternative to the conventional power transformer. The proposed transformer aims to perform the same task as the conventional one with additional facilities and advantages. Three stages are considered to configure the Solid State Transformer. The first stage which is known as input stage and implemented using Vienna rectifier which converts the AC voltage of the main supply to a DC voltage. The second stage (isolation stage) step down the DC voltage to a lower level DC voltage. This stage consists of a single – phase five-level diode clamped inverter, 1 KHz step – down transformer and fully controlled bridge rectifier. The output stage (third stage) is a three-phase three-level diode clamped inverter which converts the low level DC voltage to a three-phase, 50 Hz AC voltage. Model Predictive Current Control has been employed for driving transformer’s stages. The gating signal is produced directly when the given cost function is minimized, therefore there is no need of any modulator. Behavior of the proposed structure is achieved by simulation which shows high quality power conversion with low Total Harmonic Distortion.
Efficient design of chaos based 4 bit true random number generator on FPGA
Authors: Gupta Ramji , Pandey Alpana , K.Baghel R.
Published: July 2019

True random number generator is a basic building block of any modern secure communication and cryptography system. FPGA implementation of any system has a flexible architecture and low-cost test cycle. In this paper, we present an FPGA implementation of a high speed true random number generator based on chaos oscillator which gives optimize ratio of bit rate to area. The proposed generator is faster and more compact than the existing chaotic oscillator based TRNGs. The Experimental result shows that the proposed TRNG gives 1439 Mbps with optimizing the use of LUTs and registers. It is verified that the generator passes all the NIST SP 800-22 tests. The proposed TRNG is implemented in two FPGA families Nexus 4 (Artix 7) DDR XC7A100TCSG-1 and Basys 3 XC7A35T1CPG236C (Artix 7) using Xilinx Vivado v.2017.3 design suite.
The Effects of Minecraft Videogame On Creativity
Authors: Fauzan Norsiah , Sophian Shminan Ahmad , James Anak Binit Aquailla , . .
Published: July 2019

The aim of this research is find out the effects of minecraft videogames on creativity.  Eight undergraduates were assigned to experimental group and control group for recording of the brainwaves while playing minecraft video games and other videos.  The results showed that the average of brain waves from different sub-bands for Minecraft games is higher than other games.  The dominant of delta waves at Fp1 & Fp2 showed that the subjects are paying high attention and improved their decision-making levels. High T3 & T4 on Alpha( Minecraft's)wave indicates that it stimulates the brain to activate both parts of the brain. The results showed that Minecraft is able to increase high-level thinking.  The core cognitive mechanism during playing minecraft video games was the attention network collectively referred as fronto-parietal attentional control network.  This is indicated as sub-network known as executive control network, default mode network and salient network in the previous research.
Flood prediction of Sungai Bedup, Serian, Sarawak, Malaysia using deep learning
Authors: Yahya Saleh Al-Hababi Abdulrazak , Tei Roselind
Published: July 2019

This paper aims to evaluate the performance of the Long Short Term Memory (LSTM) model for flood forecasting. Seven data sets provided by the Drainage and Irrigation Department (DID) for Sungai Bedup, Serian, Sarawak, Malaysia are used for evaluating the performance of LSTM algorithm. Distinctive network was trained and tested using daily data obtained from the DID with the year range from 2014 to 2017. The performance of the algorithm was evaluated based on (Training Error Rate, Testing Error Rate, Loss, Accuracy, Validate Loss and Validate Accuracy) and compared with the Backpropagation Network (BP). Among the seven data sets, Sungai Bedup showed small testing error rate which is (0.08), followed by Bukit Matuh (0.11), Sungai Teb (0.14), Sungai Merang (0.15), Sungai Meringgu (0.12), Semuja Nonok (0.14) and lastly Sungai Busit is (0.13). Moreover, the developed model performance is evaluated by comparing with BP model. Results from this research evidently proved LSTM models is reliable to forecasting flood with the lowest testing error rate which is (0.08) and highest validate accuracy (92.61% ) compared to BP with testing error rate (0.711) and validate accuracy (85.00%). Discussion is provided to prove the effectiveness of the model in forecasting flood problems.
An Overview on Water Quality Trending for Lake Water Classification in Malaysia
Authors: Muzzammil Shahabudin Muhammad , Musa Sabariah
Published: July 2019

Lake water is important to all life and surroundings with multiples benefits and forms either in natural or man-made conditions. One of the most well-known tools for assessing the water quality is Water Quality Index (WQI) and widely used including Malaysia. Lake water quality should be represented in lucid way like other surface water regarding to the WQI standards for water quality assessment on lakes. This paper aims to review on lake water quality classification and its uses based on WQI standards in Malaysia. In this review, the uses of WQI for assessing the lake water and functioned of lakes are discussed. Results on pH from 5.0 to 9.2, BOD in mg/l from 0 to 180, COD in mg/l from 5 to 150, SS in mg/l from o to 1800, DO in mg/l from 0 to 8 and AN in mg/l N from -1 to 26. Variety of numbers is due to different loading of pollutions and location. With used of WQI on lake water quality assessments, further action can be taken for the uses on water resources by maintaining the quality. It also will broaden the uses of lake water as alternative of water resources in Malaysia.
Time Series Analysis of PM10 Concentration in Parit Raja Residential Area
Authors: Fauzi Raffee Ahmad , Abdul Hamid Hazrul , Maya Saphira Radin Mohamed Radin , Ismail Jaffar Muhammad
Published: July 2019

Parit Raja is one of the sub-urban area that rapidly grow due to its location containing industrial and education hub. Pollution from factories and the increasing number of vehicles are the main contributors of PM10.  Since PM10 can give the adverse effect to human health such as asthma, cardiovascular disease and lung problem, appropriate action mainly involve short-term prediction maybe required as a precaution. This research was conducted to predict the PM10 concentration using the best time series model in Parit Raja, Batu Pahat, Johor. Primary data was obtained using E-Sampler at three monitoring stations; Sekolah Menengah Kebangsaan (SMK) Tun Ismail, Kolej Kediaman Melewar and Sekolah Rendah Kebangsaan Pintas Raya. ARIMA time series model was used to predict the PM10 concentration and the most suitable model is identify using by Akaike Information Criterion (AIC). Prediction of PM10 concentration for for the next 48 hours at all monitoring locations was verified using three error measures which are mean absolute error (MAE), normalized absolute error (NAE) and root mean square error (RMSE). After comparing the time series model, the short term prediction model for station 1 is AR(1), station 2 is ARMA(1,1) and station 3 is ARMA(2,1)  based on the smallest AIC value and the best time series model that used for prediction at Parit Raja residential area is AR(1). Since the best model was identified for Parit Raja residential area, PM10 concentration can be predicted using AR(1) model to identify the value of PM10 concentration in the next day.
Potential of Ground and Unground Palm Oil Fuel Ash in Construction Material
Authors: Roslee Faiza , Amani Filzah Mohd Kamil Nor , Abd Kadir Aeslina , Isia Ismallianto , Ikhmal Haqeem Hassan Mohd
Published: July 2019

The uncontrolled bunches of palm oil fuel ash (POFA) leads environmental pollution and hazardous to the human. Besides, POFA can be classified as the high pozzolan matter. This feature attracts attention tremendous researchers to identify the usage of POFA to overcome the abundant issues. This paper is review about the reuse a POFA in a different method. The researcher found the potential by replaced the cement with POFA in construction material. In addition, findings shows that POFA can be use to reduce carbon content, loss of ignition and increased mineral oxide composition. Yet, POFA has good high potential and can be used in construction industries
Association between Psychosocial Factors and the Prevalence of Musculoskeletal Disorders among Internship Doctors in Malaysia
Authors: Firdaus Mohd Taib Mohd , Hwan Yun Myung , Md Tap Masine
Published: July 2019

Musculoskeletal disorders (MSDs) have been recognized as one of the main occupational health problems among health care workers. Many studies have suggested the influence of psychosocial factors on MSDs. The objective of this study is to look into the association between psychosocial factors and the prevalence of MSDs symptoms among internship doctors. 86 internship doctors completed a questionnaire which consists of demographic data, physical and psychosocial factors as well as musculoskeletal discomfort. Results show that 32.6% of them reported that they have musculoskeletal discomfort at a single body region during the last year, 16.3% reported two regions and 9.3% reported three regions where the most prevalent region affected was the neck area where 27.9% of the respondent reported they experienced symptoms or pain in this region, followed by wrists / hands (26.7%), lower back (19.8%) and upper back (14.0%). Meanwhile, there were association found between psychosocial factors and prevalence of MSDs in certain body regions. For instance, musculoskeletal symptom at neck, wrist/hands, upper and lower back regions have been found to be associated with five psychosocial stressors examined in this study. The results obtained indicate the influence of psychosocial factors on MSDs.
Overcoming Issues in Occupational Safety and Health Compliance among Contractors in Paddy and Rice Industry
Authors: Syaidan Abdullah Muhammad , Ifwat Ahmad Muhammad , . .
Published: July 2019

Issues related to occupational safety and health (OSH) in the agriculture sector is gaining extra attention, especially accidents that occur at workplace. This study is focusing in Selangor, Malaysia where the state shows the highest number of fatality accident rate in 2014 for this sector. The aim of this study was to propose strategies for improvement of OSH compliance among contractors in paddy and rice industry based on their main problems. A set of questionnaire was distributed to 40 registered and active contractors’ company in paddy and rice industry with a response rate was 100%. Total of 10 interview sessions were conducted in order to collect information on their issues and opinions into details. The result shows that the lack of attitude of workers towards OSH; inappropriate and inadequate of OSH training among workers; and lack of effective communication between the company and its employees were the three main problems faced by these contractors. The study was then successful in identifying the 10 main necessary steps to be taken in improving the level of OSH based on the three main problems faced by these contractors.
Prediction on Hand Arm Vibration Exposure Cause-Effect among Grass-Cutting Workers in Malaysia
Authors: Hanafi Ali Mohamad , Azali Azmir Nor , Nizam Yahya Musli
Published: July 2019

Prolonged exposures to hand-transmitted vibrations from grass-cutting machines have been associated with increasing occurrences of signs of occupational diseases related to the hand-arm vibration syndrome (HAVS). However, there are no specific processes available that cover the subjective and objective health cause-effects of the hand arm vibration risk factors during onsite operations. The objectives are (1) to measure the health subjective and objective risks during normal working conditions among hand-held grass-cutting workers and (2) to determine the significant correlation of the subjective and objective measurement variables of the Hand Arm Vibration Exposure Risk Assessment (HAVERA) on hand arm vibration symptoms and disorders. The study was conducted in two stages: evaluation of the HAVERA variables and development of the health prediction cause-effect model of the HAVERA process using multiple linear regressions and feed forward neural network programming. In the onsite measurement, the daily vibration value depicted an exceeded exposure action value of 2.5 m/s2 for both hands; and experiences of any finger colour change were claimed by 80% of the 204 subjects. This shows that HAVERA process provided a good indication of HAVS which are reported as vascular, neurological and musculoskeletal disorders. In the right and left hand prediction model development, the results demonstrated a higher reliability performance as compared to the linear model for hand grip strength and hand numerical scoring assessment. The prediction of the HAVERA model using the neural network method has been developed for monitoring health conditions due to hand-transmitted vibrations among hand-held grass-cutting workers in Malaysia.
The Strength Analysis of a Bus Superstructure Based on the Accuracy Improvement of T-Junction Flexible Joint Stiffness
Authors: Rooppakhun Supakit , Wichairahad Jakkree
Published: July 2019

The strength analysis of bus superstructure was extremely important that the manufacturer must take into account, especially in the maximum stress analysis as well as the construction stiffness. In this study, the finite element (FE) model of an intercity bus superstructure consisted of chassis frame and body structure has been analyzed based on the improved beam joint considerations. The accuracy improvement of beam type element model was performed using the equivalent joint stiffness of T-junction beam modeling, and then compared with shell and volume elements. According to the improved T-junction FE model, the flexible joint stiffness consideration has been obtained, in which the behavioral error was reduced to less than 6%. The FE model of bus superstructure with improved beam joint was then compared to the rigid joint condition in bending, torsion, longitudinal and lateral load cases. The numerical results revealed that magnitude of maximum stress in the improved beam joint model displayed increasing of 11.53 %, 14.11 %, and 18.45 % in torsion, longitudinal and lateral load cases, respectively. However, the maximum stresses reduced in a case of bending with value of 5.72 %. In addition, the value of construction stiffness of improved beam joint model exhibited lower than the rigid beam joint as 44.85%, and 10.68% in the bending and torsion load case, respectively. To improve the accuracy of computer simulation, it will be beneficial to the passenger and the bus structure design and improvement procedure.
An Overview of Local Positioning System: Technologies, Techniques and Applications
Authors: Sahib Hasan Hameedah , Hussein Mohamed , Mad Saad Shaharil , Azuwan Mat Dzahir Mohd
Published: July 2019

Positioning system like global position system (GPS) and Local position system (LPS) have become very important in a large number of applications such as monitoring and tracking, etc. Because of the limitations of GPS in indoor environments due to the lack of line of sight (LoS), the use of LPS has become a true necessary to estimate user’s or object position with a good accuracy. In order to choose the best LPS system, a compromise between accuracy, precision, power consumption, coverage and cost should be taken into account. This paper introduces an overview of LPS performance parameters, current technologies, techniques and methods used by LPS. On the other hand, the comparison between LPS technologies and techniques used based on those technologies are also discussed. Furthermore, the LPS’s applications that have been done by previous researches such as human tracking, object tracking, animal tracking and automatic guide vehicle (AGV) tracking will be discussed. We believe this paper would catalyze further investigation by the researcher which is interested on the LPS field.
Practice of Sustainability in Higher Education
Authors: Ariesanti Alia , Ganis Sukoharsono Eko , Irianto Gugus , Erwin Saraswati Erwin
Published: July 2019

Higher education have a significant role in supporting the realization of sustainable development, thus forming the concept of the sustainable university. The concept of the sustainable university emphasizes the importance of economic, environmental and social activities conducted by the college. The college is expected to formulate the curriculum, perform research and community service activities with the topic of sustainability. The purpose of this study was to assess the extent of higher education considering the environmental, social and economical in their activities. The respondents of this study are the head of a department in Ahmad Dahlan University, Indonesia. This study uses a mixed method approach. Quantitative data obtained using a questionnaire, then processed by using the compared group statistical test. Qualitative data obtained using interview, then processed by using data reduction, data display and conclusion and verification. The results of this survey suggest that the head of the departments had considered the aspect of sustainability in formulating the curriculum, implementation of research and community service activities. From the three points of the Tridharma, which is learning and curricula, research and community service, the departments give more attention to community service activities.
A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production
Authors: Abdul Malik Azlinda , Hilmi Hasan Mohd , Jasamai Mazuin
Published: July 2019

The business processes and decisions of oil and gas operations generate large amounts of data, which causes surveillance engineers to spend more time gathering, and analyzing them. To do this manually is inefficient. Hence, this study is proposed to leverage on data driven surveillance by adopting the principle of management by exception (MBE). The study aims to minimize the manual interaction between data and engineers; hence will focus on monitoring well production performance through pre-determined parameters with set of rules. The outcome of this study is a model that can identify any deviations from the pre-set rules and the model will alert user for deviations that occur. The model will also be able to predict on when the well be offline if the problem keeps on persisting without immediate action from user. The objective of this paper is to present a literature review on the prediction and management by exception for the above mentioned well management. The results presented in this paper will help in the development of the proposed prediction and management model. The literature review was conducted based on structured literature review methodology, and a comparative study among the collected works is analyzed and presented in this paper.
Core Loss Measurement of Somaloy 700 Material Under Round Loci of Magnetic Flux Density
Authors: Rohanim Asari Ashraf , Guo Youguang , Zhu Jianguo
Published: July 2019

The magnetic properties of SOMALOY 700 material are aggressively studied by some researchers in predicting the production of total core loss during the magnetization process of that particular material. Core loss is resulted due to the alternating and rotating magnetic fields in a core material.  The magnetic properties of SOMALOY 700 material is studied in this paper since it offers the low core loss during the operation. 2-D measurement were conducted by controlling the fluxes to be circular with the help of LabVIEW while the core loss calculations were calculated by MathCAD. The performance of SOMALOY 700 material at different frequencies were compared. The finding indicates that the magnetization at 1000 Hz contributes higher core loss compared to the magnetization at 500 Hz and 50 Hz. The details of SOMALOY 700 material provide good information to practitioners in designing electrical machine at different variation of frequencies.
Sunset Policy and its Effect on Tax Compliance: Case Study Indonesia
Authors: Sylviana Kasim S.Sos. M.Si Elsie , Arianty S.Sos. M.Si Fitria , Hikmah S.Si. M.Si Yulial
Published: July 2019

Indonesia has several times conducted Tax Amnesty as an effort to pursue the target of increasing tax revenue. One of the Tax Amnesty ever conducted by Indonesia is Sunset Policy which is giving the elimination of administrative sanction. It cannot be denied that Sunset Policy will result in an increase in tax compliance in the short term. This research will look at the long-term impact of Sunset Policy in Indonesia by using Seasonal Autoregressive Integrated Moving Average (SARIMA). The approach used by the authors in this study is a quantitative approach that is a descriptive analysis. The data obtained is secondary data in the form of monthly data receipt of Personal Income Tax from 2004 to 2012 which can be used as a review and researcher base to analyze the effect of Sunset Policy on tax compliance level in Indonesia. Based on the data processing, the results obtained that Sunset Policy affected tax compliance in the year of the issuance of Sunset Policy. However, in the following years after the Sunset Policy is no longer valid, the policy still has a significant effect on tax compliance. Post-Sunset Policy the government does not issue a special policy in order to enforce the law.
Grease and its Application on Electrical Equipment: a Review
Authors: Suhaila A Japar N , Aizudin A. Aziz M , Najib Razali Mohd , Waheeda Abdu Rahman Nurul , . .
Published: July 2019

Grease hardening and dry-out have been part of the major challenges in grease usage in electrical industry. The findings obtained over the years related to the study of synthetic, specialty, and new grease have found that the usage of these greases are costly; hence, it is very necessary to find an alternative method to reduce the cost as much as possible. Increasing petroleum demands, depletion of petroleum reserves, and the environmental awareness have influenced a huge interest in the use of waste oil as the alternative of base oil for grease formulation. The waste oils are considered as a promising candidate due the fact that the re-refining process of base oil is relatively cheap with high yield and the recovery of good quality oil. Optimum grease formulation is necessary in solving the aforementioned issues as well as overcoming complication specifically in the electrical industry where these greases are mainly utilized.
Anaerobic Reactor for Indonesian Tofu Wastewater Treatment
Authors: Adisasmito Sanggono , Borromeus Rasrendra Carolus , Chandra Hengky , Adimas Gunartono Mohammad
Published: July 2019

An Upflow Anaerobic Sludge Blanket (UASB) reactor was used to process liquid wastes from a tofu industry with COD (Chemical Oxygen Demand) 7619 mg/L, pH 4, and TSS (Total Suspended Solid) 1035 mg/L. This work is part of efforts to clean Citarum River in West Java, Indonesia, named as Citarum Harum national program.  The liquid Hydraulic Retention Time (HRT) in the reactor was varied from 2, 3, 4, and 5 days and the resulting COD outputs were 6783 mg/L, 6494 mg/L, 5806 mg/L, and 4722 mg/L respectively. The results represented up to 38% in COD reduction. Biogas was produced from the UASB Reactor with the maximum production rate of 1.56 mL/min. The composition of the biogas was methane (56.4% -mole), carbon dioxide (42.7% -mole), and impurities (0.9% -mole) with the Lower Heating Value (LHV) of 20.2 MJ/Nm3.
Analyzing The Stress Levels of A Patient Using Heart Beat and Pulse Rate Sensor by Arduino Interface with CRO
Authors: Arunamanjusha K , Kalyani T , Naresh B , Nagaraju N
Published: July 2019

With the advancements in medical field, it is easy to treat numerous diseases and study various micro organisms and produce life saving drugs that did not exist few decades back. However, we do not have enough apparatus that is simple and user-friendly to analyze or make assessments to determine the psychological conditions of a patient. The treatment given to the patient is affected by the person’s psychological state of mind in terms of stress or emotional levels. A person’s stress levels are basically determined by the emotional response and in turn the electrical impulses generated through the exchange of sodium and potassium ions at the cell wall of the human body which is generally maintained at -70mV. The electrical impulses can be captured at the heart or brain or both in order to analyze the state of the patients receiving any particular treatment. In this paper the register pulse rate using heart beat sensor and graph it at certain intervals of time.  The slope joining the peaks of consecutive readings indicates the increase /decrease of the patients stress and responsiveness to the treatment
A Navel Analysis of GNSS for Monitoring the Position of Trains
Authors: Yakaiah P , Nishanth Rao K , V.S. Prasad S , Ramesh Reddy G , Raveendranadh B , Nagarjuna T
Published: July 2019

This Proposed paper using the technique of Navigation system that is Global navigation satellite system[1-2], which are usable to reach the trains in accurate time. The performance of these system is able analyze the based on reliability and maintainability. In this paper presented the operation of receiver navigation system, and also analyze the water levels on the railway track, and also identifying the accidents, and the information will be sent to respective registered mobiles.
Gene Selection Approaches for Classifying Disease Relevant Data Sample
Authors: Briso Becky Bell J , Maria Celestin Vigila S
Published: July 2019

In the latest field of gene expression profiling, the identification of most highly expressed genes with respect to diseases is been in focus lately, As to study the disease types and classify normal from disease syndrome samples. This paper portrays four gene selection approaches such as Pearson correlation, Signal to Noise Correlation, Feature Assessment by Sliding threshold and Feature Assessment by Information Retrieval for retrieving highly relevant genes oriented to a specific disease. This experiment uses various disease dataset for operating on the typical gene selection methods and to select top ten most relevant genes and thus selected genes are learned on using classifiers such as Support Vector Machine, K-Nearest Neighbour and Naïve Bayes to classify the specific disease oriented classes distinctively. Here we also compare the performance of our classifier with the previous papers techniques using classification Accuracy.
Proposed Method to Generated Strong Keys by Fuzzy Extractor And Biometric
Authors: Saleem Huda , Albermany Huda , Hadi Husein
Published: July 2019

The typical scheme used to generated cryptographic key is a fuzzy extractor. The fuzzy extractor is the extraction of a stable data from biometric data or noisy data based on the error correction code (ECC) method. Forward error correction includes two ways are blocked and convolutional coding used for error control coding. “Bose_Chaudhuri_Hocquenghem” (BCH) is one of the error correcting codes employ to correct errors in noise data. In this paper use fuzzy extractor scheme to find strong key based on BCH coding, face recognition data used SVD method and hash function. Hash_512 converted a string with variable length into a string of fixed length, it aims to protect information against the threat of repudiation.
Evaluation of Tensile and Thermal Behavior Analysis of Nano Carbon Fiber Reinforced Polymer Composite
Authors: Vinod Kumar T , Chandrasekaran M , Vivek P , Vairavel M
Published: July 2019

Today a lot of research work is performed throughout the world on the use of natural fibers as a strengthening material introduced in the preparation of various kinds of composites, and also the use of natural fiber/polymer composites in civil and mechanical engineering fields are playing very important role due to its usage of natural resource and its properties. From the current journal, we have recently found NFRPC fibers which are extracted from NFRPC plants by involving hard physical work. In this journal, the tensile components of the six to seven months NFRPCare analyzed through various tests such as FTIR, XRD, SEM, THERMO GRAVIMETRIC ANALYSE and match with other available conventional all-natural fibers, and also examine the chemical qualities of NFRPC. The fiber of NFRPC has a high wax content, so it's easy to bind with materials like resin. SEM analyze also signifies the presence of voids on the interior surface of the fiber material. and the results show that the NFRPC provides good Tensile and Thermal properties.