bluuebunny/crossref_metadata_2025 huggingface dataset:
An Intelligent Framework Prototype for Monitoring Students in Virtual Classroom
Authors: Satapathy Ashutosh , L. M Jenila Livingston
Published: January 2019

Virtual classroom is one of the fastest growing educational technologies used by many industries and institutions. Today, Voice over Internet Protocol (VoIP) cloud is become a most accepted replacement to different virtual classroom technologies such as internet chat, internet radio, web conferencing, traditional video conferencing and peer to peer VoIP calls. It provides greater flexibility, reliability and cost efficient telecommunication features and operates on comparatively lesser bandwidth. Involvement of new technology in virtual classroom makes it more reliable to teachers and students. Still it follows traditional methods to monitor students by invigilator whether it may be inside the classroom or home study. A secure framework for virtual classroom is developed to not only monitor student’s activities continuously but also the amount of time spent by each student and provide security against unsecure unauthorized login. An effective monitoring System based on Liveness Face Detection techniques is proposed to add more flexibility to conduct virtual classroom and also increases the level of securities of each student’s accounts.
High Gain Power Generation Based On Hybrid Renewable Energy for AC Load Application
Authors: Mohammad Irshad Shaik , Ramesh G.P
Published: January 2019

This study presents the distributed energy source based current fed inverter has generated high voltage with less passive elements. The hybrid renewable energy generation such as solar and wind has used. The single stage power generation based switched inverter has combined characteristics of both impedance source inverter and switched boost inverter. In conventional voltage source inverter has less boost ability and high electromagnetic noise immunity to the modified current fed inverter circuit. The single diode photovoltaic model and wind-based energy generation have fed into current fed switched inverter for improving high gain and high power factor. The maximum power point tracking such as incremental conductance algorithm has fast-tracking of solar power and generates continuous power to the inverter circuit. 12V solar power and wind power is designed for dc power production, and the output of dc link capacitor is 118V using current fed switched inverter. The current fed switched inverter is designed and implemented in MATLAB/Simulink environment.
Performance of Bidirectional Converter Based On Grid Application
Authors: Vidhyalakshmi D. , Balaji K.
Published: January 2019

A transformer less bidirectional inverter fed grid-connected system has implemented and function as both forward and reverse power flow by battery and photovoltaic system. In dc distributed system has utilized the renewable energy such as PV, wind, battery and fuel system. In conventional method the dc bus regulation by using the one line cycle regulation method and one-sixth line cycle regulation. In proposed method utilize both converter and inverter operates bidirectional direction and utilize both solar and PV source. The solar energy had less cost, pollution less energy generation and fed into the bidirectional converter. The PI-based control method is used to operate both forward and reverse direction. The model predictive control method is used in the bidirectional inverter for control the current and voltage of the grid-connected system. The power flow control in the distribution system by the constant power loads such as dc/dc converter because conduct the negative dynamic impedance. The three-phase bidirectional inverter is designed and implemented in MATLAB/Simulink environment.
An Effective and Trustable Spatial Service Recommendation Algorithm for Spatial Query Retrieval In Geo-Social Network
Authors: Lakshmaiah K. , Krishna S. Murali , Reddy B. Eswara
Published: January 2019

The spatial information (e.g., restaurants/hotels) is related with the keyword(s) to indicate their businesses, services and features. The main issue of relevant information retrieval is to query an entity which includes a set of spatial query keywords and have the smallest amount of inter-object distance. The spatial queries with keywords have not been extensively explored. Still, the traditional method was focused on the multidimensional data. Previous works mostly targeted to predict the top-k Nearest Neighbors keyword query, where every keyword should be equivalent to the whole querying keywords. However, the mechanism does not consider the density of data entities in the spatial space. To overcome the above issues, An Effective and Trustable Spatial Service Recommendation (ETSSR) algorithm focuses on the most relevant information retrieval with the enhanced accuracy and minimal retrieval time for spatial information services. The main goal of work is to provide best spatial information retrieval with an accurateness of location prediction and minimal information retrieval time. The system minimizes the classification issue and visualization problem for spatial information in Geospatial Social network. The system improves the spatial information retrieval with an accuracy of location prediction and minimizes the information retrieval time compare than existing methods. Based on Experimental estimations, proposed ETSSR+KNN enhanced 0.48 P (Precision) and 0.49 R (Recall) and minimized 28 milliseconds query retrieval time.
Effort Estimation in Traditional and Agile Mobile Application Development & Testing
Authors: Kaur Anureet , Kaur Kulwant
Published: January 2019

Smartphones/mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.
Decision Making in the Tea Leaves Diseases Detection Using Mamdani Fuzzy Inference Method
Authors: Lubis Arif Ridho , Prayudani Santi , Lubis Muharman , Khowarizmi Al
Published: January 2019

The tea plants (Camellia Sinensis) are small tree species that use leaves and leaf buds to produce tea harvested through a monoculture system. It is an agriculture practice to cultivate one types of crop or livestock, variety or breed on a farm annually. Moreover, the emergence of pests, pathogens and diseases cause serious damages to tea plants significantly to its productivity and quality to optimum worst. All parts of the tea plant such as leaves, stems, roots, flowers and fruits are exposed to these harm lead to loss of yield 7 until 10% per year. The intensity of these attacks vary greatly on particular climate, the degree slope and the plant material used. Therefore, this study analyzes tea leaves as a common part used in recipes to create unique taste and flavor in tea production, especially in agro-industry. The decision making method used is Fuzzy Mamdani Inference as one of model with functional hierarchy with initial input based on established criteria. Fuzzy logic will provide tolerance to the set of value, so that small changes will not result in significant category differences, only affect the membership level on the variable value. Previous method using probabilities have shown 78% tea leaves have been attacked by category C (Gray Blight) while using Mamdani indicated 86% of tea leaves have been infected. In this case, this result pointed out that Fuzzy Mamdani Inferences have more optimal result compare to the previous method.
Preserving Authenticity and Integrity of Distributed Networks through Novel Message Authentication Code
Authors: K. Sodhi Gurpreet , S. Gaba Gurjot , Kansal Lavish , Babulak Eduard , AlZain Mohammed , Kumar Arora Sandeep , Masud Mehedi
Published: January 2019

In this era of universal electronic connectivity, communication is no more confined to transfer of data from one end to the other; rather it aims at secure data transfer. Communication sector has developed beyond this traditional boundary of data transfer and is now working on ways to provide data from the intended senders to the intended receivers in an unaltered form. Considering all these conditions, the data transfer needs to follow the principles of authentication, confidentiality and integrity. The former two have been addressed using digital signatures and encryption schemes respectively, while the solution to the later is the use of Message Authentication Code. This paper presents a Message Authentication Code scheme, which uses the biological characteristics represented by Deoxyribonucleic acid combined with the output of Blum Blum Shub Random Number Generator, as a secret key along with a novel hash algorithm. This Message Authentication Code structure is evaluated on the basis of National Institute of Science and Technology test suite for random numbers, avalanche criteria and network attacks. The results reveal that the proposed scheme performs well under all the criteria and thus is capable of preserving integrity; this increases its applicability in any data sensitive environment.
Validation of Curriculum Design Information System Model
Authors: Chee Ling Thong , Yah Jusoh Yusmadi , Abdullah Rusli , Hayati Alwi Nor
Published: January 2019

Information system (IS) is important to institution of higher learning (IHL) especially in the domain of curriculum design. Without the support of IS, curriculum design in IHL is time-consuming, error-prone and much effort need to put in by curriculum designers. Although there are numerous IS developed in curriculum design domain for the past few years, there is still lack of specific IS curriculum design model found in IHL.  This study aims to propose an IS model which provide guidance during curriculum design process. Model validation phase begin with development of prototype which explains the process of creating a prototype according to the proposed model. The study collected 80 responses from the survey and the study resulted that the IS model is useful and able to reduce time, error and effort during curriculum design process.
An Energy-Aware and Load-balancing Routing scheme for Wireless Sensor Networks
Authors: Adil Mahdi Omar , Bahar Al-Mayouf Yusor Rafid , Basil Ghazi Ahmed , Abed Mohammed Mazin , Abdul Wahab Ainuddin Wahid , Idna Bin Idris Mohd Yamani Idna Bin Idris
Published: January 2019

Energy and memory limitations are considerable constraints of sensor nodes in wireless sensor networks (WSNs). The limited energy supplied to network nodes causes WSNs to face crucial functional limitations. Therefore, the problem of limited energy resource on sensor nodes can only be addressed by using them efficiently. In this research work, an energy-balancing routing scheme for in-network data aggregation is presented. This scheme is referred to as Energy-aware and load-Balancing Routing scheme for Data Aggregation (hereinafter referred to as EBR-DA). The EBRDA aims to provide an energy efficient multiple-hop routing to the destination on the basis of the quality of the links between the source and destination. In view of this goal, a link cost function is introduced to assess the quality of the links by considering the new multi-criteria node weight metric, in which energy and load balancing are considered. The node weight is considered in constructing and updating the routing tree to achieve dynamic behavior for event-driven WSNs. The proposed EBR-DA was evaluated and validated by simulation, and the results were compared with those of InFRA and DRINA by using performance metrics for dense static networks.
Factors Influencing Cloud Computing in Telecommunications Companies
Authors: Wishah Raed , Al-Nsour Marwan , Alharafsheh Malek , AlKhalaileh Saleh , Alshbeekat Farah
Published: January 2019

This study aims to identify the role of cloud computing in achieving success in e-governance in Jordan. This paper investigates the effect of four accomplishment aspects (availability, flexibility, cost saving and scalability) for executing cloud computing technology in telecommunication companies on Jordan e-governance implementation. A questionnaire was developed to collect data from respondents working for the three-main public mobile telephone network operators: Zain, Orange and Umniah. The Statistical Package for Social Sciences program was used in the descriptive analysis of the responses. The results show that all four success factors have a high level of impact, separately and together, on e-governance in Jordan. Cost saving has the highest impact, followed by scalability, availability and flexibility. Based on these results, the study makes some suggestions for further research that could enrich understanding of the implementation of cloud computing and its effect on egovernance in Jordan.
Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
Authors: Sundarajoo Suresh , Abdul Ghani Ahmad Shahrizan
Published: January 2019

Auto tracking mobile robot is a device that able to detect and track a target. For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. In this project HSI-based color filtering algorithm were used for object identification. This is because HSI parameter are more stable in different light and background conditions, so it is selected as the main parameters of this system. Pixy CMUcam5 is used as the vision sensor while Arduino Uno as the main microcontroller that controls all the input and output of the device. Besides that, L293D is used as the motor driver to control the movement of two DC motors that attached to the wheel of the robot. Moreover, two servo motors were used to control the pan-tilt movement of the vision sensor. Experimental results demonstrate that when HSI color-based filtering algorithm is applied to visual tracking it improves the accuracy and stability of tracking under the condition of varying brightness, or even in the low-light-level environment. Besides that, this algorithm also prevents tracking loss due to object color appears in the background.
Design of Quasi-Elliptic Bandpass Filter for Substrate Integrated Waveguide (SIW) Using Cross Coupling Technique
Authors: Mustapa Muhajir , Zakaria ZahrilAdha , Azwan Shairi Noor
Published: January 2019

This paper proposes a quasi-elliptic band pass filter in substrate integrated waveguide (SIW) by using cross coupling technique to produce transmission zeros (TZs) at both side. Finally, a fourth pole SIW quasi-elliptic filter at 5.75 GHz is designed in single layer substrate. Simulation results show that the filter has a center frequency of 5.75 GHz with the bandwidth of 100 MHz. The minimum insertion loss in the passband is 0.3 dB, and the return loss is better than 20 dB. Due to the TZs, the SIW filter has rapid transition performance at both lower and upper sidebands, good selectivity is achieved, while the SIW filter presents a very compact implementation and good
spurious rejection.
Digital Preservation of Intangible Cultural Heritage
Authors: Wan Isa Wan Malini , Mat Zin Nor Azan , Rosdi Fadhilah , Mohd Sarim Hafiz
Published: January 2019

Cultural heritage reflects a society’s identity, hence should be protected and preserved for the future generation. Digital preservation is significant for cultural heritage since there are a lot of important knowledge and collections of manuscripts and artefacts which need to be preserved to ensure sustainability for future generations. However, there is still a lack in digital preservation methods for cultural heritage especially intangible cultural heritage. This paper discusses cultural heritage and results of a study on intangible cultural heritage preservation. An interview with five experts in intangible cultural heritage domain has been carried out.  Results show that level of awareness of preserving intangible cultural heritage is still low. In addition, the heritage practitioners - artisans and craftsmen keep the knowledge and skills in their memory as preservation method.  Thus the knowledge depend on individual practitioners since no documentation is made. Informants are also aware of the importance of digitalization of intangible cultural heritage knowledge for the preservation and safeguard.
A Study of Meat Freshness Detection using Embedded-based pH Sensor
Authors: Mohamed Rajina R. , Yaacob Razali , Mohamed Mohamad A. , Ahmad Arniyati , Tajuddin Munir
Published: January 2019

For the past few years, food safety incidents often occur as a result of food poisoning from various food sources such as in schools, hospitals, night markets, street stalls and the like. When the quality of food is reduced due to the low level of freshness, cleanliness factor, safety and nutrition, it can contribute to health risks. According to World Health Organization, food poisoning ailment is a global problem and almost 1 in 10 people fall ill every year from eating degraded food and 420 000 die as a result. Factors such as cost savings, low awareness on food freshness and busy routine lifestyle aggravate the food poisoning problem. Hence it is important to at least maintain the freshness of the food mainly at the prominent area such as school and hospital. There are many methods used to test the freshness food, such as visual appearance, and also classical olfaction including normal olfactory and Scentometer, which requires trained panels to taste or smell the food samples to ensure the quality or strength of the odor. However, this method is rather subjective, because the human sense of smell and taste is different and may be influenced by the weather and experience. Conventional pH and litmus paper also are the alternatives, however the material itself is easily damaged and not suitable for the color blind person. In this paper, we presented raw meat examination using pH sensor based on food acidity. Examination of food freshness level is much easier using pH sensor since it is more practical to be used by consumers at home since it can be mobile, long lived, and accurate embedded-based application. Some testing has been conducted on sensor capability reacting with several buffer solutions on meat samples left at room temperature at various periods of time. Generally, the embedded pH sensor developed has successfully tested raw meat freshness level based on acidity level of meat.
Provisioning of Street Lighting based on Ambience Intensity for Smart City
Authors: Mohamed Rajina R , Mohamed Mohamad A , Ahmad Arniyati , Abd Halim Muhamad A H
Published: January 2019

Street lighting is a component that require an efficient energy management system for comprehensive energy savings. It should provide ultimate comfort and safety to road users that contribute to the stability of economy and social of the country as well to the smart city development. Currently many street lighting especially in Malaysia, which is ON in the evening and OFF before the sun sets without taking into consideration the ambient brightness and also the number of vehicles. This condition may increase the use of energy as well as dangerous to motorist. Thus this Ambient Street Lighting project was developed using embedded-based Arduino microcontroller for lighting management based on the circumstances surrounding of the road. A threshold value is set based on a reading of the actual situation in order to test the functionality of the prototype. The Ambient Street Lighting prototype have reacted with success towards surrounding brightness/darkness and number of cars passing by on the street.
Optimal Grid-Connected PV System for a Campus Microgrid
Authors: Basir Khan Mohammed Reyasudin , Pasupuleti Jagadeesh , Al-Fattah Jabbar , Tahmasebi Mehrdad
Published: January 2019

This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency. The microgrid modeled and simulated in Hybrid Optimization Model for Electrical Renewable (HOMER) software. Actual load profile and renewable resources were used as an input parameter for the hybrid system. The campus selected is Universiti Kuala Lumpur, British Malaysian Institute as it represents typical load profile for a small campus. Therefore, the results can be used to represent hybrid system development for other small campuses in Malaysia as well. Firstly, optimal sizing of renewable energy (RE) were simulated with respect to total Net Present Cost (NPC) and Cost of Energy (COE). Then, sensitivity analysis conducted to determine the system performance based on changes of load growth, and renewable resources. The results demonstrate optimal HRES combinations for the campus microgrid comprises of 50 kWp of PV generations with 50 kW inverter. However, inclusion of 576 kWh battery storage system will increase the NPC but has higher RE penetration.
A Wavelet Based Solar Radiation Prediction in Nigeria Using Adaptive Neuro-Fuzzy Approach
Authors: Salisu Sani , Mustafa Mohd Wazir , Mustapha Mamunu
Published: January 2019

In this study, a hybrid approach combining an Adaptive Neuro-Fuzzy Inference System (ANFIS) and Wavelet Transform (WT) is examined for solar radiation prediction in Nigeria. Meteorological data obtained from NIMET Nigeria comprising of monthly mean minimum temperature, maximum temperature, relative humidity and sunshine hours were used as inputs to the model and monthly mean solar radiation was used as the model output. The data used was divided into two for training and testing, with 70% used during the training phase and 30% during the testing phase. The hybrid model performance is assessed using three statistical evaluators, Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and Coefficient of determination (R2). According to the results obtained, a very accurate prediction was achieved by the WT- ANFIS model by improving the value of (R2) by at least 14% and RMSE by at least 78% when compared with other existing models. And a MAPE of 2% is recorded using the proposed approach. The obtained results prove the developed WT-ANFIS model as an efficient tool for solar radiation prediction.
Transient Stability Improvement of the Power Systems
Authors: Al-Tameemi Zaid H. , Enawi Hayder H. , Al-Anbary Karrar M. , Almukhtar Hussam M.
Published: January 2019

During the last few decades, electrical power demand enlarged significantly whereas power production and transmission expansions has been brutally restricted as a result of restricted resources as well as ecological constrains. Consequently, many transmission lines have been profoundly loading so the stability of power system became as Limiting factor for transferring electrical power. So, maintaining a secure and stable operation of the electric power networks is deemed an imporatant and challenge issue.transient stability of a power system has been gained a considerable attention from researchers dute to it importance . Therefore,this paper sheds light on A substantial number of the adopted techniques, including an inclease in  inertia constant of generator, shunt capacitor, reduction reactance of the transmission line to acheive this purpose. A 7-Machine CIGRE system has been considered a case study. Matlab package has been employed to implement this study. The simulation results show that the transient stability of the repective system enhanced considerably with these techniques.
A Review on Registration of Medical Images Using Graph Theoretic Approaches
Authors: R Akshaya , Menon Hema P
Published: January 2019

Image registration is very essential for image analysis especially in the medical field. The registered image helps us to find a lot of things like the presence of a tumor, aneurysm, and many more. Image registration is a process of aligning two images that were captured during different conditions that makes analyzing of images possible. There are various methods in which images can be registered. This paper mainly discusses the methods that use the graph approach to register the medical images. The main focus is on rigid and non-rigid registration techniques and gives a brief description of the methods present.
Comparison of Multiscale Entropy for Lung Sound Classification
Authors: Rizal Achmad , Hidayat Risanuri , Nugroho Hanung Adi
Published: January 2019

Lung sound is a biological signal used to determine the health level of the respiratory tract. Various digital signal processing techniques have been developed for the automatic lung sound classification. Entropy is one of the parameters used to measure the biomedical signal complexity. Multiscale entropy is introduced to measure the entropy of a signal at a particular scale range. Over time, various multiscale entropy techniques are used to measure the signal complexity on biological signal and other physical signals. In this paper, a number of multiscale entropy techniques for the lung sound classification are discussed. The results showed that Multiscale Permutation Entropy (MPE) could produce the highest accuracy of 97.98% for five classes of lung sound data. Results achieved for the scale 1-10 producing ten features for each lung sound data. This result is better than other seven entropies. The use of Permutation entropy (PE) on a multiscale scheme was to obtain a better accuracy compared to PE on one scale only 
A proposed forward clause slicing application
Authors: Awad Khalil , Abdallah Mohammad , Tamimi Abdelfatah , Ngah Amir , Tamimi Hanadi
Published: January 2019

The Clause slicing technique is static slicing techniques which also have forward and backward slicing methods. The Clause slice criteria are the clause and the clause number. In this paper, we have discussed the Clauser tool the forward clause slicing tool introduce some improvements to it. The Clauser mechanism divides the program code statement into clauses, depending on clause slicing rules, identifies the variables and built-in functions, then slices the clauses regarding the slice criterion that was entered by the user. Comparing to other static slicing techniques the clause slicing is more accurate and precise because it considers all the code in micro-level, where it focuses on every syntax in the code. The Clauser still needs to be enhanced to slice more code features.
Comparative analysis of first person shooter games on game modes and weapons – military-themed, overwatch, and player unknowns’ battleground
Authors: Rhee Hae Kyung , Song Doo Heon , Kim Jeong Hoon
Published: January 2019

First-person shooter is a video game genre centered on gun and other weapon-based combat in a first-person perspective. It is the second most favored genre among young Korean male gamers. Recently, the resurrected old-school-shooter Overwatch and Battle Royale style Player Unknowns’ Battleground enjoy a big success in  Korean game market and worldwide meanwhile the military-themed games in the genre have shrunken especially in Korean market. In this paper, we take a comparative analysis on the game structures and game modes and particularly the weapon system used in the game to facilitate the player balancing in the team based combat. Two recent successful games in the genre showed different strengths over traditional military-themed first-person-shooter in this comparative study.
Functional usability analysis of top Korean mobile role playing games based on user interface design
Authors: Lee Seunh Hoon , Song Doo Heon
Published: January 2019

Mobile Tole Playing Games (RPGs) are now very popular in gaming market. Still, we have great constraint in hardware provided such as screen size and interaction speed. Adopting techniques such as auto play enables the game designers to weaken the burdens of porting RPG scales to mobile platform. However, the interface design in mobile platform becomes quite different from PC based platform. In this paper, we investigate how user interface functionalities are provided for popular mobile RPGs based on google play downloaded between the year of 2014 and 2016. We analyze the commonalities and the differences of recent successful mobile RPGs first and take a user survey with heuristics. In result, subjects who are 16 ~ 25 in age weakly accept current interface layout and control as over 70% positive rate in 4 point Likert scale test.
FPGA implementation of color image encryption using a new chaotic map
Authors: Abdullah Hamsa A , Abdullah Hikmat N
Published: January 2019

In this paper, an FPGA implementation of efficient image encryption algorithm using a chaotic map has been proposed. The proposed system consists of two phases image encryption technique. First phase consists of scrambling of pixel position and second phase consist of diffusion of bit value. In the first phase, original pixel values remain unchanged. In second phase, pixel values are modified. These modifications are done by using chaotic behavior of a recently developed chaotic map called Nahrain.  A color image encryption using Nahrain chaotic map is simulated in software via Matlab, Altera Quartus Prime 17.0 Lite EditionI and ModelSim software tools then implemented in hardware via Cyclone V GX Starter Kit FPGA platform. The results show the feasibility and effectiveness of the cryptosystem. As a typical application, the image encryption/decryption is used to demonstrate and verify the operation of the cryptosystem hardware. Complete analysis on robustness of the method is investigated. Correlation, Encryption time, Decryption time and key sensitivity show that the proposed crypto processor offers high security and reliable encryption speed for real-time image encryption and transmission.  To evaluate the performance, histogram, correlation, information entropy, number of pixel change rate (NPCR), and unified average changing intensity (UACI) measures are used for security analysis. The simulation results and security analysis have demonstrated that the proposed encryption system is robust and flexible. For example the amount of entropy obtained by the proposed algorithm is 7.9964, which is very close to its ideal amount: 8, and NPCR is 99.76 %, which is the excellent value to obtain. The hardware simulation results show that the number of pins that used of the proposed system reaches to 6% of total pins and Logic utilization (in ALMs) is 1%.
IoT task management system using control board
Authors: Kim Changsu , Kim Youngkuk , Jung Hoekyung
Published: January 2019

Recently, Internet of Things (IoT) has been providing services that increase convenience for users by connecting objects to a network. As a result, the number of users and smart devices utilizing IoT is also increasing. So, the existing system has a problem that when a variety of devices are added, a bottleneck or an overload of the server occurs, because of structure of the system. In this paper, we propose IoT task management system using control board to solve these problems. The server performs only simple communication and analysis, and the management of tasks such as remote control is carried out using the control board. Also, it analyzes the user's remote control command and recommends to users the most used equipment. Through this, it is possible to reduce the data throughput and traffic of the server and to provide the service with increased convenience and accuracy of operation.

 
An ant colony algorithm for universiti sultan zainal abidin examination timetabling problem
Authors: Khair Ahmad Firdaus , Makhtar Mokhairi , Mazlan Munirah , Mohamed Mohamad Afendee , Rahman Mohd Nordin Abdul
Published: January 2019

The real-life construction of examination timetabling problem is considered as a common problem that always encountered and experienced in educational institution whether in school, college, and university. This problem is usually experienced by the academic management department where they have trouble to handle complexity for assign examination into a suitable timeslot manually. In this paper, an algorithm approach of ant colony optimisation (ACO) is presented to find an effective solution for dealing with Universiti Sultan Zainal Abidin (UniSZA) examination timetabling problems. A combination of heuristic with ACO algorithm contributes the development solution in order to simplify and optimize the pheromone occurrence of matrix updates which include the constraints problem. The implementation of real dataset instances from academic management is applied to the approach for generating the result of examination timetable. The result and performance that obtained will be used for further use to evaluate the quality and observe the solution whether our examination timetabling system is reliable and efficient than the manual management that can deal the constraints problem.
Colored facial image restoration by similarity enhanced implicative fuzzy association memory
Authors: Kim Kwang Baek , Song Doo Heon
Published: January 2019

Image restoration refers to the recovery of an underlying image from an observation that has been corrupted by various types of noise. In a digital forensic software, such image restoration process should be noise-tolerant, robust, fast, and scalable.  In this paper, we apply implicative fuzzy association memory structure in colored facial image restoration with enhanced similarity measure involved in output computarion. The efficacy if the proposed fuzzy associative memory model is verified by the experiment in that it was 95% successful (with zero mean square error) out of 20 tested images.
Enhancement gain of broadband elliptical microstrip patch array antenna with mutual coupling for wireless communication
Authors: Jassim Ali Khalid , Thaher Raad H.
Published: January 2019

The paper is presented analysis, design and manufacturing single optimize parameters of a new broadband elliptical patch antenna with microstrip center feed line and the array has been implemented to improve gain antenna. The antenna array dimension of mm3 and fabricated on an FR-4 epoxy substrate having relative dielectric constant =4.3, loss tangent tan (δ) =0.002 and the feed line used has characteristic impedance of 50Ω and added the triangle notch structure .Thus notch can achieve maximal additional enhancement impedance bandwidth are (3.679- 6.578) GHz, (13.84-25.142) GHz, (29.807-37.618) GHz and the gain 8dBi. The antenna array performance was modified by inserting stubs transition in feeding Microstrip line to reducing mutual coupling achieve impedance bandwidth (when S11-10dB). The modified antenna was designed to be used for wireless communication application. The simulation results are obtained using CST software.
Development of framework for detecting smoking scene in video clips
Authors: Ghuli Poonam , N Shashank B , Rao Athri G
Published: January 2019

According to Global Adult Tobacco Survey 2016-17, 61.9% of people quitting tobacco the reason was the warnings displayed on the product covers. The focus of this paper is to automatically display warning messages in video clips. This paper explains the development of a system to automatically detect the smoking scenes using image recognition approach in video clips and then add the warning message to the viewer.  The approach aims to detect the cigarette object using Tensorflow’s object detection API. Tensorflow is an open source software library for machine learning provided by Google which is broadly used in the field image recognition. At present, Faster R-CNN with Inception ResNet is theTensorflow’s slowest but most accurate model. Faster R-CNN with Inception Resnet v2 model is used to detect smoking scenes by training the model with cigarette as an object.
A new design of high output voltage rectifier for rectenna system at 2.45 GHz
Authors: Taybi Abdellah , Tajmouati A. , Zbitou J. , Errkik A. , Latrach M. , Abdellaoui L. El
Published: January 2019

This paper deals with the design and achievement of a novel microstrip rectifier with high conversion efficiency and output voltage. Firstly, we have designed a rectifier based on HSMS2820 Schottky diodes by using a series topology to convert the electromagnetic energy into DC power. Then, a stepped-impedance low pass filter was implemented to filter the unwanted harmonics generated by the non-linear Schottky diode. Both of the structures have been simulated and fabricated on an FR4 substrate with dielectric permittivity constant 4.4, thickness of 1.6 mm and loss tangent of 0.025. Good performances were confirmed throughout the measurement results and an interesting output voltage was observed.
A framework implementation of surveillance tracking system based on PIR motion sensors
Authors: Alathari Bashar , Kadhim Mohammed Falih , Al-Khammasi Salam , Ali Nabeel Salih
Published: January 2019

A motion tracking system made from affordable hardware components is implemented to be used inside the University of Kufa (UoK) buildings to track and detect any suspicious activities. The current research objectives are to automatically monitor, track intruders using sensors, servo, and camera that occurs around the system using Arduino microcontroller. The mounted camera track, capture the moving object and sending a live broadcast to a receiving host which could be a desktop computer, laptop, tablet or a smartphone. In this study, we consider the problem of automated position estimation using the electronic circuit of inexpensive binary motion sensors. We present simulation and experiments with Passive Infrared (PIR) motion sensors that suggest our current estimator. Fritzing software simulator is used to test and draw the circuits of the system. The proposed design worked efficiently during the experiments and shown high performance with 360 degrees of detection for the sensing environments.
Bandpass filter based on complementary split ring resonators at X-band
Authors: Furqan Furqan , Attamimi Said , Adriansyah Andi , Alaydrus Mudrik
Published: January 2019

Complementary Split Ring Resonators were used integrated in a substrate integrated waveguide to generate passband charateristics in X-Band. Based on a parameter study with an electromagnetic commercial software, the characteristics of double and quadruple CSRRs according the reflection and transmission factor were observed. The computer simulation showed, the bandpass filter worked in the frequency range 8.12-8.63 GHz and 8.11-8.63 GHz for double and quadruple CSRR, respectively. The insertion loss was 0.12 dB and 0.015 dB. The measurement mit a vector network analyzer verified the simulation results. The frequeny range measured was 8.12-8.67 GHz and 8.12-8.61 GHz for double and quadruple CSRRs, respectively. The measured insertion loss was 0.25 dB and 0.2 dB.
Improvement of CH election in three-level heterogeneous WSN
Authors: Lee Jong-Yong , Lee Daesung
Published: January 2019

A Wireless Sensor Network is a wirelessly configured Sensor Node with limited power such as a battery. There are many Wireless Sensor Network Protocols to increase energy efficiency, among which LEACH Protocol and SEP are typical. The LEACH Protocol is mainly used for homogeneous sensor networks with the same initial energy, and SEP is used for heterogeneous sensor networks with different initial energies. In the case of SEP-E, another heterogeneous sensor with different initial energy is added. SEP and SEP-E provide a higher probability of Cluster Head election for node types with more energy than Normal Nodes. Since the current residual energy of the node is not confirmed, even if the energy is low, the Cluster Head may be elected because of the node type. In this paper, considering the residual energy of a node when a Cluster Head is elected, we increase the probability of electing a Cluster Head with more residual energy. Cluster Head consumes a lot of energy. A node with a lot of residual energy is elected as a Cluster Head, so the network lifetime can be used for a long time.
Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method
Authors: Mujiarto Mujiarto , Djohar Asari , Komaro Mumu , Mohamed Mohamad Afendee , Rahayu Darmawan Setia , Sanjaya W. S. Mada , Mamat Mustafa , Sambas Aceng , Subiyanto Subiyanto
Published: January 2019

In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based on Arduino microcontroller is applied to the dynamic model of 5 DoF Robot Arm presented. MATLAB is used to detect colored objects based on image processing. Adaptive Neuro Fuzzy Inference System (ANFIS) method is a method for controlling robotic arm based on color detection of camera object and inverse kinematic model of trained data. Finally, the ANFIS algorithm is implemented in the robot arm to select objects and pick up red objects with good accuracy.
Explosion-proof thermal type gas flow sensor structure analysis and sensor module development
Authors: Kim Gwan-Hyung , Jung Hea-Sung , Jung In-Ho
Published: January 2019

The present study studied structure analysis and sensor modules for explosion-proof thermal type flow sensors that can withstand the poor surroundings of vessel engines and power plants and can be installed in gas lines. The structure analysis evaluated the integrity of the structures of the explosion-proof thermal type flow sensors with finite element analysis, and with regard to the operation of the sensor modules, those sensor modules that can detect environments where vibrations occur or where there are flows of high pressure gases or fluids were researched and developed. The explosion-proof thermal type flow sensor module consists of a sensing part, an adjustment part, and an output part, and a noise prevention circuit was added to secure the stability of the measurement signals. The flow sensor developed with the present study is a sensor module capable of measuring flows in domestic gas engines and gas piping and it is presented as a reliable sensor module because it is strong against vibrations and has excellent explosion-proof performance.
User command acquisition based IoT automatic control system
Authors: Kang Inshik , Song Hyunok , Jung Hoekyung
Published: January 2019

Recently, researches are being conducted to build a smart environment using various sensors and devices and to provide customized services to users through IoT (Internet of Things). The existing IoT system operates the device only by using the threshold value. So, there are problems that device operates when a service that does not consider a user characteristic is provided or when user not necessary. In this paper, to solve these problems, the system collects the remote control commands and compares it with the value of device operation threshold and sets the changed threshold value. In addition, devices not registered in the server constitute the environment by linking with existing task. Therefore, it is possible to provide a customized service to the users.
Solar PV fed non-isolated DC-DC converter for BLDC motor drive with speed control
Authors: RajaSekhar G. G , Banakar Basavaraja
Published: January 2019

Brushless DC motors (BLDC) are predominantly used these days due to its meritorious advantages over conventional motors. The paper presents PV fed BLDC speeds control system. A closed-loop interleaved boost converter increases the voltage from PV system to required level. Converter for BLDC operates at fundamental switching frequency which reduces losses due to high switching frequency. Internal current control method is developed and employed for the speed control of PV fed BLDC motor by sensing the actual speed feedback. Internal current controlled PV fed BLDC drive is analyzed with increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. Also the system with speed control is verified for variable torque condition. The system is developed and results are developed using MATLAB/SIMULINK software.

 
Electrical characteristic of photovoltaic thermal collector with water-multiwalled carbon nanotube nanofluid flow
Authors: Farhana Mohd Razali Nur , Fudholi Ahmad , Hafidz Ruslan Mohd , Sopian Kamaruzzaman
Published: January 2019

Photovoltaic thermal (PVT) studies show promising results from utilizing waste heat under the PV module. Heat removal is essentially the base of a PVT collector. The heat absorption from the back of the PV module used for different purposes. Solar energy being collected are mostly turned into heat and needs to be extracted to maintain PV’s efficiency. The PVT collector works similar to a flat plate solar collector, except that the short wavelengths are converted into electricity and the remaining wavelengths into useful heat. The heat collected is also at a lower magnitude than collected by solar thermal collectors. This study present the experimental investigation to improve the efficiency of PVT collector with and without Multiwalled Carbon Nanotube (MWCNT) nanofluid using spiral rectangular tube absorber as cooling. The electrical characteristic of PVT collector are represented by plotting power (P)-voltage (V), current (I)-voltage (V) curves. The results shows the power generated will increase with the increasing of solar radiation, and efficiency is slightly higher than the PVT collector without MWCNT. In addition, the highest maximum power increase is obtained when the 0.1 wt% MWCNT nanofluid is used as a coolant in the PVT collector.
Optimal placement of grid-connected photovoltaic generators in a power system for voltage stability enhancement
Authors: Kamaruzzaman Zetty Adibah , Mohamed Azah , Mohamed Ramizi
Published: January 2019

The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.