bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance analysis of DCT and successive division based digital image watermarking scheme
Authors: S. N. Prajwalasimha , Suputhra .S Chethan , C. S. Mohan
Published: March 2020

In this article, a combined Discrete Cosine Transformation (DCT) and Successive Division based image watermarking scheme is proposed. In many spatial domain approaches, the watermark information is embedded into Least Significant Bits (LSBs) of host image. These LSBs are more vulnerable to noise and other unwanted information contents in the channel, in few cases these are subjected for modifications also. Many frequency domain approaches withstands LSB interference problem but utilizes more execution time. The proposed technique is a frequency domain approach which can withstand LSB attack and utilizes very less execution time than other existing approaches. Performance analysis is done based on robustness, imperceptibility, data embedding capacity and time of execution. The experimental results are better compared to other existing techniques.
An obstacle aware mobile sink path strategy in WSN
Authors: Feiroz Khan T. H. , Siva Kumar D.
Published: March 2020

In Wireless Sensor Networks, Mobile Sink accomplishes considerable achievement on network lifetime improvement. In sensing environment, more chances to present the obstacle. But, in the mobile sink, how to identify the obstacle and make the obstacle aware path strategy is a challenging task. To overcome this problem, we propose an Obstacle Aware Mobile sink Path Strategy (OAMPS) that detects any obstacles which enter within the network lifetime and design a shortest mobile sink movement path avoiding detected obstacles. In this scheme, the mobile sink collects the sensing data from the super node then it sends the data to the base station. Here, static or moving obstacles are present when the mobile sink moves the path scheduling by spanning graph. This algorithm is introduced to discovering the obstacle avoiding shortest path. The source selects the route by the updated cuckoo search algorithm. The simulation results show that the OAMPS improved the throughput and minimized the delay in the network.
A weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment
Authors: Jerome Daim Terence , Ali Lee Razak Mohd
Published: March 2020

Impulse Radio Ultra-Wideband (IR-UWB) radar is a type of radar functioning based on UWB transmission technology that uses an exceedingly wide bandwidth low power impulse signal to continuously transmitting and receiving the impulse signal for object detection within a range. To date, most of the proposed Ultra-Wideband (UWB) transmission technology based object positioning estimation systems for indoor environment depends on objects to be attached with an active UWB devices. In certain circumstances, it is ideal to track objects in passive manner without the requirement of any attached tracking devices or device-free object positioning estimation. IR-UWB radar has shown promising utilization in realizing device-free object positioning estimation for indoor environment.  With this motivation, in this paper a work on weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment is presented.
A study of distilled water and zamzam water as dielecric dense patch antenna at 5 GHz
Authors: H. Moktar N. , I. Roseli W. , T. Ali M. , A. Awang R.
Published: March 2020

This paper was performed in order to study about distilled water and zamzam water which act as dielectric dense (DD) patch antenna at 5 Ghz applications. This antenna is proposed and designed using FR-4 substrate that sandwiched together to perform DD structure. The proposed antennas employ simple rectangular structure that fed with inset feeder surround by electromagnetic bandgap (EBG) structure.In order too enhance the gain, superstrate is applied on top of the antenna. This antenna offers a wideband return loss of more than -10dB between 4.41-5.52Ghz (around 22.2%) which can be applied in 5 Ghz applications. Details of DD water antenna of center frequency for 5 Ghz is presented and discussed.
A 5G graphene antenna produced by screen printing method
Authors: Hafizah Sa’don Siti Nor , Haizal Jamaluddin Mohd , Ramlee Kamarudin Muhammad , Ahmad Fauzan , Haimi Dahlan Samsul
Published: March 2020

The save and fast manufacturing are required in order to achieve 5G technology. However, there are many kinds of manufacturing antenna which are depending on material applied in the antenna itself. Each type of manufacturing also has its own advantages and drawback. In this article, a graphene antenna for 5G applications is manufactured using screen printing method. A fine mesh resolution of 120 µm is used to print the antenna accurately. This kind of printing has capability to produce antenna in less than 5 minutes. The antenna made by conductive graphene ink has size of 11.8 x 12.2 x 0.076 mm3 and produced within a small amount of graphene ink. The measured antenna resonates at 15.04 GHz with reflection coefficient magnitude of -12.05 dB and percentage of impedance bandwidth is 30 % which is in the range of 13.3 to 18.0 GHz. The radiation pattern at E-plane and H-plane of the graphene antenna are simulated and measured where the result obtained are comparable.
Characterization of concurrent ku band tropospheric scintillation and rain attenuation in Malaysia
Authors: Fawzi Elshami Ibtihal , Din Jafri , Hong Yin Lam , Elgayar Ali I
Published: March 2020

Tropospheric scintillation in satellite communication systems operating at frequencies over 10 GHz is a significant impairment, especially in tropical regions, as attenuation affects scintillation dramatically. This work concentrates on tropospheric scintillation in equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement study utilising a direct broadcast receiver and an automatic weather station. This study aimed to investigate the relationship between wet scintillation and rain attenuation using experimental measurements. The power spectral analysis has been carried out to determine required cut-off frequency of filtering to separate out rain attenuation and scintillation effects. The results can provide significant information on the fluctuations of wet scintillation at Ku-band earth space link in tropical regions.
K-means algorithm with level set for brain tumor segmentation
Authors: Abdelaziz Samah , Lu Songfeng
Published: March 2020

Brain is a complicated structure consisting of millions of millions cells so that, it’s difficult to identify any diseases without using any computerized technology. Magnetic resonance imaging (mri) is one of the main assessments of brain tumors. One of the most important steps on medical image processing is segmentation. Segmenting brain mri images, which provide accurate information for the diagnosis and therapy decisions of brain tumors. We proposed to segment brain tumor mri images into three parts (wm (white matter), gm (gray matter), and background). The first algorithm is for applying median filtering on brain mri image for removing the noise from the image for achieving accurate results. The second algorithm is for applying k-means algorithm for accuracy in time consuming and for clustering into regions and  the third algorithm indicate the detecting the boundary of the image with the use of level set. By comparison, our proposed method, its efficiency to segment perfectly more than other previous used algorithms especially on time consuming.
Pre-scheduled load shutdown in microgrid utilizing computerized surveillance system
Authors: Kanimozhi G , G Kanimozhi , E Umamaheswari , Mani Devi , U Anitha.R
Published: March 2020

The successful inclusion of microgrids for enhancement of the existing power system is laden with many challenges. Increase in demand and insufficient power generation results in power shutdown in several areas which comprises non-critical loads. The preface of Distributed Generation (DG) in power system has varied implications on the existing system. The concept proposed in this paper helps in time scheduling and load scheduling of a power system based on priority setting and time setting. The load management may also be done using IoT which enables load shedding from remote areas.
An exploratory study of users’ experiences with e-participation: a case study of Malaysia
Authors: Basri Nasrah Hassan , Adnan Wan Adilah Wan , Baharin Hanif
Published: March 2020

The need to encourage citizens’ adoption of e-participation services has prompted an expanding enthusiasm for the evaluation of e-participation websites. The achievement of e-participation websites depends intensely on how well it is perceived by the users. E-participation is a relatively new approach, so it is important to evaluate it deliberately, in order to comprehend it better, obtain more knowledge about it and distinguish the preferences and advantages it offers, and not to overlook its disadvantages so that we can improve it. Concerning evaluation, many researchers have concentrated on infrastructure and technical issues without giving more attention to user experience as one of the core elements impacting the success or failure of e-participation websites. This paper evaluated e-participation module that located in Malaysia e-government website by utilizing think-aloud method.  Think-aloud was being utilized to gauge the perceptions of citizens in their use of e-participation.
An efficient Mppt approach of PV systems: incremental conduction pathway
Authors: Azad Murari Lal , Sadhu Pradip Kumar , Arvind P , Gupta Anagh , Bandyopadhyay Tuhin , Das Soumya , Samanta Sabyasachi
Published: March 2020

Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.
Detection of foreign objects in milk using an ultrasonic system
Authors: Mohd Khairi Mohd Taufiq , Ibrahim Sallehuddin , Md Yunus Mohd Amri , Ridhwan Wahap Ahmad
Published: March 2020

This paper presents the utilization of an ultrasonic sensing system to detect foreign objects in milk. The advantage of an ultrasonic system is that it is low cost and it can detect a wide range of materials. A foreign body is any contaminated object found in food. Because of the scale of multifarious food processing levels and distribution, the utilization of the food product are sometimes difficult to control, which will inevitably lead to some complaints by consumers. Milk is widely consumed in the world as it is considered as a healthy drink due to it is high nutrients levels. However, from time to time cases of milk contamination are reported. In this paper. the relationship between the foreign bodies in terms of their dimensions and the resultant amplitude are presented. Mathematical modelling were carried out based on two ultrasonic parameters i.e. acoustic impedance and wave amplitude utilizing several types of foreign bodies with different dimensions. Three types of foreign bodies which are steel, rubber and air were investigated to determine the voltage amplitude detected by the ultrasonic receiver when the foreign bodies obstructed the ultrasonic wave propagation path. The diameters of foreign bodies were in the range from 4 mm to 11 mm. The results showed good correlations between the receiver voltage and the size of foreign bodies with correlation coefficients greater than 0.95. Each foreign body also demonstrated different voltage amplitudes when several sizes of the foreign bodies were tested which showed the ability of the system to distinguish the size of each foreign body.
Fault location identification of double circuit transmission line using discrete wavelet transform
Authors: Mustapha Abdul Hadi Bin , Hamdan R , Noh F. H. Mohd , Zambri N. A. , Jalil M. H. A. , Morsin Marlia , Basar M.F.
Published: March 2020

The importance of supplying undisturbed electricity keep increasing due to modernization and lifestyle. Any disturbance in the power system may lead to discontinuation and degradation in the power quality. Therefore, detecting fault, fault type and fault location is a major issue in power transmission system in order to ensure reliable power delivery system. This paper will compare two prominent methods to estimate the fault location of double circuit transmission line. Those methods are Discrete Wavelet Transform algorithm and Fast Fourier Transform algorithm. Simulations has been carried out in MATLAB/Simulink and a variety of fault has been imposed in order to analyse the capability and accuracy of the fault location detection algorithm. Results obtained portrayed that both algorithms provide good performance in estimating the fault location. However, the maximum percentage error produced by the Discrete Wavelet Transform is only 0.25%, 0.6% lower than maximum error produces by Fast Fourier Transform algorithm. As a conclusion, Discrete Wavelet Transform possesses better capability to estimate fault location as compared to Fast Fourier Transform algorithm.
Remote tending of modern broadcast transmitters
Authors: Mappatao Gerino , Bautista Isaiah Mari Zebedia , Orsos Marc Kevin , Ribo Mark Aldrine , Castillo Joseph
Published: March 2020

Once broadcast transmitters are put into operation, regulatory bodies in different countries require the equipment to be monitored, data logged and controlled. Normally, transmitter personnel turn ON the transmitter at the start of the broadcasting activities, and turn it OFF at the end of the activities. They also regularly record the transmitter meter readings on output power, voltage and current as long as the transmitter is on-air. These data must be logged and saved for future references. These procedures are done by transmitter personnel manually. With the advent of internet technology, this paper presents a system to remotely monitor, gather and record meter readings, and a provision to control the turning ON/OFF as well as to adjust the output power of a number of digital transmitters. All these procedures are done in one central location. The system was implemented and then tested using a digital television transmitter. Results of the tests show that the developed system capable of performing the functions of a transmitter technician in monitoring, logging and control of broadcast transmitters remotely. With the use of the system, broadcast networks can reduce operating costs in tending their transmitters but still able to comply with the requirements.
Design of compact microstrip patch antenna for WBAN applications at ISM 2.4 GHz
Authors: M Ali Shahid , Jeoti Varun , Saeidi Tale , Peng Wen Wong
Published: March 2020

This paper introduces the design of compact microstrip patch antenna for wireless body area network (WBAN) applications at ISM 2.4 GHz. The design consists of a radiating patch on one side of the substrate and a ground plane is located on the other side of the substrate. The antenna is fed through an inset transmission line and then loaded by two triangles, and shorting pins on both sides of the radiating patch to lengthen the path for current, as result it reduced the overall size. The dimensions of radiating patch antenna are 62 mm× 43 mm × 1.67 mm. By locating the proposed antenna On and Off body communication, it can maintain compact and stable far field radiation characteristics and negligible specific absorption rate (SAR). Furthermore, high efficiencies of about 53 % and 46% are obtained during off and on body, which is higher than recent similar works in the literature. The simulated results showed a good agreement with the measured results. Owing to the acceptable results, the proposed design can be a reliable candidate for WBAN applications at ISM band.
Domain specific concept ontologies and text summarization as hierarchical fuzzy logic ranking indicator on malay text corpus
Authors: Bin Rodzman Shaiful Bakhtiar , Kamal Ismail Normaly , Abd Rahman Nurazzah , Ahmad Aljunid Syed , Mohamed Nor Zulhilmi , Mohd Noor Ahmad Yunus
Published: March 2020

Ranking function is a predictive algorithm that is used to establish a simple ordering of documents according to its relevance. This step is critical because the results’ quality of a Domain Specific Information Retrieval (IR) such as Hadith Information Retrieval is fundamentally dependent of the ranking function. A Hierarchical Fuzzy Logic Controller of Mamdani-type Fuzzy Inference System has been built to define the ranking function, based on the Malay Information retrieval’s BM25 Model. The model examines three-inputs (Ontology BM25 Score, Fabrication Rate of Hadith and Shia Rate of Hadith) and four-output values of Final Ranking Score which consist of three triangular membership functions. The proposed system has outperformed the BM25 original score and the Vector Space Model (VM) on 16 queries, while the BM25 original score and Vector Space Model only yield better result in 9 and 2 queries respectively on the P@10, %no measures and MAP. P@10 represent the values of Precision at Rank 10 P@10), %no measures represent the percentage of queries with no relevant documents in the top ten retrieved and MAP represents Mean Average Precision of the queries. The results show the proposed system have capability to demote negative documents and move up the relevant documents in the ranking list and its capability to recall unseen document with the application of ontology in text retrieval. For the future works, the researcher would like to apply the usage of other Malay Semantic elements and another corpus for positive ranking indicator.
A predictive model for prediction of heart surgery procedure
Authors: Mohd Yusof Aufzalina , Md. Ghani Nor Azura , Mohd Ghani Khairul Asri , Mohd Ghani Khairul Izan
Published: March 2020

Coronary heart disease (CHD) is a disease in which plague in the form of waxy substance builds up inside the coronary arteries. Coronary artery bypass grafting (CABG) is used as treatment on CHD patients but the role of CABG has been challenged by percutaneous coronary intervention (PCI) when it was introduced in 1977.  Drug eluting stents (DES) was introduced with the development of PCI. The purpose of this study was to find the potential risk factors that associated with the procedures (CABG and DES) and to model procedure (CABG vs DES) on coronary heart disease male patients aged 45 years old and below. The study sample was among male patients aged 45 years old and below who has undergone CABG or DES procedure at either IJN or HUKM  from January 2007 until December 2010. Logistic regression was used to model treatment selection on coronary heart disease with 87.3% of the classification rate. Patient who i) smoke, ii) obese, or ii) had dyslipidemia was significantly associated with DES, and the other factors were prone to have CABG as their treatment.
Production of strawberry using internet of things: a review
Authors: Elijah Olakunle , A. bakhit Abdelmoneim , A. Rahman Tharek , Chua Tien Han , Ausordin Siti Fatimah , Razali Rifhan Narrissa
Published: March 2020

Strawberry is a widely consumed fruit and cultivated globally but predominantly in cooler temperate zones because of its wealth of nutrients, vitamins and minerals. However, there are several challenging factors faced in the growing of strawberry such as temperature, seasonal production and short shelf-life. To overcome some of these challenges, the application of greenhouse and internet of things (IoT) are being used. In this paper, a review of the application of IoT in the greenhouse production of strawberry is presented. This includes a survey of existing literature on production of strawberry, types, method of growing strawberry and the application of IoT. The benefits and challenges of IoT in greenhouse strawberry production are discussed. The review highlights the need for use of low power wide area communication technology in the application of IoT in greenhouse strawberry production especially in tropical regions like Malaysia.
Performance simulation of the integration of hybrid stand-alone photovoltaic system at Tuba Island
Authors: Irwan Sulaiman Shahril , Amira Ali Nur
Published: March 2020

Hybrid photovoltaic-diesel generator power system is important for rural electrification with the diesel generator supplying electricity when battery bank fails to meet the load demand. However, the operation of diesel generator could also be very costly due to high operation and maintenance cost when compared to photovoltaic-battery system. As a result, proper sizing must be conducted to determine the economic indicators of the hybrid photovoltaic-diesel generator system throughout its lifetime. This paper presents the design of such system for an island resort in Langkawi, Kedah, Malaysia. HOMER software was used to simulate the design parameters and economic performance of the system as compared to the existing diesel generator system. Apart from that, different capacities of PV array, battery bank and inverter were investigated in this study to determine the optimum configuration of these components such that the total cost of supplying the load demand at the resort could be minimized. The results showed that the hybrid photovoltaic-diesel generator system is more economically feasible than the existing diesel generator system used at the resort.
Fuzzy-logic-control of two-switch & three-switch-serial-input interleaved-forward-converters
Authors: Ramalingam Lakshmi , Karunanithi K. , Chandrasekar P.
Published: March 2020

This manuscript manages F-L-C of “two-switch& three-switch-interleaved-forward- -converters” with DC-engine-load”. Numerous modern applications require DC-power. This forward-converter convert's unregulated DC-capacity to controlled DC-control. It contains high recurrence transformer which is additionally called ‘isolation-transformer’. This gives disconnection among load& fundamental-circuit. The AC- control is amended utilizing half-wave-rectifier. The swell in the yield is separated utilizing pi- filter. FLC is intended for two-switch and three-switch forward-converter-systems. The simulation is completed by utilizing MATLAB-simulink. The controller execution is considered for different estimations of load-torque for both two-switch& three-switch forward-converter -frameworks.
CAPSOCA: hybrid technique for nosologic segmentation of primary brain tumors
Authors: Ibrahim Shafaf , Abd Khalid Noor Elaiza , Manaf Mazani
Published: March 2020

Detection of primary brain tumors is inspired by the necessity of high accuracy as it deals with human life. Various imaging modalities techniques have incarnated as a tool in diagnosis and treatment domain. Yet, experienced and competent medical practitioners for the proper interpretation are still required. Thus, the involvement of information technology is highly demanded in introducing reliable and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. Nosologic refers to the classification of diseases that can facilitate the diagnosis of neurological diseases. The purpose of segmentation is to highlight the tumor areas, whereas classification is used to identify the type of the primary brain tumors. For this purpose, an algorithm which hybridized the Grey Level Co- occurrence Matrices (GLCM), Intensity Based Analysis (IBA), Adaptive Network-based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) Clustering Algorithm (CAPSOCA) is proposed. The combination of several computer vision techniques is aim to deliver reproducible nosologic segmentation of primary brain tumors which are gliomas and meningiomas. The performance of the CAPSOCA is quantified by two measurements which are segmentation and classification accuracy. The segmentation accuracy is evaluated using comparison with ground truth approach. On the other hand, the classification accuracy is quantified using a truth table by comparing the classification outcomes with histopathology diagnosis. Upon the testing conducted, the CAPSOCA was proven to be an effective algorithm for nosologic segmentation of primary brain tumors. It appeared to return 88.09% of overall mean accuracy for gliomas segmentation, 86.92% of overall mean accuracy for meningiomas segmentation. In another note, 83.72% and 85.19% of classification accuracy for gliomas and meningiomas were observed.
Video application to accommodate students’ learning style for moral education in teacher education institutes
Authors: Bin Husin Mohd Razimi , Bin Ahmad Hishamuddin , Bin Hamzah Mahizer
Published: March 2020

The purpose of this study is to explore the favored video applications in video use, compatible techniques and technology to accommodate the learning styles of moral education students in Teacher Education Institutes. This study is also to explore the contents of lesson suit to technology preferred by students in learning Moral Education. This is a case study in where data were collected through interviews. Six semester four students were chosen through purposive sampling from two Teacher Education Institutes in Malaysia. The constructs and internal validity were verified by experts while the external validity was verified through support from existing studies and theories. Data of the study were analyzed by using the Nvivo software to identify the features of favored video, compatible techniques and contents of lesson suit to technology that enhance the quality of teaching and learning of Moral Education to students. The Physiological Stimulus of Dunn and Dunn Learning Styles Model was used as guidance in the interviews because this model was the most suitable to be applied to students with Physiological Stimulus. The results of the analysis showed that short videos with suitable musics and short duration are the favored video for moral education students in teacher education institutes that enabled students to memorize the content knowledge. This research could be the learning guidelines on the use of videos and consequences activities of the shown videos that accommodate the learning styles of moral education students in Teacher Education Institutes which could be used by instructors in their professional practice in the lecture room.
Sentiment classification of social media reviews using an ensemble classifier
Authors: Sangam Savita , Shinde Subhash
Published: March 2020

These days it has become a common practice for business organizations and individuals to make use of social media for sharing the opinions about the products or the services.  Consumers are also ready to share their views on certain products or commodities.  Thus huge amount of unstructured social media data gets generated day by day. Gradually heap of text data will be formed in many areas like automated business, education, health care, and show business and so on. Opinion mining also referred as sentiment analysis or sentiment classification, deals with mining of the review text and classifying the opinions or the sentiments of that text as positive or negative. In this paper we propose an ensemble classifier model consisting of Support Vector Machine and Artificial Neural Network. It combines the knowledge from two feature sets for sentiment classification. The proposed model shows the acceptable performance in terms of accuracy when compared with the baseline model.
Review on success factors of waqf information management system in Malaysia
Authors: Janom Norjansalika , Zairul Izham Mohd , Suraya Mansor Fairuz , Syed Aris Syaripah Ruzaini , Kamal Bashah Nor Shahniza , Habibah Arshad Noor
Published: March 2020

Waqf is one of the important economic instruments in Islam. Waqf is known as an endowment consist of donating a building, a sum of money or plot of land for charitable purposes. Various relevant aspects with  the field of waqf have been studied and debated by scholars in the area of socio-political studies, economic, accounting as well as waqf information management system development. Current research findings have shown few glaring issues in terms of the difficulty to distribute waqf benefits caused by incomplete file information, transparency of waqf documentation, lack of detailed information about waqf assets and the requirements to provide timely and sufficient information to the related stakeholders. Thus, this study explores conceptual model of integrated success factors of Waqf information management system from few literature analysis. The conceptual success model that consists of activities, relationships, relative advantage, compatability, triability, image, visibility, result demonstrability, voluntariness, complexity and trust have been used to demonstrate the Islamic and technology concepts of waqf information system.  Thorough review from several research works will help to understand the gaps in the information system management related to the state waqf agencies in Malaysia. The findings of the above issues prove on the need to identify the success factors of waqf information system management thus, helps to ensure the success development of the system.  The findings should be of great interest to both researchers and practitioners.
Hybrid conjugate gradient parameter for solving symmetric systems of nonlinear equations
Authors: K. Dauda M. , Mamat Mustafa , A. Mohamed Mohamad , Amir Hamzah Nor Shamsidah
Published: March 2020

Mathematical models from recent research are mostly nonlinear equations in nature. Numerical solutions to such systems are widely needed and applied in those areas of  mathematics. Although, in recent years, this field received serious attentions and new approach were discovered, but yet the efficiency of the previous versions suffers setback. This article gives a new hybrid conjugate gradient parameter, the method is derivative-free and analyzed with an effective inexact line search in a given conditions. Theoretical proofs show that the proposed method retains the sufficient descent and global convergence properties of the original CG methods. The proposed method is tested on a set of test functions, then compared to the two previous classical CG-parameter that resulted the given method, and its performance is given based on number of iterations and CPU time. The numerical results show that the new proposed method is efficient and effective amongst all the methods tested. The graphical representation of the result justify our findings. The computational result indicates that the new hybrid conjugate gradient parameter is suitable and capable for solving symmetric systems of nonlinear equations.
Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm
Authors: Khuan N. , A. Rahim S. R. , H. Hussain M. , Azmi A. , A. Azmi S.
Published: March 2020

This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA).  In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.
Principles of reforming an agile-compliant performance appraisal
Authors: Md. Rejab Mawarny , Omar Mazni , Ahmad Mazida , Hassan Syahida
Published: March 2020

This paper presents principles of reforming an Agile-compliant performance appraisal. In this study, several semi-structured interviews have been carried out and discovered eight principles for reforming an Agile-compliant performance appraisal for Agile teams. Performance appraisal for software engineers in an Agile software development environment is complex and different from the traditional software development.  Performance appraisal should be aligned to Agile values, principles, and practices, which advocate interactions, collaborations, teamwork, and knowledge transfer among Agile team members. Therefore, a transition to Agile Software Development requires the implementation of Agile-compliant performance appraisal. These principles embark the proper practices and guidance to support management and Agile teams in deriving and implementing an Agile-compliant performance appraisal. Therefore, the emerged principles can be a baseline in generating an Agile-compliant performance appraisal to assess Agile team members in a fair and consistent manner. This indirectly increases motivation amongst team members and tends to produce capable workforce to perform at a higher level.
Computational study of flow around a NACA 0012 by using Roe FVM scheme and davis-yee TVD scheme
Authors: Yusop Fatimah , Omar Zamri , Basuno Bambang , Mat Hassan Nik Normunira
Published: March 2020

Currently CFD had been considered as an important tool for solving engineering problems. The application of CFD had been used intensively in aircraft industries in design a new aircraft or in the effort of improvement on the exiting aircraft. In term of CFD computer code, the CFD code differs with any others may due to the difference in the numerical scheme have been used. Therefore, the present work presents the comparison result between two developed computer codes with ANSYS-FLUENT software to the case of transonic steady flow past through airfoil NACA 0012. The first computer code used a finite difference method with numerical scheme according to Davis-Yee TVD scheme. Meanwhile, the second computer code used a Roe’s cell centre finite volume scheme. The flow analysis is carried out at two Mach number, M (0.65 & 0.8). Each Mach number applied to two different angles of attacks (0° & 5°).  The flow domain discretized by use of C-topology with 193x63 grid points. The comparison in term of the pressure coefficient, along the airfoil surface are presented. From the result, indicated that developed computer code is able to capture the presence of shock wave in the flow field.
Brute force algorithm implementation for traveljoy travelling recommendation system
Authors: Samah K.A.F.A. , Sabri N. , Hamzah R. , Roslan R. , Mangshor N.A. , Asri A.A.M.
Published: March 2020

This paper presents the Brute Force algorithm implementation for TravelJoy Travelling Recommendation System.  Due to overwhelmed information in the internet, travelers faced difficulties in finding and comparing which places in Melaka that worth to visit. Melaka is a well-known place as one of the most popular tourist spots in Malaysia, famous with historical places. All the mentioned problems were time-consuming and required lots of efforts for manual comparison between places and planning the trip itinerary. An efficient application system is needed to assist travelers in planning their trip itinerary by providing details of interesting place in Melaka, budget estimating and recommendation of sequence places which to visit. The TravelJoy application applied Traveling Salesman Problem (TSP) concept using Brute Force algorithm in determining the least time duration for the selected places and adapting Expected Time Arrival (ETA). It was found through Brute Force algorithm adaptation; the recommendation system is reliable based on the functional and reliability testing with t-test result of 0.00067, indicates the system is accepted.
Transient stability enhancement of statcom integration in power grid
Authors: Ethmane I. A , Mahmoud A.K. , Maaroufi M. , Yahfdhou A.
Published: March 2020

To solve load growth of a hybrid existing electrical system, we at first build generation stations (wind, solar or thermical). And secondly in 2025 year, when the system is so meshed, some buses will be very far from production energy, the transits power will be lower than the transmission capacity, and the voltage drop out margin limit of stability. Therefore it is proposed to install Flexible AC Transmission System (FACTS) devices to enhance the transient power stability and quality in the power system. The power flow analysis of Newton Raphson method is performed on a seven (7) bus system with and without static synchronous compensator (STATCOM). The STATCOM is a shunt connected FACTS devices that are useful for reactive power compensation and mitigation of power quality problems in transmission and distribution systems. These investigations indicate the need of power flow analysis and determine best locations of STATCOM on the proposed system. The results of simulation have been programmed in MATLAB and PSS/E Simulator. In the end the expected disturbances and the power quality enhancement of the network in the horizon 2025 were attenuated by integration of STATCOM that is able to supply or absorb reactive power and to maintain the voltage at 1pu.
A heat waste recovery system via thermoelectric generator
Authors: Chen Chai-Phing , Koh Siaw-Paw , Tiong Sieh-Kiong , Tan Jian-Ding , Yu-Chooi Fong Albert
Published: March 2020

Be it in the power production or consumption end, improvement on the power efficiency has become one of the most pivoting research topics over the past few decades. In order to reduce the reliance on fossil fuels and negative impacts on the environment, many ways are found to show promising results to increase power efficiency. One of the most effective ways is to recover and reuse heat waste. In this research, a heat waste recovery system is proposed by using thermoelectric generators (TEGs). This proposed heat recovery system can be implemented at the exhaust or the chiller section of a power system to abstract the excessive and unwanted heat and reuse it before it dissipates into the environment or goes to waste. Experiments are setup and conducted with controlled heat levels to investigate the performance of the proposed system in converting heat waste into electricity under different temperatures. The results show that the generated power hikes as the heat set-points increase from 30°C to 240°C. The output power fluctuates and shows no significant increase as the temperature increases from 240°C onwards. The maximum power is generated at 290°C. It can thus be concluded that the proposed system successfully generates electricity under different level of heat waste temperature. In time to come, this research can further explore the possibility on the optimization of the generated power.
Outage probability analysis of DF PSR energy harvesting full-duplex relaying network with presence of the direct link using MRC technique
Authors: Phan Van-Duc , Tin Phu Tran , Tran Minh , Trang Tran Thanh
Published: March 2020

In the last time, the system performance of the energy harvesting relay network has been considered in many studies. In this paper, we propose and investigate the outage probability (OP) of the Decode-and-Forward (DF) Energy Harvesting (EH) Full-Duplex (FD) Relaying network in Power Splitting Protocol (PS) using MRC Technique with the presence of the direct link. In the first stage, the integral form of the OP is derived in two cases with and without the presence of the direct link. After that, we analyze the influence of main system parameters on the OP and comparison between two cases with and without the presence of the direct link. Finally, the results show that all simulation and analytical results match well with each other based on the Monte Carlo verification simulation.
Hybridisation of battery, supercapacitor and hybrid capacitor for load applications with high crest factors: a case study of electric vehicles
Authors: Jiya Immanuel Ninma , Gurusinghe Nicoloy , Gouws Rupert
Published: March 2020

This paper proposes a novel topology of hybridizing battery, supercapacitor and hybrid capacitor for optimum utilization of energy in electric vehicles. Hybridization of energy storage has been the theme of much research in the field of power electronics as it is an effective economic solution towards improving the utilization of energy. Batteries have fallen short in comparison to both supercapacitors and hybrid capacitors because of their low power density and limited charge-discharge cycle. Most of the previous research in this field focuses on hybridizing either supercapacitor or hybrid capacitor with the battery but not both. This paper deals with the combination of both supercapacitor and hybrid capacitor with the battery thus addressing the problem of the lack of autonomy between two recharge points in supercapacitors, three hybridization techniques are considered and the balance point of the supercapacitor and hybrid capacitor banks is presented. The prospects of using a multiple-input DC-DC converter is also analyzed. An experimental electric vehicle profile was used to verify the proposed topology and the results are presented. The application of the novel hybridization of the three energy storage devices can be extended to other applications having a load profile with high crest factors.
Flower and leaf recognition for plant identification using convolutional neural network
Authors: FatihahSahidan Nurul , Khairi Juha Ahmad , Mohammad Norasiah , Ibrahim Zaidah
Published: March 2020

This paper presents flower and leaf recognition for plant identification using Convolutional Neural Network (CNN). In this study, the performance of CNN for plant identification using images of the leaves, flowers and a combination of both are investigated.  Two publicly available datasets, namely Folio leaf dataset and Flower Recognition dataset, have been used for the training and testing purposes.  CNN has been proven to produce excellent results for object recognition but its performance can still be influenced by the type of images and the number of layers of the CNN architecture.   Experimental results indicate that the utilization of leaf images only arrive to the highest accuracy for plant identification compared to the images of flowers only or the combination of both, that are 98%, 85% and 74%, respectively.
Detecting candidates of depression, anxiety and stress through malay-written tweets: a preliminary study
Authors: Zahier Nasrudin Muhammad , Maskat Ruhaila , Musa Ramli
Published: March 2020

Depression, anxiety and stress are not trivial conditions applicable for only the weak-hearted. They can be inflicted by anyone of all age groups, gender, race and social status. While some are courageous to acknowledge their condition, others shy away in shame or denial. In this paper, we proposed a “proactive” approach to detecting candidates of depression, anxiety and stress in an unobtrusive manner by tapping into what Malaysians tweet in Malay language. From this preliminary study, we constructed 165 Malay layman terms which describe depression, anxiety or stress as identified in M-DASS-42 scale. Since Twitter is an informal platform, construction of Malay layman terms is an essential step to the detection of candidates. Our study on 1,789 Malay tweets discovered 6 Twitter users as potential candidates, having high frequency of tweets with any of the layman terms. We can conclude that using tweets can be useful in unobtrusively detecting candidates of depression, anxiety or stress. This paper also identifies open research areas.
An optimization of facial feature point detection program by using several types of convolutional neural network
Authors: Shindo Shyota , Goto Takaaki , Kirishima Tadaaki , Tsuchida Kensei
Published: March 2020

Detection of facial feature points is an important technique used for biometric authentication and facial expression estimation. A facial feature point is a local point indicating both ends of the eye, holes of the nose, and end points of the mouth in the face image. Many researches on face feature point detection have been done so far, but the accuracy of facial organ point detection is improving by the approach using
Convolutional Neural Network (CNN). However, CNN not only takes time to learn but also the neural network becomes a complicated model, so it is necessary to improve learning time and detection accuracy. In this research, the improvement of the detection accuracy of the learning speed is improved by increasing the convolution layer.
Security assessment of four open source software systems
Authors: Idris Khan Faraz , Javed Yasir , Alenezi Mamdouh
Published: March 2020

Incorporating Open Source Software (OSS) tools in software development is increasing day by day due to their accessibility on the internet. With the advantages of OSS comes disadvantages in terms of security vulnerabilities. Therefore, in this paper, we analyzed four famous open source software tools (i.e. Moodle, Joomla, Flask and VLC media player) which are used by software developers nowadays. For the analysis of each system, security vulnerabilities and weakness were identified, threat models were modeled,and code inspection was performed. The findings are discussed in more details.
Optimal sizing and location of multiple distributed generation for power loss minimization using genetic algorithm
Authors: Musa Abdulhamid , Tengku Hashim Tengku Juhana
Published: March 2020

This paper presents a Genetic Algorithm (GA) for optimal location and sizing of multiple distributed generation (DG) for loss minimization. The study is implemented on a 33-bus radial distribution system to optimally allocate different numbers of DGs through the minimization of total active power losses and voltage deviation at power constraints of 0 – 2 MW and 0 – 3 MW respectively. The study proposed a PQ model of DG and Direct Load Flow (DLF) technique that uses Bus Incidence to Branch current (BIBC) and Branch Current to Bus Voltage (BCBV) matrices. The result obtained a minimum base case voltage level of 0.9898 p.u at bus 18 with variations of voltage improvements at other buses after single and multiple DG allocations in the system. Besides, the total power loss before DG allocation is observed as 0.2243 MW, and total power loss after DG allocation was determined based on the power constraints. Various optimal locations were seen depending on the power limits of different DG sizes. The results have shown that the impact of optimal allocation and sizing of three DG is more advantageous concerning voltage improvement, reduction of the voltage deviation and also total power loss in the distribution system. The results obtained in the 0 – 2 MW power limit is consistent to the 0 – 3 MW power limits regarding the influence of allocating DG to the network and minimization of total power losses.