bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Answer Keywords using Char-RNN
Authors: I Pratheek , Paulose Joy
Published: April 2019

Generating sequences of characters using a Recurrent Neural Network (RNN) is a tried and tested method for creating unique and context aware words, and is fundamental in Natural Language Processing tasks. These type of Neural Networks can also be used a question-answering system. The main drawback of most of these systems is that they work from a factoid database of information, and when queried about new and current information, the responses are usually bleak. In this paper, the author proposes a novel approach to finding answer keywords from a given body of news text or headline, based on the query that was asked, where the query would be of the nature of current affairs or recent news, with the use of Gated Recurrent Unit (GRU) variant of RNNs. Thus, this ensures that the answers provided are relevant to the content of query that was put forth.
Optimal remote access trojans detection based on network behavior
Authors: Yin Khin Swe , Khine May Aye
Published: April 2019

RAT is one of the most infected malware in the hyper-connected world. Data is being leaked or disclosed every day because new remote access Trojans are emerging and they are used to steal confidential data from target hosts. Network behavior-based detection has been used to provide an effective detection model for Remote Access Trojans. However, there is still short comings: to detect as early as possible, some False Negative Rate and accuracy that may vary depending on ratio of normal and malicious RAT sessions. As typical network contains large amount of normal traffic and small amount of malicious traffic, the detection model was built based on the different ratio of normal and malicious sessions in previous works. At that time false negative rate is less than 2%, and it varies depending on different ratio of normal and malicious instances. An unbalanced dataset will bias the prediction model towards the more common class. In this paper, each RAT is run many times in order to capture variant behavior of a Remote Access Trojan in the early stage, and balanced instances of normal applications and Remote Access Trojans are used for detection model. Our approach achieves 99 % accuracy and 0.3% False Negative Rate by Random Forest Algorithm.
A design of license plate recognition system using convolutional neural network
Authors: Marzuki P. , Syafeeza A. R. , Wong Y. C. , Hamid N. A. , Alisa A. Nur , Ibrahim M. M.
Published: April 2019

This paper proposes an improved Convolutional Neural Network (CNN) algorithm approach for license plate recognition system. The main contribution of this work is on the methodology to determine the best model for four-layered CNN architecture that has been used as the recognition method. This is achieved by validating the best parameters of the enhanced Stochastic Diagonal Levenberg Marquardt (SDLM) learning algorithm and network size of CNN. Several preprocessing algorithms such as Sobel operator edge detection, morphological operation and connected component analysis have been used to localize the license plate, isolate and segment the characters respectively before feeding the input to CNN. It is found that the proposed model is superior when subjected to multi-scaling and variations of input patterns. As a result, the license plate preprocessing stage achieved 74.7% accuracy and CNN recognition stage achieved 94.6% accuracy.
Rectifier for RF energy harvesting using stub matching
Authors: Adam I. , M. Yasin M.N. , A. Aziz M.E. , M.I. Sulaiman
Published: April 2019

One of challenge in rectenna design is the impedance matching of the antenna to the rectifier load. Rectifier exhibits complex impedance while antennas are normally designed to match either 50 Ω or 75 Ω loads. For the optimum power transfer between antenna and the rectifier circuit, both impedances should be matched. This paper presents the design and development of the 7-stages Dickson multiplier in energy harvesting. The objective of this paper is to analyze the performance of the designed multiplier together with matching circuit. An improvement of 60% output voltage is achieved by feeding -30dBm of low input power at the multiplier circuit.
Comparing the linear and logarithm normalized extreme learning machine in flow curve modeling of magnetorheological fluid
Authors: Bahiuddin Irfan , Fatah Abdul Y Abd , Mazlan Saiful A , Shapiai Mohd I , Imaduddin Fitrian , Ubaidillah Ubaidillah , Utami Dewi , Muhtazaruddin Mohd N
Published: April 2019

The extreme learning machine (ELM) plays an important role to predict magnetorheological (MR) fluid behavior and to reduce the computational fluid dynamics (CFD) calculation cost while simulating the MR fluid flow of an MR actuator. This paper presents a logarithm normalized method to enhance the prediction of ELM of the flow curve representing the MR fluid rheological properties. MRC C1L was used to test the performance of the proposed method, and different activation functions of ELMs were chosen to be the neural networks setting. The Normalized Root Mean Square Error (NRMSE) was selected as the indicator of the ELM prediction accuracy. NRMSE of the proposed method is found to improve the model accuracy up to 77.10 % for the prediction or testing case while comparing with the linear normalized ELM
Evaluating gender-based mobile shopping application using eye-tracking technology
Authors: Baharum Aslina , Rahim Emelia Abdul , Hanapi Rozita , Mat Noor Noorsidi Aizuddin , Mohd Yusop Nurhafizah Moziyana
Published: April 2019

The mobile applications (apps) development has been gaining popularity for the past few years. Some mobile apps have been failing in its popularity because of the unattractive user interface and bad interaction with the apps. This was proven by previous researchers who have stated that the interaction between a user of mobile application and a graphical user interface could lead to some misunderstandings, errors and frustration from an inability to achieve a goal and could lead to failure of the mobile application. Most of the mobile application developers have been facing proper graphical user interface design recently. There is a noticeable lack of studies and research in the area of mobile application design compared to web application user interface (UI) design. Therefore, this research was done to evaluate the different gender on the mobile shopping application using eye-tracking technology. This research had proposed guidelines based on gender for mobile shopping application. These proposed guidelines can be preferred in the designing process of a mobile shopping application as it could provide a better user interaction and would prevent failure in its popularity by providing fast and user friendly interface.
The evaluation of AdBlock technique implementation for enterprise network environment
Authors: Samsuddin Mohd Iskandar Bin , Darus Mohamad Yusof , Elias Shamsul J , Taib Abidah Hj Mat , Awang Norkhushaini , Din Roshidi
Published: April 2019

This paper presents the evaluation of AdBlock technique implementation for enterprise network environment. This study has presented the impact of web browsing activities where it is the most active traffic where is consumed the highest inbound bandwidth usage in enterprise network environment. We can conclude that DNS AdBlock is the best solution for enterprise network environment in term of blocking advertisement compare to extension adblock. Adblock technique also reduce network data request by comparing front-end solution (browser extension AdBlock) at client web browser and networks level adblock. The parameters such as HTTP request, TCP connection and network bandwidth are being examined to measure the effectiveness of blocking online advertisement. Both techniques perform the reduction of traffics and bandwidth utilization. The result shows that DNS AdBlock is the most effective in blocking online advertisement using the examined parameters. DNS AdBlock can sustain the usage of web browsing activity for enterprise network and also generate substantial saving across several fonts. This study has identified current web browsing trends traffic in enterprise network where it consumed 50 percent in average. This number increased when industries are moving to cloud web-based consumption. However, industries such as educational sector, web browsing traffic is one of connectivity that enterprises network should be investing to support openness and heavy traffic from educational users.
Fault analysis for renewable energy power system in micro-grid distributed generation
Authors: Jeman Ameerul A. J. , Hannoon Naeem M. S. , Hidayat Nabil , Adam Mohamed.M.H. , Musirin Ismail , V Vijayakumar.
Published: April 2019

In distribution system, wind power plants are becoming popular renewable energy sources. It employs Doubly Fed Induction Generator (DFIG) to generate power based on wind conversion. Short and long transmission lines, presence of faults and presence of Static Synchronous Compensator (STATCOM) are highlighted issues in this paper. Basically, this research develops investigations on some electrical variables such as voltage and current to control them. Distribution Static Synchronous Compensator (DSTATCOM) is proposed in this paper. Wind farm acts as a source while DSTATCOM is connected to the distribution system with a DFIG based wind farm. The controller proposed is DSTATCOM is modeled and simulated in MATLAB/SIMULINK and the results are given. A microgrid based small signal analysis is performed in the laboratory using MATLAB and different comparisons are made and simulation case studies are presented and validated.
A Study of specific absorption rate in human head due to electromagnetic exposure to 4G signals
Authors: Mutalik Siti Rokiah Abdul , Hafizuddin Mat Mohd , Jusoh Muzammil , Husna A. W. N.
Published: April 2019

This paper presents a numerical analysis of the specific absorption rate in SAM phantom exposed to electromagnetic field. A two set dipole antenna operating with 1800MHz and 2600MHz were placed parallel to the z-axis and rotated in clockwise from 0o (vertical) to 180o in steps of 30o to investigate the effect of frequency and polarization. The maximum average of 1gram and 10gram of tissue have been presented to show the effect of SAR in SAM phantom model. A comparison of the mass average SAR in head shows the 1g of SAR at 2600MHz is double to 1800MHz frequency. While for 10g of SAR, slightly different for both 1800MHz and 2600MHz.
Modified framework for sarcasm detection and classification in sentiment analysis
Authors: Md Suhaimin Mohd Suhairi , Ahmad Hijazi Mohd Hanafi , Alfred Rayner , Coenen Frans
Published: April 2019

Sentiment analysis is directed at identifying people's opinions, beliefs, views and emotions in the context of the entities and attributes that appear in text. The presence of sarcasm, however, can significantly hamper sentiment analysis. In this paper a sentiment classification framework is presented that incorporates sarcasm detection. The framework was evaluated using a non-linear Support Vector Machine and Malay social media data. The results obtained demonstrated that the proposed sarcasm detection process could successfully detect the presence of sarcasm in that better sentiment classification performance was recorded. A best average F-measure score of 0.905 was recorded using the framework; a significantly better result than when sentiment classification was performed without sarcasm detection.
System protection for lithium-ion batteries management system: a review
Authors: Rimon L. , Muhammad Khairul Safuan , Sulaiman S.I. , Omar AM
Published: April 2019

Robustness of a battery management system (BMS) is a crucial issue especially in critical application such as medical or military. Failure of BMS will lead to more serious safety issues such as overheating, overcharging, over discharging, cell unbalance or even fire and explosion. BMS consists of plenty sensitive electronic components and connected directly to battery cell terminal. Consequently, BMS exposed to high voltage potential across the BMS terminal if a faulty cell occurs in a pack of Li-ion battery. Thus, many protection techniques have been proposed since last three decades to protect the BMS from fault such as open cell voltage fault, faulty cell, internal short circuit etc. This paper presents a review of a BMS focuses on the protection technique proposed by previous researcher. The comparison has been carried out based on circuit topology and fault detection technique
Review of traffic control techniques for emergency vehicles
Authors: Wan Hussin Wan Mohd Hafiz bin , Rosli Marshima Mohd , Nordin Rosmawati
Published: April 2019

Traffic control system play an important role to manage traffic congestion on the road especially during peak hours and peak seasons. One of the main challenges is to control the traffic when there are emergency cases at traffic light intersection especially peak hours. This could affect the route for emergency vehicles such as ambulance, fire brigade and police car to reach their destination. Due to the increase of traffic congestion during peak hours and peak seasons in Malaysia, there is a need for further evaluation of traffic control techniques. This paper reviewed and consolidated information on the different types of the existing traffic control system for road traffic management such as Radio Frequency Identification (RFID), wireless sensor network and image processing. This paper analysed and compared on the design, benefits and limitations of each technique. Through the reviews, this paper recommends the best traffic control technique for emergency vehicle that offers low price, low maintenance and can be used in various areas of applications.
An approach in creating positive emotion for children’s e-learning based on user interface design
Authors: Gasah Magrizef , Mat Zain Nurul Hidayah , Baharum Aslina
Published: April 2019

This paper presents an approach in creating positive emotion for children’s e-learning using user interface design. The problems that this research aims to solve are the lack of children interest in school and early childhood school dropout. This research consists of three phases where each phase has its own research method. In this paper, the proposed research method aims to identify the user interface design that could trigger positive emotion and achieved using a qualitative method and quantitative method. The result shows a guideline for creating e-learning application that could help designer and developer to develop the application. Hopefully, the guideline of the positive emotion and the e-learning application could help the children more interested in school and learning in the future.
Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia
Authors: Ya’acob Norsuzila , Tajudin Noraisyah , Zamiri Mashira Meri @ Mohamad , Yusof Azita Laily , Sarnin Suzi Seroja , Idris Azlina
Published: April 2019

DVB-T2 (Digital Video Broadcasting – Second Generation Terrestrial) is one of the latest technical standards being developed by the DVB Project for DTT (Digital Terrestrial Television). It is also known as digital broadcasting trough terrestrial system since 2006 and is an extension of the DVB-T system as a second generation program to improve efficiency of the total system.  It is important to perform a research on the performance of DVB-T2 because Malaysia has launched the free-to-air digital TV project since 2016 hence there is a need to know how well the signal is being received by viewers. This research focuses on a DVB-T2 transmission process which involve the transmission from Menara Kuala Lumpur transmitter to receivers located at 100 different locations. The performance of DVB-T2 can be determined by measuring the field strength, MER (Module Error Ratio) and BERaLDPC (Bit Error Rate after Low Density Parity Check decoder), and then a comparison between DVB-T and DVB-T2 systems can be made.  Equipments involved in the measurement are indoor antenna, distribution amplifier, waveform monitor, field strength meter, DVB-T2 decoder and TV set as the receiver. Results are recorded in Microsoft Excel and analyzed using MATLAB software. The result of the measurement shows92% of the test points had higher reading than the baseline value which means better reception of digital TV signal is delivered to the location.Comparison between DVB-T and DVB-T2 performance shows that field strength of the DVB-T2 system is slightly higher by 1.5 % – 3.8 % from DVB-T
Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia
Verification and validation of IM-DeCRuD approach using DESMET for its applicability
Authors: Jasmis Jamaluddin , Elias Shamsul Jamel , Aziz Azlan abdul , Zakaria Mohd Zaki , Ahmad R Badlishah , Din Roshidi , Bakar Rosmadi
Published: April 2019

Requirements crosscutting in software development and maintenance have gradually become an important issue in software engineering with a growing need of traceability support to better understand the requirements crosscutting processes to comply with industrial standards. However, many recent works focusing on identification, modularization, composition and conflict dissolution of requirements crosscutting are mostly saturated at requirements level. Hence, these works fail to specify crosscutting properties for functional and non-functional requirements at other phases leading to insufficient support for software engineers. Recently, a new approach called the Identification, Modularization, Design Composition Rules and Conflict Dissolutions (IM-DeCRuD) was proposed to provide a special traceability to facilitate better understanding and reasoning towards requirements crosscutting implementation, along with a tool as a proof-of-concept. In this paper, the tool was evaluated and the results were verified by some experts in the industries. The feedbacks on applicability aspect were then gathered and analyzed using DESMET qualitative method. The outcome showed that the IM-DeCRuD was applicable to cope with the tedious engineering processes in handling crosscutting properties at requirements, analysis and design phases for system development and evolution.
Influence of pole number on the characteristics of permanent magnet synchronous motor (PMSM)
Authors: Raj S. , Aziz R. , Ahmad M.Z.
Published: April 2019

This paper present the influence of pole number on the characteristics of permanent magnet synchronous motor (PMSM). This study is devoted to construct three different motors with varying pole numbers and investigating its effect on the characteristics of permanent magnet synchronous motor (PMSM). It is a study on an influence of pole numbers on electromagnetic and thermal characteristics of the PMSMs all while maintaining the same motor dimensions, parameters and slot number. The study is conducted to analyse the best slot-pole combination for a given dimension to determine if pole numbers have a role in the motor performance. The analysis for these permanent magnet motors is done via finite element analysis (FEA) in which JMAG Designer software is used. The software is used to analyse the motor performance in terms of cogging torque, speed, power, iron loss, copper loss as well as the efficiency of the motor itself. All three motors were simulated in no load and load condition.
Investigation of the static current gain for InP/InGaAs single heterojunction bipolar transistor
Authors: Ouchrif Jihane , Baghdad Abdennaceur , Sshel Aicha , Badri Abdelmajid , Ballouk Abdelhakim
Published: April 2019

Heterojunction Bipolar Transistors are being used increasingly in communication systems due to their electrical performances. They are considered as excellent electronic devices. This paper presents an investigation of the static current gain β based on two technological parameters related to the device geometry for InP/InGaAs Single Heterojunction Bipolar Transistor (SHBT). These parameters are the base width  and the emitter length . We used Silvaco’s TCAD tools to design the device structure, and to extract the static current gain β from I-V output characteristics figures. According to this investigation, we determined the optimal values of the examined parameters which allow obtaining the highest static current gain β.
A new class of BFGS updating formula based on the new quasi-newton equation
Authors: Abbas Hassan Basim , K. Khalo Hussein
Published: April 2019

Quasi-Newton methods” are amongst the mainly useful and competent iterative process for solving unrestrained minimization functions. In this paper we derive a new quasi-Newton equation with on the Hessian estimate updates and alterations intended at developing their performance. The “Numerical results” illustrate that the proposed technique useful for the known test functions.
Indonesian online travel agent sentiment analysis using machine learning methods
Authors: Poernomo Abimanyu Dharma , Suharjito Suharjito
Published: April 2019

Many companies use social media to support their business activities. Three leading online travel agent such as Traveloka, Tiket.com, and Agoda use Facebook for supporting their business as customer service tool. This study is to measure customer satisfaction of Traveloka, Tiket.com, and Agoda by analyzing Facebook posts and comments data from their fan pages. That data will be analyzed with three machine learning algorithms such as K-Nearest Neighbors (KNN), Naïve Bayes, and Support Vector Machine (SVM) to determine the sentiment.  From the classification results, data will be selected with the highest f-score to be used to calculate the Net Sentiment Score used to measure customer satisfaction. The result shows that KNN result better than Naive Bayes and SVM based on f-score. Based on Net Sentiment Score shows companies that get the highest satisfaction value of Traveloka followed by Tiket.com and Agoda
System performance analysis of hybrid time-power switching protocol of EH bidirectional relaying network in amplify-and-forward mode
Authors: Tran Tin Phu , Tran Minh , Nguyen Tan N. , Nguyen Thanh-Long
Published: April 2019

In this paper, we investigate system performance in term of throughput and ergodic capacity of the hybrid time-power switching protocol of energy harvesting bidirectional relaying network. In the first stage, the analytical expression of the system throughput and ergodic capacity of the model system is proposed and derived. In this analysis, both delay-limited and delay-tolerant transmission modes are presented and considered. After that, the effect of various system parameters on the proposed system is investigated and demonstrated by Monte-Carlo simulation. Finally, the results show that the analytical mathematical and simulated results match for all possible parameter values for both schemes.
A comprehensive survey on cross-language information retrieval system
Authors: Jena Gouranga Charan , Rautaray Siddharth Swarup
Published: April 2019

Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to a user query where the query is a set of keywords. Information Retrieval can be classified into different classes such as Monolingual information retrieval, Bi-Lingual Information Retrieval, Multilingual information retrieval and Cross language information retrieval. This paper focuses on the various IR variants and techniques used in CLIR system. Further, based on available literature, a number of challenges and issues in CLIR have been identified and discussed. It gives an overview of the advantages, limitations, tools available in CLIR research. It also describes new application areas of CLIR such as medical, multimedia, question answering system etc. The need for exploring and building more specialized information system that enable speakers of an Odia language to discover valuable information beyond linguistic and cultural barriers. This study is aimed at building an experimental CLIR system between one of the under-resourced language (i.e. Odia) and one of the most commonly used online language (i.e. English) in future.
Smart halal recognizer for muslim consumers
Authors: Abdul Razak Siti Fatimah , Lee Chin Poo , Ming Lim Kian , Xin Tee Pei
Published: April 2019

Halal is the term used for permissible food according to Islamic dietary law. Indicators such as Halal logo have been used to facilitate Muslims in identifying Halal food. In Malaysia, the Department of Islamic Development (JAKIM) has introduced a standard Halal logo for locally manufactured products and currently recognizes 67 Islamic bodies in 41 countries around the world as certification bodies for products imported into Malaysia. Therefore, a more practical way is required to assist Muslims in recognizing various forms of Halal logos on food packaging. A neural network (NN) approach is proposed to recognize authentic and recognized Halal logo on imported products. A dataset of available and recognized Halal logo images worldwide will be created for this purpose. The dataset will be used to train and test the performance of the learning algorithm to recognize logo of recognized foreign bodies by JAKIM. The approach is expected to complement current facilities for verification using Short Messaging Services (SMS) and web portal. The approach is assumed to be more efficient and accurate for Halal logo verification which eventually could win the trust of Halal product consumers and support the Halal industry in Malaysia.
Cervical cancer detection method using an improved cellular neural network (CNN) algorithm
Authors: Azamimi Abdullah Azian , Dickson Giong Aafion Fonetta , Hanin Zahri Nik Adilah
Published: April 2019

Cervical cancer is the second most common in Malaysia and the fourth frequent cancer among women in worldwide.  Pap smear test is often ignored although it is actually useful, beneficial and essential as screening tool for cervical cancer. However, Pap smear images have low sensitivity as well as specificity. Therefore, it is difficult to determine whether the abnormal cells are cancerous or not. Recently, computer-based algorithms are widely used in cervical cancer screening. In this study, an improved cellular neural network (CNN) algorithm is proposed as the solution to detect the cancerous cells in real-time by undergoing the image processing of Pap smear images. A few templates are combined and modified to form an ideal CNN algorithm to detect the cancerous cells in total of 115 Pap smear images. A MATLAB based CNN is developed for an automated detection of cervix cancerous cells where the templates segmented the nucleus of the cells. From the simulation results, our proposed CNN algorithm can detect the cervix cancer cells automatically with more than 88% accuracy.
Comparative study of symmetrical OTA performance in 180 nm, 130 nm and 90 nm CMOS technology
Authors: Bin Wan Jusoh Wan Mohammad Ehsan Aiman , Ruslan Siti Hawa , Ahmad Nabihah , Mat Jubadi Warsuzarina , Sanudin Rahmat
Published: April 2019

In this paper, the comparative study of symmetrical Operational Transconductance Amplifier (OTA) performance between 180 nm, 130 nm and 90 nm CMOS technology have been done thoroughly to find the relationship between voltage supply and bias current with performance parameters (gain, power consumption and Common-Mode Rejection Ratio (CMRR)). The OTA which adopts symmetrical topology is designed carefully and simulated using Synopsys HSpice software and the results are carefully analyzed and compared. The symmetrical OTA designed in 90 nm CMOS technology is found to be the best because the power consumed is only 9.83 µW from ±0.9 V voltage supply and the OTA achieved 55.9 dB of the DC gain. The CMRR of the symmetrical 90 nm OTA is 140 dB which is sufficient to reject the common-mode signals in electrocardiogram (ECG) input signal. The symmetrical 90 nm OTA is suitable to be implemented as bioamplifier in ECG signal detection system as it consumed low power and has a high CMRR characteristic.
Compact modeling of strained GAA SiNW
Authors: A Hamid Fatimah K. , Alias N. Ezaila , Ismail R. , Razali M. Anas
Published: April 2019

Strain-based on advanced MOSFET is a promising candidate for the future of CMOS technology. A numerical model is not favorable compared to a compact model because it cannot be integrated into most simulator software. Thus, a compact model is proposed to overcome the shortcomings in the analytical model. In this paper, a charge-based compact model is presented for long-channel strained Gate-All-Around Silicon Nanowire (GAA SiNW) from an undoped channel to a doped body. The model derivation is based on an inversion charge which has been solved explicitly using the smoothing function. The drain current model is formulated from Pao Sah’s dual integral which is formed in terms of inversion charge at the drain and source terminals. The proposed model has been extensively verified with the numerical simulator data. The strained effect on the electrical parameters are studied based on inversion charge, threshold voltage and current-voltage (I-V) characteristics. Results show that the current, the inversion charge and the threshold voltage can be greatly improved by the strain. The threshold voltage was reduced approximately 40% from the conventional GAA SiNW. Moreover, the inversion charge was improved by 30 % and the on-state current has doubled compared to unstrained device.
Impact of rain weather over free space optic communication transmission
Authors: Rahman A.K , Julai N , Jusoh M. , Rashidi C.B.M , Aljunid S.A , M.S Anuar , Talib M.F , Zamhari Nurdiani , Sahari S.K , Tamrin K.F. , Jong Rudiyanto P. , Zaidel D.N.A , Mohtadzar N.A.A , Sharip M.R.M , Samat Y.S
Published: April 2019

This paper focuses the rain effect over FSO link medium in Malaysia environment. In this work, a rain data samples that collected from Malaysian Meteorological Department (MMD) to determine the scattering coefficient, atmospheric attenuation and total attenuation. From the analysis, the precipitation rate give different impact over FSO link which can cause the attenuation and bit error rate increase. The results also show the comparison parameter for optimal geometrical loss such as beam divergence, aperture size and receiver sensitivity.
Comparing bags of features, conventional convolutional neural network and AlexNet for fruit recognition
Authors: Abdul Hamid Nik Noor Akmal , Razali Rabiatul Adawiya , Ibrahim Zaidah
Published: April 2019

This paper presents a comparative study between Bag of Features (BoF), Conventional Convolutional Neural Network (CNN) and Alexnet for fruit recognition.  Automatic fruit recognition can minimize human intervention in their fruit harvesting operations, operation time and harvesting cost.  On the other hand, this task is very challenging because of the similarities in shapes, colours and textures among various types of fruits. Thus, a robust technique that can produce good result is necessary. Due to the outstanding performance of deep learning like CNN and its pre-trained models like AlexNet in image recognition, this paper investigates the accuracy of conventional CNN, and Alexnet in recognizing thirty different types of fruits from a publicly available dataset.  Besides that, the recognition performance of BoF is also examined since it is one of the machine learning techniques that achieves good result in object recognition.   The experimental results indicate that all of these three techniques produce excellent recognition accuracy. Furthermore, conventional CNN achieves the fastest recognition result compared to BoF, and Alexnet.
Pseudo-elliptic narrow bandpass filter using shorted coupled-line of higher order design
Authors: Hushim Mohd Nasiruddin , Wahab Norfishah Ab , Abdul Khalid Muhammad Farid , Mat Zin Tn. Syarifah Atifah Tn.
Published: April 2019

This paper presents an implementation of quarter wavelength single-shorted coupled-lines for narrow bandpass filter application. It is shown as a new way of creating a single resonance bandpass filter by inter-connected of two
 single-shorted quarter wavelength coupled-line sections. By adding more single-shorted coupled-line into the configuration, the form of halfwavelength resonator can increase the degree of order of the filter. For the design of 4th order resonator, the coupledlines are arranged inter-connected to each other forming five-fingers lines layout. Due to the interconnection of the coupledlines, transmission zeros appear at the two stopbands which improves the selectivity of the filter response. Investigation on the parametric of the 4th order resonator is conducted to observe the controlling parameters and it’s realiability responses of the resonator. For compactness, five-fingers meandered lines is proposed. It is found that the size of the meandered lines resonator was successfully reduced by 33% compared to the five-fingers straight lines resonator of the same order. For validation of concept, the 4th order meandered lines resonator was designed at 1 GHz and fabricated on RO3210 microstrip substrate with characteristics given as h = 1.27 mm, Ɛr = 10.2 and tan δ = 3x10-3. The measurement results show good agreement with the simulation results.
Optimal sizing and location of distributed generation for loss minimization using firefly algorithm
Authors: Kamarudin Muhamad Najib , Tengku Hashim Tengku Juhana , Musa AbdulHamid
Published: April 2019

Distributed generation (DG) plays an important role in improving power quality as well as system realibility. As the incorporation of DG in the power distribution network creates several problems to the network operators, locating a suitable capacity and placement for DG will essentially help to improve the quality of power delivery to the end users. This paper presents the simulation of an application of firefly algorithm (FA) for optimally locating the most suitable placement and capacity of distributed generation (DG) in IEEE 33-bus radial distribution network. This strategy aims at minimizing losses together with improving the voltage profile in distribution network. The losses in real power and voltages at each bus are obtained using load flow analysis which was performed on an IEEE 33-bus radial distribution network using forward sweep method.  The proposed method comprises of simulation of the test system with DG as well as in the absence of DG in the system. A comparison between the Firefly Algorithm (FA) with Genetic Algorithm (GA) is also demonstrated in this paper. The results obtained have proven that the Firefly Algorithm has a better capability at improving both the voltage profile and the power losses in the system.
Reservoir water level forecasting using normalization and multiple regression
Authors: M-Dawam Siti Rafidah , Ku-Mahamud Ku Ruhana
Published: April 2019

Many non-parametric techniques such as Neural Network (NN) are used to forecast current reservoir water level (RWLt). However, modelling using these techniques can be established without knowledge of the mathematical relationship between the inputs and the corresponding outputs. Another important issue to be considered which is related to forecasting is the preprocessing stage where most non-parametric techniques normalize data into discretized data. Data normalization can influence the the results of forecasting. This paper presents reservoir water level (RWL) forecasting using normalization and multiple regression. In this study, continuous data of rainfall (RF) and changes of reservoir water level (WC) are normalized using two different normalization methods, Min-Max and Z-Score techniques. Its comparative studies and forecasting process are carried out using multiple regression. Three input scenarios for multiple regression were designed which comprise of temporal patterns of WC and RF, in which the sliding window technique has been applied. The experimental results showed that the best input scenario for forecasting the RWLt employs both the RF and the WC, in which the best predictors are three day’s delay of WC and two days’ delay of RF. The findings also suggested that the performance of the RWL forecasting model using multiple regression was dependent on the normalization methods.
Collision-aware cooperative MAC protocol design for mobile ad-hoc networks
Authors: Neeraja Y. , Sumalatha V.
Published: April 2019

Mobile ad hoc networks are designed to maintain communication among the independent nodes without a server or base station. High efficient MAC protocol takes a major role to maintain collision free, bandwidth efficient communication among the networked nodes. Collisions among the nodes provide considerable reduction in the performance of the network. The objective of the work is to provide collision aware cooperative MAC protocol design by modifying the backoff to a specific range. It improves the throughput and reduces delay with less collision rate. It minimizes the complexity of the problem arising in memory and processing.
A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis
Authors: V M Nisha , Jeganathan L
Published: April 2019

Computer aided diagnosis (CAD) is an advancing technology in medical imaging. CAD acts as an additional computing power for doctors to interpret the medical images which leads to a more accurate diagnosis of the disease.CAD system increases the chances of detection of brain lesions by assisting the physicians in decreasing the observational oversight in the early stage of diseases.This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains.Because of the bilateral symmetric nature of human brain, a symmetry based cellular automata model is proposed.An algorithm is designed based on the proposed model to detect the anomaly prone areas in brain images. The proposed model can be a standalone model or it can be incorporated to a sophisticated computer aided diagnosis system. By incorporating asymmetry information into a computer aided diagnosis system, enhances its performance in identifying the anomalies exists in bilaterally symmetrical brain images.
Hybrid enhanced ICA & KSVM based brain tumor image segmentation
Authors: Bathini Thrivikram , Gadgay Baswaraj
Published: April 2019

Medical image processing is an important aspect in diagnosis and treatment strategy. The tremendous volume of medical data has accelerated the need for automated analysis of this image, more so in the case Magnetic Resonance Imaging (MRI). An improved K-means algorithm and EM algorithm have been combined in the proposed approach to produce a hybrid strategy for better clustering and segmentation using Enhanced ICA. A classifier for based on Support Vector Machine (SVM) has been formulated and employed for the classification of brain tumors in Magnetic Resonance Images (MRI). The proposed SVM classifier used a kernel in the form of Gaussian radial basis function kernel (GRB kernel) to improve the classifier performance. The performance of the classifier has been validated through expert clinical opinion and calculation of performance measures. The results amply illustrate the suitability of the proposed classifier.
Reduced mutual coupling multiband MIMO patch antenna with swastik type mushroom EBG
Authors: Thirupathi Maturi , Harikrishna Baranikunta
Published: April 2019

This paper presents a reduced mutual coupling 1x2 rectangular patch antenna. The major disadvantage of the MIMO is mutual coupling. When two antennas are placed nearby mutual coupling occurs. When mutual coupling occurs decrease the channel capacity. Hence the propose system which resonates at first 2.5GHz, second is resonates at 5.4GHz.  Two closely spaced antenna elements are separated by a distance of λmax/8. Here Swastik type mushroom EBG is introduced.  EBG is placed between the two antennas. When EBG is placed between the two antennas good coupling reduction is obtained. This design is excellent isolation of -35dB and -25dB can be observed in the simulation results.
Simulation and analysis of the possibilities of traction electric motor
Authors: Al-Rawashdeh Ayman
Published: April 2019

Great efforts are directed to word the use of electrical vehicles in transportation. Mathematical modeling tools can provide a powerful approach for investigating electrical vehciles and are successfully implemented by applying Matlab/Simulink. In this paper, the mathematical simulation model of Series Excited DC motor (tractive motor) on Matlab/Simulink was implemented and investigated. The main objective of this study is to assess the use of Series Excited DC motor (tractive motor) to be used for the new Amman city express bus project and evaluation of its performance characteristics in different running and loading cases. All simulation results are plotted and discussed. This study confirms the feasibility for the use of series excited DC motor (tractive motor) in electric buses as alternatives for sustaibale and environmentally friendly transportation system.
Normal and abnormal red blood cell recognition using image processing
Authors: Abdulkarim Hajara Aliyu , Sudirman Rubita , Abdul Razak Mohd Azhar
Published: April 2019

In medical field, the recognition of red blood cells (RBC) are used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and abnormal shaped RBCs image by using Form Factor as feature descriptor. Detecting normal cells of RBCs indicate a healthy patient and abnormal cells indicate presence of disease. And is very important in medical field to detect abnormal condition in early stage because it saves and protects human lives. The patients waiting time for blood test is more because the time taking to generate the result of the patient is high due to high demand and less equipment this method is used in order to improve the accuracy of the existing one and 94% accuracy was achieved in the detection.
Rain attenuation statistics over 5G millimetre wave links in Malaysia
Authors: Ghanim Mustafa , Alhilali Manhal , Din Jafri , Lam Hong Yin
Published: April 2019

Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively.  Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.
The impact of electronic payment on electronic shopping decision in Jordan
Authors: Aldiabat Khaled
Published: April 2019

Rapid changes in the world of the Internet have led to changes in the electronic markets, especially the speed of information creation compared to normal markets, the reduction of the time between the search and the product, and the ability of the seller and buyer to deal with each other despite the distance between them, The electronic shopping decision depends on the method of payment. This study attempts to measure the effect of e-cards on the decision of e-shopping in Jordan through four aspects, namely: use and reliability, trust and safety, type of e-card and perception. The study reiterated that there is a positive relationship between the use and reliability of electronic cards and the decision of electronic shopping, where the use of electronic cards increases the decision of online shopping, the study also concluded that the type of electronic card and payment method affects the electronic purchase decision (credit card, debit card, prepaid card, cash on delivery).
Using the Object Mapping Approach from Analysis to Implementation for Developing Student Registration System
Authors: AbdulMonim Dhafer AbdulAmeer , Muhamad Zainab Hassan , Alathari Bashar
Published: April 2019

The Unified Modeling Language (UML) is the effective standard language of an object-oriented based system analysis and design. The using of object-oriented approach based on UML specification can offer an understandable model, which can reduce the system's complexity. The use-case diagram, class diagram and sequence diagram are important models of the system development during early stages. The object mapping approach between UML class diagram in the analysis phase and source code in the implementation phase is a significant process in the software development life cycle. In order to ensure the consistency of system requirements from analysis to implementation. This paper presents the student registration system by using object mapping based on UML. The UML specification and the generation of Java source code influenced by specific features of class in object-oriented such as inheritance and the association between the classes.
A concurrent dual-band CMOS low noise amplifier at 2.4/5.2 GHz for WLAN applications
Authors: Murad S.A.Z. , Hasan A. F. , Azizan A. , Harun A. , Karim J.
Published: April 2019

This paper presents a concurrent dual-band CMOS low noise amplifier (LNA) at operating frequency of 2.4 GHz and 5.2 GHz for WLAN applications. The proposed LNA employed cascode common source to obtain high gain using 0.13-µm CMOS technology. The concurrent dual-band frequencies are matched using LC network band-pass and band-stop notch filter at the input and output stages. The filters help to shape the frequency response of the proposed LNA. The simulation results indicate that the LNA achieves a forward gain of 21.8 dB and 14.22 dB, input return loss of -18 dB and -14 dB at 2.4 GHz and 5.2 GHz, respectively. The noise figure of 4.1 dB and 3.5 dB with the input third-order intercept points 7 dBm and 10 dBm are obtained at 2.4 GHz and 5.2 GHz, respectively. The LNA dissipates 2.4 mW power at 1.2 V supply voltage with a chip size of 1.69 mm2.