bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust Approach of De-noising ECG Signal Using Multi-Resolution Wavelet Transform
Authors: Jaenul Ariep , Alyousif Shahad , Amer Ahmed Alrawi Ali , K. Salih Samer 
Published: November 2018

The ECG signal expresses the behavior of human heart against time. The analysis of this signal performs great information for diagnosing different cardiac diseases. In other hand, the ECG signal used for analyzing must be clean from any type of noises that corrupted it by the external environment. In this paper, a new approach of ECG signal noise reduction is proposed to minimize noise from all parts of ECG signal and maintains main characteristics of ECG signal with lowest changes. The new approach applies simple scaling down operation on the detail resolution in the wavelet transform space of noisy signal. The proposed noise reduction approach is validated by some ECG records from MIT-BIH database. Also, the performance of the proposed approach is evaluated graphically using different SNR levels and some standard metrics. The results improve the ability of the proposed approach to reduce noise from the ECG signal with high accuracy in comparison to the existing methods of noise reduction.Â Â
A Systematic Review of Formative Assessment Tools in the Blended Learning Environment
Authors: Febriani Indah , M. Irsyad Abdullah M. 
Published: November 2018

An effective method of student assessment technique is necessary for assessing student knowledge. Nowadays, the utilization of formative assessment tools in blended learning is increasing because it can enhance the learning quality. The main aim of this study to identify and classify existing research through the research approach, assessment tools type, and assessment specialty on formative assessment tools in a blended learning environment. This study guiding the educators in choosing and developing new assessment tools. The methodology of this research using a systematic review. This method using the inclusion and exclusion process to make a systematic review focused and choose appropriate studies. The result shows that the highest usage of assessment tool type is automatic assessment with the percentage of 87%. Semi-Automatic assessment has 13% and manual assessment 0%. It proves that technology is an important part of education and teaching because significantly transform the method of assessment from manual to automatic assessment type. This is a great transformation from the traditional method to the modern method of assessment. We recommend to further improve methods for online formative assessment and develop computer-based testing in a blended learning environment for future work.Â Â
Investigation of Human Electromagnetic Radiation Characteristic For Kidney Disease Patients
Authors: Zura A. Jalil Siti , Nazerah Shamsuddin Aimi , Armiza Mohd Aris Siti , Aini Bani Nurul , Mad Kaidi Hazilah , Nabil Muhtazaruddin Mohd , Usman Sahnius , Azri Mohd Izhar Mohd , Yusuf Rihana , Syilawani S. Abdul Kadir Ros 
Published: November 2018

The human body is shown to have their own radiation that emits at certain frequencies into the space surround the body. The purpose of this paper is to investigate the characteristic of human electromagnetic radiation among kidney disease patients and non-kidney disease participants. The body radiation frequencies are measured using body radiation wave detector at twenty-two points of the human body. The properties of human electromagnetic radiation are evaluated using statistical analysis of dependent t-test of Wilcoxon Signed Rank test and independent t-test of Mann-Whitney U test. Significant results with the Sig. value below 0.05 are shown in lower body, torso, chakra, arm and upper body, thus indicates the characteristic differences of human electromagnetic radiation frequency between kidney disease patients and non-kidney disease participants.Â Â
Partial Histogram Bayes Learning Algorithm for Classification Applications
Authors: O. Lawend Haider , M. Muad Anuar , Hussain Aini 
Published: November 2018

This paper presents a proposed supervised classification technique namely partial histogram Bayes (PHBayes) learning algorithm. Conventional classifier based on Gaussian function has limitation when dealing with different probability distribution functions and requires large memory for large number of instance. Alternatively, histogram based classifiers are flexible for different probability density function. The aims of PHBayes are to handle large number of instances in datasets with lesser memory requirement, and fast in training and testing phases. The PHBayes depends on portion of the observed histogram that is similar to the probability density function. PHBayes was analyzed using synthetic and real data. Several factors affecting classification accuracy were considered. The PHBayes was compared with other established classifiers and demonstrated higher accurate classification, lesser memory even when dealing with large number of instance, and faster in training and testing phases.Â Â
Using K-Fold Cross Validation Proposed Models for Spikeprop Learning Enhancements
Authors: Y.H. Ahmed Falah , Hassan Ali Yasir , Mariyam Shamsuddin Siti 
Published: November 2018

Spiking Neural Network (SNN) uses individual spikes in time field to perform as well as to communicate computation in such a way as the actual neurons act. SNN was not studied earlier as it was considered too complicated and too hard to examine. Several limitations concerning the characteristics of SNN which were not researched earlier are now resolved since the introduction of SpikeProp in 2000 by Sander Bothe as a supervised SNN learning model. This paper defines the research developments of the enhancement Spikeprop learning using K-fold cross validation for datasets classification. Hence, this paper introduces acceleration factors of SpikeProp using Radius Initial Weight and Differential Evolution (DE) Initialization weights as proposed methods. In addition, training and testing using K-fold cross validation properties of the new proposed method were investigated using datasets obtained from Machine Learning Benchmark Repository as an improved Bohteâ€™s algorithm. A comparison of the performance was made between the proposed method and Backpropagation (BP) together with the Standard SpikeProp. The findings also reveal that the proposed method has better performance when compared to Standard SpikeProp as well as the BP for all datasets performed by K-fold cross validation for classification datasets.Â Â Â
Segmenting Retinal Blood Vessels with Gabor Filter and Automatic Binarization
Authors: Ali Aziah , Hussain Aini , Mimi Diyana Wan Zaki Wan 
Published: November 2018

For timely diagnosis of retinal disease, routine retinal monitoring of people with high risk should be put in place. To assist the ophthalmologists in performing retinal analysis efficiently and accurately, numerous studies have been conducted to propose an automated retinal diagnosis system. One of the crucial steps for such a system is accurate detection of retinal blood vessels from retinal image. In this paper, we investigated the use of automatic binarization methods on pre-processed fundus image to detect retinal blood vessels. Three methods for binarization were investigated in this study, namely Otsuâ€™s method, ISODATA and K-means clustering method. The resulting binarized output indicated good detection of large vessels but most of the smaller vessels were left undetected. To address this issue, Gabor wavelet filter was used to enhance the small blood vessel structures before binarization of the filter output. Combining the binary images from both binarization with and without Gabor filter resulted in significant improvement of the overall detection rate of the retinal blood vessels. The proposed method proved to be comparable to other unsupervised techniques in the literature when validated using the publicly available fundus image database, DRIVE.Â Â
Pose and Illumination Invariance of Attribute Detectors in Person Re-identification
Authors: Saghafi Mohammadali , Hussain Aini , Hanif Md. Saad Mohamad , Asyraf Zulkifley Mohd , Md Tahir Nooritawati , Faisal Ibrahim Mohd 
Published: November 2018

The use of attributes in person re-identification and video surveillance applications has grabbed attentions of many researchers in recent times. Attributes are suitable tools for mid-level representation of a part or a region in an image as it is more similar to human perception as compared to the quantitative nature of the normal visual features description of those parts. Hence, in this paper, the preliminary experimental results to evaluate the robustness of attribute detectors against pose and light variations in contrast to the use of local appearance features is discussed. Results attained proven that the attribute-based detectors are capable to overcome the negative impact of pose and light variation towards person re-identification activities. In addition, the degree of importance of different attributes in re-identification is evaluated and compared with other previous works in this field.Â Â
Towards Revolutionizing Stem Education Via IoT and Blockchain Technology
Authors: Kamal N. , H. Md Saad M. , S. Kok C. , Hussain A. 
Published: November 2018

Internet of Things (IoT) has been implemented in most advance technologies as part of the emerging 4th industrial revolution, and recently, blockchain technology is being welcomed. These rapid growing technologies giving a big challenge to the students. As such, learning these new technologies should be made easy and simple. However, current education does not specifically offer a curriculum to empower skills and knowledge in IoT and blockchain technology. The aim of this research is to develop learning kit that can provide suitable training to understand concept of IoT and blockchain technology. The kit consists of three parts namely â€œbrainâ€, â€œmuscleâ€ and â€œcloudâ€. Raspberry Pi is used as â€œbrainâ€ of operation that will be interact with the Caiser Cloud platform. A testbox operates as â€œmuscleâ€ to provide simple data input. The input from testbox will be sent, stored and displayed on a platform created using Xojo software. The results show that the learning kit is successfully interact with Caiser Cloud platform and can be used as a training tools for education purpose.Â Â
Blockchain Technology for Islamic Marriage Certificate
Authors: Elysha Kamaruzaman Nor , Mohd Yassin Ihsan , Zabidi Azlee , Hafizhelmi Kamaru Zaman Fadhlan , Ismael Rizman Zairi , Baharom Rahimi , Abdul Wahab Norfishah 
Published: November 2018

In recent years, an individual under the pseudonym of Satoshi Nakamoto devised a revolutionary technology called blockchain as the engine behind the first decentralized virtual currency called Bitcoin. A radical concept departing from government-centric controlled currencies, Bitcoin has emerged as a disruptive technology with the power to revolutionize business and its processes. Advantages of the blockchain include decentralized control, immutability, elimination of central authority and solution of concurrency problems in traditional databases. Leveraging on the advantages of blockchain technology defined above, this paper discusses the potential application of blockchain technology for storage of Islamic marriage certificates. Marriage certificates are documents issued to couples to legally recognize their marriage. Due to its paper-based nature, there is significant risk for them to be forged or frauded. These issues can be addressed effective using blockchain. The proposed application was implemented using smart contracts on a simulated Ethereum platform. A smart contract is designed to execute automatically under certain predefined conditions. The use of smart contracts eliminate manipulation by a single party. In addition, the immutable concept of blockchain ensures that data integrity is always preserved, greatly reducing the risk of fraud.Â Â
Improving Low-Cost Solutions for Path Mapping in Autonomous Vehicle
Authors: Hafizhelmi Kamaru Zaman Fadhlan , Johari Juliana , Afzal Che Abdullah Syahrul , Md Tahir Nooritawati 
Published: November 2018

One of the main challenge in designing autonomous vehicle is developing the algorithms necessary for simultaneous localization and mapping (SLAM). While this process heavily depends on an expensive hardware called Light Detection and Ranging (LiDAR), there are cheaper alternatives that can be implemented in earlier stage of autonomous vehicle development. Inertial Measurement Unit (IMU), vehicle odometry, and Global Positioning System (GPS) can be used as a solution. The main problem is these cheaper alternatives relies heavily on the precision of the hardware used. In this project, we outline the mapping process using these cheaper solutions which can also be used to complement LiDAR-based SLAM. We show that using simple approaches such as static bias drift removal, high-pass filtering, signal downsampling and linear interpolation, we can increase the robustness and improve the accuracy and precision of the IMU and GPS used respectively. We manage to increase the precision of the GPS readings and reduce the drift of IMU on average from -17.105 deg/min to -0.1177 deg/min. We show the improvement achieved by our proposed method by mapping the road around Engine Square, Jalan Ilmu 1/1, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.Â Â
Performance Analysis of LPWAN Using LoRa Technology for IoT Application
Authors: Muaz Abdul Rahman Amir , Hafizhelmi Kamaru Kamaru Zaman Fadhlan , Afzal Che Abdullah Syahrul 
Published: November 2018

This paper was dedicated to study the performance of an Internet of Things (IoT) application using LoRa Wide Area Network (LoRaWAN). LoRa is a Low Power Wide Area Network (LPWAN) technology developed for IoT applications specifically. Due to the facts that LoRa is a new product, there are questions about its reliability. Hence, a conclusive experiment has been made. The experiment conducted to get an insight to LoRa received signal strength (RSSI) and packet loss. The analysis also includes a measurement of the application Signal to Noise Ratio (SNR) between the transmitter and receiver. The results of the experiment show that with a higher spreading factor, LoRa end device provides more immunity against multi-path and signal fading. The proposed IoT application based on this LoRa technology is for autonomous vehicle status information transmission and intervehicle communications, specifically deployed in UiTM Autonomous Vehicle 1 (UiTM AV1).Â Â
Speech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers
Authors: Abd Almisreb Ali , Md Tahir Nooritawati , Farid Abidin Ahmad , Md Din Norashidah 
Published: November 2018

In this paper, a speech enhancement method using 2D Gabor filter is proposed. The proposed filter is used to enhance Arabic phoneme speech signals that have been recorded under control environment namely indoor room recording. All the phoneme signals are spoken by Malay speakers and considered as non-native Arabic speakers. Firstly, corrupted speech signals by noise must be enhanced before further processing. The effectiveness of the suggested approach is evaluated in compare with Wiener filter. It is proven that the proposed 2D Gabor filters performed appropriately for speech enhancement purpose at different wavelengths.Â Â
Malaysian public survey on the current carry-on luggage handling onboard commercial transport aircraft
Authors: I Romli Fairuz , Hidayah Ariffin Nur 
Published: November 2018

The current handling of carry-on luggage inside the aircraft cabin has led to several issues such as inefficient boarding and disembarking processes. Due to the number and size of current carry-on luggage, the boarding process has been slowed down due to aisle blocking and luggage overcrowding in the overhead storage bins. To improve this situation, an automated cabin luggage system has been proposed. A public survey has been conducted to explore the general passengers' perception of current carry-on luggage handling inside the cabin and to identify potential rooms for improvement that can be catered by the automated cabin luggage system. The responses obtained from the survey indicate that the current carry-on luggage handling does have several weaknesses that can be improved by the proposed automated system.Â Â
Fire behavioural and mechanical properties of carbon fibre reinforced aluminium laminate composites for aero-engine
Authors: Mohammed Ibrahim , Rahim Abu Talib Abd , Thariq Hameed Sultan3 Mohamed , Sadoon Syamimi 
Published: November 2018

Two different properties of fibre-metal laminate composites (FML), including the fire behaviour and mechanical properties, were experimentally studied in this paper. The fibre-metal laminate composites studied were made of aluminium alloy 2024-T3, carbon fibre, flax, kenaf and epoxy resin/hardener arranged in different forms. The aims of the study are to assess the fire behaviour of the composites using ISO2685 standard and mechanical properties of the composite after withstanding the burn-through according to the standard. The fire test was carried out using ISO2685 standard using a propane-air burner, whereby the propane gas and air serves as the fluid to the system. The universal testing machine of the 100 kN load cell and gun tunnel were used for the mechanical properties test according to each test standard. The fire results showed that three of the FML composites considered in the study are fireproof composites while carbon fibre kenaf reinforced aluminium laminate (CARALL4) is a fire resistant composite. Carbon fibre reinforced aluminium laminate with aluminium alloy at the front and the rear face (CARALL2) withstood higher flame temperature than the other FML composites with 14.4%, 49.0% and 82.8% greater than CARALL1, CARALL3 and CARALL4 in terms of thermal conductivity. In terms of mechanical properties, it was also CARALL2 that has higher tensile, compressive, flexural and impact strength. Therefore, the study showed that carbon fibre flax reinforced aluminium laminate (CARALL3) which is the hybrid composite with green fibre can compete with fibre-metal laminate composites of pure synthetic fibre in terms of their properties.Â Â
An overview of passive and active drag reduction methods for bluff body of road vehicles
Authors: Chuan Eun Lay , Shakrine Mohd Rafie Azmin , Wiriadidjaja Surjatin , Faruqi Marzuki Omar 
Published: November 2018

This paper is an overview of results done on bluff body road vehicleâ€™s base drag reduction either by experimental or numerical methods. Two categories of devices are divided that prove certain degrees of effectiveness in reducing the base drag, namely passive and active. The reduction of drag coefficient achieved in existing research ranging from 5% to 50%, which varies for each method and device. However, the higher the achieved drag reduction is, the greater the compensation required is. The compensation comes in various forms to achieve the desirable drag reduction. For passive drag reduction, hump shaped bluff body with boat-tail shows significant drag reduction by 50.9% compared to the other methods. Meanwhile, one of the potential of active drag reductions is by utilizing rotating cylinder. The rotating can reduce the drag on the bluff body by influencing the separation of boundary layer. The drag can be further reduced by enhancing the rotating cylinder with surface roughness and rotation speed. A notable 23% reduction of drag coefficient using rough surface on bluff body vehicleâ€™s is achieved compared to the smooth surface.Â Â
Preventing human error at an approved training organization using Dirty Dozen
Authors: Ghani Abdul Samad Abdul , Khudri Johari Muhd , Omar Sabri 
Published: November 2018

Following a recently-submitted review on a few human factor identification models (interpretations of Professor Edwardsâ€™ SHELL Model, Boeingâ€™s Maintenance Error Decision Aid (MEDA), Professor Reasonâ€™s Swiss Cheese Model, and Dupontâ€™s Dirty Dozen), researchers have unanimously agreed on choosing the Dirty Dozen model for this quantitative study before its official implementation in hangars and workshops at Universiti Kuala Lumpur â€“ Malaysian Institute of Aviation Technology (UniKL MIAT). This study measures the levels of awareness and effectiveness of UniKL MIATâ€™s current human factor safety practices. A specifically-tailored, comprehensive, Dirty Dozen checklist is produced and distributed as survey questionnaire to 120 UniKL MIATâ€™s students. Data from all 48 questions related to all 12 domains of Dirty Dozen are analyzed. The results shows that out of all 12 domains, six (Lack of communication, Lack of teamwork, Norm, Pressure, Lack of attention, Stress) are marked with â€œAgreedâ€ and the other half (Complacency, Lack of knowledge, Lack of resources, Distraction, Lack of authority, Exhaustion) are marked as â€œNot Sureâ€ in terms of awareness and effectiveness of their current human factorâ€™s safety practices. These results will be reviewed by the top management of the university to take preventive actions and improvements for future human factor safety implementations. As Dirty Dozen is known to be the simplest technique to measure human error, it is significantly appropriate to be applied as this experimentâ€™s variable, especially for students who are still studying and have no industrial working experiences.Â Â Â
Development of attitude control system for hybrid airship vehicle
Authors: Malek Azizi , F Sedan M , S M Harithuddin A 
Published: November 2018

This paper documents and presents the development of attitude control system of Hybrid Airship Unmanned Aerial Vehicle (HAU) that should be able to change its attitude condition based on the response processed from the provided input. This is accomplished by data acquisition method that retrieves data from a flight controller and processes it into the control system without looking in deep on the mathematical model of the airship. Besides that, PID controller is used in order to create a good stable response for the hybrid airship. A working hybrid airship prototype was successfully developed and built, which is five meters in length and has four propellers that is symmetrically distanced to each other. A quadcopter attitude control mechanism is adopted into the hybrid airship to allow for good hovering capability and direct pure attitude control. Outdoor flight tests have been conducted to prove its stability in responding to attitude input given to the hybrid airship attitude controller. A data monitoring software is also written to make the data observation on the behaviour of the hybrid airship response to be easier and understandable. Result demonstrates that the hybrid airship does response to pitch, roll and yaw input from the operator, albeit the lack response stability and speed which can be improved in conservative continuation of research on the airship attitude control system.Â Â