bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of local binary pattern using uniform bins as palm vein pattern descriptor
Authors: Atikah Mohd Hayat Nurul , Mohd Noh Zarina , Mohamad Yatim Norhidayah , Ahmad Radzi Syafeeza 
Published: June 2020

Abstract
Palm vein authentication technology which reads the features of palm vein has been widely used in recent years as it offers high accuracy identification and difficult to be forged or impersonated. This paper demonstrates a palm vein recognition system using uniform Local Binary Pattern (LBP) through the Python language and R. Python language was used for contrast enhancement, noise reduction and LBP implementation while R was used for classifying palm vein pattern using K-Nearest Neighbour (KNN) classifier. The palm samples come from two datasets which are from the Chinese Academy of Sciences Institute of Automation (CASIA) and self-dataset. The outcomes were the extracted and classified palm vein pattern based on subjects and their accuracy based on each dataset. The accuracy for all uniform LBP bins and selected uniform LBP bins from self-dataset were 87% and 53% respectively; while for CASIA dataset were 60% and 27% respectively. The results show that the accuracy is higher if all uniform LBP bins are used for the recognition purpose.
Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS
Authors: Nurfarah Ain Mohd Azam Siti , Zohra Fateema-tuz , Azami Sidek Khairul , Smoleń Magdalena 
Published: June 2020

Abstract
This paper proposes a robust biometric identification system using compressed electrocardiogram (ECG) signal by varying physiological conditions. The ECG data were obtained by recording a total of 30 healthy subjects where they performed six regular daily activities repeatedly at a sampling frequency of 1000 Hz. Then, the QRS complexes are segmented by implementing Amplitude Based Technique (ABT) where it compares the amplitudes of ECG points to determine the R peak. The segmented QRS is then compressed for various levels by using Discrete Wavelet Transform (DWT) algorithms and first 3 Daubechies (db) wavelet are computed. Next, a Cardioid graph is generated. In order to verify the matching process, the classification is performed by using the Multilayer Perceptron (MLP) technique. The results show that by applying this method, the accuracy of the identification rate can be achieved as high as 96.4% even when the data file is compressed up to 73.3%. When the data file is compressed, the outcomes also demonstrate that the execution time is less compare to non-compressed data. Therefore, the biometric identification system can be implemented efficiently as there will be a lesser issue regarding the data storage, execution time and accuracy based on the outcome of the study.
Effect of dielectric barrier discharge on ceramic surface properties
Authors: Yao Furong , Pan Mingqiang , Zhu Zongjian , Liu Jizhu , Wang Yangjun , Huang Haibo , Chen Liguo 
Published: June 2020

Abstract
Ceramics, as a commonly used insulating and thermally conductive material, has a wide range of applications in the field of micro-nano manufacturing. In recent years, research on ceramic bonding has also increased. However, ceramic bonding has some problems such as bonding failure and low bonding quality. Learning from other commonly used bonding materials, the important factor for the success of bonding is the surface properties of the material. Therefore, in this study, the surface of ceramic was treated by dielectric barrier discharge (DBD) to improve surface properties. The effects of dielectric barrier discharge on the surface properties of ceramic is investigated from the three aspects: hydrophilic angle, surface energy and surface morphology. In the dielectric barrier discharge experiment, blind via glass is used as the blocking medium for the upper electrode. The lower electrode is covered by ceramic, and the ceramic is also the material to be treated. The influence of processing time, discharge voltage and discharge frequency on the treatment effect is investigated in the experiment. The hydrophilic angle and surface energy of the treated ceramics are measured and calculated by contact angle measuring instrument, and the surface morphology was observed by scanning electron microscopy. The results show that the longer the discharge treatment time is, the larger the discharge output voltage is, the smaller the discharge gap is, the faster the hydrophilicity of the surface of the ceramic sheet is, and the higher the activation energy is. The damage of the ceramic surface after treatment is small, and the impurities on the surface are destroyed. In general, the surface properties of ceramics after dielectric barrier discharge treatment are better than before.
The Perception and Use of Social Media by the Parent of Student at University Malaysia Perlis
Authors: Ishak Aida Shakila , Rose Nurul Naimah , Ahmad Nor’izah , Taufiqqurahman M. , Mustafa Mohd Yusri 
Published: June 2020

Abstract
Communication is very important in an organization as a means of communication with one another. The role of communication is emphasized in an organization as a channel and partnership between partners, lecturers, family members and others. Communication is also important as a tool of socialization and education experienced by an individual to bring him to a person having knowledge of the intricacies of social media. This study was conducted to find out the use and usage pattern of social media among parents of University Malaysia Perlis (UniMAP). The research method used in this study was a “semi-structural” interview. The data were analysed using thematic method. The results of the analysis found that some categories of social site use among parents are for the purpose of keeping up with current developments; connect with family members, to get information, entertainment, motivation and others. The finding found that Facebook’s good and bad. In the context of relationship with children, some respondent admit that social media has the potential to be platform to monitor children activities.
Performance Analysis of ZCC-Optical-CDMA over SMF for Fiber-To-The-Home Access Network
Authors: Ghazi Alaan , Aljunid S. A. , Fareed Alaa , Idrus Syed Zulkarnain Syed , Rashidi C. B. M , albayaty Marwa , Al-dawoodi Aras , Fakhrudeen Ahmed M. 
Published: June 2020

Abstract
To provide a sustainable fiber-to-the-home (FTTH), several multiplexing techniques have been developed for this purpose. The correlation features are the main obstacle behind the network performance limitation, which imposes to a high level of multiple access interference. However, the development of multiplexing techniques helps to overcome these limitations, such as optical-code division multiple access (Optical-CDMA). Optical-CDMA is considered as one of the most powerful solutions for FTTH. This paper aims to enhance FTTH network performance by applying Zero cross-correlation code (ZCC) with Optical-CDMA with maximum link single-mode fiber. In the simulation, the system performance is demonstrated in terms of bit error rate, Q-Factor and eye diagram measurements.
IPv6 WSN Geolocation Using the MAC Address
Authors: O’Daniel T 
Published: June 2020

Abstract
Wide-area Wireless Sensor Network (WSN) deployments that consist of a large number of distributed nodes can benefit greatly from self-configuration and constant reporting of the location where data was sensed. Previous work has shown how a WSN node can calculate an initial estimate of its location and a finite set of alternate points that could be its actual location, using the coordinates and nominal transmission radius of its neighbours embedded in their IPv6 addresses. This paper extends that work, presenting a scheme for embedding the coordinates in the Ethernet MAC address to allow use of IPv6 header compression. To save energy, a practical and efficient method for exchanging neighbor address information and supporting dynamic address changes is also proposed to replace listening in promiscuous mode. Necessary modifications to the stack are identified, and a test program is outlined.
CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia
Authors: Hamidi Saidatul Rahah , Lokman Anitawati Mohd , Shuhidan Shuhaida Mohamed , Hilmi Muhammad Imran Mohd Nor 
Published: June 2020

Abstract
One of the most famous diseases to ever roam across the globe is cancer. There are many types of cancer but the most common sites are breast, trachea, bronchus, lung, and colon cancer. Cancer can also be found pretty much in every country on earth and our country, Malaysia is not to be missed. The number of mortality in Malaysia for cancer is one of the highest and steps can be taken to help reduce the mortality rate. CancerMAS is a web-based dashboard that visualizes cancer incidence in Malaysia using cancer data that can assist cancer researchers to conduct their studies. The dashboard displays visualizations on ten of the highest cancer sites in Malaysia for male and female along with age-groups. The dashboard also presents visualizations of all cancer sites by gender and ethnic as well as the incidence by states in Malaysia. All of the visualizations are in the form of graphs. The dashboard allows the user to zoom into the graphs and isolates elements in the graphs including hovering over the graph to reveal information.
Development of constructionist robotics to facilitate learning in C programming course
Authors: Miskon MT , Hilmi FD , Khusairi WA , Rustam I 
Published: June 2020

AbstractLearning to program at a stationary computer for any programming course can be boring and demotivated especially when dealing with complex syntax details. A more hands-on approach utilizing robotic module will lead to a better task-oriented interaction between students and their real-life surroundings hoping to increase student engagement with programming. Thus, this paper proposed a constructionist robotic module to facilitate learning in C programming curriculum utilizing a microcontroller board known as FRDM-KL05Z. The module consists of several input and output components that can be utilized to establish human-machine interaction depending on the instruction code written by the students. A pilot survey was also carried out to assess overall impression of the student towards the proposed approach in teaching and learning activities. Results indicated that students were satisfied with the approach as it help to improve their understanding in C Programming.
The evolution of information dissemination, communication media and technology in Malaysia
Authors: Rosmani Arifah Fasha , Mutalib Ariffin Abdul , Sarif Siti Mahfuzah 
Published: June 2020

Abstract
Information plays an integral part of human life. With the availability of data and information, people could learn and comprehend about beneficial substances in life. Knowledge and dissemination of information have flourished today as the development of technology has intensified how dissemination of information from traditional to modern means. With this increasingly evolving mass media, it has also inadvertently affected the distribution of information, expansively and flexible. From this study, we can observe the evolution of the dissemination of information that began with printed materials to digital materials. Massive user growth has been evident from the method of reading printed materials, to the use of radio, television, Internet and mobile phone. The degree of tendency of using these methods is also comparable in terms of reliability of the information gained and accessibility of the audience through the media. The interdependent use of the Internet and mobile phones has outperformed other media, especially in terms of information search, knowledge trustworthiness and audience accessibility.
The 128-bit AES design by using FPGA
Authors: Hamzah Hidayarni , Ahmad Nabihah , Ruslan Siti Hawa 
Published: June 2020

Abstract
Advanced Encryption Standard (AES) is a common symmetric encryption algorithm and widely implemented in Wireless Local Area Network (WLAN) and Bluetooth controller for security services in its application. This paper presents a 128-bit data path with 128-bit, 192-bit or 256-bit key size. The purpose of the design is high throughput and low area design of AES. The AES methodology is by using Field-Programmable Gate Array (FPGA) and Xilinx Virtex-7 XC7VX485T as a tool to obtain simulation results through Verilog Hardware Description Language (HDL). This design utilized a 2730 Slices with the throughput of 12.9 Gbps. The design is suitable for the portable device application which requires data security with a high throughput and speed.
Information System Based Excellent Higher Education Model
Authors: Sanusi Anuar , Irianto Suhendro Y. , Herlina  , Aziz R.Z.Abdul 
Published: June 2020

Abstract
The problem of this study was to find the tool to measure Higher Education. There is no standard of measurement tools for excellent Higher Education. The status of an excellent Higher Education has not been an effective promotion for Higher Educations. Besides, it has not the indicators whether the excellent Higher Education or poor Higher Education. It is reflected by the cluster excellent Higher Education, fair Higher Education and poor Higher Education based on information systems. The purpose of this research was to build a model of Measurement Information System for Higher Education. Creating the status of an excellent Higher Education becomes a reference for investors in education; it guarantees sustainable service (sustainability). This research method was to explore several universities in Indonesia. This research technique selected 6 islands and 24 private Higher Education. The considerations were the best private universities in Indonesia. The method of this study designed an excellent Higher Education development model by compiling an institution business process model. It was realized by an academically. Furthermore, it was integrated by quality assurance system; validating instruments to several similar universities that had implemented a quality assurance system and the existence of a quality control group. The results of the research were the SI-PETIS model, and Implement the excellent Higher Education on Information System (SI-PETIS); issued the copyrights from the results of research and formulate the policy in a relevant environment, namely healthy Higher Educations. Moreover, this study built the SI-PETIS model.
Bio-acoustic signal identification based on sparse representation classifier
Authors: Ramli D A , Wan Z X , Ibrahim H 
Published: June 2020

Abstract
Most animals produce sounds as a way of communication within their species or as noises resulting from feeding or travelling. An automated recognition of bio-acoustic signals becomes vital in the aspect of ecological research and environmental monitoring. With the improvement of technology, scientists today are interested in classifying types and species of animals by their vocalizations without visualizing them with the naked eye. Hence, species identification system based on animal vocalizations becomes an important topic to be researched nowadays. This project aims to develop a frog species voice identification system, recognizing different frog species through analyzing their calls. In this project, Sparse Representation Classifier (SRC) and Kernel Sparse Representation Classifier (KSRC) are employed for the identification task. Performances between SRC and KSRC are compared and discussed in this project. Besides, a graphical user interface (GUI) is also developed to facilitate the user while interacting with the system. Two experiments were done in this project so as to evaluate the effect of numbers of training data and feature dimensions to the classifiers. In short, KSRC (96.6667%) has a higher performance in accuracy compared to SRC (95.6667%). However, KSRC takes a longer computation time compared to SRC. A GUI namely Frog Species Identifier that has been developed by implementing KSRC with 20 training data and 4096 feature dimensions is the final outcome of this project.
The evaluation of compensation techniques in i-vector modelling for sound-based biometric recognition system
Authors: Ibrahim N S , Ramli D A 
Published: June 2020

Abstract
i-vector subspace modelling is one of the recent methods that has become attractive to sound-based biometric recognition domain. This method provides a benefit of modelling both intra-domain and inter-domain variability into one low dimensional space. This paper focuses on the analysis of i-vector channel compensation techniques for the purpose of improving the i-vector sound-based biometric recognition performance. This work was mainly motivated by the need to quantify the impact of different compensation techniques to the i-vector performance specifically towards the fusion compensation approach. The performances of six channel compensation techniques: (a) whitening, (b) Within Class Covariance Normalization (WCCN), (c) Linear Discriminant Analysis (LDA), (d) whitening and WCCN, (e) whitening and LDA and (f) WCCN and LDA have been investigated in this study. 2656 syllables of bio-acoustic sounds are used as experimental data and parameters of the system are initially tuned with different GMM component sizes i.e. 16, 32, 64 and 128 number of Gaussians. To the end, we assess the effect of the tuned parameter and observe the recognition rate. Experimental results reveal that the accuracy of i-vector with the fusion of WCCN and LDA compensation outperforms other compensation approaches with result of 92.00%. Consequently, these findings allow a better understanding of the compensation approaches, in particular, the fundamental concept of the compensation procedure that leads to the success of the i-vector paradigm.
Estimation of Nitrogen Concentration of Paddy Leaf Using Aerial Image Captured By Drone
Authors: Saifizi M. , Cuthawat  , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Jamlos Mohd Aminudin 
Published: June 2020

Abstract
Paddy crops are one of the major sources of income in the country as rice is the main food of the population. Rice is a basic necessity and it’s very high demand among consumers in the country causes farmers to use fertilizer to produce enough rice. The use of fertilizers will bring benefits to farmers but if the quantities of fertilizer are not controlled then it can cause losses. Typically, fertilizers contain nitrogen which is the source of environmental pollution if nitrogen levels are too high. The rate of use of fertilizer or nitrogen plays an important role in the process of growing paddy trees. The concentration of nitrogen levels can be determined through the colour of the leaf of the paddy tree such as yellowish green, light green and dark green. The colour indicates the concentration of nitrogen contained in the rice plant. The yellowish green colour indicates that the rice trees do not get enough fertilizer and the growth of stunted rice trees. While the dark green colour indicates high nitrogen levels, the mature process of rice trees becomes slow. The light green leafy paddy is a healthy tree and the nitrogen content contained in paddy is perfect. Traditionally, farmers identify nitrogen concentrations manually by surveying the rough eyes. However, this method requires a lot of workforces, time and not consistency. In addition, that method is impossible to get accurate results and there is an error in the survey process because different people will have a different opinion specific task. The purpose of this project is to provide an image processing system to estimate the concentration of nitrogen in paddy trees through leaf colour. Concentration is estimated by using image processing techniques, automated detection and extraction system besides data collection aims to help farmers in the future.
Estimation of Paddy Plant Population Using Aerial Image Captured by Drone
Authors: Saifizi M. , Syauqi M.A , Vinnoth R. , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Jamlos Mohd Aminudin 
Published: June 2020

Abstract
Monitoring of rice plants population density is important for crop setting and fertilizer management to achieve high target yield. Currently, the population density is determined by manually counting the tiller number of total rice plants in a 25 cm x 25 cm square frame. Generally, several random sampling locations of a paddy plot are selected to perform tiller counting. This is time-consuming, labour intensive and costly. An automatic counting tiller number method using digital image processing technique is introduced to overcome the problem. Monitoring paddy population can be done by using Unmanned Aerial Vehicle (UAV) or Drones. The use of drones can take a wider picture, save time and be more efficient. For this research, the DJI Mavic Pro Drone is used to scout the areas. The drone has captured the image from the air and sending to the computer via wireless. The image is processed in different technique such as filtering, enhancement, segmentation and thresholding. As a result, the image processing technique is practical, feasible and effective in estimating tiller number for monitoring of rice plant population density.
Soft Biometrics and Its Implementation in Keystroke Dynamics
Authors: Yaacob Mohd Noorulfakhri , Idrus Syed Zulkarnain Syed , Ali Wan Nor Ashiqin Wan , Mustafa Wan Azani , Jamlos Mohd Aminudin , Wahab Mohd Helmy Abd 
Published: June 2020

Abstract
Biometrics is a unique art that exists within a person and allows it to be used to differentiate between one another. These biometrics can be divided into two categories namely behaviour and physical such as face, fingerprint, hand, voice and gait. There are previous studies which examine the personal’s characteristic or personality as gender, age, cultural, weight, height, colour of hair etc. This personal’s characteristic or personality also known as soft biometric. Several previous studies have shown that the use of soft biometric element (one or combination of elements) in the process of identifying individuals can improve the performance of individual recognition. This paper will elaborate and concludes past studies related to the use of soft biometric elements in KD. Several soft biometric elements applied in various methods of recognition on previous studies have been listed and the results of the studies are compared.
Hybrid Animation: Implementation of Two-Dimensional (2D) Animation
Authors: Asraf Syed Muhammad Hazry , Idrus Syed Zulkarnain Syed 
Published: June 2020

Abstract
In the 21st century, much progress has been made following the industrial revolution 4.0. Therefore, the field of animation has also been injected into technological advances. The transmission of information is difficult to convey accurately and interactively to users. In providing users with more exposure and convenience in a more attractive and convenient way. Therefore, animation and motion capture are the best options for use today. As a result, the results of this project can have a huge impact on the animation industry in making video or animation more interesting in 2D animation.