bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning approach for estimating tree volume
Authors: Hajar Mohd Mushar Siti , Sakinah Syed Ahmad Sharifah , Kasmin Fauziah , Hajar Zamah Shari Nur 
Published: June 2020

AbstractWith the forestry and logging activities contributing to 5.6% of the agricultural sector in Malaysia’s 2018 GDP growth, this had thus implied the forest as having a significant role in national growth and the critical need of a precise tree volume estimation. Although regression has been the most common method used for this form of estimation, the expansion of information technology had, however, led to the use of a machine learning technique that is capable of overcoming the issues posed by the regression analysis. In this paper, the estimation of the tree volume was not only conducted via the regression method but had also involved the use of two machine learning techniques, namely the artificial neural network (ANN) and that of the epsilon-Support Vector Regression (ε-SVR). By comparing the root mean square error (RMSE) and standard deviation (SD) values from each of the volume model that had been obtained in this study, the machine learning technique was thus found to have demonstrated a better precision and accuracy level than that of the regression method.
Minimum leakage current optimization on 22 nm SOI NMOS device with HfO2/WSix/Graphene gate structure using Taguchi method.
Authors: Afifah Maheran A H , Firhat E N , Salehuddin F , Mohd Zain A S , Ahmad I , Noor Faizah Z A , Menon P S , Elgomati H A , Roslan Ameer F 
Published: June 2020

Abstract
To acquire the optimal value of the performance parameter, a bilayer graphene with silicon on insulator (SOI) was enhanced and analyzed on 22 nm NMOS device. The device is made of Hafnium Dioxide (HfO2) as a high-k material whereas Tungsten Silicide (WSix) as a metal gate. The Silvaco software ATHENA and ATLAS modules were applied to simulate the fabrication process of virtual devices and to verify the device’s electrical properties accordingly. The Taguchi L9 orthogonal array method was then used to enhance the device process parameters minimum leakage current (ILEAK) according to the International Technology Roadmap Semiconductor (ITRS) specification of 100nA/μm maximum range. The result from smaller-the-better (STB) for ILEAK is then reviewed by the percentage affecting the process parameter. The simulation result shows that the halo tilting angle is the most dominant factor for ILEAK optimization process. The optimized results indicate excellent device performance with ILEAK = 9.29746 nA/µm which is far lower than the prediction.
Gait recognition using histograms of temporal gradients
Authors: Nair Mogan Jashila , Poo Lee Chin , Ming Lim Kian 
Published: June 2020

Abstract
In this paper, we present a gait recognition method using convolutional features and histograms of temporal gradients. The method comprises three stages, namely the convolutional stage, temporal gradient stage and classification stage. In the convolutional stage, the video frames are convolved with a set of pre-learned filters. This is followed by the temporal gradient stage. In this stage, the gradient of each convolved frame in time axis is calculated. Unlike histograms of oriented gradients that accumulate the gradients in the spatial domain, the proposed histogram of temporal gradients encodes the gradients in the spatial and temporal domain. The histogram of temporal gradients captures the gradient patterns of every pixel over the temporal axis throughout the video sequence. By doing so, the feature encodes both spatial and temporal information in the gait cycle. Finally, in the classification stage, a majority voting classification with Euclidean distance is performed for gait recognition. Experimental results show that the proposed method outperforms the state-of-the-art methods.
Water distribution confined in the nanochannel: the impact of the thermal motion of silicon atoms
Authors: Li J P , Li Y S , Wang Z , Wang H C 
Published: June 2020

Abstract
Using molecular dynamics simulations, the impact of the thermal motion of atoms in silicon walls on the water distribution confined in nanochannel has been investigated. The results show that thermal motion of silicon atoms has marginal effect on water distribution when the surface was not charged. However, when the surface is charged, the thermal motion of silicon atoms decreases the adsorbed peak of water molecular, and moves the position of the Na+ ion concentration peak far away from the surface.
A new rear-illuminated vanadium-compensated 4H-SiC photoconductive switches with AlN anti-reflection coating
Authors: Lai K Y , Qi Y L , Lv H J , Qi B , Zhao Y H 
Published: June 2020

Abstract
This paper presents a new rear-triggered vanadium-compensated 4H silicon carbide (4H-SiC) photoconductive semiconductor switch (PCSS) with aluminum nitride (AlN) anti-reflection coating on the back of PCSS device. Characteristics of PCSS are investigated by using semiconductor device simulation software Silvaco-TCAD. The switch substrates were doped with vanadium to make the substrates highly insulated. The on-state performance of the photoconductive switch was tested under pulsed light conditions with a wavelength of 532 nm and an optical power density of 6.8 MW/cm2 at a bias voltage of 2 kV. And the bias voltage was increased from 0 V to 10 kV in the absence of light trigger conditions, and its off-state characteristics were tested. Results show that the electric field strength between electrodes can be reduced by using rear-triggered structure, the switch breakdown voltage is over 80 kV DC, the maximum transient current is about 137 A, and the tail current almost disappears when the pulse light is turned off. In addition, the breakdown voltage of the rear-triggered PCSS to be higher than that of the front-triggered one. After adding AlN anti-reflection coating on the switch, the maximum transient of the switch and the optical utilization efficiency of laser energy are significantly improved, the maximum transient current of the switch was greatly improved from137 A to 150 A, which was increased by about 9.4 %. In addition, the effects of substrate thickness and optical power density on the switching performance were evaluated.
Towards Development a Novel Framework of Web-Based Systems Quality Engineering by the Integration between Information Systems and Software Engineering Theories: Context of Higher Education
Authors: Fadhel Ibrahim Eskandar Ibrahim , Idrus Syed Zulkarnain Bin Syed , Abdullah Mohd Syukri Yeoh , Ibrahim Amani Ali Elmetwaly Ali , Omar Mazni , Khred Ahmed 
Published: June 2020

Abstract
Nowadays systems failure is the dominant of current research in the fields of information systems and software engineering. The rate of systems fails, and dissatisfying users are high with a lack of appropriate framework that can be used as a success measure in the context. With mix of the results in systems success measure. The organization is in need for a well-defined engineered framework to assist in the success measure of web-based systems. Yemeni south region’s universities are facing the problem (dissatisfying users, justifying the cost of implementing systems and measuring its success). This study aims to propose the characteristics of a quality framework suitable for such a purpose and context of developing a novel systems quality framework based on adapting Delone & Maclean 2003, ISO 25010 and Tam to measure the success and quality of these web-based systems. Researchers validated the framework and instrument via 8 academic specialized lecturers in systems and software engineering from (Malaysia, Yemen and India). Researchers then confirmed the translated questionnaire (English to Arabic and back to back translation) with an authorized translation company. Before starting the pilot study, pre-test has been conducted with nine respondents to see if there is any doubts or unclear syntax, everything was OK. Pilot results showed an excellent result.
The Analysis of Noize Hazard towards Workers in Booster Pump Location of PDAM Tirtanadi Medan, Indonesia
Authors: Sutrisno  , Hasibuan Chalis Fajri , Munthe Sirmas , Banjarnahor Marali 
Published: June 2020

Abstract
The noise sound can be potentially arisen by the usage of machine and work tools that support the production process. PDAM Tirtanadi is a company runs provincial water supply engaged in the drinking water processing. However, the machine and tools of the company can generate the noise. Thus, the paper aims to find out the noise intensity of 5 points measurement in booster pump, then determines the correlation towards communications disruption, psychology and physiology. Then, the sound pressure level measurement method refers to Indonesian Minister of the Environment Decree Number 48 Year 1996, and the sound level meter was utilized as means for the research. The result shows that the noise intensity gained of 5 points passed the noise Threshold Limit Value (TLV) as much 96.40dB – 96.75dB. Moreover, the noise level has a significant influence towards the communications, psychology and physiology disruption, which the R value of multiple correlation as much as 0.884.
Wearable Inertial Sensor for Human Activity Recognition in Field Hockey: Influence of Sensor Combination and Sensor Location
Authors: Shahar N. , Ghazali N.F. , As’ari M.A. , Swee T.T. 
Published: June 2020

Abstract
Having a systemic system in recognizing activity in sports is very essential along with enhancing the performance analysis in sport. As the system is required to provide a quality, reliable and unbiased notational data for determining the strength and weakness of field hockey players. Therefore, this study is analysing the accelerometer and gyroscope signal on of the four inertial sensors attached to the upper body chest, waist, right and left wrist and formulate the best model in using the wearable sensor for human activity recognition in the field hockey which are passing, drive, drag flick, dribbling, receiving and tackling. Set of features such as mean, standard deviation, maximum and minimum peak are extracted from each inertial sensor signal as an input vector for classification purpose. Results from the study shows that the recognition using combination of all four sensors achieved the highest performance of 96.7% accuracy; and waist and left wrist is recommended if single sensor based human activity recognition is preferred.
Analysing Implicit Emotion and Unity in Propaganda Videos Posted in Social Network
Authors: Kadir S A , Lokman A M , Tsuchiya T , Shuhidan S M 
Published: June 2020

Abstract
In today’s world of technology involving the sophisticated use of the Internet, the political scene of a country evolves alongside the prolific rise of social media where it becomes a battlefield for political parties to win the hearts and minds of the people through videos, e.g. political discourse and radical videos – involving many issues such as politics, religious, social and economics, which have been posted through social media. These propaganda videos would be powerful vehicles for prejudice and public opinions that could affect national unity specifically among the people. Kansei, has been established as being well-suited to be applied for the purpose of understanding human emotion and psychology. Henceforth, this study aims to comprehend the sensitivity of the people towards various propaganda videos and also to determine whether a relationship exists between Kansei and the videos. In this sense, a Kansei evaluation approach is employed on 10 videos, using 30 Kansei Words, which are adopted from the PANAS-X emotional descriptors. From the results obtained, it is evident that the people do have political awareness, sensitivity and are able to respond to the videos that represent various political issues that could affect people’s unity. Besides, Kansei is able to verify the results, thus proving the existence of the concept of Kansei in propaganda videos. Eventually, the results are significant in providing an overture to people’s response towards political issues, especially through the medium of videos.
The Development of MyMobileSLT: A tool for student time management skills
Authors: Hashim AHA , Alias A , Noor NAM , Ariffin K 
Published: June 2020

Abstract
MySLT (Student Learning Time), a manual book for time management, was earlier created to assist students at the university level manage their time for academic activities effectively. It acted as a tool to guide students in time management, and as a preventive measure towards the problems of procrastination, disorganization, interruptions and workload stress. Supplementary to this MySLT manual was an SLT calculator to help students project the amount of time that should be allocated for each course for each semester. However, students who had used this MySLT tool perceived the hardcopy version of the manual as bulky and inconvenient. They suggested a more practical and convenient platform. Thus, a complete mobile application version of this manual, now named MyMobileSLT, was developed, to make it more convenient and versatile. The objective of this paper is to discuss the development of MyMobileSLT, which involved five stages including Identification, Design, Development, Testing and Maintenance. Although the development of this application is still at its infant stage, a pilot study involving 30 undergraduates from a local university shows an overwhelming response. The findings indicate that MyMobileSLT is perceived as convenient and practical compared to the previous MySLT manual. Further works recommended include features like pop up reminders or alarm in personal calendar.
Initial stage in developing an online car rental system (OCRS) using customization business model
Authors: Bakar Nor Azila Awang Abu , Yuspani Muhd Fakrurrazi 
Published: June 2020

Abstract
Online Car Rental System (OCRS) is a prototype of a car booking website where customers can make car booking process via online. OCRS is developed by utilizing customization business model and provides add-on facilities to the customers. It is proposed as an alternative for the community to make car rental. The development is done based on the case study at a brick-and-mortar car rental outlet AMCT Enterprise. In parallel to the business expansion plan, the company faced challenges to manage car booking process. Increasing number of booking has made manual booking process no longer efficient. AMCT needs a computerized database system to manage booking data and online technology to reach a wider customer base. This prototype system is derived from the development process conducted by adapting the Waterfall Model of the SDLC. The methodology comprises of six sequential steps which are planning, analysis, design, development, testing and evaluation as well as the documentation phase. Test plan and questionnaire was designed for collecting evaluation data from targeted users and experts in order to assess the system functionality and usability. It is hoped that OCRS will enhance the flow of current business process for the customers and the organization.
Designing of input/output port based on FPGA with handshaking capability
Authors: Che Kar S A , Halim Z A , Ismail S I , Ismail N , Ahmad N , Mohamed S 
Published: June 2020

Abstract
Input/output (I/O) port is a group of interfaces that has diverse functional structures of a data processing system use to interconnect with each other. I/O port with handshaking capability is one of the powerful configurations to enable digital communication. The main intention of this project is to design prototype of an input/output port with handshaking capability using Field Programmable Gate Array (FPGA). The main reason of using the FPGA technology is it has unlimited number reprogrammed, cuts developing cost and development time. Xilinx Foundation 2.1i Series software in VHDL description was used as a development tool in this project. The VHDL codes were assimilated into a design and development atmosphere to accomplish many subtasks such as FPGA synthesis, optimization, placement, and routing. The successful design was translated, mapped, routed, and placed onto FPGA Demo Board. XC4010XLPC84 Xilinx FPGA from XC4000XL family was used as a target board. In prototype design, the FPGA pins were connected to a parallel printer port by using a coupled 25-pin DB connector, with a 36-pin Centronics connector cable. The output signals were observed and analyzed by using a logic analyzer.
A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches
Authors: Farizawani AG , Puteh M , Marina Y , Rivaie A 
Published: June 2020

AbstractThe evolution of Artificial Neural Network (ANN) begins in1940s when McCulloch and Pitts published research articles in 1943 discussing about the idea of neural network in general. Basically, the concept of ANN has been inspired by biological human brain model. Then, this concept is transformed into a mathematical formulation and lastly become a machine learning used to solve many problems in this world. Mathematic formulations, design concept, algorithm and computer program can be constructed from ANN. Artificial neural network had undergone many changes on its algorithm and its execution. Otherwise, areas of applications are numerous involving different techniques and approaches of algorithms. ANN algorithm use optimization techniques as a way to find the best outcome based on the problem to be solved. Conjugate Gradient (CG) is one of the popular optimization practices used in ANN to improve learning algorithm nowadays. Therefore, this paper is intended to find out the function and role of modified conjugate gradient method in neural networks and potential related approaches along the age of its advancement. This paper also projected to give an overview approach of ANN with CG method especially on modified CG and overalls performances of those selected models.
Privacy awareness on cloud storage among students at tertiary level: A case study
Authors: Eri Z D , Yusoff S , Ngo K L , Ishak S N H , Ahmad N 
Published: June 2020

Abstract
In recent years, the usage on cloud storage has grown, including students at tertiary level. Cloud storage helps students to store and share academic materials without additional costs. However, not many studies investigate on the students’ awareness level particularly in privacy related issues. This study examined the privacy awareness on cloud storage among students at Universiti Teknologi MARA (UiTM), Kuala Terengganu. The study examined the students’ privacy awareness, through its level of agreement on the five elements which were cloud service awareness, privacy protection, risk analysis, security awareness and data availability participants. 90 respondents from three different programs were selected from the Faculty of Computer and Mathematical Sciences (FSKM). An independent t-test and ANOVA test were conducted using SPSS. The results revealed that there was no significance difference between both genders on the privacy awareness on cloud storage. While, there was a significance difference amongst the three different programs in FSKM about privacy protection. This study concluded that these Computer Science degree students were concerned and aware about the privacy on the cloud storage, but they were not aware about the privacy related issues in the cloud storage.
Voltage Controlled Single Phase Matrix Converter with Low Harmonics and Boost Characteristic
Authors: Zin Mazratul Firdaus Mohd , Mahzan Najwa Nasuha , Zin Nooradzianie Muhammad , Razak Muhd Azri Abd , Daud Raja Mohd Noorhafizi Raja , Zakaria Fathiah , Chek Wan Ahmad Khusairi Wan 
Published: June 2020

Abstract
This paper presents a closed-loop voltage controlled single phase matrix converter (VCSPMC) with boost characteristic and low total harmonics distortion (THD) that complies with the IEEE Standards 519-1992 and 1159-1995. The VCSPMC possesses higher output voltage compared to the input voltage which is 12Vrms with both THD at the input and the output of the VCSPMC reduced to below than 5%. This VCSPMC is controlled by a voltage sensor that measures its output voltage and is compared with a reference voltage of 15Vrms. The proposed method is based on simulation done using MATLAB/Simulink and is experimentally verified.
Implementation of Analytic Hierarchy Process for Determining Priority Criteria in Higher Education Competitiveness Development Strategy Based on RAISE++ Model
Authors: Yulmaini  , Sanusi Anuar , Ariza Eka Yusendra M. , Kholijah Siti 
Published: June 2020

Abstract
Analytical Hierarchy Process (AHP) is a decision-making method in the decision-making system with an objective for determinant the best choice from the alternative. The alternatives would choice in this research is the priority criteria in higher education competitiveness development strategy. In this research use criteria base on the RAISE++ model are Relevance (R), Academic Atmosphere (A), Internal Management (I), Sustainability (S), Efficiency and Productivity (E), Access and Equity (+), Leadership (+). The data collecting method in this research from questioners and use SmartPLS for data analysis. Base on analysis, obtained priority criteria in higher education competitiveness development strategy use AHP method are the first priority criteria is sustainability with weights 0.555, The second priority criteria is leadership with weights 0.336, The third priority criteria is internal management with weights 0.294, The fourth priority criteria is academic atmospheres with weights 0.116, The fifth priority criteria is relevance with weights 0.103, the sixth priority criteria is access criteria and equity with weights 0.093, and the last priority criteria is efficiency and productivity with weights 0.040. Competitiveness criteria have sub-criteria of highest priority is complete infrastructure with a weight of 0.853. This research result in the criteria that are very influential in the development of higher education competitiveness is sustainability and leadership. While the higher education competitiveness criteria are influenced by complete infrastructure.
A simple vision based anthropometric estimation system using webcam
Authors: Gan Xu Yang , Ibrahim Haidi , Ramli Dzati Athiar 
Published: June 2020

Abstract
Anthropometry can be defined as the science of dimensional measurement of the size and proportions of the human body. Anthropometric measurement is used in a lot of fields such as medical, forensics and clothing. The modern anthropometry techniques are expensive and takes up a lot of space while traditional anthropometry techniques are slow and susceptible to human error. Hence, there is a need for the development of a vision-based estimation system that is cheap, fast, accurate and portable. The study in this project proposes a noble way of using Raspberry 3B+ with Logitech C310 camera to perform estimation of chest, waist, hip circumference and body height through 2D images. The system works by implementing Pixel Density Method, HSV thresholding method, OpenPose deep neural network, bounding box method, pixel counting method and Ramanujans ellipse circumference approximation method to achieve objectives of this study. The percentage error between the estimated result and the measured result of chest, waist, hip circumference and body height are only 2.11%, 4.66%, 4.31% and 1.74%. In conclusion, a vision based anthropometric estimation system is successfully developed with high accuracy using all the proposed methods.