bluuebunny/crossref_metadata_2025_split huggingface dataset:
Line Detection and Monitoring System on Woodball Sport
Authors: Chandrasegaran Janathnan , Mustafa Wan Azani , Umoruddin Nurul Afidah , Mahyudin Ilham Shafini , Jamlos Mohd Aminudin , Syed Idrus Syed Zulkarnain , Idris Azlina 
Published: June 2021

Abstract
In most sports today, the decisions taken by referees are supported by the use of electronic technology. The detection and monitoring system of the woodball lines serves the same function, helping the referee to take decisions and modernise woodball sports. The modern sport of wood balls depends entirely on out decisions. The line detection technology helps inform the judge whether the ball is OB (out of Bounds), while the monitoring system notifies players, judges, and the crowd whether or not the gating is effective. But the referee's manual assistance is always necessary to start the game after a good gating, since the player cannot touch the wood ball the whole time. Finally, the percentage of precision and error was achieved.
Demographic features of Pahang Portal Mart adoption during Covid19
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin 
Published: June 2021

Abstract
The use of online shopping during covid season 19 is expected to continue to increase. The rise in the use of online shopping is really encouraging, as it will support the government campaign to curb the spread of the Covid-19 epidemic and there might be many users who also do not make effective use of information technology. Therefore, this study aims to identify the demographic features of online shopping users in Malaysia during the Covid season. this study uses a questionnaire instrument for data collection. a total of 127 respondents were successfully obtained and the data were analyzed with descriptive statistics. findings have shown that the majority of respondents were Malays and they are students who have a Bachelor’s degree and aged between 21 and 29 years. the findings of the study are discussed further suggestions for improvement are stated in this study
The determine factors of student satisfaction with e-learning in Malaysia Higher Education Institutions: a scoping review
Authors: Mohamed B , Noorashid N A , Abd Razak F Z 
Published: June 2021

Abstract
The aim of this scoping review is to investigate work published on student satisfaction with e-learning in Malaysia Higher Learning Institutions (HLIs). A scoping review was conducted using the methodological framework of Arksey and O’Malley to identify a broad range of relevant literature, regardless of study design. A systematic search was performed using Google Scholar in May 2020 and then was updated in October 2020. The database was searched for literature published between 1st January 2019 and October 2020. Two authors independently assessed literature eligibility and extracted data to answer our research question ‘From the previous literature, what is the effects of e-learning/LMS on student learning satisfaction in Malaysia Higher Learning Institutions?’ Seven articles were included in the review. There appears to be a paucity of research regarding student satisfaction with e-learning in Malaysia HLIs. Various theories and models have been included in the papers. However, all the articles mentioned the factors that determine student satisfaction with e-learning. The study demonstrates that when e-learning is delivered purposefully and effectively in the management and support of student learning, it has a positive effect on student satisfaction. However, more research in this area is required.
Development and Behaviour of Interlocking Compressed Earth Bricks in Universiti Malaysia Sabah, Malaysia
Authors: Abdullah E S R , Mirasa A K , Asrah H , Mohamad H M 
Published: June 2021

Abstract
Conventional bricks such as Fired Clay Bricks (FCB) contribute to environmental issues due to the production process. Previous study has shown that interlocking bricks have potential as alternative way for sustainable development. The Interlocking Compressed Earth Bricks (ICEB) is a sustainable construction material which all the main constituents locally available and stabilize with Ordinary Portland Cement (OPC). Thus, this study focusses on determination of proper mix design for the ICEB in line with that to reduce the contribution to environmental issues. Six (6) different of cement contents were investigated, which 0% to 10% by incremental of 2%. All the ICEB samples were tested for water absorption and compressive strength at the ages 7, 14 and 28 days. The ICEB with 10% of cement contents show the highest compressive strength which have exceeded the minimum required stated in BS3921:1985 (5 N/mm2) however the water absorption exceeds the allowable limit of 15% based on MS 76:1972. This study may contribute and act as manual for mix design of the ICEB.
Examining the factors influencing Pahang Mart portal using Technology acceptance model: the moderating effect of education level
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin 
Published: June 2021

Abstract
The use of Pahang Mart portal greatly helps the people of Pahang to shop especially during the covid-19 season. However, if the system is not used optimally then waste will occur. Therefore, this study outlines the objectives that aim to identify the role of education level in moderating the relationship between perceived ease of use and intention to use Pahang Mart portal. The findings of the study have proven that performance expectancy has a significant relationship with the intention to use the Pahang Mart Portal application. However, the level of education does not play a significant role in simplifying the relationship between perceived ease of use and intention to use.
Measurement model for Pahang Portal Mart acceptance scale instrument
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin 
Published: June 2021

Abstract
The use of Pahang Mart portal among the people of Pahang during the covid19 season is very encouraging. However, if the use of this portal is not complete, then the development of this portal will be a futile and detrimental project. A study on the acceptance of this portal is necessary and to ensure that this study has validity and reliability, the instrument needs to be proven in advance about its validity and reliability. Therefore, this study aims to determine the validity and reliability of the instrument that used to measure PahangMart portal acceptance. This study is a quantitative study using questionnaire instruments taken from previous researchers. The findings of the study prove that the questionnaire has a good level of validity and reliability.
Analysis of Solid Carbide Drilling Performance on AISI 316L Austenite Stainless Steel using MQL (Minimum Quantity Lubrication) using Peck Drilling Approach
Authors: Mukhtar M , Effendee Mohd , Ibrahim Mohd Habir , Syahrir M 
Published: June 2021

Abstract
Minimum Quantity Lubrication (MQL) minimizes refrigerants and lubricants mixed with air to foster environmental sustainability. Austenitic AISI 316L stainless steel is often used for the aviation, biomedical equipment and food appliances. However, low machinability of this material makes it difficult to cut resulting low hole surface quality. The objective of the study is to evaluate the drill performance of solid carbide tools while drilling AISI 316L austenite stainless steel and to study the effect of drilling parameters, cutting speed (Vc), feed rate (Fr) and drill geometry (point angle) on tool life, surface integrity and holes accuracy. Solid carbide drilling performance analysis on AISI 316L Austenite Stainless Steel using MQL was assessed in terms of tool life, surface roughness, and hole accuracy. Investigation for optimal conditions of cutting speed, feed rate and point of angle when drilling AISI 316L austenite stainless steel would obtain the optimum output indicates longer tool life, better surface roughness and adequate accuracy in high-speed machining conditions. This MQL oil-air flow is accurately measured and sent to the drill tool edge. The cutting speeds applied for the machining process are 100m / min, 130m / min and 150m / min. For feed rate parameters, the selected values are 0.05mm / rev, 0.1mm / rev and 0.15mm / rev. Rotational drill angles are 110 °, 120 ° and 130 °. The peck drilling investigation is performed on high-speed milling machines keenly will provide guidance to produce good and optimal machining settings of cutting speed, feed rate and angle point to others when they want to drill a hole.
New hybrid BFGS-CG method for solving unconstrained optimization
Authors: Osman Wan Farah Hanan Wan , Mamat Mustafa , Ibrahim Mohd Asrul Hery 
Published: June 2021

Abstract
Conjugate gradient method and quasi-Newton (QN) method are both well known solvers for solving unconstrained optimization problems. In this paper, we proposed a new conjugate gradient method denoted as Wan, Asrul and Mustafa (WAM) method. This WAM method is then combined with the QN method to produce a new hybrid search direction which is QN-WAM. Based on numerical results, the proposed hybrid method proved to be more efficient compared to the original quasi-Newton method and other hybrid methods.
‘CLASSKICK’ an interactive online app to Support Students’ Learning: A case study on Mandarin as a foreign learning
Authors: Chua Nurul Ain , Soon Goh Ying , Mansor Noor Rohana Mansor Binti , Rashid Roswati Abd. , Ahmad Mazlina , Musa Azlina , Dollah@Abdullah Aisyah Binti 
Published: June 2021

Abstract
Technology evolution now allows for many things. However, it is hard to keep students engaged without a teacher’s physical presence contact. Educators may use interactive virtual applications to track students’ progress and giving feedback to keep them engaged. Due to the rise of online learning tools; students have an opportunity for personalised instruction and tailored to their specific needs. Thus, this article presents Classkick, an interactive web and mobile app supporting differentiated Mandarin instruction in higher education. A quasi-experiment was used to examine how influences students’ knowledge and the teacher’s teaching practice. Classkick enhanced the quality of Classkick learning and changed the way students learn. Classkick is a potential app for differentiated instruction. It helps teachers to differentiate instruction for individual need. However, students and teacher need to adjust self-concept to be more effective. The study found that Classkick which can be used to render integrated instruction that can minimise distraction. It showed that technology integrated lessons have a higher impact on student learning than traditional methods.
Comprehensiveness, Preciseness and Interconnectedness: How to Evaluate International Public Opinion Based on Cross-media Data Mining on the Internet
Authors: Deng Tianqi , Hou Xiaotian , Liu Yumo 
Published: June 2021

Abstract
With emerging new media technologies, the analytic focus of research on international public opinions has switched from single content form, such as text, audio, image or video into multiple forms of media integrated together in cyberspace or in physical space. The depth and frequency of monitoring international public opinion on topics related to China are improving rapidly. This paper pinpoints the inadequacies of current monitoring activities and puts forward ways to analyze international public opinions on topics related to China based on technologies, such as web indexing, deep learning and data mining. Thematic discovery based on big data analytics, real-time surveillance and monitoring of trending topics, intelligent prediction of popularity, intelligent analysis of emotional valence, etc. can effectively support the establishment of a system using multimedia data to monitor and analyze international public opinion.
An Opportunity Downlink Interference Alignment Algorithm Based on Punch Scheduling in Cognitive Heterogeneous Networks
Authors: Li Na , Xie Jianli , Li Cuiran 
Published: June 2021

Abstract
For the hierarchical structure and frequency reuse of cognitive heterogeneous networks, it is inevitable to effectively deal with interference while gaining capacity. In this article, we consider the downlink cognitive heterogeneous network, in which a macro base station can serve a certain number of macro users, and each macro cell is composed of a certain number of micro cells. An opportunistic downlink interference alignment (ODIA) algorithm for cognitive heterogeneous networks based on puncture scheduling is proposed. First, we designed a pair of precoding and decoding matrices to eliminate co-layer interference. Second, in order to reduce the overhead required to transmit system state information(CSI), we proposed a user scheduling algorithm that not only can obtain a larger interference-free size, but also improvements in fairness, system capacity and overflow probability. The simulation results show that the proposed ODIA scheme is superior to the existing interference management algorithms in terms of interference, system capacity and fairness of system resource allocation.
Research on Super-Resolution Reconstruction Algorithm of Image Based on Generative Adversarial Network
Authors: Jia Rongzhao , Wang Xiaohong 
Published: June 2021

Abstract
Image super-resolution is to use a series of algorithms to improve the original image resolution. The process of obtaining high-resolution image through some low-resolution images is image super-resolution reconstruction technology. There are two main research fields in super-resolution reconstruction, one is to restore the real details of the image, and the other is to not require too much detail, and only pay attention to the overall visual effect of the image. In this paper, an improved super-resolution reconstruction algorithm based on generative adversarial network is proposed. The network model and loss function are improved and optimized. The auxiliary VGG-19 network is used to extract the image features, and the extended convolution is used to expand the receptive field, which makes the image have a better reconstruction effect. Using DIV2k data set as training set and set5, set14, bsd100 data sets as test set, a series of experimental analysis is to prove the feasibility of the procedure method. Compared with the existing mainstream models, the perceptual effect of the image has been improved.
A Novel Channel Attention Mechanism for Human Action Recognition Based on Convolutional Kernel
Authors: Shi Xin , Jiang Haiyang , Lu Yuanyao 
Published: June 2021

Abstract
With the improvements of computer performance, deep learning has gradually expanded from 2D image tasks to 3D video tasks. Human action recognition is a typical 3D video task, which can achieve category classification by capturing human action characteristics. However, most of the videos are processed by encoding and decoding technology at current, thus the motion details are blurry, which makes it difficult for human action recognition. To solve this problem, we utilize the attention mechanism to “ignore” the blurred feature caused by video coding and decoding technology. Therefore, we hope to embed the attention mechanism in 3D spatiotemporal CNN to overcome this problem. Compared with 3D CNN, the effectiveness of our method is verified on UCF101 and HMDB51 dataset. And our method also proves the convolutional kernel implies channel-wise dependence. Although the improvement of the proposed method is limited, we hope the channel attention mechanism can help people to study neural network.
Research on the Mechanism of the Influence of E-WOM Dispersion on Consumers Return Intention
Authors: Long G T , Song M M , Duan Y C , Cao Z P , Wu W L 
Published: June 2021

Abstract
Based on the attribution theory, this paper constructs a conceptual framework for the influence of the dispersion of electronic word of mouth on consumers’ return intentions, focusing on the impact of the interaction between robot review and e-WOM dispersion on consumers’ attribution selection, the study uses situational experiments to collect data and verify hypotheses. The study found that: (1) Consumers are more willing to return goods when faced with high-dispersion electronic word of mouth; (2) When facing high-dispersion electronic word of mouth, consumers tend to attribute it to existing reviewers; (3) The influence of word-of-mouth dispersion on attribution selection is regulated by robot reviews. For the word-of-mouth dispersion of robot reviews, the tendency of word-of-mouth dispersion to be attributed to product reasons becomes greater. The research has laid a theoretical foundation for further exploring the influence of e-WOM dispersion on consumers’ return intentions, and also provides theoretical guidance and reference for enterprises to rationally use Internet robots and reduce return rates.
Solving Manifold Ambiguity by Sliding the Array in MIMO Radar
Authors: Pang Yucai , Xiao Yuhan , Liu Song , He Yun 
Published: June 2021

Abstract
Arbitrary sparse array could extend the array aperture. And the position of sparse array elements has little constraint. But, the manifold ambiguity of sparse array will cause ambiguity angle estimation. In order to avoid manifold ambiguity in Multiple Input Multiple Output (MIMO) radar with sparse array, a new solving ambiguity method is proposed based on sliding the array. By employing reduced multiple signal classical algorithm(RE-MUSIC), the true direction of departure (DOD) and direction of arrival (DOA) are obtained. The main idea of the proposed method is that get DODs and DOAs separately by RE-MUSIC algorithm. When transmitter exists the ambiguity, we compare the RE-MUSIC spectrum of pre-sliding transmitting array with the RE-MUSIC spectrum of post-sliding transmitting array to obtain the true DODs. Then we obtain the true DOAs by the RE-MUSIC spectrum of receiving array. It is similar to receiver exists the ambiguity. Simulation results verify the validity of the proposed method.
Designing and Realization of VR Simulation System on Oilfield Flooding
Authors: Zhang Ruijie , Wu Zhenming , Guo Yapeng , Wang Mengxiao , Liu Aiyang 
Published: June 2021

Abstract
Water injection system is a large production system of oil field, this system works not only in vast area, but also in complex working conditions with great energy consumption. Since the Ninth Five-year Plan period, under the concept of national advocate with energy conservation, emissions reduction and low carbon environmental protection. The process of simulation, optimization and energy conservation of water injection system has been the focused problem of oil sector. This article based on the existing oil field water injecting simulation system, combining the virtual reality technology with water injecting system simulation technology, analyzing and researching with 3D display and virtual interaction of water flooding simulation system as a starting point, designed and excogitated a complete set of oil field water injection virtual-reality simulation system in order to assist production management of on-site technical personnel.
An Improved Island Algorithm and Its Application in Model Optimization of Micro Soft Robot
Authors: Ma Ji-Ming , Shan Shi-Jiao , Su Ri-Jian , Wen Xu-Qin , Xu Hong-Sheng 
Published: June 2021

Abstract
Aiming at the shortcomings of the original island algorithm (IA), which has a slow convergence speed and is prone to local optimality, the island algorithm with the characteristics of Levy flight (LevyIA) was proposed by introducing the Levy flight strategy, which replaced the position update method in the original algorithm and made use of the occasional long jump of Levy flight strategy to jump out of the local optimal solution. The simulation test of the improved algorithm is carried out with 6 test functions, and the experimental results show that the improved algorithm LevyIA can effectively solve the problems of slow convergence speed and local optimization of island algorithm. For the micro-soft robot model with multi-mode movement, IA and LevyIA algorithms were used to optimize the size of the robot and the appropriate magnetic field intensity needed to drive the robot to deform and move. Finally, the experimental data of swimming speed of the robot obtained by simulation shows that, among the three optimization results obtained by LevyIA algorithm and IA algorithm, LevyIA algorithm can make the robot swim faster when moving forward with minor perturbations.
The Design and Realization of Fire Evacuation and Rescue Applet
Authors: Zhang Yansu , Gao Pengcheng , Yang Chenying 
Published: June 2021

Abstract
With the vigorous development of new media technology, wechat applet is in the stage of blowout development. Based on wechat platform, and combined with the public’s cognition of fire safety knowledge, the fire evacuation and rescue applet is designed by wechat developer tools, cloud computing platform and other tools. The applet includes many modules such as evacuation plan display, fire plan display, fire tips, plan inquiry, fire publicity video and hidden danger report and so on. In the event of a fire, the applet can enable the public to acquire the knowledge of fire safety precautions and evacuation paths of the places where they are located timely. Also, the applet can help commanders get the fire emergency plan at the first time, have a preliminary understanding of the driving route, water source information and the basic situation of the unit on the way if reinforcements are needed in other district. So the fire evacuation and rescue applet can provide a timely and effective way for the public to popularize fire common knowledge. All of these functions can enhance people’s awareness of fire safety and reduce losses in case of fire.
Architecture Design of An Intelligent Monitoring System for Turbine Filtration Device
Authors: Yi Jiangang , Bo Wen 
Published: June 2021

Abstract
In order to improve the operation efficiency of the turbine and reduce the failure rate of the equipment, this paper takes the inlet filter device of the turbine as the research object, comprehensively utilizes computer technology, machine learning, computer network and other technologies, and proposes a remote monitoring system of the turbine filter device based on industrial Internet cloud service and C/S architecture. The industrial process monitoring system is designed according to the actual situation of the industrial process. By connecting the system to the industrial Internet cloud service, the remote monitoring of the on-site running state and operation data of the equipment is realized. On this basis, the artificial neural network is proposed to realize the timely diagnosis and treatment of faults, and the operation and maintenance suggestions are put forward to improve the stability of equipment operation, reduce the maintenance cost of equipment, so as to improve the economic benefits of system operation and maintenance.
Correction in determination of specific activity of radionuclides by gamma spectrometry in building materials
Authors: Polouckova V 
Published: June 2021

Abstract
For more accurate determination of specific activities of radionuclides by gamma spectrometry in materials, it is necessary to take into account two important factors. These are the effect of true coincidences and self-absorption of gamma radiation directly in the measured sample. The corrections for these factors are determined for the specific measurement geometry defined by the detector, the measuring vessel and their relative positions. Corrections are calculated by Monte Carlo simulation. The results show a significant effect of material bulk density on the correction values.