bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiling and Relationship between Sprint Time and Cardiovascular Fitness during In-Season’s Training among Professional Soccer Players
Authors: Madarsa Nor Ikhmar , Mohamad Nur Ikhwan , Malek Nor Fazila Abd , Chinnasee Chamnan , Md Nadzalan Ali 
Published: March 2021

Abstract
The purpose of this study was to examine the sprint time and cardiovascular fitness among professional soccer players during in-season’s training sessions. Thirty participants who officially registered as Perbadanan Kemajuan Negeri Perak Football (PKNP) Club professional soccer players participated in this study. Data were collected during actual in-season training sessions from December 2016 to April 2017. Sprint time performance was determined by the 20m sprint test and 20m Yoyo Intermittent Recovery Test Level 1 was used to determine the cardiovascular fitness level of the players. Repeated Measures and Pearson Correlation Coefficient was used to analyzed the data, there was significant improvement (p<0.05) for sprinting performance from pre-test (3.59 ± 0.36 sec) to post-test (3.20 ± 0.14 sec). There was also a significant improvement for cardiovascular performance from pre-test (68.65 ± 3.88 mhkg-1·min-1) to post-test (75.40 ± 5.45 mhkg-1·min-1) throughout the four months of training periods. There was a significant relationship (p<0.05) between sprint time performance and cardiovascular fitness performance for all six series testing. Thus, it can be concluded that throughout the process of monitoring, the player’s performance can be identified, as showed in this study there was an improvement on sprinting performance and cardiovascular fitness performance throughout six series testing, which mean players undergone relevant training program during the in-season training session.
Spotted hyena optimizer for well-profile energy optimization
Authors: Biswas Kallol , Rahman Md Tauhidur , Negash Berihun Mamo , Askary Md Abu Hasan Al , Hai Tasmia Binte , Kabir Shihab Shahriar 
Published: March 2021

Abstract
In recent years, directional drilling becomes more popular in petroleum industry due to its more exposure to reservoir. During wellbore trajectory design for directional drilling, more importance should be given on safety issues. Well-profile energy is the key parameter which can assure a safe and efficient wellbore trajectory through proper optimization. In this work, the Spotted Hyena Optimizer (SHO) is proposed and implemented for optimizing the well-profile energy and compared with another state of art method named Particle Swarm Optimization (PSO) algorithm. The trajectory is mathematically formulated by using radius curvature method (RCM) considering 17 variables on which well-profile energy is depended. The SHO successfully obtained the optimum values of the 17 design variables which eventually given the minimum well-profile energy. The optimum well-profile energy obtained by SHO is 207.00 which is 18.28% better than PSO. Additionally, the sensitivity of the algorithm has been analysed by changing different operational parameter of SHO. It is observed that the efficiency of SHO increased with the increment in the number of search agents (hyenas). The minimum well-profile energy achieved through SHO ensure a less complex and safe wellbore trajectory.
Static Bending Performance of Mengkulang and Kasai LVL Beam in Structural Size
Authors: Kim Tan Khai , Noh Nur Ilya Farhana Md , Bhkari Norshariza Md , Ahmad Zakiah , Chen Lum Wei , Harun Mohd Shafee , Lin Ng Jing 
Published: March 2021

Abstract
The scarcity of good quality timber initiates the timber industry shift to engineered timber products. Laminated veneer lumber (LVL) promising high strength and more dimensionally stable as well as flexible compared to conventional timber components. However, most of the previous studies focus on softwood timber, and limited species utilized tropical timber. Thus, this study assessed the static bending performance of LVL produced from Malaysian tropical hardwoods, namely Mengkulang (Heritiera spp.) and Kasai (Pometia spp.) in structural size. A four-point bending test was conducted in accordance with BS EN 408:2010+A1:2012. The effect of loading direction in edgewise to the bending test sample are performed and evaluated in parallel and perpendicular to the timber grain. In this study, Kasai samples displayed higher bending strength in MOR and MOE values than Mengkulang samples. By grain directions, samples with grain parallel to span performed better in MOR and MOE values as compared to the perpendicular grain samples for both timber species.
Effect of organic and nitrogen loading rate in a rotating biological contactor for wastewater treatment
Authors: Waqas Sharjeel , Bilad Muhammad Roil , Man Zakaria B 
Published: March 2021

Abstract
A laboratory scale rotating biological contactor (RBC) bioreactor was evaluated for the synthetic municipal wastewater treatment. The decentralized RBC potential advantage of relatively simple design, low HRT and aeration requirement, high loading capacity and relatively high nitrogen removal. An increase in loading rates resulted in enhanced removal rates and decreased removal efficiency for both organics and nitrogen. The bioreactor was operated under loading conditions of 9.6-28.7 g COD/m2.d and 0.085-0.255 g N/m2.d resulted in 48.0-76.9% and 33.0-45% removal efficiency for organics and nitrogen, respectively. The average removal efficiency in terms of chemical oxygen demand, total nitrogen, ammonia and turbidity was 72.4±2.5 mg/L, 38.3±1.9 mg/L, 95.6±0.8 mg/L, and 78.9±0.3 NTU, respectively. Moreover, an energy consumption analysis RBC shows that it consumes significantly less energy compared to other biological processes. Overall results exhibit the effectiveness of the RBC to obtain superior biological performance thus significantly enhances environmental sustainability.
Malay SMS Spam Detection Tool Using Keyword Filtering Technique
Authors: Hanif Ellya Izatty , Foozy Cik Feresa Mohd , Hamid Isredza Rahmi A. , Mohamed Rozlini , Yusof Munirah Mohd , Aziz Ruhaya Ab. , Shamala Palaniappan 
Published: March 2021

Abstract
Message Service (SMS) Spam is one form of mobile device attack that can affect mobile user’s security and privacy. This study developed a Malay SMS Spam detection framework specifically for Malay language. The paper discusses about the spam word detection using keywords filtering technique and security question to enable authorized user reset password when forgot the password. The development of the detection tool is done using the Object Oriented Methodology (OOM). There are four phases in OOM which is Requirement Phase, Analysis Phase, Design Phase and Coding Phase. This detection tool is then further analyzed to evaluate the functionality. This project also compares the existing tool to know the lack of current existing tool. Most of the existing spam tools are capable of identifying English text-based messages but there are close to none to filter the Malay language text-based SMS spam. It is expected that the developed tool is able to detect the SMS spam by using keywords filtering technique in Malay language.
Graphical Password Authentication For Child Personal Storage Application
Authors: Yang Tay Yi , Shamala Palaniappan , Chinniah Muruga , Mohd Foozy Cik Feresa 
Published: March 2021

AbstractMobile applications are very popular among the children nowadays as children use it for many purposes such as entertainment, learning or education. Keeping hand written notes in hard copy is not a good choice as the accumulated papers would mess up child’s study space. Although there is high adoption of mobile application among children nowadays, but children are not educated to practice password to secure their personals in their primary school syllabus. Therefore, an application which can provide personal storage for children to store their notes in softcopy forms called Graphical Password Authentication for Child Personal Storage Application was proposed. The adoption of graphical password authentication in the proposed system is intended to cultivate children practice password to secure their files in an interesting method. The proposed system is developed in Android mobile application platform and the Object-oriented Mobile Application Development is applied as methodology of the project. The proposed system’s functional requirements are implemented according to user’s requirements and the application interfaces implementation also based on user’s characteristics that has been studied in literature reviews. The significance of the project is awareness on secure file keeping among the children. Children can use graphical password in their childhood age would be the advantage for them in the future because they would make a sense to protect privacy by setting up password. In terms of information security, the proposed system has mentioned some values that would be achieved which are authentication, confidentiality and availability.
Design of MIMO F-OFDM System Model for PAPR Reduction in the Growth of 5G Network
Authors: Noorazlina M.S , Sulong S.M. , Said M.Shahrizan M. , Ahmad I. , Idris A. 
Published: March 2021

Abstract
A compact 5G technology can be defined as a system which consist of high signal data transmission, maximizing frequency diversity and can combat noise interference. By theory, it is significantly to improve system’s performance in order to obtain better voice quality, tolerance to noise interference, excellent spectral efficiency, higher network capacity, low latency and frequency selective fading in multipath environment, which is robust to the channel impairments. 5G network uses multipath environment or multiple transmissions technique, which known as multiple input multiple output, (MIMO). MIMO operates with multiple antennas technology, which includes the multiple transmitters with receivers’ circuits to minimize errors and optimize data speed. For the transmission efficiency, multiple antenna system model is commonly put together with digital data encoding method called Orthogonal Frequency Division Multiplexer (OFDM), where the carrier signals have high spectral efficiency and immunity to frequency fading. MIMO-OFDM configuration has introduced to increase the diversity gain and improve the system capacity. Currently, filtering is implemented to overcome out-of-band radiation for the spectrum efficiency and meet the diversified expectation for the growth of 5G network. The main drawback in MIMO F-OFDM system is its high peak-to-average-power-ratio (PAPR). This paper discusses the parameter specification in reducing PAPR in MIMO F-OFDM system. The proposed parameters are utilizing block coding technique that is Enhancement Asymmetric Arithmetic Coding (EAAC), together with numbers of antenna configuration to overcome the problem of high PAPR. From the simulation results, the PAPR reduced at 6.85% using block coding technique and MIMO antenna configuration and it is verified with the existing system with MIMO-OFDM. Overall, the communication system model will lead to the mutual harmonization among society with new parameters of MIMO F-OFDM and block coding technique.
Effect Of Pressure On Density, Porosity And Flexural Strength During Cold Isostatic Press Of Alumina-Ysz-Chromia Cutting Tool
Authors: Norfauzi T. , Hadzley A.B. , Azlan U.A.A. , Azhar A.A. , Noorazizi S. 
Published: March 2021

Abstract
This study presented the effect of pressure on the density, porosity and flexural strength when cold isostatic press (CIP) was applied to compact the ceramic powders in the form of insert cutting tools. Specific composition of alumina (Al2O3) wt.90%, yittria stabilized zirconia (YSZ) wt.10%, chromium oxide(Cr2O3) wt.0.6% and polyethylene glycol (PEG) wt.0.6% were ball milled and hand pressed to form green body of ceramic inserts. These green body were undergone further compaction inside CIP with pressures variation of 200 MPa, 300 MPa, 400 MPa with 30 seconds and 60 seconds pressuring time. The ceramic composts were then sintered at 1440°C for 9 hours before being assessed with density, porosity, Rockwell hardness (HRC) and bending test. The results show that CIP use with 300 MPa parameters with 60 seconds shows the best mechanical properties with relative density 95.5%, porosity 4.5% and HRC 65.5 hardness. Further assessment of microstructure revealed that the particles size distributed evenly along fracture surface with coarse grain and porosity dominant in the certain area.
Non-Conformance Time As The Component Of Time Loss Measures In Assembly Processes
Authors: Rasib A.H.A. , Abdullah R. , Parnon M.A.A. , Abdullah Z. , Mansoor H. O. 
Published: March 2021

Abstract
Hidden Time Loss (HTL) occurs along the production processes that have a big implication on productivity. Overall Equipment Efficiency (OEE) is one of the most popular performance measurement tool used in the production line. The HTL has been provided by quality as one of the measure components of OEE. However, OEE doesn’t really suitable in measuring operation performance of assembly processes mainly in the semi-auto assembly and the manual assembly processes. There would be the amount of HTL have occurred along the semi-auto assembly and manual assembly processes that become crucial when to achieve high product variety at the same production assembly line. Therefore, the purpose of this paper is to introduce the Non-conformance Time (NCT) as one of the part of Hidden Time Loss Measures (HTLM) in assembly processes. Literature study on manufacturing assembly processes had been used to derive the structure of NCT. Then, two selected automotive manufacturing companies had been used as a case studies in order to validate the NCT structure. Based on semi-auto and manual assembly processes, the results show that the NCT is one of the parts of HTLM.
Experimental study on human physiology during repetitive workload simulated under high temperature and high relative humidity
Authors: Ismail Ahmad Rasdan , Jusoh Norfadzilah , Makhtar Nor Kamilah , Zein Raemy Md , Rahman Ismail Abdul , Abdull Wahab Shaik Farid , Othman Rohayu 
Published: March 2021

Abstract
Repetitive workload may cause fatigue and contributed to most cases of workplace related ergonomics injuries in the industries. The purpose of this study is to investigate the physiological responses induced by the repetitive lifting activities based on in the Malaysia construction workers being exposed under high heat and the relative humidity. To achieve the objectives, three male workers participated in this experiments. There were repeated experimental based on the Design of Experiments procedure simulated under environmental temperature (32°C and 25°C) and repetitive lifting task (15 min). The physiological responses measured where the heart rate (HR) and maximum oxygen consumption (VO2max). The experiments were conducted in a thermal climate simulation chamber and the parameters were set-up based on the real working environment. The results showed that the subjects highly experiencing fatigue when they were exposed to high temperature at 32°C. These phenomena were determined through their HR and VO2max, which were increased gradually under prolonged environment exposure. This study found that the significant heat stress increased the workload intensity in repetitive lifting tasks significantly correlated with the physiological responses of the subjects represented through the HR and VO2max. The study concluded the need of management to reconsider the impact of work environmental temperature and relative humidity to their workers especially to those work under tropical climate.
Research on Forecast of Gasoline Octane Loss Based on Neural Network
Authors: Zhang Zele 
Published: March 2021

Abstract
Low-sulfur gasoline has become the world’s fuel development trend. However, the existing technology generally reduces the gasoline octane number in the process of desulfurization and olefin reduction of FCC gasoline. How to predict the octane loss of gasoline is very important for subsequent related research. This paper analyzes and screens the refinery data of chemical plants, builds a neural network-based gasoline octane loss prediction model, inputs 12 main operating variables to predict the octane loss, and verifies it with real data. The results show that the training effect of the model is good, and the training error is within 1%, which provides a reference for the research on predicting the loss of gasoline octane number.
Research on Wireless Sensor Network System Based on Zigbee Technology for Short Distance Transmission
Authors: Zhao Yong 
Published: March 2021

Abstract
Based on ZigBee technology and the development of ARM technology and the demand of the wireless data transmission system, this paper proposes a wireless sensor network based on ZigBee and ARM design scheme of system mainly include ZigBee node and ZigBee base stations, using MSP430F149 framework and CC2420 ZigBee nodes, with embedded ARM7 chip STR710FZ2T6 framework and CC2420 ZigBee base station node, a hardware platform of low power consumption, low cost, and USES the partial mesh topology, Z-Stack protocol Stack Development of software and on-demand routing algorithms, embedded Tiny OS system, ZigBee-based wireless data transmission system. At the same time, aiming at the wireless sensor network (WSN) in the process of clustering nodes distribution imbalance problem affecting the service life of the network, an improved particle swarm (IPSO) algorithm combined the technology of distributed spatial analysis (DSA) of wireless sensor network equilibrium density clustering method, in order to promote the network equilibrium distribution of energy consumption, avoid the working life of the hot issues and maximize the sensor network. The experimental results show that the proposed method is effective for energy balance clustering of network nodes, and has lower power consumption than other clustering techniques, so the network life is longer. Peer-to-peer communication can be realized between point to multi-point and two points, automatic configuration and automatic recovery of fast networking, and data communication can be realized through coordination between nodes.
Diagnostic Analysis and Research on Battery Health Status of Electric Vehicles
Authors: Hu Yinquan , zhang Haoran 
Published: March 2021

Abstract
With the rapid development of electric vehicles, the attenuation problem of high-specific energy lithium-ion batteries has been paid more and more attention. Its health state is the core parameter of durability management, which is crucial to prolong battery life and improve system reliability. Aiming at the safety and power performance of power battery in the operation of electric vehicles, the kalman filter method was combined with battery charge-discharge curve identification, and the battery health (SOH) diagnosis method based on online testing platform was proposed. The results show that the battery health state can be estimated by the change of internal resistance of the battery model, and the absolute error is not more than 3%, and with the improvement of the model accuracy, the estimation of the battery health state becomes more accurate.
Research on Anti-ship Collision Measures for Offshore Wind Farm in Operation Period-Case Study of Zone 2 Project of Guodian Zhoushan Putuo No.6 Offshore Wind Farm
Authors: Sen Zhaopeng , Song Li 
Published: March 2021

Abstract
Since 2007, China’s offshore wind farm construction has developed rapidly, with more than 50 projects under construction and under construction. The operation period of offshore wind farms has a far-reaching impact on the ship traffic pattern in coastal traffic-intensive waters, and the poor compatibility of sea resources has a fragmented and three-dimensional exclusive impact on the use of sea areas, which makes the navigation conditions in nearby waters more complex. At present, there is no universally binding international convention or technical standard for ship navigation safety in offshore wind farm waters at home and abroad, which leads to the lack of unification of several important aspects of standards for offshore wind farm design and construction.For example, the requirements for channel distance, anti-collision requirements, setting standards for navigation marks and warning signs, pollution prevention management, emergency disposal and subsequent abandonment are not uniform. This paper focuses on the analysis of anti-collision measures between ship and wind turbine foundation from the perspective of navigation safety during the operation of offshore wind farm, and takes the No.6 offshore wind farm project in Zhoushan Putuo as an example to discuss.
Research on intelligent mattress based on improved SMS structure sensing fiber
Authors: Ke Chenxi , Cai Yilun , Zhao Tao , Li Zhengying 
Published: March 2021

Abstract
The contact-type vital signs detection system affects the user’s comfort and causes inconvenience due to its monitoring through skin contact. And most of the non-contact equipment precision is not high, or the cost is too high. To solve the above problems, this article is based on the physiological activity of slight vibration in multimode optical fiber micro bending deformation which results in the change of light intensity principle, considering the singlemode-multimode- singlemode(SMS) fiber of the structure of the sensor has simple structure, low cost, high sensitivity, but get the signal to noise is bigger, the accuracy is not high, this paper designs a kind of intelligent mattress based on modified SMS sensing optical fiber. The mattress can obtain ballistocardiogram signal in real time by changing the small light intensity, and obtain the heart rate, respiration rate and other information through the algorithm processing signal. In this design, the sensing fiber of the mattress is embedded in a small core fiber to solve the shortcomings of signal noise interference and instability obtained by the SMS structure fiber, and then it is embedded in the mattress by means of serpentine routing, and uses the covering material of the mattress adjusts the micro-bending period of the optical fiber to reach the critical mechanical period, so that the mattress has high sensitivity. Through in the laboratory and SMS type sensor for heart and breath signal are compared, and contrast and by Fast Fourier Transform (FFT) in frequency domain signal is analyzed, the vital signs of signal more clearly this mattress stable noise smaller, replace the tester for many times after tests, get the signal of high accuracy, the error is very small. The experiment shows that the mattress can detect non-sensory vital signs, facilitate the user to monitor his/her physical condition in real time in daily work and life, and timely inform the family members and medical staff in case of emergency, so as to avoid the occurrence of accidents.
Predication of Solubility of Titanium in Fe-Csat-Ti Melts by MIVM
Authors: Yao Chunling , Zhang Songyuan , Liu Zhennan , Huang Hui , Liu Cong 
Published: March 2021

Abstract
The solubilities of Ti balanced with titanium carbide and titanium carbonitride in Fe-Csat-Ti melts were predicted by molecular interaction volume model (MIVM). In order to verify the present method, the activity of Si, Mn and Ti in Fe-C-Si, Fe-C-Mn and Fe-C-Ti melts were predicted by MIVM and compared with experimental data. The results indicate that the predicted values of Si, Mn and Ti activity by MIVM are in good agreement with the experimental data, and the predictive effect of this model is better than the Wagner formalism. Considering the fact that titanium carbonitride is a non-ideal solid solution, the solubilities of Ti were predicted. The results are in reasonable agreement with the experimental data, and the prediction effect of MIVM are of better stability and reliability. Therefore, its prediction results can be used as the reliable basis of thermodynamic study for liquid iron containing Ti, and the calculations can be performed to predict at which conditions the carbides or carbonitrides will form.