bluuebunny/crossref_metadata_2025_split huggingface dataset:
Qualitative-based QoS performance study using hybrid ACO and PSO algorithm routing in MANET
Authors: Wong Yoon Khang Adam , Elias Shamsul J. , Zulkifli Nadiatulhuda , Adiyansyah Indra Win , Abedalrahim Jamil Alsayaydeh Jamil , Manap Zahariah , Akbar Mohamat Gani Johar 
Published: June 2020

Abstract
In today’s accelerated growth of mobile device technology, resource utilization in access network will continue to draw more attention to the increasing mobile user devices and applications. The main objective is to address the issue of QoS resource utilization efficiency. This paper combines the Ant Colony Optimization (ACO) algorithm and the Particle Swarm Optimization (PSO) algorithm to provide the optimum routing and to improve the QoS resource utilization efficiency. This proposed hybrid ACO-PSO algorithm uses the IEEE 802.11 DCF standard with multi-antenna scheme (MIMO) of Mobile Ad-hoc Network (MANET) to apply into integrated wireless (MANET) optical (PON network) based in Software Defined Network (SDN) with cloud computing. IEEE 802.11 Wireless Local Area Network (WLAN) gives the opportunity to its users to practice the wireless environment and full functionality of “anything, anytime, anywhere” concept. The proposed work is implemented using the OMNeT++ software where it investigates the QoS performance. These metrics include all nodes throughput, bandwidth, and load balance, routing and control overhead improvement with reduction. They also comprise of RSSI, end to end delay, Packet Delivery Ratio, network capacity, packet loss probability, as well as power consumption in all wireless nodes and energy consumption from wireless domain to wired domain.
Pulse Position Modulation characterization for indoor visible light communication system
Authors: Zaiton AM , Eng CH , Jasman F 
Published: June 2020

Abstract
Visible light communication (VLC) systems which employ visible light for communication is one of a promising technology for 5G due to its high bandwidth, efficient power consumption and higher security. In VLC, typically LEDs are used as a light source for transmitting information and providing illumination simultaneously. The intensity of the light is modulated at a very fast speed which is undetectable by human eyes. This paper explores the performance of two types of single-carrier modulation schemes suitable for VLC, namely OOK and PPM based on power, path-loss and data rates. The performance of unmodulated signal is also included for comparison purposes. The maximum distance achievable for each modulation schemes are recorded. It is shown that PPM has a superior performance compared to OOK in terms of the transmission distance and path loss, while OOK was excellent choice for highest data rates.
Phantom development for In-Vitro measurements of MICS band telemetry antenna
Authors: Sulaiman N H , Samsuri N A , Rahim M K A , Inam M , Seman F C , Othman N 
Published: June 2020

Abstract
The paper presents the development of a liquid phantom and In-Vitro testing of Compact Meander Line Telemetry Antenna (CMLTA) by using the developed phantom at 402.5 MHz. A liquid phantom for 402.5 MHz has been developed, and the dielectric properties of the developed liquid phantom have been characterized for verification by using an open-ended probe method. Various composite samples of the solution are developed to characterize material properties for comparison with the theoretical properties at 402.5 MHz (εr= 58.2, σ = 0.82). The comparison between simulated and theoretical permittivity as well as tangent loss is presented. The measured dielectric properties are verified by using open-ended coaxial dielectric kit. Simulated and measured results can be observed in terms of frequency and return loss performance with a deviation of 0.004 MHz and 2.7 dB, respectively.
Water ageing effect on wearable antenna made of medical-friendly and transdermal material at 2.4 GHz
Authors: Othman N. , Samsuri N. A. , Rahim M. K. A. , Sulaiman N. H. 
Published: June 2020

Abstract
This paper presents the feasibility investigation of a flexible antenna made of medical material as the substrate for medical application. A 2.4 GHz antenna is designed on three different medical-friendly materials: cotton-crepe bandage, artificial cotton patch and semi-transparent silicone patch. Water ageing test is conducted to explore the ability of the proposed flexible substrate materials to cope with the wetness issue. The antenna performance in four conditions (original, fully wet, damp and fully dry) are measured and compared. The water-aged antennas’ physical condition are observed and the results show that the flexible antenna made of artificial cotton patch retains its radiation performance. Only a minor shift of approximately 40 MHz of resonant frequency is found for the flexible antenna made of cotton-crepe patch. The work presented here has profound effect on the future development of wearable antenna suitable for health monitoring applications.
A multiband antenna for biomedical telemetry and treatments
Authors: Xin Oh Zi , Ho Yeap Kim , Shen Voon Chow , Chun Lai Koon , Chiong Teh Peh 
Published: June 2020

Abstract
This paper presents the design of a tri-band adhesive antenna for biomedical telemetry. Since human body is lossy in nature, the signal transmitted from an implantable medical device is usually very weak. The adhesive antenna acts like a repeater which increases the strength of the signal. This allows the signal to be sent effectively to the base station. The antenna is designed to resonate at 375 MHz, 2.525 GHz and 5.625 GHz. The measurement results show that the antenna has 10 dB impedance bandwidths of 400 MHz (175 – 575 MHz), 950 MHz (2.125 – 3.075 GHz) and 1.5 GHz (5.125 – 6.625 GHz) to cover the MICS, ISM and IEEE 802.11 WLAN bands, respectively. The proposed antenna is printed on a flexible Rogers RT/duroid 5880 epoxy substrate with a volume of 70 mm × 80 mm × 1 mm. The simulated and measured performance of the antenna confirms its omnidirectional radiation patterns and dual-band operation with high return losses.
Investigations on europium aluminum incorporated polymer composite optical waveguide amplifier
Authors: Najahatul Huda Saris Nur , Hamzah Azura , Sabri Sabrina , Ambran Sumiaty , Mikami Osamu , Ishigure Takaaki 
Published: June 2020

Abstract
The gain performance of 50-iun core diameter graded-index (GI) multimode europium aluminum benzyl methacrylate (Eu-Al/BzMA) waveguide was investigated by numerically solving rate and propagation equations using MATLAB. At a fixed waveguide length of 10 cm and gain medium concentration of 13 wt.%, optical gain was found to be dependent on pump power and input signal power. This paper utilized a 532 nm wavelength pump with power varied from 100 mW to 500 mW, together with low (-30 dBm) and high (0 dBm) input signal powers, within the amplification range of 580 to 640 nm wavelength. With the highest pumping power of 500 mW and the lowest input signal power of -30 dBm, a 29-dB optical gain with wavelength of 617 nm was observed from forward pumping amplification. For comparison, an identical waveguide in terms of properties was fabricated through an innovative fabrication method for polymer waveguide—the Mosquito method. The fabricated waveguide was then experimentally tested for -30 dBm input signal power with 200 mW pump power in the attempt to realize future real-world applications of short reach networks such as in Local Area Network (LAN) and in-vehicle optical interconnects.
IoT based water quality monitoring system for aquaponics
Authors: Farhan Mohd Pu’ad Muhamad , Azami Sidek Khairul , Mel Maizirwan 
Published: June 2020

Abstract
Most tasks can be done remotely nowadays with the help of the Internet of Things (IoT). IoT can also be applied in the agriculture sector such as aquaponics where water quality is crucial to be kept track at all time to avoid loss of resources. Personnel used for water quality checking on-site is becoming less practical for the technologies available today. Remote monitoring system using IoT is essential for water quality monitoring. However, the lack of attention was given by local farmers for applying it in aquaponics. In this study, an IoT based water quality monitoring system for aquaponics was developed to shift from monitoring water quality on-site to remote monitoring via the Internet. Several open-source software was used in developing the monitoring system. The system covers a web server which is accessible via the Internet for user convenience today. Several tests were carried out on aquaponics in the Malaysian Institute of Sustainable Agriculture (MISA). The result shows that the system can display measurements over time and alert users via the dashboard. Other than that, observation indicates that the reporting system is stable and reliable to be used in an aquaponics system.
Automated aquaponics maintenance system
Authors: Farhan Mohd Pu’ad Muhamad , Azami Sidek Khairul , Mel Maizirwan 
Published: June 2020

Abstract
Nowadays, automation has become an essential feature in various applications. Agriculture is a crucial sector in which human being heavily depends on. Aquaponics is one of the efficient approaches in agriculture. Human resource allocated for aquaponics maintenance is very inefficient in terms of workload as compared to the time spent especially with the advanced technology we have today. It is necessary to include automation in aquaponics to reduce manpower involvement. However, a lack of attention has been given by local farmers to automate their aquaponics using technology. In this study, an automated aquaponics maintenance system was developed as a prototype to reduce human involvement in the activity. The system covers water level and light-emitting diode (LED) power switch maintenance. Furthermore, the automation system can be controlled via Telegram for user convenient. Moreover, it also measures the pH level of the water as an additional feature. Numerous tests were conducted on aquaponics to observe the reliability of the system at the Malaysian Institute of Sustainable Agriculture (MISA), a non-profit organization focusing on urban farming. Positive results were obtained from the tests which suggested that the system is self-dependent. Therefore, the system is suitable to be used in aquaponics.
Driver drowsiness detection using different classification algorithms
Authors: Nor Shahrudin N. S. , Sidek K.A. 
Published: June 2020

Abstract
Capability of electrocardiogram (ECG) signal in contributing to the daily application keeps developing days by days. As technology advances, ECG marks the possibility as a potential mechanism towards the drowsiness detection system. Driver drowsiness is a state between sleeping and being awake due to body fatigue while driving. This condition has become a common issue that leads to road accidents and death. It is proven in previous studies that biological signals are closely related to a person’s reaction. Electrocardiogram (ECG) is an electrical indicator of the heart, provides such criteria as it reflects the heart activity that can detect changes in human response which relates to our emotions and reactions. Thus, this study proposed a non-intrusive detector to detect driver drowsiness by using the ECG. This study obtained ECG data from the ULg multimodality drowsiness database to simulate the different stages of sleep, which are PVT1 as early sleep while PVT2 as deep sleep. The signals are later processed in MATLAB using Savitzky-Golay filter to remove artifacts in the signal. Then, QRS complexes are extracted from the acquired ECG signal. The process was followed by classifying the ECG signal using Machine Learning (ML) tools. The classification techniques that include Multilayer Perceptron (MLP), k-Nearest Neighbour (IBk) and Bayes Network (BN) algorithms proved to support the argument made in both PVT1 and PVT2 to measure the accuracy of the data acquired. As a result, PVT1 and PVT2 are correctly classified as the result shown with higher percentage accuracy on each PVTs. Hence, this paper present and prove the reliability of ECG signal for drowsiness detection in classifying high accuracy ECG data using different classification algorithms.
Home automation monitoring system based on Internet-of-Things application
Authors: Ali N. A. , Syafeeza A.R. , Ja’afar A. S. , Abdul Hamid Norihan , Mohamad Saleh Ts Saleha binti 
Published: June 2020

Abstract
The design of a smart green environment of home automation for appliances monitoring systems is developed based on an IoT(Internet of Things) application. The smart home concept represents a motivating platform for innovation of information technology services to produce more operative house devices and system that can improve the standard of life. This project aims at controlling home appliances via Smartphone using Wi-Fi as a communication protocol and the Raspberry Pi as a server system. The user here can move directly with the system through a web-based interface over the net. The designed system not solely monitors the sensor data but also actuates a process according to the need. Therefore, globally accessible automation of electronic appliances is created attainable with the utilization of a Raspberry Pi micro-controller board, a web affiliation and relay switches in a user-friendly way for the users to regulate home electronic appliances with high flexibility and security.
Optimization of process parameter variations for 16nm DG-FinFET using Response Surface Methodology-Central Composite Design
Authors: Roslan Ameer F , Salehuddin F , Zain A S M , Kaharudin K E , Ahmad I , Hazura H , Hanim A R , Idris S K , Hamid Afifah Maheran A 
Published: June 2020

Abstract
A 16 nm double-gate FinFET (DG-FinFET) designed are optimized with a mathematical modelling using a response surface method-central composite design (RSM-CCD), with the relationship between parameters and output responses are investigated and examined. The threshold voltage (VTH), drive current (ION), leakage current (IOFF) and subthreshold swing (SS) ramifications towards the adjustment of six process parameter that integrates polysilicon doping dose, polysilicon doping tilt, Source/Drain doping dose, Source/Drain doping tilt, VTH doping dose and VTH doping tilt is studied using the RSM-CCD using half-factorial of 86 experimental runs, which totals to 52 runs, consisting of 8 centre points, 12 axial points, and 32 factorials. Ultimately, the VTH after the result is optimized with RSM-CCD showcased an improvement at 0.1785 V, with IOFF achieved at 958.71 pA/μm despite performing less favourably after optimized. That said, an improvement towards ION/IOFF ratio at 2.049×106 compared to 1.666×106 proves that both optimization techniques have met the predictions of International Technology Roadmap for Semiconductors (ITRS) 2013.
Materialized view selection problem using genetic algorithm for manufacturing execution system
Authors: Mohd Yusoh Z I , Gan K B , Emran N A 
Published: June 2020

Abstract
Nowadays, a lot of equipment and machines in factories generating a high volume of production data at high speed which are then stored in a data warehouse. These data are used for analytic reporting purposes, to assist the decision-maker in strategizing their business. To speed up the report generation queries, materialized views (MVs) are used. An MV is a database object that contains the results of a query. However, each MV has different query time and maintenance cost. Therefore, it is crucial to select the best set of MVs in order to generate the report while minimizing the incurred cost. Genetic Algorithm is proposed to find the best set of MVs with minimum cost and time, and at the same time maximizing the number MVs selected. Experimental results demonstrate that the proposed GA delivered better solutions compared to the conventional approach
Beyond Nernst Sensitivity of Ion Sensitive Field Effect Transistor based on Ultra-Thin Body Box FDSOI
Authors: Zain A S M , Dinar Ahmed M. , Salehuddin F , Hazura H , Hanim A R , Idris S K , Hamid Afifah Maheran A 
Published: June 2020

AbstractThis paper reports an ultrahigh-sensitive ISFET sensor that is developed using TCAD model of the industrial 22-nm ultrathin body and buried oxide (UTBB) fully depleted silicon-on-insulator (FDSOI) transistors. The modeling method is exploited by changing the potential surface charge depending on the electrolyte pH change and investigating how will it cause the threshold voltage shift of ISFET device and other transfer characteristic parameters. The properties of a user-defined material offered by Silvaco are exploited to simulate the electrolyte behavior. The parameters of silicon semiconductor material (i.e., energy bandgap, permittivity, affinity, and density of states) are set to reconstruct an electrolyte solution. The electrostatic solution of the electrolyte area is investigated by giving a numerical solution for the semiconductor equation inside this area. On the other hand, the strong electrostatic coupling between the front gate and the back gate of FDSOI devices provide an intrinsic signal amplification feature for sensing applications. Utilizing a layer deposited Titanium dioxide (TiO2) as a pH sensing film, pH sensors having a sensitivity ∼1250 mV/pH is reported. The small sensing area and the FDSOI-based technology of the device make the sensors ideal for the IoT market.
Unhealthy skin analyzer for mobile platform using Canny Edge Detection and Similarity Score
Authors: Zulhelmi Z , Zulfikar Z , Arif T Y , Afdhal A , Syawaldi P N 
Published: June 2020

Abstract
The increasing use of mobile platforms for detecting a disease challenge the researcher for designing a more efficient application than previously. Skin diseases can be recognized visually by an expert. However, the diseases are often ignored, especially by they who live in the remote area. For this reason, it requires a system worked solely independent of medic expert through a simple device like a smartphone. The study designs a system for detecting the healthiness of skin through its image. The proposed design is the improved model of the previously published work. The system requires suspected unhealthy and reference images. Both images will be compared after passing the edge process. The result is displayed on the platform containing a suggestion for the user to have medical treatment. For detecting the skin diseases accurately, an adjustment in the edge process and comparing process (similarity check) is required. Based on the experiment, a suitable threshold for edge detection are 0 for low and 50 for high. Regarding the edge process, a suitable similarity threshold will be estimated. The similarity threshold that suits to the designed application is 6. Lastly, the decision making to determine the healthiness of an image is 45.35%.
Used of Motion Graphics to Create Awareness on Handling Stress
Authors: Azahari Nur Azila , Ali Wan NorAshiqin Wan , Yaakob Tengku Kastriafuddin Shah Tengku , Manaf Abdul Rahman Abdul , Yusoff Nur Ilya Khairanis Mohamed 
Published: June 2020

Abstract
The development of the interactive motion graphic is to spread awareness to the people about the correct ways to handle stress. This is because many people face stress in daily life, but they do not know the correct way to manage stress. An interactive motion graphic is used as the medium because it is easy to understand and can attract the viewers’ attention. The model used to help develop this product is Alessi and Trollip Model. The model contains 3 phases which are planning, design and development phase. Alpha test is conducted to test the effectiveness of the product and to make sure that the objectives of the project are achieved. The test is conducted by interviewing a multimedia expert, a content expert and 5 users which are students that reside at KolejKediamanTuankuFauziah (PFi2). The results obtained from conducting this test were positive as the feedback from the users suggests that the information given in this video is relevant and useful thus, help them to manage their stress. In conclusion, the development of this product can help people manage their stress.
The Effects of Focus Attention Instructions on the Movement Kinetics, Muscle Activation and Performance during Resistance Exercise
Authors: Nadzalan Ali Md , Lee Jeffrey Low Fook , Mohamad Nur Ikhwan , Azzfar Mohamad Shahrul , Malek Nor Fazila Abd , Waqqash Ebby 
Published: June 2020

Abstract
The aim of this study was to compare kinetics, muscle activation and performance during resistance exercises between internal focus attention instructions, external focus attention instructions and control condition. Thirty (n = 30, mean age = 21.40 ± 0.93 years old) healthy men were recruited as participants and were asked to perform resistance exercises in three conditions; i) internal focus, ii) external focus and iii) control (no focus attention instruction). Participants performed 10RM squat and deadlift assessment in which kinetics, muscle activation and number of repetitions completed were recorded and analyzed during the exercises. Findings of this study revealed that external focus attention instruction produced greater force production and number of repetitions completed while at the same time lower muscle activity compared to the internal focus conditions. To conclude, external focus attention instructions were suggested to be adopted during resistance training due to its effectiveness to make movement more economic while producing greater performance in which will be more advantages for future adaptations.
Effects of Nitrogen Ion Implantation on Microhardness and Surface Roughness of Ti-6al-4v Eli Medical Alloy
Authors: Abdul Jamil M.M. , Abd Wahab M.H. , Soon C.F. , Pasko K. , Youseffi M. 
Published: June 2020

Abstract
Total Knee Replacement has been under development for over 50 years. Its primary objectives are for normal articulation of a diseased joint, to relieve pain and restore function. Over the years three main surgical types of alloys have been used: 316L stainless steel, titanium and cobalt-chrome based alloys. Titanium, despite its superior biocompatibility, closest to bone’s Young’s modulus and lack of nickel in its composition, has poor resistance to wear. This major disadvantage of titanium alloys is the reason for which their use in load bearing prostheses is limited. Various methods of surface modifications have been investigated in order to improve wear performance by improving mechanical and tribological properties of medical grade titanium alloys. In this work, the effect of nitrogen ion implantation on micro- and nano-hardness and surface roughness of medical grade titanium alloy (Ti6Al4V ELI) has been investigated, and compared to those of unimplanted Ti6Al4V ELI, cast and wrought CoCrMo alloys. Due to the formation of a smooth and hard nitride layer on the surface of the ion implanted Ti6Al4V ELI alloy significant improvement in micro- and nano-hardness was achieved. This hardened layer is thought to improve the wear resistance of Ti-based alloys and hence can maximise their use for more demanding prosthetic applications.