bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining Deep Neural Network and Fourier Series for Tourist Arrivals Forecasting
Authors: Shabri Ani , Samsudin Ruhaidah , Yusoff Yusliza 
Published: July 2020

Abstract
Accurate tourist arrivals forecasting is essential for governments and the private sector to formulate policies and allocate funds more effectively. In this paper, the modeling of tourist arrivals time series data was introduced in a hybrid modeling that combines the deep neural network (DNN) with the Fourier series method. The proposed model approach applies the DNN to get the forecasted value and then employs the Fourier series to fit the residual error produced by the DNN. To verify the accurate prediction of the proposed model, different single models such as ARIMA, ANN and DNN, and modified ARIMA and ANN models using Fourier series are investigated. Historical data on monthly tourist arrivals to Langkawi Island with high trend and strong seasonality is used to compare the efficiency of the proposed model. A series of studies demonstrates that the performance of the single model can be further improved by taking into account the residual modification by Fourier series. The result shows that the proposed model is capable of forecasting tourist arrival series with higher reliability than other models used.
Effects of Mixture Biochar-Fertilizer With and Without Tableting on The Soil Chemical Characteristics
Authors: Yit Leng Lee , Haruna Ahmed Osumanu , Abdul Wahid Samsuri , AB Aziz Zakry Fitri 
Published: July 2020

Abstract
Application of biochar together with fertilizer is a promising strategy to minimize the loss of nutrient through surface runoff and leaching from agricultural field. Biochar has high surface area and can retain nutrients. Despite its advantages, low density of biochar leads to difficult in transporting, handling and mode of application. Our hypothesis is the densification of biochar with fertilizer could reduce transportation and handling costs and minimize loss of nutrient during soil application. Hence, the aim of this study was to determine the effects of mixture biochar-fertilizer with and without tableting on the soil chemical characteristics. There were four fertilization treatments including the control T1 (Soil), T2 (NPK), T3 (Biochar + NPK) and T4 (Biochar tablet embedded with NPK). Mineral clay soils were used and planted with maize. The soil chemical properties were determined for pH, electrical conductivity, total nitrogen, available phosphorus, exchangeable potassium and cation exchange capacity after 53 days planting. The application of biochar tablet embedded fertilizer to soil shows the highest total nitrogen, cation exchange capacity and lower available phosphorus after 53 days planting. The results suggest that the biochar tablet embedded with fertilizer is more efficient to minimize the losses of nutrients in soil.
Proposed Scheme of TCP-Friendly Rate Control (TFRC) for Real-Time Data Application
Authors: Izril Ishak Mohamad , Mahani Abdullah Wan , Maulid Ahmad Ainul , Bi Lynn Ong 
Published: July 2020

Abstract
This project proposes a scheme of TCP-Friendly Rate Control (TFRC) for transmitting real-time data application. Traditionally, real-time data transmission has been accomplished over the user datagram protocol (UDP). The challenging issues of using Transport Control Protocol (TCP) are restrictive bandwidth and lagging. Additionally, it is widely known that TCP is ill-suited to real-time multimedia streaming application. Having known these issues, this project aims to study the possibilities for improvement of real-time data application using TFRC which is designed for long-lived streams. As known, there are many advantages of TFRC, which are congestion control and guaranteeing the required throughput. Therefore, this project explores and proposes the advantages of TFRC in transmitting and receiving real-time data. It is proposed that the investigation of TFRC in real-time data is conducted using simulation technique. During the simulation, the developed model is representing the real-time application for analyzing the performance of modified TFRC. The modified TFRC mechanism is introduced as TFRC proposed scheme and evaluated through the simulation experiment. The simulation study of this project is to analyze and evaluate some parameters of existing TFRC mechanisms. The performance analysis and simulation experiment show that the proposed scheme performs better compared to the other mechanisms involved. Finally, this study has possibilities of the ongoing work to be carried for implementing in wireless environment and IPv6.
Relay Sensors Selection in Wireless Communication: Bit Error Rate Analysis
Authors: Abdulmohsin Hammood Dalal , Alkhayyat Ahmed 
Published: July 2020

Abstract
Cooperative communication system, which make use of the intermediate relays between the transmitter and the receiver, have been employed as an effective technique to combat the channel fading and to enhance system performance. Cooperative systems have some drawbacks such as high latency and diversity order not guaranteed. To alleviate the negative effects of these factors, relay selection protocol is employed in cooperative communication systems to increase overall cooperative system performance. Relay selection in the cooperative systems enables the source to cooperate with the single relay node rather than multiple relay nodes which guaranteed the diversity order.
Defining and Developing Measures of Lean Sustainability for Manufacturing Sector
Authors: Azim Azuan Osman , Abdul Aziz Othman , Rahim Mohd Kamarul Irwan Abdul 
Published: July 2020

Abstract
Toyota Manufacturing Company revival after World War II and its survival during 1973 global oil crisis had inspired many manufacturing organisations around the world to initiate lean transformation. However, due to lack of clear understanding of the lean sustainability concept, many manufacturers are unable to fully transform into a true lean organisation like Toyota. In fact, without a proper measurement, the organisation’s transformation progress will be unknown and the specific gains made from lean improvement cannot be monitored. Hence, it will result in wrong strategy deployment in the lean transformation program. This paper therefore aims to theoretically define Lean Transformation Sustainability and propose set of indicators for measuring this concept. A myriad of literature related to theory and practices of lean manufacturing was studied to better understand this concept. The methodology adopted to better understand Lean Transformation Sustainability concept was based on steps to success in writing literature review by Machi and McEvoy. Apparently, Lean Transformation Sustainability can be measured in three dimensions; (1) lean elements momentum, (2) lean culture adaptation, and (3) enduring success. At the end of this article, the authors recommend several opportunities for future research that can be used for adding literature to lean body of knowledge.
Influence of Filler Loading and in Situ Salicylic Acid Treatment on Corn Husk Fiber Filled Poly(Hydroxybutyrate-Co-Valerate)
Authors: Nuraqmar Syed Mahamud Syarifah , Hikmah Abdullah Nurul , Hanif Mohd Pisal Mohd 
Published: July 2020

Abstract
The effect of filler loading and in situ salicylic acid treatment on the mechanical properties and morphology of poly(hydroxybutyrate-co-valerate)/corn husk fiber (PHBV/CHF) biocomposites was studied. Both untreated and salicylic acid treated PHBV/CHF biocomposites were prepared by using heated two roll mill followed by compression moulding. It was found that the addition of CHF to PHBV biocomposites increased the tensile strength and Young’s modulus while the elongation at break decreased. Salicylic acid treated PHBV/CHF biocomposite display superior tensile strength and Young’s modulus than untreated PHBV/CHF biocomposite due to the enhanced filler–matrix interaction. The better interfacial adhesion between CHF and PHBV matrix was confirmed through scanning electron microscope (SEM) analysis.
Design and Development of Two-stage Low-noise Amplifier (LNA) using E-pHEMT Technology for C-band Application
Authors: Kamsaini Faaiqah , Shahrazel Razalli Mohammad , Zuraidah Ibrahim Siti , Zaizu Ilyas Mohd 
Published: July 2020

Abstract
The low-noise amplifier (LNA) is a vital part of the radio frequency (RF) transceiver system. It amplifies weak signals with minimal distortion. The LNA performance is mainly determined by its noise figure (NF), gain, and power consumption. In this paper, the design of a 6 GHz low-noise amplifier (LNA) using enhancement-mode pseudomorphic high-electron-mobility transistor (E-pHEMT) technology is presented. In order to attain high gain with low S-parameters losses, a two-stage LNA configuration with single-stub matching is devised. The same bias conditions are applied to both of the LNA stages, V
DS = 2.7 V and I
DS = 10 mA. The LNA design is simulated and optimised by using electromagnetic (EM) software. To further improve the overall LNA performances, high impedance inductors and series resonators are implemented into the circuit. Simulated results of the designed LNA indicate a power gain, S
21 of 25.2 dB and NF of 2.4 dB at 6 GHz with 27 mW dissipation per stage. The circuit layout is fulfilled with an E-pHEMT technology (ATF-55143) on the FR4 substrate. The LNA is powered by a 3 V DC power supply.
A Review of Geopolymer Based Metakaolin Membrane as an Effective Adsorbent for Waste Water Treatment.
Authors: Ibrahim Masdiyana , Mastura Wan Ibrahim Wan , Mustafa Al Bakri Abdullah Mohd , Syauqi Sauffi Ahmad 
Published: July 2020

Abstract
Geopolymer-based products help eco-accommodating sources of materials such as metakaolin, slag or fly ash. This review explores the blend configuration to generate geopolymer-based metakaolin membrane metakaolin and to evaluate the impact of a range of geopolymer-based metakaolin sintering temperatures at a temperature of 50 °C, 60 °C, 70 °C and 80 °C. As the quick development of a modern culture contributes to a large increase in interest in water, adsorption is taken closer to examined waste water extraction of the adsorption and repulsion of a metakaolin membrane geopolymer. Membrane waste water treatment is chosen to explore simple and inorganic membrane preparation techniques that have long help lives and low production costs. Reviews for geopolymer-based metakaolin membrane were therefore synthesized via a suspension that depends on the quick solidification method of high temperature suspension geopolymer slurries that were used as an adsorbent for treating waste water. Porous geopolymeric spheres have developed a homogenous structure with the aid of electron microscopy and Brunauer Emmett Teller (BET) investigations.Since permeable materials are regularly adsorbents, this examination has analyzed the adsorption by membrane geopolymers of heavy metals. This finding will advance the formation of improved wastewater treatment systems and along these lines give an elective answer for ecological harm brought about by substantial metal contaminations. Along these lines, molar (SiO2/Na2O) ratio of metakaolin and sodium silicate are fundamental in assembling a sort of geopolymer-based inorganic membrane which does not require a high temperature sintering process. Adsorption and dismissal consolidated can be utilized for wastewater auxiliary electrical plating forms not exclusively to proficiently wipe out center and low groupings of overwhelming metals in wastewater yet in addition to wipe out little sub-atomic contaminants in wastewater.
Image Segmentation using k-means Clustering and Otsu’s Thresholding with Classification Method for Human Intestinal Parasites
Authors: Ayunie Ahmad Khairudin Norhanis , Shamimi Rohaizad Nurfatin , Salihah Abdul Nasir Aimi , Chee Chin Lim , Jaafar Haryati , Mohamed Zeehaida 
Published: July 2020

Abstract
Helminth is one of the intestinal parasites that may cause harm and death to human. It is very important to have a system that is capable of assisting the technologist in investigating of fecal samples. In this paper, an automatic classification process is proposed to detect the different types of helminth eggs from fecal samples by using image processing technique. 50 samples of Ascaris Lumbricoides Ova (ALO) and Trichuris Trichiura Ova (TTO) are tested. First, these images undergo partial contrast stretching (PCS) technique to enhance the target images. Next, RGB and HSV color model have been compared in order to identify which color component is able to ease the segmentation process. S component shows a good results with high contrast between the target and the unwanted region. Then, Otsu’s thresholding and k-means clustering are compared in order to to select the most suitable image processing method to be used in classification procedure. k-means clustering shows a better results compared to Otsu’s thresholding. In classification process, area and size have been chosen as the feature to extract for the classification. The ratio for successfully detected ALO species is 84% while TTO is 76%.
The effect of the GNP-SDS loadings on the properties of the NRL/GNP-SDS composites
Authors: Che W.M. , Teh P.L. , Jalilah A.J. , Yeoh C.K. 
Published: July 2020

Abstract
Stretchable conductive polymer composites (CPC) are fabricated by incorporating the conductive particles into the polymer matrix. In this paper, CPC was fabricated by incorporating the sodium dodecyl sulfate (SDS) modified graphene nanoplatelet (GNP) into natural rubber latex (NRL) by varying loading from 0phr to 9phr using a simple mechanical stirring method. The effect of the GNP-SDS loadings on the properties of the composites were study by investigated the crosslink density, tensile properties, morphology of the tensile fracture surface and electrical conductivity. The crosslink density of the composites shows a decreased trend. Then, due to the well dispersed GNP-SDS, the tensile strength increased but decreased at high filler loading caused by the agglomeration issue. The tensile modulus also increased with increasing filler loading due to the intrinsic high modulus of GNP and the reduction of chain mobility. However, the electrical properties of the composites improved as GNP-SDS loading increased and achieved a percolation threshold at 7phr.
Printing Parameter Optimization of Biodegradable PLA Stent Strut Thickness by using Response Surface Methodology (RSM)
Authors: Asyraf Azli Amirul , Muhammad Noorhafiza , Mustafa Abdullah Albakri Mohd , Fathullah Ghazali Mohd , Zamree Abd Rahim Shayfull , Andrei Victor Sandu 
Published: July 2020

Abstract
This work presents printing parameter optimization of 3D printed biodegradable PLA stent. This study is motivated by a gap in current knowledge in 3D printing of stents identified in an extensive literature review. With the demand of coronary artery stents rising every year, the stent production demands a higher quality, lower cost, faster and economical process. Due to its availability relatively low-cost price and adaptability, PLA has been identified for an ideal material for biodegradable stents. Previously, laser micromachining was widely used for processing coronary stent. The emerging of 3D printing process has gained attention for its low cost, high reliability, simple operation and flexibility has shown potential as promising solutions in stents fabrication. The use of 3D printing for stent manufacturing purpose is newly emerge and not widely reported. Up to now, less research has been conducted on 3D printed PLA coronary artery stents. This work therefore, aims to study the relationship of the 3D printing processing parameter towards stents quality. Strut thickness become the key aspects in stents manufacturing. Processing parameter optimization was performed by using Response Surface Methodology (RSM). Nozzle temperature and printing speed were both effecting the strut thickness formations regardless of printing orientations.
The Dielectric Characterization of Tapioca Starch – Ha Tissue Scaffold
Authors: Fazli Mohd Nasir Nashrul , Ee Meng Cheng , Jamal Nurathirah , Riza Mohd Roslan Mohd , Aerina Fitri Mohd Hoři Nur , Chong You Beh , Jusoh Muzammil , Azizan Mokhzaini , Zakimi Zakaria Mohd , Farid Abdul Khalid Mohd 
Published: July 2020

Abstract
Tapioca starch-hydroxyapatite (HA) composites scaffold was fabricated using solvent casting and particulate leaching. The solvent casting involved the casting of polymer while particulate leaching involved the removal of porogen agent. The percentage of tapioca starch used were 50%, 60%, 70%, 80% and 90%, with the percentages of hydroxyapatite (HA) were set as 50%, 40%, 30%, 20% and 10% respectively. Here, sodium chloride was used as a porogen agent. SEM analysis was conducted to determine the micro structural of the scaffold surface. Based on the results, the pore size of composite scaffold is between ranges of 198 µm to 786 µm. For the dielectric study, the dielectric constants (D’) and dielectric loss factor (D”) over frequency range from 12.4 GHz to 18.0 GHz were obtained by transmission line method. Based on the result, both dielectric constant (s’) and dielectric loss factor (s”) was declined with the increment of the frequency.
Dielectric Properties Measurement and pH Analysis for Drinking Water
Authors: Fwen Hoon Wee , Been Seok Yew , Ping Jack Soh , Yeng Seng Lee , Oon Keng Lee 
Published: July 2020

Abstract
Every material has its own dielectric properties and it is also the same for water. In this research, dielectric properties measurement on water will be done to examine the water quality of drinking water whether it is safe to drink or not. Water quality in Malaysia, as well as access to water in general, is a major problem. The primary pollutants present in the water are oils, rubbish, suspended solids, sewage and toxic substances. These are consequences of untreated or only partially treated sewage caused by human activities. Thus, water quality in Malaysia is currently of some concern. The normal drinking water pH range mentioned in World Health Organization (WHO) and National Drinking Water Quality Standards (NDWQS) guidelines is between 6.5 and 8.5. The water may contain some residue even though the pH is in the range of 6 to 7.5 so it does not prove that the water is safe enough for drinking purpose. Thereby, the analysis about the water quality using the specific measuring instruments need to carry out to prove that the water in neutral pH may not be safe to drink as the pH does not prove the content of the water as clearly as dielectric properties. High Temperature Coaxial Probe as the dielectric properties measurement sensor will be used to provide better information compare to pH. The measurement parameters that had been used to determine the water quality is the dielectric constant. The results obtained from both pH and dielectric properties measurement values are been analyzed and compared and it shows that pH value for clean and contaminated water is at almost similar values while dielectric properties results show different for both clean and contaminated water.
Potential of Syntesized Silica Nanoparticles (Si-NPs) using Corn Cob for Arsenic Heavy Metal Removal
Authors: Balasubramaniam Thanaseelan , Bakar A.H.A , Uda M.N.A. , Hashim Uda , Parmin N.A. , Anuar Aminudin , Bakar M.A.A. , Afnan Uda M.N. , Sulaiman M.K 
Published: July 2020

Abstract
According to recent studies, millions of people are suffering from Arsenic (As) toxicity contamination. Arsenic is one of the most toxic and carcinogenic chemical elements and its contamination in paddy field has become a chronic problem. In the agricultural sector, arsenic-contaminated water irrigation has a higher level of arsenic contamination on the top soil, which can affect the quality of crop production such as rice plants. Rice plant requires a considerable amount of water to complete its lifecycle. In Asean countries like Malaysia, Indonesia and Thailand, Arsenic intake from rice is significantly higher, as rice plants have a special ability to take up arsenic from the soil and water used for irrigation. The transfer of arsenic from soil to plant systems is a serious issue that leads to considerable human exposure. Nanotechnology application plays vital role for any field work and research. In this research, the implementation of nanotechnology approach such as silica nanoparticles are able to remove the Arsenic heavy metal contamination. This paper focused on arsenic heavy metal removal using silica nanoparticles analaysed using spectrophotometric method.
The Effect of Multi-staged Swirling Fluidized Bed on Air Flow Distribution
Authors: Nawi M. A. M. , Ikman Ishak Muhammad , Rosli M. U. , Musfirah Musa Nur , Nor Azreen Ahmad Termizi Siti , Khor C. Y. , Faris M. A. 
Published: July 2020

Abstract
Fluidization is characterized as an activity that transforms fine solids into a liquid-state via contact with either a gas or a liquid. Currently, Swirling Fluidized Bed (SFB) is one of the new system that contribute on flow mixing to the beds due to the gas source which impart on the solid particles. Further the fluidized beds system are used mostly in the chemical process industry, mineral processing, processes energy and etc. Based on the current fluidized bed system there are still lacking in reducing high pressure drop and keep the energy consumption at high efficient condition. Due to this tips, the conceptual design of a multi-stages SFB was proposed to improve fluidization quality and minimize elutriation at the same time without requiring any extra facilities. By using the simulation method (Ansys Fluent) the behavior of velocity component via selected configuration of fix blades number (30) and through to variant of blade horizontal inclination angle (10°, 12° & 15°) the multi-stage SFB will be investigate. Aims of this study is to identify the air flow behavior at first and second stage blade distributor. Therefore, effect with less blades number in producing on high uniformity velocity would be acquired. The present study has found that by using blade inclination angle of 10° the high velocity magnitude (more than 60 m/s) at two different level of stage distributor can be reached. Moreover, it clearly be seen at blade inclination angle, 15° the velocity uniformity was sustain at certain width and less superficial velocity value occurred compared to other configurations.
Non-Oriented Electrical Steel Sheet: The Magnetic Properties Losses on Thickness Lamination Using Epstein Tester Frame
Authors: Binti Yahya Yanawati , Khairil Rahmat Mohd , Shariffuddin N. S. 
Published: July 2020

Abstract
Reducing lamination thickness of steel sheets can reduce the overall loss especially in core loss and copper loss. These research paper shows the impact of lamination thickness on the voltage induced of power loss for the Non-Oriented Electrical Steel Sheet. This study was conducted by using Epstein test which is an outflow of flux investigated throughout the measurement of power loss at corner and limb likewise for each thickness. This data shows and is presented based on different frequency such as 45 Hz, 50 Hz and 55 Hz. It indicates that 0.50 mm lamination thickness has a lot of losses instead of 0.35 mm.