bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Implementation of an IoT-based River Water Salinity Monitoring System Using MSP432
Authors: Truong Tuyen Phong , Nguyen Duc Thanh , Huynh Thuc 
Published: June 2021

Abstract
The drought and salinity intrusion in the Mekong Delta in the years has become more and more serious, but in this region, the system automatically measures and collects water salinity data at either the river mouths or the canal has not been deployed and used widely due to the high investment cost. The goal of this study is to design a monitoring and data acquisition on river water salinity based on the IoT (Internet of Things) technology. The sensor nodes are designed by using the Texas Instruments MSP432 microcontrollers to read data from sensors such as water level, temperature, and salinity. This information is encapsulated and then send to a gateway via a LoRa network. The gateway uses the Raspberry Pi 3 B+ board allowing to receive the data from the sensor nodes and upload data to the cloud server through the Internet connection. A webpage is designed to offer everyone to observe measured parameters rapidly so that the people can take a proactive plan to take water for domestic use and production activities. An experiment to evaluate the performance of our proposed system was carried out in Soc Trang province, Mekong Delta, Vietnam with initial positive results.
Preliminary Studies on Circular and Square Loop Antenna Design for Partial Discharge Detection
Authors: Affendi N. A. M. , Amirruddin M. 
Published: June 2021

Abstract
The objective of this study was to design and compare the performance of geometrical shape circular loop antenna and square loop antenna towards partial discharge (PD) detection. PD is an early stage of fault occurs before major breakdown may due to electrical insulation failure, natural disaster and mis-operation. The electromagnetic (EM) signal radiated from PD event was measured and analyse over a range of frequency 300 MHz – 3 GHz. A circular and square loop antennas were modeled using CST Microwave Studio software based on the PD’s characteristics. The loop antenna parameters such as circumference, radius and end to end gap were varied accordingly to assess the effect of return loss and radiation pattern. The results revealed that the circular loop antenna had the greatest influence towards PD detection.
Simulation analysis of a 3.37 MW PV system using bifacial modules in desert environment
Authors: Samer Raed Abdullah Ba , Ismail Baharuddin Bin , Abdullah Ahmad Zaidi , Ali Izzulsali Md 
Published: June 2021

Abstract
This study is conducted to investigate the performance of bifacial solar PV with high albedo in desert regions. High amount of radiation falls on the Arabian Peninsula where there is an average amount of 2200 kWh/m 2 annually and needs to be utilize as much as possible to get higher amount of energy. A 3.37 MW system is simulated by PVsyst software using two different scenarios which the first is without an axis tracker while the other is with a dual axis tracker to track the sunlight from all directions. When the tracking system is not included the yearly energy production set to be 6684 MWh/year where the system is simulated at a fixed mounting at a single direction facing the south at an optimum tilt angle of 25?. On the other hand, when the tracking system is set to be dual trackers at a minimum tilt angle of 0? and maximum tilt angle of 80? vertically, and minimum azimuth angle of -120 and maximum azimuth angle of -120? horizontally. There annual energy production is set to be 8897 MWh which has a gain of 25% using bifacial solar module with tracking system which can add a value to the solar PV projects and decrease the levelized cost of energy (LCOE).
The Influenced of Different Magnetization Patterns on the Performance of the Semi-buried Permanent Magnet Synchronous Machine
Authors: Mohd-Shafri Syauqina Akmar , Sani Muhamad Haniff , Tiang Tow Leong , Ishak Dahaman , Ahmad Mohd Saufi , Leong Jenn Hwai , Tan Choo Jun , Ong Hui Lin 
Published: June 2021

Abstract
The performance of semi-buried permanent magnet synchronous machines (SBPMSMs) by the influence of two magnetization patterns are presented in this paper. These magnetization patterns include radial and parallel, which applied into 9-slot/8-pole (9s/8p) and 6-slot/4-pole (6s/4p) SBPMSMs. Hence, to evaluate the machines performance, AutoCAD and Opera2D finite element software are used to model and predict the electromagnetic characteristic performance of SBPMSMs. Two PM machines are optimized i.e. flux density distribution, phase back-EMF, and cogging torque by two magnetization patterns. The phase back-EMF of the machines are computed into harmonic components to investigate the total harmonic distortion (THDv
). It is found that the lowest THDv
for both 9s/8p and 6s/4p motors are in parallel magnetization (PaM), which are 8.66% and 3.98%, respectively. However, the lowest cogging torque for 9s/8p is radial magnetization (RaM), which is 0.0101 Nm and for 6s/4p is 0.1730 Nm with parallel magnetization pattern. By comparing the result of the optimum magnet pole arc for both motors, the 6s/4p motors show the minimum cogging torque and harmonic distortions are 0.16 Nm and 1.63% in PaM patterns. As a result, optimum motor performances among these two motors are 6s/4p PM motors with PaM pattern.
Maintenance Plan Based on TPM for Turbine Recovery Machinery
Authors: Lozada-Cepeda José Antonio , Lara-Calle rés , Buele Jorge 
Published: June 2021

Abstract
The maintenance and repair of the components of hydroelectric turbines require the use of specialized equipment. To keep these teams operational, it is proposed to design a master plan in order to develop a TPM philosophy for a vertical turning lathe. This project develops five of the twelve steps established by JIPM for the TPM implementation. This paper also provides the necessary documentation for 5S and autonomous maintenance applications. Also, some safety, health and environmental suggestions are provided. PM activities are chosen based on RCM techniques like CA and FMEA. And predictive maintenance activities are established following ISO 3655, 2006. All these activities including automotive maintenance ones are organized and scheduled. Finally, OEE rate is applied to the lathe to identify the principal losses on the machine. After applying this proposal there is an increase of 27.84% and 39.71% in availability and performance respectively. The OEE calculation has increased by 29.97%, thereby motivating readers to implement this methodology in other industries.
Fault Detection Analysis for Three Phase Induction Motor Drive System using Neural Network
Authors: Mohar N A , Che Mid E , Suboh S M , Baharudin N H , Ahamad N B , Rahman N A , Ruslan E , Hadi D A 
Published: June 2021

Abstract
One of the most important components of the industrial process is known to be the three-phase induction motor. This device, however, is prone to electrical and mechanical faults, which may cause a substantial component or financial losses. The fault analysis received growing attention due to a need to increase reliability and to decrease potential output loss due to machine breakdown. Thus, the purpose of this paper is to present a simple and reliable fault analysis based on the Neural Network (NN) is proposed. The NN method is a simpler approach without a diagnostic professional to review data and diagnose issues. Various fault disputes of induction motor are developed and analysed using the NN method. The main types of faults considered are over-voltage, under-voltage, and unbalanced voltage faults. The trained network is tested with simulated fault current and voltage data.
Arcing fault diagnosis using first peak arrival of EM radiation signal
Authors: Amirruddin Melaty , Adzman Mohd Rafi , Affendi Nur Adyani Mohd , Azmi Azralmukmin , Idris Muhd Hafizi , Halim Hana Abdull , Isa Muzamir , Halim Syahirah Abdul 
Published: June 2021

Abstract
The objective of this study was to diagnose the arcing fault signals based on the first peak of arrival method using antenna to assess its use as potential arcing fault detection in power system network. Square patch antenna and circle patch antenna were employed for detection on artificial arcing in real environment. First peak of arcing signal arrival was measured through an analysis over a range of time and amplitude signals detected. For accurate results, Discrete Wavelet Transform (DWT) denoising technique was applied to the arcing signals detected as denoising tools. Analysis of first peak of signal arrival time and amplitude were carried out using MATLAB software to measure the changes in signals detected caused by di different placements of antenna. The results revealed that the first peak of signal arrival time, amplitude, type of antenna used and placement of the antenna around arcing source point all reflect the signals measurement.
A Decade of Soft Computing Approaches in Power System Investment Planning
Authors: Yaakob S B , Rahman A S F , Mukhtar N M , Yaakob M N , Arbaiy N , Lin P-C 
Published: June 2021

Abstract
This paper opens up an issue regarding to power system investment planning. In order to obtain a sustainable electricity supply, the power outage should be minimized. Maintenance cost plays as an essential element in investment planning, therefore misdirect investment should be avoided. Since soft computing can solved this problem, this paper offers a review in solving investment planning problem through such approaches. The main objective of this paper is to examine the concept and findings by the researchers in power system investment planning problem. Besides, this paper will highlight the most relevant contributions and limitations that can be improve in the other research. Finally, this paper will be pointed out some trends in power system investment planning problem.
Comparative Study of Thermal Energy Harvesting on Agricultural Soils using Thermoelectric Generator (TEG)
Authors: Saharun I F , Saudin N , Mohamed M A , Jamel N , Mohamed H 
Published: June 2021

Abstract
Thermal energy harvesting system using a thermoelectric generator (TEG) can operate low voltage devices up to 5 V. The TEG will act as a small electric generator from the temperature difference obtained from two different conditions. Soil is an excellent source to get a more considerable temperature difference. The ground has a much lower temperature than the ambient as the solar radiation cannot penetrate deeply into the soil. Agricultural soil with a different type of plant has been chosen as the source in this study as the different soil composition will provide a different temperature gradient. The temperature gradient was measured from the surrounding and the soil. The highest energy harvested and generated were measured and compared between different types of agricultural soil. The results lead to a finding of a lot of other factors influencing the efficiency of the energy harvesting tools and the voltage generated from different types of soil. It shows that the hot surrounding with colder soil temperature gave a promising result.
Output Power Maximization of DFIG Wind Turbine using Linear MPC Technique
Authors: Suboh S M , Hassan M S , Baharudin N H , Ananda-Rao K , Ahamad N B , Che Mid E , Othman M , Sardi Junainah 
Published: June 2021

Abstract
Wind energy conversion systems have been attracting wide attention as a renewable energy source. To extract maximum energy from the wind turbine, an efficient controller plays an important role. The target of this paper is to develop a Linear Model Predictive Control (MPC) to maximize power production according to wind speed. Firstly, the DFIG wind turbine model was linearized at a specific operating point by using the Jacobian method. The MPC then was developed based on the linearized model where wind speed equal to 8 m/s is chosen as its operating area. The controller was tested to deal with different wind speed. A presence of a certain range of wind speed errors was included to evaluate the controller efficiency. Numerical simulation was done by using MATLAB software. The proposed controller has shown great performances when within its operating area but downgraded when moving away from its operating area. Imprecise wind speed measurement has shown a significant impact on the controller efficiency.
Classification of imbalanced data using support vector machine and rough set theory: A review
Authors: Ibrahim H , Anwar S A , Ahmad M I 
Published: June 2021

Abstract
The performance of machine learning classifier such as support vector machine (SVM) degraded by the nature and structural construct of real-world data which is in most cases are imbalanced. The accuracy and decision making typically biased towards majority class and this significantly affect the result of the classification of minority class. Nevertheless, dataset does not always comprise of significant attributes even with large number of points in certain class, but rather it could potentially lead to redundancy and irrelevant features. Rough set (RS) theory is a mathematical tool for tackling ambiguity and removing redundancy in the dataset. This can further help the classification system in improving its accuracy of the prediction for both majority and minority class. Commonly, RS theory was utilised as a preprocessing method to bring about the knowledge, association rules, or potential patterns in the data. The output of RS theory is a reduced set of attributes which contains same indiscernibility as the original dataset. Hence, the focus of this paper is a review of literature and findings on the classification strategy which employs SVM and RS as a combined system to solve the problem of imbalanced data.
Palmprint features matching based on KAZE feature detection
Authors: Khalid Noor Aldeen A. , Ahmad Muhammad Imran , Mandeel Thulfiqar H. , Isa Mohd Nazrin Md 
Published: June 2021

Abstract
Palmprint is very popular biometric recognition system that is able to guarantee high accuracy. It has attracted increasing amount of attention because palmprints are abundant of many characteristics, such as the principle lines, ridges, minute points and textures for the use of images with low resolution. In this paper we propose palmprint feature detection based on KAZE technique. Palmprint texture has many important points for discrimination process. Selecting the best number of point using KAZE is very important for classification process in order to avoid overlapping features in different class. The experimental work has been done using polyU palmprint database in order to evaluate the best number of features.
A Deep Feedforward Neural Network Model for Image Prediction
Authors: Lee C.C. , Rahiman M.H.F , Rahim R. A. , Saad F. S. A. 
Published: June 2021

AbstractDeep learning is a sub-field of machine learning, which inspired by the structure of human brain where it is composed with a lot of neurons that each of them able to perform a simple operation and interact with each other to make a decision. In recent years, deep learning has grown exponentially and have brought revolutionary advances in computer vision-based applications such as image classification, object detection, simultaneous localisation and mapping (SLAM), action and activity recognition, age estimation as well as human pose estimation. Based on the literature review, deep learning techniques applied in the vision-based application such as Convolutional Neural Networks (CNNs), Restricted Boltzmann Machines (RBMs), Autoencoder and Sparse Coding mostly focused on solving the feature extraction and classification problems. However, these techniques do not apply to the image processing applications such as image fusion and image reconstruction that require a quantitative knowledge to solve some problems in such fields. The process of obtaining quantitative knowledge in image fusion and reconstruction is a regression problem. In this case, a deep feedforward neural network is applied to solve the regression problem due to its ability to map complicated nonlinear functions.
20 Mb/s Experimental Demonstration Using Modulated 460 nm Blue LED for Underwater Wireless Optical Communications (UOWC)
Authors: Seow Y. L. , Rashidi C. B. M. , Aljunid S. A. , Ali N. , Endut R. 
Published: June 2021

Abstract
This paper has demonstrated an experimental low power consumption underwater wireless optical communication (UWOC) system with 460-nm LZ1-00DB00 Blue LED and avalanche photodetector. With the LZ1-00DB00 Blue LED operating at a driving current of 1200 mA with an optical power of 5280 mW, UWOC link offering a data rate up to 20 Mb/s over a transmission range of 5 meters under an underwater channel link. The measured bit-error rate (BER) is 3 × 10-3
which pass well the forward error correction (FEC) threshold.
Ultra-wideband Antenna with Slotted Ground Structure for Wireless Application
Authors: Bakar H A , Rahim R A , Jack S P , Isa S R 
Published: June 2021

Abstract
This paper presents a software-based design of an ultra-wideband slot antenna that is applicable for wireless applications. Due to introduction of polygonal wide slot in the ground plane, the ultra-wideband has been achieved. The battery slot and rectangular shapes are implemented to improve S11, operating bandwidth range and radiation pattern of antenna. The optimal dimensions of the presented antenna are 45mm × 45mm × 1.565mm and is simulated on FR-4 substrate with relative permittivity of 4.3 and loss tangent of 0.025. The proposed antenna shows wide impedance bandwidth of 4.56GHz (104%) ranging0 from 2.08GHz to 6.64GHz that covers WLAN and WIMAX application.
Promising areas of insurance for farm animals
Authors: Zhichkin K , Nosov V , Zhichkina L , Nechushkin A , Pavlyukova A , Korobova L 
Published: June 2021

Abstract
The article considers proposals for improving the insurance of farm animals with state support. The aim of the study is to develop new programs for insurance of farm animals with state support, based on a decrease in productivity. The main goal in calculating insurance rates is related to the determination and coverage of the likely amount of damage attributable to each policyholder. The insurance scheme of climatic risks in dairy cattle breeding is proposed, taking into account the animals productivity. Based on scientific data on a decrease in milk yield at an air temperature of more than 30°C, it is proposed to compensate for the decrease in productivity during the high temperatures period. In the Samara region, the insurance premium will amount to 1707.8 rubles per head. The total amount of the insurance premium will be 75126.0 thousand rubles, and the amount of state support for this program - 37563.0 thousand rubles in year. Thus, animal insurance and its state support is a reliable tool for reimbursement of losses for agricultural producers in the risky events in the livestock industry.
Empowerment model of seed breeders in the supplying sustainable rice seeds in North Sumatra Province
Authors: Asaad M , Martial T , Novita D , Dharma S 
Published: June 2021

Abstract
Empowerment of rice seed breeders in North Sumatra Province aims to improve the ability of seed breeders to become independent and sustainable seed breeders. The study aims to determine the conditions of cultivation, postharvest, and marketing of rice seed breeder and to formulate appropriate models for empowering rice seed breeders. This type of research is descriptive qualitative analysed through research and development methods. The research was conducted in six rice production centre districts in North Sumatra. The results showed that the empowerment of breeder groups was not optimal. This condition is indicated by the dominance of one people in the breeder group as determinants of policy. In addition, most seed breeders are only willing and able to carry out breeding activities only up to the cultivation stage which produces Harvested Dry Grain, do not participate in post-harvest (drying, sorting and certification) and marketing activities. This is due to the lack of motivation of breeders, limited facilities, financial problems and the lack of knowledge and skills of farmers. Therefore, efforts are needed to empower seed breeders in a comprehensive manner, including cultivating motivation, training, partnership, and support from local governments and companies to facilitate breeders in marketing the seeds they produce.
The potency of mungbeans enhancement in Sambas Regency West Kalimantan
Authors: Dewi D O , Burhansyah R 
Published: June 2021

Abstract
Agricultural Development is very important as a motor of national economy. Local Resources need to be empowered to improve the welfare of the farming community. This empowerment impacts the problems and opportunities in the development of mungbeans in West Kalimantan. The Indonesian Ministry of Agriculture makes West Kalimantan Province as one of the priorities for the development of legumes and tuber Agro-industries. The development of legumes such as mungbeans is part of an effort to diversify food. This research was conducted in June to October 2017 in Sambas Regency, West Kalimantan. The methodology used is the PRA (Participatory Rural Appraisal) with 30 respondents farmers owners and traders. The results showed that Sambas Regency has the potency for enhancing mungbeans in West Kalimantan. This is supported by natural resources, land resources and farmer resources. From the results of financial analysis in 4 sub districts in Sambas Regency, it can be seen that the highest net income received by farmers in the Teluk Keramat District is IDR. 17,136,750, - with an R / C value of 3.49 and B / C ratio of 2.49.
Influencing factors of madura cattle farmers’ courage to face risks of breeding
Authors: Novanda R R , Khaliqi M 
Published: June 2021

Abstract
Traditional Madurese cattle farmers experience many difficulties in carrying out cattle breeding. Madurese cattle farmers do not have genetic data on the cows they raise, making it difficult for breeders to produce superior calves. Cattle breeding is often considered high risk because it is biologically susceptible to disease and death. In addition, the low selling price of local cattle breeds is not comparable to the care performed by farmers. So, it is crucial to analyse the factors that influence the ability of Madura cattle farmers to face the risk of breeding. This research was conducted in Pamengkasan Madura with 100 respondents. The selected respondents are Madura cattle farmers who do business in the Madura cattle breeding. Data analysis was carried out using ordinal regression analysis method. Based on the results of data processing, it was found that Self Confidence and Optimism had a significant effect on the ability of Madura cattle farmers to face risks. At a 10% confidence level, Self Confidence and Optimism has a significant impact on the power of Madura cattle farmers to face risks with a P-value of 0.087.
Analysis of willingness to pay organic vegetables in Medan
Authors: Marda N H B , Salmiah  , Ayu S F 
Published: June 2021

Abstract
A healthy lifestyle is now internationally institutionalized and requires a guarantee that agricultural products must globally standardized and requires an assurance that farming items must have food safety, high nutritional and eco-labelling attributes. These things maters become motivation for living a healthy lifestyle. The research objective was to determine factors affecting willingness to pay for organic vegetables in Medan City, by using logistic regression analysis which sourced from primary data. The results show that value of Willingness to Pay consumers for organic vegetables (in the modern market of Medan City is higher by 10.40% - 12.89% of the price offered. The highest percentage of WTP increase in organic vegetable product consumers was spinach and the lowest was mustard greens. Income and product price have a significant effect on willingness to pay for organic vegetables meanwhile education level, age, and number of family members do not have significantly effect.