bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of IoT Real-Time Groundwater Monitoring System
Authors: Hawari H F , Chantar P P 
Published: December 2021

Abstract
Internet of Things (IoT) Real-Time Groundwater Monitoring System is a system built to monitor groundwater extraction and consumption. Groundwater scarcity has become a major threat to the government especially water utility company. Water theft, inaccuracy meter reading & lock out access are some problems contributing to water scarcity. In this research, data obtained from the groundwater consumption using flow sensor will be sent to the server where all this data will be recorded for future analysing by respective authorities. The system has been tested thoroughly using of Long Range (LoRa) communication module together with Thingspeak cloud and mobile application. The results showed promising coverage with Line of Sight (LOS) is tested at 900m maximum while for Non-Line of Sight (NLOS) is at 600m. A very small standard deviation up to 4.93 was observed for received Signal Strength Indicator (RSSI) value for LOS and NLOS. Compared with the existing manual method, the proposed IoT system will water authority to monitor water consumption effectively through real time and better coverage.
Normalized Cross Correlation Template Matching for Oil Palm Tree Counting from UAV image
Authors: Hanapi Sharifah Nurul Husna Syed , Shukor S A A , Johari Jalal 
Published: December 2021

Abstract
Tree crown detection and counting from remote sensing data such as images from Unmanned Aerial Vehicle (UAV) shows significant role in this modern era for vegetation monitoring. Since the data processing would depends on raw data available and for this case the RGB data, thus a suitable method such as template matching is presented. Normalized cross correlation is widely used as an effective measure in similarity between template image and the source or testing images. This paper focuses on six (6) steps involved in the overall process which are: (1) image acquisition, (2) template optimisation, (3) normalized cross correlation, (4) sliding window, (5) matched image and counting, and (6) accuracy assessment. Normalized cross correlation and sliding window techniques proposed for this work resulted in 80% to 89% F-measure values. This result indicates that UAV image data with appropriate image processing method/s have the potential to provide vital information for oil palm tree counting. This would be beneficial in plantation management to estimate yield and productivity. However, there are still rooms for improvement to achieve better results.
Design And Development Of Real-Time Small Scale IoT Based Energy Monitoring System
Authors: MatSaat E.H. , M.A. Majid , Abdul Rahman N.H. , Muhamad Nur Amalina , Othman N. 
Published: December 2021

Abstract
This paper presents the digitization of small-scale energy monitoring systems based on IoT. The proposed energy monitoring system known as EMOSY eliminates the high-cost energy meter. EMOSY is designed to be portable and practical to use without modification of internal or external connection of appliances. EMOSY is developed by using a voltage detector circuit concept by amplifying the existence of electrostatic. This electrostatic reading sends to the database through Wi-Fi module ESP8266 integrated with Arduino NodeMCU. The web page is designed using Adobe Dreamweaver with HTML and PHP coding. In the proposed system, the user able to monitor the energy usage of each appliance and estimated billing time to time. Based on the result, the energy monitoring system successfully can detect the existence of electrostatic, and the webpage database can display the energy usage extended to the estimated electricity bill. The monitoring system is found to be useful to the residential, commercial, and industrial to monitor energy patterns, which is essential to facilitate energy conservation measures for minimizing energy usage.
Face Recognition System Using Local Features Fusion for Multi-Masks
Authors: Al-Dabagh Mustafa Zuhaer Nayef , Ahmad Muhammad Imran 
Published: December 2021

Abstract
Face recognition is a relatively novel research field, and its application is closely related to numerous other areas. Moreover, it is emerging as a critical research theme due to its broad range of applications. Thus, many face recognition methods use a variety of feature extraction approaches. Nonetheless, the issue continues to be challenging, particularly identifying non-biological entities. This paper proposes an extended descriptor for local features of an effectual facial recognition system using a local directional pattern operator. This technique combines the Frei-Chen and Robinson masks’ strengths by fusion of the directional features of LDP for these two masks; this elicits a robust feature extraction method for distinguishing faces. Experimental results using the Yale database show that the extended descriptor considerably improved recognition rate and better performance than traditional local feature descriptors.
Fuzzy logic based prediction of micronutrients demand for harumanis mango growth cycles
Authors: Nooriman W M , Abdullah A H , Abdul Rahim N , Tan Erdy Sulino Mohd Muslim 
Published: December 2021

Abstract
Harumanis is a famous green eating mango cultivar that has been commercially cultivated in Malaysia’s state of Perlis. A variety of nutrients are found in soil, all of which are necessary for plant growth. Micronutrients such as Nitrogen (N), Phosphorus (P), and Potassium (K) are essential for Harumanis mango (Mangifera Indica) to growth. The importance of soil fertility in achieving high plant productivity and quality cannot be overstated. It should be used in a moderate amount and in a balanced manner. Predicting appropriate nutrients and the right timing to satisfy the tree’s demands is critical. The aim of this study is to create for Harumanis mango a fuzzy logic-based system to analyse the results of soil tests for nitrogen (N), phosphorus (P), and potassium (K) in the Harumanis mango orchard. The interpreted data are used to estimate N-P-K nutrient levels and indicate the optimal fertilizer solution and application timing for each Harumanis growth stages. The system utilizes Fuzzy Logic Control (FLC) to predict the nutrients demand for Harumanis mango growth. Results shows the system able to calculate and predict values of required N-P-K fertilizer for optimal growth. Thus, assist farmers in predicting the proper amount of N-P-K to apply to Harumanis mango soil.
Comparative investigations on different types of inductors in single-phase inverter
Authors: Aihsan M. Z. , Yusof A. M. , Rahim Hasliza A , Ismail B. , Mustafa W. A. , Saifizi M. , Fahmi M. I. 
Published: December 2021

Abstract
This article organized in two sections where it compares the performance of single-phase inverters using various types of inductors with differences modulation technique of pulse width modulation (PWM). Not all inductors perform the same function, even the inductance value is the same. The study will investigate the capability of each inductor on its performance to convert the unfiltered AC voltage into filtered sinusoidal AC voltage. The drum core and toroidal core inductors were used in this investigation. For both inductors, the performance will be analyzed based on Bipolar and Unipolar switching schemes in a single unit H-bridge circuit. The validation of results are through experimental assessment only and it will be evaluating the shape of sinusoidal AC voltage and the content of total harmonics distortion in the AC voltage for both inductors.
Ground penetrating radar for buried utilities detection and mapping: a review
Authors: Ali Hasimah , Ideris Nurul Syahirah Mohd , Ahmad Zaidi A F , Zanar Azalan M S , Tengku Amran T S , Ahmad M R , Abdul Rahim N , Abdul Shukor S A 
Published: December 2021

Abstract
This paper presents a review on Ground Penetrating Radar (GPR) detection and mapping of buried utilities which have been widely used as non-destructive investigation and efficiently in terms of usage. The reviews cover on experimental design in GPR data collection and survey, pre-processing, extracting hyperbolic feature using image processing and machine learning techniques. Some of the issues and challenges facing by the GPR interpretation particularly in extracting the hyperbolas pattern of underground utilities have also been highlighted.
Facemask quality measurement using AMG8833 multiarray thermal sensor
Authors: Tan Erdy Sulino Mohd Muslim , Markom Marni Azira , Andrew A.M. , Hamid MHA , Izham Muhammad Aiman Hakim Muhammad , Nizam Muhammad Amir Ridhuan Mohd , Abdullah Aniq Amsyar , Lok Hoo Weng 
Published: December 2021

Abstract
Face masks have become a necessary thing that people need to wear daily. Even though some people might already be vaccinated, there is still a chance that the Covid-19 virus could still infect them. Hence, this paper presents a device developed to help determine the quality of face masks crucial in preventing the spread of the virus. These devices can calculate the temperature outside the face mask at a maximum distance of three meters. The way this device works is by measuring the temperature released out of the face mask. Here, the developments of the device with the ability to help determine the quality of face masks are explained and discussed. In the end, the device is perfectly functioning and definitely would assist in verifying the quality of the face masks being worn by someone. Two types of faces are used as test materials: the KN95 type face mask and the 3ply facemask used in Malaysia. Each facemask collected data from 30 minutes to 300 minutes for ten subjects over ten days. Studies that have been conducted show that the thermal value of the KN95 facemask increased to 30.27°C after 5 hours of use. At the same time, the 3ply type facemask offers a thermal value of up to 34.58oC after 5 hours of use. This shows a thermal value difference of up to 4.3PC for both facemasks after 5 hours of use.
Autonomous robotic fire detection and extinguishing system
Authors: Sathiabalan Nivennesh A/L , Lokimi Anis Farihin Mohamed , Jin Ong Zi , Hasrin Nur Syazwani Mohd , Zain Aini Syuhada Md , Ramli Nuraminah , Zakaria Hasneeza Liza , Ariffin Wan Nur Suryani Firuz Wan , Hashim Nur Baya Mohd , Taib Muhamad Husairi Md 
Published: December 2021

Abstract
Firefighting is a dangerous job with a high death rate. Robotics is the new way to protect the environment and human lives. This work proposes an autonomous robot system that can inevitably discover fire using the flame sensor and extinguish it. This project includes Arduino UNO, flame sensor, servo motor, motor driver, relay module, Bluetooth HC-06 module, and water pump. Besides, using the push Bluetooth app at the transmitting end, commands are sent to the receiver to control the robot’s movement. The motors are connected to the microcontroller and used to move the robot and sprinkle water on the fire. A water tank and a water pump are mounted on the robot body and automatically detected by the infrared. An ATMEGA328 series microcontroller controls the flame sensor and the whole operation. A motor driver IC, L298N, is interfaced to the microcontroller through which the controller drives the motors. As a result, the robot can detect fire from a distance. The average length for detecting flame is approximately 5.11cm, and Bluetooth transmission is about 300cm. It has the potential to reduce human error and limitations associated with fire extinguishing tasks.
Position Tracking Performance with Fine Tune Ziegler-Nichols PID Controller for Electro-Hydraulic Actuator in Aerospace Vehicle Model
Authors: Othman S.M. , Sunar Noorhazirah , H.B Hassrizal , Ismail A.H. , Ayob M.N. , Muhamad Azmi M.S. , Hashim M.S.M. 
Published: December 2021

Abstract
Electro-Hydraulic Actuator (EHA) system is a third order non-linear system which is highly suffer from system uncertainties such as Coulomb friction, viscous friction and pump leakage coefficient which makes this system more complicated for the designing of the controller. The Proportional-Integral-Derivative (PID) controller has proposed in this paper to control EHA system and main problem in its application is to tune the parameter to its optimum value. Two different methods are used to tune the PID controller which are trial and error and Ziegler-Nichols method. MATLAB Simulink is used to simulate the system. In order to determine the performance of EHA system for the position tracking. 3 different of external disturbance such as 0N, 5000N and 10000N has been injected into the system. Simulation results show that the Ziegler-Nichols fine tuning method provides the better tracking performance when compared to the trial and error method for every specific disturbance setting. The Ziegler Nichols method provides better disturbance rejection as the performances indexes such as percentage overshoot, settling time and steady state error are not affected by the varying of disturbance.
Harumanis Mango Leaves Image Segmentation based on Wavelet Transformation with Phansalkar and Sauvola Thresholding
Authors: Chin Ong Boon , Nasir Aimi Salihah Abdul , Herng Ooi Wei , Tan Erdy Sulino Mohd Muslim 
Published: December 2021

Abstract
Harumanis mango is one of the economic sources of the Perlis state. It has a sweeter taste compared to other mangoes. However, the Harumanis mango tree required specific weather, soil nutrient contents and pH level. This makes the farmer does not know the health condition of their Harumanis mango tree. Therefore, this project aims to provide the best method of leaves detection to the farmer. The leaves image samples are collecting from the orchard and undergo pre-processing. Then the input image was converted into grayscale with principal component analysis (PCA). Wavelet transformation was implemented to increase the discriminability of the segmentation technique for separating the leaf and background. The leaf segmentation is done by using Phansalkar and Sauvola thresholding techniques. After that, fill hole and area opening techniques are implementing to reduce noise in the image. These two thresholding techniques are comparing and discuss with their segmentation performance. Overall, Phansalkar thresholding has produced better performance in segmenting healthy and unhealthy Harumanis mango leaves with sensitivity, specificity and accuracy of 92.05%, 81.37% and 83.51%, respectively.
Risk Assessment for Alternating Current / Direct Current (AC/DC) Hybrid Systems with Renewables Penetration
Authors: Chen Ye , Yang Qiongqian , Li Zhenting , Liu Mengmeng , Zhang Jianfeng , Pan Yang 
Published: December 2021

Abstract
In this paper, a risk assessment method is proposed for AC/DC hybrid systems with renewables penetration, considering the effect of renewables penetration and the application of DC transmission. The sequential Monte Carlo method is introduced to simulate the output of renewables generators, and the unified iterative method is used to solve the problem of AC/DC hybrid system power flow calculation. By establishing the quantized risk assessment indices, the risk of AC/DC hybrid systems with renewables penetration can be analysed. The results of EPRI of China 6-machine-22-bus Test case show that the proposed method can effectively evaluate the risk level of AC/DC hybrid systems with renewable energy penetration and provide reference for power grid planning and the actual operation in advance.
Measuerment of CO2-crude oil minimum miscible pressure in YC Oilfield by core displacement method
Authors: Liu Li , Liu Jinxin , Pi Yanfu , Guo Xuan , Dai Zhipeng , Li Zhihao 
Published: December 2021

Abstract
Aiming at the defect of measuring the CO2-crude oil MMP(minimum miscible pressure) by the slim tube test, the core displacement method is established based on indoor physical simulation and homogeneous rectangular core in the low permeability block of YC oilfield. For comparison, the MMP is measured by the slim tube test in the same block. Experimental results show that the method has good repeatability and can simulate porous media and reservoir water content, which is more consistent with the actual reservoir conditions. The MMP in the target block of YC oilfield was 19.85MPa, which was 1.87MPa lower than that measured by traditional slim tube test.
Fabrication Strategy to Promote Performance of Perovskite Solar Cells
Authors: Wang YanZhi , Hou Ruixiang 
Published: December 2021

AbstractImprovements in process of perovskites, materials of auxiliary layers and encapsulation have significantly enhanced the performance of perovskite solar cells (PSCs). However, unified fabrication of PSCs has not been completely settled till now. Whether it is harmful to the perovskite should be concerned when selecting function layer materials and encapsulation materials of PSCs. Encapsulation is the main way to enhance the stability of PSCs. Besides, to cope with the emerging environment issues, the function layer materials can be modified to adsorb lead, preventing the leakage of lead from PSCs. To integrate the advantages of each part of PSCs, interactions between constituent materials are needed to be studied.
Influence of high temperature degaussing on lifting capacity of linear motor reciprocating pump
Authors: Jian Cheng , Ma Lei , Yang Weifeng , Huang Qing , Xu Jing , Zhai Huan , Cao Guangsheng 
Published: December 2021

Abstract
The submersible linear motor reciprocating pump is a new type of artificial lift. The degaussing effect of its permanent magnet at high temperature will reduce the lifting capacity of the linear motor reciprocating pump. In this paper, the thermal stability of NdFeB permanent magnet material was studied by simulating the underground temperature and pressure conditions in a high-temperature and high-pressure reactor and combining with a Tesla instrument. The results show that NdFeB material loses its magnetism rapidly at high temperature, and the residual magnetism is proportional to the ambient temperature of the magnet. The high temperature demagnetization effect of large magnets is more serious due to eddy current loss and hysteresis loss.
Treatment of ultrahigh chemical oxygen demand chemical wastewater by Fenton oxidation
Authors: Xue Xingfu 
Published: December 2021

Abstract
The article focuses on the Fenton oxidation process for the treatment of ultrahigh COD chemical wastewater from chemical plants. Optimum pH was determined as 2.0 and 10.0 for the first (oxidation) and second stage (coagulation) of the Fenton process, respectively. 0.465gFeSO4·7H2O, H2O2(30%)2ml, the mole tatio of H2O2 : Fe2+=10:1, adjust the pH of the solution to 10, after 1.5 hours of agitation, then add 5% PAM2ml to the solution, filtrate, extract, filtrate the clear liquid and dilute it three times, take 200ml of the diluted liquid, and add 0.465gFeSO4·7H2O, H2O2(30%)2ml, the mole tatio of H2O2 : Fe2+=10:1, adjust the pH of the solution to 10, after 1.5 hours of agitation, then add 5% PAM2ml to the solution, static stratification. For chemical wastewater, when the molar ratio H2O2/Fe2+ is 10:1, the removal rate of COD is the highest, provided 86.21–86.45% COD removal.
Research on Performance Evaluation of PPG/Polymer Flooding System
Authors: Cao Ruibo , Yan Wei , Pi Yanfu , Liu Jinxin , Chen Hao 
Published: December 2021

Abstract
Aiming at the PPG/polymer flooding system developed by Daqing Exploration and Development Research Institute, this paper conducts research on its viscosity increasing, viscosity stability, rheological properties, viscoelasticity and seepage ability. The experimental results show that:PPG has a thickening effect on the system, and the thickening range is between 37% and 66%;the viscosity retention rate of the PPG/polymer system is higher (88%) than the ordinary 25 million polymer solution (75%) ); Under the same shear rate conditions, the apparent viscosity of the PPG/polymer system is higher than 25 million pure polymer; the PPG/polymer system has a resilience effect, and its G’ and G” values are greater than that of a pure polymer solution;PPG/The polymer system can migrate to the deep part of the oil layer and still maintain high seepage resistance, which can realize deep profile control.
Exploration on the Materials Quality Control of Railway Vehicle Weld Structure Based on Service Safety Demand
Authors: Wang Jianing , Wu Zezhou , Han Bin , Zhang Tao , Zhou Baosheng , Song Kunlin , Jin Xiao , Ren Songzan , Chen Jiarong , Zhao Xin’e 
Published: December 2021

Abstract
With the continuous increasing of service-rail-vehicle in China, some defects such as cracks appeared at different stages of service when they had not reached the design life, while current theories and methods cannot explain the appearance of defects, which brought risks and hidden dangers to the operation of the vehicles. It was found that the reasons were mainly caused by one or several factors such as material performances, design, manufacturing process and operating environment. Since more and more sensors being installed on the vehicles to supervise the health of structure, it is more improtant to focus on the performances of materials. Through comparing different material standards including international, national, railway industry and enterprise standards, as well as the technical delivery conditions of other industries, it was recommended that the fracture mechanical parameters such as fracture toughness and fatigue crack growth should be proposed into the materials quality control regulations of original equipment manufacturers (OEMs). Furthermore, based on the testing data of materials from OEMs, several suggestions were proposed on the basic performance of materials such as raising the requirements contained impact, metallography and corrosion resistance properties in order to provide guarantee for the service safety of vehicles.
Research on Perfect and Tunable Metamaterial Absorber Based on Crosshair-shaped Graphene
Authors: Guo Yiran , Qi Yunping , Liu Chuqin , Liu Weiming , Wang Xiangxian 
Published: December 2021

Abstract
Graphene, as a new nano-material, according to the physical properties of electric field localization and selective absorption on light of surface plasmon resonance (SPR), a tunable, multi-band and wide-angle perfect absorber based on crosshair-shaped graphene is devised by using the Finite Difference in Time Domain (FDTD) method. In this paper, the effects of chemical potential, relaxation time, and incident angle of light on the absorptivity of graphene are systematically discussed. The simulation experiment shows that there are two absorption peaks with perfect absorption rate appeared in the study range, and the maximum modulation index can be obtained by changing the relaxation time. Finally, it proves that the absorber is insensitive to wide-angle of light. Thus, it is able to be concluded that the absorber has a great reference value to sensor, wireless communication, biomedical and other fields.
Interfacial Thermal Conductance between Alumina and Epoxy
Authors: Yang Wei , Wang Kun , Fu Yongsheng , Zheng Kun , Chen Yun , Ma Yongmei 
Published: December 2021

Abstract
Interfacial thermal conductance (ITC) of inorganic/epoxy interface is regarded as one of the most significant factors in determining thermal transport performance of epoxy composite. Here, ITC between alumina and epoxy was experimentally investigated by time-domain thermoreflectance (TDTR) method. The results show that the ITC is effectively increased from 9.0 MW m-2 K-1 for non-treated alumina/epoxy interfaces to 26.3 MW m-2 K-1 for plasma treated interfaces. This work sheds some light on design and application for thermally conductive composites.