bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lightning Fault Location of 10kV Distribution Network With Multistage Branch Lines
Authors: Liu Anjiang , Feng Ruifa , Zhang Yang , Liao Minchuan , He Xiaomeng , Qu Lu , Xiao Xiaobing 
Published: February 2023

Abstract
With the continuous expansion of the distribution network scale, the multi-level branch line of the distribution network has been widely used because of its economic and flexible power supply. However, multi-level branch lines also make fault location more challenging. This paper proposes a lightning fault location method for distribution networks with multi-level branch lines. Firstly, the distribution network is divided into several areas, and the lightning strike area is judged by the polarity of the lightning current on the line. Then, according to the number of current monitoring terminals in the lightning strike area, the appropriate lightning location determination matrix is selected. This method not only takes into account the shunting effect of many branch lines in the distribution network on the lightning current of the main line, but also considers the lightning fault location on the secondary branch line. It is beneficial to improve the lightning fault location finding, patrol inspection, and rapid power supply recovery of complex distribution lines in mountainous areas, reduce the burden of personnel, and improve the intelligent and digital level of distribution lines.
Analytic Interval Prediction of Power System Dynamic under Interval Uncertainty
Authors: Zhu Lixuan , Ju Ping , Yu Yiping 
Published: February 2023

Abstract
With widespread access to renewable energy sources and active loads such as electric vehicles, uncertainty problems have gradually become a prominent problem in the power system. However, the conventional stochastic differential equation (SDE) model is not comprehensive in describing the randomness of disturbances, and the solution of novel models generally relies on numerical calculations. To improve the modeling accuracy and the calculation effectiveness, this paper utilizes intervals to model stochastic continuous disturbances and proposes an analytic method based on Taylor series expansion to predict the dynamic response of the power system under interval uncertainty, which may provide a reference for the small disturbance stability analysis of the power system. Furthermore, in order to apply to a more general situation, the case of continuous intervals is considered, and the analytic results are obtained, by which the superposition principle applicable to intervals is summarized. The comparison with the Monte Carlo method and the responses from actual wind power data verify the effectiveness and rationality of the proposed method.
Research on redundancy margin analysis method of 10kV regional distribution network based on demand-side response
Authors: Luo Hairong , Li Yongliang , Zhang Qingping , Gao Bo , Li Xuefeng 
Published: February 2023

Abstract
The current status of the regional 10kV distribution network has problems such as the unreasonable capacity declaration, capacity redundancy, and line margin reduction due to a large number of distributed PV and electric vehicle access. In this regard, a redundancy margin analysis method of a 10kV regional distribution network based on demand-side response is proposed. The customer distribution substation power consumption data and operation data are analyzed to establish a 10kV regional distribution network redundancy margin analysis model, and the model is constrained. In the experiments, the proposed method is verified for analysis accuracy. The analysis of the experimental results shows that the proposed method has a high analytical accuracy for analyzing the redundancy margin of the 10kV regional distribution network.
Fault location discrimination and protection strategy for DC distribution network based on PET
Authors: Liu Zongye , Yu Hongyang , Zhou Ding , Zhang Xiaoyu , Lu Zhengang 
Published: February 2023

Abstract
After the bipolar short circuit fault occurs on the low-voltage DC side of the low-voltage DC distribution network with a power electronic transformer, the fault current amplitude is high and the rise speed is fast, which leads to the rapid locking of power electronic devices, and the loss of fault information of line protection. Based on the multi-branch DC distribution network with CHB-type PET, this paper proposes a fault current limiting strategy. PET starts current limiting measures after detecting the DC side fault, which can provide stable and continuous fault transient information for line protection while providing a small amount of short circuit current. On this basis, using the fault current at both ends of the line, longitudinal polarity protection without strict communication synchronization is proposed. The simulation analysis based on PSCAD/EMTDC software shows that the scheme can realize fast and reliable fault line selection and has strong resistance to transition resistance.
A Bi-objective Optimization Study Based on Elite Selection for Electric Vehicle Charging
Authors: Song Wenbo , Fu LiYou 
Published: February 2023

Abstract
Electric vehicle charging increases the grid-side load, and the safety and economy of grid operation are affected. First, we consider the influence of climatic factors on EV charging and simulate the daily load profile under disorderly charging using the Monte Carlo method. Then, the elite selection is proposed in the context of traditional algorithms to establish a dual-objective optimization model with the minimum peak-to-valley difference on the grid side and the minimum total cost on the customer side. Finally, a city grid is used as an example to verify that the model is effective. The results show that the establishment of a time-of-use tariff for electricity market supply and demand and the use of elite selection bi-objective optimization can reduce peak-to-valley differences and smooth out grid fluctuations, improving the safety and economy of grid operation.
Active learning-based wind turbine failure prediction with consideration of data from different wind farms
Authors: Ren Hui , Xia Jing , Tang Huanxin , Lu Jinling , Zhao Hongshan 
Published: February 2023

Abstract
The SCADA system installed in each wind farm provides real-time and historical data required for fault diagnosis. However, labeling the data requires time and effort. Meanwhile, the performance of failure prediction and diagnostic relies on the volume of labeled failure data. Therefore, a fault diagnosis and prediction scheme for wind turbines based on active learning is proposed. Firstly, historical data from a selected wind turbine is screened out by residual analysis to set up the initial training data sets. Then a classifier is pre-trained by an improved active learning method. The active learning model based on the committee selection (QBC) sampling strategy and random forest (RF) learner is combined to realize the data labeling and, therefore, wind turbine fault detection. Afterward, the pre-trained classifier is applied to different wind turbines in the same/different wind farms to decide their operational status by labeling their operational data. Finally, the labeled data from different resources are fed back to retrain the classifier to improve its performance. Data from the SCADA system of wind turbines of different manufacturers in different wind farms are used as test cases, and simulation results show the effectiveness and feasibility of the proposed scheme.
Anderson-Darling test for ground radar environment sensing
Authors: Liao Jiahao , Liu Shan 
Published: February 2023

Abstract
A clutter distribution identification method based on the AD (Anderson-Darling) goodness-of-fit test is proposed for the environmental perception and clutter distribution identification of ground radar positions, given the current demand for environment perception by position adaptive technology. The method determines which distribution the clutter obeys by comparing the critical value of the corresponding distribution with the AD statistic. The AD test method is improved by proposing a cell averaging method and a critical value unitisation method to address the problem that the AD parameters of the parameters in ground radar echo sample data fluctuate greatly, and the sample data are accepted by multiple distributions. The measured ground radar echo data was recorded and used for identification. The analysis results show that the improved AD test identification method has a better identification effect in the identification of ground radar’s position environment clutter distribution.
Machine Vision-Based Hook Defect Detection
Authors: Li Wei , Liu Guangjun , Wang Yunfei 
Published: February 2023

Abstract
Due to the harsh working environment of crane equipment, regular safety inspection is essential. The hook is one of the most frequently used parts of crane equipment. Therefore, if the hook lacks regular and standardized safety inspection, it can easily cause casualties. However, traditional machine vision techniques still face many challenges, making it difficult to extract the target object from the complex scene. In this paper, we propose a combination of machine vision techniques based on deep learning and traditional methods to extract hooks from complex construction site scenes and detect whether the hooks meet the criteria for proper operation.
Deep Drawing Process Design and Quality Optimization of Mirror Micromotor Shell
Authors: Xie Jiana , Cai Longqiang , Wei Wanzhu , Chen Minsheng , Huang Zhenyuan 
Published: February 2023

Abstract
First of all, a negative clearance deep drawing scheme is proposed for a micromotor shell product with specular surface quality. The negative clearance condition is used to make the material bear strong extrusion and plastic deformation in the deep drawing process so that the mirror surface of the shell is realized, and the surface roughness Ra is below 0.2 mm. Next, a three-step deep drawing forming process is developed, and the negative clearance parameters of each step are designed and optimized. The drawing quality is evaluated by finite element simulation. In addition, the stamping trial-production test is carried out, and the qualified mirror micromotor shell is obtained. Finally, the thickness and roughness test results show that the thinning rate and roughness of the product meet the application requirements. Therefore, the developed drawing process and negative clearance drawing scheme are reasonable.
Performance Optimization of 4-bit Absolute Value Detector Based on Structural Design
Authors: Huang Zhe 
Published: February 2023

Abstract
The demand for high-speed electronics is increasing, so this paper presents a new design for a 4-bit absolute value detector, an introductory module in high-speed electronics, using the basic gate circuit except for the transmission gate. This paper introduces the logical effort theory to calculate the worst-case delay of the designed circuit, combines the designed circuit with the relevant equation of the logical effort theory to analyze the delay influencing factors of the circuit, and verifies that the designed circuit achieves the minimum delay to realize the minimum delay design of the basic module. In this paper, the circuit is divided into an absolute value output device and a numerical comparator, but the topology used is a fusion circuit of these two parts, rather than simply connecting the two parts. This study achieves a branch-free circuit while maintaining the condition of minimizing the critical path.
A method of airport runway dataset construction for the visual detection algorithm
Authors: Weng Xiangrui , Guo Bangjun 
Published: February 2023

Abstract
One of the key technologies for the autonomous landing of fixed-wing UAVs is runway detection and tracking. The survey reveals that there is no publicly available runway image dataset. However, we proposed a new method, which was different from the traditional dataset construction method. In this method, we innovatively combined UE4 (Unreal Engine 4) and Cesium software to construct an airport runway scene closer to the real world. And put forward our own calibration standards in the post-processing of datasets. Based on this method, we also conduct a runway dataset called RAW. Experiments show that this method can be used for Airport runway detection and algorithm validation and has a good effect on the application of visual detection algorithms from simulation to realistic scenarios.
Utilization of coal fly ash to enhance the bearing capacity of road base
Authors: Radwan Ashraf Abdalla M , Satar Mohd Khairul Idham Mohd , Hassan Norhidayah Abdul , Khalifa Nasradeen A , Usman Kabiru Rogo 
Published: February 2023

Abstract
Coal is responsible for the generation of around 38 percent of the power that is used throughout the entire planet. In the last two decades, there has been a rise in the number of chances for recycling and usage of fly ash from coal combustion due to its hydrophobic and cementitious properties. However, there is still limited commercialization of coal fly ash (CFA) in road construction. The focus of this research is to determine the bearing capacity of a CFA-treated crusher run used as a road base course. In order to determine the appropriate percentage of CFA, the crusher run was mixed with various percentages of Class F CFA, including 10%, 15%, 20%, and 25%. The proctor Compaction test (PCT), soaked and unsoaked California Bearing Ratio (CBR) tests, and Unconfined Compressive Strength Test (UCST) were then used to evaluate the bearing capacity of the CFA-treated crusher. The result shows that as the percentage of CFA increased, the Optimum Moisture Content (OMC) and Maximum Dry Density (MDD) decreased compared with the control specimen. The soaked and unsoaked CBR of the CFA-treated crusher run with 20% CFA increased by approximately 32% and 26% respectively that of the control specimen. Therefore, it is proven that utilization of CFA up to 20% into crusher run could enhance the bearing capacity of the road base.
Assessment on the Climate Change Impact Using CMIP6
Authors: Othman Wan Zunairah , Tukimat Nurul Nadrah Aqilah 
Published: February 2023

Abstract
The impact of global warming is resulting in flood, land slide, soil erosion and drought that are anticipated to become more intense and frequent. The history record shows that the flood has been occur repeatedly in this study area. The study of future climate needs to be done to a greater extent as a planning for the infrastructure and as mitigation actions on flood based on the future climate. The aims of this study, to ascertain the climate projection by CMIP6 are compatible to be subjected for the future climate and to identify the trend of future climate projection in Kemaman, Terengganu. The comprehensive study of future climate that using CMIP6 that consist of SSPs help in providing a clear explanation of future society’s socio-economic appraisal in assessment modelling. The Sen’s Slope Test were used to analyze the trend of future climate projection in this study area. In this study, we found out that the trend of future rainfall is increasing with the positive values of Sen’s Slope Test. Study shows that the Sen’s Slope Test values for eight (8) stations in Kemaman, which is Ban Ho, Hulu Jabor, Rumah Pam Paya Kempian, JPS Kemaman, Klinik Bidan Kg Ibok, SK Kemasek, Jambatan Tebak, and Jambatan Air Putih are 2.381, 1.158, 1.333, 1.252, 2.293, 1.06, 3.113, and 1.961 respectively. The frequency and intensity of forecasting rainfall also increasing compared to the historical data. In conclusion, the proper planning and mitigation action need to be done to minimize the losses that happen due to climate changes impacts.
Effect of Mixing Coffee Husk Ash and as a Cement Replacement on The Strength of Concrete
Authors: Wahyuni  , Zein K.C.S. , Munawir  , Ariadi P. N. 
Published: February 2023

Abstract
Concrete is one of the materials used to strengthen structures. In addition, concrete technology is constantly evolving and is most frequently applied in the construction of buildings. As one of the components of concrete, cement has the potential to harm the environment, from the extraction of raw materials through manufacture to ash pollution. Coffee husks, which are abundant in the Takengon area in the Central Aceh district and are particularly festive, are one among the various organic wastes in Aceh. Silica, a key component in the creation of cement, can be found in coffee residue. In this study, the impact of using fly ash and coffee husk ash in place of OPC cement on concrete’s compressive strength was investigated. The research methodology followed SNI 7656-2012 guidelines. Coffee husk ash was baked for five hours at a temperature between 200 and 250 °C with 5%, 10%, and 15% fly ash by weight of OPC cement. There are 24 cylindrical specimens, each measuring 15 cm in diameter and 30 cm in height. Testing was done on concrete that was 7 and 28 days old. The study’s findings include the concrete’s seven-day age and compressive strengths of 0% (12.27 MPa), 5% (10.52 MPa), 10% (9.99 MPa), and 15%. (9, 09 MPa). Compressive strength with percentages of 0% (21.47 MPa), 5% (13.16 MPa), 10% (10.74 MPa), and 15% at the age of 28 days (5.13 MPa). The designed concrete has a compressive strength of 20 MPa at 28 days of age and a percentage of 0% of 21.47 MPa. The results of testing the compressive strength of concrete show that the lower the percentage of the mixture of coffee husk ash and fly ash, the less compressive strength of the concrete. This is because coffee husk ash contains an excessive amount of silica (SiO2), which prevents cement’s reaction with lime and prevents the concrete mixture from having enough water to achieve maximum bonding.
Adoption of Building Information Modelling In Libyan Construction Firms: A Technological, Organizational, and Environmental (TOE) Perspectives
Authors: Elghdban Mohamed Ghayth , Azmy Nurhidayah , Zulkiple Adnan , Al-Sharafi Mohammed A. 
Published: February 2023

Abstract
Building information modelling (BIM), a recent information technology (IT) innovation in virtual design and construction, has been regarded as the most critical technology in the construction industry over the last decade. As a result, BIM adoption is rapidly increasing; however, this new phenomenon is not spreading as rapidly as it is in emerging regions such as Libya. The purpose of this study is to investigate the factors that affect BIM adoption at the organizational level by integrating the diffusion of innovation (DOI) theory, the technology-organization-environment (TOE) framework, and the institution theory. The data was gathered through a survey of 411 Libyan construction firms. Partial least squares were used for data analyses and to test the hypotheses. The results demonstrated that the (Perceived Relative Advantage and Compatibility) related positively to BIM adoption, while complexity related negatively to BIM adoption will top management support positively with Coercive Pressure on the adoption of BIM. The study’s findings provide significant insight into crucial factors that might increase the level of BIM adoption.
Analysis of tsunami disaster mitigation priority on urban area settlement
Authors: Soviana Widya , Munirwansyah  , Syamsidik  , Achmad Ashfa 
Published: February 2023

Abstract
Settlement in coastal areas is at risk of a tsunami disaster. In urban areas, the risk of disaster can be greater than the area behind it. This study aims to analyze the priority of tsunami disaster mitigation based on settlements criteria in urban areas. The data collection technique uses a questionnaire given to experts in the field of disaster mitigation. The research variables consisted of occupancy typology, settlement locations, settlement patterns and density, coastal environment, evacuation routes and evacuation sites. Processing and analyzing data using statistical product and service solution software. The results of the regression analysis obtained that the settlement model Y = 3,055 – 0,410 residential typology + 1,119 settlement locations -0,017 settlement patterns + 1,323 settlement density + 0,040 coastal environment + 0,853 evacuation routes + 0,875 evacuation places. A high correlation was obtained on the location criteria and settlement patterns. Based on the mean value, the criteria for vertical evacuation places have the highest value, so can be recommended as a priority for the tsunami mitigation plan in urban settlements.
Additive manufacturing of AISI 316L specimens with distributed inner bone-type cavities: processability and characterization
Authors: Bregoli C , Buccino F , Picca F , Bagherifard S , Biffi C A , Tuissi A , Vergani L M 
Published: February 2023

Abstract
Bone lacunae are cavities the morphology of which strongly affects the damage propagation inside bone. Nevertheless, the role of eventual variations in their morphological features is not clear yet. In this scenario, the work aims at isolating the effects of lacunar-like pores on the mechanical response of 3D printed samples. The research presents a detailed study on the processability of those cavities by means of laser powder bed fusion process, carefully considers both drawbacks of the process, such as the need of heat treatment to minimize the residual stresses, and the limitation of design constraints, such as the presence of metallic powders trapped inside closed cavities. The identification of the optimized heat treatment is permitted both by X-ray diffractometer analysis and morphological examinations by means of optical and micro-CT investigations of cavities. The selected heat treatment is performed on tensile test samples with lacunar-like cavities to progress with a preliminary mechanical static characterization. Future developments will investigate the fracture modality, both under static and fatigue loadings to comprehend how cavities with different morphology influence the damage propagation.
Fatigue assessment of 3D-printed porous PLA-based scaffold structures by Thermographic Methods
Authors: Ahmadi R , D’Andrea D , Santonocito D 
Published: February 2023

Abstract
Additive manufacturing with Fused Deposition Modelling (FDM) provides new opportunities for biomedical applications by manufacturing more complex structure for tissue scaffolds. In contrast to traditionally manufacturing methods such as injection moulding, FDM-made structures are produced with layer-by-layer adhesion mechanism. Moreover, setting different parameters is critically important to obtain reliable components, consequently fatigue analysis of these structures gets complicated. Therefore, a scaffold must be designed to replace human bone and withstand to static and fatigue loads. Although PLA scaffolds fabricated by FDM have been widely investigated, the fatigue behaviors research on them have been narrowly published; therefore, it is necessary to analyze the fatigue behaviour of PLA scaffolds because of their wide application in medical science. In this study, fatigue analysis of scaffolds-like specimens made by PLA is carried out by monitoring the energy release of such structures. Thermographic Methods are applied to obtain, in a short time and with few materials’ consumption, fatigue life information of scaffold-like structures produced with different printing parameters.