bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative scheduling method of power grid energy side based on carbon verification data mining algorithm
Authors: Yan Hong , Jiang Xi , Ren Xiaojun 
Published: March 2024

Abstract
In the process of the collaborative scheduling of the grid energy-consuming side, the voltage value is low, and the utilization rate of collaborative scheduling resources of the grid energy-consuming side is poor. Therefore, a collaborative scheduling method for the grid energy-consuming side based on a carbon verification data mining algorithm is proposed. Based on the structure of the data management system, the related data structure lookup formula is set to determine the collaborative scheduling task data of the power grid energy side. Under the carbon verification data mining algorithm, the power grid topology structure is constructed, the scheduling target parameters are processed, and the coordinated scheduling of the power grid energy side is realized. The experimental results show that this method can effectively improve the voltage value of each node, and the voltage value of all nodes can reach above the qualified value and improve the utilization rate and energy-saving performance, which has a certain effectiveness.
Research on multi-time scale optimal scheduling of integrated energy system based on digital twinning
Authors: Zhang Huailiang , Wang Kai , Dong Weiwei 
Published: March 2024

Abstract
Due to the differences in time scales of different units in integrated energy systems, the adaptability of dispatching to load fluctuation is low, and the corresponding cost input is large. Therefore, the research on multi-time scale optimal dispatching of integrated energy systems based on digital twinning is proposed. Based on FPGA and multiple constraints such as timing, resources, and algorithms, a digital twin model of a multi-energy integrated energy system is constructed to address the dynamic changes of various components in the time scale of the multi-energy complementary system. In the scheduling stage, the scheduling interval is determined based on the output and load parameters of each unit module in the integrated energy system, and the specific scheduling parameters are determined with the goal of digital twin mirror equivalence. In the test results, the fluctuation cost under different operation scenarios is stable below 700 yuan, and the operation cost is stable below 1, 400 yuan, both of which are at a low level.
Application of ensemble learning approach on anomaly detection of a dual induced draft fan system
Authors: Yin Xiaoyan , Wang Ze , Hao Xiaoyu , Cheng Liping , Li Rui 
Published: March 2024

Abstract
Intelligent monitoring of thermal power plants has been receiving growing interest. As one of the promising technologies in intelligent monitoring, machine learning-based fault detections for auxiliary equipment in the thermal power plant have been widely investigated. In this work, we constructed normal behavior models to predict the current of a dual-induced draft fan system by gradient-boosting tree regression. For anomaly detection, we evaluated the residual by calculating the mean value and meanwhile added a control boundary based on statistical analysis. As a result, we successfully identified the abnormal fan in the dual-induced draft fan system and assisted in the schedule of maintenance work.
Research on dynamic PI parameter tuning of double-fed wind turbine based on ant colony algorithm
Authors: Wang Xijun , Gong Ning , Wang Pengzhan , Ding Yan , Gu Bo 
Published: March 2024

Abstract
Considering the drawbacks of flexible adjustment of PI controller control parameters in the constant pressure control system of doubly fed fans, a PI controller control parameter flexible adjustment method considering ant colony optimization algorithm (ACO) is proposed. This method uses the proportional coefficient and integration time parameters in the PI controller as the ants in the ant colony optimization algorithm, and the ultimate optimization goal is to control the absolute error integration function. During the control process, the parameters of the PI controller are dynamically adjusted. When the electrified wire netting IR-drop and wind velocity changes, a comparative analysis of the dynamic tuning PI controller parameters and the non-dynamic tuning method was conducted. At last, the simulation studies have shown that the constant voltage control system using the PI parameter Flexible adjustment control method found on ACO can rapidly improve the grid voltage stability of double-fed wind turbines and reduce response time.
Comparison and analysis of starting performance of PMSM with different rotor structures
Authors: Wang Hao , Tian Rixin , Li Changchao , Chen Hong 
Published: March 2024

Abstract
In this paper, the electromagnetic fields of PMSM with four different rotor structures are analyzed by the finite element method, and the distribution of magnetic field lines is compared. Then the asynchronous starting process of PMSM is studied. The starting process of four kinds of permanent magnet synchronous motors with no load and load is simulated and analyzed, and the characteristics of speed, torque, and phase current are obtained. These studies can provide references for the starting design of permanent magnet synchronous motors in practical applications. Therefore, a more reliable and efficient motor starting process is realized, which provides a basis for further structural design of permanent magnet synchronous motor.
A simple and efficient resonant DC link inverter with low current stress on main switch
Authors: Jia Xiaodong , Xia Wen , Song Jiaxiang 
Published: March 2024

Abstract
This paper proposes a simple and efficient resonant DC link inverter topology with low current stress on main switches. The inverter has a straightforward structure and is readily controllable, avoids the auxiliary resonant current passing through the main switches of the inverter, and the current passing through the main switches remains consistently equivalent to the load current, thus reducing the current stress and the switching loss of the main switches, thereby the inverter’s efficiency is increased. The proposed inverter’s operating principle is examined and contrasted with the inverter described in the literature. Ultimately, the validity of the resonant DC link inverter is demonstrated through simulation.
Flexible closed-loop control device and control method for distribution network based on hybrid phase shifting transformer
Authors: Gan Dongliang , Yuan Jiaxin , Li Guangyao 
Published: March 2024

Abstract
With the increasingly complex structure of the distribution network and the increasing demand for power supply quality from the user side, relying solely on the original grid layout for power supply can no longer meet existing needs. Closed loop power supply can achieve uninterrupted load to improve power supply reliability. This article proposes a flexible loop closing device based on HPST for the case of large voltage phasor differences on both sides of the busbar loop closing point in the distribution network and proposes corresponding flexible loop closing and load transfer strategies based on the characteristics of HPST. Finally, a simulation of loop closure and power control was conducted based on the 10 kV distribution network loop closure scenario, verifying the feasibility of the HPST flexible loop closure device and the effectiveness of the control strategy.
Risk assessment of distribution network operation with scale distributed photovoltaics
Authors: Guo Xiaofang , Miao Guixi , Wang Xin , Yuan Liang , Li Wen , Wu Entong , Yibulayimu Xierzhati 
Published: March 2024

Abstract
In the context of large-scale photovoltaic integration into the distribution network, it is of great significance to comprehensively consider the uncertainty of photovoltaic output and load and scientifically and effectively evaluate the operational risks of the distribution network, in order to ensure the reliable and economic operation of the distribution network. At the same time, with the increase of distributed photovoltaic installed capacity, the small interference stability caused by it has an increasing impact on the operation of the distribution network. In this paper, we first establish a probabilistic model of photovoltaic output and load. Then, we propose a risk calculation method based on the non-sequential Monte Carlo method and probabilistic power flow calculation. Then, a risk analysis of large-scale photovoltaic access to the distribution network was carried out. A new small interference stability risk index was constructed to evaluate the risk of system oscillation caused by photovoltaic access. On this basis, the comprehensive risk value is calculated, and the risk levels are divided based on the voltage over-limit risk and power flow over-limit risk. Finally, the feasibility and effectiveness of the risk assessment model are verified through case analysis.
Study on the topology of a system for delivery of electricity from deep sea wind through voltage source converter
Authors: Chen Qichen , Gang Mingze , Zhao Zheng , Zhang Yiming , Teng Shangfu , Fan Linzhen 
Published: March 2024

Abstract
It is a difficult problem to maintain high reliability while designing the topology of the voltage source converter (VSC) for deep-sea wind power in a compact manner. In this paper, the topology of the converter, the main wiring type and grounding method, and the DC system wiring scheme are studied. The advantages and disadvantages of each scheme are compared in offshore wind power application scenarios. Finally, the half-bridge converter topology and the true bipolar with metal return line topology are recommended for the topology design of the VSC system for deep and remote offshore wind power. The power operating range is also presented. The scheme proposed in this paper paves the way for promoting the lightweight and highly reliable system for the delivery of electricity from deep sea wind through VSC.
Anomaly attribute mining method for topological nodes of power system based on graph theory
Authors: Tan Huijuan , Lu Jiangang , Zhao Ruifeng , Dai Yue , Wu Yuezhou 
Published: March 2024

Abstract
Due to the large scale, high dimension and time series characteristics of power system data, and the normal samples far exceed the abnormal samples, the sample imbalance phenomenon occurs, and it is difficult to mine the abnormal attributes of nodes. Therefore, a method of mining abnormal attributes of topological nodes of power systems based on graph theory is developed. The logical relation between nodes is analyzed by graph theory, and directed graph and undirected graph are obtained. The topology structure of the power system is constructed, the noise in data is removed by the adaptive clustering algorithm, the weight of topological nodes is set, and the abnormal malicious attacks of topological nodes are discovered by the double threshold method. The experimental results show that the proposed method can accurately detect the abnormal topological nodes in the network, perform better in the energy consumption of the neighbor topological nodes, and greatly reduce the energy consumption of the neighbor topological nodes during mining.
Application of indoor and outdoor integrated collaborative positioning technology in power transportation detection
Authors: Hao Xiangyu , Zhao Junlei , Li Chunxiao , Wang Lei 
Published: March 2024

Abstract
With the continuous acceleration of the construction of electric power Internet of Things, the structure and scale of electric power system is more massive, the complexity and danger coefficient of field operation is enhanced, and the risk of causing safety accidents is further increased. Therefore, based on wireless sensor network, collecting and transmitting information of personnel and site operation environment, establishing power operation tracking system is of great significance to improve the safety and efficiency of operation and inspection personnel. At present, most of the electric power operation and maintenance personnel are positioned by satellite or wireless WIFI, which has a large error or even cannot be positioned, so this paper proposes a 5G+Beidou fusion indoor-outdoor cooperative positioning technology for electric power operation and inspection service. The fusion model of Beidou carrier phase differential positioning and 5G cellular network positioning is established by using the improved Federal Kalman filter algorithm, which can avoid data pollution caused by Beidou receiver failure or 5G communication module failure in a complex environment, and avoid the inability to locate compared with the common Federal Kalman filter. phenomenon.
Removing grid artifacts from a two-dimensional crisscrossed grid in cone-beam computed tomography to enhance image quality
Authors: Jeon Duhee , Kim Woosung , Cho Hyosung , Park Myeongkyu 
Published: March 2024

Abstract
One-dimensional linear X-ray grids are typically used in clinical practice to reduce the
number of scattered X-rays reaching the detector surface, thus improving image contrast in
radiography. However, such grids can only remove scattered X-rays in one direction. Additionally,
the primary challenge in using X-ray grids in digital radiography is the presence of grid
artifacts, such as grid strip shadows and moiré, which can reduce image quality. To overcome these
difficulties, in this study, we developed a prototype two-dimensional (2D) crisscrossed grid with
a strip density of 1.724 lines/mm by adopting a high-precision sawing process to further improve
its scatter radiation removal ability and implemented it in a cone-beam computed tomography (CBCT)
system to enhance image quality. We propose a new software-based method called the grid artifact
reduction (GAR) algorithm to efficiently eliminate grid artifacts of a 2D grid in CBCT. The GAR
algorithm involves three main steps: 1) preprocessing for flat-field compensation, 2)
postprocessing for GAR, and 3) CBCT reconstruction. To verify the efficacy of the proposed
approach, we conducted an experiment on a CT quality control phantom (Pro-CT MK
II™) and quantitatively evaluated the CBCT image quality using the
contrast-to-noise ratio (CNR) and Hounsfield unit (HU) accuracy error. The CNR value measured in
the CBCT image obtained using the 2D grid and proposed GAR algorithm was 3.22, which is
approximately 4.4 times of the value obtained without GAR. Furthermore, the corresponding HU
accuracy error was 30.47, an improvement of approximately 1.3 times. These results indicate that
the proposed approach is highly efficient in eliminating scattered X-rays, thereby improving the
quality of CBCT images. Consequently, high-quality CBCT images were obtained using the proposed
approach (i.e., using a 2D crisscrossed grid in CBCT and the proposed GAR algorithm).
Characteristics and ultra-high total ionizing dose response of 22 nm fully depleted silicon-on-insulator
Authors: Termo Gennaro , Borghello Giulio , Faccio Federico , Kloukinas Kostas , Caselle Michele , Elsenhans Alexander Friedrich , Ulusoy Ahmet Cagri , Koukab Adil , Sallese Jean-Michel 
Published: March 2024

Abstract
The radiation response of MOS transistors in a 22 nm Fully Depleted Silicon-On-Insulator (FDSOI) technology exposed to ultra-high total ionizing dose (TID) was investigated. Custom structures including n- and p-channel devices with different sizes and threshold voltage flavours were irradiated with X-rays up to a TID of 100 Mrad(SiO2) with different back-gate bias configurations, from -8 V to 2 V. The investigation revealed that the performance is significantly affected by TID, with the radiation response being dominated by the charge trapped in the buried oxide.
Feasibility of improving image performance in photon-counting computed tomography using X-ray spectrum filtration
Authors: Lee Soohyun , Lee Minjae , Cho Hyosung 
Published: March 2024

Abstract
Photon-counting computed tomography (PCCT) is an emerging technology based on new energy-resolving X-ray detectors (photon-counting detectors (PCDs)) that provide promising image performance compared to the conventional energy-integrating CT (EICT). It has the potential to provide higher resolution and contrast, lower radiation dose, and fewer artifacts, which has led to significant research interest. This study proposes a method to further improve the image performance of the PCCT using an X-ray spectrum filtration technique. We conducted a feasibility study via simulations using aluminum (Al), beryllium (Be), sodium (Na), nickel (Ni), tin (Sn), neodymium (Nd), and tantalum (Ta) incorporating varying thicknesses using a PCD simulation toolkit (PcTK). The PCCT system used in this simulation was modeled to have a cadmium telluride-based PCD with four multi-energy thresholds of E = 40, 60, 80, 100 keV, assuming that the object received the same number of photons. Using the PCCT images obtained with the highest threshold (i.e., E4 = 100 keV), the image quality was evaluated quantitatively in terms of the signal difference-to-noise ratio (SDNR) and structural similarity (SSIM). Among the filtrations selected in this simulation, a filtration of 2.0 mmAl (inherent) and 1.5 mmSn (added) showed the best image quality. The SDNR and SSIM values measured in the PCCT image obtained with an added filtration of 1.5 mmSn were 3.73 and 0.81, approximately 1.9 and 1.8 times higher than those with no added filtration, respectively. Consequently, the X-ray spectrum filtration technique in PCCT is useful to further improve image performance.
50.3 ps time resolution and an 11-channel time measuring chip for Topmetal detectors
Authors: Fang Ni , Wang Dong , Sun Xiangming , Gao Chaosong , Chen Ran , Zhou Zhuo , Zhou Shiqiang , Lian Cheng , Lang Zijian 
Published: March 2024

Abstract
The Topmetal detector, utilized in this investigation, is a direct-type CMOS pixel sensor known for its distinctive feature of employing exposed metal at the top of each pixel to directly capture external charged particles. This method generates electrical signals through the induction of charge. At present, it is mainly used in gas pixel detector(GPD) and particle beam monitoring. In this paper, we present a new front-end design aimed at enhancing the capabilities of the Topmetal pixel detector. The focus is on incorporating a Time-Digital Conversion (TDC) ASIC into the front-end, with the objective of achieving high-precision time measurement in addition to superior position resolution. The function of the TDC is achieved by the two reverse delay chains, 11 edge acquisition circuits Time-to-Amplitude Converter (TAC), analog gate, weight count module, and Wilkinson Analog-to-Digital Converter (ADC). Coarse time measurement is implemented based on a counter with a working frequency of 500 MHz, and fine time measurement is implemented by the combination of TAC and ADC. The design prototype was taped out with the GSMCR130 nm technology. Test results show that this circuit can handle up to 11 consecutive cases, with the minimum time interval of adjacent cases being 500 ps and the bin size up to 2 ps. The time measurement precision is better than 50.3 ps RMS and the PVT(Process Voltage Temperature) robustness of the input delay chain circuit is validated, showing the stable performance of the design.
Detection of Clostridioides difficile infection by assessment of exhaled breath volatile organic compounds
Authors: John Teny M , Shrestha Nabin K , Hasan Leen , Pappan Kirk , Birch Owen , Grove David , Boyle Billy , Allsworth Max , Shrestha Priyanka , Procop Gary W , Dweik Raed A 
Published: March 2024

Abstract

Clostridioides difficile infection (CDI) is the leading cause of hospital-acquired infective diarrhea. Current methods for diagnosing CDI have limitations; enzyme immunoassays for toxin have low sensitivity and Clostridioides difficile polymerase chain reaction cannot differentiate infection from colonization. An ideal diagnostic test that incorporates microbial factors, host factors, and host-microbe interaction might characterize true infection. Assessing volatile organic compounds (VOCs) in exhaled breath may be a useful test for identifying CDI. To identify a wide selection of VOCs in exhaled breath, we used thermal desorption-gas chromatography-mass spectrometry to study breath samples from 17 patients with CDI. Age- and sex-matched patients with diarrhea and negative C.difficile testing (no CDI) were used as controls. Of the 65 VOCs tested, 9 were used to build a quadratic discriminant model that showed a final cross-validated accuracy of 74%, a sensitivity of 71%, a specificity of 76%, and a receiver operating characteristic area under the curve of 0.72. If these findings are proven by larger studies, breath VOC analysis may be a helpful adjunctive diagnostic test for CDI.
Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model
Authors: Azmin Nurul Shafiqah Hazelin Noor , Pa’suya Muhammad Faiz , Din Ami Hassan Md , Aziz Mohamad Azril Che , Othman Noorhurul Ain 
Published: March 2024

Abstract
Geoid represents Earth’s surface, ocean, and gravitational field, which influence the elevations, shape, and mass distribution of the geopotential surface, a hypothetical surface that is perpendicular to the direction of gravity at every point. This geopotential surface serves as a reference for measuring elevations and is used as a fundamental reference surface for geodetic and surveying purposes. In this study, the Least Squares Modification of Stokes Formula (LSMS) with Additive Corrections (AC), also known as the KTH method, is used to generate a new gravimetric geoid model for Peninsular Malaysia. The KTH method was developed at the Royal Institute of Technology (KTH) in Stockholm-Sweden. The dataset used is the most recent global digital elevation model, Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global, generated by the National Aeronautics and Space Administration (NASA) and the National Imagery and Mapping Agency (NIMA). In addition to this elevation data, the dataset includes the Global Geopotential Model (GGM), which is composed of the XGM2016, XGM2019e, Tongji_GGMG2021S, and Tongji-Grace02k models. Furthermore, it incorporates sets of regional gravity data, including terrestrial gravity, airborne gravity, and marine gravity anomalies, all of which are derived from the Technical University of Denmark (DTU 21). The actual 45 Global Navigation Satellite System (GNSS)-levelling points data have been compared to the gravimetric geoid model developed in this study and the geoid acquired from Department of Survey and Mapping Malaysia (DSMM). According to the statistical results, NXGM2019e provides better accuracy, with the Root Mean Square Error (RMSE) geoid model errors of ±0.033 m, compared to the deviations in free-air anomalies, XGM2019e, which has the minimum RMSE of 10.291 mGal. Meanwhile, Tongji-GMMG2021S has the maximum RMSE of 14.792 mGal. The geoid is derived from the XGM2019e model and has maximum and minimum values of 0.032 m and 0.147 m, respectively, with mean residuals of 0.089 m. In conclusion, the XGM2019e has the potential to determine a precise local geoid model for Peninsular Malaysia