bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of white noise on roughness measurements of self-affine fractals
Authors: Kizu Ryosuke , Misumi Ichiko , Hirai Akiko , Gonda Satoshi , Takahashi Satoru 
Published: June 2023

Abstract
This study formulated and clarified the presentation of the noise-related error terms in the power spectral density (PSD) and height–height correlation function (HHCF) through a roughness analysis of self-affine fractals. Assuming the noise as white noise, this study simulated the PSD and HHCF of the noisy roughness profile in a typical situation: line-edge roughness measurements involved in semiconductor lithography technology. It was found that conventional noise-correction techniques can bias the PSD/HHCF from those of the true roughness profiles because they do not account for the residual noise-induced error. The findings obtained from the roughness analysis and simulation techniques are expected to benefit various applications, such as clarifying the quantitative residual error in specific situations, selecting the optimum analysis method (PSD or HHCF), estimating the required number of averaged profiles (measurements) that yields sufficiently small noise errors, and considering strategies for noise reduction.
Exploiting subspace constraints and ab initio variational methods for quantum chemistry
Authors: Gustiani Cica , Meister Richard , Benjamin Simon C 
Published: June 2023

Abstract
Variational methods offer a highly promising route to exploiting quantum computers for chemistry tasks. Here we employ methods described in a sister paper to the present report, entitled exploring ab initio machine synthesis of quantum circuits, in order to solve problems using adaptively evolving quantum circuits. Consistent with prior authors we find that this approach can outperform human-designed circuits such as the coupled-cluster or hardware-efficient ansätze, and we make comparisons for larger instances up to 14 qubits Moreover we introduce a novel approach to constraining the circuit evolution in the physically relevant subspace, finding that this greatly improves performance and compactness of the circuits. We consider both static and dynamics properties of molecular systems. The emulation environment used is QuESTlink all resources are open source and linked from this paper.
The Large Array Survey Telescope—System Overview and Performances
Authors: Ofek E. O. , Ben-Ami S. , Polishook D. , Segre E. , Blumenzweig A. , Strotjohann N.-L. , Yaron O. , Shani Y. M. , Nachshon S. , Shvartzvald Y. , Hershko O. , Engel M. , Segre M. , Segev N. , Zimmerman E. , Nir G. , Judkovsky Y. , Gal-Yam A. , Zackay B. , Waxman E. , Kushnir D. , Chen P. , Azaria R. , Manulis I. , Diner O. , Vandeventer B. , Franckowiak A. , Weimann S. , Borowska J. , Garrappa S. , Zenin A. , Fallah Ramazani V. , Konno R. , Küsters D. , Sadeh I. , Parsons R. D. , Berge D. , Kowalski M. , Ohm S. , Arcavi I. , Bruch R. 
Published: June 2023

Abstract
The Large Array Survey Telescope (LAST) is a wide-field visible-light telescope array designed to explore the variable and transient sky with a high cadence. LAST will be composed of 48, 28 cm f/2.2 telescopes (32 already installed) equipped with full-frame backside-illuminated cooled CMOS detectors. Each telescope provides a field of view (FoV) of 7.4 deg2 with 1.″25 pix−1, while the system FoV is 355 deg2 in 2.9 Gpix. The total collecting area of LAST, with 48 telescopes, is equivalent to a 1.9 m telescope. The cost-effectiveness of the system (i.e., probed volume of space per unit time per unit cost) is about an order of magnitude higher than most existing and under-construction sky surveys. The telescopes are mounted on 12 separate mounts, each carrying four telescopes. This provides significant flexibility in operating the system. The first LAST system is under construction in the Israeli Negev Desert, with 32 telescopes already deployed. We present the system overview and performances based on the system commissioning data. The B
p 5σ limiting magnitude of a single 28 cm telescope is about 19.6 (21.0), in 20 s (20 × 20 s). Astrometric two-axes precision (rms) at the bright-end is about 60 (30) mas in 20 s (20 × 20 s), while absolute photometric calibration, relative to GAIA, provides ∼10 millimag accuracy. Relative photometric precision, in a single 20 s (320 s) image, at the bright-end measured over a timescale of about 60 minutes is about 3 (1) millimag. We discuss the system science goals, data pipelines, and the observatory control system in companion publications.
Impact of short-term and long-term energy storage units on power system operation economy: A parametric linear programming method
Authors: Lv Qi , Zhou Min , Zheng Boshen , Zhang Chongbiao , Wei Wei 
Published: June 2023

Abstract
This paper evaluates the economic impact of short-term and long-term energy storage capacity on power system operation cost. First, the unit commitment (UC) model with short-term and long-term energy storage comprising a year-round hourly operation simulation is established to minimize the optimal operation cost. By introducing the convex hull of the original feasible region of decision variables, the integer variables in UC model are relaxed as continuous variables, transforming the UC problem as a linear programming (LP). Then, by regarding the power and energy capacities as parameters, the LP is cast as a multiparametric linear programming (mp-LP), where the optimal value function (OVF) is explicitly expressed as a piecewise linear function of the capacity parameters. An approximation method is used to calculate the analytical optimal value function and critical regions. The analytical expression of OVF contains rich sensitivity information. Finally, case studies validate our proposed method and provide visualization results. The sensitivity information of analytical OVF is exploited. As a potential application, the economic evaluation results could be applied in energy storage capacity sizing.
Efficiency Optimization of Asynchronous Motor with Particle Swarm Algorithm Incorporating Parameter Identification
Authors: Tong Di , Guo Zhen , Zhao Yan-cheng , Chen Shuang , Nai Ji-qiu , Ye Ming-hao 
Published: June 2023

Abstract
Asynchronous motors are commonly utilized in industrial and agricultural production due to their inexpensive manufacturing cost and reliable structure. However, due to the demands of production and everyday usage, these motors may be operated at no or light load for long periods of time, resulting in a decrease in the efficiency of the motor system. A model-referenced adaptive parameter identification in combination with a particle swarm algorithm is proposed in this paper to enhance the operating efficiency of asynchronous motors. This control strategy can reduce motor power loss and improve efficiency. Simulation model is established and simulation results are provided to verify the feasibility of the proposed control strategy for optimizing the efficiency of asynchronous motors.
Study on Abnormal Heat of Polymeric Insulators on Coastal Power Transmission Line
Authors: Hu Junhua , Yin Jungang , Xu Hua , Zhou Yangyang , Wu Huiling , Wang Senlin , Pan Shuyan 
Published: June 2023

Abstract
Heating at the high-voltage end has become one of the most frequent defects on polymeric insulators in service, particularly in humid and hot regions. Recent case surveys show that some highly overheated sample insulators survive almost all the standardized lab tests, which could not be fully explained by common related heating factors, including the fracture defects, superficial wet pollution, water absorption and moisture of polymeric housing, uneven sunlight, etc. In this paper, we try to find an alternative perspective to explain the temperature rise in the order of 10°C by studying the relationship between the heat at the high-voltage end and the degree of corrosion on a cast aluminum grading ring.
Peaking Capacity Market Design and its Demand Evaluation Method
Authors: Geng Lin , Zhang Lei , Xu Danlei , Meng Fanlin , Shi Puxin 
Published: June 2023

Abstract
In order to achieve the major strategic goal of carbon peaking by 2030 and carbon neutralization by 2060, a new power system with new energy should be built to create a clean, low-carbon, safe and efficient energy system, and further promote the construction of the power market. It is necessary to build a peaking capacity market to ensure the safe and stable operation of the power grid. In the paper, a peaking capacity market mechanism is designed to encourage thermal power units to strengthen equipment transformation, operation and maintenance, and reduce the unscheduled shutdown of thermal power units. Key processes of the market including market demand evaluation, bidding, clearing, settlement are introduced. Based on the market operation, the power generation capacity of thermal power resources is expected to be fully enhanced during peaking periods of power system to ensure the system-wise capacity adequacy.
Remote Sensing Ship Detection and Classification Based on Improved BBAVectors Algorithm
Authors: Zeng Youran , Yu Haiyan , Wang Jie 
Published: June 2023

Abstract
In recent years, most of remote sensing object detection algorithms only pursue higher detection accuracy, which use two-stage anchor-based networks. However, the two-stage anchor-based network usually has many parameters, complex calculation, and low detection speed, which is not suitable for object detection tasks with real-time requirements. BBAVectors is a network based on the one-stage anchor-free type CenterNet architecture. It has a fast detection speed, but the detection accuracy is far lower than the current high-precision remote sensing object detectors. In order to improve the detection accuracy of BBAVectors so that it can be better used in real-time remote sensing ship detection and classification, we propose the BBAV-ACPP. Based on the BBAVectors architecture, we add the Coordinate Attention Module and modify the center point representation. The proposed BBAV-ACPP architecture is trained and tested on the public remote sensing ship dataset HRSC 2016. Experiments show that the proposed BBAV-ACPP architecture can improve the detection accuracy while maintaining a fast detection speed. In some remote sensing ship detection tasks with real-time requirements, BBAV-ACPP can detect ship targets quickly and accurately.
Research on collaborative planning model of main distribution network frame structure and distributed power generation
Authors: Ren Xiaofeng , Wang Dong , Gao Hailong , Yang Pei , Li Jinghao 
Published: June 2023

Abstract
The electric power industry is going through a relatively large transformation period of energy development, and new electric power equipment such as distributed power supply has emerged as the times require. However, there is often a problem of insufficient coordination between the grid frame and distributed power in the main distribution network. This paper starts with the two main stakeholders, namely, the distributed generation operator and the distribution system operator, to build a two-level collaborative planning model for the main distribution network. With the help of particle swarm optimization algorithm and genetic algorithm with improved constraint factors, the model is solved. In the optimization process, two different scenarios are set, including and not including the distributed generation output, for comparative analysis, the comprehensive cost of the collaborative planning model with distributed generation output is less than that of the collaborative planning model with traditional generation output. The results show that the model in this paper can not only optimize the overall line, but also reduce the excessive investment of the main distribution network, which is more in line with the future development of my country’s power industry, can improve the profits of related enterprises, and achieve a win-win effect.
Visible Joint Classification and Temporal Segment Matching based 3D Pose Refinement for Volleyball Receive Analysis
Authors: Shang Xiaoyu , Liu Yanchao , Cheng Xina , Ikenaga Takeshi 
Published: June 2023

Abstract
Receive action pose analysis is very meaningful in volleyball games for training and strategy. Because receive action is lack high-quality labeled data sets and with problems like occlusion, body overlap, and abnormal pose. Conventional work fails to obtain high accurate pose results. This paper proposes visible joint refinement and receive action template matching for volleyball receive action analysis. Firstly, the visible joint is using pixel color feature and the potential constraint features between space and joints to classify the visible joint and refine the error visible joint. Secondly, the template is to realize the pose segment refinement at 3D level by matching. It is based on a multi-view system for a real volleyball competition scene. The dataset video is from the Game of 2014 Japan Inter High School of Men Volleyball. The experiment result achieves 95.33 %, 96.92 %, and 98.43 % success rate at the 30 mm, 50 mm, and 70 mm error ranges.
Mechatronic design of a modular artificial honeycomb for the automatic extraction of honey from Apis Melliferas bees in Huancayo, Peru
Authors: Paitan Cardenas Jose A , Povez Nuñez Vrigel K , Zarate Peña Frank W 
Published: June 2023

Abstract
This research develops the mechatronic design of an artificial honeycomb for Apis Melliferas bees, which allows the automatic extraction of honey in the farms of the province of Huancayo, Peru, since Junin produces 208.26 tons of honey annually with traditional and obsolete techniques. This design was executed under the German VDI 2221 standard and contemplates the mechanical, electronic and control system, which are dimensioned according to the theories and laws of: distortion energy, polynomial 3 4 5, involute curve gears, Kirchhoff, Ohm, on-off control, among others. It was possible to design, in Inventor, the honeycomb structure whose cells have a 19° slope for the honey gravity flow, a gear-rack-gear system for the transmission of torque from the servomotor to the cam shaft to move the grid, which opens the flow duct; also, it was possible to design, in Proteus, the electronic system made up by the Arduino UNO, a servomotor of 2. 5 Kg-cm servomotor with rotation restricted to 110° and the 15mm force sensor; finally, the actuator control and the monitoring of the weight according to the on-off logic were programmed in Arduino IDE. According to the simulations performed, the design is technologically feasible.
A Physiological Control for Artificial Heart Pump based on Adaptive Regulation of Heart Rate and the improved BAS Algorithm Optimization
Authors: Liu Xin , Qu Hongyi , Meng Lingwei , Huang Chuangxin , Ma Pengfei , Wang Cong , Wang Qiuliang 
Published: June 2023

Abstract
In order to solve the problem that the traditional artificial heart pump has poor dynamic bionic performance and cannot respond to blood perfusion in real time according to the patient’s state, this paper proposes a new physiological control method based on adaptive adjustment of heart rate. Firstly, a coupled model of the cardiovascular circulatory system and artificial heart pump was established, and the correctness of the model is verified by hemodynamic simulation. Secondly, according to the model-free adaptive control theory, the artificial heart pump physiological control strategy for adaptive regulation of heart rate is designed, including pseudo partial derivative estimation algorithm and adaptive control law. Then, the parameters of the adaptive controller are optimized by the improved beetle antennae search algorithm. Finally, the auxiliary effect and dynamic performance of the adaptive control strategy are studied by numerical methods. The results show that the physiological control method based on adaptive regulation of heart rate realizes the adaptive modulation of heart rate and blood flow, which can meet the needs of blood perfusion in different states and help to promote the recovery of damaged heart.
Key Points Trajectory and Predicted-Real Frames Distinction based Mirror and Glass Detection for Indoor 5G Signal Analysis
Authors: Wang Ziyue , Liu Yanchao , Cheng Xina , Ikenaga Takeshi 
Published: June 2023

Abstract
Mirror and glass are ubiquitous materials that heavily influence the transmission of indoor 5G signals with extremely high frequency. The existing vision system always tends to neglect them or misdiagnose them, which is unsuitable for 5G signal analysis in the 3D indoor environment. This paper proposes key points trajectory distinction and predicted-real frames distinction to detect mirror and glass regions in video sequences. Firstly, key points trajectory is used to extract the special motion information of reflection in mirror and glass region. Secondly, predicted and real frames distinction is used to remove the wrong detection region at the pixel level. Extensive experiments demonstrate that the proposed method achieves 40 - 50 % accuracy higher than another related state-of-the-art method for mirror and glass detection in the general 3D living environment.
Electromagnetic Interference of Unmanned Aerial Vehicle in High Voltage Environment
Authors: Li Xuecheng , Wang Shaolong , Li Haofeng , Zhou Yulong , Guo Haitao 
Published: June 2023

Abstract
The X-ray inspection of wire clamps is used more and more widely. X-ray detection uses UAV (Unmanned Aerial Vehicle) to inspect the clamp with high voltage, which directly contacts the electrified wire clamp. When the strength of the overhead transmission line exceeds the air breakdown strength, extreme discharges will occur, so the control and data transmission performance of the UAV is influenced, and even cause a crash. The electromagnetic interference can also cause the wrong magnetic compass, lead the UAV fails to take off. The UAV and Ray detection systems electromagnetic shielding is analyzed in this article. The simulated online test shows that the electromagnetic protection measures for electrified clamp online X-ray detection with UAV are workable.
Energy Conservation and Loss Reduction Strategy of Active Distribution System with Distributed Photovoltaic Resources Considering Conservation Voltage Reduction
Authors: Lin Qian , Yu Kai , Sun Yandong , Ma Jinliang , Li Mingming , Wang Feifei , Feng Tianyuan 
Published: June 2023

Abstract
With the massive distributed photovoltaic resources and multi-load connected to the distribution network, network loss and energy consumption have become two of the most important issues. To solve this problem, an energy conservation and loss reduction optimization strategy for active distribution network (ADN) considering conservation voltage reduction (CVR) is proposed. First, the probability density distribution of photovoltaic resources output prediction error is fitted by the Gaussian mixture model (GMM) to simulate the random characteristics of distributed photovoltaics. Second, according to the multiple load types, the load controlled by CVR is modeled, cooperating with the on-load tap changer (OLTC) to achieve energy reduction. Finally, the controllable resources are co-optimized to maintain the voltage level while saving energy. Case studies on the modified IEEE-33 node distribution network verify the applicability of the strategy.
Key Factors Affecting the Capacity Value of New Energy and Sensitivity Analysis
Authors: Xu Zhicheng , Xie Feng , Lu Gang 
Published: June 2023

Abstract
The capacity credit (CC) of new energy describes the contribution of new energy to capacity adequacy and power system reliability. Many factors affect the CC of renewable energy systems. It is necessary to study various measures to improve the capacity credit of new energy. In this paper, the CC assessment model of a (photovoltaic) PV power plant based on the effective load carrying capability (ELCC) method is established by the universal generating function method. In addition, the sensitivity analysis of eight different key factors affecting the CC of photovoltaic power plants, such as PV penetration, number of PV output states, PV module failure characteristics, and other eight key factors, is carried out to point out how various factors affect the CC of the new energy. Analyzing the degree and depth of influence of key factors on new energy CC, which can provide reference for new energy CC.
Energy Storage Optimization Method for Flexible Interconnected Low-voltage Distribution Network Based on Positive Semi-definite Programming
Authors: Wang Chenqing , Huang Lulu , Xiong Xiong , Hu Pengcheng 
Published: June 2023

Abstract
With the fast development of the electricity market, the number of small and medium-sized new energy generation in the urban low-voltage distribution networks is increasing. These “retail investors” hope to sell the extra electricity for financial gain. However, these renewable energy generation units have small capacity and obvious intermittent output. Thus, they can not be added to the operation of the power system alone. In this paper, the model is understood from the perspective of optimization theory, and the solution method is given. The optimization problem of the model is given, and the required gradient and Hessian functions are defined. By applying mathematical induction and the properties of the special matrix column, a decomposition formula of the matrix column is derived. Through using this inequality and the standard decomposition of a positive semi-definite matrix, a feasible scheme is formed. The eigenvalue relationship between the sum of elements of a positive semi-definite block matrix and its quasi-diagonal block is given under certain conditions, while the number of such blocks is not required. The standard form of the dual problem is drawn by the method of Lagrange multipliers, and the relationship between the dual solution and the solution of the original problem is studied. The stability of the system is further improved, which provides reference significance for improving the utilization rate of photovoltaic new energy, optimizing the charging and discharging of the energy storage system, and ensuring the safe and reliable operation of the distribution network.
Research on Fuzzy Energy Management Strategy of Hybrid Energy Storage System for Novel Power System
Authors: Huang Cunqiang , An Juan , Liu Qingbiao , Yin Lu , Wang Wei 
Published: June 2023

Abstract
Supercapacitors have great power characteristics and can respond to high-frequency volatility and high-power load of lithium batteries. In a hybrid energy storage system (HESS), the introduction of supercapacitors is an effective scheme to reduce the load pressure and charge/discharge current fluctuation of the battery, which can reflect the high energy density characteristics of lithium batteries and extend the life of lithium batteries. To solve the problem of capacity configuration and energy allocation management of HESS, this paper first researches the dynamic programming model of HESS. Taking the minimum life decay increment of lithium batteries as the optimization objective, the energy distribution scheme of the HESS with the minimum life decay of lithium batteries under different supercapacitor configurations is obtained. Then, according to the decay rate of a unit supercapacitor to the capacity decay increment of lithium batteries, the optimal parameters of supercapacitors are selected, and the fuzzy energy management strategy based on the optimal allocation feature of dynamic programming is proposed. Finally, the simulation results show that compared with the traditional filtering algorithm, the reduction of the lithium battery life attenuation of the proposed scheme is about 2.52 times that of the filtering allocation scheme.