bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Clock Acquisition and Correction Technology of Measurement Equipment
Authors: Ye Aliaosha , Zheng Guoquan , Zhu Enguo , Hou Shuai , Cheng Qian , Liu Zhe
Published: November 2022

Comprehensive energy metering and electricity market-oriented transactions under the dual carbon goals put forward higher requirements on the accuracy of metering equipment clocks. The existing inventory of metering equipment has complex specifications, complex communication methods, and difficult management. Because of different production years, the old version of the metering equipment has poor clock retention capability and insufficient automatic time synchronization function. In order to solve the problems of clock accuracy and time management of metering equipment, a wide-area hierarchical collection and synchronization technology of clocks is designed, a technical framework for clock collection and synchronization of equipment at all levels of the system is constructed, and the normal state of system equipment is strengthened and maintained through the method of serial broadcast time calibration. Clock, designed a time-calibration protocol for object-oriented metering equipment. This technology has been applied to the clock management of on-site metering equipment, and the qualified rate of metering equipment clocks has reached more than 95%, which has improved the automation level of metering equipment clock management, the efficiency of time schooling, and the timely rate of time schooling.
A New Energy Power Forecasting Method using Neural Networks with Autocorrelated Errors
Authors: Qu Jianzhang , Lu Kuan , Ding Haotian , Li Jun , Gao Song , Wang Yuqi , Liu enren
Published: November 2022

With the transformation and upgrading of the energy structure, the installed capacity and power generation of new energy have continued to grow in recent years. Due to the randomness of new energy, the impact on the grid will increase with its large-scale grid connection. Therefore, in order to ensure the stability of the power grid, it is necessary to make a reasonable forecast of the new energy power. So far, there have been many authors using deep methods to perform new energy power forecasting. However, these methods usually assume the errors of the model across different time steps are independent, which is inaccurate because of the temporality of the series. In this paper, a method that combines neural networks with autocorrelation errors is proposed for new energy power forecasting. Through the ablation experiments in difference datasets, we verify the effectiveness of the methods.
Saturated PI Optimization Induction Motor with Integral
Authors: Ding Zhilin , Bu Wenping , Cai Xing , Huang Liang , Ke Ziquan
Published: November 2022

A high precision feedback control system with a given excitation current speed vector modulation and an integral saturated PI regulator is proposed for multi-scenario application of induction motor with wide speed and load in machine tool processing. Considering the characteristics of the variable range of voltage and current of the induction motor, the constraints of the excitation current of the motor and the slip frequency and other factors, the angular velocity vector of the induction motor, the given excitation current and the given speed variable are extracted as the adjusting variables of the feedback speed loop, and the transformation is carried out in combination with the relationship between the speed and the voltage of the modulation vector. The speed, torque, flux and three-phase stator current variables of the induction motor under the condition of constant torque, constant speed and torque and speed variables change were observed. By comparing the performance improvement of the proposed method with that of the conventional method, the effectiveness of the proposed method and the optimization characteristics of parameters were verified.
A Method for Measuring Capacitive Current in Arc Suppression Coil Grounding System
Authors: Xia Lei , Wu Hai , Hu Guo , Hu Song
Published: November 2022

With the rapid development of the national economy, the system cabling rate continues to improve, the system capacitive current continues to increase, and the arc suppression coil grounding method is more and more widely used. Among them, the pre adjustable turn adjustable arc suppression coil accounts for the highest proportion. How to accurately, quickly and real-time measure and calculate the capacitive current of the system is the foundation to realize the automatic tracking and compensation of the arc suppression coil, It is also the key to reliably extinguish the arc and reduce the influence range of the fault when the single-phase grounding fault occurs in the system. Based on the analysis of the variation law of the capacitive current in the distribution network neutral grounding system through the arc suppression coil, this paper proposes a new method for measuring the capacitive current based on the resonance point curve fitting, which is suitable for the pre adjustable turn adjustable arc suppression coil grounding system, and verifies its reliability and accuracy through simulation.
Microgrid operation measurement evaluation method based on blockchain technology
Authors: Li Guocheng , Fan Jianjun , Hu Guorui , Sun Zhonghao , Hao Ran , Liu Chengzhi , Fan Mizhi , Ma Long , Li Zhimin
Published: November 2022

As the power market reform continues to deepen, microgrid plays an increasingly important role in promoting the local consumption of new energy and environmental protection. Therefore, it is of great significance to study the power market transaction with the participation of multiple microgrids.Blockchain technology is being used in many industries due to its decentralized and reliable data.This paper analyzes the advantages of the application of block chain in the micro-grid market, combines the advantages of block chain with the micro-grid market, and proposes a transaction architecture of the micro-grid market based on block chain technology.At the same time, this paper proposes a two-level optimization method.Finally, in this paper, through the simulation analysis method in promoting micro network market transactions, to improve the validity of the participants income by using the immune particle swarm optimization (PSO) algorithm to solve the model analysis.
Control strategies for large industrial users to participate in interruptible load response considering production characteristics
Authors: li Jingbo , Ding Liqiong , Li Shuxia , Xi Yue , Guo Xia , Han Yingzhu , Liu Dunnan
Published: November 2022

The interruptible cost benefit of large industrial users is an important factor to decide whether to participate in interruptible load management, which has a direct impact on users’ interruption and the choice of interruption strategy. Different industrial users have different production processes and electricity consumption characteristics. This paper first analyzes the production and power consumption characteristics of users, then analyzes the cost and benefit of large industrial users participating in interruptible load response, as the basis for judging whether users are willing to participate in interruptible load response. Finally, the case study can provide some guidance for enterprises to formulate the response strategy of interruptible load.
Influence Analysis of Distributed Generation on Reliability of Distribution Network
Authors: Zhao Jianbo , Zhang Wei , Du Tao , Hui Hui , Shi Changkai , Li Dongsheng , Li Rui , Cai Shengxia
Published: November 2022

As more and more distributed generation (DG) are added to the distribution network, the safe and reliable operation of the distribution network is challenged. Firstly, in order to quantify the benefits of energy storage improving distribution network reliability, a value model of energy storage improving distribution network reliability is established. Then, in order to calculate the load range that can be supplied by the energy storage when the failure occurs, a probability distribution model of the remaining energy storage when the failure occurs is established, and islands are divided according to the output of wind power and photovoltaic. Then, based on the sequential Monte Carlo simulation method and Latin hypercube sampling, the reliability of wind storage and distribution network is evaluated. Finally, the influence of different energy storage capacity on the reliability of distribution network is obtained through simulation calculation.
Multi-target Programming Method for Active Distribution Network Considering the Multiple Collaborative Interaction Effect
Authors: Zhou Lihua , Wang Hanyun , Jiang Jianjie , Yang Bin , Shao Yue , Gan Wen , Feng Xia , Huang Haibo
Published: November 2022

The effect of indeterminacy of distributed generation should be fully considered in the planning of active distribution network. Based on the conventional load forecasting, the trusted output model of distributed generation connected to active distribution network is built. Thinking the influence of load demand side response on the forecasted load results, a distribution network load forecasting model considering the multiple synergistic interaction effect of source, load and storage is proposed. Based on the results of load forecasting, a double-deck multi-objective programming model of active distribution network is established. The upper deck function is the problem of power grid optimization planning, and the goal is to minimize the annual network comprehensive cost; The lower level programming model determines the active power output of manageable resources such as energy stored based on the typical daily system operation economy under the grid achieved by the upper part planning. Through the optimization solution, the distribution network planning scheme and the location and capacity scheme of energy storage under the active management mode are obtained. In result, we use an active distribution network in Shanghai to prove the scientificity and effectiveness of the proposed programming method
Double-deck programming method for areal energy optimal allocation in active distribution network
Authors: Zhou Lihua , Tan Jiangjun , Xu Changxiang , Huang Jihua , Shao Yue , Feng Xia , Zheng Wei , Wang Yao
Published: November 2022

With the problem of worldwide energy and environment become more and more serious, the method that increasing power sources and the investment of substation construction is difficult to meet the rapidly growing power demand. From the theory of comprehensive resource strategic planning and the perspective of the whole society, consider the generalized power supply such as the photovoltaic power supply and interruptible load, establish double-deck programming model for areal energy optimal allocation in active distribution network. The upper planning takes the construction of generalized power supply and the minimizing the total cost of power generation and pollution control as target, improve installed volumn of various power supplies; The lower target is minimizing the net loss, and select address and determine capacitance for generalized power supply. In result, this paper use simplex method and improving PSO algorithm to calculate it. The result of a 33 bus system’s simulation say that the method has the more obvious effect of energy conserving and emissions reducing than the traditional method.
Effect of passive commutation on heat transfer and flow characteristics of non-circular pipes
Authors: Liu Qin , Geng Liping
Published: November 2022

Based on the need for energy-saving and consumption reduction in industrial applications, the effect of an internal concave structure on a heat exchanger tube with a right-angle trapezoidal cross-section and changing the flow direction on the heat transfer and flow characteristics in the tube was investigated. CFD techniques were used to study the effect of the inner concave structure with 15mm and 30mm center spacing and 1.88mm and 3.75mm radius of curvature on the heat transfer and flow characteristics of air under turbulent flow conditions in the range of Re13349 to 57847, and the heat transfer law was explored in terms of the combined heat transfer performance PEC and the coefficient of variation of the convective heat transfer coefficient and verified to be consistent with the field The effect of the variation of the synergy angle was confirmed. The results show that the PEC of the pipe is enhanced with the increase of the inner concave radius and the decrease of the inner concave center spacing.
Active-reactive power collaborative optimization model of electrical interconnection system based on deep learning under the goal of “carbon neutrality”
Authors: Wang Xue
Published: November 2022

With the goal of carbon neutralization put forward, new energy units have gradually become the main power supply, and its volatility has brought great challenges to the control and optimization of the system, especially the distribution network. In order to solve the reactive power problem caused by the high proportion of renewable energy connected to the distribution network, a source network load storage centralized optimal dispatching model considering reactive power optimization and multi energy collaborative interaction is proposed. The model aims at the optimal operation cost, minimum network loss and minimum carbon emission of the multi energy system, and considers reactive power compensation, energy storage regulation and energy conversion, so as to realize the safe and low-carbon economic dispatching of the electrical interconnection system. The switching capacity of the discrete reactive power compensation device is linearized, and the model is transformed into a mixed integer second-order cone programming problem for solution. The simulation results show that the proposed method can effectively compensate the reactive power required by the wind turbine parallel network, coordinate the energy interaction between electricity and gas, and improve the stability and flexibility of the distribution network after large-scale renewable energy access, According to the charging and discharging power and charge state, and the automatic adjustment of the gears of on load voltage regulating transformer and compensation capacitor bank, this paper shows that the system has safe and stable operation performance.
Experiment and Simulation Study on the Heating Performance of Air Conditioners under Variable Working Conditions
Authors: Yang Maoli , Zhou Wenping , Liu Xiangshu , Zhou Yu , Zhang Jiayong , Qiang Rui
Published: November 2022

In this paper, the performance experiments and simulation studies on air conditioning heating under various fan frequencies were conducted using the air conditioning heating experimental device, and the key factors affecting air conditioning were studied. The experimental study concluded that with the gradual increase of fan frequency, the suction and discharge temperatures of the compressor, the outlet temperature of the heat exchanger, the mass flow of the air duct, and the thermal power consumption showed a gradually increasing trend. From the simulation study, it was found that by simulating the temperature field of the outlet temperature of the heat exchanger under different fan frequencies, and making a relative error with the outlet temperature of the experimental heat exchanger, the relative error is 2.5% at most; while simulating the velocity field of the experimental velocimetry tube flow rate and making a relative error with the experimental velocimetry tube flow rate, the maximum relative error was 1.8%. The research shows that the simulation calculation is highly consistent with the experimental results, which provides a direction and theoretical basis for the study of better air conditioning performance and optimal design.
Establishment and experimental verification of 3D model of electrothermal film heating room
Authors: Wang Jingkai , Zhao Lei
Published: November 2022

Based on turbulence simulation and thermal radiation theory, the physical and mathematical model of electric heating film heating room is established, the appropriate grid form is selected to be meshed, reasonable boundary conditions are set, and the grid independence test is carried out and combing with the experimental test results, the correctness of the model is verified. The results show that the simulation results are consistent with the experimental results, and the maximum error is 13%, indicating that the simulation model is accurate enough. The simulation model provides ideas for related research in the field of electrothermal film heating.
Numerical simulation of entrained flow gasification based on properties and kinetic characteristics of pulverized coal particles
Authors: Ge Zhihong , Jiang Congbin , Zhou Quan , Xing Jingwen , Chen Wei , Wei Zhaofu , Guo Jinjun , Ding Jianping
Published: November 2022

Gasification kinetic parameters of coal char based on the random pore (RPM) model are obtained with CO2 and H2O using a high-pressure thermogravimetry analysis (TGA) under atmospheric pressure and 4.0 MPa pressure, considering the influence of internal diffusion and particle structure varying with carbon conversion. The Chemical Percolation Devolatilization (CPD) model is used to modify the actual volatile content. Through the coupling of the gasification kinetic reaction model, a comprehensive numerical simulation method of the entrained flow gasification process is established. This method is used to simulate the typical gasifier of HTL (a gasification technology of Changzheng Engineering Co.) in an industrial plant. The research shows that the intrinsic reaction parameters obtained by TGA under high pressure can give a more reasonable reaction state of coal char particles in the gasifier than that measured under atmospheric pressure, and the simulation results are in good agreement with the industrial data. In addition, HTL adopts a single top-fired burner and multi-channel swirling feed type. The particles are entrained and mixed with swirling oxygen, and the combustion reaction is completed quickly in the upper part of the gasifier. In contrast, the gasification reactions are relatively slow and mostly dominate in the recirculation zone and pipe flow zone, leading to high carbon conversion.
Research on transient response of tower-line system under wind field based on finite element simulation
Authors: Fan Weinan , Liu Junxiang , Mo Wenxiong , Luan Le , Wang Yong , Xu Zhong
Published: November 2022

Most of the transmission poles and towers are built in the wild, and are often subjected to various loads such as wind, rain, ice and snow, especially the collapse of the tower caused by wind disasters. In order to study the response characteristics and disaster risk of towers under the wind field, this paper takes a 110kV transmission line as an example, and builds a “three towers and two lines” model based on ANSYS. Relevant specification parameters are calculated for the tower and conductor loads in this wind field, and the wind pressure time history is generated; based on the ANSYS transient analysis, the load wind pressure time history is used to analyze the dynamic response of the tower line, and the model is obtained in the static and dynamic wind field. Under the stress and displacement results, the response characteristics were analyzed. The research results can provide reference for tower design and line disaster prevention and mitigation.
Pipe Thread Parameter Detection System Based on Machine Vision
Authors: Li Yingying , Wu Yuxiu , Zhang Donghong
Published: November 2022

In order to achieve non-contact pipe thread detection with high-precision, high-efficiency and make the use of pipe threads safer, using machine vision and image processing technology to measure and analyze the geometric parameters of pipe threads. The projection matrix and distortion coefficient of the camera are obtained by Zhang Zhengyou’s calibration method, and the distortion coefficient is used to correct the distortion of the collected image. After that, grayscale processing is performed on the RGB (Red, Green, Blue) image obtained by the collection and correction, fusion filtering and denoising, threshold segmentation to obtain the binary image, and then the Canny operator is used to detect the thread edge information on the binary image. Then the pipe thread parameter measurement algorithm is proposed based on the extracted pipe thread image characteristics. Finally, the feasibility of the measurement algorithm is verified by using the measured data of 60 sets of pipe threads. The test results show that the measured values of tooth height and crest height obtained by this algorithm are concentrated near the standard value, with high accuracy and precision, and the overall data fluctuation is small.
Session Recommendation Based on Edge Information Clustering
Authors: Ma Manfu , Yang Dongliang , Li Yong
Published: November 2022

Traditional session recommendation mainly uses the time sequence of users clicking items to construct a user session graph, which often ignores the similarity and differences between user groups. To improve the effect of recommendation, an E-SGNN (E-SGNN, Edge-Session Graph Neural Network) method combining edge information clustering and session recommendation is proposed. Firstly, similar users are clustered by edge information and divided into different session user groups. After extracting the data features of the user site relationship graph in the session, it is reset and updated through the gated graph neural network (GGNN); Secondly, a self-attention mechanism is introduced to adjust the proportion of users’ current preference and historical preference; Finally, the ranking score is obtained through linear transformation and softmax classifier. The higher the score, the more obvious the user’s preference for the item. Experiments show that compared with session-based graph neural network and cross-session information recommendation, the E-SGNN algorithm proposed in this paper has a significant improvement in recall rate and average reciprocal ranking. When the three edge parameters are combined, the recall rate reaches 98.97% and the average reciprocal ranking reaches 45.77%.
Flow Field Measurement and Display Technology Based on Hand-Held Probe
Authors: Song Jin , Xu Sheng , Zhang Weiguo , Gu Yi , Ma Jun
Published: November 2022

Measuring flow field information in wind tunnel is an indispensable basic condition for aerodynamic research. Traditional measuring equipments include phase Doppler particle analyzer, hot wire anemometer, particle image velocimeter, etc. Particle image velocimeter can visualize the flow field, but its installation and debugging are complicated. To obtain flow field information quickly and realize visualization, a kind of technology based on hand-held probe is designed. The velocity of the flow field is calculated by the probe, and the position and attitude information of the probe is obtained by a kind of visual measurement system (Optotrak system), The spatial velocity distribution is fused with the position and attitude information of the probe, and then the flow field in the test area is graphically displayed by interpolation with mathematical tools. By using this technique to carry out test in wind tunnels, taking segment of the airfoil as the test object, and the dynamic measurement of the probe at the rear of the airfoil, the complex vortical flow generated by segment of the airfoil is successfully plotted. The test result shows the device used in this technology is simple in structure and flexible in use and can quickly acquire flow field information, which provides a new method and idea for flow field measurement.
Accuracy Controllable SpMV Optimization on GPU
Authors: Liu Jie
Published: November 2022

Sparse matrix vector multiplication (SpMV) is a key kernel widely used in a variety of fields, and mixed-precision calculation brings opportunities to SpMV optimization. Researchers have proposed to store nonzero elements in the interval (-1, 1) in single precision and calculate SpMV in mixed precision. Though it leads to high performance, it also brings loss of accuracy. This paper proposes an accuracy controllable optimization method for SpMV. By limiting the error caused by converting double-precision floating-point numbers in the interval (-1, 1) into single-precision format, the calculation accuracy of mixed-precision SpMV is effectively improved. We tested sparse matrices from the SuiteSparse Matrix Collection on Tesla V100. Compared with the existing mixed-precision MpSpMV kernel, the mixed-precision SpMV proposed in this paper achieves an accuracy improvement.
Improvement of Vulnerable Code Dataset Based on Program Equivalence Transformation
Authors: Jing Dejiang
Published: November 2022

Code vulnerability dataset plays an important role in the development and evaluation of vulnerability detection tools. Aiming at the problem that programs in existing vulnerability datasets usually have simple structures and small scales, which is not satisfying for testing, we proposed a generator of complex code vulnerability dataset based on program equivalence transformation in this paper. It improves the complexity of program structure and code size while preserving the labels of the original case. Based on the PHP vulnerability test suite in Software Assurance Reference Dataset (SARD), a large number of complex cases were constructed and tested using two open-source PHP vulnerability detection tools RIPS and WAP. Experimental results show that the cyclomatic complexity and code size of the generated cases increase by about five times after transformation. The detection accuracy of the tools on the generated dataset decreases significantly compared with the results on the original dataset. The false positive rate increases by about 30%, and the false negative rate increases by about 10%.
Construction of Entity and Entity Relationship Annotation Corpus for Test Identification
Authors: Wang Bo , Xu Zixi , Huang Jianmei , Sun Teng , Mu Xiaofeng
Published: November 2022

Currently, the test identification corpus faces the problems of small scale, poor consistency and poor standardization, which is difficult to meet the needs of intelligent applications such as knowledge mapping, question answering system and knowledge reasoning. Based on the entity labeling system for test identification developed by CCKS evaluation conference, this paper developed and improved the labeling specification. On this basis, the original text of test identification was obtained through news, Wikipedia and other channels. The entities in the original text were manually labeled and collated by the annotator, and the entity annotation corpus for test identification was constructed. The corpus constructed in this paper has a total of 86,000 words, with a total of 5980 entities and 4982 entity relations. The consistency of multi-round annotation is 86% and 85%, respectively.
Material Decomposition of Dual-Energy CT Based on CBAM Attention U-Net
Authors: Zhang Xinrui , Li Lei , Yan Bin
Published: November 2022

Spectral CT has the ability of quantitative material analysis by exploring the difference in the attenuation properties under different X-ray energies, and has become an important direction for the development of CT technology. However, due to the non-linearity and inconsistency of the observation, there is noise boosting in material decomposition and serious decrease of basis material images. In this paper, we design a U-Net convolutional neural network structure with double-entry and double-out to realize the effective material decomposition of high- and low-energy images. When designing the network, we introduce the attention mechanism, and add CBAM modules combining channel attention and spatial attention to improve the overall performance of the network. We also design an ablation experiment to test the module from a vertical perspective, and compare the material decomposition performance of each network from a horizontal perspective. The results show that the proposed Attention U-Net (AT-U-Net) has advantages in reducing noise boosting and improving the quality of basis material images.
Pyramid Attention Based Early Forest Fire Detection Using UAV Imagery
Authors: Zhang Yongtuo , Chen Sheng , Wang Weiyi , Zhang Wei , Zhang Li
Published: November 2022

Early forest fire detection using unmanned aerial vehicle (UAV) imagery is widely implemented in recent years. However, as the size of moving object in UAV imagery changes dramatically, the issues of focusing more informative areas of an image, large-scale variation as well as temporal consistency preservation have yet to be resolved due to the wide field of vision of UAVs in flight. To address these issues, in this work, we concerned the visual characteristics of early stage forest fire in UAV imagery and employ pyramid attention mechanism. We engineered a novel convolutional neural network (CNN) based on the state-of-the-art backbone by stacking our proposed PyrAtten blocks. We built a large dataset of early stage forest fire, including real world aerial photographs shot using our UAV prototype. Extensive evaluation of PyrAtten demonstrates its efficiency and effectiveness in detecting multi-scale objects of fire and smoke in UAV imagery, even if the object takes up a very small proportion of the whole image. Compared with existing similarly-sized networks, average detecting accuracy of PyrAtten-ResNet-50 reaches 97.5%, with negligible increase in computational overhead.
Monitoring therapeutic proton beams with LGAD silicon detectors
Authors: Vignati A. , Abujami M. , Bersani D. , Borghi G. , Centis Vignali M. , Data E. , Ficorella F. , Galeone C. , Garbolino S. , Giordanengo S. , Hammad Ali O. , Martì Villarreal O.A. , Mas Milian F. , Mazza G. , Staiano A. , Wheadon R.J. , Cirio R. , Sacchi R. , Monaco V.
Published: November 2022

The University and the National Institute for Nuclear Physics of Torino are developing LGAD-based prototypes for beam monitoring in proton therapy. The direct measurement of single beam particles could overcome some features of currently used ionization chambers, such as slow charge collection and reduced sensitivity, which limit the implementation of advanced delivery techniques (e.g. rescanning). LGAD strip sensors have been designed and produced by Bruno Kessler Foundation (FBK, Trento) specifically for this project. A counter prototype to directly count individual protons at clinical fluence rates (106–1010 protons/cm2·s) and a telescope system to measure the beam energy with time-of-flight (TOF) techniques are described. Tests of LGAD silicon strip sensors performed on synchrotron and cyclotron beams of therapeutic centers, using a pin-hole ionization chamber for the independent measurement of the particle flux, already showed the possibility to keep the counting error <1% up to a beam fluence rate of few 108 protons/cm2·s. The ongoing tests of counting sensors readout by a dedicated fast charge sensitive amplifier chip are reported. The telescope system, made of two sensors at a distance up to 95 cm, allows measuring the beam energy in the clinical range (70–230 MeV) with a maximum deviation of 310 keV in respect to the nominal one, with an uncertainty of 500 keV, thus achieving the prescribed clinical accuracy of 1 mm in the range in water.
Control infrastructure monitoring system at the NSRL facility cluster
Authors: Qin T. , Li C. , Liu G.F.
Published: November 2022

The National Synchrotron Radiation Laboratory (NSRL) facility cluster is a collection of user facilities developed by NSRL, including the Hefei Light Source-II (HLS-II), Tunable Infrared Laser for Fundamental of Energy Chemistry (FELiChEM), and THz near-field high-flux material physical property test system (NFTHZ). User facilities generally have high operational availability requirements. The NSRL facility cluster relies on the control infrastructure to provide computing, network, and storage resources, as well as various services that must be available 24 hours a day, 7 days a week. The monitoring system is responsible for tracking the operational status of the control infrastructure, gathering information on faults, performance degradation and cybersecurity issues, and distributing alarm messages in time. It facilitates the operator troubleshooting problems efficiently to improve the availability of the user facilities. The monitoring system is developed by integrating several free and open source software tools. Zabbix is selected as the monitoring tool and collects metrics data from the control infrastructure. Three upper-layer applications are developed for data visualization. The dashboard shows the operational status of the network and various devices. The alarm system collects and distributes alarm messages via web-based GUI and WeChat. The reporting system periodically generates metrics and alarm reports. The monitoring system has been deployed since March 2022. The results indicate that the monitoring system can effectively identify hidden hazards in the control infrastructure.
Fine-tuning near-boundary swimming equilibria using asymmetric kinematics
Authors: Liu Leo , Zhong Qiang , Han Tianjun , Moored Keith W , Quinn Daniel B
Published: November 2022

When swimming near a solid planar boundary, bio-inspired propulsors can naturally equilibrate to certain distances from that boundary. How these equilibria are affected by asymmetric swimming kinematics is unknown. We present here a study of near-boundary pitching hydrofoils based on water channel experiments and potential flow simulations. We found that asymmetric pitch kinematics do affect near-boundary equilibria, resulting in the equilibria shifting either closer to or away from the planar boundary. The magnitude of the shift depends on whether the pitch kinematics have spatial asymmetry (e.g. a bias angle, θ
0) or temporal asymmetry (e.g. a stroke-speed ratio, τ). Swimming at stable equilibrium requires less active control, while shifting the equilibrium closer to the boundary can result in higher thrust with no measurable change in propulsive efficiency. Our work reveals how asymmetric kinematics could be used to fine-tune a hydrofoil’s interaction with a nearby boundary, and it offers a starting point for understanding how fish and birds use asymmetries to swim near substrates, water surfaces, and sidewalls.
Soft dorsal/anal fins pairs for roll and yaw motion in robotic fish
Authors: Coral Willam , Rossi Claudio
Published: November 2022

Fish has primarily served as a model for many bio-inspired underwater robots. However, most of the work on fish-inspired robots is focused on propulsion and turning in the horizontal plane. In this paper, we present our work on the 3D motion of bio-inspired underwater robots. A pair of actuated soft fins, mimicking the soft dorsal and anal fins of a live fish, have been designed and tested to generate lateral thrusts that aim to produce both roll and yaw motions. Furthermore, they can be used to provide vertical stabilization of the forward motion in the robot. These fins comprise shape memory alloy wires embedded in silicone. We demonstrate that these fins can provide a means for 3D maneuvering. In this work, we focus on roll and yaw motions. A key feature of the proposed design is that it is lightweight, compact, and waterproof.
The effectiveness of agroforestry in reducing the erosion rate compared to the eucalyptus plantation in Wanagama I educational forest
Authors: Ananta D P , Kusumandari A
Published: November 2022

Due to the increasing demand of grass for feeding the cattle, agroforestry land use was developed in the area of Wanagama I Educational Forest. As a consequence, research on erosion rates at the agroforestry land use is very important, especially by comparing its erosion rate with that of eucalyptus in order to analyse the effectiveness of agroforestry in reducing the erosion rate. The objectives of the study is to determine the erosion rates both at the agroforestry area and eucalyptus plantation and the influence of rainfall to erosion rates at the two areas. The erosion rates were measured by using the small plot 22 x 4 meters established in the field both at the agroforestry and eucalyptus areas. For measuring the rainfall, ombrometer were installed at such sites. Sigma Plot software was applied for multiple regression analysis, to clarify the effect of rainfall depth and intensity on erosion rate. The results of the study showed that the erosion rates on eucalyptus plantation land was 1445.85 kg/ha or 1.45 tons/ha and on agroforestry land was 679.82 kg/ha or 0.68 tons/ha. Rainfall depth and rainfall intensity affect erosion on eucalyptus land with a coefficient of determination of 0.585 and on agroforestry lands of 0.716.
Study of carbon dioxide (co2) concentration distribution in the soil on mixed vegetation area land cover at specific sites of jonggrangan karst zone
Authors: Wijaya A W , Haryono E
Published: November 2022

Karstification and soil physical factor in the soil at Jonggrangan Karst zone induces carbon dioxide (CO2) concentration dynamics. This research aimed to measuring soil CO2 concentration varieties on mixed vegetation area at specific sites of Jonggrangan Karst zone and analyze the relation among soil physical factors with CO2 concentration. The data were collected between the dry season and rainy season, as well as in different of soil depths at 20 cm, 40 cm, and 60 cm. The data was performed and explained graphically, comparatively, and built upon statistic descriptive. The result shows that the soil moisture has strong relation to CO2 concentration and shows a proportional trend vertically. The soil organic matter shows an inversely trend to CO2 concentration. The increase in CO2 concentration happens during the rainy season and is influenced by land cultivation.
Simulation of landslide disaster in reducing disaster risk
Authors: Kembara M D , Logayah D S , Hamidah S
Published: November 2022

The Centre of Volcanology and Geological Hazard Mitigation (PVMBG) recorded 1,887 soil movement events throughout Indonesia 2015-2016 which resulted in 3224 people. A total of 154 soil movement occurred in West Java was categorized as much compared to other provinces. Disaster mitigation efforts continue to be carried out by the government, one of which is involved in the community to increase awareness of disaster management through the National Program Kampung Siaga Bencana (KSB). People who live in disaster-prone areas are empowered through capacity building and encouraged to establish disaster mitigation infrastructure such as evacuation routes. One of the villages entering the disaster-prone area, namely Alamendah Village in Rancabali District, Bandung Regency. The geographical location of villages in the highlands and massive development has the potential to give birth to a disaster. Therefore, increasing public awareness of disasters in the natural village must be carried out so that disaster mitigation can be applied properly. This research is expected to provide benefits to the public and encourage the formation of Kampung Siaga Bencana, namely the KSB management consisting of administrators and members and existing sections and building networks (work partners) both individually and institutions that have concentration in disaster mitigation activities.
Mass wasting mechanism of gorontalo outer ring road (gorr) in padengo, gorontalo
Authors: Suma M D , Rahmatia R , Manyoe I N , Kobandaha T C , Kandouw R A , Tolodo D D
Published: November 2022

One of the things that triggered the unrealized government project, namely Gorontalo Outer Ring Road or GORR, is the number of landslide points scattered along the GORR road section, as is the case in the area around GORR, namely Padengo area. This research aims to determine the mechanism of mass wasting in the Padengo area. The method used is the field survey. Data taken in the form of lithology data, geological structure and geomorphology. Field data is then analyzed to determine the mechanism of mass wasting at the research area. The results showed that the lithology of the study area was composed of reef limestone and alluvial. Reef limestone has a yellowish white color, has a massive structure, contains fossils that are exposed to molluscs and corals and is easily dissolved. The geomorphology of the study area is composed of solusional hilly units and lake plain units. In the research area, there are many extension fractures. Based on the lithological, geological structure and geomorphological, it can be concluded that the potential for mass wasting that can occur in the Padengo area is very large. It was known that the main controller for mass wasting is the fractures and the lithology characters in the research area. The type and mechanism of landslides that generally occur in Padengo Village are the Debris Slide type.
The zonation of cimandiri estuary based on sea surface salinity from sentinel-2 imagery and its relation with the catching spots distribution of anguilla spp. larvae
Authors: Pratiwi T D , Supriatna S , Shidiq I P A
Published: November 2022

Estuary zone is a transition zone between river environment and marine environment. The meeting between river and sea in the estuary zone causes a mixture of fresh water that has a low salinity value and sea water that has a high salinity value. The meeting of both causes the value of salinity in the estuary zone to fluctuate. This makes the estuary region inhabited by various biota. This study focused on Cimandiri Estuary, where Cimandiri Estuary is a catching area for eel larvae (Anguilla spp.). Cimandiri Estuary zonation mapping in this study using Sentinel-2 imagery. In addition to mapping the estuary zone, this study also aims to analyze the relationship between the catch of eel fish larvae with the level of salinity in the wet and dry months. Estuary zone mapping is done by applying the Cilamaya Algorithm to the Sentinel-2 image to get the distribution of surface salinity values. In wet months where the amount of rainfall is high, the value of salinity and catch will decrease. But on the contrary in the dry months where rainfall is low, the salinity value and catch of eel fish larvae will increase.
Spatial pattern of propagation digital terrestrial television system in east jakarta city
Authors: Maulana M F , Pin T G , Wibowo A
Published: November 2022

Development of television has gone into terrestrial digital systems that have many advantages over previous (analogue) systems. The nature of radio waves for digital terrestrial television broadcasting that propagates or propagation causes reflection and diffraction due to disturbances or barriers in the form of tall buildings and trees. The purpose of this research is to analyze propagation patterns of digital terrestrial television systems and the effect of physical conditions on the propagation value of digital terrestrial television systems. The variable is land cover, relief, slope direction, distance from transmitter, height, and building height barrier. The method uses spatial analysis within grid analysis and correlation analysis. The results of this study showed that the propagation pattern of digital terrestrial television systems spread randomly to the moderate signal in the central and northeast of East Jakarta city and clustered for a bad signal in the north and northwest areas of East Jakarta city and good signal in the southern region of East Jakarta city. Based on correlation analysis, the propagation pattern of digital terrestrial television systems influenced by the physical condition of the region from variable height and height barriers of buildings.
The rice production of paddy field and relationship with elevation using sentinel-1a sar in subang regency
Authors: Ramadhani S U , Rokhmatuloh R , Wibowo A
Published: November 2022

Subang Regency is the third largest rice producer in West Java. The Total area of Subang 41% is the paddy field. This research aims to determine how the spatial pattern of the paddy field and its relation to altitude using the Sentinel-1A SAR satellite imagery in Subang district. The Sentinel-1A image data used is in January 2018-June 2019. The study used Google Earth Engine to process Sentinel-1A image data. Classification of the harvest and not harvest using the maximum method likelihood. The results of this research show that the calculation of ice production on the paddy field has a value of R2 of 0,58 for low elevation and flat area. The value will be smaller in high elevation and hilly areas. The research found that the Sentinel-1A is better used to calculate rice production in low elevation and flat areas. The research concluded that the lowest elevation and flat areas, which have rice productions higher than rice productions in high elevation and hilly areas with the highest rice production in April-May.
Utilization of online geospatial data sources for oikonym study: mapping and analysis of housing name in capital area of kulon progo regency
Authors: Susilo B , Cahyono A
Published: November 2022

Oikonym is a part of toponym that focus the study on the name given to inhabited place. In the past, availability of data was one of the obstacles in the study of toponym as well as oikonym. Now days, the development of digital mapping and information technology particularly internet enables oikonym data obtained from a variety of sources. This study aimed to explore the typology of housing names as well as the geographical characteristic of the housing location by means of mapping and spatial analysis. Data required for mapping and analysis were obtained via internet therefore referred as online geospatial data sources. Housing names were analyzed based on their generic and specific elements and language of origin used for naming. Spatial analyses i.e., 3D analysis and network analysis were performed to obtain geographical characteristic of the housing location. This study shows, about 57% of housings which have generic name, use indigenous element i.e., local language. In addition to this, about 80% of housings use indigenous element for their specific names. Housings mostly located in low land and gentle slope. On average, distance of housings to the center of capital area is 3.3 km and road density is 6.6 km/km2.
The role of cartography in presenting information on the distribution of the covid-19 outbreak
Authors: Somantri L , Ismail A , Ridwan R , Hitoyo R M , Hamidah S
Published: November 2022

Geospatial information is one of the instruments used by the government in used to map the rate of spread of the Covid-19 disease, the level of Covid-19 vulnerability, and facilitate the distribution of social assistance to people affected by Covid-19. The ability to process geospatial information is needed for the parties who make use of the information. On that basis, the Geographical Information Science Study Program encourages increased ability to manage geospatial data among government staff in Indonesia through cartography training: thematic mapping related to Covid-19 outbreak by utilizing the ArcGIS Online application. The method applied in this training activity is presentation, demonstration, and application operation compiling thematic maps related to Covid-19 using ArcGIS Online to 527 participants. The majority of participants who have never used the ArcGIS Online application are enthusiastic about participating in cartography training, especially since the training is carried out with a tutor model and the participants complete all the work until it’s finished. The expectation, the participants will implement the use of the application in the agencies where they work. Therefore, not a few participants asked for this training to be continued intensively.