bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of a Mechatronic Interface with Compliant Manipulator for Robot Assisted Echocardiography
Authors: Sayahkarajy Mostafa , Mohd Faudzi Ahmad Athif
Published: December 2021

A compliant manipulator with a compound soft actuator is proposed for robot-assisted echocardiography. The target application is devoted to the TOE echo (Trans-oesophageal echocardiography), which is conventionally performed by medical practitioners. The manual manipulation of the echocardiography probe shows significant risks such as human errors, exposure to ionizing radiation, and multitasking complexity. Automation of TOE provides advantages in terms of control, safety, and workload of the operator. This paper proposes a teleoperated robotic system assisting the physician to perform TOE, to be used in cardiac catheterization laboratories as well as hybrid operation theatres. A system containing a holder with master-slave Dynamixel servos and a manipulator with soft actuators has been developed. To alleviate the major lack of the previous designs in conducting the insertion tube, a robotic arm with a soft structure is proposed that has not hazards of conventional robot manipulators. The fundamental equations and relations for quasi-static control of the system are developed in this paper.
Analysis of human object lifting operation force using power assist device
Authors: Kato Ken , Ikeura Ryojun , Tsutsumi Shigeyoshi , Hayakawa Soichiro , Sawai Hideki
Published: December 2021

We carry various objects at the work site. At that time, you may have a heavy object, which requires muscular strength. However, setting such restrictions reduces the number of people who can participate in the work. Therefore, I think that it can be improved by using a power assist device. However, the power assist device has a problem in operability. When we use an assist device to lift an object, we feel sensation different than usual. At that time, we can feel discomfort and unstable. Analyze what kind of operation is performed when a person feels uncomfortable. For that purpose, we set a weight and some lifting conditions and conducted an experiment.
Potential of Near-Infrared (NIR) spectroscopy technique for early detection of Insidious Fruit Rot (IFR) disease in Harumanis mango
Authors: Zakaria N S , Abdullah A H , Ahmad Saad F S , Ali Hassan M K , Abu Bakar M N , Mohd Saad A R , Sudin S , Ibrahim M F
Published: December 2021

Harumanis mango ‘Insidious Fruit Rot’(IFR), is one of the common issues that hampered the fruit quality and consequently lowered the premium value of Harumanis Mango. Physically and visually the affected fruit does not show any attributes that indicates the presence of IFR on any part of the fruit until it has been cut open. This paper investigates the feasibility of a non-destructive method to screen the Harumanis mango from IFR using near-infra red light and artificial neural network. A common NIR light emitting diodes of 1000nm wavelength was used as the light source to emit NIR light while a photodiode was used to measure the intensity of the reflected NIR light from Harumanis mango. Early detection of IFR were done manually by local expert using acoustic method by flicking fingers to detect any abnormality inside the fruit. Sample data on NIR Spectroscopy reflectance results of 120 samples were used to classify the presence of IFR using neural network. Mean value of NIR reflectance of RBG for Harumanis mango with an incidence of Insidious Fruit Rot are R=0.651, G=0.465 and B=0.458, while without IFR are R = 0.211, G=0.15 and B=0.146. Using MATLAB’s neural network training tool, a training set regression was obtained with an accuracy value of 0.9805 for prediction of IFR, thus this value is very high in accuracy.
System Design for Early Detection of Explosive and Flammable Gas Leaks Using Mobile Robot in Confined Space
Authors: Abu Bakar M A , Manan M R , Kawi R M , Yunn L J
Published: December 2021

The presence of explosive or flammable gases in confined space may contribute towards accidents that threaten the workers safety and industrial progress. Conventionally, the existing instrument for gas detection in confined space is manually carried by humans whereby the workers or competence person itself were exposed directly to the gases. This project is aim to develop a prototype system to detect the presence of gases leak where the robotic system replaces humans to carry gas sensors. Users only need to maneuver the robot using a mobile phone to monitor the specific area that may have an explosive or flammable gas leak which includes Liquefied Petroleum Gas (LPG) and methane gases. The sensors will detect if a change in the gas concentration has exceeded a safety limit and will activate the alarm as an alert signal. The readings of gases as input signals were sent wirelessly to the Personal Computer (PC) as a user device for monitoring purposes. This prototype is successfully developed, tested and calibrated using the samples of LPG gas, methane, smoke and environment temperature. The result proved that the developed system is able to detect an air sample using selected gas sensors and display the data in graph form with live monitoring. This will contribute significantly to acquiring a new and alternative method using the system for detecting the presence of gases in confined space application.
Development of Solar-Powered Crop Soil Conditions Monitoring System Using Internet of Things (IoT)
Authors: Fhaizal F.F. , Suboh S.M. , Ali R.
Published: December 2021

The demand for food and agriculture production is increasing day by day. To cope with this situation, the traditional method used by farmers to monitor their crops needs to be improved. This project proposes a low-cost agriculture monitoring system that is capable of sending real-time crop soil conditions to farmers to help them in making the best decisions such as for planting and watering. The proposed monitoring system is equipped with a DHT11, LDR, and soil moisture sensor to monitor temperature, humidity, and other parameters. The internet of things (IoT) is implemented in this system to send all the information from sensors to the Cloud and display it through the ThingSpeak website. The mobile application named MY_FARM will read all the data from the ThingSpeak website to display and send a push notification to the farmers instantly if the crop soil conditions are out of the acceptable range. Based on the observation, the serial monitor and the ThingSpeak website will be updated with new data for every 20 seconds. Solar PV-based battery is proposed as the main power supply of the system, hence possible to be installed in remote areas. The experimental result demonstrates that the PV-based battery can charge and discharge and supply power to the system for about 11 hours before needs to be recharged.
Integrating Vision System to a Pick and Place Cartesian Robot
Authors: Tan K S , Ayob M N , Hassrizal H B , Ismail A H , Muhamad Azmi M S , Hashim M S M , Othman S M , Shahriman A B , Low Y H
Published: December 2021

Vision aided pick and place cartesian robot is a combination of machine vision system and robotic system. They communicate with each other simultaneously to perform object sorting. In this project, machine vision algorithm for object sorting to solve the problem in failure sorting due to imperfection of images edges and different types of colours is proposed. The image is acquired by a camera and followed by image calibration. Pre-processing of image is performed through these methods, which are HSI colour space transformation, Gaussian filter for image filtering, Otsu’s method for image binarization, and Canny edge detection. LabVIEW edge-based geometric matching is selected for template matching. After the vision application analysed the image, electrical signal will send to robotic arm for object sorting if the acquired image is matched with template image. The proposed machine vision algorithm has yielded an accurate template matching score from 800 to 1000 under different disturbances and conditions. This machine vision algorithm provides more customizable parameters for each methods yet improves the accuracy of template matching.
Modelling of Facial Images for Analysis of Recognition System
Authors: M H Assyakirin , Nisha B Shafriza , Y Haniza , A S Fathinul Syahir , A S Muhammad Juhairi
Published: December 2021

Face recognition is categorized as a biometric technology that employs the use of computer ability in image processing to detect and recognize human faces. Face recognition system has numerous applications for many purposes such as for access control, law enforcement and surveillance thus this system is dominant in present technology. Generally, face recognition system become more advance in term of the accuracy and implementation. However, there are a few parameters that effects the accuracy of recognition system for examples, the pose invariant, illumination effect, size of image and noise tolerance. Even though there are a number of systems were already available in the literature, the complete understanding of their performances are relatively limited. This is due to many systems focused on a narrow application band – therefore, a comprehensive analysis are needed in order to understand their performances leading to establishing the conditions for successful face recognition system. In this paper we developed a synthetic model to represent facial images to be used as a platform for performance analysis of facial recognition systems. The model includes 5 face types with the ability to vary all parameters that are affecting recognition performance – measurement noise, face size and face-background intensity differences. The model is important as it provide an avenue for performance analysis of facial recognition systems.
Developing fire evacuation simulation through BDI-based modelling and simulation
Authors: YenChern Ng , WaiShiang Cheah , KengWai Sim , Khairuddin Muhammad Asyraf bin , Jali Nurfauza bt , Mit Edwin ak
Published: December 2021

Fire evacuation simulation is used to simulate the fire evacuation procedures by involving human-like agents. In this paper, the fire evacuation simulation is designed and developed by adopting the BDI agent plug-in. BDI (Belief, Desires, Intentions) is a technique used in modelling the multi-agent system. A tool and BDI methodology are introduced to help in modelling human behaviour and the decision making of an agent. In this paper, the usability of the BDI methodology and BDI agent plug-in tool is studied through a case study of a fire evacuation environment. The case study covers the three main components needed in a fire evacuation simulation: the fire (the spread of the fire and smoke), the building layout (the classroom and physical objects), and the human-like multi-agents. Using the Unity game engine, a fire evacuation simulation system is built based on the requirements, methodology, and design. The usability of the BDI agent plug-in tool can be proven by observing the results of the fire evacuation simulation and the reaction of agents when encountering the fire situation. However, there are also some limitations of this fire evacuation simulation. Therefore, there are works to be done to develop a more realistic fire evacuation simulation and more human-like multi-agents in future.
RF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo
Authors: Almaleeh A A , Zakaria A , Rahiman M H F , Abdul Rahim Y B , Munirah L , Adom A H
Published: December 2021

Grain storage is an important part of the post-harvest quality assurance process. The moisture level of the grains during storage is one of the primary problems. The current method of measuring rice grain moisture content is based on random sampling, which is relatively localised, and there is no real-time moisture content measurement available. The RF signal was used to build a new technique for detecting moisture and its presence in rice in real-time in this paper. The mapping of an RF signal, in particular, can be transformed into volumetric tomographic images that can be used to forecast moisture distribution.
State of Charge Estimation of Lithium-ion Battery Based on Improved Recurrent Neural Network
Authors: Wang Zhenya , Li Xiaodong , Wang Yahui
Published: December 2021

Aiming at the problem of gradient disappearance and gradient explosion in the recurrent neural network (RNN) algorithm in the battery estimation model, this paper proposes a state of charge (SOC) estimation model developed using an independent recurrent neural network (IndRNN). Firstly, the Thevenin equivalent model of the battery is established, and the parameters of the equivalent model are identified through experiments. Then, the Relu activation function is introduced into the RNN to separate the neurons in each layer. Finally, the model was trained on various experimental data sets collected from the lithium iron phosphate battery experimental platform under different discharge conditions. Without any prior knowledge about the battery interior, the proposed battery model successfully characterizes the non-linear behavior of the battery. The results show that under different discharge conditions, IndRNN is better than RNN in terms of maximum error, the mean error, and the root mean square error (RMSE), which greatly improves the accuracy of SOC estimation.
Progress in ionizing radiation resistance modification of polymer materials
Authors: Zheng Guikai , Zhu Min , Liu Chao , Xiao Qiang , Wang Qiqi
Published: December 2021

With the wide application of polymer materials, much attention has been paid to the modification methods of polymer materials with high-energy radiation resistance to satisfy special environment, such as nuclear industry, space technology, medical equipmen. In this review, progress in ionizing radiation resistance modification of polymer materials is introduced in depth and different modification methods are compared. Finally, future perspectives of this field are discussed.
Structural Design of Extruded Profiles Based on Simulation
Authors: Qin Dezhao , Yuan Binxia , Liu Jianben , Liu Yan
Published: December 2021

In this paper, through the introduction of ABH related theory, a variety of optimized structures are established and compared. By changing the layout of holes in extruded profiles, the vibration characteristics of extruded profiles are studied by using the control variable method. It is found that for single extrusion profile, the through hole (the radius is 8mm to 10mm, the chamfer is 30 degrees) compared with the structure without holes, the natural frequency of the structure is increased by 7Hz from the first order to 20 Hz from the seventh order. For the spliced extruded profiles, the wedge-shaped hole structure with 8mm to 10mm has better vibration damping performance. The application of ABH structure can effectively improve the vibration characteristics of extruded profiles.
Sensitivity Optimization of Plain Silver Surface Plasmon Resonance Imaging Sensor
Authors: Wang Zhiyou , Wang Maojin
Published: December 2021

Plain silver surface plasmon resonance imaging (SPRi) sensor has been studied extensively due to its high sensitivity and desirable stability in liquid environments. To further enhance sensitivity performance of the sensor, angular sensitivity, angular slope and depth-width ratio (DWR) of SPR curve, and imaging sensitivity are evaluated at different thickness combinations of the gold and silver films respectively. In this work, the angular slope of SPR curve is found to be the critical factor to the optimized imaging sensitivity of plain silver SPRi sensor. In the comparative study, the above parameters of the plain silver SPR sensor, single gold film and bimetallic SPRi sensors are compared. Plain silver SPRi sensor is proved to be of the highest imaging sensitivity, which is 4.08 and 1.18 times imaging sensitivity of the single gold film and bimetallic SPRi sensors separately.
In-Situ Measurement of the Density Ratio of the K-Rb-21Ne Comagnetometer Based on Electron Spin Relaxation Rate
Authors: Zhao Tian , Wei Kai , Zhai Yueyang , Tang Chencheng
Published: December 2021

Accurate measurement of alkali metal density ratio in hybrid vapor cells is essential for high sensitivity of comagnetometers. We introduce and investigate a new method of measuring the density ratio based on electron spin-relaxation rate. The Bloch equations including the parameter of density ratio are studied, and the density measurement results show that measurement uncertainty is less than 12%. The advantage of this method is measuring the in-situ density ratio, which is more precise and useful for optimizing sensitivity of comagnetometers by adjusting the density ratio in real time.
DA-M2Det: An Iris Classification Network for UBM Images
Authors: Wang Luquan , Lao Junxing , Yang Lingfeng , Zeng Yaguang , Chen Yong
Published: December 2021

Primary angle closure glaucoma (PACG) is primarily diagnosed by ophthalmologists through morphological analysis of the iris in ultrasonic biomicrocopy(UBM). In recent years, Deep convolutional neural networks (CNNs) show potential for quick category definition in eye disease. According to the characteristics of iris in UBM images, we proposed a network (DenseNet and Attention gate) DA-M2Det to automatic classification iris morphology. Firstly, in the framework of M2Det network, We used the backbone of DenseNet to replace the VGG backbone of M2Det, better extraction of basic feature layers. Secondly, three scales of attention gate (AG) was added to the Thinned U-shape Module (TUM), enable the network to pay more attention to the iris region. Finally, we use the retraining method to further improve the accuracy of iris classification. The classification results of VGG-16, M2Det, ResNet-50 and DA-M2Det networks are compared experimentally. The results show that, in three different iris shapes (including arch, flat and depression), DA-M2Det achieves an average classification accuracy of 85%, which is higher than that of the other three networks. Experimental results show that DA-M2Det can accurately classify irises into three categories, assisting ophthalmologists to quickly diagnose the cause of glaucoma and accurately perform clinical treatment thereby.
A Real-Time Peak Extraction Algorithm for Dynamic Displacement Measurement Based on Spectral Confocal Microscopy
Authors: Liu Lijia , Ma Hua , Shi Zhendong , Bai Jinxi , Zhang lin
Published: December 2021

Spectral confocal is widely used in various fields such as topography detection, roughness measurement, thickness measurement, for its advantages ability in displacement measurement. Developed from confocal microscopy, the spectral confocal microscopy greatly improves the efficiency of displacement measurement because there is no need for longitudinal scanning, In other words, we need to obtain the wavelength information corresponding to the peak point of the spectral signal, which is called peak abscissa but not the peak value. Therefore, Accurate and efficient peak abscissa calculation algorithm occupies an important position in displacement monitoring based on spectral confocal. However, the existing methods are too complex to apply to real-time dynamic online detection, for they usually focus on determining the peak value by means of curve fitting and peak extraction. In this paper, we proposed an efficient and accurate peak abscissa calculation method by shifting, difference, linear fitting, zero point and peak abscissa calculation (SDLZ). Compared with the Gaussian fitting method, the results demonstrate that the SDLZ can greatly improve efficiency, can be applied to field programmable gate array microcontrollers, with high measurement accuracy, providing key solutions for equipment needs.
A New Method for Auto-Inspecting Both Opposite Surfaces of Tec Components Based on Equal-Optical-Path Imaging System
Authors: Liao Tingdi , Huang Qilu , Yan Shaobin , Chen Wenzhi , Duan Yafan , Huang Yantang
Published: December 2021

An new optical method for simultaneously inspecting opposite surfaces defects of thermoelectric cooler (TEC) components that meets condition of equal optical paths for both surfaces imaging has been proposed. The optical apparatus for surfaces defects inspection has been designed and established with “confocal” imaging system consisting of two trapzoid reflection prisms and one optical images combiner. Experimental investigations on defects inspection with the “confocal” imaging system have been carried out. The results showed that the proposed optical method can be used to simultaneously inspect the defects of opposite surfaces of TEC components without need to employ a tele-centric imaging lens with large depth of focus. It was concluded that the optical inspection method can meet the technical requirements for inspecting opposite surfaces (both side surfaces, or both top and bottom surfaces) defects of TEC components and has advantages of equal good imaging quality, increased inspection accuracy and throughput, simplified system configuration and improved system reliability etc.
A Fiber Vibration Signal Identification Method Based on the Combination of EWT-FE and LSTM
Authors: Zhang Xin , Ja Qingmo , Ruan SaiSai , Hu Qin
Published: December 2021

As the optical fiber perimeter security system is widely used in real life, how to identify the types of intrusion events in a timely and effective manner is becoming a major research hotspot. At present, in this field, various signal feature extraction algorithms are usually used to extract intrusion signal features to form feature vectors, and then machine learning algorithms are used to classify the feature vectors to achieve the role of identifying the types of intrusion events. As a common signal feature extraction algorithm, the EMD algorithm has been widely used in the feature extraction of various vibration signals, but it will have the problem of modal aliasing and affect the feature extraction effect of the signal. Therefore, EWT, VMD and other algorithms have been successively used proposed to improve modal aliasing. On the basis of fully comparing the existing algorithms, this paper proposes a fiber vibration signal identification method that decomposes the signal through the empirical wavelet transform (EWT) algorithm and then extracts the fuzzy entropy (FE) of each component, and uses LSTM for classification. The final experiment shows that the method can identify four kinds of fiber intrusion signals in time and effectively, with an average recognition accuracy rate of 97.87%, especially for flap and knock recognition rate of 100%.
Optical Design of a Shortwave Infrared Dual Camera CASSI Based on Improved Offner-Wynne Imaging Spectrometer
Authors: Song Chong , Huo Lipeng , Huang Yong , Yan Yangdong , Wang Gang , Cui Dongsen , Niu Yanting , Liu Bijun
Published: December 2021

Based on the optical system characteristics of coded aperture snapshot spectral imager (CASSI), an optimized optical system of shortwave infrared dual camera CASSI was designed based on improved Offner-Wynne imaging spectrometer. The operating wavelength of the optical system ranges from 900nm to 1700nm, and the focal length is 1200mm. It consists of two parts: the two dimensional imaging system and the multispectral CASSI imaging system. The key technical parameters of the two parts are the same and there is no visual axis difference. Therefore, the optimized optical system can effectively improve real-time performance, optical transmittance and compactness of the dual camera shortwave infrared CASSI, which is conducive to the application in optical measurement scenes in the shooting range.
Propagation Property of a Second-order Noncanonical Optical Vortex Beam in a Strongly Focusing System
Authors: Zhang Han , Xiao Weiwei , Zhang Tianhu , Zhaoxinying  , Pang Xiaoyan
Published: December 2021

The noncanonical optical vortex is an optical vortex with a nonconstant phase gradient around its center, i.e. the phase is not a linear function of the azimuthal angle. The expression of the strongly focused field of a (conventional) second order noncanonical vortex beam has been derived analytically and the field distribution is discussed. It has been found that the intensity distribution at the focal plane can exbibit rich patterns, which is more complicated than that of the first-order. The transverse focal shift phenomenon in current case also exits and is changed with the semi-aperture angle α in a different way. It also can be seen that the intensity maxima can be one to four on the focal plane. Our research may provide a new method for controlling of the structured optical field, and will give theoretical supports for the study of higher-order noncanonical optical vortices.
The Influence of High Temperature Weather on Human Body Temperature Measurement by Infrared Thermal Imaging Thermometer
Authors: Mei Guangdong , Peng Senlin , Zeng Zhiwei , Liao Tingdi , Huang Yantang
Published: December 2021

Infrared thermography thermometer is a non-contact temperature measuring equipment, which is widely used in the stage of large-scale epidemic of the covid-19 pandemic. It is used for rapid screening of human body temperature in crowded places at the entrance and exit of airports, docks, shopping malls, stations and schools. But when the outdoor temperature approaches or exceeds the body temperature in summer, can this method of measuring body surface temperature by infrared thermal imager be used as a standard for screening fever? Under the condition of high temperature in summer, the field experiment of measuring body temperature by infrared thermal imager is carried out, the experimental results are analyzed. We recommend the use of relative temperature difference for screening patients with fever.
QoS-Aware Power Allocation for Multi-UAV Aided Networks
Authors: Quan Xiaoya
Published: December 2021

UAV base stations (UAVBS’s) have been proposed as a revolution for the new architecture of 5G networks. The UAVBS’s can be deployed as access points to provide wireless services to users in emergency scenarios. However, it is challenging to solve the highly coupled problem for UAVBS deployment and power allocation. In the meanwhile, the hybrid analog and digital beamforming is leverage to reduce the hardware cost for beamforming in 5G networks. In this work, we first use k-means algorithm to solve the 3D placement of UAVBS’s by exploiting the optimal coverage altitude. Next, power allocation problem is resolved using the difference-of-two-convex functions (D.C.) programming algorithm. Furthermore, the quality of service (QoS) for each user is guaranteed by adjusting the transmitted power. Finally, extensive experiments are conducted to demonstrate the feasibility of the proposed algorithm.
Sum Rate Analysis for Massive MIMO Downlink With MRC Beamforming and User Selection
Authors: Wu Yiyang , Chang Chang , Xie Fei , Ju Dacheng , Pan Yilun
Published: December 2021

Average allocation of data rate to each user is inefficient since the resource a base station can allocate is limited. Thus, user selection and user scheduling need to be applied into multi-user massive multiple-input multiple-output (MIMO) downlink system. In this paper, we mainly focus on the methods of user selection. First, we establish a downlink system model including transmission model and channel model. Then, two user-rate based user selection algorithms via the signal-to-interference-plus-noise-ratio (SINR) are proposed, where the SINR is generated by MRC beamforming. Finally, simulation results are provided to compare the performance of two proposed algorithms and their fairness towards selected users. In the simulation results, location-based selection algorithm and random selection algorithm are jointly compared. The second proposed algorithm possesses the highest total sum-rate and is the optimal algorithms among the four algorithms.
Which one is better: Assessment and Locomotion imitation strategies in Changing Environments
Authors: Chen Cunying , Zhang Hua
Published: December 2021

Imitation is ubiquitous, yet what self-regulation orientations’ role played in imitation strategies is poorly understood, which is particularly challenging in dynamic and uncertain environments. According to regulatory mode theory, we model two imitation strategies: assessment and locomotion. Assessment pays more attention on comparation among different alternatives, they repeatedly measure, evaluate, and compare desired means and try to find out the ‘best’ one. Contrariwise locomotion refers to ‘keep moving’, once choosing one alternative, they change some choices and learn from the resulting performance feedback. Using a computational model, we explore the performance implications of dynamic environments for these two imitation strategies. Consequently, when environment is stable, assessment is more effective in maintaining the lead, whereas locomotion prevails as environmental changes become more frequent and substantial. We contribute to the literatures on strategy, imitation, and NK studies.
Optimization of Inspection Plan for Transformer Verification Line Under Uninterrupted State
Authors: Guo Shunsheng , Yin Bitao , Sun Xiang , Peng Zhao , Tu Xiaobin
Published: December 2021

At present, transformer verification line of metering centre adopts fixed cycle inspection method manually. This method requires downtime for detection, which costs a lot of time and cost. Moreover, the inspection cycle is determined based on experience and lacks rigorous basis. To solve this problem, a hybrid delivery of inspection devices is proposed to realize non-stop detection and reduce the cost of inspection time. Considering impact of cost and false detection risk on inspection cycle, a multi-objective optimization model of inspection cycle based on inspection and false detection cost is proposed. Based on NSGA-II algorithm, perturbation population is introduced to enhance the global search ability, which aims to minimize the cost of inspection and false detection. Taking the verification line’s inspection plan of the metering centre as an example. It is solved by ENSGA-II algorithm, and feasibility of hybrid delivery mode is verified, which reduced downtime by 14.58%. A more reasonable inspection cycle is obtained, inspection cost is reduced by 29.57%, and false detection cost is reduced by 6.34%. It provides a reference for the formulation of inspection plan in the actual production process.
Research on Robustness of Related Images for Power Equipment Inspection
Authors: Zhou Chunlei , Chen Xiangzhou , Liu Wenli , Dong Tianyu , Yun Huang
Published: December 2021

With the increase in the number of traction substations year by year, manual inspections are gradually being replaced by unattended inspections. Target detection algorithms based on deep learning are more widely used in intelligent inspections of power equipment. However, in practical applications, it is found that due to the small target to be detected, the accuracy of the deep learning model will decrease when the shooting angle is inclined and the light conditions are poor. This is because the algorithm’s robustness is low, and the detection ability of the model will be seriously affected when the angle or illumination difference with the sample is large. Based on this, the feature fusion part of the YOLOv3 algorithm and the selection of the loss function and the size of the anchor frame are improved, and the improved ASFF fusion method is used to classify various images in the power equipment. Actual measurement and repeated experiments show that the proposed method can be effectively applied to image recognition of various power equipment, optimize robustness, and greatly improve the image recognition efficiency of power equipment.
An Intelligent Fault Diagnosis Method for CNN-SVM Circuit Breaker Based on Quantum Particle Swarm Optimization
Authors: Huang Zhongting , Wang Longying , Ge Qiyun , Chen Yongyi , Zhang Dan
Published: December 2021

In order to make use of fewer fault data samples to diagnose the main fault types of circuit breakers accurately in real time, an intelligent fault diagnosis method for circuit breakers based on convolutional neural network (CNN) and quantum particle swarm optimization (QPSO) is proposed. Firstly, the key features of the circuit breaker operational signal are extracted through the CNN model, and the extracted feature vectors are input into the support vector machine (SVM) for fault diagnosis. In order to improve the diagnostic performance, this paper uses QPSO algorithm to optimize the parameters of the classifier, it effectively solves the local optimal problem. The experimental results show that the method presented in this paper has achieved good results in fault diagnosis of circuit breakers, and the accuracy of diagnosis is up to 100%, which highlights the superiority of this method.
Design and research of temperature measurement system for intermediate joint of 10kV power cable
Authors: Mao Mengting , Liu Zhuan , Xu Rui , Wang Longwei
Published: December 2021

Cable intermediate joint is the weak link of power cable. Its operation determines the quality of power transmission and distribution in power system. The temperature rise of the intermediate joint is the direct manifestation of a variety of faults. Therefore, monitoring the temperature of the intermediate joint of power cable and finding and eliminating cable faults in advance is of great significance to ensure the safe and reliable operation of power system. Based on the analysis of the temperature characteristics of the cable intermediate joint, the design scheme of the temperature measurement system of the power cable intermediate joint is given, and its hardware system and software system are designed. Finally, the temperature measuring device for the intermediate joint of power cable is obtained, tested on the spot, and the power consumption of the data is analyzed. The debugging results show that the system has good characteristics and meets the design requirements.
A new method for solving the linear recurrence relation with nonhomogeneous constant coefficients in some cases
Authors: Yang Ben-Chao , Han Xue-Feng
Published: December 2021

Recursive relation mainly describes the unique law satisfied by a sequence, so it plays an important role in almost all branches of mathematics. It is also one of the main algorithms commonly used in computer programming. This paper first introduces the concept of recursive relation and two common basic forms, then starts with the solution of linear recursive relation with non-homogeneous constant coefficients, gives a new solution idea, and gives a general proof. Finally, through an example, the general method and the new method given in this paper are compared and verified.
MRDRL-ROS: a Multi Robot Deep Reinforcement Learning Platform based on Robot Operating System
Authors: Cai Zhongxuan , Liang Zhen , Ren Jing
Published: December 2021

Deep reinforcement learning (DRL) has greatly improved the intelligence of AI in recent years and the community has proposed several common software to facilitate the development of DRL. However, in robotics the utility of common DRL software is limited and the development is time-consuming due to the complexity of various robot software. In this paper, we propose a software engineering approach leveraging modularity to facilitate robot DRL development. The platform decouples learning environment into task, simulator and hierarchical robot modules, which in turn enables diverse environment generation using existing modules as building blocks, regardless of the underlying robot software details. Experimental results show that our platform provides composable environment building, introduces high module reuse and efficiently facilitates robot DRL.
Evaluation method of fault indicator status detection based on hierarchical clustering
Authors: Chen Ling
Published: December 2021

In order to solve the evaluation problem of fault indicator arrival detection and operation detection, an evaluation method of fault indicator status detection based on hierarchical clustering is proposed. Firstly, the evaluation model for status detection of fault indicator in distribution network is established. Then, through the fault indicator state detection single result table and the fault indicator operation state detection result table, the single equipment evaluation of fault indicator status detection is described in detail. Secondly, through the fault indicator state detection manufacture result table and the fault indicator state detection manufacture evaluation value, the manufacturer equipment evaluation of fault indicator status detection is described in detail. Finally, through the fault indicator state detection itemized result table and fault indicator state detection itemized evaluation value, the itemized equipment evaluation of fault indicator status detection is described in detail. The case analysis shows that the method is effective and feasible, can meet the actual needs of the site, and has positive significance.
A fault diagnosis method based on the Support Vector Machine in rod pumping systems
Authors: Li Juanni , Shao Jun
Published: December 2021

Monitoring the working status of the sucker rod pump is an important part in petroleum engineering. With the development of artificial intelligence technology, more methods have been applied to the fault diagnosis of rod pumping systems. An evolutional fault diagnosis method based on Support Vector Machine (SVM) in sucker rod pumping systems is proposed. Fourier descriptors and Light Field compression algorithm are used in this method to extract the graphic features of the indicator diagram. SVM is used to build fault classification model. This method is verified experimentally through data of indicator diagrams and the results show that it has a shorter training time and higher accuracy.
Study on a calculation model of infrared radiation characteristics of rocket engine plume
Authors: Wu Nan , Mu Chengpo , He Yang , Liu Huan , Liu Taiye
Published: December 2021

In order to study the infrared radiation (IR) characteristics of rocket engine plume in the mid infrared band, a calculation model for IR transfer of rocket engine plume was built. The flow field data are calculated by software FLUENT. Based on HITRAN database, the IR characteristic parameters are calculated after spectral line correction. The Line of Sight (LoS) is used to solve the radiation characteristics in the plume flow field, and the IR characteristics distribution of the plume in the mid infrared band is obtained, which agree well with the results from open literature. The method has the advantages of simple model, less parameters and fast calculation speed in this paper.
The research and analysis of Homogeneous Charge Compression Ignition Engine
Authors: Sun Binzhi , Wang Hexu , Yan Keming , Zhang Renyi
Published: December 2021

HCCI represents homogeneous charge compression ignition. It is a cleaner, higher thermal efficiency, and higher fuel efficiency alternative combustion technology. This engine combines the advantages of diesel and gasoline engines so that the compression ratio of diesel engines can be achieved even when gasoline is used as fuel, and there is basically no NOx and soot emissions. However, the HCCI still has some problems such as ignition timing unstable, bad load and speed variation, and cold start capacity. Today, due to the above shortcomings, HCCI is still mainly researched and developed in the laboratory without mass production. The purpose of this paper is discussing the advantage and disadvantage of HCCI technique and analyse the operating principle to provide possible solution that will improve the quality of HCCI engine before the mass production of HCCI.
Visual positioning control of fuze detection manipulator
Authors: Zhang An , Ma Shaojie , Ding Libo
Published: December 2021

This paper designs a fuze automatic detection manipulator. Aiming at the problem of autonomous alignment and docking between operation manipulator and detection device, a visual positioning control algorithm for autonomous alignment between fuze and detection device based on fuzzy logic is proposed. Taking the relative position and deviation angle of fuze and detection device as control variables, a two-dimensional fuzzy controller is designed. Through the dynamic adjustment of the controller, the optimal motion parameters can be output. Compared with the traditional fuze detection method, the algorithm further improves the efficiency and positioning accuracy of fuze detection.
Dual Nozzle Weapon Power Couple Vibration Controller With Delayed Rear Nozzle
Authors: Chen Xiong , Qiu Ming , Song Jie , Ma Longxu , Liao Zhenqiang
Published: December 2021

Aiming at the problem that the firing accuracy of barrel weapon is affected by the violent vibration during continuous firing, a double-nozzle vibration controller using the energy of gunpowder gas in the chamber is proposed. The synchronous external injection of the double nozzles of the controller is realized by the delayed ejection of the rear nozzles, so as to generate a power couple to balance the recoil flipping torque of the barrel weapon to achieve the stable firing effect of reducing the bore vibration. A double-nozzle vibration controller with a delayed rear nozzle for a chain gun is designed. The rigid-flexible coupling dynamic model of a chain gun with a double-nozzles vibration controller was established considering the two-phase flow of propellant gas in the barrel and airway. The numerical simulation of the muzzle vibration characteristics of the original weapon and a chain gun equipped with a double-nozzles vibration controller is carried out respectively, and the effectiveness of the double-nozzles dynamic couple vibration controller for the continuous firing vibration control of the barrel weapon is verified.
Thermo-mechanical Processing for In-situ Cu-based Composites
Authors: Sheng Xiaochun , Jin Ying , Li Mulin , Shen Qi , Shen Zhi , Fu Kai , Huang Huiming , Liu Keming
Published: December 2021

In-situ Cu-based composites have been investigated extensively over the past decades because of their good conductivity and high strength. The preparation technologies of in-situ Cu-based composites mainly include casting of Cu alloys, initial heat treatment, hot deformation, cold deformation, intermediate and final heat treatment. This paper primarily researched the effect of thermo-mechanical processing such as initial heat treatment, hot deformation, cold deformation, intermediate and final heat treatments on the property and microstructure of in-situ Cu-based composites, analyzed the main role and mechanism of each thermo-mechanical processing, summarized the related research work and achievements, and prospected the future main research directions of the thermo-mechanical processing for in-situ Cu-based composites.
Analysis and Research on Cold Proof Design of Polar Marine Machinery
Authors: Yu Li , Guo Wenyong , Pan Xinglong , Chen Hantao
Published: December 2021

Polar marine machinery is an important equipment for China to participate in Arctic energy exploitation. The Arctic region is rich in natural resources and has a very important strategic position. As an important equipment for passage and exploitation of energy, its key technology is particularly important. As a special ship sailing in polar regions, polar ships generally adopt electric heat tracing measures due to the adverse environment in polar regions. The deck machinery and facilities shall be protected against cold. This paper mainly studies the convection of flat plate members under constant heat flow electric heating. The research results can be popularized and applied to the cold protection of most upper facilities of polar ships.
Effect of thermal barrier coating on thermal load of the rotor of the small aviation wankel engine
Authors: Yang Zhenghao , He Guangyu
Published: December 2021

Due to its high-altitude, low-temperature, high-load, and air-cooled working environment, small aviation rotary engines have problems such as large component load and low heat dissipation efficiency. As the main moving part of the engine, the rotor is continuously exposed to the complex temperature field of the engine. As an effective high-temperature protective coating, the thermal barrier coating can isolate the heat load generated by the work of the combustion chamber and effectively improve the complex work condition of the triangular rotor. This paper takes the triangular rotor of a small aviation Wankel engine as the research object, and establishes the finite element model of the rotor and the coating. The engine thermodynamic simulation model is established by Simulink, and the combustion chamber temperature and heat transfer coefficient are calculated. The heat transfer coefficients of the other surfaces of the rotor were calculated by series thermal resistance, which were used as boundary conditions for finite element analysis of the rotor and the coating. The temperature field, stress field and deformation of the rotor before and after processing the thermal barrier coating are compared. The results showed that after the thermal barrier coating, the temperature of the rotor will drop by about 50K on average. The temperature of the pit and cooling hole of the rotor will drop by 17K and 16K respectively, and the temperature of the inner edge and side end surface of the sealing groove will drop by about 10K. The stress values at the inner side of the rotor seal groove, the inner cavity cooling hole, and the inner hole of the rotor are reduced by about 35.4MPa, 29.4MPa, 33.4MPa, respectively, and the stress value at the bonding layer is 150MPa, which is significantly higher than the stress value at the corresponding position of the original rotor, indicating that there is stress Concentration phenomenon. At the same time, the deformation at both ends of the rotor seal groove is reduced from 61.92μm to 52.55μm, and the difference in the axial deformation of each position is less than 3mm. It can be obtained that the thermal barrier coating can effectively reduce the radial deformation of the rotor and has little effect on the axial deformation of the rotor.
Research and design of gasoline generator inverter
Authors: Zhou Xiaoju , huang yun
Published: December 2021

The paper introduces the design of gasoline generator inverter. First of all, I made a simple introduction to the gasoline generator, and a detailed description of the inverter circuit respectively. Then the hardware and software design process of the system are described in detail. In the process of hardware design, I designed the whole circuit and each module, and made a printed circuit board. During the software design process, MFC (Microsoft Foundation Classes) is used to design an monitoring software of inverter. The software communicates with the main chip through a serial port to obtain and display the status of the inverter and set the parameters of the inverter. Finally, the test of the whole system is completed. The design has the advantages of good output waveform, comprehensive protection measures, low power consumption and low cost.
Photon radiation effects in kinematic reconstruction of top quarks
Authors: Dobur D. , Knolle J. , Mestdach G. , Skovpen K.
Published: December 2021

Kinematic reconstruction of top quarks allows to define a
set of kinematic observables relevant to various physics processes
that involve top quarks and provides an additional handle for the
suppression of background events. Radiation of photons in
association with the top quarks alters the kinematics and the
topology of the event, leading to visible systematic effects in
measurable observables. The present study introduces an improved
reconstruction of the top quark kinematics in the presence of photon
radiation. The results are presented for processes with top quark
pair production, as well as for singly-produced top quarks.