bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing project based e-learning content for basic computer system course
Authors: Sindu I G P , Permana A A J
Published: March 2021

This study aimed to develop E-learning content for the Basic Computer System course through project-based learning model. The present research was a research and development by using the Dick & Carey Model. There were five stages of development in the present research, namely: determining the course as object of the development, needs analysis, developing a draft, running the Universitas Pendidikan Ganesha E-learning software, and testing (content expert reviews and field trials). The result of the development was positive. It means that the content can facilitate lecturers and students during teaching and learning process. The content was also able to improve students’ level of mastery of basic computer systems material. Both students and lecturers were not limited by place and time because E-learning content of the Basic Computer System course can be accessed anytime and anywhere.
Effect of problem-based learning on critical thinking skills
Authors: Fadilla N , Nurlaela L , Rijanto T , Ariyanto S R , Rahmah L , Huda S
Published: March 2021

Students’ critical thinking skills cannot develop appropriately if in the learning process, the teacher is not active. Therefore, to improve students’ critical thinking skills, a teacher should choose and use strategies, approaches, and methods techniques that involve students actively in learning, both in manner mental, physical, and social. One alternative learning that provides opportunities for students to develop students’ critical thinking skills in problem solving is problem-based learning. This research was a research study literature examining related journal application of problem-based learning to improve critical thinking skills. The findings of this study included: (1) the implementation of PBL has the potential to help students motivate and provide learning experiences; and (2) PBL implementation is very useful in improving students’ critical thinking skills, provided that teachers and students can apply each stage of PBL well.
Student performance assessment strategies by involving peer students
Authors: Setemen K , Purnamawan I K
Published: March 2021

One of the important factors in achieving students’ learning outcomes is the implementation of assessment on the learning. It is vital to uncover or obtain information related to the students’ achievement of the competencies comprehensively. Therefore, data is needed as an item of evidence and basis for decision making regarding the student’s achievement of the competencies. To allow the students to demonstrate their competencies is one of the processes in collecting those items of evidence. Students demonstrating their competencies is a type of student performance. As a result, there is a need to engage with this performance assessment. The aim of the present study was to conduct the students’ performance assessment by using Google Form and the involvement of peer students. Google form is an alternative computer-based assessment. The application is easy to use with the availability of useful features. It is also relevant to be used today as learning and teaching are mostly conducted online. Based on the performance assessment that involved peer students, score distribution in every performance task given was born in the normal curve. The result showed that the involvement of the peer students in the performance assessment yields positive outcomes. It can be said that the involvement of the peer students in assessment guaranteed the objective assessment based on the given rubrics.
Identifying students’ learning difficulties in human and computer interaction course through the implementation of project based learning model
Authors: Damayanthi L P E , Sugihartini N , Damasanti I A R , Ryantini K T D
Published: March 2021

This study aimed at identifying students’ learning difficulties in Human and Computer Interaction course through the implementation of Project Based Learning model (PjBL model). PjBL Model has 6 stages, starting from giving essential questions, continuing with designing a project, writing the project implementation schedule, monitoring, carrying out the project product evaluation, and ending with carrying out the learning experience evaluation. The study used observation sheet, rubric and interview guide for collecting the data and descriptive qualitative analysis for analyzing the data. The collected data were reduced and presented and then analyzed to get some conclusions. The result of the study showed that it was still found out or identified that the students had difficulties in learning in Human and Computer Interaction course through the implementation of the PjBL model. However, the amount of the difficulties was not significant. The learning difficulties experienced by the students were caused more by an internal factor, namely the low motivation of the students as the result of their low interest in courses that contain programming and they tended to prefer a multimedia course. However, it was admitted by the students that Human and Computer Interaction course taught by the PjBL model had given them unique experiences. The students felt that there was an increase in knowledge from the problem-solving activities that they did, since they had a great opportunity to explore their abilities by themselves so that they had new knowledge and experience which made their learning activities better.
Development of housekeeping learning module based on e-learning
Authors: Budhyani I D A M , Angendari M D
Published: March 2021

Learning module is needed because the use of a learning module can make learning activities more well planned. This study aims were (1) to describe the development of Housekeeping learning module based on e-learning, (2) to determine the feasibility of Housekeeping learning module according to the responses of content experts, (3) to determine the feasibility of Housekeeping learning module according to the responses of media experts, (4) to determine the feasibility of Housekeeping learning module according to the responses of students as a target test. This research is a development research using the ADDIE model. The research variable was the Housekeeping learning module and the data collection technique used a questionnaire. The analysis used was descriptive quantitative analysis. The results of this study are: (1) Housekeeping learning module based on e-learning using the ADDIE development model, (2) the content expert’s test showed that the learning module were in a very good qualifications with a percentage of 98.34%, (3) the media expert’s test showed that the learning module were in good qualifications with a percentage of 88% (4) the target test showed that the learning module were in a very good qualifications with a percentage of 90.44%.
The effectiveness of CIPP model’s implementation in secondary school
Authors: Santiyadnya N
Published: March 2021

This present study aimedat determining the effectiveness of implementing research councils in secondary schools. To determine the effectiveness of the implementation of the research council in preparing students to participate in scientific writing competitions, and the ability of students to innovate in research, it is necessary to do evaluation. The method used to evaluate the implementation of research boards in schools is the CIPP evaluation model. The use of CIPP model, the implementation of school research boards was evaluated in terms of context, input, process and product. This research was conducted at the Bali Mandara State Senior High School. The result of this research showed that, from a contextual perspective, was the legality of the existence of the research board in schools as indicated by the school’s decision letter regarding the research board. However, from the students’ point of viewthere were 140 students and teachers involved in research council activities, supported by assignments. Meanwhile, from a process perspective, the research council’s activities were carried out through extra-curricular activities. The last, in terms of products, the research council’s activities produce scientific work of students who were ready to take part in scientific writing competitions. There were 4 students whose research results succeeded in becoming Indonesian students’ research competency finalists and 6 students who passed the scientific writing competition.
The utilization of lady fingers banana flour into cake as creative product to empower the local ingredients
Authors: Masdarini L , Ariani R P , Ekayani I A P H
Published: March 2021

This research aimed at creating good quality cake made of lady fingers banana flour as a way to support the empowerment of local ingredients as well as the food shelf life. The target of this research was to gain a variation of cake made of lady fingers banana with good quality standard formula. Meanwhile, the specific targets were: (1) gaining an accurate formula of lady fingers banana cake, (2) gaining the quality of lady fingers banana cake seen from its volume, pore, aroma, texture, and taste through organoleptic test, (3) gaining feedback about the society’s taste towards the lady fingers banana cake. The data were obtained by observation using quality test observation sheet (organoleptic test) to 5 expert panelists and the taste test observation sheet to 15 people in the society. Then, the data were analyzed descriptively. The result shows that (1) the formulation of 75 % lady fingers banana flour was the best formulation for standard recipe of making lady fingers banana cake, (2) the variation of lady fingers banana cake had organoleptic quality in the rate of good in the aspect of volume, pore, aroma, texture, and taste, (3) the society liked the product of lady fingers banana flour from the aspect of volume, pore, texture and taste. Meanwhile, society shows that they quite liked the aroma of lady fingers banana cake.
Development of bit fruit extract (beetroot) as a natural color for tempe noodle products
Authors: Damiati  , Suriani M
Published: March 2021

This study aimed at obtaining tempe noodles by optimizing the natural coloring ingredients of beetroot extracts to support the empowerment of natural dyes as functional ingredients by: (1) Beetroot extract formulation in processing tempe noodle products, (2) Knowing the nutritional value of tempe noodle products using beetroot extract natural dyes, (3) Determine the quality (taste, color, and texture) of tempe noodle products using beetroot extract natural dyes. This was experimental research. The design of this study provided 150 ml, 100 ml and 50 ml beet extract formulations. While the data collection techniques were carried out through organoleptic quality tests with parameters, namely color, taste, and texture. There were 30 panelists involved. The data collected were analyzed descriptively. The results showed that: (1) tempe noodles with a 150 ml formulation of beet extract were quite preferred in terms of color and texture. (2) tempe noodles with formulation of 100 ml beetroot extract were preferred in terms of color, texture and taste. (3) tempe noodles with formulation of 50 ml of beetroot extract were quite preferred in terms of texture and taste, while in terms of color, thet were less preferred. The nutrient content (protein) with a 100 ml formulation of 27.355 gram was higher than the 150 ml (23.418 gr) and 50 ml (24.4108 gram) formulations. Thus optimizing the processing of noodle products using beet extract is a 100 ml formulation because it produces the best quality of taste, color, texture and protein concentration.
Processing mocaf into pie susu with the addition of super food ‘spirulina’
Authors: Ariani R P , Ekayani I A P H , Masdarini L
Published: March 2021

The purpose of this study was to obtain pie susu mocaf-spirulina products with local fruit varieties (pineapple and Balinese grapes). Mocaf (modified cassava flour) has characteristics similar to low protein flour and gluten free. Spirulina is a type of blue-green algae that is considered a super food because of its nutritional properties that are very good for health. The research method includes 1) experimental trials of the formula for mocaf spirulina pie susu, in the variation of the addition of spirulina to the formulation of mocaf pie susu 2) conduct an Organoleptic Test, with an instrument using the Visual Analog Score (VAS) for the Hedonic test (preference) 3) Perform an Organoleptic Test, with an instrument using VAS for the Hedonic Quality test (quality). The results showed: 1) obtained a pastry formulation (skin) of mocaf pie susu with the addition of 2.5 gr of spirulina (0.5% of the weight of the ingredients) ained mocaf pie susu formulation with the addition of 2.5gr spirulina to mocaf pie susu with pineapple and grape vla; 2) The level of preference for mocaf spirulina pie susu (pineapple vla and grape vla) is the color of the likes category, the texture of the likes, the aroma of the likes and the taste of the likes. 3) the quality level of mocaf spirulina pie susu (pineapple vla and grape vla) is greenish color, crunchy texture, pastry fragrant aroma and sweet taste.
A Study for taking an approach in Industrial IoT based Solution
Authors: Hassan Shakib Kazi , Faiza Neha Farhin
Published: March 2021

In present era demand for small and portable electronic devices which supports internet connectivity is increasing all around the world and across all industries. These IoT based devices are gaining popularity because of their ease of use. These devices also provide powerful interoperability and feasibility in almost all situation. We can use Internet of Things (IoT) as a great instrument for achieving the desire of connecting people and devices everywhere all the time and in all situations. IoT builds a network of different types of devices such as small handheld devices, vehicles, home appliances etc. that are connected together. This network is incorporated with small sensor nodes, wireless connectivity and actuators for collecting data from adjacent environment and transfer data seamlessly to the base station without any computer or human interaction. Though Internet of Things (IoT) is a primitive term which has greatly attracted the attentions of researchers and academicians it is now getting limited by a number of factors such as flexibility, interoperability, concurrency, scalability and addressing issues. In this paper we will discuss how to make approach when we will go for IoT based solutions considering several parameters such as cost effectiveness, profit generation, maintenance, security etc. In which projects IoT based solutions will be feasible considering. Its network infrastructure, architecture, processing power and scalability.
Power Quality Disturbance Classification based on Kalman filter and Adaptive Neural Fuzzy Inference System (ANFIS)
Authors: Kalyana sundaram P. , Girishkumar G.
Published: March 2021

The paper introduces a new method for analyzing and classifying various Power Quality (PQ) disturbances using Kalman Filter (KF) and Adaptive Neural Fuzzy Inference System (ANFIS). The variety of distortion waveforms are simulated on the test system using MATLAB software and various input features like amplitude and slope have been used in ANFIS classifier technique inorder to clasify the PQ disturbances. This is mainly achieved by implementing and training ANFIS classifier through the obtained features by KF method for disturbance classification. The results indicates that the KF based ANFIS method is clearly detected and classify the several PQ disturbance signals. The performance of the KF based ANFIS has been evaluated by comparing the results against KF based neural network and KF based fuzzy system.
Overview of Cognitive Radio Networks
Authors: Hassan Mohamed , Singh Manwinder , Hamid Khalid
Published: March 2021

Cognitive radio (CR) allows the best use of dynamic access to spectrum and wide spectrum diversity to mitigate spectrum depletion issues and fulfil huge wireless networking requirements. This paper also illustrates, discusses, and focuses on some essential applications, a proactive spectrum sharing strategy using full-duplex (FD) in the cooperative Cognitive Radio Networks (CRN).
Fuzzy based hierarchical optimized approach with connectivity in WSN using multiple conflicting factors for application in the supervision of pipeline
Authors: Rajpoot Prince , Dwivedi Pragya
Published: March 2021

Wireless sensor network presents a real-time system different from its traditional infrastructure, which comprises of sensor nodes have limited computation, energy and storage space. The main issue of WSN is to maximize the network lifetime of WSN as sensor nodes began to die after a certain interval of time. To resolve this issue many algorithms have been proposed keeping clustering as the best solution. The best cluster head selection has extremely minimized energy consumption. We have worked on a hierarchical algorithm which deals with fuzzy logic approach rooted on four parameters- a) Delay, b) Connectivity to Sink, c) Average Lifetime of Member Nodes, d) Standard Deviation of Lifetime of Members. We have used these parameters for data communication regarding the hazardous activities in the pipelining like: leakage of gas, petrol etc. This algorithm is for low computational sensor networks in nature where we can’t compute a lot. Connectivity confirms the effective data communication between CH to BS. We have shown a graphical rep The results and simulation depict the efficiency of the proposed algorithm with the base algorithm. A worthy increase in the existence of the network can be examined as compared to traditional ways of selecting the cluster head.
Tuning Neural Networks for Geofencing Applications
Authors: Eldho John George , Joseph Mamutil Rohit
Published: March 2021

Neural networks have been used in a wide range of applications such as Image processing, Object detection, Weather and Economic Forecast and many other areas where algorithms which could learn from data have been revolutionizing. This study elaborates on the usage of neural networks in the field of geofencing. Ever since the advent of satellite-based Maps, Geofencing has been mentioned as one of the key possible features. With the booming usage of smartphones and IoT based devices, Geofence has a key role to play in location based advertising, marketing, GPS tracking, etc. This paper explains how to use neural networks for detecting whether a point is in geofence or not. It is proved in this study that neural networks perform better over commonly used techniques such as the Ray casting method in some scenarios.
On Choosing Structure for a Machine Learning-based Reaction Force Predictor for Walking Robots
Authors: Zalyaev E , Savin S , Salikhzyanov A , Golousov S
Published: March 2021

This paper focuses on the topic of contact reaction prediction for walking robots, namely on the analysis of performances on different structures of the machine-learning-based predictors. Predicting reaction forces is important due to the fact that it can allow us to retrieve a simplified model of the contact scenario, as was proposed in the literature preciously. This allows to turn the problem of contact model identification into a data collection and processing problem. In order to do it effectively, both a data compression (feature extraction) and regression strategies might be used. This research provides an analysis of both with respect to the discussed problem.
An Automated Retrofittable Street Light Solar Panel Cleaner
Authors: Kanna Sivakumar Vishaal , Mani Hema Vishnu , Krishnapuram Seetharam , Saha Shubhodeep , Bharadwaj Ajay , Surya Kumar Rohit , Ramanan Sundara Raman Raja
Published: March 2021

Solar energy is the most abundant and constant source available, across the surface of the Earth. A Solar panel or PV module is an essential component that is being used for the conversion of sunlight directly into direct current (DC) electricity. A major drawback of solar panel system is its extremely low efficiency of conversion of light energy to electrical energy and its further drop when there is laxity of care and maintenance of the panels. This project is focused on designing and developing a sensor-based street light solar panel cleaning mechanism which can be added as a retrofit and requires minimal human interference to operate. The water-based system with a pair of wiper blades is mounted on a pair of lead screws which are rotated by a pair of servo motors which are powered by current drawn directly from the panel. The water is supplied by a tank fixed on the underside of the panel and a catchment dugout at the bottom end of the panel allows the run-off water to get collected after the cleaning operation. The system operates based on the information collected from a timer, voltage sensor, current sensor, and humidity sensor. The operational frequency of the system is based on the information provided by the sensor and varies based on the accumulation rate of particulate matter on the panel and the reduction in transmittance because of the same.
Extraction of handwritten and printed text from a form
Authors: Shah Aayush , Doshi Neel , Shah Jainam , Goel Kunal , Raut Purva
Published: March 2021

A lot of offline information or request forms available at certain government firms and similar companies use text boxes to fill the information. The data from these manually filled forms has to be manually filled in the machine database requiring a person to type the data. The proposed system uses a blend of machine learning technologies to extract the text data from such forms and automatically convert it to text that can be processed and understood by the computer.
Planning Adaptive Brachistochrone and Circular Arc Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs
Authors: Bhardwaj G , Mishra U A , Sukavanam N , Balasubramanian R
Published: March 2021

A novel efficient downstairs trajectory is proposed for a 9 link biped robot model with toe-foot. Trajectory of hip joint plays a significant role towards stability of the robot reason being the center of mass which lies approximately close to the hip position. Brachistochrone is the fastest descent trajectory for a particle moving only under the influence of gravity. In case of downstairs movement of robot, methodology for brachistochrone and circular arc trajectories for hip joint is developed. Here, an adaptive trajectory planning algorithm is implemented along with unsupervised artificial neural network (UANN) based inverse kinematics solution, so that biped robots of varying link lengths, masses can climb down on varying staircase dimensions. Zero Moment Point (ZMP) based COG trajectory is considered and its stability is ensured. Cycloidal trajectory is considered for ankle of the swing leg. Parameters of both cycloid and brachistochrone depends on dimensions of staircase steps. Hence this paper can be broadly divided into 4 steps 1) Developing ZMP based brachistochrone and circular arc trajectory for hip 2) Cycloidal trajectory planning for ankle by taking proper collision constraints 3) Solving Inverse kinematics using UANN 4) Comparison between both proposed hip trajectories. The proposed algorithms have been implemented using MATLAB®.
Structure design and Strength check of the Re-import section of a continuous transonic wind tunnel
Authors: Xie Qiang , Yin Yongtao , Li Yin , Cai Qingqing , Luo Yuanqiang
Published: March 2021

In order to accelerate the development of large transport aircraft, it is important to build a continuous transonic wind tunnel. The re-import section, acted as a key part of the wind tunnel, plays an important role in maintaining the stability and balance of the wind tunnel. On this account, the structure design and strength check of the re-import section is investigated. Firstly, the 3-D model of re-import section is established based on NX software. Secondly, the layout of stiffeners is optimized to solve the bearing problem of components. Finally, the strength check of the re-import section is carried out based on ABAQUS software to validate the effectiveness of the designed structure.
Design of microcomputer anti-misoperation alarm system for substation based on intelligent Agent
Authors: Wang Chao , Zhang Bo , Ma Xiao
Published: March 2021

The traditional substation microcomputer anti-misoperation alarm system has some problems, such as too long judgment time and low alarm accuracy. Therefore, this paper designs a kind of substation microcomputer anti-misoperation alarm system based on intelligent Agent. BP learning algorithm is used to judge the wrong operation of power station microcomputer and determine the error coefficient of substation. Through intelligent agent technology, the substation maloperation alarm and Substation Microcomputer anti maloperation alarm system are designed. In order to verify the effectiveness of the design system, a comparative experiment is designed. The results show that the designed system has high processing efficiency and high alarm accuracy.
Outdoor terrain recognition based on transfer learning
Authors: Zeng Song , Huang Hao , Shi Zhenyun
Published: March 2021

Terrain recognition exerts an extremely important role in outdoor mobile robot gait planning, speed control, environment perception, etc. Compared with the traditional terrain recognition process that uses color, texture, and other underlying features to describe terrain images, the present study starts from the perspective of transfer learning. MobileNet and DenseNet are employed for high-level feature extraction, and the voting integrated learning algorithm is used to classify high-level feature data sets. In the meanwhile, we have established an outdoor terrain data set that conforms to the traveling process of outdoor mobile robots, and processed the collected video data with key frames and sliding windows. The accuracy of the classification results reached 97%, basically satisfying the needs of actual terrain recognition.
Design of millimeter wave radar amplification module
Authors: Wang Cao , Chen Chuan , Fang Yong
Published: March 2021

In this paper, the millimeter wave radar amplification device is designed using the MWG303 power amplifier chip of Milliway Electronic Technology Co., Ltd. The whole device comprises an input waveguide microstrip transition structure based on Rogers 5880 and an output waveguide microstrip transition structure based on quartz. And waveguide structures such as waveguide turn and waveguide lift, in this design, the waveguide microstrip transition circuit is designed and simulated in the 3D electromagnetic field simulation software HFSS of Ansoft Company, and then the parts are combined, and the micro-assembly test is carried out after CAD processing. The results show that the gain can reaches more than 10dB. The design has the advantages of high gain, good flatness, practical structure and so on.
Linearity analysis of a hemispherical resonator gyro (HRG) based on force-rebalance mode
Authors: Jia You , Jiao Wen , Lihuang Xu , Min Zhu , Tianfu He
Published: March 2021

Linearity is one of the most important static indexes of hemispherical resonator gyro (HRG). Linearity directly affects the measurement error of the HRG in the full range, thus determining the effective range of the HRG. Through finite element analysis of the linearity of the HRG under force-rebalance mode, we can provide a theoretical basis for compensating the linearity by circuit or software, improving the linearity of the gyro combination and increasing the maximum effective range of the gyro combination.
Track non-contact detection method based on pulsed eddy current array and line structured light
Authors: Shang Chunxu , Guo Yan , Chen Zehao , You Haonan
Published: March 2021

Non-destructive testing methods are used to monitor the rails in operation to ensure the safety of train operation. Compared with traditional manual testing methods, non-destructive testing technology has higher detection efficiency and detection accuracy, and can also reduce the manual operation cost of railway detection. Based on the above advantages, this article combines two modules of linear structured light and pulsed eddy current array. Linear structured light can detect rail surface defects, pulsed eddy current array can detect defects inside and deep within the rail, defect information can be obtained through image processing, and the location of the defect can be accurately located by GPS locator, thereby improving the efficiency and Accuracy, and to ensure the safety of the rail. Railway transportation enables railway maintenance personnel to find and replace damaged rails in time.
Fault tolerant control of fixed wing uav based on adaptive method
Authors: Chen Jie , Lin Jianxin
Published: March 2021

with the rapid development of fixed-wing uav technology, the requirements for precision and fault tolerance are getting higher and higher. However, the control methods commonly used at present have shown the shortcomings in accuracy and fault tolerance. Especially when there is unknown interference in the controlled object, the commonly used control method such as PID control is far from the desired effect, and the adaptive control just can make up for this shortcoming. Adaptive control can automatically adjust the controller parameters or control laws in the control system according to the output of the system.

The main content of this chapter is to design an adaptive law to directly estimate controller parameters in the case of partial actuator failure and certain disturbance, so as to construct an adaptive closed-loop system controller, which can compensate actuator failure failure and offset system disturbance, and ensure the asymptotic stability of the closed-loop system.
Research on Dehazing Algorithm of Single UAV Reconnaissance Image under Different Landforms Based on Retinex
Authors: Zhao Linhong , Zhang Shun , Zuo Xianzhang
Published: March 2021

Aiming at the weakness of the dark channel prior modelin and Retinex algorithm such as slow calculation speed, halo effect, and loss of details in the processing of UAV single image dehazingand, an improved Retinex algorithm is proposed. First, convert the RGB color space to the HIS color space, separate the brightness I, assign values to the three scales of large, medium and small, use Gaussian surround to obtain the three scale brightness images and then weight, and then switch the brightness image to the RGB color space, in order to achieve the information with more details. Finally, the haze images which is distinguished in three different landforms such as city, mountainous area and forestwill be performed simulation experiments in MATLAB, and adjust the image restoration effect by changing the parameters.
Analysis of Stability and Vibration Transmission Law of Type A Metro Vehicles
Authors: Feng Zunwei , Xiao Haijian
Published: March 2021

In this paper, a dynamics test is carried out on the 120km/h type A metro vehicle, and the vibration characteristics of the car body, the bogie frame, the motor and the gearbox are respectively monitored at different speed levels of the motor car and trailer. Vibration acceleration sampling was conducted according to GB/T 5599-2019 to obtain the vehicle body’s stability index and analyze the vehicle body’s vibration characteristics. According to UIC518-2005, the root mean square (RMS) value of the frame lateral acceleration is used as an index to analyze the vibration characteristics of the frame. By sampling and analyzing the vibration acceleration of the motor and gear box, the rotation frequency of the motor at 95km/h and the vibration transmission frequency of the transmission system in three directions are obtained.
Research on Pedestrian Multi Object Tracking Based on FairMot Transfer Learning
Authors: Chen Hongjun , Zhao Liheng , Ma Lei
Published: March 2021

Object tracking is divided into two processes: multi object detection and multi object tracking. In this paper, the multi object detection is studied firstly, and the multi object detection algorithms based on prior box anchor and anchor-free are analyzed and compared. Then in the second process of multi object tracking, multi object tracking algorithm are researched: the multi object tracking algorithm based on prior box anchor, the multi object tracking algorithm based on anchor-free. Finally, Finally, an experiment is carried out to track the pedestrians on the road by using FairMot transfer learning, and the metrics of MOTA, IDF1, IDS, MT, ML and FPS are analyzed. Experiments show that under the method of using transfer learning, MOTA can be improved by 4.2 percentage points.
Study of Development & Application about Assembly Technology of Optical Fiber in High-capacity Satellite
Authors: Song Xiaohui , Xie Jiulin , Wang Wei , Guo Liang , Zhang Qiang , Cheng Yue , Liu Xiaoyi
Published: March 2021

This article proposed a method for final assembly of optical fiber cables based on the needs of satellite installation of optical fiber cables, the structural features of optical fiber cables, and on the basis of fully demonstrating the installation conditions of optical fiber cables. The articles also analyzed factors that affect the quality of the final assembly of optical fiber cables based on the rationality of wiring and the effectiveness of cable protection and the reliability of electrical connector insertion. The method proposed by the article greatly improves the assembly efficiency while effectively ensuring the safety and reliability of the final assembly of the product.
Research of Fluid Flow Characteristics forSurface Morphology of Solid
Authors: Yan Zhiwei , Liu Jiquan , Zhu Kun
Published: March 2021

A large number of asperities have been left on the solid surface after mechanical processing. Aiming at this complex shape, a laminar flow model between solid contact interfaces is established, and the irregular concavo-convex structure is used to simulate the interface structure in micro-channels, then it is studied for the flow characteristics of incompressible viscous fluids in random micro-channel. The channel of model adopts the form of 2D and 3Dmodel. The interface structure in the microchannel is simulated with irregular micro-convex bodies, and physical quantities such as aspect ratio and length ratio are defined. It is used to analyze the influence of micro-channel on the velocity and pressure of fluid flow by Computer simulation technology. The velocity andpressure of the fluid in the microchannel increase as the area ratio of the micro-convex to the micro-channel increases, the length of the micro-protrusion is not the main factor affecting the fluid flow characteristics, the structure of the micro-convex is is one of the key factor affecting the fluid flow characteristics, they are showed by the simulation results. This research provides certain guidance and reference for solid surface design.
An Active Handoff Algorithm based on The Retention Time of Complementary Nodes
Authors: Zheng Xiaojian , Fu Tiewei
Published: March 2021

Due to the frequent joining and quitting of nodes in P2P network, it often leads to the failure of accessing nodes, and the decrease of system availability. Some of the existing methods are to switch a node’s service to its backup node after it is found to exit, and the backup node will continue to provide services. But the actual results are not ideal. The reason is that the service request of the node is always not responded from the time when the node exits the network to the time when the service switches to the backup node. This paper proposes an active handoff algorithm based on the retention time characteristics of complementary nodes. By predicting the exit time of the node, it finds the node complementary to the node in time as the backup node, and actively switches to the backup node before the node exits the network, so as to realize the service continuity. Experimental results show that the algorithm reduces the access failure and improves the system availability.
A New Type of Right-leg-drive Circuit ECG Amplifier Using New Operational Amplifier
Authors: Yang Wang
Published: March 2021

The low-power consumption and low-noise sensor remain an important challenge in Electrocardiogram (ECG) sensor field. A new operational amplifier (op-amp) design is proposed in this study, and it is integrated into the traditional “right-leg-drive” circuit to cancel out the common-mode interference. Besides, the gain of this circuit can be controlled by adjusting the value of these resistors. Then, the traditional op-amp is redesigned to improve the performance of this circuit. Some improvements are made on the basis of the traditional sleeve-type cascade amplifier to obtain good gain and gain bandwidth. At the same time, power consumption is not too high. Meanwhile, to minimize the noise of the op-amp without using large value capacitors, pseudo-resistors are used. The right-leg-drive circuit is used in the overall process to ensure good common-mode rejection ratio (CMRR) performance. For the newly designed op-amp, its gain can reach 60db, and the operating frequency of the circuit is between 0.1HZ and 108HZ, and the error is no more than 10%. The differential mode gain of the overall circuit is 43.4db, and the error is within 5db. The total power consumption of the circuit is 3.17u watts, which is less than the specified maximum power consumption, and the total integrated input-referred noise is 3.786μVRMS, which is less than the specified maximum circuit noise. The total capacitor usage is 1nF, less than the specified maximum capacitor usage. To sum up, the ECG sensor is designed using the “right leg drive circuit” and a new type of amplifier is designed to eliminate common-mode interference and improve the performance of the amplifier.
A formal framework for robot to understand compound concepts
Authors: Liao Yuanxiu , Yan Mingrui , Li Xinqiao
Published: March 2021

Social robots are playing an important role in assisting humans in shopping, caring for the elderly and educating children. However, to accomplish these tasks with high quality, social robots still face huge challenges. One of the main challenges is how robots understand the intentions of human behavior and predict human needs in order to respond appropriately. Most existing social robots determine the intentions and needs of humans based on the postures and actions in a specific scene. We know that it is not enough to understand human intentions and needs based on gestures and actions. It will be more perfect to understand human intentions and needs through natural language communication. To this end, we propose a formal framework for describing robots’ understanding of simple and compound concepts. Once the robot has the ability to understand compound concepts, it has the ability to understand some simple knowledge. We first introduce the formal methods of expressing the connotation and extension of simple concepts, and then propose a framework for robots to understand simple concepts, and finally build a formal framework for robots to understand complex concepts. This framework provides a formal method for robots to understand knowledge.
Ride comfort analysis and optimization of heavy vehicles based on entire dynamic model
Authors: Zhu Jizhi , Wang Youjie , Yang Liwei , Liu Yue
Published: March 2021

Ride comfort improvement based on dynamic characteristic analysis is investigated. An entire dynamic model of a typical heavy truck is developed in order to obtain further investigation. The effects of sensitive mode shapes pitch around rear axle, bounce, pitch around front axle and cab resonance on vibration transmissibility from wheel to cab base are observed. The influence of leaf spring stiffness at front and rear axles on important mode shapes has been presented. Appropriate stiffness adjustment is suggested to improve ride comfort level, and the research flow can be also used for any other vehicle design.
Analysis and Design of Power Electronic Transformer for Smart Grid Application
Authors: Yichen Jin
Published: March 2021

With the development of smart grid and energy Internet, power electronic transformer has become one of the key equipment in power system. Its characteristic research and structure design have become a hot topic in related research fields. In order to take into account, the access of traditional AC motor system and renewable energy system, a three-stage power electronic transformer simulation model based on Simulink platform is built in this paper, and the key characteristics are analyzed and verified. With the application of power electronic transformer, the AC voltage can be adjusted quickly, and the AC / DC interface can be taken into account in the transmission system.
Design of DDR3 SDRAM read-write controller based on FPGA
Authors: Yi Jinhui , Wang Mingfu , Bai Lidong
Published: March 2021

In order to flexibly adjust the frame delay of real-time image acquisition by high-resolution cameras, which is based on optical fiber communication protocol, and facilitate subsequent control, this article uses MT41J128M16JT-125IT DDR3 SDRAM of Mircon company to cache image data. And based on the MIG controller that comes with Xilinx Vivado development tool for continuous read and write control, the results show that when the camera system is designed at 2fps and the system clock is 50Mhz, the system data bandwidth is 2.2Gbps. The selected DDR3 chip has a bandwidth of 6.25Gbps, which can meet the real-time transmission requirements of the design system.
Research on Microstructure and Properties in Welded Joint of 700 MPa grade Low Carbon Micro-alloy steel
Authors: Zhixiang GU
Published: March 2021

High-strength residual heat treatment steel bar was tested with welding thermal simulation in Gleeble 3500. Effect of heat input on the microstructure, impact toughness and microhardness of weld heat-affected zone (HAZ)was studied. The results show that with the increase of t8/5, microstructure of coarse grain heat-affected zone (CGHAZ)transforms into granular bainite and pearlite in stead of ferrite, feather-like upper bainite and strip-like lower bainite, HAZ impact value increases firstly then decreases and reaches maximum at t8/5= 100s and the hardness decreases. And when t8/5 increased to 60s there were only ferrite and pearlite in the microstructure of CGHAZ. The impact energy of high-strength residual heat treatment steel bar would be at the range of a good level for physical production with the range of t8/5 from 20s to 300s.
Design and Implementation of Course Arrangement Model Based on Reforming Deep Reinforcement Learning
Authors: Lei Zhang , Xu Fangqin
Published: March 2021

Aiming at the problem of curriculum arrangement, this article abstracts it into two subjects and multiple attributes, and successfully abstracts the problem into a curriculum arrangement model design problem. This paper analyzes the characteristics of the curriculum arrangement problem and combines the characteristics of the deep reinforcement learning algorithm to propose a reformed deep reinforcement learning model. At the same time, the state representation method and action selection method of each stage are designed. Different from general deep reinforcement learning, this article no longer uses action set as the behavior process, and selects the course by optimizing the weight to achieve the purpose of course arrangement. Finally, this paper carried out a comparative experiment to verify the algorithm, which proved that the deep reinforcement learning algorithm based on transformation can effectively solve the problem of curriculum arrangement, and has higher efficiency and higher learning ability than genetic algorithm.
Research on the Relationship Between the Performance and Geometry of Secondary Optical Elements in Fresnel Concentrating System
Authors: Pan Yeyang
Published: March 2021

Secondary optical elements play an important role in solar concentrating systems, including increasing tracking error tolerance and radiation flux homogenization. In this paper, for the Fresnel lens concentrating system, the SOEs with various geometric shapes are compared, including the quadrangular frustum pyramid SOE(KFTS-type SOE), quadrangularprism SOE, circular frustum SOE, cylinder SOE and concave lens. The influence of the shape of the incident plane and the length of the SOE on the uniformity of the solar radiation distribution of the output spot is analyzed by Monte Carlo rays tracing method. Simulation results show that KFTS-type SOE has advantages in improving the radiation uniformity of the receiving surface. Furthermore, two new SOEs are designed on the basis of KFTS-type SOE, one of them has a significant improvement in increasing the acceptance angle when using the same amount of materials.
Simulation of dual-wavelength self-similar pulse based on two dimensional material fiber laser
Authors: Liu Weici , Wu Yunting , Qi Lei
Published: March 2021

Multi-wavelength self-similar fiber laser has many advantages that other lasers do not have. It has many applications in industry, sensing, medical, military, communication and other fields. Two dimensional material devices can be used as saturable absorbers to construct dual-wavelength self-similar pulse mode-locked fiber lasers. In this paper, the evolution characteristics of dual-wavelength self-similar pulse based on two dimensional material mode-locked fiber lasers are analysed.
Design of Single Phase Voltage Inverter Control Circuit Based on Single Chip Microcomputer
Authors: Su Qiaoping , Liu Yuan , Wu Shijie
Published: March 2021

In this paper, a control circuit is designed, which can reverse the direct current into alternating current. This circuit is based on STC12C5A60S2 MCU, using its PCA function to achieve two SPWM signals, then inverts DC 12V to AC 24V. The data test shows that the AC voltage obtained by this device is stable and the frequency error is small, so it can be applied to the demand field of small-scale inverters.
The influences of dispersions on supercontinuum in photonic crystal fiber
Authors: Liu Weici , Wu Yunting , Qi Lei
Published: March 2021

The generation of supercontinuum (SC) is the result of nonlinear effect and dispersion. In order to better understand the broadening mechanism of SC, this paper studies the influences of various dispersions on SC generation and evolution in photonic crystal fiber.
Study on thermal cracking of mudstone induced by thermal recovery of heavy oil
Authors: Huan Xiaolin , Sun Feng , Xue Shifeng
Published: March 2021

Steam assisted gravity drainage (SAGD) is an effective thermal recovery method for heavy oil reservoirs. Mudstone interlayers with low-permeability may block the expansion of the steam chamber and then reduce the SAGD thermal recovery. However, the mudstone may be thermally fractured by the coupling effects of thermal-hydro-mechanical (THM) in the SAGD production process. In this study, taking a heavy oil reservoir in Xinjiang as an example, we studied the thermal cracks’ initiation of mudstone interlayer by numerical simulation. Results show that: (1) Temperature changes are the main factor of affecting mudstone’s fracturing or crack propagation, and the effects of mudstone interlayer’s thickness are slightly. (2) With larger Young’s modulus, the critical fracturing temperature is lower. (3) In the peak period of gravity drainage, along the horizontal well, most of the mudstone interlayers reach the fracturing critical value and produce thermal cracks. The existence of thermal cracks will improve the SAGD productivity.
Research on Key Technologies of Campus Microgrid Control
Authors: Hu Zhihui , Liu Wenzhou
Published: March 2021

Taking campus microgrid as the research object, combining the characteristics of campus energy use and the development trend of multi-energy complementary microgrid, a typical architecture of microgrid system suitable for campus is proposed. This paper discusses the significance and future development prospect of microgrid to ensure the safety of campus energy consumption.