{"title":"Research on Data Collection and Analysis of Second Hand House in China Based on Python","authors":"Hejing Wu, Ran Cui","doi":"10.21307/ijanmc-2021-015","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-015","url":null,"abstract":"Abstract With the rapid development of domestic Internet, more and more people choose housing leasing activities through the Internet, however, the existing housing rental information website the quantity many, but because of various advertising, information is scattered, so to HOME LINK sites, according to the position provided by the customer, accurate demand such as rent or house type, vertical search related data from the rental information website and in accordance with the provisions, the structure of the storage, rent information data to provide data for subsequent analysis. Bring users a faster experience. At the same time, we should add the reminding of the houses we are interested in and the reminding of price reduction. For the users who cannot look at their mobile phones all the time, timely reminding can help them avoid missing many desirable houses. This system is committed to solving the current people to rent a request for the search of detailed provide the keywords needed. To help make it easier for everyone who needs to rent. The system is mainly composed of data cleaning, data access, algorithm design and implementation, Python implementation of the front and back end of the system, data formatting and auxiliary decision.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring Technically Feasible and Economically Viable Hybrid Renewable Energy Solution for Off-Grid Electricity Supply Titl","authors":"O. Eseosa, Ekiyor Martin Thompson","doi":"10.21307/ijanmc-2021-012","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-012","url":null,"abstract":"Abstract Solar energy as one of the many sources of renewable energy-based off-grid electricity supply is traditionally considered as an expensive and unreliable source of power. But as technology improves over the years, renewable energy sources are beginning to take the stage of modern energy divide. Based on the limited generation and distribution companies (GENCOs and DISCOs) grid electricity supply in Nigeria, it becomes pertinent to complement available grid power with renewable sources. The purpose of this study is to propose the best hybrid technology combination for electricity generation to reliably satisfy the electrical needs of an off-grid remote village, Ofubu, New Patani in Bayelsa State, Nigeria. Solar PV systems and diesel generator are considered. The study estimates the day-to-day load demand Using HOMER software. Identification of the optimal off-grid option and comparison with conventional grid extension was carried out. The results obtained shows that hybrid combination of an PV-diesel is an effective alternative for an off-grid rural location and it is sustainable, techno-economically viable and environmentally friendly most especially considering the concept of green and clean energy source. The study also discussed issues that are likely to influence the realization of the optimal solution.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"36 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134631199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generating Sea Surface Object Image Using Image-to-Image Translation","authors":"Wenbin Yin, Jun Yu, Zhi-yi Hu","doi":"10.21307/ijanmc-2021-016","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-016","url":null,"abstract":"Abstract Sea objects training, the conditional adversarial networks require a large number of images to solve image-to-image translation problems. In the case of insufficient samples, it leads to network overfitting and poor training results. This project proposes a conditional adversarial generative model that retains the original background features in the absence of paired samples. The goal of this project is to reduce the deviation of the corresponding output from the original input. Firstly, the object images of different categories are labeled with color masks. Second, sea objects are generated randomly in the original background using model of this project. Finally, the generated results of this approach are compared with other approaches. The experimental results show that, compared with results from other conditional adversarial generative models, the generated object images using model of this project have the characteristics of richer texture and clearer structure.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129571509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review of Segmentation Technology Based on 3D Point Cloud","authors":"Wang Xu, Liu Baolong","doi":"10.21307/IJANMC-2021-006","DOIUrl":"https://doi.org/10.21307/IJANMC-2021-006","url":null,"abstract":"Abstract Point cloud is an important data format that can completely express scene information. In recent years, with the dramatic increase of polygon complexity of model, the advantage of point model becomes more and more obvious. The point-based computer graphics, which takes point cloud as the research object, has aroused the attention of more and more people, and has been widely used in many fields such as computer vision, automatic driving and robot. In this paper, the point cloud segmentation methods and research status were reviewed in detail, the representative algorithms of each type of methods were analyzed and introduced, and the basic ideas, advantages and disadvantages of each type of methods were summarized. Finally, the problems faced by the segmentation technology and the development direction of the future work are prospected.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121116438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research and Implementation of Emitter Threat Assessment Based on Distributed Simulation","authors":"Xiaojuan Feng, X. Liang","doi":"10.21307/ijanmc-2021-027","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-027","url":null,"abstract":"Abstract The threat degree of radiation source detected by fighter in penetration operation is the main reference for fighter to make the next operation plan. The research objective of this project is to evaluate the threat of radiation sources detected by aircraft, based on distributed interactive simulation technology, the system modeling of aircraft flight detection data and ground radar detection warning in distributed system is realized by building a variety of simulation modules such as ground radar model, aircraft radar model, coordinate transformation model and threat level evaluation model, the simulation environment system of airborne emitter warning is completed. In this experimental environment, through simulation, the real-time calculation of the threat factor of the aircraft radiation source can be carried out, and then the dynamic threat assessment of the radiation source target can be realized.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127771025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Capsule Network Based on Attention Mechanism","authors":"Yan Jiao, Li Zhao, Hexin Xu","doi":"10.21307/ijanmc-2021-011","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-011","url":null,"abstract":"Abstract The capsule network has good spatial recognition and has good accuracy in classification and recognition tasks. However, because of the dynamic routing algorithm in the capsule network, the training speed of the capsule network is slow. In order to make better use of the capsule network, reduce For its training cost, this paper proposes a capsule network based on the attention mechanism, and adds the CBAM attention module to the original capsule network to improve the network’s ability to extract information in the feature map channel and information in the feature map space, and improve the network’s learning ability, To reduce the number of network training, thereby reducing the cost of training. This paper conducts experiments based on the original neural network to verify the effectiveness and feasibility of adding the CBAM module to the capsule network. The final result is that the CBAM module can speed up the convergence speed of the capsule network by 50%.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Future Network is the System Innovation that Builds on the Future","authors":"Mo Chengjin, BeiDou Zhejiang","doi":"10.21307/IJANMC-2021-010","DOIUrl":"https://doi.org/10.21307/IJANMC-2021-010","url":null,"abstract":"The next 15 years, it is a new period of inspiration to unswervingly build a network power, digital China, and comprehensively strengthening the network security and security system and capabilities; it is a period of tenacious struggle to build and develop a network power with distinct sovereignty, independent control, security and efficiency, and to win a new victory in building a socialist modern country in an all-round way.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration of Structured Light Scanning System","authors":"Yi Guo, Xiaoyi Ruan","doi":"10.21307/ijanmc-2021-017","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-017","url":null,"abstract":"Abstract On the basis of studying the calibration method of the camera and the rotating platform, we designed an automatic camera calibration scheme based on four azimuth circles, which can realize the automatic sorting of the mark points. In order to improve the efficiency of identifying the center of the calibration plate, this paper uses RANSAC to improve the RED ellipse center detection algorithm. Experimental verification shows that the improved RED algorithm has increased 29.34% in anti-noise interference ability and 30.10% in center detection accuracy, which effectively guarantees the measurement stability and accuracy of the measurement system. Then, with the aid of the designed calibration board, we fit the rotation center of the turntable using the principle of three points in a circle, which provides a basis for the subsequent point cloud splicing. Experiments show that the back-projection error of the calibration method in this paper is less than 1 pixel, and the calibration accuracy is better than Zhang’s algorithm.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123267404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model","authors":"Pengrui Wang, Bailin Liu, T. Zhao, Pengxiang Cao","doi":"10.21307/ijanmc-2021-013","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-013","url":null,"abstract":"Abstract Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment maintenance resource scheduling optimization method based on the hidden semi-Markov model is proposed. Establish a hidden semi-Markov model based on the monitoring data of each maintenance point to evaluate the health status of the equipment, and calculate the importance and priority of each maintenance point based on the health status. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points and the support points. The experimental results show that using the monitoring data of four self-propelled artillery to be repaired, the accuracy of the calculated priority is 1.2% higher than the importance. Therefore, the priority of the maintenance point is selected to optimize the resource scheduling plan under the condition of meeting the task requirements and the given maintenance support resources, and shorten the average waiting time of the self-propelled artillery.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129974382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System","authors":"Xu Shuping, Wu Jinfe, Sui Xiaohui, Xiong Xiaodun","doi":"10.21307/IJANMC-2021-001","DOIUrl":"https://doi.org/10.21307/IJANMC-2021-001","url":null,"abstract":"Abstract Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation results show that the method can reflect and predict the delay characteristics of between measurement data represents the network path, and can effectively substitute for the actual network in the design of closed-loop control system based on Internet to research; the method used fast and accurate can be used for online learning network model and forecast the network delay value, provides a new way to remote closed-loop control based on Internet.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114137328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}