International Journal of Advanced Network, Monitoring and Controls最新文献

{"title":"Deep Learning in Product Manufacturing Record System","authors":"Wenjing Wang, Li Zhao","doi":"10.21307/ijanmc-2021-028","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-028","url":null,"abstract":"Abstract Deep learning based data analysis techniques are investigated in the context of product production record systems, using CNN, STACK LSTM, GRU, INCEPTION, ConvLSTM and CasualLSTM techniques to design network models and to study the processing of temporal data. Three network models are proposed for the problem of predicting the pass rate of upcoming product inspection records, namely CNN-STACK LSTM, INCEPTION-GRU and INCEPTION-Casual LSTM, and the structure of each network model follows the learning of local-global features. The experimental results show that the INCEPTION-GRU network model works best among the three models. Based on the prediction results, it is possible to correct in advance the operation of the shop technicians who do not regulate the debugging of the product, so that the initial production efficiency of the product can be improved.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"21 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":"128578515","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 Mobile Point Exchange System Based on Collaborative Filtering Recommendation Algorithm","authors":"Le Feng, Zehui Mu","doi":"10.21307/ijanmc-2021-018","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-018","url":null,"abstract":"Abstract This paper describes the development process of the mobile point exchange system from demand analysis, outline design, detailed design and implementation. The system combines current business needs and uses collaborative filtering recommendation algorithms to solve the problem of how to calculate data similarity. The system is written in JAVA language, and uses a layered architecture model to separate business modules and functional modules. The front-end uses HTML, FreeMarker and Vue technologies to achieve page display and data rendering, and the persistence layer framework uses Mybatis to implement customized SQL, Stored procedures and advanced mapping, through the Spring framework to realize the management of JAVABean, dependency injection and transaction management, and finally realize the point redemption function.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"107 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":"126112301","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":"Performance Analysis of Heat-Based Smart Phone Charger","authors":"C. A. Mgbachi","doi":"10.21307/IJANMC-2021-004","DOIUrl":"https://doi.org/10.21307/IJANMC-2021-004","url":null,"abstract":"Abstract Smart phone services have become all encompassing in these modern life activities. These phones operate with batteries that provide the necessary electrical power. The batteries’ stored energy often got used up; and the conventional electrical power charging sources like public power supply, generating sets, solar devices among others are not only unreliable but most times totally unavailable in some villages and camp settlements. There was then the need to produce simple, inexpensive and easily accessible battery chargers for the phones. This paper therefore studies and analyzes the performance of a locally-made, off-grid and renewable energy power phone charger. The device output voltage, current and hence power has been tested at varying degrees of temperatures. Finally it was tested with different heat sources like, charcoals, Gas- burner, kerosene stove, wood stove, and Camp and Barbecue fires for heat source efficiencies. The results prove that charcoals and gas-burner heat sources are the most efficient heat source for operating the heat-smart- phone charger.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"94 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":"127329233","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":"High Quality Network Connection and the Development of Internet of Things Drive the Demand of Wi-Fi-6","authors":"Tano, Lu Yuyan","doi":"10.21307/ijanmc-2021-032","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-032","url":null,"abstract":"Abstract As the most popular technology, Wi-Fi is built based on Wi-Fi standards in many consumer areas. Up to now, Wi-Fi has experienced more than 20 years of development. The launch of the first generation protocol IEEE802.11 has a low popularity because it is not competitive in transmission speed and distance. With the proposal of the third generation 802.1g protocol, IEEE adds the backward compatibility feature to the new protocol. For 802.11 protocol, new technologies will be adopted in each iteration, so as to improve the network performance. Until the latest generation protocol, IEEE802.11ax launched in September 2019 has been called Wi-Fi 6. Wi-Fi-6 has greatly improved its performance. It introduces uplink MU-MIMO, OFDM orthogonal frequency division multiple access, 1024-qam high-order modulation and other technologies to solve the problems of spectrum resource utilization and multi-user access. Even if Wi-Fi-6 continues every new WLAN standard for a long time and only makes the conventional upgrade of single stream throughput, the main motivation behind Wi-Fi-6 is to improve the experience quality of MU-MIMO users and achieve this goal by minimizing the overall delay. Therefore, higher spectrum and the effective and efficient sharing of the spectrum have become the key to achieve the minimum capacity. This paper also puts forward some views on the cooperation between 5G and Wi-Fi-6. For Wi-Fi networks, it has a faster update cycle than mobile networks. In addition, when users' usage habits are formed, the possibility of Wi-Fi network being replaced is low. Although 5G and Wi-Fi-6 differ in performance, they have their own advantages. They are suitable for different scenarios. 5G will have better performance in outdoor open places, such as car networking, while indoor Wi-Fi network can meet the more economical demand for high-speed Internet access, such as VR, smart home, etc. In the third chapter of this paper, it focuses on the demand of Wi-Fi-6 driven by the development of high-quality network connection and Internet of things. First of all, when Wi-Fi-6 was designed, high-density and high-capacity network service support has been considered, which is also the reason for supporting Wi-Fi-6 to be used in outdoor large-scale public places, indoor high-density wireless office and electronic office. However, because 5g has more advantages in the application of outdoor environment, indoor is the key application scenario of Wi-Fi-6. It is also because people's demand for information consumption, entertainment and smart device links has promoted the development of Wi-Fi-6. Secondly, the demand for high-quality network connection is prominent. With the promotion of national policies, it will help to speed up the construction of HD video content. As the main carrier of indoor transmission, Wi-Fi will be popularized more effectively when the terminal penetration continues to improve. Thirdly, the demand for the Internet of things is gradually i","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"65 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":"115256321","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":"Application Research of Decimal Network Technology","authors":"Zhang Liu, Shuyang Li","doi":"10.21307/IJANMC-2021-008","DOIUrl":"https://doi.org/10.21307/IJANMC-2021-008","url":null,"abstract":"Abstract The current Internet technology is IPv4 Protocol suite, and it is completely developed by the U.S. the IPv4 protocol address space is 232, and it has some shortcoming with the development of the Internet, and IPv6 Protocol suite proposed to expand the address of IPv4, but the two protocols are not compatible, which brings certain difficulties to the final application. The decimal network standard working group of Ministry of Industry Information Technology of China has researched about the future network for more than twenty years since 2001 and developed a whole set of decimal network system, and completed the future network IPV9 series. This paper introduces the basic technology of decimal network and its related applications. The practical application shows that the decimal network has realized the characteristics of “autonomous, controllable, high-speed and compatibility”.","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":"131016556","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":"Bluetooth 5.2 Technology and Application","authors":"Jian Wang, Huiqing Liang","doi":"10.21307/ijanmc-2021-014","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-014","url":null,"abstract":"Abstract Bluetooth, a wireless short-distance communication technology, realizes data exchange between fixed devices and mobile device. It widely used in wireless devices, including wireless mice, wireless headsets, notebook computers and other devices. With the development of the times, the traditional Bluetooth technology can no longer meet people’s needs, and a new generation of low-power Bluetooth audio technology standards came into being. Bluetooth 5.2 uses LE Audio technology, which uses low-complexity communication coding and decoding technology to realize low-power transmission of high-quality audio. This paper mainly introduces the new features of Bluetooth 5.2 technology, including enhanced ATT protocol, LE Power Control and LE Isochronous Channels.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"13 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":"114256553","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":"Feature Sorting Algorithm Based on XGBoost and MIC Combination Model","authors":"Gao Xiang, Yu Jun, Huo Zhiyi, Huang Yuzhe","doi":"10.21307/ijanmc-2021-037","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-037","url":null,"abstract":"Abstract Feature ranking can not only help the data analysis system improve efficiency, but also reduce the interference of redundant features and irrelevant features to the results. At present, feature ranking of massive data is an important and difficult problem. In order to solve the above problems, this paper proposes a feature importance ranking algorithm based on XGBoost and MIC model by analyzing the existing algorithm models. Firstly, XGBoost model and MIC model are established respectively; Then, the results of the above two models are weighted and combined by the error reciprocal method. XGBoost model has the advantages of high efficiency, flexibility and portability, while MIC model has universality and easy parameter adjustment. The resulting XGBoost MIC combination model has both advantages; Finally, the first mock exam is used as a sample set of data for anticancer drug candidates. After preprocessing the data set, the XGBoost-MIC combination model is used to analyze the case. At the same time, the calculation results of a single model are calculated, and the model is optimized by adjusting the parameters of the model. The results show that the error of the first mock exam is obviously lower than that of the single calculation model, and the accuracy of the XGBoost-MIC is 0.75, which is 0.02 higher than that of the single model.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"349 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":"123363532","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":"Design of Intelligent Warehouse Management System Based on MVC","authors":"Ping Lu, Pingping Liu, Jiangtao Xu","doi":"10.21307/ijanmc-2021-020","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-020","url":null,"abstract":"Abstract Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm is proposed. The algorithm calculates the similarity between items by analyzing user’s consumption behavior records, finds similar items to ‘target user’s favorite items, recommends similar items to ‘target user’, and designs commodity recommendation function for customer preferences, so as to improve user satisfaction and commodity sales efficiency. In order to provide users with better service experience and make the system operators easy to use, it is proposed to use B / S architecture and MVC framework model to design four modules : user management, allocation management, warehouse information management and report management, and to establish the corresponding database for unified management. Finally, the intelligent warehouse management system with high user experience satisfaction and convenient background management operation is obtained.","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":"129821925","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 the Gaze Direction of Head-Eye Data Fusion","authors":"Xin Xu, Changyuan Wang","doi":"10.21307/ijanmc-2021-031","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-031","url":null,"abstract":"Abstract The line of sight refers to the gaze direction of the human eye and reflects the focus of human attention. Head movement is an important accompanying behavior in the process of human gaze, and it is of great significance to human visual attention. This paper intends to combine the gaze focus calculation modeling of head movement and eye movement combined with deep learning data fusion. By combining the gaze direction calculation model of data fusion and neural network algorithm, deep learning technology is used to reveal the relationship between head movement and eye movement, and the data of head movement and eye movement are merged to realize accurate and fast real-time gaze spatial direction calculation. New ideas for improving the efficiency, reliability, usability and functionality of the gaze tracking system. In this paper, the convolutional neural network method is used, and the classification accuracy of the line of sight direction reaches 99% when the head posture is free.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"229 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120973475","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 Lane Detection Based on Semantic Segmentation","authors":"Jiaqi Shi, Li Zhao","doi":"10.21307/ijanmc-2021-021","DOIUrl":"https://doi.org/10.21307/ijanmc-2021-021","url":null,"abstract":"Abstract With the introduction of full convolutional neural product networks, semantic segmentation networks have also been widely used in the field of deep learning. Most lane detection tasks are currently done on the basis of semantic segmentation networks, so the development of semantic segmentation also directly determines the progress of lane detection. Methods: The development of semantic segmentation networks and the performance comparison between different model frames are used to summarize the improvement points as well as the advantages and disadvantages of each approach. Current lane detection network models with good performance based on semantic segmentation networks are described and the performance between the models is compared. Result: The current development of deep learning-based lane detection methods has been very fruitful, with significant improvements in network performance, but they cannot yet be applied in practice. For example, lightweight networks are not stable enough in extracting features, while deep neural networks are too ineffective in real time. Conclusion: Lane detection is of high research value as a key technology for unmanned driving. However, most of the current neural network methods have not been studied from a practical point of view, and there are few methods that use multiple frames as a basis for research. Therefore, in the future how to efficiently use continuous images for lane detection is a key direction to be researched in the future.","PeriodicalId":193299,"journal":{"name":"International Journal of Advanced Network, Monitoring and Controls","volume":"167 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":"133621899","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}