Pub Date : 2018-12-23DOI: 10.3991/IJOE.V14I12.9335
Jingtan Li, Maolin Xu, Hongling Xiu
With the resolution of remote sensing images is getting higher and higher, high-resolution remote sensing images are widely used in many areas. Among them, image information extraction is one of the basic applications of remote sensing images. In the face of massive high-resolution remote sensing image data, the traditional method of target recognition is difficult to cope with. Therefore, this paper proposes a remote sensing image extraction based on U-net network. Firstly, the U-net semantic segmentation network is used to train the training set, and the validation set is used to verify the training set at the same time, and finally the test set is used for testing. The experimental results show that U-net can be applied to the extraction of buildings.
{"title":"U-net Network for Building Information Extraction of Remote-Sensing Imagery","authors":"Jingtan Li, Maolin Xu, Hongling Xiu","doi":"10.3991/IJOE.V14I12.9335","DOIUrl":"https://doi.org/10.3991/IJOE.V14I12.9335","url":null,"abstract":"With the resolution of remote sensing images is getting higher and higher, high-resolution remote sensing images are widely used in many areas. Among them, image information extraction is one of the basic applications of remote sensing images. In the face of massive high-resolution remote sensing image data, the traditional method of target recognition is difficult to cope with. Therefore, this paper proposes a remote sensing image extraction based on U-net network. Firstly, the U-net semantic segmentation network is used to train the training set, and the validation set is used to verify the training set at the same time, and finally the test set is used for testing. The experimental results show that U-net can be applied to the extraction of buildings.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125792422","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}
Pub Date : 2018-12-23DOI: 10.3991/IJOE.V14I12.9494
Hui Huang, Zhe Li
In this paper, a real-time image transmission algorithm in WSN with limited bandwidth networks is studied. Firstly, a simple and effective monitoring network architecture is established, which allows multiple video monitoring nodes to access the network, and the data transmission is controlled by the synchronization mechanism without collision. Then, the image data is compressed locally at the monitoring nodes (over 85%), so that the image of each node can meet the needs of real-time data transmission, and the overall power consumption of the system is greatly reduced. Finally, based on NVIDIA TX1, four test nodes are constructed to test the algorithm cumulatively, which verifies the effectiveness of the system framework and compression algorithm.
{"title":"Real-Time Image Transmission Algorithm in WSN with Limited Bandwidth","authors":"Hui Huang, Zhe Li","doi":"10.3991/IJOE.V14I12.9494","DOIUrl":"https://doi.org/10.3991/IJOE.V14I12.9494","url":null,"abstract":"In this paper, a real-time image transmission algorithm in WSN with limited bandwidth networks is studied. Firstly, a simple and effective monitoring network architecture is established, which allows multiple video monitoring nodes to access the network, and the data transmission is controlled by the synchronization mechanism without collision. Then, the image data is compressed locally at the monitoring nodes (over 85%), so that the image of each node can meet the needs of real-time data transmission, and the overall power consumption of the system is greatly reduced. Finally, based on NVIDIA TX1, four test nodes are constructed to test the algorithm cumulatively, which verifies the effectiveness of the system framework and compression algorithm.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917488","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9503
Bohua Guo, Yanwu Zhang
To improve the data aggregation privacy protection scheme in wireless sensor network (WSN), a new scheme is put forward based on the privacy protection of polynomial regression and the privacy protection method based on the homomorphic encryption. The polynomial data aggregation (PRDA+) protocol is also proposed. In this scheme, the node and the base station will pre-deploy a secret key, and the random number generator encrypts the random number for the seed through the private key, which protects the privacy of the data. Then, by comparing the decrypted aggregate data through the correlation between the two metadata, the integrity protection of the data is realized. A weighted average aggregation scheme that can be verified is proposed. In view of the different importance of user information, the corresponding weights are set for each sensor node. EL Gamal digital signature is used to authenticate sensor nodes. The results show that the signature verification algorithm enables the scheme to resist data tampering and data denial, and to trace the source of erroneous data.
{"title":"Privacy Protection Scheme for Data Aggregation in Wireless Sensor Networks Based on PRDA+ Protocol","authors":"Bohua Guo, Yanwu Zhang","doi":"10.3991/IJOE.V14I11.9503","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9503","url":null,"abstract":"To improve the data aggregation privacy protection scheme in wireless sensor network (WSN), a new scheme is put forward based on the privacy protection of polynomial regression and the privacy protection method based on the homomorphic encryption. The polynomial data aggregation (PRDA+) protocol is also proposed. In this scheme, the node and the base station will pre-deploy a secret key, and the random number generator encrypts the random number for the seed through the private key, which protects the privacy of the data. Then, by comparing the decrypted aggregate data through the correlation between the two metadata, the integrity protection of the data is realized. A weighted average aggregation scheme that can be verified is proposed. In view of the different importance of user information, the corresponding weights are set for each sensor node. EL Gamal digital signature is used to authenticate sensor nodes. The results show that the signature verification algorithm enables the scheme to resist data tampering and data denial, and to trace the source of erroneous data.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134174703","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9502
Jiang-ping Liu, Ri-geng Wu
In order to solve the problem of supply of agricultural products, the current mode of decentralized agricultural product supply is described with the Petri net formalized modeling method. A corresponding Petri net model is established. Based on this, combined with mathematical methods, the supply chain is divided into different links, and a quantitative analysis of the operation cycle and the operational efficiency of each link is carried out. The construction of the program has changed the previous scattered farmer operating model, integrated the information of farmers and related products, and completed the production and processing of agricultural products in the form of task distribution. The circulation of information in the entire supply chain has been realized, thus ensuring the production benefits of each farmer, reducing the previous business risks that a single farmer needs to bear, and improving the operational efficiency of the entire supply chain.
{"title":"A Petri Net-based Supply Chain System","authors":"Jiang-ping Liu, Ri-geng Wu","doi":"10.3991/IJOE.V14I11.9502","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9502","url":null,"abstract":"In order to solve the problem of supply of agricultural products, the current mode of decentralized agricultural product supply is described with the Petri net formalized modeling method. A corresponding Petri net model is established. Based on this, combined with mathematical methods, the supply chain is divided into different links, and a quantitative analysis of the operation cycle and the operational efficiency of each link is carried out. The construction of the program has changed the previous scattered farmer operating model, integrated the information of farmers and related products, and completed the production and processing of agricultural products in the form of task distribution. The circulation of information in the entire supply chain has been realized, thus ensuring the production benefits of each farmer, reducing the previous business risks that a single farmer needs to bear, and improving the operational efficiency of the entire supply chain.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322650","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9519
Shuang Liu
Based on the security of the receiving signal strength indicator positioning algorithm, the RSSI positioning algorithm in the environment of witch attack, wormhole attack and replication attack has largely failed.Although existing security positioning algorithms can effectively prevent attacks from occurring, the massive consumption of network resources can’t be ignored.Therefore, a tolerable security positioning method is proposed for each of the three attacks in order to improve the security of positioning.According to the node's physical information, the attack node is detected.Through simulation experiments, compared with the traditional indoor security positioning method, the proposed algorithm can significantly reduce the intervention of witch attack, wormhole attack and replication attack on positioning error.While achieving the goal of combating attacks, it reduces the computational complexity, decreases node energy consumption, and extends the network life cycle.
{"title":"Exploration of Wireless Sensor Network Based on RSSI Positioning Algorithm","authors":"Shuang Liu","doi":"10.3991/IJOE.V14I11.9519","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9519","url":null,"abstract":"<p class=\"0abstract\"><span lang=\"EN-US\">Based on the security of the receiving signal strength indicator positioning algorithm, the RSSI positioning algorithm in the environment of witch attack, wormhole attack and replication attack has largely failed</span><span lang=\"EN-US\">.</span><span lang=\"EN-US\">Although existing security </span><span lang=\"EN-US\">positioning</span><span lang=\"EN-US\"> algorithms can effectively prevent attacks from occurring, the massive consumption of network resources can’t be ignored.</span><span lang=\"EN-US\">Therefore, a tolerable security positioning method is proposed for each of the three attacks in order to improve the security of positioning.</span><span lang=\"EN-US\">According to the node's physical information, the attack node is detected.</span><span lang=\"EN-US\">Through simulation experiments, compared with the traditional indoor security </span><span lang=\"EN-US\">positioning</span><span lang=\"EN-US\"> method, the proposed algorithm can significantly reduce the intervention of witch attack, wormhole attack and replication attack on positioning error.</span><span lang=\"EN-US\">While achieving the goal of combating attacks, it reduces the computational complexity, decreases node energy consumption, and extends the network life cycle.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725891","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9501
Qing Wan, Ying Wang
To realize the exploration of wireless sensor network (WSN) based on cloud computing, the application service of WSN is taken as the starting point, the resource advantage of the cloud platform is used, and a WSN service framework based on cloud environment is proposed. Based on this framework, the problems of data management and reconstruction, network coverage optimization and monitoring, and edge recognition of holes are solved. In view of the node deployment of WSN and coverage problem of operation and maintenance optimization, the genetic algorithm is used to adjust the dormancy and energy state of nodes, and a parallel genetic algorithm for covering optimization in the cloud environment is proposed. For the operation and maintenance requirements of WSN, a parallel data statistics method for network monitoring is proposed. The experimental results show that the parallel algorithm is greatly improved in terms of the accuracy and time efficiency.
{"title":"Exploration of Wireless Sensor Network Based on Cloud Computing","authors":"Qing Wan, Ying Wang","doi":"10.3991/IJOE.V14I11.9501","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9501","url":null,"abstract":"To realize the exploration of wireless sensor network (WSN) based on cloud computing, the application service of WSN is taken as the starting point, the resource advantage of the cloud platform is used, and a WSN service framework based on cloud environment is proposed. Based on this framework, the problems of data management and reconstruction, network coverage optimization and monitoring, and edge recognition of holes are solved. In view of the node deployment of WSN and coverage problem of operation and maintenance optimization, the genetic algorithm is used to adjust the dormancy and energy state of nodes, and a parallel genetic algorithm for covering optimization in the cloud environment is proposed. For the operation and maintenance requirements of WSN, a parallel data statistics method for network monitoring is proposed. The experimental results show that the parallel algorithm is greatly improved in terms of the accuracy and time efficiency.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114796881","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9515
Xieji Gang
To realize the exploration of A routing algorithm for ZigBee technology, a kind of intelligent parking system based on ZigBee wireless sensor network is designed, and the parking space is managed by online and offline interaction. First of all, the status of parking at home and abroad is studied, and the demand for parking is analyzed. Secondly, the intelligent scheme of parking system is studied, including parking guidance technology and parking space intelligent recommendation technology. The former is based on the A routing algorithm to search the shortest path, and uses Unity for route planning simulation, and the latter is based on collaboration filtering algorithm to discuss the recommendation method of similar parking spaces. The result shows that the prototype of an intelligent parking system based on ZigBee is eventually realized, and the functions of online viewing, online parking reservation, online path planning and parking guidance are realized. As a result, the purpose of managing offline parking spaces through online is achieved, the utilization rate of resources in the existing parking lot is improved and the use rate of parking space is promoted. At last, it effectively alleviates the urban parking chaos and has certain application value.
{"title":"A Routing Algorithm Based on Zigbee Technology","authors":"Xieji Gang","doi":"10.3991/IJOE.V14I11.9515","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9515","url":null,"abstract":"To realize the exploration of A routing algorithm for ZigBee technology, a kind of intelligent parking system based on ZigBee wireless sensor network is designed, and the parking space is managed by online and offline interaction. First of all, the status of parking at home and abroad is studied, and the demand for parking is analyzed. Secondly, the intelligent scheme of parking system is studied, including parking guidance technology and parking space intelligent recommendation technology. The former is based on the A routing algorithm to search the shortest path, and uses Unity for route planning simulation, and the latter is based on collaboration filtering algorithm to discuss the recommendation method of similar parking spaces. The result shows that the prototype of an intelligent parking system based on ZigBee is eventually realized, and the functions of online viewing, online parking reservation, online path planning and parking guidance are realized. As a result, the purpose of managing offline parking spaces through online is achieved, the utilization rate of resources in the existing parking lot is improved and the use rate of parking space is promoted. At last, it effectively alleviates the urban parking chaos and has certain application value.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478400","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}
Pub Date : 2018-11-10DOI: 10.3991/ijoe.v14i11.9516
Luzhou Cao
To prolong the network life and improve the network performance, a new clustering routing protocol which uses dynamic network to divide and consider the residual energy of sensor nodes is proposed. The design and simulation of the clustering scheme for mobile wireless sensor networks are also studied. The results show that the protocol controls the number of cluster heads by region division of the network and balances its distribution in wireless sensor networks according to the latest location of the sink node. At the same time, the residual energy of nodes is considered to balance the energy consumption of the network when the cluster head is elected. The protocol effectively solves the problem of uneven distribution of cluster heads in time and space and energy consumption of each node in the LEACH protocol. Compared with the LEACH protocol, M-LEACH effectively prolongs the network life. From this, it is seen that the application of M-LEACH protocol in mobile wireless sensor network clustering routing is effective.
{"title":"Clustering Routing Protocol for Mobile Wireless Sensor Networks Based on Dynamic Network Partition","authors":"Luzhou Cao","doi":"10.3991/ijoe.v14i11.9516","DOIUrl":"https://doi.org/10.3991/ijoe.v14i11.9516","url":null,"abstract":"To prolong the network life and improve the network performance, a new clustering routing protocol which uses dynamic network to divide and consider the residual energy of sensor nodes is proposed. The design and simulation of the clustering scheme for mobile wireless sensor networks are also studied. The results show that the protocol controls the number of cluster heads by region division of the network and balances its distribution in wireless sensor networks according to the latest location of the sink node. At the same time, the residual energy of nodes is considered to balance the energy consumption of the network when the cluster head is elected. The protocol effectively solves the problem of uneven distribution of cluster heads in time and space and energy consumption of each node in the LEACH protocol. Compared with the LEACH protocol, M-LEACH effectively prolongs the network life. From this, it is seen that the application of M-LEACH protocol in mobile wireless sensor network clustering routing is effective.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137561","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9514
Bo Sun, Jingwei Li, Guanci Yang
To realize the design of multi-robot cooperative control based on wireless sensor networks, a large number of local control research experiments are carried out on a specific model of mobile robots. Combined with the kinematic model of mobile robot, the motion characteristics of this kind of mobile robot are grasped. On the basis of realizing the multi-target tracking and positioning of wireless sensor network, a multi mobile robot cooperative control system based on the feedback of wireless sensor network is developed, and the synchronous motion between the master and the robot is maintained through the feedback control of the network. Finally, a cooperative trajectory tracking control algorithm for mobile robot is introduced, and the principle of the controller design is mastered. A multi mobile robot cooperative trajectory tracking LQG controller is designed for mobile robot in wireless sensor network. The simulation results show that the algorithm can reach the cooperative control target.
{"title":"Multi-robot Cooperation Strategy Based on Wireless Sensor Network","authors":"Bo Sun, Jingwei Li, Guanci Yang","doi":"10.3991/IJOE.V14I11.9514","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9514","url":null,"abstract":"To realize the design of multi-robot cooperative control based on wireless sensor networks, a large number of local control research experiments are carried out on a specific model of mobile robots. Combined with the kinematic model of mobile robot, the motion characteristics of this kind of mobile robot are grasped. On the basis of realizing the multi-target tracking and positioning of wireless sensor network, a multi mobile robot cooperative control system based on the feedback of wireless sensor network is developed, and the synchronous motion between the master and the robot is maintained through the feedback control of the network. Finally, a cooperative trajectory tracking control algorithm for mobile robot is introduced, and the principle of the controller design is mastered. A multi mobile robot cooperative trajectory tracking LQG controller is designed for mobile robot in wireless sensor network. The simulation results show that the algorithm can reach the cooperative control target.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123535344","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}
Pub Date : 2018-11-10DOI: 10.3991/IJOE.V14I11.9544
Shaobo Li, Chenglong Zhang, Jinglei Qu
The production process of modern manufacturing industry is complex and changeable, manufacturing resources have extensive dynamic characteristics. For effectively managing and controlling manufacturing resources, realizing real-time location data collection of intelligent workshop, a manufacturing resource location sensing architecture based on the wireless sensor network is proposed. For en-suring real-time accuracy of manufacturing resource location data in the intelligent workshop, a three-dimensional adaptive fruit fly optimization algorithm is de-signed to estimate the location coordinates, the new algorithm introduced the adaptive inertial weight coefficient, retained the advantage of strong local search ability of fruit fly optimization algorithm, improved the ability of global optimiza-tion, effectively solved the problem of three-dimensional location in intelligent workshop. The simulation results show that, the algorithm in this paper is applied to the location calculation of triangulation, which has smaller location error and shorter operation time, it improves the accuracy of the location data and meets the real-time location requirements of manufacturing resources such as intelligent workshop staff, materials, logistics vehicles etc. facilitate resource sensing and scheduling management, thereby improving management standards and product quality.
{"title":"Location Optimization of Wireless Sensor Network in Intelligent Workshop Based on the Three-Dimensional Adaptive Fruit Fly Optimization Algorithm","authors":"Shaobo Li, Chenglong Zhang, Jinglei Qu","doi":"10.3991/IJOE.V14I11.9544","DOIUrl":"https://doi.org/10.3991/IJOE.V14I11.9544","url":null,"abstract":"The production process of modern manufacturing industry is complex and changeable, manufacturing resources have extensive dynamic characteristics. For effectively managing and controlling manufacturing resources, realizing real-time location data collection of intelligent workshop, a manufacturing resource location sensing architecture based on the wireless sensor network is proposed. For en-suring real-time accuracy of manufacturing resource location data in the intelligent workshop, a three-dimensional adaptive fruit fly optimization algorithm is de-signed to estimate the location coordinates, the new algorithm introduced the adaptive inertial weight coefficient, retained the advantage of strong local search ability of fruit fly optimization algorithm, improved the ability of global optimiza-tion, effectively solved the problem of three-dimensional location in intelligent workshop. The simulation results show that, the algorithm in this paper is applied to the location calculation of triangulation, which has smaller location error and shorter operation time, it improves the accuracy of the location data and meets the real-time location requirements of manufacturing resources such as intelligent workshop staff, materials, logistics vehicles etc. facilitate resource sensing and scheduling management, thereby improving management standards and product quality.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116054622","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}
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