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检索条件"主题词=Dijkstra algorithm"

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RESEARCH ON THE PERFORMENCE OF DYNAMIC ROUTING algorithm

RESEARCH ON THE PERFORMENCE OF DYNAMIC ROUTING ALGORITHM

引用

International Conference on Machine Learning and Cybernetics

作者： Yang, Ming-Xin Wang, Bing-Tong Guo, Wen-Dong Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang 050018 Hebei Peoples R China Shijiazhuang Posts & Telecommun Tech Coll Shijiazhuang Hebei 050021 Peoples R China

ISBN: (纸本)9781424447053

On the basis of analyzing static routing algorithm and dynamic routing algorithms, this paper focus on the link state routing of the dynamic routing algorithm, puts forward a more concise routing way in the link state routing. dijkstra routing algorithm is suitable for calculating the shortest path from one router to other routers, but there are more point-to-point links in the computer network, Floyd routing algorithm is more suitable for calculating the shortest distance between two router, and it is more practical in the computer network.

关键词： Routing algorithm dijkstra algorithm Flody algorithm

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Research on path planning of quadruped robot based on globally mapping localization 3

Research on path planning of quadruped robot based on global...

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3rd International Conference on Unmanned Systems (ICUS)

作者： Liu, Yufei Jiang, Lei Zou, Fengqian Xing, Boyang Wang, Zhirui Su, Bo China North Vehicle Res Inst Unmanned Ctr Beijing Peoples R China Harbin Inst Technol MEMS Ctr Harbin Peoples R China

ISBN: (纸本)9781728180250

Perception and navigation control is core key technology for the legged robot to adapt to complex terrain and achieve autonomous walking. It is the key to distinguish the legged robot from manned equipment and become a ground unmanned system. In this paper, the SLAM globally localization system based on the lidar point cloud is established, and a localization framework based on the combination of topological measurements is proposed to realize the map reconstruction and localization of the wild environment. Path planning based on dijkstra algorithm is proposed to implement the globally terrain autonomous navigation task of the quadruped robot, and autonomous obstacle avoidance strategy of the local map for quadruped robot based on the artificial potential field theory is applied considering the motion and vibration of legged robot. The experimental results show that the globally path navigation can accurately plan the optimal path and complete the autonomous obstacle avoidance of the local map. The results have demonstrated the effectiveness of the proposed method and realize the globally field autonomous walking of the quadruped robot.

关键词： path planning localization quadruped robot dijkstra algorithm autonomous walking

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Route Choice Options Based on Lattice Alliance Certification in Wireless Networks

Route Choice Options Based on Lattice Alliance Certification...

引用

International Conference on Advanced Materials and Computer Science

作者： Zhang Qiu-yu Jiang Wen-tao Bao Guang-bin Lanzhou Univ Technol Sch Comp & Commun Lanzhou 730050 Gansu Peoples R China

ISBN: (纸本)9783037850978

For the existing certification that ignores trust relationship between inter-domains will lead to the certification failure phenomenon, in the consideration of trust relationship circumstances this paper presents an alliance certification scheme based on the lattice combining dijkstra path search algorithm between the domains. Theoretical analysis shows that dual-traction certification mechanism greatly increases system security, also avoids the single point collapse. According to calculating the path weight by dijkstra algorithm to find the shortest path in the weighted graph, the scheme can improve the certification efficiency.

关键词： cross-domain certification lattice binary tree certification path dijkstra algorithm

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The role of the high voltage power level in future power systems and their modelling

The role of the high voltage power level in future power sys...

引用

International Conference on Smart Energy Systems and Technologies (SEST)

作者： Mueller, Ulf Philipp Wienholt, Lukas Cussmann, Ilka Flensburg Univ Appl Sci Ctr Sustainable Energy Syst Flensburg Germany Europa Univ Flensburg Ctr Sustainable Energy Syst Flensburg Germany

ISBN: (纸本)9781538653265

The electricity system in Germany is increasingly dominated by renewable decentralised power plants. This contribution focuses on the role of the high voltage level in Germany's current and future electricity system. Two approaches have been developed in order to compare the consideration of the high voltage (110 kV) level to the disregard of it. This disregard was accomplished by applying a dijkstra algorithm to the high voltage level allocating the decentralised power plants to the nearest extra high voltage buses. In general a k-means network clustering algorithm was applied to reduce computational effort while still allowing the consideration of the grid topology and its restrictions in an abstract way. The comparison of the two alternative modelling approaches showed that with increasing shares of renewable energy connected to the distribution grid, the relevance of the high voltage level rises. Neglecting this voltage level led to an overestimation of the economic system efficiency by 5 to 7 %. The consideration of the high voltage level introduced additional grid restrictions, which exceeded the effect of increased transmission capacities (enabling transit flows). Consequently an economically less optimal power dispatch was discovered, which is characterised by higher shares of conventional generation. When storage expansion was optimised, it became evident that the application of high voltage grid restrictions led to lower storage investments.

关键词： power system modelling high voltage level 110 kV grid restrictions dispatch optimisation storage expansion linear optimal power flow open source open data k-means network clustering dijkstra algorithm

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Optimal Path Problem with Possibilistic Weights 11

Optimal Path Problem with Possibilistic Weights

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11th Symposium on Geoinformatics for Intelligent Transportation (GIS)

作者： Caha, Jan Dvorsky, Jiri Palacky Univ Fac Sci Dept Geoinformat Olomouc 77146 Czech Republic

ISBN: (纸本)9783319114637;9783319114620

The selection of optimal path is one of the classic problems in graph theory. Its utilization have various practical uses ranging from the transportation, civil engineering and other applications. Rarely those applications take into account the uncertainty of the weights of the graph. However this uncertainty can have high impact on the results. Several studies offer solution by implementing the fuzzy arithmetic for calculation of the optimal path but even in those cases neither of those studies proposed complete solution to the problem of ranking of the fuzzy numbers. In the study the ranking system based on the Theory of Possibility is used. The biggest advantage of this approach is that it very well addresses the indistinguishability of fuzzy numbers. Lengths of the paths are compared based on the possibility and the necessity of being smaller than the alternative. The algorithm offers the user more information than only the optimal path, instead the list of possible solutions is calculated and the alternatives can be ranked using the possibility and the necessity to identify the possibly best variant.

关键词： Fuzzy numbers dijkstra algorithm Optimal path Uncertainty

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Automatic Acquisition of the Four-chamber View of Heart from Dual Source CT Data

Automatic Acquisition of the Four-chamber View of Heart from...

引用

SREE Workshop on Medical Materials and Engineering (WMME 2011)

作者： Du, Aan Song, Wei Yang, Xin Xue, Haihong Sun, Kun Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai 200030 Peoples R China Shanghai Jiao Tong Univ xinhua Hosp Sch Med Shanghai 200030 Peoples R China

ISBN: (纸本)9783037852699

The four-chamber view of heart plays an important role in clinical diagnosis of cardiac disease. According to the geometric structure of heart, we propose a method to automatic acquisition of the four-chamber view in volume data. First, the contrast-medium enhanced part of dual source CT data is segmented and morphological operations are applied. Second, the dijkstra algorithm considering 3D Euler Distance as weighting factor is introduced to extract the center line of atrium and ventricle. Finally, the four-chamber view of heart is estimated based on the 3D Euclidean Distance and the geometric characteristics of the center line. In this paper, 40 patients (age from 49 to 81) are examined, and the recognition rate is 91.25%.

关键词： four-chamber view of heart 3D Euler Distance geometric structure dijkstra algorithm

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Emergency Command System for Urban Road Lighting Fault Diagnosis and Maintenance 10

Emergency Command System for Urban Road Lighting Fault Diagn...

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10th IEEE International Conference on Electronics Information and Emergency Communication (IEEE ICEIEC)

作者： Liang, Chen Liu, Lei Xie, Li Shen, Xulan Zhejiang Univ Dept Instrument Sci & Engn Hangzhou 310027 Peoples R China Ningbo Univ Coll Sci & Technol Ningbo 31530 Peoples R China Hakyo Informat Ind Co Ltd Hakim Unique Grp Hangzhou 310002 Peoples R China

ISBN: (纸本)9781728163130;9781728163123

Emergency command for urban road lighting fault diagnosis and maintenance is an integral part of the field of smart city. The main contributions of this research are to design an emergency command system that can accurately detect the road lamp failure and plan the optimal path for the maintenance engineer to the fault road lamp node. Firstly, the fault diagnosis model is established for road lamp based on Rough Set theory. Then, the optimal path is planned from maintenance station to failure lamp location by the dijkstra algorithm. Finally, the software of fault detection and emergency command system is developed for urban road lighting. The experimental results show the effectiveness and feasibility of the proposed system.

关键词： fault detection emergency command rough set optimal path dijkstra algorithm

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Dynamic Route Planning Framework For Minimal Air Pollution Exposure In Urban Road Transportation Systems 4

Dynamic Route Planning Framework For Minimal Air Pollution E...

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4th IEEE World Forum on Internet of Things (WF-IoT)

作者： Vamshi, B. Prasad, Raja Vara Indian Inst Informat Technol SriC Chittoor Dept Elect & Commun Engn Sri City 517541 Andhra Pradesh India

ISBN: (纸本)9781467399449

Personal human exposure to air pollution in urban areas and route planning to minimize it is a subject that has attracted much research interest in the last decades. Increase in vehicle density and greedy route planning algorithms considering only shortest distance might result in dense traffic junctions in an urban scenario. Increasing exposure of air pollution at these congested traffic junctions to the commuters is an essential factor of consideration for developing next-generation routing algorithms. In this paper, a dynamic route planning algorithm for an urban scenario is proposed to distribute the traffic density in real time to other low dense traffic junctions. The proposed framework tries to minimize the number of congested traffic junctions by uniformly distributing the real time traffic using diversion suggestions and thereby reducing dense air pollution at traffic junctions. Proposed integrated suggestion framework rely on Internet of Things (IoT) architecture for the real time data information and geographical datasets to reduce the amount of air pollution and time of exposure to the commuters passing through that junctions. The cost function based approach is proposed with pollution levels, junction connectivity and road type as the key parameters without neglecting the possible shortest distance metric. This framework provides alternate routes as suggestions with a trade-off of additional distance but less pollution to the commuters thereby minimizing the overall cost function of time, distance and pollution.

关键词： Intelligent Transportation System Internet of Things (IoT) Air pollution exposure QGIS dijkstra algorithm

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LAN Network Optimization after a DDoS Attack Detected with Supervised Learning 2

LAN Network Optimization after a DDoS Attack Detected with S...

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IEEE 2nd International Conference on Computer Communication and Artificial Intelligence (CCAI)

作者： Vallejo-Huanga, Diego Vizcaino, Santiago Univ Politecn Salesiana IDEIAGEOCA Res Grp Quito Ecuador Univ Politecn Salesiana Dept Comp Sci Quito Ecuador

ISBN: (纸本)9781665496636

The Distributed Denial of Service (DDoS) attack is one of the most dangerous cyberattacks on the Internet, so can affect any server on any type of network, causing connectivity problems and even total loss of services. Machine learning can solve computational security problems and is frequently used to defend against cyber attacks. This article proposes the construction of a network topology where several DDoS attacks were applied, which will be detected by three Machine Learning classification algorithms. A dataset was generated from the collection of packets circulating in the network with samples of normal traffic and malicious packets, on which the experimental tests were carried out. In the classification task, the best performing supervised learning algorithm was Random Forest, with an accuracy of 100%. Finally, upon detecting a DDoS attack on the network, dijkstra's optimization algorithm is applied to find an alternative route to mitigate network oversaturation. Two scenarios were proposed, the first analyzes the optimal route in an attacked network and the second without attacks. The results show a reconfiguration in the network to avoid routes where DDoS attack detection was applied.

关键词： cybersecurity malicious traffic detection machine learning random forest support vector machine logistic regression dijkstra algorithm

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Implementation of Smart Parking Guidance System based on Parking Lots Sensors Networks 16

Implementation of Smart Parking Guidance System based on Par...

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IEEE 16th International Conference on Communication Technology (ICCT)

作者： Cai, Wenyu Zhang, Dong Pan, Yongjie Hangzhou Dianzi Univ Elect Informat Coll Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9781467370059

This paper designs a parking guidance system based on parking sensor network. The system consists of parking lot sensors and sink node and parking manager. The system builds the parking sensor network by ZigBee communication protocol, where the real-time parking information of all parking sensors is transmitted to the sink node. The sink node sends information of all parking lots to the parking manager by manner. In the parking manager, there will display the information and position of the parking spaces. Moreover, this paper uses dijkstra optimization algorithm to obtain the optimal parking router.

关键词： Smart Parking guidance Sensor network dijkstra algorithm Parking Router

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