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2021 International Conference on Machine Learning and intelligent Systems Engineering, MLISE 2021

作者： Li, Yongrui Ning, Hongyun Tianjin Key Laboratory of Intelligence Computing New Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665417365

In order to solve the problem of over-dependence on word frequency in traditional TF-IDF algorithm, a multi-feature keyword extraction method combined with grammar analysis is proposed. By integrating the features of grammatical information, part of speech and word position, the method constructs a grading and weighting process for candidate keywords that takes into account various influencing factors comprehensively, and makes use of the grammatical information in the sentence to perform keyword sorting optimization operation to form the formally extracted keywords. The experimental results show that the proposed method is better than the traditional method, and can improve the problem of over-dependence on word frequency and extract satisfactory keywords. © 2021 IEEE.

关键词： Extraction

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The improvement of wireless LAN security authentication mechanism based on Kerberos

The improvement of wireless LAN security authentication mech...

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2018 International Conference on Electronics technology, ICET 2018

作者： Ma, Yi Ning, Hongyun Tianjin Key Laboratory of Intelligence Computing and New Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781538657522

In order to solve the problem of vulnerable password guessing attacks caused by dictionary attacks, replay attacks in the authentication process, and man-in-The-middle attacks in the existing wireless local area network in terms of security authentication, we make some improvements to the 802.1X / EAP authentication protocol based on the study of the current IEEE802.11i security protocol with high security. After introducing the idea of Kerberos protocol authentication and applying the idea in the authentication process of 802.1X / EAP, a new protocol of Kerberos extensible authentication protocol (KEAP) is proposed. Firstly, the protocol introduces an asymmetric key encryption method, uses public key encryption during data transmission, and the receiver uses the corresponding private key for decryption. With unidirectional characteristics and high security, the encryption can avoid password guessing attacks caused by dictionary attacks as much as possible. Secondly, aiming at the problem that the request message sent from the client to the authentication server is vulnerable to replay attacks, the protocol uses a combination of the message sequence number and the random number, and the message serial number is added to the request message sent from the client to the authentication server. And establish a list database for storing message serial number and random number in the authentication server. After receiving a transfer message, the serial number and the random number are extracted and compared with the values in the list database to distinguish whether it is a retransmission message. Finally, the protocol introduces a keychain mechanism and uses an irreversible Hash function to encrypt the final authentication result, thereby effectively solving the man-in-The-middle attack by the pretender. The experiment uses the OPNET 14.5 simulation platform to model the KEAP protocol and simulate simulation attacks, and compares it with the current more common EAP-TLS au

关键词： Authentication

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Research on green vehicle scheduling problem of free picking up and delivering customers for airlines ticketing company 28

Research on green vehicle scheduling problem of free picking...

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28th Chinese Control and Decision Conference, CCDC 2016

作者： Gang, Hao Meiling, Feng Hainan, Zhao Junqing, Sun Tianjin Key Laboratory of Intelligent Computing and Novel Software Technique Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781467397148

In this paper, the vehicle scheduling and routing problem of airline ticketing companies which provide free services of picking customers up and delivering them to airports is studied. Taking the time window constraints, customer satisfaction and time-dependent factors into consideration, this paper presents the mathematical model which take minimizing vehicle use cost and carbon emission as its objectives. According to the characteristics of the problem, a hybrid algorithm, which combines heuristic and tabu search algorithms, is designed to solve the model. Then, a simulated numerical case is employed to verify the validity of the mathematical model and the hybrid algorithm. The simulating experiments about the numerical case show that by the model and the hybrid algorithm a vehicle scheduling and routing plan can be found with significant reduction in carbon emission and without clear increase of the total vehicle operational cost compared to the plan by the traditional approach. This shows that the vehicle scheduling and routing plan found by the approach proposed in this paper is more environmentally friendly and does not significantly increase total vehicle operational cost of the company. © 2016 IEEE.

关键词： Airport Pickup Service Customer Satisfaction Green Routes Tabu Search Algorithm Vehicle Routing Problem

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Research on context-aware computing with uncertainty for proactive service

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International Journal of Modelling, Identification and Control 2009年第3期8卷 248-255页

作者： Zhang, De-Gan Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin 300191 China Key Lab of Industrial Controlling Technology Zhejiang University Hangzhou 310027 China

It is known to all that context-aware computing with uncertainty is an important part of pervasive computing for proactive service. Because multi-source evidence context-aware information with uncertainty is dynamic and changing randomly, in order to ensure the QoS of different application fields based on pervasive computing, we modified the fusion method of evidence information after considering context's reliability, time efficiency and relativity, which has improved the classic fusion rule of D-S evidence theory when used in the pervasive computing paradigm. After extending the process, we overcome the shortcoming of classic D-S evidence theory. All these suggested technologies have been successfully used in our project. The efficiency of our researches has been tested by application practice and validation of the demo. Copyright © 2009, Inderscience Publishers.

关键词： Ubiquitous computing

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Research on Green Vehicle Scheduling Problem of Free Picking up and Delivering Customers for Airlines Ticketing Company

Research on Green Vehicle Scheduling Problem of Free Picking...

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第28届中国控制与决策会议

作者： Hao Gang Feng Meiling Zhao Hainan Sun Junqing Tianjin Key Laboratory of Intelligent Computing and Novel Software Technique Tianjin University of Technology

ISBN: (纸本)9781467397155

In this paper,the vehicle scheduling and routing problem of airline ticketing companies which provide free services of picking customers up and delivering them to airports is *** the time window constraints,customer satisfaction and time-dependent factors into consideration,this paper presents the mathematical model which take minimizing vehicle use cost and carbon emission as its *** to the characteristics of the problem,a hybrid algorithm,which combines heuristic and tabu search algorithms,is designed to solve the ***,a simulated numerical case is employed to verify the validity of the mathematical model and the hybrid *** simulating experiments about the numerical case show that by the model and the hybrid algorithm a vehicle scheduling and routing plan can be found with significant reduction in carbon emission and without clear increase of the total vehicle operational cost compared to the plan by the traditional *** shows that the vehicle scheduling and routing plan found by the approach proposed in this paper is more environmentally friendly and does not significantly increase total vehicle operational cost of the company.

关键词： Vehicle Routing Problem Airport Pickup Service Green Routes Tabu Search Algorithm Customer Satisfaction

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Research and Construction of Word Vector Extension Structure Based on Context

Research and Construction of Word Vector Extension Structure...

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Wang, Yiying Ning, Hongyun Tianjin Key Laboratory of Intelligence Computing and New Software Technology Tianjin University of Technology Tianjin300384 China

The CBOW (Continuous Bag-of-Words) model is a three-layer forward neural network that predicts the central word vector by the fixed-size window information. In fact, context has a very important role in understanding the meaning of words. However, the context information of the fixed window size is partial and it is not enough to represent the whole context. Due to the polysemy of Chinese words, the same word may have different semantics in different contexts, while the traditional CBOW method ignores the polysemy of words. Therefore, this paper proposes a context-based word vector extension structure for the above problems. The main contents are as follows: (1) Introducing the concept of context vector. The entire sentence in which the target word is located is represented by a vector. (2) Constructing the polysemy storage method of words, adding a contextual list to each word vector, so that the multiple semantics of the words can be effectively distinguished. (3) Based on the word vector extension structure of this paper, a new character vector generation model is proposed, and the effect of the new model and the traditional CBOW model in the news headline similarity sorting task is compared. The experimental results show that the new character vector generation model based on the extension structure of the word vector obtains better result. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Semantics

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Redundant data composition of peers in p2p streaming systems using cauchy reed-solomon codes

Redundant data composition of peers in p2p streaming systems...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Xu, Guangping Wang, Fayu Zhang, Hua Li, Jingxing Key Lab of Intelligent Computing and New Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

Erasure codes are used in many distributed applications. This paper applies Cauchy Reed-Solomon codes to P2P streaming systems which is different from classical Reed-Solomon codes. Due to churn in these systems, streaming data composition is vital for system management. We mainly concern about how to apply the coding into these systems and present the interaction among the peers and effective buffer management. This distributed sources increase the selection on disseminated encoded data and therefore statistically enhances the overall performance. © 2009 IEEE.

关键词： Reed-Solomon codes

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An improved RED congestion algorithm based on partition of network segment

An improved RED congestion algorithm based on partition of n...

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5th International Conference on Natural Computation, ICNC 2009

作者： CtandongWang Li, Ting Wang, Huaibin Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537368

Aiming at the growing problem of network congestion, an improved random early detection algorithm is proposed for the internal network and applied on a TCP congestion control algorithm based on partition of network segment. By using known network information and network topology information, the method is more effective, and better results are achieved. © 2009 IEEE.

关键词： Network topology

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Genetic algorithm based on sugeno integral

Genetic algorithm based on sugeno integral

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Wu, Zhilong Song, Jinjie Zhang, Caipo Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

For the actual need of future research and application, this paper proposes a new method that is a new fuzzy control system of fuzzy integral-genetic algorithm (FIGA). By fuzzy integral, it can study comprehensive evaluation of population diversity and individual quantity on three attributes: individual difference extent, the difference extent of individual's fitness and the difference extent of population lifetime, thereby dynamically adjust the rate of crossover (Pc) and mutation rate (Pm) in genetic algorithm. It improves the controller of fuzzy control for parameters Pc and Pm of genetic algorithm. The results of experiment show that the proposed genetic algorithm, combining fuzzy measure and fuzzy integral, performances better than simple genetic algorithm (SGA). © 2009 IEEE.

关键词： Genetic algorithms

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Fuzzy integral be applied to the diagnosis of gestational diabetes mellitus

Fuzzy integral be applied to the diagnosis of gestational di...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Caipo Song, Jinjie Wu, Zhilong Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper will use fuzzy integral to structure the diagnostic model of gestational diabetes mellitus. The Sugeno measure is obtained by training of BP neural network. The BP neural network is easy to get into local optimum, so the algorithm of simulated annealing is used to optimize the BP neural network, and it will obtain an approximate global optimal solution. In this diagnostic model, there are two key factors. One is the degree of fit that the degrees of evidential support for attribute that diagnostic object is gestational diabetes mellitus. The other is the importance of attribute itself. The instances of diabetes illuminate that the method is effective. © 2009 IEEE.

关键词： Simulated annealing

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