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  • Open Access

    ARTICLE

    Extracting Campus’ Road Network from Walking GPS Trajectories

    Yizhi Liu, Rutian Qing, Jianxun Liu*, Zhuhua Liao, Yijiang Zhao, Hong Ouyang

    Journal of Cyber Security, Vol.2, No.3, pp. 131-140, 2020, DOI:10.32604/jcs.2020.010625

    Abstract Road network extraction is vital to both vehicle navigation and road planning. Existing approaches focus on mining urban trunk roads from GPS trajectories of floating cars. However, path extraction, which plays an important role in earthquake relief and village tour, is always ignored. Addressing this issue, we propose a novel approach of extracting campus’ road network from walking GPS trajectories. It consists of data preprocessing and road centerline generation. The patrolling GPS trajectories, collected at Hunan University of Science and Technology, were used as the experimental data. The experimental evaluation results show that our approach More >

  • Open Access

    SHORT COMMUNICATION

    The Psychological Hotline Services Quality Survey during the Pandemic of COVID-19 in Mainland China

    Xiubin Lin1,3, Joshua Swift2, Yin Cheng1,3, Qin An4, Hong Liang5, Yangsheng Wang3, Xiaoming Jia4,*

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 109-113, 2020, DOI:10.32604/IJMHP.2020.011128

    Abstract The outbreak of the COVID-19 pandemic has provoked a significant amount of panic due to dramatic changes in daily routines for residents all over China. In response, more than 600 psychological hotlines have been built or modified and have supplied mental health services for the public. Regarding the service quality of the hotlines, a survey has been conducted to investigate the running of hotline services during the COVID-19 pandemic. The results reveal that the more successful hotlines all had better trained hotline counselors, and in the meanwhile, the key features of providing supervision arrangements and More >

  • Open Access

    ARTICLE

    Research on Intelligent Technology Management and Service Platform

    Ning Chen1, Hui Li2, Xinxin Fan3, 4, Weiliang Kong1, Yonghong Xie3, 4, *

    Journal on Artificial Intelligence, Vol.2, No.3, pp. 149-155, 2020, DOI:10.32604/jai.2020.09888

    Abstract In recent years, there are some problems in science and technology management, such as untimely task supervision and independent information system, which makes it difficult to achieve accurate, quantitative and standardized management. The storage of scientific research test data is scattered, and there are many deficiencies in the management, promotion and use of existing intellectual property. In this paper, on the basis of the knowledge economy, intelligence economy under the conditions of knowledge management concept and cutting-edge technology, technology management and service management related data, information, knowledge, method of blend together. Based on science and More >

  • Open Access

    ARTICLE

    An Entropy-Based Model for Recommendation of Taxis’ Cruising Route

    Yizhi Liu1, 2, Xuesong Wang1, 2, Jianxun Liu1, 2, *, Zhuhua Liao1, 2, Yijiang Zhao1, 2, Jianjun Wang1, 2

    Journal on Artificial Intelligence, Vol.2, No.3, pp. 137-148, 2020, DOI:10.32604/jai.2020.010620

    Abstract Cruising route recommendation based on trajectory mining can improve taxidrivers' income and reduce energy consumption. However, existing methods mostly recommend pick-up points for taxis only. Moreover, their performance is not good enough since there lacks a good evaluation model for the pick-up points. Therefore, we propose an entropy-based model for recommendation of taxis' cruising route. Firstly, we select more positional attributes from historical pick-up points in order to obtain accurate spatial-temporal features. Secondly, the information entropy of spatial-temporal features is integrated in the evaluation model. Then it is applied for getting the next pick-up points More >

  • Open Access

    ARTICLE

    Energy Services: A Proposed Framework to Improve Results

    Tatiana Eutukhova1, Oleksandr Kovalko2, Oleksandr Novoseltsev3,*, Eric Woodroof4

    Energy Engineering, Vol.117, No.3, pp. 99-110, 2020, DOI:10.32604/EE.2020.010864

    Abstract Energy services markets are actively developing around the world, but their growth rates need to be accelerated in order to help the world meet energy policy goals. One barrier to energy services markets is confusion created from different terminology used in different parts of the world. In this context, various definitions of the term “energy services” have been analyzed in this paper and it has been recommended to distinguish between “energy services” and “energy-related services”. The structural and functional features of the energy services market conceptual design and its implementation models, as well as the More >

  • Open Access

    ARTICLE

    Performance Anomaly Detection in Web Services: An RNN- Based Approach Using Dynamic Quality of Service Features

    Muhammad Hasnain1, Seung Ryul Jeong2, *, Muhammad Fermi Pasha3, Imran Ghani4

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 729-752, 2020, DOI:10.32604/cmc.2020.010394

    Abstract Performance anomaly detection is the process of identifying occurrences that do not conform to expected behavior or correlate with other incidents or events in time series data. Anomaly detection has been applied to areas such as fraud detection, intrusion detection systems, and network systems. In this paper, we propose an anomaly detection framework that uses dynamic features of quality of service that are collected in a simulated setup. Three variants of recurrent neural networks-SimpleRNN, long short term memory, and gated recurrent unit are evaluated. The results reveal that the proposed method effectively detects anomalies in More >

  • Open Access

    ARTICLE

    Prediction of Web Services Reliability Based on Decision Tree Classification Method

    Zhichun Jia1, 2, Qiuyang Han1, Yanyan Li1, Yuqiang Yang1, Xing Xing1, 2, *

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1221-1235, 2020, DOI:10.32604/cmc.2020.09722

    Abstract With the development of the service-oriented computing (SOC), web service has an important and popular solution for the design of the application system to various enterprises. Nowadays, the numerous web services are provided by the service providers on the network, it becomes difficult for users to select the best reliable one from a large number of services with the same function. So it is necessary to design feasible selection strategies to provide users with the reliable services. Most existing methods attempt to select services according to accurate predictions for the quality of service (QoS) values.… More >

  • Open Access

    ARTICLE

    A Temporal Multi-Tenant RBAC Model for Collaborative Cloud Services

    Zhengtao Liu1, *, Yi Ying1, Yaqin Peng1, Jinyue Xia2

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 861-871, 2020, DOI:10.32604/cmc.2020.07142

    Abstract Multi-tenant collaboration brings the challenge to access control in cloud computing environment. Based on the multi-tenant role-based access control (MTRBAC) model, a Temporal MT-RBAC (TMT-RBAC) model for collaborative cloud services is proposed. It adds the time constraint between trusted tenants, including usable role time constraint based on both calendar and interval time. Analysis shows that the new model strengthens the presentation ability of MT-RBAC model, achieves the finergrained access control, reduces the management costs and enhances the security of multitenant collaboration in cloud computing environment. More >

  • Open Access

    ARTICLE

    Intuitionistic Fuzzy Petri Nets Model Based on Back Propagation Algorithm for Information Services

    Junhua Xi1, *, Kouquan Zheng1, Jianfeng Ma1, Jungang Yang1, Zhiyao Liang2

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 605-619, 2020, DOI:10.32604/cmc.2020.06343

    Abstract Intuitionistic fuzzy Petri net is an important class of Petri nets, which can be used to model the knowledge base system based on intuitionistic fuzzy production rules. In order to solve the problem of poor self-learning ability of intuitionistic fuzzy systems, a new Petri net modeling method is proposed by introducing BP (Error Back Propagation) algorithm in neural networks. By judging whether the transition is ignited by continuous function, the intuitionistic fuzziness of classical BP algorithm is extended to the parameter learning and training, which makes Petri network have stronger generalization ability and adaptive function, More >

  • Open Access

    ARTICLE

    Analyser la structure de dispositifs de mise à disposition de données géographiques

    Application aux enjeux de suivi et de gestion du trait de côte en France

    Johan Desbonnet1 , Françoise Gourmelon1, Christophe Claramunt2

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 57-80, 2019, DOI:10.3166/rig.2019.00079

    Abstract Dans le cadre des enjeux de suivi et de gestion du trait de côte, le besoin d’informations et de connaissances sur le milieu côtier accessibles sur le Web est décrit comme un enjeu majeur. Néanmoins sur cette thématique, la stratégie des promoteurs de dispositifs mettant à disposition de l’information géographique numérique reste encore peu connue. Cet article décrit une approche méthodologique en vue d’étudier le volet technique des possibilités de consultation de l’information géographique sur des dispositifs en ligne susceptibles d’être mobilisés dans le suivi et la gestion du trait de côte en France. L’accès More >

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