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  • Open Access

    ARTICLE

    NAMO Géoweb

    Une plateforme pour valoriser la narration et la modélisation de l’espace géographique et des territoires

    Jean-Pierre Chery1, Marie Gradeler1, Vincent Bonnal2,3,4

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 355-376, 2022, DOI:10.3166/rig31.355-376

    Abstract Les besoins de valoriser et de partager des informations génériques et originales de différents projets de recherche, ont conduit à concevoir une plateforme géoweb dédiée, dénommée NAMO. Sa conception utilise des fonctionnalités ouvertes, libres et gratuites qui montrent leur souplesse dans une démarche agile et itérative. C’est en particulier le développement de deux dimensions de valorisation et de positionnement en géoweb 2.0 qui est souligné : la cartographie narrative et la modélisation systémique. Les dispositifs d’usage de l’information géographique, en particulier dans les démarches de co-construction et de science ouverte, peuvent ainsi être mieux outillés. More >

  • Open Access

    ARTICLE

    « Sans tabou »
    Une web-série pour aborder la sexualité chez les jeunes patients atteints de cancer

    F. Ait-Kaci, S. Vanderosieren, C. Lervat

    Psycho-Oncologie, Vol.16, No.3, pp. 289-293, 2022, DOI:10.3166/pson-2022-0205

    Abstract Même bouleversée par le cancer, la sexualité peut rester une source de satisfaction pour les jeunes patients. Or, dans l’esprit général, sexualité et cancer figurent comme deux tabous, deux figures antinomiques qui ne peuvent coexister ensemble. Pour dépasser ce paradoxe, la websérie Sans tabou se propose comme un outil de médiation spécifique à la tranche d’âge 17–25 ans abordant avec acuité et humour le thème de la vie amoureuse et sexuelle lors d’un cancer. Ses objectifs sont d’encourager les professionnels de santé à approcher ce sujet de manière ludique et didactique, de combattre les idées More >

  • Open Access

    ARTICLE

    Design of a Web Crawler for Water Quality Monitoring Data and Data Visualization

    Ziwen Yu1, Jianjun Zhang1,*, Wenwu Tan1, Ziyi Xiong1, Peilun Li1, Liangqing Meng2, Haijun Lin1, Guang Sun3, Peng Guo4

    Journal on Big Data, Vol.4, No.2, pp. 135-143, 2022, DOI:10.32604/jbd.2022.031024 - 31 October 2022

    Abstract Many countries are paying more and more attention to the protection of water resources at present, and how to protect water resources has received extensive attention from society. Water quality monitoring is the key work to water resources protection. How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection. In this paper, python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database (GEMStat) sites, and the multi-thread parallelism was added to More >

  • Open Access

    ARTICLE

    Systematic Approach for Web Protection Runtime Tools’ Effectiveness Analysis

    Tomás Sureda Riera1,*, Juan Ramón Bermejo Higuera2, Javier Bermejo Higuera2, Juan Antonio Sicilia Montalvo2, José Javier Martínez Herráiz1

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 579-599, 2022, DOI:10.32604/cmes.2022.020976 - 03 August 2022

    Abstract Web applications represent one of the principal vehicles by which attackers gain access to an organization’s network or resources. Thus, different approaches to protect web applications have been proposed to date. Of them, the two major approaches areWeb Application Firewalls (WAF) and Runtime Application Self Protection (RASP). It is, thus, essential to understand the differences and relative effectiveness of both these approaches for effective decisionmaking regarding the security of web applications. Here we present a comparative study between WAF and RASP simulated settings, with the aim to compare their effectiveness and efficiency against different categories More >

  • Open Access

    ARTICLE

    Association Rule Analysis-Based Identification of Influential Users in the Social Media

    Saqib Iqbal1, Rehan Khan2, Hikmat Ullah Khan2,*, Fawaz Khaled Alarfaj4, Abdullah Mohammed Alomair3, Muzamil Ahmed2

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6479-6493, 2022, DOI:10.32604/cmc.2022.030881 - 28 July 2022

    Abstract The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. The extensive adoption of social networking sites also resulted in user content generation. There are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets, politics and social life. Facebook is extensively used platform to share information, thoughts and opinions through posts and comments.… More >

  • Open Access

    ARTICLE

    Web Tracking Domain and Possible Privacy Defending Tools: A Literature Review

    Maryam Abdulaziz Saad Bubukayr1,*, Mounir Frikha2

    Journal of Cyber Security, Vol.4, No.2, pp. 79-94, 2022, DOI:10.32604/jcs.2022.029020 - 04 July 2022

    Abstract Personal data are strongly linked to web browsing history. By visiting a certain website, a user can share her favorite items, location, employment status, financial information, preferences, gender, medical status, news, etc. Therefore, web tracking is considered as one of the most significant internet privacy threats that can have a serious impact on end-users. Usually, it is used by most websites to track visitors through the internet in order to enhance their services and improve search customization. Moreover, selling users’ data to the advertising companies without their permission. Although there are more research efforts focused More >

  • Open Access

    ARTICLE

    Shallow Neural Network and Ontology-Based Novel Semantic Document Indexing for Information Retrieval

    Anil Sharma1,*, Suresh Kumar2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1989-2005, 2022, DOI:10.32604/iasc.2022.026095 - 25 May 2022

    Abstract Information Retrieval (IR) systems are developed to fetch the most relevant content matching the user’s information needs from a pool of information. A user expects to get IR results based on the conceptual contents of the query rather than keywords. But traditional IR approaches index documents based on the terms that they contain and ignore semantic descriptions of document contents. This results in a vocabulary gap when queries and documents use different terms to describe the same concept. As a solution to this problem and to improve the performance of IR systems, we have designed… More >

  • Open Access

    ARTICLE

    CWoT-Share: Context-Based Web of Things Resource Sharing in Blockchain Environment

    Yangqun Li1,2,*, Jin Qi1,2, Lijuan Min1,2, Hongzhi Yang1,2, Chenyang Zhou1,2, Bonan Jin3

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5079-5098, 2022, DOI:10.32604/cmc.2022.027281 - 21 April 2022

    Abstract Web of Things (WoT) resources are not only numerous, but also have a wide range of applications and deployments. The centralized WoT resource sharing mechanism lacks flexibility and scalability, and hence cannot satisfy requirement of distributed resource sharing in large-scale environment. In response to this problem, a trusted and secure mechanism for WoT resources sharing based on context and blockchain (CWoT-Share) was proposed. Firstly, the mechanism can respond quickly to the changes of the application environment by dynamically determining resource access control rules according to the context. Then, the flexible resource charging strategies, which reduced More >

  • Open Access

    ARTICLE

    An Intelligent Recommendation System for Real Estate Commodity

    Tsung-Yin Ou1, Guan-Yu Lin2, Hsin-Pin Fu1, Shih-Chia Wei1, Wen-Lung Tsai3,*

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 881-897, 2022, DOI:10.32604/csse.2022.022637 - 08 February 2022

    Abstract Most real estate agents develop new objects by visiting unfamiliar clients, distributing leaflets, or browsing other real estate trading website platforms, whereas consumers often rely on websites to search and compare prices when purchasing real property. In addition to being time consuming, this search process renders it difficult for agents and consumers to understand the status changes of objects. In this study, Python is used to write web crawler and image recognition programs to capture object information from the web pages of real estate agents; perform data screening, arranging, and cleaning; compare the text of… More >

  • Open Access

    ARTICLE

    Game Outlier Behavior Detection System Based on Dynamic Time Warp Algorithm

    Shinjin Kang1, Soo Kyun Kim2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 219-237, 2022, DOI:10.32604/cmes.2022.018413 - 24 January 2022

    Abstract This paper proposes a methodology for using multi-modal data in gameplay to detect outlier behavior. The proposed methodology collects, synchronizes, and quantifies time-series data from webcams, mouses, and keyboards. Facial expressions are varied on a one-dimensional pleasure axis, and changes in expression in the mouth and eye areas are detected separately. Furthermore, the keyboard and mouse input frequencies are tracked to determine the interaction intensity of users. Then, we apply a dynamic time warp algorithm to detect outlier behavior. The detected outlier behavior graph patterns were the play patterns that the game designer did not More >

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