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Journal articles on the topic 'Web-Intelligent-System'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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1

K, Deepa, Gangeswar P, Manikandan M, and Charulatha C. "Intelligent web-based E-learning system." International Journal of Engineering & Technology 7, no. 2.26 (May 7, 2018): 1. http://dx.doi.org/10.14419/ijet.v7i2.26.12522.

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This paper is based on Web Application and it is host on the cloud web server. The main theme of that paper is study oriented material are bind to form the single website. It is mainly used for students to refer there department’s major paper oriented topic. This paper severs in the way of a video tutorial, presentation and relevant edition of book. It can be categories into a different part of languages C, C++, JAVA, database, computer networks etc. Whatever area the user wants they can be searched to use that material. There are three categories of user they are an admin, moderator and visitor. Admin having all permission to view the detail of the users. This will help to know what requirement the user needs. The visitor is a general user to visit the website to surf the study content and having some doubt about the subject they permit to post on that site. Moderator is the intermediate between the admin and the visitor, they have to upload the videos and presentation content and have to reply the posted questions also. The web framework was developed with the help of python-Django 1.11.1. It is one of the web frameworks that has inbuilt module and API. The user gets login with the help of Google authentication. In that way they detail can be stored in the database. Sqlite3 version database is used for fast retrieving and storing the data. The front end of this project is using HTML, CSS, and JavaScript. This will provide the good user-interface. The hijacker module is used to improvise the search content.

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Kundu, Shakti, and M. L. Garg. "Web Mining Intelligent Agents (WEBMINTEL) System." International Journal of Advanced Science and Technology 104 (July 31, 2017): 1–12. http://dx.doi.org/10.14257/ijast.2017.104.01.

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Shoda, Shuichi. "Intelligent Web Monitoring System“SmartAdvisor 5.0”." JAPAN TAPPI JOURNAL 69, no. 3 (2015): 286–88. http://dx.doi.org/10.2524/jtappij.69.286.

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4

Wei, Shou Ju. "Design of Intelligent Web-Based Learning System." Applied Mechanics and Materials 608-609 (October 2014): 430–34. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.430.

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Web-based learning system is a means of learning-oriented construction and education informationization for vocational & technical colleges at present. Basing on the analysis of the instructors' learning characteristics, the author has designed an intelligent web-based learning system which can be used for learning management, learning evaluation and discussion. The system has been realized by .NET Platform and Immune Genetic Algorithm.

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Rani, Geeta, Vijaypal Singh Dhaka, Sonam, Upasana Pandey, and Pradeep Kumar Tiwari. "Intelligent and Adaptive Web Page Recommender System." International Journal of Web Services Research 18, no. 4 (October 2021): 27–50. http://dx.doi.org/10.4018/ijwsr.2021100102.

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In this manuscript, an intelligent and adaptive web page recommender system is proposed that provides personalized, global, and group mode of recommendations. The authors enhance the utility of a trie node for storing relevant web access statistics. The trie node enables dynamic clustering of users based on their evolving browsing patterns and allows a user to belong to multiple groups at each navigation step. The system takes cues from the field of crowd psychology to augment two parameters for modeling group behavior: uniformity and recommendation strength. The system continuously tracks the user's responses in order to adaptively switch between different recommendation-criteria in the group and personalized modes. The experimental results illustrate that the system achieved the maximum F1 measure of 83.28% on CTI dataset, which is a significant improvement over the 70% F1 measure reported by automatic clustering-based genetic algorithm, the prior web recommender system.

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Fong, A. C. M., S. C. Hui, and P. Y. Lee. "XFighter: an intelligent web content filtering system." Kybernetes 38, no. 9 (October 16, 2009): 1541–55. http://dx.doi.org/10.1108/03684920910991522.

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Qiu, Wei. "Application of Web-Based Intelligent Agent Tutoring Learning System." Applied Mechanics and Materials 20-23 (January 2010): 1078–83. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.1078.

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This document applied the intelligent agent technology into web-based education platform, which make web-based education more humanized, get further popularization and widely used. In the article, we introduced a web-based intelligent tutoring learning system. It could flexibly organize learning materials according his individual requirement providing personalized learning environment. The idea the based theory learning contents organization the key technology, system structure and how to realized it are all be dissertated. The web-base education has become a research focus; answer system on-line is an important part of it. In this paper, we introduce the concept and characteristics of Intelligent Agent technology, and propose a design plan about Intelligent Agent based answer system on-line.

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Kayode, Aderonke A., Abidemi E. Adeniyi, and Noah O. Akande. "Development of a Web Based Intelligent Dietetic System." International Journal of Engineering Research and Technology 13, no. 2 (February 28, 2020): 207. http://dx.doi.org/10.37624/ijert/13.2.2020.207-211.

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Anandarajan, M., and S. Anandarajan. "Glaucoma screening: a web-based intelligent system approach." International Journal of Healthcare Technology and Management 3, no. 5/6 (2001): 485. http://dx.doi.org/10.1504/ijhtm.2001.001124.

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Ayub, Muhammad A., Ruziyati Tajuddin, and Michael R. Jackson. "Intelligent gripping system for handling flexible web fabric." Assembly Automation 32, no. 3 (July 27, 2012): 276–83. http://dx.doi.org/10.1108/01445151211244438.

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11

Peredo, Rubén, Alejandro Canales, Alain Menchaca, and Iván Peredo. "Intelligent Web-based education system for adaptive learning." Expert Systems with Applications 38, no. 12 (November 2011): 14690–702. http://dx.doi.org/10.1016/j.eswa.2011.05.013.

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12

Wang, Ming, Xiao Man Zheng, Yu Qian Xie, and Shi Ping Yu. "On the Analysis of Web-Based Intelligent English Self-Learning System." Applied Mechanics and Materials 644-650 (September 2014): 6229–32. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.6229.

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With the development of Web-based Intelligent Learning System in the information society, we should pay attention to its usage in autonomous English learning. At first, this thesis shows the basic knowledge of Artificial Intelligence and discusses the feasibility of combining Artificial Intelligence with Web-based Intelligent English self-learning system. Second, it analyzes the combination of Expert system with Web-based Intelligent English self-learning system. Finally, it probes into that this new system will promote the revolutionary of the English self-learning mode.

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13

Chawla, Suruchi. "Intelligent web search system for personalised web search based on recommendation of web page communities." International Journal of Intelligent Systems Design and Computing 3, no. 1 (2019): 12. http://dx.doi.org/10.1504/ijisdc.2019.10027394.

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Chawla, Suruchi. "Intelligent web search system for personalised web search based on recommendation of web page communities." International Journal of Intelligent Systems Design and Computing 3, no. 1 (2019): 12. http://dx.doi.org/10.1504/ijisdc.2019.105793.

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15

Hazry, Desa, Masanori Sugisaka, and Taki Yuji. "Human-Robot Interface over the Web Based Intelligent System." American Journal of Applied Sciences 3, no. 1 (January 1, 2006): 1634–39. http://dx.doi.org/10.3844/ajassp.2006.1634.1639.

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Jinhyung, Myunggwon Hwang, Hanmin Jung, and WonKyung Sung. "iLaw: Semantic Web Technology based Intelligent Legislation Supporting System." International Journal of Information Processing and Management 3, no. 1 (January 31, 2012): 45–49. http://dx.doi.org/10.4156/ijipm.vol3.issue1.5.

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17

Cho, Young-Im. "An Intelligent Web based e-Learning Multi Agent System." Journal of Korean Institute of Intelligent Systems 17, no. 1 (February 25, 2007): 39–45. http://dx.doi.org/10.5391/jkiis.2007.17.1.039.

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Boutas, Sotirios D., Ioannis E. Anagnostopoulos, Vassili Loumos, and Eleftherios Kayafas. "An intelligent web recommendation system for ubiquitous geolocation awareness." International Journal of Ad Hoc and Ubiquitous Computing 14, no. 1 (2013): 1. http://dx.doi.org/10.1504/ijahuc.2013.056270.

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19

Wai Lam and Kei Shiu Ho. "FIDS: an intelligent financial Web news articles digest system." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 31, no. 6 (2001): 753–62. http://dx.doi.org/10.1109/3468.983433.

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Lai, Hsiangchu, and Tzyy-Ching Yang. "A system architecture for intelligent browsing on the Web." Decision Support Systems 28, no. 3 (May 2000): 219–39. http://dx.doi.org/10.1016/s0167-9236(99)00087-1.

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21

Orii, Yuki, Takayuki Nozawa, and Toshiyuki Kondo. "Web-Based Intelligent Photograph Management System Enhancing Browsing Experience." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 4 (May 20, 2010): 390–95. http://dx.doi.org/10.20965/jaciii.2010.p0390.

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We developed a web-based intelligent photograph browsing system that enables automatic clustering of unstructured digital photograph collection. We conducted a user study to assess the effectiveness of developed photograph browsing system em APC and APCCT). The user task adopted here was finding some target photographs indicated by the experimenter. The results suggest that the clustering method of the photograph browsing systems should be changed according to whether or not the photographs had been taken by the user.

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22

Baloglu, Arzu, Mudasser F. Wyne, and Yilmaz Bahcetepe. "Web 2.0 Based Intelligent Software Architecture for Photograph Sharing." International Journal of Intelligent Information Technologies 6, no. 4 (October 2010): 17–29. http://dx.doi.org/10.4018/jiit.2010100102.

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With the development of Web 2.0 technologies, the sharing of photographs has increased. In this paper, the authors evaluate the art of photography, analyze how to develop intelligent photograph sharing system, and explaine the requirements of such systems. The authors present an architecture of an intelligent Web 2.0 based system and in future hope to add more modules for retention of users on the system. The system focuses on Web 2.0 usage, web mining for personalization service, and brings a different approach to collaborative filtering.

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Sathiyamoorthi V., Suresh P., Jayapandian N., Kanmani P., Deva Priya M., and Sengathir Janakiraman. "An Intelligent Web Caching System for Improving the Performance of a Web-Based Information Retrieval System." International Journal on Semantic Web and Information Systems 16, no. 4 (October 2020): 26–44. http://dx.doi.org/10.4018/ijswis.2020100102.

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With an increasing number of web users, the data traffic generated by these users generates tremendous network traffic which takes a long time to connect with the web server. The main reason is, the distance between the client making requests and the servers responding to those requests. The use of the CDN (content delivery network) is one of the strategies for minimizing latency. But, it incurs additional cost. Alternatively, web caching and preloading are the most viable approaches to this issue. It is therefore decided to introduce a novel web caching strategy called optimized popularity-aware modified least frequently used (PMLFU) policy for information retrieval based on users' past access history and their trends analysis. It helps to enhance the proxy-driven web caching system by analyzing user access requests and caching the most popular web pages driven on their preferences. Experimental results show that the proposed systems can significantly reduce the user delay in accessing the web page. The performance of the proposed system is measured using IRCACHE data sets in real time.

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TSIRIGA, VICTORIA, and MARIA VIRVOU. "EVALUATING THE INTELLIGENT FEATURES OF A WEB-BASED INTELLIGENT COMPUTER ASSISTED LANGUAGE LEARNING SYSTEM." International Journal on Artificial Intelligence Tools 13, no. 02 (June 2004): 411–25. http://dx.doi.org/10.1142/s0218213004001600.

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In this paper we present and discuss the results of the evaluation of an Intelligent Computer Assisted Language Learning (ICALL) system that operates over the Web. In particular, we aimed at evaluating the system along three dimensions: a) the effect of the intelligent features of the system on the learning outcome of students, b) the system's ability to provide individualized support to students that leads to more effective use of the system and c) the general usability and friendliness of the ICALL. To achieve this, we conducted an empirical study, where we compared the intelligent system with a non-intelligent version of it. The results of the study revealed that the students of the Web-based ICALL had gained more knowledge of the domain and had been able to interact with the system more effectively as compared to the students that had used the non-intelligent version of the system. However, the students of the intelligent version of the system found it more difficult and they needed more time to get acquainted with the system in comparison to the students of the non-intelligent system.

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25

Mahmoud, Safaa S. "Development Intelligent Web-based Learning System Using Object-Oriented Approach for Improving Students Innovative Thinking." International Journal of Engineering and Technology 1, no. 4 (2009): 367–75. http://dx.doi.org/10.7763/ijet.2009.v1.70.

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26

Mostafaeipour, Ali, and Nirjhar Roy. "Implementation of Web based Technique into the Intelligent Manufacturing System." International Journal of Computer Applications 17, no. 6 (March 31, 2011): 38–43. http://dx.doi.org/10.5120/2221-2830.

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27

Wang, Jia Dao, Da Rong Chen, and Xianmei Kong. "A Web-Based Remote Intelligent Expert System for Ferrography Diagnosis." Key Engineering Materials 245-246 (July 2003): 367–72. http://dx.doi.org/10.4028/www.scientific.net/kem.245-246.367.

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28

Fong, A. C. M., and S. C. Hui. "Web-based intelligent surveillance system for detection of criminal activities." Computing & Control Engineering Journal 12, no. 6 (December 1, 2001): 263–70. http://dx.doi.org/10.1049/cce:20010603.

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29

Zulkernine, F. H., and P. Martin. "An Adaptive and Intelligent SLA Negotiation System for Web Services." IEEE Transactions on Services Computing 4, no. 1 (January 2011): 31–43. http://dx.doi.org/10.1109/tsc.2010.44.

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30

Elayeb, Bilel, Fabrice Evrard, Montaceur Zaghdoud, and Mohamed Ben Ahmed. "Towards an intelligent possibilistic web information retrieval using multiagent system." Interactive Technology and Smart Education 6, no. 1 (January 30, 2009): 40–59. http://dx.doi.org/10.1108/17415650910965191.

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31

Cheung, B., L. Hui, J. Zhang, and S. M. Yiu. "SmartTutor: An intelligent tutoring system in web-based adult education." Journal of Systems and Software 68, no. 1 (October 2003): 11–25. http://dx.doi.org/10.1016/s0164-1212(02)00133-4.

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32

Anithadevi, N., and M. Sundarambal. "A design of intelligent QoS aware web service recommendation system." Cluster Computing 22, S6 (March 7, 2018): 14231–40. http://dx.doi.org/10.1007/s10586-018-2279-8.

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33

Chen, Chih-Ming. "Intelligent web-based learning system with personalized learning path guidance." Computers & Education 51, no. 2 (September 2008): 787–814. http://dx.doi.org/10.1016/j.compedu.2007.08.004.

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34

Huang, Jing, and Zhu Chen. "The Research and Design of Web-based Intelligent Tutoring System." International Journal of Multimedia and Ubiquitous Engineering 11, no. 6 (June 30, 2016): 337–48. http://dx.doi.org/10.14257/ijmue.2016.11.6.30.

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35

Xi, Haixu, Wei Gao, and Jin Qian. "Research of Intelligent Web Courseware Model System Based on Ontology." International Journal of Grid and Distributed Computing 8, no. 2 (April 30, 2015): 259–72. http://dx.doi.org/10.14257/ijgdc.2015.8.2.23.

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CHEN, YU-RU, MING-CHUAN HUNG, and DON-LIN YANG. "Using Data Mining to Construct an Intelligent Web Search System." International Journal of Computer Processing of Languages 16, no. 02 (June 2003): 143–70. http://dx.doi.org/10.1142/s0219427903000875.

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37

Keleş, Aytürk, Rahim Ocak, Ali Keleş, and Aslan Gülcü. "ZOSMAT: Web-based intelligent tutoring system for teaching–learning process." Expert Systems with Applications 36, no. 2 (March 2009): 1229–39. http://dx.doi.org/10.1016/j.eswa.2007.11.064.

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38

Nakabayashi, Kiyoshi, Yoshimasa Koike, Mina Maruyama, Hirofumi Touhei, Yoshimi Fukuhara, and Yukihiro Nakamura. "CALAT: An intelligent CAI system using the World Wide Web." Systems and Computers in Japan 28, no. 9 (August 1997): 17–25. http://dx.doi.org/10.1002/(sici)1520-684x(199708)28:9<17::aid-scj3>3.0.co;2-n.

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39

Chen, Chao, Tao Meng, and Lin Lin. "A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms." International Journal of Multimedia Data Engineering and Management 4, no. 2 (April 2013): 13–45. http://dx.doi.org/10.4018/jmdem.2013040102.

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The popularity of research on intelligent multimedia services and applications is motivated by the high demand of the convenient access and distribution of pervasive multimedia data. Facing with abundant multimedia resources but inefficient and rather old-fashioned keyword-based retrieval approaches, Intelligent Multimedia Systems (IMS) demand on (i) effective filtering algorithms for storage saving, computation reduction, and dynamic media delivery; and (ii) advanced learning methods to accurately identify target concepts, effectively search personalized media content, and enable media-type driven applications. Nowadays, the web based multimedia applications become more and more popular. Therefore, how to utilize the web technology into multimedia data management and retrieval becomes an important research topic. In this paper, the authors developed a web-based intelligent video retrieval system that integrates effective and efficient MCA-based filtering and subspace-based learning to facilitate end users to retrieve their desired semantic concepts. A web-based demo shows the effectiveness of the proposed intelligent multimedia system to provide relevant results of target semantic concepts retrieved from TRECVID video collections.

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Jabeur, Nafaâ, and Hedi Haddad. "From intelligent web of things to social web of things." Facta universitatis - series: Electronics and Energetics 29, no. 3 (2016): 367–81. http://dx.doi.org/10.2298/fuee1603367j.

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Numerous challenges, including limited resources, random mobility, and lack of standardized communication protocols, are currently preventing a myriad of heterogeneous devices to interact and provide Web services within the context of the Web of Things (WoT). We argue in this paper that these devices should be augmented with artificial intelligence techniques for an enhanced management of their resources and an easier construction of Web applications integrating Real World Things (RWT). To this end, we present a new classification of the WoT challenges and highlight the opportunities of embedding smartness into RWT. We also present our vision of Intelligent WoT by proposing a multiagent system-based architecture for intelligent Web service composition. In addition, we discuss the shift of the WoT toward a Social WoT (SWoT) and debate our ideas within two important scenarios, namely the Intelligent VANET-WoT and smart logistics.

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Gan, Jian Hou, and Ling Yun Yuan. "Study on Knowledge Base Construction for the Network Teaching Resource Based on Semantic Web." Applied Mechanics and Materials 16-19 (October 2009): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.758.

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Intelligent teaching system design has become an active research topic in education research community. How to manage the network teaching resource efficiently will have a direct impact on the teaching process and quality in the network teaching system. The semantic web can be a very promising platform for knowledge management systems in the intelligent teaching system design. In this paper, we have presented a framework for the network teaching resource knowledge base (NTRKB) based on semantic web, which includes network teaching resource knowledge representation, regular relation definition based on OWL, knowledge base modeling and construction based on RDF. The NTRKB can achieve knowledge sharing and intelligent retrieval for the network teaching resource, and these components will greatly benefit the development of the proposed intelligent teaching system.

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Yamada, Seiji, Tsuyoshi Murata, and Yasufumi Takama. "Selected Papers from IWI 2009." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 4 (May 20, 2010): 383. http://dx.doi.org/10.20965/jaciii.2010.p0383.

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Various Web systems and services currently provide a great deal of benefits to users, with Web interaction becoming increasingly important in research and business. Such Web interaction has been realized through related technologies as interaction design, interactive information retrieval, interactive intelligent systems, personalization, user interfaces and interactive machine learning. However, each study and development in such different fields has been done independently, which might discourage us from studying Web interaction from an unified view of human-system interaction and making Web interaction more intelligent by applying AI and computational intelligence. Guest Editors (Seiji Yamada, Tsuyoshi Murata, and Yasufumi Takama) organized an Intelligent Web Interaction Workshop 2009 (IWIf09) in Milano, Italy, last year to bring together researchers in diversified fields including Web systems, AI, computational intelligence, humancomputer interaction and user interfaces. Held jointly with 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2009), IWIf09 produced 14 outstanding papers - an acceptance rate of 50%, and active discussions among speakers and participants. A subsequent workshop Intelligent Web Interaction Workshop 2010 (IWIf10) will be held in Toronto, Canada in this September. This special issue presents intelligent Web interaction as a new and promising research field. Speakers selected from among those at IWIf09 were encouraged to submit papers for this issue. The submissions were then reviewed for relevance, originality, significance and presentation based on JACIII review criteria. This special issue consists of five papers which describe excellent studies on Web interface, Web systems, Web credibility, constrained clustering for interactive Web application and graph analysis on the Web. The acceptance rate was 56%. All papers introduce promising approaches and interesting results that readers will find inspiring. We strongly believe intelligent Web interaction has tremendous potential as a new, active field of research, and we hope this issue will motivate researchers to expand studies on intelligent Web interaction.

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Sathiyamoorthi V. "An Intelligent System for Predicting a User Access to a Web Based E-Learning System Using Web Mining." International Journal of Information Technology and Web Engineering 15, no. 1 (January 2020): 75–94. http://dx.doi.org/10.4018/ijitwe.2020010106.

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In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.

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Chen, Y., F. Naghdy, and J. Rogers. "A Web-Based Intelligent Tutoring System For Instruction in a Control System Laboratory." IFAC Proceedings Volumes 33, no. 31 (December 2000): 61–66. http://dx.doi.org/10.1016/s1474-6670(17)37839-4.

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PITKÄNEN, TATU, and BOB BETTENDORF. "Applications of tension and nip load profile measurement using a novel roll mounted electret film sensor." April 2010 9, no. 4 (May 1, 2010): 13–19. http://dx.doi.org/10.32964/tj9.4.13.

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An intelligent roll is a mechatronic system consisting of a roll in a web handling machine that also is used as a transducer for sensing cross-machine tension or linear load. The intelligent roll has electret film force sensors mounted on it in a helical arrangement. The sensors measure the force applied by the material being produced, such as a paper web, and thus provide information about the behavior and quality of the product. In addition to the force sensors, the intelligent roll system has an electronic signal processing module on the roll end and a digital radio link to transmit the data from the rotating roll. The receiver is connected to an automation network. An intelligent roll can be used to measure the tension profile online without separate scanning devices. An intelligent roll used as a reel or winder drum enables online measurement of linear load profiles during reeling and winding. Intelligent roll technology also enables temporary process and runnability analysis measurements by using tape-mounted sensors. Problems such as loose web edges, off-machine coater web shifting, winding problems, and reeling defects have been solved with these measurements. This paper describes the technology and presents three examples of its application to improve process runnability.

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Gong, Tao, Jia Jia Zhou, and Lei Qi. "Intelligent Techniques in Teaching Science of Artificial Immune System." Applied Mechanics and Materials 48-49 (February 2011): 637–40. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.637.

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Building on three theoretical paradigms (student model, ICAI model, and multi-dimension education immune agent), some intelligent techniques are proposed and designed to teach Fuzzy Mathematics and Science of Artificial Immune System in a web-based way. The goal of the teaching methodology is a new learning, which is interactive, sharing, open, cooperative, and autonomous. The great difference between traditional approaches for teaching such knowledge and the new approach in this paper is the centre of teaching. The traditional teaching is centered with teachers but the new teaching is centered with students. The teaching system for Fuzzy Mathematics and Science of Artificial Immune System is a virtual classroom based on the web, and the two courses are designed as web-based courses. Moreover, for Science of Artificial Immune System, the web-based course system is a typical artificial immune system in fact, and students can learn more real knowledge from the web-based course immune system.

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Huang, Ke Wang. "Design of an Internet of Things Intelligent Basket System." Applied Mechanics and Materials 496-500 (January 2014): 1944–47. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1944.

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The paper focuses on design of an Internet of things intelligent basket system. The system is the public service platform with the internet of things technology which is used to buy the food, send the food and receive the food. The system includes two parts: server (web site) and the client (intelligent basket) and it can communicate between them.

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48

Zhao, Hui, and Lina Guo. "Design of Intelligent Computer Aided Network Teaching System Based on Web." Computer-Aided Design and Applications 19, S1 (March 23, 2021): 12–23. http://dx.doi.org/10.14733/cadaps.2022.s1.12-23.

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Li, Wei. "The Design of Remote Intelligent Irrigation System Based on Web Servers." Applied Mechanics and Materials 416-417 (September 2013): 806–10. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.806.

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Abstract:

The paper proposed program of lower-cost traditional 8-bit micro-controller with Web servers function, and is designed for remote control system. The system has the flexibility and low cost. And according to the actual needs of the decision-making and management of plant irrigation, intelligent irrigation system was designed and implemented.The system solve the difficult and critical hardware products import prices too high and difficult to promote for distribution of soil temperature and humidity monitoring.The system cost compared to similar foreign products decreased 44.8%.Compared with traditional irrigation methods, crop water use efficiency of 22.6%.The design of software and thinking can popularize and promote practical reference value, the future of smart home system.

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Hassan, Abid, M. D. Iftekhar Ali, Rifat Ahammed, Sami Bourouis, and Mohammad Monirujjaman Khan. "Development of NLP-Integrated Intelligent Web System for E-Mental Health." Computational and Mathematical Methods in Medicine 2021 (December 13, 2021): 1–20. http://dx.doi.org/10.1155/2021/1546343.

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As the COVID-19 pandemic continues, the need for a better health care facility is highlighted more than ever. Besides physical health, mental health conditions have become a significant concern. Unfortunately, there are few opportunities for people to receive mental health care. There are inadequate facilities for seeking mental health support even in big cities, let alone remote areas. This paper presents the structure and implementation procedures for a mental health support system combining technology and professionals. The system is a web platform where mental health seekers can register and use functionalities like NLP-based chatbot for personality assessment, chatting with like-minded people, and one-to-one video conferencing with a mental health professional. The video calling feature of the system has emotion detection capabilities using computer vision. The system also includes downloadable prescription facilities and a payment gateway for secure transactions. From a technological aspect, the conversational NLP-based chatbot and computer vision-powered video calling are the system’s most important features. The system has a documentation facility to analyze the mental health condition over time. The web platform is built using React.js for the frontend and Express.js for the backend. MongoDB is used as the database of the platform. The NLP chatbot is built on a three-layered deep neural network model that is programmed in the Python language and uses the NLTK, TensorFlow, and Keras sequential API. Video conference is one of the most important features of the platform. To create the video calling feature, Express.js, Socket.io, and Socket.io-client have been used. The emotion detection feature is implemented on video conferences using computer vision, Haar Cascade, and TensorFlow. All the implemented features are tested and work fine. The targeted users for the platform are teenagers, youth, and the middle-aged population. Mental health-seeking is still considered taboo in some societies today. Apart from basic established facilities, this social dilemma of undergoing treatment for mental health is causing severe damage to individuals. A solution to this problem can be a remote platform for mental health support. With this goal in mind, this system is designed to provide mental health support to people remotely from anywhere worldwide.

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