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Integrating E-Learning Environments With Computational Intelligence Assessment Agents

Christos E. Alexakos, Konstantinos C. Giotopoulos, Eleni J. Thermogianni, Grigorios N. Beligiannis, Spiridon D. Likothanassis
2008 Zenodo  
The utilization of new and emerging technologies like web services allows integrating the provided services to any web based legacy e-learning environment.  ...  It introduces the design and development of a scalable and interoperable integration platform supporting various assessment agents for e-learning environments.  ...  The operation of Bayesian networks is based on a well known mathematical rule, the Bayes' rule.  ... 
doi:10.5281/zenodo.1075824 fatcat:qzwk3zteu5ektm2xzg7qgijofa

Integrating Agents And Computational Intelligence Techniques In E-Learning Environments

Konstantinos C. Giotopoulos, Christos E. Alexakos, Grigorios N. Beligiannis, Spiridon D.Likothanassis
2007 Zenodo  
These parts are distributed geographically in dispersed computer servers, with main focus on the design and development of these subsystems through the use of new and emerging technologies.  ...  These parts are interconnected in an interoperable way, using web services for the integration of the subsystems, in order to enhance the user modelling procedure and achieve the goals of the learning  ...  First of all, the teacher will establish the basic models for the knowledge and will also provide the initial rules for the decision making policy of the agent based on the input of the Bayesian network  ... 
doi:10.5281/zenodo.1057312 fatcat:vrkinfoa45gxtnjt5hqyva7zfm

Computational Intelligence Techniques And Agents- Technology In E-Learning Environments

Konstantinos C. Giotopoulos, Christos E. Alexakos, Grigorios N. Beligiannis, Spiridon D.Likothanassis
2008 Zenodo  
These parts are distributed geographically in dispersed computer servers, with main focus on the design and development of these subsystems through the use of new and emerging technologies.  ...  These parts are interconnected in an interoperable way, using web services for the integration of the subsystems, in order to enhance the user modelling procedure and achieve the goals of the learning  ...  The proposed student model handles this issue through a technique based on Bayesian networks.  ... 
doi:10.5281/zenodo.1061879 fatcat:55cnf5ahlfhk5edme3c67cjgx4

Advances in aligning knowledge systems, improving business logistics, driving innovation and adapting customer centric services

Amy J.C. Trappey, Charles V. Trappey
2010 Expert systems with applications  
The authors Lo, Tseng and Chu provide a paper entitled ''One Step QFD Based 3D Morphological Charts for Concept Generation of Product Variant Design" to facilitate conceptual design innovation.  ...  Determining which product to develop when given a portfolio of ideas is addressed by Chiang and Che in the paper ''The Application of Bayesian Belief Networks and Weight Restricted Fuzzy DEA to Evaluate  ... 
doi:10.1016/j.eswa.2010.04.035 fatcat:arrmezvn5ng4rf6phbnryzdyou

Technical Target Setting in QFD for Web Service Systems Using an Artificial Neural Network

Lianzhang Zhu, Xiaowing Liu
2010 IEEE Transactions on Services Computing  
A new method for technical target setting in QFD, based on an artificial neural network, is also presented.  ...  Index Terms-Web service system, service quality management, Bayesian regularized neural network, quality function deployment (QFD), technical targets setting.  ...  Technical targets of the design attributes are determined based on the analysis of the impact of design attributes on customer's needs using a Bayesian Regularized Artificial Neural Network (ANN) method  ... 
doi:10.1109/tsc.2010.45 fatcat:xjhven7i2fbo3arptnxnaa2xnm

The Design of an Accountability Framework for Service Engineering

Kwei-Jay Lin
2008 Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)  
Our design adopts Bayesian Networks to look for the most likely causes in a service process and inspects those services individually to identify the problem.  ...  The goal of our service science and engineering research is to advance IT-based services technology for service innovation, composition and delivery.  ...  Based on above, the original travel planner business network is transformed to the Bayesian network with parameters configured as illustrated in Figure 5 .  ... 
doi:10.1109/hicss.2008.431 dblp:conf/hicss/Lin08 fatcat:olxhzupal5h2hg3ff3hu6s45te

Integrating Computational Intelligence Techniques And Assessment Agents In Elearning Environments

Konstantinos C. Giotopoulos, Christos E. Alexakos, Grigorios N. Beligiannis, Spiridon D.Likothanassis
2007 Zenodo  
The agents are implemented in order to provide intelligent assessment services based on computational intelligence techniques such as Bayesian Networks and Genetic Algorithms.  ...  The utilization of new and emerging technologies like web services allows integrating the provided services to any web based legacy e-learning environment.  ...  The operation of Bayesian networks is based on a well known mathematical rule, the Bayes' rule.  ... 
doi:10.5281/zenodo.1074930 fatcat:wdtnbunf4nhtph453ysctndwgi

A Scenario-Based Methodology for Cloud Computing Security Risk Assessment

Ishraga Mohamed Ahmed Khogali, Hany Ammar
2017 International journal for innovation education and research  
The methodology is based using Bayesian networks to estimate the likelihood of cloud application security failure which enables us to compute the probability distribution of failures over variables of  ...  Cloud computing has been one of the major emerging technologies in recent years.  ...  One of the most important recommendations of their report is a set of assurance criteria designed to assess the risk of adopting cloud services.  ... 
doi:10.31686/ijier.vol5.iss12.875 fatcat:cpdqr65jtbdddid7zjlc5e6jky

Design and Service Effect Evaluation of Agricultural Social Service Platform Based on 5G and Cloud Computing

Mengling Zhang, Yuhan Zhang, Zhenling Weng, Zhaojiu Chen, Kuruva Lakshmanna
2022 Wireless Communications and Mobile Computing  
The design of agricultural socialization service platform is realized, and finally, the service effect of the platform is evaluated by neural network.  ...  The proposal of the development concept of "Mass Entrepreneurship, Mass Innovation" marks that my country has gradually entered an innovative society, and the development of public services and service  ...  Acknowledgments This work was funded by the National Natural Science Foundation of China (funding numbers: 71573111, 71863019, and 72163014).  ... 
doi:10.1155/2022/4949242 fatcat:e5gyqplvtnf2xoxysxkjovo2gi

Designing critical policy infrastructures by participatory systems analysis: the case of Fukushima's reconstruction

Toshiyuki Yasui, Seiko Shirasaka, Takashi Maeno
2014 International Journal of Critical Infrastructures  
Based on these developments, this paper proposes a participatory systems analysis model for public policy design (PSP), a new methodology that employs Bayesian network modelling.  ...  Recent developments in service science and social design have resulted in new policy design methodologies. On the service science side, the concept of co-creation has appeared.  ...  The Center for Education and Research of Symbiotic, Safe and Secure Systems Design of the Designing critical policy infrastructures by participatory systems analysis 345 Keio University Advanced Research  ... 
doi:10.1504/ijcis.2014.066337 fatcat:24mjdpq2frbuzc42vgfrwxsvee

A Service-Oriented Architecture for Student Modeling in Peer Assessment Environments [chapter]

Gabriel Badea, Elvira Popescu, Andrea Sterbini, Marco Temperini
2018 Lecture Notes in Computer Science  
More specifically, we designed and implemented a web service based on a Bayesian Network model, which computes learners' Competence and Assessment capability, basing on data coming from peer assessment  ...  Bayesian Network Service and Corresponding API We designed and implemented a Bayesian Network Service (BNS), as a Python-based library applied for modeling Competence and Assessment capability features  ... 
doi:10.1007/978-3-030-03580-8_4 fatcat:up6qof5hbne7xoeulpc4lhhrj4

Application of Big Data Technology in the Impact of Tourism E-Commerce on Tourism Planning

Heqing Zhang, Tingting Guo, Xiaobo Su, Zhihan Lv
2021 Complexity  
Tourism is one of the first industries to apply network technology. After long-term exploration and innovation, tourism e-commerce has developed rapidly.  ...  classification algorithms, and Bayesian estimation algorithms, which are used to customize tourism e-commerce in the EBD, and research experiment on the impact of tourism.  ...  in response to problems in the development of e-commerce tourism and based on the service-oriented design idea.  ... 
doi:10.1155/2021/9925260 fatcat:bxtalssnanh2rdb5ugislpnnba

Perception of quality in cloud computing based services

Aleksandar Karadimce, Danco Davcev
2016 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)  
Contents Introduction Motivation Related work Perception of quality for cloud-based servicesBayesian model for evaluation of quality for cloud-based services Conclusion and future work Perception  ...  .  Depending on the cloud service type, we have proposed QoE-based classification of different cloud services, with regard to level of interactivity, service complexity, usage domain, and multimedia-intensity  ...  , in the established Bayesian network.  This assessment has provided the realistic estimation for the different intensity of usage on cloud-based services based on the proposed classification.  ... 
doi:10.1109/qomex.2016.7498925 dblp:conf/qomex/KaradimceD16 fatcat:zj2xdthpaba2dkazyvi7yyhttq

Computationally Networked Urbanism and Big Data-driven Decision-Making Processes for Internet of Things-enabled Smart Cities [chapter]

2020 Proceedings of the International Conference on Economics and Social Sciences  
The objective of this paper is to integrate and inspect current evidence on Internet of Things-enabled smart cities.  ...  Using and replicating data from ESI ThoughtLab, KPMG, McKinsey, and Osborne Clarke, we performed analyses and made estimates regarding computationally networked urbanism and big data-driven decision-making  ...  Findings As a data-driven industry, smart cities concentrate on the design, advancement, and arrangement of an evolving kind of cross-platform, service-assimilated technology, outcomes that improve infrastructure  ... 
doi:10.2478/9788395815072-071 fatcat:nhaqkz6th5db3bp6vuft3xpcse

Anchoring AI/Machine Learning on the African Technological Innovation and Investment Table

Gabriel Kabanda, Secretary General, Zimbabwe Academy of Sciences, TREP Building, University of Zimbabwe, Harare, ZIMBABWE
2021 The business & management review: Conference Proceedings  
The sample comprised primary data with 42 variables in a set of 494,020 instances that was analysed using mainly the SNORT open-source software and other Bayesian Network supportive platforms.  ...  A Bayesian Network model for Cybersecurity was developed to guide implementation of future cybersecurity systems in Africa.  ...  that involved the development of a Bayesian Network Model for Cybersecurity using the Snort platform.  ... 
doi:10.24052/bmr/v12nu02/art-07 fatcat:ejt57omxdra6lbmulwrhzkfyrm
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