@article {737, title = {Urban Rainwater Management and Protection Through Optimization for Multiple Goals}, journal = {Journal of Digital Information Management}, volume = {22}, year = {2024}, month = {06/2024}, pages = {56-62}, type = {Research}, chapter = {56}, abstract = {

With the continuous acceleration of urbanization, urban rainwater management has become an increasingly important issue. In the process of urbanization, the increase in impervious area and insufficient drainage systems have led to an increase in rainwater runoff and a risk of water quality deterioration. This article explores the application of multi-objective optimization in landscape urban rainwater design and defense. Against the backdrop of accelerating urbanization, rainwater management has become an important issue. By introducing multi-objective optimization methods, the aim is to seek a more comprehensive and effective rainwater design solution to address the impact of urbanization on rainwater.

}, doi = {https://doi.org/10.6025/jdim/2024/22/2/56-62}, url = {https://www.dline.info/fpaper/jdim/v22i2/jdimv22i2_2.pdf}, author = {L Yong} } @article {756, title = {Utilization of SAM-based network for developing function approximation}, journal = {Journal of Digital Information Management}, volume = {20}, year = {2022}, month = {12/2022}, pages = {148-155}, type = {Research}, chapter = {148}, abstract = {

We have previously reported progress in developing a multilayer SAM spiking neural network and a training algorithm, suitable for implementation on an FPGA with {\^a}{\texteuro}{\oe}On- Chip Learning{\^a}{\texteuro}. Here we report on utilization of a SAM -based network for continuous function approximation, which to date has proved difficult to achieve on a LIF type spiking neural network, by using a spike coding approach called {\^a}{\texteuro}\~{}NFR-coding{\^a}{\texteuro}{\texttrademark}. We demonstrate {\^a}{\texteuro}{\oe}interpolated XOR{\^a}{\texteuro} and 3-polynominal function approximation of this SAM network in computational experiments. It is demonstrated that the SAM network has the capability to perform these function approximations to high accuracy.

}, doi = {https://doi.org/10.6025/jdim/2022/20/4/148-155}, url = {http://www.dline.info/download.php?sn=3619}, author = {Minoru Motoki and Hirohito Shintani and Kazunori Matsuo and Thomas Martin McGinnity} } @article {644, title = {Uniform Design Research for Maintenance Strategy of Automatic Production Line}, journal = {Transactions on Machine Design}, volume = {6}, year = {2018}, month = {02/2018}, pages = {26-33}, type = {Research}, author = {Guofa Li and Chao Hou and Guofei Liu and Yuhui Jia} } @article {841, title = {Using Temporal Bayesian Networks to Model user Profile Evolution}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2017}, month = {12/2017}, pages = {339-353}, type = {Research}, chapter = {339}, abstract = {

Modeling the user profile can be the first step towards personalization of information search. The user profile refers to his/her interests built across his/her interactions with the information retrieval system. It could be inferred from the recent search history limited to a single search session, during a short period of time to model short term user interests. On the other hand, from the whole search history, to model long term ones stable for a long time. In this paper, we present a personalized information retrieval approach for building and updating the user profile, based on Temporal Bayesian network. The theoretical framework provided by these networks allows better capturing and exploiting the change of user interests over time. Experiments carried out on TREC-1 ad hoc and TREC 2011 session Track collections show that our approach achieves significant improvements over a personalized search approach described in the state of the art and also to a baseline search information process that do not consider the user profile.

}, url = {http://dline.info/fpaper/jdim/v15i6/jdimv15i6_5.pdf}, author = {Farida Achemoukh and Rachid Ahmed-Ouamer} } @article {472, title = {Using temporal Bayesian networks to model user profile evolution}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2017}, note = {Export Date: 22 February 2018}, month = {2017}, pages = {339 - 353}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041072700\&partnerID=40\&md5=46aee7b47be825e91bb8678ff17ee3d5}, author = {Achemoukh, F. and Ahmed-Ouamer, R.} } @article {513, title = {The use of the streaming data transmission from a Web browser to enhance the work efficiency of the contact center operators}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {263 - 268}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991677478\&partnerID=40\&md5=64f220c683cc032b6d2a2a63f73efb87}, author = {Teykhrib, A.P.} } @article {567, title = {Understanding Geographical Space with Big Data: A Network Perspective}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Export Date: 22 February 2018}, month = {2015}, pages = {354 - 360}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959853984\&partnerID=40\&md5=e14d86c5b381ac06445461758f94aef8}, author = {Mao, L. and Zheng, B. and Zhao, G. and Liu, L.} } @article {348, title = {University teachers{\textquoteright} performance appraisals model based on DEA and AHP}, journal = {Journal of Digital Information Management}, volume = {10}, year = {2012}, note = {Export Date: 10 July 2014}, month = {2012}, pages = {332 - 340}, abstract = {The university teachers{\textquoteright} performance appraisals model decides the development of scientific research. And a set of scientific, reasonable and comprehensive model is the premise and foundation to evaluate it. First, this article analyses the domestic and foreign university teachers{\textquoteright} performance appraisals model. Second, it combines the current teachers{\textquoteright} performance appraisals theory and practice research, and discusses the questionnaire suitable for the university teachers{\textquoteright} performance appraisals model in our country. Third, through the questionnaire data analysis, the paper uses factor-analysis-method to screen indexes. Fourth, the paper uses AHP method and calculates the index weights for all levels. Finally, the paper establishes the university teachers{\textquoteright} performance appraisals index model based on DEA.}, keywords = {AHP, Index system, Performance appraisals, Quantization}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870835193\&partnerID=40\&md5=a2b5682b9d4038ce96253a8d99015975}, author = {Bei, W. and Dongsheng, L.} } @article {170, title = {Upper and lower bounds on the pagenumber of the book embedding of the k-ary hypercube}, journal = {Journal of Digital Information Management}, volume = {7}, year = {2009}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, month = {2009}, pages = {30 - 34}, abstract = {Graph embeddings play an important role in interconnection network and VLSI design. Determining the number of layers required to build a VLSI chip is just one of the many areas in which graph embeddings are used. A type of embedding that is helpful in determining the number of layers is a book embedding. We develop upper and lower bounds on the pagenumber of a book embedding of the k-ary hypercube along with an upper bound on the cumulative pagewidth.}, keywords = {Book embedding, Graph embedding, Hypercube}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350635831\&partnerID=40\&md5=91db3d618f5fa9711898a49d98f347a1}, author = {Bettayeb, S. and Hoelzeman, D.} } @article {96, title = {Unsupervised learning aided by clustering and local-global hierarchical analysis in knowledge exploration}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2007}, pages = {237 - 246}, abstract = {Unsupervised learning plays an important role in the Knowlede exploration discovery. The basic task of unsupervised learning is to find latent variablesor relationships in a given dataset wihout any assumed regularities or patterns. In this paper we apply two advanced models, clustering analysis and hierarchial analysis to accomplish unsupervised learning. K-Means clustering presents its strength in large scale clustering. The original data can be pre-processed and the potential variables are targeted. Correlations among these variables are explored in the subsequent sets by Local Global Hierarchial Analysis (LGHA) assisted by three main steps. In the first step, we use a structural approach to find qualititative patterns from the given variables. Then, the second step applies a quantitative based algorithm to find quantitative patterns from those variables. The and last step generated global hybrid patterns by combining the local patterns obtained from the first two steps based on a certain criterion. Both of the K-Means and Local Global Hierarchial Analysis (LGHA) models are applied in experiments with real world longitutional medical datasets.}, keywords = {Hierarchical analysis, K-means clustering, Knowledge exploration, Unsupervised learning}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44949188275\&partnerID=40\&md5=2448112a6f72451c391f1e75cc38eeed}, author = {Zhang, Y. and Orgun, M.A. and Lin, W.} } @article {52, title = {On the use of ontologies for an optimal representation and exploration of the web}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):5Export Date: 10 July 2014}, month = {2006}, pages = {159 - 168}, abstract = {The use and definition of ontology for the representation and the exploration of knowledge are critical issues for approaches dealing with information retrieval. In this paper, we propose a new ontology-based approach for improving the quality, in terms of relevance, of the results obtained when searching documents on the Internet. This is done by a coherent integration of ontologies, Web data and query languages. We propose new data structures built upon ontologies: the WPGraph and the W 3Graph which allow Web data to be modelled. We also discuss the use of ontologies for an efficient exploration of the knowledge contained in our conceptual structures using ASK, a specific query language introduced in this paper. An experimental validation of our approach is proposed through a prototype supporting our innovative framework.}, keywords = {Conceptual structures, Graphs, Ontology, Query language, Web search}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33749389716\&partnerID=40\&md5=2881871777661cd78d3507f448bedc32}, author = {Guelfi, N. and Pruski, C.} } @article {61, title = {User interactions with multimedia repositories using natural language interfaces - OntoNL: An architectural framework and its implementation}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):4Export Date: 10 July 2014}, month = {2006}, pages = {220 - 226}, abstract = {We present a generalized architectural framework for constructing and using natural language interfaces for interactions with multimedia repositories. The system allows the users to specify natural language queries about the multimedia content with rich semantics. It uses an extensive set of methodologies and tools for linguistic processing, and utilizes the MPEG-7 and the domain ontologies to reduce the ambiguities in the natural language and to rank the results. We describe the implementation of this framework for supporting interactions with a multimedia repository, described with the MPEG-7 MDS (Multimedia Description Schemes) structures, that also uses User Profile information for better ranking of the result queries.}, keywords = {MPEG 7, Natural language interface, Ontology, Semantics}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845925229\&partnerID=40\&md5=78be53ce109a805416d2c49e78d10de5}, author = {Karanastasi, A. and Zotos, A. and Christodoulakis, S.} } @article {47, title = {Using BFA with wordnet based model for web retrieval}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2006}, pages = {107 - 111}, abstract = {In the area of information retrieval, the dimension of document vectors plays an important role. We may need to find a few words or concepts, which characterize the document based on its contents, to overcome the problem of the "curse of dimensionality", which makes indexing of high-dimensional data problematic. To do so, we earlier proposed a Wordnet and Wordnet+LSI (Latent Semantic Indexing) based model for dimension reduction. While LSI works on the whole collection, another procedure of feature extraction (and thus dimension reduction) exists, using binary factorization. The procedure is based on the search of attractors in Hopfield-like associative memory. Being applied to textual data the procedure conducted well and even more it showed sensitivity to the context in which the words were used. In this paper, we suggest that the binary factorization may benefit from the Wordnet filtration.}, keywords = {Latent semantic indexing, Ontology, Semantic web, Vector model, Web information retrieval, WordNet}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44649186320\&partnerID=40\&md5=84c389a9e2d0c1be0cd8ecdb6b1534ec}, author = {Sn{\'a}{\v s}el, V. and Moravec, P. and Pokorn{\'y}, J.} }