Published: Jul 1, 2017
Converted to Gold OA:
DOI: 10.4018/IJSITA.20170701.pre
Volume 8
Mohamed Amine Boudia
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DOI: 10.4018/IJSITA.2017070101
Volume 8
Mebarka Yahlali
The objective of this work is to show the importance of bi-inspiration SPAM filtering. To achieve this goal, the author compared two methods: Social bees vs inspiration from the Human Renal. The...
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The objective of this work is to show the importance of bi-inspiration SPAM filtering. To achieve this goal, the author compared two methods: Social bees vs inspiration from the Human Renal. The inspiration is taken from a biological model. Messages are indexed and represented by the n-gram words and characters independent of languages (because message can be received in any language). The results are promising and provide an important way for the use of this model for solving other problems in data mining. The author starts this article with a short introduction where the readers will see the importance of IT security—especially today. The author then explains and experiments on a two original meta-heuristics and explains the natural model and then the artificial model.
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DOI: 10.4018/IJSITA.2017070102
Volume 8
Ahmed Chaouki Lokbani
In this article, the author proposes a new metric of evaluation for automatic summaries of texts. In this case, the adaptation of the F-measure that generates a hybrid method of evaluating an...
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In this article, the author proposes a new metric of evaluation for automatic summaries of texts. In this case, the adaptation of the F-measure that generates a hybrid method of evaluating an automatic summary at the same time as both extrinsic and intrinsic. The article starts by studying the feasibility of adaptation of the F-measure for the evaluation of automatic summarization. After that, the author defines how to calculate the F-measure for a candidate summary. Text is presented with a term vector which can be either a word or a phrase, with a binary-weighted or occurrence. Finally, to determine to the exactitude of evaluation of the F-measure for automatic summarization by extraction calculates correlation with the ROUGE Evaluation.
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DOI: 10.4018/IJSITA.2017070103
Volume 8
Shamik Tiwari
Use of a mobile camera for barcode decoding provides high portability and availability but it requires that the recorded barcode image must be accurate representation of the barcode that is...
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Use of a mobile camera for barcode decoding provides high portability and availability but it requires that the recorded barcode image must be accurate representation of the barcode that is available on the product. Barcode scanning is challenging because images may be degraded due to out-of-focus blur at the time of image acquisition. Therefore, image restoration is essential in making image sharp and useful. In case of blind restoration of such barcode images accurate estimation of out-of-focus blur parameter is highly desirable. In this article, a robust method has been proposed for estimating the radius of out-of-focus blur. Finite discrete ridgelet transform has been used to find the features of the blurred image and a radial basis function neural network is utilized to estimate the radius of out-of-focus blur. The experimental results reveal that proposed method more robust than the existing methods.
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DOI: 10.4018/IJSITA.2017070104
Volume 8
Zakaria Bendaoud, Khadidja Yachba
Maritime transport moves a majority of the goods and global trade around the globe. This mode of transport involves loading and unloading of containers at ports. Upon arrival at a port, the ships...
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Maritime transport moves a majority of the goods and global trade around the globe. This mode of transport involves loading and unloading of containers at ports. Upon arrival at a port, the ships remain inactive during the operations of loading and unloading. The terminal operator receives a schedule indicating the dates of loading and unloading of containers and their locations in the storage areas. Once berthing takes place, ships are unloaded by gantry cranes to the handling area, where the containers are then collected for transfer to storage areas or buffer zones. Container terminals are essential inter-modal interfaces for the worldwide transportation network. An optimal location for a container terminal is very important for the operators and companies as it can minimize the number of unnecessary movements within the storage area and the terminal, which can reduce transportation costs. In this work, the authors propose a container placement problem and a solution approach through a model for decision support that can solved and optimized for the storage space available. In other words, a model that minimizes the total number of unnecessary movements, while respecting the dynamic constraints of space and time.
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MLA
Bendaoud, Zakaria, and Khadidja Yachba. "Towards A Decision Support System for Optimization of Container Placement in a Container Terminal." IJSITA vol.8, no.3 2017: pp.59-72. http://doi.org/10.4018/IJSITA.2017070104
APA
Bendaoud, Z. & Yachba, K. (2017). Towards A Decision Support System for Optimization of Container Placement in a Container Terminal. International Journal of Strategic Information Technology and Applications (IJSITA), 8(3), 59-72. http://doi.org/10.4018/IJSITA.2017070104
Chicago
Bendaoud, Zakaria, and Khadidja Yachba. "Towards A Decision Support System for Optimization of Container Placement in a Container Terminal," International Journal of Strategic Information Technology and Applications (IJSITA) 8, no.3: 59-72. http://doi.org/10.4018/IJSITA.2017070104
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Published: Jul 1, 2017
Converted to Gold OA:
DOI: 10.4018/IJSITA.2017070105
Volume 8
Maha Azabou, Kais Khrouf, Jamel Feki, Chantal Soulé-Dupuy, Nathalie Vallès
The Diamond model is a multidimensional model dedicated to XML document warehouses. It considers structured and unstructured data simultaneously. Furthermore, it orders the semantics of documents...
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The Diamond model is a multidimensional model dedicated to XML document warehouses. It considers structured and unstructured data simultaneously. Furthermore, it orders the semantics of documents via a specific semantic dimension linked to conventional dimensions, thus breaking the classical orthogonality rule of dimensions. After giving an overview of their three-phase quasi-automatic approach for the generation of the diamond model, the authors focus on the Diamond-Gen software tool that supports the proposed approach. The authors illustrate the Diamond-Gen functionalities and assess it through an experimental study using a set of 1500 XML documents issued from the PubMed collection.
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MLA
Azabou, Maha, et al. "Yet Another Multidimensional Model for XML Documents." IJSITA vol.8, no.3 2017: pp.73-90. http://doi.org/10.4018/IJSITA.2017070105
APA
Azabou, M., Khrouf, K., Feki, J., Soulé-Dupuy, C., & Vallès, N. (2017). Yet Another Multidimensional Model for XML Documents. International Journal of Strategic Information Technology and Applications (IJSITA), 8(3), 73-90. http://doi.org/10.4018/IJSITA.2017070105
Chicago
Azabou, Maha, et al. "Yet Another Multidimensional Model for XML Documents," International Journal of Strategic Information Technology and Applications (IJSITA) 8, no.3: 73-90. http://doi.org/10.4018/IJSITA.2017070105
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Published: Jul 1, 2017
Converted to Gold OA:
DOI: 10.4018/IJSITA.2017070106
Volume 8
Lehireche Nesrine, Malki Mimoun, Lehireche Ahmed, Reda Mohamed Hamou
The purpose of the semantic web goes well beyond a simple provision of raw data: it is a matter of linking data together. This data meshing approach, called linked data (LD), refers to a set of best...
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The purpose of the semantic web goes well beyond a simple provision of raw data: it is a matter of linking data together. This data meshing approach, called linked data (LD), refers to a set of best practices for publishing and interlinking data on the web. Due to its principles, a new context appeared called linked enterprise data (LED). The LED is the application of linked data to the information system of the enterprise to answer all the challenge of an IS, in order to have an agile and performing System. Where internal data sources link to external data, with easy access to information in performing time. This article focuses on using the LED to support the challenges of database integration and state-of-the-art for mapping RDB to RDF based on LD. Then, the authors introduce a proposition for on demand extract transform load (ETL) of RDB to RDF mapping using algorithms. Finally, the authors present a conclusion and discussion for their perspectives to implement the solution.
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MLA
Nesrine, Lehireche, et al. "On Demand ETL of RDB to RDF Mapping for Linked Enterprise Data." IJSITA vol.8, no.3 2017: pp.91-100. http://doi.org/10.4018/IJSITA.2017070106
APA
Nesrine, L., Mimoun, M., Ahmed, L., & Hamou, R. M. (2017). On Demand ETL of RDB to RDF Mapping for Linked Enterprise Data. International Journal of Strategic Information Technology and Applications (IJSITA), 8(3), 91-100. http://doi.org/10.4018/IJSITA.2017070106
Chicago
Nesrine, Lehireche, et al. "On Demand ETL of RDB to RDF Mapping for Linked Enterprise Data," International Journal of Strategic Information Technology and Applications (IJSITA) 8, no.3: 91-100. http://doi.org/10.4018/IJSITA.2017070106
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