Research ArticleOpen accessIn the abstractVision-Based Obstacle Avoidance of Mobile Robot Using Quantized Spatial ModelSalaheddin Odeh, Rasha Faqeh, Laila Abu Eid, Nihal ShamasnehProblem statement: Problem of moving a robot through unknown environment has attracted much attention over past two decades. Such problems have several difficulties and complexities that are unobserved, besides the ambiguity of how this can be achieved since a robot may encounter obstacles of all forms that must be bypassed in an intelligent manner. This research had been aimed to … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 8,053 accessesView PDFCite
Research ArticleOpen accessIn the abstractUrbanization Effect on Air Temperature in Iran's Zayanderud River BasinAli Zahraei, Sara Saadati, Saeid Eslamian et al.: Detection of urbanization effect to understand climate change is important. Urbanization effect on air temperature in Zayanderud river basin was evaluated using weather stations network. Map of the temperature trend was generated using full dataset and rural stations to visualize warming trends. A comparative analysis was carried out to estimate urban heat island effect. The result indicated that overall … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 11 May 2018 · 8,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallelisation of Algorithms of Mathematical MorphologyAbdallah Boukerram, Samira A.K. AzzouThe tools of mathematical morphology developed within the framework of the image processing, require of big capacity of data and the very high costs of execution. So today, the limits of the sequential machines are not to be any more to show, the passage in the new parallel machines of type Simd, Mimd, clusters or grids is imperative. This paper … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,237 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAlgorithm for Compressing/Decompressing Sudoku GridsZhivko Nedev, Murtala Adamu Zungeru, Suykhun Khov et al.We describe a way to transfer efficiently Sudoku grids through the Internet. This is done by using linearization together with compression and decompression that use the information structure present in all sudoku grids. The compression and the corresponding decompression are based on the fact that in each Sudoku grid there are information dependencies and so some of the information is … …Journal of Computer Science, Vol. 16, Issue 9 · 3 Oct 2020 · 6,872 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFeasibility Study on Solar Power Plant Utility Grid under Malaysia Feed-in TariffM. Pauzi M. Kassim, Karam M. Al-Obaidi, M. Arkam C. Munaaim, Abd. Mokhti SallehIn Perlis, Northern Malaysia, a solar power plant with an energy capacity of 5 MWp began selling energy to Tenaga Nasional Berhad in January 2013. Upon obtaining Feed-in Tariff approval from the Sustainable Energy Department Authority of Malaysia, the power plant will produce energy with a Feed-in Tariff of RM 0.874 for every kWh for 21 years according to the … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 2 · 27 May 2015 · 8,989 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordJob Type Approach for Deciding Job Scheduling in Grid Computing SystemsAsef AL-Khateeb, Rosni Abdullah, Nur’Aini Abdul RashidProblem statement: Meta-scheduling has become very important due to the increased number of submitted jobs for execution. Approach: We considered the job type in the scheduling decision that was not considered previously. Each job can be categorized into two types namely, data-intensive and computational-intensive in a specific ratio. Job ratio reflected the exact level of the job type in two … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,829 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordConvSVD++: A Hybrid Deep CF Recommender Model using Convolutional Neural NetworkMohamed Grida, Lamiaa Fayed, Mohamed HassanRecommender systems are powerful systems that give added value to business and corporation. They are relatively recent technology and they will only keep improving in the future. The most widely used algorithms for recommender systems are categorized into the traditional recommender and deep-based recommender system. The traditional recommendation algorithm suffers from sparse data that significantly degrades recommendation accuracy. The hybrid … …Journal of Computer Science, Vol. 16, Issue 12 · 13 Jan 2021 · 6,731 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordShort Text Mining: State of the Art and Research OpportunitiesMohamed Grida, Hasnaa Soliman, Mohamed HassanWith the growing number of connected online users producing a tremendous amount of unstructured short-texts daily, understanding and mining these data becomes very useful for individuals, governments and companies for identifying the public users’ attitudes towards different entities, such as products, services, events, places, organizations and topics. However, analyzing these short-texts using traditional methods becomes a significant challenge due to … …Journal of Computer Science, Vol. 15, Issue 10 · 13 Oct 2019 · 8,091 accessesView PDFCite