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Research ArticleOpen accessEvery word in the titleTracking Pointer and Look Ahead Matching Strategy to Evaluate Iceberg Driven QueryKale Sarika Prakash, P.M. Joe PrathapIceberg driven query is important and common in many applications of data mining and data warehousing. Main property of iceberg driven query is it extracts small set of data from huge database. It works on aggregation function followed by GROUP BY and HAVING clause. Due to involvement of aggregation function execution of iceberg driven query becomes tedious and complex work. … …Journal of Computer Science, Vol. 13, Issue 3 · 17 Apr 2017 · 7,296 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimal Bidding Strategies for a Small Generation Company in a Day-Ahead Electricity Market with Bilateral Contracts Taken into AccountAzmi Saleh, Takao Tsuji, Tsutomu OyamaProblem Statement: Deregulation power systems have been force to change their structures, from vertically integrated to open market systems. Each generation company (Genco) is required to compete with rivals through bidding in a pool market and making a bilateral contract with a distribution company (Disco) or consumers to maximize its own profits. A unit commitment becomes responsible for each Genco … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,708 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into AccountAzmi Saleh, Takao Tsuji, Tsutomu OyamaProblem statement: In a competitive electricity market with limited number of producers, Generation Companies (Gencos) is facing an oligopoly market rather than a perfect competition. Under oligopoly market environment, each Genco may increase its own profit through a favorable bidding strategy. The objective of a Genco is to maximize its profit and minimize the associated risk. In order to achieve … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,233 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of a 32-Bit Multiplier with a Carry-Look-Ahead Adder and a 32-bit Multiplier with a Ripple Adder using VHDLHasan Krad, Aws Y. Al-TaieThis study presents a performance analysis of two different multipliers for unsigned data, one uses a carry-look-ahead adder and the second one uses a ripple adder. The study's main focus is on the speed of the multiplication operation on these 32-bit multipliers which are modeled using VHDL, A hardware description language. The multiplier with a carry-look-ahead adder has shown a … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,385 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHardware Modeling of Binary Coded Decimal Adder in Field Programmable Gate ArrayMuhammad Ibn Ibrahimy, Rezwanul Ahsan, Iksannurazmi Bambang SoerosoThere are insignificant relevant research works available which are involved with the Field Programmable Gate Array (FPGA) based hardware implementation of Binary Coded Decimal (BCD) adder. This is because, the FPGA based hardware realization is quiet new and still developing field of research. The article illustrates the design and hardware modeling of a BCD adder. Among the types of adders, … …American Journal of Applied Sciences, Vol. 10, Issue 5 · 28 May 2013 · 6,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Thermal Pollution on the Black Flies of the Irtysh River in KazakhstanAkhmetov Kanat, Orazbekova Aigerim, Shaimardanov Zhasulan et al.The article describes the impact of thermal pollution of water of the river Irtysh, in its middle reaches, by water used in the technological process of Aksu SRPP Teplaya tributary (Pavlodar region, Republic of Kazakhstan). The temperature of the water coming out of the Aksu SRPP is 4-6 degrees higher which accounts for 18 degrees in mid-May to 23 degrees … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 4 Dec 2024 · 4,857 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Analysis of Topic Modeling on People Query-Based DataSaranya M, Amutha BAs using the internet becomes more common in our daily lives, Perhaps greater numbers of individuals are buying things digitally. Specialized digital marketplaces for things like clothes and books have turned into megastores with many stores. This makes it harder to find what you're looking for and takes more time. The query's data content is estimated ahead of time from … …Journal of Computer Science, Vol. 20, Issue 12 · 19 Nov 2024 · 4,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Assessment of Survival Rate of Artemia franciscana in Salt Waterbodies of Kazakhstan and Coexistence Possibility with the Local Species Artemia parthenogeneticaMoldir Aubakirova, Arailym Umirtayeva et al.The use of low-productive salt waterbodies for artemia production and increasing their productivity is a topical issue due to demands for Artemia cysts. One of the best representatives of Artemia, which will increase the productivity and value of low-productive salt waterbodies is Artemia franciscana. In this regard, the topically applied task is the experimental assessment of the survival rate of … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 30 Jul 2024 · 4,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,700 accessesView PDFCite