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160 results for “sensor network”
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Research ArticleOpen accessIn the abstractBuffer Pocketing and Pre-Checking on Buffer UtilizationK. Saravanan, R. M. SureshProblem statement: In this study, the paper proposes the development of Effective Buffer Utilization on Adaptive Router with Buffer Pocketing and Pre-Buffer Checking Technique. Network-on-Chip could be prepared more capable by tricky faster routers. By using improved buffers, superior number of ports and channels, adaptive routing, all of which acquire key of overheads in hardware costs. Approach: This technique will … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Density Based Dynamic Data Clustering Algorithm based on Incremental DatasetS. Angel Latha Mary, K.R. Shankar KumarProblem statement: Clustering and visualizing high-dimensional dynamic data is a challenging problem. Most of the existing clustering algorithms are based on the static statistical relationship among data. Dynamic clustering is a mechanism to adopt and discover clusters in real time environments. There are many applications such as incremental data mining in data warehousing applications, sensor network, which relies on dynamic … …Journal of Computer Science, Vol. 8, Issue 5 · 20 Feb 2012 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards an Integrated Intrusion Detection Monitoring in High Speed NetworksHassen SallayProblem statement: Security Management has become a critical aspect for large scale distributed systems. Particularly, recent Distributed Intrusion Detection Systems (DIDS) schemes in High Speed Networks (HSN) have raised new serious management problems and challenges. Increasing the effectiveness of IDS monitoring is primordial to satisfy the restrictive constraints in such large multi-domains environment for narrow context of HSN. Approach: We … …Journal of Computer Science, Vol. 7, Issue 7 · 30 Jun 2011 · 6,560 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandomness Analysis on Lightweight Block Cipher, PRESENTIsma Norshahila Binti Mohammad Shah, Eddie Shahril Bin IsmailLightweight cryptography is an area of current research conducted by academicians and cryptographic experts to ensure the security of data in limited-resource devices such as RFID tags, medical and health care devices and sensor networks. One of the lightweight algorithms built is the PRESENT algorithm. To this day, PRESENT has been a reference for lightweight block cipher algorithms and is … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 6,889 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Compression Algorithms Using Intensity Based Adaptive Quantization CodingSaad Al-Azawi, Said Boussakta, Alex YakovlevProblem statement: Low complexity image compression algorithms are necessary for modern portable devices such as mobile phones, wireless sensor networks and high constraint power consumption devices. In such applications low bit rate along with an acceptable image quality are an essential requirements. Approach: This study proposes low and moderate complexity algorithms for colour image compression. Two algorithms will be presented; … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 18 Jan 2012 · 8,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,967 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Scalable Big Data Framework for Real-Time Traffic Monitoring SystemWilfried Yves Hamilton Adoni, Najib Ben Aoun et al.Inthis study, a scalable and real-time intelligent transportation system based ona big data framework is presented. The proposed system allows for the use ofexisting data from road sensors to better understand traffic flow, and travelerbehavior and increase road network performance. Our transportation system isdesigned to process large-scale stream data to analyze traffic events such asincidents, crashes, and congestion. The experiments … …Journal of Computer Science, Vol. 18, Issue 9 · 7 Sep 2022 · 6,791 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordIntegrating Data Mining Methods Across all Domains of a Smart CityRushit Dave, Nuo Xu, Simon Arneberg et al.As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that uses a large amount of generated data to constantly improve the services offered to the people that live there. Data mining techniques can be … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 7,075 accessesView PDFCite