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11 results for “splitting algorithm”
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Research ArticleOpen accessEvery word in the titleEnhanced Variable Splitting Ratio Algorithm for Effective Load Balancing in MPLS NetworksG. Murugesan, A. M. Natarajan, C. VenkateshFast load balancing is of the highest importance to utilize the resources effectively and improve the performance of the Multi Protocol Label Switching (MPLS) enabled Internet Protocol (IP) networks. Load balancing splits a part of traffic called splitting ratio from the maximum loaded path in to minimum loaded path. One very strong constrain in balancing the load is the tradeoff … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,340 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultipath Adaptive Packet Dispersion for Voice ApplicationsJ. Faritha Banu, V. RamachandranProblem statement: The quality of Voice over IP applications is decided by the main factors like network capacity and technologies such as codec type, Packet Loss Concealment (PLC) and Forward Error Correction (FEC). Approach: In MPLS networks multiple Label Switched Paths (LSP) are established between MPLS ingress and egress nodes to enhance the network performance and QoS for subscribers. To … …Journal of Computer Science, Vol. 8, Issue 4 · 27 Jan 2012 · 7,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backpropagation Neural Network for Splitting IdentifiersAhmed Sabah Ahmed AL-Jumaili, Huda Kadhim Tayyeh, Ruqaia Jawad KadhemSplitting identifiers is a task that has been addressed in the past few years in order to contribute toward improving the Feature Location task. Feature Location aims at determining the exact position of a specific feature within a source code. Several research studies have addressed the process of splitting multi-word identifiers. However, one of the endure gaps that still face … …Journal of Computer Science, Vol. 14, Issue 10 · 31 Oct 2018 · 7,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Sentiment Classification using MLP Network Hybrid with Naive Bayes AlgorithmMohammad Subhi Al-Batah, Shakir Mrayyen, Malek AlzaqebahSentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. Most of the current studies related to this topic focus mainly on English … …Journal of Computer Science, Vol. 14, Issue 8 · 7 Aug 2018 · 9,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Segmentation Using Dynamic Windows and Thresholds for Arabic and English LanguagesYahia Hasan JazyahSegmentation of audio data such as human speech (splitting each word in separate audio file – .WAV file) has been a major concern when working with multimedia such as recordings from radio or TV. The main focus of the segmentation of boundaries of spoken language has been on using energy and zero crossing thresholds for endpoint detection. Errors in endpoint … …Journal of Computer Science, Vol. 14, Issue 4 · 18 Apr 2018 · 7,778 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification Model for Hotspot Occurrences Using Spatial Decision Tree AlgorithmImas Sukaesih Sitanggang, Razali Yaakob, Norwati Mustapha, A. N. AinuddinDeveloping a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because of fires can be avoided. This study describes the application of data mining … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimension Reconstruction of Coronary Artery Tree Using Single-View CineangiogramHassan H. Khalil, Rahmita O.K. Rahmat, D. M. Zamrin et al.Problem statement: Whereas most of the conventional techniques propose using multiview cineangiograms to reconstruct 3D objects this article proposes to integrate a Three Dimension (3D) model of the coronary artery tree using a standard single-view cineangiogram. Splitting the cineangiograms into non-sequenced and different angle views is how the data is supplied in this method. Each single view can be used … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndoor Characterisation using High-Resolution Signal Processing Based on Five-Port Techniques for Signal Input Multiple Output SystemsSmari Mouheddin, Bel hadj Taher JamelProblem statement: The development of wideband mobile communication systems requires a deep knowledge of the characteristics of the indoor mobile radio channel. The characterization of the indoor multi-path propagation structure is important in developing antifading techniques for high-speed digital radio access. The high-resolution of the estimation of the Time of Arrival (ToA) and the Direction of Arrival (DoA) of multi-path … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,684 accessesView PDFCite