EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractScorpius: sFlow Network Anomaly SimulatorMarcos V.O. de Assis, Mario Lemes Proença Jr.Due to the increasing amount of data traveling computer networks every day, efficient management of this information is required to ensure the quality of the services provided by them. Development of new network management tools and mechanisms is a widely approached area due to its importance, not only to the current technology, but also to next generation network standards and … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 7,534 accessesView PDFCite
Research ArticleOpen accessIn the abstractA REVIEW OF PEER-TO-PEER BOTNET DETECTION TECHNIQUESMohammed Jamil Elhalabi, Selvakumar Manickam, Loai Bani Melhim et al.In recent years, Peer-to-Peer technology has an extensive use. Botnets have exploited this technology efficiently and introduced the P2P botnet, which uses P2P network for remote control of its bots and become one of the most significant threats to computer networks. They are used to make DDOS attacks, generate spam, click fraud and steal sensitive information. Compared with traditional botnets, … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,597 accessesView PDFCite
Research ArticleOpen accessIn the abstractA REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEMSutarman, Mazlina Abdul Majid, Jasni Mohamad ZainSign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: … …Journal of Computer Science, Vol. 9, Issue 11 · 27 Sep 2013 · 8,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralization of Dijkstra’s Algorithm for Extraction of Shortest Paths in Directed MultigraphsBashir Alam, Siddhartha Sankar Biswas, M. N. DojaThe classical Dijkstra’s algorithm to find the shortest path in graphs is not applicable to multigraphs. In this study the authors generalize the classical Dijkstra’s algorithm to make it applicable to directed multigraphs. The modified algorithm is called by Generalized Dijkstra’s algorithm or GD Algorithm (GDA in short). The GDA outputs the shortest paths and the corresponding min cost. It … …Journal of Computer Science, Vol. 9, Issue 3 · 29 Apr 2013 · 7,468 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Framework of Intelligent Telepresence Robot Based on Stereo VisionWidodo Budiharto, Muchsin Shodiq, Bayu Kanigoro, HutomoThis research reports and presents a BeeBot, BINUS multi-client intelligent telepresence robot, a custom-build robot system specifically designed for teleconference with multiple people. The robot is controlled using computer networks, so the manager/supervisor can direct the robot to the intended person to start a discussion/inspection. People tracking and autonomous navigation are intelligent features of this robot using stereo vision. We … …Journal of Computer Science, Vol. 8, Issue 12 · 1 Jan 2013 · 6,840 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractClose Range Photogrammetry and Neural Network for Facial RecognitionRami Al-Ruzouq, Shatha KadhimRecently, there has been an increasing interest in utilizing imagery in different fields such as archaeology, architecture, mechanical inspection and biometric identifiers where face recognition considered as one of the most important physiological characteristics that is related to the shape and geometry of the faces and used for identification and verification of a person's identity. In this study, close range … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Distributed Intrusion Detection System Based on Mobile Agents with Fault ToleranceR. Sasikumar, D. ManjulaProblem statement: In earlier days, each and every individual system has particular IDS to the particular system and due to this particular technique there are many drawbacks and much more drawbacks in the system side networks. “All processes used in discovery of unauthorized uses of network or computer devices” Detection of unusual and abnormal activity/events in real-time. Detects break-ins or … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Attack Detection Rate in Network Intrusion Detection using Adaboost AlgorithmP. Natesan, P. Balasubramanie, G. GowrisonProblem statement: Nowadays, the Internet plays an important role in communication between people. To ensure a secure communication between two parties, we need a security system to detect the attacks very effectively. Network intrusion detection serves as a major system to work with other security system to protect the computer networks. Approach: In this article, an Adaboost algorithm for network … …Journal of Computer Science, Vol. 8, Issue 7 · 16 May 2012 · 7,465 accessesView PDFCite