Research ArticleOpen accessIn the abstractUse of the Chi-square Test to Determine Significance of Cumulative Antibiogram DataRocco J. Perla, James CarifioAn important function of a hospital’s Infectious Disease and Pharmacy programs is to review and compare the most recent antibiogram with that of the previous year to determine if significant changes in antibiotic susceptibility results are noted and to communicate this information and its consequences to the medical staff. However, there are currently no formal analytical (decision-making) models in use … …American Journal of Infectious Diseases, Vol. 1, Issue 4 · 31 Dec 2005 · 7,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntroducing Song Form Intelligence into Streaming AudioKevin CurranWhen receiving streaming media over a low bandwidth wireless connection, users can experience not only packet losses but also extended service interruptions. These dropouts can last for as long as 15 sec. During this time no packets are received and if not addressed, these dropped packets cause unacceptable interruptions in the audio stream. A long dropout of this kind may … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,572 accessesView PDFCite
Literature ReviewOpen accessIn the abstractSurvey and Comparison of Operating Concept for Routing Protocols in DTNKawakib K. Ahmed, Mohd Hasbullah Omar, Suhaidi HassanDelay Tolerant Network (DTN) are promising techniques to enable data transmission in challenging scenarios where sophisticated infrastructure is not available and the end-to-end path does not exist at the moment of data transmission. These networks are characterized by a long delay, intermittent connectivity and high error rates. Furthermore, the dynamic topology of the network may change randomly. Therefore, routing is … …Journal of Computer Science, Vol. 12, Issue 3 · 23 Apr 2016 · 7,362 accessesView PDFCite
Research ArticleOpen accessIn the abstractNON-COOPERATIVE IRIS RECOGNITION: A NOVEL APPROACH FOR SEGMENTATION AND FAKE IDENTIFICATIONM. Rajeev Kumar, M. Dilsath Fathima, K. Kiruthika, M. S. SaravananIris recognition, the ability to recognize and distinguish individuals by their pattern, is the most reliable biometric in terms of recognition and identification performance. However, performance of these systems is affected by the heterogeneous images (regarding focus, contrast, or brightness) and with several noise factors (iris obstruction and reflection) when the cooperation is not expectable from the subject. Current Iris … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Biometrics using Feature FusionK. Krishneswari, S. ArumugamProblem statement: Biometric is a unique, measurable physiological or behavioral characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometric for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter Estimation for the Double Pareto DistributionFaris M. Al-AthariProblem statement: The double Pareto distribution appeared most often as model for variety of fields, including archaeology, biology, economics, environmental science, finance and physics. The distribution exhibits Paretian power-law behavior in both tails. The family of double Pareto distributions has recently been proposed for modeling growth rates such as annual gross domestic product, stock prices, foreign currency exchange rates and … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 28 Oct 2011 · 8,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractAcoustic Model Adaptation for Indonesian Language Utterance Training SystemLinda Indrayanti, Yoshifumi Chisaki, Tsuyoshi UsagawaProblem statement: In order to build an utterance training system for Indonesian language, a speech recognition system designed for Indonesian is necessary. However, the system hardly works well due to the pronunciation variants of non-native utterances may lead to substitution/deletion error. This research investigated the pronunciation variant and proposes acoustic model adaptation to improve performance of the system. Approach: The … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractIris Recognition Using Discrete Cosine Transform and Artificial Neural NetworksAhmad M. SarhanProblem statement: The study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,751 accessesView PDFCite