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Research ArticleOpen accessIn the abstractPreliminary Studies Aimed at the Re-Opening of Pestarena Gold Mine (North-Western Alps, Italy)Andrea Giuliani, Giuseppe Mandrone, Piergiorgio RossettiGold, among all conventional metals subject to a progressive increase in value in the international market, has jumped powerfully into the spotlight during all economic crises. This contingency led to reconsider the dismissing process of some Italian mining sites and in particular at Pestarena- in the Anzasca Valley near Macugnaga (NW Alps) -the most important historical gold mine in the … …American Journal of Environmental Sciences, Vol. 11, Issue 3 · 1 Sep 2015 · 7,959 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamical System of Flat ElectroencephalographyTan Lit Ken, Tahir bin Ahmad, Mohd Sham bin Mohamad, Su Kong NgienFlat EEG is a way of viewing electroencephalography signals on the real plane. The wealth of information contained within makes it a great platform to study epileptic seizure. In this study, the time embedment nature of Flat EEG is exploited to establish a dynamic Flat EEG model. Basically, a geometrical representation which displays the important information visually for Flat EEG … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 21 Aug 2015 · 6,604 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicroscopic Study of the Lungs of Sprague-Dawley Rats from Various Ages of Postnatal and Aging PeriodsRia Margiana, Isabella Kurnia Liem, Jeanne Adiwinata PawitanPhysiological changes in postnatal and aging lung are associated with a variety of microscopic changes in the lung, especially the alveolar lung tissue, both in the interstitial and epithelial component. Interstitial tissue of the lung will increase in thickness that is supposed to be due to changes in fiber composition, particularly collagen. However, the exact changes are still under debate … …OnLine Journal of Biological Sciences, Vol. 15, Issue 2 · 13 Jun 2015 · 7,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating PowerWorld and MatLab for Optimal Dispatch and Unit Commitment Study of Competitive Electric Power MarketsDong Zhang, Shuhui LiThe transition to competitive wholesale and retail markets for electric utilities around the world has been a difficult and controversial process. One of the difficulties that hindered the development and growth of the competitive wholesale power market is the absence of efficient computational tools to assist the design, analysis and operation of a competitive power market. PowerWorld simulator is an … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 23 May 2015 · 7,855 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 · 8,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE VOCALIZATION MECHANISM OF THE FLORIDA MANATEE (TRICHECHUS MANATUS LATIROSTRIS)Charles J. Grossman, Richard E. Hamilton, Martine De Wit et al.The mechanism by which Florida manatees produce vocalizations is unknown. Anatomically, the laryngeal region in manatees lacks clearly defined vocal folds. Initially we developed a method to visualize the entire manatee upper respiratory system. We then forced air through fresh necropsied manatee larynxes and generated artificial vocalizations which closely duplicated the normal vocalizations produced by live manatees, both in fundamental … …OnLine Journal of Biological Sciences, Vol. 14, Issue 2 · 25 Jun 2014 · 8,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractSIMULATED ANNEALING APPROACH TO COST-BASED MULTI- QUALITY OF SERVICE JOB SCHEDULING IN CLOUD COMPUTING ENVIROMENTMonir Abdullah, Mohamed OthmanCloud computing environments facilitate applications by providing visualized resources that can be provisioned dynamically. The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 18 Mar 2014 · 7,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSISMd. Ashad Alam, Kenji FukumizuIn kernel methods, choosing a suitable kernel is indispensable for favorable results. No well-founded methods, however, have been established in general for unsupervised learning. We focus on kernel Principal Component Analysis (kernel PCA), which is a nonlinear extension of principal component analysis and has been used electively for extracting nonlinear features and reducing dimensionality. As a kernel method, kernel PCA … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,426 accessesView PDFCite
Research ArticleOpen accessIn the abstractFACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHMSenthilSingh, ManikandanThe face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 16 Jan 2014 · 6,974 accessesView PDFCite