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125 results for “Multiple Rate”
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Research ArticleOpen accessIn the abstractMAI Cancellation in DS/CDMA using a new Approach on WDSY. Jabrane, R. Iqdour, B. Ait Es said, N. NajaThe steeping chip weighting waveforms are used in Multiple Access Interference cancellation by emphasizing the received spreading signal, therefore, that allows to solve the problem of orthogonality for the chip waveforms. The goal of this study was to elaborate a useful method based on fuzzy systems to determine the despreading sequences weighted by the steeping chip weighting waveforms for Direct … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,887 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Characterization of Al Bond Pad Surface Treatment in Electroless Nickel Immersion Gold (ENIG) DepositionM.K. Md Arshad, A. Jalar, I. Ahmad, G. OmarThis study reports a number of experiments that were designed to characterize aluminum bond pad surfaces prior to electroless nickel immersion gold (ENIG). In the ENIG process, aluminum bond pads need special treatment to achieve successful nickel deposition and provide reliable interconnection of under bump metallurgy in advanced packaging. During this treatment process, the aluminum pad was cleaned, activated and … …American Journal of Applied Sciences, Vol. 4, Issue 3 · 31 Mar 2007 · 7,728 accessesView PDFCite
Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-Lebdehin 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 23 Oct 2018 · 7,470 accessesView PDFCite
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 abstractDesign and Analysis of Virtual Bus Transport Using Synchronous Digital Hierarchy/Synchronous Optical NetworkingR. Hassan, J. Irvine, I. GloverThis study presented a new data link layer design for the virtual bus architecture. The virtual bus is a hierarchical access network offered a broadcast capability for data and signaling. The proposed of the study is to support Quality of Service (QoS) in network. During study, the most promising technology capable of delivering full service access at high data rates … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2009 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrophysical Properties of Soils as Indicators of the Hydrological Role of Rudny Altai ForestsAndrey Kalachev, Tamara Burenina, Stanislav Rogovsky et al.The hydrophysical properties of soils and parent rock are key factors shaping forest hydrological functioning, as they influence multiple runoff components. This study assessed the effects of forest stand composition on soil moisture and water permeability between 2021 and 2023 in the middle mountain-taiga zone of the Rudny Altai, within the Zhuravlikha River basin, a tributary of the Irtysh River. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 24 Mar 2026 · 1,322 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating Campylobacter Spp. in Mekong Delta Duck Farms: Prevalence, Risk Factors, and Antibiotic ResistanceNguyen Vu Thuy Hong Loan, Le Trung Kien, Do Ngoc Yen Phuong et al.Campylobacter spp. is a leading cause of gastroenteritis worldwide, contributing to significant health and economic burdens, especially in poor hygiene practices. Investigating this bacterium's prevalence and antibiotic resistance in ducks from the Mekong Delta is essential, as the region's extensive duck farming industry presents a potential risk for transmission to humans through the food chain. During August 2024 to February … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 8 Feb 2026 · 1,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting Composite Valve Covers for Reciprocating Engine ApplicationsPeng Hao Wang, Natalie ZimmermannThe use of composites within the aeronautical field is not limited to airframe applications and includes powerplant components in reciprocating engines. To add to the research body in this area, the presented work aimed to evaluate the performance of novel carbon fiber valve covers installed on an aircraft reciprocating engine. Specifically, the comparative performance between novel composite-based valve covers and … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 12 Aug 2022 · 5,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti Resources and Constraints Based Consolidation Model to Mitigate the Energy ExtravaganceArchana Patil, Rekha PatilTo design green clouds with optimal energy and resource consumption, the host consolidation process became the most prominent cloud management policy today. In case of a consolidation, the underloaded host's VMs are shifted to the other hosts to control the energy extravagance at a data center. The consolidation process is considered an NP-hard problem, as it depends on several computational … …Journal of Computer Science, Vol. 18, Issue 7 · 28 Jul 2022 · 5,870 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosing Alzheimer’s Disease using Convolution Neural NetworksSarita, Saurabh Mukherjee, Tanupriya Choudhury et al.Alzheimer’s is a disease wherein constant degeneration of neurons and their synapses result in impaired brain functioning which leads to personality changes, memory loss, thinking and speech disorder. So, there is a requirement of an automated and early diagnosis of this disease to decrease the death rate. The proposed work is coupled with deep learning techniques to predict the Alzheimer’s … …Journal of Computer Science, Vol. 18, Issue 2 · 21 Feb 2022 · 7,350 accessesView PDFCite