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ISSN: 1690-4524
Indexed by
EBSCO, Cabell, DOAJ (Directory of Open Access Journals), and Google Scholar
Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory
Full versions of all published articles are permanently archived in WebCite
www.WebCitation.org
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Low-energy Scheduling Algorithms for Wearable Fall Pre-impact Detection System
M.N. Nyan, Francis E.H. Tay, D Guo, L Xu, K.L. Yap, L.K. Goh, B Veeravalli
(pages: 1-7)
A Project-Centric Course on Cyberinfrastructure to Support High School STEM Education
Daphne Rainey, Jason Gibson, Stephen Cammer, Julie Schulman, Betsy Tretola, Oswald Crasta
(pages: 8-13)
A Biomedical Computation Revealed that an Extra-Systolic Heartbeat Exhibits a
Lower Scaling Exponent: DFA as a Beneficial Biomedical Tool
Toru Yazawa, Tomoo Katsuyama
(pages: 14-18)
Complete Platform for Remote Health Management
Bozena Kaminska, Yindar Chuo, Marcin Marzencki, Benny Hung, Camille Jaggernauth, Kouhyar Tavakolian, Philip Lin
(pages: 19-24)
The Prediction of Tertiary Structure of RNA Based upon Secondary Structure by
Using the Relaxation Method and Texture Mapping Method
C.C. Lin, R.C.T. Lee
(pages: 25-33)
Delivering Chronic Heart Failure Telemanagement via Multiple
Interactive Platforms
Joseph Finkelstein, Jeffrey Wood
(pages: 34-39)
Quantifying Stability Using Frequency Domain Data from Wireless Inertial Measurement Units
Stephen Slaughter, Rachel Hales, Cheryl Hinze, Catherine Pfeiffer
(pages: 40-43)
Chaotic Inertia Weight Particle Swarm Optimization for PCR
Primer Design
Cheng-Huei Yang, Yu-Huei Cheng, Li-Yeh Chuang, Cheng-Hong Yang
(pages: 44-49)
Effect of Excess Gravitational Force on Cultured Myotubes in Vitro
Shigehiro Hashimoto, Haruka Hino, Takeshi Iwagawa
(pages: 50-57)
GEGEINTOOL: A Computer-Based Tool for Automated Analysis of
Gene-Gene Interactions in Large Epidemiological Studies in
Cardiovascular Genomics
Oscar Coltell, José M. Ordovás, Carmen Saiz, Manuel Forner, Francisco Gabriel, Dolores Corella
(pages: 58-61)
In vitro and in silico Approaches to the Identification of New Compounds
with Antibacterial Profile
Carlos R. Rodrigues, Bruno Leal, Kely N. De Oliveira, Ariane S. S. R. Ferreira, Alice Bernardino, Ricardo J. Nunes, Vitor Ferreira, Maria C. De Souza, Anna C. Cunha, Helena C. Castro
(pages: 62-65)
Analysis of CR1 Repeats in the Zebra Finch Genome
George E. Liu, Yali Hou, Twain Brown
(pages: 66-71)
Meta-Classification of Multi-Gene Data
with Alternative Feature Mapping
Victor C. Liang, Vincent T. Y. Ng
(pages: 72-77)
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ABSTRACT |
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A Hybrid Data Compression Scheme for Improved VNC
Xiaozheng (Jane) Zhang, Hirofumi Takahashi
Virtual Network Computing (VNC) has emerged as a promising technology in distributed computing environment since its invention in the late nineties. Successful application of VNC requires rapid data transfer from one machine to another over a TCP/IP network connection. However transfer of screen data consumes much network bandwidth and current data encoding schemes for VNC are far from being ideal. This paper seeks to improve screen data compression techniques to enable VNC over slow connections and present a reasonable speed and image quality.
In this paper, a hybrid technique is proposed for improving coding efficiency. The algorithm first divides a screen image into pre-defined regions and applies encoding schemes to each area according to the region characteristics. Second, correlation of screen data in consecutive frames is exploited where multiple occurrences of similar image contents are detected. The improved results are demonstrated in a dynamic environment with various screen image types and desktop manipulation.
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