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Displaying 1-31 out of 31 total
A Genetic Algorithm for Optimal 3-Connected Telecommunication Network Designs
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Runhe Huang, Jianhua Ma, D. Frank Hsu
Issue Date:December 1997
pp. 344
In this paper, a genetic algorithm for three connected telecommunication network designs is proposed. The genetic algorithm uses a new approach to solution representation, in which constraints such as diameter and connectivity constraints can be easily enc...
 
Three-Dimensional Layout of On-Chip Tree-Based Networks
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Hiroki Matsutani, Michihiro Koibuchi, D. Frank Hsu, Hideharu Amano
Issue Date:May 2008
pp. 281-288
Three-dimensional Network-on-Chip (3-D NoC) is an emerging research area exploring the network architecture of 3-D ICs that stack several smaller wafers or dice for reducing wire length and wire delay. Various network topologies such as meshes, tori, and t...
 
Efficient Routing and Sorting Schemes for de Bruijn Networks
Found in: IEEE Transactions on Parallel and Distributed Systems
By D. Frank Hsu, David S.L. Wei
Issue Date:November 1997
pp. 1157-1170
<p><b>Abstract</b>—We consider the problems of routing and sorting on a de Bruijn network. First, we show that any deterministic oblivious routing scheme for permutation routing on a <it>d</it>-ary de Bruijn network with N = d...
 
Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity
Found in: Advanced Information Networking and Applications, International Conference on
By Hongzhi Liu,Zhonghai Wu,D. Frank Hsu
Issue Date:March 2012
pp. 167-174
Combining multiple retrieval systems is a commonly used method to improve the retrieval performance. However, it is still a challenging problem to figure out when and how the combined system can perform better than its individual systems. In this paper, we...
 
Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function
Found in: Computational Science and Engineering, IEEE International Conference on
By Hongzhi Liu,Zhonghai Wu,D. Frank Hsu
Issue Date:August 2011
pp. 371-378
Combining the resulting lists of multiple information retrieval (IR) systems has been known to outperform, in many cases, the best of the individual systems. However, it remains a challenging question to know what combination method to use and in what cond...
 
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Christina Schweikert, Yanjun Li, David Dayya, David Yens, Martin Torrents, D. Frank Hsu
Issue Date:June 2009
pp. 400-404
The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been investigated. An area of focus is the affect of exposure to neurotoxins, such as ...
 
Combinatorial Fusion Criteria for Robot Mapping
Found in: Advanced Information Networking and Applications, International Conference on
By Damian M. Lyons, D. Frank Hsu, Qiang Ma, Liang Wang
Issue Date:May 2007
pp. 847-852
We address the problem of sensor fusion for stereo and ultrasound depth measurements for map building for a robot operating in a cluttered environment. In such a situation it?s difficult to make useful and realistic assumptions about the sensor or environm...
 
Combinatorial Fusion Criteria for Real-Time Tracking
Found in: Advanced Information Networking and Applications, International Conference on
By D. Frank Hsu, Damian M. Lyons, Jizhou Ai
Issue Date:April 2006
pp. 831-838
We address the problem of automated video tracking of targets when targets undergo multiple mutual occlusions. Our approach is based on the idea that as targets are occluded, selection of feature subsets and combinations of those features are effective in ...
 
Feature Selection and Combination Criteria for Improving Predictive Accuracy in Protein Structure Classification
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Chun Yuan Lin, Ken-Li Lin, Chuen-Der Huang, Hsiu-Ming Chang, Chiao Yun Yang, Chin-Teng Lin, Chuan Yi Tang, D. Frank Hsu
Issue Date:October 2005
pp. 311-315
The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and the features selected. In this paper, w...
 
Corrigendum to
Found in: IEEE Transactions on Computers
By Ding-Zhu Du, D. Frank Hsu, Yuh-Dauh Lyuu
Issue Date:July 1996
pp. 863
No summary available.
 
Graph Containers, Information Delay, and Network Vulnerability
Found in: Advanced Information Networking and Applications, International Conference on
By D. Frank Hsu
Issue Date:March 2004
pp. 16
We compare three kinds of information networks arising from Artificial Engineering Systems (AES'), Biological and Neural Systems (BNS'). Graphical Modeling Systems (GMS') are then used to define the concept of a
 
Mutually Independent Hamiltonianicity of Pancake Graphs and Star Graphs
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Cheng-Kuan Lin, Jimmy J. M. Tan, Hua-Min Huang, D. Frank Hsu, Lih-Hsing Hsu
Issue Date:May 2008
pp. 151-158
A hamiltonian cycle C of a graph G is described as ?u1, u2, . . . , un(G), u1? to emphasize the order of vertices in C. Thus, u1 is the start vertex and ui is the i-th vertex in C. Two hamiltonian cycles of G start at a vertex x, C1 = ?u1, u2, . . . , un(G...
 
A Study of Data Fusion in Cayley Graphs G(S{n}, P{n})
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By D. Frank Hsu, Andrew Palumbo
Issue Date:May 2004
pp. 557
In this paper, we examine a method for the fusion of ranked data in the context of a Cayley graph. We investigate this Cayley graph model for optimization of fusion by rank combination. We outline a method of data fusion by combination of weighted rankings...
 
Compact Genetic Algorithm for Performance Improvement in Hierarchical Sensor Networks Management
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Ming-Hui Jin, Win-Zing Li, D. Frank Hsu, Cheng-Yan Kao
Issue Date:December 2005
pp. 406-413
This paper introduces a novel scheduling problem called the active interval scheduling problem in hierarchical wireless sensor networks for long-term periodical monitoring applications. To improve the report sensitivity of the hierarchical wireless sensor ...
 
Justice Informatics: Improving Knowledge Discovery for the Justice System
Found in: IT Professional
By Edward M. Stroz,D. Frank Hsu
Issue Date:September 2012
pp. 47-52
A deeper connection between the field of informatics and the justice system could empower lawyers and judges as they explore documentary evidence with enhanced knowledge-discovery tools and techniques.
 
Simulating an Automated System (SAS) for Merging Medical Vocabularies
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Dan Tisher, Ray Alsaber, Kuan-Tsae Huang, D. Frank Hsu
Issue Date:December 2009
pp. 373-379
Controlled medical vocabularies are important constructs employed to regulate information for the intention of forming, storing, communicating, searching, and analyzing medical data electronically. Designers of medical informatics applications need control...
 
Genetic Information Gathering System (GIGS): A New Meta-search Network Tool
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Andrea Sturm, Cameron McMunn-Coffran, D. Frank Hsu, Kuan-Tsae Huang
Issue Date:December 2009
pp. 369-372
The Genetic Information Gathering System is a new database created to bring together medical and Biological information. This search tool allows users to query a disease and receive information on the disease genotype and phenotype, plus associated images,...
 
Microarray Gene Expression Analysis Using Combinatorial Fusion
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Cameron McMunn-Coffran, Christina Schweikert, D. Frank Hsu
Issue Date:June 2009
pp. 410-414
Microarray technology is a popular and informative technique widely used in experimental molecular biology, which can produce quantitative expression measurements for thousands of genes in a single cellular mRNA sample. Analysis methods for determining sig...
 
Sensor Network Design and Implementation for Health Telecare and Diagnosis Assistance Applications
Found in: Parallel and Distributed Systems, International Conference on
By Ming-Hui Jin, Ren-Guey Lee, Cheng-Yan Kao, You-Rui Wu, Wu4,D. Frank Hsu, Tse-Ping Dong, Kuan-Tsae Huang
Issue Date:July 2005
pp. 407-411
<p>Attempts to develop a ubiquitous health care monitoring system arisen from the need of automatic real-time medical services for emergent diseases. Besides, the physiological statuses gathered and maintained by this system are very helpful for diag...
 
Distributed Path-Based Inference in Semantic Networks
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Chain-Wu Lee, Laurence Tianruo Yang, Chun-Hsi Huang, Sanguthevar Rajasekaran, D. Frank Hsu
Issue Date:May 2004
pp. 232
This paper introduces the task model, instruction set, (path-based) reasoning scheme, software infrastructure, as well as the experimental results on a SUN multiprocessing machine, of a new distributed semantic network system. The experiments demonstrate s...
 
Fault Tolerance Properties of Pyramid Networks
Found in: IEEE Transactions on Computers
By Feng Cao, Ding-Zhu Du, D. Frank Hsu, Shang-hua Teng
Issue Date:January 1999
pp. 88-93
<p><b>Abstract</b>—In this paper, we study the pyramid network (also called pyramid), one of the important architectures in parallel computing, network computing, and image processing. Some properties of pyramid networks are investigated....
 
Combining Agent-Based Models with Stochastic Differential Equations for Gene Regulatory Networks
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Tse-Yi Wang, Kuang-Chi Chen, D. Frank Hsu, Cheng-Yan Kao
Issue Date:June 2009
pp. 405-409
Mathematical models in systems biology can use quantitative techniques to study the integrated behaviors of biological systems in macro level. Agent-based modeling provides a qualitative framework, focusing on how each individual molecule behaves in micro ...
 
Fat H-Tree: A Cost-Efficient Tree-Based On-Chip Network
Found in: IEEE Transactions on Parallel and Distributed Systems
By Hiroki Matsutani, Michihiro Koibuchi, Yutaka Yamada, D. Frank Hsu, Hideharu Amano
Issue Date:August 2009
pp. 1126-1141
The topological explorations of on-chip networks are important for efficiently using their enormous wire resources for low-latency and high-throughput communications using a modest silicon budget. In this paper, we propose a novel tree-based interconnectio...
 
On the Relationships Among Various Diversity Measures in Multiple Classifier Systems
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Yun-Sheng Chung, D. Frank Hsu, Chuan Yi Tang
Issue Date:May 2008
pp. 184-190
Classifier ensembles have been shown to outperform single classifier systems. An apparent necessary condition for ensembles to out?perform single systems is that the classifier systems exhibit a reasonable degree of
 
Network-based resource allocation for Grid Computing within an SLA context
Found in: Grid and Cloud Computing, International Conference on
By Dang Minh Quan, D. Frank Hsu
Issue Date:October 2006
pp. 274-280
Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing. Among many system components for supporting of SLA-aware Grid jobs, the SLA mapping mechanism receives important positions. It is responsible for assigning su...
 
A Dynamic Pruning and Feature Selection Strategy for Real-Time Tracking
Found in: Advanced Information Networking and Applications, International Conference on
By D. Frank Hsu, Damian M. Lyons
Issue Date:March 2005
pp. 117-124
Automated video tracking is useful in a number of applications such as surveillance, multisensor networks, robotics and virtual reality. In this paper we investigate an approach to tracking based on fusing the output of a collection of video trackers, each...
 
Combination Methods in Microarray Analysis
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Han-Yu Chuang, Hongfang Liu, Fang-An Chen, Cheng-Yan Kao, D. Frank Hsu
Issue Date:May 2004
pp. 625
Microarray technology and experiment can produce thousands or tens of thousands of gene expression measurement in a single cellular mRNA sample. Selecting a list of informative differential genes from these measurement data has been the central problem for...
 
Identifying Significant Genes from Microarray Data
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Han-Yu Chuang, Hongfang Liu, Stuart Brown, Cameron McMunn-Coffran, Cheng-Yan Kao, D. Frank Hsu
Issue Date:May 2004
pp. 358
Microarray technology is a recent development in experimental molecular biology which can produce quantitative expression measurements for thousands of genes in a single, cellular mRNA sample. These many gene expression measurements form a composite profil...
 
A Distributed Environment for Hypercube Computing
Found in: Parallel Algorithms / Architecture Synthesis, AIZU International Symposium on
By Jung-Sing Jwo, Shi-Sen Chang, Yi-Cheng Chen, D. Frank Hsu
Issue Date:March 1997
pp. 256
In this paper we propose a distributed computing environment, namely, Virtual-Cube (VC), to support arbitrarily large binary hypercube computing on a cluster of homogeneous workstations that are interconnected by ethernet LAN. The embedding concept between...
 
A case for random shortcut topologies for HPC interconnects
Found in: Proceedings of the 39th Annual International Symposium on Computer Architecture (ISCA '12)
By D. Frank Hsu, Henri Casanova, Hideharu Amano, Hiroki Matsutani, Michihiro Koibuchi
Issue Date:June 2012
pp. 177-188
As the scales of parallel applications and platforms increase the negative impact of communication latencies on performance becomes large. Fortunately, modern High Performance Computing (HPC) systems can exploit low-latency topologies of high-radix switche...
     
Compact genetic algorithm for active interval scheduling in hierarchical sensor networks
Found in: Proceedings of the 2005 conference on Genetic and evolutionary computation (GECCO '05)
By Cheng-Yan Kao, Chih-Kung Lee, D. Frank Hsu, Ming-Hui Jin, Ren-Guey Lee, Yu-Cheng Huang
Issue Date:June 2005
pp. 2205-2206
This paper introduces a novel scheduling problem called the active interval scheduling problem in hierarchical wireless sensor networks for long-term periodical monitoring applications. To improve the report sensitivity of the hierarchical wireless sensor ...
     
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