ppxscal/embedding_network huggingface dataset:
Understanding the Impact of Interference on Collaborative Relays
Authors: Yan Zhu, Haitao Zheng
Venue: IEEE Transactions on Mobile Computing (2008)

Collaborative relays achieve the benefits of spatial diversity without requiring any physical antenna arrays at wireless devices. While many studies have demonstrated its effectiveness in a single source-destination system, applying cooperative relays to large-scale wireless networks remains challenging. We show that a system with cooperative relays can be penalized by the extra level of interference it produces. By examining the inter-dependency between interference management and cooperative relay strategies, we model the penalty by an increase in spectrum resource usage, and translate it into a penalty of single-link performance. This penalty serves as a reference for cooperative relay design in a single-link scenario. We then present two practical spectrum allocation mechanisms for collaborative relay systems with different fairness and utilization tradeoffs. Simulation results confirm our analytically findings.
Agile parallel applications
Authors: R. J. Anthony
Venue: International Journal of Computer Mathematics (2007)

Non-dedicated loosely coupled systems are popular platforms for cluster-and grid-based parallel processing, fundamentally because they have good cost-performance ratios and are scalable. However, these platforms represent highly dynamic environments in which performance and efficiency can be seriously impacted by changes in environmental conditions. This is especially significant where the run-time configuration has been determined statically, either at compilation time or at the start of execution. This paper introduces the concept of agile parallel processing in which the application manages several aspects of its own run-time behaviour, including deployment granularity. This approach reduces the emphasis on the preconfiguration of components, and relies instead on inbuilt learning and discovery capabilities. To facilitate investigation into the extent to which a self-managing approach can be beneficial to parallel processing, an experimental framework has been developed. The framework provides a range of services such as dynamic worker discovery and performance calibration, and policy-controlled facilities such as resource management and adaptation to suit environmental conditions. The framework integrates these services with the parallel application code. The operation and performance of policy-based dynamic deployment scheduling in dynamic environments is analysed in detail.
Exact asymptotics of small deviations for a stationary Ornstein-Uhlenbeck process and some Gaussian diffusion processes in the Lp-norm, 2 ≤ p ≤ ∞
Authors: V. R. Fatalov
Venue: Problems of Information Transmission (2008)

We prove results on exact asymptotics of the probabilities $$ P\left\{ {\int\limits_0^1 {\left| {\eta (t)} \right|^p dt \leqslant \varepsilon ^p } } \right\},\varepsilon \to 0, $$ where 2 ¿ p ¿ ¿, for two types of Gaussian processes ¿(t), namely, a stationary Ornstein-Uhlenbeck process and a Gaussian diffusion process satisfying the stochastic differential equation $$ \left\{ \begin{gathered} dZ(t) = dw(t) + g(t)Z(t)dt,t \in [0,1], \hfill \\ Z(0) = 0. \hfill \\ \end{gathered} \right. $$ Derivation of the results is based on the principle of comparison with a Wiener process and Girsanov's absolute continuity theorem.
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Venue: ACM International Conference Proceeding Series; Vol. 309 (2007)

The MOBILEHCI series provides a forum for academics and practitioners to discuss the challenges and potential solutions for effective interaction with mobile systems and services. It covers the design, evaluation and application of techniques and approaches for all mobile and wearable computing devices and services.
Efficient modeling and inference for event-related fMRI data
Authors: Chunming Zhang, Yuefeng Lu, Tom Johnstone, Terry Oakes, Richard J. Davidson
Venue: Computational Statistics Data Analysis (2008)

Event-related functional magnetic resonance imaging (efMRI) has emerged as a powerful technique for detecting brains' responses to presented stimuli. A primary goal in efMRI data analysis is to estimate the Hemodynamic Response Function (HRF) and to locate activated regions in human brains when specific tasks are performed. This paper develops new methodologies that are important improvements not only to parametric but also to nonparametric estimation and hypothesis testing of the HRF. First, an effective and computationally fast scheme for estimating the error covariance matrix for efMRI is proposed. Second, methodologies for estimation and hypothesis testing of the HRF are developed. Simulations support the effectiveness of our proposed methods. When applied to an efMRI dataset from an emotional control study, our method reveals more meaningful findings than the popular methods offered by AFNI and FSL.
Gaining Flexibility and Performance of Computing Using Tailored Instruction Set and Reconfigurable Architecture
Authors: Tian Hangpei, Gao Deyuan, Zhu Yian, Wang Deli, Wang Jing
Venue: Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (2008)

As data transfer rates become higher, general processor is not competent for works with high computing intensity in wireless communication area. The other hand, existing baseband processors lack adaptive ability to support new applications and newer versions of existing application. Thus the paper puts forward a novel architecture of reconfigurable stream processor along with application-specific instruction set for software radio. The main goal of the processor is to point out an effective way to designing hardware of software radio with high computational performance and adaptive ability. We achieve this by analyzing multi-stream modalities of advanced wireless communication standards, such as 3G and WLAN. Simulation results show that the processor with powerful calculational capability can adapt to applications of wireless communication area easily.
Interconnection of CAN segments through IEEE 802.16 wireless MAN
Authors: Ibrahim Ozcelik
Venue: Journal of Network and Computer Applications (2008)

The Controller Area Network (CAN) is a high-performance and highly reliable advanced serial communication protocol, which efficiently supports distributed real-time control. CAN-based distributed control systems have generally two main problems that are the size of distributed area and the need for communication with other LANs and with remote CAN segments. A straightforward solution is to use internetworking devices with wireless support to extend CAN segments. In this paper, a new solution to interconnect CAN segments is proposed, which uses a wireless MAN based on the IEEE 802.16 standard as a backbone system. Also, the solution describing a model for internetworking unit integrates the traffic generated by CAN segments into IEEE 802.16 wireless MAN using encapsulation technique.
Extraction of Residual Information in the Microsoft PowerPoint file from the Viewpoint of Digital Forensics considering PerCom Environment
Authors: JungHeum Park, Bora Park, SangJin Lee, SeokHie Hong, Jong Hyuk Park
Venue: Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (2008)

Electronic documents made by some application (e.g. Microsoft PowerPoint application) have traces of work like editing, and these traces exist in the format of electronic documents. In digital forensic investigation, examiners have failed to notice traces of past work. It is because of that the traces of the past work cannot be identified by its application easily. However, identifying traces of the past work is important for digital forensic investigation because this data can be essential information which is created by culprit’s intention not appeared in electronic document.This paper focuses on analyzing the Microsoft PowerPoint application (version 97 ~ 2003) which has the feature that it has traces of past work. In case of Microsoft PowerPoint file, it is possible to identify traces of past work by analyzing saving algorithm of application. To detect the traces automatically, PRIX (PPT Residual Information eXtractor) tool is developed.
Combining multiple specialists' opinions with cellular automata to improve medical decision making
Authors: Petra Povalej, Mitja Lenič, Peter Kokol
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

In the recent years intelligent systems proved to be a useful and successful tool which has often been used for decision support, data mining and knowledge discovery in medicine. The ability of decision support systems enabling early and accurate diagnosing of various diseases is of vital importance in all fields of medicine. Data mining and knowledge discovery enable to prove existing hypothesis or to generate new ones - thus they in longer term support the advancement of medicine as a scientific discipline and as a consequence developing new treatment, prediction and diagnosing methods directly helping clinicians. However, in many cases the proposed treatment, prediction or diagnose can differ from one intelligent system to another as in real world where different medical specialists can have different opinions. Even more often, specialists' opinions complement one another and joined together form better solution. This paper presents a novel idea for combining different specialists' opinions in a form of intelligent systems with a purpose to improve the accuracy of final decision. We empirically show that self-organization ability and voting of classification cellular automata together with many various methods for classifier construction used to cover as many different aspect of a problem as possible, can be used to improve a search for an optimal solution.
Environmental Monitoring Based on Emerging Wireless Technologies
Authors: P. Mariño, F. P. Fontán, M. A. Domínguez, S. Otero
Venue: Proceedings of the Fourth International Conference on Networking and Services (2008)

Biological research in agriculture needs a lot of specialized electronic sensors in order to fulfill different goals, like as: climate monitoring, soil and fruit assessment, control of insects and diseases, chemical pollutants, identification and control of weeds, crop tracking, and so on. That research must be supported by consistent biological models able to simulate diverse environmental conditions, in order to predict the right human actions before risky biological damage could be irreversible. In this paper is described an experimental distributed network based on climatic an biological wireless sensors, for providing real measurements in order to validate different biological models used for viticulture applications. Firstly is introduced the experimental network for field automatic data acquisition, as a system based in a distributed process. Following, the design of the wireless network is explained in detail, with a previous discussion about the state-of-the-art, and some measurements for viticulture research are pointed out. Finally future developments are stated.
Timing-Aware Multiple-Delay-Fault Diagnosis
Authors: Vishal J. Mehta, Malgorzata Marek-Sadowska, Kun-Han Tsai, Janusz Rajski
Venue: Proceedings of the 9th international symposium on Quality Electronic Design (2008)

With feature sizes steadily shrinking, manufacturing defects and parameter variations often cause design timing failures. It is essential that these errors be correctly and quickly diagnosed. In this paper, we analyze the multiple-delay fault diagnosis problem and propose a novel, simulation-based approach to solve it. We enhance the diagnostic resolution by processing failure logs at various slower-than-nominal clock frequencies. We experimentally determined our diagnosis algorithm’s sensitivity to delay variations.
Stability of a streamline diffusion finite element method for turning point problems
Authors: Long Chen, Yonggang Wang, Jinbiao Wu
Venue: Journal of Computational and Applied Mathematics (2008)

A one-dimensional singularly perturbed problem with a boundary turning point is considered in this paper. Let V^h be the linear finite element space on a suitable grid T"h. A variant of streamline diffusion finite element method is proved to be almost uniform stable in the sense that the numerical approximation u"h satisfies @?u-u"h@?"~=
Conditional correlation analysis for safe region-based memory management
Authors: Xi Wang, Zhilei Xu, Xuezheng Liu, Zhenyu Guo, Xiaoge Wang, Zheng Zhang
Venue: ACM SIGPLAN Notices (2008)

Region-based memory management is a popular scheme in systems software for better organization and performance. In the scheme, a developer constructs a hierarchy of regions of different lifetimes and allocates objects in regions. When the developer deletes a region, the runtime will recursively delete all its subregions and simultaneously reclaim objects in the regions. The developer must construct a consistent placement of objects in regions; otherwise, if a region that contains pointers to other regions is not always deleted before pointees, an inconsistency will surface and cause dangling pointers, which may lead to either crashes or leaks. This paper presents a static analysis tool RegionWiz that can find such lifetime inconsistencies in large C programs using regions. The tool is based on an analysis framework that generalizes the relations and constraints over regions and objects as conditional correlations. This framework allows a succinct formalization of consistency rules for region lifetimes, preserving memory safety and avoiding dangling pointers. RegionWiz uses these consistency rules to implement an efficient static analysis to compute the conditional correlation and reason about region lifetime consistency; the analysis is based on a context-sensitive, field-sensitive pointer analysis with heap cloning. Experiments with applying RegionWiz to six real-world software packages (including the RC compiler, Apache web server, and Subversion version control system) with two different region-based memory management interfaces show that RegionWiz can reason about region lifetime consistency in large C programs. The experiments also show that RegionWiz can find several previously unknown inconsistency bugs in these packages.
Automatic Colonic Polyp Detection by the Mapping Using Regional Unit Sphere
Authors: M. Park, S. J. Jin, R. Hofstetter, M. Xu, B. H. Kang
Venue: Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (2008)

Colonic polyps appear like elliptical protrusions on the inner wall of the colon. The many proposed algorithms assumed the shape of a polyp as a spherical cap, so the algorithms are not flexible when the polyps are irregular shapes. In this paper, we propose a mapping using regional unit sphere (MuRUS) method to overcome the problem caused by unexpected polyp shapes. The MuRUS has shape invariant and size invariant properties. Our method was applied to colon CT images from 37 patients each having a prone and supine scan. There are 45 colonscopically confirmed polyps. The results obtained by our algorithm were compared with those gold standards. 100% of polyps >= 10mm in diameter were detected, 90% of polyps >= 6mm in diameter were detected and 70% of polyps
Fuzzy color quantization and its application in content-based image retrieval
Authors: Masoud Saeed, Hossein Nezamabadi-Pour
Venue: Proceedings of the 2nd WSEAS International Conference on Circuits, Systems, Signal and Telecommunications (2008)

A fuzzy approach to color quantization and its application in content-based image indexing and retrieval is presented in this paper. There are some drawbacks associated with traditional color histogram such as color quantization. The goal in this paper is to develop an effective method to overcome several limitations, which are related to traditional color histogram. In the proposed method, fuzzy logic is used to quantize color space and apply it in color histogram construction. The objective is to eliminate error quantization effect that causes poor results due to varying lighting conditions and gamma nonlinearity effect. Experimental results on a database of 1000 images are reported.
EUDOC on the IBM Blue Gene/L system: accelerating the transfer of drug discoveries from laboratory to patient
Authors: Y.-P. Pang, T. J. Mullins, B. A. Swartz, J. S. McAllister, B. E. Smith, C. J. Archer, R. G. Musselman, A. E. Peters, B. P. Wallenfelt, K. W. Pinnow
Venue: IBM Journal of Research and Development (2008)

EUDOC™ is a molecular docking program that has successfully helped to identify new drug leads. This virtual screening (VS) tool identifies drug candidates by computationally testing the binding of these drugs to biologically important protein targets. This approach can reduce the research time required of biochemists, accelerating the identification of therapeutically useful drugs and helping to transfer discoveries from the laboratory to the patient. Migration of the EUDOC application code to the IBM Blue Gene/L™ (BG/L) supercomputer has been highly successful. This migration led to a 200-fold improvement in elapsed time for a representative VS application benchmark. Three focus areas provided benefits. First, we enhanced the performance of serial code through application redesign, hand-tuning, and increased usage of SIMD (single-instruction, multiple-data) floating-point unit operations. Second, we studied computational load-balancing schemes to maximize processor utilization and application scalability for the massively parallel architecture of the BG/L system. Third, we greatly enhanced system I/O interaction design. We also identified and resolved severe performance bottlenecks, allowing for efficient performance on more than 4,000 processors. This paper describes specific improvements in each of the areas of focus.
Foot Step Based Person Identification Using Histogram Similarity and Wavelet Decomposition
Authors: Ahmed Mostayed, Sikyung Kim, Mohammad Mynuddin Gani Mazumder, Se Jin Park
Venue: Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008) (2008)

In recent years research in person identification and authentication has attracted significant attention from the researchers and scientists. This paper presents a biometric user authentication based on a person’s foot step. The advantage of this recognition method over other types of biometrics is that it enables unobtrusive user authentication where other types of biometrics are not available. Firstly the ground reaction force data was extracted using force plate to gather ground reaction force for individuals. Later we utilized the discrete wavelet transform to de-noise the experimental data and in the final step, histograms were used to identify different person’s foot step. The experimental results show improvements in identification accuracies compared to previously reported work.
Throughput-competitive on-line routing
Authors: B. Awerbuch
Venue: Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science (1993)

We develop a framework that allows us to address the issues of admission control and routing in high-speed networks under the restriction that once a call is admitted and routed, it has to proceed to completion and no reroutings are allowed. The "no rerouting" restriction appears in all the proposals for future high-speed networks and stems from current hardware limitations, in particular the fact that the bandwidth-delay product of the newly developed optical communication links far exceeds the buffer capacity of the network. In case the goal is to maximize the throughput, our framework yields an on-line O(log nT)-competitive strategy, where n is the number of nodes in the network and T is the maximum call duration. In other words, our strategy results in throughput that is within O(log nT) factor of the highest possible throughput achievable by an omniscient algorithm that knows all of the requests in advance. Moreover, we show that no on-line strategy can achieve a better competitive ratio. Our framework leads to competitive strategies applicable in several more general settings. Extensions include assigning each connection an associated "profit" that represents the importance of this connection, and addressing the issue of call-establishment costs.
Designing Personal Robots for Education: Hardware, Software, and Curriculum
Authors: Tucker Balch, Jay Summet, Doug Blank, Deepak Kumar, Mark Guzdial, Keith O'Hara, Daniel Walker, Monica Sweat, Gaurav Gupta, Stewart Tansley, Jared Jackson, Mansi Gupta, Marwa Nur Muhammad, Shikha Prashad, Natasha Eilbert, Ashley Gavin
Venue: IEEE Pervasive Computing (2008)

We describe a curriculum, robot and textbook aimed at providing a new, compelling means for introducing computer science to undergraduates.
OpenID identity discovery with XRI and XRDS
Authors: Drummond Reed, Les Chasen, William Tan
Venue: Proceedings of the 7th symposium on Identity and trust on the Internet (2008)

The work examines the identity discovery problems that needed to be addressed by the OpenID 2.0 protocol in order to enable a user-centric Internet identity layer. The paper illustrates how the OASIS XRI and XRDS specifications were applied to help solve these identity discovery challenges. The work also considers interoperable identity discovery for other Internet identity frameworks such as SAML, Information Cards, and the Higgins Project, and recommends future work.
Cognitive radio network architecture: part II -- trusted network layer structure
Authors: K.-C. Chen, Y.-J. Peng, N. Prasad, Y.-C. Liang, S. Sun
Venue: Proceedings of the 2nd international conference on Ubiquitous information management and communication (2008)

Cognitive radios shall form cognitive radio network (CRN) to complete the packets delivery. As cognitive radio network is a general multihop wireless heterogeneous network, trust becomes a critical factor for network layer functions and network operation. We explore and develop the mathematical framework of trust in CRN, to further develop trusted routing with relevant explorations on network layer and above functions.
Fuzzy one-class support vector machines
Authors: Pei-Yi Hao
Venue: Fuzzy Sets and Systems (2008)

In one-class classification, the problem is to distinguish one class of data from the rest of the feature space. It is important in many applications where one of the classes is characterized well, while no measurements are available for the other class. Scholkopf et al. first introduced a method of adapting the support vector machine (SVM) methodology to the one-class classification problem, called one-class SVM. In this paper, we incorporate the concept of fuzzy set theory into the one-class SVM. We apply a fuzzy membership to each input point and reformulate the one-class SVM such that different input points can make different contributions to the learning of decision surface. Besides, the parameters to be identified in one-class SVM, such as the components within the weight vector and the bias term, are fuzzy numbers. This integration preserves the benefits of SVM learning theory and fuzzy set theory, where the SVM learning theory characterizes the properties of learning machines which enable them to effectively generalize the unseen data and the fuzzy set theory might be very useful for finding a fuzzy structure in an evaluation system.