ppxscal/embedding_network huggingface dataset:
iExec Enterprise Essentials Companion Guide, 1 edition
Authors: Martha Young, Michael Jude
Venue:  (2008)

iExec Enterprise Essentials Companion Guide is the official print companion to the Cisco Entrepreneur Institutes new iExec Enterprise Essentials curriculuminnovative IT-related business education designed to help you transform organizations through the strategic use of IT and Internet applications. Working through a realistic, start-to-finish case study, youll learn exactly how to use technology to help businesses enhance their processes and drive sustainable competitive advantage. Organized to fully align with the courses online curriculum, this is the only authorized iExec textbook. Youll begin by reviewing the global trends, opportunities, and strategic imperatives that now drive ITs usage. Next, youll discover IT-enabled business strategies that increase productivity, efficiency, innovation, and profitability and learn how to trans-form any organization into an agile, high-performance Networked Virtual Organization (NVO). Through hands-on practice, youll learn how to assess and improve organizational readiness, enhance governance, Internet-enable internal and external processes, use portfolio management to plan business-driven IT investments, manage change, and more. Martha L. Young, president and founder of Nova Amber, LLC, has more than 19 years of experience in the technology market, working and consulting with Fortune 500 companies such as Lockheed Martin and Coors Brewing Company. She holds a B.S. in international business from the University of Colorado. Michael Jude, Ph.D., manages accounts for leading management solution vendors. He has more than 20 years of experience in telecommunications, as well as a Ph.D. in decision science from Walden University and an M.S. in engineering management and a B.S. in electrical engineering from the University of Colorado. Young and Jude are co-authors of The Case for Virtual Business Processes (Cisco Press). Master every topic and concept in the new Cisco Entrepreneur Institutes iExec Enterprise Essentials curriculum Understand the global trends and business drivers behind todays investments in IT and Internet technologies Build Networked Virtual Organizations that respond more quickly to customers, collaborate better with partners on value-added activities, and reduce cost by standardizing processes, data, and infrastructure Perform external and internal situation analysis, create an e-vision for success, and build an effective business case Implement strategic planning and portfolio management to create a successful Internet-enabled business roadmap Prioritize opportunities for process improvement using the Internet and IT Identify change management techniques that can reduce your risksCategory: Computers and NetworkingCovers: Network Technology
Asymptotics of the rung-type contrast structure for a class of variational problems
Authors: Ming Kang Ni
Venue: Automation and Remote Control (2008)

Consideration was given to a class of simplest variational problems with fixed ends where the derivative is involved in the small-parameter integrant. For the solution with internal transient layer of the "rung" type, an asymptotics was constructed and the existence conditions were established.
Analysing memory resource bounds for low-level programs
Authors: Wei-Ngan Chin, Huu Hai Nguyen, Corneliu Popeea, Shengchao Qin
Venue: Proceedings of the 7th international symposium on Memory management (2008)

Embedded systems are becoming more widely used but these systems are often resource constrained. Programming models for these systems should take into formal consideration resources such as stack and heap. In this paper, we show how memory resource bounds can be inferred for assembly-level programs. Our inference process captures the memory needs of each method in terms of the symbolic values of its parameters. For better precision, we infer path-sensitive information through a novel guarded expression format. Our current proposal relies on a Presburger solver to capture memory requirements symbolically, and to perform fixpoint analysis for loops and recursion. Apart from safety in memory adequacy, our proposal can provide estimate on memory costs for embedded devices and improve performance via fewer runtime checks against memory bound.
Using the DC3 forensic challenge as a basis for a special topics digital forensics upper level undergraduate course
Authors: David Collins, Timothy McGuire
Venue: Journal of Computing Sciences in Colleges (2008)

The DC3 (Defense Cybercrime Unit) issues an annual forensic challenge to law enforcement, corporations, and universities. This challenge includes a packet of individual computer forensics related problem sets including data recovery from damaged media, password cracking (zip archives and Microsoft Word documents for example), image analysis (real versus CGI for example), and steganography to name a few from the 2007 challenge. After attending the 2006 conference, the Center of Excellence in Digital Forensics at Sam Houston State University implemented a pilot special topics course so that students might participate in this challenge, gain valuable research and development experience, and possibly solve the problem set.
Analysis of Glitch Reconvergence in Combinational Logic SER Estimation
Authors: Liu Biwei, Chen Shuming, Hu Xiao
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

Much effort has been made to estimate SER (Soft error rate) in combinational logic. However, little of them involve glitch reconvergence. In this paper, we discuss how to estimate SER in combinational logic when considering reconvergence. We present Boolean difference expressions for the sensitization condition of six reconvergence categories so that symbolic technique can be used to compute logical masking of reconvergence. We develop an equivalent glitch method so that STA (Static Timing Analysis) like pre-characterization method can be applied to compute electrical masking of reconvergence. Furthermore, latching window masking of reconvergence is discussed. Experiment results of ISCAS’85 benchmark circuit show that considering of reconvergence will cause overall 13.9% SER reduction. The time and memory cost of our method is moderate. And the average error of our method is 3.3% relative to SPICE.
A Tool for Finding Possible Explanation for Adverse Drug Reactions Through Drug and Drug Target Interactions
Authors: Shih-Fang Lin, Ke-Ting Xiao, Yu-Ting Huang, Von-Wun Soo
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

Adverse drug reaction (ADR) is big challenge in drug development process. The US Food and Drug Administration (FDA) collects a lot of ADR report cases. We develop a tool which integrates drug and drug target knowledge bases and builds up drug target networks whose topological analysis can reveal drug interaction complexity for every ADR report in FDA. We classify drugs using Anatomical Therapeutic Chemical Classification (ATC) code and drug targets using Drug Target Ontology (DTO). This tool can help not only the analysis and prediction on ADRs cases but also the drug target assessment in the early drug discovery process.
The design methodology of Phoenix cluster system software stack
Authors: Jianfeng Zhan, Lei Wang, Bibo Tu, Hui Wang, Zhihong Zhang, Yi Jin, Yu Wen, Yuansheng Chen, Peng Wang, Bizhu Qiu, Dan Meng, Ninghui Sun
Venue: Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China: solution approaches to impediments for high performance computing (2007)

Though many research groups have explored the design methodology of cluster system software stack, few works discuss what constitutes a good one. In this paper, we choose four criteria throughout the lifecycle of cluster system software stack to evaluate its design methodology, including code reusability, evolveability, adaptability and manageability. According to the four criteria, we have proposed a management service-based layered design methodology and built a complete cluster system software stack for both scientific and business computing. Our practices and evaluations show our design methodology has advantages over others in terms of the proposed criteria.
An Efficient March-Based Three-Phase Fault Location and Full Diagnosis Algorithm for Realistic Two-Operation Dynamic Faults in Random Access Memories
Authors: Gurgen Harutunyan, Valery Vardanian, Yervant Zorian
Venue: Proceedings of the 26th IEEE VLSI Test Symposium (2008)

Previously, a minimal algorithm of length 70N, N is the number of memory bits, was proposed for a subclass of dynamic faults. In this paper, a March-based fault location and full diagnosis algorithm of complexity 88N+29 is proposed for the same subclass of dynamic faults in bit-oriented SRAMs.
Compiler driven data layout optimization for regular/irregular array access patterns
Authors: Doosan Cho, Sudeep Pasricha, Ilya Issenin, Nikil Dutt, Yunheung Paek, SunJun Ko
Venue: ACM SIGPLAN Notices (2008)

Embedded multimedia applications consist of regular and irregular memory access patterns. Particularly, irregular pattern are not amenable to static analysis for extraction of access patterns, and thus prevent efficient use of a Scratch Pad Memory (SPM) hierarchy for performance and energy improvements. To resolve this, we present a compiler strategy to optimize data layout in regular/irregular multimedia applications running on embedded multiprocessor environments. The goal is to maximize the amount of accesses to the SPM over the entire system which leads to a reduction in the energy consumption of the system. This is achieved by optimizing data placement of application-wide reused data so that it resides in the SPMs of processing elements. Specifically, our scheme is based on a profiling that generates a memory access footprint. The memory access footprint is used to identify data elements with fine granularity that can profitably be placed in the SPMs to maximize performance and energy gains. We present a heuristic approach that efficiently exploits the SPMs using memory access footprint. Our experimental results show that our approach is able to reduce energy consumption by 30% and improve performance by 18% over cache based memory subsystems for various multimedia applications.
Facial expression recognition as a creative interface
Authors: Roberto Valenti, Alejandro Jaimes, Nicu Sebe
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2008)

We present an audiovisual creativity tool that automatically recognizes facial expressions in real time, producing sounds in combination with images. The facial expression recognition component detects and tracks a face and outputs a feature vector of motions of specific locations in the face. The feature vector is used as input to a Bayesian network which classifies facial expressions into several categories (e.g., angry, disgusted, happy, etc.). The classification results are used along with the feature vector to generate a combination of sounds and images that change in real time depending on the person's facial expressions. We explain the basic components of our tool and several possible applications in the arts (performance, installation) and medical domains.
An Integrated MDA Approach with SysML and UML
Authors: Matthew Clayton Hause, Francis Thom
Venue: Proceedings of the 13th IEEE International Conference on on Engineering of Complex Computer Systems (2008)

During embedded systems development, decisions must be made regarding which portions of the system will be implemented in software, hardware, firmware etc. The latest version of UML (UML 2.1.1), and the Systems Modeling Language, (SysML) now enable embedded systems developers to more closely model their systems. Systems engineering principals, can also aid this process. Consequently, essential aspects of systems engineering issues such as concurrency, hardware architecture, and requirements traceability can be applied to embedded systems. This paper proposes a method for analyzing and designing a system into logical units so that the allocation process can be successfully completed. Constraints and elements can be traced to and reflected in the generated code.
Fractal Analysis of Umbilical Artery Doppler Signals from Normal Pregnant Subject Using Hurst Exponent
Authors: Sadik Kara, Fatma Latifoglu, Mehmet Güney
Venue: Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies (2007)

Doppler signals from the umbilical artery of 20 women with normal pregnancy between 18-20 weeks of gestation were recorded. As a new alternative technique to take the place of traditional short-time Fourier transform (STFT) method, the application of fractal analysis method to the umbilical artery Doppler signals is presented. Traditional Doppler indexes which are resistance index (RI), pulsality index (PI), systolic: diastolic ratio (S/D) indexes have been calculated from the maximum frequency envelope of Doppler sonograms and from the fractal dimension curve. Area under the curve from ROC curve for RI, PI and S/D indexes derived from maximum frequency waveform were calculated as 0.937, 0.959, 0.930 respectively and area under the curve for RI, PI and S/D indexes derived from fractal dimension curve were calculated as 0.939, 0.960, and 0.941 respectively. These results shown that, Furthermore, this result showed the Doppler indexes derived from fractal dimension curve are more sensitive than the Doppler indexes derived from maximum velocity curve.
Multiprocessor performance estimation using hybrid simulation
Authors: Lei Gao, Kingshuk Karuri, Stefan Kraemer, Rainer Leupers, Gerd Ascheid, Heinrich Meyr
Venue: Proceedings of the 45th annual Design Automation Conference (2008)

With the growing number of programmable processing elements in today's Multi Processor System-on-Chip (MPSoC) designs, the synergy required for the development of the hardware architecture and the software running on them is also increasing. In MPSoC development environment, changes in the hardware architecture can bring in extensive re-partitioning or re-parallelization of the software architecture. Fast and accurate functional simulation and performance estimation techniques are needed to cope with this co-design problem at the early phases of MPSoC design space exploration. The current paper addresses this issue by introducing a framework which combines hybrid simulation, cache simulation and online trace-driven replay techniques to accurately predict performance of programmable elements in an MPSoC environment. The resulting simulation technique can easily cope with the continuous re-organizations of software architectures during an Instruction Set Simulator (ISS) based design process. Experimental results show that this framework can improve system simulation speed by 3-5&times; on average while achieving accuracy closely comparable to traditional ISSes.
Approximation by Kantorovich type q-Bernstein operators
Authors: Özge Dalmanoglu
Venue: Proceedings of the 12th WSEAS International Conference on Applied Mathematics (2007)

In the present paper, Kantorovich type of Bernstein polynomials based on q-integers is constructed. Approximation properties and rate of convergence of these operators are established with the help of the Korovkin theorem.
Analytical solution of joint phase and timing synchronizer in tracking mode
Authors: Jiří Šebesta, Jan Šebesta
Venue: Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision (2004)

In this contribution is outlined a method for an effective solution of the joint phase and timing estimator (JPT) in a tracking mode. Small errors of the phase offset and the delay offset are primary conditions for operation of the JPT synchronizer in the tracking mode. On the other hand these small deviations make it possible to transform this non-linear synchronizer into a general linear system. This paper presents the potential ways to solve this problem and to obtain reasonable results. Theoretical explanations are supported by a plain example.
Characterization at the nanometer scale of local electron beam irradiation of CNT based devices
Authors: G. Rius, A. Verdaguer, F. A. Chaves, I. Martín, P. Godignon, E. Lora-Tamayo, D. Jiménez, F. Pérez-Murano
Venue: Microelectronic Engineering (2008)

We report on the specialised characterization of the local electron beam irradiation of carbon nanotube (CNT) based devices motivated by previous studies on device electrical characteristics. In particular, Kelvin probe force microscopy provides surface potential description of the device under exposure. The experimental characterization is complemented with 3-dimensional electric field modelling of the devices using finite element methods. The modelling includes the effect of electron charging and AFM tip potential. Comparison of simulation and experiments shows good agreement and contributes to assess the distortion of electrical characteristics of CNT based devices under electron beam irradiation.
Efficient projections onto the l1-ball for learning in high dimensions
Authors: John Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra
Venue: Proceedings of the 25th international conference on Machine learning (2008)

We describe efficient algorithms for projecting a vector onto the l1-ball. We present two methods for projection. The first performs exact projection in O(n) expected time, where n is the dimension of the space. The second works on vectors k of whose elements are perturbed outside the l1-ball, projecting in O(k log(n)) time. This setting is especially useful for online learning in sparse feature spaces such as text categorization applications. We demonstrate the merits and effectiveness of our algorithms in numerous batch and online learning tasks. We show that variants of stochastic gradient projection methods augmented with our efficient projection procedures outperform interior point methods, which are considered state-of-the-art optimization techniques. We also show that in online settings gradient updates with l1 projections outperform the exponentiated gradient algorithm while obtaining models with high degrees of sparsity.
The evolution of a collaborative authoring system for non-linear hypertext: A design-based research study
Authors: Johannes Strobel, David H. Jonassen, Ioan Gelu Ionas
Venue: Computers Education (2008)

Learning in complex and ill-structured knowledge domains requires accommodation of multiple perspectives embedded in authentic activities and the reconciliation of those perspectives with personal beliefs resulting in conceptual change. Cognitive flexibility hypertext systems support that process by enabling learners to explore authentic cases from multiple thematic perspective. Study 1 showed that knowledge exploration alone is insufficient to engage those conceptual change processes. So we reasoned that providing learners with environments that engage more constructive, personal knowledge representation activities would better support conceptual change. However, these environments rarely support learners in structuring, integrating, and representing their personal beliefs with other perspectives. That became the goal of our iterative research process. We describe a design-based research study conducted over three years that chronicles the evolution of a hypertext information system into a collaborative knowledge construction environment. Situated in different subject areas and contexts, the project examined learner roles for interpreting and later representing and constructing their own complex, non-linear content structures. At the core of the project was an evolving hypertext authoring system, Crisscrossing, in which users in the latest version collaboratively construct non-linear hypertext structures as well as represent non-linear and sequential pathways through the content structures they construct. During each research cycle, we conducted extensive usability testing and utilized qualitative and quantitative research methods to describe changes in learners' roles and their effects on students' conceptual change while interpreting cases and producing and annotating their own cases. Learners consistently produced patterns of artifacts within and outside the environments, experienced poor transfer to new cases, and manifested difficulty in accommodating and creating multiple perspectives and applying causal reasoning. Implications for system design are discussed.
Usage analysis of a public website reconstruction tool
Authors: Frank McCown, Michael L. Nelson
Venue: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries (2008)

The Web is increasingly the medium by which information is published today, but due to its ephemeral nature, web pages and sometimes entire websites are often "lost" due to server crashes, viruses, hackers, run-ins with the law, bankruptcy and loss of interest. When a website is lost and backups are unavailable, an individual or third party can use Warrick to recover the website from several search engine caches and web archives (the Web Infrastructure). In this short paper, we present Warrick usage data obtained from Brass, a queueing system for Warrick hosted at Old Dominion University and made available to the public for free. Over the last six months, 520 individuals have reconstructed more than 700 websites with 800K resources from the Web Infrastructure. Sixty-two percent of the static web pages were recovered, and 41% of all website resources were recovered. The Internet Archive was the largest contributor of recovered resources (78%).
Optimal correlator size for the TDSC-UWB detection method
Authors: Charbel Saber, Roger Lamberti, Muriel Muller, Yang Ni, Francisco Hirata-Flores
Venue: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology (2007)

This paper studies different aspects of the correlation process for a new TR-UWB detection method called Time Delayed Sampling & Correlation (TDSC). The TDSC concept is based on inter-correlation between two waveforms captured by two time delayed samplers. The objective is to determine different design parameters for silicon integration. In this paper we focus on the length of the correlation window and we give the minimum size of the register file in the waveform samplers; this value insures an optimal detection performance with indoor communication channels. In this work, all the simulations and validation use the IEEE 802.15.3a channel models.