ppxscal/embedding_network huggingface dataset:
Use of ATM and other computer networks in delivery of engineering education-a perspective
Authors: P. E. Mantey
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

Meeting the needs of employees in the area served by the University of California, Santa Cruz, translates into a requirement for the delivery of graduate courses to a site 30 miles from the campus, which is connected to the campus by an ATM link (furnished under Pacific Bell's CalREN research project). Based on this technology, we have developed the design of a "mirrored-pair" of classrooms to support distance learning. In conjunction with this, we have also considered requirements for support of remote or "distributed" faculty "electronic office hours", as interactive sessions over a computer network. Another dimension in this digital multimedia in the educational setting is support for the capture and storage of lectures in a digital multimedia library, which offers significant potential value for improved learning and increased faculty productivity. For connecting the "mirrored-pair" of classrooms, we have used and evaluated a variety of currently available systems and software, and have concluded that significant additional research is needed to optimally utilize remote classrooms. We are currently developing those systems and software, and expect to evaluate them in the delivery of graduate courses in degree-granting programs. In this paper, we discuss our objectives and our system design which exploits the available network technology.
Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes
Authors: Lun Xin, Tieniu Tan
Venue: Proceedings of the 14th International Conference on Computer Communications and Networks (2005)

There is an increasing interest in semantic analysis of events in dynamic scenes in recent years, and many different methods have been reported for this challenging problem. A new approach towards event modeling and analysis with semantic representations is proposed in this paper. Our method is inspired by the entity-relation model in software engineering. It integrates all related information into a hierarchical conceptual model by the name of ontology, and defines events as significant changes and mappings of conceptual units in the mode. All concepts are represented by three basic components, an entity, a word, and a set of attributes. The lower level of our framework achieves the task of feature extraction, and in the upper level, semantically meaningful representations of events are received by using these words. So our framework is data-driven and provides semantic outputs. Semantic similarity measurement of concepts is another important problem. In this paper we propose a method that uses conceptual status vector (CSV) and weighted semantic distance (WSD) to deal with it. Experimental results are presented which demonstrate the effectiveness of our approach on real-world videos captured from different scenes.
PEAN: A Probabilistic Energy Aware Neighbor Monitoring Protocol for Mobile Ad Hoc Networks
Authors: Hung-Yuan Hsu, Ali R. Hurson
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

This paper presents a novel application of the wake-up based power management protocol. MAC layer power man- agement protocols have been studied for years. The power management mechanism which exploits the IEEE 802.11 power saving mode to save energy by turning on/off the network interface card is called the wake-up based power management. The previous proposals for the wake-up based power management focus on the network operations and neighbor discovery. In this paper, we apply the wake-up based power management to neighbor monitoring in se- curing mobile ad hoc networks (MANETs). We propose a probabilistic wake-up based power management protocol for neighbor monitoring which aims to reduce energy con- sumption while preserving the effectiveness of misbehaving node detection. We show by analysis and simulation the re- lation between the wake-up probability and the misbehavior detection rate.
Toward gesture-based behavior authoring
Authors: D. N. Metaxas, Bing-Yu Chen
Venue: Proceedings of the Computer Graphics International 2005 (2005)

Creating lifelike, autonomous, and interactive virtual behaviors is important in generating character animation, such as animal crowds, pedestrians, battle scenes, etc. Unfortunately, such task has long been limited to skilled users, since the authoring tools, including script languages and other commercial programs, mostly require lengthy prelearning process or are difficult to use. A novel approach, gesture-based behavior authoring, is proposed to open the interesting experience of creating autonomous animated characters to novice users. The technique enables users to efficiently prototype behaviors of a character, with the potential for further refinements. With several testees, our gesture-based authoring manner has been verified to be beneficial to the addressed problem, and, grounded on the HCI (human-computer interaction) literature, the authoring process is direct, easy, and enjoyable.
MOVCOL4: A Moving Mesh Code for Fourth-Order Time-Dependent Partial Differential Equations
Authors: R. D. Russell, J. F. Williams, X. Xu
Venue: SIAM Journal on Scientific Computing (2007)

In this paper we develop and analyze a moving mesh code for the adaptive simulation of fourth-order PDEs based on collocation. The scheme is shown to enforce discrete conservation for problems written in a generalized conservation form. To demonstrate the breadth of applicability we present examples from both Cahn-Hilliard and thin-film-type equations exhibiting metastable behavior, finite-time solution blow-up, finite-time extinction, and moving interfaces.
A Linear 3D Elastic Segmentation Model for Vector Fields. Application to the Heart Segmentation in MRI
Authors: Martine Picq, Jérôme Pousin, Youssef Rouchdy
Venue: Journal of Mathematical Imaging and Vision (2007)

In this paper a 3D elastic model for the segmentation of vector fields has been proposed and analyzed. Elastic models for segmentation usually involve minimization of internal and external energy. A problem we observed with standard internal and external energy is that the local or the global reached minima do not force the external energy to be zero. To eliminate this difficulty, we propose introducing a constraint. The constraint problem is proved to be mathematically well posed, and a simple algorithm which avoids computing the lagrange multiplier is provided. This algorithm is proved to be convergent. Then the algorithm is applied to the segmentation of cardiac magnetic resonance imaging, and its efficiency is shown with two experiments.
Clinical Usefulness is the Key Common Determinant of Adoption of Wireless Technology in Healthcare for India and Australia
Authors: Shelly Grist, Abdul Hafeez-Baig, Raj Gururajan, Shamim Khan
Venue: Proceedings of the International Conference on the Management of Mobile Business (2007)

Traditional technology adoption models identified "perceived ease of use' and "perceived usefulness' as the dominating factors for technology adoption. However, recent studies in healthcare have indicated that these two factors are not always reliable on their own and other issues may contribute to technology adoption. To establish the identity of these, this study investigated human psychological factors using interviews, and enumerated these factors using a quantitative study. The scope of this study was restricted to wireless handheld devices such as PDAs. Medical care systems in two countries differing significantly in the areas of payment options, standards and government regulations
Preliminary Usability Evaluation of PolyMeCo: A Visualization Based Tool for Mesh Analysis and Comparison
Authors: Beatriz Sousa Santos, Samuel Silva, Leonor Teixeira, Carlos Ferreira, Paulo Dias, Joaquim Madeira
Venue: Proceedings of the Geometric Modelling and Imaging (2007)

An overall description of the methods used and the results obtained in the on-going evaluation of PolyMeCo a mesh analysis and comparison tool - is presented. We are trying to evaluate some aspects of both the user interface and the visualization techniques implemented. Heuristic evaluation, observation and querying techniques were used and produced encouraging preliminary results, which provided new ideas, as well as information, that will inform the development of a more usable version of PolyMeCo, including new functionality.
Monitor an enterprise of SQL servers: automating management by exception with perl
Authors: Linchi Shea
Venue: Proceedings of the 3rd conference on Large Installation System Administration of Windows NT - Volume 3 (2000)

Monitoring a large number of SQL Servers in an enterprise is a difficult task. The SQL Server administrators have to deal with a large amount of very dynamic and diverse information, and many other complicating factors. We found that the age-old principle of management by exception provides an effective framework in organizing our monitoring efforts. This paper describes our experience in using Perl to help automate the management-by-exception approach to monitoring SQL Servers. Perl is used, in most cases together with SQL, to collect and process SQL Server-related system information, to identify important exceptions, and to report them in a highly summarized fashion. The exception reports and a suite of Perl scripts developed to produce the reports are discussed. We conclude the paper by sharing some lessons learned in our struggle to tame SQL Server monitoring with Perl.
Software instability analysis: co-change analysis across configuration-based dependence relationships
Authors: James Whitehead,  Jr.
Venue:  (2006)

To paraphrase previous software evolution research, changing a software system leads to both defect introduction and structural decay. Given that software systems must evolve to be successful, a sensible maintenance process must reduce the risks and costs associated with change. One known risk factor is the number of distinct software entities that must be changed to implement a specific maintenance task. Software evolution research based on co-change analysis looks not only at which individual system entities were changed, but also which were changed together, using the archived system history as input. Such analyses help to identify "unstable regions" in the system as a precursor for redesign or refactoring activities. Previous history-based software evolution research has commonly used specific, research-directed methodologies, implementations, and visualizations. One result of this practice is that comparison or composition of the results of different evolution analyses is made difficult by differences in the specific data collected; each such system collects only the data it requires. This thesis posits that history-based software evolution research has matured to the point where fully independent analyses no longer contribute to the greatest possible extent to the state of research, primarily because of this inability to fully leverage previous work. This thesis presents two primary contributions to software evolution research. The first is an evolution analysis methodology that combines static dependence analysis with co-change analysis for the purpose of identifying software instabilities: groups of related program entities that have a history of changing together. Implemented as IVA, a principle contribution of this approach is the ability to differentiate co-changing relationships based on the type of dependence relation. The second contribution is Kenyon, a software evolution infrastructure toot that synthesizes and enhances many of the research-independent tasks common for history-based analyses. Specifically, Kenyon manages the gathering, assembling, linking, and updating of historical data from project development archiving resources, and provides convenient methods for accessing this data in a research-independent manner.
From Requirements to Statistical Testing of Embedded Systems
Authors: Thomas Bauer, Frank Bohr, Dennis Landmann, Taras Beletski, Robert Eschbach, Jesse Poore
Venue: Proceedings of the 29th International Conference on Software Engineering Workshops (2007)

This paper presents the results of a research project where the combination of techniques of sequence-based requirements specification and modelbased statistical testing has been applied to a real mirror control unit of a car door for reliability estimations. A complete chain from a requirements document to a statistical test report with a very high degree of automation is demonstrated. A practical solution for reliability analysis of embedded systems in a realistic industrial setup is proposed.
Communicating Software Architecture using a Unified Single-View Visualization
Authors: Thomas Panas, Thomas Epperly, Daniel Quinlan, Andreas Saebjornsen, Richard Vuduc
Venue: Proceedings of the 12th IEEE International Conference on Engineering Complex Computer Systems (2007)

Software is among the most complex human artifacts, and visualization is widely acknowledged as important to understanding software. In this paper, we consider the problem of understanding a software system's architecture through visualization. Whereas traditional visualizations use multiple stakeholder-specific views to present different kinds of task-specific information, we propose an additional visualization technique that unifies the presentation of various kinds of architecture-level information, thereby allowing a variety of stakeholders to quickly see and communicate current development, quality, and costs of a software system. For future empirical evaluation of multi-aspect, single-view architectural visualizations, we have implemented our idea in an existing visualization tool, Vizz3D. Our implementation includes techniques, such as the use of a city metaphor, that reduce visual complexity in order to support single-view visualizations of large-scale programs.
Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies
Authors: Gerald Tesauro
Venue: IEEE Internet Computing (2007)

Reinforcement learning (RL) is a promising new approach for automatically developing effective policies for real-time self-* management. RL has the potential to achieve superior performance to traditional methods while requiring less built-in domain knowledge. Several case studies from real and simulated systems-management applications demonstrate RL's promises and challenges. These studies show that standard online RL can learn effective policies in feasible training times. Moreover, a Hybrid RL approach can profit from any knowledge contained in an existing policy by training on the policy's observable behavior without needing to interface directly to such knowledge.
Variable-size vector entropy coding of speech and audio
Authors: Y. Shoham
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02 (2001)

Many modern analog media coders employ some form of entropy coding (EC). Usually, a simple per-letter EC is used to keep the coder's complexity and price low. In some coders, individual symbols are grouped into small fixed-size vectors before EC is applied. We extend this approach to form variable-size vector EC (VSVEC) in which vector sizes may be from 1 to several hundreds. The method is, however, complexity-constrained in the sense that the vector size is always as large as allowed by a pre-set complexity limit. The idea is studied in the framework of a modified discrete cosine transform (MDCT) coder. It is shown experimentally, using diverse audio material, that a rate reduction of about 37% can be achieved. The method is, however, not specific to MDCT coding but can be incorporated in various speech, audio, image and video coders.
Revealing botnet membership using DNSBL counter-intelligence
Authors: Anirudh Ramachandran, Nick Feamster, David Dagon
Venue: Proceedings of the 2nd conference on Steps to Reducing Unwanted Traffic on the Internet - Volume 2 (2006)

Botnets--networks of (typically compromised) machines--are often used for nefarious activities (e.g., spam, click fraud, denial-of-service attacks, etc.). Identifying members of botnets could help stem these attacks, but passively detecting botnet membership (i.e., without disrupting the operation of the botnet) proves to be difficult. This paper studies the effectiveness of monitoring lookups to a DNS-based blackhole list (DNSBL) to expose botnet membership. We perform counter-intelligence based on the insight that botmasters themselves perform DNSBL lookups to determine whether their spamming bots are blacklisted. Using heuristics to identify which DNSBL lookups are perpetrated by a botmaster performing such reconnaissance, we are able to compile a list of likely bots. This paper studies the prevalence of DNSBL reconnaissance observed at a mirror of a well-known blacklist for a 45- day period, identifies the means by which botmasters are performing reconnaissance, and suggests the possibility of using counter-intelligence to discover likely bots. We find that bots are performing reconnaissance on behalf of other bots. Based on this finding, we suggest counterintelligence techniques that may be useful for early bot detection.
Fuzzy processing for active vision
Authors: M. J. Allen, F. J. Marin, F. García-Lagos, N. E. Gough, Q. Mehdi
Venue: Integrated Computer-Aided Engineering (2003)

Humans employ an active visual system to gather visual data from the surrounding environment. In addition to continually re-focusing the lens and adjusting the iris to control the exposure of light on to the retina, the eye constantly moves so that specific information can be focused on to the fovea - the part of the retina capable of defining fine detail. The target location when the eye moves is determined by the attention of the viewer. The attention of the viewer is drawn towards regions within the environment that are interesting or salient, i.e. they contain visual or semantic information. A mobile robot traversing within its environment has to identify and locate landmarks and other mobile entities as part of its navigational processes. The ability to efficiently analyze visual data captured from the environment and relate this to information from its internal map is very important. In this work a technique is described that uses semantic data to direct attention towards regions of interest within a simple environment and systematically search other areas of the environment. A fuzzy system lies at the heart of the technique that reasons with historical and environmental data in order to influence the search patterns. A Kohonen self-organizing map is used for object classification. Experimental data will be provided to illustrate the success and efficiency of the technique and conclusions will be drawn that discuss future work.
Persuasive presentations [educational technology]
Authors: L. Martin
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

Faculty are constantly being encouraged to utilize educational technology in engineering education. Research also indicates that learning is enhanced through sensory involvement, that is, the more senses that are involved, the greater the likelihood that learning will take place. We have the continued opportunity to involve the senses as we utilize the newer technologies of instruction such as computers, presentation software, and projection systems. In addition to it being a resource for faculty to use for presentations, the equipment can also be included in the instructional program, allowing students to be involved with the utilization of multimedia for enhanced learning, and even in the development of media-rich presentations. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Simplified Network Management with DACS Scheme
Authors: Kazuya Odagiri, Rihito Yaegashi, Masaharu Tadauchi, Naohiro Ishii
Venue: Proceedings of the Third International Conference on Networking and Services (2007)

When operation and management in the university network are performed, various problems occur. As one of those problems, user support problems in the network are often shown. As an example, coping with annoying communication to other users is described. The word of "annoying communication" means the communication which adversely affects processing performance and communication speed of other clients. In this case, under the management by DHCP Service, much time and effort are spent to specify where the client with annoying communication is. To simplify user supports such as this case, new form of user support by DACS (Destination Addressing Control System) Scheme, which is an efficient scheme for the network operation and management in university network, is proposed and examined. Without the virus infection client being specified by a system administrator, the communication port of the client is intercepted and the warning message is displayed on the screen of the client. The user who watches the warning message does an inquiry to the computer management section. Because the system administrator does not need to identify the virus infection client physically, network management is largely simplified.
Achieving Collective Intelligence via Large-Scale On-line Argumentation
Authors: Mark Klein
Venue: Proceedings of the Second International Conference on Internet and Web Applications and Services (2007)

While argumentation tools represent a promising avenue for exploiting the Internet's vast potential for enabling collective intelligence, they have to date been applied almost exclusively to small-scale, usually centrally facilitated, groups. This paper explores some of the issues and design options involved in supporting large-scale on-line argumentation.
eX-CELP: a speech coding paradigm
Authors: Yang Gao
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02 (2001)

This paper presents the core technology of novel enhancements to achieve toll quality at 4 kbps, our experiments and test results traditional CELP coding, coined eXtended CELP (eX-CELP). It is showed that this technology is also successful and suitable for centered on a combined and selective usage of closed-loop/open-both high and medium bit rates. Fig. I and Fig.2 illustrate the basic loop approach, and variant algorithm structure concept. The above structure of the eX-CELP encoder and decoder. two concepts are complemented by new features and refined One of the main themes of the eX-CELP technology is the existing technologies. The eX-CELP paradigm was used in judicious combination of the closed-loop approach and the open-several speech coding systems. It is the core technology of the loop approach, together with a careful selective usage of them. recently chosen candidate for the 3G-CDMA speech codec This mechanism is coined COLA, and its main objective is to standard. It was the best candidate for ITU-T 4 kbps codec intelligently employ the most appropriate approach for different qualification test, and became the basis technology for a types of input signals in order to preserve the perceptually consortium candidate to the ITU-T 4 kbps speech coding important contents. Another important feature in the eX-CELP competition.