ppxscal/embedding_network huggingface dataset:
Low-overhead message tracking for distributed messaging
Authors: Seung Jun, Mark Astley
Venue: Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware (2006)

As enterprise applications rely increasingly on commodity messaging middleware, message tracking has become instrumental in testing and run-time monitoring. However, building an effective message tracking system is challenging because of the large scale and high message rate of enterprise-wide applications. To address this challenge, we consider the case of message tracking for distributed messaging middleware. We desire to record the origin, path, and destination of every application message while imposing low overhead with respect to latency, memory and storage. To achieve our goal, we propose a tunable approximation approach based on Bloom filter "histories." Our approach is tunable in the sense that more accurate audit trails may be provided at the expense of storage space, or, conversely, storage overhead is reduced for applications requiring less accurate audit trails. We describe the design of the system and demonstrate its utility by analyzing the performance of a prototype implementation.
On the Security of Provably Secure Multi-Receiver ID-Based Signcryption Scheme
Authors: Chik-How Tan
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

Recently, Duan and Cao proposed an multi-receiver identity-based signcryption scheme. They showed that their scheme is secure against adaptive chosen ciphertext attacks in the random oracle model. In this paper, we show that their scheme is in fact not secure against adaptive chosen ciphertext attacks under their defined security model.
A novel wastewater bacteria recognition method based on microscopic image analysis
Authors: Li Xiaojuan, Chen Cunshe
Venue: Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing (2008)

The classification and recognition for wastewater bacteria are studied by image analysis. A novel recognition method for the image of wastewater bacterial is presented in the paper. An adaptive and enhanced edge detection solution for the images of wastewater bacteria is proposed, which can effectively remove noises in the images and get clear edges of microscopic image by optimizing segmentation threshold and the varied order of edge detection. Seven contour invariant moment features and four morphological features are extracted by analysis of microscopic images of wastewater bacteria. Moreover, six features are chosen by PCA to reduce the dimensionality of the features extracted from the images and an adaptive accelerated BP algorithm is used to learn to classify the images. The proposed method is tested with CECC database, experimental results demonstrate that the presented image recognition solution is effective.
MULTIBUS&reg; continues to evolve to meet the challenges of the VLSI revolution
Authors: Steve Cooper
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

MULTIBUS is the world's most popular microprocessor system architecture. The success of the MULTIBUS is attributable to its compatible evolution, always meeting the demands of new VLSI microprocessors without forsaking compatibility with existing products. New system architecture's need for the use of large amounts of high performance memory is the motivation for continued MULTIBUS evolution. This need is addressed through the introduction of the Local Bus Extention (iLBX&trade;). Whereas the local bus under the previous definition was physically limited to on-board execution, the iLBX evolution allows the local bus to span up to five separate boards. The benefit of the LBX is the ability to achieve on-board performance when operating out of physically separate boards. Intel's iSBC(R) 286/10 single board computer combines the latest VLSI with the iLBX extension, creating a new level of microcomputer system performance. This new board vividly demonstrates that the MULTIBUS continues to evolve to meet the challenges of the VLSI revolution. 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
Contextualized Recommendation Based on Reality Mining From Mobile Subscribers
Authors: Jason J. Jung, Hojin Lee, Kwang Sun Choi
Venue: Cybernetics and Systems (2009)

It is difficult to be aware of the personal context for providing a mobile recommendation, because each person's activities and preferences are ambiguous and depend upon numerous unknown factors. In order to solve this problem, we have focused on a reality mining to discover social relationships (e.g., family, friends, etc.) between people in the real world. We have assumed that the personal context for any given person is interrelated with those of other people, and we have investigated how to take into account a person's neighbor's contexts, which possibly have an important influence on his or her personal context. This requires that given a dataset, we have to discover the hidden social networks which express the contextual dependencies between people. In this paper, we propose a semiautomatic approach to build meaningful social networks by repeating interactions with human experts. In this research project, we have applied the proposed system to discover the social networks among mobile subscribers. We have collected and analyzed a dataset of approximately two million people.
Improving Korean Service Delivery System in Health Care: Focusing on National E-health System
Authors: Hee Jeong Cheong, Na Yoon Shin, Youn Baek Joeng
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

Recently the Korean government has been promoting national e-health project to systemically build an integrated health care system from 2004 to 2010. The e-health project could realize Electronic Health Record (EHR), telemedicine, technology standardization, and technology interoperability by sharing medical information and technology among hospitals. Via such innovation, total reform of the existing health and medical system could be carried out. Therefore, many positive outcomes generate such as improvement in health care system, increase in patients’ accessibility of medical care and satisfaction, enhancement in medical equality, improvement in medical quality, reduction in costs, and business rationalization of hospitals. From the national perspective, the project is anticipated to improve transparency by overcoming inequality of healthcare system, and enhance accountability by providing well structured health administrative services. However, to support e-health project it is necessary to solve information security issues such as protecting the privacy of personally-identifiable health records and preventing discrimination based on genetic information. Moreover, the policy priority should be creating legal and institutional environment in order to establish sensible cooperation among medical and governmental organization.
The Web Conferencing Imperative for Collaboration, Productivity, and Training, 1st edition
Authors: Henry E. Liebling, Ruth Ann Forrester
Venue:  (2007)

This breakthrough book helps individuals and organizations increase the Quality and Quantity of Web Conferencing for highly collaborative virtual meetings and distance learning. When you use Web Conferencing for meetings and training sessions, you use less gasoline. It provides 175 examples of people using Web Conferencing (in all industries); 11 important things to know about Web Conferencing; Productivity - Time Management charts; Traffic Congestion costs; 10 Location Scenarios for individuals, small meeting rooms, auditoriums, and large conference facilities; 20 mini Case Studies on how to manage time, what content show, and how to interact during a Web Conference; definitions for Distance Learning and Blended Learning; 6 Blended Learning examples, 5 Virtual Instructor-Led Classroom mini-Case Studies. It also includes 65 Tips and Techniques on (1) Organizational Development, (2) Getting Started, (3) Planning and Preparing Your Web Conferencing, (4) Building Relationships, (5) Engaging and Involving Participants, and (6) Developing Your Web Conferencing Skills.
A New Low Mach Number Approach in Astrophysics
Authors: Ann S. Almgren, John B. Bell, Andy Nonaka, Michael Zingale
Venue: Computing in Science and Engineering (2009)

A common feature of astrophysical flows is that they typically span a broad range of length and time scales. Specialized numerical algorithms that exploit the relationships between these scales can significantly improve the efficiency of numerical simulations without loss of accuracy. In the case of highly subsonic flows, hydrodynamics algorithms that filter sound waves but retain both local and large-scale compressibility effects can give accurate and efficient solutions. The authors describe the process by which an understanding of the important processes in Type Ia supernovae is guiding the development of new algorithms to model these phenomena.
Design of software for distributed/multiprocessor systems
Authors: Terrence R. Mckelvey, Dharma P. Agrawal
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

Software design methodologies for distributed/multiprocessor systems are investigated. Parallelism and multitasking are considered as key issues in the design process. Petri-nets and precedence graphs are presented as techniques for the modeling of a problem for implementation on a computer system. Techniques using the Petri-net and precedence graph to decompose the problem model into subsets that may be executed on a distributed/multiprocessor system are presented. These techniques offer a systematic design methodology for the design of distributed/multiprocessor system software.
A neuro-coevolutionary genetic fuzzy system to design soft sensors
Authors: Myriam Regattieri Delgado, Elaine Yassue Nagai, L&#x00fa;cia Val&#x00e9;ria Ramos de Arruda
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2008)

This paper addresses a soft computing-based approach to design soft sensors for industrial applications. The goal is to identify second-order Takagi&#x2013;Sugeno&#x2013;Kang fuzzy models from available input/output data by means of a coevolutionary genetic algorithm and a neuro-based technique. The proposed approach does not require any prior knowledge on the data-base and rule-base structures. The soft sensor design is carried out in two steps. First, the input variables of the fuzzy model are pre-selected from the secondary variables of a dynamical process by means of correlation coefficients, Kohonen maps and Lipschitz quotients. Such selection procedure considers nonlinear relations among the input and output variables. Second, a hierarchical coevolutionary methodology is used to identify the fuzzy model itself. Membership functions, individual rules, rule-bases and fuzzy inference parameters are encoded into each hierarchical level and a shared fitness evaluation scheme is used to measure the performance of individuals in such levels. The proposed methodology is evaluated by developing soft sensors to infer the product composition in petroleum refining processes. The obtained results are compared with other benchmark approaches, and some conclusions are presented.
VMFence: a customized intrusion prevention system in distributed virtual computing environment
Authors: Hai Jin, Guofu Xiang, Feng Zhao, Deqing Zou, Min Li, Lei Shi
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

Intrusion Prevention System (IPS) has been an effective tool to detect and prevent unwanted attempts, which are mainly through network and system vulnerabilities, at accessing and manipulating computer systems. Intrusion detection and prevention are two main functions of IPS. As attacks are becoming massive and complex, the traditional centralized IPSes are incapable of detecting all those attempts. The existing distributed IPSes, mainly based on mobile agent, have some serious problems, such as weak security of mobile agents, response latency, large code size. In this paper, we propose a customized intrusion prevention system, VMFence, in distributed virtual computing environment to simplify the complexity of the management. In VMFence, the states of detection processes vary with those of Virtual Machines (VMs), which are described by Deterministic Finite Automata (DFA). The detection processes, each of which detects one virtual machine, reside in a privileged virtual machine. The processes run synchronously and outside of VMs in order to achieve high performance and security. The experimental results also show VMFence has higher detection efficiency than traditional intrusion detection systems and little impact on the performance of the monitored VMs.
FEC recovery performance for video streaming services over wired-wireless networks
Authors: Shun Muraoka, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi
Venue: Performance Evaluation (2009)

This paper considers the packet recovery performance of forward error correction (FEC) for video streaming services over wired-wireless networks. Focusing on a wireless base station, we model it as a single-server queueing system with a Markovian service process in which the state of the server alternates between Good and Bad states. The system has two independent input processes: one is a general renewal input process and the other is a Poisson arrival process. We analyze the packet- and block-level loss probabilities to investigate the recovery performance of FEC at block level. The analysis is validated with simulation experiments driven by real traffic traces. Numerical examples show that the block-loss probability is greatly affected by the system capacity and the mean Bad-state period, and that the recovery performance of FEC deteriorates according to the fluctuation in the packet transmission rate at a wireless base station.
Dynamic Programming Algorithms as Products of Weighted Logic Programs
Authors: Shay B. Cohen, Robert J. Simmons, Noah A. Smith
Venue: Proceedings of the 24th International Conference on Logic Programming (2008)

Weighted logic programming, a generalization of bottom-up logic programming, is a successful framework for specifying dynamic programming algorithms. In this setting, proofs correspond to the algorithm's output space, such as a path through a graph or a grammatical derivation, and are given a weighted score, often interpreted as a probability, that depends on the score of the base axioms used in the proof. The desired output is a function over all possible proofs, such as a sum of scores or an optimal score. We describe the PRODUCT transformation, which can merge two weighted logic programs into a new one. The resulting program optimizes a product of proof scores from the original programs, constituting a scoring function known in machine learning as a "product of experts." Through the addition of intuitive constraining side conditions, we show that several important dynamic programming algorithms can be derived by applying PRODUCT to weighted logic programs corresponding to simpler weighted logic programs.
RK-Butcher algorithms for singular system-based electronic circuit
Authors: V. Murugesh, K. Murugesan
Venue: International Journal of Computer Mathematics (2009)

In this paper, a new method of analysis for a singular system-based electronic circuits using the Runge-Kutta (RK)-Butcher algorithm is presented for linear time-invariant and time-varying cases. The discrete solutions obtained using the RK-Butcher algorithms are compared with the exact solutions of the electronic circuit problem and are found to be very accurate. Stability regions for the Single term walsh series method and the RK-Butcher algorithms are presented. Error graphs for inductor currents and capacitor voltages are presented in a graphical form to show the efficiency of this method. This RK-Butcher algorithm can be easily implemented in a digital computer and the solution can be obtained for any length of time.
Distraction Free Evolution of Active Contours
Authors: V. Srikrishnan, Subhasis Chaudhuri
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

We propose a novel energy term to make the curve evolution quite robust to spurious edges. The physical intuition behind the formulation is that an object edge is generally continuous, but it could be composed of weak and strong segments. We then formulate the energy term which depends on a second order measure defined on the contour. Minimisation of this energy term yields a space varying curvature based curve evolution equation. An added advantage of the formulation is that this term also acts as the regularising term for smoothing the curve evolution. The proposed term can therefore be used in conjunction with any of the numerous gradient based active contour models. For our experimentation purpose, we have used the well-known gradient vector force model as the external force. We have performed a number of experiments on images and obtained good results.
Hypermedia Fusion - A Document Generator for the World Wide Web
Authors: Jorg Caumanns, Hans-Joachim Lenz
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

In this paper we present a bottom-up approach for the automated generation of hypermedia documents. The approach is based on the idea of calculating the structure of a document from a given set of textual, graphical, continuous, and interactive mediaobjects. From all these objects the most appropriate ones according to the requested structure and content are selected and sequenced into a tree-like structure. This structure is first converted into a set of screen pages, then into a set of chapters and sections, and finally into a set of HTML files. The main advantage of the proposed bottom-up approach beside its simplicity is that the resulting documents can easily be extended and maintained.
Controlled testing for computer performance evaluation
Authors: A. C. Shetler
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

Because computer systems are still major investments, it is appropriate that effort be direted toward verfiying and improving their performance. Previous documents, such as R-549, recommend an overall framework for addressing computer performance improvements throught the use of the scientific method. This paper expands on that base, describing a specific procedure for implementing particular investigations through the technique of controlled testing.
An Efficient Method for Near-Duplicate Video Detection
Authors: Bashar Tahayna, Mohammed Belkhatir
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

In order to monitor video streams in real-time or search large collections of video documents, several solutions based on near-duplicate video detection have been proposed in the literature. We present in this paper an architecture based on signature-based index structures coupling visual and temporal features and on an N-gram matching and scoring framework. The techniques we cover are robust and insensitive to general video editing and/or degradation, making it ideal for re-broadcasted video search. Through the use of signature-based indexing and N-gram matching and scoring, we identify corresponding query and index contents accurately in order to detect near-duplicate videos, even when these contents constitute only a small section of the videos being compared. Experiments are carried out on large quantities of video data collected from the TRECVID 02, 03 and 04 collections and real-world video broadcasts recorded from two German TV stations. An empirical comparison over two state-of-the-art dynamic programming techniques is encouraging and demonstrates the advantage and feasibility of our method.
GenXfone - Design and Implementation of Next-Generation Ubiquitous SIP Client
Authors: Alhad Kuwadekar, Chitra Balakrishna, Khalid Al-Begain
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

The convergence of the fixed and mobile world allows for interoperability of services as well as innovative blend of services across both the domains. For instance, a user may want to perform session mobility from his mobile to his PC or from his fixed phone to a PDA. Most clients available in the market, lack features like session mobility, location aware services and automatic codec updates, etc. Integrating advanced features into a single user agent can provide a plethora of innovative communication services. In this paper we present a study of the existing SIP clients and propose a new SIP-based client that supports not only the standard features but also many new features.
A Scaled Bilateral Control System for Experimental One-dimensional Teleoperated Nanomanipulation
Authors: Cagdas D. Onal, Metin Sitti
Venue: International Journal of Robotics Research (2009)

In this work, one-dimensional experimental teleoperated nanomanipulation with force and visual feedback is demonstrated by using an atomic force microscope on the slave side and a haptic device on the master side. Three main topics are addressed that are especially relevant for force feedback in teleoperation at the nanoscale: transparency, impedance reflection according to human perception and stability. To further assist the operator, the Maugis-Dugdale elastic contact mechanics model is utilized to provide an augmented reality visual interface. As a result, a robust platform to perform teleoperated nanomanipulation on a broad range of materials is achieved. The performance of the resulting system is demonstrated on experimental results for vertical tip positioning tasks on glass, polystyrene and silicone rubber substrates with force and visual feedback. Experimental results indicate that softer substrates yield higher positioning errors and lower reaching speeds. Finally, one-dimensional nanoindentation of a flat polymethylmethacrylate (PMMA) surface using the proposed teleoperation system is demonstrated.
Texture Based Palmprint Identification Using DCT Features
Authors: Manisha P. Dale, Madhuri A. Joshi, Neena Gilda
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

In the palmprint recognition application utilizing more information other than principle lines or minutiae is much helpful. In this paper we proposed Discrete Cosine Transform (DCT) based feature vector for palmprint representation and matching and compared with DFT and Wavelet transform. Here the central part of the palmprint image of size 128x128 is resized to the size of 64x64 and divided into four non overlapping sub-images. The transform is applied on each sub-image directly without any preprocessing. By dividing the transformed sub-image into nine blocks, standard deviation is calculated for each block and such in total 36 (9x4=36) standard deviations will form the feature vector. This feature vector is used in matching stage. Total 10 images per person are taken from standard database available. Training set is prepared with the help of k images where k varies from 1 to 8. Results are checked against remaining images image in identification mode. Results are represented in terms of Genuine acceptance rate(%). In identification mode 97.5% recognition rate is obtained. The work is preliminary but recognition rate is promising and without any pre-processing.