ppxscal/embedding_network huggingface dataset:
Optimization for Multi-Resources-Constrained Job Shop Scheduling Based on Three-level Heuristic Algorithm
Authors: Xiaoying Xi, Lili Jiang, Qiang Zhang
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

For the model limitation of classic job-shop scheduling, combined with actual production conditions, multi-resources-constrained scheduling optimization model with machine and mold constraints is established. According to this model, three-level optimization heuristic algorithm of parts level, resources level and optimization level is designed, and using an example to verify its feasibility and effectiveness. The result shows that the algorithm has a good optimizing performance and higher operation speed, with the ability to solve large-scale scheduling problems.
Alternative Transform for Residual Blocks in H.264/AVC
Authors: Sung-Chang Lim, Dae-Yeon Kim, Yung-Lyul Lee
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

In this paper, an alternative transform based on the correlation of the residual block is proposed for the improvement of the H.264/AVC coding efficiency. A discrete sine transform is used alternately with a discrete cosine transform in order to greatly compact the energy of the signal when the correlation coefficients of the signal are in the range of -0.5 to 0.5. Therefore, the discrete sine transform is suggested to be used in conjunction with the discrete cosine transform in H.264/AVC. The alternative transform selecting the optimal transform between two transforms by using rate-distortion optimization shows a coding gain compared with H.264/AVC. The proposed method achieves a PSNR gain of up to 1.0 dB compared to JM 10.2 at relatively high bitrates.
Diving decompression models and bubble metrics: Modern computer syntheses
Authors: B. R. Wienke
Venue: Computers in Biology and Medicine (2009)

A quantitative summary of computer models in diving applications is presented, underscoring dual phase dynamics and quantifying metrics in tissue and blood. Algorithms covered include the multitissue, diffusion, split phase gradient, linear-exponential, asymmetric tissue, thermodynamic, varying permeability, reduced gradient bubble, tissue bubble diffusion, and linear-exponential phase models. Defining relationships are listed, and diver staging regimens are underscored. Implementations, diving sectors, and correlations are indicated for models with a history of widespread acceptance, utilization, and safe application across recreational, scientific, military, research, and technical communities. Presently, all models are incomplete, but many (included above) are useful, having resulted in diving tables, underwater meters, and dive planning software. Those herein employ varying degrees of calibration and data tuning. We discuss bubble metrics in tissue and blood as a backdrop against computer models. The past 15 years, or so, have witnessed changes and additions to diving protocols and table procedures, such as shorter nonstop time limits, slower ascent rates, shallow safety stops, ascending repetitive profiles, deep decompression stops, helium based breathing mixtures, permissible reverse profiles, multilevel techniques, both faster and slower controlling repetitive tissue halftimes, smaller critical tensions, longer flying-after-diving surface intervals, and others. Stimulated by Doppler and imaging technology, table and decompression meter development, theory, statistics, chamber and animal testing, or safer diving consensus, these modifications affect a gamut of activity, spanning bounce to decompression, single to multiday, and air to mixed gas diving. As it turns out, there is growing support for many protocols on operational, experimental, and theoretical grounds, with bubble models addressing many concerns on plausible bases, but with further testing or profile data analyses requisite.
KEEP SLS: An Enhanced ePortfolio System Supporting Constructive Social Learning Activities
Authors: Xuesong Zhang, Peter Ractham, Daniel Firpo
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

This paper provided a new approach of bridging Web 2.0 technologies and traditional ePortfolio systems to enhance educational benefits to individual users as well as learning community. Reasons for promoting constructive social learning in education were analyzed. Related design problems in current elearning systems were discussed. The design and development processes for a social learning enhanced ePortfolio system, i.e., KEEP Social Learning Suite (SLS), were illustrated.
Multi-Robot Cooperated Sensor Networks Hierarchical Expanding Deployment and Perception Architecture
Authors: Zhigang Bing, Qiong Dang, Jingtai Liu, Yuan Liu
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

As complex and powerful systems, mobile robots can be used to cooperate with WSNs, whose nodes have restricted resource. Considering the vulnerability of traditional architecture for robot cooperated sensor networks deployment and perception with respect to adaptability and expandability, an original concept of HEDPA, which means hierarchical expanding deployment and perception architecture, is proposed. HEDPA is fulfilled with three-level structure, including mother robots, child robots, and sensor nodes. The basic concept, the graphical description scheme and the task classification under HEDPA are provided. Some key issues of HEDPA, including basic hardware platform, robot path planning optimal model and optimizing procedure are discussed. Using Player/Stage and NS2, simulation studies are fulfilled. The primary application verifies that HEDPA has the predominance of context-aware progressive expandability, and can supplement mutually with traditional architecture to solve more extensive deployment and perception issues. Some future works are proposed at the end of the paper.
A Probing Attack on AES
Authors: Jörn-Marc Schmidt, Chong Hee Kim
Venue: Information Security Applications: 9th International Workshop, WISA 2008, Jeju Island, Korea, September 23-25, 2008, Revised Selected Papers (2009)

The Advanced Encryption Standard (AES) defines the most popular block cipher. It is commonly used and often implemented on smart cards. In this paper, we show how a 128-bit AES key can be retrieved by microprobing. Thereby, a probe is placed onto the chip to spy on inner values. Watching one arbitrary bit of the AES State during the first two rounds of about 210 encryptions is enough to reveal the whole key. For special positions of the probe, this number can be reduced to 168. The paper demonstrates that even few information is sufficient for a successful attack on AES.
Integrating multi-level molecular simulations across heterogeneous resources
Authors: Yudong Sun, Steve McKeever, Kia Balali-Mood, Mark S. P. Sansom
Venue: Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (2007)

Biomolecular simulations play a key role in the study of complex biological processes at microscopic levels in which macromolecules such as proteins are involved. The simulations are usually computationally demanding and no single method can achieve all levels of details. Thus, the simulations at different levels need to be integrated to jointly manifest atomic insights into these processes. This paper presents a Grid-based simulation framework to support the integration of multi-level simulations by means of dynamic coupling, automated workflow management, resource-dependent job distribution, and XML-based data representation. The framework provides an e-Science infrastructure to support biomolecular simulations on Grids. A biomolecular simulation markup language called BioSimML is developed to provide a formatted data representation to the multi-level simulations. Experimental simulations have shown flexible integration and high performance enhancement achieved in molecular simulations based on our framework.
Design, implementation and evaluation of a novel public display for pedestrian navigation: the rotating compass
Authors: Enrico Rukzio, Michael Müller, Robert Hardy
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Important drawbacks of map-based navigation applications for mobile phones are their small screen size and that users have to associate the information provided by the mobile phone with the real word. Therefore, we designed, implemented and evaluated the Rotating Compass - a novel public display for pedestrian navigation. Here, a floor display continuously shows different directions (in a clockwise order) and the mobile phone informs the user when their desired direction is indicated. To inform the user, the mobile phone vibrates in synchronization with the indicated direction. We report an outdoor study that compares a conventional paper map, a navigation application running on a mobile device, navigation information provided by a public display, and the Rotating Compass. The results provide clear evidence of the advantages of the new interaction technique when considering task completion time, context switches, disorientation events, usability satisfaction, workload and multi-user support.
Identifying significant factors affecting request for information (RFI) process time
Authors: Chang-sun Chin, Jeffrey S. Russell
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

The research is to illustrate how to identify the significant factor(s) affecting the Request For Information (RFI) process cycle time in the context of queueing behavior. Among three different factors involved in the general queueing model (i.e. variability factor, utilization factor, and average process time), the variability factor was selected and investigated to see how variations affect the process cycle time under different conditions along with the batching effect. In order to determine the levels of factors, a set of RFI data was statistically analyzed. Based on the selected factors with levels determined, different scenarios were developed and simulation study was conducted so as to see how the system performs differently. Then, results of simulation were analyzed using the DOE in order to identify the most significant factor(s) which affects the current process cycle time.
Temporal Discharge Current Driven Clustering for Improved Leakage Power Reduction in Row-Based Power-Gating
Authors: Ashoka Sathanur, Luca Benini, Alberto Macii, Enrico Macii, Massimo Poncino
Venue: Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation: 18th International Workshop, PATMOS 2008, Lisbon, Portugal, September 10-12, 2008. Revised Selected Papers (2009)

The use of sleep transistors as power-gating elements to cut-off sub-threshold leakage stand-by currents has become a very popular solution to tackle the rise of leakage energy consumption in nano-CMOS designs. One of the most critical challenges in sleep-transistor based power gating is the sizing of the sleep transistor, which mainly depends on the discharge current pattern over time of the set of cells that share a single sleep transistor.In this work we provide a sleep transistor clustering and sizing methodology that improves over previous solutions by (i) accounting for sleep transistor area constraints (thus implying the possibility of gating only a subset of the cells of the design), and (ii) by utilizing the temporal variations in discharge current pattern to achieve improved leakage power-savings. Experimental results on standard benchmarks show that we can achieve improvement in leakage power savings, compared to previous works, ranging from 12% to 17% on average, depending on the allowed area constraint.
XCAP: a multistream routing algorithm for multimedia traffic
Venue: Proceedings of the 1996 International Conference on Multimedia Computing and Systems (1996)

Abstract: The paper presents XCAP, a distributed multimedia routing algorithm. XCAP uses current network utilization measurements and a stochastic hillclimbing algorithm to produce routing assignments which maximize the ability of the network to support new connection requests.
Single-Carrier Single-Block Differential Space---Frequency Coding Transmission Over the Frequency-Selective Fading Channels
Authors: Jiangzhang Zhu, Tao Jin, Qingsong Du
Venue: Wireless Personal Communications: An International Journal (2009)

In this paper, a single-carrier single-block differential space-frequency block coding scheme for multiple input multiple output frequency-selective fading channels is proposed. In the proposed scheme, an alternative constant modulus single-carrier transmission is adopted, which significantly mitigates the sensitivity to the nonlinear distortion while having comparable lower complexity to the orthogonal frequency division multiplexing modulus. Based on this, subgrouping the signal transmit matrix through the block matrix method and fatherly differential space-frequency complex orthogonal coding on each subblocks, it not only transmits the differentially encoded signal matrix within one symbol block periods regardless of the number of transmit antennas, but also achieves the available spatial and frequency diversities without the requirement of multichannel estimation at the receiver. In the proposed scheme, it is only required that the fading channels keep approximately constant within each subblock during one symbol block transmission period, and thus can be more robust and effective to combat the channel rapidly fading with even lower bit error ratio. Theoretical analysis and corroborating simulation under various channel conditions shows that, our proposed scheme yields superior performance to previously proposed differential schemes.
An Efficient Method to Reduce Peer-to-Peer Streaming Latency
Authors: Xinggong Zhang, Yan Pang, Zongming Guo
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

Recently a large number of multimedia content is streamed to millions of users through peer-to-peer networks. Most of them are based on an unstructured mesh-based topology. It results to a long end-to-end delay. Based on this consideration, this paper proposed a novel topology construction approach, LayerP2P, to construct a low-latency structured overlay for live streaming. It organize peers into a multi-layer mesh-based topology. Since the maximum relay hops in the overlay are bounded by the number of layer, the average end-to-end delay is cut down. At the same time, the overlay keeps resilient by self-organized peers in a decentralized way. Experiments carried out over a simulated network of up to 500 peers illustrate the effectiveness of our approach.
A new sentence similarity measure and sentence based extractive technique for automatic text summarization
Authors: Ramiz M. Aliguliyev
Venue: Expert Systems with Applications: An International Journal (2009)

The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presenting the user with a summary of each document greatly facilitates the task of finding the desired documents. Document summarization is a process of automatically creating a compressed version of a given document that provides useful information to users, and multi-document summarization is to produce a summary delivering the majority of information content from a set of documents about an explicit or implicit main topic. In our study we focus on sentence based extractive document summarization. We propose the generic document summarization method which is based on sentence clustering. The proposed approach is a continue sentence-clustering based extractive summarization methods, proposed in Alguliev [Alguliev, R. M., Aliguliyev, R. M., Bagirov, A. M. (2005). Global optimization in the summarization of text documents. Automatic Control and Computer Sciences 39, 42-47], Aliguliyev [Aliguliyev, R. M. (2006). A novel partitioning-based clustering method and generic document summarization. In Proceedings of the 2006 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (WI-IAT 2006 Workshops) (WI-IATW'06), 18-22 December (pp. 626-629) Hong Kong, China], Alguliev and Alyguliev [Alguliev, R. M., Alyguliev, R. M. (2007). Summarization of text-based documents with a determination of latent topical sections and information-rich sentences. Automatic Control and Computer Sciences 41, 132-140] Aliguliyev, [Aliguliyev, R. M. (2007). Automatic document summarization by sentence extraction. Journal of Computational Technologies 12, 5-15.]. The purpose of present paper to show, that summarization result not only depends on optimized function, and also depends on a similarity measure. The experimental results on an open benchmark datasets from DUC01 and DUC02 show that our proposed approach can improve the performance compared to sate-of-the-art summarization approaches.
RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences
Authors: Pratibha Rani, Vikram Pudi
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

In this paper, we present RBNBC, a Repeat Based Naive Bayes Classifier of bio-sequences that uses maximal frequent subsequences as features. RBNBC's design is based on generic ideas that can apply to other domains where the data is organized as collections of sequences. Specifically, RBNBC uses a novel formulation of Naive Bayes that incorporates repeated occurrences of subsequences within each sequence. Our extensive experiments on two collections of protein families show that it performs as well as existing state-of-the-art probabilistic classifiers for bio-sequences. This is surprising as it is a pure data mining based generic classifier that does not require domain-specific background knowledge. We note that domain-specific ideas could further increase its performance.
An application of a generalized management information system to energy policy and decision making: the user's view
Authors: John J. Donovan, Louis M. Gutentag, Stuart E. Madnick, Grant N. Smith
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

As a result of recent disruption in the world petroleum market and rapid price increases, the United States is in the process of developing energy policies that will lead to a greater degree of energy self-sufficiency, and to a reduced level of vulnerability to interruption of supply from abroad.
Cross-layer design for energy efficient communication in wireless sensor networks
Authors: Xiao-Hui Lin, Yu-Kwong Kwok, Hui Wang
Venue: Wireless Communications Mobile Computing (2009)

There is a plethora of recent research on high performance wireless communications using a cross-layer approach in that adaptive modulation and coding (AMC) schemes at wireless physical layer are used for combating time varying channel fading and enhance link throughput. However, in a wireless sensor network, transmitting packets over deep fading channel can incur excessive energy consumption due to the usage of stronger forwarding error code (FEC) or more robust modulation mode. To avoid such energy inefficient transmission, a straightforward approach is to temporarily buffer packets when the channel is in deep fading, until the channel quality recovers. Unfortunately, packet buffering may lead to communication latency and buffer overflow, which, in turn, can result in severe degradation in communication performance. Specifically, to improve the buffering approach, we need to address two challenging issues: (1) how long should we buffer the packets? and (2) how to choose the optimum channel transmission threshold above which to transmit the buffered packets? In this paper, by using discrete-time queuing model, we analyze the effects of Rayleigh fading over AMC-based communications in a wireless sensor network. We then analytically derive the packet delivery rate and average delay. Guided by these numerical results, we can determine the most energy-efficient operation modes under different transmission environments. Extensive simulation results have validated the analytical results, and indicates that under these modes, we can achieve as much as 40% reduction in energy dissipation. Copyright &copy; 2008 John Wiley Sons, Ltd.
Handbook of Research on Open Source Software: Technological, Economic, and Social Perspectives
Authors: Kirk St. Amant, Kirk St.Amant and Brian Still
Venue:  (2007)

The Handbook of Research on Open Source Software: Technological, Economic, and Social Perspectives is one of the few texts to combine OSS in public and private sector activities into a single reference source. This authoritative publication examines how the use of open source software (OSS) affects practices in society, business, government, education, and law. It provides a balance of theoretical perspectives, experiences, and cases in relation to these key areas. This thorough collection includes an overview of the culture from which OSS emerged and the development practices though which OSS is created and modified. The Handbook of Research on Open Source Software: Technological, Economic, and Social Perspectives is an international collaboration including authors from six continents and more than 12 countries. This multinational and multicultural perspective becomes crucial when making effective decisions about software in todays global policy and business environments. This text is an essential reference to business persons, policy makers, educators, and private citizens who are curious about how factors related to OSS may affect different aspects of their lives.