ppxscal/embedding_network huggingface dataset:
ROAdNoC: runtime observability for an adaptive network on chip architecture
Authors: Mohammad Abdullah Al Faruque, Thomas Ebi, Jörg Henkel
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Hard-to-predict system behavior and/or reliability issues resulting from migrating to new technology nodes requires considering runtime adaptivity in future on-chip systems. Runtime observability is a prerequisite for runtime adaptivity as it is providing necessary system information gathered on-the-fly. We are presenting the first comprehensive runtime observability infrastructure for an adaptive network on chip architecture which is flexible (e.g. in choosing the routing path), hardly intrusive, and requires little additional overhead (around 0.7% of the total link bandwidth). The hardware overhead is negligible, too, and is in fact less than the hardware savings due to resource multiplexing capabilities that are achieved through runtime observability/adaptivity. As an example, our on-demand buffer assignment scheme increases the buffer utilization and decreases the overall buffer requirements by an average of 42% (the buffer area amounts to about 60% of the entire router area [19]) in our case study analysis compared to a fixed buffer assignment scheme [7]. Our runtime observability on an average also increases the connection success rate by 62% compared to the case without runtime observability for the applications from the E3S benchmark suite [6]. We show the advantages obtained through runtime observability and compare with state-of-the art communication-centric designs.
Parallel Design of Cross Search Algorithm in Motion Estimation
Authors: Fan Zhang
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

In order to facilitate the H.264/AVC implementation in application system with low bit rate; its coding algorithm should be optimized. In this paper, through analysis of the motion vector distribution in the video image and the serial search strategy, a type of parallel program based on the cross search algorithm is presented, designed and implemented. Finally this design program is played in the multi-core computer equipment, and the experimental result shows: on the premise of the coding speed of the cross search algorithm after paralleling has been greatly improved without affecting the quality of H.264 coding.
Hear-Through and Mic-Through Augmented Reality: Using Bone Conduction to Display Spatialized Audio
Authors: Robert W. Lindeman, Haruo Noma, Paulo Goncalves de Barros
Venue: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (2007)

We present a novel approach for mixing real and computer-generated audio for augmented reality (AR) applications. Analogous to optical-see-through and video-see-through techniques in the visual domain, we present Hear-Through and Mic-Through audio AR. Hear-Through AR uses a bone-conduction headset to deliver computer-generated audio, while leaving the ear canals free to receive audio from the surrounding environment. Mic-Through AR allows audio signals captured from ear-worn microphones to be mixed with computer-generated audio in the computer, and delivered to the user over headphones. We present preliminary results from an empirical user study conducted to compare a bone-conduction device, headphones, and a speaker array. The results show that subjects achieved the best accuracy using an array of speakers physically located around the listener when stationary sounds were played, but that there was no difference in accuracy between the speaker array and the bone-conduction device for sounds that were moving, and that both devices outperformed standard headphones for moving sounds.
An Efficient and Low-Cost Design Methodology to Improve SRAM-Based FPGA Robustness in Space and Avionics Applications
Authors: Marco Lanuzza, Paolo Zicari, Fabio Frustaci, Stefania Perri, Pasquale Corsonello
Venue: Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (2009)

This paper presents an efficient approach to protect an FPGA design against Single Event Upsets (SEUs). A novel configuration scrubbing core, instantiated at the top level of the user project, is used for internal detection and correction of SEU-induced configuration errors without requiring further external radiation hardened control hardware. As demonstrated in the paper, this approach combines the benefits of fast SEU faults detection with fast restoration of the device functionality and small overhead. Moreover, the proposed technique result highly versatile and can be adopted for different FPGA device families.
Stability Analysis of Discrete Hopfield Neural Networks with Weight Function Matrix
Authors: Jun Li, Yongfeng Diao, Jiali Mao, Ying Zhang, Xing Yin
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

Most matrixes of Discrete Hopfield neural networks(DHNNs) and DHNNs with delay are constant matrixes. However, most weight matrixes of DHNNses are variable in many realistic systems. So, the weight matrix and the threshold vector with time factor are considered, and DHNNs with weight function matrix (DHNNWFM) is described. Moreover, the result that if weight function matrix and threshold function vector respectively converge to a constant matrix and a constant vector that the corresponding DHNNs is stable or the weight matrix function is a symmetric function matrix, then DHNNWFM is stable, is obtained by matrix analysis.
Enhancement of heat dissipation of desktop computer chassis
Authors: S. Kong Wang, Juin Haw Hu
Venue: Proceedings of the 3rd WSEAS international conference on Circuits, systems, signal and telecommunications (2009)

The purpose of this study is to find optimal configurations for chassis heat dissipation in a passive fashion, i.e., by arranging the locations and orientations of an additional fan (if any), aided by flow-inducing openings on chassis cover, without making further hardware changes on the current design. Using a CFD software FLUENT, the results were compared with the temperature measurements of each element, and the agreement was favorable. Temperature distributions and flow fields in the chassis are examined. It is concluded that optimal configurations in terms of heat dissipation of chip-based elements do exist with proper conditions of the fan and openings. Also, the occurrence of vortices which results in poor heat dissipation was identified, and the elimination of these vortices was suggested.
Classification based on fuzzy robust PCA algorithms and similarity classifier
Authors: Pasi Luukka
Venue: Expert Systems with Applications: An International Journal (2009)

In this article, classification method is proposed where data is first preprocessed using fuzzy robust principal component analysis (FRPCA) algorithms to obtain data in a more feasible form. After this we use similarity classifier for the classification. We tested this procedure for breast cancer data and liver-disorder data. The results were quite promising and better classification accuracy was achieved than using traditional PCA and similarity classifier. Fuzzy robust principal component analysis algorithms seem to have the effect that they project these data sets in a more feasible form, and together with similarity classifier classification on accuracy of 70.25% was achieved with liver-disorder data and 98.19% accuracy was achieved with breast cancer data. Compared to the results achieved with traditional PCA and similarity classifier about 4% higher accuracy was achieved with liver-disorder data and about 0.5% higher accuracy was achieved with breast cancer data.
An improved heuristic for the capacitated arc routing problem
Authors: Luís Santos, João Coutinho-Rodrigues, John R. Current
Venue: Computers and Operations Research (2009)

The capacitated arc routing problem (CARP) is an important and practical problem in the OR literature. In short, the problem is to identify routes to service (e.g., pickup or deliver) demand located along the edges of a network such that the total cost of the routes is minimized. In general, a single route cannot satisfy the entire demand due to capacity constraints on the vehicles. CARP belongs to the set of NP-hard problems; consequently numerous heuristic and metaheuristic solution approaches have been developed to solve it. In this paper an ''ellipse rule'' based heuristic is proposed for the CARP. This approach is based on the path-scanning heuristic, one of the mostly used greedy-add heuristics for this problem. The innovation consists basically of selecting edges only inside ellipses when the vehicle is near the end of each route. This new approach was implemented and tested on three standard datasets and the solutions are compared against: (i) the original path-scanning heuristic; (ii) two other path-scanning heuristics and (iii) the three best known metaheuristics. The results indicate that the ''ellipse rule'' approach lead to improvements over the three path-scanning heuristics, reducing the average distance to the lower bound in the test problems by about 44%.
Localized algorithms for coverage boundary detection in wireless sensor networks
Authors: Chi Zhang, Yanchao Zhang, Yuguang Fang
Venue: Wireless Networks (2009)

Connected coverage, which reflects how well a target field is monitored under the base station, is the most important performance metric used to measure the quality of surveillance that wireless sensor networks (WSNs) can provide. To facilitate the measurement of this metric, we propose two novel algorithms for individual sensor nodes to identify whether they are on the coverage boundary, i.e., the boundary of a coverage hole or network partition. Our algorithms are based on two novel computational geometric techniques called localized Voronoi and neighbor embracing polygons. Compared to previous work, our algorithms can be applied to WSNs of arbitrary topologies. The algorithms are fully distributed in the sense that only the minimal position information of one-hop neighbors and a limited number of simple local computations are needed, and thus are of high scalability and energy efficiency. We show the correctness and efficiency of our algorithms by theoretical proofs and extensive simulations.
Rule generation to determine the gender of a speaker of a Japanese sentence
Authors: Kanako Komiya, Koji Fujimoto, Yashuhiro Ajima, Yoshiyuki Kotani
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

Some work has been reported on the problem of automatically determining the gender of a document's author as a part of researches to extract features of a document's author. Japanese language has expressions called masculine/feminine expression, and they can often indicate the gender of a speaker of a conversational sentence. The computer system needs this mechanism to make or understand natural Japanese conversational sentences. The authors made a system that determines the suitable gender of a speaker of a single conversational sentence and named it gender-determining system (GDS). It generates a set of rules to determine the more suitable gender of a speaker of a sentence automatically, by decision tree learning. The authors employed six linguistic features for each of two morphemes at the end of a sentence and presence or absence of morphemes whose part of speech is a general pronoun or a particle for ending as features of decision tree learning. The authors calculated the accuracy of GDS using the cross validation method and it was approximately 69.3% when human could answer the same problem with approximately 71.7%.
Stability-Guaranteed Width Control for Hot Strip Mill
Authors: Cheol Jae Park, I Cheol Hwang
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

We propose a stability-guaranteed width control (SGWC) for the hot strip finishing mill. It is shown that the proposed SGWC guarantees the stability of the width controller by the universal approximation of the neural network. It is shown through the field test in the hot strip mill of POSCO that the stability of the width controller is guaranteed by the proposed control scheme.
Plenary lecture III: Enhancement and restoration
Authors: Hector Perez-Meana
Venue: Proceedings of the 8th conference on Signal, Speech and image processing (2008)

Persons that suffer from diseases such as throat cancer require that their larynx and vocal cords be extracted by a surgical operation, and then require rehabilitation in order to be able to reintegrate to their individual, social, familiar and work activities. To accomplish this, different methods have been used, such as: The esophageal speech, the use of tracheoesophagical prosthetics and the Artificial Larynx Transducer (ALT), also known as "electronic larynx". The ALT, which has the form of a handheld device, introduces an excitation in the vocal track by applying a vibration against the external walls of the neck. This excitation is then modulated by the movement of the oral cavity to produce the speech sound. This transducer is attached to the speaker's neck, and in some cases in the speaker's cheeks. The ALT is very easy using even for new patients, although the voice produced by these transducers is unnatural and with low quality, besides that it is distorted by the ALT produced background noise. The Esophageal speech is produced through the compression of the contained air in the vocal tract with the tongue. This air is swallowed and as passing through the esophageal-pharynx segment produces a vibration of the esophageal upper muscle, bringing about the speech. The generated sound is similar to a burp, the tone is commonly very low and the timbre generally harsh. In ALT as well as in esophageal speech, the voiced segments are the most affected part of speech. Several approaches have been proposed to improve the quality and intelligibility of ALT produced, as well as esophageal speech signals. Some of them reduce the ALT produced background noise by using cepstral root subtraction or adaptive filtering. However the speech quality produced by these approaches is still poor. Another approach intended to improve the speech quality estimating the frequency band from 4 KHz to 8 KHz using the frequency band from 300Hz to 4 KHz. Although this approach may be an attractive alternative, it must be still improved. A promising approach is based on speech conversion techniques which carry out a spectral conversion using vector quantization methods. A similar approach based on a pattern recognition approach, has also been proposed, in which, firstly the voiced segments are detected and identified. Then the voiced segments are replaced by their equivalent voiced segments of normal speech while the unvoiced segments are kept without change. Finally the voiced, unvoiced and silence segments are concatenated together to produce the restored speech. These approaches perform fairly well although still present some problems because the spectral conversion reduce a continuous spectral space into a discrete code book, which may produce a distortion that still must be reduced. This speech presents a review of alaryngeal speech enhancement systems, providing also evaluation results to show the improvement in the quality and intelligibility of produced speech.
MPEG-7: Its Impact on Research, Industry, and the Consumer
Authors: V V. Vinod, Adam Lindsay
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

The forthcoming MPEG-7 standard ties together several different approaches in several different communities. It is perhaps the primary task of the standard to bring these disparate elements together and maximise the benefit to industry, consumers, and researchers. The panel will discuss a variety of current issues in MPEG-7, including the impact of such a standard, what opportunities exist for competition in technologies lying outside of the standard, the scope and issues arising from complexity of the standard, and what applications lie beyond the motivating paradigm of search and retrieval.
Cinematic Game Secrets for Creative Directors and Producers: Inspired Techniques From Industry Legends, 1st edition
Authors: Rich Newman
Venue:  (2008)

Cinematography for Games covers the space between the game and film industries by pointing out the most relevant cinematic techniques in today's hottest games, and including interviews with the game industry's greatest luminaries (including Will Wright: Sims legend, Harvey Smith, legendary game Deus Ex, Warren Spector creator of one of the original game companies, Origin).The convergence of games and film is a widely discussed and debated topic in the game industry. Many major publishers, along with some high-profile directors (John Woo, James Cameron, Steven Spielberg, Tony Scott) are exploring the middle ground between the industries. This book introduces game producers and directors to the tried and true techniques cinematographers have relied on for years.Game developers learn how to create compelling video games by: developing quality stories and characters; visualizing scenes within the game through the eyes of a cinematographer; using tried and true film industry methods for casting, voice-over, direction, and production.The book will also feature screen shots from some of today's hottest titles that illustrate key cinematic concepts, as well as advice from successful game industry professionals already using these techniques. --Author, Rich Newman has worked in the film industry(Texas Chainsaw Massacre, The Alamo) and video game industry (Midway Games) for over five years and knows how to make the most of the convergence of technologies. --With advice from some of the biggest names in the game world: ***Richard Rouse III***, Director of Game Design, Midway Games , ***Warren Spector*** creator of one of the original game companies, Origin, and ***Noah Falstein***, columnist, Game Developer magazine. --With examples from today's hottest game titles (courtesy of GamingTrend) to illustrate film techniques used in games, like the use of narrow focus in cinematography, or over-the-shoulder viewpoint style of viewpoint that makes the game have a documentary -like quality. --Interviews, case studies, and helpful glossary of terms all included.
Educational Systems (ES) in Mathematics and other related topics
Authors: Nicolaos K. Artemiadis
Venue: Journal of Computational and Applied Mathematics (2009)

This work is specifically concerned with various Educational Systems that are used for the improvement of Education in Mathematics. It is based on the speaker's as well as of others' viewpoint which has arisen from discussions about this issue at various levels and on different occasions.
E-Business Process Modelling with Finite State Machine Based Service Agents
Authors: Li Li, Yun Yang
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Nowadays organisations are willing to outsource their business processes as services and make them accesible via the Web. In doing so, they can dynamically combine individual services to their service applications. However, unless the data on the Web can be meaningfully shared and is interpretable, this objective cannot be realised. It is believed that the vision of the Web can only be realised through proliferation of well-known ontologies describing different domains. Ontologies, as a foundation of service applications, is investigated in the paper. In order to cope with the distributed computing across a wide range of domains from e-economy to e-science and e-government, agent technologies are applied to deal with service agents' on and off and to provide semantic support for implementation of complex e-business applications. Finite state machines (FSM) have been examined to facilitate process automation. Our approach targets at dynamic information sharing and reuse in e-business applications. Finally, our ontological approach is illustrated by employing FSM agents in a Web environment.
Discrete-analytical methods for the implementation of variational principles in environmental applications
Authors: Vladimir Penenko, Elena Tsvetova
Venue: Journal of Computational and Applied Mathematics (2009)

A new method of constructing numerical schemes on the base of a variational principle for models including convection-diffusion operators is proposed. An original element is the use of analytical solutions of local adjoint problems formulated for the operators of convection-diffusion within the framework of the splitting technique. This results in numerical schemes which are absolutely stable, monotonic, transportive, and differentiable with respect to the state functions and parameters of the model. Artificial numerical diffusion is avoided due to the analytical solutions. The variational technique provides strong consistency between the numerical schemes of the main and adjoint problems. A theoretical study of the new class of schemes is given. The quality of the numerical approximations is demonstrated by an example of the non-linear Burgers equation. These new schemes enhance our variational methodology of environmental modelling. As one of the environmental applications, an inverse problem of risk assessment for Lake Baikal is presented.
Study on the Intelligent CAD Technology of Body Welding Jig Based on the Knowledge
Authors: Xiaoping Xiong, Quandong Jin, Pingping Jiang
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

In order to assure the quality of welding-assembly, A great deal body welding jigs are used during the all process of automobile body production. The structure of body welding jig have resemblance. It provides the technological support and achieved probability to develop the standardized design. The intelligent CAD technology based on knowledge, based on summing up design experience and field knowledge, can build a reused knowledge database and design planning model by abstracting, describing and maintaining, to offer some index method. By analyzing and describing function and structure character of the body welding jig, This paper builds knowledge base of typical body welding jig and introduces knowledge project into conventional CAD system, which will effectively support fast realization of intelligent CAD of body welding jig.
Adaptive control framework study based on fuzzy cognitive map
Authors: Lin Chun-Mei
Venue: Proceedings of the 3rd WSEAS international conference on Computer engineering and applications (2009)

In this paper, we present an adaptive control framework, which study combines control theory with fuzzy cognitive map theory. The proposed framework utilizes the feature and the inference mechanism of FCM. The causal relationship of variables is constructed by online learning, the values of control variables are given by the inference of FCM model, and the control variables are used to adjust the controlled variables in actual process and carries out the control of multi-input and multi-out. Finally, an illustrative example is provided, its results suggest that the method is capable of FCM model.