ppxscal/embedding_network huggingface dataset:
Neural Network Integration Fusion Model and Application
Authors: Xiaodan Zhang, Feng Tian, Yuan Mu, Peigang Sun, Hai Zhao
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 01 (2007)

A new fusion model is proposed, which is the combination of BP neural networks and D-S evidence reasoning, to solve the problems of low precision rate in automotive engine fault diagnosis by traditional expert system. The method realizes feature level fusion of all subjective data and expert experiments on different parts of engine, and the predominance compensation of different models. In simulation experiment, this method proposed in this paper can improve diagnosis precision 5.0% more than expert system.
Tuning anonymity level for assuring high data quality: an empirical study.
Authors: Gerardo Canfora, Corrado Aaron Visaggio
Venue: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement (2007)

Preserving data privacy is posing new challenges to software engineering researchers. Current technologies can be too cumbersome, pervasive or costly to be successfully applied in dynamic and complex scenarios where data exchange occurs among a large number of applications. Anonymization techniques seem to be a promising candidate, even if preliminary investigations suggest that they could deteriorate the quality of data. An empirical study has been carried out in order to understand the relationship between the anonymization level and the degradation of data quality.
The Impact of Run-Time Schema Interpretation in a Network Data Model DBMS
Authors: A. J. Baroody
Venue: IEEE Transactions on Software Engineering (1982)

This paper describes a simulation study of the effect of runtime schema interpretation in a network data model database management system. To perform database operations, programmers use a data manipulation language which supports calls to the data manipulation routines. The data manipulation routines utilize database descriptors from the schema to determine which operations on the database are to be performed for a given actual parameter to the procedure. Current database systems perform the binding of schema descriptors in the data manipulation routines at run-time by interpretation. A niumber of researchers are studying methods to precompute the information required to determine the correct function to execute rather than using run-time interpretation.
A Hybrid and Efficient Scheme of Multicast Source Authentication
Authors: Jin-xin He, Gao-chao Xu, Xiao-dong Fu, Zhi-guo Zhou
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02 (2007)

Source authentication is the most important and difficult problem in multicast security, and no schemes can satisfy all multicast applications. So a Hybrid Multicast Source Authentication (HMSA) scheme was proposed based on two data structures: hashing tree and hashing chain. Compared with some other schemes in computation and communication overheads, HMSA is simple, efficient and secure.
Classifying Software for Reusability
Authors: R. Prieto-Diaz
Venue: IEEE Software (1987)

To reuse a software component, you first have to find it. The faceted scheme described here is a partial solution to this classification and retrieval problem.
Lessons Learned and Results from Applying Data-Driven Cost Estimation to Industrial Data Sets
Authors: J. Heidrich, A. Trendowicz, J. Munch, Y. Ishigai, K. Yokoyama, N. Kikuchi, T. Kawaguchi
Venue: Proceedings of the 6th International Conference on Quality of Information and Communications Technology (2007)

The increasing availability of cost-relevant data in industry allows companies to apply data-intensive estimation methods. However, available data are often inconsistent, invalid, or incomplete, so that most of the existing data-intensive estimation methods cannot be applied. Only few estimation methods can deal with imperfect data to a certain extent (e.g., Optimized Set Reduction, OSR®). Results from evaluating these methods in practical environments are rare. This article describes a case study on the application of OSR® at Toshiba Information Systems (Japan) Corporation. An important result of the case study is that estimation accuracy significantly varies with the data sets used and the way of preprocessing these data. The study supports current results in the area of quantitative cost estimation and clearly illustrates typical problems. Experiences, lessons learned, and recommendations with respect to data preprocessing and data-intensive cost estimation in general are presented.
A Novel Method for Finding Good Local Guides in Multi-objective Particle Swarm Optimization
Authors: Qing Jiang, Mutao Huang, Cheng Wang
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 03 (2007)

In multi-objective particle swarm optimization (MOPSO) methods, selecting good local guides (the global best particle) for each particle of the population from a set of Pareto-optimal solutions has a great impact on the convergence and diversity of solutions. This paper introduces the Particle angle division method as a new method for finding the global best particle for each particle of the population. The particle angle division method is implemented and is compared with adaptive grid method [7] based on the same MOPSO for different test functions. The results show our strategy can improve convergence and diversity of MOPSO largely.
Automatic extraction of framework-specific models from framework-based application code
Authors: Michal Antkiewicz, Thiago Tonelli Bartolomei, Krzysztof Czarnecki
Venue: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (2007)

Framework-specific models represent the design of pplicationcode from the framework viewpoint by showing how framework-provided concepts are implemented in the code. In this paper, we describe an experimental study of the static analyses necessary to automatically retrieve such models from application code. We reverse engineer a number of applications based on three open-source frameworks and evaluate the quality of the retrieved models. The models are expressed using framework-specific modeling languages(FSMLs), each designed for one of the open-source frameworks. For reverse engineering, we use prototype implementations of the three FSMLs. Our results show that for the considered frameworks rather simple code analysesare sufficient for automatically retrieving framework-specific models form a large body of application code with high precision and recall
Image-Based Fast 3D Individual Facial Modeling
Authors: Mandun Zhang, Zhi Li, Hongtao Wu, Ming Yu
Venue: Proceedings of the Fourth International Conference on Image and Graphics (2007)

In this paper, an image-based fast 3D facial modeling algorithm is presented. Different from traditional complex stereo vision procedure, our new method needs only one frontal image for fast 3D modeling without any camera calibration. To extract frontal feature points effectively, we propose an improved Active Shape Models (ASM) method. We can calculate the lateral parameters and estimate the depth information of facial feature points. According to MPEG-4 protocol for 3D face structure, we appoint and deform feature points by Radial Basis functions (RBF) corresponding to the generic model. The texture mapping is carried out with regard to different directional projections to generate the individual face.
A general analytic approach for SantosTM upper extremity workspace
Authors: Jingzhou Yang, Tariq Sinokrot, Karim Abdel-Malek
Venue: Computers and Industrial Engineering (2008)

Workspace is an important function for human factors analysis and is widely applied in product design, manufacturing, and ergonomics evaluations. This paper presents a general analytic method to determine the upper extremity workspace for any percentile Santos(TM), a new virtual human developed at the University of Iowa with over 100 degrees of freedom (DOFs) that is highly realistic in terms of appearance, behavior, and movement. The joint limits are considered in this formulation; three types of singularities are analyzed. A real-time scheme is used to build the workspace library for Santos(TM) that will study the boundary surfaces offline and apply them to Santos(TM) in the virtual environment (Virtools^(R)). To visualize the workspace, we develop a user interface to generate the cross-section of the reach envelope with a plane. This is the first step in investigating the zone differentiation that divides zones based on different human performance measures, and will be helpful in layout design and other human factors analysis.
Multimodal interfaces in semantic interaction
Authors: Naoto Iwahashi, Mikio Nakano
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

This workshop addresses the approaches, methods, standardization, and theories for multimodal interfaces in which machines need to interact with humans adaptively according to context, such as the situation in the real world and each human's individual characteristics. To realize such interaction -as semantic interaction-, it is necessary to extract and use the valuable context information needed for understanding interaction from theobtained real-world information. In addition, it is important for the user and the machine to share knowledge and an understanding of a given situation naturally through speech, images, graphics, manipulators, and so on. Submitted papers address these topics from diverse fields, such as human-robot interaction, machine learning, and game design.
An asymptotic approximation for incomplete Gauss sums. II
Authors: R. B. Paris
Venue: Journal of Computational and Applied Mathematics (2008)

An expansion for the incomplete Gauss sum S"m(x;p)=@?"j"="0^m^-^1exp(@pixj^p), p>1 is obtained for x->0^+ for values of m corresponding to the principal spiral 1=
Special Feature: Program Desin and Rhetoric
Authors: J. A. Lehman
Venue: IEEE Software (1986)

Remarkable parallels-in both problems faced and solutions developed- exist between rhetoric and program design. Could training in rhetoric improve programming skill?
HARD: Hardware-Assisted Lockset-based Race Detection
Authors: Pin Zhou, Radu Teodorescu, Yuanyuan Zhou
Venue: Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture (2007)

The emergence of multicore architectures will lead to an increase in the use of multithreaded applications that are prone to synchronization bugs, such as data races. Software solutions for detecting data races generally incur large overheads. Hardware support for race detection can significantly reduce that overhead. However, all existing hardware proposals for race detection are based on the happens-before algorithm which is sensitive to thread interleaving and cannot detect races that are not exposed during the monitored run. The lockset algorithm addresses this limitation. Unfortunately, due to the challenging issues such as storing the lockset information and performing complex set operations, so far it has been implemented only in software with 10-30 times performance hit. This paper proposes the rst hardware implementation (called HARD) of the lockset algorithm to exploit the race detection capability of this algorithm with minimal over-head. HARD ef ciently stores lock sets in hardware bloom lters and converts the expensive set operations into fast bitwise logic operations with negligible overhead. We evaluate HARD using six SPLASH-2 applications with 60 randomly injected bugs. Our results show that HARD can detect 54 out of 60 tested bugs, 20% more than happens-before, with only 0.1-2.6% of execution overhead. We also show our hardware design is cost-effective by comparing with the ideal lockset implementation, which would require a large amount of hardware resources.
Federal law protecting your right to privacy
Authors: James Poage
Venue: ACM SIGCAS Computers and Society (1975)

Privacy, like security, is something everyone wants. Asked to define privacy, people usually settle for "the right to be left alone." However, a little reflection reveals that it is nearly impossible to be left alone in a highly organized, complex society that offers security. If people want Social Security they must be willing to reveal personal data such as age, sex, marital status and income. If people wish life insurance they must reveal medical data as well as their credit rating. If people wish to legally operate a motor vehicle they must reveal identifying information and mailing address. In these, as in almost all cases, an individual gives up some personal information, some piece of personal privacy, in order to obtain some benefit from "the system." 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
The Proposed IEEE 855 Microprocessor Operating Systems Interface Standard
Authors: Don Jackson, Jack Cowan
Venue: IEEE Micro (1984)

By providing a set of virtual machine interfaces to the applications programmer, MOSI takes an important step in the direction of portable application software.
Semantic Web Services, Part 1
Authors: David Martin, John Domingue, Michael L. Brodie, Frank Leymann
Venue: IEEE Intelligent Systems (2007)

Semantic Web services (SWS) has been a vigorous technology research area for about six years, producing a great deal of innovative work. This two-part installment of Trends & Controversies discusses what has been accomplished in SWS, what value it can ultimately provide, and where we should go from here to reap these technologies' benefits.
Effectiveness of Private Caches in Multiprocessor Systems with Parallel-Pipelined Memories
Authors: F. A. Briggs
Venue: IEEE Transactions on Computers (1983)

A possible design alternative for improving the performance of a multiprocessor system is to insert a private cache between each processor and the shared memory. The caches act as high-speed buffers by reducing the effective memory access time, and affect the delays caused by memory conflicts. In this paper, we study the effectiveness of caches in a multiprocessor system. The shared memory is pipelined and interleaved to improve the block transfer rate, and it assumes a two-dimensional organization, previously studied under random and word access. An approximate model is developed to estimate the processor utilization and the speed-up improvement provided by the caches.
A Robot Programming Based on Frame Representation of Knowledge
Authors: Shigeto Aramaki, Tatsuichiro Nagai, Masato Kawamura, Koutarou Yayoshi, Yasutaka Hatada, Tomoaki Tsuruoka
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

We have developed the method of a robot programming by using frame like knowledge base in order to compose the multi-modal human-robot interface. The concept of object oriented programming, the case grammar, and the Conceptual Dependency theory (CD theory) is introduced into this knowledge base in order that the total system can be easily and naturally composed. In this system, a robot can interact with humans in the voice and the finger pointing. Furthermore, termination condition of a robot task can be easily realized by using CD theory, and the robustness of robot tasks is improved. We carried out the work experiment by using actual humanoid robot and the effectiveness was confirmed.
A secret image sharing method using integer wavelet transform
Authors: Chin-Pan Huang, Ching-Chung Li
Venue: EURASIP Journal on Advances in Signal Processing (2007)

A new image sharing method, based on the reversible integer-to-integer (ITI) wavelet transform and Shamir's (r, m) threshold scheme is presented, that provides highly compact shadows for real-time progressive transmission. This method, working in the wavelet domain, processes the transform coefficients in each subband, divides each of the resulting combination coefficients into m shadows, and allows recovery of the complete secret image by using any r or more shadows (r ≤=m). We take advantages of properties of the wavelet transform multiresolution representation, such as coefficient magnitude decay and excellent energy compaction, to design combination procedures for the transform coefficients and processing sequences in wavelet subbands such that small shadows for real-time progressive transmission are obtained. Experimental results demonstrate that the proposed method yields small shadow images and has the capabilities of real-time progressive transmission and perfect reconstruction of secret images.
Decreased effectiveness of on-chip decoupling capacitance in high-frequency operation
Authors: Hiroshi Yamamoto, Jeffrey A. Davis
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

This paper shows the decreased effectiveness of on-chip decoupling capacitance in high-frequency operation. On-chip decoupling capacitance is often used to decrease the variation of the propagation delay caused by power/ground noise, i.e., dynamic IR-drop and/or delta-I noise. However, it is shown in this paper that decoupling capacitance is only effective for coping with dynamic IR-drop if the recharging time between switching events is sufficient. In other words, the effectiveness of decoupling capacitance for dynamic IR-drop in high-frequency operation is less than that of a fully-charged decoupling capacitor. The recharging time and the effectiveness of a decoupling capacitor depend on the propagation delay of the average circuit path which is used to determine the total switching current of a given macro/chip and clock cycle time. If the propagation delay of the critical paths is approximately equal to that of the average circuit path, then it is shown in this paper that adding decoupling capacitance never improves the maximum frequency of the system due to dynamic IR-drop limitations. On the other hand, if the propagation delay of the critical paths is larger than that of the average circuit path, then the maximum frequency is improved by adding decoupling capacitance. In both cases, a new metric, called the apparent capacitance, can be used to help make correct decisions about decoupling capacitance planning.
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function
Authors: Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias
Venue: Neurocomputing (2007)

Several implementations of Feedforward Neural Networks have been reported in scientific papers. These implementations do not allow the direct use of off-line trained networks. Usually, the problem is the lower precision (compared to the software used for training) or modifications in the activation function. In the present work, a hardware solution called Artificial Neural Network Processor, using a FPGA, fits the requirements for a direct implementation of Feedforward Neural Networks, because of the high precision and accurate activation function that were obtained. The resulting hardware solution is tested with data from a real system to confirm that it can correctly implement the models prepared off-line with MATLAB.
Fault Diagnosis Model Based on the Fusion of Hybrid Neural Network And Ant Colony Optimization Algorithm
Authors: Zhisheng Zhang, Yaming Sun
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

In this paper, fault diagnosis model based on the fusion of hybrid neural network (HNN) and ant colony optimization algorithm (ACOA) is presented. The associated rules are extracted based on rough set theory and are used as the theoretic basis of the connection mechanism of higher-order NN, which was composed with the feedforward NN, the hybrid NN model is constructed. ACOA was used to optimize solving and to improve the generalization performance of HNN model. Hence the construction of presented model possesses theoretical significance and may ensure to take optimization performance and to enhance the generalization ability. Through the simulation and the analysis of fault-tolerance performance (FTP), it shows that the model based on the fusion of HNN and ACOA can effectively enhance the generalization ability and the FTP.
Synchronised Encoding of GPS NMEA Messages onto High Definition Video Streams
Authors: P. Lewis, A. Winstanley, T. McCarthy
Venue: Proceedings of the International Machine Vision and Image Processing Conference (2007)

Consumer awareness and retail penetration of High Definition (HD) technologies has increased dramatically over the last few years. This has led not only to increased interest and expectation of these technologies but also affordability of equipment. Global Positioning Systems (GPS) have also seen a very dramatic increase in consumer exposure and affordability with in car navigation systems, as an example, becoming more common place. The integration of HD Video (HDV) and GPS offers new research and development directions in many of the application areas that spatial video has played a role in to date. These include many mapping and navigation application areas such vehicular route corridor surveys, aerial and marine studies and Location Based Services (LBS).
TNC-compatible NAC System implemented on Network Processor
Authors: An'an Luo, Chuang Lin, Zhen Chen, Xuchai Peng, Peter D. Ungsunan
Venue: Proceedings of the 32nd IEEE Conference on Local Computer Networks (2007)

In this paper, based on the Trusted Network Connect architecture, we designed a novel TNC-compatible Network Access Control System which ensures that network administrators enforce security policies on endpoint connection and communication with corporate network depending on the endpoint integrity and security status. The platform framework is built on the Intel IXP2400 network processor and a set of network access control mechanisms is implemented. The paper introduces the system design and implementation based on hardware characteristic of the IXP2400 Architecture, presents emulation performance results of the system, and then proposes systemic performance optimizations, especially cryptographic performances, according to IXP2400 shared memory hierarchy and access latency, which averagely boost the throughput more than 25%. The novelty of system design is the utilization of IXP2400 multi-core and multi-thread network processor's software and hardware platform to implement the NAC system framework through secure and reliable communication to ensure endpoint integrity and platform-authentication, which is compatible with Trusted Network Connect.
Analytical Models for Epidemics in Mobile Networks
Authors: James W. Mickens, Brian D. Noble
Venue: Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (2007)

Mobile computer networks are formed by portable elec- tronic devices like cellphones or laptops that can establish transient, point-to-point communication links using short- range radios. To model the spread of viruses across these networks, we must explicitly account for node movement and non-homogeneous connectivity distributions. Using coupled differential equations, we introduce a new epidemi- ological model for mobile networks, finding that increased node velocities lead to more virulent epidemics. We also introduce a stochastic model which is more suitable for net- works containing few hosts.