ppxscal/embedding_network huggingface dataset:
LyraNET: A Zero-Copy TCP/IP Protocol Stack for Embedded Operating Systems
Authors: Yun-Chen Li, Mei-Ling Chiang
Venue: Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (2005)

Embedded systems are usually resource limited in terms of processing power, memory, and power consumption, thus embedded TCP/IP should be designed to make the best use of limited resources. Applying zero-copy mechanism can reduce memory usage and CPU processing time for data transmission. Power consumption can be reduced as well. In this paper, we present the design and implementation of zero-copy mechanism in the target embedded TCP/IP component, LyraNET, which is derived from Linux TCP/IP codes and remodeled as a reusable software component that is independent from operating systems and hardware. Performance evaluation shows that TCP/IP protocol processing overhead can be significantly decreased by 23-56.22%. Besides, object code size of this network component is only 78% of the size of the original Linux TCP/IP stack. The experience of this study can serve as the reference for embedding Linux TCP/IP stack into a target system and improving the transmission efficiency of Linux TCP/IP by zero-copy implementation.
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology
Authors: Xian Xu, Aidong Zhang
Venue: Proceedings of the Fifth IEEE Symposium on Bioinformatics and Bioengineering (2005)

Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. However, due to the characteristics of microarray technology and the underlying biology, namely large number of genes and limited number of samples, the statistical soundness of gene selection algorithm becomes questionable. One major problem is the high false discover rate. Microarray experiment is only one facet of current knowledge of the biological system under study. In this paper, we propose to alleviate this high false discover rate problem by integrating domain knowledge into the gene selection process. Gene Ontology represents a controlled biological vocabulary and a repository of computable biological knowledge. It is shown in the literature that gene ontology-based similarities between genes carry significant information of the functional relationships [3]. Integration of such domain knowledge into gene selection algorithms enables us to remove noisy genes intelligently. We propose an add-on algorithm applied to any single gene-based discriminative scores integrating domain knowledge from gene ontology annotation. Preliminary experiments are performed on publicly available colon cancer dataset [2] to demonstrate the utility of the integration of domain knowledge for the purpose of gene selection. Our experiments show interesting results.
A New Multiscale, Curvature-Based Shape Representation Technique for Image Retrieval Based on DSP Techniques
Authors: JanKees van der Poel, Carlos Wilson Dantas de Almeida, Leonardo Vidal Batista
Venue: Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (2005)

This work presents a new multiscale, curvaturebased shape representation technique for planar curves. One limitation of the well-known Curvature Scale Space (CSS) method is that it uses only curvature zero-crossings to characterize shapes and thus there is no CSS descriptor for convex shapes. The proposed method, on the other hand, uses bidimentional - unidimentional - bidimentional transformations together with resampling techniques to retain the full curvature information for shape characterization. It also employs the correlation coefficient as a measure of similarity. In the evaluation tests, the proposed method achieved a high correct classification rate (CCR), even when the shapes were severely corrupted by noise. Results clearly showed that the proposed method is more robust to noise than CSS.
Decision-Making in an Energy System: A Knowledge-Based Solution
Authors: Kaddour Boukerche, Hakim Lounis
Venue: Proceedings of the 18th International Conference on Systems Engineering (2005)

The present work is about a solution implementing a decision-making system in the management of production of a hydroelectric network. An object-oriented rule-based architecture is proposed to ensure an intelligent and automatic management of the knowledge in use in this daily decisional process. An alternate planner-based solution is also discussed. On the other hand and for improving the forecast of natural contributions flow, we will describe how we exploit machine-learning techniques, including artificial neural networks.
Non-Functional Requirements in Industry - Three Case Studies Adopting an Experience-based NFR Method
Authors: Joerg Doerr, Daniel Kerkow, Tom Koenig, Thomas Olsson, Takeshi Suzuki
Venue: Proceedings of the 13th IEEE International Conference on Requirements Engineering (2005)

Non-functional characteristics of products can be essential for business success and are a key differentiator between a company and its competitors. This paper presents the application of a systematic, experience-based method to elicit, document, and analyze non-functional requirements. The objective of the method is to achieve a minimal and sufficient set of measurable and traceable non-functional requirements. The method gives clear guidance for the requirements elicitation, using workshops for capturing the important quality aspects and eliciting the non-functional requirements. This paper shows its application in three different settings, reporting the experience and lessons learned from industrial case studies that applied our NFR method. As the case studies were applied in different domains and performed with companies of various maturity, and since different quality attributes were considered, a set of interesting results has emerged. Therefore, each case study tells its own story about how the elicitation of NFR in industry can work. The paper discusses the different settings and gives a comparison of the different lessons we learned from the case studies.
A Mediated Reality Environment Using a Loose and Sketchy Rendering Technique
Authors: Michael Haller, Florian Landerl
Venue: Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality (2005)

In this poster, we present sketchy-ar-us, a modified, real-time version of the Loose and Sketchy algorithm used to render graphics in an AR environment. The primary challenge was to modify the original algorithm to produce a NPR effect at interactive frame rate. Our algorithm renders moderately complex scenes at multiple frames per second. Equipped with a handheld visor, visitors can see the real environment overlaid with virtual objects with both the real and virtual content rendered in a non-photorealistic style.
Spoon: annotation-driven program transformation --- the AOP case
Authors: Renaud Pawlak
Venue: Proceedings of the 1st workshop on Aspect oriented middleware development (2005)

This paper presents Spoon and its AOP extension. Spoon is a pure Java 5 framework for implementing source-level and annotation-driven program transformations. It aims to be a powerful tool to build and integrate middleware. Spoon allows for the definition of program processors and annotation processors that use Compile-Time reflection, which is achieved with an extension of Sun's APT. In particular, Spoon provides an AOP extension under the form of a set of annotation processors. With Spoon, it is possible to do comprehensive and efficient AOP in pure Java, without relying on any specific language or IDE support.
Charge trapping and detrapping in HfO2 high-K MOS capacitors using internal photoemission
Authors: D. Felnhofer, E. P. Gusev, P. Jamison, D. A. Buchanan
Venue: Microelectronic Engineering (2005)

The focus of this paper is charge trapping within HfO2 high-κ metal-oxide-semiconductor capacitors. Charge was injected by constant voltage stress and internal photoemission. Capacitance-voltage and photocurrent-voltage measurements were taken in order to determine the centroid of oxide charge within the high-κ gate stack.Shifts in photocurrent response of the A1/HfO2/SiO2/p-type Si capacitors place the centroid within the HfO2 dielectric, near the Al gate. Large flatband voltage and photocurrent shifts were measured which indicates a large density of traps within these films. Measurements and observations support the result that it is the bulk traps within the HfO2 which contribute to charge trapping.
A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents
Authors: Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi
Venue: Proceedings of the Digital Image Computing on Techniques and Applications (2005)

Compared to non-cursive scripts, optical character recognition of cursive documents comprises extra challenges in layout analysis as well as recognition of the printed scripts. This paper presents a front-end OCR for Persian/Arabic cursive documents, which utilizes an adaptive layout analysis system in addition to a combined MLP-SVM recognition process. The implementation results on a comprehensive database show a high degree of accuracy which meets the requirements of commercial use.
Asynchronous Parallel Genetic Algorithm for Congestion-Driven Placement Technique
Authors: Masaya Yoshikawa, Hidekazu Terai
Venue: Proceedings of the Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (2005)

Deep-Sub-Micron technology (DSM) of 0.18 micron and below enable the integration of logical circuits having more than 10 million gates. In such a DSM technology, layout design has become the most important design phase. This paper discusses a novel congestiondriven placement technique based on asynchronous parallel Genetic Algorithm. The proposed algorithm has a two-level hierarchical structure. For selection control, new objective functions are introduced for wire congestion and chip area. Moreover, the two kind of parallel processing suitable for hierarchical processing is introduced for reduction of run time. Experimental results show improvement comparison with conventional layout technique.
A Novel Fuzzy Approach to Recognition of Online Persian Handwriting
Authors: M. Soleymani Baghshah, S. Bagheri Shouraki, S. Kasaei
Venue: Proceedings of the 5th International Conference on Intelligent Systems Design and Applications (2005)

Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. This paper presents a novel fuzzy approach for recognizing online Persian (Farsi) handwriting which is also useful for multi-writer environments. In this approach, the representation of handwriting parameters is accomplished by fuzzy linguistic modeling. The representative features are selected to describe the shape of tokens. Fuzzy linguistic terms provide robustness against handwriting variations. The purposed method was run on a database of Persian isolated handwritten characters and achieved a relatively high recognition rate.
Personalization and Context Management
Authors: Andreas Zimmermann, Marcus Specht, Andreas Lorenz
Venue: User Modeling and User-Adapted Interaction (2005)

Supporting the individual user in his working, learning, or information access is one of the main goals of user modeling. Personal or group user models make it possible to represent and use information about preferences, knowledge, abilities, emotional states, and many other characteristics of a user to adapt the user experience and support. Nowadays, the disappearing computer enables the user to access her information from a variety of personal and public displays and devices. To support a new generation of contextualized and personalized information and services, this paper addresses the problem of context management. Context management is a new approach to the design of context-aware systems in ubiquitous computing that combines personalization and contextualization. The presented framework for context management integrates user modeling and context modeling, which can benefit from each other and give rise to more valid models for personalized and contextualized information delivery. The paper will introduce a base framework and tools for designing context-aware applications and decompose the underlying framework into its foundational components. As two illustrative application cases, the paper discusses implementations of an intelligent advertisement board and an audio-augmented museum environment.
Timed Automata with Data Structures for Distributed Systems Design and Analysis
Authors: Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo Troina
Venue: Proceedings of the Third IEEE International Conference on Software Engineering and Formal Methods (2005)

Systems of Data Management Timed Automata (SDMTAs) are networks of communicating timed automata with structures to store messages and functions to manipulate them. We prove the decidability of reachability. As an application, we model and analyze a cryptographic protocol.
New operations and regular expressions for two-dimensional languages over one-letter alphabet
Authors: Marcella Anselmo, Dora Giammarresi, Maria Madonia
Venue: Theoretical Computer Science (2005)

We consider the problem of defining regular expressions to characterize the class of recognizable picture languages in the case of a one-letter alphabet. We define a diagonal concatenation and its star and consider two different families, L(D) and L(CRD), of languages denoted by regular expressions involving such operations plus classical operations. L(D) is characterized both in terms of rational relations and in terms of two-dimensional automata moving only right and down. L(CRD) is included in REC and contains languages defined by three-way automata while languages in L(CRD) necessarily satisfy some regularity conditions. Finally, we introduce new definitions of advanced stars expressing the necessity of conceptually different definitions for iteration.
Design of A Development Platform for HW/SW Codesign ofWireless Integrated Sensor Nodes
Authors: Kashif Virk, Jan Madsen, Andreas Vad Lorentzen, Martin Leopold, Phillipe Bonnet
Venue: Proceedings of the 8th Euromicro Conference on Digital System Design (2005)

Wireless integrated sensor networks are a new class of embedded computer systems which have been made possible mainly by the recent advances in the micro and the nano technology. In order to efficiently utilize the limited resources available on a sensor node, we need to optimize its key design parameters which is only possible by making system-level design decisions about its hardware and software (operating system and applications) architecture. In this paper, we present the design of a sensor node development platform in relation to an application of wireless integrated sensor networks for sow monitoring. We also discuss the related hardware/software codesign tradeoffs.
On the Capacity of Hybrid Wireless Network in CDMA Scheme
Authors: Dai Qin-yun, Hu Xiu-lin, Zhang Yun-yu, Zhao Jun
Venue: Proceedings of the The Fifth International Conference on Computer and Information Technology (2005)

The hybrid wireless network is a novel network model, where a sparse network of base stations is placed within an ad hoc network. Throughput capacity of hybrid wireless network is an important parameter to evaluate the performance of this network model. In this paper, we propose a general framework to analyze the capacity of hybrid wireless network in CDMA scheme by Markov chain approach and derive the mathematical analytical expressions on the capacity of the finite-population system under some routing policy. Moreover, simulation results show that hybrid wireless network could be a tradeoff between centrally controlled networks and ad hoc network, which have the directive significance to network designers.
Design of a CMOS Operational Amplifier Amenable to Extreme Voltage Stress
Authors: Shaolei Quan, Meng-Yao Liu, Chin-Long Wey
Venue: Proceedings of the 20th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (2005)

Extreme voltage stress (EVS) is an attractive burn-in technique employed in production test to weed out weak chips that may cause infant mortality. Application of this technique to analog integrated circuit (IC) has, however, only achieved limited success due to the significant irregularity in circuit topology. This paper examines the issue of design for EVS in analog IC and presents several analog circuit structures use of which enhances voltage stressability of analog circuits. Based on proposed circuit concepts an operational amplifier is designed in TSMC 0.18µm CMOS technology and is simulated with HSPICE. Simulation results have shown that the designed operational amplifier is fully stressable with slight performance degradation.
A Hierarchical Neural Network Document Classifier with Linguistic Feature Selection
Authors: Chih-Ming Chen, Hahn-Ming Lee, Cheng-Wei Hwang
Venue: Applied Intelligence (2005)

In this article, a neural network document classifier with linguistic feature selection and multi-category output is presented. It consists of a feature selection unit and a hierarchical neural network classification unit. In the feature selection unit, the candidate terms are extracted from some original documents by text processing techniques, and then the conformity and uniformity of each term are analyzed by an entropy function which can measure the significance of terms. Terms with high significance are selected as input features for training neural network document classifiers. In order to reduce the input dimensions, a composition mechanism of fuzzy relation is employed to identify synonyms. By this method, a synonym thesaurus can be constructed to reduce input dimensions. To simplify the learning scheme, the well-known back-propagation learning model is used to build proper hierarchical classification units. In our experiments, a product description database from an electronic commercial company is employed. The experimental results show that this classifier achieves sufficient accuracy to help human classification. It can save much manpower and work time classifying a large database.
Exploiting finger surface as a biometric identifier
Authors: Damon L. Woodard
Venue:  (2005)

Biometrics, the discipline of establishing an individual's identity based upon physical or behavioral characteristics, has become of major research area due to the numerous applications for reliable personal identification. The performance of a biometric system is highly dependent on the chosen biometric identifier. We present a novel approach for personal identification which utilizes 3D finger surface features as a biometric identifier. Using 3D range images of the hand, a surface representation for the index, middle, and ring finger is calculated and used for comparison to determine subject similarity. We use the curvature based shape index to represent the fingers' surface. A large unique database of hand images supports the research. We use data sets obtained over time to examine the performance of each individual finger surface as a biometric identifier as well as the recognition performance obtained when combining them. The probe and gallery sets sizes are varied to determine their affect on overall system performance. We present performance results for both authentication and identification tasks which suggest, that, 3D finger surface is a viable choice as a biometric identifier.
Learning Optimal Values from Random Walk
Authors: K. P. Lam
Venue: Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (2005)

In this paper we extend the random walk example of Sutton and Barto to a multistage dynamic programming optimization setting with discounted reward. Using Bellman equations on presumed action, the optimal values are derived for general transition probability ρ and discount rate ϒ, and include the original random walk as a special case. Temporal difference methods with eligibility traces, TD(λ), are effective in predicting the optimal values for different ρ and ϒ; but their performances are found to depend critically on the choice of truncated return in the formulation when ϒ is less than 1.
Run-time Adaptive Resources Allocation and Balancing on Nanoprocessors Arrays
Authors: Danilo Pani, Giuseppe Passino, Luigi Raffo
Venue: Proceedings of the 8th Euromicro Conference on Digital System Design (2005)

Modern processor architectures try to exploit the different kind of parallelism that may be found even in general purpose applications. In this paper we present a new architecture based on an array of nanoprocessors that parallely and cooperatively support both Thread and Instruction Level Parallelism. A such architecture doesn¿t explicitly require any particular programming techniques since it has been developed to deal with standard sequential programs. Preliminary results on a model of the architecture show the feasibility of the proposed approach.
L. P. Behavior - recursion example comments
Authors: W. D. Hart
Venue: Issue 25 (December 1978) (1978)

These are comments on the recursion research results reported by C. A. Haverly in this issue of SIGMAP Bulletin. The particular figures used introduce a fascinatingly unco-operative model, with a split "useful answer" area.
A Stochastic Power-Supply Noise Reduction Technique Using Max-Flow Algorithm and Decoupling Capacitance
Authors: S. A. Moghaddam, N. Masoumi, C. Lucas
Venue: Proceedings of the Fifth International Workshop on System-on-Chip for Real-Time Applications (2005)

Nowadays, with high demand of Very Large Scale Integration (VLSI) design and also high work frequency for circuits, the related issues such as noise cancellation, reduction, and modeling have become more important. In order to overcome the power supply noise problem, in the floorplanning level, this paper develops a new mixed algorithm employing the priority-based max-flow algorithm, and decoupling capacitance insertion technique. We used this new algorithm, as a part of a floorplanner and extract the floorplan considering several objectives. A variety of important objectives are: optimum area, wire length, power supply noise reduction, and power supply network design.
Performance Analysis of UMTS Handover with the Help of WLAN
Authors: Danyan Chen, Xiaofeng Wang, A. K. Elhakeem
Venue: Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (2005)

By most predictions, fourth-generation wireless systems will be composed of heterogeneous networks. Two important constituent networks will be wireless LAN (WLAN) and cellular mobile radio systems (e.g., UMTS). WLAN is designed for low-range, high/medium data rate access and can be used as a complement to larger cellular mobile radio systems. In this paper, we consider a heterogeneous system in which WLANs are built on the boundaries of the UMTS cells with hot spots to provide additional bandwidth and to support handover between cellular cells. The cellular bandwidth reservation for handover and the new call queueing are considered. We show that such an integrated system can be modeled by a discrete 3-D Markov chain. Using this analytical model, the handover and new call blocking probabilities, queueing probability and mean queueing delay are found under various system parameters. These results then allow us not only to quantify the performance gain of integrated systems but also to optimize system parameters.
BMDP programs
Authors: Laszlo Engelman
Venue: ACM SIGSOC Bulletin (1974)

I read with interest the overviews of SOUPAC, WIT, and OSIRIS packaged programs in the Fall, 1973 SIGSOC Bulletin. The fact that one of the authors compared these programs to the BMD package is a compliment, but it should be noted that the BMD programs were developed, packaged and sealed over ten years ago.