ppxscal/embedding_network huggingface dataset:
KZCAN: A Kautz Based Content-Addressable Network
Authors: Jiguo Yu, Jingjing Song, Wenjun Liu, Li Zhao, Baoxiang Cao
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02 (2007)

The topological properties of Peer-to-Peer (P2P) overlay networks are critical factors that dominate the performance of these systems. The P2P networks need a topology with arbitrary size and degree, while the Kautz digraph is a topology with good properties such as constant degree and optimal network diameter O(log_d n). In this paper, We describe that KZCAN is a navel P2P network with constant expected degree. It is based on an overlay network preserving Kautz digraph connections dynamically, and on a distributed hash table (DHT) supporting efficient publish and search procedures. KZCAN shows that the DHT scheme with constant expected degree and can achieve log_{d}(n/(d+1))+1 diameter. The routing length of KZCAN is shorter than CAN or D2B with the same degree when the P2P network is large scale.
Towards a natural language semantics without functors and operands
Authors: Miklós Erdélyi-Szabó, László Kálmán, Agi Kurucz
Venue: Journal of Logic, Language and Information (2008)

The paper sets out to offer an alternative to the function/argument approach to the most essential aspects of natural language meanings. That is, we question the assumption that semantic completeness (of, e.g., propositions) or incompleteness (of, e.g., predicates) exactly replicate the corresponding grammatical concepts (of, e.g., sentences and verbs, respectively). We argue that even if one gives up this assumption, it is still possible to keep the compositionality of the semantic interpretation of simple predicate/argument structures. In our opinion, compositionality presupposes that we are able to compare arbitrary meanings in term of information content. This is why our proposal relies on an `intrinsically' type free algebraic semantic theory. The basic entities in our models are neither individuals, nor eventualities, nor their properties, but `pieces of evidence' for believing in the `truth' or `existence' or `identity' of any kind of phenomenon. Our formal language contains a single binary non-associative constructor used for creating structured complex terms representing arbitrary phenomena. We give a finite Hilbert-style axiomatisation and a decision algorithm for the entailment problem of the suggested system.
Agent-based Trust Model in Wireless Sensor Networks
Authors: Haiguang Chen, Huafeng Wu, Xi Zhou, Chuanshan Gao
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03 (2007)

Wireless Sensor Networks (WSNs) have an excellent application to monitor environments such as military surveillance and forest fire. However, in many scenarios, WSNs are of interested to adversaries and these sensor nodes are deployed in open and unprotected environments, the security of WSNs is still an important issue. Traditionally cryptographic mechanisms such as authentication and encryption only address part of the problem of security in WSNs. In recent years, the use of reputation and trust systems has become an important mechanism for security in WSNs. In this paper, we develop a distributed agent-based trust model in WSNs. We also discuss some attacks in reputation and trust system, and offered some schemes to defense these attacks. The simulation results and analysis show that our model can detect the malicious nodes fast and accurately and efficiently prevent these attacks in WSNs.
Geometric Modeling for Swept Volume of Moving Solids
Authors: W. p. Wang, K. k. Wang
Venue: IEEE Computer Graphics and Applications (1986)

The modeling of swept volume is important in simulating the interference between a moving solid and its environment. This article presents a novel method for modeling swept voume by computing a family of critical curves from a moving solid. Based on this approach, a system has been developed for real-time verification of NC tool paths using computer graphics.
Self-monitoring of web-based information disclosure
Authors: Kulsoom Abdullah, Gregory Conti, Edward Sobiesk
Venue: Proceedings of the 2007 ACM workshop on Privacy in electronic society (2007)

Free online tools such as search, email and mapping come with a cost. Web users obtain such services by making micropayments of personal and organizational information to the web service providers. Web companies use this information to create customized advertising and tailored user experiences. Individually, each transaction appears innocuous, but when aggregated, the result is often highly sensitive. The impact of AOL.s inadvertent disclosure of 20 million nominally anonymized search queries underscores the pressing need for increasing web privacy and raising user awareness of the problem. Rather than advocate extreme legal and policy measures to address the dilemma, this paper proposes an equitable self-monitoring solution. Self-monitoring allows individual users and large enterprises to regulate their web-based interactions intelligently and still allow online companies to innovate and flourish. The primary contributions of our work includes exploration of visualization techniques that support self-monitoring, a human-centric evaluation and the results of a user requirements survey.
Towards scalable and secure execution platform for embedded systems
Authors: Inoue Hiroaki, Masato Edahiro, Junji Sakai
Venue: Proceedings of the 2007 Asia and South Pacific Design Automation Conference (2007)

Reliability of embedded systems can be enhanced by multicore and partitioning approaches. Physical partitioning based on AMP multicore achieves runtime stability of multiple applications in a system and prevents the whole system shutdown as well even when a malicious code creeps in. Combined with logical partitioning by processor virtualization and SNP technologies, the multicore architecture could realize more flexible and more scalable platform for future embedded systems.
Recognition of Fragmented Characters Using Multiple Feature-Subset Classifiers
Authors: C.-H. Chou, C.-Y. Guo, F. Chang
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01 (2007)

This paper addresses the problem of recognizing fragmented characters in printed documents of poor printing quality, which often causes characters to break up. To enhance the recognition accuracy of such char- acters, most existing approaches attempt to improve the quality of character images by means of some mending techniques. We propose an alternative approach that adopts a bagging-predictor method to build classifiers, using only intact characters as training samples. The resultant classifiers can classify both intact and frag- mented characters with a high degree of accuracy. Ap- plying this approach to characters in archived Chinese newspapers, we extract two types of features from character images and form bagging predictors, each of which takes a subset of features as input. As a result, we are able to achieve drastic improvements in the recog- nition of fragmented characters.
Geographical Characterization of YouTube: a Latin American View
Authors: Fernando Duarte, Fabricio Benevenuto, Virgilio Almeida, Jussara Almeida
Venue: Proceedings of the 2007 Latin American Web Conference (2007)

Online social media applications have exploded in popularity in the Web. In most of these applications, users interact with other users and create content that becomes available on the Web, such as textual information, photos, and videos. YouTube is the largest online social video sharing service, that generates a huge amount of Web traffic. This paper presents a geographical characterization of YouTube usage. It analyzes video and user characteristics for different geographical regions, concentrating mainly on Latin America. We develop efficient crawlers for collecting data about videos and users. Because the number of videos and users is very large, we sample from the object spaces, sampling over 2 million videos and 5 million users. Based on the collected data, we show that there exists relationships between geography and the social network features available in YouTube. We present evidences that indicate that geography creates a locality space in YouTube, which could be used to explore infrastructure improvements, such as caching, content distribution networks and broadband pricing mechanisms.
Language Development Tools on the Unix System
Authors: S. C. Johnson
Venue: Computer (1980)

Several tools-originally intended for developing "classical" compilers-have also proved useful in a variety of application programs.
On Geometric Aggregation over Interval-Valued Intuitionistic Fuzzy Information
Authors: Zeshui Xu, Jian Chen
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02 (2007)

The notion of interval-valued intuitionistic fuzzy set (IVIFS) was introduced by Atanassov and Gargov [1] as a generalization of an intuitionistic fuzzy set [2]. The fundamental characteristic of IVIFS is that the values of its membership function and non-membership function are intervals rather than exact numbers. Some operators have been proposed for aggregating intuitionistic fuzzy sets. However, it seems that there is little investigation on aggregation techniques for dealing with interval-valued intuitionistic fuzzy information. In this work, we develop some interval-valued intuitionistic fuzzy geometric operators, such as the interval-valued intuitionistic fuzzy ordered weighted geometric (IIFOWG) operator, and interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator, etc., which are the generalizations of the geometric aggregation operators based on intuitionistic fuzzy sets [3]. Then we apply the developed operators to solve a multiple attribute decision-making problem involving the prioritization of a set of information technology improvement projects.
ACID: Automatic Sort-Map Classification for Interactive Process Diagnosis
Authors: Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli
Venue: IEEE Design Test (2007)

Process diagnosis is critical to the semiconductor industry. Early detection of faulty process steps can dramatically reduce business losses and accelerate the development cycle of new products. This article proposes a novel methodology called AC/ID (automatic classification/interactive diagnosis) that can isolate the root causes of yield loss by combining end-of-line tests (such as wafer sort test) with process history information. The authors have automated the AC/ID methodology in a software tool, ACID (Automatic Classification for Interactive Design), which is fully operational at industrial production sites.
Efficient hybrid DCT-domain algorithm for video spatial downscaling
Authors: Nuno Roma, Leonel Sousa
Venue: EURASIP Journal on Advances in Signal Processing (2007)

A highly efficient video downscaling algorithm for any arbitrary integer scaling factor performed in a hybrid pixel transform domain is proposed. This algorithm receives the encoded DCT coefficient blocks of the input video sequence and efficiently computes the DCT coefficients of the scaled video stream. The involved steps are properly tailored so that all operations are performed using the encoding standard block structure, independently of the adopted scaling factor. As a result, the proposed algorithm offers a significant optimization of the computational cost without compromising the output video quality, by taking into account the scaling mechanism and by restricting the involved operations in order to avoid useless computations. In order to meet any system needs, an optional and possible combination of the presented algorithm with high-order AC frequency DCT coefficients discarding techniques is also proposed, providing a flexible and often required complexity scalability feature and giving rise to an adaptable tradeoff between the involved scalable computational cost and the resulting video quality and bit rate. Experimental results have shown that the proposed algorithm provides significant advantages over the usual DCT decimation approaches, both in terms of the involved computational cost, the output video quality, and the resulting bit rate. Such advantages are even more significant for scaling factors other than integer powers of 2 and may lead to quite high PSNR gains.
Towards Large-scale High-Performance English Verb Sense Disambiguation by Using Linguistically Motivated Features
Authors: Jinying Chen, Dmitriy Dligach, Martha Palmer
Venue: Proceedings of the International Conference on Semantic Computing (2007)

In this paper we describe the results of training high performance Word Sense Disambiguation (WSD) systems on a new data set based on groupings of WordNet senses. This data set is designed to provide clear sense distinctions with sufficient examples in order to provide high quality training data. The sense distinctions are based on explicit syntactic and semantic criteria. Our WSD features utilize similar syntactic and semantic linguistic information. We demonstrate that this approach, using both Maximum Entropy and SVM models, produces systems whose performance is comparable to that of humans.
Correlative Relationship of Learning-Oriented Organizational Innovation and Technological Innovation in Chinese High-tech Manufacturing Firms
Authors: Chong Xin, Chun-sheng Shi
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

Innovation is viewed as the most important resource that a firm might employ to attain competitive advantage. How to organize and integrate innovative activities to enhance competitive capability is intractable for both the firm managers and the scholars. Aiming at the problem above a correlative model between the learning-oriented organizational innovation (LOOI) and technological innovation (TI) is proposed. By using survey questionnaire and in-depth interviews in 347 high-tech manufacturing enterprises, empirical study is carried on applying structural equation modeling (SEM) to analyze the influencing ways and degrees of the two kinds of innovative activities and the results show that LOOI and TI have significant, direct, and positive impacts on each other. Some beneficial tactics is proposed about adopting the impact efficiency to promote the successful implementation of innovation for the high-tech manufacturing firms.
Gene expression network analysis and applications to immunology
Authors: Şerban Nacu, Rebecca Critchley-Thorne, Peter Lee, Susan Holmes
Venue: Bioinformatics (2007)

We address the problem of using expression data and prior biological knowledge to identify differentially expressed pathways or groups of genes. Following an idea of Ideker et al. (2002), we construct a gene interaction network and search for high-scoring subnetworks. We make several improvements in terms of scoring functions and algorithms, resulting in higher speed and accuracy and easier biological interpretation. We also assign significance levels to our results, adjusted for multiple testing. Our methods are succesfully applied to three human microarray data sets, related to cancer and the immune system, retrieving several known and potential pathways. The method, denoted by the acronym GXNA (Gene eXpression Network Analysis) is implemented in software that is publicly available and can be used on virtually any microarray data set. Contact: serban@stat.stanford.edu Supplementary information: The source code and executable for the software, as well as certain supplemental materials, can be downloaded from http://stat.stanford.edu/~serban/gxna.
Special Feature: An Architecture for Real-Time Software Systems
Authors: T. P. Baker
Venue: IEEE Software (1986)

The Rex approach to software architecture views executives as independently programmable machines that execute conventional-language application procedures as individual instructions of a higher-level program.
Wireless Sensor Network for Mobile Entities Localization People Monitor
Authors: Antonio Pereira, Arnaldo Monteiro, Lino Nunes, Nuno Costa
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

The new developments in the communication, computation and sensing areas have been stimulating the hardware components miniaturization and optimization for the past few years. This evolution provided the ascension of wireless sensor networks (WSNs). This paper reports on our experience with the implementation and deployment of a Wireless Sensor Network capable of monitoring mobile entities in a specific area. This project included the development of a network management application called "People Monitor" and the network nodes application in order to detect the presence and absence of entities, in this case, human beings.
A Voltage and Resource Synthesis Technique for Energy-Aware Real-time Systems
Authors: Dong-In Kang, Stephen P. Crago, Jinwoo Suh, Janice McMahon
Venue: Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (2007)

We consider a resource synthesis technique for realtime systems where dynamic voltage scaling is supported, the energy budget is limited, and the performance of the system depends on how resources and energy are used. We propose a resource synthesis technique that derives both the supply voltages and the resource allocation of the tasks in the system to maximize system performance. The resulting system satisfies real-time schedulability and energy requirements.
Applying Systematic Reviews to Diverse Study Types: An Experience Report
Authors: Tore Dyba, Torgeir Dingsoyr, Geir K. Hanssen
Venue: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement (2007)

Systematic reviews are one of the key building blocks of evidence-based software engineering. Current guidelines for such reviews are, for a large part, based on standard meta-analytic techniques. However, such quantitative techniques have only limited applicability to software engineering research. In this paper, therefore, we describe our experience with an approach to combine diverse study types in a systematic review of empirical research of agile software development.
IP fast reroute with failure inferencing
Authors: Junling Wang, Srihari Nelakuditi
Venue: Proceedings of the 2007 SIGCOMM workshop on Internet network management (2007)

Five nines availability is being expected from IP networks due to the growing popularity of IP telephony and the increasing usage of the Internet for mission-critical applications. This necessitates enhancing the resiliency of IP networks against transient failures that are observed to happen relatively frequently even in well-managed networks. Towards that end, we proposed failure inferencing based fast rerouting (FIFR) approach that exploits the existence of a forwarding table per line-card, for lookup efficiency in current routers, to provide fast rerouting similar to MPLS, while adhering to the destination-based forwarding paradigm. Earlier, we have shown that FIFR can deal with either single link or single node failures in a network consisting of point-to-point links with symmetric link weights. In this paper, we generalize FIFR to handle both link and node failures in networks with asymmetric link weights and multi-access links too. Furthermore, we apply FIFR for protecting against inter-AS failures also. With these extensions, we argue that FIFR elevates the resiliency of any IP network with minimal changes to the forwarding and routing planes.
Symbolic Gray Code as a Perfect Multiattribute Hashing Scheme for Partial Match Queries
Authors: C. C. Chang
Venue: IEEE Transactions on Software Engineering (1982)

In this paper, we shall show that the symbolic Gray code hashing mechanism is not only good for best matching, but also good for partial match queries. Essentially, we shall propose a new hashing scheme, called bucket-oriented symbolic Gray code, which can be used to produce any arbitrary Cartesian product file, which has been shown to be good for partial match queries. Many interesting properties of this new multiattribute hashing scheme, including the property that it is a perfect hashing scheme, have been discussed and proved.
FASE: A Framework for Scalable Performance Prediction of HPC Systems and Applications
Authors: Eric Grobelny, David Bueno, Ian Troxel, Alan D. George, Jeffrey S. Vetter
Venue: Simulation (2007)

As systems of computers become more compleX in terms of their architecture, interconnect and heterogeneity, the optimum configuration and utilization of these machines becomes a major challenge. To reduce the penalties caused by poorly configured systems, simulation is often used to predict the performance of key applications to be eXecuted on the new systems. Simulation provides the capability to observe component and system characteristics (e.g. performance and power) in order to make vital design decisions. However, simulating high-fidelity models can be very time consuming and even prohibitive when evaluating large-scale systems. The Fast and Accurate Simulation Environment (FASE) framework seeks to support large-scale system simulation by using high-fidelity models to capture the behavior of only the performance-critical components while employing abstraction techniques to capture the effects of those components with little impact on the system. In order to achieve this balance of accuracy and simulation speed, FASE provides a methodology and associated toolset to evaluate numerous architectural options. This approach allows users to make system design decisions based on quantifiable demands of their key applications rather than using manual analysis which can be error prone and impractical for large systems. The framework accomplishes this evaluation through a novel approach of combining discrete-event simulation with an application characterization scheme in order to remove unnecessary details while focusing on components critical to the performance of the application. In this paper, we present the methodology and techniques behind FASE and include several case studies validating systems constructed using various applications and interconnects.
Local Area Network Modeling for Performance Prediction
Authors: Paulo Salvador, Antonio Nogueira, Rui Valadas
Venue: Proceedings of the 32nd IEEE Conference on Local Computer Networks (2007)

This paper proposes a new approach to the modeling of packet switching networks that is based only on measurements (or simulations) and does not require any information on the network structure. Network managers usually need to assess network behavior for varying number of users or evolving traffic profiles, even without a complete knowledge of the network topology or resources. In these cases, it is critical to have a framework that, based on existing measurements and/or mathematical models (that describe the evolution of the number of users and their traffic profiles), infer the future network quality of service (QoS) parameters. Using these predictions, the network manager can take substantiated decisions on the need for resources reallocation or upgrading.