ppxscal/embedding_network huggingface dataset:
R2-IBN: Argumentation Based Negotiation Framework for the Extended Enterprise
Authors: Lobna Hsairi, Khaled Ghédira, Adel M. Alimi, Abdellatif Benabdelhafid
Venue: Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems (2008)

Nowadays, in order to face new challenges, extended enterprises must be up to date to the new strategic, economic and organizational structures. Consequently, intelligent software based on agent technology emerges to improve system design, and to increase enterprise competitive position as well. The competitiveness is based on the cooperation. Thus, within this cooperation, conflicts may arise. The automated negotiation plays a key role to look for a common agreement. Argumentation theory has become an important topic in the field of Multi-Agent Systems and especially in the negotiation problem. In this paper, first, an overview of an already proposed model MAIS-E2 (Multi-Agent Information System for an Extended Enterprise) is presented. Then an argumentation based negotiation framework: Relationship-Role and Interest Based Negotiation (R2-IBN) framework is presented, and within this framework, we focused mainly on, argument generation module via inference rules and argument selection module via fuzzy logic.
Dongting Lake Floodwater Diversion and Storage Modeling and Control Architecture Based on the Next Generation Network
Authors: Lianqing Xue, Zhenchun Hao, Dan Li, Xiaoqun Liu
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

Dongting Lake is one of the most important floodwater diversion and storage regions in Yangzi River basin. The development of the next generation network and information technology makes it possible to implement the remote monitoring and floodwater control effectively. By taking advantage of the next generation network and lots of 16-byte addresses of IPv6, different kinds of remote sensing devices can be accessed and monitored data can be collected and transferred to the two-dimension hydraulic model for Dongting Lake. And on the basis of real-time network data transmission and parallel algorithm the model can be operated with more unstructured meshes and the hydrological regime and gates are virtually controlled by remote sensors. When analyzing the modeling results, the input data and computing results can be revised in time according to the feedback from the high-speed internet-based system and the project operation can be effectively managed as well.
Innovation success: an empirical study of software development projects in the context of the open source paradigm
Authors: Jorge A. Colazo
Venue:  (2007)

New product development (NPD) performance is a relevant subject within operations management, particularly in the software industry. Though project managers have long tried to improve the software NPD process, a new paradigm has recently attracted their attention: the Open Source Software (OSS) model. OSS is developed collaboratively&mdash;mainly by dispersed teams of volunteers&mdash;under licensing terms that make the complete source code publicly available and allow redistribution of modified versions. In contrast to prevalent norms, OSS thrives not by enclosing intellectual property (IP) but rather by opening it through the project's license. The first research question is therefore: How do OSS licenses impact development performance? Secondly, OSS enables the collaboration of users as co-developers, prompting the question: How does the community-level structure of an OSS development project impact development performance? Finally, a "core developer team" is the locus of key decisions for the project, leading to the third question: How does the collaboration structure of the core development team impact development performance? This is an empirical field study of working OSS projects using archival data from electronic sources. NPD performance was measured using project productivity, product quality, and product popularity. Social network analysis was used for the measurement of the collaboration structure of core developer teams. The analysis was done using regression and time series techniques. Besides improving over extant work from the research design standpoint, this dissertation offers several contributions. The impact on performance of the project's IP policy in the form of license choice was confirmed and an association between the relative size of the external community and performance was found. Also, this study showed that product quality suffers when NPD projects are crowded, but that the amount of boundary spanning activity was positively associated with product quality. This is also the first study to operationalize and test the concept of temporal dispersion in distributed teams. Other contributions refer to the practical design of NPD project teams and their task allocation policy. Keywords: New Product Development, Innovation, Software Projects, Open Source Software, Productivity, Quality, Social Network Analysis Linear Regression, Time Series, Empirical Research, Archival Data Analysis. 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
Deterministic 7/8-Approximation for the Metric Maximum TSP
Authors: Łukasz Kowalik, Marcin Mucha
Venue: Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques (2008)

We present the first 7/8-approximation algorithm for the maximum traveling salesman problem with triangle inequality. Our algorithm is deterministic. This improves over both the randomized algorithm of Hassin and Rubinstein [2] with expected approximation ratio of 7/8 ¿ O(n ¿ 1/2) and the deterministic (7/8 ¿ O(n ¿ 1/3))-approximation algorithm of Chen and Nagoya [1].In the new algorithm, we extend the approach of processing local configurations using so-called loose-ends, which we introduced in [4].
A Modified Hopfield Network for Nonlinear Programming Problem Solving
Authors: Changrui Yu, Yan Luo
Venue: Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III (2007)

This paper presents an efficient approach based on Hopfield network for solving nonlinear optimization problems, with polynomial objective function, polynomial equality constraints and polynomial inequality constraints. A modified Hopfield network is developed and its stability and convergence is analyzed in the paper. Then a mapping of nonlinear optimization problems is formulated using the modified Hopfield network. Simulation results are provided to demonstrate the performance of the proposed neural network.
Two classes of novel tcp exploits and the countermeasures
Authors: Kow-Chuen Rocky Chang
Venue:  (2007)

This thesis presents two classes of novel TCP exploits and the countermeasures. In the first exploit, we have proposed a new breed of low-rate Denial-of-Service (DoS) attacks, referred to as pulsing DoS (PDoS) attacks, which abuse TCP congestion control mechanisms to throttle a victim's throughput. Comparing with traditional flooding-based DoS attacks, PDoS attacks use much less attack traffic to cause similar damage to TCP flows. Besides TCP, the dominant transport protocol today, the emerging SCTP and DCCP will also be vulnerable to PDoS attacks. On the defense side, we have proposed two new effective schemes to detect PDoS attacks. In the second exploit, we have proposed two novel network timing channels, TCPScript and Cloak, which facilitate stealthy communications in the Internet. By exploiting TCP's flow concept, sliding window, and acknowledgement mechanisms, TCPScript and Cloak provide much higher channel capacity, camouflage flexibility, and reliability than existing covert channels. Since the protocol features exploited by TCPScript and Cloak are widely adopted by modem transport protocols, similar covert channels could be imbedded in other protocols. We have also proposed new detection schemes to uncover TCPScript and Cloak channels.
An Investigation of Human Problem Solving System: Computation as an Example
Authors: Shinichi Motomura, Akinori Hara, Ning Zhong, Shengfu Lu
Venue: Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms (2007)

Although human problem solving has been investigated in a behavior based approach, it has been recognized that ignoring what goes on in human brain and focusing instead on behavior has been a large impediment to understand how human being does complex adaptive, distributed problem solving and reasoning. In the paper, we propose a methodology for investigating human problem solving process by combining ERP mental arithmetic tasks, as a case study, with multi-aspect data analysis. Preliminary results show the usefulness of our methodology.
Sensor-Based Abnormal Human-Activity Detection
Authors: Jie Yin, Qiang Yang, Jeffrey Junfeng Pan
Venue: IEEE Transactions on Knowledge and Data Engineering (2008)

With the availability of affordable sensors and sensor networks, sensor-based human activity recognition has attracted much attention in artificial intelligence and ubiquitous computing. In this paper, we present a novel two-phase approach for detecting abnormal activities based on wireless sensors attached to a human body. Detecting abnormal activities is a particular important task in security monitoring and healthcare applications of sensor networks, among many others. Traditional approaches to this problem suffer from a high false positive rate, particularly when the collected sensor data are biased towards normal data while the abnormal events are rare. Therefore, there is a lack of training data for many traditional data mining methods to be applied. To solve this problem, our approach first employs a one-class support vector machine (SVM) that is trained on commonly available normal activities, which filters out the activities that have a very high probability of being normal. We then derive abnormal activity models from a general normal model via a kernel nonlinear regression (KNLR) to reduce false positive rate in an unsupervised manner. We show that our approach provides a good tradeoff between abnormality detection rate and false alarm rate, and allows abnormal activity models to be automatically derived without the need to explicitly label the abnormal training data, which are scarce. We demonstrate the effectiveness of our approach using real data collected from a sensor network that is deployed in a realistic setting.
The Origin, Representation, and Use of Collaboration Patterns in a Medical Community of Practice
Authors: Göran Falkman, Marie Gustafsson, Olof Torgersson, Mats Jontell
Venue: Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society (2008)

Founded on the Semantic Web technologies OWL and RDF, SOMWeb is an online community of practice that is used for knowledge sharing and dissemination within an oral medicine community in Sweden. It is shown how patterns for communication and collaboration within SOMWeb can be identified and represented in OWL, in terms of knowledge components, such as ontologies describing domain knowledge, user models, and organization models. It is described how patterns could be put into use and inform the design of future versions of SOMWeb.
Hybrid Key Establishment Protocol Based on ECC for Wireless Sensor Network
Authors: Yoon-Su Jeong, Sang-Ho Lee
Venue: Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing (2007)

Efficient communication with maintenance of stability between sensor nodes is one of the most important factors in WSN. Recent studies suggest various group key management protocols for maintaining stability between sensors in spite of somewhat lower efficiency of protocol operating in WSN. This paper proposes efficient hybrid key establishment protocol for sensor network self-organized with equal distribution between sensor nodes. The proposed protocol is applicable to distributed environment with expansional aspect without control of base station, combining with elliptic curve Diffie-Hellman key establishment with implicated certificate and symmetric key encryption technology. For performance evaluation of the proposed protocol, this study dividedly evaluated storage cost, communication complexity and computation complexity and showed computation cost 1.3% lower than that of Kotzanikolaou technique.
Iteration Semirings
Authors: Zoltán Ésik
Venue: Proceedings of the 12th international conference on Developments in Language Theory (2008)

A Conway semiring is a semiring S equipped with a unary operation *:S ¿S, called star, satisfying the sum star and product star equations. An iteration semiring is a Conway semiring satisfying Conway's group equations. In this extended abstract, we review the role of iteration semirings in the axiomatization of regular languages and rational power series, and in the axiomatization of the equational theory of continuous and complete semirings.
Interactive illustrations for visualizing complex three-dimensional objects
Authors: David Salesin
Venue:  (2008)

Illustrations are essential for conveying the internal structure of complex 3D objects. This dissertation describes techniques for creating and viewing interactive digital illustrations that use dynamic cutaway and exploded views to expose important internal parts, while retaining enough context from surrounding structures to help the viewer mentally reconstruct the object. I incorporate these techniques in three prototype illustration systems: the 3D cutaway views system generates dynamic, browsable cutaway illustrations from 3D input models; the image-based exploded views system converts static 2D exploded views into interactive 2.5D illustrations; and the 3D exploded views system generates interactive exploded views from 3D models. The contributions of my work include a formal survey of illustration conventions for creating effective cutaways and exploded views, as well as new algorithmic encodings of these conventions that enable interactive tools for cutting and exploding 3D objects. I also describe techniques for authoring and viewing interactive illustrations. Overall, my work demonstrates that with the right set of tools, it is possible and practical to create interactive cutaway and exploded view illustrations that offer a compelling and dynamic viewing experience.
Verification and Validation of Web Service Composition Using Event B Method
Authors: Idir Ait-Sadoune, Yamine Ait-Ameur
Venue: Proceedings of the 1st international conference on Abstract State Machines, B and Z (2008)

The Service-Oriented Architecture based on the Web service technology emerged as a consequence of the evolution of distributed computing. One of the key ideas of this technology is the ability to create service compositions by combining and interacting with pre-exisiting services. A service is implemented, described[1], and published by a service provider in a UDDI[2] registry. The service composition is referred to an executable process that interacts with other services accomplishing its functional goal. Orchestration and Choreography[3] are the processes that allow to schedule the defined services compositions and messages exchanges. There is a wide range of industrial standardization efforts towards providing specification languages for the Web service composition. Among them BPEL (Business Process Execution Language[4]) is the most known and used orchestration language. Our work addresses the composition expressed by the orchestration and its support language BPEL. BPEL allows the designer to represent service compositions by various behavioral properties like services interactions (message exchanges), control flow constraints (sequence, iteration, conditional) or data flow constraints (exchange, modification, evaluation of data expressions).
On the Synthesis of Zero-Safe Nets
Authors: Philippe Darondeau
Venue: Concurrency, Graphs and Models: Essays Dedicated to Ugo Montanari on the Occasion of His 65th Birthday (2008)

Zero-Safe nets are an adequate framework for representing linear step automata. We define a synthesis procedure based on regions for deriving Zero-Safe nets from such automata.
Chaotic time series forecasting using locally quadratic fuzzy neural models
Authors: Mohammad J. Mahjoob, Majid Abdollahzade, Reza Zarringhalam, Ahmad Kalhor
Venue: Proceedings of the 9th WSEAS International Conference on Fuzzy Systems (2008)

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy Neural Model (LQFNM) to forecast the behavior of highly nonlinear and chaotic time series. It is based on the idea of approximating a nonlinear function with interpolated local quadratic models using a tree construction algorithm. A fast heuristic learning algorithm is integrated in the model to derive the structure as well as the parameters of the Locally Quadratic Models. Four different case studies are conducted in which the performance of the method is evaluated through comparisons with other techniques available in literature. The results confirm the accuracy and reliability of the presented method. The proposed LQFNM can be applied to time series forecasting in a wide range of real world applications.
Automatic Fingerprint Identification Using Gray Hopfield Neural Network Improved by Run-Length Encoding
Authors: Kussay Nugamesh Mutter, Zubir Mat Jafri, Azlan Abdul Aziz
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

This paper presents a new technique of fingerprint identification using Gray Hopfield Neural Network (GHNN) improved by Run-Length Encoding (RLE). Gabor filter has been used for image enhancement at the stage of enrollment and vector field algorithm for core detection as a reference point. Finding this point will enable to cover most of information around the core. GHNN deals with gray level images by learning on Bitplanes that represent the fingerprint image layers. For large number of images GHNN's memory needs very large storage space to cover all learned fingerprint images. RLE is a very simple and useful solution for saving the capacity of the net memory by encoding the stored weights, in which the weights data will reduce according to the repeated one. Experiments carried out on fingerprint images show that the proposed technique is useful in a number of different samples of fingerprint images in terms of converged images in quality, encoding and decoding performance.
An Image Watermarking Method Based on Bidimensional Empirical Mode Decomposition
Authors: Jalil Taghia, Mohammad Ali Doostari, Jalal Taghia
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05 (2008)

In this paper, we propose a blind image watermarking scheme based on bidimensional empirical mode decomposition (BEMD). BEMD is a possible 2D extension of empirical mode decomposition (EMD). We employ BEMD in watermark embedding and watermark extraction. In watermark embedding scheme at first, the original image is divided into K sub-images then in order to obtain a set of 2D-IMFs BEMD is applied to each sub-image and watermark. For watermark embedding each 2D-IMF, which is extracted from watermark, is placed instead of one of the 2D-IMFs which are extracted from each sub-image in a special procedure. On the other hand the proposed method in watermark extraction is based on BEMD and clustering method with metric, local linear structure and affine symmetry to extract watermark blindly. We perform two classes of tests in our experiments: First, we measure imperceptibility of watermark and then we examine the performance against different kinds of attacks.
Fast Link Assessment in Wireless Mesh Networks by Using Non-Constant Weight Code
Authors: Ravi Nelavelli, Rajesh Prasad, Hongyi Wu
Venue: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops (2008)

The wireless mesh network is experiencing tremendous growth with the standardization of IEEE 802.11 and IEEE 802.16 technologies. Compared to its wired counterpart, the resource (e.g., capacity) of the wireless mesh network is limited. Worst yet, the wireless link quality is time and space varying, depending on the environment and interference. In order to make efficient use of the scarce channel resource during topology formation, scheduling and routing, it is vital to understand the quality of the links in the wireless mesh network (in terms of, e.g.,probability of successful transmission, or signal to noise ratio). The existing approaches for link assessment consume substantial amount of time and thus introduce significant delay and overhead. In this paper, we propose a novel link assessment scheme where the link assessment packets are transmitted efficiently according to a set of non-constant weight codes, which achieves low collision probability within a short link assessment period. In our proposed approach, each node considers the actual nodal degree while choosing the codeword for its link assessment. In this work, we design the link assessment procedure and establish a set of theorems that provide the necessary condition for successful link assessment. Extensive simulations are carried out, showing that our proposed approach reduces link assessment delay by over 70% compared to the orthogonal optical code OOC-based approach.
A Multiscale Approach for Solving Maxwell's Equations in Waveguides with Conical Inclusions
Authors: Franck Assous, Patrick Ciarlet,  Jr.
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

This paper is devoted to the numerical solution of the instationary Maxwell equations in waveguides with metallic conical inclusions on its internal boundary. These conical protuberances are geometrical singularities that generate in their neighborhood, strong electromagnetic fields. Using some recent theoretical and practical results on curl-free singular fields, we have built a method which allows to compute the instationary electromagnetic field. It is based on a splitting of the spaces of solutions into a regular part and a singular one. The singular part is computed with the help of a multiscale representation, written in the vicinity of the geometrical singularities. As an illustration, numerical results in a rectangular waveguide are shown.