ppxscal/embedding_network huggingface dataset:
Home Media Networks Quick Course; Systems, Technology and Operation
Authors: Lawrence Harte
Venue:  (2007)

This book explains why and how different types of home media network systems are used to provide audio, data and video media distribution throughout a home or business. You will learn the basic needs for audio, data and video distribution and how existing or new wireless and wired systems in a home can be used to control and deliver media. Discover how media signals can be converted to a common packet digital format (data) so they can be transferred over home data networks. You will learn about the different types of home data transmission types including telephone line, power line wireless and coaxial lines and wired data lines. Learn how home networks have evolved from basic data services for Internet access to guaranteed Quality of Service (QoS) for telephone and television services. Discover the different types of access control systems used in home networks including random data access and reserved media control and how the different types of access control methods can share the same type of system. Home networking systems use key technologies to provide for reliable high-speed data transmission including adaptive modulation, echo control, synchronized transmission, interference avoidance, power level control and channel bonding. The key types of home networks are described which include HomePNA, HomePlug, DHS, HD-PLC, MOCA, TVNet, 802.11 and Wireless LAN and how these systems can co-exist with each other. Some of the most important topics featured include: . Multimedia Distribution Needs . Transmission over Phone line, Power Line, Coax, Data Cable and Wireless. . Access Control Processes . Key Technologies Used in Home Networks . Home Network Mixed Media Operation . HomePNA, HomePlug, DHS, HD-PLC, TVNet, MOCA and Wi-Fi . Device and System Co-existence . Portable Media Rights . Media Management using DLNA 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
Supporting the Development of Mobile Adaptive Learning Environments: A Case Study
Authors: Estefanía Martín, Rosa M. Carro
Venue: IEEE Transactions on Learning Technologies (2009)

In this paper, we describe a system to support the generation of adaptive mobile learning environments. In these environments, students and teachers can accomplish different types of individual and collaborative activities in different contexts. Activities are dynamically recommended to users depending on different criteria (user features, context, etc.), and workspaces to support the corresponding activity accomplishment are dynamically generated. In this article, we present the main characteristics of the mechanism that suggests the most suitable activities at each situation, the system in which this mechanism has been implemented, the authoring tool to facilitate the specification of context-based adaptive m-learning environments, and two environments generated following this approach will be presented. The outcomes of two case studies carried out with students of the first and second courses of &#x201C;Computer Engineering&#x201D; at the &#x201C;Universidad Aut&#x00F3;noma de Madrid&#x201D; are also presented.
'No representation without information flow': measuring efficacy and efficiency of representationan: an information theoretic approach
Authors: Junkang Feng, Yang Wang
Venue: WSEAS Transactions on Computers (2009)

Representation is a key concept for semiotics and for information systems. Stamper's framework may be seen outlining what is required for the efficacy of signs in standing for (i.e., representing) something else in an organization, among many others. We explore how the efficacy and the efficiency of representation may be measured, which seems overlooked in available literature of information systems and organizational semiotics. And we approach this problem from the perspective of what we call the 'information carrying' relation between the representation and the represented. We model the represented as an information source and the representation an information carrier, and the 'representing' relationship between them as that of 'information carrying'. That is, information is carried and therefore flows. These then are further modeled mathematically as random variables and random events, and a special relationship between random events. This approach enables us to reveal a necessary condition for the efficacy and the efficiency of representation, and to measure it. To this end we extend Dretske's semantic theory of information. The conviction that we put forward here is 'No representation without information flow', based upon which the efficacy and efficiency of a representation system may be measurable.
Context shifting for effective search over large knowledge bases
Authors: Mathew Joseph, Luciano Serafini, Andrei Tamilin
Venue: Proceedings of the 1st Workshop on Context, Information and Ontologies (2009)

The problem of searching large knowledge bases is becoming an important facet of the current web of steadily proliferating semantic content. By pushing the notion of a context for partitioning large knowledge bases, performance of search is improved by narrowing the search space to a context of interest. On the other hand, by restricting the search only to a particular context, some answer can be missed, downgrading the search accuracy. In order to mitigate this drawback, we propose to extend the standard query algorithms with the operation of context shifting, i.e., the operation that allows switching to a close context, if the current context does not contain satisfactory information to answer a query. The paper provides a conceptual description of shifting in contextualized knowledge bases (CKB); and a prototypical implementation of a CKB that supports context shifting. For the conceptual description we adopt and extend the context-as-a-box paradigm introduced in [15]. In such a framework, a context is identified by a set of dimensions, whose values are taken from value-sets structured in hierarchies. Context shifting allows to switch from one context to another by changing the value of one or more dimensions along the corresponding hierarchies. For the prototypical implementation of a CKB we adopt and extend Sesame RDF store in order to support context shifting.
A 3D hypermedia with biomedical stereoscopic images: from creation to exploration in virtual reality
Authors: Mohammed Haouach, Gilles Venturini, Christiane Guinot
Venue: Proceedings of the 20th ACM conference on Hypertext and hypermedia (2009)

We present in this paper a new method for building and exploring a 3D hypermedia in virtual reality and for a biomedical domain. Starting from the acquisition of stereoscopic images and from the calibration of cameras, our system offers the user the possibility to visualize these images in 3D and to annotate specific areas with texts or voice recording. Then the user may define links between annotations, and each annotation may point to annotations from the same image or from other images. The user thus constructs a 3D hypermedia. He may have a global view of the images database using a graph display. We present a first graph which was built with images of faces.
High order resolution of the Maxwell-Fokker-Planck-Landau model intended for ICF applications
Authors: Roland Duclous, Bruno Dubroca, Francis Filbet, Vladimir Tikhonchuk
Venue: Journal of Computational Physics (2009)

A high order, deterministic direct numerical method is proposed for the non-relativistic 2D"xx3D"v Vlasov-Maxwell system, coupled with Fokker-Planck-Landau collision operators. The magnetic field is perpendicular to the 2D"x plane surface of computation, whereas the electric fields occur in this plane. Such a system is devoted to modelling of electron transport and energy deposition in the general frame of Inertial Confinement Fusion applications. It is able to describe the kinetics of the plasma electrons in the nonlocal equilibrium regime, and permits to consider a large anisotropy degree of the distribution function. We develop specific methods and approaches for validation, that might be used in other fields where couplings between equations, multiscale physics, and high dimensionality are involved. Fast algorithms are employed, which makes this direct approach computationally affordable for simulations of hundreds of collisional times.
A New Variant of the Cramer-Shoup KEM Secure against Chosen Ciphertext Attack
Authors: Joonsang Baek, Willy Susilo, Joseph K. Liu, Jianying Zhou
Venue: Proceedings of the 7th International Conference on Applied Cryptography and Network Security (2009)

We propose a new variant of the Cramer-Shoup KEM (key encapsulation mechanism). The proposed variant is more efficient than the original Cramer-Shoup KEM scheme in terms of public key size and encapsulation cost, but is proven to be (still) secure against chosen ciphertext attack in the standard model, relative to the Decisional Diffie-Hellman problem.
Modeling and Enforcement of Business Policies on Process Models with Maestro
Authors: Ivan Markovic, Sukesh Jain, Mahmoud El-Gayyar, Armin B. Cremers, Nenad Stojanovic
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

Business policies and rules govern and guide the business processes of an organization. Enterprises usually only document their business policies and rules in natural language. This makes the procedure of determining which business policies and rules apply to a certain process and their enforcement on this process very costly and cumbersome. We present a tool that supports formal specification of policies and rules and their automated enforcement on process models. We explain the research background underlying the tool, and we overview what will be demonstrated at ESWC.
A Writing Support through Peer Reviewing
Authors: Aiko Nozawa, Shiori Miyahara, Naomi Miyake, Tomoe Ozeki
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

For communicable writing, reviewing and revising is essential. In this paper, we propose an SNS-based environment to improve writing by repeated collaborative reviewing. The results of an experiment comparing the system against face-to-face collaborative writing show that while face-to-face learners wrote better reports quickly, the system-users could also write reports of the matched quality in their third round, by adopting peers' suggestions more often than their offline counterparts.
Counterfeits and copies. An ontological analysis
Authors: Massimiliano Carrara, Marzia Soavi
Venue: Proceeding of the 2008 conference on Formal Ontologies Meet Industry (2008)

Counterfeits and copies are central notions in e-commerce. But an adequate ontological characterization of them is not still available. This paper tries to fill the gap. It offers an ontological analysis of the notion of counterfeit as opposed to that of copy. While it seems clear that there cannot be a copy without an original, for instance, of a picture, it is far from clear that a counterfeit needs an original object in the same way. In the paper we analyze some proposals of what a counterfeit is: a first one (D1) closely connecting the notion of counterfeit and copy, a second one (D2) according to which a counterfeit presents itself falsely as having a certain origin that would give it more value than it actually has, and a third proposal (D3), elaborating the second, which takes into account the supposed origin, the type of the object in question, and the intent to mislead. We argue that none of the three proposals is without problems. Exploiting the notion of historical property we propose that being a counterfeit or a forgery is dependent on the intention of the producer (D4) and independent of the notion of copy, even if there are some similarities between the two notions.
Multiple ellipses detection in noisy environments: A hierarchical approach
Authors: Zhi-Yong Liu, Hong Qiao
Venue: Pattern Recognition (2009)

Detection of multiple ellipses in noisy environments is a basic yet challenging task in many vision related problems. The key area of difficulty is on distinguishing the pixels pertaining to each target in the presence of noise. To tackle with the issue, we propose a hierarchical approach which is motivated by the fact that any segment of an ellipse can identify itself in ellipse reconstruction. First, we find all the neat edges without any branches, followed by an ellipse fitting on each of them. Second, some target candidates are estimated based on the neat edges, by a proposed grouping strategy. Finally, the targets are detected based on the candidates, by a proposed selective competitive algorithm to distinguish the true pixels of each target. A real application of the proposed method is illustrated in addition to some other demonstrative experiments.
Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization
Authors: Xianlun Tang, Ling Zhuang, Changjiang Jiang
Venue: Expert Systems with Applications: An International Journal (2009)

The prediction of silicon content in hot metal has been a major study subject as one of the most important means for the monitoring state in ferrous metallurgy industry. A prediction model of silicon content is established based on the support vector regression (SVR) whose optimal parameters are selected by chaos particle swarm optimization. The data of the model are collected from No. 3 BF in Panzhihua Iron and Steel Group Co. of China. The results show that the proposed prediction model has better prediction results than neural network trained by chaos particle swarm optimization and least squares support vector regression, the percentage of samples whose absolute prediction errors are less than 0.03 when predicting silicon content by the proposed model is higher than 90%, it indicates that the prediction precision can meet the requirement of practical production.
A simple method for detecting salient regions
Authors: Paul L. Rosin
Venue: Pattern Recognition (2009)

A simple method for detecting salient regions in images is proposed. It requires only edge detection, threshold decomposition, the distance transform, and thresholding. Moreover, it avoids the need for setting any parameter values. Experiments show that the resulting regions are relatively coarse, but overall the method is surprisingly effective, and has the benefit of easy implementation. Quantitative tests were carried out on Liu et al.'s dataset of 5000 images. Although the ratings of our simple method were not as good as their approach which involved an extensive training stage, they were comparable to several other popular methods from the literature. Further tests on Kootstra and Schomaker's dataset of 99 images also showed promising results.
Adobe Photoshop Lightroom 1.1 for the Professional Photographer
Authors: David Huss, David Plotkin
Venue:  (2007)

Delve into the ultimate guide for professional photographers Harness the power and flexibility of the latest version of Adobe Photoshop Lightroom, version 1.1, with this expert guide. Professional photographers David Huss and David Plotkin show you how to work smarter, faster, and more creatively with their personal tips, tricks, and techniques that you can incorporate into your own workflow. Adobe Photoshop Lightroom 1.1 is a powerful tool that you can integrate into your existing workflow to increase your productivity and improve the overall quality of your work. With this ultimate resource by your side, you'll learn how to:.Organize, adjust, process, output, and share digital pictures like the top professionals.Personalize Lightroom with a custom Identity plate.Seamlessly transition between Lightroom and your favorite photo editor.Quickly view and compare multiple shots, pairing selections down to your best work .Correct images, adjust white balance, and fine-tune tone, balance, and exposure, crop and undo-all without altering your originals!.Automate your workflow by applying image adjustments to multiple photos.Output proof and contact sheets .Develop, print and display your digital pictures for friends and clients, all the while saving valuable time .Create slide shows and web postings .And much more... As you move from traditional separate image editing applications to this next generation software that was designed specifically for photographers, Adobe Photoshop Lightroom 1.1 for the Professional Photographer unveils insider secrets and expert advice in this highly visual guide.David Huss is a professional photographer and author who has written more than 30 books. His work has been translated into eight languages.David Plotkin is a technical editor, photographer, and software writer who has written five books and numerous articles. *The most comprehensive guide available on Adobe Photoshop Lightroom, fully up-to-date with all of the new features of version 1.1 *Learn how to integrate this powerful software into your own workflow to maximize your productivity *Written by two industry experts and packed with inspiring images to show you what you can achieve with Lightroom 1.1 and this handy guide by your side!
Formal Modeling and Conformance Validation for WS-CDL using Reo and CASM
Authors: Samira Tasharofi, Marjan Sirjani
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

WS-CDL is a choreography language that describes peer-to-peer collaborations of participants by defining their common and complementary observable behaviors from a global viewpoint. The main use of a choreography description is to precisely define the sequence of interactions between a set of cooperating web services in order to promote a common understanding between participants and to make it easy to automatically validate conformance and ensure interoperability. To this purpose, WS-CDL must be based on or related to a formal language that provides these validation capabilities. In this paper, we benefit from Reo and Constraint Automata with State Memory (CASM) to address this problem by providing a unified formalism for choreography and orchestration. Furthermore, we show how to exploit this formalism for conformance validation by giving proper definitions for end-point projection and conformance problem.
ACDL: a communication choreography for discrete step multi-agent social simulations
Authors: Hasan Muhammad Naushin, Ziad Kobti
Venue: Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering (2009)

Considerable research has been done on agent communications, yet in discrete step social agent simulations there is no standardized work done to facilitate cognitive agent-to-agent communication. In this paper we propose an agent-to-agent interaction framework that preserves the integrity of the communication process in an artificial society in a 'time-stepped' discrete event simulator. We introduce the modeling language called Agent Choreography Description Language (ACDL) in order to model the communication. It serves in describing the common and collaborative observable behavior of multiple agents that need to interact in a peer to peer manner to achieve some goal. ACDL further adopts the parallel and interaction activities to model proper communication in an artificial society. The ACDL communication framework is implemented and tested in REPAST. It employs a communication manager to generate and execute ACDL specification according to agent's communication needs. Experiments reveal a successful execution of agent choreography and preservation of the communication logic, indicating a promising approach towards a standardized agent communication framework in discrete models.
On primal and dual sparsity of Markov networks
Authors: Jun Zhu, Eric P. Xing
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

Sparsity is a desirable property in high dimensional learning. The l1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining these two methods, an l1-norm max-margin Markov network (l1-M3N) can achieve both types of sparsity. This paper analyzes its connections to the Laplace max-margin Markov network (LapM3N), which inherits the dual sparsity of max-margin models but is pseudo-primal sparse, and to a novel adaptive M3N (AdapM3N). We show that the l1-M3N is an extreme case of the LapM3N, and the l1-M3N is equivalent to an AdapM3N. Based on this equivalence we develop a robust EM-style algorithm for learning an l1-M3N. We demonstrate the advantages of the simultaneously (pseudo-) primal and dual sparse models over the ones which enjoy either primal or dual sparsity on both synthetic and real data sets.
The Benefits of Downstream Information Acquisition
Authors: Liang Guo
Venue: Marketing Science (2009)

This study investigates the effects of turning terabytes of raw retail data into managerial insights (i.e., downstream information acquisition) in a strategic channel setting. Two effects of information acquisition are identified---the efficiency effect that improves retail pricing decision making in an uncertain environment, and the strategic effect whereby the retailer voluntarily discloses the acquired private information to influence the upstream manufacturer's wholesale pricing behavior. It is shown that the efficiency effect benefits the retailer without affecting the manufacturer, while the strategic effect works to the detriment of the retailer but to the advantage of the manufacturer. Nevertheless, unobservable information acquisition can mitigate the retailer's loss and the manufacturer's benefit from the strategic effect of information disclosure. Moreover, an increasing expected information acquisition cost may benefit the retailer, when that cost is low and information acquisition is unobservable to the manufacturer. The implications of this paper can shed light on how firms interact in a channel where the downstream market is data intensive, but information gleaning is costly.
Asymmetric negotiation based collaborative product design for component reuse in disparate products
Authors: Jianzhi Li, Hong-Chao Zhang, Zhangxi Lin
Venue: Computers and Industrial Engineering (2009)

This paper presents a negotiation based collaborative product design approach for component reuse in disparate products. While decision-based-design concept is used to model the product design as a decision-making process, negotiation is utilized for effective collaboration and value tradeoffs for manufacturers that are involved in components reuse. To reduce the efforts required in generating offers/counteroffers in the negotiation process, an asymmetric negotiation mechanism is created, which calls for only feedbacks of the achievement level of the negotiators. fuzzy inference approach is used to elicit preference structure of the designers based on their feedback to reduce negotiation time and efforts. The paper also presents the Pareto optimal points prediction using second order Taylor series, so that an optimal design can be jointly determined by all designers from different manufacturers. A case study is provided to demonstrate the methodologies and software developed in this paper.