ppxscal/embedding_network huggingface dataset:
ARTIMIS: natural dialogue meets rational agency
Authors: M. D. Sadek, P. Bretier, F. Panaget
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

We present an effective generic communicating rational agent, ARTIMIS, and its application to cooperative spoken dialogue. ARTIMIS' kernel is the implementation of a formal theory of interaction. This theory involves a set of generic axioms which models, in a homogeneous logical framework, principles of rational behaviour, communication, and cooperation. The theory is interpreted by a specifically designed reasoning engine. When applied to the context of natural dialogue, ARTIMIS includes specialised components for speech and natural language processing.
Design of a New Web Database Security Model
Authors: Zhu Yangqing, Yu Hui, Li Hua, Zeng Lianming
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

This paper analyzed some shortcomings of old web database security and offered a new web database security model. Login module, audit module and program control modules were emphasized in the web database security model. Application of the web database security model was analyzed in the pork traceability information system. A new referral mode was offered for future web database security.
inAir: measuring and visualizing indoor air quality
Authors: Sunyoung Kim, Eric Paulos
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

Good indoor air quality is a vital part of human health. Poor indoor air quality can contribute to the development of chronic respiratory diseases such as asthma, heart disease, and lung cancer. Complicating matters, poor air quality is extremely difficult for humans to detect through sight and smell alone and existing sensing equipment is designed to be used by and provide data for scientists rather than everyday citizens. We propose inAir, a tool for measuring, visualizing, and learning about indoor air quality. inAir provides historical and real-time visualizations of indoor air quality by measuring tiny hazardous airborne particles as small as 0.5 microns in size. Through user studies we demonstrate how inAir promotes greater awareness and motivates individual actions to improve indoor air quality.
Interactive Accessible Notifications for Emergency Notification Systems
Authors: Alessio Malizia, Teresa Onorati, Andrea Bellucci, Paloma Diaz, Ignacio Aedo
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Notifications are critical when an emergency scenario is going to happen (e.g. a hurricane approaching); so the ability to transmit notifications to different kind of users is a crucial feature for Emergency Management Systems. In this work an ontology was developed by investigating different sources: accessibility guidelines, emergency response systems, communication devices and technologies, taking into account the different abilities of people to react to different alarms (e.g. mobile phone vibration as an alarm for deaf blind people). The knowledge codified in the proposed ontology could be used to enhance and promote the use of non-conventional interfaces for notifying emergency messages thus providing accessibility under different conditions and for different kind of users.
A Topic-Specific Web Crawler with Web Page Hierarchy Based on HTML Dom-Tree
Authors: Yuekui Yang, Yajun Du, Yufeng Hai, Zhaoqiong Gao
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

With Internet growing exponentially, data mining in the web becomes the main method to find relevant information. With the amount of web sites and documents growing even faster and site contents getting updated more and more often, focused web crawler is becoming more and more popular. In the literature, how to order the unvisited URLs was studied deeply, they calculate the prediction score is based on the unvisited URLs’ ancestor, however the URLs in one web page is considered to have the same scores. In other words, they consider a web page has only one topic information. But we find the different parts of a web page have their own topic information, while they all support one or several big topics, so the URLs in different paragraphs should be given different scores based on the hierarchy relationship among them. In this paper, we parse every web page as a Dom-Tree, propose some rules in the tree aiming at extracting the relationship among different paragraphs, and then present a new topic-specific web crawler which calculates the unvisited URL’s prediction score based on the web page hierarchy and the text semantic similarity. We consider three factors, firstly, we calculate the text similarity using vector space model (VSM) which consider the query or paragraph as a vector in which the terms are independent. But there are relations about terms’ sequences in a text paragraph; we try to using edit distance based on terms’ sequences to avoid it. Thirdly, different paragraphs in a web page are contacted according to their hierarchy in a Dom-Tree. At last we combine the three factors in our crawler’s strategy and present our model.
Framework for Supporting Decision Making in Learning Management System Selection
Authors: Yuki Terawaki
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

When introducing computer systems as well as the e-Learning systems such as Learning Management System (LMS), requirements analysis is very important. In recent years, it has been noted that most of the people who introduce e-Learning systems in Japan are non-professionals of information technology. Generally, requirements analysis is well known for being very difficult for the information technology professional, and even more difficult for the non-professional. Therefore, this paper proposes a framework for supporting decision-making in Learning Management Systems selection for the non-professional. Using Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD), this framework recommends a LMS based on the priority of requirements.
Exploring Topological Structure of Boolean Expressions for Test Data Selection
Authors: Lian Yu, Wei Zhao, Xiangdong Fan, Jun Zhu
Venue: Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering (2009)

Several test strategies have emerged to detect faults associated Boolean expressions. Current approaches lack a proper model to give an overall picture of the Boolean expressions and comprehensive exploration of test data space. This paper proposes a topological model (T-model) to systematically represent Boolean expressions and test data space, and theoretically analyzes the capability and limitations of existing test strategies. We explicitly identify the sufficient and necessary conditions to detect the faults of interest, introduce new Boolean expression related faults and reform the fault hierarchy, where a family of test strategies is defined to detect the corresponding faults.
Hierarchical Face Recognition Based on SVDD and SVM
Authors: Chang-jun Chen, Yong-zhao Zhan, Chuan-jun Wen
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Current face recognition methods are mainly based on face database. Face recognition task in natural environment demands face recognition algorithm has the rejection capability for the face samples out of face database, but existing methods lack this rejection ability for non-target samples. In this paper, a new hierarchical face recognition algorithm is proposed which can reject non-database test samples and classify model samples within database exactly. One-class recognition characteristics of support vector data description is firstly utilized to rejection recognition and then the excellent classification property of support vector machine is employed to recognize the accepted face samples. By way of simulated experiments, the effectiveness of proposed method is verified.
The OASIS Concept
Authors: Evangelos Bekiaris, Silvio Bonfiglio
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

OASIS is an Integrated Project with the aim to revolutionise the interoperability, quality, breadth and usability of services for all daily activities of the elderly, by developing and deploying innovative technological challenges, consisting of a new, open architecture and a hyper-ontological framework. A wide range of applications are integrated in the areas of independent living, socialization, autonomous mobility and smart workplaces. User friendliness and acceptability of OASIS services are a top priority of the project, ensured with a user-centered design approach and the development of interactive services.
Facial Shape Analysis and Sizing System
Authors: Afzal Godil
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The understanding of shape and size of the human head and faces is vital for design of facial wear products, such as respirators, helmets, eyeglasses and for ergonomic studies. 3D scanning is used to create 3D databases of thousands of humans from different demographics backgrounds. 3D scans have been used for design and analysis of facial wear products, but have not been very effectively utilized for sizing system. The 3D scans of human bodies contain over hundreds of thousand grid points. To be used effectively for analysis and design, these human heads require a compact shape representation. We have developed compact shape representations of head and facial shapes. We propose a sizing system based on cluster analysis along with compact shape representations to come up with different sizes for different facial wear products, such as respirators, helmets, eyeglasses, etc.
A compact low-distortion low-power instrumentation amplifier
Authors: Jader A. De Lima
Venue: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes (2009)

A CMOS instrumentation amplifier based on a simple topology that comprises a double-input Gm-stage and a low-distortion class-AB output stage is presented. Sub-threshold design techniques are applied to attain high figures of differential-gain and rejection parameters. Analyses of input-referred noise and CMRR are comprehensively carried out and their dependence on design parameters determined. The prototype was fabricated in a standard n-well CMOS process. For 5V-rail-to-rail supply and bias current of 100nA, stand-by consumption is only 16&mu;W. Low-frequency parameters are ADM=86dB, CMRR=89.3dB, PSRR+=87dB, PSRR-=74dB. For a 6.5pF-damping capacitor, &Phi;M=73&deg; and GBW=47KHz. The amplifier exhibits a THD of -64.5dB @100Hz for a 1Vpp-output swing. Input-noise spectral density is 5.2&mu;V/&radic;Hz @1Hz and 1.9&mu;V/&radic;Hz @10Hz, which gives an equivalent input noise of 37.6&mu;V, over 1Hz--200Hz bandwidth. This circuit can be employed for low-frequency, low-distortion signal processing, advantageously replacing the conventional 3-opamp approach for instrumentation amplifiers.
Annotation of Spatial Relations in Natural Language
Authors: Qijun Shen, Xueying Zhang, Wenming Jiang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Natural language spatial relations have drawn much attention in recent years for bridging the gap between natural language and geographical information systems. Annotating spatial relations in corpora is the precondition for resolution of geographical information in text. This paper proposes an annotation scheme for marking expressions of spatial relations in natural language. This scheme is based on a hierarchical classification of geographical feature types and spatial relations. An annotation approach is illustrated with examples of Chinese text, and finally the natural language processing tool GATE is used to test the proposed scheme. This work can be useful for disambiguation of natural language spatial relations, integration of natural language with GIS services and spatial reasoning.
Generations in the Workplace: An Exploratory Study with Administrative Assistants
Authors: Lisa M. Vizer, Vicki L. Hanson
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

To better support older adults in the workplace, this study examines the strategies workers employ to learn software and complete tasks. The purpose of the overall research project is to understand how to help older workers adapt to and remain productive in the workplace. This knowledge may inform the design and development of training modules and software extensions to accommodate the needs of workers as they age. This paper describes an exploratory study in which administrative assistants at an industrial research facility were interviewed and surveyed about their work practices, preferences, and attitudes. The data revealed a high level of communication, knowledge sharing, and collaboration among the assistants. Possibilities for future research are inclusion of workers at other companies and in other jobs, examination of the motivations and attitudes surrounding work behavior, and development of design guidelines for software tools.
Research on Tension Control System Based on Fuzzy Control Algorithm
Authors: Ru Feng, Jiang Jie, Hu Fei-hu, Zou Wei-qi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

First, the mathematical model of tension for coil is built after making deep research on coil production process and operation flow of its entry section. Based on fuzzy control algorithm and empirical rules, tension variation and its change rate are determined as input variables for the fuzzy controller of the tension control system. According to general steps and special requirements, the fuzzy controller is then constructed to realize adaptive adjustment control of the system. The simulation result shows that the fuzzy control algorithm can achieve better control effect. Finally, an experimental platform is set up to test the fuzzy control system. The result shows that the improved tension control system can satisfy the control requirements of rapidity, stability and accuracy.
The Ultimate CompTIA Network+ 2009 Resource Kit, 2nd edition
Authors: Course Technology
Venue:  (2009)

The Ultimate CompTIA Network+ 2009 Resource Kit provides three different ways to prepare for the exam - a book, flashcards, and a computer-based training CD. Combined, they are a solid resource for exam success. The book provides thorough preparation for CompTIA's 2009 Network+ Certification Exam. It covers all fundamental and advanced networking topics a reader would encounter on the job or on the Network+ exam in a style that's easy to read and comprehend. It comes with a downloadable CoursePrep Exam Guide for Network+, offering exam preparation materials that drill down to each certification objective and over 800 practice exam questions. The Network+ In Depth flashcards contain an exam based question on one side with the answer on the other, designed to test the reader's knowledge of key concepts. Each flashcard also includes the source chapter within the accompanying Network+ In Depth book where the topic can be found. The Network+ CBT (Computer-Based Training) CD provides complete preparation for the latest Network+ exam. It includes a prerequisite test and study material that helps the reader zero in on what they specifically need to study, test prep questions that provide practice in a simulated environment, and it features hands-on lessons, simulations, audio narration, video clips, animations, graphics, screenshots, sound effects, and easy-to-use navigation. With three different ways to study, The Ultimate CompTIA Network+ Resource Kit is the only test preparation you'll need to pass. 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
Gabor Filters as Feature Images for Covariance Matrix on Texture Classification Problem
Authors: Jing Yi Tou, Yong Haur Tay, Phooi Yee Lau
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The two groups of popularly used texture analysis techniques for classification problems are the statistical and signal processing methods. In this paper, we propose to use a signal processing method, the Gabor filters to produce the feature images, and a statistical method, the covariance matrix to produce a set of features which show the statistical information of frequency domain. The experiments are conducted on 32 textures from the Brodatz texture dataset. The result that is obtained for the use of 24 Gabor filters to generate a 24 × 24 covariance matrix is 91.86%. The experiment results show that the use of Gabor filters as the feature image is better than the use of edge information and co-occurrence matrices.
Simulation of Arithmetical Circuits by Branching Programs with Preservation of Constant Width and Syntactic Multilinearity
Authors: Maurice Jansen, Raghavendra Rao B.V.
Venue: Proceedings of the Fourth International Computer Science Symposium in Russia on Computer Science - Theory and Applications (2009)

We study structural properties of restricted width arithmetical circuits. It is shown that syntactically multilinear arithmetical circuits of constant width can be efficiently simulated by syntactically multilinear algebraic branching programs of constant width, i.e. that sm-VSC 0 ¿ sm-VBWBP. Also, we obtain a direct characterization of poly-size arithmetical formulas in terms of multiplicatively disjoint constant width circuits, i.e. MD-VSC0 = VNC1.For log-width weakly-skew circuits a width efficient multilinearity preserving simulation by algebraic branching programs is given, i.e. weaklyskew-sm-VSC1 ¿ sm-VBP[width=log2 n].Finally, coefficient functions are considered, and closure properties are observed for sm-VSC i , and in general for a variety of other syntactic multilinear restrictions of algebraic complexity classes.
The "Coefficients H" Technique
Authors: Jacques Patarin
Venue: Selected Areas in Cryptography: 15th International Workshop, SAC 2008, Sackville, New Brunswick, Canada, August 14-15, Revised Selected Papers (2009)

The "coefficient H technique" is a tool introduced in 1991 and used to prove various pseudo-random properties from the distribution of the number of keys that sends cleartext on some ciphertext. It can also be used to find attacks on cryptographic designs. We can like this unify a lot of various pseudo-random results obtained by different authors. In this paper we will present this technique and we will give some examples of results obtained.
An open global volume minimization problem
Authors: Jean-Baptiste Hiriart-Urruty
Venue: Journal of Global Optimization (2009)

We present an open global minimization problem: it concerns the minimization of the volume among the compact convex sets in $${\mathbb{R}^{3}}$$ of a given constant thickness.
Automatic Arabic document categorization based on the Na&iuml;ve Bayes algorithm
Authors: Mohamed El Kourdi, Amine Bensaid, Tajje-eddine Rachidi
Venue: Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages (2004)

This paper deals with automatic classification of Arabic web documents. Such a classification is very useful for affording directory search functionality, which has been used by many web portals and search engines to cope with an ever-increasing number of documents on the web. In this paper, Naive Bayes (NB) which is a statistical machine learning algorithm, is used to classify non-vocalized Arabic web documents (after their words have been transformed to the corresponding canonical form, i.e., roots) to one of five pre-defined categories. Cross validation experiments are used to evaluate the NB categorizer. The data set used during these experiments consists of 300 web documents per category. The results of cross validation in the leave-one-out experiment show that, using 2,000 terms/roots, the categorization accuracy varies from one category to another with an average accuracy over all categories of 68.78 %. Furthermore, the best categorization performance by category during cross validation experiments goes up to 92.8%. Further tests carried out on a manually collected evaluation set which consists of 10 documents from each of the 5 categories, show that the overall classification accuracy achieved over all categories is 62%, and that the best result by category reaches 90%.
Coarse-to-fine syntactic machine translation using language projections
Authors: Slav Petrov, Aria Haghighi, Dan Klein
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass, coarse-to-fine approach in which the language model complexity is incrementally introduced. In contrast to previous order-based bigram-to-trigram approaches, we focus on encoding-based methods, which use a clustered encoding of the target language. Across various encoding schemes, and for multiple language pairs, we show speed-ups of up to 50 times over single-pass decoding while improving BLEU score. Moreover, our entire decoding cascade for trigram language models is faster than the corresponding bigram pass alone of a bigram-to-trigram decoder.
An optimization algorithm for cutting stock problems in the TFT-LCD industry
Authors: Jung-Fa Tsai, Ping-Lun Hsieh, Yao-Huei Huang
Venue: Computers and Industrial Engineering (2009)

Due to lack of efficient approaches of mixed production, the present production approach of the TFT-LCD industry is batch production that each glass substrate is cut into LCD plates of one size only. This study proposes an optimization algorithm for cutting stock problems of the TFT-LCD industry. The proposed algorithm minimizes the number of glass substrates required to satisfy the orders, therefore reducing the production costs. Additionally, the solution of the proposed algorithm is a global optimum which is different from a local optimum or a feasible solution that is found by the heuristic algorithm. Numerical examples are also presented to illustrate the usefulness of the proposed algorithm.