ppxscal/embedding_network huggingface dataset:
Macs For Seniors For Dummies
Authors: Mark L. Chambers
Venue: For Dummies (2009)

Over 50 and thinking about getting your first computer? A user-friendly Mac is a great choice, and Macs For Seniors For Dummies walks you through choosing one and learning to use it. You wont even need your grandchildren to help! Macs For Seniors For Dummies introduces you to all the basic things you may not have encountered beforehow to use the keyboard and mouse, work with files and folders, navigate around the Mac OS X desktop, set up an Internet connection, and much more. Youll learn to: Choose the Mac thats right for you, set it up, run programs and manage files, and hook up a printer Use all the programs that come with your Mac for creating documents and spreadsheets, playing movies and music, and more Surf the Internet with the Safari browser safely Keep in touch with family and friends via e-mail Upload photos from your digital camera, edit and organize them with iPhoto, and share them by e-mail or as prints Play music with iTunes, put your favorite songs on a CD, or listen to online radio stations Use the Web to help plan trips, get maps, book hotels or RV campgrounds, or buy plane tickets Customize your Mac to make everything as easy and convenient as possible Even if youve never used a computer before, Macs For Seniors For Dummies makes it really easy to make friends with your Mac. Before you know it, youll wonder why you waited so long to get a computer! 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
A Model-Driven Approach for Telecommunications Network Services Definition
Authors: Vanea Chiprianov, Yvon Kermarrec, Patrick D. Alff
Venue: Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future (2009)

Present day Telecommunications market imposes a short concept-to-market time for service providers. To reduce it, we propose a computer-aided, model-driven, service-specific tool, with support for collaborative work and for checking properties on models. We started by defining a prototype of the Meta-model (MM) of the service domain. Using this prototype, we defined a simple graphical modeling language specific for service designers. We are currently enlarging the MM of the domain using model transformations from Network Abstractions Layers (NALs). In the future, we will investigate approaches to ensure the support for collaborative work and for checking properties on models.
Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence
Authors: Kerstin Borau, Carsten Ullrich, Jinjin Feng, Ruimin Shen
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

Our work analyzes the usefulness of microblogging in second language learning using the example of the social network Twitter. Most learners of English do not require even more passive input in form of texts, lectures or videos, etc. This input is readily available in numerous forms on the Internet. What learners of English need is the chance to actively produce language and the chance to use English as tool of communication. This calls for instructional methods and tools promoting `active' learning that present opportunities for students to express themselves and interact in the target language. In this paper we describe how we used Twitter with students of English at the Distant College of Shanghai Jiao Tong University. We analyze the students' messages and show how the usage of Twitter trained communicative and cultural competence.
Research on Multi Next Hop RIP
Authors: Chen Wenping, Zhang Xingming, Zhang Jianhui, Wang Bin
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Traditional single next hop routing that chooses the best paths is an important cause of today's network congestion problem, and it can lead to high packet loss rate when link failure happens. In this paper, a routing protocol called MNHRIP (Multi Next Hop Routing Information Protocol) based on modified RIP is provided to solve these two problems. The method of constructing directed routing graph is introduced to design MNHRIP. MNHRIP can provide more than one next hop and be loop free when forwarding data with these multi next hops in parallel. The performance of MNHRIP is evaluated by the extended SSFNet software. The results show that MNHRIP can greatly solve the congestion problem caused by traditional single next hop routing and the high packet loss rate can be greately reduced when link failure happens.
Research on ZigBee Wireless Sensors Network Based on ModBus Protocol
Authors: Liu Yanfei, Wang Cheng, Yu Chengbo, Qiao Xiaojun
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

The information transmission is transparent for the user in the ZigBee wireless sensors network, which are lack of interactivity and self-constrain. The information in the ZigBee wireless sensors network can not be viewed in a real time by a friendly interface. Modbus protocol is embedded into ZigBee stack, in this way, we can implement interaction well and the information can be viewed in a friendly interface. The paper present the measures to embed the Modbus protocol into the ZigBee stack provided by Chipcon company, which contains address bound mechanism, information centralized storage, and flexible monitoring, by which we can monitor the real time information from the ZigBee wireless network and use some instructions to control the remote device in a friendly interface, which can be used well in the middle and small ZigBee monitoring wireless sensors network. We implement it in the plant physiological ecology monitoring system.
A Handy Laser Show System for Open Space Entertainment
Authors: Toru Takahashi, Miki Namatame, Fusako Kusunoki, Isao Ono, Takao Terano
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

Big Fat Wand (BFW) is a handy laser show system, which includes a portable laser show device newly developed and a laptop PC with easy-to-use authoring toolkits. This paper describes basic principles and architecture of BFW, then demonstrates how BFW is used in an open space environment.
Finding structure via compression
Authors: Jason L. Hutchens, Michael D. Alder
Venue: Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning (1998)

A statistical language model may be used to segment a data sequence by thresholding its instantaneous entropy. In this paper we describe how this process works, and we apply it to the problem of discovering separator symbols in a text. Our results show that language models which bootstrap themselves with structure found in this way undergo a reduction in perplexity. We conclude that these techniques may be useful in the design of generic grammatical inference systems.
Playability Testing of Web-Based Sport Games with Older Children and Teenagers
Authors: Xavier Ferre, Angelica Antonio, Ricardo Imbert, Nelson Medinilla
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

Playability occupies a central role in videogame design. Heuristics may help for establishing the game concept, but some testing is essential for ensuring a wide acceptance in the target user population. The experience of designing and testing a set of web-based sport videogames is described, focusing on the heuristics employed and the testing approach. The results show that an emphasis on a simple set of game controls and the introduction of humorous elements has obtained a positive response from older children and teenagers.
Research on the Gray Calamity Forecasting of the Enterprise's Stock Demand Based on GM (1,1)
Authors: Luan Xiaohui
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Inventory management is an important part of the operation management of enterprises, which is based on the amount of sales un-house, but the uncertainty of customer demands is the foremost problem perplexing managers. In the management of the enterprise's production, the increasingly identified stock management is confronted with the puzzling question that the stock demand is unsteady. Taking advantage of the widely recognized gray calamity, this article established a gray calamity model of the stock demand, groping for the new thought of solving this puzzling question. The demonstrative result indicates that this method can precisely forecast the moment of the calamity of the stock demand.
The Research of Double-Driven Electric Vehicle Stability Control System
Authors: Junwei Li, Huafang Yang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

An algorithm for direct yaw-moment control based on sliding-mode variable structure control theory is proposed in this paper to enhance the handling stability of an electric vehicle with two independent motors equipped at the rear axles. The controller is designed according to the two degrees-of-freedom linear vehicle model and using yaw rate and sideslip angle as the control variables. Yaw moment is applied to four degrees-of-freedom vehicle dynamics model, and then braking or driving forces are distributed over two driven wheels to control electric vehicle stability directly. Under different velocity, the simulation is performed at the different road adhesion coefficient for front wheel steering angle step input or sine input condition using Matlab/Simulink software. The simulation results show a good response characteristic. It’s illustrated that the method is able to control vehicle yaw rate and side slip angle effectively, enhance vehicle handling stability and reduce driver fatigue as well.
Enhancing Bilinear Subspace Learning by Element Rearrangement
Authors: Dong Xu, Shuicheng Yan, Stephen Lin, Thomas S. Huang, Shih-Fu Chang
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

The success of bilinear subspace learning heavily depends on reducing correlations among features along rows and columns of the data matrices. In this work, we study the problem of rearranging elements within a matrix in order to maximize these correlations so that information redundancy in matrix data can be more extensively removed by existing bilinear subspace learning algorithms. An efficient iterative algorithm is proposed to tackle this essentially integer programming problem. In each step, the matrix structure is refined with a constrained Earth Mover's Distance procedure that incrementally rearranges matrices to become more similar to their low-rank approximations, which have high correlation among features along rows and columns. In addition, we present two extensions of the algorithm for conducting supervised bilinear subspace learning. Experiments in both unsupervised and supervised bilinear subspace learning demonstrate the effectiveness of our proposed algorithms in improving data compression performance and classification accuracy.
A tool for multi-word expression extraction in modern Greek using syntactic parsing
Authors: Athina Michou, Violeta Seretan
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

This paper presents a tool for extracting multi-word expressions from corpora in Modern Greek, which is used together with a parallel concordancer to augment the lexicon of a rule-based machine-translation system. The tool is part of a larger extraction system that relies, in turn, on a multilingual parser developed over the past decade in our laboratory. The paper reviews the various NLP modules and resources which enable the retrieval of Greek multi-word expressions and their translations: the Greek parser, its lexical database, the extraction and concordancing system.
Augmented Collaborative Card-Based Creative Activity with Digital Pens
Authors: Motoki Miura, Taro Sugihara, Susumu Kunifuji
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Typically, practitioners of the KJ method use paper labels and four-colored ball-point pens to externalize their thoughts and ideas during the process. A similar approach and method is used in group KJ lessons. However, due to the large paper size required, this approach is limited in effective capturing and sharing of outcomes. Considering the merits of the conventional paper---pen approach and the demand for quick sharing of outcomes after the session, we designed and implemented a system to digitize the group KJ session--not just the outcomes but also the details of the creative work processes. We use digital pens to capture position and orientation of labels, as well as their contents, during the session. We confirmed the efficiency of our system with several KJ sessions.
Autonomous Turn-Taking Agent System Based on Behavior Model
Authors: Masahide Yuasa, Hiroko Tokunaga, Naoki Mukawa
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

In this paper, we propose a turn-taking simulation system using animated agents. To develop our system, we analyzed eye-gaze and turn-taking behaviors of humans during actual conversations. The system, which can generate a wide variety of turn-taking patterns based on the analysis, will play an important role for modeling the behaviors at turn-takings, such as gazes, head orientations, facial expressions and gestures. The paper describes the system concept, its functions, and implementations. The findings obtained from investigations using the system will contribute to development of future conversational systems in which agents and robots communicate with users in a lively and emotional manner.
Genetic Algorithms: A Decision Tool in Industrial Disassembly
Authors: Luminita Duta, Florin Gheorghe Filip, Constantin Zamfirescu
Venue: Proceedings of the 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing (2008)

In the recycling process of the Waste Electrical and Electronic Equipment (WEEE) the disassembly process has a central role. Disassembly is not the reverse of the assembly process, real difficulties occur in the tasks assignment process of the disassembly operations. Since this is a multi objective optimization problem, we prove that genetic algorithms provide a useful multi-criteria decision tool in the industrial disassembly process.
Entanglement and multiple quantum coherence dynamics in spin clusters
Authors: G. B. Furman, V. M. Meerovich, V. L. Sokolovsky
Venue: Quantum Information Processing (2009)

With the purpose to reveal consistency between multiple quantum (MQ) coherences and entanglement, we investigate numerically the dynamics of these phenomena in one-dimensional linear chains and ring of nuclear spins 1/2 coupled by dipole---dipole interactions. As opposed to the calculation of the MQ coherence intensity based on the density matrix describing the spin system as a whole, we consider the "differentiated" intensity related only to the chosen spin pair based on the reduced density matrix. It is shown that the entanglement and the MQ coherence have similar dynamics only for nearest neighbors while we did not obtained any consistency for remote spins.
Inventory, Discounts, and the Timing Effect
Authors: Hyun-Soo Ahn, Mehmet Gümüş, Philip Kaminsky
Venue: Manufacturing Service Operations Management (2009)

We introduce and analyze a model that explicitly considers the timing effect of intertemporal pricing---the concept, found in practice, that demand during a sale is increasing in the time since the last sale. We present structural results that characterize the interaction between the decision to hold a sale and the inventory-ordering decision. We show that the optimal inventory-ordering policy is a state-dependent base-stock policy; however, the optimal pricing policy can be quite complicated due to both the value and the cost of holding inventory and delaying sales. In our computational analysis, we find that compared to a fixed-price policy, we see an average gain in profit of almost 5% from optimally varying promotion and inventory decisions accounting for intertemporal demand, and we find that this potential profit gain increases as demand variability decreases. We also develop a heuristic based on deterministic pricing and find that it performs well relative to the optimal policy.
Context-Aware Team Task Allocation to Support Mobile Police Surveillance
Authors: Jan Willem Streefkerk, Myra Esch-Bussemakers, Mark Neerincx
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

To optimally distribute tasks within police teams during mobile surveillance, a context-aware task allocation system is designed and evaluated with end-users. This system selects and notifies appropriate team members of current incidents, based on context information (officer availability, officer proximity to the incident and incident priority) and decision rules. Eight teams of three experienced police officers evaluated this system in a surveillance task through a virtual environment, comparing it to a non-adaptive system. Task performance, communication, workload and preferences were measured. Results show that team communication, decision making and response times improve using the adaptive system and that this system is preferred. We conclude that context-aware task allocation helps police teams to coordinate incidents efficiently.
Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge
Authors: Samad Valipour Shokouhi, Agnar Aamodt, Pål Skalle, Frode Sørmo
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Oil well drilling is a complex process which frequently leads to operational problems. In order to deal with some of these problems, knowledge intensive case based reasoning (KiCBR) has clearly shown potential. An important problem in oil well drilling is hole cleaning, in which a high number of observed parameters and other features are involved. This paper presents how to determine the root causes of poor hole cleaning episodes by means of KiCBR. This will help the drilling crew to apply a proper remedy. The effect of general domain knowledge was demonstrated in a comparative study, in which improved results in terms of similarity assessment and explanation capability were achieved.
Applied Assertion-Based Verification: An Industry Perspective
Authors: Harry Foster
Venue:  (2009)

Applied Assertion-Based Verification examines the application of assertion-based verification in today's electronic design industry to address specific challenges of poor observability and controllability during the verification process. Statistics illustrating successful application of both low-level and high-level assertions are presented. While the process of writing assertions is fairly well understood by those skilled in the art - the process of creating higher-level assertion-based IP that must communicate with other components in a contemporary transaction-level modeling (TLM) simulation environment, is not. Hence, Applied Assertion- Based Verification provides a set of steps (in a tutorial fashion) for creating assertion-based IP. Applied Assertion-Based Verification provides a survey of today's ABV landscape, ranging from industry case studies to today's assertion language standardization efforts, to emerging challenges and research opportunities. In addition, it directly addresses industry process issues of developing assertion-based IP by introducing a systematic set of planning and development steps. A detailed bus protocol example is provided, which draws together the various concepts introduced throughout the text while demonstrating an effective process for developing assertion and assertion-based verification IP. 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
Lexical choice of modal expressions
Authors: Ralf Klabunde
Venue: Proceedings of the Eleventh European Workshop on Natural Language Generation (2007)

This paper describes a model of the choice of modal verbs and modal particles. The choice mechanism does not require a modality-specific input as, e.g., a modal logical formula. Instead semantic (modal force) and pragmatic constraints (speech act marking) are applied to the available information on the whole and constrain the set of modal candidates to those that are appropriate in the respective contexts. The choice model is realized in the CAN system that generates recommendations about courses of study.
Examining difficulties software developers encounter in the adoption of statistical machine learning
Authors: Kayur Patel, James Fogarty, James A. Landay, Beverly Harrison
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking to use statistical machine learning algorithms within applications. We have conducted two initial studies examining the difficulties that developers encounter when creating a statistical machine learning component of a larger application. We first interviewed researchers with experience integrating statistical machine learning into applications. We then sought to directly observe and quantify some of the behavior described in our interviews using a laboratory study of developers attempting to build a simple application that uses statistical machine learning. This paper presents the difficulties we observed in our studies, discusses current challenges to developer adoption of statistical machine learning, and proposes potential approaches to better supporting developers creating statistical machine learning components of applications.
A Novel Cooperative Relaying Scheme for Next Generation Wireless Networks
Authors: Hong Zhou
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

In this paper, we propose a novel cooperative relaying scheme for next generation wireless networks mainly employing time switched transmitting diversity and bidirectional communication technologies. All possible realizations of the proposed scheme are comprehensively investigated. Computer simulation confirms the effectiveness of the proposed scheme, and that one realization using code combining method has better transmission quality and efficiency than the conventional STBC based relaying scheme.