ppxscal/embedding_network huggingface dataset:
Effects of Multimodal Feedback on the Usability of Mobile Diet Diary for Older Adults
Authors: Miroslav Bojic, Olivier A. Blanson Henkemans, Mark A. Neerincx, Charles A. Mast, Jasper Lindenberg
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Globally, overweight is an increasing problem and this especially the case for older adults, facing physical challenges and who need to maintain a healthy diet. eHealth services, such as a digital diet diary could support them. Consequently, we designed a multimodal mobile diet diary supporting interaction through text, graphics and speech. The diary, which gave personalized advice about maintaining a healthy diet based on meals entries, was evaluated with 32 older adults in a Smart Home Lab through use of scenarios. Results indicate that participants' satisfaction was highest when the feedback was provided through text and graphics. We found no effect on the effectiveness and efficiency. Additionally, spatial ability, computer experience and age explained variance in the evaluation of the diary. Our findings show that a multimodal mobile diet diary can support older adults maintaining a healthy diet and give insights on designing usable mobile interfaces for older adults.
Identifying Latent Similarities among Near-Miss Incident Records Using a Text-Mining Method and a Scenario-Based Approach
Authors: Tetsuo Sawaragi, Kouichi Ito, Yukio Horiguchi, Hiroaki Nakanishi
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)

This research focuses on supporting an analyst's activity of interpreting the contents of existing incident reports. During this activity, analysts are always predicting expected scenarios of the incidents at hand in comparing that with the actual development of the incidents reported therein. In order to learn lessons from a particular prior experience, analysts should be aware of the latent similarities among the incidents and should experience a breakdown called "expectation-failure" to let that incident be surely printed in their memory. To let the human analysts experience this breakdown, our system introduces a theory of Memory Organization Packets (MOPs) as a framework for explaining the dynamic memory structure of the human. By utilizing this idea as a basis for scenario-based expectation of human analysts and by integrating this idea with a text-mining method, a system for supporting an incident analysis is developed for a domain of medical incidents. Results of the experiments using our proposing system are presented, where the subjects are nurses working for a hospital. Based on those results, effectiveness of the system is discussed from various viewpoints by investigating into the protocols gathered from the subjects of the experiments.
Security automation considered harmful?
Authors: W. Keith Edwards, Erika Shehan Poole, Jennifer Stoll
Venue: Proceedings of the 2007 Workshop on New Security Paradigms (2008)

End-users are often perceived as the weakest link in information security. Because of this perception, a growing body of research and commercial activity is focused on automated approaches to security. With these approaches, security decisions are removed from the hands of the users, and are placed instead in systems themselves, or in remote services or organizations that establish policies that are automatically enforced. We contend that although security automation is potentially beneficial in theory, in practice it is not a panacea for end-user information security. A number of technical and social factors mitigate against the acceptance and efficacy of automated end-user security solutions in many cases. In this paper, we present a discussion of the inherent limitations of automating security for end-users. We then discuss a set of design guidelines for choosing whether to automate end-user security systems. We conclude with a set of research directions focused on increasing the acceptance and efficacy of security solutions for end-users.
Book Promo 201: Harness the power of the Internet with Web 2.0 and Social Media Marketing
Authors: Nikki Leigh
Venue:  (2009)

Have you heard of Web 2.0 and Social Media Marketing? Do these sound like high tech terms? The majority of people on the internet are using these things each day. Are you on Facebook or MySpace? Did you ever Digg a web page? Those are examples of Web 2.0 and Social Media Marketing. There seem to be an unlimited number of social networking web sites, but one key is knowing which sites are beneficial for you. Another key is understanding how and why to use them. Those are just a couple of things this book can answer for you in a down to earth and conversational manner. Award winning author Nikki Leigh explains branding, viral marketing, Web 2.0, blogs, podcasting, virtual tours, social networking and social bookmarking sites and much more. With that information and over 1000 resource links, this is a book that you will turn to again and again as you create an expanded and effective presence on the Internet to promote yourself and your books. 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
An ontological infrastructure for the automatic control of freight transport
Authors: J. Javier Samper, F. Javier Adell, Leo van den Berg, J. José Martinez, Santiago Felici
Venue: Proceedings of the 2008 Euro American Conference on Telematics and Information Systems (2008)

Currently, freight transport carried through a country or through different countries undergoes many delays due to merchandise controls. Merchandise control is only carried out at some border posts or when the authorities demand it. Such control can be an important problem since there are different laws for the same merchandise, according to the legislation of the country and even within the same country. Nowadays there are vocabularies or languages that describe concepts and structures of data related to transport, but the description is just syntactic, not semantic. Therefore the objective to be reached in this part of the research has been to develop a representation scheme of a particular domain, freight transport, with a well defined semantics based on laws. The use of this semantic will allow us to obtain a formalized knowledge that will enable the development of a conceptual infrastructure, to exchange and control goods information between trucks and external entities.
A Method of Traffic Dispersion for Accident Management
Authors: Xiaojian Hu, Wei Wang, Jian Lu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Traffic accidents usually induce non-recurrent congestions in the urban transportation network. In order to avoid the congestion deterioration, the paper presented a method to make traffic dispersion plans. The method considered and harmonized multi-objective, such as the change in total travel time, restrictions of traffic volumes on the links, and changes in traffic volumes on the links. Firstly, based on satisfactory control theory, the method introduced fuzzy goals and fuzzy constraints into a multi-objective function to obtain an optimal traffic dispersion plan. Secondly, a modified particle swarm optimization algorithm was raised to solve this complex multi-objective problem which has the characteristics of nonlinearity, multi-variable and multi-parameter. Finally, the method was operated on Matlab. The experimental results show that the method is feasibility and validity for accident management to disperse traffic and reduce the impact of the non-recurrent congestion.
Logistic Biclustering Models for Protein Network Inference
Authors: Carla Claudia da Rocha Rego Monteiro, Katia SIlva Guimaraes
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

Protein interaction information is fundamental to understand the cellular processes. Due to that, much is being done to automatically infer protein networks from all types of biological data. In this work we propose a model based on logistic biclustering, to analyze biological data in binary format, and combine that with a plaid model analysis of microarray expression data to predict protein interactions. We compare the results with a supervised model applied to the same data sets, and the experiments show that the proposed method achieves a performance very close to the one of a supervised approach trained with up to 25% of knowledge of the target network.
Link-the-Wiki: Performance Evaluation Based on Frequent Phrases
Authors: Mao-Lung (Edward) Chen, Richi Nayak, Shlomo Geva
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

In this paper, we discuss our participation to the INEX 2008 Link-the-Wiki track. We utilized a sliding window based algorithm to extract the frequent terms and phrases. Using the extracted phrases and term as descriptive vectors, the anchors and relevant links (both incoming and outgoing) are recognized efficiently.
Online learning with expert advice and finite-horizon constraints
Authors: Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novelty of our setup is that the rewards and constraints are controlled by an adverse opponent. To solve our problem in a practical way, we propose an expert algorithm that guarantees both a vanishing regret and a sublinear number of violated constraints. The quality of this solution is demonstrated on a real-world power management problem. Our results support the hypothesis that online learning with convex cost constraints can be performed successfully in practice.
A Collaborative Approach to Minimize Cellphone Interruptions
Authors: Ashraf Khalil, Kay Connelly
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

In this paper, we present a collaborative approach to minimizing inappropriate cellphone interruptions. The approach uses Bluetooth technology to discover and communicate with the surrounding cell phones in order to read their notification profiles. The profile of the majority is assumed to be the most suitable setting for the current social environment. Cellphones running the collaborative service can automatically update their profile according to the majority profile or at least alert the user to do so. We have conducted a user study to examine the acceptability and the usefulness of the collaborative service and to incorporate users' feedback into the early design process.
The Applied Research of Remote Sensing Image Data Mining Architecture
Authors: Du Ping, He Yueshun
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

As the spatial data complexity and its multifamily of application field, to get implicit and useful knowledge of space,it is necessary to study the integration issues of the spatial data and choose a suitable technology for data processing and analysis. In the paper, the characteristics of Remote Sensing image data were analyzed, the traditional data mining processes and architecture were Analyzed and improved, Anew process and architecture were presented for Remote Sensing image data mining based on data warehouse, On the basis of the work, we design a prototype system for datamining of the Remote Sensing image, We resolved and implemented the synergetic work in ingenious between the layers of the prototype system and between the components in the layer by the four-tier of J2EE architecture, Also, an implementation method was presented for the key technology.
Image Registration under Varying Illumination: Hyper-Demons Algorithm
Authors: Mehran Ebrahimi, Anne L. Martel
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

The goal of this paper is to present a novel recipe for deformable image registration under varying illumination, as a natural extension of the demons algorithm. This generalization is derived directly from the optical-flow constraints in a variational formulation. Furthermore, our approach provides a new mathematical interpretation of the demons algorithm via fixed-point iterations in a consistent framework.
Exploiting the model-driven engineering approach to improve design space exploration of embedded systems
Authors: Marcio F. da S. Oliveira, Ronaldo R. Ferreira, Francisco A. Nascimento, Franz J. Rammig, Flávio R. Wagner
Venue: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes (2009)

This paper proposes a design space abstraction, in order to decouple the exploration algorithm from the design space, which allows the application of the design space exploration (DSE) tool in different design scenarios and is appropriate for representing simultaneous and interdependent design alternative. From this new abstraction, the Model-Driven Engineering (MDE) approach is exploited to extract design information and compose the design space to be explored. Our approach uses model-to-model transformation rules as DSE constraints, which prune the available design space. These constraints are automatically generated from the UML model by translating design decisions pre-specified in UML diagrams into model transformation rules. In addition, non-functional requirements specified in UML as stereotypes are used to generate constraints in order to remove invalid solutions proposed during the DSE process. Finally, our approach offers an easy way for the designer to extend the set of constraints by using a well-accepted MDE toolset. A real application running on top of an MPSoC is used as case study to illustrate the proposed method.
Sentence planning for realtime navigational instructions
Authors: Laura Stoia, Donna K. Byron, Darla Magdalene Shockley, Eric Fosler-Lussier
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

In the current work, we focus on systems that provide incremental directions and monitor the progress of mobile users following those directions. Such directions are based on dynamic quantities like the visibility of reference points and their distance from the user. An intelligent navigation assistant might take advantage of the user's mobility within the setting to achieve communicative goals, for example, by repositioning him to a point from which a description of the target is easier to produce. Calculating spatial variables over a corpus of human-human data developed for this study, we trained a classifier to detect contexts in which a target object can be felicitously described. Our algorithm matched the human subjects with 86% precision.
Loop formulas for logic programs with arbitrary constraint atoms
Authors: Jia-Huai You, Guohua Liu
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

We formulate loop formulas for logic programs with arbitrary constraint atoms, for the semantics based on conditional satisfaction. This provides a method for answer set computation by computing models of completion. One particular attractive candidate for the latter task is pseudo-boolean constraint solvers. To strengthen this connection, we show examples of compact encoding of aggregates and global constraints by pseudo-boolean constraints.
Arabic diacritization using weighted finite-state transducers
Authors: Rani Nelken, Stuart M. Shieber
Venue: Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages (2005)

Arabic is usually written without short vowels and additional diacritics, which are nevertheless important for several applications. We present a novel algorithm for restoring these symbols, using a cascade of probabilistic finite-state transducers trained on the Arabic treebank, integrating a word-based language model, a letter-based language model, and an extremely simple morphological model. This combination of probabilistic methods and simple linguistic information yields high levels of accuracy.
Cross-Layer Design for Multi-power, Multi-interface Routing in Wireless Mesh Networks
Authors: Tzu-Chieh Tsai, Sung-Ta Tsai, Tsai-Feng Liu
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

In this paper, we propose a cross-layer routing protocol design over multi-power, multi-interface wireless mesh networks (WMNs). Variable transmission power levels cause different network connectivity and impact the route discovery.Further, different power levels have different network spatial reusability and interference. These features affect the network throughput and end-to-end delay. We incorporate transmission power control with intra/inter-flow interference, and proposed the Multi-power Multi-interface Routing protocol considering Intra/Inter flow Interference (M2iRi2). Each radio interface locally calculates the tolerable interference (iTolerance)information at the physical layer and sends to the network layer to exchange with neighbors to constrain the power level selection at the route discovery. The traffic flow chooses the appropriate power level and the path with less interference to forward the packets. In this way, the simulations results demonstrate that the proposed M2iRi2 can improve both network throughput and end-to-end delay.
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Authors: Liu Hangye, Sui Xuelian, Zong Jingchun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and efficiency. However, parallel computing technology provides an effective way to solve this problem. In this paper, based on the analysis of parallel computing system, the architecture of photogrammetric parallel processing system which is based on cluster computing is studied, and several key techniques such as distributed storage of massive remotely sensed data, design of parallel algorithms and load balancing are discussed.
Investigating content selection for language generation using machine learning
Authors: Colin Kelly, Ann Copestake, Nikiforos Karamanis
Venue: Proceedings of the 12th European Workshop on Natural Language Generation (2009)

The content selection component of a natural language generation system decides which information should be communicated in its output. We use information from reports on the game of cricket. We first describe a simple factoid-to-text alignment algorithm then treat content selection as a collective classification problem and demonstrate that simple 'grouping' of statistics at various levels of granularity yields substantially improved results over a probabilistic baseline. We additionally show that holding back of specific types of input data, and linking database structures with commonality further increase performance.
The Triconnected Abstraction of Process Models
Authors: Artem Polyvyanyy, Sergey Smirnov, Mathias Weske
Venue: Proceedings of the 7th International Conference on Business Process Management (2009)

Companies use business process models to represent their working procedures in order to deploy services to markets, to analyze them, and to improve upon them. Competitive markets necessitate complex procedures, which lead to large process specifications with sophisticated structures. Real world process models can often incorporate hundreds of modeling constructs. While a large degree of detail complicates the comprehension of the processes, it is essential to many analysis tasks. This paper presents a technique to abstract, i.e., to simplify process models. Given a detailed model, we introduce abstraction rules which generalize process fragments in order to bring the model to a higher abstraction level. The approach is suited for the abstraction of large process specifications in order to aid model comprehension as well as decomposing problems of process model analysis. The work is based on process structure trees that have recently been introduced to the field of business process management.
CogSketch
Authors: Ken Forbus, Andrew Lovett, Kate Lockwood, Jon Wetzel, Camillia Matuk, Ben Jee, Jeffrey Usher
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

CogSketch is an open-domain sketch understanding system. CogSketch takes a unique approach to sketch understanding that focuses less on low-level recognition and more on high-level reasoning with sketches. In addition to demonstrating the basic system, we will showcase applications to cognitive simulation and education.
Energy-Efficient TDMA-Based MAC Protocol for Wireless Body Area Networks
Authors: Stevan Marinkovic, Christian Spagnol, Emanuel Popovici
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

Body Area Networks (BAN) are a specific type of Network structure. They are spread over a very small area and their available power is heavily constrained. Hence it is useful to have gateway points in the network, such as nodes carried around the belt, that are less power constrained and can be used for network coordination. This network structure can result in very low transmission power/range for the sensors and effective TDMA timing control. This paper presents an energy-efficient MAC protocol for communication within the Wireless Body Area Network. The protocol takes advantage of the fixed nature of the Body Area Network to implement a TDMA strategy with very little communication overhead, long sleep times for the sensor transceivers and robustness to communication errors. The protocol is implemented on the Analog Devices ADF7020 RF transceivers.
Parameter Dependencies for Component Reliability Specifications
Authors: Heiko Koziolek, Franz Brosch
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Predicting the reliability of a software system at an architectural level during early design stages can help to make systems more dependable and avoid costs for fixing the implementation. Existing reliability prediction methods for component-based systems use Markov models and assume that the software architect can provide the transition probabilities between individual components. This is however not possible if the components are black boxes, only at the design stage, or not available for testing. We propose a new modelling formalism that includes parameter dependencies into software component reliability specifications. It allows the software architect to only model a system-level usage profile (i.e., parameter values and call frequencies), which a tool then propagates to individual components to determine the transition probabilities of the Markov model. We demonstrate the applicability of our approach by modelling the reliability of a retail management system and conduct reliability predictions.