ppxscal/embedding_network huggingface dataset:
Adaptation of Graphics and Gameplay in Fitness Games by Exploiting Motion and Physiological Sensors
Authors: Fabio Buttussi, Luca Chittaro, Roberto Ranon, Alessandro Verona
Venue: Proceedings of the 8th international symposium on Smart Graphics (2007)

Obesity and lack of physical fitness are increasingly common in adults as well as children and can negatively affect health. Regular physical activity, such as jogging or training in a fitness center, is recommended by physiologists to fight obesity and improve one's fitness, but usually requires considerable motivation. Recently, researchers as well as companies have proposed a few fitness games, i.e. videogames where users play by performing physical exercises, in which game elements (such as graphics and gameplay) are used to encourage people to exercise regularly. This paper proposes a fitness game system which aims at combining arcade-style game graphics, physiological sensors (e.g. heart rate monitor, 3D accelerometer), and an adaptation engine. The adaptation engine considers personal information provided by the user (e.g., age and gender), her current heart rate and movements, and information collected during previous game sessions to adjust the required intensity of physical exercises through context-aware and user-adaptive dynamic adaptations of graphics and gameplay. Besides describing the general system, the paper presents two implemented games and a preliminary user evaluation, which also led us to introduce in the system a 3D virtual human.
Using Split Capabilities for Access Control
Authors: Alan H. Karp, Rajiv Gupta, Guillermo J. Rozas, Arindam Banerji
Venue: IEEE Software (2003)

The split-capabilities method offers improved scalability and revocation of privileges in controlling access to resources. Early releases of Hewlett-Packard's e-speak product used this method to secure the system from a variety of common attacks. Split capabilities have the advantages of traditional capabilities without their limitations. The basic idea is to divide the capability into two parts: a handle to the resource being accessed and a handle to a separate resource representing the access rights being requested. Although such separation of name from authority is potentially problematic, this system brings these two elements together in the resource's computing infrastructure.
The Threat of Intelligent Collisions
Authors: Jeremy Blum, Azim Eskandarian
Venue: IT Professional (2004)

A wireless network of intelligent vehicles can make highway travel faster and safer. But can hackers use the system to cause accidents?
Fuzzy navigation of robot system
Authors: Dimitar Lakov, Stanislav Vasilev
Venue: Proceedings of the 9th WSEAS International Conference on Fuzzy Systems (2008)

The paper presents fuzzy navigation system for a mobile robot. This navigation is based on fuzzy inference machine that performs path planning and obstacle avoidance in arbitrary complex environments. The system is built as two-level hierarchical system. On the higher level there is a controlling PC that is connected with robot control unit through duplex, wireless communication channel. A sensor system comprising four subsystems: tactile, ultrasonic, odometer, and visual is cared for collection of environment information. The inference machine consists of two mutual connected fuzzy rule bases responsible for path planning and obstacle avoidance. The fuzzy navigation strategy is obtained as a combined compromise decision between them.
Numerical Simulation of Static Noise Margin for a Six-Transistor Static Random Access Memory Cell with 32nm Fin-Typed Field Effect Transistors
Authors: Yiming Li, Chih-Hong Hwang, Shao-Ming Yu
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

We in this paper for the first time explore the static noise margin (SNM) of a six-transistor (6T) static random access memory (SRAM) cell with nanoscale silicon-on-insulator (SOI) fin-typed field effect transistors (FinFETs). The SNM is calculated with respect to the supply voltage, operating temperature, and cell ratio by performing a three-dimensional mixed-mode simulation. To include the quantum mechanical effect, the density-gradient equation is simultaneously solved in the coupled device and circuit equations. The standard deviation (¿ SNM ) of SNM versus device's channel length is computed, based upon the design of experiment and response surface methodology. Compared with the result of SNM for SRAM with 32nm planar metal-oxide-semiconductor field effect transistors, SRAM with SOI FinFETs quantitatively exhibits higher SNM and lower ¿ SNM . Improvement of characteristics resulting from good channel controllability implies that SRAM cells fabricated with FinFETs continuously maintains cell stability in sub-32nm technology nodes.
Cascade RSVM in Peer-to-Peer Networks
Authors: Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. Hoi, Wee Keong Ng
Venue: Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I (2008)

The goal of distributed learning in P2P networks is to achieve results as close as possible to those from centralized approaches. Learning models of classification in a P2P network faces several challenges like scalability, peer dynamism, asynchronism and data privacy preservation. In this paper, we study the feasibility of building SVM classifiers in a P2P network. We show how cascading SVM can be mapped to a P2P network of data propagation. Our proposed P2P SVM provides a method for constructing classifiers in P2P networks with classification accuracy comparable to centralized classifiers and better than other distributed classifiers. The proposed algorithm also satisfies the characteristics of P2P computing and has an upper bound on the communication overhead. Extensive experimental results confirm the feasibility and attractiveness of this approach.
Weighting the Coefficients in PARADISE Models to Increase Their Generalizability
Authors: Klaus-Peter Engelbrecht, Christine Kühnel, Sebastian Möller
Venue: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (2008)

For spoken dialog systems, PARADISE [Walker et al. 1997] provides a framework to train a user satisfaction prediction model on given data. The approach weights and sums interaction parameters to predict a satisfaction metric calculated from a questionnaire. In this paper, we try to tackle a major problem of these models, namely their weak generalizability. We show, that the weights associated with interaction parameters in the model change in dependence of the system's major problems by examining correlations under different quantities of understanding errors in the dialogs.
Improvement of thermal stability of Ni silicide on N+-Si by direct deposition of group III element (Al, B) thin film at Ni/Si interface
Authors: Kazuo Tsutsui, Takashi Shiozawa, Koji Nagahiro, Yoshihisa Ohishi, Kuniyuki Kakushima, Parhat Ahmet, Nobuyuki Urushihara, Mineharu Suzuki, Hiroshi Iwai
Venue: Microelectronic Engineering (2008)

The direct deposition of a thin Al or B layer at Ni/Si interface was proposed as a new method to solve a problem of degraded thermal stability of Ni silicide on heavily doped N^+-Si substrates. Significant improvement of thermal stability evaluated by the sheet resistance vs. silicidation temperature properties was observed. The improvement is attributed to suppression of agglomeration of the silicide layers. The Al layer was effective only when it was located at the Ni/Si interface before the silicidation process. The deposited Al and B layers under Ni layer segregated at the surface after the silicidation process. The use of B layer was preferable to control the phase transition from NiSi to NiSi"2.
Mixed Narrative and Dialog Content Planning Based on BDI Agents
Authors: Carlos León, Samer Hassan, Pablo Gervás, Juan Pavón
Venue: Current Topics in Artificial Intelligence: 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November 12-16, 2007. Selected Papers (2007)

There exist various narrative systems, focused on different parts of the complex process of story generation. Some of them are oriented to content planning, and some to sentence planning, with different properties and characteristics. In this paper we propose a system based on BDI agents that generates stories (creating content, performing content planning and simple sentence planning) with narrative parts and dialogs. The content for the story is generated in a multiagent social simulation system, and the content planning is based on rules and a state space search algorithm based on the system representation of the reader's perception of the story.
A Discussion Model for System Design Novices
Authors: Shoich Nakamura, Miho Watanabe, Atsuo Hazeyama, Setsuo Yokoyama, Youzou Miyadera
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

The opportunities to discuss system design as part of system development through a network continue to increase. In our university, system development education for novices is also done through a network. However, the usefulness of discussion on system development for novices is limited by various unresolved problems left from the discussion and the inability of novices to discuss these matters in a comprehensive way. We propose a discussion model designed for novices that will control such discussion smoothly, and then evaluate the model's usefulness. This model is based on state transition using discussion states and discussion comment categories.
Tractable Probabilistic Description Logic Programs
Authors: Thomas Lukasiewicz
Venue: Proceedings of the 1st international conference on Scalable Uncertainty Management (2007)

We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semantics for probabilistic dl-programs. Contrary to the previous answer set and well-founded semantics, it is defined for all probabilistic dl-programs and all probabilistic queries. Furthermore, tight (resp., tight literal) query processing under the total well-founded semantics coincides with tight (resp., tight literal) query processing under the previous well-founded (resp., answer set) semantics whenever the latter is defined. We then present an anytime algorithm for tight query processing in probabilistic dl-programs under the total well-founded semantics. We also show that tight literal query processing in probabilistic dl-programs under the total well-founded semantics can be done in polynomial time in the data complexity and is complete for EXP in the combined complexity. Finally, we describe an application of probabilistic dl-programs in probabilistic data integration for the Semantic Web.
Automatic Data Reuse in Grid Workflow Composition
Authors: Ondrej Habala, Branislav Simo, Emil Gatial, Ladislav Hluchy
Venue: Proceedings of the 8th international conference on Computational Science, Part I (2008)

Many papers, research projects, and software products have tackled the problem of automatic composition of a workflow of computer processes, which computes certain data or performs a specific task. In recent years this has also gained popularity in grid computing, especially in connection with semantic description of resources usable in the workflow. However, most of the works dealing with semantically-aided workflow composition propose solutions only for workflows of processes, without the data necessary to execute them. We describe the design of a system, which will be able to find not only the processes, but also the content for their execution, based solely on the list of available resources and a description of the required target of the workflow. The solution is based on our previous work in the project K-Wf Grid, utilizes semantic description of resources by means of ontologies, and operates on a SOA-based grid composed of web services. It is being developed in the context of a project called SEMCO-WS.
The application of longitudinal wave propagation theory in case of impedance transformers utilized for ultrasonic welding
Authors: Grigore Liviu Odobescu
Venue: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information (2008)

The ultrasonic vibrations, having frequency in (20-40) kHz range and high energy (1-2) kW are utilized in non-conventional welding technology. With the help of this technology, the aluminum - aluminum metal can weld. The method presented in this paper starts from the general form of plane longitudinal waves propagation equation through bars with different sections and thickness. The mathematical expressions were finding for the mechanical tensions variations and for the amplitude vibration in function of the shape of the bars and the material from which are they made. The curves traced help us to design the impedance transformer, the component that it is finding between the ultrasound vibration generators (formed by piezoelectric elements) and the welding head. The derived equations were certifying in case of a welding machine TELSONIC-MPS-2 type. The paper proposes to realize a program in order to calculate and then experimental verify in case of an acoustic chain intended to substitute the defective acoustic chain, which exists on welding machine TELSONIC-MPS-2. The paper presents the principle of the calculus, the calculus mode and experimental results obtained by taken in account from a few models selected for this purpose.
Learning Higher Accuracy Decision Trees from Concept Drifting Data Streams
Authors: Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto, Koichiro Mihara
Venue: Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence (2008)

In this paper, we propose to combine the naive-Bayes approach with CVFDT, which is known as one of the major algorithms to induce a high-accuracy decision tree from time-changing data streams. The proposed improvement, called CVFDTNBC, induces a decision tree as CVFDT does, but contains naive-Bayes classifiers in the leaf nodes of the induced decision tree. The experiment using the artificially generated time-changing data streams shows that CVFDTNBC can induce a decision tree with more accuracy than CVFDT does.
The story of Firefox: from underdog to superhero
Authors: James Gray
Venue: Linux Journal (2008)

The fascinating story of how Firefox went from underdog to top-dog browser.
Note: Unavoidable patterns
Authors: Jacob Fox, Benny Sudakov
Venue: Journal of Combinatorial Theory Series A (2008)

Let F"k denote the family of 2-edge-colored complete graphs on 2k vertices in which one color forms either a clique of order k or two disjoint cliques of order k. Bollobas conjectured that for every @e>0 and positive integer k there is n(k,@e) such that every 2-edge-coloring of the complete graph of order n>=n(k,@e) which has at least @e(n2) edges in each color contains a member of F"k. This conjecture was proved by Cutler and Montagh, who showed that n(k,@e)
Design for coincidence: incorporating real world artifacts in location based games
Authors: Josephine Reid
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

As location based games move players out of the house and onto the streets the experience of game play radically changes. Game designers have the opportunity to incorporate artifacts, elements and events that might naturally occur in the real world into the game play so that a particular place becomes more meaningful. This paper explores the relevance of place and the idea of "design for coincidence". Design for coincidence is illustrated through case studies and a number of example games that show how this approach has been effective in location based games.
Object Based Clustering Using Hybrid Algorithms
Authors: Nor Hafizah Abd. Razak, Noridayu Manshor, Mandava Rajeswari, Dhanesh Ramachandram
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

This paper presents a hybrid algorithm for object based clustering. The algorithm is designed based on hybrid of hierarchical and k-means clustering algorithm. For this work, we used dataset consist of natural imagery collected from PASCAL database 2006 collection and Google images. A collection of low level features image is used to validate the performance of our approach. Experimental results show that hybrid algorithm produced higher accuracy compared to k-means and hierarchical algorithm by up to 25%.
Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach
Authors: Minakshi Banerjee, Malay K. Kundu
Venue: Applied Soft Computing (2008)

Reliable corner detection is an important task in determining shape of different regions in an image. To detect corners in a gray level image under imprecise information, an algorithm based on fuzzy set theoretic model is proposed. The uncertainties arising due to various types of imaging defects such as blurring, illumination change, noise, etc., usually result in missing of significant curvature junctions (corners). Fuzzy set theory based modeling is well known for efficient handling of impreciseness. In order to handle the incompleteness arising due to imperfection of data, it is reasonable to model image properties in fuzzy frame work for reliable decision making. The robustness of the proposed algorithm is compared with well known conventional detectors. The performance is tested on a number of benchmark test images to illustrate the efficiency of the algorithm.
The Interaction Plateau: Answer-Based Tutoring < Step-Based Tutoring = Natural Tutoring
Authors: Kurt Vanlehn
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

Face-to-face tutoring by an expert human tutor is widely thought to be more effective than intelligent tutoring systems (ITS), which are in turn thought to be more effective than computer-aided instruction (CAI), computer-based training (CBT), etc. The latter tutoring systems have students work out complex solutions on paper, then enter their answer into the tutor, which gives them feedback and hints on their answer. Thus, CAI, CBT, etc. are answer-based tutoring systems. This is a low level of interactivity, in that the student may make many inferences between the time they start the problem and when they first get feedback on their thinking. With a typical ITS, such as the Andes physics tutoring system, students enter every step of a complex solution into the tutor, which gives them feedback and hints, either immediately or when they have finished entering all the steps. These systems are step-based tutoring systems, because the feedback and hints are directed at steps rather than the final answer. They are moderately interactive, because students make a moderate number of inferences per step. When interacting face-to-face with a human tutor, students often talk aloud as they reason, and thus allow the tutor to hear and intervene at almost every inference made by the student. Thus, human tutoring is highly interactive. Natural language tutoring systems, such as Why2-Atlas and Cordillera, are engineered to act like human tutors, so they too are highly interactive.
Ontology-Based RFID System Model for Supporting Semantic Consistency in Ubiquitous Environment
Authors: Dongwon Jeong, Keunhwan Jeon, Jang-Won Kim, Jinhyung Kim, Doo-Kwon Baik
Venue: Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers (2007)

The emerging ubiquitous computing is changing the current computing paradigm, and lets the ubiquitous RFID applications consistently and independently utilize the sensed information from the intelligent and powerful tags which are in a variety of applications fields. One of the most important issues is how to support the semantic consistency between data from various tags in different RFID applications under ubiquitous environment. This paper proposes a new RFID model to resolve the issue and to support the application-independent semantic maintenance in the ubiquitous computing environment based on WordNet, a widely used ontology. Our noble RFID model provides an infrastructure support for the semantic consistency and enables the RFID application-independent information utilization.
Do humans identify efficient strategies in structured peer-to-peer systems?
Authors: Stephan Schosser, Klemens Böhm, Bodo Vogt
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 (2008)

In the last years, distributed coordinator-free systems, e.g., peer-to-peer systems (P2P systems), have attracted much interest among researchers and practitioners. In these systems it is difficult to motivate participants to cooperate. To this end, researchers have proposed various incentive mechanisms. In this paper we are interested in the following question: Do human beings indeed use the strategies that are rational in presence of the incentive mechanism? As humans control the agents in distributed coordinator-free systems, e.g., the peers in peer-to-peer systems, answering this question is essential. We conduct human experiments in the context of structured P2P systems to answer it. This paper shows that humans tend to find it difficult to resort to the strategies expected by the system designer.
Cooperative, Cross-Discipline Teaching and Learning
Authors: Vasilije Kokotovich
Venue: Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering (2008)

This paper will discuss the outcomes and findings of a cross-discipline research experiment, which was a pilot study aimed at developing cross-discipline teaching modules within science and industrial design. A central aim was to develop teaching techniques that would equip science students with creative conceptualisation skills and strategies that lead to innovation in science, and provided industrial design students with insights into next-generation nano-technologies that can be explored and used as components within innovative artefacts. Early results suggest that there was a positive effect in the development and enhancement of cross-disciplinary teaching modules. Cross-discipline cooperative lectures and practical sessions were developed and tested on focus groups of science students and industrial design students. Video-taped data of the study provided feedback. This data was critically analysed. This valuable data/feedback informs new cross-disciplinary teaching methodologies and strategies. Analysis of the student comments revealed that both groups of students highly valued the new learning experiences. It is argued that working cooperatively and jointly in the co-development of cross-faculty teaching initiatives will improve the quality of teaching, via interactions that introduce and develop alternative teaching practices. While cooperative design may well refer to a cooperative set of designers within the same general disciplines, this example extends the view to demonstrate the importance of cooperative practices between disciplines.