ppxscal/embedding_network huggingface dataset:
Automatic Classification of Expressive Hand Gestures on Tangible Acoustic Interfaces According to Laban's Theory of Effort
Authors: Antonio Camurri, Corrado Canepa, Simone Ghisio, Gualtiero Volpe
Venue: Gesture-Based Human-Computer Interaction and Simulation: 7th International Gesture Workshop, GW 2007, Lisbon, Portugal, May 23-25, 2007, Revised Selected Papers (2009)

Tangible Acoustic Interfaces (TAIs) exploit the propagation of sound in physical objects in order to localize touching positions and to analyse user's gesture on the object. Designing and developing TAIs consists of exploring how physical objects, augmented surfaces, and spaces can be transformed into tangible-acoustic embodiments of natural seamless unrestricted interfaces. Our research focuses on Expressive TAIs, i.e., TAIs able at processing expressive user's gesture and providing users with natural multimodal interfaces that fully exploit expressive, emotional content. This paper presents a concrete example of analysis of expressive gesture in TAIs: hand gestures on a TAI surface are classified according to the Space and Time dimensions of Rudolf Laban's Theory of Effort. Research started in the EU-IST Project TAI-CHI (Tangible Acoustic Interfaces for Computer-Human Interaction) and is currently going on in the EU-ICT Project SAME (Sound and Music for Everyone, Everyday, Everywhere, Every way, www.sameproject.eu). Expressive gesture analysis and multimodal and cross-modal processing are achieved in the new EyesWeb XMI open platform (available at www.eyesweb.org) by means of a new version of the EyesWeb Expressive Gesture Processing Library.
A location service protocol for heterogeneous mobile ad hoc networks with sparse powerful nodes
Authors: Shusen Yang, Xinyu Yang, Huijie Yang
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

Many realistic Mobile Ad Hoc Networks (MANETs) is composed of nodes with heterogeneous communication capability in terms of transmission power, data rate, battery life, reliability, etc. All existing routing and Location Service (LS) protocols which exploit powerful nodes' capability in Heterogeneous MANETs (H-MANETs) need high density of powerful nodes. However, powerful nodes are more expensive and complex than low-power nodes. In this paper, we present an Intermittently Connected Backbone Location Service (ICBLS) for H-MANETs with very sparse powerful nodes. We prove the efficiency of ICBLS and drive the mathematic expression of location update distance and location registration overhead. To the best of the author's knowledge, ICBLS is the first protocol for the Intermittently Connected graph consists of powerful nodes in H-MANETs.
A CS unplugged design pattern
Authors: Tomohiro Nishida, Susumu Kanemune, Yukio Idosaka, Mitaro Namiki, Tim Bell, Yasushi Kuno
Venue: Proceedings of the 40th ACM technical symposium on Computer science education (2009)

"Computer Science (CS) Unplugged" is an educational method for introducing non-specialists to concepts of CS through hands-on activities that don't require the use of a computer. Often the deeper concepts of CS have been considered as being too difficult for elementary and middle school students, and many educators teaching "IT" are not even aware of the richness of the topic. CS Unplugged methods have been used successfully with students of a wide range of ages. In this paper, we analyze the structure of CS Unplugged activities to identify the elements that make them work well. Based on the analysis, we propose a design pattern which will be useful as a guideline for developing new activities, and to revise existing ones. We also describe our experience developing original teaching material, using the pattern as a benchmark for evaluation.
Visual Hints for Tangible Gestures in Augmented Reality
Authors: Sean White, Levi Lister, Steven Feiner
Venue: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (2007)

Tangible Augmented Reality (AR) systems imbue physical objects with the ability to act and respond in new ways. In particular, physical objects and gestures made with them gain meaning that does not exist outside the tangible AR environment. The existence of this new set of possible actions and outcomes is not always apparent, making it necessary to learn new movements or gestures. Addressing this opportunity, we present visual hints, which are graphical representations in AR of potential actions and their consequences in the augmented physical world. Visual hints enable discovery, learning, and completion of gestures and manipulation in tangible AR. Here, we discuss our investigation of a variety of representations of visual hints and methods for activating them. We then describe a specific implementation that supports gestures developed for a tangible AR user interface to an electronic field guide for botanists, and present results from a pilot study.
MEDOC: a methodology for designing and evaluating large-scale real-time systems
Authors: Eric Le Mer
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

We introduce a global design methodology for large-scale real-time systems; it is based on such concepts as data-flow analysis, sequential processes, communication links, abstract architecture. These concepts give us a guide for designing real-time systems; two tools are also introduced, having a specific action in the design process: OGIVE, a Petri net analyzer, makes the verification and the validation of the abstract structure; OSCAR, analytical queuing network, oriented, evaluates quantitatively some implementation choices of the real system. These tools are integrated very early in the design process to make us sure we shall not have dramatic regressions to do for, eventually, redesigning the system.
Hacking social networks
Authors: Lynn Greiner
Venue: netWorker (2009)

The more users trust the community the more they risk having their trust compromised.
Representing and Validating Digital Business Processes
Authors: Lianne Bodenstaff, Paolo Ceravolo, Ernesto Damiani, Cristiano Fugazza, Karl Reed, Andreas Wombacher
Venue: Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web (2008)

Today, the term extended enterprise (EE) is typically meant to designate any collection of organizations sharing a common set of goals. In this broad sense, an enterprise can be a whole corporation, a government organization, or a network of geographically distributed entities. EE applications support digitalization of traditional business processes, adding new processes enabled by e-business technologies (e.g. large scale Customer Relationship Management).
BSG-Route: a length-matching router for general topology
Authors: Tan Yan, Martin D. F. Wong
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Length-matching routing is a very important issue for PCB routing. Previous length-matching routers [1]--[3] all have assumptions on the routing topology whereas practical designs may be free of any topological constraint. In this paper, we propose a router that deals with general topology. Unlike previous routers, our router does not impose any restriction on the routing topology. Moreover, our router is gridless. Its performance does not depend on the routing grid size of the input while routers in [1]--[3] do. This is a big advantage because modern PCB routing configurations usually imply huge routing grids. The novelty of this work is that we view the length-matching routing problem as an area assignment problem and use a placement structure, Bounded-Sliceline Grid (BSG) [4], to help solving the problem. Experimental results show that our router can handle practical designs that previous routers can't handle. For designs that they could handle, our router runs much faster. For example, in one of our data, we obtain the result in 88 seconds while the router in [3] takes more than one day.
Gesture Based 3D Man-Machine Interaction using a Single Camera
Authors: Senthil Kumar, Jakub Segen
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

This paper describes a new gesture based input interface system that allows users to control both 2D and 3D applications using simple hand gestures. Using a single camera attached to the computer, the system tracks the user's hand in three dimensions and computes up to four parameters in real-time (60 Hz). The system recognizes three gestures that can be interpreted as discrete commands to applications. This system is an off-shoot of an earlier system called GestureVR that requires multiple cameras. Since the new system uses a single video source it can run readily on a standard home computer equipped with an inexpensive camera and is, therefore, accessible to most users. The system can be used with applications that require 2D and 3D interactions. Examples discussed in this paper include 3D virtual fly-thrus, graphical scene composers and video games.
The applications of artificial intelligence to law: a survey of six current projects
Authors: Sandra Cook, Caroled Hafner, L. Thorne McCarty, Jeffrey A. Meldman, Mark Peterson, James A. Sprowl, N. S. Sridharan, D. A. Waterman
Venue: Proceedings of the May 4-7, 1981, national computer conference (1981)

The literature on computer-based consultation systems has often suggested the possibility of building an expert system in the field of law, but it is only recently that several researchers have begun to explore this possibility seriously. For this session, we have assembled summaries of six major projects on the applications of artificial intelligence to legal problem domains, and we have invited representatives of these six projects to participate in a panel discussion of their work.
Discriminative optical flow tensor for video semantic analysis
Authors: Xinbo Gao, Yimin Yang, Dacheng Tao, Xuelong Li
Venue: Computer Vision and Image Understanding (2009)

This paper presents a novel framework for effective video semantic analysis. This framework has two major components, namely, optical flow tensor (OFT) and hidden Markov models (HMMs). OFT and HMMs are employed because: (1) motion is one of the fundamental characteristics reflecting the semantic information in video, so an OFT-based feature extraction method is developed to make full use of the motion information. Thereafter, to preserve the structure and discriminative information presented by OFT, general tensor discriminant analysis (GTDA) is used for dimensionality reduction. Finally, linear discriminant analysis (LDA) is utilized to further reduce the feature dimension for discriminative motion information representation; and (2) video is a sort of information intensive sequential media characterized by its context-sensitive nature, so the video sequences can be more effectively analyzed by some temporal modeling tools. In this framework, we use HMMs to well model different levels of semantic units (SU), e.g., shot and event. Experimental results are reported to demonstrate the advantages of the proposed framework upon semantic analysis of basketball video sequences, and the cross validations illustrate its feasibility and effectiveness.
Videolyzer: quality analysis of online informational video for bloggers and journalists
Authors: Nicholas Diakopoulos, Sergio Goldenberg, Irfan Essa
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Tools to aid people in making sense of the information quality of online informational video are essential for media consumers seeking to be well informed. Our application, Videolyzer, addresses the information quality problem in video by allowing politically motivated bloggers or journalists to analyze, collect, and share criticisms of the information quality of online political videos. Our interface innovates by providing a fine-grained and tightly coupled interaction paradigm between the timeline, the time-synced transcript, and annotations. We also incorporate automatic textual and video content analysis to suggest areas of interest for further assessment by a person. We present an evaluation of Videolyzer looking at the user experience, usefulness, and behavior around the novel features of the UI as well as report on the collaborative dynamic of the discourse generated with the tool.
A Distributed Target Tracking Algorithm Based on Asynchronous Wireless Sensor Networks
Authors: Hao Xue, Bin Chen, Jiangwen Wan
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

To reduce the energy consumption in wireless sensor networks during target tracking, a distributed target tracking method applied in asynchronous wireless sensor networks was proposed. Firstly, the dynamic clusters were constructed and adjusted according to the distances between nodes and target, which were the unit for time computing. The cluster headers were responsible for was calculation and transferring of tracking time among different clusters. Then, the set of particle was separated to some subsets by parallel particle filter, which was sampled, weighed and resampled in several nodes. Finally, the estimation of local states was implemented by cluster header through gathering the results uploaded from each node. The simulation results show that parallel particle filter has good performances on tracking accuracy and can reduce communication traffic about 38% compared with center particle filter.
Pathways towards Next Generation Cognitive Ubiquitous Networks (Keynote Lecture)
Authors: Khaled Ben Letaief
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01 (2009)

Over the past decade, wireless communications has seen an exponential growth and will certainly continue to witness spectacular developments due to the emergence of new interactive multimedia applications and highly integrated systems driven by the rapid growth in information services and microelectronic devices. So far, most of the current mobile systems are mainly targeted to voice communications with low transmission rates. In the near future, however, broadband data access at high transmission rates will be needed to provide users packet-based connectivity to a plethora of services. It is also almost certain that the neXt Generation (XG) wireless systems will consist of complementary systems with a set of different standards and technologies along with different requirements and complementary capabilities that will offer users ubiquitous wireless connectivity between mobile and desktop computers, machines, game systems, cellular phones, consumer electronic products, and other hand-held devices. A key requirement in future wireless systems is their ability to provide broadband connectivity with end-to-end Quality of Service (QoS), a high network capacity, and throughput at a low cost.
Hardware Design of Shape-Preserving Contour Tracing for Object of Segmented Images
Authors: Roy Chaoming Hsu, Yaw-Yu Lee, Bin-Wen Kao, Din-Yuen Chan
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

A hardware design of shape-preserving contour tracing for objects in a segmented image for robot vision and pattern recognition applications is presented in this paper. The proposed contour tracing consists of two processes, namely progressive boundary linking (PBL) and synchronous redundancy pruning (SRP). The proposed method is realized on a System on Chip (SoC) with open-source processor IP core, LEON3, utilizing AMBA bus. Implementation results show that the proposed design achieves better results in terms of accuracy and hardware efficiency comparing with other existing boundary extraction methods such as morphological boundary extraction.
RIPS net: the impact of an optical communication network
Authors: Koji Yada, Masanori Honda, Seiji Fujino
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

The new RIPS (Research Information Processing System), installed in the Tsukuba Research Center of AIST (Agency of Industrial Science and Technology) at Tsukuba Science New City in Japan, began operation in January 1981. AIST thought of the RIPS plan for the purpose of more creative, more advanced research activities, taking advantage of the possibilities for centralization, since a number of national research organizations were gathered in Tsukuba. RIPS is a distributed integral system, decentralized in regard to the individuality of the laboratories or the researchers, but centralized by its very large-scale computer system. The RIPS network, using optical fiber, is composed of three kinds of networks taking into account cost performance and technical innovations of the future. One is the MultiPurpose Data Highway loop, handling a mix of coded data and voice data. Another is the star-pattern High Speed Dedicated Network to expand the distance between the computer channel and I/Os. The other is the star-pattern Video Distribution Network, through which users can observe the state of the two networks and the conditions of the RIPS center system. Overall length of optical fiber is about 360 km.
Group-specific face verification using soft biometrics
Authors: Gian Luca Marcialis, Fabio Roli, Daniele Muntoni
Venue: Journal of Visual Languages and Computing (2009)

Soft biometrics have been recently proposed for improving the verification performance of biometric recognition systems. Examples of soft biometrics are skin, eyes, hair colour, height, and ethnicity. Some of them are often cheaper than ''hard'', standard biometrics (e.g., face and fingerprints) to extract. They exhibit a low discriminant power for recognizing persons, but can add some evidences about the personal identity, and can be useful for a particular set of users. In particular, it is possible to argue that users with a certain high discriminant soft biometric can be better recognized. Identifying such users could be useful in exploiting soft biometrics at the best, as deriving an appropriate methodology for embedding soft-biometric information into the score computed by the main biometric. In this paper, we propose a group-specific algorithm to exploit soft-biometric information in a biometric verification system. Our proposal is exemplified using hair colour and ethnicity as soft biometrics and face as biometric. Hair colour and information about ethnicity can be easily extracted from face images, and used only for a small number of users with highly discriminant hair colour or ethnicity. We show by experiments that for those users, hair colour or ethnicity strongly contributes to reduce the false rejection rate without a significant impact on the false acceptance rate, whilst the performance does not change for other users.
Research on Flexibility of the Workflow Reference Model
Authors: Zhuo-yuan Xiang, Tian-hen Pan
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Workflow Management System is a software systemthat runs on one or more work flow engines that used todefine, implement and manage the workflow, interacts withworkflow executors, facilitates the workflow instance’sexecution and monitors the state during the workflowexecution. Mobile Agent system supporting workflowmanagement can make the distributed workflow in OASystem more simple and flexible.
Impact of hot-potato routing changes in IP networks
Authors: Renata Teixeira, Aman Shaikh, Timothy G. Griffin, Jennifer Rexford
Venue: IEEE/ACM Transactions on Networking (TON) (2008)

Despite the architectural separation between intradomain and interdomain routing in the Internet, intradomain protocols do influence the path-selection process in the Border Gateway Protocol (BGP). When choosing between multiple equally-good BGP routes, a router selects the one with the closest egress point, based on the intradomain path cost. Under such hot-potato routing, an intradomain event can trigger BGP routing changes. To characterize the influence of hot-potato routing, we propose a technique for associating BGP routing changes with events visible in the intradomain protocol, and apply our algorithm to a tier-1 ISP backbone network. We show that (i) BGP updates can lag 60 seconds or more behind the intradomain event; (ii) the number of BGP path changes triggered by hot-potato routing has a nearly uniform distribution across destination prefixes; and (iii) the fraction of BGP messages triggered by intradomain changes varies significantly across time and router locations. We show that hot-potato routing changes lead to longer delays in forwarding-plane convergence, shifts in the flow of traffic to neighboring domains, extra externally-visible BGP update messages, and inaccuracies in Internet performance measurements.
Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR
Authors: Sangeeta B. English, Shou-Ching Shih, Marco F. Ramoni, Lois E. Smith, Atul J. Butte
Venue: Journal of Biomedical Informatics (2009)

Though genome-wide technologies, such as microarrays, are widely used, data from these methods are considered noisy; there is still varied success in downstream biological validation. We report a method that increases the likelihood of successfully validating microarray findings using real time RT-PCR, including genes at low expression levels and with small differences. We use a Bayesian network to identify the most relevant sources of noise based on the successes and failures in validation for an initial set of selected genes, and then improve our subsequent selection of genes for validation based on eliminating these sources of noise. The network displays the significant sources of noise in an experiment, and scores the likelihood of validation for every gene. We show how the method can significantly increase validation success rates. In conclusion, in this study, we have successfully added a new automated step to determine the contributory sources of noise that determine successful or unsuccessful downstream biological validation.
Understanding risk-taking behavior of groups: A "decision analysis" perspective
Authors: Joseph S. Valacich, Saonee Sarker, Jamie Pratt, Mike Groomer
Venue: Decision Support Systems (2009)

Past research has extensively investigated the effect of media, especially focusing on how anonymity increases risk-related behaviors of groups when using computer-mediated communication (CMC). This study extends prior research by examining the differences in group risk-taking behaviors between face-to-face groups and completely non-anonymous CMC groups (i.e., groups working in a fully identified, synchronous CMC environment similar to popular instant messaging systems utilized widely within organizations). Drawing on the ''decision analysis'' perspective, a key framework for understanding organizational decision-making, the study also examines the effects of the firm's risk preferences as well as the type of information distribution among group members (i.e., full information known to all group members versus partial information know by only some of the members) on the groups' risk-taking behaviors. Results from a laboratory experiment using student subjects found no differences in risk-taking behaviors between CMC and face-to-face groups; additionally, no differences were found related to how information was distributed among group members. A significant effect was found, however, for the risk preference of the firm, showing that risk-neutral firms influenced groups to make riskier decisions than groups from risk-averse firms. Finally, groups within risk-neutral firms receiving partial information made riskier decisions than groups receiving full information. The implications of these results for future research and practice are examined.