ppxscal/embedding_network huggingface dataset:
SeamlessDesign: A Face-to-Face Collaborative Virtual/Augmented Environment for Rapid Prototyping of Geometrically Constrained 3-D Objects
Authors: Kiyoshi Kiyokawa, Haruo Takemura, Naokazu Yokoya
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

In this paper, we propose SeamlessDesign, a novel collaborative workspace for rapid creation of reactive 3-D objects. SeamlessDesign has two significant characteristics in terms of seamless. First, SeamlessDesign supports a wide range of designing processes seamlessly. Users of SeamlessDesign can design from rough drafts to highly detailed 3-D objects in a unified and intuitive manner, including not only their geometric appearances but also their behavioral design. Second, SeamlessDesign utilizes both virtual and augmented setups seamlessly for supporting two-user face-to-face collaboration. In a see-through mode, using see-through head mounted displays, users of SeamlessDesign see their partners as they are, and in a blind mode, the real scene gets invisible and they see realistic avatars in the case of navigation or scaling of the workspaces. Owing to these characteristics, users of SeamlessDesign can create complicated, reactive 3-D objects in a short time.
Watermarking for Authentication of LZ-77 Compressed Documents
Authors: Yanfang Du, Jing Zhang, Yuting Su
Venue: Proceedings of the 6th International Workshop on Digital Watermarking (2008)

Fragile Watermarking by exploiting the multiplicity of encoding of a file using LZ77- based compressed method (we called"LZS-77"), has been proposed recently as a new method of document authentication. It allows one to hide enough information within the compressed document to warrant its authenticity. However, the watermark embedding will degrade the compression performance. In this paper, some variations have been made to the LZS-77 algorithm to reduce the compression degradation. The experimental results show that our algorithm (we called"LZSC-77"), compared to the LZS-77 algorithm, can improve compression rates on many files of the Cargary corpus and Canterbury corpus.
Ghost Interruption
Authors: Lien Fan Shen, Satu Hummasti, H. James de St. Germain
Venue: ACM SIGGRAPH ASIA 2008 artgallery: emerging technologies (2008)

Ghost Interruption combines animation, contemporary dance choreography, and computer engineering to create an installation-type performance in which real-time interaction among animation, dancers, and viewers becomes a central part of the progression of the piece.
Original paper: Automatic sorting of satsuma (Citrus unshiu) segments using computer vision and morphological features
Authors: J. Blasco, N. Aleixos, S. Cubero, J. Gómez-Sanchís, E. Moltó
Venue: Computers and Electronics in Agriculture (2009)

Although most of the process of canning mandarin segments is already automated, this has still not been achieved with the on-line inspection and sorting of the fruit because of the difficulty in the handling of the product and the complexity of the inspection software required to classify the segments following subjective criteria. A machine vision-based system has been developed to classify the objects that reach the line into four categories, detecting broken fruit attending, basically, to the shape of the fruit. A full working prototype has been developed for singulating, inspecting and sorting satsuma (Citrus unshiu) segments. The segments are transported over semi-transparent conveyor belts to allow illuminating the fruit from the bottom to enhance the shape of the segments against the background. The system acquires images of the segments using two cameras connected to a single computer and processes them in less than 50ms. By extracting morphological features from the objects, the system automatically identifies pieces of skin and other raw material, and separates whole segments from broken ones; it is also capable to grade between those with a slight or a large degree of breakage. Tests showed that the machine is able to correctly classify 93.2% of sound segments.
Plenary lecture V: multi-channel convolution for room acoustics auralization
Authors: Lamberto Tronchin
Venue: Proceedings of the 8th conference on Signal, Speech and image processing (2008)

The application of multi-channel convolution algorithms for room acoustics auralisation is actually considered the most suitable technique for correctly reproducing the sound characteristics of a room. The initial simple convolution from a dry signal with a mono impulse response moved to a binaural convolution and therefore to a more complex system. On the other hand, the new technology has allowed the definition of a new set of physical parameters that could be able to correctly describe the sound characteristics of the room. During this lecture, the results of a world-wide campaign of acoustic measurement of impulse responses in different special theatres and auditoria are presented. Moreover, after an overview on the most common techniques utilised for 3D auralization, an innovative procedure of measuring and reproducing spatial sound characteristics is presented. The application of this new technique in virtual 3D sound reconstruction is presented. Furthermore, the methodology is compared with other techniques of 3D sound reproduction. The possibility to enhance the spatial reproduction of sound quality in real spaces and the comprehensibility of spatial parameters is finally considered and presented in different cases.
Effects of time pressure and communication environment on team processes and outcomes in dyadic planning
Authors: Rick van der Kleij, Jameela T. E. Lijkwan, Peter C. Rasker, Carsten K. W. De Dreu
Venue: International Journal of Human-Computer Studies (2009)

An experiment compared dyadic performance in a radio communication and a more sophisticated communication environment to face-to-face (FtF) meetings. Thirty-six dyads, working under low or high time-pressure conditions, needed to combine information and to produce a written plan. Teams working in the sophisticated communication environment collaborated from separate locations over a networked computer system allowing them to share a note-taking program, work in parallel, and exchange in real-time audio as well as video. Results revealed detrimental effects of time pressure on both team processes and outcomes, and supported our hypothesis that distributed teams can perform as well as FtF teams. No differences were found between FtF teams and teams working in the sophisticated communication environment on process and outcome measures, except for the quantity of performance: The sophisticated communication environment enabled distributed teams to work on the task more rapidly than their FtF counterparts. Radio teams produced plans of lower quality and were less satisfied with the quality of their planning process than FtF teams.
A Methodology for Scientific Customer Relationship Management
Authors: Melissa Machado, Jonice Oliveira, Jano M. Souza
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Customer Relationship Management (CRM) is a process that can cover every mode of customer interaction. This concept has been widely used in business language, enabling companies to gain more knowledge about their customers which can be used to improve marketing and sales targeting, improving their results. University and Research Institutions (URIs), as any other organization, need to satisfy the needs of their customers, making them more competitive in the scientific environment. As a result of this analysis a scientific CRM (SCRM) for URIs is proposed, with the development of a Methodology and the creation of a System Architecture to manage all kinds of relationship in the academic and scientific environment.
Reliability of a navigation system for intra-operative evaluation of antero-posterior knee joint laxity
Authors: Nicola Lopomo, Simone Bignozzi, Sandra Martelli, Stefano Zaffagnini, Francesco Iacono, Andrea Visani, Maurilio Marcacci
Venue: Computers in Biology and Medicine (2009)

Background: The purpose of this study was to investigate about the reliability of measuring antero-posterior laxity within-subjects for in-vivo studies using a navigation system. Methods: The analysis was performed by enroling 60 patients undergoing anterior cruciate ligament ACL reconstruction, and assessing AP laxity during the Lachman and drawer tests. Results: For the navigation system standard deviation for intra-trial measures was 0.7mm, thus the intra-trial repeatability coefficient was 2.2mm; standard deviation for intra-trial measure was 1.2mm, while the reference inter-trial repeatability coefficient between expert surgeons was 3.4mm. Conclusions: In conclusion, this study suggests that KIN-Nav may represent a new method to measure and document AP laxity intra-operatively with improved accuracy and test the effect of surgical treatment in-vivo with higher sensitivity than in the past and this study quantify its reliability for within-subjects studies performed by a single expert surgeon.
An index and retrieval framework integrating perceptive features and semantics for multimedia databases
Authors: Zhiping Shi, Qing He, Zhongzhi Shi
Venue: Multimedia Tools and Applications (2009)

Typically, in multimedia databases, there exist two kinds of clues for query: perceptive features and semantic classes. In this paper, we propose a novel framework for multimedia databases index and retrieval integrating the perceptive features and semantic classes to improve the speed and the precision of the content-based multimedia retrieval (CBMR). We develop a semantics supervised clustering based index approach (briefly as SSCI): the entire data set is divided hierarchically into many clusters until the objects within a cluster are not only close in the perceptive feature space but also within the same semantic class, and then an index term is built for each cluster. Especially, the perceptive feature vectors in a cluster are organized adjacently in disk. So the SSCI-based nearest-neighbor (NN) search can be divided into two phases: first, the indexes of all clusters are scanned sequentially to get the candidate clusters with the smallest distances from the query example; second, the original feature vectors within the candidate clusters are visited to get search results. Furthermore, if the results are not satisfied, the SSCI supports an effective relevance feedback (RF) search: users mark the positive and negative samples regarded a cluster as unit instead of a single object; then the Bayesian classifiers on perceptive features and that on semantics are used respectively to adjust retrieval similarity distance. Our experiments show that SSCI-based searching was faster than VA+-based searching; the quality of the search result based on SSCI was better than that of the sequential search in terms of semantics; and a few cycles of the RF by the proposed approach can improve the retrieval precision significantly.
Generalized structured programming
Authors: Johannes J. Martin
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

Structured Programming as defined by Dijkstra produces programs whose flow can be described by one of the basic flow graphs shown in Figure 1.
On the design of communication-aware fault-tolerant scheduling algorithms for precedence constrained tasks in grid computing systems with dedicated communication devices
Authors: Qin Zheng, Bharadwaj Veeravalli
Venue: Journal of Parallel and Distributed Computing (2009)

Fault-tolerant scheduling is an imperative step for large-scale computational Grid systems, as often geographically distributed nodes co-operate to execute a task. By and large, primary-backup approach is a common methodology used for fault tolerance wherein each task has a primary and a backup on two different processors. In this paper, we address the problem of how to schedule DAGs in Grids with communication delays so that service failures can be avoided in the presence of processors faults. The challenge is, that as tasks in a DAG have dependence on each other, a task must be scheduled to make sure that it will succeed when any of its predecessors fails due to a processor failure. We first propose a communication model and determine when communications between a backup and backups of its successors are necessary. Then we determine when a backup can start and its eligible processors so as to guarantee that every DAG can complete upon any processor failure. We develop two algorithms to schedule backups, which minimize response time and replication cost, respectively. We also develop a suboptimal algorithm which targets minimizing replication cost while not affecting response time. We conduct extensive simulation experiments to quantify the performance of the proposed algorithms.
Improvement security for RuBee radio-WiMAX mesh networks
Authors: Tin-Yu Wu, Jhong-Ci Wu, Wei-Fang Weng
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

Next generation communication standard integrate various access networks technology to become mesh networks. One of air interface standard is metropolitan area wireless broadband service. IEEE 802.16 is the basis for Worldwide Interoperability for Microwave Access (WiMAX) certification which is the next evolution in wireless technology. In this paper we aim for new tag technology RuBee (IEEE 1902.1) to surf networks by WiMAX. The RuBee tag has very slow baud and 131 kHz as an operating frequency that cannot transmission immediately. We propose the GAP (Gateway Access Point) to transfer data between RuBee radio and WiMAX. Furthermore, the AAA problems improve in the two air-interface standards. There are several advantages such as GAP sort RuBee tags by Group Identity Key and raise the efficiency with roaming. On the other hand, RuBee tags have limited power and computing. Therefore, in this paper choice cookie for AAA function of RuBee tags.
Throughput capacity verification of automated parking systems
Authors: Marcelo Zottolo, Kathryn Peacock, Eric Lammers, Edward Williams
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

This presentation discusses modeling challenges, approach, and findings for the throughput capacity verification of a parking system. This system consists of a totally automated four-story parking structure located next to a train station. Demand variations through the day for parking and retrieving cars are verified using simulation and equipment constraints are identified.
The role of social presence in learner-centered communicative language learning using synchronous computer-mediated communication: Experimental study
Authors: Masanori Yamada
Venue: Computers Education (2009)

This study aimed to clarify the relationship between media, learners' perception of social presence, and output in communicative learning using synchronous computer-mediated communication (SCMC). In this study, we developed four types of SCMC: videoconferencing (image and voice), audioconferencing (voice but no image), text chat with image (image but no voice), and plain text chat (no image and no voice). Each system allows learners to be conscious of and utter a target formulaic expression. I investigated the effect of each system on psychological perception and productive output as well as the relationship between perception and output. The results show that image and voice promote consciousness of natural communication and relief, while a text-mediated system enhances confidence in grammatical accuracy. In order to clarify the relationship between media, affective side, and output, path analysis was conducted using SPSS Amos 7.0. The results indicated that voice communication strongly affects both learners' affective side and output. The existence of a partner's image enhances the consciousness of natural communication, which leads to a number of self-corrections, an aspect of learning performance. However, voice communication has a negative effect on confidence in grammatical accuracy.
Maximizing Your Sales with Microsoft Dynamics CRM, 1st edition
Authors: Edward Kachinske, Timothy Kachinske
Venue:  (2008)

Microsoft Dynamics CRM 4.0 is a fully integrated customer relationship management (CRM) system that gives busy sales professionals the capability to easily create and maintain a clear view of customers from first contact through purchase and post-sales. If you're one of these busy sales professionals, you need an easy reference tool to maximize your use of Microsoft Dynamics CRM 4.0 's varied feature set. Maximizing Your Sales with Microsoft Dynamics CRM 4.0 is that tool. This book explains, in concise, easy-to-understand language, how to get the most out of this revolutionary CRM software. Topics like working with contacts and accounts, managing opportunities and schedules, writing letters, sending e-mails, running reports and more are explored in-depth. This book also covers some administrative tasks geared toward IT professionals looking to set up and configure preferences for their Microsoft Dynamics CRM 4.0 users. With this quick, to-the-point resource, you won't just be up and running in Microsoft Dynamics CRM ; you'll be an expert!
The Unemployment Rate Forecast Model Basing on BP Neural Network
Authors: Guangming Wang, Xiangna Zheng
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

Unemployment is a major problem in China at the present time, it is also a critical factor relative with the development of society. For this reason , predicting unemployment rate as a method of economic and social studies is being paid more and more attention. A accurate predicted outcome is significant for the Government to formulate and promulgate the relative policies. In this paper, according to a set of indicators suggested by experts, a unemployment rate forecast model is constructed. Before the data is inputted into the back-propagation neural network (BPNN), through using principal component analysis (PCA) method to decrease the dimension of the data, it can diminish the scale of BP neural network and then improve the network’s generalization capability. At last, correlation analysis is adopted to check the quality of the training outcome of BP neural network. The result shows, this prediction model has good accuracy and applicability.
Sustaining the growth and vitality of the M&S discipline
Authors: Levent Yilmaz, Paul Davis, Paul A. Fishwick, Xiaolin Hu, John A. Miller, Maria Hybinette, Tuncer I. Ören, Paul Reynolds, Hessam Sarjoughian, Andreas Tolk
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

The aim of this panel session is to promote discussion on emergent challenges and the need for advancements in the theory, methodology, applications, education in M&S. The changing landscape in science and engineering (e.g., industrial and defense application, medicine, predictive homeland security, energy and environment) introduces new types of problems and challenges into the M&S domain. In light of these emergent needs how can M&S stay relevant as new critical fields such as global climate change mitigation, energy restructuring, genetic engineering impacts on society and universal health care emerge and come into prominence? Surely the systems point of view and the tools that M&S brings to the table are key to these new directions. So, what are the critical issues and challenges facing M&S community in the face of change and need for rapid discovery?
Improving process flexibility through products assignment with bill of material constraints
Authors: Ping He, Xiaoyan Xu
Venue: Robotics and Computer-Integrated Manufacturing (2009)

This paper investigates the effect of operational decisions on improving process flexibility of a flexible manufacturing system, which consists of multiple machine lines. The manufacturing system produces different types of products, whose structures are described by their bills of material (BOMs). When BOM constraints of products are considered, we observe that process flexibility of the flexible manufacturing system depends not only on the structure of each machine line, but also on the assignment decisions of products to machine lines. On the basis of the analysis of a measure for process flexibility with BOM constraints, we develop products assignment models to improve process flexibility of a flexible manufacturing system, which minimize the total demand shortfall of products in the system through assigning products to machine lines. Computational experiments verify the effectiveness of the proposed models on improving process flexibility of a manufacturing system, and sensitivity analyses show performance robustness of our methods.
On the evaluation of reference models for software engineering practice
Authors: Balbir S. Barn
Venue: Proceedings of the 2nd India software engineering conference (2009)

This paper argues that conceptual models and more specifically reference models play a key role in the specification and design of information systems. However, an effective evaluation strategy of such models is a relatively immature field. The paper presents the key challenges for this evaluation activity and articulates an approach for understanding how to evaluate models based on the information and cognitive theories of structuralism and conversation theory. An example of a reference model developed for the Higher Education domain is used as a case study to illustrate how the approach may be applied.
Development of a Dual-robot System for Parametric Surfaces Polishing
Authors: Fengyun Lin, Xiaodong Wang, Fengbo Lin
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

This paper presents the development and the implementation of a dual-robot coordination system for the parametric surfaces polishing. First, a robot kinematic model is discussed. Then, An adaptive tool path generation algorithm for parametric surfaces is proposed, the CL data consist of positions and orientations of the cutter is also calculated from the CC path. Finally, the concepts of the dual-robot configurations, postprocessing, and off-line robot path generation are presented. The results of polishing experiments show that the proposed dual-robot system is flexible and efficient for parametric surface polishing.
Electronic governance in post-conflict countries
Authors: Young-Sik Kim, Saleem Zoughbi
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

Countries experiencing unstable security situations or fragile polity can also benefit significantly from e-governance. This is evident from the major role that Information and Communication Technology (ICT) has played in rebuilding post-conflict states. The panel argues that fragility and huge developmental challenges should not impede innovations in the area of ICT which could in fact accelerate development and reconstruction efforts. Therefore, we contend that no matter how volatile a country is ICT should not be viewed as a luxury. On the contrary, ICT-related development would be even more pertinent to societies in turmoil, war-torn areas, and in countries experiencing hardships of existence, civil unrest political strife and lack of democracy. The panel will discuss the role that electronic governance in the rebuilding or reconstruction efforts in post-conflict states, particularly in the area of strengthening the governance system, rebuilding citizens' trust and enabling national reconciliation -- through better interaction and dialog between different stakeholders and the government. In particular, it will also discuss how traditional approach to e-governance can be customized to better support structural programs that are part of state building, in view of expected prevailing austerity measures in the area of resource allocation.