ppxscal/embedding_network huggingface dataset:
Clustering via random walk hitting time on directed graphs
Authors: Mo Chen, Jianzhuang Liu, Xiaoou Tang
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike traditional graph based clustering methods, we do not explicitly calculate the pairwise similarities between points. Instead, we form a transition matrix of Markov random walk on a directed graph directly from the data. Our algorithm constructs the probabilistic relations of dependence between local sample pairs by studying the local distributions of the data. Such dependence relations are asymmetric, which is a more general measure of pairwise relations than the similarity measures in traditional undirected graph based methods in that it considers both the local density and geometry of the data. The probabilistic relations of the data naturally result in a transition matrix of Markov random walk. Based on the random walk viewpoint, we compute the expected hitting time for all sample pairs, which explores the global information of the structure of the underlying directed graph. An asymmetric measure based clustering algorithm, called K-destinations, is proposed for partitioning the nodes of the directed graph into disjoint sets. By utilizing the local distribution information of the data and the global structure information of the directed graph, our method is able to conquer some limitations of traditional pairwise similarity based methods. Experimental results are provided to validate the effectiveness of the proposed approach.
ERP Implementation Process Analysis Based on the Key Success Factors
Authors: Zhang Yanhong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Enterprise Resource Planning (ERP) is an amalgamation of a company's information systems designed to bind more closely a variety of company functions including human resources, inventories and financials while simultaneously linking the company to customers and vendors.This thesis is based on the theory of product life cycle, and the process of ERP is divided into four phase: planning, implementation, stabilization and improvement. Critical success factors in each phase are identified by paper research, case study and investigation. An ERP implementation process model based on the critical Success factors (CSFs) is proposed in the paper.The thesis analyzes the global planning, stages and business process rebuilding in the process of QIHE pharmaceutical's ERP. Improvement on management and financing before and after ERP implementation are contrasted and we come to the following conclusions. (1) The CSFs in the planning phase is comprehensive investigation and evaluation. (2) The CSFs in the implementation phase is effective project management team. (3) The CSFs in the stabilization phase is appropriate information management system. (4) The CSFs in the improvement phase is change on demand and continue to innovate. (5) The CSFs throughout the product life cycle is business process rebuilding.
Groupware Accessibility for Persons with Disabilities
Authors: John G. Schoeberlein, Yuanqiong (Kathy) Wang
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

The accessibility issues of Groupware applications prevent visually impaired and other persons with disabilities access to these highly graphical interfaces. To address the accessibility issues persons with disabilities have with Groupware, a recent literature review on Groupware accessibility was performed. This paper reviews recent research to identify the accessibility issues; the input devices and output forms utilized to improve accessibility; and, the proposed solutions for Groupware accessibility. The conclusion is that encapsulating or overlaying the Groupware interface with an accessible auditory interface was a common solution to accessibility. Future research is needed in the following areas: guidelines for accessibility; identifying accessibility issues that users with disabilities may face; promoting awareness of the accessibility issues; evaluating groupware accessibility; design of accessible auditory interfaces; system/software support for persons with disabilities working in isolation; support for alternative input and output devices for persons with disabilities.
Measurement of Depth Attention of Driver in Frontal Scene
Authors: Mamiko Fukuoka, Shun'Ichi Doi, Takahiko Kimura, Toshiaki Miura
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

Safety driving has been maintained by suitable watching for frontal scene. The delay of reaction has been found to be the major cause of vehicle accidents. It is the purpose of this paper to investigate depth attention characteristic of drivers when drivers are in the traffic environment by the use of a semi-realistic setting a three-dimension (3-D) attention measurement system. The experiments were conducted in order to clarify the effect of the individual characteristic of driver and traffic environment on the characteristic of depth attention by studying various aspects of the effect of aging, illuminance and display color on characteristic of driver's depth attention from three elements of traffic.
Wearable augmented reality system using gaze interaction
Authors: Hyung Min Park, Seok Han Lee, Jong Soo Choi
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Undisturbed interaction is essential to provide immersive AR environments. There have been a lot of approaches to interact with VEs (virtual environments) so far, especially in hand metaphor. When the user’s hands are being used for hand-based work such as maintenance and repair, necessity of alternative interaction technique has arisen. In recent research, hands-free gaze information is adopted to AR to perform original actions in concurrence with interaction. [3, 4]. There has been little progress on that research, still at a pilot study in a laboratory setting. In this paper, we introduce such a simple WARS(wearable augmented reality system) equipped with an HMD, scene camera, eye tracker. We propose ‘Aging’ technique improving traditional dwell-time selection, demonstrate AR gallery — dynamic exhibition space with wearable system.
Security Analysis on Privacy-Secure Image Trading Framework Using Blind Watermarking
Authors: Mitsuo Okada, Yasuo Okabe, Tetsutaro Uehara
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

We propose and evaluate a privacy-secure image trading framework using blind fingerprinting technique which embeds a user ID using watermark technique. The framework provides a privacy-secure trading even though there is no confidential relation between a content provider and a user. In a conventional fingerprinting scheme, a content provider offers a user ID embedded image to a user in order to trace a pirated piece and an illegal user when an image is pirated.In spite the fact that privacy protection becomes an important issue along with augmentation of digital content trading,it has not been well considered in a conventional fingerprinting scheme. Some blind fingerprinting techniques satisfy privacy protection by concealing user information using cryptography. Semi-blind fingerprinting is another type of blind technique that is proposed with a concept of blinding information within feasible processing cost. Feasibility is satisfied by avoiding use of cryptography which causes heavy overhead in computation. In our proposed image trading framework, we use semi-blind technique which is well optimized for our framework. In order to establish a robust framework, we carry out security analysis by specifying various kinds of incidents and solutions.
Applied GM(0,N) Model in the Study of Influence Factor in Preterm Neonates
Authors: Mei-Li You, Hsiao-Ying Chen, Shu-Peng Liu, Kun-Li Wen
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

The aim of this study is based on GM(0,N) model to evaluate the biochemical factors in preterm neonates, include growth hormone (GH), insulin-like growth factors (IGFs), IGF-binding proteins (IGFBPs) and leptin, the proteins known to be involved in the regulation of growth. And find the influence for each factor corresponding with the body mass index(BMI) and postnatal growth(PI). First, we use the measurement data from blood sample, which collected from 55 preterm neonates for four continuous weeks as our original data. Second, The GM(0,N) model in grey system theory is applied as our mathematics model, to rank the influence from our original data, and we also create a toolbox, which via Matlab to help our calculation. After the results are found, we find that the results are quite matching with the traditional method. Hence, we not only can get the rank of influence in preterm neonates by grey system method, but also provide the new direction in this kind of research.
The Collision Detection Algorithm Based on the Combination of Two-Dimensional and Dynamic Octree
Authors: Zou Chengming, Tang Zhiyong
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The paper proposed a new algorithm that combination of two-dimensional plane collision detection and dynamic octree. It has good effect on reducing calculation scale and complexity, and the collision detection efficiency has been greatly improved.
The Research and Practice of Computer Teaching at Independent Colleges for Students at Different Levels
Authors: Duanyang Zhao, Qingxiang Xu, Wuheng Zuo
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Computer Science at independent colleges is a popular subject and attracts many students at different levels. This brings teaching difficulties and challenges the traditional teaching methods. This paper describes a variety of experiences in computer teaching at independent colleges. They include different levels of constructing curricula, teaching plan and practicing projects based on the characteristics of Computer Science. Students of various abilities have shown obviously progress in studying knowledge, programming and project practice.
Sausalito: An Application Servers for RESTful Services in the Cloud
Authors: Matthias Brantner
Venue: Proceedings of the 13th East European Conference on Advances in Databases and Information Systems (2009)

This talk argues that Web Server, Application Server, and Database System should be bundled into a single system for development and deployment of Web-based applications in the cloud. Furthermore, this talk argues that the whole system should serve REST services and should behave like a REST service itself. The design and implementation of Sausalito is presented which is a combined Web, Application, and Database server that operates on top of Amazon's cloud offerings. Furthermore, a demo of several example applications is given that show the advantages of the approach taken by Sausalito (see http://sausalito.28msec.com/). 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
SemEval-2010 task 10: linking events and their participants in discourse
Authors: Josef Ruppenhofer, Caroline Sporleder, Roser Morante, Collin Baker, Martha Palmer
Venue: Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (2009)

In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries. Specifically, the task aims at linking locally uninstantiated roles to their co-referents in the wider discourse context (if such co-referents exist). This task is potentially beneficial for a number of NLP applications and we hope that it will not only attract researchers from the semantic role labelling community but also from co-reference resolution and information extraction.
A Digital Matched Filter Acquisition Scheme in UWB
Authors: Xianjun Zhou, Qian Zhang, Danwen Wu, Qiulin Sheng
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In this paper, a coarse synchronization scheme is proposed through introducing a digital matched filter combining diversity according to the same time hopping (TH) as the expected user in ultra wideband (UWB) communications. By analyzing the signal characteristic, the filter window parameters are set to utilize sufficient energy from the receiving signal in a multipath environment. The receiver can spend about one bit duration in achieving acquisition, which indicates the receiver presented here can efficiently improve the acquisition performance.
Technical communique: Global stability analysis scheme for a class of nonlinear time delay systems
Authors: Joon-Young Choi
Venue: Automatica (Journal of IFAC) (2009)

We consider a class of nonlinear time delay systems created by generalizing the model for FAST TCP, an Internet congestion control algorithm. We achieve a time delay independent sufficient condition for the global asymptotic stability of the class of systems. The sufficient condition is verified by constructing two sequences that represent the lower and upper bound variations of the system trajectory in time, and showing that the two sequences converge to the equilibrium point of the system. The simulation results exemplify that the sufficient condition is valid for global asymptotic stability, and that the sufficient condition is a close approximation to the unknown necessary and sufficient condition for global asymptotic stability.
Adaptive management of air traffic flow: a multiagent coordination approach
Authors: Kagan Tumer, Adrian Agogino
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

This paper summarizes recent advances in the application of multiagent coordination algorithms to air traffic flow management. Indeed, air traffic flow management is one of the fundamental challenges facing the Federal Aviation Administration (FAA) today. This problem is particularly complex as it requires the integration and/or coordination of many factors including: new data (e.g., changing weather info), potentially conflicting priorities (e.g., different airlines), limited resources (e.g., air traffic controllers) and very heavy traffic volume (e.g., over 40,000 flights over the US airspace). The multiagent approach assigns an agent to a navigational fix (a specific location in 2D space) and uses three separate actions to control the airspace: setting the separation between airplanes, setting ground holds that delay aircraft departures and rerouting aircraft. Agents then use reinforcement learning to learn the best set of actions. Results based on FACET (a commercial simulator) show that agents receiving personalized rewards reduce congestion by up to 80% over agents receiving a global reward and by up to 85% over a current industry approach (Monte Carlo estimation). These results show that with proper selection of agents, their actions and their reward structures, multiagent coordination algorithms can be successfully applied to complex real world domains.
Application of DSP in Sensorless PMSM Control System
Authors: Qiu-xia Lu, Xue-ren Dong
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

At present, the AC servo system which uses the PMSM as the control object is widely used in such areas as the CNC machine tools, industrial robots and space. No sensor-based servo system is becoming the development trend of high-performance permanent magnet synchronous motor control system. The paper introduced a design of sensorless PMSM (Permanent Magnet Synchronous Motor) control system based on TMS320F2812. The performance characteristic of TMS320F2812 was expatiated, and it’s function in the sensorless PMSM control system was given in the paper. We discussed the composition of hardware and the design of software. The system used of the intelligent control strategies such as SVPWM (Space Vector Pulse Width Modulation) and SMO(Sliding Mode Observer), and made full use of the DSP’s high-speed computing power and abundance of on-chip resources, to achieve system real-time control, make the system having a good dynamic quality and steady performance. The processor is suitable in the field of motor control in the extreme, and has a wide range of practical value.
A New Multicast Duplicating Method
Authors: Huang Wanwei, Wang Binqiang, Li Dehua, Liu Qiang
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In order to saving storage resource, a method of multicast duplicating based on ping pang switching mechanism is presented, switching the output role with the backup role of storage queue successively, guaranteeing the seamless switch of successive duplicate processes of the same packet, as well as the processes between two different successive packets, improving the efficiency of duplicating multicast and speed of outputting packet. Offering the same service performance, comparing with the method of packet round robin of multi-queues, the simulation proved the better feasibility of saving buffer resource.
Representation and Reflexivity in ICT for Development (Telecentre) Research
Authors: Savita Bailur
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

The author argues there is insufficient discussion of representation (the problems of showing the realities of the lived experiences of the observed settings) and reflexivity (the relationship between knowledge and the ways whereby knowledge is produced) in ICTD literature, particularly regarding telecentre users and non-users. It first reviews six papers from 2007-8 in Information Technologies and International Development and find that the process of research methods and theorizing from findings could be analyzed in more detail. It then shares how deconstructing the research process affected findings in Our Voices telecentre, the author's own case study.
Condition Monitoring for Bearing Using Envelope Spectrum of EEMD
Authors: Shufeng Ai, Hui Li, Yuping Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In order to overcome the shortcomings of the traditional envelope analysis in which manually specifying a resonant frequency band is required, a novel approach based on the ensemble empirical mode decomposition (EEMD) and envelope spectrum is proposed for detecting Localized defects in rolling bearings. This approach can extract the characteristic frequencies related to the defect from the resonant frequency band of the vibration signal. The techniques are demonstrated by the experiments on a machine tool with a ball bearing under simulated crack on the inner race or outer race. Experimental results show that the proposed approach is effective and reliable in detecting Localized defects of bearings.
A Two-Tire Index Structure for Approximate String Matching with Block Moves
Authors: Bin Wang, Long Xie, Guoren Wang
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

Many applications need to solve the problem of approximate string matching with block moves. It is an NP-Complete problem to compute block edit distance between two strings. Our goal is to filter non-candidate strings as much as possible. Based on the two matured filter strategies, frequency distance and positional q-gram, we propose a two-tire index structure to make the use of the two filters more efficiently. We give a full specification of the index structure, including how to choose character order to achieve a better filterability and how to balance number of strings in different clusters. We present our experiments on real data sets to evaluate our technique and show the proposed index structure can provide a good performance.
The ACM Java libraries
Authors: Andrew Mertz, William Slough, Nancy Van Cleave
Venue: Journal of Computing Sciences in Colleges (2009)

The ACM established the Java Task Force (JTF) to address problems arising from the complexity and evolving nature of Java when used in introductory programming courses. The work of the JTF committee resulted in a collection of Java-based resources which simplifies the teaching and learning of computer science.
Communication-Efficient Classification in P2P Networks
Authors: Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven Hoi
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Distributed classification aims to learn with accuracy comparable to that of centralized approaches but at far lesser communication and computation costs. By nature, P2P networks provide an excellent environment for performing a distributed classification task due to the high availability of shared resources, such as bandwidth, storage space, and rich computational power. However, learning in P2P networks is faced with many challenging issues; viz., scalability, peer dynamism, asynchronism and fault-tolerance. In this paper, we address these challenges by presenting CEMPaR--a communication-efficient framework based on cascading SVMs that exploits the characteristics of DHT-based lookup protocols. CEMPaR is designed to be robust to parameters such as the number of peers in the network, imbalanced data sizes and class distribution while incurring extremely low communication cost yet maintaining accuracy comparable to the best-in-the-class approaches. Feasibility and effectiveness of our approach are demonstrated with extensive experimental studies on real and synthetic datasets.
Color Image Segmentation in a Quaternion Framework
Authors: Özlem N. Subakan, Baba C. Vemuri
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

In this paper, we present a feature/detail preserving color image segmentation framework using Hamiltonian quaternions. First, we introduce a novel Quaternionic Gabor Filter (QGF) which can combine the color channels and the orientations in the image plane. Using the QGFs, we extract the local orientation information in the color images. Second, in order to model this derived orientation information, we propose a continuous mixture of appropriate hypercomplex exponential basis functions. We derive a closed form solution for this continuous mixture model. This analytic solution is in the form of a spatially varying kernel which, when convolved with the signed distance function of an evolving contour (placed in the color image), yields a detail preserving segmentation.