ppxscal/embedding_network huggingface dataset:
CL-HTTP: an open-source cross-platform environment for web application development and deployment
Authors: John Mallery
Venue: Proceedings of the 2007 International Lisp Conference (2007)

Since it was first implemented in 1994, CL-HTTP has continued to mature as a production Web server and gain new features. This talk will overview the major components, including the server, mark up generation tools, client, caching proxy, Web walker, as well as the bundled tools. It will also describe new capabilities, including SSL (server, client, proxy, Web walker) and generation of HTML 4.0.1 as well as XHTML 1.0. The various Common Lisp ports of CL-HTTP will be reviewed with special attention to the production quality implementations. Some history and future directions will also be discussed. See http://www.cl-http.org:8001/ for further details.
Modelling workflows and collaboration in virtual supply chains with nested modular Petri nets
Authors: Qianli Xu, Xiao You, Lianfeng (Linda) Zhang, Jianxin (Roger) Jiao
Venue: International Journal of Computer Applications in Technology (2009)

Virtual supply chains (VSCs) focus on the development of supply chain network infrastructure in relation to the multitude of product offerings. Recognising the importance of VSCs in pursuing a global manufacturing strategy, many researchers have dedicated themselves to developing VSC models. However, existing VSC modelling formalisms are inadequate to capture the multiple workflows, thus enabling collaboration among supply chain partners. In response to the importance of VSC model development and the limitations of existing VSC models, this study proposes a modelling framework and a new formalism of nested modular Petri nets (NMPNs) to model workflows and collaboration among partners for VSC management. In the framework, an ontology-based semantic model is developed to capture the constituent elements and their relationships. In the NMPN formalism, a number of basic modules are developed as building blocks to design complex supply chains. The behaviours of the supply chain partners and the VSC as a whole are further analysed using various PN analysis techniques. An industrial case of the electric motors is reported to demonstrate the application of the NMPN formalism to develop VSC. It is concluded that the NMPN model facilitates information exchange and collaboration among supply chain partners.
A Blind Watermarking Algorithm Based on Block DCT for Dual Color Images
Authors: Zhang Yong, Lin Li Cai, Li Qi Shen, Jiang Ze Tao
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

A dual color image blind watermarking algorithm is proposed based on block Discrete Cosine Transformation (DCT). Firstly, the original watermark image and the original host image in RGB color space are converted to YCbCr color space, and the block DCT is implemented on their Y, Cb and Cr layer respectively. Secondly, the low frequency coefficients of each quantization sub-block of the watermark image are extracted to encode into a new one dimensional binary sequence, and the watermark sequence is obtained by the operations of spread spectrum and scrambling on the binary sequence, which is embedded into the middle and low frequency coefficients of Y Cb and Cr layer of the original host color image, and a new watermarked image can be generated by reverse DCT and color space transformation. Finally, the watermark can be robustly extracted according to error-correcting bits. The experimental results show that the proposed watermarking scheme is invisible and robust.
Ultra Low-Power Biomedical Signal Processing: An Analog Wavelet Filter Approach for Pacemakers, 1st edition
Authors: Sandro A. P. Haddad, Wouter A. Serdijn
Venue: Analog Circuits And Signal Processing (2009)

Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.
An Evolutionary Trust and Distrust Model
Authors: Isaac Agudo, Carmen Fernández-Gago, Javier Lopez
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

In this paper we propose a trust model, where besides considering trust and distrust, we also consider another parameter that measures the reliability on the stability of trust or distrust. The inclusion of this new parameter will allow us to use trust in a more accurate way. We consider trust is not static but dynamic and trust values can change along time. Thus, we will also take time into account, using it as a parameter of our model. There is very little work done about the inclusion of time as an influence on trust. We will show the applicability of our model in the scenario of the process of reviewing papers for a conference. Sometimes for these kind of processes the Chair of the conference should first find the suitable reviewers. He can make this selection by using our model. Once the reviewers are selected they send out their reviews to the Chair who can also use our model in order to make the final decision about acceptance of papers.
Digital Multimedia, 3rd edition
Authors: Nigel Chapman, Jenny Chapman
Venue:  (2009)

Designed as the foundation text in multimedia, this comprehensive resource covers basic principles of each media type- text, graphics, audio, animation and video- describing their digitization and progressing onto issues that arise when media are combined. This edition includes completely revised and re-written pedagogy which takes account of substantial instructor feedback, as well as market research and development on other Chapman titles. Thereis alsoa web/Flash emphasis and proper coverage of MPEG4 and DVD in line with current technology trends.
Security of Java based AJAX frameworks
Authors: Georg Raffer
Venue:  (2009)

Unfortunately, while AJAX incorporates the best capabilities of both thick-client and thin-client architectures, it is vulnerable to the same attacks that affect both types of applications. Thick-client applications are insecure because they could be decompiled and analyzed by an attacker. The same problem exists with AJAX applications - in fact even more so, because in most cases the attacker does not even need to go to the effort of decompiling the program. Knowing the attack surface and the architectural weakness of a chosen AJAX framework lays the foundation for a software architect to design and develop secure and enterprise-ready AJAX web applications. This paper does not only discuss general vulnerabilities of AJAX-based web applications, but reflects these in a real-world example showing the attack surface for applications built with state-of-the-art AJAX frameworks like JBoss Seam and Google Web Toolkit. The findings of this paper help software architects and developers to get a practical understanding of potential attacks. They are a contribution to increase the security of web applications. 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
Analysis of Cultivated Land Changes' Driving Forces over the Past 50 Years in Shucheng County of Anhui Province
Authors: Zhang Hailin, Zhang Xuesong, Jie Yi, Jing Gaoliao, Yang Yi, Gu Chengjun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

In the paper, based on the statistical data, an empirical study was carried out, the farmland changes’ driving forces over the past 50 years in Shucheng County of Anhui Province are analyzed and two conclusions are drawn. Firstly, the statistical data of Shucheng County show that there are two phases of farmland change. The farmland area had been increasing from 1949 to 1957 and decreasing from 1958 to 2000. Secondly, by the method of Factor Analysis, it is found out that, the natural factors are not the driving forces of the land sue change during nearly past half century and there are four main human factors including agricultural condition & yield, the cultivating structure of foodstuff crop, the cultivating structure of industrial crop and national policy. The linear regression result show total labor, peasant labor, pig raising quantity, the ratio of rice cultivating area to foodstuff cultivating area, total cultivating area, and multi-cropping index are key driving factors of land use change over the past fifty years.
A weakly supervised learning approach for spoken language understanding
Authors: Wei-Lin Wu, Ru-Zhan Lu, Jian-Yong Duan, Hui Liu, Feng Gao, Yu-Quan Chen
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

In this paper, we present a weakly supervised learning approach for spoken language understanding in domain-specific dialogue systems. We model the task of spoken language understanding as a successive classification problem. The first classifier (topic classifier) is used to identify the topic of an input utterance. With the restriction of the recognized target topic, the second classifier (semantic classifier) is trained to extract the corresponding slot-value pairs. It is mainly data-driven and requires only minimally annotated corpus for training whilst retaining the understanding robustness and deepness for spoken language. Most importantly, it allows the employment of weakly supervised strategies for training the two classifiers. We first apply the training strategy of combining active learning and self-training (Tur et al., 2005) for topic classifier. Also, we propose a practical method for bootstrapping the topic-dependent semantic classifiers from a small amount of labeled sentences. Experiments have been conducted in the context of Chinese public transportation information inquiry domain. The experimental results demonstrate the effectiveness of our proposed SLU framework and show the possibility to reduce human labeling efforts significantly.
Evaluation of Body Sway and the Relevant Dynamics While Viewing a Three-Dimensional Movie on a Head-Mounted Display by Using Stabilograms
Authors: Kazuhiro Fujikake, Masaru Miyao, Tomoki Watanabe, Satoshi Hasegawa, Masako Omori, Hiroki Takada
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

The viewers of three-dimensional (3D) movies often complain of blurring and bleeding. They sometimes experience visually induced motion sickness (VIMS). In this study, the effect of VIMS on body sway was examined using stabilograms. We measured the sway in the center of gravity before and during the exposure to images projected on a head-mounted display (HMD). While viewing, the subjects were instructed to remain in the Romberg posture for the first 60 seconds and maintain a wide stance (midline of the heels, 20 cm apart) for the next 60 seconds. Employing Double-Wayland algorithm, we measured the degree of determinism in the dynamics of the sway in the center of gravity with respect to viewing 3D movies on HMD. As a result, the dynamics of the sway during and before the exposure was considered to be stochastic. Thus, exposure to 3D movies would not change the dynamics to a deterministic one.
On Feature Selection, Bias-Variance, and Bagging
Authors: M. Arthur Munson, Rich Caruana
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selection progresses indicates that the most accurate feature set corresponds to the best bias-variance trade-off point for the learning algorithm. Often, this is not the point separating relevant from irrelevant features, but where increasing variance outweighs the gains from adding more (weakly) relevant features. In other words, feature selection can be viewed as a variance reduction method that trades off the benefits of decreased variance (from the reduction in dimensionality) with the harm of increased bias (from eliminating some of the relevant features). If a variance reduction method like bagging is used, more (weakly) relevant features can be exploited and the most accurate feature set is usually larger. In many cases, the best performance is obtained by using all available features.
Workload-Based Assessment of a User Interface Design
Authors: Patrice D. Tremoulet, Patrick L. Craven, Susan Harkness Regli, Saki Wilcox, Joyce Barton, Kathleeen Stibler, Adam Gifford, Marianne Clark
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

Lockheed Martin Advanced Technology Laboratories (LM ATL) has designed and developed a tool called Sensor-based Mental Assessment in Real Time (SMART), which uses physiological data to help evaluate human-computer interfaces (HCI). SMART non-intrusively collects and displays objective measures of cognitive workload, visual engagement, distraction and drowsiness while participants interact with HCIs or HCI prototypes. This paper describes a concept validation experiment (CVE) conducted to 1) demonstrate the feasibility of using SMART during user interface evaluations and 2) validate the EEG-based cognitive workload values derived from the SMART system by comparing them to three other measures of cognitive workload (NASA TLX, expert ratings, and expected workload values generated with Design Interactive's Multimodal Information Decision Support tool). Results from the CVE indicate that SMART represents a valuable tool that provides human factors engineers with a non-invasive, non-interrupting, objective method of evaluating cognitive workload.
A (4n - 4)-Bit Representation of a Rectangular Drawing or Floorplan
Authors: Toshihiko Takahashi, Ryo Fujimaki, Youhei Inoue
Venue: Proceedings of the 15th Annual International Conference on Computing and Combinatorics (2009)

A subdivision of a rectangle into rectangular faces with horizontal and vertical line segments is called a rectangular drawing or floorplan. Yamanaka and Nakano published a (5n - 5)-bit representation of a rectangular drawing, where n is the number of inner rectangles. In this paper, a (4n -4)-bit representation of rectangular drawing is introduced. Moreover, this representation gives an alternative proof that the number of rectangles with n rectangles R(n) ≤ 13.5 n - 1.
Overall Inverse Kinematics Analysis of Parallel Robot Leg for Rescue Based on Rodrigues Parameters
Authors: Gang Cheng, Shi-rong Ge, Ai-jun Li, Yong-jian Wan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

A new method to describe the position-stance of parallel robot leg was proposed based on the Rodrigues theory. Comparing with others methods, the kinematic model with Rodrigues parameters has the advantages including least computational parameters, no trigonometric function calculation and convenient real-time control. The model of the inverse kinematics was established and the inverse solutions of the position-stance were obtained by analyzing the topologic structure of the parallel robot leg with 3-RPS limb. According to the vectors of the manipulator, the velocity and acceleration models of moving platform, limbs and end-effector were deduced. By comparing with the normal walking gait of a human subject, the end-point trajectory of the parallel robot leg was better programmed. The experiment results showed the structure characteristics of the parallel robot leg and validated the model of the inverse kinematics. It was concluded that the parallel robot leg can fulfil the kinematic demand in the unconfigurable environment.
Studies of Comprehensive Auto-Indexing System Based on Key Words' Subject Degree
Authors: Liu Hua
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Key words are expressions that indicate and express the subject concept of a text, the major property of key words is to denote subject. Based on the domainal inhomogeneity and critical region of key words, subject degree is brought up and calculated by statistical model to cue text’ subject concept. Based on key words and its’ subject degree, constructed a comprehensive auto-indexing system, which includes text categorization, key words indexing and text summarization.
Semi-supervised ensemble ranking
Authors: Steven C. H. Hoi, Rong Jin
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance by combining the outputs from multiple ranking algorithms. Many ensemble ranking approaches employ supervised learning techniques to learn appropriate weights for combining multiple rankers. The main shortcoming with these approaches is that the learned weights for ranking algorithms are query independent. This is suboptimal since a ranking algorithm could perform well for certain queries but poorly for others. In this paper, we propose a novel semi-supervised ensemble ranking (SSER) algorithm that learns query-dependent weights when combining multiple rankers in document retrieval. The proposed SSER algorithm is formulated as an SVM-like quadratic program (QP), and therefore can be solved efficiently by taking advantage of optimization techniques that were widely used in existing SVM solvers. We evaluated the proposed technique on a standard document retrieval testbed and observed encouraging results by comparing to a number of state-of-the-art techniques.
Health Forecast for Aircraft Based on Adaptive MVGFM
Authors: Jianguo Cui, Desheng Song, Ming Li, Changjun Xu, Peng Shi
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

A new kind of health state forecast method for the aircraft, based on the adaptive multi-variable grey forecast model (MVGFM), is presented in this paper. The advanced acoustic emission (AE) technique is used to monitor the aircraft stabilizer health state and get the AE information. The original AE signals are decomposed with the wavelet transform, and the maximum of absolute value (MAV), average of absolute value (AAV), standard deviation (SD) and singular value (SV) of the fourth layer wavelet decomposition coefficients are respectively extracted to form eigenvectors. Then the adaptive MVGFM(1,n,β) is established with the eigenvectors. The parameter β can be rectified by the errors between the forecast values and the actual ones. So the forecast precision can be adaptively improved. Experiments show that the MVGFM(1,n,β) can forecast the aircraft stabilizer fatigue crack more accurately than the MGM(1,n). It presents a new method for forecasting the health state of aircraft structure components. And the health forecast method is also applied in other complicated structure systems.
Hybrid Techniques for Fast Multicore Simulation
Authors: Manu Shantharam, Padma Raghavan, Mahmut Kandemir
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

One of the challenges in the design of multicore architectures concerns the fast evaluation of hardware design-tradeoffs using simulation techniques. Simulation tools for multicore architectures tend to have long execution times that grow linearly with the number of cores simulated. In this paper, we present two hybrid techniques for fast and accurate multicore simulation. Our first method, the Monte Carlo Co-Simulation (MCCS) scheme, considers application phases, and within each phase, interleaves a Monte Carlo modeling scheme with a traditional simulator, such as Simics. Our second method, the Curve Fitting Based Simulation (CFBS) scheme, is tailored to evaluate the behavior of applications with multiple iterations, such as scientific applications that have consistent cycles per instruction (CPI) behavior within a subroutine over different iterations. In our CFBS method, we represent the CPI profile of a subroutine as a signature using curve fitting and represent the entire application execution as a set of signatures to predict performance metrics. Our results indicate that MCCS can reduce simulation time by as much as a factor of 2.37, with a speedup of 1.77 on average compared to Simics. We also observe that CFBS can reduce simulation time by as much as a factor of 13.6, with a speedup of 6.24 on average. The observed average relative errors in CPI compared to Simics are 32% for MCCS and significantly lower, at 2%, for CFBS.
Player Feedback Evaluation: Indicating Mass Public Potential for Pervasive Games
Authors: Ivo Flammer, Chen Yan, Wolf Ka, August Flammer, Jean-Paul Cheung, Romain Pellerin
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

Player feedback data was collected for the pervasive game "Meet Your Heartbeat Twin", an event-type LBS (Location-Based Service) game including affective computing through the player's live heartbeats. Correlation analysis of the data demonstrates broad client profile for pervasive games, covering age, gender and hobbies. The data also shows that Urban Games are clearly a novel experience; they are not an extension neither from video games, nor from mobile phone casual games. Surprisingly, the online sharing of the player's very personal data, player's location and live heart rate was not perceived as a critical issue at all. As expected, game control is crucial: to have fun, players need some adaptation time for GPS orientation and this even for a very low level complexity of mobile phone usage.
Peer-to-Peer Semantic Wikis
Authors: Hala Skaf-Molli, Charbel Rahhal, Pascal Molli
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Wikis have demonstrated how it is possible to convert a community of strangers into a community of collaborators. Semantic wikis have opened an interesting way to mix web 2.0 advantages with the semantic web approach. P2P wikis have illustrated how wikis can be deployed on P2P wikis and take advantages of its intrinsic qualities: fault-tolerance, scalability and infrastructure cost sharing. In this paper, we present the first P2P semantic wiki that combines advantages of semantic wikis and P2P wikis. Building a P2P semantic wiki is challenging. It requires building an optimistic replication algorithm that is compatible with P2P constraints, ensures an acceptable level of consistency and generic enough to handle semantic wiki pages. The contribution of this paper is the definition of a clear model for building P2P semantic wikis. We define the data model, operations on this model, intentions of these operations, algorithms to ensure consistency and finally we implement the SWOOKI prototype based on these algorithms.