ppxscal/embedding_network huggingface dataset:
Studies on the Bioremediation Actions of 4-Chloroaniline on Wetland Soil
Authors: Cheng Ding, Zhicheng Zhang, Chunsheng Yang, Cheng Yao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Chloroanilines are toxic substances listed as typical pollutants of the environment. The photolysis in sunlight is a possible route for it elimination. The photolysis rate constant of p-chloroaniline (p-CA) in pure water and in wetland soil (C) was about 0.1059d-1 and 0.00298d-1 with a half-life was 6.55d and 232.58d. Degradation rate coefficient of p-CA in sterilized (A) and Non-sterilized (B) was0.008437 and 0.00346, degradation half-life was 830.39d and 200.32d. respectiverly, indicating that microorganisms would accelerate the the degradation of p-CA.A bacterium capable of growing with p-CA as sole carbon and energy sources was isolated from rhizosphere soil in phragmites wetland by enrichment culture method. The degradation temperature and pH value for degradation were about 30℃ and pH7.0, for 4d in minimal medium culture fluids at vaccination of 10%.
Decision support and profit prediction for online auction sellers
Authors: Chia-Hui Chang, Jun-Hong Lin
Venue: Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (2009)

Online auction has become a very popular e-commerce transaction type. The immense business opportunities attract a lot of individuals as well as online stores. With more sellers engaged in, the competition between sellers is more intense. For sellers, how to maximize their profit by proper auction setting becomes the critical success factor in online auction market. In this paper, we provide a selling recommendation service which can predict the expected profit before listing and, based on the expected profit, recommend the seller whether to use current auction setting or not. We collect data from five kinds of digital camera from eBay and apply machine learning algorithm to predict sold probability and end-price. In order to get genuine sold probability and end-price prediction (even for unsold items), we apply probability calibration and sample selection bias correction when building the prediction models. To decide whether to list a commodity or not, we apply cost-sensitive analysis to decide whether to use current auction setting. We compare the profits using three different approaches: probability-based, end-price based, and our expected-profit based recommendation service. The experiment result shows that our recommendation service based on expected profit gives higher earnings and probability is a key factor that maintains the profit gain when ultra cost incurs for unsold items due to stocking.
A Framework for Dependency Evaluation of the Agent Oriented Methodologies Work Flows
Authors: Tannaz Alinaghi, Camellia Ghoroghi, Ahmad Saborui, Reza Basseda
Venue: Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering (2009)

Agent oriented methodologies have become one of the most important issues of software development. Several methodologies have been proposed to guide developers through various stages of agent based system development. Deciding which methodology to be selected in a specific case is a critical problem. This paper presents a quantitative approach to evaluate complexity of agent oriented methodologies due to dependency of stages and phases. This framework focuses on the lifecycle of a methodology and relations between its stages. The proposed models of the methodology and overall process of its lifecycle is discussed thoughtfully and the complexity of the entire methodology lifecycle is calculated. This method of evaluation will be applied to several agent oriented methodologies and finally the comparison among complexity of the proposed methodologies will be performed.
A self-organising mixture autoregressive network for FX time series modelling and prediction
Authors: He Ni, Hujun Yin
Venue: Neurocomputing (2009)

Nowadays a great deal of effort has been made in order to gain advantages in foreign exchange (FX) rates predictions. However, most existing techniques seldom excel the simple random walk model in practical applications. This paper describes a self-organising network formed on the basis of a mixture of adaptive autoregressive models. The proposed network, termed self-organising mixture autoregressive (SOMAR) model, can be used to describe and model nonstationary, nonlinear time series by means of a number of underlying local regressive models. An autocorrelation coefficient-based measure is proposed as the similarity measure for assigning input samples to the underlying local models. Experiments on both benchmark time series and several FX rates have been conducted. The results show that the proposed method consistently outperforms other local time series modelling techniques on a range of performance measures including the mean-square-error, correct trend predication percentage, accumulated profit and model variance.
An Improved Approach on B Tree Management for NAND Flash-Memory Storage Systems
Authors: Leijie Zeng, Yanyuan Zhang, Xiaonan Zhao
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

With the significant growth of the markets for consumer electronics and various embedded systems, flash memory is now an economic solution for storage systems design. Tree index structures have been adopted over flash-memory and the system performance can be significantly improved.But with the very distinctive characteristics of flash-memory, the overhead of intensive byte-wise operations are caused by record inserting, record deleting, and tree reorganizing. Such actions result in a large number of data copyings (i.e., the copying of unchanged data and tree pointers in related nodes). In this paper, we introduced segment, segment summary and segment Mapping, and they can reduce the possibility of related node update problem andimprove the system performance.
Research of Rendering Anisotropic Volume Data Directly Based on the Shear-Warp Algorithm
Authors: Li Guo, Xie Mei, Peng Gang, Wu Bingrong
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The traditional shear-warp rendering algorithm is based on isotropic volume data, which is often generated from anisotropic data by inter-slice interpolation. This paper presents a new method that renders the anisotropic volume data directly based on the shear-warp algorithm, in the condition of that there is no big difference between the slice spacing and the pixel spacing within the slice. In this new method, the coordinates are transformed from model to world according to the real sampling spacing of the original data. Finally, the constructed anisotropic volume data in the world coordinate system has the same proportion of size with the real object. The view matrix is described as the coordinate transformation matrix from world, not model, to view. Using this new method to render the anisotropic volume data directly, will not only make the volume data for rendering accurate and decrease the preprocessing time, but also meet both the requirements of image quality and rendering speed by adjusting the resampling rate during the rendering process.
A Coupling Model of Electric Power Grid Based on Rough Sets and Radical Basis Function
Authors: Xiaoquan Li, Jie Wang, Peiyuan Cheng
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

In order to solve the problem of complex system’s fault diagnosis, using a method of attribute reduction, a new type of model was established which combined rough sets and radial basis function net closely in this paper. The model mixed their advantage fully. Take a common power grid for example and compare the computing results with a method in one reference. The results illustrate that the model reduces subject factors in signal recognition, improves network’s structure and its recognizing effects are more obvious and its classifying ability is more strong than traditional method which combined rough sets and BP net, and also, it has very wide foreground.
What Every CEO Needs to Know to Manage a Public Crisis: Reed Seminar with gnes Huff Viewable on Your Computer or iPod
Authors: Agnes Huff
Venue:  (2009)

In What Every CEO Needs to Know to Manage a Public Crisis, crisis management expert Agnes Huff shares her extensive knowledge on how to manage a public crisis. The seminar is a time efficient way for you to either quickly formulate a strategy for dealing with a crisis, or putting a procedure in place should such a situation occur. Viewable on any computer or iPod, the seminar is in PowerPoint with 110 minutes of audio narration (and shipped to you on CD). The seminar focuses on: -Steps to assess risk and exposure -How to develop a crisis strategy and plan -How to communicate with the media in a crisis -Ways to avoid or minimize a crisis -What every CEO must know Take 110 minutes to prepare yourself and key executive members of your company should a public crisis situation occur. About the Seminar Author: Agnes has over 20 years experience in public relations, marketing communications, crisis management and strategic counseling. In 1995, she founded Agnes Huff Communications Group, LLC, a full-service marketing communications firm located in Los Angeles, specializing in integrated communications. The firm is a certified MBE/SBE with the State of California, and the County and City of Los Angeles. As a communications professional, her contacts throughout the print and broadcast media are extensive, garnering unprecedented publicity and awareness for a diverse range of prestigious clients including ABM Industries, British Airways, Los Angeles World Airports, Orthopaedic Hospital, Qantas Airways and United Way. Agnes' clients have appeared on the covers of Fortune and CFO Magazine and have been prominently featured in Forbes, L.A. Times, USA Today, and Wall Street Journal, as well as on ABC, CBS, CNN, and E! Entertainment. 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
Clustering Heterogeneous Web Data using Clustering by Compression. Cluster Validity
Authors: Alexandra Cernian, Dorin Carstoiu, Adriana Olteanu
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

The expansive nature of the Internet produced a vast quantity of unstructured data, compared to our conception of a conventional data base. The application of clustering on the World Wide Web is essential to get structured information from this sea of information. In this paper, we intend to test the results of a new clustering technique – clustering by compression – when applied to heterogeneous sets of data. The clustering by compression procedure is based on a parameter-free, universal, similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pair-wise concatenation). In order to validate the results, we calculate some quality indices. If the values we obtain prove a high quality of the clustering, in the near future we plan to include the clustering by compression technique into a framework for clustering heterogeneous web objects.
Complex systems and learning: empirical research, issues, and "seeing" scientific knowledge with new eyes
Authors: Michael J. Jacobson, Hyo-Jeong So, June Lee, Uri Wilensky, Paolo Blikstein, Pratim Sengupta, Sharona T. Levy, Richard Noss
Venue: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3 (2008)

The purpose of this symposium is to move beyond speculations about how knowledge about complex systems might be important for students to understand to focus on empirical research into the learnability of these ideas. For example, do complex systems ideas represent learning challenges that are qualitatively different than learning other scientific knowledge? What are the differences in pre-conceptions students have about complex systems phenomena and more expert scientific ways of thinking in these areas? What are the profiles of successful and less successful ways of learning about complex systems conceptual perspectives? Can complex systems provide conceptual perspectives for cognitively "seeing" physical and social sciences subjects in new and interconnected ways? It is hoped the papers in this session will provide insights into these questions and other theoretical and research issues in the learning sciences.
The Weak Gap Property in Metric Spaces of Bounded Doubling Dimension
Authors: Michiel Smid
Venue: Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday (2009)

We introduce the weak gap property for directed graphs whose vertex set S is a metric space of size n. We prove that, if the doubling dimension of S is a constant, any directed graph satisfying the weak gap property has O(n) edges and total weight $O( \log n ) \cdot wt({\mathord{\it MST}}(S))$, where $wt({\mathord{\it MST}}(S))$ denotes the weight of a minimum spanning tree of S. We show that 2-optimal TSP tours and greedy spanners satisfy the weak gap property.
Collaborative scientific conceptual change: a framework for analyzing science learning
Authors: Lei Liu, Cindy E. Hmelo-Silver
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

One problem in science education is that students neither construct in-depth conceptual understanding nor are they able to apply scientific thinking processes. A myriad of studies on conceptual change have investigated the nature and process of conceptual change, pedagogical strategies to foster conceptual change and improve higher-level thinking. We propose a new framework - the collaborative scientific conceptual change model - to stresses the importance of high quality collaborative discourse and scientific epistemic practices in the process of conceptual change. To investigate how group interactions influence individual students' learning gains, multilevel analysis was used to analyze the hierarchically nested data and qualitative analyses were presented to compare high and low-achievement groups' discourse and their application of epistemic practices. The results found that predicting and coordinating theory and evidence were key practices that predicted students' individual posttest performance and the group interactions were related to the group understanding.
A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation
Authors: Guan-Zheng Liu, Lei Wang, Yuan-Ting Zhang
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

This paper presents an expert body sensor network (BSN) algorithm for autonomous control of mean arterial blood pressure using vasoactive drugs. A robust Proportional Integral Differential (PID) control algorithm based on a statistics model was designated. Extensive simulation results indicated that the light-weighted expert BSN system is robust enough against sensitivity variations and various artificial disturbances.
Design and Evaluation of an Adaptive Mobile Map-Based Visualisation System
Authors: Bradley Tonder, Janet Wesson
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Mobile visualisation of map-based information is a difficult task. Designers of such systems must contend with the limitations of mobile devices in terms of hardware, screen size and input mechanisms. These problems are exacerbated by the nature of spatial data, where a large information space needs to be presented and manipulated on a small screen. In this paper, a prototype adaptive mobile map-based visualisation system, called MediaMaps, is presented. MediaMaps allows users to capture, location-tag, sort and browse multimedia in a map-based view. MediaMaps was designed to adapt the information visualised, the map-based visualisations and the supporting user interface. The results of an international field study, in which participants used MediaMaps on their personal mobile phones for a three-week period, are also presented. These results show that the adaptations implemented achieved high levels of accuracy and user satisfaction and successfully addressed some of the limitations of mobile map-based visualisation.
Legible Character Size on Mobile Terminal Screens: Estimation Using Pinch-in/Out on the iPod Touch Panel
Authors: Satoshi Hasegawa, Masako Omori, Tomoyuki Watanabe, Shohei Matsunuma, Masaru Miyao
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Using a multi-touch display on an iPod touch mobile multimedia player, an evaluation experiment was conducted to determine the most legible size for characters displayed on screens of mobile terminals. Subjects enlarged the characters by pinch-out (pinch opening) and/or reduced them by pinch-in (pinch closing) on a multi-touch display with more than one finger, and adjusted to the sizes of alphanumeric or Japanese characters to be the most legible. The characters were displayed positively (black characters on a white background) or negatively (white characters on a black background) using graphic text on the iPod touch. The adjusted sizes of characters and viewing distances were measured and visual angles were calculated. The influence of the positive or negative image display mode and the age of subjects on these legibility parameters is described.
Transform Invariant Video Fingerprinting by NMF
Authors: Ozan Gursoy, Bilge Gunsel, Neslihan Sengor
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Video fingerprinting is introduced as an effective tool for identification and recognition of video content even after putative modifications. In this paper, we present a video fingerprinting scheme based on non-negative matrix factorization (NMF). NMF is shown to be capable of generating discriminative, parts-based representations while reducing the dimensionality of the data. NMF's representation capacity can be fortified by incorporating geometric transformational duplicates of the base vectors into the factorization. Factorized base vectors are used as content based, representative features that uniquely describe the video content. Obtaining such base vectors by transformational NMF (T-NMF) is furthermore versatile in recognizing the attacked contents as copies of the original instead of considering them as a new content. Thus a novel approach for fingerprinting of video content based on T-NMF is introduced in this work and experimental results obtained on TRECVID data set are presented to demonstrate the robustness to geometric attacks and the improvement in the representation.
The Zodiac Policy Subsystem: A Policy-Based Management System for a High-Security MANET
Authors: Yuu-Heng Cheng, Mariana Raykova, Alex Poylisher, Scott Alexander, Martin Eiger, Steve M. Bellovin
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

Zodiac (Zero Outage Dynamic Intrinsically Assurable Communities) is an implementation of a high-security MANET, resistant to multiple types of attacks, including Byzantine faults.The Zodiac architecture poses a set of unique system security, performance, and usability requirements to its policy-based management system (PBMS).In this paper, we identify theses requirements, and present the design and implementation of the Zodiac Policy Subsystem (ZPS),which allows administrators to securely specify, distribute and evaluate network control and system security policies to customize Zodiac behaviors. ZPS uses the Keynote language for specifying all authorization policies with simple extension to support obligation policies.
Demo abstract: SWAT: Know your network
Authors: Kannan Srinivasan, Maria A. Kazandjieva, Mayank Jain, Edward Kim, Philip Levis
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Wireless networks have highly dynamic and complex behavior. Because there are huge differences between real networks and simplified simulation models, testbed evaluations are key parts of many experimental methodologies. Testbeds, however, have wildly varying properties and behavior, such that experiments on two testbeds can report contradictory results. This poster describes SWAT, a tool for generating reports on the dynamics and properties of wireless networks. Being able to quantify and report key properties of wireless networks sheds light on protocol design choices while simultaneously improving the repeatability and scientific rigor of testbed experiments.
Introducing a Pairwise Comparison Scale for UX Evaluations with Preschoolers
Authors: Bieke Zaman
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

This paper describes the development and validation of a pairwise comparison scale for user experience (UX) evaluations with preschoolers. More particularly, the dimensionality, reliability and validity of the scale are discussed. The results of three experiments among almost 170 preschoolers show that user experience cannot be measured quantitatively as a multi-dimensional construct. In contrast, preschoolers' UX should be measured directly as a one-dimensional higher order construct. This one-dimensional scale encompassing five general items proved to be internally consistent and valid providing evidence of a solid theory-based instrument to measure UX with preschoolers.
Hiding stars with fireworks: location privacy through camouflage
Authors: Joseph Meyerowitz, Romit Roy Choudhury
Venue: Proceedings of the 15th annual international conference on Mobile computing and networking (2009)

Individuals face privacy risks when providing personal location data to potentially untrusted location based services (LBSs). We develop and demonstrate CacheCloak, a system that enables realtime anonymization of location data. In CacheCloak, a trusted anonymizing server generates mobility predictions from historical data and submits intersecting predicted paths simultaneously to the LBS. Each new predicted path is made to intersect with other users' paths, ensuring that no individual user's path can be reliably tracked over time. Mobile users retrieve cached query responses for successive new locations from the trusted server, triggering new prediction only when no cached response is available for their current locations. A simulated hostile LBS with detailed mobility pattern data attempts to track users of CacheCloak, generating a quantitative measure of location privacy over time. GPS data from a GIS-based traffic simulation in an urban environment shows that CacheCloak can achieve realtime location privacy without loss of location accuracy or availability.