ppxscal/embedding_network huggingface dataset:
Analysis of Land Surface Changes and Environmental Impact Using Landsat Thermal Infrared Data
Authors: Jong-Gyu Han
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

In this paper, we use multi-temporal remote sensing data to analyze the pattern of surface change of the city of Shanghai and its neighborhoods brought on by the sudden development of the city and analyze how the surface change affects the change in surface temperature. To detect the surface change, the study used the satellite data of Landsat 3 MSS in 1979, Landsat 5 TM in 1989, Landsat ETM+ in 2001. To analyze the surface change of 22 years, the study used each of the satellite data to make the land surface maps, superimposed them together and analyzed the quantitative data for the amount of the surface change. We applied ISODATA unsupervised classification algorithm to classify them and made error matrix to verify the classification accuracy. The classification accuracy for the land cover maps was analyzed to be 93.01%, 90.44%, 88.23%, respectively. We analyzed the amount of the surface between 1979 and 2001 to find the change of 20.40%. That corresponds to the area of about 166,354ha. The rate of change in the urban area was 245.25%. Hence the size of the urban area increased more than two-folds during the period. To analyze the change in the surface temperature due to the change of the surface, we used Landsat thermal infrared data photographed in August, 1989 and July, 2001 to make the surface temperature distribution map. To analyze the impact of the surface change on the surface temperature, we superimposed the land cover map and the surface temperature distribution map to find out the change of the surface temperature according to land cover type. The average surface area in 1989 and 2001 were 23.55C and 28.78 C hence increased by about 5 C in 12 years. The difference in the temperature of the urban area and the agricultural area was found to be 2.01C in August, 1989 and 2.38 C in July, 2001, hence the difference increased by 0.37 C. This result can be seen to verify the increase in the surface temperature due to urbanization. The increase in temperature due to global warming can be one factor to this, but the change in the material such as concrete, asphalt, and steel that cover roads, buildings and industrial complex built due to the sudden increase of the urban area seem to have a bigger impacts.
Segmentation of Color Images using Mean Shift Algorithm for Feature Extraction
Authors: M. V. Sudhamani, C. R. venugopal
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

The use of low-level visual features to retrieve relevant information from image and video databases has drawn much research attention in recent years. Color is perhaps the most dominant and distinguishing visual feature. In modern CBIR systems, statistical clustering methods are often used to extract visual features, index the feature space, and classify images into semantic categories. Statistical clustering methods are tools that search and generalize concepts based on a large amount of high dimensional numerical data. Feature space analysis is the procedure of recovering the centers of the high-density regions. The technique for representing the significant image features is based on the mean shift algorithm, a simple nonparametric procedure for estimating density gradients. This paper discusses color image segmentation, which is base to feature extraction for content-based image retrieval.
Modeling of excited states of a crystal basing on the frequency-phase synchronization of vibrations of crystal site lattice
Authors: L. A. Bityutskaya, S. G. Zhitskey
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

This work represents results of modeling of synchronization effect in spatially-distributed system of oscillators. These effects are connected with the experimentally observed generation of the heat energy at the stage of preand post-melting.
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
Authors: Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings, Jim Napolitano, Boleslaw K. Szymanski, Carlos A. Varela
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA programming language and the Internet Operating System middleware. We have used our fitter to perform a partial wave analysis of particle physics data. Preliminary measurements have shown good performance and scalability. We expect our approach to be applicable to other scientific domains, such as biology and astronomy, where maximum likelihood evaluation is an important technique. We also expect our performance results to scale to Internet-wide runtime infrastructures, given the high adaptability of our software framework.
Dynamic cooperation using resource based planning
Authors: Utku Erdoǧdu, Faruk Polat
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

In multi-agent planning, cooperation is a crucial interaction to reduce plan costs and complexities in order to satisfy non-conflicting goals. However, it is not generally natural to sacrifice from the autonomy of agents by letting agents share all of their local plans. Resource based planning is a planning framework similar to logic based planning based on resources and skills that map to states and actions of world state. Resource based planning is very functional in processing plan elements to find cooperation schemas. In this work we extended the simple resource based plan coordination method proposed by Tonino, et al [2]. Our framework provides not only a basis for modifying plan elements, but also functionality for manipulating plans dynamically. A negotiation algorithm using a resource based perspective provides the necessary ground for forming cooperation among agents. We illustrated the effectiveness of the proposed method on a modified postman domain, where agents try to minimize the cost of delivering the letters they are assigned.
Natural Textures for Weather Data Visualization
Authors: Ying Tang, Huamin Qu, Yingcai Wu, Hong Zhou
Venue: Proceedings of the conference on Information Visualization (2006)

In this paper we present a novel method to visualize weather data with multi-layer controllable texture synthesis. Texture possesses multiple principal perceptual channels, which makes it good at encoding multiple data attributes contained in weather data. The natural textures existed in the real world especially provide plenty of choices to encode the data with visually pleasing images. A controllable texture synthesis method is developed to generate a large amount of textures which change the appearances of their individual perceptual dimensions according to the underlying distribution of data attributes. In order to encode more data attributes we further propose multi-layer texture synthesis. The background and foreground textures are separately synthesized and then combined together for display. In the end, we apply our method to some real-world weather data and demonstrate its effectiveness with a user study.
A Comparative Study of Interface Design Approaches for Service-Oriented Software
Authors: Hui Ming Teo, Wan M. N. Wan Kadir
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

In the service-oriented software environment, interactions between components are highly dependent on the exposed service interfaces. Therefore, designing an appropriate service interface is essential. In this paper, we aim to perform a comparative evaluation on three different approaches to service interface design, i.e. method-centric, message-centric and resourcecentric. The evaluation is peformed systematically based on a list of selected evaluation criteria. It is expected that the evaluation results may assist software architects to understand the differences between approaches and adopt the approaches wisely in the service interface design.
Semantic Grid Services for Video Analysis
Authors: Gayathri Nadarajan, Yun-Heh Chen-Burger, James Malone
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Employing the power of Semantic Grid services into pervasive problem domains such as video analysis would allow for more effective distributed processing. A vast amount of ecological data from the EcoGrid of varying qualities and features will need to be analysed efficiently. As manual processing by humans can be time and labour intensive, video and image processing tools can go some way to addressing such problems since they are computationally fast. However, most video analyses that utilise a combination of these tools are still done manually. We propose a semantic-based hybrid workflow composition method that strives to provide automation to speed up this process. The main components of this framework are presented, along with the illustration of a scenario where these components act as Semantic Grid services for EcoGrid video analysis.
Neural Differentiation of Lexico-Syntactic Categories or Semantic Features? Event-Related Potential Evidence for Both
Authors: Marion L. Kellenbach, Albertus A. Wijers, Marjolijn Hovius, Juul Mulder, Gijsbertus Mulder
Venue: Journal of Cognitive Neuroscience (2002)

Event-related potentials (ERPs) were used to investigate whether processing differences between nouns and verbs can be accounted for by the differential salience of visual-perceptual and motor attributes in their semantic specifications. Three subclasses of nouns and verbs were selected, which differed in their semantic attribute composition (abstract, high visual, high visual and motor). Single visual word presentation with a recognition memory task was used. While multiple robust and parallel ERP effects were observed for both grammatical class and attribute type, there were no interactions between these. This pattern of effects provides support for lexical-semantic knowledge being organized in a manner that takes account both of category-based (grammatical class) and attribute-based distinctions.
Metrics-Based Software Reliability Models Using Non-homogeneous Poisson Processes
Authors: Kazuya Shibata, Koichiro Rinsaka, Tadashi Dohi
Venue: Proceedings of the 17th International Symposium on Software Reliability Engineering (2006)

The traditional software reliability models aim to describe the temporal behavior of software fault-detection processes with only the fault data, but fail to incorporate some significant test-metrics data observed in software testing. In this paper we develop a useful modeling framework to assess the quantitative software reliability with time-dependent covariate as well as software-fault data. The basic ideas employed here are to introduce the discrete proportional hazard model on a cumulative Bernoulli trial process, and to represent a generalized fault-detection processes having time-dependent covariate structure. The resulting stochastic models are regarded as combinations of the proportional hazard models and the familiar non-homogeneous Poisson processes. We compare these metrics-based software reliability models with some typical non-homogeneous Poisson process models, and evaluate quantitatively both goodness of- fit and predictive performances from the viewpoint of information criteria. As an important result, the accuracy on reliability assessment strongly depends on the kind of software metrics used for analysis and can be improved by incorporating time-dependent metrics data in modeling.
Computer-Aided Detection of Prostate Cancer
Authors: Narsis Morteza, Ghorashi Alhosseini Analoui
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in developed countries. Detection of prostate carcinoma at an early stage is crucial for successful treatment. The ability to diagnose early prostate cancer has outpaced imaging methods for accurate localization and staging of the disease, and for delivering the most appropriate form of therapy needs include improved methods for identification of the boundary of the prostate and localization of the extent of the disease. The method is based on computer assisted image analysis functions being able to assign each picture element (pixel) one tissue class. The classification of pixels and their local features follows a statistical, supervised learning approach and also a method for the analysis of Transrectal ultrasound images aimed at computer-aided diagnosis of prostate cancer is tested in this paper with classifier Hidden Markov Model.
Panel on future challenges in modeling methodology
Authors: Simon J. E. Taylor, Peter Lendermann, Ray J. Paul, Steven W. Reichenthal, Steffen Straßburger, Stephen J. Turner
Venue: Proceedings of the 36th conference on Winter simulation (2004)

This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing.
A Coupling-based Complexity Metric for Remote Component-based Software Systems Toward Maintainability Estimation
Authors: Hironori Washizaki, Tomoki Nakagawa, Yuhki Saito, Yoshiaki Fukazawa
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

Remote-component-based software systems (CBS) must provide high maintainability to support operation over long periods of time and correspond to changes in enterprise requirements/ environments. Measurements of the degree of complexity of a system are one technique for evaluating maintainability. However, conventional complexity metrics are unable to reflect the overall complexity of the system, because they do not incorporate a procedure to account for characteristics of CBS. To help maintenance work proceed smoothly, we propose a new metric that measures the coupling-based complexity of CBS by abstracting the target system's structure through a step-wise process and taking into consideration the characteristics of remote components. Our metric can be applied to CBS based on the Enterprise JavaBeans component architecture. As a result of experimental evaluations, it is found that our metric better reflects the maintainability than conventional metrics. It is also found that our metric is nonredundant with existing metrics such as Coupling Factor.
A Real-time Monitoring System for Programming Education using Program Animation Systems and Compile-Errors Records
Authors: Youzou Miyadera, Kunimi Kurasawa, Setsuo Yokoyama, Shoichi Nakamura, Nobuyoshi Yonezawa
Venue: Proceedings of the conference on Information Visualization (2006)

We have developed a system that informs lecturers regarding real-time learning situations in the classroom and helps them provide support for students (novice programmers) experiencing common problems. This system has two functions. The first is a program animation function which keeps a historical record of the students' operations, and analyses this record to provide the information about difficulty of program actions to lecturers. The second is a compile-error support function which keeps a historical record of the students' errors, and then analyses this record and informs the lecturer about the correspondence between compile-error causes and particular lines of source code. This system should provide lecturers with full support and real-time solutions to common problems faced by students.
Didn't I tell you that?: challenges and tensions in developing and sustaining school-university partnerships
Authors: Michael Barnett, Thomas Higginbotham, Janice Anderson
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Chamberlain High School is small inner-city school within a school in a large urban district. Over its five years of existence, Chamberlain administrators have enlisted the aid of outside partners to help them realize the vision of an interdisciplinary environmental science theme based school. Partners include many university-based groups, as well as groups such as National Public Radio's Living on Earth, the Urban Ecology Institute (a non-profit university-based organization), and a local environmental literacy program. This study was undertaken to understand some of the dynamics behind those partnerships. Using activity theory as an analytical lens we found a set of tensions that drove many of the changes that have occurred between the school and its partners. In this paper we document these tensions so others who are working in similar situations will be able to leverage our experience and findings to support urban school change.
Ontology-guided learning to improve communication between groups of agents
Authors: Mohsen Afsharchi, Behrouz H. Far, Jörg Denzinger
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation abilities. Our method aims at getting positive and negative examples for a concept only very vaguely understood by a particular agent from the other agents. This agent then uses one of the known concept learning methods to learn the concept in question, involving the other agents again by taking votes in case of conflicts in the received knowledge. This method allows agents that are not sharing common ontologies to establish common grounds on concepts known only to some of them, if these common grounds are needed during cooperation. While the concepts learned by an agent are only compromises between the views of the other agents, the method nevertheless enhances the autonomy of agents using it substantially.
Programming monads operationally with Unimo
Authors: Chuan-kai Lin
Venue: ACM SIGPLAN Notices (2006)

Monads are widely used in Haskell for modeling computational effects, but defining monads remains a daunting challenge. Since every part of a monad's definition depends on its computational effects, programmers cannot leverage the common behavior of all monads easily and thus must build from scratch each monad that models a new computational effect.I propose the Unimo framework which allows programmers to define monads and monad transformers in a modular manner. Unimo contains a heavily parameterized observer function which enforces the monad laws, and programmers define a monad by invoking the observer function with arguments that specify the computational effects of the monad. Since Unimo provides the common behavior of all monads in a reusable form, programmers no longer need to rebuild the semantic boilerplate for each monad and can instead focus on the more interesting and rewarding task of modeling the desired computational effects.
Thermal modelling for electrical machines fed with low voltage first approach of a reliability model
Authors: A. Eme, R. Glises, D. Chamagne, J. M. Kauffmann, F. Chalon, T. Péra
Venue: Mathematics and Computers in Simulation (2006)

Permanent magnet electrical motors are more and more currently used in car manufacture. A very constraining utilization reduces their life duration. Authors of this paper propose a new way to define reliability criterions of these low power machines. Most of internal fragility locations are winding insulations, ball bearings so that the system collector and brushes. Nowadays, statistical determination methods of the reliability criterions are very costly. For this reason, authors propose a new method consisting in the development of thermal models for different surrounding temperatures. It will also take into account degradation laws of constituting materials as functions of reached temperatures and life duration. This article will detail the initial validation of the thermal models for surrounding temperatures of 25 and 85°C.
A Comparative Study on Supervised and Unsupervised Learning Approaches for Multilingual Text Categorization
Authors: Chung-Hong Lee, Hsin-Chang Yang, Ting-Chung Chen, Sheng-Min Ma
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Recently users of internationally distributed information networks need tools and methods that will enable them to discover, retrieve and categorize relevant information, in whatever language and form it may have been stored. This drives a convergence of numerous interests from diverse research communities focusing on the issues related to multilingual text categorization. In this work we compare and evaluate the performance of the leading supervised and unsupervised approaches for multilingual text categorization by using various performance measures and standard document corpora. For simplicity, we selected Support Vector Machines (SVM) and Latent Semantic Indexing (LSI) techniques as representatives of supervised and unsupervised methods for multilingual text categorization, respectively. The preliminary results show that our platform models including both supervised and unsupervised learning methods have the potentials for multilingual text categorization.
A Tool-Supported Review Approach to Detecting Structural Consistency Violations
Authors: Yuting Chen, Shaoying Liu, Fumiko Nagoya
Venue: Proceedings of the 11th IEEE International Conference on Engineering of Complex Computer Systems (2006)

The application of specification-based program verification techniques (e.g., testing, review, and proof) faces strong challenges in practice when the gap between the structure of a specification and that of its program is large. In this paper we describe a tool-supported review approach to detecting structural consistency violations by introducing the review method, discussing the design and implementation of the tool, and presenting a case study to assess the effectiveness of the tool and identify points for further improvement.
Does the Medial Temporal Lobe Bind Phonological Memories?
Authors: Raymond Knott, William Marslen-wilson
Venue: Journal of Cognitive Neuroscience (2001)

The medial temporal lobes play a central role in the consolidation of new memories. Medial temporal lesions impair episodic learning in amnesia, and disrupt vocabulary acquisition. To investigate the role of consolidation processes in phonological memory and to understand where and how, in amnesia, these processes begin to fail, we reexamined phonological memory in the amnesic patient HM. While HM's word span performance was normal, his supraspan recall was shown to be markedly impaired, with his recall characterized by a distinctive pattern of phonological errors, where he recombined phonemes from the original list to form new response words. These were similar to errors observed earlier for patients with specifically semantic deficits. Amnesic Korsakoff's patients showed a similar, though much less marked, pattern. We interpret the data in terms of a model of lexical representation where temporal lobe damage disrupts the processes that normally bind semantic and phonological representations.