ppxscal/embedding_network huggingface dataset:
Development of a modified diffusion model of high efficient pumps considering rebate effects
Authors: Sungwook Hwang, Jongryul Won, Junghoon Kim, Byungha Lee
Venue: Proceedings of the 7th WSEAS International Conference on Instrumentation, Measurement, Circuits and Systems (2008)

In this paper, a modified diffusion model integrated with the effects of rebate programs is developed. Firstly, a high-efficient motor rebate program funded by Korean government is only for the unit base of motor and the priority is on the big size industrial motors. But the greater part of motors is included to various systems such as pump systems, fan systems, ventilation systems, motor itself, and so on. Hence, the existing rebate program is not suitable for these systems and a generalized rebate model for these systems is necessary. In the pre-study, a new diffusion model for motor rebate program was proposed and the adequacy of this model was evaluated in the case of Korea. This paper shows that the motor rebate model could be applied to the case of pumps. To estimate coefficients of the diffusion model, the least square method is used and the case study is carried out in Korean industry situation.
The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
Authors: Andrei Popescu-Belis, Erik Boertjes, Jonathan Kilgour, Peter Poller, Sandro Castronovo, Theresa Wilson, Alejandro Jaimes, Jean Carletta
Venue: Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction (2008)

The AMIDA Automatic Content Linking Device (ACLD) is a just-in-time document retrieval system for meeting environments. The ACLD listens to a meeting and displays information about the documents from the group's history that are most relevant to what is being said. Participants can view an outline or the entire content of the documents, if they feel that these documents are potentially useful at that moment of the meeting. The ACLD proof-of-concept prototype places meeting-related documents and segments of previously recorded meetings in a repository and indexes them. During a meeting, the ACLD continually retrieves the documents that are most relevant to keywords found automatically using the current meeting speech. The current prototype simulates the real-time speech recognition that will be available in the near future. The software components required to achieve these functions communicate using the Hub, a client/server architecture for annotation exchange and storage in real-time. Results and feedback for the first ACLD prototype are outlined, together with plans for its future development within the AMIDA EU integrated project. Potential users of the ACLD supported the overall concept, and provided feedback to improve the user interface and to access documents beyond the group's own history.
A Hybrid Model for Immune Inspired Network Intrusion Detection
Authors: Robert L. Fanelli
Venue: Proceedings of the 7th international conference on Artificial Immune Systems (2008)

This paper introduces a hybrid model for network intrusion detection that combines artificial immune system methods with conventional information security methods. The Network Threat Recognition with Immune Inspired Anomaly Detection, or NetTRIIAD, model incorporates misuse-based intrusion detection and network monitoring applications into an innate immune capability inspired by the immunological Danger Model. Experimentation on a prototype NetTRIIAD implementation demonstrates improved detection accuracy in comparison with misuse-based intrusion detection. Areas for future investigation and improvement to the model are also discussed.
Neural design procedure for an ATTR system based on video imaginary usage
Authors: Constantin-Iulian Vizitiu, Petrica Ciotîrnae
Venue: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information (2008)

It is well known that the design and effective development of ATTR systems incorporating in their architecture some characteristic elements belong to artificial intelligence represents and will represent a very important research direction in this area. Accordingly, in the current study a specific design algorithm for a full neural implementation of an ATTR system based on video imaginary usage is described. Using an actual database, the theoretical and experimental results obtained confirm the great potential of the proposed design algorithm to be implemented into concrete ATTR application.
Letters: Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM
Authors: Jiancheng Sun, Chongxun Zheng, Yatong Zhou, Yaohui Bai, Jianguo Luo
Venue: Neurocomputing (2008)

In order to resolve the noise reduction in chaotic time series, a novel method based on multidimensional recurrent least squares support vector machine (MDRLS-SVM) is proposed in this paper. Considering the evolvement feature of the chaotic system, we utilize the recurrent version of least squares support vector machines (LS-SVM) to manipulate the iterative problem. From the high-dimensional phase space point of view, the function approximation in the high-dimensional embedding phase space is carried out and the noise reduction achieved simultaneously based on the reconstructed embedding phase theory. We show by means of simulation of Ikeda map that the proposed method is able to provide accurate results in noise reduction of chaotic system.
Towards Automatic Camera Calibration Under Changing Lighting Conditions Through Fuzzy Rules
Authors: M. Valdés-Vela, D. Herrero-Pérez, H. Martínez-Barberá
Venue: Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II (2007)

The context of this paper is the auto calibration of a CCD low cost camera of a robotic pet. The underlined idea of the auto calibration is to imitate the human eye capabilities, which is able to accommodates changing lighting conditions, and only when all functionalities works properly, light is converted to impulses to the brain where the image is sensed. In order to choose the more appropriated camera's parameters, a fuzzy rules model has been generated following a neuro-fuzzy approach. This model classifies images into five classes: from very dark, to very light. This is the first step to the generation of a subsequent fuzzy controller able to change the camera setting in order to improve the image received from an environment with changing lighting conditions.
Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis
Authors: Mahnaz Maddah, Marek Kubicki, William M. Wells, Carl-Fredrik Westin, Martha E. Shenton, W. Eric Grimson
Venue: Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I (2008)

This paper presents a tract-oriented analysis of diffusion tensor (DT) images of the human brain. We demonstrate that unlike the commonly used ROI-based methods for population studies, our technique is sensitive to the local variation of diffusivity parameters along the fiber tracts. We show the strength of the proposed approach in identifying the differences in schizophrenic data compared to controls. Statistically significant drops in fractional anisotropy are observed along the genu and bilaterally in the splenium, as well as an increase in principal eigenvalue in uncinate fasciculus. This is the first tract-oriented clinical study in which an anatomical atlas is used to guide the algorithm.
Coordination in Disaster Management and Response: A Unified Approach
Authors: Myriam Abramson, William Chao, Joseph Macker, Ranjeev Mittu
Venue: Massively Multi-Agent Technology: AAMAS Workshops, MMAS 2006, LSMAS 2006, and CCMMS 2007 Hakodate, Japan, May 9, 2006 Honolulu, HI, USA, May 15, 2007 Selected and Revised Papers (2008)

Natural, technological and man-made disasters are typically followed by chaos that results from an inadequate overall response. Three separate levels of coordination are addressed in the mitigation and preparedness phase of disaster management where environmental conditions are slowly changing: (1) communication and transportation infrastructure, (2) monitoring and assessment tools, (3) collaborative tools and services for information sharing. However, the nature of emergencies is to be unpredictable. Toward that end, a fourth level of coordination --- distributed resource/role allocation algorithms of first responders, mobile workers, aid supplies and victims --- addresses the dynamic environmental conditions of the response phase during an emergency. A tiered peer-to-peer system architecture could combine those different levels of coordination to address the changing needs of disaster management. We describe in this paper the architecture of such a tiered peer-to-peer agent-based coordination decision support system for disaster management and response and the applicable coordination algorithms including ATF, a novel, self-organized algorithm for adaptive team formation.
Temporal Logic with Capacity Constraints
Authors: Clare Dixon, Michael Fisher, Boris Konev
Venue: Proceedings of the 6th international symposium on Frontiers of Combining Systems (2007)

Often when modelling systems, physical constraints on the resources available are needed. For example, we might say that at most N processes can access a particular resource at any moment or exactly M participants are needed for an agreement. Such situations are concisely modelled where propositions are constrained such that at most N, or exactly M, can hold at any moment in time. This paper describes both the logical basis and a verification method for propositional linear time temporal logics which allow such constraints as input. The method incorporates ideas developed earlier for a resolution method for the temporal logic TLX and a tableaux-like procedure for PTL. The complexity of this procedure is discussed and case studies are examined. The logic itself represents a combination of standard temporal logic with classical constraints restricting the numbers of propositions that can be satisfied at any moment in time.
Distributed quantum computing: a new frontier in distributed systems or science fiction?
Authors: Vasil S. Denchev, Gopal Pandurangan
Venue: ACM SIGACT News (2008)

Quantum computing and distributed systems may enter a mutually beneficial partnership in the future. On the one hand, it is much easier to build a number of small quantum computers rather than a single large one. On the other hand, the best results concerning some of the fundamental problems in distributed computing can potentially be dramatically improved upon by taking advantage of the superior resources and processing power that quantum mechanics offers. This survey has the purpose to highlight both of these benefits. We first review the current results regarding the implementation of arbitrary quantum algorithms on distributed hardware. We then discuss existing proposals for quantum solutions of leader election - a fundamental problem from distributed computing. Quantum mechanics allows leader election to be solved with no communication, provided that certain pre-shared entanglement is already in place. Further, an impossibility result from classical distributed computing is circumvented by the quantum solution of anonymous leader election - a unique leader is elected in finite time with certainty. Finally, we discuss the viability of these proposals from a practical perspective. Although, theoretically, distributed quantum computing looks promising, it is still unclear how to build quantum hardware and how to create and maintain robust large-scale entangled states. Moreover, it is not clear whether the costs of creating entangled states and working with them are smaller than the costs of existing classical solutions.
Secure mobile electronic card used in medical services
Authors: Cristian Toma, Marius Popa, Catalin Boja, Miruna Vasilache
Venue: Proceedings of the WSEAS International Conference on Applied Computing Conference (2008)

The paper presents the electronic wallet solution implemented within a GSM SIM technology for accessing medical services. The medical e-Wallet should achieve two major goals: accessing information on the patient's medical history and payment for private medical services. The security issue is a very important one as the patient's history is confidential and the payment has to be safe.
Multi-Valued Cellular Neural Networks and Its Application for Associative Memory
Authors: Zhong Zhang, Takuma Akiduki, Tetsuo Miyake, Takashi Imamura
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

This paper discusses the design of multi-valued output functions of Cellular Neural Networks (CNNs) implementing associative memories. The output function of the CNNs is a piecewise linear function which consists of a saturation and non-saturation range. The new structure of the output function is defined, and is called the "basic waveform". The saturation ranges with n levels are generated by adding n ¿ 1 basic waveforms. Consequently, creating an associative memory of multi-valued patterns has been successful, and computer experiment results show the validity of the proposed method. The results of this research can expand the range of applications of CNNs as associative memories.
Continuous Consensus with Failures and Recoveries
Authors: Tal Mizrahi, Yoram Moses
Venue: Proceedings of the 22nd international symposium on Distributed Computing (2008)

A continuous consensus (CC) protocol maintains for each process i at each time k an up-to-date core M_i[k] of information about the past, so that the cores at all processes are guaranteed to be identical. This is a generalization of simultaneous consensus that provides processes with the ability to perform simultaneously coordinated actions, and saves the need to compute multiple instances of simultaneous consensus at any given time. For an indefinite ongoing service of this type, it is somewhat unreasonable to assume a bound on the number of processes that ever fail. Moreover, over time, we can expect failed processes to be corrected. A failure assumption called (m,t) interval-bounded failures, closely related to the window of vulnerability model of Castro and Liskov, is considered for this type of service. The assumption is that in any given interval of m rounds, at most t processes can display faulty behavior.This paper presents an efficient CC protocol for the (m,t) bound in the crash and sending omissions failure models. A matching lower bound proof shows that the protocol is optimal in all runs (and not just in the worst case): For each and every behavior of the adversary, and at each time instant m, the core that our protocol maintains at time m is a superset of the core maintained by any other correct CC protocol under the same adversary. The lower bound is a significant generalization of previous proofs for common knowledge, and it applies to continuous consensus in a wide class of benign failure models, including the general omissions model, for which no similar proof existed.
Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?
Authors: Niels Pinkwart, Collin Lynch, Kevin Ashley, Vincent Aleven
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

Diagrams appear to be a convenient vehicle for teaching argumentation skills in ill-defined domains, but can an ITS provide useful feedback on students' argument diagrams without assuming a well-defined procedure for objectively evaluating argument? LARGO is an ITS for legal argumentation that supports students as they diagram transcripts of US Supreme Court oral argument. It provides on-demand advice by identifying small, interesting or incomplete patterns within students' graphs. We conducted a study in which LARGO was used as mandatory part of a first-year law school class. In contrast to prior findings in lab studies with voluntary participants, the use of LARGO did not lead to superior learning as compared to a text-based note-taking tool. These results can be partially attributed to low use of the graphical tools and advice by the students as well as (and possibly due to) a different motivational focus. Some evidence was found that higher engagement with the system led to better learning, leaving open the tantalizing possibility of helping especially lower-aptitude students through use of LARGO.
Data Sharing in Scientific Simulations
Authors: Glenn Downing, Paul F. Dubois, Teresa Cottom
Venue: Computing in Science and Engineering (2004)

Several physics processes modify the state of a scientific simulation over time. In fact, researchers often divide a simulation's development into areas called packages according to physics specialization. In this article, we use the word "package" primarily to mean a portion of scientific software whose components communicate internally much more than they do with outside routines, but packages can take the form of third-party libraries for common mathematical or computer science functions. Most parts of a simulation refer to the "infrastructure" portion of the state, so we can think of this portion as a package with lots of customers. How we share data within and between these packages is crucial to developer productivity. In this installment of Scientific Programming, we explore some of the pros and cons of the different ways to share data in C++ code.
Disambiguation and Unknown Term Translation in Cross Language Information Retrieval
Authors: Dong Zhou, Mark Truran, Tim Brailsford
Venue: Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers (2008)

In this paper we present a report on our participation in the CLEF 2007 Chinese-English ad hoc bilingual track. We discuss a disambiguation strategy which employs a modified co-occurrence model to determine the most appropriate translation for a given query. This strategy is used alongside a pattern-based translation extraction method which addresses the `unknown term' translation problem. Experimental results demonstrate that a combination of these two techniques substantially improves retrieval effectiveness when compared to various baseline systems that employ basic co-occurrence measures with no provision for out-of-vocabulary terms.
Media Me: Body and Personal Media Interaction
Authors: Owen Noel Fernando, Imiyage Janaka Wijesena, Adrian David Cheok, Ajith Parakum Madurapperuma, Lochandaka Ranathunga, Mei Gangwen, Miyuru Dayarathna, Srinivasan Mariappan, Lee Rui Jerome
Venue: Proceedings of the 6th international conference on Entertainment Computing (2007)

"Media Me" is a media interactive art work which comments on the bidirectional relationship between people and the media through the use of a realtime video mosaic. The elements of the video mosaic could be personal, cultural, historical, and educational. This research can be considered as a combination of creativity, art, and digital entertainment as well as an extension of personal media broadcasting. It comments on the growing trend of personal broadcasting and social media.
User-Interface Modelling for Blind Users
Authors: Fernando Alonso, José L. Fuertes, Ángel L. González, Loïc Martínez
Venue: Proceedings of the 11th international conference on Computers Helping People with Special Needs (2008)

The design of a user interface usable by blind people sets specific usability requirements that are unnecessary for sighted users. These requirements focus on task adequacy, dimensional trade-off, behaviour equivalence, semantic loss avoidance and device-independency. Consequently, the development of human-computer interfaces (HCI) that are based on task, domain, dialog, presentation, platform and user models has to be modified to take into account these requirements. This paper presents a user interface model for blind people, which incorporates these usability requirements into the above HCI models. A framework implementing the model has been developed and implemented in an electronic speaking bilingual software environment for blind or visually impaired people and in an educational system for children with special educational needs.
Study on leakage current waveforms and flashover of ceramics for outdoor insulators under artificially-simulated pollutions
Authors: P. Suwarno Juniko
Venue: Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering (2008)

Outdoor insulators play an important role in high voltage transmission lines. Since long time ago, ceramic insulators are widely being used in power systems at medium, high and extra high voltage levels. During operation, the insulators may severe a certain degree of pollution which may reduce their performances such as surface resistance and flash over voltages. Under these conditions a large leakage current (LC) may flow on the surface and degradation may take place. In long term the degradation may lead to the flash over of the insulators. This paper reports the experimental results on the leakage current characteristics of ceramics under various simulated environmental conditions. The samples used are blocks of ceramics with dimension of 250 × 50 × 20 mm3. The samples were made from same materials for outdoor ceramic insulators. The samples were put in a test chamber with controlled humidity and artificial pollution conditions. AC voltage with frequency of 50 Hz was applied. The tests were conducted according to IEC 60-1 (1989) and IEC 507 (fog test). The LC waveforms up to flash over were measured. The magnitudes as well as harmonic content of the LC were analyzed. The correlation between LC waveforms and dry band arching phenomenon was also elaborated. Visual observation of the arc on the sample surfaces was conducted using a video camera. Experimental results showed that for clean insulators leakage current was much smaller than polluted insulators. The waveform distortion was observed particularly at positive half cycle when applied voltage was increased to higher than 20 kV. For kaolin-salt polluted insulators, the LC amplitude was much higher than clean insulators. LC waveform distortion started at 10 kV. Unbalance distortion of LC waveforms was observed similar to those of clean samples. However, for kaolin-salt polluted samples, the distortion was observed mainly at negative half cycles. Observation of LC waveforms during the process of flashover revealed that THD of increased with the applied voltage.
Analogical Translation of Medical Words in Different Languages
Authors: Philippe Langlais, François Yvon, Pierre Zweigenbaum
Venue: Proceedings of the 6th international conference on Advances in Natural Language Processing (2008)

Term translation has become a recurring need in many domains. This creates an interest for robust methods which can translate words in various languages. We propose a novel, analogy-based method to generate word translations. It relies on a partial bilingual lexicon and solves bilingual analogical equations to create candidate translations. We evaluate our approach on medical terms. To study the robustness of the method, we evaluate it on a series of datasets taken from different language groups and using different scripts. We investigate to which extend the approach can cope directly with multiword terms, and study its dependency to the size of the training set.