ppxscal/embedding_network huggingface dataset:
Relevance Grounding for Planning in Relational Domains
Authors: Tobias Lang, Marc Toussaint
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that ground this representation for all objects need to plan in exponentially large state spaces and large sets of stochastic actions. A key insight for computational efficiency is that successful planning typically involves only a small subset of relevant objects. In this paper, we introduce a probabilistic model to represent planning with subsets of objects and provide a definition of object relevance. Our definition is sufficient to prove consistency between repeated planning in partially grounded models restricted to relevant objects and planning in the fully grounded model. We propose an algorithm that exploits object relevance to plan efficiently in complex domains. Empirical results in a simulated 3D blocksworld with an articulated manipulator and realistic physics prove the effectiveness of our approach.
Effects of Gender Difference on Emergency Operation Interface Design in Semiconductor Industry
Authors: Hunszu Liu
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

This research investigates the effects of gender difference on emergency operation interface design through studying monitoring operations performed at emergency response center. An experiment is designed to test the performance differences between fifteen male and fifteen female college engineering students. The signal detection time, incident processing time, number of errors, and duration of experiment are dependant variables to measure the participants' performance. Statistical analysis indicates that no significant differences can be found between males' and females' performances except the number of errors. Female participants make more errors than male participants. A training program is suggested to help female workers familiar with the emergency operations. The research results provide evidences for adjusting current disaster prevention personnel recruitment policy and suggestions for further improvements of emergency operation interface design in semiconductor industry.
User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures
Authors: Dawei Jia, Asim Bhatti, Chris Mawson, Saeid Nahavandi
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

This study assessed the utility of measures of Self-efficacy (SelfEfficacy) and Perceived VE efficacy (PVEefficacy) for quantifying how effective VEs are in procedural task training. SelfEfficacy and PVEefficacy have been identified as affective construct potentially underlying VE efficacy that is not evident from user task performance. The motivation for this study is to establish subjective measures of VE efficacy and investigate the relationship between PVEefficacy, SelfEfficacy and User task performance. Results demonstrated different levels of prior experience in manipulating 3D objects in gaming or computer environment (LOE3D) effects on task performance and user perception of VE efficacy. Regression analysis revealed LOE3D, SelfEfficacy, PVEefficacy explain significant portions of the variance in VE efficacy. Results of the study provide further evidence that task performance may share relationships with PVEefficacy and SelfEfficacy, and that affective constructs, such as PVEefficacy, and SelfEfficacy may serve as alternative, subjective measures of task performance that account for VE efficacy.
Chinese Pinyin-Text Conversion on Segmented Text
Authors: Wei Liu, Louise Guthrie
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

Most current research and applications on Pinyin to Chinese word conversion employs a hidden Markov model (HMMs) which in turn uses a character-based language model. The reason is because Chinese texts are written without word boundaries. However in some tasks that involve the Pinyin to Chinese conversion, such as Chinese text proofreading, the original Chinese text is known. This enables us to extract the words and a word-based language model can be developed. In this paper we compare the two models and come to a conclusion that using word-based bi-gram language model achieve higher conversion accuracy than character-based bi-gram language model.
Separation of Geostationary Satellites with Eccentricity and Inclination Vector
Authors: Jiancheng Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Abstract—Nowadays, locating several satellites in a narrowstation-keeping window is a good way to make advantage of the geostationary orbit source problem. To avoid collision,drawbacks of close approach and mutual interferences, a method of multi-satellites separation using eccentricity vector and inclination vector is discussed in this paper. The principle and constraint equation of combined separation is investigated. The initial qualification, the eccentricity and inclination control strategy in W/E maneuver and N/S maneuver is given. Simulation shows that minimum distance separation more than 10 Km, and two Chinese geostationary satellites work in orbit with secure operation.
Distributed Sensing and Control Architecture for Automotive Factory Automation
Authors: Ningxu Cai, Robert W. Brennan
Venue: Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2009)

In this paper we propose an architecture for distributed intelligent sensing and control (DISC) for automotive factory automation. The architecture is based on a platform-based design approach that breaks the sensing and control problem into increasingly higher levels of abstraction from physical hardware to intelligent sensing and control. The focus of this paper is on the middleware layer that serves as an interface between an upper, agent-based control level and the wireless sensor network. This layer takes advantage the IEC 61499 model for distributed process measurement and control, and in particular, exploits its distributed, modular structure and its close match to wireless sensor systems.
An Adaptive Soft Sensor for Mill Load Measurement Based on PCA and FasArt Neural Fuzzy Networks
Authors: Gangquan Si, Hui Cao, Yanbin Zhang, Lixin Jia
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Precise load measurement is important for the supervision of the pulverizing process in thermal power plant. This paper presents an adaptive soft sensor based on PCA and FasArt neural networks to achieve this purpose. PCA is firstly used to compress the input secondary variables and the dimension is reduced from 9 to 3 with little loss of information. Then FasArt model derive the knowledge from the training data and construct the relationships between the input secondary variables and target variable automatically. Experimental results show that the proposed model achieve a high accuracy. Moreover, the model has potential advantage of incremental learning capability.
Achieving far transfer in an integrated cognitive architecture
Authors: Dan Shapiro, Tolga Könik, Paul O'Rorke
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

Transfer is the ability to employ knowledge acquired in one task to improve performance in another. We study transfer in the context of the ICARUS cognitive architecture, which supplies diverse capabilities for execution, inference, planning, and learning. We report on an extension to ICARUS called representation mapping that transfers structured skills and concepts between disparate tasks that may not even be expressed with the same symbol set. We show that representation mapping is naturally integrated into ICARUS' cognitive processing loop, resulting in a system that addresses a qualitatively new class of problems by considering the relevance of past experience to current goals.
A scalable service-oriented architecture for multimedia analysis, synthesis and consumption
Authors: Steffen Heinzl, Dominik Seiler, Ernst Juhnke, Thilo Stadelmann, Ralph Ewerth, Manfred Grauer, Bernd Freisleben
Venue: International Journal of Web and Grid Services (2009)

Although Service-Oriented Architectures (SOAs) were not designed for multimedia processing, they speed up the development of distributed multimedia applications by allowing the composition or reconfiguration of existing services. For example, the Business Process Execution Language for Web Services (BPEL) is a powerful tool to orchestrate, model and execute workflows. However, due to its process-oriented approach, it is not directly applicable to data-intensive applications, such as those from the multimedia domain. In this paper, a comprehensive service-oriented infrastructure for multimedia applications is presented that (a) overcomes some drawbacks of BPEL for data-intensive applications and (b) provides tools that further ease the development and use of web services for a broad scope of multimedia applications covering video content analysis, audio analysis and synthesis and multimedia consumption. The proposed service-oriented infrastructure can be easily integrated into existing business processes by using BPEL. A dynamic allocation of cloud computing resources ensures the scalability of a multimedia application. To allow efficient and flexible data transfers in BPEL workflows, an implementation of the Flexible SOAP with Attachments (Flex-SwA) architecture is used that allows data transmission in conjunction with SOAP messages. The protocol requirements of services in the case of real-time, streaming or file transfer can be described by a communication policy. Three use cases of multimedia applications are evaluated.
A method of incorporating bigram constraints into an LR table and its effectiveness in natural language processing
Authors: Hiroki Imai, Hozumi Tanaka
Venue: Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning (1998)

In this paper, we propose a method for constructing bigram LR tables by way of incorporating bigram constraints into an LR table. Using a bigram LR table, it is possible for a GLR parser to make use of both bigram and CFG constraints in natural language processing. Applying bigram LR tables to our GLR method has the following advantages: (1) Language models utilizing bigram LR tables have lower perplexity than simple bigram language models, since local constraints (bigram) and global constraints (CFG) are combined in a single bigram LR table. (2) Bigram constraints are easily acquired from a given corpus. Therefore data sparseness is not likely to arise. (3) Separation of local and global constraints keeps down the number of CFG rules. The first advantage leads to a reduction in complexity, and as the result, better performance in GLR parsing. Our experiments demonstrate the effectiveness of our method.
Implementation and Experiment of Publish/Subscribe System on Wireless Mesh Networks - Word-Mouth Information Distribution Service
Authors: Yusuke Kato, Yiyuan Diao, Nhy Nguyen Tu Pham, Ken-ichiro Yagura, Takayuki Kitada, Kazuhiro Yamaguchi, Yumi Takaki, Mitsuhiro Kuwano, Chikara Ohta
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

Publish/subscribe (Pub/Sub) systems can disseminate information scalability. This systems also enable users to get only their interesting information in real time. We are planning demonstration experiments of Pub/Sub systems as a word-mouth information distribution service (WIDS)for users such as resident, shopper and traveler in Kobe,Japan, with the support of the Strategic Information and Communications R&D Promotion Programme (SCOPE).In this paper, we present a summary of the WIDS, and propose a dissemination tree construction protocol, which is implemented in the WIDS. Then, we show the effectiveness of our proposal protocol on simulation. Finally, we confirm the WIDS implemented operation in real environment experimentation.
An Application Customization and Service Composition Method Based on Max Application Template
Authors: Jiang Jing, Pan Zhen-Kuan, Yin Xian-Zhen, Xia Bai-Qiang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

A dynamic application customization and service composition model based on max application template was proposed in this paper. We describe a kind of application’s businesses logic with max application template; in this template a customized application could be derivate according to user’s inputs. Based on the customized application the composed services can be processed to reach user’s personal requirements. In the composition process credit assurance and dynamic-reconfiguration mechanism were used to improve the quality of service. Based on this model the One-Step Service platform DACSC was designed and implemented. The testing results show that application customization and service composition can achieve automatically with few interactions and schedule times then provides the enhancement of QOS.
Transmission of Information through Haptic Interaction
Authors: Koichi Hirota, Yuichiro Sekiguchi
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

This paper describes a novel approach to haptic interface that transmits information through dynamic interaction. The approach is based on the idea of emulating an object that causes dynamic reaction, such as a box with content inside, using a mechanical device. Hence, the device should be designed as an object-oriented and self-contained form that can be handled similarly to the real object. Implementation of a prototype device that materializes this idea is introduced, and a possibility of expanding the idea into various scales of interaction and different modality is also discussed.
Model-Based Self-Abstracting Rule Fuzzy Control
Authors: Jili Zhang, Yongpan Chen, Zhen Lu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Aiming at increasing the performance of fuzzy control and keeping a fuzzy controller maintain an ideal given track to its objective value, and also aiming at finding an easy way to abstract fuzzy control rule set for the complex controlled process, this paper presents a new fuzzy control method, namely model based self-abstracting rule fuzzy control method (MBSAR). The MBSAR takes the one order inertia system as the reference model and abstracts the fuzzy control rules by self-organizing and self-tuning the consequences of each functioning fuzzy control rule both offline and online. A self-tuning rule set of the self-abstracting rules has been built by analyzing the dynamical response process of a controlled object. The simulations show that the MBSAR can decrease the overshoot significantly and has a wonderful control performance, which are better than that of the self-abstracting rule fuzzy control method without model and PI control method.
An Integration of Task and Use-Case Meta-models
Authors: Rémi Bastide
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Although task modeling is a recommended practice in the Human-Computer Interaction community, its acceptance in the Software Engineering community is slow. One likely reason for this is the weak integration between task models and other models commonly used in Software Engineering, notably the set of models promoted by the mainstream UML method. To overcome this problem, we propose to integrate the CTT model of user tasks into the UML, at the meta-model level. CTT task models are used to provide an unambiguous model of the behavior of UML use-cases. By so doing, we also bring the benefit of hierarchical decomposition of use-cases ("extend" and "include" relationships) to CTT. In our approach, CTT tasks also explicitly operate on a UML domain model, by using OCL expressions over a UML object model to express the pre- and post-conditions of tasks.
Perspectives in Concurrency, 1st edition
Authors: Kamal Lodaya, Madhavan Mukund
Venue:  (2009)

Concurrency theory is an important research area within theoretical computer science, with applications in parallel and distributed computing. This book provides an overview of current research in concurrency through state-of-the-art contributions from worldwide experts. Covering contemporary topics, including Petri Nets, Temporal Logics, Program Verification with concurrent threads, Computational Trust, and more, this book presents emerging research in this important field.
Generalizing local and non-local word-reordering patterns for syntax-based machine translation
Authors: Bing Zhao, Yaser Al-onaizan
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

Syntactic word reordering is essential for translations across different grammar structures between syntactically distant language-pairs. In this paper, we propose to embed local and non-local word reordering decisions in a synchronous context free grammar, and leverages the grammar in a chart-based decoder. Local word-reordering is effectively encoded in Hiero-like rules; whereas non-local word-reordering, which allows for long-range movements of syntactic chunks, is represented in tree-based reordering rules, which contain variables correspond to source-side syntactic constituents. We demonstrate how these rules are learned from parallel corpora. Our proposed shallow Tree-to-String rules show significant improvements in translation quality across different test sets.
Identifying direct causal effects in linear models
Authors: Jin Tian
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. Using techniques developed for graphical causal models, we show that a model can be decomposed into a set of submodels such that the identification problem can be solved independently in each submodel. We provide a new identification method that identifies causal effects by solving a set of algebraic equations.
Measuring Emotional Wellbeing with a Non-intrusive Bed Sensor
Authors: Gert Vloed, Jelle Berentsen
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

We examine the possibility of using non-intrusive bed sensor measures to ascertain the emotional wellness of an individual. To this end we did a convergent validation study to determine whether heart rate and respiration measures provided by the bed sensor correlate with self reports through questionnaires. The results show that negative affect and worry tension positively correlate with nocturnal respiration.
Subword Switching Activity Minimization to Optimize Dynamic Power Consumption
Authors: María Carmen Molina, Rafael Ruiz-Sautua, Alberto Del Barrio, José Manuel Mendias
Venue: IEEE Design Test (2009)

Editor's note:This article presents an original high-level synthesis approach that addresses the problem of dynamic power consumption in data-dominated applications. The proposed scheduling and binding algorithms deal with the switching-activity information, at the variable subword level, to reduce the number of commutations.&#x2014;Philippe Coussy, Universit&#x00E9; de Bretagne-Sud
Combining Requirements and Interaction Design through Usage Scenarios
Authors: Hermann Kaindl
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

When the requirements and the interaction design of a system are separated, they will most likely not fit together, and the resulting system will be less than optimal. Even if all the real needs are covered in the requirements and also implemented, errors may be induced by human-computer interaction through a bad interaction design and its resulting user interface. Such a system may even not be used at all. Alternatively, a great user interface of a system with features that are not required will not be very useful as well.Therefore, we argue for combined requirements engineering and interaction design, primarily based on usage scenarios. However, scenario-based approaches vary especially with regard to their use, e.g., employing abstract use cases or integrating scenarios with functions and goals in a systematic design process. So, the key issue to be addressed is how to combine different approaches, e.g., in scenario-based development, so that the interaction design as well as the development of the user interface and of the software internally result in an overall useful and useable system. In particular, scenarios are very helpful for purposes of usability as well.
Communications and Networking in China: 1st International Business Conference, Chinacombiz 2008, Hangzhou China, August 2008, Revised Selected Papers, 1st edition
Authors: Patrick Bond
Venue:  (2009)

This book constitutes the refereed proceedings of the 1st International Business Conference on Communications and Networking in China, ChinacomBiz 2008, held in Hongzu, China, in August 2008. The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers address all current issues on transport networks and infrastructures, video distribution systems and methods and the associated software systems. 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
The Annual Monetary Conditions Index in China and Its Implication
Authors: Tian Guangning
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

In this paper, the authors originally developed annual monetary conditions index based on MCI theory and China's macroeconomic data. The MCI from 1978 to2005 shows the monetary policy's tighten or loose situation and reflect all macroeconomic information. MCI can be used as a monetary policy target for the central bank in China.
Compact propositional encoding of first-order theories
Authors: Deepak Ramachandran, Eyal Amir
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

In this paper we present polynomial-time algorithms that translate First-Order Logic (FOL) theories to smaller propositional encodings than achievable before in polynomial time. For example, we can sometimes reduce the number of propositions to O(|P| + |C|), or O(|P|k ċ log |P|), for |P| predicates of arity k and |C| constant symbols. The guarantee depends on availability of some graphical structure in the FOL representation. Our algorithms accept all FOL theories, and preserve soundness and completeness (sometimes requiring the Domain Closure Assumption). Our experiments show significant speedup in inference with a SAT solver on real-world problems. Our results address a common approach that translates inference and decision problems that originate in FOL into propositional logic, later applying efficient SAT solvers. Standard translation techniques result in very large propositional encodings (O(|P||C|k) for predicates of arity k) that are often infeasible to solve. Our approach scales up inference for many objects, and has potential applications in planning, probabilistic reasoning, and formal verification.