ppxscal/embedding_network huggingface dataset:
Research on Product Case Representation and Retrieval Based on Ontology
Authors: Yan Shen, Xiaopeng Wei, Jianwei Wang
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

Aiming at the problem that no representation can realize completely expression, intelligibility and easy operation, a method of knowledge representation based on ontology is adopted and it is applied to product case. The discrimination of case similarity is the foundation of case retrieval. Considering the influence on similarity from attribute, an improved similarity algorithm is presented. Hierarchical retrieval based on attribute tables is used. Then the best case is properly searched. Finally, a cleaner as an example is provided to illustrate the validity about the case retrieval.
Challenges of Designing Privacy Enhanced Context-Aware Middleware for Assisted Healthcare
Authors: Gautham Pallapa, Sajal K. Das
Venue: Proceedings of the 6th international conference on Smart Homes and Health Telematics (2008)

After more than fifty years of designing computers that require users to adapt to them, we now enter the epoch of human-centric computing, where systems are designed to adapt to users. A primary concern in ubiquitous computing research is to understand the potential relationship between computation and embedded context. Developers currently face challenges in interpreting context and incorporate little support in designing frameworks that help end-users manage their privacy in an intuitive way. In this paper, we investigate context in assisted healthcare, and provide a more comprehensive definition of context. Based on this, we present the major challenges faced by developers in creating privacy enhanced context aware ubiquitous middleware.
Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments
Authors: Philippe Fournier-Viger, Roger Nkambou, André Mayers
Venue: Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts (2008)

Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. For this purpose, many student models have been developed. However to the best of the authors' knowledge there is no model for the evaluation and teaching of spatial reasoning. This paper describes how a knowledge representation model for modeling cognitive processes of learners is applied to represent the knowledge handled in a complex and demanding task, the manipulation of the robotic arm CanadarmII, and more specifically, how a training software for CanadarmII manipulations can benefit from the model to evaluate spatial mental representations and provide customized assistance.
Straw-Like User Interface (II): A New Method of Presenting Auditory Sensations for a More Natural Experience
Authors: Yuki Hashimoto, Masahiko Inami, Hiroyuki Kajimoto
Venue: Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios (2008)

We have proposed a new type of audio-tactile interface called the Straw-like User Interface (SUI) that allowed users to virtually experience the sensations of drinking with straw. The sensations were created based on data of pressure, vibration and sound recorded during drinking with a straw. The device enabled us to develop many unique interfaces, facilitating extension of research fields related to tactile displays, from medical care to entertainment. However, with the previous system, the recorded data were replayed at the same speed without reference to the suction power, and so the sensation became unnatural. In this paper we propose a simple technique to preserve naturalness. We dynamically change the play list in accordance with the user's behavior. We believe that the proposed method provides a simple approach to record-and-replay of audio-tactile information without needing a physical model.
An Efficient Algorithm for Proportionally Fault-Tolerant Data Mining
Authors: Tianding Chen
Venue: Proceedings of the APWeb/WAIM 2007 DBMAN, WebETrends, PAIS and ASWAN international workshops on Advances in Web and Network Technologies, and Information Management (2007)

The frequent pattern mining problem has been studying for several years, while few works discuss on fault-tolerant pattern mining. Fault-tolerant data mining extracts more interesting information from real world data which may be polluted by noise. However, those few previous works either not define the problem maturely or restrict the problem to finding those patterns tolerate fixed number of fault items. In this paper, the problem of mining proportionally fault-tolerant frequent patterns is discussed. Two algorithms are proposed to solve it. The first algorithm, applies FT-Apriori heuristic and performs the idea of finding all FT-patterns with all possible number of faults. The second algorithm, divides all FT-patterns into several groups by their number of tolerable faults, and mines the content patterns of each group respectively. The experiment result shows more potential fault-tolerant patterns are extracted by our approach. Our contribution is offering a different type of fault-tolerant frequent pattern, in those patterns, the number of tolerated faults is proportional to the length of patterns. This gives the user another choice when traditional fault-tolerant frequent pattern mining result can't satisfy them. 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
From Application Domain Models to Tools: The Sketch of a Layered Process/Product Model
Authors: M. Nagl
Venue: Collaborative and Distributed Chemical Engineering. From Understanding to Substantial Design Process Support: Results of the IMPROVE Project (2008)

This section gives an introduction on the relation of the process/product model to tool development. We concentrate on tools offering novel functionality (experience-based, consistency, reactive, see Sect. 1.1 and Chap. 3). We motivate again the challenging task of developing such a comprehensive model. We give a summary how application domain models are structured (for details see Sect. 2.6), and we present how the corresponding information fits the tool construction process. A categorization of open problems related to our preliminary results for a coherent, comprehensive, and uniform model is given at the end of this section. The problems, themselves, are presented in Sect. 6.5. The section also serves as an overview for this chapter. 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
Integration of Computational Intelligence Applications in Engineering Design
Authors: Kostas M. Saridakis, Argiris J. Dentsoras
Venue: Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications (2008)

Several techniques have been proposed recently as a result of the intensive research done in the field of computational intelligence. These techniques seem to act beneficially in a variety of scientific domains by performing better than the conventional methodologies. The current paper focuses on the domain of engineering design, whose demanding nature motivates the research for domain-independent and efficient tools and methodologies. In this context, the application of computational intelligence techniques in engineering design is reviewed and the enhancement of basic design processes such as knowledge representation, optimal solution search and design knowledge re-utilization by soft-computing techniques is described. The purpose of the paper is to present ways that Fuzzy Logic (FL), Genetic Algorithms (GA) and Artificial Neural Networks (ANN) can be beneficially used in engineering design as stand-alone tools or within a stepwise generic methodological approach for parametric engineering design is described, which is compliant with the existing design theory and practice. E
A Model for New Zealand's Identity Verification Service
Authors: Clark Thomborson
Venue: Proceedings of the 1st international conference on Trusted Computing and Trust in Information Technologies: Trusted Computing - Challenges and Applications (2008)

We develop a simple model of the processes by which identity and anonymity are managed by complex systems. We explain New Zealand's recently-proposed Identity Verification Service in terms of our model. We also indicate how our model might be used to guide the architecture of a next generation of trustworthy computing, and how it might be used to define a precise taxonomy of authentication.
Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP
Authors: Paulo R. Ferreira,  Jr., Ana L. Bazzan
Venue: Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence (2008)

This paper addresses distributed task scheduling problems generalized as a distributed version of the Resource-Constrained Project Scheduling Problem (RCPSP) [1]. We apply and evaluate a novel approach for the RCPSP that is distributed and based on theoretical models of division of labor in social insects.
Computer assisted instruction for teaching vocabulary to a child with autism
Authors: Gertrude W. Abramson
Venue:  (2008)

Children with autism have difficulty communicating. Their limited vocabulary reduces their comprehension of language and their use of speech to express thoughts and needs. Increasing vocabulary is important to improve communication skills. These children do not learn language like typical children. They have limited joint attention skills and impaired basic learning skills that impede their communication. Specialized instruction is necessary to help them learn language. They need to be explicitly taught words, phrases, and sentences. Computer assisted instruction (CAI) offers interactive, customizable, and measurable training for learning language. Children with autism can use CAI to learn at home, in a clinic, and in a classroom. It is readily available and affordable and computers are prevalent. CAI offers repetition, predictability, and interesting instruction that can support individual and classroom instructional goals. The complications, considerations, and possibilities of using CAI in a classroom are explored in this single subject investigation. The use of CAI by a child with autism to learn words was investigated. The First Words II software by Laureate Learning Systems was used in a preschool classroom. The case provides a comprehensive description of the participant including his pre-treatment skills, treatment behaviors, and test results. Four research questions were answered. How does CAI that presents pictures of objects impact the acquisition, generalization, and retention of new words by a child with autism? How does text captioning of pictures presented in CAI affect a child with autism? What behaviors help a child with autism learn new words using CAI? How can a child with autism benefit from using CAI in a classroom? Results gathered from the CAI treatment indicate that the participant made progress toward learning new object labels. Additional skills beyond the content delivered by the CAI were also demonstrated by the participant. These skills included increased motivation, strengthened positive relationship with a teacher, improved joint attention, sustained concentration with an instructional task, and verbal and motor imitation. The participant enjoyed using the CAI in the classroom.
Optimistic Erasure-Coded Distributed Storage
Authors: Partha Dutta, Rachid Guerraoui, Ron R. Levy
Venue: Proceedings of the 22nd international symposium on Distributed Computing (2008)

We study erasure-coded atomic register implementations in an asynchronous crash-recovery model. Erasure coding provides a cheap and space-efficient way to tolerate failures in a distributed system. This paper presents ORCAS, Optimistic eRasure-Coded Atomic Storage, which consists of two separate implementations, ORCAS-A and ORCAS-B. In terms of storage space used, ORCAS-A is more efficient in systems where we expect large number of concurrent writes, whereas, ORCAS-B is more suitable if not many writes are invoked concurrently. Compared to replication based implementations, both ORCAS implementations significantly save on the storage space. The implementations are optimistic in the sense that the used storage is lower in synchronous periods, which are considered common in practice, as compared to asynchronous periods. Indirectly, we show that tolerating asynchronous periods does not increase storage overhead during synchronous periods.
Object-Oriented Message-Passing in Heterogeneous Environments
Authors: Patrick Heckeler, Marcus Ritt, Jörg Behrend, Wolfgang Rosenstiel
Venue: Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2008)

Heterogeneous parallel systems integrate machines with different architectural characteristics, such as endianess and word size. To use message-passing in these environments, the data must be translated by the communication layer. Message-passing standards like the Message Passing Interface (MPI) require the user to specify the type of the data sent, such that the communication layer can effect the necessary conversions.We present an object-oriented message-passing library for C++, TPO++, which is capable to communicate in heterogeneous environments. Its functionality includes the MPI 1.2 standard, but it allows the user to communicate any data like objects or Standard Template Library (STL) containers in a type-safe way. It does not require the user to build a type representation explicitly.We compare the performance of heterogeneous TPO++ with Boost.MPI and the C interface of OpenMPI. Our findings are that heterogeneous communication in TPO++ is possible with a very small overhead in latency compared to pure MPI. The performance of TPO++ is considerably better than that of other object-oriented communication libraries.
Next generation Ethernet access networks: GPON vs. EPON
Authors: T. Orphanoudakis, H.-C. Leligou, J. D. Angelopoulos
Venue: Proceedings of the 7th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (2008)

Recently both ITU and IEEE have standardized solutions for Passive Optical Networks operating at gigabit per second line rates and optimized for the transport of packet-based traffic to improve the efficiency of previously standardized broadband PONs, which were based on ATM. The efficiency and performance of PON systems, depends mainly on the implemented medium access protocol. The latter is not part of the standards and left to the implementer, however the standards describe a set of control fields that constitute the tool-set for the MAC operation. In this paper we compare the efficiency and performance of the two systems under as close as possible MAC.
The Design of Intelligent QA Platform Based on Model of Learner's Personality
Authors: Yanhong Hu, Ming Zhao
Venue: Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing (2008)

With the development of network technology, online learning becomes easier. But how to meet the need of learners' personality in network study is still a big problem. In order to support the personalized study better in the network environment, we take the personalized learning system as the research background. The artificial intelligence and cognitive technology were employed in the design and research of intelligent QA platform based on learners' personal model. Such issues as the model building based on learners' personality, and the designing of Intelligent QA Systems based on this model to present adaptive knowledge are mainly explored.
A New Method for Decision Making in the Intuitionistic Fuzzy Setting
Authors: Ludmila Dymova, Izabela Róg, Pavel Sevastjanov
Venue: Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing (2006)

The main problem of known methods for Multiple Criteria Decision Making in the Intuitionistic Fuzzy setting is that they are generally based on the intermediate type reduction. Such approaches lead inevitable to the loss of important information. Another problem is the choice of an appropriate method for the local criteria aggregation taking into account their ranks. The aim of this paper is to present a new method which makes it possible to solve the first problem and facilitates the solution of the second one. The method is based on the Dempster-Shafer Theory (DST). It allows to solve the Multiple Criteria Decision Making problem without intermediate type reduction for different approaches to aggregation of the local criteria. The usefulness of elaborated method is illustrated with known example of Multiple Criteria Decision Making problem.
International Collaborative Learning Experience through Global Engineering Design Projects: A Case Study
Authors: Heriberto Maury-Ramírez, Roger Jesús Pinzón, Ivan E. Esparragoza
Venue: Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering (2008)

This work describes the international collaborative learning experience among students from different institutions in the Americas through a multinational global design project. The case study presented here refers to the conceptual design and prototype fabrication of a portable folding bicycle as an economical and environmentally friendly transportation solution. The paper presents the technological, geographical and cultural challenges of this collaborative initiative, as well as the strategies, methodologies, planning, logistics, and specific tools for communication via Internet used to carry out the project.
Mechanical fault detector in power transmission lines
Authors: Joaquín Rodríguez, Carlos Tello
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

This paper presents the development of a system and a device for the detection of mechanical failure in electric power transmission lines, under oscillating movement, collapse, or short circuit faults in the cable; caused by natural or induced man effects. The system has a remote module hanging on a cable and a central operation module via wireless communications. The remote module has data acquisition; a master micro controller which defines the status of the cable, the ability to add coordinates with the Global Positioning System (GPS) to determine their location, sensing temperature, electric current and acceleration, the latter is based on MEMS technology (Micro Electromechanical Systems), which detects movement in the cable. The central operation module is connected to serial port in a personal computer. With software created in LabVIEW, the user can survey the remote module, ask the historic stored data, assign an identification number and assign global positioning coordinates via wireless.
Electronic Dictionaries and Transducers for Automatic Processing of the Albanian Language
Authors: Odile Piton, Klara Lagji, Remzi Përnaska
Venue: Proceedings of the 12th international conference on Applications of Natural Language to Information Systems: Natural Language Processing and Information Systems (2007)

We intend on developing electronic dictionaries and Finite State Transducers for the automatic processing of the Albanian Language. We describe some peculiarities of this language and we explain how FST and generally speaking NooJ's graphs enable to treat them. We point out agglutinated words, mixed words or `XY' words that are not (or cannot be) listed into dictionaries and we use FST for their dynamic treatment. We take into consideration the problem of unknown words in a lately reformed language and the evolving of features in the dictionaries.
Compressed domain implementation of fuzzy rule-based contrast enhancement
Authors: Camelia Popa, Mihaela Gordan, Aurel Vlaicu, Bogdan Orza, Gabriel Oltean
Venue: Proceedings of the 9th WSEAS International Conference on Fuzzy Systems (2008)

Since the resolution of images increased in the past few years, the requirements for large storage space and fast process, directly in the compressed domain, becomes essential. Fuzzy rule-based contrast enhancement, is a well-known rather simple approach with good visual results, but as any fuzzy algorithm, it is by default nonlinear, thus not straightforward applicable on the JPEG bitstream (zig-zag ordered quantized DCT coefficients). In this paper, we propose an implementation strategy suitable for single input - single output Takagi-Sugeno fuzzy systems with trapezoidal shaped input membership function directly in the compressed domain. The fuzzy sets parameters are adaptively chosen by analyzing the histogram of the image data in the compressed domain, in order to optimally enhance the image contrast. The fuzzy rule-based algorithm requires some threshold comparisons, for which an adaptive implementation, taking into account the frequency content of each block in the compress domain JPEG image is proposed. This guarantees the minimal error implementation at minimum computational cost.
Design of a novel hardware data structure for cryptographic applications
Authors: Hala A. Farouk
Venue: Proceedings of the WSEAS International Conference on Applied Computing Conference (2008)

Over the last two decades there has been a considerable increase in the adoption of security solutions in enterprise networks, e-commerce websites and databases management systems. It is important for companies, banks, government departments and any other institution not only to create a secure connection over the ever-expanding networks but also not to slow down their system throughput by the implementation of these security solutions. Most of the communication security is implemented using cryptographic algorithms. Applications for these algorithms are considered compute-intensive applications. Therefore, cryptographic algorithms are implemented in custom hardware seeking higher performance than the software implementation running on general-purpose processors. In this paper we present a new hardware data structure, namely the Shufflebox. This hardware data structure replaces the simple register file or scratch memory needed in any cryptographic engine to store subkeys, S-box values or just temporary results. The Shufflebox is a rectangular array of bits that can store, XOR and rotate all bits in all directions. It allows efficient implementation of these cryptographic-wise critical operations. The hardware implementation that employs this hardware data structure achieves a speedup between 6x and 18x over conventional implementations.