ppxscal/embedding_network huggingface dataset:
Design of a Clinical Knowledge Base for Heart Disease Detection
Authors: Ki-Hyeon Kim, Ho-Jin Choi
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

As people have interests in their health recently, development of medical domain application has been one of the most active research areas. One example of medical domain application is detection system for heart disease based on electrocardiogram (ECG) which records the electrical activity of the heart over time as wave form. However, detecting heart disease by using only ECG has some disadvantages, so detecting heart disease by using other resources is better way. In order to support detection system which uses several resources, knowledge of each resource domain should be defined. This research constructs knowledge base of ECG and heart disease using semantic web technology, proposes inference engine for heart disease detection, and implements prototype of this system.
Event Processing Middleware for Wireless Sensor Networks
Authors: S. Selvakennedy, Uwe Rohm, Bernhard Scholz
Venue: Proceedings of the 2007 International Conference on Parallel Processing Workshops (2007)

With the growth in the computation capacity of sensor nodes, they are increasingly equipped to handle more complex functions. Moreover, the need to realize the complete loop of sense-control-actuate as the wired sensing facility, demands for more in-network processing. To this end, some primitives related to event data processing can be made available for event-driven applications. In this paper, we propose a middleware to provide efficient basic and higher-level event processing services through collaborative processing. As concrete service task instances, we propose an integrated algorithm that performs both event center localization and area estimation. To the best of our knowledge, this is the first such attempt. Using edge detection as a core middleware module, it is demonstrated that the middleware is able to support accurate estimation services for these event properties.
Research on an Integrated Network Management System
Authors: Lianxing Jia, Wei Zhu, Chenggong Zhai, Yi Du
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02 (2007)

Currently, multiform network management systems and complex network environment lead the network management system from traditional form for special network to multi-functional intelligent network management system. The paper gives an analysis of the requirements and key enabling technologies for the development of integrated network management system. Based on it, a new integrated network management system (INMS) architecture established above each specific network management system (SNMS) is presented. In the end of this paper, an illustrative example is brought forward which is applying this INMS architecture.
Segment Hough Transform -- a Novel Hough-based Algorithm for Curve Detection
Authors: Hanxi Li, Hong Zheng, Yang Wang
Venue: Proceedings of the Fourth International Conference on Image and Graphics (2007)

A new Hough-based algorithm termed segment Hough transform (SHT) is proposed to detect the curve in the binary image. The segment-transform, which is the main idea of the novel approach, makes the curve detection very efficient. Thanks to the chain code termed angle chain code (ACC) as well as the modified direction measurement, the segmentation operation is also considerably fast and precise. Compared with the conventional Hough transform (CHT), our algorithm is dramatically faster (by over 20 times) And when the background is complex, the SHT is about four times faster than the random Hough transform (RHT), Furthermore, the proposed algorithm inherits the high robustness from CHT. In some situations, it is even more accurate. We implement the novel algorithm in an embedded system to estimate passengers flow on the bus. The detection rate is over 95% which indicates it is quite suitable for real-time application.
Application Briefs
Venue: IEEE Computer Graphics and Applications (1981)

A major developmental stumbling block in many industries is the time and expense required to test and analyze mechanical components and structures under various environmental conditions. Each of the components of an automobile, for example, separately and together, must be designed, tested to its stress limit, analyzed, and modified before it can be put into production. With standard techniques, this process often takes as much as eight months. And if the results are negative, extensive retrofitting of the assembly line is required-an expensive proposition. The same problem exists in any industry or application where mechanical devices and structures are placed under constant stress. 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
Basic Theory of Fuzzy Bayesian Networks and Its Application in Machinery Fault Diagnosis
Authors: Hao Tang, Shi Liu
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04 (2007)

Bayesian network is an effective uncertain knowledge representation and reasoning method. Fuzzy sets can be used for expressing fuzzy events or fuzzy objectives in some special region. Combining these two theories, this paper discusses the probability of the fuzzy event and presents a hybrid inference system with fuzzy sets and Bayesian networks which are called "Fuzzy Bayesian Networks (FBNs)". Then a case demonstrates the validity of FBNs in machinery fault diagnosis.
Search words and geography
Authors: Mark Sanderson, Yu Han
Venue: Proceedings of the 4th ACM workshop on Geographical information retrieval (2007)

In this paper, we present a preliminary study of geographic query words, which users' tend to re-use. The categories of the words demonstrate that geographically related words take up the largest proportion of all repeated words. These geo-words refer to a range of spatial areas. In addition, it was found that different geo-word types are re-used in different ways by users.
Developing a foundational course in information systems
Authors: Gary B. Randolph
Venue: Proceedings of the 8th ACM SIGITE conference on Information technology education (2007)

This paper describes one university's approach to building a foundational course in information systems that (1) prepares students with technology skills for subsequent courses, (2) satisfies students with sufficient rigor and real-world application, and (3) corresponds closely to the IT model curriculum.
Descriptological foundations of information technologies
Authors: V. N. Red'Ko, I. V. Red'Ko
Venue: Cybernetics and Systems Analysis (2007)

The theses of compoundness, descriptiveness, and descriptologicality are proved. The conformance of these theses with the reversibility principle is substantiated. Logical-subject structures of information-technological systems are disclosed on this basis. Descriptological foundations of information technologies are created.
MANET ID: Improvement on Group Communications and ZRP
Authors: Hun-Jung Lim, Soo-Jin Jung, Jong-Hyouk Lee, Young-Ju Han, Tai-Myoung Chung
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

A Mobile Ad hoc NETwork (MANET) could establish a communication in network infrastructure-less places. In an ad hoc network, a basic IPv6 address auto-configuration mechanism has an address allocation problem. A number of address allocation mechanisms have been suggested. However, mobile node(MN)s have high mobility and random address. Therefore, they do not guarantee fixed and shared network prefix. To guarantee equality of network prefix among connected MNs, we propose a MANET identifier (MANET ID). This scheme allows MNs to share the same MANET ID using a creation & negotiation phase. By sharing an equal MANET ID, we achieve a number of enhancements for existing ad hoc network technologies: Enhanced group communication, avoiding duplicate address detection storms, and enhanced zone routing protocol (ZRP).
Distributed multi-lingual content based text mining DML - CBTM
Authors: S. Chitrakala, D. Manjula
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

With the explosion in information over the internet, extracting knowledge from media-based data in the form of images, audio streams and videos replacing textual ones is getting more complex. So a comprehensive methodology covering all forms of data are needed which is able to provide the contents of the data in a short period of time. Text mining tools and algorithms are becoming increasingly popular with many of the books, texts and documentation getting converted to soft-copy versions and being made globally accessible. Though this trend is predominantly in English language, the need has arisen for such an approach for other languages too, as many of the ancient and out-of-print texts in different languages are getting 'softer' versions for preserving and extraction of Information and Knowledge. In the context of Indian languages this need is more pronounced as many texts in different languages, scripts, different material forms ranging from palm leaves to stone cutting and dialects are available having wealth of information in variety of disciplines. In this paper, we propose a novel content-based approach and demonstrate for textual data in the first instance, to be termed as CBTM (Content-Based Text-Mining) for knowledge discovery of multilingual texts. The proposed methodology employs a content based approach using keywords and patterns stored in the form of gif strings so that extensions to other forms of data are possible. Potential applications of this approach in a distributed environment are also highlighted. We have used the advertisements in newspapers for demonstrating the system.
Implantable Wireless Sensor Network to Monitor the Deep Body Temperature of Broilers
Authors: Hyun Ho Yang, Yeong Hwan Bae, Wongi Min
Venue: Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications (2007)

A radio telemetry system was fabricated to continuously measure the deep body temperature (DBT) of broilers as an effort to monitor the occurrences of possible poultry diseases. It was shown that the DBT of broilers could be measured with an accuracy of \pm 0.1C. Daily fluctuation of DBT in case of a 25 days old broiler was evaluated. To develop a system which can control the environment of poultry housing in real time based on DBT measurements, we proposed the design criteria of a dedicated receiver unit.
Generation of Prime Implicants by Direct Multiplication
Authors: J. G. Bredeson
Venue: IEEE Transactions on Computers (1971)

This correspondence shows that the Necula [1] and Slagle, Chang. and Lee [2] methods for determining prime implicants are a mechanization of a method first given by Nelson [3], i. e., generating of all prime implicants by direct expansion of a conjunctive form to a disjunctive form.
A Method for Image Local-Difference Visualization
Authors: E. Baudrier, A. Riffaud
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

As ancient documents are being digitized, systems for retrieving documents or images can now be found in Digital Libraries. With regard to illustrations, the content-based image retrieval is difficult and the user often needs to check visually the similarity of the re- trieved images. This process is not entirely reliable since very similar images (impressions, ornamental let- ters) can actually be printed from distinct stamps. No other visualization method exists than the map of pixel- to-pixel gray level difference (PPDMap). We propose here a method that evaluates locally the differences and allows the user to visualize them. It is based on a local adaptation of the Hausdorff distance. Our method per- formance is successfully compared to the PPDMap and an expert difference evaluation assesses our method re- liability.
On Multivalued Multithreshold Networks Composed of Conventional Threshold Elements
Authors: O. Ishizuka
Venue: IEEE Transactions on Computers (1977)

In this paper, we consider multivalued multithreshold networks (MVTN's) to realize multivalued logic functions. Transformations of multivalued functions into multivalued multithreshold functions, and network syntheses for MVTN's are described. There are three emphases on the MVTN's:1) any arbitrary multivalued function can be realized by an MVTN, 2) an MVTN can be composed of conventional threshold elements, and 3) various synthesis procedures for binary multithreshold networks can be applied to MVTN's.
Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network
Authors: Antonia Azzini, Stefania Marrara
Venue: Proceedings of the 18th International Conference on Database and Expert Systems Applications (2007)

Neuro-genetic systems are biologically inspired com- putational models that use evolutionary algorithms (EAs) in conjunction with neural networks (NNs) to solve prob- lems. They are especially useful in classification problems in which classifier systems are not able to provide easy an- swers. In this paper a novel neuro-genetic approach is used in order to predict a known classification problem, related to dermatology diseases
Towards automated network management: network operations using dynamic views
Authors: Xu Chen, Z. Morley Mao, Jacobus van der Merwe
Venue: Proceedings of the 2007 SIGCOMM workshop on Internet network management (2007)

We analyze data from a Tier-1 ISP that reflect the dynamic operational tasks performed in the ISP network to build a holistic view of configuration management operations. We observe that in addition to commands that lead to persistent configuration changes, virtually all management tasks also involve status-checking commands that do not change the configuration, but allow the operator to verify some router specific state. Based on this observation we model configuration modifications using automatically generated deterministic finite automata (DFA), where a state represents the configured behavior of an interface and an edge indicates the operations performed on the interface either to fulfill a specific task or to check the status of the router. The DFA model captures common configuration tasks derived by our analysis and their ordering and dependency. We argue that composing DFAs is a (small) step towards enabling operators to reason about the operational state of the network, as well as enabling tools for automated network management.
Study on Ontology-Based Apriori Algorithm Applying to Emergency Decision System
Authors: Hongwei Xie, Xueli Yu, Juanli Li, Xiaobo Wu
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01 (2007)

The paper proposes an optimized Apriori mining al- gorithm based on ontology by contrast with traditional data-mining ones, which could mine data on the high- level. The algorithm is based on the domain and back- ground knowledge in what the ontology describes. And we use the algorithm in the fire protection emergency decision system. The experiment result shows that ap- plying the algorithm can expose more exact certainty rules and provide more meaningful decision sugges- tions for decision-maker.
A Dynamic Price Model with Demand Prediction and Task Classification in Grid
Authors: Xiangang Zhao, Liutong Xu, Bai Wang
Venue: Proceedings of the Sixth International Conference on Grid and Cooperative Computing (2007)

In the market-oriented Grid systems, price management is one of the significant parts, which is used to balance the resource load and adjust the profits of resource providers. This paper proposes a dynamic price model based on demand prediction and task classification. We apply Markov chain to predict the future demands of grid resources and propose a resource price-adjusting mechanism based on the future demands, which takes into the interdependence of price and demand into consideration. Therefore, the mechanism can balance resource loads and guarantee the profits of resource providers at the same time. In addition, we classified the tasks into two categories: exclusive tasks and shared tasks. According to the differences between them, we provide two different task-pricing strategies. Based on these, we introduce a novel task-pricing mechanism, which takes serving time, the workload and the type of the task into consideration at the same time. Compared with timebased pricing model, it is more reasonable and more feasible. Simulation results show the applicability and effectiveness of our work.
Fast and Accurate Detection of Document Skew and Orientation
Authors: S. J. Lu, J. Wang, C. L. Tan
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

This paper presents a document skew and orientation de- tection technique. The proposed technique estimates docu- ment skew and orientation based on the observation that text images normally hold a large amount of equidistant in- terline spacings and the number of character ascenders is statistically much larger than that of character descenders. Given a document image with arbitrary skew and orien- tation, white run histograms are first constructed through scanning documents in horizontal and vertical directions. Document skew is then estimated by using the white runs that exactly span the interline spacing. Lastly, document orientation is determined according to the numbers of char- acter ascenders and descenders, which are detected by us- ing the white runs that cross the interline spacing and lie over character ascenders and descenders. Experiments show that the proposed technique is fast, accurate, and ca- pable of detecting arbitrary document skew and orientation.
Illumination-robust face recognition using ridge regressive bilinear models
Authors: Dongsoo Shin, Hyung-Soo Lee, Daijin Kim
Venue: Pattern Recognition Letters (2008)

The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be much bigger than the inter-person variation. This paper proposes an illumination-robust face recognition by separating an identity factor and an illumination factor using symmetric bilinear models. The translation procedure in the bilinear model requires a repetitive computation of matrix inverse operations to reach the identity and illumination factors. This computation may result in a non-convergent case when the observation has noisy information or the model is overfitted. To alleviate this situation, we suggest a ridge regressive bilinear model that combines the ridge regression into the bilinear model. This provides a number of advantages: it stabilizes the bilinear model by shrinking the range of identity and illumination factors appropriately and improves the recognition performance. Experimental results show that the ridge regressive bilinear model significantly outperforms other existing methods such as the eigenface, quotient image, and the bilinear model in terms of the recognition rate under a variety of illuminations.
Global Optimization in Any Minkowski Metric: A Permutation-Translation Simulated Annealing Algorithm for Multidimensional Scaling
Authors: J. Fernando Vera, Willem J. Heiser, Alex Murillo
Venue: Journal of Classification (2007)

It is well known that considering a non-Euclidean Minkowski metric in Multidimensional Scaling, either for the distance model or for the loss function, increases the computational problem of local minima considerably. In this paper, we propose an algorithm in which both the loss function and the composition rule can be considered in any Minkowski metric, using a multivariate randomly alternating Simulated Annealing procedure with permutation and translation phases. The algorithm has been implemented in Fortran and tested over classical and simulated data matrices with sizes up to 200 objects. A study has been carried out with some of the common loss functions to determine the most suitable values for the main parameters. The experimental results confirm the theoretical expectation that Simulated Annealing is a suitable strategy to deal by itself with the optimization problems in Multidimensional Scaling, in particular for City-Block, Euclidean and Infinity metrics.
The MSFC Image Data Processing System
Authors: R. M. Wilson
Venue: Computer (1977)

The image processing system has become an invaluable tool for today's scientists and engineers. This man/machine system is typically centered around a large digital computer and accompanied by those special image-processing devices and techniques that are required to give the user an ability for restoring distorted images, reducing image noise content, and making special measurements on the data on an ad hoc basis. One such system is described here.
Remote Controlled Group Behavior for Widely Spreaded and Cooperative Mobile Robots in Wireless Sensor Network Environment
Authors: Laxmisha Rai, Soon Ju Kang
Venue: Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (2007)

In this paper, we present the experiments with robots in a wireless sensor network environment to support intelligent generation of group behaviors. We propose real-time software architecture in a wireless sensor network (WSN) environment for practical applications. The architecture is a layered architecture including decision making, knowledge processing, execution, and communication and sensor/actuator layers. The proposed architecture is tested for the multi-robot environment, where the robots are expected to exhibit group behaviors. The rules are written in CLIPS expert system tool to perform intelligent behavior generation and dynamic reasoning so as to make the behaviors more realistic.
On the Number of Permutations Performable by the Augmented Data Manipulator Network
Authors: G. B. ,  III Adams
Venue: IEEE Transactions on Computers (1982)

The Augmented Data Manipulator (ADM) network has been proposed as an interconnection network for SIMD machines. As one measure for comparing the ADM network to multistage cube networks, the number of distinct data permutations performable in a single pass through the ADM is examined. Techniques are given to count the number of settings of any stage of the network which are permutations. Upper and lower bounds on the number of distinct permutations performable by the network are proven.
New Interfaces at the Touch of a Fingertip
Authors: Steven J. Vaughan Nichols
Venue: Computer (2007)

Touch screens offer the promise of a more intuitive interface that makes it easier for multiple users to work together on the same machine and that can save valuable space by eliminating physical keyboards on small mobile devices.