ppxscal/embedding_network huggingface dataset:
Frequency of admittance and probability of inpatient treatment: experience of emergency department, hospital Universiti Kebangsaan Malaysia
Authors: Noriszura Ismail, Zatul Iradah Abdul Karim, Saiful Hafizah Jaaman, Noriza Majid
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

Recently, the number of Emergency Department (ED) visits in Malaysia has climbed dramatically and as a result causing overcrowding in such department. Overcrowding occurs when all rooms, stretchers and chairs in the ED are full with sick people waiting for a long period of time to receive emergency care. The main factors contributing to this state of affair are the increasing number of unexpected patients, the lack of staffs and the lack of inpatient beds. Overcrowding has a significant negative effect on the patient's safety, comfort and satisfaction in addition to depicting the inability of emergency staffs to care for patients. Based on past studies, statistics have shown that the number of patients frequently admitted to the ED were patients injured in road accidents. This study aims to develop two models for solving overcrowding in the ED. The first will be applied to estimate the frequency of admittance and its relationship to the contributing factors, whereas the latter will be employed to estimate the probability of receiving inpatient treatment once the patients are already admitted to the ED. The samples are collected from the experience of the Emergency Department, Hospital Universiti Kebangsaan Malaysia (HUKM) and they are analyzed using regression models. Poisson regression is used for the first model whereby the factors considered are the patient's age, gender, race and admittance date. The result may be utilized by the hospital management to predict the frequency of admittance based on the contributing factors. Logistic regression is utilized in the second model to identify the probability of receiving inpatient treatment after being admitted to the ED. The result may be employed by the hospital management to prepare and provide sufficient emergency beds and staffs especially for inpatient treatment. The contributing factors studied in the second model are the same as the first model.
Long term data storage issues for situational awareness
Authors: John McHugh
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

Network traffic archives are useful for a number of purposes ranging from forensic studies to retrospective studies of the evolution of network traffic characteristics. The sheer volume of data that might be useful, if retained, imposes stresses on data storage and management systems. This is exacerbated by the fact that a substantial portion of network traffic is essentially noise and is interesting primarily at an aggregate level as the archive ages, while the remainder may remain interesting at the packet or flow level for an indefinite period. This paper discusses two cases, high volume scans and very infrequent traffic, where lossy compression may be applied to make substantial reductions in the volume of data retained while minimizing the risk of loosing interesting records. In addition, it discusses data structures, based of space and time efficient hashing methods that can be used to index network data using very large, sparse, index spaces such as those presented by IPv6 or by connection tuples that contain multiple IP addresses, along with service and protocol information.
Tool wear monitoring by detecting the cutting force signal using C++ and VB languages
Authors: A. G. Jaharah, A. Sayuti, M. Z. Nuawi, C. H. Che Hassan, R. Ramli, Z. Yaakob
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

This paper presents the monitoring of tool wear during turning process by on-line detecting and analyzing the cutting force signals. In the study the main factor to be considered is the cutting tool failure in terms of flank wear land (VB). Program codes were developed for monitoring the cutting tool using C++ and VB languages, because C++ is similar to machine language. The turning tests were carried out at two different of cutting speed (180 m /min and 280 m /min), and various feed rate and depth of cut when turning work material Titanium 64 with CBN cutting tool. The cutting force signals were analysed using the developed software (C++ and VB) and I-kaz 3D. The I-kaz 3D coefficient was found decreases with increasing in VB value in all cases studied. Therefore the method developed is suitable for monitoring the progress of wear in the range of study for that particular combination of work material and cutting tool.
Performance measurement over Mobile WiMAX/IEEE 802.16e network
Authors: Dongmyoung Kim, Hua Cai, Minsoo Na, Sunghyun Choi
Venue: Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks (2008)

WiBro(Wireless Broadband) is a Korean version of Mobile WiMAX/IEEE 802.16e system, which is designed for mobile broadband wireless access. Being a subset of IEEE 802.16e, WiBro employs orthogonal frequency division multiple access (OFDMA) and time division duplexing (TDD) schemes operating at 2.3 GHz bands. In mid 2006, the world first commercial Mobile WiMAX service, based on WiBro specification, started in Seoul, Korea. In this paper, we analyze the performance of commercial WiBro networks through traffic measurements. Many experiments are conducted in the various environments. We analyze the link capacity when the user datagram protocol (UDP) packets from multiple users fully utilize wireless links. We also analyze goodput performance with transmission control protocol (TCP) as well as round trip time performance. The measured performances are compared with those of HSDPA (High-Speed Downlink Packet Access) which is a competing system of Mobile WiMAX. We found that the RTTs of WiBro and HSDPA are very large compared with conventional data networks, e.g., Ethernet or Wireless LANs. Furthermore, it is shown that the user-perceived performance is limited by such long round trip times when TCP is utilized. It motivates us to improve round trip time performance of WiBro system. Finally, we analyze the VoIP performance and the performance when the user moves around the whole city.
Design doctorate in computing: a defence of "doing cool stuff"
Authors: Edwin Blake
Venue: Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association (2009)

This position paper argues that it is time to extend the notion of worthwhile scholarship in Computer Science to embrace Design and to award doctorates of Design. There has been a concerted effort to place Computer Science on a firm empirical footing as Experimental Computer Science (ECS) [1]. The essential method of ECS is to built artefacts and then evaluate them experimentally [2][3]. An examiner of a doctorate in such research tends to look for a unified proposition that is defended by argument. The dissertation is expected to contain a coherent theory or thesis that is defended by means of facts and reasoning. It will have a theoretical insight which is validated by artefacts which play the role of exemplars or testbed. The real contribution is the theoretical insight. However it does seem artificial to require a proper experimental investigation of the effects of an artefact, when the artefact in itself is the thing of creative interest and passion. It seems that ECS does not pay enough attention to "Design". In this I am echoing Fred Brooks: "the scientist builds in order to study; the engineer studies in order to build" [4]. Computer Science derives from at least three disciplines, each with a different epistemology and methods: mathematics, experimental science and design or engineering [5]. As Matti Tedre [6] succinctly puts it: "It is notoriously difficult to conduct research in the intersection of research traditions without making a mess of it". The question here is how to do good design and get recognition for it. It is apparent that Computer Scientists are simply not accepting the calls of ECS. A repeat [7] (after twelve years) of the Tichy et al. [3] survey of ACM publications showed that in "Design and Modelling" papers still lacked empirical validation.
Towards context sensitive domain specific languages
Authors: Paul Laird, Stephen Barrett
Venue: Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009) (2009)

We propose the development of a framework for the dynamic context sensitive interpretation of Domain Specific Languages. Domains often contain abstractions, the interpretation of which change in conjunction with changes in the domain or changes in the context in which the program executes. In a scenario where domain assumptions encoded in the DSL change, programmers must still work with the existing DSL, and therefore take more effort to describe their program or sometimes fail to specify their intent. In such changing circumstances DSLs risk becoming less fit for purpose. We seek to develop an approach which makes a DSL less restrictive, maintaining flexibility and adaptability to cope with changing or novel contexts without reducing the expressiveness of the abstractions used.
Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites
Authors: Chia-Chi Sun, Grace T. R. Lin
Venue: Expert Systems with Applications: An International Journal (2009)

Taking into consideration technology acceptance factors, website service quality and specific holdup cost factors, this research explores how shopping websites to establish their competitive advantages through these dimensions. We begin with an examination of the literature on shopping websites about its competitive advantages upon which we propose a conceptual framework. Then this research adopts the fuzzy TOPSIS as the analytical tool that determines the weights of each criterion. Fuzzy theory provides a proper tool to encounter with uncertainties and complex environment. The purpose of this paper is to use the fuzzy TOPSIS method based on fuzzy sets in solving MCDM problems. From our research results, the security and trust are the most important factors for improving the competitive advantage of shopping website. Moreover, the PCHome and Yahoo Taiwan rank the first two positions for shopping websites. This paper draws on the research results for implications of managerial practice, and then suggests some empirical tactics in order to enhance management performance for the website shopping industry.
Evolution and governance of the biotechnology and pharmaceutical industry of China
Authors: Kai Wang, Jin Hong, Dora Marinova, Liang Zhu
Venue: Mathematics and Computers in Simulation (2009)

The high-speed growth of China's biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China's biotechnology industry has achieved tremendous extension both in scale and structure, the strengths it has gained from achievements in research and development activities have been significantly weakened in relation to processes of commercialization. After examining the definition of China's biotechnology industry as well as its evolution, the authors of this paper employ Actor-Networks Theory as a basic theoretical framework to reveal how China's biotechnology industry develops in the form of evolving networks within the country's social context and to identify what kinds of relationships exist among the relevant factors. Our hope is to provide guiding insights for improving the governance of China's biotechnology industry both in policy and in management practices.
Hardware-software co-design of a speech translation embedded system
Authors: Shun-Chieh Lin, Jia-Ching Wang, Hsueh-Wei Yang, Jhing-Fa Wang
Venue: Journal of Embedded Computing (2009)

Previous research has shown that there are two architectures for speech-to-speech translation (S2ST) system implementation. One is client-server based systems that are built on the server computer, which means they are not available anytime or anywhere. The other is portable stand-alone devices, which lack real-time performance. Therefore, this work presents a hardware-software co-design of a speech translation embedded system for portable S2ST applications. This system is characterized by small size, low cost, real-time operation, and high portability. In order to realize the proposed S2ST system, we have designed the ARM-based system-on-a-programmable-chip (SoPC) architecture, the speech translation intellectual property, and the software procedures of the proposed SoPC. The entire design was implemented on ALTERA EPXA10. The English-to-Mandarin translation process can be completed within 0.5 second at a 40 MHz clock frequency with 1,200 translation patterns. The maximum frequency is 46.22 MHz, and the usage of logic elements is 19,318 (50% of the total number of logic elements of the EPXA10 device).
The Expected Value of Imperfect Information to Fuzzy Programming
Authors: Mingfa Zheng, Guoli Wang, Guangxing Kou, Jia Liu
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

The paper is concerned with finding the expected value of imperfect information to two-stage fuzzy programming. In this paper we firstly present the definition which is the sum of pairs expected value, then obtain the definition of expected value of imperfect information based on the concept, and discuss its rationality. In addition, several numerical examples are also given to explain the definitions. The results obtained in this paper can be used to fuzzy optimization as we design algorithm to estimate the value of imperfect information.
3C-Drive: New Model for Driver's Auto Evaluation
Authors: Juliette Brezillon, Patrick Brezillon, Charles Tijus
Venue: Proceeding of the 2009 conference on Information Modelling and Knowledge Bases XX (2009)

Initial training, which concludes by a driving license, is insufficient because new drivers do not know how to contextualize the learned procedures into effective practices. Our goal is to improve the driver's Situation Awareness, i.e. the way in which the driver perceives events in the environment, and the projection of their status in a close future. More precisely, our concern is the way in which the driver evaluates his own competences. Our aim is to make the driver realize his drawbacks and help him to correct them. For this, first, we model drivers' behavior along two approaches, that is, local and global approaches, in order to have a driver model as exhaustive as possible. Second, we educate the driver, helping him to realize his driving's drawbacks. We present in this paper the results of a specific study on driver classification based on the two approaches.
Design & development of an automated (robotic) snapping, banding & sorting system
Authors: Ussama Javed Rai, Abbas Dehghni
Venue: Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation (2009)

The paper summarizes the details of the design & development of an automated (robotic) snapping/cutting, banding & sorting system for mixed size, shape and pattern labels used for various applications. The project was a University/Industry collaboration to automate an aspect of a production line to increase the production efficiency. The specific problem to solve was to identify and remove bottlenecks in a semi-automated manufacturing process. Areas of particular concern were block cracking/snapping mechanism, handling of loose stacks of labels, banding & sorting systems, linkages between machine stages, timing & speed of the system and finally the layouts of the sheets. The project also involved a detailed investigation of the current machinery and production processes at the specific bottleneck stage to identify all sorts of problems in production whether they are related to the complexity of the designs of layouts or speed and timing of the system.
A hybrid genetic algorithm for a variant of two-dimensional packing problem
Authors: Jin Kim, Byung-Ro Moon
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

A variant of two-dimensional packing problem was given in the GECCO'2008 competition. This paper describes the genetic algorithm that produced the best result and thus won the No. 1 prize. As the problem is naturally represented by a two-dimensional chromosome, two-dimensional crossovers are used to generate more diverse chromosomes and effectively maintain geographical linkage among genes. We developed a local search heuristic based on the breadth-first search algorithm; we describe how to implement the heuristic efficiently using problem-specific knowledge. The local search was combined with a steady-state genetic algorithm and the combination showed strong synergy.
Novel database architecture and signaling scheme for IP-based heterogeneous wireless access interworking
Authors: Peyman TalebiFard, Victor C. M. Leung
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

Next generation heterogeneous wireless networks are expected to interwork with IP-based infrastructures. The IP Multimedia Subsystem (IMS) is an open, standard based solution that merges the Internet with Third Generation (3G) cellular networks. Attainment of a unified logical database is one of the key aspects that promote deployment of IMS. Home Subscriber Server (HSS) as an evolved version of Home Location Register (HLR) is one of the key components of IMS. In deploying HSS as a central repository database, in a fully overlapped heterogeneous network setting, changes of access mode are very frequent and conveying this information to HSS imposes excessive signaling load and delay. In our proposed scheme we introduce an Interface Agent (IA) for each location area that that caches the location and information about the access mode through which a user can be reached. This method results in significant amount of signaling cost savings, hence a better delay performance.
Nighttime vehicle light detection on a moving vehicle using image segmentation and analysis techniques
Authors: Yen-Lin Chen
Venue: WSEAS Transactions on Computers (2009)

This study proposes a vehicle detection system for identifying the vehicles by locating their headlights and rear-lights in the nighttime road environment. The proposed system comprises of two stages for detecting the vehicles in front of the camera-assisted car. The first stage is a fast automatic multilevel thresholding, which separates the bright objects from the grabbed nighttime road scene images. This proposed automatic multilevel thresholding approach provide the robustness and adaptability for the system to operate on various illuminated conditions at night. Then the extracted bright objects are processed by the second stage - the proposed knowledge-based connected-component analysis procedure, to identify the vehicles by locating their vehicle lights, and estimate the distance between the camera-assisted car and the detected vehicles. Experimental results demonstrate the feasibility and effectiveness of the proposed approach on vehicle detection at night.
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
Authors: Ryan Prescott Adams, Iain Murray, David J. C. MacKay
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian process is a useful way to place a prior distribution on this intensity. The combination of a Poisson process and GP is known as a Gaussian Cox process, or doubly-stochastic Poisson process. Likelihood-based inference in these models requires an intractable integral over an infinite-dimensional random function. In this paper we present the first approach to Gaussian Cox processes in which it is possible to perform inference without introducing approximations or finitedimensional proxy distributions. We call our method the Sigmoidal Gaussian Cox Process, which uses a generative model for Poisson data to enable tractable inference via Markov chain Monte Carlo. We compare our methods to competing methods on synthetic data and apply it to several real-world data sets.
Component-based records: A novel method to record transaction design work
Authors: L. Ding, M. Giess, Y. M. Goh, C. A. McMahon, U. Thangarajah
Venue: Advanced Engineering Informatics (2009)

The growing pressures from global competitive markets signal the inevitable challenge for companies to rapidly design and develop new successful products. To continually improve design quality and efficiency, companies must consider how to speed design processes, minimise human-errors, avoid unnecessary iterations, and sustain knowledge embedded in the design process. All of these issues strongly concern one topic: how to make and exploit records of design activities. Using process modelling ideas, this paper introduces a new method called component-based records, in place of traditional design reports. The proposed method records transaction elements of the actual design processes undertaken in a design episode, which aims to continually improve design quality and efficiency, reduce designers' workload for routine tasks, and sustain competitiveness of companies.
Towards High-Performance Word Sense Disambiguation- Combining Rich Linguistic Knowledge and Machine Learning Approaches
Authors: Jinying Chen
Venue:  (2007)

Supervised word sense disambiguation (WSD) for truly polysemous words (in contrast to homonyms) is difficult for machine learning, mainly due to two problems: the lack of sense-tagged training data and the sparsity of the matrix of observed instances vs. features. At the same time, high accuracy is necessary for WSD to be beneficial for high-level applications, such as information retrieval, question answering, and machine translation. This work addresses the above two problems through combining rich linguistic knowledge and machine learning methods. First, it proposes and demonstrates empirically evidence that careful design and generation of linguistically motivated features help to alleviate the data sparseness inherent in WSD. A state-of-theart supervised system for verb sense disambiguation was introduced. Exploration in three specific aspects of feature generation was discussed and shown to elevate the system accuracy to top-level. It also shows the effectiveness of active learning in the creation of more labeled training data for supervised WSD - reducing the required training data by 1/2 to 3/4 when learning coarse-grained English verb senses. The book is addressed to researchers in Computer and Information Science and Computational Linguistics. 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
Parallel finite difference method for diffusion equations
Authors: Bin Zheng, Qinghua Feng
Venue: Proceedings of the 15th american conference on Applied mathematics (2009)

In this paper, we derive a class of alternating group explicit finite difference method (AGE) for diffusion equations based on eight asymmetric schemes and the concept of domain decomposition. The AGE method is verified to be unconditionally stable, and has the property of parallelism. Results of numerical examples show the AGE method is of high accuracy.