ppxscal/embedding_network huggingface dataset:
Fundamental Needs in Intelligent Environments: Specificities for Older Adults
Authors: Sebastien Duval, Christian Hoareau, Hiromichi Hashizume
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops (2008)

Older adults have specific needs and abilities reflected by their decline, activities, and use of technology. First, we present their cognitive, physical, physiological, and sensory characteristics, and their impact on fundamental needs. Then, we suggest and discuss dedicated systems exploiting intelligent environments to support physical and mental health, prevent falls and alert, multiply social contacts, and ensure self-esteem. Besides, proper design of arbitrary services must incorporate safety, integration, variabili ty, senses, acceptance, and memory. Our most signifi cant contribution is to provide the first overview of older adults’ specific needs in intelligent environments.
Multigrid methods for discrete elliptic problems on triangular surfaces
Authors: Ralf Kornhuber, Harry Yserentant
Venue: Computing and Visualization in Science (2008)

We construct and analyze multigrid methods for discretized self-adjoint elliptic problems on triangular surfaces in $${\mathbb{R}^3}$$. The methods involve the same weights for restriction and prolongation as in the case of planar triangulations and therefore are easy to implement. We prove logarithmic bounds of the convergence rates with constants solely depending on the ellipticity, the smoothers and on the regularity of the triangles forming the triangular surface. Our theoretical results are illustrated by numerical computations.
Model of electronic data interchange for Brazilian port system
Authors: Andréa Lucia Braga, José Luiz Antunes De Almeida, Eduardo Mário Dias, José Roberto Castilho Piqueira
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

Globalization demanded modernization of ports, mainly in what concerns to international trading and beginning the process of modernization with the Port of Santos equalized Brazil with the developed countries whose mercantile environments are computerized, efficient and safe. Advances in Information Technology make it possible allowing the processing and the exchanging of electronic documents among companies, by transmission of structured messages through computer, replacing the manual input and output of data and resulting efficiency, reliability and cost reduction.
Quantitative analysis of indexed publications on seventeen model organisms in nine countries, from 1974 to 2006
Authors: Carlos E. Winter
Venue: Journal of the American Society for Information Science and Technology (2008)

Developed countries have an even distribution of published papers on the seventeen model organisms. Developing countries have biased preferences for a few model organisms which are associated with endemic human diseases. A variant of the Hirsch-index, that we call the mean moh-index (&ldquo;model organism h-index&rdquo;), shows an exponential relationship with the amount of papers published in each country on the selected model organisms. Developing countries cluster together with low mean moh-indexes, even those with high number of publications. The growth curves of publications on the recent model Caenorhabditis elegans in developed countries shows different formats. We also analyzed the growth curves of indexed publications originating from developing countries. Brazil and South Korea were selected for this comparison. The most prevalent model organisms in those countries show different growth curves when compared to a global analysis, reflecting the size and composition of their research communities. &copy; 2008 Wiley Periodicals, Inc.
Fast and Accurate Statistical Static Timing Analysis with Skewed Process Parameter Variation
Authors: Lin Xie, Azadeh Davoodi
Venue: Proceedings of the 9th international symposium on Quality Electronic Design (2008)

This paper presents a fast and accurate statistical static timing analysis method that supports skewed non-Gaussian process parameter variations. First, we propose modeling of non-Gaussian sources of variation using a Skew-Normal random variable which can represent a large class of non-Gaussian distributions such as Log-Normal and Poisson. Second, we present a linear gate delay model in terms of this Skew-Normal as well as Gaussian parameters. Third, we approximate arrival times as skewed random variables in an effort to simply capture the shape of the arrival times without loss of accuracy. A proposed linear encoding of skewed arrival times enables computing the exact analytical expression for the MAX of arrival times as well as for their first three moments which can be evaluated in an efficient manner. Overall, calculation of the MAX operation is done efficiently (i.e., comparable to the fastest-known Gaussian linear approximation of Clark) with high accuracy and restriction-free for a realistic representation of non-Gaussian process parameters.
Using DLSim 3: a scalable, extensible, multi-level logic simulator
Authors: Richard M. Salter, John L. Donaldson
Venue: Proceedings of the 13th annual conference on Innovation and technology in computer science education (2008)

Students of Computer Organization should be able to "learn by doing" at all levels of computer design. DLSim 3 is a multilevel simulation system that provides a unified platform for studying system structure, from low level combinational and sequential circuits, through design of a complete CPU. Using DLSim 3, students recognize the uniformity of system structure, as well as the principles of abstraction that link the various levels of design.
Performance of a speculative transmission scheme for scheduling-latency reduction
Authors: Ilias Iliadis, Cyriel Minkenberg
Venue: IEEE/ACM Transactions on Networking (TON) (2008)

Low latency is a critical requirement in some switching applications, specifically in parallel computer interconnection networks. The minimum latency in switches with centralized scheduling comprises two components, namely, the control-path latency and the data-path latency, which in a practical high-capacity, distributed switch implementation can be far greater than the cell duration. We introduce a speculative transmission scheme to significantly reduce the average control-path latency by allowing cells to proceed without waiting for a grant, under certain conditions. It operates in conjunction with any centralized matching algorithm to achieve a high maximum utilization and incorporates a reliable delivery mechanism to deal with failed speculations. An analytical model is presented to investigate the efficiency of the speculative transmission scheme employed in a non-blocking N × NR input-queued crossbar switch with R receivers per output. Using this model, performance measures such as the mean delay and the rate of successful speculative transmissions are derived. The results demonstrate that the control-path latency can be almost entirely eliminated for loads up to 50%. Our simulations confirm the analytical results.
Construction of biorthogonal two-direction refinable function and two-direction wavelet with dilation factor m
Authors: Changzhen Xie
Venue: Computers Mathematics with Applications (2008)

An algorithm for constructing a pair of biorthogonal two-direction refinable function and the corresponding biorthogonal two-direction wavelet is presented. In particular, the algorithm can also be used to construct two-direction orthogonal refinable function. Finally, we give an example illustrating how to use our method to construct biorthogonal two-direction scaling function with dilation factor 3.
A comparative evaluation on the accuracies of software effort estimates from clustered data
Authors: Sun-Jen Huang, Nan-Hsing Chiu, Yu-Jen Liu
Venue: Information and Software Technology (2008)

Precision in estimating the required software development effort plays a critical factor in the success of software project management. Most existing software effort estimation models only compare the accuracies of software effort estimates from the historical data without clustering. A potential factor that can affect the accuracies of the established effort estimation models is the homogeneity of the data. However, such investigation on the effects of the accuracies of the derived effort estimates is seldom explored in software effort estimation literature. Therefore, this paper aims to explore the effects of accuracies of the software effort estimation models established from the clustered data by using the International Software Benchmarking Standards Group (ISBSG) repository. The ordinary least square (OLS) regression method is adopted to establish a respective effort estimation model in each cluster of datasets. The empirical experiment results show that the estimation accuracies do not reveal significant differences within the respective dataset clustered by each software effort driver. It also demonstrates that software effort estimation models from the clustered data present almost similar accuracy results compared to models from the entire data without clustering.
Sharing digital photographs in the home through physical mementos, souvenirs, and keepsakes
Authors: Michael Nunes, Saul Greenberg, Carman Neustaedter
Venue: Proceedings of the 7th ACM conference on Designing interactive systems (2008)

People now easily share digital photos outside the home via web publishing and gift-giving. Yet within the home, digital photos are hard to access and lack the physical affordances that make sharing easy and opportunistic. To promote in-home photo sharing, we designed Souvenirs, a system that lets people link digital photo sets to physical memorabilia. These mementos trigger memories and serve as social instruments; a person can enrich their story-telling by moving the physical memento close to their large-format television screen, and the associated photos are immediately displayed. We implemented Souvenirs, and then re-examined our design premises through contextual interviews with 20 households. Families described their current practices of photo sharing and memento use, and also reacted to the Souvenirs design. Based on these interviews, we redesigned Souvenirs to better fit the real practices of photo and memento use in the home.
A New Parameter Selection Method of Neural Network
Authors: Gui-fang Wu, Se-young Jang, Hoon-sung Kwak, Jie-xin Pu
Venue: Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (2008)

A new parameter selection method of neural network is presented after researching parameter selection method of neural network deeply, and it is applied to surface defect online inspection system of cold rolled strips. The method exerted the merits of small-samples fully which was utilized to train and test neural network by every possible combination of parameters to get a group of neural network parameters by plotting histogram of recognition rate under different parameter combinations, and the parameters are regarded as optimized parameters of neural network. Experiments showed that a best recognition effect by using the parameters for neural network which are selected by the new parameter selection method can be achieved among all the parameters selected randomly for surface defect of cold rolled strips.
A hybrid artificial immune system and Self Organising Map for network intrusion detection
Authors: Simon T. Powers, Jun He
Venue: Information Sciences: an International Journal (2008)

Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. Two broad approaches exist to tackle this problem: anomaly detection and misuse detection. An anomaly detection system is trained only on examples of normal connections, and thus has the potential to detect novel attacks. However, many anomaly detection systems simply report the anomalous activity, rather than analysing it further in order to report higher-level information that is of more use to a security officer. On the other hand, misuse detection systems recognise known attack patterns, thereby allowing them to provide more detailed information about an intrusion. However, such systems cannot detect novel attacks. A hybrid system is presented in this paper with the aim of combining the advantages of both approaches. Specifically, anomalous network connections are initially detected using an artificial immune system. Connections that are flagged as anomalous are then categorised using a Kohonen Self Organising Map, allowing higher-level information, in the form of cluster membership, to be extracted. Experimental results on the KDD 1999 Cup dataset show a low false positive rate and a detection and classification rate for Denial-of-Service and User-to-Root attacks that is higher than those in a sample of other works.
A user browsing model to predict search engine click data from past observations.
Authors: Georges E. Dupret, Benjamin Piwowarski
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

Search engine click logs provide an invaluable source of relevance information but this information is biased because we ignore which documents from the result list the users have actually seen before and after they clicked. Otherwise, we could estimate document relevance by simple counting. In this paper, we propose a set of assumptions on user browsing behavior that allows the estimation of the probability that a document is seen, thereby providing an unbiased estimate of document relevance. To train, test and compare our model to the best alternatives described in the Literature, we gather a large set of real data and proceed to an extensive cross-validation experiment. Our solution outperforms very significantly all previous models. As a side effect, we gain insight into the browsing behavior of users and we can compare it to the conclusions of an eye-tracking experiments by Joachims et al. [12]. In particular, our findings confirm that a user almost always see the document directly after a clicked document. They also explain why documents situated just after a very relevant document are clicked more often.
The Lighthouse Alarm and Locator trial - A pilot study
Authors: A. Melander-Wikman, M. Jansson, J. Hallberg, C. Mörtberg, G. Gard
Venue: Technology and Health Care (2007)

An important factor for health is the possibility to be active and mobile. To make this possible various kinds of support are needed. Integrating geographical information systems technology and user experiences is important in the development of more user-friendly positioning devices. The Lighthouse Alarm and Locator trial aimed to test a new mobile alarm system with additional functionality such as positioning and monitoring of vital signs which can be used regardless of location (in hospital, at home). The system was tested by elderly persons from a pensioner organisation and home care personnel answered up on the alarms. After the tests qualitative interviews were performed with the two groups. The results showed that their experiences of the new mobile alarm system could be described in three main categories: to be supervised, to feel safe and to be mobile. These categories formed a theme: Positioning - an ethical dilemma. The clients' mobility was perceived to increase. The personnel did not think that positioning was ethical but the clients (elderly) did.
Research on Electronic Commerce KMS Based on Agent and Ontology
Authors: Ruixue Fu, Zhanhong Xin
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

To extract value of knowledge, the Multi-Agent architecture of electronic commerce knowledge management system (KMS) based on Agent and Ontology has been introduced, which includes four major types of agent and one Function Knowledge Agency that deals with each stage of knowledge life cycle. In this architecture, Ontology is used to define a common vocabulary for agents to communicate with one another, and explicitly formalize the domain knowledge. To illustrate the architecture, a simulation work has been done and the results imply that the architecture provides a very efficient method to design electronic commerce KMS with the purposes of flexibility to apply tools, extensibility, and reusable ability of the software components. The objective of this paper is to illustrate the architecture of electronic commerce KMS, and the approach how Agent and Ontology support the electronic commerce KMS.
Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea
Authors: S. Lee
Venue: International Journal of Remote Sensing (2007)

The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study areas of Gangneung in Korea. We aimed to verify the effect of data selection at training sites. Landslide locations were identified by the change detection technique of Korea Multipurpose Satellite (KOMPSAT-1) electro-optical camera (EOC) images, checked in the field, and a spatial database of topography, soil, forest, and land use was constructed. Sixteen landslide-related factors were extracted. These factors were used with an artificial neural network to analyse landslide susceptibility. Each factor weight was determined by the back-propagation training method. Five different data sets were applied to analyse and verify the effect of training. Landslide susceptibility indices were then calculated using the trained back-propagation weights, and susceptibility maps were constructed from Geographic Information System (GIS) data for five cases of difference training. The landslide susceptibility map was then compared with known landslide locations and verified. The result showed a prediction accuracy varying from 82.72% to 86.10%. The landslide susceptibility map can be used for land use planning to reduce hazards associated with landslides.
Towards Peer-to-Peer Based Distributed Simulations on a Grid Infrastructure
Authors: Azzedine Boukerche, Ming Zhang
Venue: Proceedings of the 41st Annual Simulation Symposium (anss-41 2008) (2008)

Grid based distributed simulations are becoming more and more important with the increasing number of largescale modeling and simulation applications. Distributed simulations are evolving with modern distributed computing techniques and are facing new challenges such as interoperability, reusability, scalability, etc. Distributed Interactive Simulation and High Level Architecture have been the dominant distributed simulation standards for the past few years, and HLA is still the backbone for supporting federate based distributed simulations. However, HLA relies heavily on centralized Runtime Infrastructure (RTI) and is not easy to scale for large-scale applications. Also, its interoperability is limited since it does not use a fully opened standard such as Service Oriented Architecture (SOA). Therefore, lot research has been done to promote the next generation of simulation architecture. Such efforts result in the XMSF, which tries to integrate SOA with distributed simulation. In the meantime, Peer-to-Peer network based distributed simulations are also attracting more researchers to investigate the feasibility of decentralized architecture for large-scale distributed simulations. In this paper, we propose a hierarchical service oriented JXTA-core multi-layered architecture for large scale distributed simulations. Our particular design consideration is dynamic reconfigurable and realtime capable distributed simulation infrastructure, and we also aim to address most of the concerns regarding gridbased large-scale distributed simulation. We further verify our design through a formal DEVS simulation based modeling. We believe that a decentralized framework will be dominant in the area of distributed simulations in the near future due to its flexibility, scalability, and the ease of reconfiguring simulation applications.
A node discovery service for partially mobile sensor networks
Authors: Vladimir Dyo, Cecilia Mascolo
Venue: Proceedings of the 2nd international workshop on Middleware for sensor networks (2007)

Wireless Sensor Networks (WSNs) are challenging types of networks where resources can be scarce. In particular, battery is often a very limited resource and the radio interface is the culprit for most of the energy consumption. This makes any discovery of other sensors a difficult task, less cumbersome if sensors are fixed but crucial if (some) sensors start being mobile (such as in wildlife monitoring projects with tagged animals). In this paper we propose a middleware offering node discovery for partially mobile wireless sensor networks, where fixed nodes (sinks), deployed in the environment to monitor the movement of entities, detect those patterns with low power consumption. The approach is based on various machine learning techniques which allows for learning and adapting the wake up strategy of the sinks dynamically. We also report on the evaluation of the approach through simulation and use of real movement traces.
Publishing in computing education
Authors: Josh Tenenberg, Sally Fincher, John Impagliazzo, Daniel Joyce
Venue: Proceedings of the 39th SIGCSE technical symposium on Computer science education (2008)

This panel is directed to members of the SIGCSE community who would like to learn more about the places to publish in computing education and how to get published there. This panel brings together conference, journal, and book-series editors to share their insights as "gatekeepers" of their respective publication venues.
Using dynamic time warping for online temporal fusion in multisensor systems
Authors: Ming Hsiao Ko, Geoff West, Svetha Venkatesh, Mohan Kumar
Venue: Information Fusion (2008)

Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data, features or decisions. Traditionally these fusion processes only concern fusion at specific points in time. However recently, there is a growing interest in inferring the behavioural aspects of environments or objects that are monitored by multisensor systems, rather than just their states at specific points in time. In order to infer environmental behaviours, it may be necessary to fuse data acquired from (i) geographically distributed sensors at specific points of time and (ii) specific sensors over a period of time. Fusing multisensor data over a period of time (also known as Temporal fusion) is a challenging task, since the data to be fused consists of complex sequences that are multi-dimensional, multimodal, interacting, and time-varying in nature. Additionally, performing temporal fusion efficiently in real-time is another challenge due to the large amounts of data to be fused. To address this issue, we propose a robust and efficient framework that uses dynamic time warping (DTW) as the core recognizer to perform online temporal fusion on either the raw data or the features. We evaluate the performance of the online temporal fusion system on two real world datasets: (1) accelerometer data acquired from performing two hand gestures, and (2) a benchmark dataset acquired from carrying a mobile device and performing the predefined user scenarios. Performance results of the DTW-based system are compared with those of a Hidden Markov Model (HMM) based system. The experimental results from both datasets demonstrate that the proposed system outperforms HMM based systems, and has the capability to perform online temporal fusion efficiently and accurately in real-time.