ppxscal/embedding_network huggingface dataset:
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
Authors: James E. Fowler
Venue: Proceedings of the Data Compression Conference (2008)

A method is proposed for the compression of hyperspectral signature vectors on severely resource-constrained encoding platforms. The proposed technique, compressive-projection principal component analysis, recovers from random projections not only transform coefficients but also an approximation to the principal-component basis, effectively shifting the computational burden of principal component analysis from the encoder to the decoder. In its use of random projections, the proposed method resembles compressed sensing but differs in that simple linear reconstruction suffices for coefficient recovery. Existing results from perturbation theory are invoked to argue for the robustness under quantization of the eigenvector-recovery process central to the proposed technique, and experimental results demonstrate a significant rate-distortion performance advantage over compressed sensing using a variety of popular bases.
Rigid shape interpolation using normal equations
Authors: William Baxter, Pascal Barla, Ken-ichi Anjyo
Venue: Proceedings of the 6th international symposium on Non-photorealistic animation and rendering (2008)

In this paper we provide a new compact formulation of rigid shape interpolation in terms of normal equations, and propose several enhancements to previous techniques. Specifically, we propose 1) a way to improve mesh independence, making the interpolation result less influenced by variations in tessellation, 2) a faster way to make the interpolation symmetric, and 3) simple modifications to enable controllable interpolation. Finally we also identify 4) a failure mode related to large rotations that is easily triggered in practical use, and we present a solution for this as well.
In situ fabrication of a poly-acrylamide membrane in a microfluidic channel
Authors: J. -B. Orhan, R. Knaack, V. K. Parashar, M. A. M. Gijs
Venue: Microelectronic Engineering (2008)

We present a novel technological approach for the in situ realization of a micron-thin poly-acrylamide membrane in the center of a microfluidic channel. The membrane is formed by interfacial polymerization of an inner stream of monomer solution in between two streams of initiator/catalyst solution in a hydrodynamic focusing chip. 20@mm thick SU-8 structures are used to replicate the chip in poly dimethylsiloxane (PDMS). The chip is fitted within an adaptor allowing easy fluidic connections, temperature control and optical monitoring under a microscope. With this system, we can easily tune the internal stream width from 5 to 100@mm, by varying the internal/external flow ratio.
Optimization of a novel micro-opto-X-ray imaging lens
Authors: H. Ostadi, M. Arroyo, P. D. Prewett, K. C. Jiang, S. E. Huq
Venue: Microelectronic Engineering (2008)

A mechanically deformable reflection transmission MOEMS system is capable of focusing X-rays to sub micron spots. This paper considers the geometry of the proposed deformed slotted microcantilever lens element under thermally derived strain, using finite element analysis. The work shows that an optimized MOEMS design using a slotted polyimide/gold thermal bimorph cantilever is capable of achieving ideal geometry with a larger than expected number of focusing slots - up to 111 at 2@mm width.
Performance analysis of explicit group parallel algorithms for distributed memory multicomputer
Authors: Kok Fu Ng, Norhashidah Hj. Mohd Ali
Venue: Parallel Computing (2008)

Since their introduction, the four-point explicit group (EG) and explicit decoupled group (EDG) methods in solving elliptic PDE's have been implemented on various parallel computing architectures such as shared memory parallel computer and distributed computer systems. However, no detailed study on the performance analysis of these algorithms was done in any of these implementations. In this paper we developed performance models for these explicit group methods and present detailed study of their hypothetical implementation on two distributed memory multicomputers with different computation speed and communication bandwidth. Detailed performance analysis based on these models predicted different theoretical performance if the methods were implemented on the clusters. This was confirmed by the experimental results performed on the two distinct clusters. Theoretical analysis and experimental results indicated that both explicit group methods are scalable with respect to number of processors and the problem size.
Edge detection in images using clustering algorithms
Authors: Tuba Sirin, Mehmet Izzet Saglam, Isin Erer, Muhittin Gokmen
Venue: Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics (2005)

Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.
WATeRS: an open Web Map Service with near-real time MODIS Level-2 standard chlorophyll products of the North Sea
Authors: M. A. Eleveld, A. J. Wagtendonk, R. Pasterkamp, N. O. de Reus
Venue: International Journal of Remote Sensing (2007)

WATeRS (http://ivm10.ivm.vu.nl/mapserver/WATeRS) is a portal for near-real time (NRT) satellite-derived water quality (chlorophyll) information products that is openly and interactively available for all on the Internet. It is based on automated conversion of remotely sensed data (in scientific formats) to geographic information system (GIS) formats, and comprises a customized Arc Internet Map Server (ArcIMS) application with an OpenGIS compliant Web Map Server connector. The resulting GIS-based open map service comprises a simple, clear and intuitive user interface, grid-cell query functionality, and is complemented by a metadata catalogue that provides full lineage of the chlorophyll maps, and automated archiving. WATeRS enables users to interactively explore remote sensing products, and to seamlessly combine this with other geographical data.
The e-commerce value matrix and use case model: A goal-driven methodology for eliciting B2C application requirements
Authors: Tzyh-Lih Hsia, Jen-Her Wu, Eldon Y. Li
Venue: Information and Management (2008)

We developed a goal-driven methodology for eliciting and modeling the requirements of a business-to-consumer application. It has two phases: e-commerce strategy formulation and eliciting system requirements. In the first phase, an EC value matrix is used to develop a strategy and value-adding services for a business and then necessary customized requirements are identified. In the second phase, a goal-driven approach is used to specify the system requirements based on the strategy. This methodology enables business managers and system developers to develop high-level strategies that improve value activities and obtain competitive advantage, and thereby determine the specifications of the core e-services. To illustrate the methodology, we use a B2C application of an online bookstore. Finally, implications and conclusions are discussed.
Monitoring browsing behaviour and search services evolution adaptation with a capture-recapture Internet-based programming technique: A case-study over medical portals
Authors: Ioannis Anagnostopoulos, Ilias Maglogiannis
Venue: Information Services and Use (2007)

Nowadays, web search services are considered as a valuable tool for information exploration. However, due to the extremely rapid growth of the web, search engines cannot index the new information at the same time or with the same priority and thus their performance is hampered in some extend. Besides, web search services index the disseminated information with different algorithms, having as result different response time in updating their directories. In this paper, we propose a meta-search algorithm, which is capable of self-adapting over the continuous changes that occur on the indexed web, using a web evolution adaptation mechanism. This mechanism is put in the context of real capture-recapture experiments conducted in wildlife biological studies. The meta-search algorithm also supports a monitor mechanism, which records the user's browsing behavior during his search sessions. The paper provides the implementation details of the proposed meta-search ranking algorithm along with its initial assessment over health-related information using three medical web search services. We prove in our approach, that when user's browsing behavior is jointly used with a dynamic survey mechanism, which scores the ability of each search service to adapt in the incessant evolution of the web, a more effective meta-search is provided. Experimental results showed that the precision of the third-party results, were increased in several recall levels, for a tested period between September of 2006 and April of 2007.
A 12-Gb/s DEMUX Implemented with SiGe high-speed FPGA circuits
Authors: Chao You, Jong-Ru Guo, Russell P. Kraft, Michael Chu, Bryan Goda, John F. Mcdonald
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

A 7-12-Gb/s demultiplexer implemented with circuits for a high-speed field-programmable gate array (FPGA) is introduced in this paper. Since the first FPGA was released by Xilinx in 1985, FPGAs have become denser and more powerful. The first FPGA that operates in the microwave range was designed in 2000. Various methods, such as a new basic cell structure and multimode routing, are used to make that design faster and less power consuming. Sequential logic functions are analyzed and tested in this paper with a DEMUX implementation using these high-speed FPGA circuits. A chip measurement has shown that the FPGA can operate at a 12-GHz system clock when configured to perform sequential logic. A DEMUX that operates at 12 Gb/s is used here to demonstrate the potential for high-performance and low-power FPGA features.
Investigation of a beam crack identification method using the standard finite element formulation
Authors: Stratis Kanarachos, George Demosthenous
Venue: Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing (2006)

Over the past few years, the problem of detecting structural damage in mechanical, aeronautical and civil engineering systems has been the subject of numerous research papers and conferences. The traditional maintenance methods usually require that the structure/system under investigation be taken out of service for detection at pre-set time intervals. The inspection procedure can be very expensive and time consuming, especially when it involves components at inaccessible locations. This has motivated the research of new NDE techniques that can be applied to in-service structures, reducing maintenance costs and improving system safety as well as system performance. In this paper an investigation of a beam crack identification method is performed using the standard finite element formulation.
Distributed flow admission control for real-time multimedia services over wireless ad hoc networks
Authors: Viraj Ambetkar, Paul Bender, Jianing Ma, Yong Pei, James W. Modestino
Venue: Proceedings of the 2nd international conference on Mobile multimedia communications (2006)

In this paper, we propose a novel Priority-based Distributed flow Admission Control (PDAC) protocol which adds enhancements to the existing Dynamic Source Routing (DSR) protocol in order to provide Quality of Service (QoS) to traffic flows belonging to realtime and multimedia applications in wireless ad hoc networks. PDAC allows a node to establish and/or discard traffic flows based on the global knowledge of traffic flow priority and available throughput together with the local knowledge of prevailing channel conditions, interference neighborhood, and available transmission rate. The PDAC protocol can also operate in 'cross-layer' architecture that encompasses network and MAC layers in order to provide fairness to higher-priority flows, better channel utilization, and effective resource reservation.
Proceeding of the 1st ACM international workshop on Heterogeneous sensor and actor networks
Venue: International Symposium on Mobile Ad Hoc Networking Computing (2008)

It gives us a great pleasure to present you the technical program of the 1st ACM International Workshop on Heterogeneous Sensor and Actor Networks, HeterSanet 2008. This is the result of the common effort of two initially separated groups, which converged into a very harmonic program. HeterSanet is a high-quality workshop focusing on all the issues related to the integration of sensor and actuator networks with existing infrastructure networks like wired networks, and wireless local/wide-area networks: from underlying technologies to applications and services. For this first year the workshop received in total 30 submissions, and the world-wide scientific community contributed in a quite uniform way. This shows that the community of researchers working on sensor networks, and in particular on the specific aspects of actuating and heterogeneity, is quickly growing worldwide, and HeterSanet positions itself as a reference forum for the community of researchers working in this field. This interesting number of submissions provided an excellent opportunity for a high-quality program. The members of the Technical Program Committee, together with several additional external reviewers, worked hard for providing the basis for the final paper selection. We finally selected 14 papers for presentation in the 4 workshop technical sessions. Overall, the final program is excellent and diverse, and covers both fundamental issues in sensor network operations and communications, as well as emerging topics. The large number of submissions and the low acceptance rate (less than 50%) represents an excellent starting point for a workshop, and further confirms that the HeterSanet is going to be established as a worldwide reference event in the field.
Clinical web environment to assist the diagnosis of Alzheimer's disease and other dementias
Authors: C. P. Suárez Araujo, M. A. Pérez Del Pino, P. García Báez, P. Fernández López
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

In this article we present a web application for an interactive and modular virtual clinical environment, (EDEVITALZH), which constitutes an essential part of an intelligent system of neural computation to assist the diagnosis of Alzheimer's disease and other dementias (SICONMID3), based on the HUMANN neural architecture. By using EDEVITALZH, it is possible to pre-diagnose dementia, to give a probable diagnosis of Alzheimer's disease and differential diagnosis of dementias in a more reliable and flexible way in primary care as well as in specialised centres, due to its use in a telemedicine format. EDEVITALZH presents a Global Clinical Protocol for Dementias (GCPD) implemented using a web interface supported by a three level modular architecture (data, diagnosis and communication security) that allows rigorous and easy data handling, as well as undertaking a previous analysis before diagnosis and comparative studies of patients regardless of their actual location and geographical position. EDEVITALZH permits the fusion of heterogeneous data, enabling data introduction to be processed and analysed ranging from the purely numerical to the imprecise sentences of natural speech, normally associated with clinical records and/or of histopathological interpretations, including multidimensional and multi-parameter signals.
The effects of witness viewpoint distance, angle, and choice on eyewitness accuracy in police lineups conducted in immersive virtual environments
Authors: Jeremy N. Bailenson Alexandra Davies, Jim Blascovich Andrew C. Beall Cade McCall Rosanna E. Guadagno
Venue: Presence: Teleoperators and Virtual Environments (2008)

The current study investigated the value of using immersive virtual environment technology as a tool for assessing eyewitness identification. Participants witnessed a staged crime and then examined sequential lineups within immersive virtual environments that contained 3D virtual busts of the suspect and six distractors. Participants either had unlimited viewpoints of the busts in terms of angle and distance, or a unitary view at only a single angle and distance. Furthermore, participants either were allowed to choose the angle and distance of the viewpoints they received, or were given viewpoints without choice. Results demonstrated that unlimited viewpoints improved accuracy in suspect-present lineups but not in suspect-absent lineups. Furthermore, across conditions, post-hoc measurements demonstrated that when the chosen view of the suspect during the lineup was similar to the view during the staged crime in terms of distance, accuracy improved. Finally, participants were more accurate in suspect-absent lineups than in suspect-present lineups. Implications of the findings in terms of theories of eyewitness testimony are discussed, as well as the value of using virtual lineups that elicit high levels of presence in the field. We conclude that digital avatars of higher fidelity may be necessary before actually implementing virtual lineups.
Exploring the relationship of history characteristics and defect count: an empirical study
Authors: Timea Illes-Seifert, Barbara Paech
Venue: Proceedings of the 2008 workshop on Defects in large software systems (2008)

During the lifetime of a project, a huge amount of information is generated, e.g. in versioning systems or bug data bases. When analysed appropriately, the knowledge about the previous project characteristics allows estimating the project's future evolution. For example, it is very valuable to know particular history characteristics of a file indicating its fault proneness because it helps testers to focus their testing effort on these specific files. In this paper, we present the results of an empirical study, exploring the relationship between history characteristics of software entities and their defects. For this purpose, we analyze 9 open source java projects. The results show that there are some history characteristics that highly correlate with defects in software, e.g. the number of changes and the number of distinct authors performing changes to a file. The number of co-changed files does not correlate with the defect count.
A mobile web map application for route discovery with device independent characteristics
Authors: Eirini Andriakopoulou, John Garofalakis, Athanasios Plessas
Venue: Proceedings of the 2007 Euro American conference on Telematics and information systems (2007)

As mobile devices are becoming increasingly powerful and ubiquitous, new possibilities to get route guidance are created, allowing users to save valuable time and effort. However, mobile devices still face severe constraints that limit the possibilities that a mobile route finding application may offer. In this paper, we present a device independent mobile application that enables mobile users to receive route directions to their handheld device. This application is an extension to an existing mobile map delivery system, the m-CHARTIS system. We focus on the main features and we analyse the device independent character of the application. Implementation details are presented and finally directions for future work are proposed.
Using the total least squares method for seismic correction of recordings from unknown instruments
Authors: A. A. Chanerley, N. A. Alexander
Venue: Advances in Engineering Software (2008)

This paper describes the correction or recovery of the original ground motion acceleration time histories from accelerometer digital records. It deals specifically with the situation where the recording accelerometer instrument is unknown. This is the case with some older (legacy) records. The term instrument implies all processes that have modified the time history in some way, such as the accelerometer response transfer function, anti-alias filters used in A/D conversion, digital quantisation, etc. The total least squares (TLS) method is used to identify the unknown system (instrument) that must be used to de-convolute the recorded time histories. This approach is compared and contrasted with the recursive least squares method (QR-RLS) and a standard second order, single-degree-of-freedom, idealised instrument de-convolution. A range of seismic events from Iceland and Taiwan (SMART-1 array) are considered. These data sets include a number of different strong motion accelerometers, from Iceland: the SMA-1, DCA-333, A-700, SSA-1 instruments and the SA-3000 used in the SMART-1 array. Without any assumed information about the instrument the TLS is shown to provide a reasonable estimate of its characteristics from just the recorded time history data.
Fuzzy systems and neural networks methods to identify hand and finger movements using surface EMG signals
Authors: Abdelhafid Zeghbib, Frank Palis, Georgi Tsenov, Nicola Shoylev, Valeri Mladenov
Venue: Proceedings of the 9th WSEAS International Conference on Systems (2005)

With help of exploitation of myoelectric signals, amputee persons can have a chance to improve their life with myoelectric prosthesis which are able to function with the amputee's muscle movements. The myoelectric signal (MES) is the electrical manifestation of muscular contraction. This signal recorded at the surface of the skin of the forearm has been exploited to provide the recognition of the movement of the hand and finger Movements of healthy subject. The objective of the paper is first to describe the identification procedure, based on EMG patterns of forearm activity using Fuzzy logic and Neural Networks methods. Second to show the advantage of using features in Time-frequency domain, in comparison to those in time domain. Suitable features in time-frequency domain give high classification rates. Third is to compare between different intelligent computational methods of identification, which are used in this work: Multi-Layer Perceptron (MLP), Radial Basis Function Networks (RBF) and Learning Vector Quantization network (LVQ) as supervised methods and fuzzy Subtractive Clustering (FSC) as unsupervised method.
SSEST: Summer school on embedded system technologies
Authors: Yutaka Matsubara, Midori Sugaya, Ittetsu Taniguchi, Yasuaki Murakami, Hayato Kanai, Hiroaki Takada
Venue: Proceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 02 (2007)

In recent years, embedded system technologies are evolving rapidly and in short-handedness of experienced engineers has become a serious problem. To solve this problem from the point of view of students and young engineers, a committee is organized by those members. We, the committee members, planned to provide a new educational material and a curriculum for students and young engineers to have an opportunity to learn embedded system technologies during summer time as Summer School on Embedded System Technologies (SSEST). In this school, we aim to provide an education for basic knowledge and techniques about embedded systems through a whole development process and an interchange among people of different universities and companies through the processes. In this paper, we introduce the plan of summer school, and its educational material and the curriculum of SSEST in 2005 and 2006.