ppxscal/embedding_network huggingface dataset:
Gait analysis for human identification through manifold learning and HMM
Authors: Ming-Hsu Cheng, Meng-Fen Ho, Chung-Lin Huang
Venue: Pattern Recognition (2008)

With the increasing demands of visual surveillance systems, human identification at a distance has gained more attention from the researchers recently. Gait analysis can be used as an unobtrusive biometric measure to identify people at a distance without any attention of the human subjects. We propose a novel effective method for both automatic viewpoint and person identification by using only the silhouette sequence of the gait. The gait silhouettes are nonlinearly transformed into low-dimensional embedding by Gaussian process latent variable model (GP-LVM), and the temporal dynamics of the gait sequences are modeled by hidden Markov models (HMMs). The experimental results show that our method has higher recognition rate than the other methods.
An Adaptive Programming Model for Environmental Sensor Networks Using Fuzzy Logic
Authors: Bradford G. Nickerson, Ke Deng
Venue: Proceedings of the Communication Networks and Services Research Conference (2008)

In this paper, we present a sensor network programming model using fuzzy logic. A fuzzy controller model is used to dynamically control the rate of observation of environ-mental variables. Differing rates arise from changing environmental conditions. Inferencing using linguistic rules provides a compact, human friendly way to represent the knowledge base for controlling environmental sensor net-works. Our programming model is illustrated with a simulation having two rules and three environmental variables.
FrameWeb: a framework-based design method for web engineering
Authors: Vítor Estêvão Silva Souza, Ricardo de Almeida Falbo
Venue: Proceedings of the 2007 Euro American conference on Telematics and information systems (2007)

Web application development has long evolved from CGI scripting in structured programming languages to a whole new discipline called Web Engineering. Today, large and complex distributed systems are being built for the web, mostly with the use of frameworks or a container-based architecture. This paper proposes a method for the design of Web applications based on the use of frameworks, including a modeling language that extends UML to build diagrams that specifically depict framework-related components.
Requirements and architectures: two sides of the same coin
Authors: Jon G. Hall
Venue: Proceedings of the 3rd international workshop on Sharing and reusing architectural knowledge (2008)

Locating the relationship between requirements and architectures in software engineering design has taxed researchers ever since the topic appeared. Requirements are firmly part of the problem world, architectures part of the solution. Any relationship between cannot then properly be seen as existing in either - even though exponents of requirements or architectures may try to convince of it! But if it exists, where is it located? We will discuss possible locations, and suggest, with the aid of a new framework for engineering design, that the correct place is in the mind of the designer.
A study of effect of different static load models and system operating constrains on static voltage stability
Authors: Cheng-Hong Gu, Qian Ai, Jiayi Wu
Venue: Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation (2005)

This paper uses continuation power flow to simulate P-V curves to analyze the effects of different load model and system operating constrains on power system static voltage stability. It is found that the critical points with ZIP and exponential function load model are relatively similar. While to restrict generators' reactive power output, it would be unfavorable for voltage stability. Transmission line active and apparent power limits have quite similarly influences on voltage stability. But current limits are different, which are much serious. In addition, nodal voltage amplitude low limits are better among 0.90-0.95p.u and upper limits almost have no influences.
Ontology-Based Software Engineering- Software Engineering 2.0
Authors: T. S. Dillon, E. Chang, P. Wongthongtham
Venue: Proceedings of the 19th Australian Conference on Software Engineering (2008)

This paper describes the use of ontologies in different aspects of software engineering. This use of ontologies varies from support for software developers at multiple sites to the use of an ontology to provide semantics in different categories of software, particularly on the web. The world’s first and only software engineering ontology and a project management ontology in conjunction with a domain ontology are used to provide support for software development that is taking place at multiple sites. Ontologies are used to provide semantics to deal with heterogeneity in the representation of multiple information sources, enable the selection and composition of web services and grid resources, provide the shared knowledge base for multiagent systems, provide semantics and structure for trust and reputation systems and privacy based systems and codification of shared knowledge within different domains inbusiness, science, manufacturing, engineering and utilities. They, therefore, bring a new paradigm to software engineering through the use of semantics as a central mechanism which will revolutionize the way software is developed and consumed in the future leading to the development of software as a service bringing about the dawn of software engineering 2.0.
A modified eigen-structure analyzer to lower SNR DS-SS signals under narrow band interferences
Authors: Tianqi Zhang, Aiping Mu
Venue: Digital Signal Processing (2008)

This paper proposes a modified approach to eigen-structure analysis of direct sequence spread spectrum (DS-SS) signals under narrow-band interferences (NBIs), which can estimate the pseudo noise (PN) sequence blindly in lower signal-to-noise ratio (SNR) and signal-to-interference ratio (SIR) DS-SS signals. Of course, some parameters of DS-SS signals (such as the period and chip interval of PN sequences) need to be known. The received signal is divided into continuous non-overlapping temporal vectors according to two periods (not the one period before in [T. Zhang, A. Mu, C. Zhang, Analyze the eigen-structure of DS-SS signals under narrow band interferences, Digital Signal Process. 16 (6) (2006) 746-753]) of PN sequence, after which their correlation matrix is calculated and accumulated vector by vector. An eigenvalue decomposition operation can be applied to the matrices to analyze blindly the eigen-structure (including the NBI eigen-structures and PN sequences) of received signals from the principal component eigenvectors. Since the duration of temporal window is two periods of PN sequence, the PN sequence can be reconstructed by one principal eigenvector (not the two component eigenvectors before in [T. Zhang, A. Mu, C. Zhang, Analyze the eigen-structure of DS-SS signals under narrow band interferences, Digital Signal Process. 16 (6) (2006) 746-753]) only. Theoretic analysis and experimental results show that the approach is more effective than the method before in [T. Zhang, A. Mu, C. Zhang, Analyze the eigen-structure of DS-SS signals under narrow band interferences, Digital Signal Process. 16 (6) (2006) 746-753]. It can also work well in the lower SNR and SIR environments.
Select Reliable Strategy in Multi-Agent Systems Using Fuzzy Logic-Based Fusion
Authors: Amin Ramezani, Mohamad Reza Andalibizadeh, Soheil Bahrampour, Hamed Ramezani, Behzad Moshiri
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

In this paper we implemented a fully knowledge base approach to determine the attack/defense strategies of a team of soccer robots as a multi agent system which are playing two cooperative and non-cooperative games in a battle field simultaneously. First two teams play in non-cooperative game and find their equilibrium point and payoff then all players in a team tries reaching to this position. As there are several decision about team strategy in non-cooperative game and player strategy in cooperative game, our novel approach to use Fuzzy Integral Operators (FIO) to fuse sensory information enables designer to softly change team strategy and play the most likelihood game to a real game. Selecting the shape of FIO affect directly on the team strategy and players’ position and be reviewed in this paper. This approach will be imported in both, cooperative and non-cooperative game when we face to a multi- hypothesis structure. Results justified successfully the improved performance in team action.
Second-order splitting schemes for a class of reactive systems
Authors: Zhuyin Ren, Stephen B. Pope
Venue: Journal of Computational Physics (2008)

We consider the numerical time integration of a class of reaction-transport systems that are described by a set of ordinary differential equations for primary variables. In the governing equations, the terms involved may require the knowledge of secondary variables, which are functions of the primary variables. Specifically, we consider the case where, given the primary variables, the evaluation of the secondary variables is computationally expensive. To solve this class of reaction-transport equations, we develop and demonstrate several computationally efficient splitting schemes, wherein the portions of the governing equations containing chemical reaction terms are separated from those parts containing the transport terms. A computationally efficient solution to the transport sub-step is achieved through the use of linearization or predictor-corrector methods. The splitting schemes are applied to the reactive flow in a continuously stirred tank reactor (CSTR) with the Davis-Skodjie reaction model, to the CO+H"2 oxidation in a CSTR with detailed chemical kinetics, and to a reaction-diffusion system with an extension of the Oregonator model of the Belousov-Zhabotinsky reaction. As demonstrated in the test problems, the proposed splitting schemes, which yield efficient solutions to the transport sub-step, achieve second-order accuracy in time.
Knowledge Discovery via Incremental Learning
Authors: Tristan Ling, David P. Johns, Byeong Ho Kang, Justin Walls, Gil-Cheol Park
Venue: Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies (2007)

Knowledge Discovery techniques seek to find new information about a domain. These techniques can either be manually performed by an expert, or automated using software algorithms (Machine Learning). However some domains (such as the field of lung function testing) contain volumes of data too vast for effective manual analysis, and require background knowledge too complex for Machine Learning algorithms. This study examines how the Multiple Classification Ripple-Down Rules (MCRDR) Knowledge Acquisition process can be adapted to develop a new Knowledge Discovery method, Exposed MCRDR. A prototype system was developed and tested in the domain of lung function. Preliminary results suggest that the EMCRDR method can be successfully applied to efficiently discover new knowledge in a complex domain. The study also reveals many potential areas of study and development for the MCRDR method, and Knowledge Acquisition and Knowledge Discovery methods in general.
User interface design practice for the web in New Zealand
Authors: Ramesh Lal, Scott P. Overmyer
Venue: International Journal of Web Engineering and Technology (2008)

In a survey of 62 enterprises in New Zealand, including the six major universities, we were interested in finding out the state of industrial and educational practice with respect to the field of user interface design for the web. Our research revealed that usability issues seem to have taken a backseat to other kinds of development concerns. There is general lack of formal education, knowledge and skills in usability methods, processes and techniques amongst designers and developers. We also found that most universities in New Zealand offer one or two Human-Computer Interaction (HCI) courses within their information technology undergraduate degree programmes as electives. Conversely, our research shows that elsewhere internationally, HCI has become a major area of study especially where usability is a major industrial concern. We discuss the problem, its implications and possible remedies.
Statically Checking Confidentiality of Shared Memory Programs with Dynamic Labels
Authors: Marcus Völp
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

At WITS 2005, Warnier et al. published an algorithm to statically check confidentiality of programs with dynamic labels. Unlike prior approaches, their method allows for temporary breaches of confidentiality. However, they share the commonly made assumption that programs run entirely in private memory. Thus, interaction with and observationof the checked program is restricted to program start and termination respectively. This paper extends Warnier’s approach in two fundamental aspects: shared memory and synchronisation. Through shared memory other programs may observe and interact with the checked program at memory-access granularity. Synchronisation renders parts of the shared memory inaccessible to those programs which adhere to the locking policy. We provide a mechanically-checked soundness proof and show the effectiveness of a countermeasure to the AES cache side-channel attack.
From concepts to implementation and visualization: tools from a team-based approach to ir
Authors: Uma Murthy, Ricardo da Silva Torres, Edward A. Fox, Logambigai Venkatachalam, Seungwon Yang, Marcos A. Gonçalves
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

Researchers have been studying and developing teaching materials for information retrieval (IR), such as [3]. Toolkits also have been built that provide hands-on experience to students. For example, IR-Toolbox [4] is an effort to close the gap between the students' understanding of IR concepts and real-life indexing and search systems. Such tools might be good for helping students in non-technical areas such as in the Library and Information Science field to develop their conceptual model of search engines. However, they do not cover emerging topics and skills, such as content-based image retrieval (CBIR) and fusion search. Although there is open source software (such as those in http://www.searchtools.com/tools/tools-opensource.html) that can be used to teach basic and advanced IR topics, they require a student to have high-level technical knowledge and to spend a long time to gain a practical understanding of these topics. We present a new and rapid approach to teach basic and advanced IR topics, such as text retrieval, web-based IR, CBIR, and fusion search, to Computer Science (CS) graduate students. We designed projects that would help students grasp the abovementioned IR topics. Students, working in teams, were given a practical application to start with -- the Superimposed Application for Image Description and Retrieval [5]. SAIDR (earlier, SIERRA) allows users to associate parts of images with multimedia information such as text annotations. Also, users may retrieve information in one of two 2 ways: (1) Perform text-based retrieval on annotations; (2) Perform CBIR on images and parts of images that look like a query image (or part of a query image). Each team was asked to build an enhancement for this application, involving text retrieval and/or CBIR, in three weeks time. The sub-projects are described in Table 1. The outcome of this activity was that students learned about IR concepts while being able to relate their applicability to a real world problem (Figure 1). Details of these projects may be found at http://collab.dlib.vt.edu/runwiki/wiki.pl?TabletPcImageRetrievalSuperimposedInformation. We will demonstrate the tools developed along with the IR concepts they illustrate (Table 1). We believe these tools may aid others to learn about basic and advanced topics in IR.
Land cover in East Asia classified using Terra MODIS and DMSP OLS products
Authors: M. Matsuoka, T. Hayasaka, Y. Fukushima, Y. Honda
Venue: International Journal of Remote Sensing (2007)

Land cover is classified over East Asia using 250-m Moderate Resolution Imaging Spectroradiometer (MODIS) land surface reflectance, MODIS snow cover and Operational Linescan System (OLS) human settlement data. The classification method includes a decision tree classification scheme that considers 11 kinds of land surface features derived from the OLS product and the time series of two MODIS products in 2000. The decision tree was defined manually based on the experiment because of insufficient training data, ease of tuning by visual interpretation, and extensibility to further research. The resulting classification is compared to three kinds of reference data, i.e. MODIS land cover product, Chinese digital land cover map, and Chinese census. The land cover classification can be input into a hydrological model applied to the Yellow River in China.
Optimizing Secure Collaboration Transactions for Modern Information Systems
Authors: Richard Whittaker, Gonzalo Argote-Garcia, Peter J. Clarke, Raimund K. Ege
Venue: Proceedings of the Third International Conference on Systems (2008)

The issue of securing a collaboration within an information system is often addressed from the viewpoint of establishing a security policy that grants access to data by what role an individual has or the permissions that are attached to the underlying data. These methods are well suited for transactions where the concern is to secure the data during and after a collaboration. In the situation where the concern is to release the data without any security control after the release, these methods are unproductive. In such an environment the initial disclosure of data is crucial. In this paper we present the Optimal Data Security Module that addresses the need for an individual to select a minimal data set for a single collaboration transaction that results in the greatest return when collaborating with other entities within an information system. Therefore an individual could minimize the risk of sharing his/her data and maximize the reward when collaborating with other parties.
First-Order Ground Non-Monotonic Modal Logic
Authors: Benjamin Grimberg, Michael Kaminski
Venue: Fundamenta Informaticae (2008)

We study the extension of propositional ground non-monotonic modal logic to the firstorder case. We show that first-order ground non-monotonic modal logic well complies with first-order default logic by interpreting the latter in the former by the Truszczyński like translation and present a minimal model semantics of first-order ground non-monotonicmodal logic.
A Clustered Real-Time Remote Monitoring System for Out-of-Hospital Cardiac Patients
Authors: Zhimin Xu, Zuxiang Fang
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

To provide more convenient and comprehensive medical monitoring, especially to the out-of-hospital patients, this paper describes the implementation of a novel clustered real-time remote monitoring system. The manufacture of portable terminal device and development of hospital monitoring center system are in-troduced in detail. In addition, all-around tests are made to the whole system. The experimental results indicate that the system can afford a long-term, real-time and continuous monitoring and accurate positioning to multiple patients simultaneously. An automatic diag-nosis can also be undertaken. It presents a good clinical application prospect.
Web services on universal networks
Authors: Yun-Young Hwang, Il-Jin Oh, Hyung-Jun Yim, Kyong-Ha Lee, Kangchan Lee, Seungyun Lee, Kyu-Chul Lee
Venue: Proceedings of the 2nd international conference on Ubiquitous information management and communication (2008)

The clients, in ubiquitous environment, want to be consistently offered services at any time and in any places. There are so many service discovery middleware such as Jini, UPnP and HAVi. Each one of them supports different communication protocol. Therefore, when the clients ask an inquiry of service search, they have to support communication protocol of all service discovery middleware. Namely, all the cost shall be borne by the customer. In addition, these middleware does not consider the service location and status. To solve these problems, we suggest the SOA-based framework is Web Services on Universal Networks. The framework supports a dynamic service discovery through the interoperability between service discovery middleware. Furthermore, it considers service location and status at service discovery process.
A novel temporal fine structure-based speech synthesis model for cochlear implant
Authors: Fei Chen, Yuan-Ting Zhang
Venue: Signal Processing (2008)

It has widely been recognized that delivering the temporal fine structure information to the cochlear implant (CI) users might significantly improve their speech perception performance and lead a breakthrough for the CI design. This paper introduces a new speech synthesis model incorporating the temporal fine structure cue for CI. After bandpass filtering the speech signal, band-specific carriers are constructed by placing the high-rate sinusoidal pulses at the peak positions of the fine structures. The carriers are then amplitude-modulated by their envelopes, and summed to generate the synthesized speech. Mandarin-speaking subjects participated in the acoustic simulation experiment by listening to the voices synthesized by the continuous-interleaved-sampling (CIS) processor and the model-based algorithm in their six-band versions. The experimental results indicated that the model-based algorithm produced significant improvements in Mandarin tone identification, subjective assessment of speech intelligibility and speaker recognition. The proposed model should be helpful for the development of novel CI speech processing strategies to improve the speech perception of cochlear implantees, particularly those speaking tonal languages.
Power control for multicell CDMA wireless networks: a team optimization approach
Authors: Tansu Alpcan, Xingzhe Fan, Tamer Basar, Murat Arcak, John T. Wen
Venue: Wireless Networks (2008)

We study power control in multicell CDMA wireless networks as a team optimization problem where each mobile attains at the minimum its individual fixed target SIR level and beyond that optimizes its transmission power level according to its individual preferences. We derive conditions under which the power control problem admits a unique feasible solution. Using a Lagrangian relaxation approach similar to [10] we obtain two decentralized dynamic power control algorithms: primal and dual power update, and establish their global stability utilizing both classical Lyapunov theory and the passivity framework [14]. We show that the robustness results of passivity studies [8, 9] as well as most of the stability and robustness analyses in the literature [10] are applicable to the power control problem considered. In addition, some of the basic principles of call admission control are investigated from the perspective of the model adopted in this paper. We illustrate the proposed power control schemes through simulations.