ppxscal/embedding_network huggingface dataset:
Validation of the enlisted grade model gradebreaks
Authors: Andrew O. Hall
Venue: Proceedings of the 36th conference on Winter simulation (2004)

This paper describes the validation of the Enlisted Grade model gradebreaks and describes a current application of simulation in operations research. The Enlisted Grade model is part of a suite of models used by Army strength analysts to forecast active Army strength to develop the Active Army Military Manpower Program and for use in the President's Budget and the Program Objective Memorandum. The Enlisted Grade model gradebreaks were tested by predictive validation, comparison to the Military Occupational Specialty Level System and face validity before acceptance. The validation of the Enlisted Grade gradebreaks was the final milestone in the acceptance of the Enlisted Grade model.
A fast layout algorithm for visual video summaries
Authors: A. Girgensohn
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

We created an improved layout algorithm for automatically generating visual video summaries reminiscent of comic book pages. The summaries are comprised of images from the video that are sized according to their importance. The algorithm performs a global optimization with respect to a layout cost function that encompasses features such as the number of resized images and the amount of whitespace in the presentation. The algorithm creates summaries that: always fit exactly into the requested area, are varied by containing few rows with images of the same size, and have little whitespace at the end of the last row. The layout algorithm is fast enough to allow the interactive resizing of the summaries and the subsequent generation of a new layout.
Progressive Image Transmission over Space-Time Coded OFDM-Based MIMO Systems with Adaptive Modulation
Authors: Yong Sun, Zixiang Xiong
Venue: IEEE Transactions on Mobile Computing (2006)

This paper considers a progressive image transmission system over wireless channels by combining joint source-channel coding (JSCC), space-time coding, and orthogonal frequency division multiplexing (OFDM). The BER performance of the space-time coded OFDM-based MIMO system based on a newly built broadband MIMO fading model is first evaluated by assuming perfect channel state information at the receiver for coherent detection. Then, for a given average SNR (hence, BER), a fast local search algorithm is applied to optimize the unequal error protection design in JSCC, subjected to fixed total transmitted energy for various constellation sizes. This design allows the measurement of the expected reconstructed image quality. With this end-to-end system performance evaluation, an adaptive modulation scheme is proposed to pick the constellation size that offers the best reconstructed image quality for each average SNR. Simulation results of practical image transmissions confirm the effectiveness of our proposed adaptive modulation scheme.
A decision-theoretic approach to file consistency in constrained peer-to-peer device networks
Authors: David L. Roberts, Sooraj Bhat, Charles L. Isbell,  Jr., Brian F. Cooper, Jeffrey S. Pierce
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

As users interact with an increasing array of personal computing devices, maintaining data consistency across those devices becomes more difficult. Typical solutions assume access to centralized servers, continual connectivity, or unbounded storage and CPU capacity. In practice, users' devices vary widely in capabilities, use intermittent or sparsely-connected networks and incur (asymmetric) transfer costs. We present a multi-agent system built upon a decision-theoretic approach to constructing and executing multiple plans to achieve consistency in a peer-to-peer, partially observable, non-deterministic environment. We analyze the performance in comparison to a standard epidemic replication algorithm.
Multi-objective Optimal FSM State Assignment
Authors: Lech Jozwiak, Aleksander Slusarczyk, Dominik Gawlowski
Venue: Proceedings of the 9th EUROMICRO Conference on Digital System Design (2006)

The recent spectacular progress in modern microelectronics made possibe implementation of a complex system on a single chip, and created a big stimulus towards development of embedded systems for the existing and new applications. Unfortunately, it also introduced unusual complexity that results in many serious issues that cannot be resolved without new more adequate multi-objective circuit and system development methods and EDA-tools. As a part of our research that aims at development of such more adequate methods, we performed a comparative analysis of several representative commercial and academic synthesis methods and tools for the FPGAtargeted FSM synthesis, and developed a new FPGAtargeted multi-objective FSM state assignment method. In this paper, a part of results and conclusions from our research is discussed.
On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents
Authors: Carles Arus, Bernardo Celda, Srinandan Dasmahaptra, David Dupplaw, Horacio Gonzalez-Velez, Sabine Van Huffel, Paul Lewis, Magi Lluch i. Ariet, Mariola Mier, Andrew Peet, Montserrat Robles
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network of local databases or Data Marts. HealthAgents will not only develop new pattern recognition methods for a distributed classification and analysis of in vivo MRS and ex vivo/in vitro HRMAS and DNA data, but also define a method to assess the quality and usability of a new candidate local database containing a set of new cases, based on a compatibility score.
Optimal Initialization and Gossiping Algorithms for Random Radio Networks
Authors: Vlady Ravelomanana
Venue: IEEE Transactions on Parallel and Distributed Systems (2007)

The initialization problem, also known as naming, consists to give a unique identifier ranging from 1 to n to a set of n indistinguishable nodes in a given network. We consider a network where n nodes (processors) are randomly deployed in a square (respectively, cube) X. We assume that the time is slotted and the network is synchronous, two nodes are able to communicate if they are within distance at most of r of each other (r is the transmitting/receiving range). Moreover, if two or more neighbors of a processor u transmit concurrently at the same time slot, then u would not receive either messages. We suppose also that the anonymous nodes know neither the topology of the network nor the number of nodes in the network. Under this extremal scenario, we first show how the transmitting range of the deployed processors affects the typical characteristics of the network. Then, by allowing the nodes to transmit at various ranges we design sublinear randomized initialization protocols: In the two, respectively, three, dimensional case, our randomized initialization algorithms run in O(n^{1/2}\log n^{1/2}), respectively, O(n^{1/3}\log n^{2/3}), time slots. These latter protocols are based upon an optimal gossiping algorithm which is of independent interest.
Neural Basis of Endogenous and Exogenous Spatial Orienting: A Functional MRI Study
Authors: Allyson C. Rosen, Stephen M. Rao, Paolo Caffarra, Augusto Scaglioni, Julie A. Bobholz, Scott J. Woodley, Thomas A. Hammeke, Joseph M. Cunningham, Thomas E. Prieto, Jeffrey R. Binder
Venue: Journal of Cognitive Neuroscience (1999)

Whole-brain functional magnetic resonance imaging (MRI) was used to examine the neural substrates of internally (endogenous) and externally (exogenous) induced covert shifts of attention. Thirteen normal subjects performed three orienting conditions: endogenous (location of peripheral target predicted by a central arrow 80&percnt; of the time), exogenous (peripheral target preceded by a noninformative peripheral cue), and control (peripheral target preceded by noninformative central cue). Behavioral results indicated faster reaction times (RTs) for valid than for invalid trials for the endogenous condition but slower RTs for valid than for invalid trials for the exogenous condition (inhibition of return). The spatial extent and intensity of activation was greatest for the endogenous condition, consistent with the hypothesis that endogenous orienting is more effortful (less automatic) than exogenous orienting. Overall, we did not observe distinctly separable neural systems associated with the endogenous and exogenous orienting conditions. Both exogenous and endogenous orienting, but not the control condition, activated bilateral parietal and dorsal premotor regions, including the frontal eye fields. These results suggest a specific role for these regions in preparatory responding to peripheral stimuli. The right dorsolateral prefrontal cortex (BA 46) was activated selectively by the endogenous condition. This finding suggests that voluntary, but not reflexive, shifts of attention engage working memory systems.
Nonlinear Robust Control of a Magnetic Levitation System
Authors: Ting-En Lee, Juhng-Perng Su, Ker-Wei Yu
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

This paper deals with the design of a nonlinear robust control scheme for a magnetic levitation system. We define a new switching function to form a variable structure feedback control in order to help improve tracking performance of the system. We practically implemented the controller in an experimental magnetic levitation system and investigated its tracking performance. Because not all state variables of the system can be measured, we used an .... filter to estimate the unknown state variables. The experimental results on the controlled magnetic levitation system indicate the newly developed control scheme is effective in face of the highly nonlinearities and uncertainties of the magnetic system.
Complex interpolation for rational orthogonal signal approximation with applications
Authors: A. G. Constantinides, P. T. Stathaki
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

Orthogonal functions play a fundamental role in the representation of signals and are crucial in many forms of analysis and processing. The article is concerned with the discrete time Kautz (1954) extension of Laguerre functions as a basis of signal representation. There is a wealth of properties that follow from such functions that have profound implications in many areas of digital signal processing. The fundamental result is that the linear manifold of the projection of a given signal into the adopted space is obtainable by simple complex interpolation at a well defined set of points on the z-plane.
Suicide for the common good: a new strategy for credential revocation in self-organizing systems
Authors: Jolyon Clulow, Tyler Moore
Venue: ACM SIGOPS Operating Systems Review (2006)

We consider the problem of credential revocation in self-organizing systems. In the absence of a common trusted authority, reaching a decision is slow, expensive and prone to manipulation. We propose a radical, new strategy---suicide for the common good---which drastically simplifies the decision-making process and revocation orders. Our mechanism is fully decentralized, incurs low communication and storage overhead, enables fast removal of misbehaving nodes, and is ideally suited to highly mobile networks.
General Euler-Ostrowski formulae and applications to quadratures
Authors: I. Franjić, I. Perić, J. Pečarić
Venue: Applied Mathematics and Computation (2006)

The aim of this paper is to generalize inequality |f(x) - 1/b-a ∫ab f(s1) ds1 - f(b) - f(a)/b-a(x - a+b/2) -f'(b) - f'(a)/2(b-a).(x2-(a + b)x + a2 + b2 + 4ab/6)| ≤ ||f'''||∞.(b-a)3/6I(x-a/b-a) obtained in [A. Aglić Aljinović, M. Matić, J. Pečarić, Improvements of some Ostrowski type inequalities, J. Comput. Anal. Appl., in Press], and therefore obtain a generalization and improvement of inequality |f(x) - 1/b-a ∫ab f(s1) ds1 - f(b)-f(a)/b-a (x - a+b/2) -f'(b)-f'(a)/2(b - a)ċ(x2 - (a + b)x + a2 + b2 + 4ab/6)| ≤ ||f'''||∞ċA(x)/(b-a)3 obtained in [G.A. Anastassiou, Univariate Ostrowski inequalities, Revisited, Monatsh. Math. 135 (2002) 175-189]. To do this, first we derive general Euler-Ostrowski formulae which generalize extended Euler formulae, obtained in [Lj. Dedić, M. Matić, J. Pečarić, On generalizations of Ostrowski inequality via some Euler-type identities, Math. Inequal. Appl. 3(3) (2000) 337-353]. The main novelty is that a remainder is expressed in terms of Bn*(x-mt) which enables us to obtain a vide variety of quadrature formulae such as trapezoid, midpoint, bitrapezoid, twopoint formulae and their multipoint generalizations.
Semantic content analysis and user interfaces for instructional video indexing
Authors: John R. Kender
Venue:  (2006)

Video semantic content (high-level concepts) can be presented through many different visual presentations according to different video genres. The process of extracting the semantic content is complex, because it requires domain knowledge or user interaction. We concentrate our research on semantic content analysis for instructional videos, where the video text (including the instructor's handwriting) provides significant amounts of high-level information. We first extract text frames from instructional videos, remove redundant text frames, then enhance the visual quality of these text frames through multi-frame resolution enhancement methods from adjacent frames. These text frames provide image-level summaries of instructional videos. We further extract high-level concepts by topic word spotting techniques. We construct a topic word vocabulary from supplement materials like course syllabus, table of contents (TOC) of the text book, electronic slides, etc. Then starting from a dynamic programming analysis-by-synthesis technique, we implement both structure analysis-based and statistical handwriting recognition algorithms and explore the optimal handwritten word recognizer for videotext recognition. Using the optimal handwritten word recognizer, we match the topic words in the vocabulary against the handwritten word images segmented from text frames. We then construct a topic-frame matrix, and by querying this matrix with topic words in TOC, we are able to determine which chapter/topic is most likely discussed in each section of video. We design five novel graphic user interfaces (UI) to present this derived information and conduct user studies to evaluate the proposed UI and approaches. We confirm that our semantic search tools are preferred by users over traditional browsing tools.
A Health Check and Prediction System for Lifestyle-Related Disease Prevention
Authors: Xia Yu, Shuoyu Wang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Recently, with the westernized of culture and eating habits, lifestyle-related diseases, such as cancer, heart disease, apoplexy, had become the main reason of people's death in Japan. The accumulation of improper lifestyles such as stress, eating habits, smoking, drinking, is the inducement of the lifestylerelated disease. It is also found that lifestyle-related disease could be prevented with balanced lifestyles. Therefore, this research focuses on the construction of a health check and prediction system for lifestylerelated disease prevention by checking people's condition and lifestyles in everyday life. In this paper, firstly, the vague concept of medical knowledge is quantified by using fuzzy sets. Secondly, based on the Distance-Type Fuzzy Reasoning Method, a reasoning algorithm of health-check is built up. Furthermore, a method is proposed to predict the risk of lifestylerelated disease. Finally, the usability of proposed methods is verified by some experiments of developed health check and prediction system.
Multi-step density-based clustering
Authors: Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle
Venue: Knowledge and Information Systems (2006)

Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex distance measures are first choice but also simpler distance functions are available which can be computed much more efficiently. In this paper, we will demonstrate how the paradigm of multi-step query processing which relies on exact as well as on lower-bounding approximated distance functions can be integrated into the two density-based clustering algorithms DBSCAN and OPTICSE resulting in a considerable efficiency boost. Our approach tries to confine itself to ε-range queries on the simple distance functions and carries out complex distance computations only at that stage of the clustering algorithm where they are compulsory to compute the correct clustering result. Furthermore, we will show how our approach can be used for approximated clustering allowing the user to find an individual trade-off between quality and efficiency. In order to assess the quality of the resulting clusterings, we introduce suitable quality measures which can be used generally for evaluating the quality of approximated partitioning and hierarchical clusterings. In a broad experimental evaluation based on real-world test data sets, we demonstrate that our approach accelerates the generation of exact density-based clusterings by more than one order of magnitude. Furthermore, we show that our approximated clustering approach results in high quality clusterings where the desired quality is scalable with respect to (w.r.t.) the overall number of exact distance computations.
Measuring gaze direction perception capability of humans to design human centered communication systems
Authors: Tomoko Imai, Dairoku Sekiguchi, Masahiko Inami, Naoki Kawakami, Susumu Tachi
Venue: Presence: Teleoperators and Virtual Environments (2006)

We describe experiments designed to measure gaze direction perception capability of humans under face-to-face and display mediated conditions. Gaze perception capability was determined by means of the absolute values of the pitch differences between a looker's actual regards and participants' judgments. We compared the capability under face-to-face, stereoscopic image, and monoscopic image conditions. On average, participants perceived the looker's gaze direction most accurately under the face-to-face condition. As expected, the accuracy under the stereoscopic image condition was higher than the results obtained under the monoscopic image condition. However, individual data did not follow the expected order and our exploratory experiments showed that participants with narrower interpupillary distance than the distance between two stereo cameras had difficulty in judging gaze directions. We also found that the perception of the pitch component of gaze direction is affected by gaze transmission methods but the yaw component is robust and is not affected by the transmission conditions.
Fixing the emergency department: a transformational journey with EDSIM
Authors: Martin J. Miller, David M. Ferrin, Marcia G. Messer
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Hospitals today are investing time and money to expand and improve their Emergency Departments (ED). Using simulation to test their many improvement ideas can necessitate running numerous scenarios. Model changes such as the number of ED beds, inpatient beds and process improvements will yield an exponentially growing list of permutations in alternative ED designs. This paper uses recent project experience to describes where to begin and which steps to take to go from an As-Is ED configuration to the best To-Be configuration.
Intelligent Guessing
Authors: Daniel E. O'Leary
Venue: IEEE Intelligent Systems (2006)

Guessing is what we do when logic and information don't provide sufficient insight to answer a question completely. Current theories and research on intelligent guessingthat is, guessing that's tied to a rational processare limited and disjoint. An integrated theory of intelligent guessing could provide an organizing theme for research currently performed under multiple AI subdisciplines.This article is part of a special issue on the Future of AI.
Nonparametric estimation of the stationary M/G/1 workload distribution function
Authors: Martin B. Hansen
Venue: Proceedings of the 37th conference on Winter simulation (2005)

In this paper it is demonstrated how a nonparametric estimator of the stationary workload distribution function of the M/G/1-queue can be obtained by systematic sampling the workload process. Weak convergence results and bootstrap methods for empirical distribution functions for stationary associated sequences are used to derive asymptotic results and bootstrap methods for inference about the workload distribution function. The potential of the method is illustrated by a simulation study of the M/D/1 model.
A framework for role-based group deligation in distributed environments
Authors: Hua Wang, Jiuyong Li, Ron Addie, Stijn Dekeyser, Richard Watson
Venue: Proceedings of the 29th Australasian Computer Science Conference - Volume 48 (2006)

Role-based delegation model (RBDM) based on the role-based access control (RBAC) has proven to be a flexible and useful access control model for information sharing in a distributed collaborative environment. In today's highly dynamic distributed systems, a user often needs to delegate a role to all members of a group at the same time. It presents the challenge of how to build a role-based group delegation framework within RBAC in distributed environment.This paper aims to build a group delegation framework within RBAC. The framework includes a role-based group delegation granting model, group delegation revocation model, granting authorization and revocation authorization. We analyze various revocations and the impact of revocations on role hierarchies. The implementation with XML based tools demonstrates the framework and authorization methods. Finally, comparisons with other related work are indicated.
An Automatic Extraction Method of Time-Series Impression-Metadata for Color Information of Video Streams
Authors: Nobuko Miura, Shuichi Kurabayashi, Yasushi Kiyoki
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

In this paper, we present a metadata extraction method for temporal transitional impression of video streams. The main feature of our method is automatic extraction of timeseries impression-metadata, which represent temporal transitional impressions according to color information. In our method, users can intuitively search various video streams regarding color information on the basis of abstract impression preference. In this paper, we also show the feasibility of our method by several experimental results.
A Genetic Approach for Coordinate Transformation of GPS Signals
Authors: Chih-Hung Wu, Hung-Ju Chou, Wei-Han Su
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Traditional approach for coordinate transformation is a level-wised process where several sets of equations obtained by geographical survey are invoked, which makes the whole process complicated and introduces the accumulation of calculating errors. This paper presents a geneticbased approach for finding symbolic formulas for transforming coordinate signals received from GPS. In this way, the receiver's position can be obtained much faster with less computational complexity. We test this concept on different areas in Taiwan and find several new equations that can effectively and better produce accurate coordinates.