ppxscal/embedding_network huggingface dataset:
PLS regression: a directional signal-to-noise ratio approach
Authors: Pierre Druilhet, Alain Mom
Venue: Journal of Multivariate Analysis (2006)

We present a new approach to univariate partial least squares regression (PLSR) based on directional signal-to-noise ratios (SNRs). We show how PLSR, unlike principal components regression, takes into account the actual value and not only the variance of the ordinary least squares (OLS) estimator. We find an orthogonal sequence of directions associated with decreasing SNR. Then, we state partial least squares estimators as least squares estimators constrained to be null on the last directions. We also give another procedure that shows how PLSR rebuilds the OLS estimator iteratively by seeking at each step the direction with the largest difference of signals over the noise. The latter approach does not involve any arbitrary scale or orthogonality constraints.
A Computational Framework for Human/Agent Communication Using Argumentation, Implicit Information, and Social Influence
Authors: Jamal Bentahar, Karim Bouzoubaa, Bernard Moulin
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

In this paper, we propose a new computational framework for human/agent communication. The main objective is to allow software agents to participate in flexible communications with human and to be efficient in these communications. To be flexible and efficient, artificial agents in our model are able to: 1) deal with the implicit aspects of conversations by considering the non literal level of speech acts; 2) reason on their internal states and on the conversation state using argumentation abilities; and 3) manage the social influence. Our framework is based on the philosophical foundations provided by speech act theory, argumentation theory, and social commitments.
Risk management in supply networks using monte-carlo simulation
Authors: Léa A. Deleris, Feryal Erhun
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Trends such as (I) globalization, (2) heavy reliance on transportation and communication infrastructures, and (3) lean manufacturing have led to an increase in the vulnerability of supply networks. Due to a large number of interrelated processes and products, disruptions caused by these vulnerabilities propagate rapidly. Firms, however, can partially control the robustness and resilience of their supply networks through strategic and tactical decisions. Therefore, a decision-support tool that assists managers to evaluate the risk exposure of their supply networks can considerably increase the robustness/resilience of these networks. In this study, we present a Monte Carlo simulation based tool designed to assess uncertainty in supply networks. We describe its application and discuss the possible drawbacks of our approach.
A Random Jitter Extraction Technique in the Presence of Sinusoidal Jitter
Authors: Jiun-Lang Huang
Venue: Proceedings of the 15th Asian Test Symposium (2006)

In this paper, a random jitter (RJ) extraction technique in the presence of sinusoidal jitter (SJ) is proposed for onchip jitter tolerance testing applications. First, the periodtracking technique [4] is utilized to derive the SJ frequency and amplitude information. Then, using the same designfor- test (DfT) circuitry, samples from the total jitter cumulative distribution function (CDF) are taken. From the SJ information and CDF samples, a binary search method is utilized to obtain the RJ sigma value. The features of the proposed technique include low delay line resolution requirement and high process variation tolerance. Simulation results are performed and shown to validate the proposed technique
Finitely presentable tree series
Authors: Symeon Bozapalidis, Olympia Louskou-Bozapalidou
Venue: Acta Cybernetica (2006)

Tree height is known to be a non-recognizable series. In this paper, we detect two remarkable classes where this series belongs: that of polynomially presentable tree series and that of almost linearly presentable tree series.Both the above classes have nice closure properties, and seem to constitute the first levels of a tree series hierarchy which starts from the class of recognizable treeseries.
A Study on Efficient Access Control for XML Ducuments
Authors: Naotake Kitagawa, Masatoshi Yoshikawa
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

In access control for XML (Extensible Markup Language) documents, the security level for particular XML nodes differs depending on the user's id or role. In this paper, we introduce Policy Tables for each roles, and discuss optimization of these tables. In general, there is a trade-off between the power of policy description and the time required for an access decision. We discuss two approaches to the reduction of time for the access decision. The first is the creation of the Policy Tables beforehand. The second approach is a simplification of the Policy Tables by exploiting the consecutive property of the decision result for XML elements.
Time-stamps for Mazurkiewicz traces
Authors: Wiesław Zielonka
Venue: Theoretical Computer Science (2006)

We construct a new time-stamp system for Mazurkiewicz traces. We begin by constructing a sequential time-stamp system which turns out to be optimal for a certain class of time-stamps. In the next step we show that this time-stamp system can be adapted for Mazurkiewicz traces, i.e. it can be used also in a distributed environment.
Motor Sequence Complexity and Performing Hand Produce Differential Patterns of Hemispheric Lateralization
Authors: Kathleen Y. Haaland, Catherine L. Elsinger, Andrew R. Mayer, Sally Durgerian, Stephen M. Rao
Venue: Journal of Cognitive Neuroscience (2004)

Studies in brain damaged patients conclude that the left hemisphere is dominant for controlling heterogeneous sequences performed by either hand, presumably due to the cognitive resources involved in planning complex sequential movements. To determine if this lateralized effect is due to asymmetries in primary sensorimotor or association cortex, whole-brain functional magnetic resonance imaging was used to measure differences in volume of activation while healthy right-handed subjects performed repetitive (simple) or heterogeneous (complex) finger sequences using the right or left hand. Advanced planning, as evidenced by reaction time to the first key press, was greater for the complex than simple sequences and for the left than right hand. In addition to the expected greater contralateral activation in the sensorimotor cortex (SMC), greater left hemisphere activation was observed for left, relative to right, hand movements in the ipsilateral left superior parietal area and for complex, relative to simple, sequences in the left premotor and parietal cortex, left thalamus, and bilateral cerebellum. No such volumetric asymmetries were observed in the SMC. Whereas the overall MR signal intensity was greater in the left than right SMC, the extent of this asymmetry did not vary with hand or complexity level. In contrast, signal intensity in the parietal and premotor cortex was greater in the left than right hemisphere and for the complex than simple sequences. Signal intensity in the caudal anterior cerebellum was greater bilaterally for the complex than simple sequences. These findings suggest that activity in the SMC is associated with execution requirements shared by the simple and complex sequences independent of their differential cognitive requirements. In contrast, consistent with data in brain damaged patients, the left dorsal premotor and parietal areas are engaged when advanced planning is required to perform complex motor sequences that require selection of different effectors and abstract organization of the sequence, regardless of the performing hand.
iHIDE: Hiding Sources of Information in WSNs
Authors: L. Kazatzopoulos, C. Delakouridis, G. F. Marias, P. Georgiadis
Venue: Proceedings of the Second International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing (2006)

In the most deployment scenarios of Wireless Sensor Networks (WSNs) the sensors are statically distributed and configured to propagate the captured information towards the sink-sensor. This information might be unclassified, such as environmental data, or private, such as the location of an important asset. In the latter case, security mechanisms might be essential to ensure the confidentiality of the location of the information source. Such mechanisms might exploit light cryptographic systems, such us Elliptic Curve, to authenticate and cipher the information that is relayed towards the sink. On the other hand, the static configuration of WSNs might simplify the apocalypses of the information source. An eavesdropper might use reverse packet-routing engineering to expose the location of the sensor that captured and reported the phenomenon. To deal with this issue, we have introduced a novel approach, called iHIDE - information HIding in Distributing Environments, to enable sourcelocation privacy in WSNs. iHIDE adopts a non- geographical, overlay routing method for packet delivery. This paper introduces the architecture, and assesses its performance through simulation experiments, providing comparisons with relative approaches.
Virtual Multiresolution Screen Space Errors: Hierarchical Level-of-Detail (HLOD) Refinement Through Hardware Occlusion Queries
Authors: Jean Pierre Charalambos
Venue: Proceedings of the conference on Geometric Modeling and Imaging: New Trends (2006)

We present a novelty metric to perform the refinement of a HLOD-based system that takes into account visibility information. The information is gathered from the result of a hardware occlusion query (HOQ) performed on the bounding volume of a given node in the hierarchy. Although the advantages of doing this are clear, previous approaches treat refinement criteria and HOQ as independent subjects. For this reason, HOQs have been used restrictively as if their result were boolean. In contrast to that, we fully exploit the results of the queries to be able to take into account visibility information within refinement conditions. We do this by interpreting the result of a given HOQ as the virtual resolution of a screen space where the refinement decision takes place. Our new error metric is general enough to be employed in any HLOD-based system as the quantity that guides its refinement. Despite its simplicity, in our experiments we obtained a meaningful performance boost (compared to previous approaches) in the frame-rate with almost no loss in image quality.
A real time MIMO OFDM testbed for cognitive radio & networking research
Authors: Weijun Zhu, Babak Daneshrad, Jatin Bhatia, Jesse Chen, Hun-Seok Kim, Karim Mohammed, Omar Nasr, Sandeep Sasi, Anish Shah, Minko Tsai
Venue: Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation characterization (2006)

A real time, 2 Mbps to 200 Mbps portable radio unit with MIMO and sensing capability which exposes all the PHY parameters to the higher layers will help advance experimental cognitive radio (CR), and wireless networking research. Collaboration between Silvus Communication Systems and the UCLA WISR group has resulted in the first generation radio specifically designed to meet the needs of the CR and wireless networking community. The current platform is based on a COTS FPGA platform with dual-band RF capabilities. It implements a slight variant of the 802.11n draft spec. It is a fully self contained PHY solution with over 100 unique modes of operation. Moreover it features a robust API to the MAC through which all PHY parameters can be controlled on a per-packet basis. The same API will allow the PHY to communicate channel state information, SNR, and RSSI measurements to the MAC. A 16 micro-second packet decode latency ensures that the PHY processing does not inhibit the system's fast response to changing channel and interference condition.
Game Character's Active Facial Color Engine based on the Theory of Emotion-Color Association
Authors: Kyu-Ho Park, Kyoung-Nam Kim, Nam-Keum Doh, Tae-Yong Kim
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

The graphical expressions and artificial intelligence of Characters have been continuously improving, spurred by the astonishing growth of the game technology industry. Despite such improvements, users are still demanding a more natural gaming environment and reflections of true human emotions. However, the emotions that can be expressed are strictly limited because the facial colors and expressions of current Game Characters are hardly noticeable. Such restrictions can prevent the users from getting into the game. To address this, we developed the Facial Color Engine, which is a combination emotional model based on human cultural theory, emotional expression pattern using colors, and emotional reaction speed function, as opposed to the past methods that expressed emotion through blood flow, pulse, or skin temperature. The reflection of the game character's emotion on it's skin color will increase user immersion into the game and encourage further game development using our sensibility engine.
Mobile Broadband Race: Friend or Foe?
Authors: Chor Min Tan, Chin Chin Wong
Venue: Proceedings of the International Conference on Mobile Business (2006)

The wireless industry could evolve in many different ways over the next five to ten years, demanding robust strategies from network operators, vendors, regulators, and service and content providers. Competitive scenario suggests a fragmented market with diverse opportunities for all wireless players. With the advances of telecommunications, there exist a plethora of radio technologies where a number of them have an overlapping marketplace. The study analyses the current trends of these different broadband wireless options, with particular emphasis on Wi-Fi1, WiMAX^2, WiBro^3, HSDPA/HSUPA^4, EV-DO^5, and Mobile-Fi; from both technology and market segmentation perspectives. It is learned that despite the intense competitions among these technologies, they would, and could, complement each other in many aspects. The main aim of the study is to revise previous understanding of various wireless technologies and generate insight about the fundamental factors that guide the evolution of mobile broadband development now and in the future.
Observations at the J user conference: held at the University of Toronto
Authors: Clifford A. Reiter, William R. Jones
Venue: ACM SIGAPL APL Quote Quad (1996)

The Conference Attendees were graciously greeted and registered on Monday morning. Coffee and other goodies were available and the hundred plus attendees quickly fell into spirited conversation. In fact, there always seemed to be snacks or lunch and conversation outside the lecture rooms where Strand had software, books and T-shirts available and demonstration machines were set up. A table was covered with papers from the talks and from some non-presenters. The rooms in the Koffler Institute for Pharmacy Management were comfortable and each contained an overhead and computer demonstration equipment.
Lung Cancer Diagnosis System Based on Support Vector Machines and Image Processing Technique
Authors: Kewen Xia, Guan Xu, Naixun Xu
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

Most traditional medical diagnosis systems are founded on huge quantity of training data. However, on the occasion that very little volume of data is available, the traditional diagnosis systems derive defects such as larger error. Focused on the solution to this problem, a medical diagnosis system based on least square support vector machines (LS-SVM) is presented. Promoted training algorithm is introduced and applied on the lung cancer diagnosis system based on chest CT image. Diagnosis parameters acquisition is achieved with image processing methods, involving binarization, object selection and perimeter extraction technique in vision domain and single-level discrete 2-D wavelet transform technique in wavelet domain. Result of system training and recognition show that when limited quantity of training data are available, the system is capable of recognizing the situation and location of lung cancer. Further, the system displays superior ability of globalization to traditional systems.
Protecting Privacy in Key-Value Search Systems
Authors: Yinglian Xie, Michael K. Reiter, David O'Hallaron
Venue: Proceedings of the 22nd Annual Computer Security Applications Conference (2006)

This paper investigates the general problem of efficiently performing key-value search at untrusted servers without loss of user privacy. Given key-value pairs from multiple owners that are stored across untrusted servers, how can a client efficiently search these pairs such that no server, on its own, can reconstruct the key-value pairs? We propose a system, called Peekaboo, that is applicable and practical to any type of key-value search while protecting both data owner privacy and client privacy. The main idea is to separate the key-value pairs across different servers. Supported by access control and user authentication, Peekaboo allows search to be performed by only authorized clients without reducing the level of user privacy.
CADRE: A Collaborative replica allocation and deallocation approach for Mobile-P2P networks
Authors: Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa
Venue: Proceedings of the 10th International Database Engineering and Applications Symposium (2006)

This paper proposes CADRE (Collaborative Allocation and Deallocation of Replicas with Efficiency), a dynamic replication scheme for improving the typically low data availability in mobile ad-hoc peer-to-peer (M-P2P) networks. The main contributions of CADRE are two-fold. First, it collaboratively performs both replica allocation and deallocation in tandem to facilitate optimal replication and to avoid 'thrashing' conditions. Second, it addresses fair replica allocation across the MHs. CADRE deploys a hybrid super-peer architecture in which some of the MHs act as the 'gateway nodes' (GNs) in a given region. GNs facilitate both search and replication. Our performance study indicates that CADRE indeed improves query response times and data availability in M-P2P networks as compared to some recent existing schemes.
Instantiating the contingent bids model of truthful interdependent value auctions
Authors: Takayuki Ito, David C. Parkes
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

We consider the problem of auction design with agents that have interdependent values, i.e. values that depend on each others' private signals. We adopt the contingent bids model of Dasgupta and Maskin [3], and allow agents to submit bids of the form "if player 1 bids $x for good A then I will bid $y." Our main contribution is to identify a specific linear valuation model for which there exists an efficient auction for a single item, and then extend this to provide an approximately efficient combinatorial auction with single-minded bidders. In both auction, winners and payments are computed from the fixed point of the valuation mapping defined by contingent bids. We also adopt search in order to construct a variation on the single-item auction with improved revenue. In closing, we discuss the (many) challenges in moving to more general models of interdependent valuations.
Biometric Verification: Looking Beyond Raw Similarity Scores
Authors: Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Most biometric verification techniques make decisions based solely on a score that represents the similarity of the query template with the reference template of the claimed identity stored in the database. When multiple templates are available, a fusion scheme can be designed using the similarities with these templates. Combining several templates to construct a composite template and selecting a set of useful templates has also been reported in addition to usual multi-classifier fusion methods when multiple matchers are available. These commonly adopted techniques rarely make use of the large number of non-matching templates in the database or training set. In this paper, we highlight the usefulness of such a fusion scheme while focusing on the problem of fingerprint verification. For each enrolled template, we identify its cohorts (similar fingerprints) based on a selection criterion. The similarity scores of the query template with the reference template and its cohorts from the database are used to make the final verification decision using two approaches: a likelihood ratio based normalization scheme and a Support Vector Machine (SVM)-based classifier. We demonstrate the accuracy improvements using the proposed method with no a priori knowledge about the database or the matcher under consideration using a publicly available database and matcher. Using our cohort selection procedure and the trained SVM, we show that accuracy can be significantly improved at the expense of few extra matches.
Real-time deformation of structure using finite element and neural networks in virtual reality applications
Authors: Ridha Hambli, Abdessalam Chamekh, Hédi Bel Hadj Salah
Venue: Finite Elements in Analysis and Design (2006)

In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment.A tennis racket and ball are used to illustrate the capability of the proposed method.Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation.The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value.The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.
Context-Aware Mobile Tour Guide
Authors: Kaiyu Wan, Vasu Alagar
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

This paper discusses the requirements for a contextaware mobile tour guide (MTG) and proposes a design for constructing it. With increasing wireless and network connectivity available in the world today, a MTG device will be a powerful hand-held device for adaptive information gathering, query processing, and collaborative work among ad hoc groups of people. By mapping the requirements onto layered functional units and including the user as part of the system design the system complexity is reduced while enhancing the system usability.