ppxscal/embedding_network huggingface dataset:
A motivational model of action selection for virtual humans
Authors: E. de Sevin, D. Thalmann
Venue: Proceedings of the Computer Graphics International 2005 (2005)

Nowadays virtual humans such as non-player characters in computer games need to have a real autonomy in order to live their own life in persistent virtual worlds. When designing autonomous virtual humans, the action selection problem needs to be considered, as it is responsible for decision making at each moment in time. Action selection architectures for autonomous virtual humans should be individual, motivational, reactive and proactive to obtain a high degree of autonomy. This paper describes in detail our motivational model of action selection for autonomous virtual humans in which overlapping hierarchical classifier systems, working in parallel to generate coherent behavioral plans, are associated with the functionalities of a free flow hierarchy to give reactivity to the hierarchical system. Finally, results of our model in a complex simulated environment, with conflicting motivations, demonstrate that the model is sufficiently robust and flexible for designing motivational autonomous virtual humans in real-time.
Harmonic wave generation in non linear thermoelasticity by variational iteration method and Adomian's method
Authors: N. H. Sweilam
Venue: Journal of Computational and Applied Mathematics (2007)

This paper applies the variational iteration method and Adomian's decomposition method to solve numerically the harmonic wave generation in a nonlinear, one-dimensional elastic half-space model subjected initially to a prescribed harmonic displacement. The results show that the variational iteration method is much easier, more convenient, and more stable and efficient than Adomian decomposition method.
Nonlinear system identification of hydraulic actuator friction dynamics using a finite-state memory model
Authors: Byung-Jae Kwak
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

We present a finite-state memory model for parametric system identification of the lip seal friction process in a hydraulic actuator. The performance of the finite-state memory model is compared with two Hammerstein type models using experimental results.
HMM training based on quality measurement
Authors: Yuqing Gao
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01 (1999)

Two discriminant measures for HMM states to improve the effectiveness on HMM training are presented. In HMM based speech recognition, the context-dependent states are usually modeled by Gaussian mixture distributions. In general, the number of Gaussian mixtures for each state is fixed or proportional to the amount of training data. From our study, some of the states are "non-aggressive" compared to others, and a higher acoustic resolution is required for them. Two methods are presented in this paper to determine those non-aggressive states. The first approach uses the recognition accuracy of the states and the second method is based on a rank distribution of states. Baseline systems, trained by a fixed number of Gaussian mixtures for each state, having 33 K and 120 K Gaussians, yield 14.57% and 13.04% word error rates, respectively. Using our approach, a 38 K Gaussian system was constructed that reduces the error rate to 13.95%. The average ranks of non-aggressive states in rank lists of testing data were also seen to dramatic improve compared to the baseline systems.
Meta-State Conversion
Authors: H. G. Dietz, G. Krishnamurthy
Venue: Proceedings of the 1993 International Conference on Parallel Processing - Volume 02 (1993)

In MIMD (Multiple Instructionm Strea, Multiple Data Stream) execution, each processor has its own state.
Using Weak Bisimulation for Enterprise Integration Architecture Formal Verification--I
Authors: Ernest Cachia, Mark Vella
Venue: Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (2007)

Weak Bisimulation is a process calculus equivalence relation, applied for the verification of communicating concurrent systems [26]. In this paper we propose the application of Weak Bisimulation for Enterprise Application Integration verification. Formal verification is carried out by taking the system specification and design models of an integrated system and converting them into value passing CCS (Calculus of Communicating Systems) processes. If a Weak Bisimulation relation is found between the two models, then it could be concluded that the EI Architecture is a valid one. The formal verification of an EI Architecture would give value to an EI project framework, allowing the challenge of cumbersome and complex testing typically faced by EI projects [18], to be alleviated, and thus increasing the possibility of a successful EI project, delivered on time and within the stipulated budgeted costs. This paper shows the applicability of value passing CCS (or equivalent) formal notation to model the EI systems characteristics, as well as investigates into the computation complexity of available weak bisimulation algorithms, in order to analyze the applicability of this proposition in real life.
How Can Activity-Based Costing Methodology Be Performed as a Powerful Tool to Calculate Costs and Secure Appropriate Patient Care?
Authors: Blossom Yen-Ju Lin, Te-Hsin Chao, Yuh Yao, Shu-Min Tu, Chun-Ching Wu, Jin-Yuan Chern, Shiu-Hsiung Chao, Keh-Yuong Shaw
Venue: Journal of Medical Systems (2007)

Previous studies have shown the advantages of using activity-based costing (ABC) methodology in the health care industry. The potential values of ABC methodology in health care are derived from the more accurate cost calculation compared to the traditional step-down costing, and the potentials to evaluate quality or effectiveness of health care based on health care activities. This project used ABC methodology to profile the cost structure of inpatients with surgical procedures at the Department of Colorectal Surgery in a public teaching hospital, and to identify the missing or inappropriate clinical procedures. We found that ABC methodology was able to accurately calculate costs and to identify several missing pre- and post-surgical nursing education activities in the course of treatment.
Compression of a Set of Strings
Authors: Jan Lansky, Michal Zemliicka
Venue: Proceedings of the 2007 Data Compression Conference (2007)

Dictionary is used by many compression methods. Some of them put the dic- tionary into the compressed message. In such cases the improvements in dictionary compression can improve the performance of the compression methods. We have focused on compression of dictionaries of words or syllables.
Enforcing access control over data streams
Authors: Barbara Carminati, Elena Ferrari, Kian Lee Tan
Venue: Proceedings of the 12th ACM symposium on Access control models and technologies (2007)

Access control is an important component of any computational system. However, it is only recently that mechanisms to guard against unauthorized access for streaming data have been proposed. In this paper, we study how to enforce the role-based access control model proposed by us in [5]. We design a set of novel secure operators, that basically filter out tuples/attributes from results of the corresponding (non-secure) operators that are not accessible according to the specified access control policies. We further develop an access control mechanism to enforce the access control policies based on these operators. We show that our method is secure according to the specified policies.
A hybrid blob- and appearance-based framework for multi-object tracking through complex occlusions
Authors: Li-Qun Xu, Pere Puig
Venue: Proceedings of the 14th International Conference on Computer Communications and Networks (2005)

Static and dynamic occlusions due to stationary scene structures and/or interactions between moving objects are a major concern in tracking multiple objects in dynamic and cluttered visual scenes. We propose a hybrid blob- and appearance-based analysis framework as a solution to the problem, exploiting the strength of both. The core of this framework is an effective probabilistic appearance based technique for complex occlusions handling. We introduce in the conventional likelihood function a novel 'spatial-depth affinity metric' (SDAM), which utilises information of both spatial locations of pixels and dynamic depth ordering of the component objects forming a group, to improve object segmentation during occlusions. Depth ordering estimation is achieved through a combination of top-down and bottom-up approach. Experiments on some real-world difficult scenarios of low resolution and highly compressed videos demonstrate the very promising results achieved.
Collective Team Identification in Temporary Teams
Authors: Mary R. Lind
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Knowledge work often involves work in temporary teams. Increasingly these teams are not face-to-face but virtual teams. This paper explores collective team identification in face-to-face and virtual teams. Exploratory factor analysis and second order confirmatory factor analysis are used to examine collective team identification of face-to-face versus virtual teams of knowledge workers in terms of cohesion, trust, and intra-group conflict.
On the necessary density for spectrum-blind nonuniform sampling subject to quantization
Authors: M. Gastpar
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

It is known that in the absence of distortion, the necessary sampling density for a multiband signal is given by its spectral occupancy. However, in general, the samples have to be acquired nonuniformly. There exist sampling patterns such that reconstruction is feasible even if the actual spectral support of the multiband signal is not known. If the samples are distorted, an increased sampling density may lead to a superior performance. In this paper, we consider the case of small distortion due to fine quantization of the samples, and we derive a necessary condition on the optimal sampling density.
Wavelet based corner detection using singular value decomposition
Authors: A. Quddus
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in the discrete wavelet transform. We define natural scale as the level associated with most prominent (dominant) eigenvalue. The eigenvector corresponding to the dominant eigenvalue is considered as the natural scale. The corners are detected at the locations corresponding to modulus maxima. Results show the suitability of the approach. Comparison with a recently proposed technique is also provided.
Improvised music with swarms
Authors: T. M. Blackwell, P. Bentley
Venue: Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02 (2002)

This paper describes SWARMUSIC, an interactive music improviser. A particle swarm algorithm generates musical material by a mapping of particle positions onto events in MIDI space. Interaction with an external musical source arises through the attraction of the particle swarm to a target. SWARMUSIC is the first application of swarm intelligence to music.
Blockiness detection in compressed data
Authors: G. A. Triantafyllidis
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03 (2001)

A novel frequency domain technique for image blocking artifact detection is presented. The algorithm detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function. Experimental results illustrating the performance of the proposed method are presented and evaluated.
Multiple-input-multiple-output blind system identification based on cross-polyspectra
Authors: B. Chen
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

In this paper we propose a novel frequency domain approach for the n/spl times/n MIMO identification problem. The proposed method is a subspace approach that estimates the parameters of a FIR MIMO system, driven by temporally i.i.d. and spatially independent non-Gaussian processes, using cross poly-spectra of any order and cross-power spectra of the system output. Extensions to the case of non-white input signals are also discussed. Simulation results are provided to illustrate the performance of the new algorithm.
When Bits Bite
Authors: Charles Day
Venue: Computing in Science and Engineering (2007)

Columnist Charles Day compares real life to science fiction as he takes a closer look at "Species."
A Coherent Strategy for Data Security through Data Governance
Authors: Roland L. Trope, E. Michael Power, Vincent I. Polley, Bradford C. Morley
Venue: IEEE Security and Privacy (2007)

The role of boards of directors now extends to ensuring that a company's data is actively managed in an increasingly technology-intense environment. The authors show how this requires greater attention to legislative requirements, greater due diligence in transactions and business alliances, and coherent information management strategies.
An Artificial Immune System Approach for Fault Prediction in Object-Oriented Software
Authors: Cagatay Catal, Banu Diri, Bulent Ozumut
Venue: Proceedings of the 2nd International Conference on Dependability of Computer Systems (2007)

The features of real-time dependable systems are availability, reliability, safety and security. In the near future, real-time systems will be able to adapt themselves according to the specific requirements and real-time dependability assessment technique will be able to classify modules as faulty or fault-free. Software fault prediction models help us in order to develop dependable software and they are commonly applied prior to system testing. In this study, we examine Chidamber-Kemerer (CK) metrics and some method-level metrics for our model which is based on Artificial Immune Recognition System (AIRS) algorithm. The dataset is a part of NASA Metrics Data Program and class-level metrics are from PROMISE repository. Instead of validating individual metrics, our mission is to improve the prediction performance of our model. The experiments indicate that the combination of CK and the lines of code metrics provide the best prediction results for our fault prediction model. The consequence of this study suggests that class-level data should be used rather than methodlevel data to construct relatively better fault prediction models. Furthermore, this model can constitute a part of real-time dependability assessment technique for the future.
D-Swoosh: A Family of Algorithms for Generic, Distributed Entity Resolution
Authors: Omar Benjelloun, Hector Garcia-Molina, Heng Gong, Hideki Kawai, Tait E. Larson, David Menestrina, Sutthipong Thavisomboon
Venue: Proceedings of the 27th International Conference on Distributed Computing Systems (2007)

Entity Resolution (ER) matches and merges records that refer to the same real-world entities, and is typically a compute-intensive process due to complex matching functions and high data volumes. We present a family of algorithms, D-Swoosh, for distributing the ER workload across multiple processors. The algorithms use generic match and merge functions, and ensure that new merged records are distributed to processors that may have matching records. We perform a detailed performance evaluation on a testbed of 15 processors. Our experiments use actual comparison shopping data provided by Yahoo!. (keywords: Entity Resolution, Information Integration, Data Cleaning)
Freshmen can do rigorous open-ended design
Authors: R. L. McConnell, W. Venable, A. Stiller
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

The College of Engineering at West Virginia University is experimenting with a new approach to freshmen engineering courses. These courses are based on engineering design projects, but the focus is on integrating math and science course material into the design project. Thus, to do the design, students are asked to utilize math and science principles from their courses via models for the design object. The results of the student designs indicate that mathematically rigorous and scientifically sound designs can be accomplished by freshmen students. Many of the freshmen designs rival upper class designs for similar projects.
Generalized unequal length lapped orthogonal transform for subband image coding
Authors: T. Nagai
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

In this paper, generalized linear phase lapped orthogonal transforms with unequal length basis functions (GULLOT) are considered. The length of each basis of the proposed GULLOT can be different from each other, while all the bases of the conventional GenLOT are of equal length. In order to apply the GULLOT to subband image coding, we also investigate the size-limited structure to process the finite length signal which is important in practice.
The design of maximally smooth wavelets
Authors: M. Lang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

A method for designing more regular (more differentiable) scaling functions than the Daubechies (1992) wavelets is presented. The approach is to numerically minimize the Holder exponent (a measure of smoothness) subject to constraints on the autocorrelation sequence of the scaling filter. The "maximally smooth" wavelets which result have a Holder exponent which grows faster than that of the Daubechies orthogonal wavelets, as the filter length increases. This is achieved by relaxing some of the vanishing moment conditions.
Double integral calculus of variations on time scales
Authors: Martin Bohner, Gusein Sh. Guseinov
Venue: Computers Mathematics with Applications (2007)

We consider a version of the double integral calculus of variations on time scales, which includes as special cases the classical two-variable calculus of variations and the discrete two-variable calculus of variations. Necessary and sufficient conditions for a local extremum are established, among them an analogue of the Euler-Lagrange equation.
A Perceptron Based Classifier for Detecting Malicious Route Floods in Wireless Mesh Networks
Authors: Lakshmi Santhanam, Anindo Mukherjee, Raj Bhatnagar, Dharma P. Agrawal
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2007)

Wireless Mesh Networks (WMN) are evolving as a new paradigm for broadband Internet, in which a group of static mesh routers employ multihop forwarding to provide wireless Internet connectivity. All routing protocols in WMNs naively assume nodes to be nonmalicious. But, the plug-in-and-play architecture of WMNs paves way for malicious users who could exploit some loopholes of the underlying routing protocol. A malicious node can inundate the network by conducting frequent route discovery which severely reduces the network throughput. In this paper, we investigate the detection of route floods by incorporating a machine learning technique. We use a perceptron training model as a tool for intrusion detection. We train the perceptron model by feeding various network statistics and then use it as a classifier. We illustrate using an experimental wireless network (ns-2) that the proposed scheme can accurately detect route misbehaviors with a very low false positive rate.
Adaptive subband video coding using bivariate generalized Gaussian distribution model
Authors: M. Z. Coban
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

A multidimensional probabilistic modeling technique is proposed and its applications to video coding is presented. The probability distribution of two adjacent pixels in subband signals are modeled by bivariate generalized Gaussian distributions (GGD). Quantizer design, bit allocation and entropy coding is based on this probability distribution function (PDF) model. We show that use of bivariate generalized Gaussian PDF models yields a significant improvement in rate-distortion performance over univariate GGD models.
Networked Innovation Management: A Framework and Case Application
Authors: Jouni Koivuniemi, Jan Edelmann
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

This paper presents a framework for networked innovation management from the point of view of the firm within its external innovation ecosystem. The framework binds together the concepts of competition, the dynamic capability view of the firm, and open innovation. The implementation of the model is illustrated with a case study to analyze the anticipated structural changes in the pulp and paper industry, and their respective potential effects on the firm-level innovation management and processes. The main argument of the paper is that the firm-level mechanisms for innovation need to be closely connected to the competitive environment of a firm in order to recognize the essential development needs and means of innovation processes under industry changes. This is the point of departure towards sustainable innovation capability in strongly networked business environment.
A topology-aware hierarchical structured overlay network based on locality sensitive hashing scheme
Authors: Guangtao Xue, Yi Jiang, Yinyuan You, Minglu Li
Venue: Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks (2007)

The DHT scheme without any knowledge about underlying physical topology could cause a serious topology mismatching between the P2P overlay network and the physical underlying network. In this paper, a new mechanism, TSO, is proposed for constructing the two layer topology-aware structured overlay network based on locality sensitive hashing scheme. In TSO, the physical close nodes have been clustered into a local level P2P ring which is regarded as a virtual node in the high level Chord ring of the overall P2P overlay network. A large portion of routing hops previously executed in the global P2P ring are now replaced by hops in local level rings, thus routing overheads can be reduced. The intensive simulation experiments, we have shown the effectiveness of TSO.
Research Perspectives on Collaborative Infrastructures for Collaborative Work Environments
Authors: Isidro Laso-Ballesteros
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

Collaborative infrastructures are emerging as one of the key elements to enable collaborative applications for human-centric collaboration. These infrastructures have to provide the system components needed by the collaborative applications and, at the same time, comply with service orientation architectures principles. This paper discuss the main results of the consultation process carried out since beginning 2006 in order to identify the 12 research challenges on this area and the three building Blocks needed for Collaborative Work Environments (CWEs). A high level middleware, called upperware, and a reference model for CWE have risen as two of the most desirable research outputs for medium-long-term. If the Building Blocks defined through the consultation process are realized, collaboration platforms will meet the needs of workgroups across enterprises' borders.