ppxscal/embedding_network huggingface dataset:
The Role of Probabilistic Schemes in Multisensor Context-Awareness
Authors: Waltenegus Dargie
Venue: Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops (2007)

This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical sensors. The schemes we discuss are fuzzy logic, hidden Markov models, Bayesian networks, and Dempster-Schafer theory of evidence. The paper also presents a conceptual architecture and identifies the suitable scheme to be employed by each component of the architecture. As a proof-of-concept, we will introduce the architecture we implemented to model various places on the basis of data from temperature, light intensity and relative humidity sensors.
CiteSearch: next-generation citation analysis
Authors: Kiduk Yang, Lokman Meho
Venue: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries (2007)

The coverage of citations in citation databases of today is disjoint and incomplete, which can result in conflicting quality assessment outcomes across different data sources. Fusion approach to quality assessment that employs a range of citation-based methods to analyze data from multiple sources is one way to address this limitation. The paper discusses a citation analysis pilot study that measured the impact of scholarly publications based on the data mined from Web of Science, Scopus, and Google Scholar.
An Agent-Based Architecture for Context-Aware Communication
Authors: Romelia Plesa, Luigi Logrippo
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

We propose an agent-based architecture that allows context-aware communication between users. In seeking a model that is suitable for the design of the required functionalities of our framework, we identify significant overlap between the concepts needed in our domain and those used in the Belief-Desire-Intention (BDI) models of agency. We present a comprehensive attempt to use the BDI model for describing the architecture and protocols of our context-aware communication system, which includes a mechanism for handling conflicting user policies.
Tracking Observations: Using Handhelds and Computers for Classroom Observation Logging
Authors: Hashi Bai, Greydon Buckley, Mark Howard, Edward Lank
Venue: Proceedings of the First International Conference on the Digital Society (2007)

This paper presents the synergistic use of handheld computers and desktop computers as tools for grade school teachers to record observational data from their classrooms. The system uses handheld devices to tersely log events in situ, and allows later reflection and elaboration through annotation of the logged events on desktop computer. The terse, ephemeral capture of events coupled with post-hoc annotation has been novelly exploited to design a system that supports teachers' development as reflective practitioners and enables richer capture of grade school student behaviour and performance.
Coding of an arbitrarily shaped interlaced video in MPEG-4
Authors: Xuemin Chen
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

The coding method in MPEG-4 for interlaced video is introduced in this paper. Such a method is an extension of MPEG-2 interlaced coding tools to allow compression of arbitrarily shaped interlaced video. The new texture-and-shape coding tools discussed here for arbitrarily shaped interlaced video provide good compression performance. It is demonstrated here that these interlaced tools improve the coding efficiency of MPEG-4 video in both subjective and objective means.
Integrating process improvement practices into an undergraduate software engineering course
Authors: J. S. Collofello
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

Most software development organizations are attempting to improve their practices in response to increasing competitive pressures to shorten development cycle time and increase quality. Their success is dependent upon the effectiveness of their software process improvement methodology. Software development teams must understand and be committed to this methodology for improvements to occur. This paper describes the introduction of software process improvement practices in an undergraduate software engineering course. The course requires students to work in teams of 5-6 persons to develop a software application in a one-semester time frame following a systematic development process. Software process improvement practices are integrated throughout the course in terms of both lecture material and team exercises. Teams are continuously challenged to examine their development practices for areas of improvement. This activity is facilitated through the use of previous class post mortem reports, a mid-stream process improvement exercise and the writing of their own post-mortem report upon completing their project. The results of applying these software process improvement practices are described along with examples of process improvements from the student teams.
Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks
Authors: Naoki Masuda, Masato Okada, Kazuyuki Aihara
Venue: Neural Computation (2007)

With spatially organized neural networks, we examined how bias and noise inputs with spatial structure result in different network states such as bumps, localized oscillations, global oscillations, and localized synchronous firing that may be relevant to, for example, orientation selectivity. To this end, we used networks of McCulloch-Pitts neurons, which allow theoretical predictions, and verified the obtained results with numerical simulations. Spatial inputs, no matter whether they are bias inputs or shared noise inputs, affect only firing activities with resonant spatial frequency. The component of noise that is independent for different neurons increases the linearity of the neural system and gives rise to less spatial mode mixing and less bistability of population activities.
Mining Negotiation Knowledge for Adaptive Negotiation Agents in e-Marketplaces
Authors: Raymond Y. K. Lau, On Wong
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

By increasing the degree and sophistication of automation, e-marketplaces will become much more efficient and transparent, and hence more widely adopted by organizations. Negotiation is one of main activities conducted in e-marketplaces, and adaptive negotiation agents can be applied to improve the effectiveness of B2B e-marketplaces. Classical negotiation models have limited use in modern e-marketplaces because these models often assume that complete information about the negotiation spaces is available. This paper illustrates the design and development of adaptive negotiation agents for e-marketplaces. These agents are empowered by the Bayesian learning mechanisms so that they can gradually acquire negotiation knowledge based on their previous encounters with the opponents. Our preliminary experiment shows that the proposed probabilistic negotiation decision making mechanism and the associated data mining approach is effective and efficient in simulated e-marketplaces.
A Year of Decision
Authors: Michael R. Williams
Venue: Computer (2007)

A message from its 2007 president indicates that the year 2007 will be a time for major decision-making by the Computer Society.
Modeling and equalization of audio systems using Kautz filters
Authors: T. Paatero
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05 (2001)

Frequency warping using all pass structures or Laguerre filters has increasingly found applications in audio signal processing due to having a good match with auditory frequency resolution. Kautz filters are an extension where the frequency warping and related resolution can have more freedom. We discuss the properties of Kautz filters and how they meet typical requirements found in modeling and equalization of audio systems. Case studies include transfer function modeling of the guitar body and loudspeaker response equalization.
Experiment Dashboard: the monitoring system for the LHC experiments
Authors: Julia J. Andreeva, Benjamin B. Gaidioz, Juha J. Herrala, Gerhild G. Maier, Ricardo R. Rocha, Pablo P. Saiz
Venue: Proceedings of the 2007 workshop on Grid monitoring (2007)

In this paper we present the Experiment Dashboard monitoring system, which is currently in use by four Large Hadron Collider (LHC)[1] experiments. The goal of the Experiment Dashboard is to monitor the activities of the LHC experiments on the distributed infrastructure, providing monitoring data from the virtual organization/user perspectives. All LHC experiments are using various Grid infrastructures (LCG/EGEE, OSG, Nordugrid) with correspondingly various middleware flavors and job submission methods. Providing a uniform and complete view of the various activities like job processing, data movement and publishing, access to distributed databases regardless of the underlying Grid flavor is the challenging task. In this paper we will describe the solutions implemented in the Experiment Dashboard.
Objectives, outcomes, and assessment mechanisms for CS programs [computer science education courses]
Authors: N. Soundarajan
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

Recent revisions in the Computer Science Accreditation Commission's criteria for accreditation of computer science programs have introduced specific requirements for programs to have precisely defined objectives and outcomes, as well as suitable assessment mechanisms to assess how well the outcomes are being achieved and the objectives met. The program is also required to have suitable feedback mechanisms to assure that the results of the assessment mechanisms are utilized to improve the program. Finally, the program is required to document how the curriculum is related to its objectives and outcomes. Formulating precise objectives and outcomes, implementing suitable assessment instruments to evaluate the achievement of objectives and outcomes, and setting up feedback mechanisms to use the assessment results, are all challenging tasks for most computer science faculty. This paper presents the experiences of one program in doing this, and some of the lessons learned.
Fixpoint semantics for rule-base anomalies
Authors: Du Zhang
Venue: Proceedings of the Fourth IEEE International Conference on Cognitive Informatics (2005)

A crucial component of an intelligent system is its knowledge base that contains knowledge about a problem domain. Knowledge base development involves domain analysis, context space definition, ontological specification, and knowledge acquisition, codification and verification. Knowledge base anomalies can affect the correctness and performance of an intelligent system. In this paper, we adopt a fixpoint semantics that is based on a multi-valued logic for a knowledge base. We then use the fixpoint semantics to provide formal definitions for four types of knowledge base anomalies: inconsistency, redundancy, incompleteness, circularity. We believe such formal definitions of knowledge base anomalies helps pave the way for a more effective knowledge base verification process. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Virtual Clone Fish Experiment
Authors: Qian Xu, Wen-Yong Wang, Shao-Chun Zhong, Xiao-Lin Quan, Qingrong Zhang, Ying Liang
Venue: Proceedings of the 16th International Conference on Artificial Reality and Telexistence--Workshops (2006)

A virtual clone fish experimental system is designed and set up. The system simulates the clone fish experiment process using the technique of virtual reality based on behavior model. Through the experiment, users can further observe the results and make conclusion more conveniently and quickly. The virtual clone fish experiment can reduce unnecessary waste caused in a reality clone fish experiment and its long waiting process, and save a quantity of time for users. The paper also discusses the application of virtual reality technique in the area of artificial life, and its experiment development and application.
P/sup +/ silicon recessed micromechanical structures for MEMS applications
Authors: P. Pal, S. Tuli, S. Chandra
Venue: Proceedings of the Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (2003)

In the present work, we have demonstrated a novel process for fabricating suspended P/sup +/ silicon micromechanical structures such as cantilever beam, microbridge etc. which are recessed in the substrate. The recessed structures formed inside anisotropically etched rectangular cavity, can be further secured by a low temperature planar wafer-bonding process, which also provides the "pull down electrode" for electrostatic actuation of the beam, if required. It is visualized that the recessed structures can be advantageously adapted for many applications such as accelerometer, IR detector, pressure sensors and micro-relay. Since the delicate moving parts are recessed in the substrate, these can be handled and packaged more easily compared to non-recessed structures. We have used standard spin coating process for photoresist application instead of electrodeposition process reported elsewhere which requires an electroplating base. The issues related to photolithography and subsequent etching process on silicon substrate with sharp topographic features are addressed.
3D Image Reconstruction and Range-Doppler Tracking with Chirped AM Ladar Data
Authors: John Dammann, Brian Redman, William Ruff
Venue: Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop (2006)

The Army Research Laboratory (ARL) has been developing its patented chirped amplitude modulation (AM) ladar technique for high resolution 3D imaging and range-Doppler tracking. The concept of operation, hardware configurations, and test results for this technique have been presented in detail elsewhere. Heretofore, the signal and image processing techniques used at ARL to reconstruct and display 3D imagery and range-Doppler plots have only been published partially and only in internal reports. In this paper we present the multiple-return range and range- Doppler signal processing algorithms, the modelbased "superresolution" processing algorithm for range precision enhancement, and the 3D image reconstruction, processing, and display algorithms, along with representative examples from laboratory and field test data.
The k-fundamental group of a closed k-surface
Authors: Sang-Eon Han
Venue: Information Sciences: an International Journal (2007)

In this paper, we deal with the problem of computing the digital fundamental group of a closed k-surface by using various properties of both a (simple) closed k-surface and a digital covering map. To be specific, let SC"k"""i^n^"^i^,^l^"^i be a simple closed k"i-curve with l"i elements in Z^n^"^i, i@?{1,2}. Then, the Cartesian product SC"k"""1^n^"^1^,^l^"^1xSC"k"""2^n^"^2^,^l^"^2@?Z^n^"^1^+^n^"^2 is not always a closed k-surface with some k-adjacency of Z^n^"^1^+^n^"^2. Thus, we provide a condition for SC"k"""1^n^"^1^,^l^"^1xSC"k"""2^n^"^2^,^l^"^2 to be a (simple) closed k-surface with some k-adjacency depending on the k"i-adjacency, i@?{1,2}. Besides, even if SC"k"""1^n^"^1^,^l^"^1xSC"k"""2^n^"^2^,^l^"^2 is not a closed k-surface, we show that the k-fundamental group of SC"k"""1^n^"^1^,^l^"^1xSC"k"""2^n^"^2^,^l^"^2 can be calculated by both a k-homotopic thinning and a strong k-deformation retract.
EDZL Scheduling Analysis
Authors: Michele Cirinei, Theodore P. Baker
Venue: Proceedings of the 19th Euromicro Conference on Real-Time Systems (2007)

A schedulability test is derived for the global Earliest Deadline Zero Laxity (EDZL) scheduling algorithm on a platform with multiple identical processors. The test is sufficient, but not necessary, to guarantee that a system of independent sporadic tasks with arbitrary deadlines will be successfully scheduled, with no missed deadlines, by the multiprocessor EDZL algorithm. Global EDZL is known to be at least as effective as global Earliest-Deadline-First (EDF) in scheduling task sets to meet deadlines. It is shown, by testing on large numbers of pseudo-randomly generated task sets, that the combination of EDZL and the new schedulability test is able to guarantee that far more task sets meet deadlines than the combination of EDF and known EDF schedulability tests.
Impact of Loop Granularity and Self-Preemption on the Performance of Loop Parallel Applications on a Multiprogrammed Shared-Memory Multiprocessor
Authors: Chitra Natarajan, Sanjay Sharma, Ravishankar K. Iyer
Venue: Proceedings of the 1994 International Conference on Parallel Processing - Volume 02 (1994)

This study uses real system measurements to investigate the relationships between loop granularity, parallel loop distribution and barrier wait times, and their impact on the multiprogramming performance of loop parallel applications on the CEDAR shared-memory multiprocessor The overhead due to multiprogramming varies from 5% for applications with large loop granularity to 140% for applications with very fine-gram loops. This is because applications with fine-gram loops have unequal parallel work distribution among the clusters m multiprogrammed environments, while the parallel work in applications with large loop granularity is equally distributed. Moreover, increased barrier wait times of the mam task and wait-for-work times of the helper tasks also contribute to the multi-programming performance degradation of the fine-grain loop parallel applications. We propose and implement a self-preemption technique to address the problem of met eased barrier wait times and wait-for-work times. Using this technique, the overhead due to multiprogramming is reduced by as much as 100%, and speedups of 1.1 to 1.7 are obtained.
AsmLSec: An Extension of Abstract State Machine Language for Attack Scenario Specification
Authors: Mohammad Raihan, Mohammad Zulkernine
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

Security, one of the most important aspects of software, gets very little attention during the software development life cycle (SDLC). Therefore, the software remains vulnerable to attacks which are handled by issuing patches or service packs by the software vendors. To overcome this problem, researchers have proposed to take security into consideration right from the very beginning of the software development process. However, most specification languages were not designed with an intention for specifying security requirements, and therefore, they lack some features to serve this purpose. As a result, we need suitable specification languages that can be used both for functional specification and security specification. We propose a formal extension of a popular specification language called AsmL (Abstract State Machine Language) for attack descriptions with a view to building secure software. We name the extended language AsmLSec. We present the details of AsmLSec syntax and semantics, describe how to model attacks using its constructs, and present the design and implementation of a compiler that generates attack signatures from the AsmLSec attack specifications. To evaluate the expressive power of AsmLSec, we model attack scenarios based on the benchmark DARPA data sets.
An Adaptive Strategy for Resource Allocation Modeled as Minority Game
Authors: Ka-man Lam, Ho-fung Leung
Venue: Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems (2007)

In a computer system, different agents need different resources to complete their tasks. The objective of resource allocation is to allocate the resources to the agents so that they can complete their tasks and at the same time make good utilization of resources. In this paper, we model the resource allocation problem as a Minority Game. In this way, the system has the advantages of a distributed system but with reduced overhead. Also, this approach is autonomous and adaptive. We design an adaptive strategy for agents to play in the game model. We perform simulations of a singlechoice model, a multi-choice model in which agents have (and do not have) preferences over the resources. Simulations show that agents with the proposed adaptive strategy are able to make more right decisions and better resource utilization than previous work.
Fast multiresolution motion estimation algorithms for wavelet-based scalable video coding
Authors: Yu Liu, King Ngi Ngan
Venue: Image Communication (2007)

Motion estimation and compensation in wavelet domain have received much attention recently. To overcome the inefficiency of motion estimation in critically sampled wavelet domain, the low-band-shift (LBS) method and the complete-to-overcomplete discrete wavelet transform (CODWT) method are proposed for motion estimation in shift-invariant wavelet domain. However, a major disadvantage of these methods is the computational complexity. Although the CODWT method has reduced the computational complexity by skipping the inverse wavelet transform and making the direct link between the critically sampled subbands and the shift-invariant subbands, the full search algorithm (FSA) increases it. In this paper, we proposed two fast multiresolution motion estimation algorithms in shift-invariant wavelet domain: one is the wavelet matching error characteristic based partial distortion search (WMEC-PDS) algorithm, which improves computational efficiency of conventional partial distortion search algorithms while keeping the same estimate accuracy as the FSA; another is the anisotropic double cross search (ADCS) algorithm using multiresolution-spatio-temporal context, which provides a significantly computational load reduction while only introducing negligible distortion compared with the FSA. Due to the multiresolution nature, both the proposed approaches can be applied to wavelet-based scalable video coding. Experimental results show the superiority of the proposed fast motion estimation algorithms against other fast algorithms in terms of speed-up and quality.
A model of online impulse buying: an empirical study
Authors: Joseph S. Valacich
Venue:  (2005)

Impulse buying is a phenomenon that has received considerable attention from marketing researchers and has been studied extensively in an offline setting. There is preliminary evidence that this behavior is rampant in an online setting. With the proliferation of electronic commerce, there is both a need and opportunity to examine impulse buying in an online setting. This paper proposes a theoretical model that explains this behavior in an electronic commerce setting. A research study was administered to validate the model. The results of this study suggest that two conditions enhance online impulse purchase behavior. First, any negative cognitive reactions should be minimized by ensuring that the website is secure and easy to navigate. Second, the emotional reactions to the interface should be maximized by using an innovative and creative interface design. The results of this study not only benefit the electronic commerce literature and the general human-computer interaction (HCI) domain, but also make a significant to the reference disciplines which include consumer behavior and environmental psychology.