ppxscal/embedding_network huggingface dataset:
Analysis on a stochastic model of TCP Reno
Authors: Gao Qing, Qinghe Yin
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 01 (2002)

In this paper, we noticed an interesting phenomenon under a stochastic model of TCP Reno. It was found that in Reno the expectation of the time-average window size equals the average local maximum window size. We analyzed that phenomena and give both theoretical explanations and simulation results to support our finding.
An adaptive-gain alpha-beta tracker combined with three-dimentional circular prediction using estimation of the plane state
Authors: T. Kawase
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

In tracking systems using a phased array antenna, the adaptive-gain /spl alpha/-/spl beta/ tracker combined with circular prediction has been proposed for manoeuvring targets. However, the tracking quality of the circular prediction filter degrades for highly manoeuvring targets that continue to change the turning plane, since the circular prediction is calculated on the assumption that a target flies on the same plane of the previous three measured positions. In this paper, we extend the circular prediction to three-dimensional space and propose an adaptive-gain /spl alpha/-/spl beta/ tracker combined with three-dimensional circular prediction using estimation of the plane state to improve tracking quality.
Buried Markov models for speech recognition
Authors: J. A. Bilmes
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

Good HMM-based speech recognition performance requires at most minimal inaccuracies to be introduced by HMM conditional independence assumptions. In this work, HMM conditional independence assumptions are relaxed in a principled way. For each hidden state value, additional dependencies are added between observation elements to increase both accuracy and discriminability. These additional dependencies are chosen according to natural statistical dependencies extant in training data that are not well modeled by an HMM. The result is called a buried Markov model (BMM) because the underlying Markov chain in an HMM is further hidden (buried) by specific cross-observation dependencies. Gaussian mixture HMMs are extended to represent BMM dependencies and new EM update equations are derived. On preliminary experiments with a large-vocabulary isolated-word speech database, BMMs are able to achieve an 11% improvement in WER with only a 9.5% increase in the number of parameters using a single state per mono-phone speech recognition system.
Wearable face recognition aid
Authors: C. Iordanoglou
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

The feasibility of realising a low cost wearable face recognition aid based on a robust correlation algorithm is investigated. The aim of the study is to determine the limiting spatial and grey level resolution of the probe and gallery images that would support successful prompting of the identity of input face images. Low spatial and grey level resolution images are obtained from good quality image data algorithmically. The tests carried out on the XM2VTS database demonstrate that robust correlation is very resilient to degradations of spatial and grey level image resolution. Correct prompts have been generated in 98% cases even for severely degraded images.
Tutorial T6: Robust Design of Nanoscale Circuits in the Presence of Process Variations
Authors: Sarma Vrudhula, Sarvesh Bhardwaj
Venue: Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems (2007)

The lack of process uniformity in the semiconductor manufacturing has caused variability to become the primary cause of concern for nanometer scale CMOS design. The variations are caused by either global effects such as mask imperfections and lens aberration, or local effects such as layout pattern variations. These variations result in a significant amount of spread in the performance as well as leakage of the manufactured circuits. The effect of variations on circuit leakage current is much more pronounced compared to their effect on the delay. The variations can cause up to 30% variations in the circuit delay and up to 20X variations in the leakage current. Due to this, a large number of chips with significantly large leakage have to be discarded, thus resulting in a considerable yield loss. The microelectronics industry is now facing one of the most important and difficult challenges - the loss of predictability in the functional correctness and performance of nanometer scale integrated circuits. For technology to continue to advance along Moore's curve, it has become imperative to develop techniques to both predict and to optimize the performance of ICs in the presence of process variations. The proposed full day tutorial will be a comprehensive look at the state-of-art techniques for (1) accurately predicting the performance and power in the presence of both inter-die and intra-die process variations, accounting for spatial correlations, and (2) optimizing the power and/or performance in the presence of process variations. The tutorial will cover four main topics.
Security evaluation against electromagnetic analysis at design time
Authors: Huiyun Li, A. T. Markettos, S. Moore
Venue: Proceedings of the High-Level Design Validation and Test Workshop, 2005. on Tenth IEEE International (2005)

Electromagnetic analysis (EMA) has aroused increasing interest in the side-channel cryptanalysis community. It follows differential power analysis (DPA) constituting a real threat to the security of many cryptographic devices. A design-time security evaluation methodology is proposed to examine electromagnetic (EM) leakage characteristics of secure processors. This EM simulation methodology involves system partitioning, current flow simulation, and data processing to simulate direct EM emissions or modulated emissions sensed by different types of field sensors. The proposed simulation methodology can be easily employed in the framework of an integrated circuit (IC) design flow to perform a systematic EM characteristics analysis.
Dynamic Barrier Architecture for Multi-Mode Fine-Grain Parallelism Using Conventional Processors
Authors: W. E. Cohen, H. G. Dietz, J. B. Sponaugle
Venue: Proceedings of the 1994 International Conference on Parallel Processing - Volume 01 (1994)

Parallel computers constructed using conventional processors offer the potential to achieve large improvements in execution speed at reasonable cost, however, these machines tend to efficiently implement only coarse-grain MIMD parallelism. To achieve the best possible speedup through parallel execution, a computer must be capable of effectively using all the different types of parallelism that exist in each program. A combination of SIMD, VLIW, and MIMD parallelism, at a variety of granularity levels, exists in most applications; thus, hardware that can support multiple types of parallelism can achieve better performance with a wider range of codes. In this paper, we introduce a new hardware barrier architecture that provides the full DBM functionality we discussed in [11], but can be implemented with much simpler hardware. This mechanism can be used to efficiently support multi-mode moderate-width parallelism with instruction-level granularity (i.e., synchronization cost is approximately one LOAD instruction).
A Template-based Methodology for Large-Scale HA/DR involving Ephemeral Groups - A Workflow Perspective
Authors: Tung Bui, Alex Tan
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Large-scale HA/DR typically requires massive rescue operations from many organizations. Among the involved parties, ephemeral groups - those volunteers that happen to be readily available for help - are critical to a timely and massive rescue effort. Timely and accurate processing of crisis information and effective communication have been documented as critical elements of disaster relief operations. Despite the lessons learned from previous crises, preparing information for HA/DR and ineffective information sharing remain a recurring and almost unattainable task for relief agencies, especially in situations involving numerous ad-hoc groups. The purpose of this paper is to extend our earlier work that uses a template-based methodology to archive past disaster relief operations and communications, create "descriptive" templates for advanced preparedness, and design "normative" templates for fast execution of operations, while reducing miscommunications among aid agencies and ephemeral groups.
Summarizing video using a shot importance measure and a frame-packing algorithm
Authors: S. Uchihashi
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

This paper presents methods of generating compact pictorial summarizations of video. By calculating a measure of shot importance video can be summarized by de-emphasizing or discarding less important information, such as repeated or common scenes. In contrast to other approaches that present keyframes for each shot, this measure allows summarization by presenting only the most important shots. Selected keyframes can also be resized depending on their relative importance. We present an efficient packing algorithm that constructs a pictorial representation from differently-sized keyframes. This results in a compact and visually pleasing summary reminiscent of a comic book.
Network and device-level impacts: performance and reliability of active I/O storage systems
Authors: Steve C. Chiu, Alok N. Choudhary, Danli Wang
Venue: The Journal of Supercomputing (2007)

Distributed active storage architectures are designed to offload user-level processing to the peripheral from the host servers. In this paper, we report preliminary investigation on performance and fault recovery designs, as impacted by emerging storage interconnect protocols and state-of-the-art storage devices. Empirical results obtained using validated device-level and interconnect data demonstrate the significance of the said parameters on the overall system performance and reliability.
Development of a String-Based Haptic Interface by Using a Hybrid Control Approach
Authors: Rasul Fesharakifard, Laure Leroy, Philippe Fuchs
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

String-based interfaces are promising to provide the force feedback for the operator of a virtual environment. However their performance is affected by some problems like instability, inertia and response lag, especially in the large environments. A hybrid position/force control method is presented in this paper. This approach is experimented on an interface with two actuators and force feedback is tested on different virtual objects. It is shown that the stability and transparency of the interface are increased.
On-site delivery of BS in electro-mechanical engineering technology a collaborative effort between Penn State and Sony Electronics
Authors: R. Land
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

As part of increasing industrial outreach programs in Penn State University's (USA) Commonwealth Education System, the School of Engineering Technology and Commonwealth Engineering, the Penn State Campus at New Kensington and Sony Electronics have teamed together to offer a 2+2 Bachelor of Science (BS) program in Electromechanical Engineering Technology (EMET) at the Sony Manufacturing Center in Mount Pleasant, Pennsylvania. The atypical manufacturing constraints and work schedules at the center prohibit Sony's technical employees from enrolling in educational programs organized along traditional schedules. However, rapid expansion at the site both in size and product mix has increased the need for employees with enhanced technical skills and advanced academic training. Onsite offering of the BS EMET program is expected to help Sony meet this need as well as to expand career opportunities for qualified employees. The entirety of lecture courses for the EMET curriculum will be offered at the Sony facility. Laboratory classes will be held at the Penn State campus where suitable facilities are available. Classes will be scheduled in nontraditional ways to ensure that they mesh with employee work schedules and off-work hours. All instruction will be done by program faculty from the campus to ensure the quality, and ultimately the accreditation of the program. The entire program is expected to take approximately three and a half years to complete. The Sony program will also be used as a model for similar activities with other industrial partners in the New Kensington campus service area. 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
A CSMA/CP MAC protocols for IP over WDM metropolitan area ring networks
Authors: Chien-Chun Li, Shih-Wei Kau, Wen-Shyang Hwang
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 02 (2002)

To solve the explosively growth of the Internet demands, metropolitan area networks (MAN) use SONET to provide huge bandwidth. However, the SONET network is suitable for constant bit rate (CBR) traffic. Therefore, it cannot effectively handle the burst-natured metropolitan area networks traffic. This paper proposed a novel MAN network architecture and protocol by using the wavelength division multiplexing (WDM) technique to efficiently share the network bandwidth among every network nodes. The proposed novel network architecture adopts carrier sense multiple access with carrier preemption (CSMA/CP) that is a media access control (MAC) protocol to handle the variable size IP packet transport on WDM MAN ring network. This paper also shows the simulation results to verify the proposed MAC protocol is able to take more efficiently utilization and lower packet latency. Further developments are proposed to improve the efficiency and add new capabilities such as QoS.
Taking Research to FLOSS-Curious Engineers and Managers
Authors: James Howison
Venue: Proceedings of the First International Workshop on Emerging Trends in FLOSS Research and Development (2007)

In 2006 I undertook to take what I'd learnt from the research on Free, Libre and Open Source Software (FLOSS) both to "the community' and to those interested in joining "the community'. I prepared and presented two 3.5 hour tutorials at FLOSS conferences: LinuxAsia in Delhi and O'Reilly's Open Source Conference (OSCON) in Portland. This paper describes these experiences. I first summarize the tutorials, pointing out which research was used and what the interests of the participants were and where more research can bridge the gaps. I then describe an ongoing interaction with a software engineering manager at Microsoft who attended the tutorial and is in the interesting position of taking a Microsoft work group open. Finally I reflect on this experience for lessons about "transferable research'.
A study of on-line quasi-Bayes adaptation for CDHMM-based speech recognition
Authors: Qiang Huo
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

We present a framework of quasi-Bayes (QB) learning of the parameters of the continuous density hidden Markov model (CDHMM) with Gaussian mixture state observation densities. Based on the theory of recursive Bayesian inference, the QB algorithm is designed to incrementally update the hyperparameters on the approximate posterior distribution and the CDHMM parameters simultaneously. By further introducing a simple forgetting mechanism to adjust the contribution of previously observed sample utterances, the algorithm is adaptive in nature and capable of performing an on-line adaptive learning using only the current sample utterance. It can thus be used to cope with the time-varying nature of some acoustic and environmental variabilities, including mismatches caused by changing speakers, channels, and transducers. As an example, the QB learning framework is applied to on-line speaker adaptation and its viability is confirmed in a series of comparative experiments using a 26-letter English alphabet vocabulary.
Efficient block ciphers for smartcards
Authors: Joan Daemen, Vincent Rijmen
Venue: Proceedings of the USENIX Workshop on Smartcard Technology on USENIX Workshop on Smartcard Technology (1999)

We present a family of block ciphers that can be implemented very efficiently on cheap Smartcard processors. The ciphers use a very small amount of RAM and a reasonable amount of ROM. Both cipher execution and key setup/key change are very fast. The ciphers resist theoretical and practical cryptanalytic attacks and in their design timing and power analysis attacks have been taken into account.
Neural network-based mean-variance-skewness model for portfolio selection
Authors: Lean Yu, Shouyang Wang, Kin Keung Lai
Venue: Computers and Operations Research (2008)

In this study, a novel neural network-based mean-variance-skewness model for optimal portfolio selection is proposed integrating different forecasts and trading strategies, as well as investors' risk preference. Based on the Lagrange multiplier theory in optimization and the radial basis function (RBF) neural network, the model seeks to provide solutions satisfying the trade-off conditions of mean-variance-skewness. The feasibility of the RBF network-based mean-variance-skewness model is verified with a simulation experiment. The experimental results show that, for all examined investor risk preferences and investment assets, the proposed model is a fast and efficient way of solving the trade-off in the mean-variance-skewness portfolio problem. In addition, we also find that the proposed approach can also be used as an alternative tool for evaluating various forecasting models.
The Coast-to-Coast Seminar and Remote Mathematical Collaboration
Authors: Jonathan M. Borwein, David Langstroth, Mason Macklem, Scott Wilson
Venue: Proceedings of the 21st International Symposium on High Performance Computing Systems and Applications (2007)

We describe a shared Simon Fraser University (West- Grid) and Dalhousie (ACEnet) seminar series which is now two years old, and is gradually expanding to include other Canadian universities. More generally we discuss current and future uses of AccessGrid and related technology as a production environment.
Recommending Emergent Teams
Authors: Shawn Minto, Gail C. Murphy
Venue: Proceedings of the Fourth International Workshop on Mining Software Repositories (2007)

To build successful complex software systems, developers must collaborate with each other to solve issues. To facilitate this collaboration, specialized tools, such as chat and screen sharing, are being integrated into development environments. Currently, these tools require a developer to maintain a list of other developers with whom they may wish to communicate and to determine who within this list has expertise for a specific situation. For large, dynamic projects, like several successful open-source projects, these requirements place an unreasonable burden on the developer. In this paper, we show how the structure of a team emerges from how developers change software artifacts. We introduce the Emergent Expertise Locator (EEL) that uses emergent team information to propose experts to a developer within their development environment as the developer works. We found that EEL produces, on average, results with higher precision and higher recall than an existing heuristic for expertise recommendation.
Organizational Impacts of Cyber Security Provisions: A Sociotechnical Framework
Authors: Anthony Cresswell, Shahidul Hassan
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

In this paper, we outline a conceptual framework for linking cyber security provisions to business processes. The framework is presented for use in analyzing the cost and performance impacts of cyber security implementation on business processes in government agencies and other organizations. We argue that such an analysis should be based on a sociotechnical approach to understanding information security in the organizational context. The results of such analysis can be useful in government cyber security planning and investment decisions.
Active and co-operative learning among B.E. Students
Authors: N. R. Devi
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

Learning has become individualistic because of the competition and computers. Competition is not the sole goal of the institution or an individual. The individual learner should be able to think divergently, take risks in solving problems, develop interpersonal and group skills for humanness and develop the capacity for 'role readiness'-the ability to meet the demands of many organizational settings with proper co-operation.
Thread clustering: sharing-aware scheduling on SMP-CMP-SMT multiprocessors
Authors: David Tam, Reza Azimi, Michael Stumm
Venue: Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007 (2007)

The major chip manufacturers have all introduced chip multiprocessing (CMP) and simultaneous multithreading (SMT) technology into their processing units. As a result, even low-end computing systems and game consoles have become shared memory multiprocessors with L1 and L2 cache sharing within a chip. Mid- and large-scale systems will have multiple processing chips and hence consist of an SMP-CMP-SMT configuration with non-uniform data sharing overheads. Current operating system schedulers are not aware of these new cache organizations, and as a result, distribute threads across processors in a way that causes many unnecessary, long-latency cross-chip cache accesses. In this paper we describe the design and implementation of a scheme to schedule threads based on sharing patterns detected online using features of standard performance monitoring units (PMUs) available in today's processing units. The primary advantage of using the PMU infrastructure is that it is fine-grained (down to the cache line) and has relatively low overhead. We have implemented our scheme in Linux running on an 8-way Power5 SMP-CMP-SMT multi-processor. For commercial multithreaded server workloads (VolanoMark, SPECjbb, and RUBiS), we are able to demonstrate reductions in cross-chip cache accesses of up to 70%. These reductions lead to application-reported performance improvements of up to 7%.