ppxscal/embedding_network huggingface dataset:
Project Management with the IBM(R) Rational Unified Process(R): Lessons From The Trenches
Authors: R. Dennis Gibbs
Venue:  (2006)

ï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Master winï¾win techniques for managing outsourced and offshore projects, from procurement and risk mitigation to maintenanceï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Use RUP to implement best-practice project management throughout the software development lifecycleï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Overcome key management challenges, from changing requirements to managing user expectationsThe Hands-On, Start-to-Finish Guide to Managing Software Projects with the IBM® Rational Unified Process®This is the definitive guide to managing software development projects with the IBM Rational Unified Process (RUP®). Drawing on his extensive experience managing projects with the RUP, R. Dennis Gibbs covers the entire development lifecycle, from planning and requirements to post-mortems and system maintenance. Gibbs offers especially valuable insights into using the RUP to manage outsourced projects and any project relying on distributed development teams-outsourced, insourced, or both.This “from the trenches” guidebook is invaluable for anyone interested in best practices for managing software development: project managers, team leaders, procurement and contracting specialists, quality assurance and software process professionals, consultants, and developers. If you're already using the RUP, Gibbs will help you more effectively use it. Whatever your role or the RUP experience, you'll learn ways toï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Simplify and streamline the management of any large-scale or outsourced projectï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Overcome the challenges of using the RUP in software project managementï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Optimize software procurement and supplier relationships, from Request for Proposals (RFPs) and contracts to deliveryï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Staff high-performance project teams and project management officesï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Establish productive, consistent development environmentsï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Run effective project kickoffsï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Systematically identify and mitigate project risksï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Manage the technical and business challenges of changing requirementsï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Organize iterations and testing in incremental development processesï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Transition new systems into service: from managing expectations to migrating dataï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Plan system maintenance and implement effective change controlï¾·ï¾ ï¾ ï¾ ï¾ ï¾ Learn all you can from project post-mortems-and put those lessons into practice
HoLiSTiC: Heterogeneous Lightweight Sensornets for Trusted Visual Computing
Authors: Deepa Kundur, Unoma Ndili Okorafor, William Luh
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

This paper introduces a novel "HoLiSTiC" framework for visual sensor networks (VisSNs) and studies security issues within this context. The HoLiSTiC paradigm, which encompasses many existing VisSN proposals, effectively exploits heterogeneous wireless sensing and communications for more flexible, practical and scalable visual surveillance. Security aspects of HoLiSTiC are considered by highlighting open research problems. Secure routing issues in unidirectional optical free-space sensor networks that form the foundation of the HoLiSTiC transport network are discussed. In addition, a novel distributed security paradigm based on independent media sharing is presented to demonstrate how the interaction of signal processing, networking, and cryptography can benefit VisSNs.
Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures
Authors: Anil Rao, Tim Cootes, Daniel Rueckert
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

In this paper, we present the application of two multivariate statistical techniques to investigate how different structures within the brain vary statistically relative to each other. The first of these techniques is canonical correlation analysis which extracts and quantifies correlated behaviour between two sets of vector variables. The second technique is partial least squares regression which determines the best factors within a first set of vector variables for predicting a vector variable from a second set. We describe how these techniques can be used to quantify and predict correlated behaviour in sub-cortical structures within the brain using 3D MR images.
Knowledge-Based Adaptive Assessment in a Web-Based Intelligent Educational System
Authors: Ioannis Hatzilygeroudis, Constantinos Koutsojannis, Constantinos Papavlasopoulos, Jim Prentzas
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

In this paper, we present an adaptive and intelligent webbased educational system that uses AI techniques for personalized assessment of the learners. More specifically, we focus on a mechanism for on-line creation of a useradapted test, which can be used alongside the predetermined test. The user can ask for such a test any time he/she is willing to do so, even if he/she has not studied all predetermined concepts of a learning goal. A small rule base is used by an expert system inference engine for making decisions on the difficulty level of the exercises to be included in the test. This is based on the evaluation of the learner during concept studying. Adaptive assessment of the learner can be repeatedly used until there is no further need. Another small rule-base is used for deciding on whether a new test is suggested or not. This is based on the learner's previous test assessment results. Preliminary experimental results show that the users need less time to study a learning goal when using the adaptive assessment capability of the system.
UbiNet: A Generic and Ubiquitous Service Provider Framework
Authors: Jinsuo Zhang, Sumi Helal
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

In mobile environment, it is very common that mobile devices periodically stay in disconnection mode. In a networked world as today, computer users rely on network services so heavily that even a short duration of disconnection from network will dramatically distract user's normal activity. Past researches explored disconnected operation for file system and database access. In this paper, we introduce and evaluate a ubiquitous network service framework. The proposed framework combines the advantages of both disconnection operation and system virtualization in order to provide 7/24 services to mobile users. We implemented and validated our idea in both Linux and Windows platform. From our initial deployment and daily usage experiment, our architecture is highly feasible and deployable. In this paper, we will illustrate the architecture, implementation, and performance evaluation based on our implemented system.
Left and right inverse eigenpairs problem of skew-centrosymmetric matrices
Authors: Fan-Liang Li, Xi-Yan Hu, Lei Zhang
Venue: Applied Mathematics and Computation (2006)

The left and right inverse eigenvalue problem of skew-centrosymmetric matrices and its optimal approximation are considered. New necessary and sufficient conditions for the solvability of the problem are derived, the general expression of the solution is given. The optimal approximate solution and some numerical experiments are also provided.
A study of variance reduction techniques for American option pricing
Authors: Christiane Lemieux, Jennie La
Venue: Proceedings of the 37th conference on Winter simulation (2005)

American option pricing is a challenging problem in financial mathematics for which several approaches have been proposed in the last few years. In this paper, we consider the regression-based method of Longstaff and Schwartz (2001) to price these options, and then investigate the use of different variance reduction techniques to improve the efficiency of the Monte Carlo estimators thus obtained. The techniques considered have been shown to work well for European option pricing. One of them is importance sampling, in which the approach of Glasserman, Heidelberger, and Shahabuddin (1999) is applied to find an appropriate change of measure. We also consider control variates and randomized quasi-Monte Carlo methods, and use numerical experiments on American Asian call options to investigate the performance of these methods.
Long-latency branches: how much do they matter?
Authors: Abhas Kumar, Nisheet Jain, Mainak Chaudhuri
Venue: ACM SIGARCH Computer Architecture News (2006)

Dynamic branch prediction plays a key role in delivering high performance in the modern microprocessors. The cycles between the prediction of a branch and its execution constitute the branch misprediction penalty because a misprediction can be detected only after the branch executes. Branch misprediction penalty depends not only on the depth of the pipeline, but also on the availability of branch operands. Fetched branches belonging to the dependence chains of loads that miss in the L1 data cache exhibit very high misprediction penalty due to the delay in the execution resulting from unavailability of operands. We call these the long-latency branches. It has been speculated that predicting such branches accurately or identifying such mispredicted branches before they execute would be beneficial. In this paper, we show that in a traditional pipeline the frequency of mispredicted long-latency branches is extremely small. Therefore, predicting all these branches correctly does not offer any performance improvement. Architectures that allow checkpoint-assisted speculative load retirement fetch a large number of branches belonging to the dependence chains of the speculatively retired loads. Accurate prediction of these branches is extremely important for staying on the correct path. We show that even if all the branches belonging to the dependence chains of the loads that miss in the L1 data cache are predicted correctly, only four applications out of twelve control speculation-sensitive applications selected from the SPECInt2000 and BioBench suites exhibit visible performance improvement. This is an upper bound on the achievable performance improvement in these architectures. This article concludes that it may not be worth designing specialized hardware to improve the prediction accuracy of the long-latency branches.
Study on Metasynthetic Decision Support System for Water Resource Management
Authors: ZHANG Yongjin, ZHOU Mingquan, WANG Liang, XIE Jiancang
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

During the past decades, there are numerous DSS developed for water resource management, but the most important gap between theories and practice has not been processed. In this paper, the authors propose Water Resource Management DSS based on Metasynthetic Wisdom (WRM-MDSS), which is based on the understanding of that the DSS of water resource management is an Open Complex Giant System. With the applying of metasynthetic wisdom theory, WRMMDSS is built as a technology way to implement the theory of metasynthetic wisdom.
An Agent-Based Testing Subsystem in an E-Learning Environment
Authors: V. E. Cabukovski
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

In an e-learning systems the relevant filtered content depends on the student's grade level. According to the level, different students would have different content view. An idea of agent based testing subsystem for estimation of the student's grade level which is the main measure for dynamic generation of the content view is presented in the paper.
PC-RE: a method for personal and contextual requirements engineering with some experience
Authors: Alistair Sutcliffe, Stephen Fickas, McKay Moore Sohlberg
Venue: Requirements Engineering (2006)

A method for requirements analysis is proposed that accounts for individual and personal goals, and the effect of time and context on personal requirements. First a framework to analyse the issues inherent in requirements that change over time and location is proposed. The implications of the framework on system architecture are considered as three implementation pathways: functional specifications, development of customisable features and automatic adaptation by the system. These pathways imply the need to analyse system architecture requirements. A scenario-based analysis method is described for specifying requirements goals and their potential change. The method addresses goal setting for measurement and monitoring, and conflict resolution when requirements at different layers (group, individual) and from different sources (personal, advice from an external authority) conflict. The method links requirements analysis to design by modelling alternative solution pathways. Different implementation pathways have cost&#x2013;benefit implications for stakeholders, so cost&#x2013;benefit analysis techniques are proposed to assess trade-offs between goals and implementation strategies. The use of the framework is illustrated with two case studies in assistive technology domains: e-mail and a personalised navigation system. The first case study illustrates personal requirements to help cognitively disabled users communicate via e-mail, while the second addresses personal and mobile requirements to help disabled users make journeys on their own, assisted by a mobile PDA guide. In both case studies the experience from requirements analysis to implementation, requirements monitoring, and requirements evolution is reported.
The "Helpful Environment": Geographically Dispersed Intelligent Agents That Collaborate
Authors: Austin Tate
Venue: IEEE Intelligent Systems (2006)

Imagine a future environment where a network of sophisticated sensors, protection, and repair systems will be integral to clothing, communications devices, vehicles, transportation systems, buildings, and the environment. These would form the basis for a distributed, adaptable, and resilient "helpful environment." This article is part of a special issue on The Future of AI.
BiSNET: A Biologically-Inspired Architecture forWireless Sensor Networks
Authors: Pruet Boonma, Paskorn Champrasert, Junichi Suzuki
Venue: Proceedings of the International Conference on Autonomic and Autonomous Systems (2006)

This paper describes a sensor network architecture, called BiSNET, which addresses several key issues in wireless sensor networks such as autonomy, adaptability, self-healing and simplicity. Based on the observation that various biological systems have developed mechanisms necessary to overcome these issues, BiSNET follows certain biological principles such as decentralization, food gathering/storage and natural selection to design sensor networks. This paper describes and evaluates the biologically-inspired mechanisms in BiSNET. Simulation results show that BiSNET allows sensor nodes to autonomously adapt their duty cycles for power efficiency and responsiveness of data transmission, to collectively self-heal (i.e., detect and eliminate) false positives in their sensor readings, and to be lightweight.
Neural Mechanisms of Visual Attention: Object-Based Selection of a Region in Space
Authors: Catherine M. Arrington, Thomas H. Carr, Andrew R. Mayer, Stephen M. Rao
Venue: Journal of Cognitive Neuroscience (2000)

Objects play an important role in guiding spatial attention through a cluttered visual environment. We used event-related functional magnetic resonance imaging (ER-fMRI) to measure brain activity during cued discrimination tasks requiring subjects to orient attention either to a region bounded by an object (object-based spatial attention) or to an unbounded region of space (location-based spatial attention) in anticipation of an upcoming target. Comparison between the two tasks revealed greater activation when attention selected a region bounded by an object. This activation was strongly lateralized to the left hemisphere and formed a widely distributed network including (a) attentional structures in parietal and temporal cortex and thalamus, (b) ventral-stream object processing structures in occipital, inferior-temporal, and parahippocampal cortex, and (c) control structures in medial- and dorsolateral-prefrontal cortex. These results suggest that object-based spatial selection is achieved by imposing additional constraints over and above those processes already operating to achieve selection of an unbounded region. In addition, ER-fMRI methodology allowed a comparison of validly versus invalidly cued trials, thereby delineating brain structures involved in the reorientation of attention after its initial deployment proved incorrect. All areas of activation that differentiated between these two trial types resulted from greater activity during the invalid trials. This outcome suggests that all brain areas involved in attentional orienting and task performance in response to valid cues are also involved on invalid trials. During invalid trials, additional brain regions are recruited when a perceiver recovers from invalid cueing and reorients attention to a target appearing at an uncued location. Activated brain areas specific to attentional reorientation were strongly right-lateralized and included posterior temporal and inferior parietal regions previously implicated in visual attention processes, as well as prefrontal regions that likely subserve control processes, particularly related to inhibition of inappropriate responding.
Helping End-User Programmers "Engineer' Dependable Software
Authors: Gregg Rothermel
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Not long ago, most software was written by professional programmers, who could be presumed to have an interest in software engineering methodologies and in tools and techniques for improving software dependability. Today, however, a great deal of software is written not by professionals but by end-users, who create applications such as multimedia simulations, dynamic web pages, and spreadsheets. Applications such as these are often used to guide important decisions or aid in important tasks, and it is important that they be sufficiently dependable, but evidence shows that they frequently are not. For example, studies have shown that a large percentage of the spreadsheets created by end-users contain faults, and stories abound of spreadsheet faults that have led to multi-million dollar losses. Despite such evidence, until recently, relatively little research had been done to help end-users create more dependable software. In this talk, I'll show that it's possible to address this problem by adapting formal software engineering techniques to the realm of end-user programming. Focusing on work done in the spreadsheet application paradigm, I present several of approaches to using program analysis techniques to help end-users build more dependable spreadsheets. Behind the scenes, these methodologies use static analyses such as dataflow analysis and slicing, together with dynamic analyses such as execution monitoring, to support user tasks such as validation and fault localization. I show how, to accommodate the user base of spreadsheet languages, an interface to these methodologies can be provided that does not require users to understand the theory behind the analyses, yet supports the interactive, incremental process by which spreadsheets are created. I present empirical results gathered in the use of these methodologies, that highlight several costs and benefits tradeoffs.
The hand is more easily fooled than the eye: users are more sensitive to visual interpenetration than to visual-proprioceptive discrepancy
Authors: Eric Burns, Sharif Razzaque, Abigail T. Panter, Mary C. Whitton, Matthew R. McCallus, Frederick P. Brooks,  Jr.
Venue: Presence: Teleoperators and Virtual Environments (2006)

A virtual environment (VE) user's avatar may penetrate virtual objects. Some VE designers prevent visual interpenetration, assuming that prevention improves user experience. However, preventing visual avatar interpenetration causes a discrepancy between visual and proprioceptive cues. We investigated users' detection thresholds for visual interpenetration and visual-proprioceptive discrepancy and found that users are much less sensitive to visual-proprioceptive discrepancy than to visual interpenetration. We propose using this result to better deal with user penetration of virtual objects.
SHISA: The IPv6 Mobility Framework for BSD Operating Systems
Authors: Keiichi Shima, Ryuji Wakikawa, Koshiro Mitsuya, Keisuke Uehara, Tsuyoshi Momose
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

Mobile IPv6 and Network Mobility Basic Support (NEMO BS) are the IETF standard mobility protocols for IPv6. When we consider the deployment of a new protocol, it is well understood that the existence of a free protocol implementation, which can be used as a reference implementation for both research and operation, plays important roles. SHISA is a free implementation of Mobile IPv6 and NEMO BS protocols built on top of BSD operating systems. The purpose of SHISA is to be a reference implementation of the mobility protocols and to accelerate the deployment. In this paper, we explain the background of the development, introduce the design and explain the implementation detail. SHISA consists of the modified kernel and the user space programs, which is a similar approach as the routing/forwarding mechanism implemented in many UNIX systems. We designed a new communication layer between kernel and a user space program and also between user space programs to exchange mobility related information. This design makes the implementation simple and extensible. SHISA also provides some advanced features such as multiple care-of address registration and IPv4 prefix support which will help the deployment in a real situation.
A live multimedia stream querying system
Authors: Bin Liu, Amarnath Gupta, Ramesh Jain
Venue: Proceedings of the 2nd international workshop on Computer vision meets databases (2005)

Querying live media streams captured by various sensors is becoming a challenging problem, due to the data heterogeneity and the lack of a unifying data model capable of accessing various multimedia data and providing reasonable abstractions for the query purpose. In this paper we propose a system that enables directly capturing media streams from sensors and automatically generating more meaningful feature streams that can be queried by a data stream processor. The system provides an effective combination between extendible digital processing techniques and general data stream management research.
Countering Terrorism through Information and Privacy Protection Technologies
Authors: Robert Popp, John Poindexter
Venue: IEEE Security and Privacy (2006)

Security and privacy aren't dichotomous or conflicting concerns--the solution lies in developing and integrating advanced information technologies for counterterrorism along with privacy-protection technologies to safeguard civil liberties. Coordinated policies can help bind the two to their intended use.