An application of the learning curve and the nonconstant-growth dividend model: IT investment valuations at Intel® Corporation

Technology benefits last years longer than the standard ROI valuation analysis but are rarely enumerated. In this paper, we utilize a nonconstant dividend growth model to “capture” lasting marginal productivity gained through the “reinvestment” of labor capital rather than the standard the one-time gain of reducing the labor force to realize labor productivity gains. This innovative methodology for capturing the productivity value of maintained employees enables the valuation of continuing marginal productivity gains and the management of workload for the affected employees at Intel. This methodology is applied to the valuation of a standard operating system and hardware upgrade.     

Analysis of a probabilistic model of redundancy in unsupervised information extraction

Unsupervised Information Extraction (UIE) is the task of extracting knowledge from text without the use of hand-labeled training examples. Because UIE systems do not require human intervention, they can recursively discover new relations, attributes, and instances in a scalable manner. When applied to massive corpora such as the Web, UIE systems present an approach to a primary challenge in artificial intelligence: the automatic accumulation of massive bodies of knowledge.A fundamental problem for a UIE system is assessing the probability that its extracted information is correct. In massive corpora such as the Web, the same extraction is found repeatedly in different documents. How does this redundancy impact the probability of correctness?We present a combinatorial “balls-and-urns” model, called Urns, that computes the impact of sample size, redundancy, and corroboration from multiple distinct extraction rules on the probability that an extraction is correct. We describe methods for estimating Urns's parameters in practice and demonstrate experimentally that for UIE the model's log likelihoods are 15 times better, on average, than those obtained by methods used in previous work. We illustrate the generality of the redundancy model by detailing multiple applications beyond UIE in which Urns has been effective. We also provide a theoretical foundation for Urns's performance, including a theorem showing that PAC Learnability in Urns is guaranteed without hand-labeled data, under certain assumptions.     

Effects of video placement and spatial context presentation on path reconstruction tasks with contextualized videos

Many interesting and promising prototypes for visualizing video data have been proposed, including those that combine videos with their spatial context (contextualized videos). However, relatively little work has investigated the fundamental design factors behind these prototypes in order to provide general design guidance. Focusing on real-time video data visualization, we evaluated two important design factors--video placement method and spatial context presentation method--through a user study. In addition, we evaluated the effect of spatial knowledge of the environment. Participants' performance was measured through path reconstruction tasks, where the participants followed a target through simulated surveillance videos and marked the target paths on the environment model. We found that embedding videos inside the model enabled realtime strategies and led to faster performance. With the help of contextualized videos, participants not familiar with the real environment achieved similar task performance to participants that worked in that environment. We discuss design implications and provide general design recommendations for traffic and security surveillance system interfaces.     

Group support systems in Hong Kong: an action research project

The last dozen years have seen a considerable investment of resources into the research and development of group support systems (GSS) technology. This paper describes how GSS was used to support a process improvement project in a Hong Kong accounting firm. Although the project encountered many difficulties, the application of action research facilitated the adaptation of the GSS to the shifting circumstances, and the project was successfully completed. A variety of lessons concerning the use of GSS are presented, while increased use of action research in complex organizational contexts is recommended.     

Grouped comparisons of sleep quality for new and personal bedding systems

The purpose of this study was to compare sleep comfort and quality between personal and new bedding systems. A convenience sample (women, n=33; men, n=29) with no clinical history of disturbed sleep participated in the study. Subjects recorded back and shoulder pain, sleep quality, comfort, and efficiency for 28 days each in their personal beds (pre) and in new medium-firm bedding systems (post). Repeated measures ANOVAs revealed significant improvement between pre- and post-test means for all dependent variables. Furthermore, reduction of pain and stiffness and improvement of sleep comfort and quality became more prominent over time. No significant differences were found for the groupings of age, weight, height, or body mass index. It was found that for the cheapest category of beds, lower back pain was significantly (p<0.01) more prominent than for the medium and higher priced beds. Average bed age was 9.5yrs. It was concluded that new bedding systems can significantly improve selected sleep variables and that continuous sleep quality may be dependent on timely replacement of bedding systems.     

An assembler and disassembler framework for Java™ programmers

The Java™ programming language is primarily used for platform-independent programming. Yet it also offers many productivity, maintainability and performance benefits for platform-specific functions, such as the generation of machine code.

We have created reliable assemblers for SPARC™ , AMD64, IA32 and PowerPC which support all user mode and privileged instructions and with 64 bit mode support for all but the latter. These assemblers are generated as Java source code by our extensible assembler framework, which itself is written in the Java language. The assembler generator also produces javadoc comments that precisely specify the legal values for each operand.

Our design is based on the Klein Assembler System written in Self. Assemblers are generated from a specification, as are table-driven disassemblers and unit tests. The specifications that drive the generators are expressed as Java language objects. Thus no extra parsers are needed and developers do not need to learn any new syntax to extend the framework for additional ISAs.

Every generated assembler is tested against a preexisting assembler by comparing the output of both. Each instruction’s test cases are derived from the cross product of its potential operand values. The majority of tests are positive (i.e., result in a legal instruction encoding). The framework also generates negative tests, which are expected to cause an error detection by an assembler. As with the Klein Assembler System, we have found bugs in the external assemblers as well as in ISA reference manuals.

Our framework generates tens of millions of tests. For symbolic operands, our tests include all applicable predefined constants. For integral operands, the important boundary values, such as the respective minimum, maximum, 0, 1 and −1, are tested. Full testing can take hours to run but gives us a high degree of confidence regarding correctness.     

Combined cognitive behavioral therapy and bupropion for the treatment of problematic on-line game play in adolescents with major depressive disorder

The purpose of the current study was to evaluate the efficacy of cognitive behavioral therapy (CBT) in combination with bupropion for treatment of problematic on-line game play in adolescents with co-morbid major depressive disorder. Sixty-five depressed adolescents with excessive on-line game play were randomly assigned to a CBT group (CBT-Med group (N = 32)) or a clinical control group (Med group (N = 33)). Measures of severity of internet use, depressive symptoms, anxiety symptoms, life satisfaction and school adaptation were assessed at baseline, after the 8 week intervention, and at the end of a 4 week follow-up post-treatment period. Young Internet Addiction Scale scores in the CBT-Med group were reduced compared to those of the Med group, but there was no significant difference in the change of depression scores between two groups. The mean anxiety scores in the CBT-Med group did not change while those in the Med group were increased. The mean life satisfaction scores in the CBT-Med group were increased compared to those of the Med group. CBT in combination with bupropion may be effective for the treatment of depressed adolescents with on-line game addiction, particularly in reducing on-line game play and anxiety, as well as in improving life satisfaction.     

异步片上网络研究综述

异步片上网络具有低动态功耗、对延迟抖动的不敏感、统一的网络接口、较低的系统集成复杂度和较好的电磁兼容能力等众多特性,是下一代片上多核微处理器和多核片上系统的标准片上通信架构之一.在简单介绍异步电路的相关理论后,从多个方面概述了当前异步片上网络的研究成果,包括网络拓扑、同步?异步接口、流控制、服务质量、路由算法、低功耗设计、容错和可测性设计以及设计自动化;然后介绍并分析了一些具有代表性的异步片上网络设计案例.研究显示,异步片上网络具有众多同步片上网络所不具备的优点,大量的片上多核系统将使用异步片上网络作为其片上通信系统,但它们的易用性和网络性能亟待提高.     

Physics-based character skinning using multidomain subspace deformations

In this extended version of our Symposium on Computer Animation paper, we describe a domain-decomposition method to simulate articulated deformable characters entirely within a subspace framework. We have added a parallelization and eigendecomposition performance analysis, and several additional examples to the original symposium version. The method supports quasistatic and dynamic deformations, nonlinear kinematics and materials, and can achieve interactive time-stepping rates. To avoid artificial rigidity, or “locking,” associated with coupling low-rank domain models together with hard constraints, we employ penaltybased coupling forces. The multidomain subspace integrator can simulate deformations efficiently, and exploits efficient subspace-only evaluation of constraint forces between rotated domains using a novel Fast Sandwich Transform (FST). Examples are presented for articulated characters with quasistatic and dynamic deformations, and interactive performance with hundreds of fully coupled modes. Using our method, we have observed speedups of between 3 and 4 orders of magnitude over full-rank, unreduced simulations.