Efficient Dynamic Access Analysis Using JavaScript Proxies

JSConTest introduced the notions of effect monitoring and dynamic effect inference for JavaScript. It enables the description of effects with path specifications resembling regular expressions. It is implemented by an offline source code transformation. To overcome the limitations of the JSConTest implementation, we redesigned and reimplemented effect monitoring by taking advantange of JavaScript proxies. Our new design avoids all drawbacks of the prior implementation. It guarantees full interposition; it is not restricted to a subset of JavaScript; it is self-maintaining; and its scalability to large programs is significantly better than with JSConTest. The improved scalability has two sources. First, the reimplementation is significantly faster than the original, transformation-based implementation. Second, the reimplementation relies on the fly-weight pattern and on trace reduction to conserve memory. Only the combination of these techniques enables monitoring and inference for large programs.Comment: Technical Repor

Monitoring and Privacy in Automobile Insurance Markets with Moral Hazard

This paper considers moral hazard insurance markets when voluntary monitoring technologies are available and insureds may choose the precision of monitoring. Also privacy costs incurred thereby are taken into account. Two alternative contract schemes are compared in terms of welfare: (i) monitoring conditional on the loss with only the insurance indemnities based on the monitoring data, and (ii) unrestricted monitoring with both the premiums and the indemnities depending on the data. With any contract scheme some monitoring will be optimal unless the privacy costs increase too fast in relation to the precision of the monitoring signal. In the benchmark situation (without privacy costs) relying completely on both signals (monitoring and the outcome) informative of effort (ii) maximizes welfare. In the presence of privacy costs, the contract with conditional monitoring (i) might dominate the contract which fully includes the outcome and the monitoring signal into the sharing rule (ii). Apart from the direct effect of restricting privacy costs only to the state of loss, there are also an additional indirect incentive and a risk-sharing effect with this contract. Letting the individuals choose the precision of the monitoring technology at the time they reveal the data (ex post) is inefficient with either contract scheme.moral hazard, conditional monitoring, value of information, privacy

Long term condition monitoring of tapestries using image correlation

Digital Image Correlation (DIC) is used to extract non-contact full-field three-dimensional displacement and in-plane strains from an historic tapestries. A DIC-based approach is devised that allows the effect of RH variations on a tapestry to be quantified. A historical tapestry has been monitored in a closely controlled environment and in the natural environment. The results revealed that very small variations in RH can have significant effects on strain. An automated long term monitoring approach has been devised to allow strain data to be extracted in real time from tapestries in remote locations. The results show that DIC provides better understanding of the effect of RH fluctuations on strain which will ultimately lead to more insight into the degradation process of historical tapestries. The paper demonstrates the potential for using DIC as a condition monitoring tool

Do Community-Based Corrections Have an Effect on Recidivism Rates? A Review of Community Supervision, Supportive Reintegration, Electronic Monitoring Programs and Their Impacts on Reducing Reoffending

This paper will examine the impact and effect community-based corrections have on the reduction of recidivism for adult offenders. More specifically, I will focus on three commonly used types of such corrections in the United States: community supervision, supportive reintegration, and electronic monitoring. I propose that these community-based correctional programs will reduce reoffending rates. I will first provide a theoretical perspective to provide a foundational support, followed by a background of community-based corrections and their usage in contemporary American courts. I will then review the research regarding community supervision, supportive reintegration, and electronic monitoring, and discuss how these programs affect recidivism, how they may be improved, and implications for future research. Offender-community integration is more relevant than ever as prison populations continue to increase and more inmates are being released back into society (U.S. Department of Justice 2009). Community-based corrections, if utilized appropriately and efficiently, have the potential to decrease overcrowded prisons, be more cost-effective than incarceration, and reduce reoffending rates (Bouffard and Muftic 2006)

Direct evidence of a blocking heavy atom effect on the water-assisted fluorescence enhancement detection of Hg²⁺ based on a ratiometric chemosensor

At the current stage of chemosensor chemistry, the critical question now is whether the heavy atom effect caused by HTM ions can be blocked or avoided. In the present work, we provide unequivocal evidence to confirm that the heavy atom effect of Hg²⁺ is inhibited by water and other solvent molecules based on results using the chemosensor L. Most importantly, the heavy atom effect and blocking thereof were monitored within the same system by the use of ratiometric fluorescence signal changes of the pyrene motif. These observations not only serve as the foundation for the design of new ‘turn-on’ chemosensors for HTM ions, but also open up new opportunities for the monitoring of organic reactions

A distributed networked approach for fault detection of large-scale systems

Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems. The proposed formulation incorporates a synchronization methodology with a filtering approach in order to reduce the effect of measurement noise and time delays on the fault detection performance. The proposed approach allows the monitoring of multi-rate systems, where asynchronous and delayed measurements are available. This is achieved through the development of a virtual sensor scheme with a model-based re-synchronization algorithm and a delay compensation strategy for distributed fault diagnostic units. The monitoring architecture exploits an adaptive approximator with learning capabilities for handling uncertainties in the interconnection dynamics. A consensus-based estimator with timevarying weights is introduced, for improving fault detectability in the case of variables shared among more than one subsystem. Furthermore, time-varying threshold functions are designed to prevent false-positive alarms. Analytical fault detectability sufficient conditions are derived and extensive simulation results are presented to illustrate the effectiveness of the distributed fault detection technique

Whoʼs Watching Us at Work? Toward a Structural-Perceptual Model of Electronic Monitoring and Surveillance in Organizations

Nearly 80% of organizations now employ some form of employee surveillance. This significant level of use infers a salient need for additional theory and research into the effects of monitoring and surveillance. Accordingly, this essay examines the panoptic effects of electronic monitoring and surveillance (EM/S) of social communication in the workplace and the underlying structural and perceptual elements that lead to these effects. It also provides future scholarly perspectives for studying EM/S and privacy in the organization from the vantage point of contemporary communication technologies, such as the telephone, voice mail, e-mail, and instant messaging, utilized for organizational communication. Finally, four propositions are presented in conjunction with a new communication-based model of EM/S, providing a framework incorporating three key components of the panoptic effect: (a) communication technology use, (b) organizational factors, and (c) organizational policies for EM/S

Monte Carlo simulation of multiple scattered light in the atmosphere

We present a Monte Carlo simulation for the scattering of light in the case of an isotropic light source. The scattering phase functions are studied particularly in detail to understand how they can affect the multiple light scattering in the atmosphere. We show that although aerosols are usually in lower density than molecules in the atmosphere, they can have a non-negligible effect on the atmospheric point spread function. This effect is especially expected for ground-based detectors when large aerosols are present in the atmosphere.Comment: 5 pages. Proceedings of the Atmospheric Monitoring for High-Energy Astroparticle Detectors (AtmoHEAD) Conference, Saclay (France), June 10-12, 201

Exploiting the quantum Zeno effect to beat photon loss in linear optical quantum information processors

We devise a new technique to enhance transmission of quantum information through linear optical quantum information processors. The idea is based on applying the Quantum Zeno effect to the process of photon absorption. By frequently monitoring the presence of the photon through a QND (quantum non-demolition) measurement the absorption is suppressed. Quantum information is encoded in the polarization degrees of freedom and is therefore not affected by the measurement. Some implementations of the QND measurement are proposed.Comment: 4 pages, 1 figur