101 research outputs found

    SELECTION OF TEMPORARY REHABILITATION LOCATION AFTER DISASTER: A REVIEW

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    Temporary rehabilitation is extremely important to recover after disaster allowing people to return back to their normal activities like work, school, cooking, housekeeping etc. This study recapitulates the different models used for the selection of temporary rehabilitation location after different disaster. It explains various guiding principles, selection criteria, minimum standard for victims to be provided, various tools and techniques used for locating the effective site. Basic services like health facility, transportation, accessibility and livelihood are primary concern while selecting any site for temporary resettlement

    A framework to analyze noise factors of automotive perception sensors

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    Automated vehicles (AVs) are one of the breakthroughs of this century. The main argument to support their development is increased safety and reduction of human and economic losses; however, to demonstrate that AVs are safer than human drivers billions of miles of testing are required. Thus, realistic simulation and virtual testing of AV systems and sensors are crucial to accelerate the technological readiness. In particular, perception sensor measurements are affected by uncertainties due to noise factors; these uncertainties need to be included in simulations. This letter presents a framework to exhaustively analyze and simulate the effect of the combination of noise factors on sensor data. We applied the framework to analyze one sensor, the light detection and ranging (LiDAR), but it can be easily adapted to study other sensors. Results demonstrate that single noise factor analysis gives an incomplete knowledge of measurement degradation and perception is dramatically hindered when more noises are combined. The proposed framework is a powerful tool to predict the degradation of AV sensor performance

    SELECTION OF TEMPORARY REHABILITATION LOCATION AFTER DISASTER: A REVIEW

    Get PDF
    Temporary rehabilitation is extremely important to recover after disaster allowing people to return back to their normal activities like work, school, cooking, housekeeping etc. This study recapitulates the different models used for the selection of temporary rehabilitation location after different disaster. It explains various guiding principles, selection criteria, minimum standard for victims to be provided, various tools and techniques used for locating the effective site. Basic services like health facility, transportation, accessibility and livelihood are primary concern while selecting any site for temporary resettlement

    INQUIRY INTO THE IMPLEMENTATION OF BUSH’S EXECUTIVE ORDER 13211 AND THE IMPACT ON ENVIRONMENTAL AND PUBLIC HEALTH REGULATION

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    Executive Order 13211, promulgated in 2001, requires the federal government to consider the impact of federal action on energy independence as part of the George W. Bush’s National Energy Policy. This law review examines whether EO 13211 was used to curtail environmental protection and natural resource conservation. The article begins with a review of the procedure required of federal agencies under EO 13211 and its associated documents. The paper then examines case law and published federal rulemaking proceedings and examines how federal agencies apply tests to evaluate the potential energy effect. The study concludes that EO 13211 strikes a reasonable effective balance between environmental conservation and energy development

    Calibrating trust through knowledge : introducing the concept of informed safety for automation in vehicles

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    There has been an increasing focus on the development of automation in vehicles due its many potential benefits like safety, improved traffic efficiency, reduced emissions etc. One of the key factors influencing public acceptance of automated vehicle technologies is their level of trust. Development of trust is a dynamic process and needs to be calibrated to the correct levels for safe deployment to ensure appropriate use of such systems. One of the factors influencing trust is the knowledge provided to the driver about the system’s true capabilities and limitations. After a 56 participants driving simulator study, the authors found that with the introduction of knowledge about the true capabilities and limitations of the automated system, trust in the automated system increased as compared to when no knowledge was provided about the system. Participants experienced two different types of automated systems: low capability automated system and high capability automated system. Interestingly, with the introduction of knowledge, the average trust levels for both low and high capability automated systems were similar. Based on the experimental results, the authors introduce the concept of informed safety, i.e., informing the drivers about the safety limits of the automated system to enable them to calibrate their trust in the system to an appropriate level

    Application of artificial intelligence in early fault detection of transmission line-a case study in India

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    Reliable energy is ensured by the power quality, safety and security. For reliability and economic growth of transmission utilities, it is necessary to maintain continuity of supply, which is challenging under deregulated system. It is essential for utilities to conduct regular maintenance of transmission lines before supply interrupts. To protect line from fault, it is necessary to detect fault on line, its classification and location at the earliest. Various smart techniques along with application of artificial intelligence (AI) in power system are under investigation. This paper tries to find solution by identifying practical common faults occurred on transmission lines, and also suggests the suitable maintenance methodology. It uses the artificial neural network (ANN) method and live line maintenance technique (LLMT) for pre identification of a fault and subsequent predictive maintenance. Paper compares results of combination of ANN with LLMT and cold line maintenance technique (CLMT). Comparison of statistical analysis shows combine model of ANN and LLMT results in minimize outage time, failure rate which can improve system availability and increases revenue

    Reimagining Witches in Contemporary Hindi Cinema: A Study of “Bulbbul” and “Roohi”

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    Witch-hunting, an age-old practice in India, survives in a myriad of avatars in rural and urban areas. These avatars of witch-hunting have often been trapped in the binary of Indian modernity and Indian traditions, with the latter often embracing unchallenged superstitious beliefs. Herein we study the way the binary is handled in two recent telefilms, namely Bulbbul and Roohi, as they aim to revolutionise the portrayal of witches in Hindi cinema. The paper looks at how the films in question subvert the genesis of witches and witch-hunts, and how in the process of undermining superstitious belief, they situate witches as embodiment of an emancipatory discourse that resists the silencing of women, a practise still serves the patriarchal standards of a heteronormative, bourgeois society. In so doing, our reading of the films engages with questions such as: How have witches been defined in Indian culture? How are these witches being imagined in the films in question? What implications do these redefinitions have in terms of the feminist movement in India, or in terms of the larger portrayal of Indian women in Hindi cinema

    A Study of Impact of Behavioural Factors on ESG Investment

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    Purpose of the Study: The main aim of the study is to analyze the behavioural factors affecting ESG investments in India. Methodology: The study is based on primary data. Data is collected through a well- structured questionnaire. The respondents are drawn by means of convenient sampling method. The sample of 219 Respondents was collected for the study. Findings: It is found that the Behavioral aspect is dependent on ESG factors. Practical Implications: Through this study, it is expected to get significant result and suggestions which could benefit the investors. Originality / Value: To the best of the authors’ knowledge, this manuscript is the only research which uses the Regression Model with reference to ESG in India

    Beyond Baby Steps An Empirical Study of the Impact of Environmental Justice Executive Order 12898

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    This study evaluated the impact of Executive Order (EO) 12898 to advance environmental justice. We conducted a review evaluating the frequency and effective use of EO 12898 since execution with particular focus following President Obama’s Plan EJ 2014. We found that both EO 12898 and Plan EJ 2104 had little, if any, impact on federal regulatory decision making. To the extent federal agencies discussed EO 12898, most did so in boilerplate rhetoric that satisfied compliance but was devoid of detailed thought or analysis. In the 21st year, with the exception of the Environmental Protection Agency, very little federal regulatory activity included references to EO 12898

    How driver behaviour and parking alignment affects inductive charging systems for electric vehicles

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    AbstractInductive charging, a form of wireless charging, uses an electromagnetic field to transfer energy between two objects. This emerging technology offers an alternative solution to users having to physically plug in their electric vehicle (EV) to charge. Whilst manufacturers claim inductive charging technology is market ready, the efficiency of transfer of electrical energy is highly reliant on the accurate alignment of the coils involved. Therefore understanding the issue of parking misalignment and driver behaviour is an important human factors question, and the focus of this paper. Two studies were conducted, one a retrospective analysis of 100 pre-parked vehicles, the second a dynamic study where 10 participants parked an EV aiming to align with a charging pad with no bay markings as guidance. Results from both studies suggest that drivers are more accurate at parking laterally than in the longitudinal direction, with a mean lateral distance from the centre of the bay being 12.12 and 9.57cm (retrospective and dynamic studies respectively) compared to longitudinally 23.73 and 73.48cm. With current inductive charging systems having typical tolerances of approximately ±10cm from their centre point, this study has shown that only 5% of vehicles in both studies would be aligned sufficiently accurately to allow efficient transfer of electrical energy through induction
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