129 research outputs found

    Factors causing variation between the LEED final and pilot checklists in green health-care projects

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    Among most of the LEED registered and LEED certified health-care facilities, there is a credit variation between the LEED pilot checklist and the final checklist. The credit variation between the LEED pilot and final checklists implies failure in achieving the pre-defined green objectives. Most of the credits were given up due to financial reasons. Although most of the credits in the LEED credit list emerge as design issues, accomplishing a LEED rating is primarily the owner??s responsibility. In order to minimize the variation between the LEED pilot checklist and LEED approved checklist, the owner needs to conduct significant project planning. The owner should integrate the LEED objectives early in the project and should include the cost of the LEED process in the capital budget. Since there are limited LEED certified health-care projects, adoption of the systems approach for planning and developing a green health-care facility using the IDEF0 method is recommended. The IDEF0 method can produce an outcome array which represents the matrix of all possible circumstances. This will give the owner and the project team the ability to better forecast cost and schedule decisions, even when there is a lack of historical data relating to green health-care projects. The approach will be beneficial in analyzing the various outcomes, cost, and feasibility of projects in terms of integrating LEED objectives early on. This could minimize the credit variation, as well as cost and schedule overruns during the project execution stage. Adequately defining the full development process upfront is vital to the overall success of any project, especially for green buildings, since they are a developing trend in the construction industry

    A Fixed Point Theorem In 2-Banach Space For Banach Contraction Principle

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    In This Paper we prove An Extension of Banach contraction principle through rational expression in 2-Banach space satisfying Three continuous mappings . Some result with S. banach (1922). And discuss about fixed point theory in 2-Banach space also established a fixed point theorem in 2-Banach space which generalized the result of many mathematician. Mathematics Subject classification: 47H10,54H25 Keywords: Banach Space, Common Fixed point, Triangle inequality , Normed space,                2- Normed space, 2-Banach space

    Stopped Flow Kinetics of MnII Catalysed Periodate Oxidation of 2, 3- dimethylaniline - Evaluation of Stability Constant of the Ternary Intermediate Complex

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    The formation of ternary intermediate unstable complex during the oxidation of aromatic amines by periodate ion catalysed by MnII has been proposed in case of some anilines. This paper is the first report on stopped-flow kinetic study and evaluation of stability constant of ternary complex forming in the MnII - catalysed periodate oxidation of 2, 3-dimethylaniline (D) in acetone-water medium. Stop-flow spectrophotometric method was used to study the ternary complex formation and to determine its stability constant. The stop-flow trace shows the reaction to occur in two steps. The first step, which is presumably the formation of ternary complex, is relatively fast while the second stage is relatively quite slow. The stability constant evaluated for D - MnII - IO4- ternary complex by determining equilibrium absorbance is (2.2 ± 1.0) × 105. Kinetics of ternary complex formation was defined by the rate law(A) under pseudo first order conditions. ln{[C2]eq / ( [C2]eq -[C2])} = kobs . t (A) where, kobs is the pseudo first order rate constant, [C2] is concentration of ternary complex at given time t, and [C2]eq is the equilibrium concentration of ternary complex. © 2015 BCREC UNDIP. All rights reserve

    Factors causing variation between the LEED final and pilot checklists in green health-care projects

    Get PDF
    Among most of the LEED registered and LEED certified health-care facilities, there is a credit variation between the LEED pilot checklist and the final checklist. The credit variation between the LEED pilot and final checklists implies failure in achieving the pre-defined green objectives. Most of the credits were given up due to financial reasons. Although most of the credits in the LEED credit list emerge as design issues, accomplishing a LEED rating is primarily the owner??s responsibility. In order to minimize the variation between the LEED pilot checklist and LEED approved checklist, the owner needs to conduct significant project planning. The owner should integrate the LEED objectives early in the project and should include the cost of the LEED process in the capital budget. Since there are limited LEED certified health-care projects, adoption of the systems approach for planning and developing a green health-care facility using the IDEF0 method is recommended. The IDEF0 method can produce an outcome array which represents the matrix of all possible circumstances. This will give the owner and the project team the ability to better forecast cost and schedule decisions, even when there is a lack of historical data relating to green health-care projects. The approach will be beneficial in analyzing the various outcomes, cost, and feasibility of projects in terms of integrating LEED objectives early on. This could minimize the credit variation, as well as cost and schedule overruns during the project execution stage. Adequately defining the full development process upfront is vital to the overall success of any project, especially for green buildings, since they are a developing trend in the construction industry

    Using Federated Artificial Intelligence System of Intrusion Detection for IoT Healthcare System Based on Blockchain

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    Recently Internet of things (IoT)-based healthcare system has expanded significantly, however, they are restricted by the absence of an intrusion detection mechanism (IDS). Modern technologies like blockchain (BC), edge computing (EC), and machine learning (ML) provide a robust security solution that is well-suited to protecting patients' medical information. In this study, we offer an intelligent intrusion detection mechanism FIDANN that protects the confidentiality of medical data by completing the intrusion detection task by utilising Dwarf mongoose-optimized artificial neural networks (DMO-ANN) through a federated learning (FL) technique. In the context of recent developments in blockchain technology, such as the elimination of contaminating attacks and the provision of complete visibility and data integrity over the decentralized system with minimal additional effort. Using the model at the edges secures the cloud from attacks by limiting information from its gateway with less computing time and processing power as FL works with fewer datasets. The findings demonstrate that our suggested models perform better when dealing with the diversity of data produced by IoT devices

    Multi stress testing of OPV modules for accurate predictive ageing and reliability predictions

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    Organic photovoltaic (OPV) degradation remains a complex challenge and previous studies have shown the degradation to be a function of multiple stresses, so it can be inaccurate to predict failure rates using single stress tests. In this paper, a new testing methodology whereby multiple stresses are applied simultaneously using a “design of experiment (DOE) approach” is reported and used for predictive aging of modules. Multistress data are used for predictive aging of OPV modules under different stress levels; a general log-linear life model has been adapted and applied in order to predict the life of OPV modules and this is compared to experimental data, which show that a close estimation of simulated lifetime is obtained (within 18% accuracy). The life test models can be used for predicting aging of OPV modules in different geographic locations and could be used to account for different degradation rates due to seasonal climatic variations. Furthermore, by using the DOE data, we show how the major stress factors can be screened and their statistical significance upon degradation quantified using analysis of variance. One of the potential benefits of using this approach for OPV degradation studies is that additional factors could be added to study the impact on degradation to provide a more comprehensive study

    Study of antepartum haemorrhage and its maternal and perinatal outcome

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    Background: Antepartum haemorrhage (APH) is defined as bleeding from or into the genital tract after the period of viability until delivery of fetus. Etiology includes placenta previa, abruptio placentae, local causes, systemic causes and idiopathic origin. Objective of this study was to identify factors associated with APH, and to quantitate maternal morbidity, mortality and perinatal outcome in patients with APH at a tertiary care center in India.Methods: The study was a retrospective observational study and patient information was obtained from delivery records of 100 women presenting at gestational age of 28 weeks and above with APH. All patients with bleeding per vagina after 28 weeks of gestation were included in the study and were grouped as – Placenta Previa (PP), Abruptio Placenta (AP) or unknown causes.Results: Out of total 100 cases of APH, placenta previa contributed to 80%, abruptio placenta 19% and 1% unknown causes. Overall maternal mortality was 6%. Perinatal mortality was 42%. Prevalence of low birth weight and preterm babies was high.Conclusions: APH is a major cause of maternal and perinatal morbidity and mortality which could be prevented by early registration, regular antenatal care, early detection of high risk cases, and early referral to higher center. Good facilities for caesarean section, availability of blood banks and multidisciplinary approach with a good NICU can improve maternal and perinatal outcome of APH. The results of this study were found in good agreement with previous studies

    Multivariate Approach for Studying the Degradation of Perovskite Solar Cells.

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    Despite the progress in the performance of perovskite solar cells (PSCs), the absorber layer degradation during prolonged exposure to multiple environmental conditions is still a major issue. As the degradation depends upon many intrinsic and extrinsic factors, the need to adopt a multivariate testing protocol, which provides rapid assessment of device stability, is required. To do this, a Plackett Burman (PB) screening design has been used to analyze 9 different factors that affect the PSC stability; including four extrinsic factors (oxygen, moisture, UV exposure and temperature) and five intrinsic factors (selection of hole transport layer and electron transport layer, absorber layer thickness, halide type and perovskite deposition process). This approach allows us to rank the relative severity of these factors and can be used to narrow the scope of materials and device architectures to be modified, by identifying materials and configurations, which are the most stable. The least and most stable device configurations have been identified and the success of the screening approach has been demonstrated by testing the optimized configurations under ISOS-D1 and –L2 protocols. Importantly, only 12 experiments are needed to establish the most stable combination from the 9 factors thus providing a rapid assessment. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) measurements of perovskite absorber films have been performed in order to understand the degradation pathways and to support the conclusion of PB screening technique
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