563 research outputs found

    The Perception of Chinese Construction Professionals Towards the Obstacles Implementing Green Construction

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    Green construction plays a key role as building block of sustainable development. The economy is significantly affected by the construction industry of the country. There are certain stakeholders in the green construction industry, however project managers (PMs) play significant role in the process of a construction/ rehabilitation project. Generally, the initiative for change or implementing a new system is very challenging issue to deal with. Project manager has to encounter certain obstacles either at several stages of the green construction projects. The present study deals with the identification of the most critical obstacles that have the greatest influence on a project’s outcome in general and particularly in China. To rank the different obstacles extracted from the literature, we use multi criteria decision making (MCDM) tool i.e. TOPSIS. For obtaining input data a team of six experts (project managers) from top Chinese construction companies with an experience of more than 12 years were selected. The results depicts that the most relevant and important obstacles which are critical for green project management are managerial and psychological obstacles and they need to be addressed to improve the project management performance. Keywords: green construction, project management, topsis, project managers

    The genus Eugenia L. (Myrtaceae) in India

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    This paper provides a comprehensive taxonomic account of the genus Eugenia L. occurring in India. A total of 25 species and two varieties have been enumerated, of which 21 taxa are endemic to the Western Ghats. Eugenia macrosepala, an endemic species of the Western Ghats is reinstated here. Each species is provided with a short description, well known synonyms, types, distribution and phenology. An identification key is also provided

    Calibration of ZMPT101B voltage sensor module using polynomial regression for accurate load monitoring

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    Smart Electricity is quickly developing as the results of advancements in sensor technology. The accuracy of a sensing device is the backbone of every measurement and the fundamental of every electrical quantity measurement is the voltage and current sensing. The sensor calibration in the context of this research means the marking or scaling of the voltage sensor so that it can present accurate sampled voltage from the ADC output using appropriate algorithm. The peakpeak input voltage (measured with a standard FLUKE 115 meter) to the sensor is correlated with the peak-peak ADC output of the sensor using 1 to 5th order polynomial regression, in order to determine the best fitting relationship between them. The arduino microcontroller is used to receive the ADC conversion and is also programmed to calculate the root mean square value of the supply voltage. The analysis of the polynomials shows that the third order polynomial gives the best relationship between the analog input and ADC output. The accuracy of the algorithm is tested in measuring the root mean square values of the supply voltage using instantaneous voltage calculation and peak-peak voltage methods. The error in the measurement is less than 1% in the peak-peak method and less than 2.5% in the instantaneous method for voltage measurements above 50V AC, which is very good for measurements in utility. Therefore, the proposed calibration method will facilitate more accurate voltage and power computing for researchers and designers especially in load monitoring where the applied voltage is 240V or 120V ranges

    Recent approaches and applications of non-intrusive load monitoring

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    The Appliance Load Monitoring is vital in every energy consuming system be it commercial, residential or industrial in nature. Traditional load monitoring system, which used to be intrusive in nature require the installation of sensors to every load of interest which makes the system to be costly, time consuming and complex. Nonintrusive load monitoring (NILM) system uses the aggregated measurement at the utility service entry to identify and disaggregate the appliances connected in the building, which means only one set of sensors is required and it does not require entrance into the consumer premises. We presented a study in this paper providing a comprehensive review of the state of art of NILM, the different methods applied by researchers so far, before concluding with the future research direction, which include automatic home energy saving using NILM. The study also found that more efforts are needed from the researchers to apply NILM in appliance energy management, for example a Home Energy Management System (HEMS)

    STUDY OF HALL AND SORET EFFECT ON MHD FLOW WITH A RAMPED PLATE TEMPERATURE OF AN EXPONENTIALLY ACCELERATED VERTICAL PLATE EMBEDDED IN A POROUS MEDIUM

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    The present literature deals with the study of MHD flow of an incompressible viscous electrically conducting fluid along an exponentially accelerated infinite vertical plate in a rotating system. The effects of thermodiffusion, thermal radiation and Hall current, are analysed with ramped and isothermal plate conditions.  The non-dimensional coupled partial differential equations of the model are solved analytically by using Laplace Transform method with the help of Heaviside step function; thus the expression for velocity field, temperature field, concentration field, skin friction coefficient, Nusselt number and Sherwood number are obtained. The influence of physical parameters such as m (Hall parameter), Sr (Soret number), K (Darcy permeability), λ (exponential parameter), Ω (rotation parameter) and R (radiation parameter) on these fields are discussed in detail through graphs

    Clonazepam induced maculopapular rash: a case report

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    Clonazepam is a benzodiazepine with prominent anticonvulsant action than other members of the group at equisedating doses. It especially blocks pentylenetetrazole-induced seizures. Other important actions include anxiolysis. Common adverse effects to Clonazepam include drowsiness and lethargy. In this submission we report a case of Clonazepam induced maculopapular rash in a 30 year old female treated for panic disorder

    Development, implementation, and analysis of adverse drug reaction monitoring system in a rural tertiary care teaching hospital in Narketpally, Telangana

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    Background: Adverse drug reactions (ADR) are the fourth leading cause of mortality and a great concern in therapeutics. Pharmacovigilance is more important in India as the health care system is inadequate with poor doctor-patient ratio, high incidence of self-medication, and presence of counterfeit drugs. The present study was conducted with the aim of analyzing the pattern of ADR occurring in a rural tertiary care hospital with a newly established pharmacovigilance center and to identify the most frequent ADRs, common drugs implicated and severity of reactions.Methods: A non-interventional observational prospective study was conducted over a year. The red boxes for dropping the filled yellow ADR forms were installed in all the wards and outpatient departments. Additional information and missing data were obtained personally by either consulting the physician or through case sheets.Results: The most common class of drugs implicated in the causation of ADRs was antimicrobials (52%), followed by drugs acting on the central nervous system. The most commonly observed ADRs were dermatological Type B reactions. The majority of the reactions belonged to possible or probable category, but no reaction was categorized as definite.Conclusion: Dermatological reactions are the most common ADR occurring in our hospital and antimicrobials are the most common causative drugs. The reporting rate was adequate, and there is still a need for increasing the awareness and knowledge about ADR reporting system and pharmacovigilance for promoting the safe use of drugs

    Effects of Chest Compression Fraction on Return of Spontaneous Circulation in Patients with Cardiac Arrest; a Brief Report

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    Introduction: The association between chest compression fraction (CCF) and return of spontaneous circulation (ROSC) has been a controversial issue in literature; and both positive and negative correlations have been reported between CCF and survival rate. Objective: The present study was conducted to determine the relationship between the rate and outcomes of chest compression and between CCF and ROSC in patients with cardiac arrest. Method: The present prospective observational study was conducted during 2018 on patients with cardiac arrest aged 18-80 years. Participants with end-stage renal diseases, malignancies and grade IV heart failure were excluded. A stop watch was set upon the occurrence of a code blue in the emergency department, and time was recorded by the observer upon the arrival of the code blue team leader (a maximum permissible duration of 10 minutes). The interruptions in chest compressions were recorded using a stopwatch, and CCF was calculated by dividing the duration of chest compression by the total duration of cardiac arrest observed. Results: Totally, 45 participants were enrolled. Most of the patients had non-shockable rhythms and underwent CPR based on related algorithm. Hypoxia and hypovolemia were the two probable etiology of cardiac arrest; and coronary artery disease was the most prevalent underlying disease. All patients with ROSC had CCF more than 70%. A CCF below 70% was observed in 21 cases (46.7%), and a fraction of at least 70% in 24 cases. All patients with ROSC had CCF more than 70%. A CCF below 70% was observed in 21 cases (46.7%), and a fraction of at least 70% in 24. A significantly higher duration and fraction of chest compression was observed in the participants who attained ROSC (P<0.001). Conclusion: Based on the findings of current study, it seems that significantly higher chest compression durations and fractions were found to be associated with ROSC, which was achieved in the majority of the participants with a CCF of at least 80%
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