1,802 research outputs found

    On-Farm Costos of Reducing environmental degradation under risk

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    Farmers respond to environmental regulations by adjusting production practices so as to comply while minimizing their loss in expected income. Ultimately the cost of agro environmental regulation is determined by farm level adjust¬ments. Our farm level simulation framework assesses economic and environmental impacts of hypothetical pesticide restrictions in the context of continuing soil conservation efforts.

    A Review on Wireless Power Transfer

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    This paper is a review of the various designs put forward by various people regarding the Wireless Power Transfer (WPT). Here the designs have been discussed, along with the purpose that the design can be used for, the efficiency of the power produced and also the ways to improve the efficiency of the design. The values of various parameters and diagrams used are based on the experimental results of various researchers. Finally, a suitable conclusion has been drawn regarding the best design, which can be used for WPT taking into consideration the various associated factors that have been discussed here

    Dyspnea Experience and Dyspnea Management in Patients with Chronic Obstructive Pulmonary Disease in Bangladesh

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    Purpose: This study aimed to evaluate dyspnea experience and dyspnea management intervention used by Chronic Obstructive Pulmonary Disease (COPD) patients in Bangladesh.Methods: A descriptive cross-sectional design was used. The symptom management model developed by Dodd et al. was used to guide the study. Data were collected from 140 COPD patients by using self-report questionnaire. Descriptive statistics was used to analyze the data.Results: The patients perceived dyspnea difficulty within the past 24 hours and within the past 7 days at moderate level. The most used dyspnea management methods included bronchodilators, leaning forward position, and keeping still. The patients perceived bronchodilators as somewhat effective method and perceived leaning forward position as quite a bit effective method in reducing dyspnea.Conclusion: The study could guide nurses to promote dyspnea management intervention for COPD patients in Bangladesh, in order to enhance higher quality of life

    Face Biometric Cloud Authentication Access Using Extreme Learning Class Specific Linear Discriminant Regression Classification Method

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    The Extreme Learning Class Specific Linear Discriminant Regression Classification used in this proposed system aims at improving the accuracy and recognition rate of the face biometric identification for secured cloud access. The accuracy is improved by maximizing and minimizing the reconstruction error. The between class reconstruction error (BCRE) and within-class reconstruction error (WCRE) are the two values simultaneously increased and decreased for every sample to provide improved accuracy. By selecting the suitable value of WCRE, the learned projection matrix for the discriminant subspace is identified. The class specific representation is implemented for the label created in feature vector to further improve the efficiency of identifying a face. Based on the classification results given by the proposed EL-CSLDRC method, an efficient access of secured data from the big data cloud system is promoted

    Smart Vehicle System Using Arduino

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    Transportation is a basic need of society and with the increasing population; indirectly there is an increase in the vehicle density, which may lead to many road accidents resulting in injuries and sometimes lead to death. To prevent this particularly, a system has been designed for accident location detection, accident prevention due to the upper issue of the dipper and anti-collision system. In this system, the shock sensor, ultrasonic sensor and temperature sensor are used as an input to the system along with GPS and GSM for real-time analysis and corresponding responses are analyzed; if any hazard occurs, the processing unit (Arduino) will take the appropriate action

    Performance Improvement of Cloud Computing Data Centers Using Energy Efficient Task Scheduling Algorithms

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    Cloud computing is a technology that provides a platform for the sharing of resources such as software, infrastructure, application and other information. It brings a revolution in Information Technology industry by offering on-demand of resources. Clouds are basically virtualized datacenters and applications offered as services. Data center hosts hundreds or thousands of servers which comprised of software and hardware to respond the client request. A large amount of energy requires to perform the operation.. Cloud Computing is facing lot of challenges like Security of Data, Consumption of energy, Server Consolidation, etc. The research work focuses on the study of task scheduling management in a cloud environment. The main goal is to improve the performance (resource utilization and redeem the consumption of energy) in data centers. Energy-efficient scheduling of workloads helps to redeem the consumption of energy in data centers, thus helps in better USAge of resource. This is further reducing operational costs and provides benefits to the clients and also to cloud service provider. In this abstract of paper, the task scheduling in data centers have been compared. Cloudsim a toolkit for modeling and simulation of cloud computing environment has been used to implement and demonstrate the experimental results. The results aimed at analyzing the energy consumed in data centers and shows that by having reduce the consumption of energy the cloud productivity can be improved

    Detachment of Membrane Bound Virions by Competitive Ligand Binding Induced Receptor Depletion

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    Multivalent receptor-mediated interactions between virions and a lipid membrane can be weakened using competitive nonpathogenic ligand binding. In particular, the subsequent binding of such ligands can induce detachment of bound virions, a phenomenon of crucial relevance for the development of new antiviral drugs. Focusing on the simian virus 40 (SV40) and recombinant cholera toxin B subunit (rCTB), and using (monosialotetrahexosyl)ganglioside (GM1) as their common receptor in a supported lipid bilayer (SLB), we present the first detailed investigation of this phenomenon by employing the quartz crystal microbalance with dissipation (QCM-D) and total internal reflection fluorescence (TIRF) microscopy assisted 2D single particle tracking (SPT) techniques. Analysis of the QCM-D-measured release kinetics made it possible to determine the binding strength of a single SV40-GM1 pair. The release dynamics of SV40, monitored by SPT, revealed that a notable fraction of SV40 becomes mobile just before the release, allowing to estimate the distribution of SV40-bound GM1 receptors just prior to release
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