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Institution

Green University of Bangladesh

EducationDhaka, Bangladesh
About: Green University of Bangladesh is a education organization based out in Dhaka, Bangladesh. It is known for research contribution in the topics: Adsorption & Single-nucleotide polymorphism. The organization has 478 authors who have published 603 publications receiving 4265 citations. The organization is also known as: Green University & GUB.


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Journal ArticleDOI
TL;DR: The real-time constrained optimization problem is solved by using the particle swarm optimization method, which needs the knowledge of the actual current versus voltage curve of each PV generator to determine the best operating point of the system as a whole.
Abstract: Photovoltaic (PV) systems are one of the main actors in distributed power generation. In particular, in urban contexts, the PV generators can be subjected to mismatching phenomena due to the different orientation of the modules with respect to the sun rays or due to shadowing. In these cases, the maximum power point tracking (MPPT) function must be designed carefully. In this paper, architecture, including one dc/dc converter for each PV generator, is considered. The converters' output terminals are series connected to a high-voltage dc bus, where also a bidirectional dc/dc converter managing the power from/to a storage device is plugged. The functional constraints deriving from the dc/dc converters' connection, the mismatching phenomena, the MPPT capabilities of the inverter, connected with its input terminals at the dc bus, are taken into account in order to determine the best operating point of the system as a whole. The real-time constrained optimization problem is solved by using the particle swarm optimization method, which needs the knowledge of the actual current versus voltage curve of each PV generator. The practical impact of this need is also discussed in the paper. The feasibility and the performances of the proposed approach are experimentally validated by using a laboratory prototype.

269 citations

Journal ArticleDOI
TL;DR: This is an updated guideline for the diagnosis and management of allergic and non‐allergic rhinitis, first published in 2007 and produced by the Standards of Care Committee of the British Society of Allergy and Clinical Immunology, using accredited methods.
Abstract: This is an updated guideline for the diagnosis and management of allergic and non-allergic rhinitis, first published in 2007. It was produced by the Standards of Care Committee of the British Society of Allergy and Clinical Immunology, using accredited methods. Allergic rhinitis is common and affects 10–15% of children and 26% of adults in the UK, it affects quality of life, school and work attendance, and is a risk factor for development of asthma. Allergic rhinitis is diagnosed by history and examination, supported by specific allergy tests. Topical nasal corticosteroids are the treatment of choice for moderate to severe disease. Combination therapy with intranasal corticosteroid plus intranasal antihistamine is more effective than either alone and provides second line treatment for those with rhinitis poorly controlled on monotherapy. Immunotherapy is highly effective when the specific allergen is the responsible driver for the symptoms. Treatment of rhinitis is associated with benefits for asthma. Non-allergic rhinitis also is a risk factor for the development of asthma and may be eosinophilic and steroid-responsive or neurogenic and non- inflammatory. Non-allergic rhinitis may be a presenting complaint for systemic disorders such as granulomatous or eosinophilic polyangiitis, and sarcoidoisis. Infective rhinitis can be caused by viruses, and less commonly by bacteria, fungi and protozoa.

170 citations

Journal ArticleDOI
TL;DR: Linking root phenome to microbiome (or its functional traits) and crop management practices may enhance the understanding of rhizospheric interactions, and their role in developing climate-resilient rhizosphere ecosystems.

154 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the quantum information loss between Greenberger-Horne-Zeilinger (GHZ) and $W$ states when they were prepared for two-party quantum teleportation through a noisy channel.
Abstract: Which state loses less quantum information between Greenberger-Horne-Zeilinger (GHZ) and $W$ states when they are prepared for two-party quantum teleportation through a noisy channel? We address this issue by solving analytically a master equation in the Lindblad form with introducing the noisy channels that cause the quantum channels to be mixed states. It is found that the answer to this question is dependent on the type of noisy channel. If, for example, the noisy channel is $({L}_{2,x},{L}_{3,x},{L}_{4,x})$ type, where the $L$'s denote the Lindblad operators, the GHZ state is always more robust than the $W$ state, i.e., the GHZ state preserves more quantum information. In, however, the $({L}_{2,y},{L}_{3,y},{L}_{4,y})$-type channel the situation becomes completely reversed. In the $({L}_{2,z},{L}_{3,z},{L}_{4,z})$-type channel, the $W$ state is more robust than the GHZ state when the noisy parameter $(\ensuremath{\kappa})$ is comparatively small while the GHZ state becomes more robust when $\ensuremath{\kappa}$ is large. In isotropic noisy channel we found that both states preserve an equal amount of quantum information. A relation between the average fidelity and entanglement for the mixed state quantum channels are discussed.

124 citations

Journal ArticleDOI
TL;DR: In this article, the progress of green campus development in China is summarized, including all the initiatives to conduct the energy and resource efficient campus, and the current status of upgrading the energy-and resource-efficient campus to the green campus; the problems occurred during the development are analyzed, and possible approaches and the action plan are explored accordingly, to promote the greencampus development.

113 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202210
2021134
2020162
2019112
201874