Design Techniques of FTTH-GPON Networks for Segmentation and Data Traffic Relief

The hest for technological advancement in mobile communication is due to augmentation of wireless user. The deployment of 5G mobile communication is less than 4G mobile communication due to challenges in security like cyberwarfare, espionage, critical infrastructure threats. Nevertheless, critic of neurological discomforts, tissue damage in living organisms occur in the existence of EMF radiation. Also, physical scarcity for spectral efficiency arises due to ubiquitous data traffic. Inspite of these disputes data rate, low latency, device to device communication is also a challenge. In this paper we provide a survey on radiation effects, security threats, traffic management.

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Logistics Engineering Design Techniques for Fault-Tolerant Avionics Systems.

10.21236/ada137456 ◽

1984 ◽

Cited By ~ 1

Author(s):

M. H. Veatch ◽

A. B. Calvo ◽

J. C. McManus

Keyword(s):

Engineering Design ◽

Fault Tolerant ◽

Design Techniques

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Waste Design using Experimental Design techniques

Journal of Design Sciences and Applied Arts ◽

10.21608/jdsaa.2020.70457 ◽

2020 ◽

Vol 1 (1) ◽

pp. 116-124

Author(s):

Aziza Abouelsoud

Keyword(s):

Experimental Design ◽

Design Techniques

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Prospects for Discovering the Secondary Metabolites of Cordyceps Sensu Lato by the Integrated Strategy

Medicinal Chemistry ◽

10.2174/1573406416666191227120425 ◽

2020 ◽

Vol 17 (2) ◽

pp. 97-120

Author(s):

Shabana Bibi ◽

Yuan-Bing Wang ◽

De-Xiang Tang ◽

Mohammad Amjad Kamal ◽

Hong Yu

Keyword(s):

Drug Design ◽

Biological Activities ◽

Design Methods ◽

Chinese Herbs ◽

Active Metabolites ◽

Computer Aided Drug Design ◽

Design Concepts ◽

Conventional Drug ◽

Computer Aided ◽

Design Techniques

: Some species of Cordyceps sensu lato are famous Chinese herbs with significant biological activities, often used as edible food and traditional medicine in China. Cordyceps represents the largest entomopathogenic group of fungi, including 40 genera and 1339 species in three families and incertae sedis of Hypocreales. Objective: Most of the Cordyceps-derivatives have been approved clinically for the treatment of various diseases such as diabetes, cancers, inflammation, cardiovascular, renal and neurological disorders and are used worldwide as supplements and herbal drugs, but there is still need for highly efficient Cordyceps-derived drugs for fatal diseases with approval of the U.S. Food and Drug Administration. Methods: Computer-aided drug design concepts could improve the discovery of putative Cordyceps- derived medicine within less time and low budget. The integration of computer-aided drug design methods with experimental validation has contributed to the successful discovery of novel drugs. Results: This review focused on modern taxonomy, active metabolites, and modern drug design techniques that could accelerate conventional drug design and discovery of Cordyceps s. l. Successful application of computer-aided drug design methods in Cordyceps research has been discussed. Conclusion: It has been concluded that computer-aided drug design techniques could influence the multiple target-focused drug design, because each metabolite of Cordyceps has shown significant activities for the various diseases with very few or no side effects.

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Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813666191219104133 ◽

2019 ◽

Vol 13 ◽

Author(s):

Faried Effendy ◽

Taufik ◽

Bramantyo Adhilaksono

Keyword(s):

Response Time ◽

Open Source ◽

Poisson Distribution ◽

Mobile Application ◽

Web Applications ◽

Performance Comparison ◽

Memory Usage ◽

Data Traffic ◽

Cpu Utilization

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

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