scholarly journals Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool

Due to increase in demands for websites, faster deployment requirements and complex functionality requirements, developers face the need for a centralized code repository system to store repetitive codes and a suggestion tool to help them in solving the errors and warnings they face during development. The proposed system provides a centralized database for storing repetitive code segments, errors, warnings and solutions and also a code suggestion mechanism to provide suggestions to the developer during development. The system includes a code collection system to help the user to add the codes, errors and solutions to the centralized database and an analyzer system to fetch the web-page data, errors and warnings to analyze and provide appropriate suggestions to the developer. The proposed system focuses to reduce work and development time of developers by providing code suggestions during development and also facilitate effective code reusability.

Author(s):  
Deisiane Cruz ◽  
Caio Rodrigues ◽  
Otavio Chase ◽  
Dênmora Araújo ◽  
J Felipe Almeida

The purpose of this article is to present an architecture of a reduced-size greenhouse, monitored and controled via Internet of Things (IoT). As an experiment, seeds of Apuleia leiocarpa (Vog.) Macbr were used and at 25oC, 75% germination was obtained. In order to apply the automation on seed germination process, sensors are required and a prototype has been built with support of a computational system installed in its interior by including the control in conserving temperature, humidity and the degree of brightness inside the structure. In this sense, sensors are used for monitoring and control of the variables that most influence in the development of a vegetal species. The proposed system has a cloud-based storage and the effective contributions of the computer system are started from the web platform, transfer the set-points to the controllers, and upload data read from sensors to the same web page.


2019 ◽  
Author(s):  
Deisiane Cruz ◽  
Caio Rodrigues ◽  
João Maciel ◽  
Nilcilene Silva ◽  
Denmora Araujo ◽  
...  

This article presents an architecture of a reduced-size greenhouse, so-called mini-greenhouse monitored via Internet of Things (IoT). For this purpose, a prototype has been built with support of a computational system installed in its interior. So, sensors are used for monitoring and control of the variables that most influence in the development of a vegetal species. This text gives a brief description of the germination factors related on the various possibilities of its use. The proposed system has a cloud-based storage and the effective contributions of the computer system are started from the web platform, transfer the set-points to the controllers, and upload data read from sensors to the same web page.


2017 ◽  
Author(s):  
Valeria Alcantara-Aragon ◽  
Susana Rodrigo-Cano ◽  
Maria Jose Martinez ◽  
Carmen Martinez ◽  
Jose Tapia ◽  
...  

2020 ◽  
pp. 151-156
Author(s):  
A. P. Korablev ◽  
N. S. Liksakova ◽  
D. M. Mirin ◽  
D. G. Oreshkin ◽  
P. G. Efimov

A new species list of plants and lichens of Russia and neighboring countries has been developed for Turboveg for Windows, the program, intended for storage and management of phytosociological data (relevés), is widely used all around the world (Hennekens, Schaminée, 2001; Hennekens, 2015). The species list is built upon the database of the Russian website Plantarium (Plantarium…: [site]), which contains a species atlas and illustrated an online Handbook of plants and lichens. The nomenclature used on Plantarium was originally based on the following issues: vascular plants — S. K. Cherepanov (1995) with additions; mosses — «Flora of mosses of Russia» (Proect...: [site]); liverworts and hornworts — A. D. Potemkin and E. V. Sofronova (2009); lichens — «Spisok…» G. P. Urbanavichyus ed. (2010); other sources (Plantarium...: [site]). The new species list, currently the most comprehensive in Turboveg format for Russia, has 89 501 entries, including 4627 genus taxa compare to the old one with 32 020 entries (taxa) and only 253 synonyms. There are 84 805 species and subspecies taxa in the list, 37 760 (44.7 %) of which are accepted, while the others are synonyms. Their distribution by groups of organisms and divisions are shown in Table. A large number of synonyms in the new list and its adaptation to work with the Russian literature will greatly facilitate the entry of old relevé data. The ways of making new list, its structure as well as the possibilities of checking taxonomic lists on Internet resources are considered. The files of the species list for Turboveg 2 and Turboveg 3, the technique of associating existing databases with a new species list (in Russian) are available on the web page https://www.binran.ru/resursy/informatsionnyye-resursy/tekuschie-proekty/species_list_russia/.


2009 ◽  
Author(s):  
Mirko Luca Lobina ◽  
Davide Mula
Keyword(s):  
Web Page ◽  

2021 ◽  
Vol 13 (2) ◽  
pp. 50
Author(s):  
Hamed Z. Jahromi ◽  
Declan Delaney ◽  
Andrew Hines

Content is a key influencing factor in Web Quality of Experience (QoE) estimation. A web user’s satisfaction can be influenced by how long it takes to render and visualize the visible parts of the web page in the browser. This is referred to as the Above-the-fold (ATF) time. SpeedIndex (SI) has been widely used to estimate perceived web page loading speed of ATF content and a proxy metric for Web QoE estimation. Web application developers have been actively introducing innovative interactive features, such as animated and multimedia content, aiming to capture the users’ attention and improve the functionality and utility of the web applications. However, the literature shows that, for the websites with animated content, the estimated ATF time using the state-of-the-art metrics may not accurately match completed ATF time as perceived by users. This study introduces a new metric, Plausibly Complete Time (PCT), that estimates ATF time for a user’s perception of websites with and without animations. PCT can be integrated with SI and web QoE models. The accuracy of the proposed metric is evaluated based on two publicly available datasets. The proposed metric holds a high positive Spearman’s correlation (rs=0.89) with the Perceived ATF reported by the users for websites with and without animated content. This study demonstrates that using PCT as a KPI in QoE estimation models can improve the robustness of QoE estimation in comparison to using the state-of-the-art ATF time metric. Furthermore, experimental result showed that the estimation of SI using PCT improves the robustness of SI for websites with animated content. The PCT estimation allows web application designers to identify where poor design has significantly increased ATF time and refactor their implementation before it impacts end-user experience.


2012 ◽  
Vol 241-244 ◽  
pp. 2779-2782
Author(s):  
Heng Yao Tang ◽  
Xiao Yan Zhan

On the problems existing in the realization of current accessibility website, we design a web designing architecture, using the web log mining technique to extract user interests and access priority sequence and adopting the dynamic web page information to fill the web page commonly used structure, realize the intelligent , personalized accessibility.


2014 ◽  
Vol 596 ◽  
pp. 292-296
Author(s):  
Xin Li Li

PageRank algorithms only consider hyperlink information, without other page information such as page hits frequency, page update time and web page category. Therefore, the algorithms rank a lot of advertising pages and old pages pretty high and can’t meet the users' needs. This paper further studies the page meta-information such as category, page hits frequency and page update time. The Web page with high hits frequency and with smaller age should get a high rank, while the above two factors are more or less dependent on page category. Experimental results show that the algorithm has good results.


2013 ◽  
Vol 83 ◽  
pp. 193-203 ◽  
Author(s):  
Matthias Müller ◽  
Lars Bernard ◽  
Daniel Kadner
Keyword(s):  

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