scholarly journals LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM

2018 ◽  
Vol IV-4/W7 ◽  
pp. 129-134
Author(s):  
R. Sihombing ◽  
V. Coors
Keyword(s):  
Measurement Data ◽  
Transformation Process ◽  
Environmental Data ◽  
Geospatial Data ◽  
Easy Access ◽  
Web Browser ◽  
Existing Building ◽  
Visualization System ◽  
Related Data ◽  
2D And 3D

<p><strong>Abstract.</strong> In a transformation process to become a climate-neutral city campus, universities have to deal with the sustainable concept. Since “human factor” plays a significant role in the transformation process, providing easy access to environmental data to influence building occupants’ behavior is essential. By utilizing energy-related data without spatial attribute and existing building geospatial data, data visualization in a web browser can be established for both 2D and 3D platforms. Our implementation presents a visualization of indoor sensor measurement data, where the same geospatial data can be used for both 2D and 3D visualizations even though the 3D platform needs an adjustment. Our approach results in a monitoring tool prototype based on visualization of indoor sensors measurement data, which can be accessed easily in a web browser by all building occupants.</p>

scholarly journals BRENDA, the ELIXIR core data resource in 2021: new developments and updates

2020 ◽  
Vol 49 (D1) ◽  
pp. D498-D508
Author(s):  
Antje Chang ◽  
Lisa Jeske ◽  
Sandra Ulbrich ◽  
Julia Hofmann ◽  
Julia Koblitz ◽  
...  
Keyword(s):  
Intracellular Localization ◽  
Easy Access ◽  
New Developments ◽  
Data Resource ◽  
Core Data ◽  
Related Data ◽  
Primary Literature ◽  
Ligand Interactions ◽  
Genome Annotations ◽  
Individual Enzyme

Abstract The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified enzymes, and the integration of newly discovered enzymes. The main part contains &gt;5 million data for ∼90 000 enzymes from ∼13 000 organisms, manually extracted from ∼157 000 primary literature references, combined with information of text and data mining, data integration, and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, genome annotations, ligand information, taxonomic, bibliographic, and kinetic data. BRENDA offers an easy access to enzyme information from quick to advanced searches, text- and structured-based queries for enzyme-ligand interactions, word maps, and visualization of enzyme data. The BRENDA Pathway Maps are completely revised and updated for an enhanced interactive and intuitive usability. The new design of the Enzyme Summary Page provides an improved access to each individual enzyme. A new protein structure 3D viewer was integrated. The prediction of the intracellular localization of eukaryotic enzymes has been implemented. The new EnzymeDetector combines BRENDA enzyme annotations with protein and genome databases for the detection of eukaryotic and prokaryotic enzymes.

Design and Development of Gesture Based Gaming Console

2021 ◽  
pp. 51-56
Author(s):  
Sarika Chaudhary ◽  
Shalini Bhaskar Bajaj ◽  
Aman Jatain ◽  
Pooja Nagpal
Keyword(s):  
Future Development ◽  
Video Game ◽  
Computer Game ◽  
3D Graphics ◽  
Game Engine ◽  
Web Browser ◽  
Unity 3D ◽  
Game Controller ◽  
Gaming Environment ◽  
2D And 3D

Game controllers have been planned and improved throughout the years to be as easy to understand as could reasonably be expected. A game controller is a gadget utilized with games or theatre setups to give contribution to a computer game, commonly to control an item or character in the game. Information gadgets that have been named game controllers incorporate consoles, mice, gamepads, joysticks, and so on. A few controllers are intended to be purposely best for one sort of game, for example, guiding wheels for driving games, move cushions for moving games, and light firearms for firing games. The aim here is to create a virtual environment, where the user is appealed by various gesture controls in a gaming application. A Gesture is an action that has to be seen or felt by someone else (here a PC) and has to convey some piece of information. Now obviously, to create a virtual gaming environment, we need to create a real-time gaming application first. We’ll be designing our 2D and 3D gaming applications through Unity 3D video game engine. The data used in this project is primarily from the Ego Hands dataset. After an input has been taken, and the consequent action has been performed, we’ll use this activity for future development of the model by using Tensor-Flow. The input will be taken through the webcam of the PC which will be accessed and combined to the gaming application and hands dataset by WebGL. WebGL is a JavaScript API for rendering interactive 2D and 3D graphics within any compatible web browser without the use of plug-ins.

Semantic Integration and Knowledge Discovery for Environmental Research

2008 ◽  
pp. 213-235
Author(s):  
Zhiyuan Chen ◽  
Aryya Gangopadhyay ◽  
George Karabatis ◽  
Michael McGuire ◽  
Claire Welty
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Semantic Network ◽  
Semantic Integration ◽  
Environmental Data ◽  
Data Sources ◽  
Environmental Research ◽  
Related Data ◽  
Use Of Data ◽  
Data Semantics

Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new metadata approach to elicit semantic information from environmental data and implement semantics-based techniques to assist users in integrating, navigating, and mining multiple environmental data sources. Our system contains specifications of various environmental data sources and the relationships that are formed among them. User requests are augmented with semantically related data sources and automatically presented as a visual semantic network. In addition, we present a methodology for data navigation and pattern discovery using multi-resolution browsing and data mining. The data semantics are captured and utilized in terms of their patterns and trends at multiple levels of resolution. We present the efficacy of our methodology through experimental results.

Design of a Greenhouse Visualization System Based on Cloud Computing and Android System

2014 ◽  
Vol 519-520 ◽  
pp. 1455-1460
Author(s):  
Li Hong Xu ◽  
Lu Lin Yang ◽  
Rui Hua Wei
Keyword(s):  
Data Storage ◽  
3D Visualization ◽  
Smart Phone ◽  
Crop Model ◽  
Environmental Data ◽  
Cloud Platform ◽  
Visualization System ◽  
Traceability System ◽  
The Relationship ◽  
Big Data Storage

This visualization system aimed at collecting and storing environmental data and crops growing data so as to establish the relationship between environmental data and crop growth data.In order to solve the problem of big data storage,this paper put forward a new system architecture “Data collect+Cloud+Android”,which took advantage of cloud platform to store greenhouse environmental data and crops growth 3D data.Greenhouse environmental data was automatically uploaded to cloud platform and Android smart phone exchanged data with cloud platform.The greenhouse visualization system included:3D visualization of parameters in greenhouse,3D crop model,traceability system and video in greenhouse.During the test,the system runs smoothly and no data packet loss.

scholarly journals TRANSFORMASI GARAP GENDING CUCUR BAWUK KE DALAM MUSIK CAMPURSARI KELOMPOK BALISA

2020 ◽  
Vol 19 (2) ◽  
pp. 117-129
Author(s):  
Heri Prasetyo ◽  
Muhammad Nur Salim
Keyword(s):  
Creative Process ◽  
Qualitative Methodology ◽  
Transformation Process ◽  
Musical Form ◽  
Music Production ◽  
Related Data

The transformation of garap music into campursari music of the Balisa group in Sragen was motivated by the phenomenon of garap transfer from traditional musical karawitan into campursari musical form. This garap transition is a creative way for Balisa members to work on garap gending, one of which is Gendhing Cucur Bawuk into campursari music. The creative process that occurs in the elements of working on music is manifested in the stages in transforming the processing of gending. The transformation process of gending is influenced by several supporting factors. To answer this problem, the author uses the concept of garap and is supported by thoughts about transformation. This research uses a qualitative methodology, by conducting observations, interviews and literature studies so that information or related data are obtained. The purpose of this study was to determine the process of transformation of music production that occurred in the Balisa Campursari group. The results showed that the transformation of music production in the Campursaari Balisa group went through several stages such as instrument adjustment, laras adjustment, and style adjustment. The factors that support this transformation process are determined by the “penggarap”, garap determinant and garap consideration.Keywords: transformation, campursari music, garap gending.

scholarly journals CartograTree: Enabling Landscape Genomics for Forest Trees

2016 ◽  
Author(s):  
Nic Herndon ◽  
Emily S Grau ◽  
Iman Batra ◽  
Steven A Demurjian Jr. ◽  
Hans A Vasquez-Gross ◽  
...  
Keyword(s):  
Population Structure ◽  
Economic Value ◽  
Genomic Data ◽  
Environmental Data ◽  
Geospatial Data ◽  
Data Sets ◽  
Forest Trees ◽  
Analytic Framework ◽  
Landscape Genomics ◽  
The World

Forest trees cover just over 30% of the earth's surface and are studied by researchers around the world for both their conservation and economic value. With the onset of high throughput technologies, tremendous phenotypic and genomic data sets have been generated for hundreds of species. These long-lived and immobile individuals serve as ideal models to assess population structure and adaptation to environment. Despite the availability of comprehensive data, researchers are challenged to integrate genotype, phenotype, and environment in one place. Towards this goal, CartograTree was designed and implemented as a repository and analytic framework for genomic, phenotypic, and environmental data for forest trees. One of key components, the integration of geospatial data, allows the display of environmental layers and acquisition of environmental metrics relative to the positions of georeferenced individuals.

scholarly journals CartograTree: Enabling landscape genomics for forest trees

2016 ◽  
Author(s):  
Nic Herndon ◽  
Emily S Grau ◽  
Iman Batra ◽  
Steven A Demurjian Jr. ◽  
Hans A Vasquez-Gross ◽  
...  
Keyword(s):  
Economic Value ◽  
Environmental Data ◽  
Geospatial Data ◽  
Data Sets ◽  
Forest Trees ◽  
Analytic Framework ◽  
Landscape Genomics ◽  
Data Limitations ◽  
New Development ◽  
The World

Forest trees cover just over 30% of the earth's surface and are studied by researchers around the world for both their conservation and economic value. With the onset of high throughput technologies, tremendous phenotypic and genomic data sets have been generated for hundreds of species. These long-lived and immobile individuals serve as ideal models to assess population structure and adaptation to environment. Despite the availability of comprehensive data, researchers are challenged to integrate genotype, phenotype, and environment in one place. Towards this goal, CartograTree was designed and implemented as an open repository and open-source analytic framework for genomic, phenotypic, and environmental data for forest trees. One of its key components, the integration of geospatial data, allows the display of environmental layers and acquisition of environmental metrics relative to the positions of georeferenced individuals. Currently, CartograTree uses the Google Maps API to load environmental data. Limitations inherent to this API are driving new development with a focus on functionality to provide efficient queries of numerous environmental metrics.

scholarly journals CartograTree: Enabling landscape genomics for forest trees

2016 ◽  
Author(s):  
Nic Herndon ◽  
Emily S Grau ◽  
Iman Batra ◽  
Steven A Demurjian Jr. ◽  
Hans A Vasquez-Gross ◽  
...  
Keyword(s):  
Economic Value ◽  
Environmental Data ◽  
Geospatial Data ◽  
Data Sets ◽  
Forest Trees ◽  
Analytic Framework ◽  
Landscape Genomics ◽  
Data Limitations ◽  
New Development ◽  
The World

Forest trees cover just over 30% of the earth's surface and are studied by researchers around the world for both their conservation and economic value. With the onset of high throughput technologies, tremendous phenotypic and genomic data sets have been generated for hundreds of species. These long-lived and immobile individuals serve as ideal models to assess population structure and adaptation to environment. Despite the availability of comprehensive data, researchers are challenged to integrate genotype, phenotype, and environment in one place. Towards this goal, CartograTree was designed and implemented as an open repository and open-source analytic framework for genomic, phenotypic, and environmental data for forest trees. One of its key components, the integration of geospatial data, allows the display of environmental layers and acquisition of environmental metrics relative to the positions of georeferenced individuals. Currently, CartograTree uses the Google Maps API to load environmental data. Limitations inherent to this API are driving new development with a focus on functionality to provide efficient queries of numerous environmental metrics.

scholarly journals CartograTree: Enabling landscape genomics for forest trees

2016 ◽  
Author(s):  
Nic Herndon ◽  
Emily S Grau ◽  
Iman Batra ◽  
Steven A Demurjian Jr. ◽  
Hans A Vasquez-Gross ◽  
...  
Keyword(s):  
Economic Value ◽  
Environmental Data ◽  
Geospatial Data ◽  
Data Sets ◽  
Forest Trees ◽  
Analytic Framework ◽  
Landscape Genomics ◽  
Data Limitations ◽  
New Development ◽  
The World

Forest trees cover just over 30% of the earth's surface and are studied by researchers around the world for both their conservation and economic value. With the onset of high throughput technologies, tremendous phenotypic and genomic data sets have been generated for hundreds of species. These long-lived and immobile individuals serve as ideal models to assess population structure and adaptation to environment. Despite the availability of comprehensive data, researchers are challenged to integrate genotype, phenotype, and environment in one place. Towards this goal, CartograTree was designed and implemented as an open repository and open-source analytic framework for genomic, phenotypic, and environmental data for forest trees. One of its key components, the integration of geospatial data, allows the display of environmental layers and acquisition of environmental metrics relative to the positions of georeferenced individuals. Currently, CartograTree uses the Google Maps API to load environmental data. Limitations inherent to this API are driving new development with a focus on functionality to provide efficient queries of numerous environmental metrics.

scholarly journals Rescaling smart destinations: The growing importance of smart geospatial services during and after COVID-19 pandemic

2020 ◽  
Vol 24 (3) ◽  
pp. 221-228
Author(s):  
Bojan Radojević ◽  
Lazar Lazić ◽  
Marija Cimbaljević
Keyword(s):  
Smart Cities ◽  
Tourism Industry ◽  
Geospatial Data ◽  
Health Issues ◽  
Related Data ◽  
Service Oriented ◽  
Global Tourism ◽  
Evolutionary Step ◽  
Geospatial Services ◽  
Smart Tourism

The COVID-19 pandemic has imposed numerous, lasting adverse effects on the global tourism industry. At the same time, it exposed the competitive advantages that existing smart tourism infrastructure could provide for addressing urgent health issues and providing meaningful smart services. This paper initially provides examples of smart geospatial services based on COVID-19 pandemic-related data, such as algorithms for measuring social distancing through CCTV and proximity contract tracing protocols and applications. Indeed, smart destinations, as an evolutionary step of smart cities, very quickly became a practical and research framework in various other disciplines, from leisure and service-oriented to technical and geospatial domains. However, various technologies employed and interests of different stockholders create a constant need for rescaling of smart data to facilitate their usability in providing optimized smart tourism services. One of the pressing concerns is the functional alignment of geospatial data with tourism-related data. Thus, we aim to pinpoint the growing importance of smart geospatial services, by pointing to the main downturn of the current smart destination issue with geospatial data resolutions, and, by building upon the relations of the geospatial layer of data with the tourism-specific layer. To this end, we pinpoint two further research directions - reinvestigating spatial and temporal resolution as a core of data smartness and the need for contextual (tourism-oriented) scaling of smart technology. This could be of keen interest in post-pandemic tourism, where smart geospatial services will be of pressing concern, but also it still an issue to be resolved in further smart destination development.

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