scholarly journals Environmentally Driven Aggregate Façade Systems

2021 ◽  
pp. 158-167
Author(s):  
Pablo Cabrera Jauregui
Keyword(s):  
Computer Simulation ◽  
Environmental Factors ◽  
Architectural Design ◽  
Environmental Data ◽  
Data Complexity ◽  
Computational Tools ◽  
Left Behind ◽  
Robotic Fabrication ◽  
Fast Development ◽  
Manufacturing Technologies

AbstractEven though computer simulation of environmental factors and manufacturing technologies have experienced a fast development, architectural workflows that can take advantage of the possibilities created by these developments have been left behind and architectural design processes have not evolved at the same rate. This paper presents a design to fabrication workflow that explores data driven design to improve performance of facades, implementing for this purpose computational tools to handle environmental data complexity and proposes robotic fabrication technologies to facilitate façade components fabrication.

scholarly journals The impact of environmental variables on the spread of COVID-19 in the Republic of Korea

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Kwan Lim ◽  
Oh Joo Kweon ◽  
Hye Ryoun Kim ◽  
Tae-Hyoung Kim ◽  
Mi-Kyung Lee
Keyword(s):  
Environmental Factors ◽  
Virus Disease ◽  
Environmental Parameters ◽  
Environmental Data ◽  
Republic Of Korea ◽  
Metropolitan Region ◽  
Health Concern ◽  
Ozone Level ◽  
The Republic ◽  
The Impact

AbstractCorona virus disease 2019 (COVID-19) has been declared a global pandemic and is a major public health concern worldwide. In this study, we aimed to determine the role of environmental factors, such as climate and air pollutants, in the transmission of COVID-19 in the Republic of Korea. We collected epidemiological and environmental data from two regions of the Republic of Korea, namely Seoul metropolitan region (SMR) and Daegu-Gyeongbuk region (DGR) from February 2020 to July 2020. The data was then analyzed to identify correlations between each environmental factor with confirmed daily COVID-19 cases. Among the various environmental parameters, the duration of sunshine and ozone level were found to positively correlate with COVID-19 cases in both regions. However, the association of temperature variables with COVID-19 transmission revealed contradictory results when comparing the data from SMR and DGR. Moreover, statistical bias may have arisen due to an extensive epidemiological investigation and altered socio-behaviors that occurred in response to a COVID-19 outbreak. Nevertheless, our results suggest that various environmental factors may play a role in COVID-19 transmission.

scholarly journals Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3456
Author(s):  
Robin Kraft ◽  
Ferdinand Birk ◽  
Manfred Reichert ◽  
Aniruddha Deshpande ◽  
Winfried Schlee ◽  
...  
Keyword(s):  
Architectural Design ◽  
Environmental Data ◽  
Common Interest ◽  
Sensor Data ◽  
Smart Sensors ◽  
Use Case ◽  
Sound Levels ◽  
Efficient Processing ◽  
Interactive Map ◽  
Technical Solutions

Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data, which leads to many new opportunities. In particular, mobile crowdsensing techniques can be used to capture phenomena of common interest. Especially valuable insights can be gained if the collected data are additionally related to the time and place of the measurements. However, many technical solutions still use monolithic backends that are not capable of processing crowdsensing data in a flexible, efficient, and scalable manner. In this work, an architectural design was conceived with the goal to manage geospatial data in challenging crowdsensing healthcare scenarios. It will be shown how the proposed approach can be used to provide users with an interactive map of environmental noise, allowing tinnitus patients and other health-conscious people to avoid locations with harmful sound levels. Technically, the shown approach combines cloud-native applications with Big Data and stream processing concepts. In general, the presented architectural design shall serve as a foundation to implement practical and scalable crowdsensing platforms for various healthcare scenarios beyond the addressed use case.

Energy Design by Evolution: Applying Evolutionary Computing to Energy Efficient Architectural Design

2014 ◽  
Vol 899 ◽  
pp. 120-125
Author(s):  
Bernhard Sommer ◽  
Ulrich Pont
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Architectural Design ◽  
Evolutionary Computing ◽  
Environmental Data ◽  
Design Strategies ◽  
Energy Efficient Buildings ◽  
Optimum Solution

In this paper, the authors want to show a method that allows customizing energy efficient buildings to the very task and to the very site by linking environmental data and design strategies through algorithmic processes. An optimum solution for the energy efficiency of a building can then be found by running an evolutionary solver.

Wearable sensing devices for upper limbs: A systematic review

2020 ◽  
Vol 235 (1) ◽  
pp. 117-130
Author(s):  
Mingjie Dong ◽  
Bin Fang ◽  
Jianfeng Li ◽  
Fuchun Sun ◽  
Huaping Liu
Keyword(s):  
Upper Limb ◽  
State Of The Art ◽  
Electronic Devices ◽  
The Body ◽  
Future Research ◽  
Upper Limbs ◽  
Advantages And Disadvantages ◽  
Wearable Sensing ◽  
Fast Development ◽  
Manufacturing Technologies

Wearable sensing devices, which are smart electronic devices that can be worn on the body as implants or accessories, have attracted much research interest in recent years. They are rapidly advancing in terms of technology, functionality, size, and real-time applications along with the fast development of manufacturing technologies and sensor technologies. By covering some of the most important technologies and algorithms of wearable devices, this paper is intended to provide an overview of upper-limb wearable device research and to explore future research trends. The review of the state-of-the-art of upper-limb wearable technologies involving wearable design, sensor technologies, wearable computing algorithms and wearable applications is presented along with a summary of their advantages and disadvantages. Toward the end of this paper, we highlight areas of future research potential. It is our goal that this review will guide future researchers to develop better wearable sensing devices for upper limbs.

scholarly journals Application of smart mosquito monitoring traps for the mosquito forecast systems by Seoul Metropolitan city

2020 ◽  
Vol 44 (1) ◽  
Author(s):  
Sumi Na ◽  
Hoonbok Yi
Keyword(s):  
Environmental Factors ◽  
Population Data ◽  
Environmental Data ◽  
Mosquito Population ◽  
Prediction Formula ◽  
Forecast System ◽  
Weather System ◽  
Factors Affecting ◽  
Metropolitan City ◽  
Mean Temperature

Abstract Background The purpose of this study, mosquito forecast system implemented by Seoul Metropolitan city, was to obtain the mosquito prediction formula by using the mosquito population data and the environmental data of the past. Results For this study, the mosquito population data from April 1, 2015, to October 31, 2017, were collected. The mosquito population data were collected from the 50 smart mosquito traps (DMSs), two of which were installed in each district (Korean, gu) in Seoul Metropolitan city since 2015. Environmental factors were collected from the Automatic Weather System (AWS) by the Korea Meteorological Administration. The data of the nearest AWS devices from each DMS were used for the prediction formula analysis. We found out that the environmental factors affecting the mosquito population in Seoul Metropolitan city were the mean temperature and rainfall. We predicted the following equations by the generalized linear model analysis: ln(Mosquito population) = 2.519 + 0.08 × mean temperature + 0.001 × rainfall. Conclusions We expect that the mosquito forecast system would be used for predicting the mosquito population and to prevent the spread of disease through mosquitoes.

scholarly journals The economic value of environmental data: a notional insurance scheme for the European anchovy

2016 ◽  
Vol 73 (4) ◽  
pp. 1033-1041 ◽  
Author(s):  
Margarita María Rincón ◽  
John D. Mumford ◽  
Polina Levontin ◽  
Adrian W. Leach ◽  
Javier Ruiz
Keyword(s):  
Environmental Factors ◽  
Fishery Management ◽  
Stock Assessment ◽  
Life Stage ◽  
Environmental Data ◽  
Gulf Of Cadiz ◽  
Insurance Scheme ◽  
Management Regime ◽  
Insurance Cover ◽  
Gulf Of Cádiz

Abstract Anchovy population dynamics in the Gulf of Cádiz are governed by environmental processes. Sea surface temperature, intense easterly winds, and discharges from the Guadalquivir River have been identified as key factors determining early life stage mortality in this anchovy stock. We have constructed an environment-based recruitment model that simulates the abundance of juveniles under alternative parameters representing plausible biological hypotheses. We are able to evaluate how modelling environment-based recruitment can affect stock assessment and how responding to environmental information can benefit fishery management to allow greater average catch levels through the application of harvest control rules (HCRs) based on environmental conditions. While the environment-based rules generally increase allowable catch levels the variance in catch levels also increases, detracting from the improved value based only on average yield. In addition to changes in revenue, the probability of stock collapse is also reduced by using environmental factors in HCRs. To assess the value of these management systems we simulate a notional insurance scheme, which applies a value to both average yields and uncertainty. The value of the information-driven rules can be determined by comparing the relevant premiums payable for equal levels of insurance cover on revenue within each specific management regime. We demonstrate the net value of incorporating environmental factors in the management of anchovies in the Gulf of Cádiz despite the increased variability in revenue. This could be an effective method to describe outcomes for both commercial fisheries and ecosystem management policies, and as a guide to management of other species whose dynamics are predictable based on in-season observations.

A Research into the Configurations of Residential Buildings on Outdoor Wind Environment Simulation — A Case Study in Taiwan of Fujhou Affordable Housing

2014 ◽  
Vol 933 ◽  
pp. 329-334
Author(s):  
Ying Ming Su ◽  
Hsin Yao Huang
Keyword(s):  
Computer Simulation ◽  
Affordable Housing ◽  
Architectural Design ◽  
Residential Buildings ◽  
Optimized Design ◽  
Master Planning ◽  
Wind Environment ◽  
Environment Simulation ◽  
Density Development

Architectural typology and configurations on the urban wind environment are closely related, this research took the large-scaled high-density development in Taiwan of Fujhou Affordable Housing as a case study, the use of computer simulation Ecotect Analysis, for collection of air distribution to explore central courtyard buildings wind environment flow in the urban environment for congregate housing. This study according to simulation results tried to adjust the configuration program for a further amendment to meet pedestrians comfort. Results proved that the use of computer simulation for design review, could effectively achieve the most optimized design while also to reduce energy conservation and improve comfort, which will further as references for future architectural design and master planning.

scholarly journals Population Transcriptomes Reveal the Interspecific Adaptive Genetic Differentiation of Liriodendron by Landscape Genetics

2020 ◽  
Author(s):  
Yufang Shen ◽  
Hui Xia ◽  
Zhonghua Tu ◽  
Yaxian Zong ◽  
Lichun Yang ◽  
...  
Keyword(s):  
Population Structure ◽  
Environmental Factors ◽  
Genetic Differentiation ◽  
Ecological Niche ◽  
Genetic Variations ◽  
Biological Pathways ◽  
Environmental Data ◽  
Genomic Resources ◽  
Population Structure Analysis ◽  
Precipitation Seasonality

Abstract Background: Adaptive genetic differentiation is a hotspot in the research of speciation mechanisms in evolutionary biology. Genomic resources are important for detecting ecological adaptive evolution of non-model plants. Using RNA-seq for non-model plants is a good approach to obtain their genomic resources. The combination of population transcriptome resources and environmental data can provide insights into the genetic mechanism of adaptive genetic differentiation.Results: Based on the population transcriptome data, we investigated the spatial distribution of genetic variations in Liriodendron to detect relationships between ecological factors and genetic differentiation. Environmental data and genetic variations from 17 populations were integrated to detect the population structure, adaptive genes and key environmental factors that shape the population genetic structure by landscape genetic approach. Here, we identified 16592 high-quality single nucleotide polymorphisms (SNPs). The population structure analysis results showed that 17 populations were divided into three groups: L. tulipifera, eastern group and western group of L. chinense. Redundancy analysis and latent factor mixed model analysis suggested that precipitation seasonality, precipitation in the driest quarter, diurnal temperature, and solar radiation in May were closely associated with the adaptive genetic differentiation of Liriodendron. Ecological niche differentiation analysis implied significant ecological niche divergence between L. chinense and L. tulipifera habitats. In total, 858 environment-related loci were identified, which were associated with 464 genes. Pathway enrichment analysis revealed that these genes were significantly enriched in multiple biological pathways. Related studies confirmed that these biological pathways play vital roles in plant growth, development, stress, immune response and photosynthesis.Conclusions: Our research provided empirical evidence that environmental factors may play a key role in driving adaptive genetic differentiation of species. Furthermore, the combination of population transcriptome resources and environmental datasets provides new insights into the study of adaptive genetic differentiation of species.

scholarly journals Leptospirosis, Climate and Satellite-based Environmental Factors: A Temporal Modeling

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Pandji W. Dhewantara ◽  
Wenbiao Hu ◽  
Wenyi Zhang ◽  
Wenwu Yin ◽  
Fan Ding ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Factors ◽  
Land Surface Temperature ◽  
Early Warning ◽  
Physical Environment ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Remotely Sensed ◽  
Environmental Data

ObjectiveTo quantify the effects of climate variability, selected remotely-sensed environmental factors on human leptospirosis in the high-risk counties in China.IntroductionLeptospirosis is a zoonotic disease caused by the pathogenic Leptospira bacteria and is ubiquitously distributed in tropical and subtropical regions. Leptospirosis transmission driven by complex factors include climatic, environmental and local social conditions 1. Each year, there are about 1 million cases of human leptospirosis reported globally and it causes approximately 60,000 people lost their lives due to infection 2. Yunnan Province and Sichuan Province are two of highly endemic areas in the southwest China that had contributed for 47% of the total national reported cases during 2005-2015 3. Factors underlying local leptospirosis transmission in these two areas is far from clear and thus hinder the efficacy of control strategies. Hence, it is essential to assess and identify local key drivers associated with persistent leptospirosis transmission in that areas to lay foundation for the development of early-warning systems. Currently, remote sensing technology provides broad range of physical environment data at various spatial and temporal scales 4, which can be used to understand the leptospirosis epidemiology. Utilizing satellite-based environmental data combined with locally-acquired weather data may potentially enhance existing surveillance programs in China so that the burden of leptospirosis could be reduced.MethodsThis study was carried out in two counties situated in different climatic zone in the southwestern China, Mengla and Yilong County (Fig 1). Total of 543 confirmed leptospirosis cases reported during 2006-2016 from both counties were used in this analysis. Time series decomposition was used to explore the long-term seasonality of leptospirosis incidence in two counties during the period studied. Monthly remotely-sensed environmental data such as normalized difference vegetation index (NDVI), modified normalized water difference index (MNDWI) and land surface temperature (LST) were collected from satellite databases. Climate data include monthly precipitation and relative humidity (RH) data were obtained from local weather stations. Lagged effects of rainfall, humidity, normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI) and land surface temperature (LST) on leptospirosis was examined. Generalized linear model with negative binomial link was used to assess the relationships of climatic and physical environment factors with leptospirosis. Best-fitted model was determined based on the lowest information criterion and deviance.ResultsLeptospirosis incidence in both counties showed strong and unique annual seasonality. Bi-modal temporal pattern was exhibited in Mengla County while single epidemic curve was persistently demonstrated in Yilong County (Fig 2). Total of 10 and 20 models were generated for Mengla and Yilong County, respectively. After adjusting for seasonality, final best-fitted models indicated that rainfall at lag of 6-month (incidence rate ratio (IRR)= 0.989; 95% confidence interval (CI) 0.985-0.993, p<0.001) and current LST (IRR=0.857, 95%CI:0.729-0.929, p<0.001) significantly associated with leptospirosis in Mengla County (Table 1). While in Yilong, rainfall at 1-month lag, MNDWI (5-months lag) and LST (3-months lag) were associated with an increased incidence of leptospirosis with a risk ratio of 1.013 (95%CI: 1.003-1.023), 7.960 (95%CI: 1.241-47.66) and 1.193 (95%CI:1.095-1.301), respectively.ConclusionsOur study identified lagged effect and relationships of weather and remotely-sensed environmental factors with leptospirosis in two endemic counties in China. Rainfall in combination with satellite derived physical environment factors such as flood/water indicator (MNDWI) and temperature (LST) could help explain the local epidemiology as well as good predictors for leptospirosis outbreak in both counties. This would also be an avenue for the development of leptospirosis early warning system in to support leptospirosis control in China.References1. Haake, D. A. , Levett, P. N. Leptospirosis in humans. Current Topics in Microbiology and Immunology 2015, 387, 65-97.2. Costa, F. et al. Global Morbidity and Mortality of Leptospirosis: A Systematic Review. PLOS Neglected Tropical Diseases 2015, 9, e0003898.3. Dhewantara, P. W. et al. Epidemiological shift and geographical heterogeneity in the burden of leptospirosis in China. Infectious Diseases of Poverty 2018, 7, 57.4. Herbreteau, V., Salem, G., Souris, M., Hugot, J. P. & Gonzalez, J. P. Thirty years of use and improvement of remote sensing, applied to epidemiology: from early promises to lasting frustration. Health & Place 2007, 13, 400-403. 

scholarly journals To What Extent is the Lack of Education Awareness among Kensiu Indigenous Children in Baling, Kedah? A Preliminary Study

2021 ◽  
Vol 6 (1) ◽  
pp. 226-233
Author(s):  
Muhammad Wafi Ramli ◽  
Sharifah Rohayah Sheikh Dawood
Keyword(s):  
Environmental Factors ◽  
Holistic Education ◽  
Mean Value ◽  
Education Development ◽  
Mean Values ◽  
Level Of Education ◽  
Left Behind ◽  
Indigenous Children ◽  
Preliminary Study ◽  
Descriptive Statistical Analysis

The indigenous people, particularly the children, are perpetually challenged with education issues that have been going on for too long. Indigenous children have the capacity to bring changes and progress in their communities. To achieve that, they should be nurtured early on the awareness and importance of education. This paper aims to identify the level of education awareness among indigenous children through behavioural, personal, and environmental factors. A total of 30 respondents consisting of Kensiu indigenous children aged 7 to 12 have participated in the survey conducted in Kampung Lubuk Legong located in Baling district. Descriptive statistical analysis is applied to obtain frequency, percentage, and mean values. Overall, the finding indicates that the level of education awareness among the respondents is moderate, where the behavioural, personal, and environmental factors recorded a mean value of (μ=2.41), (μ=2.96), and (μ=2.24) respectively. This study aspires to urge holistic education development strategies in order to raise the level of education awareness among indigenous children so that they will not be left behind.

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