The impact of human activities on CO2 intake by carbonate weathering a case study of Conglin karst ridge-trough at Fuling Town, Chongqing, China

2011 ◽  
Author(s):  
Liu Changli ◽  
Song Chao ◽  
Hou Hongbing ◽  
Wang Xiuyan ◽  
Zhang Yun ◽  
...  
Keyword(s):  
Human Activities ◽  
Carbonate Weathering ◽  
The Impact

scholarly journals Development of transport infrastructure as precondition of economy and tourism development: Case study municipality of Negotin

2013 ◽  
Vol 93 (3) ◽  
pp. 145-157
Author(s):  
Nikola Ristic ◽  
Bogdan Lukic ◽  
Dejan Filipovic ◽  
Velimir Secerov
Keyword(s):  
Functional Connectivity ◽  
Human Activities ◽  
Tourism Development ◽  
Transport Network ◽  
Transport Infrastructure ◽  
Mutual Interaction ◽  
The Impact

Developed transport network is a precondition for economic and tourism development of areas and largely follows and allows the development of human activities. If it is developing without plan, spontaneous and without coordination it may be a limit to the overall development. The aim of research was to define developmental basis for the revitalization, improvement and construction of transport infrastructure in the municipality of Negotin. The paper will present the mutual interaction and functional connectivity of planning solutions for development of transport infrastructure and development of economic and tourism, as well as the impact which planning solutions have on the evolvent of other spatial and city functions.

scholarly journals Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification

2020 ◽  
Vol 12 (11) ◽  
pp. 194
Author(s):  
Ivan Miguel Pires ◽  
Faisal Hussain ◽  
Nuno M. M. Garcia ◽  
Petre Lameski ◽  
Eftim Zdravevski
Keyword(s):  
Mobile Devices ◽  
Human Activity ◽  
Human Activities ◽  
Data Normalization ◽  
Accelerometer Data ◽  
Classification Problems ◽  
Intelligent Methods ◽  
The Impact ◽  
Homogeneous Data

One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices in the market acquire the data from sensors at different frequencies. This paper focuses on implementing four data normalization techniques, i.e., MaxAbsScaler, MinMaxScaler, RobustScaler, and Z-Score. Subsequently, we evaluate the impact of the normalization algorithms with deep neural networks (DNN) for the classification of the human activities. The impact of the data normalization was counterintuitive, resulting in a degradation of performance. Namely, when using the accelerometer data, the accuracy dropped from about 79% to only 53% for the best normalization approach. Similarly, for the gyroscope data, the accuracy without normalization was about 81.5%, whereas with the best normalization, it was only 60%. It can be concluded that data normalization techniques are not helpful in classification problems with homogeneous data.

Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China

2019 ◽  
Vol 579 ◽  
pp. 124147 ◽  
Author(s):  
Yang Xu ◽  
Xuan Zhang ◽  
Xiao Wang ◽  
Zengchao Hao ◽  
Vijay P. Singh ◽  
...  
Keyword(s):  
Human Activities ◽  
Meteorological Drought ◽  
Northern China ◽  
Hydrological Drought ◽  
The Impact

scholarly journals Case Study of the Impact of the Co2 Emissions Trend from Transport on the External Costs in Slovakia and Slovenia

2018 ◽  
Vol 14 (2) ◽  
pp. 23-27 ◽  
Author(s):  
Milan Škorupa ◽  
Tomáš Čechovič ◽  
Martin Kendra ◽  
Borut Jereb
Keyword(s):  
Global Warming ◽  
Greenhouse Gases ◽  
Greenhouse Gas ◽  
Co2 Emissions ◽  
Human Activities ◽  
Traffic Congestion ◽  
External Costs ◽  
Average Price ◽  
The Impact

Abstract Transport is one of the human activities that increases the amount of greenhouse gases in the air. CO2 is the main cause of global warming and contribute for around 80 % of all greenhouse gas emissions. The paper presents CO2 production based on the amount of sold fuel in Slovakia and Slovenia. Based on the obtained data, the calculations about the production of CO2 according to the type of fuel was made. The conducted research has focused on the issue of traffic congestion and to reduce CO2 emissions by 15 % in total by 2030, as Slovakia and Slovenia concluded an agreement with other EU members in 2009. External costs calculation was made with average price of 1 tonne emission credit in 2016 and with presumed average price in 2019. The case study takes into account the consumption of the gasoline and diesel in transport throughout all Slovakia and in Slovenia.

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