scholarly journals Industrial space in Bydgoszcz

2021 ◽  
Vol 1203 (3) ◽  
pp. 032028
Author(s):  
Piotr Brzeziński
Keyword(s):  
Urban Space ◽  
Rapid Development ◽  
Industrial Area ◽  
Design Stage ◽  
Planning Stage ◽  
Industrial Areas ◽  
Positive Effects ◽  
Industrial Space ◽  
Macro Scale ◽  
The Impact

Abstract Because of its specific, industrial space, a challenge from the planning stage to the design stage is constituted. Proper zoning of this space has positive effects on the industrial function, spatial exposure and environmental impact. Proper creation of industrial areas means the impact of these processes on a macro scale. Local government authorities have the most important influence on the formation of industrial areas, which are necessary for the functioning and economic development of a region. The right regional development policy is what places the industrial space in symbiosis with areas of a different purpose. The most important is the selection of an appropriate space - an enclave, where this specific function can exist and be developed without affecting the surroundings, which may be the adjacent urban space. Due to its specifics, locating of industrial areas has a fundamental role in these multifaceted processes. Bydgoszcz Industrial and Technological Park (BPPT) is the biggest industrial area in the district and one of the biggest industrial and technological parks in Poland. As city authorities say “According to the independent report of the World Bank “Doing Business in Poland 2015”, Bydgoszcz is the best city for investment. The potential of the Park and his rapid development are found disregarding not only amongst investors, but also amongst other operators receiving the BPPT infrastructure.” Referred to the above, there are several important questions. How do these assumptions relate to the industrial zone if an urban area is in the close neighbourhood? How should the development of industrial spaces look like, so that it does not adversely affect urban living space? How do the above assumptions refer to the Bydgoszcz Industrial and Technological Park (BPPT)? The matrix presented in the article compares the general assumptions of the interactions of industrial processes and their application for the Bydgoszcz Industrial and Technological Park.

Investigation of Energy Risk in Pre-Construction Stage: A Qualitative Approach

2021 ◽  
Vol 15 (S1) ◽  
pp. 39-45
Author(s):  
Mohammad Syabilee Nikman Lee ◽  
Sulzakimin Mohamed ◽  
Roshartini Omar ◽  
Norliana Sarpin ◽  
Haryati Shafii ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Structured Interview ◽  
Design Stage ◽  
Building Performance ◽  
Design Strategies ◽  
Construction Stage ◽  
Planning Stage ◽  
Potential Impact ◽  
The Impact

The energy demand growth every year for existing building due to the natural lifecycle of the building performance. Systematic strategy in retrofitting is proven to revamp the energy building performance. However, the retrofitting process is facing several of unknown risk as early in pre-construction stage to achieve optimum energy efficiency design strategy. The risk requires strategic assessment to minimize the impact towards the efficiency level in retrofitting. This study aims to examine the risks and the potential impact towards design strategies by conducting a semi-structured interview from six internal stakeholders in the retrofit project. The result derived from the interview revealed that there are 13 of major risks involve in retrofit project and divided into planning stage and design stage. All the risks are proven to provide a potential impact towards energy efficiency design strategies.

scholarly journals KAJIAN PENANGGULANGAN LIMPASAN PERMUKAAN DENGAN MENGGUNAKAN SUMUR RESAPAN (STUDI KASUS DI DI DAERAH PERUMNAS MADE KABUPATEN LAMONGAN)

2013 ◽  
Vol 9 (2) ◽  
Author(s):  
Chairil Saleh
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Rapid Development ◽  
Industrial Area ◽  
Water Infiltration ◽  
Urban Region ◽  
Open Land ◽  
Rain Fall ◽  
The Impact

Desa Donowarih memiliki manajemen penanganan sampah yang buruk, maka perencanaanTPPopulation growth and rapid development led to changes in land use functions. Lots of landwhich was originally in the form of open land or forest to residential and industrial area. It is notonly urban region, but has been extended in the cultivation and protected areas, which serve awater. The impact of land use change surface runoff is rising at the same time decresing infiltrationof water into the ground. As a result the area occurs the reduced flood and infiltration into theground as ground water augmentation. The same thing happened in the Perumnas Made frequentduring the rainy season puddles. To prevent this and also to maintain the required reserves ofground water wells.This study aims to reduce runoff and prevent surface runoff and can increase the potential forground water. Besides, in order to take advantage of rainwater into the ground through wells. Sothat treatment can conserve and save water resources for long-term soil.Building design of water infiltration in this study is the recharge wells. Wells can accommodatesurface runoff and rain fall on every house gutters. Recharge wells in this study is planned in eachhome. Analysis results obtained from the total volume of rainfall with a 2-year return period is =2627.468 m3 while total volume of well is 3022.5 m3. As in every home is planned the wells withcircle radius from 0.45 to 0.75 meters with a variation to the depths of the wells ranged from 1.6 m- 2.9 m. So the wells is very effective to hold the entire discharge with a 2-year return period.Key words: Pond, Recharge Wells

scholarly journals Predicting the Air Quality Index of Industrial Areas in an Industrialized City in India Using Adopting Markov Chain Model

2020 ◽  
Author(s):  
Raja Prasad S.V.S ◽  
Vishnu Namboodiri V
Keyword(s):  
Markov Chain ◽  
Air Quality ◽  
Quality Index ◽  
Markov Chain Model ◽  
Industrial Area ◽  
The State ◽  
Air Quality Index ◽  
Chain Model ◽  
Industrial Areas ◽  
The Impact

Introduction: The rapid urbanization coupled with industrial development in Indian cities has led to air pollution that causes adverse effects on the health of human beings. So, it is crucial to track the quality of air in industrial areas of a city to insulate the public from harmful air pollutants.  The present study examined and predicted air quality index levels in industrial areas located in Hyderabad, India. Materials and Methods: Markov chain model was developed to predict the air quality index levels in three industrial areas of Hyderabad city. The secondary data pertaining to the air quality index was analyzed from January, 2016 to December 2019 by developing Markov chain model. The state transition probabilities were used to find the predicted probability for the next 4 years. The study also analyzed the mean return time for specific states. Results: According to the findings, the highest frequency observed for transition in a month to the next month was 31 for the second industrial area in moderate state. The longest time required to repeat the state was 23.585 months and 23.259 months for the industrial area 3. Conclusions: Air quality index varies in industrial areas depending on the nature of industries and type of emissions. The prediction of air quality index is useful for the local authorities to implement measures to minimize the impact of pollutants on human health.

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

Impact of Digitalization on Service Work in Knowledge-Intensive Business Services: An Empirical Study in Tax Consultancies

2019 ◽  
Vol 3 (4) ◽  
pp. 209-222
Author(s):  
Philipp K. Görs ◽  
Henning Hummert ◽  
Anne Traum ◽  
Friedemann W. Nerdinger
Keyword(s):  
Work Engagement ◽  
Service Work ◽  
Psychological Consequences ◽  
Business Services ◽  
Knowledge Intensive Business Services ◽  
Positive Effects ◽  
Knowledge Intensive ◽  
The Impact ◽  
Positive Effect ◽  
Special Case

Digitalization is a megatrend, but there is relatively little knowledge about its consequences for service work in general and specifically in knowledge-intensive business services (KIBS). We studied the impact of digitalization on psychological consequences for employees in tax consultancies as a special case of KIBS. We compare two tax consulting jobs with very different job demands, those of tax consultants (TCs) and assistant tax consultants (ATCs). The results show that the extent of digitalization at the workplace level for ATCs correlates significantly positively with their job satisfaction. For TCs, the same variable correlates positively with their work engagement. These positive effects of digitalization are mediated in the case of ATCs by the impact on important job characteristics. In the case of TCs, which already have very good working conditions, the impact is mediated by the positive effect on self-efficacy. Theoretical and practical consequences of these results are discussed.

HOW CLIMATE CHANGE CAN INFLUENCE THE AGRICULTURE IN UKRAINE: A REVIEW

2020 ◽  
Author(s):  
N. Maidanovych ◽  
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Soil Surface ◽  
Winter Period ◽  
Negative Consequences ◽  
Resource Saving ◽  
Impact Of Climate Change ◽  
Positive Effects ◽  
Average Annual Temperature ◽  
The Impact

The purpose of this work is to review and analyze the main results of modern research on the impact of climate change on the agro-sphere of Ukraine. Results. Analysis of research has shown that the effects of climate change on the agro-sphere are already being felt today and will continue in the future. The observed climate changes in recent decades have already significantly affected the shift in the northern direction of all agro-climatic zones of Europe, including Ukraine. From the point of view of productivity of the agro-sphere of Ukraine, climate change will have both positive and negative consequences. The positives include: improving the conditions of formation and reducing the harvesting time of crop yields; the possibility of effective introduction of late varieties (hybrids), which require more thermal resources; improving the conditions for overwintering crops; increase the efficiency of fertilizer application. Model estimates of the impact of climate change on wheat yields in Ukraine mainly indicate the positive effects of global warming on yields in the medium term, but with an increase in the average annual temperature by 2 ° C above normal, grain yields are expected to decrease. The negative consequences of the impact of climate change on the agrosphere include: increased drought during the growing season; acceleration of humus decomposition in soils; deterioration of soil moisture in the southern regions; deterioration of grain quality and failure to ensure full vernalization of grain; increase in the number of pests, the spread of pathogens of plants and weeds due to favorable conditions for their overwintering; increase in wind and water erosion of the soil caused by an increase in droughts and extreme rainfall; increasing risks of freezing of winter crops due to lack of stable snow cover. Conclusions. Resource-saving agricultural technologies are of particular importance in the context of climate change. They include technologies such as no-till, strip-till, ridge-till, which make it possible to partially store and accumulate mulch on the soil surface, reduce the speed of the surface layer of air and contribute to better preservation of moisture accumulated during the autumn-winter period. And in determining the most effective ways and mechanisms to reduce weather risks for Ukrainian farmers, it is necessary to take into account the world practice of climate-smart technologies.

INFLUENCE OF GREENHOUSE SHADING AND DIFFERENT NUTRIENT MANAGEMENT PRACTICES ON ALLEVIATING HEAT STRESS, IMPROVING PLANT NUTRIENTS STATUS, FLOWERING GROWTH AND YIELD OF TOMATO

2020 ◽  
Vol 51 (4) ◽  
pp. 1001-1014
Author(s):  
Sulaiman & Sadiq
Keyword(s):  
Heat Stress ◽  
Management Practices ◽  
Nutrient Management ◽  
Block Design ◽  
Nutrient Status ◽  
Growth And Yield ◽  
Reproductive Growth ◽  
Positive Effects ◽  
Nutrition Programs ◽  
The Impact

The experiment was conducted in a greenhouse during 2017 and 2018 growing seasons to evaluate the impact of the shading and various nutrition programs on mitigating heat stress, reducing the use of chemical minerals, improving the reproductive growth and yield of tomato plant. Split-plot within Randomized Complete Block Design (RCBD) with three replications was conducted in this study. Shading factor was allocated in the main plots and the nutrition programs distributed randomly in the subplots. Results indicate that shading resulted in the decrease of daytime temperature by 5.7˚C as an average for both seasons; thus a significant increasing was found in leaf contents of macro nutrients (Nitrogen, Phosphorous, and Potassium), and micro nutrients (Iron, Zinc and Boron), except the Iron content in 2018 growing season. Furthermore, shading improved significantly the reproductive growth and tomato yield. Among the plant nutrition programs, the integrated nutrient management (INM) including the application of organic substances, bio inoculum of AMF and 50% of the recommended dose of chemical fertilizers; lead to the enhancement of nutrients content, reproductive characteristics and plant yield. Generally, combination of both shading and INM showed positive effects on plants nutrient status and persisting balance on tomato flowering growth and fruits yield.

The Impact of Ultraviolet Radiation on Barrier Function in Human Skin: Molecular Mechanisms and Topical Therapeutics

2019 ◽  
Vol 25 (40) ◽  
pp. 5503-5511 ◽  
Author(s):  
Abdulaziz Alhasaniah ◽  
Michael J. Sherratt ◽  
Catherine A. O'Neill
Keyword(s):  
Ultraviolet Radiation ◽  
Barrier Function ◽  
Molecular Mechanisms ◽  
Transepidermal Water Loss ◽  
Protective Effects ◽  
Barrier Dysfunction ◽  
Epidermal Barrier ◽  
Positive Effects ◽  
Terrestrial Mammals ◽  
The Impact

A competent epidermal barrier is crucial for terrestrial mammals. This barrier must keep in water and prevent entry of noxious stimuli. Most importantly, the epidermis must also be a barrier to ultraviolet radiation (UVR) from the sunlight. Currently, the effects of ultraviolet radiation on epidermal barrier function are poorly understood. However, studies in mice and more limited work in humans suggest that the epidermal barrier becomes more permeable, as measured by increased transepidermal water loss, in response UVR, at doses sufficiently high to induce erythema. The mechanisms may include disturbance in the organisation of lipids in the stratum corneum (the outermost layer of the epidermis) and reduction in tight junction function in the granular layer (the first living layer of the skin). By contrast, suberythemal doses of UVR appear to have positive effects on epidermal barrier function. Topical sunscreens have direct and indirect protective effects on the barrier through their ability to block UV and also due to their moisturising or occlusive effects, which trap water in the skin, respectively. Some topical agents such as specific botanical extracts have been shown to prevent the loss of water associated with high doses of UVR. In this review, we discuss the current literature and suggest that the biology of UVR-induced barrier dysfunction, and the use of topical products to protect the barrier, are areas worthy of further investigation.

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