Ecological Conception and Level Analysis in Planning and Design

2013 ◽  
Vol 307 ◽  
pp. 514-517
Author(s):  
Ke Zhen Sun
Keyword(s):  
System Theory ◽  
Urban Landscape ◽  
Ecological Engineering ◽  
General Level ◽  
Ecological Strategies ◽  
Planning And Design ◽  
Ecological Conservation ◽  
Landscape Design And Planning ◽  
High Level ◽  
Level Analysis

Ecological system theory in landscape architecture planning and design are discussed in this paper. The article studies the composition of urban, landscape and building ecosystem, integrated ecology and design, integrated uses in urban and landscape areas, the method of interdisciplinary working. System theory is involved in this paper to discuss relevant problems. In addition to these, the article gives account of ecological engineering in all-around, including ecological denotation and connotation analysis, the wider sense and the narrow sense, the general level and the high level about ecological engineering. This article argues the problem of ecological strategies in the landscape design and planning, and the main contents of ecological strategies. It includes the strategy of landscape sustainable development, which is in conflict with rapid economies and historic preservation, ecological conservation.

Ecological System Theory in Planning and Design: Ecological Conception and Level Analysis

2012 ◽  
Vol 253-255 ◽  
pp. 13-16
Author(s):  
Ke Zhen Sun
Keyword(s):  
System Theory ◽  
Urban Landscape ◽  
Ecological Engineering ◽  
Ecological System ◽  
General Level ◽  
Ecological Strategies ◽  
Planning And Design ◽  
Ecological Conservation ◽  
Landscape Design And Planning ◽  
High Level

Ecological System Theory in planning and design is discussed in this paper. The article studies the composition of urban, landscape and building ecosystem, integrated ecology and design, integrated uses in urban and landscape area, the method of interdisciplinary working. System theory is involved in this paper to discuss relevant questions. In addition to these, the article gives account of ecological engineering in all-around, including ecological denotation and connotation analysis, the wider sense and the narrow sense, the general level and the high level about ecological engineering. This article argues the problem of ecological strategies in the landscape design and planning, and the main contents of ecological strategies. It includes the strategy of landscape sustainable development, which is in conflict with rapid economies and historic preservation, ecological conservation.

Cybernetics in Planning and Design

2013 ◽  
Vol 683 ◽  
pp. 754-757
Author(s):  
Ke Zhen Sun
Keyword(s):  
Landscape Architecture ◽  
Building Construction ◽  
Information Collection ◽  
Information Feedback ◽  
Ecological Strategies ◽  
Planning And Design ◽  
Building Information ◽  
Ecological Conservation ◽  
Landscape Design And Planning ◽  
Controllable Factor

Cybernetics in landscape architecture planning and design are discussed in this paper. There are many differences and characteristic in the area of design products compared with other industrial products. The control stages or steps include: information collection in previous designs, information feedback in the planning and design, information feedback in a building construction or in a partly-finished building, information feedback in the use of a finished building. The article studies integrated ecology and design, integrated uses in urban and landscape areas, the method of interdisciplinary working. System theory is involved in this paper to discuss relevant problems. The paper also discusses the major controllable factor in the ecological strategies, and then examines effective planning and design. This article argues the problem of ecological strategies in the landscape design and planning, and the main contents of ecological strategies. It includes the strategy of landscape sustainable development, which is in conflict with rapid economies and historic preservation, ecological conservation.

Research on the Ecological Strategies in Landscape Design and Planning

2011 ◽  
Vol 71-78 ◽  
pp. 1805-1808
Author(s):  
Ke Zhen Sun
Keyword(s):  
System Theory ◽  
Sustainable Development ◽  
Historic Preservation ◽  
Landscape Design ◽  
Ecological Strategies ◽  
Ecological Conservation ◽  
Landscape Design And Planning ◽  
Controllable Factor

This article argues the problem of ecological strategies in the landscape design and planning, and the main contents of ecological strategies. It includes the strategy of landscape sustainable development, which is in conflict with rapid economies and historic preservation, ecological conservation. The paper also discusses why people are the major controllable factor in the ecological strategies. In addition to these, the article studies the composition of landscape ecosystem, integrated ecology and design, integrated uses in landscape area, the method of interdisciplinary working. System theory is involved in this paper to discuss relevant questions.

scholarly journals EthIR: A Framework for High-Level Analysis of Ethereum Bytecode

2018 ◽  
pp. 513-520 ◽  
Author(s):  
Elvira Albert ◽  
Pablo Gordillo ◽  
Benjamin Livshits ◽  
Albert Rubio ◽  
Ilya Sergey
Keyword(s):  
High Level ◽  
Level Analysis

scholarly journals Validation of open-source science tools and background model construction in γ-ray astronomy

2019 ◽  
Vol 632 ◽  
pp. A72
Author(s):  
L. Mohrmann ◽  
A. Specovius ◽  
D. Tiziani ◽  
S. Funk ◽  
D. Malyshev ◽  
...  
Keyword(s):  
Cosmic Ray ◽  
Field Of View ◽  
Background Model ◽  
Analysis Approach ◽  
Source Analysis ◽  
Classical Analysis ◽  
Background Estimation ◽  
Likelihood Analysis ◽  
High Level ◽  
Level Analysis

In classical analyses of γ-ray data from imaging atmospheric Cherenkov telescopes (IACTs), such as the High Energy Stereoscopic System (H.E.S.S.), aperture photometry, or photon counting, is applied in a (typically circular) region of interest (RoI) encompassing the source. A key element in the analysis is to estimate the amount of background in the RoI due to residual cosmic ray-induced air showers in the data. Various standard background estimation techniques have been developed in the last decades, most of them rely on a measurement of the background from source-free regions within the observed field of view. However, in particular in the Galactic plane, source analysis and background estimation are hampered by the large number of, sometimes overlapping, γ-ray sources and large-scale diffuse γ-ray emission. For complicated fields of view, a three-dimensional (3D) likelihood analysis shows the potential to be superior to classical analysis. In this analysis technique, a spectromorphological model, consisting of one or multiple source components and a background component, is fitted to the data, resulting in a complete spectral and spatial description of the field of view. For the application to IACT data, the major challenge of such an approach is the construction of a robust background model. In this work, we apply the 3D likelihood analysis to various test data recently made public by the H.E.S.S. collaboration, using the open analysis frameworks ctools and Gammapy. First, we show that, when using these tools in a classical analysis approach and comparing to the proprietary H.E.S.S. analysis framework, virtually identical high-level analysis results, such as field-of-view maps and spectra, are obtained. We then describe the construction of a generic background model from data of H.E.S.S. observations, and demonstrate that a 3D likelihood analysis using this background model yields high-level analysis results that are highly compatible with those obtained from the classical analyses. This validation of the 3D likelihood analysis approach on experimental data is an important step towards using this method for IACT data analysis, and in particular for the analysis of data from the upcoming Cherenkov Telescope Array (CTA).

scholarly journals Indicators of occupational traumatism and mortality in employees of Russian State Fire Service (1996–2015)

2018 ◽  
pp. 05-25 ◽  
Author(s):  
S. S. Aleksanin ◽  
E. V. Bobrinev ◽  
V. I. Evdokimov ◽  
A. A. Kondashov ◽  
V. I. Sibirko ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Occupational Injuries ◽  
Fire Service ◽  
Annual Number ◽  
General Level ◽  
Respiratory Protection ◽  
Russian State ◽  
International Statistical Classification ◽  
Health Disorders ◽  
High Level

Relevance.Profession of firefighters is considered to refer to extreme activities, which have high risks of health disorders, injuries and even death.Intention– to analyze occupational traumatism and deaths from injuries in Russian State Fire Service (SFS) (1996–2004) and the Federal Fire Service of EMERCOM of Russia (2005–2015) employees for 20 years and to compare these data with the indicators of Russian workers.Methods.Information on occupational traumas and deaths of employees and response personnel of Russian SFS was gathered. The annual number of examined firefighters of special military ranks (officer, warrant officer, sergeant, common soldier) was (108.8 ± 6.2) thousand people, which was not less than 80 % of personnel of Russian SFS. The levels of occupational injuries, deaths from occupational injuries of Russian workers, mortality in the XIX Chapter of the International Statistical Classification of Diseases and Health Problems, 10th edition (ICD-10) of men of working age in Russia were received from the official website of the Federal Agency for Statistics. Database «FDB «Fires» was used for the distribution of fires in Russia over time periods. The dynamics of indicators of health disorders of firefighters and of fire distribution was evaluated by the method of time series analysis, which used a polynomial trend of the 2nd order.Results and Discussion.The average annual level of occupational traumatism in 20 years (1996–2015) in Russian SFS staff amounted to (3.795 ± 0.390)‰, in response staff for 1999–2015 – (5.295 ± 0.644)‰. The level of occupational traumatism among Russian workers during these periods was (3.410 ± 0.351) and (3.000 ± 0.318)‰ respectively, which is significantly less than that of the response personnel (p < 0.05). A positive statistically significant relationship between the number of injuries and combat performances (r = 0.51; p < 0.05), the number of injuries and accident rate in the staff of Russian SFS with the complexity of fire-fighting tasks and number of use of personal respiratory protection (r = 0.53 and r = 0.46, respectively, p < 0.05). The cyclical nature of risks of traumatism in response staff of Russian SFS, depending on hours of the day, days of the week and months of the year, due to the nature of combat performance and other professional factors was found. This phenomenon requires additional research. The mortality rate of SFS staff from occupational injuries in 1996–2015 was (0.125 ± 0.011)‰, response personnel – (0.149 ± 0.014)‰. The mortality rate of Russian workers was statistically significantly less (0.116 ± 0.007)‰ compared to the response personnel (p < 0.05). There are decreases in occupational traumatism and deaths from occupational injuries in SFS staff and Russian workers.Conclusion.In general, level of occupational traumatism and mortality from occupational injuries in employees and response personnel of the Russian SFS can be comparable with level revealed among the Russian workers. It indicates, on the one hand, the effective organizational and technological measures for the prevention of occupational injuries and the death of firefighters, and, on the other hand, high level of occupational traumatism of the Russian workers.

scholarly journals Shaping of personality of Russian youngsters during the pre-perestroika and post-perestroika periods of development of society

2018 ◽  
Vol 51 ◽  
pp. 01005
Author(s):  
Vladimir Uryvaev ◽  
Larisa Subbotina ◽  
Anatoliy Karpov ◽  
Ivan Senin ◽  
Aleksandr Karpov
Keyword(s):  
Self Regulation ◽  
General Medicine ◽  
Personal Characteristics ◽  
Psychological Adaptation ◽  
General Level ◽  
Russian Society ◽  
Economic Changes ◽  
Voluntary Regulation ◽  
Self Actualization ◽  
High Level

Introduction – socio-political and socio-economic changes in society largely define a developing personality. Goal – to conduct a psycho-diagnostic evaluation of the changes in basic personal characteristics of young students in the context of Russian society development. Results: the comparison of two groups of medical student (both groups are identical: the second course, the department of general medicine, Yaroslavl State Medical University). Testing of 1992 (n = 243) and 2016 (n = 197) using the 16-PF Questionnaire and the POI reveals two main tendencies. The first tendency is the increase of the general level of tension (the 16-PF scales: C, I, O, Q4 – all the quantitative indices have increased, p < 0.01, Student's t-test). The second tendency is a significant growth of the efficiency of personal characteristics providing self-regulation and voluntary behaviour (the 16-PF scales: E, G, H, Q3 are analogous to the first tendency; the SAV scale of the POI also reports a growth with high statistical values). Discussion: the respondents from the first group were born in 1972–1973. Prenatal maturation, babyhood, junior school, and early adolescent age took place in the epoch of a high degree of stability and succession in the development of society. The respondents from the second group were born in 1998–1999. The samples are separated by a generation. The second group (2016 testing) reports a high level of neuro-psychic tension during socio-psychological adaptation and, consequently, the growth of efforts in developing voluntary regulation of social behavior. Evidently, there is value of self-actualization in the new reality.

scholarly journals Automated Classification of the Tympanic Membrane Using a Convolutional Neural Network

2019 ◽  
Vol 9 (9) ◽  
pp. 1827 ◽  
Author(s):  
Je Yeon Lee ◽  
Seung-Ho Choi ◽  
Jong Woo Chung
Keyword(s):  
Tympanic Membrane ◽  
Automated Classification ◽  
Model Accuracy ◽  
Test Dataset ◽  
Real Time Analysis ◽  
Medical Image Recognition ◽  
Test Sets ◽  
High Level ◽  
Level Analysis

Precise evaluation of the tympanic membrane (TM) is required for accurate diagnosis of middle ear diseases. However, making an accurate assessment is sometimes difficult. Artificial intelligence is often employed for image processing, especially for performing high level analysis such as image classification, segmentation and matching. In particular, convolutional neural networks (CNNs) are increasingly used in medical image recognition. This study demonstrates the usefulness and reliability of CNNs in recognizing the side and perforation of TMs in medical images. CNN was constructed with typically six layers. After random assignment of the available images to the training, validation and test sets, training was performed. The accuracy of the CNN model was consequently evaluated using a new dataset. A class activation map (CAM) was used to evaluate feature extraction. The CNN model accuracy of detecting the TM side in the test dataset was 97.9%, whereas that of detecting the presence of perforation was 91.0%. The side of the TM and the presence of a perforation affect the activation sites. The results show that CNNs can be a useful tool for classifying TM lesions and identifying TM sides. Further research is required to consider real-time analysis and to improve classification accuracy.

Arithmetic Research on Data Mining Technology and Associative Rules Mining

2014 ◽  
Vol 556-562 ◽  
pp. 3949-3951
Author(s):  
Jian Xin Zhu
Keyword(s):  
Data Mining ◽  
High Performance ◽  
Knowledge Engineering ◽  
Business Decisions ◽  
Depth Data ◽  
Source Data ◽  
Wide Availability ◽  
High Level ◽  
Performance Computing ◽  
Level Analysis

Data mining is a technique that aims to analyze and understand large source data reveal knowledge hidden in the data. It has been viewed as an important evolution in information processing. Why there have been more attentions to it from researchers or businessmen is due to the wide availability of huge amounts of data and imminent needs for turning such data into valuable information. During the past decade or over, the concepts and techniques on data mining have been presented, and some of them have been discussed in higher levels for the last few years. Data mining involves an integration of techniques from database, artificial intelligence, machine learning, statistics, knowledge engineering, object-oriented method, information retrieval, high-performance computing and visualization. Essentially, data mining is high-level analysis technology and it has a strong purpose for business profiting. Unlike OLTP applications, data mining should provide in-depth data analysis and the supports for business decisions.

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