Research on Assessment and Classification for Major Hazard Installation of Dangerous Chemicals

2012 ◽  
Vol 610-613 ◽  
pp. 904-909
Author(s):  
Ze Min Luo

Based on death radius classification method for major hazard installation, this assay utilize “the principle of maximum danger” and “the principle of probability summation” as the principles to calculate property losses and casualties, and use the Classification Standards of Major Hazard Installation (exposure draft) as the standard, to classify the major hazard installation of dangerous chemicals. Thus, it could take property losses and casualties of surrounding environment into consideration, which ensure the considered factors of major hazard installation classification of dangerous chemicals more comprehensive, and ensure the classification results more closely with the real situation. The research result of this essay would provide certain reference value on major hazard installation assessment and classification of dangerous chemicals.

2020 ◽  
Vol 65 (7) ◽  
pp. 78-87
Author(s):  
Toan Nguyen Thi ◽  
Dung Nguyen Ngoc ◽  
Xiem Nguyen Thi

Based on the survey of current qualities and competencies of Civic education teachers in Hanoi, this article affirms that, the staff has met the basic standards according to the Competency Framework for Civic education teachers. However, to get effective results in implementing the new general education program, teachers of Civic education still need a number of competencies, especially professional competency. The research result is the basis for identifying training content and methods to develop the competencies of this staff.


2020 ◽  
Vol 1 (2) ◽  
pp. 24-29
Author(s):  
Anak Agung Ngurah Dharma Bayu Subandi ◽  
Anak Agung Sagung Laksmi Dewi ◽  
Ni Made Puspasutari Ujianti

Banks as credit providers should trust their customers within the agreed period of repayment of all credit that has been submitted. In practice, many customers do not fulfill the promised time to repay their loans. For various reasons, Default is caused the debtor's lack of awareness of his binding obligations. This study aims to determine the factors that lead to default in returning credit at the Desa Adat Kapal credit institution, and to determine the settlement of default in returning credit at the Desa Adat Kapal credit institution. The type of research used is the type of empirical research, where this research is carried out in accordance with the real situation of a community group or the surrounding environment in order to find facts or existing legal problems. The results of this study indicate that the factors causing non-performing loans in general are that all loans carry a high risk. Non-performing loans are loans that contain weaknesses or do not meet the quality standards set by the bank. Then, the settlement of defaults according to custom at the Ship Traditional Village Credit Institution is based on Article 8 of the Traditional Ship Village Credit Institution agreement.


2012 ◽  
Vol 53 ◽  
Author(s):  
Lijana Stabingienė

In this paper supervised classification method is proposed. It is based on Bayes discriminant functions (BDF) and it deals with the problem of optimal classification for images, which are corrupted by natural phenomenon such as cloud, smoke or fog. Solving such a problem is very important when we have remotely sensed information, which very often is corrupted by clouds. For example, the remotely sensed images from the territory of Lithuania are very often corrupted by clouds. The idea of classification, using BDF with incorporated spatial dependency between the observation to be classified and the training sample is presented in earlier works of the author. The novelty of this paper is the method how to use these methods for the real situation, i.e. for the remotely sensed image which is naturally covered by clouds. Visual and numerical results are presented in this paper, which show the advantage of this method against BDF ignoring spatial dependency between training sample and observation to be classified and against the method using grey level cooccurrence matrices.


2021 ◽  
Author(s):  
Qianwei Cheng ◽  
AKM Mahbubur Rahman ◽  
Anis Sarker ◽  
Abu Bakar Siddik Nayem ◽  
Ovi Paul ◽  
...  

Rapid globalization and the interdependence of the countries have engendered tremendous in-flow of human migration towards the urban spaces. With the advent of high definition satellite images, high-resolution data, computational methods such as deep neural network analysis, and hardware capable of high-speed analysis; urban planning is seeing a paradigm shift. Legacy data on urban environments are now being complemented with high-volume, high-frequency data. However, the first step of understanding the urban area lies in the useful classification of the urban environment that is usable for data collection, analysis, and visualization. In this paper, we propose a novel classification method that is readily usable for machine analysis and it shows the applicability of the methodology in a developing world setting. However, the state-of-the-art is mostly dominated by the classification of building structures, building types, etc., and largely represents the developed world. Hence, these methods and models are not sufficient for developing countries such as Bangladesh where the surrounding environment is crucial for the classification. Moreover, the traditional classifications propose small-scale classifications, which give limited information, have poor scalability and are slow to compute in real-time. We categorize the urban area in terms of informal and formal spaces and take the surrounding environment into account. 50 km × 50 km Google Earth image of Dhaka, Bangladesh was visually annotated and categorized by an expert and consequently, a map was drawn. The classification is based broadly on two dimensions the state of urbanization and the architectural form of the urban environment. Consequently, the urban space is divided into four classifications: 1) highly informal area 2) moderately informal area 3) moderately formal area and 4) highly formal area. For semantic segmentation and automatic classification, Google’s DeeplabV3+ model was used. The model uses the Atrous convolution operation to analyze different layers of texture and shape. This allows us to enlarge the field of view of the filters to incorporate a larger context. Image encompassing 70% of the urban space was used to train the model and the remaining 30% was used for testing and validation. The model can segment with 75% accuracy and 60% Mean Intersection over Union (mIoU).


Author(s):  
Olena Kharytonenko

On July 1, 2016, a new DSTU 3017: 2015 “Editions. Main Types. Terms and Definitions” became law. As in the previous 1995 standard, it represents classification of both periodical and non-periodical editions. The subject of the study is peculiarities of domestic standardization of periodicals’ types. The article analyses the classification of periodicals, as reflected in the updated DSTU 3017. The article aims at identifying positive innovations in the standard and attracting attention of scientists to the controversial issues presented classification. The achievements are as follows: the validity of definitions; the presence of hierarchy in the list of publications. The main shortcomings include: the absence of classifications of periodicals on a number of criteria (the reading assignment, the place of issue and the scope of dissemination, the nature of exposure, the type of registration, the characteristics of a publisher); the lack of guidance for description of typological characteristics of publications in the output information; the lack of reflection of the results of modern researches on the typology of periodicals; the partial inappropriateness of typological series of periodicals to the real situation in the field of production of periodicals in the country (uncertainty and inconsistency of status of informational and analytical newspapers and magazines, art periodicals, serial publications, etc.); the incomplete definition of serial publications and the invalidity of the term “General political newspaper” (along with the terms “socio-political edition” and “socio- political journal”).


Author(s):  
Dr. Jianfei Yang

COVID-19 has made a bad influence on economic and society including cultural and tourism industry in China,2020.The industry has received a huge loss in the first quarter of the year and the situation is getting worse in the near future. It is believed that there will be a long impact for the country even the world. In order to recover the industry, Chinese government has published series of policies to support the enterprises and clusters to reduce the bad influence of COVID-19. This paper mainly uses filed survey and documentary research to map the real situation of the industry. It tries to find the policy demand of the industries and then analyze the policies published by government to conquer COVID-19. Meanwhile it will focus on whether the supply meet the demand and give suggestions on how to promote the policy efficiency in the post period of COVID-19 in China. Keywords: Evaluation; Cultural Industries; Policy; Park; Pandemic


Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 915
Author(s):  
Diding Suhandy ◽  
Meinilwita Yulia

As a functional food, honey is a food product that is exposed to the risk of food fraud. To mitigate this, the establishment of an authentication system for honey is very important in order to protect both producers and consumers from possible economic losses. This research presents a simple analytical method for the authentication and classification of Indonesian honeys according to their botanical, entomological, and geographical origins using ultraviolet (UV) spectroscopy and SIMCA (soft independent modeling of class analogy). The spectral data of a total of 1040 samples, representing six types of Indonesian honey of different botanical, entomological, and geographical origins, were acquired using a benchtop UV-visible spectrometer (190–400 nm). Three different pre-processing algorithms were simultaneously evaluated; namely an 11-point moving average smoothing, mean normalization, and Savitzky–Golay first derivative with 11 points and second-order polynomial fitting (ordo 2), in order to improve the original spectral data. Chemometrics methods, including exploratory analysis of PCA and SIMCA classification method, was used to classify the honey samples. A clear separation of the six different Indonesian honeys, based on botanical, entomological, and geographical origins, was obtained using PCA calculated from pre-processed spectra from 250–400 nm. The SIMCA classification method provided satisfactory results in classifying honey samples according to their botanical, entomological, and geographical origins and achieved 100% accuracy, sensitivity, and specificity. Several wavelengths were identified (266, 270, 280, 290, 300, 335, and 360 nm) as the most sensitive for discriminating between the different Indonesian honey samples.


1964 ◽  
Vol 45 (529-530) ◽  
pp. 302-307
Author(s):  
Walter Stein
Keyword(s):  

2013 ◽  
Vol 732-733 ◽  
pp. 348-351
Author(s):  
Xiao Peng Huang ◽  
Fang Xin Wan ◽  
Jing Feng Wu

By the force analysis of alfalfa grass powder material layer in work area of circular mould pelletizing system, grass pellet briquetting mechanism when alfalfa grass powder pass work area was explained, function relationship between the thickness of material layer and the circular mould angle was established, force balance equation of material layer differentiation unit under the general conditions was deduced, and the total force of material layer applied by circular mould was obtained. Research result has practical meaning for guiding the process test of grass pellet product and optimizing product structure, and has a certain theoretical reference value for in-depth revealing granulating forming mechanism of hoop standard granulator.


Sign in / Sign up

Export Citation Format

Share Document