scholarly journals Kartografska generalizacija i prilozi njezinoj automatizaciji

Geoadria ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 5
Author(s):  
Zlatimir Bićanić ◽  
Radovan Solarić
Keyword(s):  
Data Processing ◽  
Human Intervention ◽  
Real Situation ◽  
Basic Approach ◽  
The Real ◽  
Subjective Approach ◽  
Cartographic Generalization ◽  
Automated Data Processing

The purpose of cartographic generalization is to represent a particular situation adapted to the needs of its users, with adequate legibility of the real situation and its perceptional congruity with the representation. Interesting are those situations which to some degree vary from the real situation in nature. This is purposeful generalization where attention is directed towards particular, thematically valuable objects and their details. Difficulties in accomplishment of the cartographic generalization objectives are reflected in the basic approach. Some cartographers encourage the idea of complete prevalence of subjective approach to the process, yet accepting partial solutions that enable automated data processing of certain chart elements. Others stand for objectifying of all procedures, or schematic solving of all issues in the process, which will gradually lead up to the level where it could be termed automated. The latter is considered more acceptable by the authors of this paper, implying the necessary human intervention in the generalization, yet not to determine the course of the process, but just to act as a mediator. 

scholarly journals Visual Analysis of Research Paper Collections Using Normalized Relative Compression

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 612
Author(s):  
Pere-Pau Vázquez
Keyword(s):  
Data Processing ◽  
Reference Lists ◽  
Visual Analysis ◽  
Research Paper ◽  
Research Area ◽  
Research Articles ◽  
Human Intervention ◽  
Document Collections ◽  
Automated Data Processing ◽  
Relative Compression

The analysis of research paper collections is an interesting topic that can give insights on whether a research area is stalled in the same problems, or there is a great amount of novelty every year. Previous research has addressed similar tasks by the analysis of keywords or reference lists, with different degrees of human intervention. In this paper, we demonstrate how, with the use of Normalized Relative Compression, together with a set of automated data-processing tasks, we can successfully visually compare research articles and document collections. We also achieve very similar results with Normalized Conditional Compression that can be applied with a regular compressor. With our approach, we can group papers of different disciplines, analyze how a conference evolves throughout the different editions, or how the profile of a researcher changes through the time. We provide a set of tests that validate our technique, and show that it behaves better for these tasks than other techniques previously proposed.

The Supply-Demand Research of Cultural and Tourism Industries Policies in China with the Impact of COVID-19

2020 ◽  
Vol 11 (1) ◽  
pp. 24-24
Author(s):  
Dr. Jianfei Yang
Keyword(s):  
Tourism Industry ◽  
Chinese Government ◽  
Cultural Industries ◽  
Real Situation ◽  
The Real ◽  
The World ◽  
The Impact ◽  
Near Future ◽  
Post Period

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

scholarly journals The real-time big data processing method based on LSTM or GRU for the smart job shop production process

2020 ◽  
Vol 14 ◽  
pp. 174830262096239 ◽  
Author(s):  
Chuang Wang ◽  
Wenbo Du ◽  
Zhixiang Zhu ◽  
Zhifeng Yue
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Production Process ◽  
Real Time ◽  
Job Shop ◽  
Production Data ◽  
Time Data ◽  
Big Data Processing ◽  
The Real ◽  
Data Processing Method

With the wide application of intelligent sensors and internet of things (IoT) in the smart job shop, a large number of real-time production data is collected. Accurate analysis of the collected data can help producers to make effective decisions. Compared with the traditional data processing methods, artificial intelligence, as the main big data analysis method, is more and more applied to the manufacturing industry. However, the ability of different AI models to process real-time data of smart job shop production is also different. Based on this, a real-time big data processing method for the job shop production process based on Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) is proposed. This method uses the historical production data extracted by the IoT job shop as the original data set, and after data preprocessing, uses the LSTM and GRU model to train and predict the real-time data of the job shop. Through the description and implementation of the model, it is compared with KNN, DT and traditional neural network model. The results show that in the real-time big data processing of production process, the performance of the LSTM and GRU models is superior to the traditional neural network, K nearest neighbor (KNN), decision tree (DT). When the performance is similar to LSTM, the training time of GRU is much lower than LSTM model.

Discerning the Real Situation

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

scholarly journals Experimental Investigation on a Bladed Disk with Traveling Wave Excitation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3966
Author(s):  
Luigi Carassale ◽  
Elena Rizzetto
Keyword(s):  
Data Processing ◽  
Traveling Wave ◽  
Frequency Response Function ◽  
Wave Excitation ◽  
Test Rig ◽  
Real Situation ◽  
Bladed Disk ◽  
Experimental Identification ◽  
Alternative Techniques ◽  
Processing Techniques

Bladed disks are key components of turbomachines and their dynamic behavior is strongly conditioned by their small accidental lack of symmetry referred to as blade mistuning. The experimental identification of mistuned disks is complicated due to several reasons related both to measurement and data processing issues. This paper describes the realization of a test rig designed to investigate the behavior of mistuned disks and develop or validate data processing techniques for system identification. To simplify experiments, using the opposite than in the real situation, the disk is fixed, while the excitation is rotating. The response measured during an experiment carried out in the resonance-crossing condition is used to compare three alternative techniques to estimate the frequency-response function of the disk.

Interdepartmental cooperation in providing emergency psychological assistance to minors

2021 ◽  
Author(s):  
Ol'ga Ul'yanina ◽  
Olga Gavrilova ◽  
Olga Timur
Keyword(s):  
International Experience ◽  
High Quality ◽  
Real Situation ◽  
The Real ◽  
Psychological Assistance

The provision of high-quality and timely emergency psychological assistance to minors is possible only in the conditions of a built system of interdepartmental interaction. The proposed methodological recommendations include consideration of organizational and procedural aspects of interdepartmental interaction in the provision of emergency psychological assistance on key problems of modern childhood and are based on international experience and regional practice. For the purpose of practical study of the issue, standard regulations and accompanying documents have been developed and proposed, which can be used by specialists in the field, taking into account regional specifics and the real situation, including the availability of specialists from various departments.

A Processing Method for Combined Fatigue Accelerated Test Data

2017 ◽  
Author(s):  
Songwang Zheng ◽  
Cao Chen ◽  
Lei Han ◽  
Xiaoyong Zhang ◽  
Xiaojun Yan
Keyword(s):  
Data Processing ◽  
Test Data ◽  
Turbine Blades ◽  
Processing Method ◽  
Test Time ◽  
Accelerated Test ◽  
The Real ◽  
Data Processing Method ◽  
Stress Levels ◽  
Vibration Stress

To carry out combined low and high cycle fatigue (CCF) test on turbine blades in a bench environment, it is imperative to simulate the vibration loads of turbine blades in the field. Due to the low vibration stress of turbine blades in the working state, the test time will be very long if the test vibration stress is equal to the real vibration stress in working state. Therefore, an accelerated test will be used when the test life reach the target value (typically 107). During the accelerated test, each blade is tested at two or more times than the real vibration stress. That means some specimens are tested under two vibration stress levels. In this case, a reasonable data processing method becomes very important. For this reason, a data processing method for the CCF accelerated test is proposed in this paper. These test data are iterated on the basis of S-N curve. Finally, ten real turbine blades are tested in a bench environment, one of them is tested under two vibration stress levels. The test data is processed using the method proposed above to obtain the unaccelerated life data.

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