scholarly journals The Main Research Directions in CA Assembly Analysis and Assembly Workstation Design

2018 ◽  
Vol 26 (42) ◽  
pp. 69-75
Author(s):  
Štefan Václav ◽  
Katarína Senderská ◽  
Albert Mareš
Keyword(s):  
Process Analysis ◽  
Research Direction ◽  
Assembly Process ◽  
Research Directions ◽  
Digital Factory ◽  
Main Research ◽  
Workstation Design ◽  
Computer Aided ◽  
Analysis Computer ◽  
Assembly Analysis

Abstract The article deals with main research direction in the field of assembly process analysis and assembly workstation design. The basic applied methods and tool in the mentioned research direction are a part of digital factory concept. The paper presents the application of knowledge system for DFA analysis, computer aided assembly, workstation design and application of virtual reality.

scholarly journals Exploring Research Trends and Building a Multidisciplinary Framework Related to Brownfield: A Visual Analysis Using CiteSpace

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xinjia Zhang ◽  
Yang Song ◽  
Shijun Wang ◽  
Sitong Qian
Keyword(s):  
Visual Analysis ◽  
Temporal Distribution ◽  
Research Direction ◽  
Evolutionary Trends ◽  
Research Directions ◽  
Main Research ◽  
Theoretical Support ◽  
Modern Cities ◽  
Critical Issues ◽  
And Cluster Analysis

Brownfield has become one of the critical issues in modern cities. Over the past few decades, a considerable number of papers on brownfield research have been published. This study reviewed 773 documents themed with “brownfield” in the Web of Science core database between 1980 and 2020 and used the CiteSpace software to sort out the spatial and temporal distribution, knowledge groups, subject structures and hotspot fields, and evolutionary trends of global brownfield research. The analysis focuses on distribution of lead authors and their institutions, high-frequency categories and keywords, high influential journals, author contribution, and evolutionary trends based on coword analysis, coauthor analysis, cocitation analysis, and cluster analysis of documents. On the basis of the aforementioned keywords, clusters, and citation bursts analysis, this paper establishes a multidisciplinary framework for brownfield research, suggesting the main research directions for the future development, which provides theoretical support and practical guidance for the research direction of future brownfield research.

scholarly journals Development of Sustainable Thinking by Information Literacy

2021 ◽  
Vol 13 (3) ◽  
pp. 1287
Author(s):  
Angela Repanovici ◽  
Cristina Salcă Rotaru ◽  
Cristinel Murzea
Keyword(s):  
Information Literacy ◽  
Web Of Science ◽  
Scientific Information ◽  
Close Correlation ◽  
Research Direction ◽  
Research Directions ◽  
Main Research ◽  
Qualitative Research Study ◽  
New Research ◽  
Scientometric Study

Developing the sustainable thinking of students is an important preoccupation of specialists, teachers, and civil society. Information literacy represents the development of students’ skills to search, identify, evaluate, and ethically use scientific information. Is there a connection between sustainable thinking (ST) and information literacy (IL)? Through a scientometric study in the Web of Science (WOS) database, the authors identify clusters of keywords, analyze the articles identified in WOS, and identify the main research directions and the existing concepts. At the same time, a qualitative research study is performed regarding the opinions of students who participated in the IL class. By corroborating and interpreting the results obtained by the two previously mentioned research, the authors demonstrate a close correlation between the two, thus creating an extended map of these concepts, a limited map of the concepts used, and a theoretical map of the concepts. The connection between information literacy and the development of ST is demonstrated, thus creating the premise for a new research direction.

scholarly journals Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 651
Author(s):  
Shengyi Zhao ◽  
Yun Peng ◽  
Jizhan Liu ◽  
Shuo Wu
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Model Comparison ◽  
Research Direction ◽  
Disease Diagnosis ◽  
Tomato Leaf ◽  
Identification Accuracy ◽  
Main Research ◽  
Proposed Model ◽  
Complex Features

Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment.

Review on Relationships of Temperature History, Fatigue Damage and Microstructure Evolution Mechanism of Concrete

2014 ◽  
Vol 584-586 ◽  
pp. 944-950 ◽  
Author(s):  
Dong Fu Zhao ◽  
Mei Liu ◽  
Shi Ji Zhang
Keyword(s):  
High Temperature ◽  
Fatigue Damage ◽  
Microstructure Evolution ◽  
Research Direction ◽  
Concrete Research ◽  
Temperature History ◽  
Evolution Mechanism ◽  
Main Research ◽  
High Temperature Process ◽  
Application Prospects

The domestic and overseas research progresses of microstructure of the concrete and fatigue damage after treated by high temperature are reviewed. The main research direction and current shortage on the high temperature process, fatigue damage and the microstructure evolution mechanism of concrete are discussed. A view of the application prospects of concrete research on the high temperature process, fatigue damage and the microstructure evolution mechanism of concrete is forecast.

Deep learning approach for UHF RFID-based indoor localization

2021 ◽  
pp. 1-13
Author(s):  
Haishu Ma ◽  
Zongzheng Ma ◽  
Lixia Li ◽  
Ya Gao
Keyword(s):  
Radio Frequency Identification ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Estimation Error ◽  
Research Direction ◽  
Linear Interpolation ◽  
Linear Mapping ◽  
Uhf Rfid ◽  
Indoor Location ◽  
Main Research

Due to the proliferation of the IoT devices, indoor location-based service is bringing huge business values and potentials. The positioning accuracy is restricted by the variability and complexity of the indoor environment. Radio Frequency Identification (RFID), as a key technology of the Internet of Things, has became the main research direction in the field of indoor positioning because of its non-contact, non-line-of-sight and strong anti-interference abilities. This paper proposes the deep leaning approach for RFID based indoor localization. Since the measured Received Signal Strength Indicator (RSSI) can be influenced by many indoor environment factors, Kalman filter is applied to erase the fluctuation. Furthermore, linear interpolation is adopted to increase the density of the reference tags. In order to improve the processing ability of the fingerprint database, deep neural network is adopted together with the fingerprinting method to optimize the non-linear mapping between fingerprints and indoor coordinates. The experimental results show that the proposed method achieves high accuracy with a mean estimation error of 0.347 m.

Visitor Experience in the River Corridor Greenway: A Study of Zengjiang River Greenway in Zengcheng, Guangzhou

2013 ◽  
Vol 368-370 ◽  
pp. 474-477 ◽  
Author(s):  
Juan Yu Wu ◽  
Jian Xin Xu
Keyword(s):  
Pearl River Delta ◽  
Comprehensive Evaluation ◽  
Process Analysis ◽  
Human Dimensions ◽  
Visitor Experience ◽  
Main Research ◽  
The Pearl River ◽  
Recreational Resources ◽  
Hierarchy Process ◽  
River Corridors

Recently river corridors in Guangzhou are being focused on as important natural networks in urban environment as well as cultural and recreational resources. The study area of this research is the Licheng section of the Zengjiang River Greenway. We attempt to do a comprehensive evaluation of its built environment by visitor experience. The main research contents were divided into 6 aspects: facilities, green space, signs and maps, transport, security and management, and recreational activities in external environment. Through the analysis, we identified six human dimensions of visitor experience in the studies: cleanliness, aesthetic, comfort, safety, suitability and hydrophilic property. As a result of this research, some problems on the evaluation were grasped by the hierarchy process analysis based on the above six categories. We concluded by discussing solutions of these problems, and suggested some proposals in design to meet the visitors’ requirement for the future construction of greenway. The Zengjiang River Greenway has served as a model for riparian greenways elsewhere in the Pearl River Delta.

scholarly journals Neuropolityka – geneza, założenia, perspektywy rozwoju

2021 ◽  
Vol 5 ◽  
pp. 37-54
Author(s):  
Piotr Rutkowski ◽  
Jacek Ziółkowski
Keyword(s):  
Political Science ◽  
Interdisciplinary Research ◽  
Research Area ◽  
Research Directions ◽  
Biological Determinism ◽  
Main Research ◽  
Negative Results ◽  
Nature And Culture ◽  
Development Prospects ◽  
Research Tools

Neuropolityka to interdyscyplinarny obszar badań, znajdujący się na przecięciu nauk, łączący nauki polityczne z neuronaukami. Nie jest to jednak kolejny kierunek, który, zakłada determinizm biologiczny. Opiera się na przekonaniu o przenikaniu się natury i kultury w człowieku, warstwy cielesnej i umysłowej. Celem artykułu jest przybliżenie czytelnikowi historycznych i teoretycznych aspektów tego wciąż rozwijającego się obszaru badawczego. Naszkicowane zostały również narzędzia badawcze oraz główne kierunki badań neuropolitycznych. Autorzy wskazują na pozytywne jak i negatywne, skutki płynące z badań neuropolitycznych, oraz perspektywy stojące przed naukami o polityce i neuronaukami. Neuropolitics – Genesis, Assumptions, Development Prospects Neuropolitcs is an interdisciplinary research area, located at the intersection of various sciences, combining political science with neuroscience. However, it is not another direction that, as it may seem assumes biological determinism. It is based on belief about the interfusion of nature and culture, physical and mental dimensions in man. The aim of article is to familiarize the reader with the historical and theoretical aspects of this still developing research area. Also the research tools and main research directions of neuropolics were outlined. Authors indicate the positive and negative results of neuropolitics research and perspectives for political science and neurosciences.

John Lofland's concept of analytical ethnography

2021 ◽  
pp. 87-103
Author(s):  
ANDRII MELNIKOV ◽  
KATERYNA ALEKSENTSEVA-TIMCHENKO
Keyword(s):  
Social Sciences ◽  
Analytical Approach ◽  
Basic Research ◽  
Social Processes ◽  
Theoretical Interpretation ◽  
Research Directions ◽  
Main Research ◽  
Everyday Practices ◽  
The Social ◽  
Methodological Strategy

The paper presents a historical and theoretical interpretation of the ethnographic paradigm in the social sciences, its specificity, general principles of application and main research directions. The sources of analytical ethnography, its founders and the period of formation as an independent approach in the structure of interpretive metaparadigm are briefly considered. An ethnographic perspective is defined as a systematic, integral understanding of social processes and the organization of the collective life in the context of everyday practices. The intellectual heritage of the analytical ethnography’s founder John Lofland is presented by characterizing the basic research principles that constitute the essence of his theoretical and methodological strategy: generic propositions; unfettered inquiry; deep familiarity; emergent analysis; true content; new content; developed treatment. An attempt is made to trace the further connections of Lofland's analytical approach with other areas of the ethnographic paradigm.

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