Evaluation of User Preference Criteria on Smart Technologies for Smart Buildings

2019 ◽  
pp. 713-721
Author(s):  
Irem Ucal Sari ◽  
Doruk Karlikaya
Keyword(s):  
User Preference ◽  
Smart Buildings ◽  
Preference Criteria ◽  
Smart Technologies

scholarly journals Facility management of smart buildings

2018 ◽  
Vol 9 (2) ◽  
pp. 181-187 ◽  
Author(s):  
J. Pašek ◽  
V. Sojková
Keyword(s):  
Cost Savings ◽  
Facility Management ◽  
Life Cycles ◽  
Smart Buildings ◽  
Optimal Functioning ◽  
Integration Of Services ◽  
Facility Manager ◽  
Practical Experiences ◽  
Smart Technologies ◽  
New Phenomena

The current development of smart buildings is conditioned by the development of smart technologies, bringing many new phenomena into the construction industry that change ownership, user and management environments. The optimized and truly functional smart building already includes engineering and non-technical aspects, which must, however, be respected during all life cycles. This requires the emergence of completely new expertise or the extension of the existing expertise, including facility management. Smart buildings enable cost savings and facilitated operation to facility management. Moreover, smart buildings also contain significant multidisciplinarity, especially in pertaining technical areas. This requires the facility manager to monitor individual disciplines and ensure their interoperability and optimal functioning to meet the needs of building users. This contribution is based on practical experiences and focuses on the analysis of the new demands that smart buildings require in management issues, the evaluation of synergies between smart buildings and efficient facility management for maximizing the use of the building and its sustainability. It also quantifies the benefits of facility management for the operation of smart buildings and their utility value, depending on the degree of integration of services.

Predicting collective user preference for optimal comfort level in smart buildings

2015 ◽  
Author(s):  
Syafril Bandara ◽  
Takeshi Yashiro ◽  
M. Fahim Ferdous Khan ◽  
Noboru Koshizuka ◽  
Ken Sakamura
Keyword(s):  
Comfort Level ◽  
User Preference ◽  
Smart Buildings

Analysis of athletes’ stadium stress source based on improved layered K-means algorithm

2020 ◽  
Vol 39 (4) ◽  
pp. 5905-5914
Author(s):  
Chen Gong
Keyword(s):  
Experimental Data ◽  
Machine Learning Algorithms ◽  
User Preference ◽  
Experimental Comparison ◽  
Actual Situation ◽  
Medical Field ◽  
Pressure Source ◽  
Preference Model ◽  
Related Research ◽  
Analysis System

Most of the research on stressors is in the medical field, and there are few analysis of athletes’ stressors, so it can not provide reference for the analysis of athletes’ stressors. Based on this, this study combines machine learning algorithms to analyze the pressure source of athletes’ stadium. In terms of data collection, it is mainly obtained through questionnaire survey and interview form, and it is used as experimental data after passing the test. In order to improve the performance of the algorithm, this paper combines the known K-Means algorithm with the layering algorithm to form a new improved layered K-Means algorithm. At the same time, this paper analyzes the performance of the improved hierarchical K-Means algorithm through experimental comparison and compares the clustering results. In addition, the analysis system corresponding to the algorithm is constructed based on the actual situation, the algorithm is applied to practice, and the user preference model is constructed. Finally, this article helps athletes find stressors and find ways to reduce stressors through personalized recommendations. The research shows that the algorithm of this study is reliable and has certain practical effects and can provide theoretical reference for subsequent related research.

Control Strategies of Electrical Power on Smart Buildings, a Review

2015 ◽  
Vol 10 (6) ◽  
pp. 764 ◽  
Author(s):  
José Álvarez-Alvarado ◽  
Mario Trejo-Perea ◽  
Maria de los Ángeles Herrera-Arellano ◽  
José Gabriel Ríos-Moreno
Keyword(s):  
Control Strategies ◽  
Electrical Power ◽  
Smart Buildings

Reinforcing the cyber resilience of a credit institution in Industry 4.0

2020 ◽  
Vol 16 (6) ◽  
pp. 998-1012
Author(s):  
G.V. Fedotova ◽  
D.D. Tkachenko
Keyword(s):  
Content Analysis ◽  
Public Administration ◽  
Data Security ◽  
Industry 4.0 ◽  
Credit Institution ◽  
Security Systems ◽  
Banking Systems ◽  
It Systems ◽  
Smart Technologies ◽  
Banking Development

Subject. The article discusses the modeling of preventive protection of IT systems and evaluates their cyber resilience. Objectives. The study evaluates the existing threats and determines how informatization processes may unfold in the credit segment. Methods. Research is based on methods of regulatory and legislative analysis. We evaluate today’s public administration of cybersecurity in the financial and credit sector. To give a view of the existing situation and sum up the sector’s performance for the recent years, we performed the content analysis of statistics on data hacking and leakages. Results. The article highlights new trends in the financial and credit sector and the growing complexity of data security systems. As proposed by the Bank of Russia, the integration of smart technologies is showed to reinforce the cybersecurity of banking systems. Conclusions and Relevance. The informatization of all banking operation systems, growing complexity of procedures and work logs require new robust resources to be integrated into financial technologies. Stronger cybersecurity should lay a trend in the financial and credit sector in the nearest future. The findings can be used to flag strategic milestones of the banking development in the information-driven society.

Sustainability and adaptability of regional development in the conditions of digitalization

2020 ◽  
Vol 19 (9) ◽  
pp. 1550-1613
Author(s):  
O.E. Akimova ◽  
S.K. Volkov ◽  
E.A. Gladkaya ◽  
I.M. Kuzlaeva
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Economic Behavior ◽  
Regional Inequality ◽  
Environmental Damage ◽  
Economic Potential ◽  
Human Welfare ◽  
Long Time ◽  
The Stability ◽  
Smart Technologies

Subject. The article discusses the sustainability of regional economy development, its definition, and the substance of sustainable development. Objectives. We aim at performing a comprehensive analysis of indicators of sustainability and adaptability of regional development in the context of digitalization, formulating a strategy for economic behavior that takes into account the multidimensional nature of regional inequality and is focused on boosting the economic potential of regions. Methods. The study draws on dialectic and systems approaches, general scientific methods of retrospective, situational, economic and statistical, and comparative analysis. Results. The sustainability of the region focuses on improving the human welfare over long time horizon. This happens in three areas, i.e. maximizing the efficiency of resource use; ensuring justice and democracy; minimizing resource consumption and environmental damage. The stability of the region can be assessed by using one parameter, or by combining the parameters in accordance with the type of region and expected results. Conclusions. The adaptation of a region to changing conditions depends on its type (‘adapted’, ‘adaptive’, and ‘non-adapted’). Regional inequality has two main components: difference in economic potential and social satisfaction of residents. Another component, affecting the stability and adaptability of regions, is the level of their digitalization. However, some regions have only formally embarked on the path of digitalization. Moreover, a focus on smart technologies, solutions and digitalization often leads to ignoring the goals of sustainable development. Smart technologies should be aimed at ensuring sustainability within the framework of the smart sustainable city concept.

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