scholarly journals A Systematic Literature Review of Non-Invasive Indoor Thermal Discomfort Detection

2020 ◽  
Vol 10 (12) ◽  
pp. 4085 ◽  
Author(s):  
Alla Marchenko ◽  
Alenka Temeljotov-Salaj
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Algorithm ◽  
Technological Development ◽  
Real Life ◽  
Work Place ◽  
Data Set ◽  
Thermal Discomfort ◽  
Non Invasive

Since 1997, scientists have been trying to utilize new non-invasive approaches for thermal discomfort detection, which promise to be more effective for comparing frameworks that need direct responses from users. Due to rapid technological development in the bio-metrical field, a systematic literature review to investigate the possibility of thermal discomfort detection at the work place by non-invasive means using bio-sensing technology was performed. Firstly, the problem intervention comparison outcome context (PICOC) framework was introduced in the study to identify the main points for meta-analysis and, in turn, to provide relevant keywords for the literature search. In total, 2776 studies were found and processed using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. After filtering by defined criterion, 35 articles were obtained for detailed investigation with respect to facility types used in the experiment, amount of people for data collection and algorithms used for prediction of the thermal discomfort event. The given study concludes that there is potential for the creation of non-invasive thermal discomfort detection models via utilization of bio-sensing technologies, which will provide a better user interaction with the built environment, potentially decrease energy use and enable better productivity. There is definitely room for improvement within the field of non-invasive thermal discomfort detection, especially with respect to data collection, algorithm implementation and sample size, in order to have opportunities for the deployment of developed solutions in real life. Based on the literature review, the potential of novel technology is seen to utilize a more intelligent approach for performing non-invasive thermal discomfort prediction. The architecture of deep neural networks should be studied more due to the specifics of its hidden layers and its ability of hierarchical data extraction. This machine learning algorithm can provide a better model for thermal discomfort detection based on a data set with different types of bio-metrical variables.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

scholarly journals Investigating “circular business models” in the manufacturing and service sectors

2019 ◽  
Vol 30 (3) ◽  
pp. 590-606 ◽  
Author(s):  
Arvind Upadhyay ◽  
Shaheda Akter ◽  
Lindsay Adams ◽  
Vikas Kumar ◽  
Nikhil Varma
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Service Sector ◽  
Business Models ◽  
Research Study ◽  
Real Life ◽  
Content Type ◽  
Service Sectors ◽  
Definition Of ◽  
The Impact

PurposeThe purpose of this paper is to investigate the role of the different circular business models (CBMs) in the manufacturing and service sector and apply this in the context of the food industry (FI), through a systematic literature review of related published journals and articles. The research study is designed to illustrate the impact of CBMs in the manufacturing and service sectors through a combination of real-life examples and direct references to existing literature.Design/methodology/approachThe underlying research study follows a systematic literature review approach where the relevant CBMs are explored in the context of the manufacturing and service sector (FI.) The journals most cited in the context of CBMs and their implication in the manufacturing and service sector were chosen for this study. There was no fixed timeframe applied to complete the research. A total of 54 articles were selected which referenced: discussion in the context of the concept of CBMs; different types of CBM; definition of the manufacturing sector; definition of the service sector (FI); application of different CBMs in these two sectors; and included a comparison of the application of CBMs. In total, 40 of the 54 articles were shortlisted for best relevance and used in the research study.FindingsThe underlying research study was limited to 40 articles and the data contained within them. The article search was limited to the keywords of the CBM; the implication of CBM; the CBM in manufacturing (textiles); circular business in service (FI); and comparison and application of the CBM.Practical implicationsThe final analysis demonstrates that circular business promotes sustainability by allowing companies to generate maximum return from given resources and reach zero waste targets. Greater customer satisfaction is also achieved through service innovation that cuts down negative impact on the environment. These findings are relevant and applicable to the FI.Originality/valueA review of existing literature showed that whilst there is significant research on the implications of the CBM in general, there has been little focus on the use of different CBMs specifically in the manufacturing and service industry (FI). This research study is designed to tease out the specific benefits of CBMs in this context, highlighting the contribution they can make to efficiency in both the manufacturing and service sectors (FI) through useful comparison.

scholarly journals The Intercultural Competence in Education Era 4.0: A Learning Strategy for Students of Elementary School in Indonesia

2019 ◽  
Author(s):  
Harmelia Tulak ◽  
Hengki Wijaya ◽  
Susanna Vonny N. Rante ◽  
Nurmadiah ◽  
Helaluddin Helaluddin
Keyword(s):  
Elementary School ◽  
Elementary Schools ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Intercultural Competence ◽  
Social Life ◽  
Learning Strategy ◽  
Technological Development ◽  
Integrating Technology ◽  
Intercultural Competencies

Diversity in social life is a sure thing. But in reality, various problems and conflicts have arisen that are caused by intercultural competencies that are not shared by every individual. The concept of intercultural competence is the essential thing today due to several factors, namely globalization, the complexity of social life, and the pace of technological development. Intercultural competence is the ability of each to understand the culture of others and how he can communicate well with people from that culture. This article was developed using the Systematic Literature Review (SLR) method in presenting an intercultural competence learning strategy to students in elementary schools. This article focuses on the intercultural competence learning strategy by integrating technology into class activities as one of the characteristics of learning in the education era 4.0.

scholarly journals The relationship between knowledge management and leadership: mapping the field and providing future research avenues

2020 ◽  
Vol 24 (6) ◽  
pp. 1445-1492 ◽  
Author(s):  
Massimiliano Matteo Pellegrini ◽  
Francesco Ciampi ◽  
Giacomo Marzi ◽  
Beatrice Orlando
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Bibliometric Analysis ◽  
Systematic Literature Review ◽  
Selection Process ◽  
Central Element ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Management Leadership

Purpose Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years. Design/methodology/approach A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018. Findings The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them. Research limitations/implications Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80. Originality/value To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.

scholarly journals The Study of Facial Muscle Movements for Non-Invasive Thermal Discomfort Detection via Bio-Sensing Technology. Part I: Development of the Experimental Design and Description of the Collected Data

2020 ◽  
Vol 10 (20) ◽  
pp. 7315
Author(s):  
Alla Marchenko ◽  
Alenka Temeljotov-Salaj ◽  
Victor Rizzardi ◽  
Odne Oksavik
Keyword(s):  
Experimental Design ◽  
Data Collection ◽  
Thermal Comfort ◽  
Heat Waves ◽  
Facility Management ◽  
Comfort Level ◽  
Facial Muscle ◽  
Thermal Discomfort ◽  
Non Invasive ◽  
Skin Response

In the time of climate change, as heat waves become a more regular occurrence, indoor thermal comfort is an important factor in day to day life. Due to such circumstances, many researchers have focused their studies on finding an effective solution that will not only enable thermal comfort, but also increase satisfaction within the indoor environment and, as a result, productivity. The fast development of the biometrical field encouraged the study focused on the investigation of how bio-markers, in combination with artificial intelligence algorithms, can be collected within an experimental setting to create a new approach for non-invasive thermal discomfort detection. The developed experimental design provides synergy between automatic facial coding, pulse, and galvanic skin response measurements via iMotions software in a controlled environment. The iMotions software has built-in machine vision algorithms, and with Shimmer sensors and a post-processing tool through Affectiva AFFDEX, is able to collect facial action data through detection of the facial muscle movements and various bio-markers. The Zero Emission Building (ZEB) Test Cell laboratory was used as the control environment and transformed to imitate an office space for the data collection campaign at NTNU in Trondheim. The given experimental design provides an opportunity to create an immense database with bio-markers that are linked to the subcortical level of the brain, indoor parameters, and direct feedback on the comfort level of occupants within an office-like environment. In total, 111 data collection sessions were registered with iMotions. The discomfort button was pressed 240 times and 1080 planned indoor comfort evaluation surveys were held during experiment. The discomfort button was pressed 49 times to indicate that participant felt discomfort due to low temperature and 52 due to high temperature. Collected data revealed a big deviation in the discomfort temperature values for experiment participants with respect to performed temperature ramps. While it is common to use the same predefined temperature range for facility management, it became clear that the complexity of the task is greater and should not be approached on a human computational level. Implementation of AI can potentially provide higher value accuracy within thermal discomfort detection and enable unique personal user experience at the workplace.

A systematic literature review on the effectiveness of non-invasive therapy for cervicobrachial pain

2011 ◽  
Vol 16 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Emma Salt ◽  
Chris Wright ◽  
Sue Kelly ◽  
Allison Dean
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Invasive Therapy ◽  
Non Invasive

scholarly journals Kinetic energies in random vectors

2020 ◽  
Vol 2 (1) ◽  
pp. 119-125
Author(s):  
Alexandru Daia ◽  
Stelian Stancu ◽  
Om Suchak
Keyword(s):  
Kinetic Energy ◽  
Data Collection ◽  
Literature Review ◽  
Real Life ◽  
Random Vectors ◽  
Design Data ◽  
Review Section ◽  
Life Problems ◽  
Collection Methods ◽  
Study Application

Abstract This paper uses the Onicescu Coefficient concept, which is the sum of squared probabilities, through mathematical formulations to show the kinetic energy in random vectors. The paper has a brief introduction section that addresses the background of the study, the purpose of the study, and its objective. The literature review section provides an in-depth industrial application of mathematical formulations in solving real-life problems. The paper contains a methodology section highlighting the study design, data collection methods, and analysis section, highlighting some of the keywords used in locating resources and significant databases that provided the study with information. Later, the study takes the result and discussion sectional approach to present the experiments’ findings backed with facts from previous studies by other scholars in the same field. Lastly, the paper concludes with a section recapping the critical points of this study and study application in real-life, concluding with a list of references utilized by this study.

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