The Impact of the Measurement Process in Intelligent System of Data Gathering Strategies

2021 ◽  
pp. 445-457
Author(s):  
Mario José Diván ◽  
Madhusudan Singh
Keyword(s):  
Intelligent System ◽  
Data Gathering ◽  
Measurement Process ◽  
The Impact

Governance of differential stakeholder interests in supply chains and networks

2013 ◽  
Vol 13 (2) ◽  
pp. 99-105 ◽  
Author(s):  
E.F.M. Wubben ◽  
H.J. Bremmers ◽  
P.T.M. Ingenbleek ◽  
A.E.J. Wals
Keyword(s):  
Social Sciences ◽  
Business Models ◽  
Production Systems ◽  
Stakeholder Management ◽  
Data Gathering ◽  
Health Claims ◽  
Stakeholder Dialogue ◽  
Stakeholder Interests ◽  
Multi Stakeholder ◽  
The Impact

Competing frames and interests regarding food provision and resource allocation, adding to the increased global interdependencies, necessitate agri-food companies and institutions to engage themselves in very diverse multi-stakeholder settings. To develop new forms of interaction, and governance, researchers with very different backgrounds in social sciences try to align, or at least share, research trajectories. This first paper in a special issue on governance of differential stakeholder interests discusses, first, different usages of stakeholder categories, second, the related intersubjectivity in sciences, third, an rough sketch of the use of stakeholder management in different social sciences. Social science researchers study a wide variety of topics, such as individual stakeholder impact on new business models, stakeholder group responses to health claims, firm characteristics explaining multi-stakeholder dialogue, and the impact of multi-stakeholder dialogue on promoting production systems, and on environmental innovations. Interestingly, researchers use very different methods for data gathering and data analysis.

Fuzzy overall equipment effectiveness and line performance measurement using artificial neural network

2019 ◽  
Vol 25 (2) ◽  
pp. 340-354 ◽  
Author(s):  
Mahsa Fekri Sari ◽  
Soroush Avakh Darestani
Keyword(s):  
Fuzzy Inference ◽  
Intelligent System ◽  
Data Gathering ◽  
Linguistic Terms ◽  
Automatic Data ◽  
Content Type ◽  
Smart Systems ◽  
Input And Output ◽  
Artificial Neural ◽  
Uncertain Input

Purpose The overall equipment effectiveness (OEE) is a powerful metric in production as well as one of the methods in evaluating function for measuring productivity in the production process. In the existing method, measuring OEE is based on three main elements consisting availability, performance and quality. The purpose of this paper is to evaluate the recognized metrics of production: OEE and overall line effectiveness (OLE) by using smart systems techniques. Design/methodology/approach In this paper, to improve the calculative methods and productivity with three methods: measuring OEE using Mamdani fuzzy inference systems (FIS), measuring OEE using Sugeno FIS, and measuring OLE using FIS and artificial neural networks (ANNs) are proposed. Findings The proposed methodologies aim to decrease some weaknesses of OEE and OLE methods by exploiting intelligent system techniques, such as FIS and ANNs. In particular, this research will solve the following issues that occur in manual and automatic data gathering. This technique is an effective way of measuring OEE and OLE with regard to different weights of losses as well as difference in the weight of the machines. In addition, it allows the operator’s knowledge to take a part in the measurement using uncertain input and output with implementation of linguistic terms. The presented method is the details and capabilities of those methods in various tested scenarios, and the results have been fully analyzed. Originality/value In relation to other methodologies, it allows the operator’s knowledge to take part in the measurement using uncertain input and output with implementation of linguistic terms. The presented method is the details and capabilities of those methods in various tested scenarios, and the results have been fully analyzed.

Prevalence of ADHD in children born by mothers consuming Frankincense during pregnancy

2021 ◽  
Author(s):  
Alimohammad Ranjbar ◽  
Elahe Kamali Ardakani ◽  
Rahele Zareshahi
Keyword(s):  
Data Gathering ◽  
Control Group ◽  
Case Group ◽  
Dsm V ◽  
History Of ◽  
The Difference ◽  
The Impact ◽  
The Relationship ◽  
The Brain ◽  
Positive Effect

Aims: In Iranian culture, due to some narratives from the prophet Mohammad about the use of frankincense during pregnancy for increasing IQ in children, some women consume frankincense during expectancy. This study's goal is to evaluate the relationship between frankincense used during pregnancy and the incidence of ADHD. Methods: In this study, the case group comprised children 4-17 years old referring to Shahid Chamran Pharmacy in Yazd from summer to winter 2018 for receiving Methylphenidate, those with whom a psychologist had identified ADHD based on DSM-V factors.  The control group included children of the same age group but without ADHD. For data gathering, a checklist was used with some questions on smoking, family history of ADHD, presence/absence of a specific disease during pregnancy, frankincense used during pregnancy, and a chemical medication consumed during pregnancy. Results: The main result demonstrated that the children whose mothers used frankincense during pregnancy were 0.67 times less likely to be affected by ADHD than those whose mothers did not use this substance. However, the difference failed to be statistically significant (P>0.05). Conclusion: Some studies report that frankincense can bear a positive effect on the development of the brain and possibly adequate formation of dendrites trees, axons and induce proper communication between them, so the impact of frankincense on the brain may be justified by its protective effect against the hyperactive child.

Leveraging on the Digital Twin for improving retail store daily operations management

2019 ◽  
Author(s):  
Yasmina Maizi ◽  
Ygal Bendavid
Keyword(s):  
Real Time ◽  
Operations Management ◽  
Impact Analysis ◽  
Manufacturing Sector ◽  
Research Work ◽  
Data Gathering ◽  
Time Data ◽  
Fast Development ◽  
The Face ◽  
The Impact

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.

Exploring the Consistency of Adults’ Food Choice motives with Sustainable Diet Components: a Qualitative Study

2020 ◽  
Author(s):  
Arezoo Haghighian Roudsari ◽  
Abouali Vedadhir ◽  
Maryam Shokouhi ◽  
Ali Milani Bonab
Keyword(s):  
Qualitative Study ◽  
Data Gathering ◽  
Food Choices ◽  
Sustainable Food ◽  
Food And Agriculture ◽  
Health And Nutrition ◽  
Sustainable Diet ◽  
Food And Nutrition ◽  
The Individual ◽  
The Impact

Abstract Background Todays, due to the impact of human food choices on increasing greenhouse gas emissions, water consumption and environmental degradation, there is a new thinking about changing the pattern of food production and consumption, including sustainable food and nutrition system related to consumption. This study aimed to explore the dimensions of a sustainable diet among the determinants of people's food choices. Methods This qualitative study was carried out using an in-depth interview with 33 individuals aged 30-64 years old living in different areas of Tehran. Data gathering, data analysis and theoretical conceptualization were performed simultaneously and from the beginning of the research, and for managing and organizing the data, the MAXQDA 10 software was used. Results In this paper, the findings are categorized according to the key components of a sustainable diet in five themes: "Health and Nutrition", "Food and Agriculture Security", "Environment and Ecosystems", "Markets, food trade and production chains", "social, cultural, and policy factors" were categorized. Meanwhile, the components of the "Health and Nutrition" domain had the highest contribution and the components of the two domains "food and agriculture" and "environment and ecosystems" had the lowest role among the statements of the participants in this study. Conclusion considering to the low importance of the dimensions of a sustainable diet in food choices of the community, promoting the individual awareness of sustainable diet components, clarifying the importance of food choices in creating environmental impacts and leading the national macro policies in the field food and nutrition toward sustainable diet goals are essential.

Unpredictability of AI: On the Impossibility of Accurately Predicting All Actions of a Smarter Agent

2020 ◽  
Vol 07 (01) ◽  
pp. 109-118
Author(s):  
Roman V. Yampolskiy
Keyword(s):  
Intelligent System ◽  
Impossibility Result ◽  
The Impact ◽  
Ai Safety

The young field of AI Safety is still in the process of identifying its challenges and limitations. In this paper, we formally describe one such impossibility result, namely Unpredictability of AI. We prove that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives, even if we know the terminal goals of the system. In conclusion, the impact of Unpredictability on AI Safety is discussed.

scholarly journals Knocking and Listening: Learning Mechanical Impulse Response for Understanding Surface Characteristics

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 369 ◽  
Author(s):  
Semin Ryu ◽  
Seung-Chan Kim
Keyword(s):  
Intelligent System ◽  
Surface Characteristics ◽  
Machine Learning Techniques ◽  
Test Accuracy ◽  
Learning Approaches ◽  
Well Test ◽  
Mechanical Responses ◽  
Learning Techniques ◽  
The Impact ◽  
Mechanical Impulse

Inspired by spiders that can generate and sense vibrations to obtain information regarding a substrate, we propose an intelligent system that can recognize the type of surface being touched by knocking the surface and listening to the vibrations. Hence, we developed a system that is equipped with an electromagnetic hammer for hitting the ground and an accelerometer for measuring the mechanical responses induced by the impact. We investigate the feasibility of sensing 10 different daily surfaces through various machine-learning techniques including recent deep-learning approaches. Although some test surfaces are similar, experimental results show that our system can recognize 10 different surfaces remarkably well (test accuracy of 98.66%). In addition, our results without directly hitting the surface (internal impact) exhibited considerably high test accuracy (97.51%). Finally, we conclude this paper with the limitations and future directions of the study.

scholarly journals Intelligent Energy Management Strategy for Automated Office Buildings

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4326 ◽  
Author(s):  
Simplice Igor Noubissie Tientcheu ◽  
Shyama P. Chowdhury ◽  
Thomas O. Olwal
Keyword(s):  
Energy Consumption ◽  
Intelligent System ◽  
Weather Condition ◽  
Electrical Energy ◽  
Integrated System ◽  
Office Buildings ◽  
Photovoltaic System ◽  
Energy Management Strategy ◽  
Significant Saving ◽  
The Impact

The increasing demand to reduce the high consumption of end-use energy in office buildings framed the objective of this work, which was to design an intelligent system management that could be utilized to minimize office buildings’ energy consumption from the national electricity grid. Heating, Ventilation and Air Conditioning (HVAC) and lighting are the two main consumers of electricity in office buildings. Advanced automation and control systems for buildings and their components have been developed by researchers to achieve low energy consumption in office buildings without considering integrating the load consumed and the Photovoltaic system (PV) input to the controller. This study investigated the use of PV to power the HVAC and lighting equipped with a suitable control strategy to improve energy saving within a building, especially in office buildings where there are reports of high misuse of electricity. The intelligent system was modelled using occupant activities, weather condition changes, load consumed and PV energy changes, as input to the control system of lighting and HVAC. The model was verified and tested using specialized simulation tools (Simulink®) and was subsequently used to investigate the impact of an integrated system on energy consumption, based on three scenarios. In addition, the direct impact on reduced energy cost was also analysed. The first scenario was tested in simulation of four offices building in a civil building in South Africa of a single occupant’s activities, weather conditions, temperature and the simulation resulted in savings of HVAC energy and lighting energy of 13% and 29%, respectively. In the second scenario, the four offices were tested in simulation due to the loads’ management plus temperature and occupancy and it resulted in a saving of 20% of HVAC energy and 29% of lighting electrical energy. The third scenario, which tested integrating PV energy (thus, the approach utilized) with the above-mentioned scenarios, resulted in, respectively, 64% and 73% of HVAC energy and lighting electrical energy saved. This saving was greater than that of the first two scenarios. The results of the system developed demonstrated that the loads’ control and the PV integration combined with the occupancy, weather and temperature control, could lead to a significant saving of energy within office buildings.

scholarly journals The impact of COVID-19 pandemic on conventional work settings

2020 ◽  
Vol 40 (9/10) ◽  
pp. 909-927
Author(s):  
Randa Diab-Bahman ◽  
Abrar Al-Enzi
Keyword(s):  
Working Conditions ◽  
Good Practice ◽  
Data Gathering ◽  
Phenomenological Approach ◽  
Future Research ◽  
Crowd Sourcing ◽  
Policy Makers ◽  
Content Type ◽  
The Impact ◽  
Insight Into

PurposeTo give insight into human resource (HR) policy makers of the impact of the abrupt change in working conditions as reported from their primary stakeholders – the employees.Design/methodology/approachReported from a first-person point of view, 192 employees from Kuwait who are currently working from home were surveyed as to how the lockdown circumstances have impacted their conventional work expectations. The study compares the old working conditions (OWC) to the current working conditions (CWC) to give insight into the overall sentiments of the abrupt changes to the workplace.FindingsIt was found that most employees agreed that OWC need to be reviewed, and that the general sentiment was almost equally split on the efficiency of CWC in comparison to OWC, yet the majority was enjoying the flexible conditions. Moreover, the majority of respondents found that overall conventional work elements either remained the same or had been impacted positively rather than negatively. Also, if given an option of a hybrid model inclusive of partly working remotely and partly working on-site, a considerable majority reported that they are able to efficiently conduct atleast 80% of their work expectation. Finally, it was found that employee expectation is changing as they consider post COVID-19 conditions.Research limitations/implicationsThis research was conducted using virtual crowd-sourcing methods to administer the survey and may have been enhanced should other methods have been integrated for data gathering. Also, a more comprehensive phenomenological approach could have been incorporated to add a qualitative method to the investigation. This could have freed the results of answer limitation and experience bias. Moreover, it is good practice to involve both quantitative and qualitative elements to any research when possible. Finally, future research can benefit from a bigger pool of participants so as to gain a clearer picture.Originality/valueThis research will give policy makers a look at what needs to be reviewed/changed for a successful roll-out of remote work in accordance with their original strategies.

scholarly journals Mass data gathering and surveillance: the fight against facial recognition technology in the globalized world

2020 ◽  
Vol 74 ◽  
pp. 03006
Author(s):  
Irena Nesterova
Keyword(s):  
San Francisco ◽  
Data Protection ◽  
Facial Recognition ◽  
Data Gathering ◽  
Legal Framework ◽  
Fundamental Rights ◽  
General Data Protection Regulation ◽  
The Us ◽  
The Impact ◽  
The Eu

The growing use of facial recognition technologies has put them under the regulatory spotlight all around the world. The EU considers to regulate facial regulation technologies as a part of initiative of creating ethical and legal framework for trustworthy artificial intelligence. These technologies are attracting attention of the EU data protection authorities, e.g. in Sweden and the UK. In May, San Francisco was the first city in the US to ban police and other government agencies from using facial recognition technology, soon followed by other US cities. The paper aims to analyze the impact of facial recognition technology on the fundamental rights and values as well as the development of its regulation in Europe and the US. The paper will reveal how these technologies may significantly undermine fundamental rights, in particular the right to privacy, and may lead to prejudice and discrimination. Moreover, alongside the risks to fundamental rights a wider impact of these surveillance technologies on democracy and the rule of law needs to be assessed. Although the existing laws, in particular the EU General Data Protection Regulation already imposes significant requirements, there is a need for further guidance and clear regulatory framework to ensure trustworthy use of facial recognition technology.

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