scholarly journals Hybrid Artificial Intelligence HFS-RF-PSO Model for Construction Labor Productivity Prediction and Optimization

Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 214
Author(s):  
Sara Ebrahimi ◽  
Aminah Robinson Fayek ◽  
Vuppuluri Sumati
Keyword(s):  
Artificial Intelligence ◽  
Labor Productivity ◽  
The Other ◽  
Swarm Optimization ◽  
Factors Affecting ◽  
Novel Approach ◽  
Study Results ◽  
Productivity Prediction ◽  
Hybrid Artificial Intelligence ◽  
The Relationship

This paper presents a novel approach, using hybrid feature selection (HFS), machine learning (ML), and particle swarm optimization (PSO) to predict and optimize construction labor productivity (CLP). HFS selects factors that are most predictive of CLP to reduce the complexity of CLP data. Selected factors are used as inputs for four ML models for CLP prediction. The study results showed that random forest (RF) obtains better performance in mapping the relationship between CLP and selected factors affecting CLP, compared with the other three models. Finally, the integration of RF and PSO is developed to identify the maximum CLP value and the optimum value of each selected factor. This paper introduces a new hybrid model named HFS-RF-PSO that addresses the main limitation of existing CLP prediction studies, which is the lack of capacity to optimize CLP and its most predictive factors with respect to a construction company’s preferences, such as a targeted CLP. The major contribution of this paper is the development of the hybrid HFS-RF-PSO model as a novel approach for optimizing factors that influence CLP and identifying the maximum CLP value.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

Factors affecting formation of haloacetonitriles and haloketones during chlorination/monochloramination of Jinlan Reservoir water

2013 ◽  
Vol 13 (4) ◽  
pp. 1123-1129 ◽  
Author(s):  
Huachang Hong ◽  
Fangqu Huang ◽  
Hongjun Lin ◽  
Haiying Yu ◽  
Fangyuan Wang ◽  
...  
Keyword(s):  
Drinking Water ◽  
Reaction Time ◽  
Low Ph ◽  
The Other ◽  
Range Analysis ◽  
Reservoir Water ◽  
Factors Affecting ◽  
Treatment Conditions ◽  
Study Results ◽  
Influence Of Ph

Formations of haloacetonitriles (HANs) and haloketones (HKs) from chlorination and chloramination from Jinlan Reservoir water under different treatment conditions were investigated in this study. Results showed that monochloramine rather than chlorine produced significant lower concentrations of HANs and HKs. In chlorination, the formation of HANs and HKs increased with the reaction time and chlorine dose. Addition of bromide significantly enhanced the total HANs yields but reduced total HKs formation due to the unavailability of bromine-containing HKs. HANs yields increased as the temperature was raised, yet HKs yields increased first and decreased later with temperature. As for the influence of pH, the HKs yields generally increased as the pH decreased, yet no obvious pattern was observed for HANs formation. On the other hand, in monochloramination, the yields of HANs and HKs generally increased with reaction time, temperature and the monochloramine dose. Higher HANs and HKs yields formed at low pH, and the addition of bromide significantly increased the total HANs yields. Range analysis further revealed that avoiding the bromide contamination, lowering the chlorine/monochloramine dose as well as reducing the reaction time were the effective ways to control HANs and HKs formation for drinking water sourced from Jinlan Reservoir water.

scholarly journals A Study of Purchase Intention on Smartphones of Post 90s in Hong Kong

2019 ◽  
Vol 15 (6) ◽  
pp. 78
Author(s):  
Anthony Tik-Tsuen Wong
Keyword(s):  
Hong Kong ◽  
Social Influence ◽  
Quantitative Study ◽  
Purchase Intention ◽  
The Other ◽  
Brand Name ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
New Model ◽  
The Relationship

Nowadays, people are willing to purchase their own smartphone and they heavily rely on their smartphone. In this case, smartphones have become the daily necessity among Hong Kong people. Also, nowadays Hong Kong people always look for the new model of smartphones, the trend of changing smartphones is still very strong. The purpose of this research is to study the factors affecting the purchase intention of smartphones of post 90s in Hong Kong. After reviewing the literature, this study chose three variables to study the relationship between brand name, price and social influence and purchase intention. An online questionnaire was adopted to carry out a quantitative study of post 90s in Hong Kong. The content of the survey included demographic factors and questions based on each variable. The result of the survey shows that there are two hypotheses are support in the study. One is the relationship between brand name and purchase intention and the other is relationship between social influence and purchase intention whilst price is not a significant factor influencing purchase intention. Therefore, it is strongly believe that management of smartphone producers and traders need to pay more attention to brand name and social influence in enhancing the purchase intention among post 90s in Hong Kong.

THE FREQUENCIES OF X-RAY EXAMINATIONS AND CT SCANS: FINDINGS FROM A SAMPLE INVESTIGATION IN JIANGSU, CHINA

2020 ◽  
Vol 190 (1) ◽  
pp. 38-44
Author(s):  
Xiang Du ◽  
Jin Wang ◽  
BaoLi Zhu
Keyword(s):  
Multiple Linear Regression Model ◽  
The Other ◽  
Ct Scans ◽  
Gdp Per Capita ◽  
Factors Affecting ◽  
X Ray ◽  
Medical Institutions ◽  
Medical Exposure ◽  
Per Capita ◽  
The Relationship

Abstract Objective: The present study was performed to evaluate the frequencies of two kinds of examinations using a proportional sample of 262 medical institutions and to observe the factors affecting the amount of examination-related exposure. The other aim of the present study was to observe the relationship between X-ray and CT frequency with GDP per capita, which could indicate the connection between medical exposure practice and economy. Methods: A random sample was taken from a pool of 316 medical institutions, and correlation analyses were performed to identify the factors affecting the amount of examination-related exposure. A representative sample of 262 medical institutions, proportional to the distribution of hospitals across grades, was used, and a multiple linear regression model was constructed. Results: The frequencies of X-ray examinations and CT scans were 523 per 1000 people and 223 per 1000 people, respectively. The two kinds of radio-diagnostic examinations showed different patterns in their relationships with GDP per capita. The factors correlated with the amounts of exposure due to the two kinds of examinations and the outpatient and equipment numbers showed distinctive patterns in the group of grade three institutions. Conclusions: The improvement in the economy has caused a rapid increase in the use of radio-diagnostic examinations. The differences in factors correlated with the two types of examinations may stem from the workload statuses of CT scans and X-ray examinations in grade three hospitals.

The Interplay of Social Status and Trust: A Critical Review of Concepts, Operationalizations, and Findings

2021 ◽  
Vol 25 (2) ◽  
pp. 203-220
Author(s):  
Carolina Dahlhaus ◽  
Thomas Schlösser
Keyword(s):  
Socioeconomic Status ◽  
Social Status ◽  
Negative Correlation ◽  
The Other ◽  
Systematic Analysis ◽  
Theoretical Approaches ◽  
The Social ◽  
Study Results ◽  
Positive Correlations ◽  
The Relationship

This review examines the relationship between a person’s social status and trust. Previous research has yielded differing results. On one hand, studies have repeatedly found positive correlations of different strengths between social status and trust; that is, persons with higher social status trust more than persons with lower social status. On the other hand, empirical evidence has also suggested a negative correlation between social status and trust; that is, persons with lower social status trust more than persons with higher social status. In addition to a systematic analysis of the various theoretical approaches and the respective study results, possible causes for these diverging empirical findings are discussed. With regard to the relationship between socioeconomic status and generalized trust, all studies reviewed show a positive correlation. Contradictory results can be found only in studies that investigated socioeconomic status and trust, measured as behavior. In addition to the different operationalizations of social status and trust, one potential cause for different results may be found in the fact that in experimental settings, the social status of the interaction partner is often known.

scholarly journals Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heidi Aly
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Economic Development ◽  
Labor Productivity ◽  
Developed Countries ◽  
Digital Transformation ◽  
Future Research ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose The entire world is now witnessing the Fourth Industrial Revolution and Artificial Intelligence (AI) is indeed altering the lives of the many in both developing and developed countries. Massive digital transformations are affecting the economies of those countries and are bringing with them many promised merits, as well as many challenges to face. This paper aims to examine the relationship between digital transformation (as a one facet of the fourth revolution and AI trends) on one side, and economic development, labor productivity and employment on the other side. Design/methodology/approach The paper analyzes different indices of digital transformation, and then uses the Digital Evolution Index (DEI) to study those relationships in a group of developing countries using feasible generalized least squares method (FGLS). Findings The results show a positive relationship between the digital transformation index and economic development, labor productivity and job employment. Females seem to gain more from digital transformation compared to males, as suggested by the positive relation with the first and the insignificant relation with the latter. The relationship with vulnerable employment is not significant; more evidence is still needed to judge whether digital transformation will have an impact upon the vulnerable employees in the economy. Research limitations/implications The paper focused on the impact of digital transformation upon total aggregate employment. Future research is still needed to examine the impact upon the structure of the labor market and the shift of occupations. Originality/value The paper aims to add to in the literature regarding the relationship between digital transformation, economic development, employment and productivity in the developing world. The implications of those relationships are of significant importance to policymakers regarding how much support should be given to encourage the digital transformation. At the same time, it shall also indicate how much social support policies are required – if any – to lessen the negative impact of digital transformation on the vulnerable groups inside the country. Another contribution is using a single composite index for digital transformation that is comparable across the chosen set of developing countries, instead of using single indices each capturing a different dimension of digital transformation.

scholarly journals Visibility and Ceiling Nowcasting Using Artificial Intelligence Techniques for Aviation Applications

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1657
Author(s):  
Fabricio Magalhães Cordeiro ◽  
Gutemberg Borges França ◽  
Francisco Leite de Albuquerque Neto ◽  
Ismail Gultepe
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Meteorological Data ◽  
Correlation Coefficients ◽  
Probability Of Detection ◽  
Forecast Evaluation ◽  
The Other ◽  
Categorical Methods ◽  
Novel Approach ◽  
Categorical Method

This work presents a novel approach for simulating visibility (Vis) and ceiling base height (Hc) in up to 1 h using several machine learning (ML) algorithms. Ten years of meteorological data at 15 min intervals for Santos Dumont airport (SDA), Rio de Janeiro, Brazil were used in the ML method training and testing process. In the investigation, several categorical and regressive algorithms were trained and tested, and the results were verified with observations. The forecast results reveal that the categorical methods produced satisfactory results only up to 15 min for visibility prediction with the probability of detection greater than 85%. On the other hand, the regressive methods were found to be more capable of generating an accurate prediction of Vis and Hc compared to categorical method up to 60 min. The forecast evaluation metrics for Vis and Hc had correlation coefficients of 0.99 ± 0.00 and 0.96 ± 0.00, with mean absolute errors of 324 ± 77 m, and 167 ± 21 m, respectively. Results suggested that ML methods can improve the prediction of Vis and Hc up to 1 h when accurate observations are used for the analysis.

scholarly journals Factors Affecting Customer Value Co-Creation Behavior: A Case of Tourism Industry

2020 ◽  
Vol V (IV) ◽  
pp. 23-30
Author(s):  
Aziz Ur Rehman Rana ◽  
Amir Gulzar ◽  
Amjad Shamim
Keyword(s):  
Customer Value ◽  
Target Population ◽  
Tourism Industry ◽  
Factors Affecting ◽  
Mediating Role ◽  
Northern Areas ◽  
Tourism Sector ◽  
Study Results ◽  
The Relationship

The main purpose of this study is to find the factors affecting value co-creation behavior. This study also aimed to find the mediating role of customer co-creation attitude on the relationship between factors and value co-creation behavior. The target population selected for this study was the northern areas of Pakistan. The sample size of this study was (n=480) respondents. The data were collected at three different time's intervals, i.e. at the time, 1, independent variables data were collected at time 2 mediating variable was collected, and at time 3 dependent variable data was collected. This study results revealed that all factors have a positive and significant effect on customer value co-creation behavior. The results revealed that customer co-creation attitude has a positive and significant mediating role between factors and customer value co-creation behavior. The results of this study will open a new avenue in the tourism sector and as well for scholars and practitioners.

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