30 research outputs found
Applications of electroencephalography in construction
Full text linkA wearable electroencephalogram (EEG) is considered a means for investigating psychophysiological conditions of individuals in the workplace in order to ameliorate occupational health and safety. Following other sectors, construction scholars have adopted this technology over the past decade to strengthen evidence-based practices to improve the wellbeing of workers. This study presents the state-of-the-art hardware, algorithms, and applications of EEG as a platform that assists in dealing with the risk-prone and complex nature of construction tasks. After summarizing the background of EEG and its research paradigms in different sectors, a comprehensive review of EEG-enabled construction research is provided. First, through a macro-scale review aided by bibliometric analysis a big picture of the research streams is plotted. Second, a micro-scale review is conducted to spot the gaps in the literature. The identified gaps are used to classify the future research directions into theoretical, application, and methodological developments
DYNAMIC MODELING OF CONSTRUCTION PROJECTS' LABOR NEED
No full textHuman resource management is regarded as a fundamental process for effective
labor application to ensure desired performance in the project. The project
goals are met only through human resource management, and the project success relies on it. Construction is a labor-intensive industry that heavily depends on human resources. Moreover, construction projects are naturally complex and dynamics. One of the effective human resource management practices that greatly affects the project workflow and progress is to obtain required labor. System dynamics is applied to model the labor requirements of the construction projects', considering project dynamics. System dynamics is used as a research tool to provide useful insights for human resource planners to ensure that the project will be delivered on time and within the budget. The labor need of the construction projects is investigated based on project progress. A causal loop diagram is obtained, and the Stock-Flow model is developed for estimating the labor need of the construction projects. The proposed model consists of subsystems including the human resources, project workflow, project performance indexes, and policies. The required data are collected for a housing project executed in Iran. Finally, the dynamic model of the labor need of construction projects is built. The model has been validated using standard testing methods of system dynamics models. Simulation results show that the required labor in construction projects has fluctuations over time. These fluctuations affect the labor supplying process. Two policies have been proposed to reduce the fluctuations of the labor need of construction projects including hiring policy at different times and employment of different groups of the labor in terms of experience and skills. Although both policies improve the system, each one of them has different effects on project performance. By using the model, the
required labor based on project progress can be determined. The opportunity can
be given to decision-makers to plan for timely supply of project labor
Applying b-value statistical variation to seismic hazard analysis
Get PDF391-396b-value of the Gutenberg-Richter law is known as a critical parameter in seismic hazard analysis and prediction. b-value is considered as random variable because it is obtained through regression analysis based on available seismic data. Considering the probability distribution of b-value can yields more accurate hazard curves. In this paper, Gutenberg-Richter relation is revised and then applied to PSHA. So, calculating b-value variance, based on bootstrap sampling of the seismic catalog, we attempt to develop a systematic numerical approach for the b-value uncertainty application in probabilistic seismic hazard analysis using normal distribution. This approach illustrates the effects of b-value fluctuations on hazard curve. So considering parameter uncertainty in hazard computations we can reduce epistemic uncertainty and give more rational hazard estimates
Modeling quality management in construction projects
Full text linkThis research presents a dynamic mathematical system for modeling and simulating the quality management process in construction projects. Through sets of cause and effect feedback loops, all factors that internally and externally affect the quality management process are addressed. The proposed system integrates fuzzy logic with system dynamics simulation scheme to consider the uncertainties associated with the model parameters and estimation of the extra cost and time due to quality defects. Quantification of the consequences of the quality failures is performed based on the α-cut representation of fuzzy numbers and interval analysis. The proposed approach is efficient in modeling and analyzing a quality management process which is complex and dynamic in nature and involves various uncertainties. The proposed approach is implemented in a sample real submarine water supply pipe line project in order to evaluate its applicability and performance. The negative impacts resulting from quality failures are simulated. These negative impacts are mitigated by the implementation of alternative solutions
The Less Agents, the More Schedule Reliability: Examination of Single-Point Responsibility Model in Design Management
No full textDespite its importance, little research, has studied schedule reliability from resource management perspective. This paper studies the association between the taskagent relationship and the reliability of project schedule. Four case studies are presented to examine the effect of taskagent relationships. To do so, the tasks are categorized into two groups according to their relationships with agents: single-agent and multi-agent. The groups are then compared in terms of mean lateness, lateness variance, and schedule reliability. To measure the schedule reliability, the formulations are adapted from the production and manufacturing literature to the context of design and construction. The results show that the schedules of single-agent tasks are more reliable than multi-agent tasks. Statistical tests uphold the significance of this difference, especially in design projects, as well as the projects with similar contexts. It is argued that single-agent tasks take advantage of role clarity, autonomy, and KSA (knowledge, skill, abilities) conformity. In addition, in view of promise theory, single-agent tasks are less subject to agents-in-the-middle effect and benefit from locality. The findings are of practical value to consulting firms, especially design team managers who seek to maximize innovation, competency and quality outcome
Fraud Identification of Cow’s Milk in Buffalo’s Milk and It’s Products Using the Polymerase Chain Reaction
No full text
Three stage hybrid encryption of cloud data with penta-layer security for online business users
No full textIntegrating Multi-Agent Decision-Making Tools with Multi-Criteria Decision-Making Methods: A Case Study of Iran’s Political Economy Analysis
No full text
