자연주의적 탐구조사(Naturalistic Inquiry)

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Social Network Analysis

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

The construction industry is characterized by a relatively high injury and illness rate compared to other industries. Within the construction industry, the highway construction and maintenance sector is one of the most dangerous. To improve safety in this sector, proactive methods of safety improvement and reliable risk data are needed. The safety risk quantification is the first step towards integrating safety data into design and planning. To enhance the current preconstruction safety practices, safety risks of highway construction and maintenance tasks were quantified and a decision support system was developed and tested that integrates safety risk data into the project schedules. Relative safety risks were quantified for 25 common highway construction tasks using the Delphi method. To ensure valid and reliable results, experts were selected according to rigorous requirements and multiple controls were employed to decrease cognitive biases. The data were incorporated into a decision support system cal...

Integration of safety risk data with highway construction schedules

Exploring fundamental causes of safety challenges faced by Hispanic construction workers in the US using photovoice

Enhancing Construction Safety Monitoring through the Application of Internet of Things and Wearable Sensing Devices: A Review

Preventing injuries to workers is essential to effective organizational management in the construction industry. It is generally accepted that achieving a high level of safety performance requires the implementation of an effective safety program. In an effort to provide guidance for the development of an effective safety program, previous studies have focused on identifying highly effective injury prevention strategies and quantifying their individual impacts on safety performance. Despite these advancements in knowledge, the synergistic interrelationships among highly effective injury prevention strategies remain unknown. The objective of this paper is to describe the results of a Delphi study that quantified the interrelationships (i.e., pairwise cross impacts) of highly effective and commonly implemented injury prevention strategies. Analysis of the data indicates that the site safety manager, worker participation and involvement, a site-specific safety plan, and upper management support and commitmen...

Interrelationships among Highly Effective Construction Injury Prevention Strategies

Poor hazard recognition skills and high tolerance for risk are well-known contributing factors to high fatality rates plaguing the construction industry. The prevailing safety training tech...

Matthew R. Hallowell

Papers

Integration of safety risk data with highway construction schedules

Exploring fundamental causes of safety challenges faced by Hispanic construction workers in the US using photovoice

Enhancing Construction Safety Monitoring through the Application of Internet of Things and Wearable Sensing Devices: A Review

Interrelationships among Highly Effective Construction Injury Prevention Strategies

Emotional Engagement in Safety Training: Impact of Naturalistic Injury Simulations on the Emotional State of Construction Workers