Achieving zero accidents—A strategic framework for continuous safety improvement in the construction industry

In the U.S., construction accidents remain a significant economic and social problem. Despite recent improvement, the Construction industry, generally, has lagged behind other industries in implementing safety as a total management process for achieving zero accidents and developing a high-performance safety culture. One aspect of this total approach to safety that has frustrated the construction industry the most has been “measurement”, which involves identifying and quantifying the factors that critically influence safe work behaviors. The basic problem attributed is the difficulty in assessing what to measure and how to measure it—particularly the intangible aspects of safety. Without measurement, the notion of continuous improvement is hard to follow. This research was undertaken to develop a strategic framework for the measurement and continuous improvement of total safety in order to achieve and sustain the goal of zero accidents, while improving the quality, productivity and the competitiveness of the construction industry as it moves forward. The research based itself on an integral model of total safety that allowed decomposition of safety into interior and exterior characteristics using a multiattribute analysis technique. Statistical relationships between total safety dimensions and safety performance (measured by safe work behavior) were revealed through a series of latent variables (factors) that describe the total safety environment of a construction organization. A structural equation model (SEM) was estimated for the latent variables to quantify relationships among them and between these total safety determinants and safety performance of a construction organization. The developed SEM constituted a strategic framework for identifying, measuring, and continuously improving safety as a total concern for achieving and sustaining the goal of zero accidents.

Island diasporas: Perceptions of Indo-Caribbean protégés regarding the effects of their cross-cultural mentoring experiences in the United States

Mentoring is defined as an "intense caring relationship in which persons with more experience work with less experienced persons to promote both professional and personal development" (Caffarella, 1992, p. 38). It is "a powerful emotional, and passionate interaction whereby the mentor and protégé experience...intellectual growth and development" (Galbraith & Zelenak, 1991, p. 126). In cross-cultural mentoring, mentors and protégés from different cultures confront social and cultural identities, goals, expectations, values, and beliefs (Cross & Lincoln, 2005) to "achieve a higher level of potency in education and society" (Mullen, 2005, p. 6). Cross-cultural mentoring research explores attitudes, behaviors, linguistics and motivators of the more visible racial and ethnic groups in the U.S. (Elmer, 1986, Ulmer, 2008). The cross-cultural mentoring experiences of Indo-Caribbeans in the U.S. are obscured from the research despite their rich socio-historic culture. The purpose of this phenomenological study was to explore the perceptions of Indo-Caribbean protégés regarding the effects of their cross-cultural mentoring experiences in the United States. Phenomenology is "the systematic attempt to uncover and describe...the internal meaning structures, of lived experience [by studying the] particulars or instances as they are encountered" (Van Manen, 1990, p. 10). Criterion and snowball sampling were used to recruit 15 participants. A semi-structured interview guide was used to gather data and Creswell's (2007) simplified version of Moustakas's (1994) Modification of the Stevick-Colaizzi-Keen Method of Analysis of Phenomenological Data was used to analyze the data. Three themes emerged: (a) "Sitting at the feet of gurus" taught protégés how to accept guidance, (b) Guru-Shishya: Learning and Discipleship, ways that protégés perceived mentors' guidance related to work, skill acquisition, and social or emotional support, and (c) Samavartan sanskar: Building Coherence, helped protégés understand, manage and find meaning. Protégés' goals and professional expectations determined what they wanted from cross-cultural mentoring relationships and what they were willing to endure within those relationships. Since participants valued achievement and continuous improvement, mentor support was integral to making meaning and developing a sense of coherence in their lives. Implications regarding cross-cultural mentoring relationships together with recommendations for future research conclude the study.

Real-time scheduling of embedded applications on multi-core platforms

For the past several decades, we have experienced the tremendous growth, in both scale and scope, of real-time embedded systems, thanks largely to the advances in IC technology. However, the traditional approach to get performance boost by increasing CPU frequency has been a way of past. Researchers from both industry and academia are turning their focus to multi-core architectures for continuous improvement of computing performance. In our research, we seek to develop efficient scheduling algorithms and analysis methods in the design of real-time embedded systems on multi-core platforms. Real-time systems are the ones with the response time as critical as the logical correctness of computational results. In addition, a variety of stringent constraints such as power/energy consumption, peak temperature and reliability are also imposed to these systems. Therefore, real-time scheduling plays a critical role in design of such computing systems at the system level. We started our research by addressing timing constraints for real-time applications on multi-core platforms, and developed both partitioned and semi-partitioned scheduling algorithms to schedule fixed priority, periodic, and hard real-time tasks on multi-core platforms. Then we extended our research by taking temperature constraints into consideration. We developed a closed-form solution to capture temperature dynamics for a given periodic voltage schedule on multi-core platforms, and also developed three methods to check the feasibility of a periodic real-time schedule under peak temperature constraint. We further extended our research by incorporating the power/energy constraint with thermal awareness into our research problem. We investigated the energy estimation problem on multi-core platforms, and developed a computation efficient method to calculate the energy consumption for a given voltage schedule on a multi-core platform. In this dissertation, we present our research in details and demonstrate the effectiveness and efficiency of our approaches with extensive experimental results.

Directing the Continuous Quality Improvement Effort

The continuous quality improvement (CQI) efforts at the Lodge and Conference Center at Grand National, Opelika, Alabama, involve a range of strategies, policies, and practices enacted by the current management team to lift the service game and enhance the overall quality and value for money appeal of the guest experience. The authors report findings of a recently conducted study on this issue.

Continuous property measurement techniques and physics based mathematical model for frost growth control

The development of a new set of frost property measurement techniques to be used in the control of frost growth and defrosting processes in refrigeration systems was investigated. Holographic interferometry and infrared thermometry were used to measure the temperature of the frost-air interface, while a beam element load sensor was used to obtain the weight of a deposited frost layer. The proposed measurement techniques were tested for the cases of natural and forced convection, and the characteristic charts were obtained for a set of operational conditions. ^ An improvement of existing frost growth mathematical models was also investigated. The early stage of frost nucleation was commonly not considered in these models and instead an initial value of layer thickness and porosity was regularly assumed. A nucleation model to obtain the droplet diameter and surface porosity at the end of the early frosting period was developed. The drop-wise early condensation in a cold flat plate under natural convection to a hot (room temperature) and humid air was modeled. A nucleation rate was found, and the relation of heat to mass transfer (Lewis number) was obtained. It was found that the Lewis number was much smaller than unity, which is the standard value usually assumed for most frosting numerical models. The nucleation model was validated against available experimental data for the early nucleation and full growth stages of the frosting process. ^ The combination of frost top temperature and weight variation signals can now be used to control the defrosting timing and the developed early nucleation model can now be used to simulate the entire process of frost growth in any surface material. ^