To develop an efficient variable speed compressor motor system

This research presents a proposed new method of improving the energy efficiency of a Variable Speed Drive (VSD) for induction motors. The principles of VSD are reviewed with emphasis on the efficiency and power losses associated with the operation of the variable speed compressor motor drive, particularly at low speed operation.The efficiency of induction motor when operated at rated speed and load torque is high. However at low load operation, application of the induction motor at rated flux will cause the iron losses to increase excessively, hence its efficiency will reduce dramatically. To improve this efficiency, it is essential to obtain the flux level that minimizes the total motor losses. This technique is known as an efficiency or energy optimization control method. In practice, typical of the compressor load does not require high dynamic response, therefore improvement of the efficiency optimization control that is proposed in this research is based on scalar control model.In this research, development of a new neural network controller for efficiency optimization control is proposed. The controller is designed to generate both voltage and frequency reference signals imultaneously. To achieve a robust controller from variation of motor parameters, a real-time or on-line learning algorithm based on a second order optimization Levenberg-Marquardt is employed. The simulation of the proposed controller for variable speed compressor is presented. The results obtained clearly show that the efficiency at low speed is significant increased. Besides that the speed of the motor can be maintained. Furthermore, the controller is also robust to the motor parameters variation. The simulation results are also verified by experiment

Transformational leadership and innovation at the Lebanese banking industry

Purpose: Transformational leadership (TL) has been recognized as one of the most important factor influencing innovation. It is argued that this style plays an essential role in developing the process, structure and climate for organizations to become innovative. This research aims to examine the impact of TL on two aspects of innovation namely product and process innovation. Design/Methodology/Approach: The quantitative and explanatory analysis was taken by using the Structural equations modeling (SEM) with AMOS 20 to examine the relationship between TL and innovation. Research data were collected through a survey method. The sample result was determined by the probability stratified sampling technique of about 310 employees at 27 banks in Lebanon. Findings: The findings confirmed the importance of TL in enhancing innovation in banking sector. The main implication of the research highlights that individualized consideration is the most important predictor of product and process innovation followed by, inspirational motivation and idealized influence, respectively, whereas, intellectual stimulation has insignificant influence on product and process innovation. Practical Implications: Findings point to how transformational style of leadership produce better outcomes for the banks by mobilizing employees to engage in innovative products and processes. Originality/Value: These findings extends the understanding of the processes through which transformational styles of leadership stimulate innovation, and also highlight the benefits gained by cultivating more transformational styles of leadership to generate more innovative outcomes.peer-reviewe

The effect of transformational leadership on innovation : evidence from Lebanese banks

Purpose: Transformational leadership (TL) has been recognized as one of the most important factor influencing innovation. It is argued that this style plays an essential role in developing the process, structure and climate for organizations to become innovative. This research aims to examine the impact of TL on two aspects of innovation namely product and process innovation. Design/Methodology/Approach: The quantitative and explanatory analysis was taken by using the Structural equations modeling (SEM) with AMOS 20 to examine the relationship between TL and innovation. Research data were collected through a survey method. The sample result was determined by the probability stratified sampling technique of about 310 employees at 27 banks in Lebanon. Findings: The findings confirmed the importance of TL in enhancing innovation in banking sector. The main implication of the research highlights that individualized consideration is the most important predictor of product and process innovation followed by, inspirational motivation and idealized influence, respectively, whereas, intellectual stimulation has insignificant influence on product and process innovation. Practical Implications Findings point to how transformational style of leadership produce better outcomes for the banks by mobilizing employees to engage in innovative products and processes. Originality/Value: These findings extends the understanding of the processes through which transformational styles of leadership stimulate innovation, and also highlight the benefits gained by cultivating more transformational styles of leadership to generate more innovative outcomes.peer-reviewe

Investigations on electromagnetic noises and interactions in electronic architectures : a tutorial case on a mobile system

Electromagnetic interactions become critic in embedded and smart electronic structures. The increase of electronic performances confined in a finite volume or support for mobile applications defines new electromagnetic environment and compatibility configurations (EMC). With canonical demonstrators developed for tutorials and EMC experiences, this paper present basic principles and experimental techniques to investigate and control these severe interferences. Some issues are reviewed to present actual and future scientific challenges for EMC at electronic circuit level

Explaining Reform Deadlocks

Countries are often slow to adjust their economic structures to new necessities although this reform reluctance is costly in terms of growth and employment. This paper analyses the relevant factors that block or foster economic reforms. Theoretical considerations show that there are at least three classes of potentially relevant factors: the objective need for reforms, political-economic issues and factors associated with limited rationality or rational ignorance. In the empirical analysis, a reform event is quantified as a significant change of the Economic Freedom of the World indicator within a five-year-period. This allows to run probit estimations for a large country panel starting in the 1970s where the probability of reform is explained by a number of proxies covering all three classes of potential factors. The results suggest that the initial extent of economic freedom and growth performance are empirically relevant factors. Furthermore, countries with an ageing population appear to behave less reform friendly. --economic policy reforms,economic freedom,reform resistance,limited rationality

The Knowledge Application and Utilization Framework Applied to Defense COTS: A Research Synthesis for Outsourced Innovation

Purpose -- Militaries of developing nations face increasing budget pressures, high operations tempo, a blitzing pace of technology, and adversaries that often meet or beat government capabilities using commercial off-the-shelf (COTS) technologies. The adoption of COTS products into defense acquisitions has been offered to help meet these challenges by essentially outsourcing new product development and innovation. This research summarizes extant research to develop a framework for managing the innovative and knowledge flows. Design/Methodology/Approach – A literature review of 62 sources was conducted with the objectives of identifying antecedents (barriers and facilitators) and consequences of COTS adoption. Findings – The DoD COTS literature predominantly consists of industry case studies, and there’s a strong need for further academically rigorous study. Extant rigorous research implicates the importance of the role of knowledge management to government innovative thinking that relies heavily on commercial suppliers. Research Limitations/Implications – Extant academically rigorous studies tend to depend on measures derived from work in information systems research, relying on user satisfaction as the outcome. Our findings indicate that user satisfaction has no relationship to COTS success; technically complex governmental purchases may be too distant from users or may have socio-economic goals that supersede user satisfaction. The knowledge acquisition and utilization framework worked well to explain the innovative process in COTS. Practical Implications – Where past research in the commercial context found technological knowledge to outweigh market knowledge in terms of importance, our research found the opposite. Managers either in government or marketing to government should be aware of the importance of market knowledge for defense COTS innovation, especially for commercial companies that work as system integrators. Originality/Value – From the literature emerged a framework of COTS product usage and a scale to measure COTS product appropriateness that should help to guide COTS product adoption decisions and to help manage COTS product implementations ex post

Emerging Challenges and Opportunities in Infectious Disease Epidemiology.

Much of the intellectual tradition of modern epidemiology stems from efforts to understand and combat chronic diseases persisting through the 20th century epidemiologic transition of countries such as the United States and United Kingdom. After decades of relative obscurity, infectious disease epidemiology has undergone an intellectual rebirth in recent years amid increasing recognition of the threat posed by both new and familiar pathogens. Here, we review the emerging coalescence of infectious disease epidemiology around a core set of study designs and statistical methods bearing little resemblance to the chronic disease epidemiology toolkit. We offer our outlook on challenges and opportunities facing the field, including the integration of novel molecular and digital information sources into disease surveillance, the assimilation of such data into models of pathogen spread, and the increasing contribution of models to public health practice. We next consider emerging paradigms in causal inference for infectious diseases, ranging from approaches to evaluating vaccines and antimicrobial therapies to the task of ascribing clinical syndromes to etiologic microorganisms, an age-old problem transformed by our increasing ability to characterize human-associated microbiota. These areas represent an increasingly important component of epidemiology training programs for future generations of researchers and practitioners

The N2-P3 complex of the evoked potential and human performance

The N2-P3 complex and other endogenous components of human evoked potential provide a set of tools for the investigation of human perceptual and cognitive processes. These multidimensional measures of central nervous system bioelectrical activity respond to a variety of environmental and internal factors which have been experimentally characterized. Their application to the analysis of human performance in naturalistic task environments is just beginning. Converging evidence suggests that the N2-P3 complex reflects processes of stimulus evaluation, perceptual resource allocation, and decision making that proceed in parallel, rather than in series, with response generation. Utilization of these EP components may provide insights into the central nervous system mechanisms modulating task performance unavailable from behavioral measures alone. The sensitivity of the N2-P3 complex to neuropathology, psychopathology, and pharmacological manipulation suggests that these components might provide sensitive markers for the effects of environmental stressors on the human central nervous system