Mixed Weyl Symbol Calculus and Spectral Line Shape Theory

A new and computationally viable full quantum version of line shape theory is obtained in terms of a mixed Weyl symbol calculus. The basic ingredient in the collision--broadened line shape theory is the time dependent dipole autocorrelation function of the radiator-perturber system. The observed spectral intensity is the Fourier transform of this correlation function. A modified form of the Wigner--Weyl isomorphism between quantum operators and phase space functions (Weyl symbols) is introduced in order to describe the quantum structure of this system. This modification uses a partial Wigner transform in which the radiator-perturber relative motion degrees of freedom are transformed into a phase space dependence, while operators associated with the internal molecular degrees of freedom are kept in their original Hilbert space form. The result of this partial Wigner transform is called a mixed Weyl symbol. The star product, Moyal bracket and asymptotic expansions native to the mixed Weyl symbol calculus are determined. The correlation function is represented as the phase space integral of the product of two mixed symbols: one corresponding to the initial configuration of the system, the other being its time evolving dynamical value. There are, in this approach, two semiclassical expansions -- one associated with the perturber scattering process, the other with the mixed symbol star product. These approximations are used in combination to obtain representations of the autocorrelation that are sufficiently simple to allow numerical calculation. The leading O(\hbar^0) approximation recovers the standard classical path approximation for line shapes. The higher order O(\hbar^1) corrections arise from the noncommutative nature of the star product.Comment: 26 pages, LaTeX 2.09, 1 eps figure, submitted to 'J. Phys. B.

Cost minimization for unstable concurrent products in multi-stage production line using queueing analysis

This research and resulting contribution are results of Assumption University of Thailand. The university partially supports financially the publication.Purpose: The paper copes with the queueing theory for evaluating a muti-stage production line process with concurrent goods. The intention of this article is to evaluate the efficiency of products assembly in the production line. Design/Methodology/Approach: To elevate the efficiency of the assembly line it is required to control the performance of individual stations. The arrival process of concurrent products is piled up before flowing to each station. All experiments are based on queueing network analysis. Findings: The performance analysis for unstable concurrent sub-items in the production line is discussed. The proposed analysis is based on the improvement of the total sub-production time by lessening the queue time in each station. Practical implications: The collected data are number of workers, incoming and outgoing sub-products, throughput rate, and individual station processing time. The front loading place unpacks product items into concurrent sub-items by an operator and automatically sorts them by RFID tag or bar code identifiers. Experiments of the work based on simulation are compared and validated with results from real approximation. Originality/Value: It is an alternative improvement to increase the efficiency of the operation in each station with minimum costs.peer-reviewe

Putting Process and Product Conceptions of Natural Selection and Genetic Drift to the Test

This paper argues for two claims. First, despite a persistent appearance to the contrary in the philosophy of biology literature, the question of whether natural selection and genetic drift should be defined as processes or as the products (or outcomes) of those processes is independent of the question of whether natural selection and genetic drift are causally efficacious (the debate between the 'causalist' and 'statisticalist' interpretations of evolutionary theory). Second, there exist biological cases – cases which are quite prevalent in natural populations – that can be used to drive apart process and product notions of selection and drift, and hence which could provide evidence useful in determining which of these two classes of definitions is in line with biological practice. Two cases presented here weigh in favor of process definitions, though this does not suffice to resolve the question

Conceptual Spaces in Object-Oriented Framework

The aim of this paper is to show that the middle level of mental representations in a conceptual spaces framework is consistent with the OOP paradigm. We argue that conceptual spaces framework together with vague prototype theory of categorization appears to be the most suitable solution for modeling the cognitive apparatus of humans, and that the OOP paradigm can be easily and intuitively reconciled with this framework. First, we show that the prototypebased OOP approach is consistent with Gärdenfors’ model in terms of structural coherence. Second, we argue that the product of cloning process in a prototype-based model is in line with the structure of categories in Gärdenfors’ proposal. Finally, in order to make the fuzzy object-oriented model consistent with conceptual space, we demonstrate how to define membership function in a more cognitive manner, i.e. in terms of similarity to prototype

INSTITUTIONAL COMMUNICATION FACILITATORS FOR THE REDUCTION OF EXPERIENCE PRODUCTS UNCERTAINTY IN E-MARKETPLACES – THE INITIAL INTERACTION PERSPECTIVE

The negative influence of consumer perceived product uncertainty on buying intention has long been found and studied by marketing researchers and practitioners. Identifying uncertainty mitigators hence has drawn extensive attention from traditional and digital market researchers. This study extends this line of study by exploring the effect of various e-commerce website facilities from a novel perspective – the communication theory view. Drawing on the Initial Interaction Theory (IIT) from communication literature, we view buyer-seller interactions as an initial communication process that aims to acquire information in order to reduce description uncertainty and performance uncertainty. In line with IIT, we propose a framework that incorporates perceived effectiveness of product descriptions, perceived media richness, and perceived effectiveness of feedback systems as the facilitators of passive, interac-tive, and active communication strategies in order to reduce product uncertainty. Research hypotheses are tested based on a survey of 325 subjects. Our findings confirm the saliency of these facilitators in mitigating buyer perceived uncertainty towards tourism products. Theoretical and practical implica-tions of the findings are discussed

Sketching is more than making correct drawings

Sketching in the context of a design process is not a goal in itself, but can be considered as a tool to\ud make better designs. Sketching as a design tool has several useful effects as: ordering your thoughts,\ud better understanding of difficult shapes, functioning as a communication tool, and providing an\ud iterative way of developing shapes. In our bachelor-curriculum Industrial Design Engineering we\ud developed a series of courses that addresses these effects in particular.\ud The courses are Sketching and concept drawing (SCT), Product Presentation Drawing (PPT) and\ud Applied sketching skills (TTV). This line of courses is built on three pillars:\ud - Learning to sketch; Theory, speed and control of the materials.\ud - Learning from sketching; Develop a better insight in complex 3D shapes (Figure 1).\ud - Sketching as a design tool; Communication, ordering your thoughts, iterative working.\ud As a result we see that students who have finished the courses instinctively start sketching in an\ud iterative manner, use sketching as a source of inspiration and learn that the whole process of iterative\ud sketching helps in structuring, developing and communicating the design process. In this way the\ud students become better sketchers and better designer

Statistical pattern modeling in vision-based quality control systems

Machine vision technology improves productivity and quality management and provides a competitive advantage to industries that employ this technology. In this article, visual inspection and quality control theory are combined to develop a robust inspection system with manufacturing applications. The inspection process might be defined as the one used to determine if a given product fulfills a priori specifications, which are the quality standard. In the case of visual inspection, these specifications include the absence of defects, such as lack (or excess) of material, homogeneous visual aspect, required color, predetermined texture, etc. The characterization of the visual aspect of metallic surfaces is studied using quality control chars, which are a graphical technique used to compare on-line capabilities of a product with respect to these specifications. Original algorithms are proposed for implementation in automated visual inspection applications with on-line execution requirements. The proposed artificial vision method is a hybrid between the two usual methods of pattern comparison and theoretical decision. It incorporates quality control theory to statistically model the pattern for defect-free products. Specifically, individual control charts with 6-sigma limits are set so the inspection error is minimized. Experimental studies with metallic surfaces help demonstrate the efficacy and robustness of the proposed methodology.Publicad

In-PREP: a new learning design framework and methodology applied to a relational care training intervention for healthcare assistants

BACKGROUND: 'Older People's Shoes' is a training intervention designed for healthcare assistants (HCAs) to improve the relational care of older people in hospital. The intervention formed part of a broader evaluation, in this paper we describe its development from a learning design and methodological perspective. METHODS: Learning theory and an instructional design model were key components of the In-PREP (Input, Process, Review and Evaluation, Product) development methodology used in the design of the 'Older People's Shoes' training intervention to improve the delivery of relational care by front-line hospital staff. An expert panel, current evidence, and pedagogical theory were used to co-design a training programme tailored to a challenging work environment and taking account of trainees' diverse educational experience. Peer review and process evaluation were built into the development model. RESULTS: In-PREP provided a methodological scaffold for producing evidence-based, peer-reviewed, co-designed training. The product, 'Older People's Shoes', involved a one-day Train the Trainers event, followed by delivery of a two-day, face-to-face training programme by the trainers, with accompanying handbooks underpinned by a range of digital resources. Evaluation found the approach met learner needs, was applicable in practice and won approval from trainers. DISCUSSION: In-PREP enables high quality learning content, alignment with learner needs and a product that is relevant, practical and straightforward to implement

The Development of Hybrid Process Control Systems For Fluidized Bed Pellet Coating Processes

The conventional basic control for pharmaceutical batch processes has several drawbacks. The basic control often uses constant process settings discovered by trial and error. The rigid process operation provides limited process understanding and forgoes the opportunities of process optimization. Product quality attributes are measured by the low efficient off-line tests, therefore these cannot be used to monitor and inform the process to make appropriate adjustments. Frequent reprocessing and batch failures are possible consequences if the process is not under effective control. These issues raise serious concerns of the process capability of a pharmaceutical manufacturing process. An alternative process control strategy is perceived as a logical way to improve the process capability. To demonstrate the strategy, a hybrid control system is proposed in this work. A challenging aqueous drug layering process, which had a batch failure rate of 30% when operated using basic control, was investigated as a model system to develop and demonstrate the hybrid control system. The hybrid control consisted of process manipulation, monitoring and optimization. First principle control was developed to manipulate the process. It used a theory of environmental equivalency to regulate a consistent drying rate for the drug layering process. The process manipulation method successfully eliminated the batch failures previously encountered in the basic control approach. Process monitoring was achieved by building an empirical analytical model using in-line Near-Infrared spectroscopy. The model allowed real time quantitative analysis of drug layered content and was able to determine the endpoint of the process. It achieved quality assurance without relying on the end product tests. Process optimization was accomplished by discovering optimum process settings in an operation space. The operation space was constructed using edge of failure analysis on a design space. It provided setpoints with higher confidence to meet the specifications. The integration of the control elements enabled a complete hybrid control system. The results showed the process capability of the drug layering process was significantly improved by using the hybrid control. The effectiveness was substantiated by statistical evidence of the process capability indices