Achieving Effective Innovation Based On TRIZ Technological Evolution

Organised by: Cranfield UniversityThis paper outlines the conception of effective innovation and discusses the method to achieve it. Effective Innovation is constrained on the path of technological evolution so that the corresponding path must be detected before conceptual design of the product. The process of products technological evolution is a technical developing process that the products approach to Ideal Final Result (IFR). During the process, the sustaining innovation and disruptive innovation carry on alternately. By researching and forecasting potential techniques using TRIZ technological evolution theory, the effective innovation can be achieved finally.Mori Seiki – The Machine Tool Compan

Resonant Excitation of Graphene K-Phonon and Intra-Landau-Level Excitons in Magneto-Optical Spectroscopy

Precise infrared magnetotransmission experiments have been performed in magnetic fields up to 32 T on a series of multilayer epitaxial graphene samples. We observe changes in the spectral features and broadening of the main cyclotron transition when the incoming photon energy is in resonance with the lowest Landau level separation and the energy of a K point optical phonon. We have developed a theory that explains and quantitatively reproduces the frequency and magnetic field dependence of the phenomenon as the absorption of a photon together with the simultaneous creation of an intervalley, intra-Landau-level exciton, and a K phonon.Comment: Main manuscript (5 pages); Supplementary Material (18 pages

Will social media celebrities drive me crazy? Exploring the effects of celebrity endorsement on impulsive buying behavior in social commerce

This study evaluates the influence of social media celebrity endorsements on consumers' impulsive buying behavior in social commerce by extending the signaling theory and commitment-trust theory. A self-managed online questionnaire is designed to collect the data from 295 valid respondents and analyze it using a multi-analytical hybrid structural equation modeling-artificial neural network (ANN). The results reveal that relational switching alternatives and relationship benefits directly contribute to relationship commitment to social media celebrity, whereas shared value and parasocial interaction positively lead to social commerce trust; both relationship commitment and social commerce trust induce consumers' impulsive buying behavior in social commerce. From a theoretical perspective, this study enriches the components of signaling theory and commitment-trust theory, expanding their applicability and transferability in social commerce. Moreover, this study consolidates the theoretical integration, indicating that signaling theory can be considered as an antecedent of commitment-trust theory for triggering consumers' impulsive buying. Methodologically, adopting second-order constructs benefits, this study captures the multidimensionality and complexity of social commerce trust and impulsive buying from the partial least squares-ANN perspectives. In practice, this research provides valuable insights into how to better invite celebrity endorsements and build long-term relationships with customers, as well as offers insights into countries where social commerce is lacking today. That being said, this study is constrained by its cross-sectional research design, conducted in Malaysia. Future research endeavors should consider launching longitudinal, multicountry studies to broaden the applicability of the findings

Multi-Scale Visual Analysis of Trauma Injury

We develop a multi-scale high-fidelity biomechanical and physiologically based modeling tools for trauma (ballistic/impact and blast) injury to brain, lung and spinal cord for resuscitation, treatment planning and design of personnel protection. Several approaches have been used to study blast and ballistic/impact injuries. Dummy containing pressure sensors and synthetic phantoms of human organs have been used to study bomb blast and car crashes. Large animals like pigs also have been equipped with pressure sensors exposed to blast waves. But these methods do not provide anatomically and physiologically, full optimization of body protection design and require animal sacrifice. Anatomy and medical image-based high-fidelity computational modeling can be used to analyze injury mechanisms and to optimize the design of body protection. This paper presents novel approach of coupled computational fluid dynamics and computational structures dynamics to simulate fluid (air, cerebrospinal fluid)–solid (cranium, brain tissue) interaction during ballistic/blast impact. We propose a trauma injury simulation pipeline concept staring from anatomy and medical image-based high-fidelity 3D geometric modeling, extraction of tissue morphology, generation of computational grids, multi-scale biomechanical and physiological simulations, and data visualization

Combining Multi-Criteria Decision Making (MCDM) Methods with Building Information Modelling (BIM): A Review

Integrating building information to support decision-making has been a key challenge in the Architecture, Engineering, and Construction (AEC) industry. The synergy of Building Information Modelling (BIM) and Multi-Criteria Decision Making (MCDM) is expected to improve information integration and decision-making. The aim of this paper is to identify strategies to improve the synergy between MCDM and BIM. From the earliest literature (2009) to the present, this study examines 45 articles combining MCDM with BIM. We find that the five major application domains are sustainability, retrofit, supplier selection, safety, and constructability. Five established strategies for improving the synergy between MCDM and BIM were discussed and can be used as a benchmark for evaluating the application of decision techniques in practice. This study points out gaps of combining MCDM and BIM in the current literature. It also sheds new light into combining MCDM with BIM for practitioners, as to promote integrated decision-making