Y-type Flux-Tube Formation and Gluonic Excitations in Baryons: From QCD to Quark Model

Using SU(3) lattice QCD, we perform the first systematic study for the ground-state three-quark (3Q) potential $V_{\rm 3Q}^{\rm g.s.}$ and the 1st excited-state 3Q potential $V_{\rm 3Q}^{\rm e.s.}$, {\it i.e.}, the energies of the ground state and the 1st excited state of the gluon field in the presence of the static three quarks. From the accurate and thorough calculation for more than 300 different patterns of 3Q systems, the static ground-state 3Q potential $V_{\rm 3Q}^{\rm g.s.}$ is found to be well described by the Coulomb plus Y-type linear potential, {\it i.e.}, Y-Ansatz, within 1%-level deviation. As a clear evidence for Y-Ansatz, Y-type flux-tube formation is actually observed on the lattice in maximally-Abelian projected QCD. For more than 100 patterns of 3Q systems, we calculate the 1st excited-state 3Q potential $V_{\rm 3Q}^{\rm e.s.}$ in quenched lattice QCD, and find the gluonic excitation energy $\Delta E_{\rm 3Q} \equiv V_{\rm 3Q}^{\rm e.s.}-V_{\rm 3Q}^{\rm g.s.}$ to be about 1 GeV. This large gluonic-excitation energy is conjectured to ensure the success of the quark model for the low-lying hadrons even without gluonic excitations.Comment: Talk given at International Conference on Color Confinement and Hadrons in Quantum Chromodynamics - Confinement 2003, RIKEN, Japan, 21-24 Jul 200

An examination of applicability of face recognition sensors in public facilities

Purpose: This study aimed to explore the usability and applicability of face recognition sensors in public spaces to collect customer footfall data, which could then be analysed and evaluated for facility design and planning Methodology: Nine OMRON sensors were provided for the project and installed at five locations in a public facility for three months. The project was carried out by a local consortium with the cooperation of local technology-based Small Medium sized Enterprises (SMEs), business organisations, and a local university. Collected data was analysed using data-mining software to develop a result report with diagrams, and reveal issues and potential for practical application in the future. Findings: It has been found that this technology could be applied for further consumer behavioural analysis, for example, analysing the relationship between product displays and purchasing behaviour, or looking at the link between consumers’ attributes and their buying behaviour. Moreover, the collected data can be further studied to develop a more detailed analysis of the relationships between the data collected from different points of installation. A critical issue found was about how to protect the privacy of the people whose data the sensors collected (i.e., image rights, and other privacy-related issues), which suggests the need for guidelines on ethical data collection and raises questions on how to get agreement from potential participants in the experiment. Implication and limitation: Although it was acknowledged that this project remained at pilot level and would need to expand before more robust implications and recommendations could be developed, the experimental outcome suggests that face recognition sensors have the potential for commercial use. Collecting and analysing customers’ behavioural data can contribute to marketing strategy and planning. The study also discusses the necessity of enhancing business opportunities through open innovation, in this case based on a consortium inviting local technology-oriented SMEs, universities, and other stakeholders to support the local economy. The implications of this study could inspire others to start new businesses and to support the local economy and small enterprises

Pervasive 2D Barcodes for Camera Phone Applications

In a previous study, we evaluated six 2D barcodes using eight criteria for standardization potential: omnidirectional symbol reading, support for low-resolution cameras, reading robustness under different lighting conditions, barcode reading distance, error correction capability, security, support for multiple character sets, and data capacity. We also considered the fidelity of the camera phone\u27s captured image as a metric for gauging reading reliability. Here, we review the six 2D barcodes and then use an additional metric - a first-read rate - to quantitatively verify our earlier results and better gauge reading reliability

Is Gamification a Magic Tool?: Illusion, Remedy, and Future Opportunities in Enhancing Learning Outcomes during and beyond the COVID-19

Gamification in education has been discussed with potential for further implementation at universities; however, practical suggestions concerning which key issues educators need to consider has far not been shared in academia. This study applied a qualitative approach using interview data with 24 students who participated in the business class with games as learning measures. It has found that most of them believed that gamification could be useful in reinforcing key themes and topics after having learnt them through traditional means: They appreciated the games as a supportive measure to ‘glue’ key knowledge to their learning. A significant drawback that they emphasised was that taking notes is not easy while they are involved in games, which made them unconfident and uncertain about the learning outcome. As a result, a conceptual framework for pedagogy stakeholders was proposed for further discussion of how to design a gamification-based curriculum effectively

Development Of A Novel Finder Pattern For Effective Color 2D-Barcode Detection

With a camera mobile phone, which has become a must-have device, 2D-barcode works as an interface to bridge the physical and digital world. As the notion of ubiquitous computing has permeated, developing a new 2D-barcode and its applications has been a growing trend worldwide. A 2D-barcode symbol consists of two broad areas: data area and guide area. The components of the latter is collectively called finder pattern and used in locating the 2D-barcode symbol. The failure of finding the target symbol prevents a barcode reader from successfully decoding the barcode. Hence, designing a functional finder pattern is one of the key for improving the robustness of barcode reading, and thus, the entire 2D-barcode system. We have designed a novel finder pattern integrated with a color 2D-barcode for camera mobile phone applications. Through the development and evaluation of the finder pattern for effective color 2D-barcode detection, this paper discusses keys to improve the functionality and reliability of finder patterns, which should be kept in mind when designing a finder pattern for any 2D-barcode symbol