The Emotional Impact of Casino Servicescape

This study investigates the emotional impact of casino servicescape among Chinese table games gambling participants, and its impact on their approach/avoidance behavior. Data on casino servicescape, pleasure, arousal and dominance emotion (PAD) and approach/avoidance responses were obtained from 158 Chinese gamblers in Macau and analyzed using path analysis. The results of this study suggest that aesthetic factors within servicescape significantly influence the customers\u27 perception of the overall servicescape quality. While gambling facilitating factors within servicescape have significant impact on PAD emotions, they are not significant components of the perceived overall servicescape quality. Both overall servicescape quality and PAD emotions have significant positive influence on approach responses. The current study shows that besides inducing pleasure (satisfaction) emotion in customers, a successful strategy would include arousal and dominance emotions when designing and managing the casino servicescape. Casino operators could benefit from designing facilities that can make a customer feel satisfied, excited, and in control

FACE RECOGNITION MENGGUNAKAN METODE LINEAR DISCRIMINANT ANALYSIS (LDA)

Paper ini membahas sistem pengenalan image wajah dengan 2 metode ekstraksi feature statistik yaitu PCA (Principal Components Analysis) dan LDA (Linear Discriminant Analysis). Pemilihan metode ekstraksi feature yang tepat dan efisien sangat menentukan keberhasilan dari sistem pengenalan secara keseluruhan. Sistem dibangun menggunakan platform PC dengan penulisan program komputer menggunakan Delphi

Virtual assembly rapid prototyping of near net shapes

Virtual reality (VR) provides another dimension to many engineering applications. Its immersive and interactive nature allows an intuitive approach to study both cognitive activities and performance evaluation. Market competitiveness means having products meet form, fit and function quickly. Rapid Prototyping and Manufacturing (RP&M) technologies are increasingly being applied to produce functional prototypes and the direct manufacturing of small components. Despite its flexibility, these systems have common drawbacks such as slow build rates, a limited number of build axes (typically one) and the need for post processing. This paper presents a Virtual Assembly Rapid Prototyping (VARP) project which involves evaluating cognitive activities in assembly tasks based on the adoption of immersive virtual reality along with a novel non-layered rapid prototyping for near net shape (NNS) manufacturing of components. It is envisaged that this integrated project will facilitate a better understanding of design for manufacture and assembly by utilising equivalent scale digital and physical prototyping in one rapid prototyping system. The state of the art of the VARP project is also presented in this paper

Virtual bloXing - assembly rapid prototyping for near net shapes

Virtual reality (VR) provides another dimension to many engineering applications. Its immersive and interactive nature allows an intuitive approach to study both cognitive activities and performance evaluation. Market competitiveness means having products meet form, fit and function quickly. Rapid Prototyping and Manufacturing (RP&M) technologies are increasingly being applied to produce functional prototypes and the direct manufacturing of small components. Despite its flexibility, these systems have common drawbacks such as slow build rates, a limited number of build axes (typically one) and the need for post processing. This paper presents a Virtual Assembly Rapid Prototyping (VARP) project which involves evaluating cognitive activities in assembly tasks based on the adoption of immersive virtual reality along with a novel nonlayered rapid prototyping for near net shape (NNS) manufacturing of components. It is envisaged that this integrated project will facilitate a better understanding of design for manufacture and assembly by utilising equivalent scale digital and physical prototyping in one rapid prototyping system. The state of the art of the VARP project is also presented in this paper

FACE RECOGNITION MENGGT]NAKAN METODE LINEAR DISCRIMINAIIT ANALYSIS (LDA)

Paper ini membahas sistem pengenalan image wajah dengan 2 metode ekstraksi feature statistik yaitu PCA dan LDA. Pemilihan Metode ektrsksi feature yang tepat dan efisien sangat menentukan keberhasilan dari sistem pengenalan secara keseluruha

Analysis of heat transfer during glass forming

Α thermal model is described which is intended to simulate internal heat transfer in glass being cooled by the mold and plunger after pressing. The heat transfer analysis in glass accounts for the spectral nature of radiation, the dependence of the thermophysical properties of glass on temperature and the contact heat transfer between mold and glass as well as plunger and glass during and after pressing. Heat exchange between glass and mold as well as plunger across a very small gap by contact conduction and thermal radiation are also accounted for. To assess the utility of the Rosseland diffusion approximation for radiative transfer, the results are compared with those based on rigorous formulation of radiative transfer. Numerical solutions have been obtained for typical condidons simulating symmetric and asymmetric cooling as well as cyclic operation, and the results are presented and discussed. During the dwell time thermal contact conduction between the glass and the mold as well as plunger is the dominant heat extraction mechanism from the glass. Results show that radiation from the surface of the glass plays a relatively small part in the heat extraction process, but radiation from the interior of the glass is much more significant but less important than thermal contact conduction

Role of ABCB1 C3435T variant in response to antiepileptic drugs in epilepsy: a review

Over-expression of P-glycoprotein (P-gp), the encoded product of the ATP-binding cassette (ABC), sub-family B, member 1 (ABCB1/MDR1) gene, plays an important role in mediating multidrug resistance to antiepileptic drugs (AEDs) in about 30% of patients with epilepsy. Genetic variation may in part explain inter-individual differences in phenotype-genotype relationships in the pharmacological response of epilepsy patients to AEDs. The synonymous C3435T polymorphism is one of the most common allelic variants in the ABCB1/MDR1 gene, proposed in the causation of refractory epilepsy. Many studies have shown the relationship between C3435T polymorphism and refractoriness to AEDs in epilepsy. However, there is controversy between the findings of various studies, that is, whether ABCB1/MDR1 C3435T gene polymorphism is associated with response to AEDs in epilepsy patients. This review provides a background and discusses the results of investigations on possible confounding factors affecting the interpretation and implementation of association studies in this area

Indonesian Stock Prediction using Support Vector Machine (SVM)

This project is part of developing software to provide predictive information technology-based services artificial intelligence (Machine Intelligence) or Machine Learning that will be utilized in the money market community. The prediction method used in this early stages uses the combination of Gaussian Mixture Model and Support Vector Machine with Python programming. The system predicts the price of Astra International (stock code: ASII.JK) stock data. The data used was taken during 17 yr period of January 2000 until September 2017. Some data was used for training/modeling (80 % of data) and the remainder (20 %) was used for testing. An integrated model comprising Gaussian Mixture Model and Support Vector Machine system has been tested to predict stock market of ASII.JK for l d in advance. This model has been compared with the Market Cummulative Return. From the results, it is depicts that the Gaussian Mixture Model-Support Vector Machine based stock predicted model, offers significant improvement over the compared models resulting sharpe ratio of 3.22