A Framework of Cloud and AI based Intelligent Hotel

In the past 10 years, the hospitality industry\u27s discussions on cloud technology have been ongoing to rise, but they had been stuck in the stage of paper talks, and there were no substantive action. In view of the huge potential of the intelligent hospitality industry market, and the related academic research literatures about the virtualized cloud architecture, AI technology application and intelligent virtual housekeeper system among in this industry is still relatively few. Therefore, I selected the industry success case led by Taiwan\u27s Ministry of Science and Technology as a case study for this research, besides, quantified the system\u27s trial operation phase, relevant operational performance results, as the focus of this intelligent hotel case implementation effectiveness evaluation

Constructing the Smart Hotel Architecture – A Case Study in Taiwan

A smart hotel is an intelligent hotel with a range of information technologies working together to let the customers have an honorable and convenient vacation environment. It allows customers to have a profound image about not only the hotel, but also the city and the country. Furthermore, it can increase the customer loyalty and repurchase rate as well. Thus, developing a smart hotel is critical for the hospitality industry in practice. This research presents a case study of a new five star intelligent hotel- Fleur de Chine Hotel at Sun Moon Lake in Taiwan. It describes how they built their digital hotel and virtual housekeeper service platform. Through the networked facilities and integrated information systems, people could get relevant information easily and efficiently. In addition, this smart system could provide hotel customers with the housekeeper service similar to a very important person (VIP) room or a presidential suite

Corporate Governance and Earnings Management in Taiwan: A Quantile Regression Approach

This study examines the effect of family ownership and board independence on earnings management using quantile regression. Based on a large sample of Taiwanese companies, our results show that the effects of family ownership and board independence on earnings management differ across quantiles. Higher family ownership and greater proportion of independent directors affect earnings management positively and negatively respectively for firms in the lower quantile, but not in the higher quantile. Our findings can reconcile the conflicting predictions by the agency and stewardship theories about the effectiveness of family ownership and board independence on earnings management, with implications for regulators

Using Hybrid Angle/Distance Information for Distributed Topology Control in Vehicular Sensor Networks

In a vehicular sensor network (VSN), the key design issue is how to organize vehicles effectively, such that the local network topology can be stabilized quickly. In this work, each vehicle with on-board sensors can be considered as a local controller associated with a group of communication members. In order to balance the load among the nodes and govern the local topology change, a group formation scheme using localized criteria is implemented. The proposed distributed topology control method focuses on reducing the rate of group member change and avoiding the unnecessary information exchange. Two major phases are sequentially applied to choose the group members of each vehicle using hybrid angle/distance information. The operation of Phase I is based on the concept of the cone-based method, which can select the desired vehicles quickly. Afterwards, the proposed time-slot method is further applied to stabilize the network topology. Given the network structure in Phase I, a routing scheme is presented in Phase II. The network behaviors are explored through simulation and analysis in a variety of scenarios. The results show that the proposed mechanism is a scalable and effective control framework for VSNs

Overseas Chinese Environmental Engineers and Scientists Association (OCEESA) Report, Regular Issue, February 2020

This OCEESA report, which is regular issue of OCEESA Journal (Overseas Chinese Environmental Engineers and Scientists Association Journal). This report is OCEESA report number: OCEESA/JL-2020/3701, February 2020, ISSN 1072 -7248. This report is also OCEESA Journal, Volume 37, Number 1, February 2020. Yung-Tse Hung, Permanent Executive Director, OCEESA, is editor of this report. This issue includes: (A) 10 OCEESA Best Papers (B) 6 OCEESA Papers; 21.Zhang-Zhi Charlie Huang 黄长志 , Implementing Compensation System for Environmental Damages: Challenges and Solutions, 22. Hanlu Yan, Kaimin Shih施凱閔 , Quantitative X-Ray Diffraction for Characterizing P Recovery Products from Wastewater, 23. Kaimin Shih 施凱閔 , Material Mineralogical Technology for Pollution Prevention and Resource Recovery材料礦物學技術於污染防治與資源回收的應用, 24. Kuo-Kunag Hsu 許國光 , Cleanup of MSW-Gasified Synthesis Gas, 25. Pao-Chiang Yuan 袁保強 , End of Useful Life Computer Recycling Program at Jackson State University, Jackson, Mississippi, USA, 26. Qin Qian钱琴, Bo Sun, Xianchang Li, Frank Sun, Che-Jen Lin, Water quality modeling with data collected by wireless sensor networks (WSNs) in an experimental pond: A case study; (C) 3 technical papers; 28. Abdulkarim Alorayfij, Yung-Tse Hung, Anaerobic digestion of agricultural waste, 29. Abdullah Alshati, Yung-Tse Hung, Methane Gas Production from Animal Waste, 30. Abdulmajeed Alshatti, Yung-Tse Hung, Treatment of Timber Industry Wastes, 31. OCEESA Constitutions By-Laws (5 November 2000 edition), 32. OCEESA Constitutions By-Laws (14 February 2006 edition), 33. OCEESA Constitutions By-Laws (27 October 2013 edition), 34. Lawrence Kong-Pu Wang letter of support Yung-Tse Hung Permanent Executive Director OCEESA 12-30-20, 35. Wen-Chi Ku letter of support Yung-Tse Hung Permanent Executive Director OCEESA 12-03-20, 36. OCEESA Member Application Form and Information, 37. Mailing Address Pag

Overseas Chinese Environmental Engineers and Scientists Association (OCEESA) Report, Dec 2016.

This Overseas Chinese Environmental Engineers and Scientists Association (OCEESA) report is 2016 Directory of Overseas Chinese Environmental Engineers and Scientists Association (OCEESA), Report number: OCEESA/JL-2016/33D1, December 2016, ISSN 1072 -7248. This report was prepared by Yung-Tse Hung, Permanent Executive Director, OCEESA. This report includes OCEESA contact information, list of OCEESA Directors, list of OCEESA past presidents, OCEESA membership data, constitutions and by laws of OCEESA (5 November 2000 edition), constitutions and by laws of OCEESA (14 February 2006 edition), constitutions and by laws of OCEESA (27 October 2013 edition), membership application form, letter from Wen-Chi Ku to confirm Yung-Tse Hung OCEESA permanent executive director, letter from Lawrence Kong-Pu Wang to confirm Yung-Tse Hung OCEESA permanent executive director

A Nonlinear Growth Analysis of Integrated Device Manufacturers' Evolution to the Nanotechnology Manufacturing Outsourcing

With the increasing cost of setting up a semiconductor fabrication facility, coupled with significant costs of developing a leading nanotechnology process, aggressive outsourcing (asset-light business models) via working more closely with foundry companies is how semiconductor manufacturing firms are looking to strengthen their sustainable competitive advantages. This study aims to construct a market intelligence framework for developing a wafer demand forecasting model based on long-term trend detection to facilitate decision makers in capacity planning. The proposed framework modifies market variables by employing inventory factors and uses a top-down forecasting approach with nonlinear least square method to estimate the forecast parameters. The nonlinear mathematical approaches could not only be used to examine forecasting performance, but also to anticipate future growth of the semiconductor industry. The results demonstrated the practical viability of this long-term demand forecast framework