9,013 research outputs found
Second harmonic generation at fatigue cracks by low-frequency Lamb waves: experimental and numerical studies
Abstract not availableYi Yang, Ching-Tai Ng, Andrei Kotousov, Hoon Sohn, Hyung Jin Li
DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK
Master'sMASTER OF SCIENCE IN COMPUTER SCIENCEDissertation Supervisors: 1. Assoc Prof Ng Hwee Tou, SMA Associate, NUS. 2. Mr Foo Mao Ching, DSO 3. Mr Rodney Teo, DSO
[[alternative]]Hu Shih and His Shui-ching Chu Scholarship
[[abstract]]For a long time, people do not understand why Hu Shih (1891-1962) spent his last twenty years studying the Chinese classic work, Shui-ching chu (Commentary on the Classic of the Waterways). Was this ambitious academic project a departure from his early mission as a westernizer? Was the Shui-ching chu his ivory tower? Why did he try so hard to prove that Tai Chen (1724-1777) was innocent of plagiarism?
This paper will attempt to answer a number of such questions which have puzzled scholars about Hu Shih, the Shui-ching chu, and Ch'ing scholarship through a case study of the Shui-ching chu controversy. The focus of the controversy is the question of whether Tai Chen plagiarized Chao I-Ch'ing (1709-1764) or Ch'uan Tsu-wang (1705-1755). Hu argued that Tai arrived at identical results as Chao and Ch' Qan independently because these three mid-Ch'ing scholars employed the same research method of textual criticism.
This research indicates that Hu's main intention in studying the Shui-ching chu was not to defend the cultural heritage of his homeland, to prove his ability in reading classics, to hide himself from the punishing reality, or to fight for justice. Rather, he used this issue as an ideological weapon to fight with cultural conservatives and to advocate the aspects of modernity, such as objectivity and scientific spirit, that he found in Ch'ing scholarship. Tai Chen was a hero to Hu because he represented a cultural heritage which could be utilized in modern China for an epis-temological and methodological revolution.
Hu's scholarship on the Shui-ching chu is controversial. His collation and examination of more than sixty different editions of the text was perhaps his most important contribution to Shui-ching chu studies. No one has examined the Shui-ching chu controversy more comprehensively than Hu. However, Hu did not make a real breakthrough. His handwritten manuscripts are loosely organized and badly written. He shifted the attention of scholars away from more important areas in Shut-eking chu studies. His research was also far from being neutral and objective. He was too lenient toward Tai Chen and too harsh on Tai's critics. He also failed to respond directly to the unfavorable arguments raised by Tai's critics.
Key Words: Hu Shih, Shut Ching Chu, Intellectual history of modern China[[fileno]]JA01_1997_p23
A study of listing PRC enterprises in Hong Kong stock exchange.
by Chan Kin Man, Eric, Ng Man Leung, Alfred, Poon Man Ching, Daniel.Thesis (M.B.A.)--Chinese University of Hong Kong, 1989.Bibliography: leaves [113]-[115]
Marketing strategies of wines for a wine trader in Hong Kong : research report.
by Tam Siu-man, Ng Ching-hoi, Wong Kam-wah.With an abstract in Chinese and EnglishBibliography: leaves 87-88Thesis (M.B.A.)--Chinese University of Hong Kong, 198
El I-Ching y el Viaje por la vida, por María Fernanda Gómez
El I- Ching ?? (yì j?ng) es el libro al cual consultar ante una decisión importante, pero para comprender su significado es importante comprender los 64 hexagramas contenidos en el libro. María Fernanda Gómez, una traductora e intérprete simultánea, lleva más de 15 años estudiando el I-Ching?? (yì j?ng) y otros oráculos luego de encontrar respuestas para su propia vida en ellos
Distributed human computation framework for linked data co-reference resolution
Distributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
Niching particle swarm optimization techniques for multimodal buckling maximization of composite laminates
Abstract not availableLiang Huang, Ching-Tai Ng, Abdul H. Sheikh, Michael C. Griffit
Customer migration, campaign budgeting, revenue estimation: the elasticity of Markov decision process on customer lifetime value
To predict the profitability of a customer, today’s firms have to practice Customer Lifetime Value (CLV) computation. Different approaches are proposed in the last ten years to analyze the complex customer phenomenon. One of them is Markov Decision Process (MDP) model. The class of Markov Models is an effective and a flexibility decision model. Whereas the use of MDP model is limited by its assumption, in this paper, we attempt to introduce an extension model for MDP: Higher-order Markov Decision Model (HMDP). HMDP can perform excellently in CLV calculation and overcome the limitation of MDP. By using a real application, we will demonstrate how it can be used efficiently in a firm’s daily operations
Association between dietary pattern and β-carotene intake with oral cancer risk / Helen Ng Lee Ching
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