The idea of establishing a private university to support private sector development in Thailand and the region was initiated in 1996 by Dr. Thaksin Shinawatra and his colleagues. This was followed by the design and development of an environmentally friendly campus by Dr. Soontorn Boonyatikarn in 1997. A year later, the innovative plans were presented to Her Royal Highness Princess Mahachakri Sirindhorn, and then to the Ministry of Universities which granted the license for operation towards the end of 1999. The first Shinawatra University Council Meeting was held on May 19th, 2000, marking the initial milestone of the long road to becoming an accomplished private university. In September 2002, the first batch of students was admitted, and the venture of creating and nurturing a prospective university had begun. Wikipedia.
Walsh J.,Shinawatra University
International Journal of Agricultural Resources, Governance and Ecology | Year: 2015
Although agricultural households operate on the basis of the gendered division of labour, it is not clear whether a similar division of labour occurs with respect to decision-making when it comes to agricultural activities. This paper reports on three empirical studies conducted in Cambodia and Thailand with a total sample size of 520 respondents. The sample consists entirely of women, many of whom were heads of households. The surveys discovered information about gender and decision-making in terms of new inputs into production (e.g. insecticides and fertilisers) and in livestock management. It was observed that different decision-making processes were followed when a woman was head of the household rather than a man and factors contributing to this result are explained. Implications and recommendations are discussed, along with the necessary limitations to the research in terms of time and space. Copyright © 2015 Inderscience Enterprises Ltd.
Maleewong K.,Shinawatra University
Advances in Intelligent Systems and Computing | Year: 2016
Although several community-based question answering or CQA systems have been successful at encouraging vast numbers of users to ask and answer questions, and leading to unanticipated explosion of community knowledge, the user-generated contents are confronted with poor quality and untrustworthy problems, while the CQA community deals with conflicts occurred during the question answering process. To tackle such problems, this paper presents a novel approach to predict the best answer as quality-assured consensual answer by simultaneously concerning the content quality and group preference. A set of important features of the answer and its interrelated components as well as social interaction are identified and used to model the predicting function by applying binary logistic regression method. In contrast to the voting-based CQA systems, the proposed model evaluates group preference based on the content quality and community agreement. By training the proposed model using the defined features, the results show that the proposed approach is efficient and outperforms the voting method. © Springer International Publishing Switzerland 2016.
Yuenyong S.,Shinawatra University
7th International Conference on Information Communication Technology for Embedded Systems 2016, IC-ICTES 2016 | Year: 2016
Echo State Network (ESN) is a type of neural network with convex training used as nonlinear adaptive filters. It requires relative large network size and O(N2) training algorithm in order to realize its full potential. We present a subspace training scheme for ESN that reduces the training cost from O(N2) to O(NL) where L < N is the dimension of the subspace. Experiments show that L = 20 is sufficient for networks of size N = 100 and that the performance of subspace training algorithm is actually better than current standard training algorithm while having only 20% computational cost and preserving convex training. © 2016 IEEE.
Yuenyong S.,Shinawatra University
ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era | Year: 2015
Echo State Network (ESN) is a special type of neural network with a randomly generated structure called the reservoir. The performance of ESN is sensitive to the reservoir parameters, which have to be tuned for best performance. Tuning of the reservoir parameters using evolutionary algorithms can be slow and produce inconsistent results. In this paper, we present a simple method for generating reservoirs based on templates that makes the reservoir matrices deterministic with respect to the parameters. Compared with the traditional method where the reservoir matrices are random, tuning of the reservoir parameters with an evolutionary algorithm needs less time, less number of cost function evaluations, and produces more reliable results using the proposed method. © 2015 IEEE.
Mingotti N.,University of Cambridge |
Chenvidyakarn T.,Shinawatra University |
Woods A.W.,University of Cambridge
Energy and Buildings | Year: 2013
We explore the impacts of climate and wall insulation on the energy demand of a room connected to single or double glazing exposed to solar radiation. We show that in cold climates with weak solar radiation double glazing reduces the requirement for mechanical heating of buildings with poor wall insulation and/or small occupancy, particularly when its inner layer is tinted. In these climates the energy benefit of multi-layered glazing connected to well-insulated buildings with large internal heat gain is smaller. However, in warmer climates with stronger solar flux, double glazing reduces the requirement for mechanical cooling of buildings with good wall insulation and relatively small ventilation, particularly when its outer layer is tinted or highly reflective. For buildings with poor wall insulation located in warm climates with strong solar radiation, the energy saving provided by the extra layer of glazing in the facade is small. © 2012 Elsevier B.V. All rights reserved.
Yuenyong S.,Shinawatra University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016
In this paper, the derivative of the input scaling and spectral radius parameters of Echo State Network reservoir are derived. This was achieved by re-writing the reservoir state update equation in terms of template matrices whose eigenvalues can be pre-calculated, so the two parameters appear in the state update equation in the form of simple multiplication which is differentiable. After that the paper derives the derivatives and then discusses why direct application of these two derivatives in gradient descent to optimize reservoirs in a sequential manner would be ineffective due to the nature of the error surface and the problem of large eigenvalue spread on the reservoir state matrix. Finally it is suggested how to apply the derivatives obtained here for joint-optimizing the reservoir and readout at the same time. © Springer International Publishing Switzerland 2016.
Chareonsuk C.,Shinawatra University |
Chansa-ngavej C.,Shinawatra University
Industrial Management and Data Systems | Year: 2010
Purpose - The purpose of this paper is to explore the interrelationships of intangible assets to business performance. The paper reports an empirical evidence for the impact of three elements of intangible assets: learning and growth, internal business process, and external structure on the business performance of the firm. The linkages between intangible asset elements and business performance are investigated in companies of various business sizes, business sectors and establishment ages. Design/methodology/approach - The proposed model was adapted from the balanced scorecard strategy map. The primary data for analyzing and investigating the interrelationships between intangible assets and business performance were gathered by subjective opinion survey questionnaire. In all, 3,084 questionnaires were distributed to the top management. The numbers of qualified responses were 304 and the data were analyzed using the structural equation modeling technique. Findings - The commonly assumed causal relationships are confirmed, i.e. the element of learning and growth has influence on internal business process, the element of internal process has effect on external structure, and theelement of external structure, in turn, has effect on business performance.Originality/value - Following the research findings, top management in companies of different sizes, business sectors, and establishment ages should understand the nature of interrelationships and recognize the importance ofintangible assets. These findings will enable top management to realize theimpact of intangible asset elements on business performance so that long-term strategies for effective intangible asset management may be emphasizedfor sustainable competitive advantage of the firm. © Emerald Group Publishing Limited.
Walsh J.,Shinawatra University |
Maneepong C.,Arizona State University
Singapore Journal of Tropical Geography | Year: 2012
After the 1997 financial crisis, many retrenched workers preferred not to return to provincial homes but remained in Bangkok to establish informal retail businesses in branded and other consumer products. In contrast to traditional street vendors, who specialized in food items primarily catering for low-income customers, and focused on high volume, these 'new generation' street vendors also adopted more formal business practices. Given their greater sophistication and better education, we hypothesized that they would be more organized advocates of vendors' rights and thus more prone to conflicts with municipal authorities. Based on interviews, however, we found that new generation vendors are adaptive to location and business strategy, and prefer a low profile in dealing with officialdom. By contrast, traditional vendors remained more tied to particular spaces, are more likely to stand up for their rights to use public space and, because they expect more from government, are more prone to conflicts with municipal authorities. Our findings relate to ongoing discussion on the rights and needs of street vendors to access urban public space and the responsibilities of authorities to meet and provide for these informal sector livelihoods that make up a significant share of the national economy in Thailand, as elsewhere in the global South. © 2012 Department of Geography, National University of Singapore and Blackwell Publishing Asia Pty Ltd.
Chaisiri S.,Shinawatra University
Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS | Year: 2013
Crowd sourcing emerging as a distributed problem-solving model can dispatch tasks to a large number of human workers. The workers' human intelligence can be utilized to execute tasks which cannot be efficiently performed by computer-based systems. A crowd sourcing environment supports various data processing tasks, for example, data collection, data annotation, data validation, data classification, and natural language processing. In particular, the crowd sourcing environment can be applied for big data processing as well. In this paper, we propose Human-Intelligence-as-a-Service (HIaaS) which is a cloud computing service model utilizing human intelligence in a crowd sourcing marketplace to process big data. We also propose an optimization model based on stochastic programming for provisioning human workers in a HIaaS-based marketplace. Numerical studies are performed to evaluate the optimization model. A video rating system handling a big data set is an illustrative example analyzed in the studies. The results show that the model can efficiently reduce the cost to provision workers for processing a big data job. © 2013 IEEE.
Walsh J.,Shinawatra University
International Journal of Services, Technology and Management | Year: 2015
Transporting goods by sea remains the dominant move of importing and exporting merchandise and the amount of such movements was revolutionised by the containerisation, which standardised crate sizes on seagoing vessels and dramatically increased the efficiency of operations. Yet there are other constraints to efficient operations and such issues as customs clearance, tariffs and non-tariff barriers can all have a significant effect. The ten member states of the Association of Southeast Asian Nations (ASEAN) aim to reduce delays and paperwork through the use of the National Single Window (NSW) concept that members should introduce as part of the ASEAN Economic Community (AEC). One affected port is at Thilawa special economic zone (SEZ) in Myanmar, which is being developed primarily by Japanese capital. It will need a deep-sea port that will be able to handle the rapidly-increasing number of container movements now taking place in Myanmar. Problems that must be faced are considered. Copyright © 2015 Inderscience Enterprises Ltd.