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Pathum Thani, Thailand

Thammasat University , or in brief TU , is Thailand's second oldest institute of higher education. Officially established to be the national university of Thailand on 27 June 1934, the university was originally named by founder Pridi Banomyong, The University of Moral and Political science , reflecting the political fervor of Thailand. It started as an open university, with 7,094 students enrolled in its first academic year studying law and politics. The guiding philosophy of the university was "to teach students to love and cherish democracy". In 1952, the university's name was shortened to its present one by the military junta of Field Marshal Plaek Phibunsongkhram who also became the first rector of the university. Nevertheless, Thammasat University has always been involved in Thai national politics, counting most Thai political leaders among its graduates. Its original campus at Tha Phra Chan was the site of the 14 October 1973 uprising and the 6 October 1976 Massacre.In 1960, the university ended its free-entry policy and became the first university in Thailand that requires passing national entrance examinations for admission. Thammasat today offers more than 240 academic programs in 23 different faculties and colleges located on four campuses. Over the nearly 80 years since its founding, Thammasat University has evolved from an open university for law and politics to a prestigious international university offering all levels of academic degrees in many fields and disciplines. It has graduated more than 300,000 undergraduate and graduate students who have greatly contributed to the development and progress of Thai society and the nation. The university’s alumni have included most of all Prime Ministers, leading politicians and government figures, Bank of Thailand governors, Supreme Court presidents, judicial officers, and most of the city’s governors. The university's Bangkok Campus is in Phra Nakhon, Bangkok in close proximity to many tourist destinations. The Rangsit campus, where most undergraduate programmes are now held, is in Khlong Luang, Pathum Thani. Thammasat has smaller regional campuses in Lampang, Pattaya, Narathiwat, and Udon Thani. It is ranked No.447 in the world by QS. Wikipedia.

Preechaburana P.,Thammasat University | Suska A.,Linkoping University | Filippini D.,Linkoping University
Trends in Biotechnology

Continued progress in cell-phone devices has made them powerful mobile computers, equipped with sophisticated, permanent physical sensors embedded as the default configuration. By contrast, the incorporation of permanent biosensors in cell-phone units has been prevented by the multivocal nature of the stimuli and the reactions involved in biosensing and chemical sensing. Biosensing with cell phones entails the complementation of biosensing devices with the physical sensors and communication and processing capabilities of modern cell phones. Biosensing, chemical-sensing, environmental-sensing, and diagnostic capabilities would thus be supported and run on the residual capacity of existing cell-phone infrastructure. The technologies necessary to materialize such a scenario have emerged in different fields and applications. This article addresses the progress on cell-phone biosensing, the specific compromises, and the blend of technologies required to craft biosensing on cell phones. © 2014 Elsevier Ltd. Source

Ummartyotin S.,Thammasat University | Manuspiya H.,Chulalongkorn University
Renewable and Sustainable Energy Reviews

The interest in cellulose and its modification as cellulose-based composite has been exponentially increasing. During the last three decades, cellulose and cellulose-based composite have been extensively designed for many aspects of the sensor. Due to the sustainability of cellulose and its excellent properties, the use of cellulose and the modification on cellulose-based composite can be versatile in the sensor community. In this review article, fundamental and background of cellulose and modification of cellulose-based composite are presented. Numerous approaches on cellulose and cellulose-based composite for many types of sensors including gas sensor, humidity sensor, UV sensor, strain sensor as well as capacitive sensor were discussed. © 2014 Elsevier Ltd. Source

This paper concerns the structural developments and the direction of technological change of the energy innovation system, based on the studies of Kuhn's model of scientific change and Schumpeter's model of technological change. The paper uses the case study of Thai government agencies for understanding the way governments can facilitate technological innovation. The analyses are based on a pre-foresight exercise to examine the potential of the bio-based energy and investigate a set of development policies necessary for the direction of energy system development. The results have shown that bio-based energy is seen as the next new wave for future businesses and one of the solutions to the problem of high oil prices to improve the world's economic security and sustainable development. © 2009 Elsevier Ltd. All rights reserved. Source

Nakariyakul S.,Thammasat University
Information Sciences

The branch and bound algorithm is widely known as an efficient approach for selecting optimal feature subsets. If the optimality of the solution is allowed to be compromised, it is possible to further improve the search speed of the branch and bound algorithm. This paper studies the look-ahead search strategy which can eliminate many solutions deemed to be suboptimal early in the branch and bound search. We propose ways to incorporate the look-ahead search scheme into four major branch and bound algorithms, namely the basic branch and bound algorithm, the ordered branch and bound algorithm, the fast branch and bound algorithm, and the adaptive branch and bound algorithm. A comparative study of the look-ahead scheme in terms of the computational cost and the solution quality on these suboptimal branch and bound algorithms is carried out on real data sets. Furthermore, we test the feasible use of suboptimal branch and bound algorithms on a high-dimensional data set and compare its performance with other well-known suboptimal feature selection algorithms. © 2014 Elsevier Inc. All rights reserved. Source

There is increasing research to explore both efficient and cost-effective control of pneumatic artificial muscle (PAM) actuators against inherent nonlinear behaviors of the actuators themselves. This paper presents a fuzzy logic based Pulse-Width-Modulation (PWM) control of PAM actuators together with controlled-variable estimation of a neural network. The PAM actuator consists of two main non-linear elements: a PAM and an on/off control valve unit. Dynamic modeling of the PAM actuator is carried out so as to represent a real PAM actuator in simulation of the dynamic behaviors for gaining knowledge in the controller design. The proportional-type fuzzy control law based on a minimum-time control design is proposed to determine the mass flow rate of compressed air in manipulating the controlled variables of the PAM actuators, such as position and force. In circumstances, when the controlled variables are inaccessible, a neural network model is proposed to estimate those variables instead of using direct measurement. The class of PAM actuators available in industry is used as a practical example to show the effectiveness of the proposed methodology in real working conditions. The concept of the proposed knowledge-based control system, which can emulate the reasoning procedures in this work, can be generalized to systematically implement other PAM actuators in real-time control. © 2010 Elsevier Ltd. All rights reserved. Source

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