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Dhurakij Pundit University is a university located in Bangkok, Thailand. Founded as Dhurakij Pundit College in 1968, and upgraded to a university status in 1984, it is one of the larger Thai private universities. Undergraduate and graduate degree programs are offered though the university's nine faculties, the graduate school, and the international college. Wikipedia.

Ongtang M.,Dhurakij Pundit University | Butler K.,University of Oregon | McDaniel P.,Pennsylvania State University
Proceedings - Annual Computer Security Applications Conference, ACSAC | Year: 2010

The penetration of cellular networks worldwide and emergence of smart phones has led to a revolution in mobile content. Users consume diverse content when, for example, exchanging photos, playing games, browsing websites, and viewing multimedia. Current phone platforms provide protections for user privacy, the cellular radio, and the integrity of the OS itself. However, few offer protections to protect the content once it enters the phone. For example, MP3-based MMS or photo content placed on Android smart phones can be extracted and shared with impunity. In this paper, we explore the requirements and enforcement of digital rights management (DRM) policy on smart phones. An analysis of the Android market shows that DRM services should ensure: a) protected content is accessible only by authorized phones b) content is only accessible by provider-endorsed applications, and c) access is regulated by contextual constraints, e.g., used for a limited time, a maximum number of viewings, etc. The Porscha system developed in this work places content proxies and reference monitors within the Android middleware to enforce DRM policies embedded in received content. A pilot study controlling content obtained over SMS, MMS, and email illustrates the expressibility and enforcement of Porscha policies. Our experiments demonstrate that Porscha is expressive enough to articulate needed DRM policies and that their enforcement has limited impact on performance. © 2010 ACM. Source

Kajornrit J.,Dhurakij Pundit University
Proceedings - 2015 7th International Conference on Information Technology and Electrical Engineering: Envisioning the Trend of Computer, Information and Engineering, ICITEE 2015 | Year: 2015

This paper proposes a comparative study of commonly-used global optimization methods to improve training performance of back-propagation neural networks. The optimization methods adopted herein include Simulated annealing, Direct search, and Genetic algorithm. These methods are used to optimize neural networks' weights and biases before using back-propagation algorithm in order to prevent the networks from local minima. Four benchmark datasets of prediction (regression) task were used to evaluate the established models. The experimental results indicated that optimizing neural network's parameters is a complicated problem due to its high dimension of variables to be optimized. And only genetic algorithm was able to solve this difficult optimization problem. In addition, this paper also applied this success method to predict monthly rainfall time series data in the northeast region of Thailand. The results indicated that using of genetic algorithm with back-propagation neural network is a recommended combination. © 2015 IEEE. Source

Jirapanthong W.,Dhurakij Pundit University
Proceedings - 2015 7th International Conference on Information Technology and Electrical Engineering: Envisioning the Trend of Computer, Information and Engineering, ICITEE 2015 | Year: 2015

The development of software products is currently being expanded to be based on web applications. Due to the time constraints, software design and development for web applications are driven. It leads the software or applications become more complex. Identifying impacts of changes or relations takes a lot of time and effort. One challenge is to enable traceability on software artefacts created during the development of web applications. Moreover, it is believed that analysis of data obtained from traceability relations is another way to make software process more efficient. However, it is absolutely not an easy task due to lack of guidelines, support, and tools. This research thus aims to enable software traceability on the development of web applications which involve many types of documents. © 2015 IEEE. Source

Reinders H.,Unitec | Wattana S.,Dhurakij Pundit University
ReCALL | Year: 2014

The possible benefits of digital games for language learning and teaching have received increasing interest in recent years. Games are said, amongst others, to be motivating, to lower affective barriers in learning, and to encourage foreign or second language (L2) interaction. But how do learners actually experience the use of games? What impact does gameplay have on students' perceptions of themselves as learners, and how does this affect their learning practice? These questions are important as they are likely to influence the success of digital game-based language learning, and as a result the way teachers might integrate games into the curriculum. In this study we investigated the experiences of five students who had participated in a fifteen-week game-based learning program at a university in Thailand. We conducted six interviews with each of them (for a total of 30 interviews) to identify what impact gameplay had in particular on their willingness to communicate in English (MacIntyre, Dörnyei, Clément Noels, 1998). The results showed that gameplay had a number of benefits for the participants in this study, in particular in terms of lowering their affective barriers to learning and increasing their willingness to communicate. We discuss the implications of these results in terms of further research and classroom practice. Copyright © European Association for Computer Assisted Language Learning 2015. Source

Energy use in Bangkok accounts for a large portion of the total energy consumption in Thailand. Few energy and carbon studies, however, have focused on the level of the city. International research indicates that cities are the key drivers of energy usage and the associated carbon emissions. This paper presents a study on the options for energy and carbon development for the city of Bangkok. The Longrange Energy Alternatives Planning System (LEAP) model is used to simulate a range of policy interventions and to predict how these would change energy and carbon development from 2000 to 2025. The planning period is assumed to start in 2005, and 2000 is used as the baseline year. Sustainability of the sixteen proposed policies and scenarios is analyzed using a multi-criteria decision-making approach. Results of this study provide an insight into Bangkok's energy and carbon future and highlight the steps required to promote a sustainable low-carbon society. The most significant energy savings are in the transport sector, where a modal shift from private passenger vehicles to mass transit systems has the potential to significantly reduce energy demand, carbon emissions, and local air pollutants. © 2009 Elsevier Ltd. Source

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