Bangkok, Thailand
Bangkok, Thailand

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.


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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.


As part of Infor's Education Alliance Program, University will integrate Infor SunSystems Software into course programs BANGKOK, THAILAND--(Marketwired - Dec 18, 2016) - Infor, a leading provider of beautiful business applications specialized by industry and built for the cloud, today announced its collaboration with Thailand's Dhurakij Pundit University (DPU) through the Infor Education Alliance Program (EAP), an initiative that helps educational institutions develop their students' technological skillsets. The first of such Infor collaborations with an educational institution in ASEAN, DPU's EAP program is set to commence in January 2017 with approximately 100 Bachelor's degree students. Launched globally in 2014, the Infor EAP provides partner institutions with free access to innovative technologies and learning platforms, and provides students hands-on industry experiences allowing them to gain a competitive edge when entering the workforce. As of 2016, the program has trained over 1,500 students and is growing across the region, with universities participating in China, South Korea and India. The EAP offerings include trainings on Infor's CloudSuite™ solution hosted on Amazon Web Services®, access to industry Centres of Excellence, certifications on Infor's leading industry software suites, opportunities for Infor Scholar internships, and participation in a Skills Marketplace designed to help students gain better employment and partnership opportunities in the tech industry. As part of DPU's course programs, students will use Infor SunSystems software, which includes Infor SunSystems Financials and Infor BI Q&A. Infor SunSystems Financials is an integrated solution that combines flexible transaction processing applications with real-time analysis and extensive reporting. With Infor BI Q&A, a cloud ready solution with unparalleled data visualization functionality, you can turn information into insight and action -- all in real time. The collaboration with DPU also represents Infor's first SaaS deployment of the new Infor Cloud SunSystems Financials in APAC. "Our partnership with Infor will help our students prepare for future employment. Likewise, businesses in Thailand will also benefit from Infor's initiatives in fostering a skilled workforce ready to face challenges in the 21st century, as Infor SunSystems is already widely used in more than 200 organizations across Thailand," said Dr. Pattanant Petchchedchoo, Dean, College of Innovative Business and Accountancy (CIBA), DPU. Infor will also benefit from the partnership as the company recognizes top local talent in the tech industry, and helps to develop a pool of hire-ready graduates in the region. "Infor has been a long-time supporter of the development of Thailand's technology sector. We are proud of Infor's collaboration with DPU and not only look forward to launching the program, but also providing our technology and know-how to help Thailand students and industries," said Helen Masters, Vice President & Managing Director, South Asia - ANZ & ASEAN, Infor. "We look forward to the expansion of the Infor EAP initiative across the ASEAN region." Triforce Global Solutions Limited, a systems integrator and Infor Gold Certified Partner based in Thailand, will work closely with Infor and DPU under the Partners in Education (PiE) program, providing advice, guidance, and structure to conduct a successful rollout of the EAP initiative. Triforce will also serve as relationship managers and liaisons between Infor's Education Alliance Program and DPU. "We are delighted to play a crucial role in making the Infor EAP and DPU initiative a reality," said Joan Lee, Executive Director, Triforce Group. "It will provide students with opportunities to learn about technology and its use in driving business innovation." About Dhurakij Pundit University Dhurakij Pundit University (DPU), as a Thai private university has adopted the Thailand Model 4.0. This model was initiated by the current Thai government and employs innovation as a key driver. Therefore, DPU has created a new college called "CIBA" which comprises four major faculties, Business Administration, Accountancy, Economics, and the International College. CIBA is going to be a key driver with innovative management, like the Thailand Model 4.0, and involves collaboration with all faculties and programs to maximize resource usage. CIBA has implemented innovative teaching and learning following the Thai government's model 4.0 in which innovation is a key driver. CIBA has included innovations into our teaching and learning approaches in accounting systems, finance, marketing, human resource management, logistics, and many more. The drivers of business are innovation and technology such as Big Data or innovative solutions like FinTech to solve problems in the business sector. Real business case studies are integrated into CIBA teaching and learning. Our graduates will have new business DNA in creativity and are able to apply innovation to benefit the business sector and economy of their country. About Triforce Global Solutions With offices in Thailand, Singapore, Japan and Philippines, Triforce Global Solutions provides enterprise clients across Asia Pacific, a single source for business software, consultancy, and support for financials, operations and ERP solutions. Our aim is to deploy rapid and the best-in-class integrated solutions for our clients, wherever they are. About Infor Infor builds business software for specific industries in the cloud. With 15,000 employees and over 90,000 customers in more than 170 countries, Infor software is designed for progress. To learn more, please visit www.infor.com.


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.


Pechsiri C.,Dhurakij Pundit University
Lecture Notes in Engineering and Computer Science | Year: 2016

The research aims to develop an automatic Why Question Answering system on community web-boards for supporting ordinary people in preliminary diagnosis problems such as plant disease problems. The research contains two main problems, how to identify the Why question and how to determine the answer of the Why question where all Why questions of the research are based on explanation. Therefore, the Maximum Entropy classifier was proposed to identify the Why question. The research applies the causality graph for determining the visualized answers based on the information retrieval technique. The experiment shows the Why Question Answering system of the research can achieve answers at Rank 1 with 90% correctness.


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.


Jitkongchuen D.,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 hybrid differential evolution algorithm with grey wolf optimizer for solving continuous global optimization problems. The proposed algorithm introduces a new improved mutation schemes. In this algorithm, the control parameters are self-adapted by learning from previous evolutionary search. Beside, the grey wolf optimizer algorithm is used to enhance the crossover strategy. The performance of the proposed algorithm was evaluated on nine well-known benchmark functions and it was compared to particle swarm optimization, the traditional differential evolution algorithm and the self-adaptive differential evolution algorithm (jDE). The experimental results suggested that the proposed algorithm performed effectively to solving complex optimization problems. © 2015 IEEE.


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.


Petcharaks N.,Dhurakij Pundit University
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 | Year: 2015

The objective of this paper is to find the optimum spinning reserve (SR) in a power system integrating renewable energy sources (RES). Over SR causes higher production cost whereas insufficient SR causes outage cost. Optimum SR should yield lowest summation of production cost and outage cost. In general, load demand may deviate from forecasted load profile whereas RES output is intermittent. These result in uncertainty. This paper employs a stochastic process to encounter uncertainty by using Monte Carlo simulation. It is tested on a 10 unit system plus 1 RES for 24 hour planning. SR is varied 7-12% of forecasted load whereas load standard deviation is varied 6-8%. Input values are obtained by sampling randomly based on normal distribution 1,000 values for each hour, resulting in 1,152,000 simulations for all cases. Numerical results reveal that the optimum SR could be 8% or 11-12% depending on load deviation and outage cost. © 2015 IEEE.


Jamjareekul P.,Dhurakij Pundit University
Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011 | Year: 2011

This paper proposes a concept for design and fabrication about a compact microstrip bandstop resonator for dual-band wireless communication. This proposed microstrip bandstop resonator is constructed from 2 open-circuited quarter wave-length transmission line stubs and J-inverter which are used to separate widely between low and high frequency bands by using transmission lines theory and admittance inverter. The low frequency band of 800-900 MHz can be served the CDMA mobile networks of CAT Telecom Public Company Limited in Thailand, and the high frequency band of 2.3-2.7 GHz can be served the wireless networks both WiFi-2.45 GHz and WiMA-2.5 GHz. The experimental results have been shown that the measured return losses are in good agreement with the simulated ones both the entire higher and lower frequency bands. Refer to considering the return loss of 20 dB, the bandwidth of a measured microstrip bandstop resonator is close to the simulated bandwidth for the lower frequency band, but it is wider than the simulated bandwidth for the higher frequency band. Moreover, the measured insertion losses are high, but those are in good agreement with the simulated ones. The advantages of this proposed microstrip bandstop resonator are as follows: the return losses are good and acceptable, the wide rejection band can be owned, and the compact size can be achieved. © 2011 IEEE.


Phdungsilp A.,Dhurakij Pundit University
Energy Procedia | Year: 2015

Energy security is strongly related to energy and climate policies. Understanding of energy security implications is critically important for shaping policy measures. This study presents the future energy security assessment in Thailand under three energy scenarios. The assessment was based on the use of energy security indicators to track the impact of changes in the energy system under different energy scenarios for the period 2012-2030. These indicators were clustered into four groups, including energy demand, diversification of energy supply resources, environmental dimension, and energy market. The three scenarios were derived from published data. The analysis suggests that Thailand needs to develop specific policy measures to enhance energy security in terms of energy market dimension and to pay more attention in national energy efficiency and total CO2 emissions to maintain the economic growth. © 2015 The Authors. Published by Elsevier Ltd.

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