Sirindhorn International Institute of Technology

About: Sirindhorn International Institute of Technology is a based out in . It is known for research contribution in the topics: Supply chain & Combustion. The organization has 1048 authors who have published 1678 publications receiving 30067 citations.

Exploration of document relation quality with consideration of term representation basis, term weighting and association measure

Abstract: Tracking and relating news articles from several sources can play against misinformation from deceptive news stories since single source can not judge whether the information is a truth or not. Preventing misinformation in a computer system is an interesting research in intelligence and security informatics. For this task, association rule mining has been recently applied due to its performance and scalability. This paper presents an exploration on how term representation basis, term weighting and association measure affect the quality of relations discovered among news articles from several sources. Twenty four combinations initiated by two term representation bases, four term weightings, and three association measures are explored with their results compared to human judgement. A number of evaluations are conducted to compare each combination’s performance to the others’ with regard to top-k ranks. The experimental results indicate that a combination of bigram (BG), term frequency with inverse document frequency (TFIDF) and confidence (CONF), as well as a combination of BG, TFIDF and conviction (CONV), achieves the best performance to find the related documents by placing them in upper ranks with 0.41% rank-order mismatch on top-50 mined relations. However, a combination of unigram (UG), TFIDF and lift (LIFT) performs the best by locating irrelevant relations in lower ranks (top-1100) with rank-order mismatch of 9.63 %.

Biomass and Solar Energy for Rural Electrification and CO2 Mitigation in Cambodia

Abstract: Cambodia has the highest fuel oil dependence in the power sector among the Asian countries. In 2007, about 85% of fuel oil was supplied for electricity production consuming 1.6% of gross domestic product (GDP). Presently, only 18% of households in Cambodia have access to the electricity grid. Moreover, 75% of the electrified households are in the urban area and 9% are in the rural area. These figures are not satisfactory for Cambodian government. The less electrification in rural areas and the high electricity price are very harmful to Cambodian development. The competitiveness of the fuel oil price in power generation is very hard to increase electrification in the whole nation. By 2030, 70% of all rural households shall have access to the electricity grid, as per government plan. Cambodia has a good potential in renewable energy resources such as 10 GW of hydropower with 1.5% from small and mini hydropower, 1.5 million tones of biomass residues per year and annual solar radiation of 5.1 kWh/m 2 per day. These alternative resources are commonly preferred supplies for the decentralized system in the rural areas. To understand and promote the useful potential of renewable energy resources in the country for long term development plan on rural electrification in Cambodia, the objectives of the study are (1) to examine the future potential of biomass and solar power for rural electricity generation to reduce the fuel oil dependency, (2) to assess the electricity demand, and (3) to mitigate CO 2 emission by using the Long-range Energy Alternative Planning system (LEAP) model for the study period of 2007 to 2030. Results are presented of biomass potential and solar energy for Cambodian rural electrification and CO 2 mitigation.

Synergetic control for HIV infection system of CD4+T cells

Abstract: The HIV infection system is one of the important dynamical systems of viruses, which have been interested by many researchers. In particular, there are several studies on the use of nonlinear feedback control to determine the treatment. The aim of the treatment is to control the amount of uninfected CD4+T cells to the desired level, and to drive the amount of infected CD4+T cells and free virus particles approach to zero as time increased. One well known nonlinear control method is the synergetic control which has been employed for many nonlinear engineering systems. Thus the main focus of this study is to investigate the capability of the synergetic control applying on HIV system. The synergetic control was applied on the HIV system to define the treatment. The study was conducted via simulation. The simulation of the controlled HIV system showed that the state variables approach to the desired values. Therefore, the synergetic controller is feasible to determine the treatment for HIV infection.

Analyzing Bangkok city taxi ride: reforming fares for profit sustainability using big data driven model

Abstract: With the trend toward the use of large-scale vehicle probe data, an urban-scale analysis can now provide useful information for taxi drivers and passengers. Unfortunately, traffic congestion has become a critical problem in urban cities. Road traffic congestion reduces productivity in transportation services, and the daily profit earned is consequently reduced. This is opposite to the cost of living, which is increasing rapidly. Therefore, these issues are causing difficulties in all occupations in terms of managing daily expenses, particularly for taxi drivers. The taxi driving is classified as low income compared to other occupations. Such facts are a symbol of economic inefficiency. To this end, this study aims to assist taxi agencies and the government in improving taxi driver profits in Bangkok using large-scale data. To deal with these large-scale data, we propose a big data-driven model. With this model, we first calculate costs using a cost–distance algorithm and trip reconstruction. The data are then modeled to understand distance-based profits with respect to the departure time and traffic conditions. Finally, several cost predictive models using machine learning are evaluated using the ground truth from 50 taxis for a 1-month period. The experiment results show that more frequent trips over a short distance yield higher profits than long-distance trips. Finally, a solution to improve taxi driver profits is determined. We also compare the advantages and disadvantages of a unified solution.