Naresuan University Journal
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Predicting the Popularity Rating of Thai TV Drama by Text Mining of Social Network
The objectives of this study were to predict the popularity ratings of Thai TV drama programs with a prediction model, based on found and synthesized factors affecting them, and to check the accuracy of the model in terms of Root Mean Square Error (RMSE) of the predicted outcomes. The analyzed data were both structured and unstructured data. The structured data included the TV channels airing the programs, type of drama, on-air time, number of episodes, average time per episode, number of viewers watching already aired programs, number of viewers watching the highlight of already aired programs, and number of viewers listening to program soundtracks. The unstructured data included messages posted on Twitter. The messages were processed by sentiment analysis, and the sentiments found were statistically analyzed together with the structured data by multiple regression, yielding predicted popularity ratings. The results show that comments on Thai TV drama programs in social media significantly affected the predicted popularity ratings of those programs. A factor affecting the predicted ratings was ‘message with positive sentiment’. A factor, the number of viewers watching the highlight of already aired programs, positively affected the popularity ratings when other factors were kept fixed. Another factor, number of viewers watching already aired programs, negatively and significantly affected the popularity ratings (< 0.05). Finally, the RMSE of the prediction model was 0.717 on the training data set containing data from 430,256 people, and the RSME of the prediction model was 0.41 on the test data set containing data from 246,133 people. Our findings may directly benefit Thai TV drama program producers and TV channel administrators in their effort to provide programs that will fully satisfy most viewers.
Keywords: Text Mining, Sentiment Analysis, Multiple Regression, Twitte
Sponsorship Disclosure in Native Advertising: A Theoretical Framework
Native advertising is one of the fastest growing areas of online promotion. After reviewing extant literature via EBSCOhost database, this study draws on Persuasion Knowledge Model and develops a theoretical framework which facilitates a clearer understanding of the relationship between sponsorship disclosure in native advertising and consumer outcome. The framework suggests that sponsorship disclosure has a negative effect on electronic word of mouth (eWOM), and further proposes the interplay between the main effect with brand prominence and the type of device. This is highly relevant to marketer as regulators have been pressuring for the disclosure of native advertising. As this is likely to have detrimental effect to the eWOM, marketer may employ the boundary conditions proposed by this framework to attenuate that negative effect.
Keywords: Native Advertising, Sponsorship Disclosure, Persuasion Knowledge, eWO
Application of Laplace Differential Transform Method in Solving Two-Dimensional Partial Differential Equations with Variable Coefficient
In this paper, Laplace Differential Transform Method (LDTM) is employed in solving two-dimensional partial differential equations with variable coefficients. Laplace Differential Transform Method (LDTM) combines Laplace transform and Differential Transform Method (DTM) and can be used to effectively solve 2-D partial differential equations. In order to demonstrate the effectiveness of this method, 2-D heat-like equations and wave-like equation were considered. Results revealed that the LDTM is effective and efficient in handling 2-D homogeneous and nonhomogeneous partial differential equations with little computational effort.
Keywords: Nonhomogeneous PDE, 2-D PDE, Laplace Differential Transform Method, Laplace Transform, Differential Transform Metho
Increase of Coriander Yield by Using Bio-Extract from Sensitive Plant
Bio-extract from sensitive plant has been shown to be beneficial for the growth of several vegetables. In this study, the effects of bio-extract from sensitive plant on fresh weight of coriander were determined under field conditions. The experiments were carried out by diluting the bio-extract from sensitive plant with water at the concentrations of 1:50, 1:100, 1:500 and 1:1,000 and then applied to the coriander in a completely randomized design with four replications, ten plants per replication. Five hundred milliliters of bio-extract were applied to coriander plants every six days for five times. The experiments were conducted from August 2019 to May 2020 at the agricultural field station of the Department of Agricultural Technology, Mahasarakham University. After planting, the analyzed data of bio-extract results showed that diluted bio-extract at the concentration of 1:50 could increase the contents of nitrogen and potassium in soil when compared to the control (no added of bio-extract). In addition, the levels of pH and EC in soil treated with diluted bio-extract were significantly lower (p < 0.01) than the control. Also, the coriander plants that were treated with diluted bio-extract at the concentration of 1:500 were found to have the maximal fresh weight of 20.55 g per plant at 45 days after planting. This study therefore suggested that the bio-extract from sensitive plant could be beneficial effect for increasing the yield of coriander.
Keywords: Coriander, Bio-extract, Sensitive plant, coriander, organic matte
Sentiment Analysis for Thai dramas on Twitter
Since most consumers are interested in watching TV series and using online media such as Twitter to exchange opinions about them, there are a lot of comments are found and the consumers must take more time for reading and understanding the overall messages of the other consumers' views. Therefore, this research has studied about word grouping, classification of the sentiments of the text about Thai TV series called Thai dramas or Lakorn. The objective is to analyze the opinion messages expressed as like, dislike and neutral comments and the scope of this research is collecting texts about the dramas in Thai language, but it does not cover slang, misspellings, and dialects. Moreover, the implemented web application for analyzing opinions about Thai dramas on Twitter is developed to help analyzing and summarizing the preferences for Thai dramas. All words of collected Thai messages will be looked up in the vocabulary list created for the Thai dramas. Then, the word vectors of messages are generated for training a learning model using the Naïve Bayes approach. After that, the model will classify the comments about the dramas, whether most consumers like or not like the drama. The developed system is expected to be a tool that will be able to make decision watching the dramas easier and this will be beneficial to the drama producers to facilitate planning the production of the dramas in the future.
Keywords: Sentiment analysis, Thai dramas, Naïve Baye
Effect of Step Layer Width and Electric Field on Single-Particle States in Step Quantum Well Structures
The single-particle states in AlGaAs/GaAs and GaInNAs/GaAs step quantum well structures have been theoretically studied by solving straight-forwardly the Schrodinger equation in real space. The electron and hole energy levels were calculated for different well widths and step layer widths. It was found that the energies are decreased with increasing the well width and step layer width, but the change is very small for a wide layer. There are two states with few meV energy splitting observed at the energy a bit above the step potential. Therefore, these two levels can be controlled by varying the step potential. The electron and hole energies in AlGaAs/GaAs and GaInNAs/GaAs step quantum well structures were compared to that in the single squared quantum well. The results showed that the energies decrease with the same trend and comparable percentage for both electron and hole cases. The ground state energy can be decreased up to nearly 50% for the step layer of 10 nm at small well width. The electron and hole energies were also calculated for applied electric fields up to 200 kV/cm. The tilted potential due to the electric field results in the localization of electron and hole in the different layer and breaks the symmetry of their wave functions. At a large enough field, the ground-state electron (hole) is confined in the left (right) step layer which corresponds to the anticrossing at around 130 kV/cm for electron and 70 kV/cm for hole in the field dependence of energy profile.
Keywords: step quantum wells, step-layer width, single-particle stat
The Nutritional Value and Antioxidant Activities of the Developed Thai Fermented Bhutan Oyster Mushroom (Pleurotus eous)
“Nham” Thai fermented sausage food product developed from Bhutan oyster mushroom (Pleurotus eous) and mixed with cooked Riceberry rice was compared to Bhutan oyster mushroom mixed with cooked white rice. The objectives of this experiment were to develop Nham Thai fermented food and observe the natural probiotic lactic acid bacteria, microbial pathogens contamination, antioxidant activity, and nutritional composition. The results indicated that fermented Bhutan oyster mushroom had pH value of 4.41 to 4.51, while the percentage of lactic acid was 0.46 to 0.55. Fermented Bhutan oyster mushroom had natural probiotic lactic acid bacteria at approximately 107-108 CFU/g. Microbial pathogens including Escherichia coli, Staphylococcus aureus, Salmonella sp., Clostridium perfringens, yeasts, and molds were not found in products. For total phenolic content and the percentage of free-radical inhibition, the fermented Bhutan oyster mushroom mixed with cooked Riceberry rice contained higher amounts than fermented cooked white rice. Moreover, the fermented Bhutan oyster mushroom mixed cooked Riceberry rice had high protein and dietary fiber while having low fat, low carbohydrate, and low energy. Hence, the development of “Nham” Thai fermented sausage could benefit from the use of Bhutan oyster mushroom mixed with cooked Riceberry rice in processing. It is suggested that this product could be used as an alternative vegetarian food.
Keywords: Fermented Bhutan oyster mushroom, Lactic acid bacteria, Antioxidant activities, Nutrient content, Dietary fibe
Chemical Modification of Unwanted Flora (Hanguana Malayana) as Activated Carbon to Remove Methylene Blue and Congo Red
Wastewater is well-known hot issue of environmental pollutions that require a solution hurriedly. Organic dye is a severe toxic contaminant in water. In this work, Hanguana Malayana used as carbon source was chemically activated as activated carbon. The biochar was carried out by the pyrolysis through the heat treatment at 200 °C under low O2 atmosphere. The resulting powder was activated by using ZnCl2 under hydrothermal conditions at 120 °C for 24 h, and further heat-treated at 300 °C for 1 h. The as-prepared product was verified by XRD, FT-IR, SEM, and BET. There were large surface area and many functional groups on the surface of the as-prepared product. All amounts of methylene blue (20 ppm, 50 mL) were removed by 50 mg of activated carbon, meanwhile very few amounts of Congo red (20 ppm, 50 mL) were eliminated. This work showed the benefits on increasing an add-value of Hanguana Malayana by the chemical process together with eliminating unwanted flora and toxic dye chemicals in water.
Keywords: methylene blue, Congo red, activated carbon, adsorption, Hanguana malayan
Guidelines for Designing Wheelchair-Accessible Houses for People with Disabilities
Interior environmental design can improve the quality of life of people with disabilities, as it enables them to live normally like everybody else in both public and private places. Therefore, this study focuses on creating clear and practical guidelines for designing accessible houses that can accommodate wheelchair users in the most efficient way.The objectives of this research were 1) to explore the characteristics of interior architecture and accessible facilities for wheelchair users, 2) to study the problems and needs of wheelchair users in terms of environments, behaviors, and activities, and 3) to create clear and practical guidelines for designing accessible houses and environments for wheelchair users. A qualitative design was employed in this research. The preliminary data collected through the observational survey were used to analyze the feasibility of the project and improve the research tools before being used for further data collection. The obtained data were analyzed, summarized, and prioritized in order to find appropriate solutions and create design guidelines.The results suggested that the design of wheelchair-accessible houses should place importance on two main points: 1) accessibility, which enables wheelchair users to access all areas both inside and outside the building, including flooring height level, passage width or size, and flooring materials and surfaces, and 2) usability, which enables wheelchair users to use all spaces in a convenient and effective way. The design of wheelchair-accessible houses should take into account various related factors, covering the proportion of spaces suitable for wheelchair users, dimension of furniture, installation of wheelchair-friendly technologies and facilities, and special areas for disabled people that require a specific design, such as bathroom, bedroom, and kitchen. All elements should be designed based on the concept of easy-to-use, convenience, and safety. The findings of this research can be used to create practical guidelines for interior architectural design and to develop detailed designs for the construction of wheelchair-accessible houses for people with disabilities.
Keywords: Residential renovation, disability, wheelchai