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This study aimed to know the effectiveness of oblique light for document examination in detecting indented writing on different types of papers and to study the properties of writing through the detected indented writing. Quantitative research was used, to determine that the oblique light source used to establish its effectiveness came from the left and right sides, ten millimeters above the sheet of paper, and the oblique light source at an angle of 10° to the level line. The study used different papers. - 70 and 80 gsm copy paper and 70 gsm report paper. It also studied the influence of pen types used in writing using gel ink pens and ballpoint pens, which, according to studies, showed that oblique light inside the proof of document examination a maximum of 3 sheets of indented writing on parchment sheets. Ballpoint pens writting on 70 gsm, 80 gsm, and report papers averaged 1.5, 1.2, and 1.2, respectively. Gel pens writting in 70 gsm, 80 gsm paper and report paper in the ink pen averaged 1.0, 1.0, and 0.8, respectively. Although the average number of sheets of paper detected for indented writing was different, according to the analysis of two variances factored at a statistical significance of p<0.05, different types of paper and pens did not affect the effectiveness of detecting pressure marks with a poof of document examination. The research will be useful in examining documentary evidence in forensic science. [ABSTRACT FROM AUTHOR]

This research presents the design and fabrication of a semi-automatic paper petal compression machine with a pneumatic system to crease paper petals for making artificial flowers. The description comprises the procedures of defining operating characteristics for the machine, drawing its function diagram, designing the pneumatic circuit and the electrical circuit, calculating and choosing the dimensions of pneumatic components, and studying optimum paper petal compression conditions and appearances of creases on the paper petals. The machine can be used to compress the paper petals in four positions at the same time. The experimental materials were the paper of 55 and 65 gsm which was cut in the petal shape. The experiments were done by rolling 6, 8, 10, 12, 14, and 16 pieces of paper petals into hollow cylinders of which four rolls of those with the same number of paper petals were compressed simultaneously at the operating pressure of 0.6 MPa. The results showed that the machine could be used to compress the paper petals of 55 gsm to provide quite noticeable and consistent creases in the range of 6 to 14 pieces per roll, while the paper petals of 65 gsm were in the range of 6 to 12 pieces per roll. [ABSTRACT FROM AUTHOR]

This research aimed to study the optimal condition of natural color extraction from the bracts of Bougainvillea glabra and to develop a cosmetic product containing color lake from the red-purple bracts. The dye extraction was optimized for three conditions (solvent concentration, solid-liquid ratio, and extraction time) and analyzed by spectroscopy. The obtained dye was synthesized into lake pigments in 7 different salts. Then, the red-purple lake was investigated by colorimeter and Fourier-transform infrared spectroscopy (FTIR). Lipstick containing the pigment was developed. The optimal condition for dye extraction from the bracts was with 50% ethanol, a solid-liquid ratio of 1:30 g/mL, and an extraction time of 30 minutes. Interestingly, the paper flower lake pigment was only prepared from aluminum chloride. The whiteness (L), redness (a), and yellowness (b) of the aluminum lake were 37.51 (±1.62), 10.23 (±0.12), and 12.65 (±0.22), respectively. The infrared spectrum of the aluminum lake sample appeared at a wavenumber of 1624.38 cm'1 that indicated carbonyl group (C=o stretching) connected with amide bonds. All of the lipstick formulations containing aluminum lake in this experiment were not sweaty. The lipstick consisting of 1% red-purple lake had the closest color with the master formula (AE=1.24), aand its melting point was 65.3 (±0.3) °C. เท conclusion, this research found a novel cosmetic ingredient to overcome the lipstick sweating problem. [ABSTRACT FROM AUTHOR]

The purpose of this experiment was to study the appropriate concentration of 1-Naphthalene acetic acid (NAA) on the growth of Paper Flower, a climbing shrub. A Completely Randomized Design (CRD) was arranged comprising four treatments: control, and NAA at concentrations of 1,000, 2,000 and 3,000 mg/liter. Each treatment consisted of four replications, ten plants per replication. The experiment was carried out during November, 2016 to March, 2017 at Nursery Building, Mahasarakham University. The results showed that the application of NAA at 2,000 mg/liter gave the highest root length, both root sizes and survival percentage for the cutting of Paper Flower. [ABSTRACT FROM AUTHOR]

This study aimed to compare the macronutrients of earthworm manure derived from degradation of paper and organic waste. The two different species of earthworms used were Pheretima peguana (PP) and Eudrilus eugeniae (Common name: African Night Crawler) (AF). The vermicompost experiment was prepared by filling loose soil in two containers to 6 inch height (the weight of 13 kg), then sprinkling water to adjust the moisture content to about 70-80%. Each species of earthworm was then mixed with the soil for 0.2 kg each tank. Food for earthworms were prepared by mixing crushed fresh garbage and dry leaves (mixing ratio of 1:1 by weight) and paper waste and sprinkling with effective microorganisms (EM) for 50 ml/L. This combination was then applied to the fermenting containers for about 2 cm thick (the weight of 1 kg) and kept for 2 months. This experimental research and analysis was carried out at a laboratory scale. From the experiment of vermicomposting from degradation of paper and organic waste using two different species, the results showed that AF produced higher macronutrient content with total nitrogen, available phosphorus, available potassium, organic matter, cation exchange capacity (CEC) and electrical conductivity (EC) at the highest levels of 0.440%, 0.030%, 0.352%, 11.770%, 16.277 Cmol/kg and 1.200 dS/m, respectively. The earthworm AF species are large in size, having high capacity to degrade organic waste. The organic waste used in this study was garbage with a variety of vegetables, food and dry leaves, which was rich in nutrient elements. The pH of all four earthworm’s manure varied from 7.347 to 7.667. Results from this study show that the earthworm species AF which has large body, could degrade organic waste well. In addition, the organic waste containing a variety of vegetable waste, food waste and dry leaves, which are sources of nutrients so that containing the nutrient elements in large quantities. [ABSTRACT FROM AUTHOR]

The objective of research was to study the intensity of respirable dust exposure, irregular's respiratory system and behavior of personal protective equipment for respiratory protection in pulp and paper manufacturing factory employees in Khon Kaen. For a case study, we collected information from employees using 6 work scopes, in two departments1 Preparation of Materials2 Produce lime and chemicals for return [in total 18 examples]. We found that the Intensity of respirable dust in both departments had a mean equal to 0.22±0.13 mg/m3 and 0.12±0.06 mg/m3 respectively [95%CI=0.02-0.41] and there for passed the standards announced by the Ministry of Interior and Occupational Safety and Health Administration [OSHA]. Lung efficiency information derived from Annual Health checkups between 2013-2015 indicated that employees tend to irregular lung efficiency with values of FVC, FEV1 and FEV1/FVC in 2 types as [FVC < 80% FEV1 and FEV1/FVC > 70% and FVC >80% FEV1 and FEV1/FVC < 70%] are increasing and employees [50 people, 60.98%] mostly choose a cloth mask for respiratory protection. 33 people [40.24%] did not wear a respirator because they found it uncomfortable. Hand cleaning after work' behavior occurred in 64 persons [78.05%] and the incidence of training in hazards from total dust within 1-3 mouths amounted to 57 persons [69.51%]. Even if intensity of respirable dust is not over standard levels, a hazard to health may accumulate in the long term. The factory should be more concerned with employees' health. [ABSTRACT FROM AUTHOR]

This cross-sectional descriptive research aimed to study the sound levels, abnormal symptoms and the correlations between abnormal symptoms of noise exposure in workers and sound levels of paper plant. Measurement carried out by using sound level meter and abnormal symptoms questionnaire. The stratified random samples were 155 employees by collecting data during January to March, 2017. The results revealed that the equivalent continuous sound level (Leq) 8 hour work day (TWA) were 75.5-89.4 dB(A). Department of Energy was the area that has sound at the highest level with 89.4 dB (A). Department of Maintenance support was the area that has the lowest sound level with 75.5 dB (A). The minimum sound level (Lmin) to maximum sound level (Lmax) was 71.7-97.9 dB (A). The minimum area of sound level was found at Department of Instant production with 71.7 dB(A) and the maximum area of sound level was found at Department of Chemical recovery production with 97.9 dB(A). The study of abnormal symptoms of noise exposure in workers by interviewing with 1 symptom were 30.32%, two abnormal symptoms were 21.94% and more than or equal three abnormal symptoms were 47.74%. Most of abnormal symptoms were stress, headaches, tinnitus, no concentration and dizzy. The correlations between abnormal symptoms of noise exposure in workers and sound levels of paper plant was no statistically significant. Sound prevention exceeded standard of paper plant should restrict sound level to meet the standard by measuring annually along with monitor abnormal symptoms of workers including study the others factor that correlated with abnormal symptoms. [ABSTRACT FROM AUTHOR]

Generative Adversarial Networks (GANs) are a class of deep neural networks that can be used to generate data examples in imbalanced data situations. GANs consist of two simultaneously trained modes: generative and discriminative modeling. The generative model generates new data as random noise from the training dataset, and the discriminator model distinguishes examples from generated new data and real data. We studied the overlapping data transfer during a generating model in distributed real-time data streaming. This paper proposes a new extension method on GANs called GANs2T based on tabular time series to improve the model performance and execution time. We use this technique to capture the covariance structure of the minority class and to generate synthetic samples along the probability contours for learning algorithms on streaming data. The experimental testing is performed on binary-class and multi-class imbalanced learning methods from several benchmark datasets. The results validate GANs2T combine with the XGBoost (GANs2T+XGBoost) algorithm for the overall accuracy = 84.93%, precision = 90.48%, recall = 88.13%, F1-score = 89.93 and average training time for training model = 60.20 seconds. [ABSTRACT FROM AUTHOR]

This study investigated municipal solid waste (MSW) composition, energy potential, and estimates of greenhouse gas (GHG) emissions from the current MSW management practice and the future MSW management scenarios of Mandalay municipality, Republic of the Union of Myanmar. Waste sampling was performed in March 2019 for two transfer stations, with garden and park waste accounting for 45.4 % by wet weight of MSW. Plastic, food, and textile waste accounted for 15.4, 14.4 and 11.0 wt%, respectively. The rest (13.7 wt%) comprised small pieces of wood, rubber, leather, paper, nappies, metal, and glass. The moisture content of MSW samples was 43.2 wt%. Based on this composition, the energy potential from MSW was approximately 2,357 TJ. The equivalent electricity production potential ranged from 5.2-10.3 MW, assuming an overall power plant efficiency of 10-20% and 300 working days per year. The amount of GHG emission from MSW management was estimated, using 2006 IPCC guidelines for national GHG inventories, to be 94 Gg carbon dioxide equivalent (CO2-eq) in 2019. MSW generation up to 2030 was forecasted using the univariate Grey model (GM (1, 1)). Under a business-as-usual (BAU) scenario, the GHG emission will increase to 820 Gg CO2-eq in 2030. This study proposed two alternative MSW management scenarios for GHG mitigation based on the Mandalay waste management strategy. The first scenario (S1) represented the case where waste collection efficiency and recycling were enhanced, and the composting and aerobic digestion facilities were operated. The second scenario (S2) described the case where additional material and energy recovery through reuse and recycling, composting, anaerobic digestion, and waste-to-energy power plant were implemented. S2 also included conversions of all landfills into semi-aerobic landfills. The results showed that in 2030, S1 and S2 could reduce GHG emissions by 6% and 55%, respectively, compared to the BAU. [ABSTRACT FROM AUTHOR]

MQ Telemetry Transport (MQTT) has been designed and developed for an ultra-low bandwidth communication and has been applied to used in Internet of Things (IoT). Recently, MQTT has been used in traditional TCP/IP networks. Yet, the ultra-low bandwidth and long-range communication of MQTT have been considerably increased. Previous proposed techniques still struggle to make MQTT compatible with Long-Range (LoRa) networks. In this paper, we have design and implement the Telemetry Media Access Control (TMAC). Our TMAC helps increase ranges of MQTT's data communications. We have experimented our TMAC using a network testbed. Experimental results have illustrated that our TMAC can transfer data over 5 kilometers with low network overhead. [ABSTRACT FROM AUTHOR]

This paper describes urban flood vulnerability using a vulnerability index which consists of four vulnerability issues encompassing social, economic, environmental and physical issues. The study was carried out by selecting variables affecting the flood vulnerability, collecting and analyzing corresponding data, developing equations for computing the flood vulnerability indices, and calculating the corresponding indices. Comparison of the flood vulnerability was made using data from three cities, namely, Hat Yai, Chiang Mai and Ubon Ratchathani. The results showed that the cities ranged from highest to lowest flood vulnerability were Chiang Mai, Hat Yai, and Ubon Ratchathani. In addition, Chiang Mai is considered to be the most vulnerable to social and environmental issues while Hat Yai is most vulnerable to the economic issues and Ubon Ratchathani is most vulnerable to the physical issue. [ABSTRACT FROM AUTHOR]

Coronaviruses are viruses causing diseases both in humans and animals. There are 7 strains reported to be capable of causing diseases in human including HKU1, NL63, 229E and OC43. These strains are causative agents for common cold having mild symptoms that can be alleviated by supportive care. The other 3 strains, SARS-CoV, MERS-CoV and SARS-CoV-2, are mutated strains derived from animal infected coronaviruses. Since human bodies have not been exposed to and have no immunity to these novel viral strains, they cause serious diseases in human including SARS, MERS and COVID-19. Moreover, these 3 coronaviruses spread worldwide, kill many people and enormously damage the global economy. This paper gathers information from publications about coronaviruses, especially the 3 novel strains spreading worldwide, to demonstrate their relationship. Having no intention to give profound information on any aspect, this paper is readable and comprehensible for the general public. [ABSTRACT FROM AUTHOR]

This paper reports the development of hybrid monitoring and analysis software for those who are interested in hybrid analysis. When the machines were operating, the situations that made motor current, vibration and oil could demonstrate the characteristics of machinery status. Somehow, to provide engineers could detect and make maintenance plans by observing and collecting the data as speed and magnitude to compare with ISO standards. This may be of benefit in many industries such as aerospace and industrial power plant etc. เท the experiment, the software may collect the data from a sensor through Nl hardware. To experiment the project for testing by using the virtual machine, the experiment has gone through the motor rotation and add the mass on shaft to compare the data and distinguish the status that shows upon interface the program. เท this paper, the performance was analysed based on the RMSE between fuzzy logic and Neuro-fuzzy systems on MATLAB. The result errors obtained from fuzzy logic of 70% to 140% were relatively higher if compared to Neuro-fuzzy systems of 3% to 37% due to Neuro-fuzzy training from real hybrid data but fuzzy systems designed reference follow ISO standard. [ABSTRACT FROM AUTHOR]

The semi-transparent photovoltaic thermal module (SPVT) is a solar module that can generats electricity, heat and part of sun light through the module while operating, which is beneficial for improving of solar utilization per area of the module. This paper presents the effects of the natural and force flow patterns on the efficiency of the SPVT module. The 100 W SPVT module had an area of 0.72 m2 and was designed, studied and experimented at Mahasarakham University. The solar module temperature, water temperature, ambient temperature, solar irradiation and electrical parameters were measured every 15 minutes. The analysis of results showes that the water with active flow pattern induces a module temperature lower than in the passive flow pattern. The active flow of water at 0.02 kg/s causes maximum electrical efficiency, thermal efficiency and overall efficiency of SPVT module by 12.37%, 49.36% and 62.09% respectively. Moreover, thedSPVT module provides sufficient illuminance for the general area during the day. [ABSTRACT FROM AUTHOR]

This paper presents the cascade PI controllers design for a boost converter using an adaptive tabu search algorithm. The dynamic model of the power electronic system derived from the generalized state-space averaging method is used as an objective function instead of the model from software packages. intensive time-domain simulation results show that the offered methods can provide a better response to the output voltage of the boost converter than the conventional method. In terms of the faster rise-time and settling time and lesser percent overshoot, which were 1.44 seconds, 2 seconds, and 0 percent, respectively.sAlso, this approach is useful and flexible for electrical engineerg to design a controller of power electronic systems with good performancs. [ABSTRACT FROM AUTHOR]

Human activity recognition using streaming data from the accelerometer sensor of smartphone is still an interesting issue for researchers. Most researches develop the recognition model based on personal model type which require the training data obtained from only user who will utilize the model. To prepare the training data, the user must perform various activities and annotate them within the specified time. This is a major inconvenience for the users. In this paper, we propose a new smartphone-based dynamic framework for physical activity recognition named "ISAR+". The new framework is an impersonal (universal) model which can be built once and used on new users without requiring labeled training data from those users. Because the proposed model is adaptability with evolving data streams of each new user by using the incremental learning for real-time recognition. This work was validated the proposed model in terms of prediction accuracy and usage times on two public activity recognition datasets. The experimental results show that ISAR+ can achieve the best performance compared with the state-of-the-art models for streaming activity recognition, especially across different users and without inquiry from users. The ISAR+ has demonstrated the average accuracy more than 85% in both datasets. [ABSTRACT FROM AUTHOR]

Milk collection centers collect raw milk from farmers and measure both its quantity and quality. Both data are used to calculate payments to farmers. Daily operations at the center include quality assessment, i.e. alcohol test, methylene blue test and somatic cell count. Laboratory assessment includes pasteurized count, total solid and somatic cell count. At present, the results of assessment are manually recorded on paper and are then inserted into an Excel file for money calculation. The serious problem with this method is that their errors occur during manual recording, delaying the calculation process because the workers must trace back and correct the errors. This research aims at 1) developing an innovation for milk collection centers by deploying information technology, and 2) reduce error and time during the data collection. We developed an information system following Model View Control (MVC) architecture, which allows for rapid development of the system, and, more importantly, support further scalability in the future. The developed system provides both convenience and precision in the data recording process, and helps reduce errors and time consumption significantly. [ABSTRACT FROM AUTHOR]

The Satin Bowerbird Optimization (SBO) is a recently developed meta-heuristic optimization algorithm which was inspired by the Satin Bowerbirds living in Australia's rainforests and other mesic habitats. Like other meta-heuristic algorithms, the main problem faced by the SBO is that it has been empirically demonstrated to become easily trapped into local optimal solutions, creating low precision and slow convergence speeds. Therefore, in an effort to enhance global convergence speeds and in order to obtain a better performance, this paper introduces the chaos theory into the SBO optimization process. Various chaotic maps were considered in the proposed Chaotic-SBO (CSBO) method in order to replace the main parameter's greatest step size (), which assists in controlling both exploration and exploitation. The proposed CSBO methods are benchmarked within the CEC2014 test problems. The numerical results show that these novel algorithms improve the chaotic maps, especially in the Tent map, as well as improving the performance of the original Satin Bowerbird Optimization Algorithm. Specifically, the CSBO10(Tent) achieved the best performance. [ABSTRACT FROM AUTHOR]

This paper compares the performance of speed responsesgiven by the direct vector control system of an induction motor. The four PI controllers are incorporated in such a control system with eight state-variables. The coefficient matrix of the above closed-loop system holds eight eigenvalues. The direct computation method and random selection was used to specify all the PI gains. The direct method proceeds with a decision on eight appropriate negative integers of eigenvalues and then solving a set of eight simultaneous polynomial-equations. All its roots become proper PI gains. The random selection assigns arbitrarily each PI gain to a positive integer. When all the parameters of the induction motor and its mechanical load match with the corresponding nominal values and when some parameters deviate from the corresponding ones, the direct method providesspeed responses preferable to those caused by random selection. Five instances are included in simulation. These involve matching between each parameter and the corresponding nominal value, atenfold increase of either rotor resistance, stator resistance, or moment of inertia from the corresponding one, andsimultaneously a fourfold increase of rotor resistance, stator resistance, and moment of inertia from the corresponding ones. [ABSTRACT FROM AUTHOR]

This paper demonstrates design of a commercial aircraft at the conceptual design stage by considering 2 objective functions i.e. minimization of aircraft maximum takeoff weight and maximization of lift-to-drag ratio multi-objective evolutionary algorithms (MOEAs). Dynamic stability is taken as a design constraint while design variables include geometrical properties of the plane, consisting of the wing, empennage and fuselage. The aerodynamic coefficients of flight were calculated by using SUAVE (Aerospace Conceptual Design Environment) whereas dynamic stability analysis was achieved through using Athena vortex lattice (AVL) software. Pareto front obtained from various MOEAs are compared by Hypervolume. MOEAs are contained as MOEA / D, Two-Arch2, RPBILDE, PICEA-g, KnEA/A-ENS and KnEA. The obtained solutions for aircraft can be used for further design in the preliminary design stage. [ABSTRACT FROM AUTHOR]

Plagiarism is deemed a serious ethical offense. Without proper protection and accurate detection algorithms, the number of innovations would significantly dwindle, impeding the advancement of national research and education. Especially in programming courses, plagiarism is extremely common. Most students tend to do their homework in the simplest way: copying the source code of others. Such unpleasant issues must be addressed to preclude this misbehavior before it becomes students’ habit, and to promote positive attitudes in our juveniles. In this paper, we, propose an algorithm to identify original source codes, helping instructors to pinpoint whom to monitor and be able to set measures or correctly warn each wrong-doing student. This work introduces a rule, derived from a m+l evolutionary algorithm, for identifying which source codes are original. First, we run the maximum spanning tree algorithm to generate a phylogenetic tree, representing the relationships and sequences of plagiarisms. Then, we apply our proposed rule to identify the source and its copies, whose relations are represented by arrows’ directions. The experiment result shows that the proposed rule yields the accuracy of 90.24%. [ABSTRACT FROM AUTHOR]

Nowadays, most universities provide a learning management system (LMS) to support teaching and learning. These LMS provide an ability to publish learning content, announce news and exchange opinion etc. However, most students may not pay attention to LMS when compared with online social media which play a key role in student’s everyday life. This paper presents the development of a Facebook application called F-learning for supporting Moodle LMS by presenting activities such as quiz and assignment files. F-learning will notify students through Facebook when activities have been updated. Moreover, F-learning is also able to rank quiz score by H-index concept, rewarding the top-3 in each course, displaying and sharing overall medal table in accordance with the Gamification concept. The evaluation results reveal that F-learning can motivate students to use the learning manage system. [ABSTRACT FROM AUTHOR]

This paper examines a deep convolutional neural network (Deep CNN) for plant recognition in the natural environment. The primary objective was to compare 4 CNN architectures including LeNet-5, AlexNet, GoogLeNet, and VGGNet on three plant datasets; PNE, 102 Flower, and Folio. The images in the PNE and 102 Flower dataset include a complicated background because they were taken in a natural environment. On the other hand, the images in the Folid dataset are only leaf images that were taken in a laboratory environment using a white background. The comparison of deep CNN using GoogLeNet and VGGNet Architecture show that GoogLeNet outperformed while working on the PNE and 102 Flower dataset when using a training time with iterations of 10,000 epochs. also faster than the VGGNet architecture. However, the experiment showed that the VGGNet architecture outperforms the other CNN architectures on the Folio dataset and used only 1,000 epochs for training. In our experiment, we can create a model from the deep CNN using GoogleNet architecture, and this is because it showed better results with the plant images that were taken in the natural environment. [ABSTRACT FROM AUTHOR]

In this paper, factors affecting mechanical properties and metallurgical structure of semi-solid aluminum alloy grades 356 and 7075 were investigated by a transient liquid-phase bonding method. ZA 27 zinc alloys were used as coagulants (solders) in a liquid state during the welding process. Semi-rigid aluminum castings with butt joints were prepared as a cylindrical shape 12 mm in diameter, 45 mm length and ZA 27 zinc alloys were 12 mm in diameter, and 0.25 mm thick. Variables in this transient liquid-phase bonding method included 60 minutes and 120 minutes welding time, welding temperatures at 450, 500 and 550 degrees Celsius, compression pressure at 4 MPa, and the flow rate of argon gas atmosphere at 4 liters/min. According to the results, the physical characteristics of all samples were well bonded. The microstructure in the bond line showed that size of the grain had grown because of the heat during transient liquid-phase bonding. However, at temperature 550ºC and compressive holding time for 60 minutes some porosities showed after welding, and the tensile strength of all samples were broken in the bonded line. However, at temperature 500ºC and compressive holding time 60 minutes, the maximum average tensile strength at 103.06 MPa was in the bonded line area where the hardness properties were higher than in other areas. In short, transient liquid-phase bonding technique could reduce welding time when compared to the diffusion bonding process. [ABSTRACT FROM AUTHOR]

In this paper, we study the properties of open sets, closed sets, closure operator and interior operator on minimal structure space. We will provide characterization of -submaximal space by using various kinds of generalized closed sets and open sets. [ABSTRACT FROM AUTHOR]

In this paper, a multiple-tube electrostatic collector for removal of particulate matter from the tobacco monopoly exhaust was designed and theoretically and experimentally evaluated. The designed collector consisted of a simple array of coaxial discharge electrodes placed along the axis of six cylindrical collection tubes with a diameter of 50.8 mm and 613.6 mm in length; the discharging electrode with diameters of 1.1 mm and the insulator was used to electrical insulate between electrodes and cylindrical collection. The diameter of the insulator was 80 mm and 88.9 mm in height. In this study, a 30 kV DC power supply was used to apply DC high voltage to the discharging electrode in the range of about 0 to 30 kV, while the collection electrode was grounded. The current-voltage characteristics of the multiple-tube electrostatic collector were analytically calculated. It was shown that the discharged current increased with increasing applied corona voltage, in the range between 26 and 332 μA. In order to study the collection efficiency of the collector, the particulate mass concentration at inlet and outlet of the precipitator was sampled by the isokinetic sampling at the particulate flow rate of about 10 L/min and the operating pressure of about 1 bar for 15 min per sample. The overall collection efficiency of the present precipitator was found to be about 75 %. Finally, the designed electrostatic precipitator appeared to be a promising apparatus for collection of particulate matter from tobacco monopoly exhaust. [ABSTRACT FROM AUTHOR]

The behavioral time periods that cows spend standing, grazing, and lying during each day can be used data to predict their health. To assist the prediction, this paper proposes a method to determine a scoring system of the behavioral time periods of cows. A reference time series, the average of the behavioral time periods of the leadership of the herd, is generated and used to measure the similarity with the behavioral time periods of cows by using Dynamic Time Warping (DTW). The result of this process is an accumulated distance. The experimental results by using five cows for ten days were recorded. The data on the accumulated distances indicate that they can be used for identifying the health of the cow. [ABSTRACT FROM AUTHOR]

This paper aims to do a comparative study of local feature descriptor techniques and convolutional neural networks (CNN) for retrieving Thai silk pattern images. Two feature descriptor techniques, the histogram of oriented gradients and the scale-invariant feature transform, are compared to extract feature vectors from the silk pattern images. We combined the feature vectors extracted from feature descriptor techniques with k-nearest neighbors (KNN) and support vector machine. Then we modified CNN architectures: LeNet-5 and AlexNet. The LeNet-5 was modified by increasing the number of neurons in each layer of the fully connected layers. The AlexNet architecture was modified by reducing the neurons in each layer of the fully connected layers. Finally, we evaluated the local descriptor techniques, the existing CNN architectures and our modified CNN architectures on Thai silk pattern dataset. The results of the study showed that the local descriptor techniques combined with KNN algorithm significantly outperform the CNN methods. [ABSTRACT FROM AUTHOR]

This paper explores the model of drainage suitability using time series forecasting techniques. The purpose is to study statistical forecasting techniques suitable for time series data. The model of water drainage suitability was compared by using 4 methods forecasting techniques were Simple Linear Regression (SLR), Moving Average (MA), Simple Exponential Smoothing (SES) and Holt-Winters’ Exponential Smoothing. In this research, which are drainage information form Rama VI Dam, Pha Nakhon Si Ayutthaya in the experiment. Measurement of forecast with 3 methods were Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The experiments showed that the of the lowest drainage prognosis was Predictive value by Holt-Winters’ exponential smoothing, which was = 0.068, with the values of = 3, MAPE= 0.882,MAPE = 0.051 and = 0.312. The secondary mean is with MAPE= 0.179. Simple exponential smoothing (SES) has a = 0.249 by setting = 0.3. Finally, a simple linear regression was used to obtainMAPE = 0.854. The Forecasted data were not used in 2015 by . The lowest value of MAPE= 0.033 indicates that the predictive value of this method is appropriate for the drainage pattern. [ABSTRACT FROM AUTHOR]

This paper applies Swap Method (SM) and Adjustment Method (AM) used in the process of the Shuffled Frog Leaping algorithm (SFL) for searching the optimal design. The results are compared with those from Particle Swarm Optimization (PSO) which was proposed in [1]. The experimental result shows that the optimal design from PSO and SFL using AM is superior to SM in terms of quality of solution for all problems, although the AM requires more computational time than the SM. However, in comparing the performance of two algorithms based on mean value, we can see that PSO and SFL are not significantly different, but the computational time of SFL is higher than PSO for all problems. [ABSTRACT FROM AUTHOR]

This paper presents the carbon footprint assessment of the Faculty of Science and Technology, Phranakhon Si Ayutthaya Rajabhat University. Direct and indirect greenhouse gas (GHG) emissions were calculated and data was collected in the academic year 2016 (August 1st, 2016 to May 31st, 2017). The major sources of GHG emissions were classified into seven main categories, which were 1) refrigerant of air conditioner, 2) fire extinguisher, 3) office supplies, 4) fuel consumption, 5) electricity consumption, 6) running water and 7) solid waste disposal. This research aims to use the result as a database, analyze resource use and GHG emissions to the environment in order to contribute to strategy planning on future GHG reduction. The total carbon footprint of the Faculty of Science and Technology was 3,559.644 ton CO2eq/year and the average carbon footprint per person was 1.855 ton CO2eq/individual. From the calculation, refrigerant of air conditioner was considered as the biggest source of GHG emission generating 2,043.000 ton CO2eq/year. Emissions from electricity consumption, fuel consumption, solid waste disposal, running water, office supplies and fire extinguisher were 1,344.950, 67.578, 65.090, 33.870, 1.714 and 0.264 ton CO2eq/year, respectively. The implementation options for the reduction of carbon footprint were modification of the refrigerant of air conditioner and energy conservation. [ABSTRACT FROM AUTHOR]

In this paper, we propose a local descriptors approach to classify pornographic images. Two local descriptors including the scale-invariant feature transform (SIFT) and the histogram of oriented gradients (HOG) are computed feature vectors from pornographic images. The extracted features are supplied to the K-Nearest Neighbor Algorithm and Support Vector Machine for pornographic image classification. We have evaluated all different methods on the TI-UNRAM dataset. The results show that the HOG and the SIFT combined with the SVM significantly outperform the other methods, including KNN algorithm and image processing technique. Thus, the local descriptors approach can be combined with the SVM for pornographic image classification in order to obtain the effective classification performance. [ABSTRACT FROM AUTHOR]

Named Data Networking (NDN) is a promising candidate for future network architecture, and is well suited to today's complex networks. A named prefix of the NDN Interest-packet has been used for searching a desire data. Furthermore, such NDN data can be temporarily stored in intermediate devices without concerning for locations. So, the Interest-packet plays an important role for NDN network communication. Currently, A Best-Route algorithm has been widely used in the major NDN's network Testbed. However, the Best-Route always selects a lowest routing cost, which is unreliable in disruptive networks. เท this paper, we have developed a Longest Prefix Reduction (LPR) algorithm to handle NDN path-convergence. LPR actively updates routing paths. [ABSTRACT FROM AUTHOR]

This paper aims to study and review the methodology for analyzing roadway capacity. This is an important principle in the design and planning of transportation and traffic facilities. The main contents of this article offer analytical procedures, sample study results, and considers the advantages and limitations of the Indirect Empirical Method, which is a method that can reduce the limitations of field surveys. This method consists of two approaches: (1) capacity calculation according to the manual, for which HCM is the most widely used; however, since this is a guide developed in the United States, it may not be applicable directly in areas where traffic conditions are different, and (2) capacity estimation using the traffic micro-simulation model. The latter approach has limitations on the input data and variables, but has the advantage of accurately simulating the conditions and driver behaviors, thus making the estimation of capacity more reasonable. By capacity estimation using the traffic micro-simulation model, it is possible to develop a roadway and highway capacity analysis in Thailand. There are still relatively. [ABSTRACT FROM AUTHOR]

Optimization of methods for solving equations and engineering problems is currently important. The Traveling Salesman Problem (TSP) is a NP-complete problem solving technique employing the principles of meta-heuristics. This paper proposed a Siamese Rhinoceros Beetles Algorithm (SiRBA), which imitates the behavior of Siamese Rhinoceros Beetles. Movement toward light, food, reproduction and escaping from enemies are used to create a SiRBA which is then used to find the maximum and minimum value of functions, applied to solving engineering problems. Principles of the movement toward the light and smell by flying during an away from solution, Vibration and smell by walking at the near solution. The SiRBA was tested with a quadratic function and the Traveling Salesman Problem (Symmetric TSP). SiRBA was effective at finding a solution. [ABSTRACT FROM AUTHOR]

The aim of this paper is to introduce the notion of generalized terminal sections in BE-algebras and investigate their properties. Furthermore, these sets are considered in commutative and self distributive BE-algebras. Finally, we provide the relationship between self distributive and ideal and the relationship between self distributive and filter. [ABSTRACT FROM AUTHOR]

The objective of this paper is to study effect of black galingale drying by microwave-hot air combination on drying time, surface temperature, color, shrinkage and specific energy consumption. A 1.1 kW heater and a 850 W microwave ovens were used. The drying conditions were conducted at different drying conditions of microwave powers of 100, 180, 300, 450 W and hot air temperature of 40, 50, 60°C. The superficial air velocity of approximately 0.5 m/s was fixed throughout the experiment. The initial moisture content of black galingale about 80.14 % wet basis and it was dried until the final moisture content was 2.88 % wet basis. It was found that the highest microwave energy consumption resulted in the shortest drying time. At the highest temperature of drying of MW450W+HA60°C the surface temperature of black galingale of 85°C and the temperature conditions were conducted at different drying method, it was found that whiteness (L*), redness (a*) and yellowness (b*) of black galingale were significantly (P<0.05) different and the highest microwave energy consumption which in the resulted in the lowest value of shrinkage and specific energy consumption. [ABSTRACT FROM AUTHOR]

Teenage pregnancy is a global and Thailand’s problem bearing on social and public health. Teenage mothers developed adverse perinatal complications -such as preterm births, neonatal deaths and delivered low birth weight babies. This paper aimed to present the situation of teenage pregnancy in the area of incidence of teenage pregnancy in Thailand and its effect on neonatal outcomes which included birth weight and exclusive breastfeeding by analyzing data of The Reproductive Health Survey 2006 and 2009 obtained from the National statistical office. The results show that the proportion of teenage pregnancy increased from 22.1% (2006) to 23.0% (2009) of all women of reproductive age 15-49 year. This proportion was found to be high in teenage pregnant women living in non-municipal area, non-educated and lowest socioeconomic. Regarding the effects on neonatal outcomes, newborn babies with low birthweight were mostly found in teen mom group compared to the other age. Interestingly, the rate of breast feeding of at least 6 months was the lowest in the group of 15-17 years old mothers. [ABSTRACT FROM AUTHOR]

Recently, business enterprises and large organizations worldwide have been migrating their core IT business operations, which once running on premise, to host on cloud platforms in order to reduce cost of ownership and increase return on investment. However, running application on cloud with optimum cost is not as simple as ones' thought because of several factors. One major factor which is the focus of this paper is how to selecting and implementing the efficient algorithms especially the frequently used such as hash algorithms which are part of user registration and authentication functionalities. For this reason, the author has setup the experiment on comparing various hash algorithms in term of execution speed. As a result of this experiment, any developers would readily adopt it as part of development process in no time. [ABSTRACT FROM AUTHOR]

The aim of this research was to identify the fungal species contaminated on rubber sheets in Ubon Ratchathani including Mueang, Khueang Nai, Trakan Phuet Phon and Nam Yuen Districts. The efficiency of cinnamon essential oil used for inhibiting the growth of fungi isolated from the rubber sheets was also investigated and compared with captan. The results showed that 5 species were the most fungi found on the rubber sheets. Aspergillus flavus was the most, followed by Penicillium citrinum and A. tamari, respectively. Paper disc diffusion was used to determine the effect of cinnamon oil to inhibit the growth of P. citrinum and A. flavus. The results showed that cinnamon oil could inhibit the growth of P. citrinum and A. flavus at the minimum concentration of 25,000 ppm with the inhibition zone of 14.47 and 9.62 mm, respectively. Moreover, it was found that cinnamon oil was an effective compound in inhibiting the growth of two fungal species better than captan. The difference was statistically significant at the 95% confidence level. [ABSTRACT FROM AUTHOR]

Nowadays, the use of digital media motivates change in ideas and human learning. With the advantages of the digital media, it has been therefore creatively applied to several research projects for bringing benefits to society. In this paper, the indigo fabric in SakonNakhon Province was used as a case study for creating the infographics and the 2D animations, which generally appear on social networks. Those media interestingly and distinctly present the story and importance of the indigo fabric in SakonNakhon Province. The results of evaluation by the digital media shows that they have creativity and can be used to conserve and introduce the products made of indigo fabric in Sakon Nakhon Province. Furthermore, the developed digital media is attractive and provides entertainment to the audience. The average satisfaction rating of the proposed media, obtained from the assessors, was at a very high level (4.61). [ABSTRACT FROM AUTHOR]

The use of/(-Nearest Neighbors (/cNN) algorithm for recognizing handwritten character scripts is presented in this survey paper. The kNN algorithm, the simple and well-known algorithm for machine learning, is suitable for classification scheme. According to the/cNN algorithm, unknown data is firstly compared with the training samples to compute the similarity function. The most similar k neighbors, which have the smallest distance values, are subsequently selected by using the majority vote. The unknown data is then assigned by determining the number of its occurrences in each class. The most frequent class in k neighbors is finally selected as the output of the classifier. เท this survey, it is found that the handwritten character datasets are collected from the different types of handwriting, including different character sets with the similar structure, a variety of the handwriting styles, incomplete handwritten characters and insufficient number of handwritten character samples. These factors have a directl impact on the performance of the handwritten character recognition. Thus, the robust feature extraction techniques for handwritten recognition can be combined with the/cNN algorithm in order to obtain the effective recognition performance. [ABSTRACT FROM AUTHOR]

This research presents the application of a fuzzy logic system for evaluating students' learning achievement. It study the principles and the configurations behind the fuzzy logic system such as membership function, If-then rule base, linguistic variable and illustrates how. These principles could be applied by educators for evaluating students. เท this system student performance depends on exam paper results and it is evaluated only as success or failure. เท addition, the researchers also compared the fuzzy evaluation method with classical method and t-score method. [ABSTRACT FROM AUTHOR]

Mobile banking (m-banking) is an online banking service via a smartphone application. It is an alternative to internet banking (i-banking), which uses a web based application via a web browser. เท comparison to i-banking, m-banking has been seen as safer and securer. However, several bank-hacking crimes have been reported during the last few years. So, several previous studies analyzed the i-banking security/safety issues. Yet, most of them have not yet focused on m-banking. Some of them have investigated m-banking only on the technical (security) merits but not the management (safety) side. Significantly, most of them have not yet analyzed according to the following critical points occurred crime cases, detailed observation on the real services, experiments to break the real mobile banking systems on the user side. Hence, in this paper, we propose to analyze both safety & security and cover all the aforementioned significant points. By investigating six banks in Thailand, we have found several weaknesses of the m-banking systems. The contribution from this work can provide direction to improve the security and safety of the m-banking systems. [ABSTRACT FROM AUTHOR]

Due to widespread internet access, deployment of internet banking systems has expanded exponentially. Banking on the internet has notable advantages, particularly in terms of convenience however, safety remains a major concern. Several different crimes have been committed against internet banking sites during the last few years, electronic robbery being one of the most common. As a result, several studies have recently been undertaken to better understand the safety issues of internet banking. Yet, to the best of our knowledge, none of the studies compare the safety of internet banking systems between Cambodia and Thailand. Hence, this paper proposes to comparatively study the safety issues of internet banking of three separate banks in Thailand and three banks in Cambodia. The study was done by observing the strength and weakness of the internet banking services by deploying every step of a transaction. The observation criteria were specified by integrating the knowledge from the following: analyzing past internet banking crime cases, following the guideline of the safety standard and analyzing previous literature. From our observations, we found some strengths and weaknesses in both of the countries. This study provides some meaningful guidelines that address the system's comparative strengths and weaknesses. [ABSTRACT FROM AUTHOR]

Several different end-user devices have to authenticate to an egress NAC system prior to granting network access. Nevertheless, enforcing the system to control these devices in a large-scale multi-hop network presents a number of challenges in three main factors including capacity, fl exibility, and validity. Firstly, many open source systems provide insuffi cient capacity to serve the large amount of users. Secondly, several proprietary solutions may reduce the fl exibility of the enforcement. Lastly, due to the Thailand Computer Crime Act of 2007, the failure of collecting valid user MAC addresses into log fi les is still the notable problem in most systems. Hence, this paper proposes the development of an egress NAC system to enhance the aforementioned factors. The experimental results have indicated that our system can effectively provide the capacity under the huge number of concurrent connections. The development outcomes have demonstrated that the system is fl exible especially in achieving complete enforcement without disrupting the network. Furthermore, the system can also store valid log data of users. [ABSTRACT FROM AUTHOR]