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"Todevelop seismic design criteria for buildings, seismic hazard analysis is required to estimate the ground motionintensity with criteria such as peak groundacceleration (PGA). The seismic hazard can be analyzed by using two approaches: deterministic seismic hazard analysis (DSHA) andprobabilistic seismic hazard analysis (PSHA). In these two approaches, theseismic hazard is evaluated from past earthquake events and active faults data. In Thailand, seismic hazard is classified in the low lying regions; however, in recently years,earthquakes have occurred frequently in the North of Thailand. Toprevent and reduce damage due to earthquakes in the future, determinationof seismic hazard is needed. Thisresearch proposes a deterministic seismic hazardmap evaluated from nineteenactive faults affectingThailand. Two types of active faults are considered: first, an active fault in a subduction zone and second, a crustal fault. The seismic hazard is evaluated by using a groundmotion prediction equation (GMPEs). Four GMPEs are weighted equally forseismic crustal fault, and two GMPEs are weighted equally fora seismic subduction zone. The hypocentral distance isused to evaluate the seismic hazard for all ground motion prediction equations.The Northern part and the Western part of Thailand are high seismic hazardregions, because there are active faults with the large possibility of earthquakes of a maximum magnitude. The seismichazards in the North, West and Northeast of Thailand are about 0.60 g.The seismic hazard in Bangkok is about 0.25 g due to the Three Pagoda fault and Sri Sawat fault. The seismic hazard in the South of Thailand is about 0.40 g."

"To develop seismic design criteria for buildings, seismic hazard analysis is required to estimate the ground motion intensity with criteria such as peak ground acceleration (PGA). The seismic hazard can be analyzed by using two approaches: deterministic seismic hazard analysis (DSHA) and probabilistic seismic hazard analysis (PSHA). In these two approaches, the seismic hazard is evaluated from past earthquake events and active faults data. In Thailand, seismic hazard is classified in the low lying regions; however, in recently years, earthquakes have occurred frequently in the North of Thailand. To prevent and reduce damage due to earthquakes in the future, determination of seismic hazard is needed. This research proposes a deterministic seismic hazard map evaluated from nineteen active faults affecting Thailand. Two types of active faults are considered: first, an active fault in a subduction zone and second, a crustal fault. The seismic hazard is evaluated by using a ground motion prediction equation (GMPEs). Four GMPEs are weighted equally for seismic crustal fault, and two GMPEs are weighted equally for a seismic subduction zone. The hypocentral distance is used to evaluate the seismic hazard for all ground motion prediction equations. The Northern part and the Western part of Thailand are high seismic hazard regions, because there are active faults with the large possibility of earthquakes of a maximum magnitude. The seismic hazards in the North, West and Northeast of Thailand are about 0.60 g. The seismic hazard in Bangkok is about 0.25 g due to the Three Pagoda fault and Sri Sawat fault. The seismic hazard in the South of Thailand is about 0.40 g."

"The low-cost WirelessSensor Network(WSN) consists of small battery powered devices called sensors, with limitedenergy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasibledue to the spatial scattering of the nodes. This will lead to an unreliable,limited lifetime and a poor connectivity network. In this paper a novel bio-inspired cluster-baseddeployment algorithm is proposed for energy optimization of the WSNand ultimately to improve the network lifetime. In the cluster initializationphase, a singlecluster is formed with a single cluster head at the center of the sensing terrain. Thesecond phase is for optimum cluster formation surroundingthe inner cluster, based on swarming bees and a piping technique. Each cluster member distributesits data to its corresponding cluster head and the cluster head communicateswith the base station, which reduces the communication distance of each node. The simulationresults show that, whencompared with other clustering algorithms, the proposed algorithm can significantly reducethe number of clusters by 38% and improve the network lifetime by a factor of1/4."

"An active Radio-Frequency Identification (RFID) tag is a low-power device, which is often used as a tracking device, where operation of this tag will be in remote areas from an electrical power source. Therefore, this device requires an independent power source. To meet these needs, solar power may be used, which can be accessed anywhere there is sunlight. Supercapacitors (SC) are used as an energy source to support a solar power system. The advantage of supercapacitors, as an energy storage device, is their long life cycle that means more charging and discharging processes compared to a conventional battery. The design and fabrication of a solar power system for an active RFID tag with supercapacitors as the energy storage will be covered in this paper."

"In any heterogeneous system, porting reconfigurable computing is often a highperformance platform for a broad range of computationally challenging issues.However, efficiently utilizing the maximum potential of these reconfigurablesystems is a difficult job without understanding their performancecharacteristics. This work proposes an analytic performance model using PetriNets (PN) for a Reconfigurable OR1200 (ROR1200) soft-core processor with modelvalidation and verifications. By modeling the ROR1200 system using Petri Nets,both behavioral and structural properties existing in parallel systems wereanalyzed. The Bound Level Analysis with respect to the dependency level of datais also performed on Soft Core Processors (SCP) like the ROR1200, the OR1200and the MicroBlaze."

"Cylindrical uranium dioxide pellets, which are the main components for nuclear fuel elements in light water reactors, should have a high density profile, a uniform shape, and a minimum standard quality for their safe use as a reactor fuel component. The quality of green pellets is conventionally monitored by laboratory measurement of the physical pellet characteristics; however, this conventional classification method shows some drawbacks, such as difficult usage, low accuracy, and high time consumption. In addition, the method does not address the non-linearity and complexity of the relationship between pellet quality variables and pellet quality. This paper presents the development and application of a modified Radial Basis Function neural network (RBF NN) as an automatic classification system for green pellet quality. The weight initialization of the neural networks in this modified RBF NN is calculated through an orthogonal least squared method, and in conjunction with the use of a sigmoid activation function on its output neurons. Experimental data confirm that the developed modified RBF NN shows higher recognition capability when compared with that of the conventional RBF NNs. Further experimental results show that optimizing the quality classification problem space through eigen decomposition method provides a higher recognition rate with up to 98% accuracy."

"The antimicrobial properties of bagasse paper sheets coated withnatural polymers (chitosan, different ratios of (gelatin/glycerol) + chitosan,hemicellulose, hemicellulose + glycerol, hemicellulose+chitosan) orsynthetic organophosphorus dimer compounds were evaluated in this work.Hemicelluloses showed moderate activity against Bacillus subtilis and Candida albicans, while chitosan showed weakactivity against B. subtilis. The condition that offered the highest inhibitoryactivity of bagasse paper was the onecoated with 1,3-diaryl-2,2,2,4,4,4-hexachlorocyclodiphosph(V)azane(where aryl is p-chloroaniline or p-anisidine). The developed bagasse paperswere evaluated against Gram-positive bacteria, Gram-negative bacteria, yeasts, and fungi. The highest inhibitory activity was obtained at a concentration of 200mg/mL for p-chloroaniline with an inhibition zone that varied for differentmicrobes from 6.9 mm to 26 mm. The highest inhibitory activity was obtained at300?250 mg/mL for p-anisidine against most of the pathogenic microorganismswith an inhibition zone that varied for different microbes from 8 mm to 14.75mm. The observed antimicrobial and antifungal activity properties for bagasse paper coated with 1,3-diaryl2,2,2,4,4,4-hexachlorocyclodiphosph(V)azane could be attributed to the presence of Cl, P atoms, and the lone pair ofelectrons on N atoms in the structure of the dimers."

"The routine dailyactivities that tend to be sedentary and repetitive may cause severe healthproblems. This issue has encouraged researchers to design a system to detectand record people activities in real time and thus encourage them to do morephysical exercise. By utilizing sensors embedded in a smartphone, many researchstudies have been conducted to try to recognize user activity. The most commonsensors used for this purpose are accelerometers and gyroscopes; however, wefound out that a gravity sensor has significant potential to be utilized aswell. In this paper, we propose a novel method to recognize activities usingthe combination of an accelerometer and gravity sensor. We design a simplehierarchical system with the purpose of developing a more energy efficientapplication to be implemented in smartphones. We achieved an average of 95% forthe activity recognition accuracy, and we also succeed at proving that our workis more energy efficient compared to other works."

"Diabetes is one of themost serious health challenges in both developed and developing countries. Early detection and accurate diagnosis ofdiabetes can reduce the risk of complications. In recent years, the use of machine learning in predicting disease hasgradually increased. A promising classification technique in machinelearning is the use of support vector machines in combination with radial basisfunction kernels (SVM-RBF). In this study, we used SVM-RBF to predict diabetes.The study used a Pima Indian diabetes dataset from the University ofCalifornia, Irvine (UCI) Machine Learning Repository. The subjects were female and ≥ 21 yearsof age at the time of the index examination. Our experiment design used 10-foldcross-validation. Confusion matrix and ROC were used to calculate performanceevaluation. Based on the experimental results, the study demonstrated that SVM-RBFshows promise in aiding diagnosis of Pima Indian diabetes disease in the earlystage."

"Batik waste can increase water characteristics, such as turbidity, colorand total suspended solids (TSS). Thus, an efficient technique for separatingBatik from the liquid to decrease these characteristics is needed. The aim ofthe current study was to understand the results of flotation using electrolysisand to investigate the bubble characteristics that influence the results of theflotation of Batik waste. Flotation studies have been conducted usingelectrolysis to produce bubbles to separate batik synthetic dye from theliquid. Research conducted with 316L stainless steel electrodes, inside a 100cm tall acrylic pipe with an inner diameter of 8.4 cm and a voltage variationof 10, 15 and 20 V. Batik waste was mixed with distilled water. Commercial alumpowder [aluminum sulfate, Al2(SO4)3.14H2O,that is 17% Al2O3] as the reagent was added to coagulateBatik waste in a ratio of 1 gram per 10 ml of Batik waste. The results showedthat flotation of Batik waste can be used to separate Batik waste with theaddition of alum. Alum was shown to be capable of acting as a collector in thistype of waste separation. The results showed that flotation using electrolysiscould be an effective method for reducing turbidity, color and TSS."