cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2015.146
title: HUMAN ACTION CLASSIFICATION USING MOTION AND APPEARANCE FEATURES FOR ACTIVITY UNDERSTANDING AND ANOMALY DETECTION IN VISUAL SURVEILLANCE

description: Human action recognition is one of the interesting research areas in computer vision. It is an important component of the automated surveillance system which is needed to reduce the insufficiency and inefficiency of human’s role in the system. However, one of the challenges in action recognition is the extracting appropriate features for classification. Good features should contain both motion and appearance information of human. Also, the feature extraction process should automatically adapt to the speed variation of human actions when applying the system to the different performers, actions, and datasets. In this thesis, we propose the Adaptive Key Frame Interval (AKFI) feature extraction to segment human action into primitive action subsequences. The interval length is automatically changed based on the action characteristic and speed of the performer. Once key frames are detected, the features within a segmented period are encoded by Adaptive Motion History Image (AMHI) and Key Pose History Image (KPHI). The features contain both appearance and motion information of human actions. The experimental results demonstrate that the system can differentiate the unusual action from the normal situation. Also, AMHI and KPHI can effectively classify action compared to other well-known algorithms.
DOI: 10.14457/cu.the.2015.148
title: IMPROVEMENT OF PREVENTIVE MAINTENANCE PLAN OF NEW ELEVATOR PRODUCT

description: Using of offshore manufacturing and offshore suppliers for new elevator product is a strategy of multinational elevator's company to focus on both cost reduction and company's core competency. However after this strategy has been used in new elevator product, there were a number of elevator's failures which mainly caused from poor preventive maintenance on elevator's door system. The objective of the research was to develop an improved preventive maintenance plan of door system of new elevator product instead of corrective maintenance. The methodology of the research was performed based on Failure Mode and Effect Analysis (FMEA). FMEA was used for identifying potential failure modes of door system and assigning Risk Priority Number (RPN) in order to create an improvement of preventive maintenance plan. RPN setting was used for revising preventive maintenance schedule, revising preventive maintenance checklist, creating troubleshooting manual and developing training course & evaluation system. The result shows that a number of elevator's failures from door system was reduced from 62.5% of total failures to 20% of total failures for old unit and number of elevator's failure from door system is equal to 0 for new unit. As occurrence is reduced, new PRN is reduced. It is proved that the result is in accordance with objectives.
DOI: 10.14457/cu.the.2015.149
title: Nicer CPU Scheduling and Bandwidth Management for Volunteer Computing

description: We proposed methods dealing with performance reduction problem when running volunteer computing application. First, we deal with CPU time allocation problem on CFS-based system. We use adaptive reservation dealing with maintaining CPU time for foreground process. We solved problem of user boundary using system's global statistics. Our method can maintain foreground application's performance and can reclaim more CPU time compared to that of static allocation method. In the second part, we study new HTTP/2. The previous HTTP/1.1 solves problem of unutilized bandwidth by opening multiple connection. However, this can cause network bandwidth contention when bandwidth is limited. In this work, we focus our study on the uses of multiplexed streams. Our result shows that the multiplexed streams can replace multiple seperate connections and is more network friendly to other applications.
DOI: 10.14457/cu.the.2015.150
title: THE STUDY OF THE RISK FACTORS ON COAL DUST EXPLOSION IN WAREHOUSE

description: Coal has been one of the major energy sources in the world. Many industries use coal as a main fuel. A coal dust explosion is one of the main hazards of coal utilization because of its massive damage. Coal dust explosion hazards involved the combustible fine dusts or other small particles that present a fire or deflagration hazard when suspended at a sufficient concentration in air or some other oxidizing medium. When such materials are contained in an enclosure, they present an explosion hazard. To eliminate the possibility of dust explosions by ensuring that the dust concentration does not exceed the minimum explosibility concentration (MEC) or the amount of dust per unit volume of air below which the dust cloud cannot propagate flame. Therefore, the objective of this work is measure the MEC for coal dust explosion with the various conditions of coal storage such as the particle size (250, 180, 150, 106, 75,53, 45, and less than 45 micron), moisture of coal( 0%, 3%, 6%, 9% and 12%), degree of dispersion(0.5 kg/cm2 ,1 kg/cm2, 1 8 kg/cm2) and delayed time (0.1s, 0.3s and 0.5s) of ignition source to prevent the coal dust explosion which aims to study and design the explosion safety measures for coal dust handing installations. The results show that smaller size of particle, low moisture in coal and high coal dust dispersion can increase the chance or risk of dust explosion. Also, the shorter time of dust dispersion exposes to ignition source can enhance the possibility of explosion in coal storage.
DOI: 10.14457/cu.the.2015.151
title: DEVELOPMENT STRATEGY FOR CONDENSATE RESERVOIRS WITH UNDERLYING MULTI-STACKED DRY GAS RESERVOIRS

description: Production in gas condensate reservoirs usually exhibit complex behaviors due to condensate deposit as the bottom hole pressure drops below the dew point. The accumulation of condensate near the well, called “condensate bank”, can lead to a severe loss of well productivity and therefore lower gas recovery. Several methods have been proposed and investigated to treat damage caused by condensate blocking. This study explores different production strategies, including commingled approach, batch perforations and gas dump-flood in order to improve the ultimate liquid recovery for gas condensate reservoirs with underlying multi-stacked gas reservoirs via compositional numerical simulation. The timing of gas dumpflood and various perforation strategies were investigated to see the most suitable operating conditions. Simulation results indicate that dumpflood shows the highest liquid recovery compared to other methods. The findings also suggest that the best timing for gas dumpflood is from the beginning and the best perforation strategy is to complete all gas layers at the same time.
DOI: 10.14457/cu.the.2015.152
title: Binary NiO-MnO catalyst for amperometric biosensors

description: Transition metal oxides are used in a wide variety of technologically important catalytic processes. In this work, two types of transition metal oxides, nickel oxide and manganese oxide, were synthesized using hydrothermal technique. They were subjected to material characterization testing such as Brunaer-Emmett-Teller (BET), transmission electron microscope (TEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and Raman spectroscopy. It was found that the morphology of nickel oxide and manganese oxide were nanowires and nano - spherical, respectively. The surface area of the particles were found to be affected by the starting material concentration, heating temperature and heating time. It was found that the highest surface area of nickel oxide and manganese oxide, 92.3 m2 g-1 and 102.9 m2 g-1, were obtained when 0.3 M nickel acetate and 0.5 M manganese acetate were used as starting material and synthesized at 200 °C and 100 °C for 7 hours and 3 hours, respectively. The both materials were then applied to construct amperometric biosensors for hydrogen peroxide detection. Layer by layer modified gold electrodes were fabricated by using the metal oxide nanoparticle, polydopamine and carbon nanotubes. The voltammetric responses greatly improved when carbon nanotubes, nickel oxide and manganese oxide were added on the modified gold electrodes. Modified gold electrodes with metal oxides and horseradish peroxidase showed the highest amperometric response. This is due to catalysis activity of both the binary catalyst and enzyme on hydrogen peroxide decomposition. The dynamic range for hydrogen peroxide detection was obtained from 32 µM – 3.0 mM.
DOI: 10.14457/cu.the.2015.153
title: Comparison of mono metallic and bimetallics Co, Ni catalysts supported on Al2O3/ZSM-5 for CO2 reforming of methane

description: Carbon dioxide dry reforming of methane produces synthesis gas with variable ratio of hydrogen to carbon monoxide, which is desirable for industrial synthesis processes. This reaction also has much importance in environmental implications since both carbon dioxide and methane contribute to the greenhouse effect. Converting these gases into valuable feedstocks may reduce the atmospheric emission of CO2 and CH4. Firstly, the different loading order between 10%Co and 10%Ni metals on Al2O3/ZSM-5 was studied. Then, the good catalyst from part one was selected to be investigated in part part two. Secondly, the catalysts preparation with different molar ratios to obtain 10%Ni , 7.5%Ni 2.5%Co , 5%Ni 5%Co , 2.5%Ni 7.5%Co and 10%Co on Al2O3/ZSM-5 was investigated. Also, the monometallic and bimetallic were compared for CO2 reforming of methane. The Characterization of chemical and physical properties of catalysts by techniques of X-Ray Diffraction pattern (XRD), Nitrogen physorption, Scanning Electron Microscopy (SEM), NH3 Temperature Programmed Desorption (NH3-TPD), H2 Temperature programmed reduction (H2-TPR), Thermo gravimetric analyze (TGA), CO chemisorption was conducted. The CO2 reforming of methane was carried out at 700 oC with CO2:CH4 ratio of 50:50. The bimetallic catalysts (5%Ni 5%Co/Al2O3/ZSM-5) had high H2 selectivity of about 47% with low CO selectivity of about 53%, high H2 yield of about 34 %, high CO yield 78 %, high volume of CO adsorption, high active site, high metal dispersion and high stability despite relatively higher coke formation than the other catalysts.
DOI: 10.14457/cu.the.2015.154
title: IN SITU GAMMA-RAY DOSE RATE MEASUREMENT FROM PLANAR SOURCE USING HIGH PURITY GERMANIUM DETECT0R

description: This research proposes a simple method for dose rate measurement from planar source using a high purity germanium (HPGe) detector by measurement of gamma-ray spectrum. Net peak intensities of all energies from the measured spectrum were then used to obtain the total dose rate. First of all, 4 ceiling paint samples containing uranium and thorium were purchased and determined uranium and thorium contents by using high resolution gamma-ray spectrometry equipped with an HPGe detector of 30% relative efficiency. Radioactive isotopes including uranium daughter radionuclides such as 214Pb and 214Bi as well as thorium daughter radionuclides such as 208Tl and 228Ac were found in all samples. The specific activities of 238U in the range of 144.61±3.28 to 299.76±4.87 Bq/kg and 232Th in the range of 1773.59±23.66 to 2121±26.52 Bq/kg respectively. After that 8 test specimens were prepared from the four paint samples by painting on 30 cm x 30 cm plywood, two pieces per paint sample. The specific activities of 238U and 232Th on the plywood samples were in the range of 0.018 – 0.071 Bq/cm2 and 0.22 – 0.49 Bq/cm2 respectively. The other two radioactive paint samples were prepared by mixing non-radioactive paint sample with standard uranium and standard thorium ores of different proportions to make the specific activities of 238U and 232Th on the plywood of 0.027 and 0.030 Bq/cm2 and 0.043 and 0.056 Bq/cm2 respectively. A portable gamma-ray spectrometer equipped with 10% relative efficiency HPGe was then used to measure radioactivity from the prepared ten plywood samples at 2 cm distance at right angle from the middle of the samples. To limit the detector detecting area to 10 cm x 10 cm, the detector sides were surrounded by lead blocks. Unfortunately, the radionuclides after 222Rn in 238U series and after 220Rn in 232Th series were not in radioactive equilibrium with the parent radionuclides which made the measured dose rates lower than the calculated values. However, the dose rate of 228Ac was in good agreement with the calculated value because it was the only radioisotope that was in radioactive equilibrium with the parents 232Th. To overcome the problem, a new technique was then introduced by calibrating the detector with point gamma-ray standard sources at different position to obtain geometrical correction factors. The correction factor was found to be 0.74 for all energies. The results of dose rate measurements from the ten test specimens using the proposed technique were very satisfactory. In addition, a worksheet with necessary formulae was prepared for convenience in calibration and calculation of the dose rate.
DOI: 10.14457/cu.the.2015.155
title: A Voltage Rise Mitigation Strategy under Voltage Unbalance for a Grid-Connected Photovoltaic System

description: ­­The voltage rise due to the injection of power from a photovoltaic (PV) system into the power system network is a major problem for high penetration of PV generation. It is also observed that the voltages at the point of common coupling (PCC) are usually unbalanced due to the unbalanced loads in the system. One popular method to solve the voltage rise problem is by injection of reactive power to adjust the power factor. However, this is uneconomic because the PV owner may be charged by the utility for the injected reactive power. On the other hand, although some works have been done on unbalanced voltage compensation, their objective is purely to improve the power quality and has nothing to do with the voltage rise problem. Therefore, in general, the voltage rise and voltage unbalance are treated as two unrelated issues. In this thesis, it will be revealed that voltage unbalance usually contributes significantly to the maximum line-to-line voltage which is the criterion for voltage rise or overvoltage. Therefore, the voltage rise over the limit is in fact caused by two factors; the reverse power flow and the voltage unbalance. With this understanding, it is proposed in this thesis that cancellation of voltage unbalance by negative-sequence current injection should be done first to reduce the maximum line-to-line voltage. And if this measure helps to bring the voltage back within the limit, then no further action is needed. Otherwise, additional reactive power injection and/or active power curtailment may be necessary.
DOI: 10.14457/cu.the.2015.156
title: Characterization of Uranium Bearing Material using X-Ray Fluorescence and Direct Gamma-Rays Measurement Techniques

description: Uranium ore can be easily detected due to various gamma-ray energies emitted from uranium daughters particularly from 238U daughters such as 214Bi, 214Pb and 226Ra. After uranium is extracted from uranium ore, only low energy gamma-rays emitted from 235U may be detected if the detector is placed in close contact to the specimen. In this research, identification and characterization of uranium bearing materials is experimentally investigated using direct measurement of gamma-rays from 235U in combination with the x-ray fluorescence (XRF) technique. Measurement of gamma-rays can be conducted by using high purity germanium (HPGe) detector or cadmium telluride (CdTe) detector while a 57Co radioisotope-excited XRF spectrometer using CdTe detector is used for elemental analysis. The proposed technique was tested with various uranium bearing specimens containing natural, depleted and enriched uranium in both metallic and powder forms. The results indicated that combination of the two techniques can be used to identify and to characterize suspicious nuclear materials not only uranium bearing materials but also Plutonium (Pu) and Thorium (Th).
DOI: 10.14457/cu.the.2015.157
title: FACIAL EXPRESSION RECOGNITION FOR THAI SIGN LANGUAGE IMAGE

description: This thesis presents an algorithm for facial expression recognition to help the interpretation of the meaning of Thai sign language image by adding sentimental information. Facial expressions are the facial changes in response to the signer’s internal emotional states. Some facial changes are similar. This similarity may cause the reduction in the facial expression recognition rate. We thus propose facial expression recognition framework in this thesis. The framework consists of the three components: face detection, facial features extraction and facial expression recognition. The face region is first automatically detected from input images by using Viola-Jones algorithm. The face components such as eyes and mouth are then extracted and normalized. Then, these features are combined to form feature vectors that will be used in the recognition. In the recognition step, K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) are used to classify the facial expressions. In our algorithm, there are three datasets: positive, negative and neutral. For the dataset, we select the images that have the dissimilar facial changes as the input images. Positive dataset based on the positive expression that is identified by the facial changes: raising of the eyebrows and pulling of the mouth corner. For negative dataset, lowering of the eyebrows and puckering of the mouth are chosen to identify negative expression. For neutral dataset, expressionless facial changes are selected as the neutral expression. In this paper, we compare the classification accuracy by recognizing the single facial change and the combination of the facial changes for facial expression recognition. The experimental results show that the classification accuracy of the mouth is better than that of other parts of the face.
DOI: 10.14457/cu.the.2015.158
title: SELECTIVE HYDROGENATION OF ACETYLENE OVER TiO2 SUPPORTED Pd-Au AND Pd-Cu CATALYSTS PREPARED BY STRONG ELECTROSTATIC ADSORPTION AND ELECTROLESS DEPOSITION

description: In the present work, the addition of Au or Cu on the performances of Pd/TiO2 was investigation in the selective hydrogenation of acetylene for improve performance of catalyst. Pd was deposited on the titania support by the strong electrostatic adsorption (SEA) method, which can attain high dispersion of Pd. The addition of a second metal on Pd/TiO2 was done by the electroless deposition (ED) method and compared with the incipient wetness impregnation (IM) method. The catalysts were characterized by hydrogen titration of oxygen-precovered on Pd, X-ray diffraction (XRD), Infrared spectroscopy of adsorbed CO (CO-IR), X-ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM). The Pd/TiO2 catalyst prepared by SEA showed highly dispersion of Pd at 38% at 1.29 wt.% Pd. The preparation by ED method showed incremental coverage of the second metal on Pd, while IM method had accumulation of second metal onto both Pd and TiO2 support, the small ensembles of Pd sits found in ED samples promoted acetylene adsorption as π-bonded species that favored hydrogenation to ethylene. The Cu-Pd/TiO2 catalysts prepared by ED showed higher ethylene selectivity and hydrogenation activity than the Au-Pd/TiO2 catalysts. The results from CO-IR suggested that Cu selective deposited preferentially onto the low-coordination sites than Au which inhibited fully hydrogenation of ethylene to ethane.
DOI: 10.14457/cu.the.2015.159
title: InAs quantum dot molecules on nanohole/cross-hatch pattern templates

description: This thesis studies the evolution and characteristics of quantum dot molecules (QDMs) on cross hatch patterns (CHPs). QDMs are grown by a partial-capping-and-regrowth technique on CHP templates which are 25-nm In0.2Ga0.8As on GaAs substrates. The morphological and optical properties of the nanostructures are studied by atomic force microscope (AFM) and photoluminescence (PL), respectively. The morphologies of nanostructures on CHPs vary significantly depending on the areas and can be concluded as follows. On Flat areas, the nanostructures develop from nanoholes (NHs) to nanopropellars (NPs) and QDMs which are uniform and similar to those grown on flat GaAs substrates. On [110] misfit dislocation (MD) lines, the strain affects the symmetries of nanostructures, and some of them transform to new types of nanostructures: diamond-shaped NHs, diamond-based QDs, and NPs which resemble a quantum cellular automata (QCA) unit cell. On [1-10] MD lines, partial capping of GaAs creates NHs and stripes of nanomounds; the regrowth of InAs creates diamond-based QDs on the NHs, QDs on the edge of the stripes, and QDs on the ridge of the stripes PL measurements of QDMs on CHPs show that the entire structure strongly emits broad signals in the 0.89-1.6 eV range, indicating high crystalline quality. At high temperature, the effects of carrier migration from small QDs to large QDs are observed. The rich morphologies observed in this works may increase the range of useful optoelectronic materials and devices in the near infrared.
DOI: 10.14457/cu.the.2015.160
title: NUMERICAL SIMULATION ON CARBON DIOXIDE STORAGE IN SAN SAI AREA, FANG BASIN

description: The purpose of this work is to study the CO2 storage in depleted oilfield with simulation and anticipate the movement of CO2 in depleted oilfield at San Sai structure, Fang basin to collect a preliminary data. The data used in the simulation model come from Northern Petroleum Development Center, Defence Energy Department, Ministry of Defence. CMG program is used to create carbon storage model. The defined variable in modeling include depth between 800-3000 m., injection rate at 1000, 2000 and 4000 tons/day. The time this study from 1, 5, 10, 20 and 50 years. The simulation applies Local Grid Refinement (LGR) and separates case study into 4 cases as CO2 storage at second, fourth, sixth and overall layers. Pressure buildup and radius of migration are investigated. From results, it is obvious the pressure buildup from CO2 injection until shutin preiod. The pressure is still lower the maximum pressure. For 2000 and 4000 tons/day pressure buildup and decrease unlike that of 1000 tons/day injection rate. Furthermore, radius of migration of CO2 will increase until shutin well preiod the radius will been slightly decreased. The simulation makes it possible to predict what will happen by the period. The depth will influence the amount of storage, thickness of caprock effect the CO2 leakage into the surface, the injection rate and the pressure buildup are related.
DOI: 10.14457/cu.the.2015.161
title: Simulation On Geological Storage Of Carbon Dioxide In The Gulf Of Thailand.

description: Climate change is one of the most concern problems currently because of the increase of the amount of greenhouse gases in the atmosphere. CO2, the most important component of greenhouse gases, comes from industries like power generation. Carbon capture and storage (CCS) is the practical technology to mitigate CO2 especially geological storage. In Thailand, the main potential of geological storage is in the Gulf of Thailand. However, the research on this in Thailand is scarce. Consequently, this work is focusing on the simulation of CO2 geological storage in formations at the Gulf of Thailand. The storage capacity and the fracture pressure have been estimated. Also, the pressure buildup and plume migration have been simulated with various conditions. CO2 injection is used from 1,000-4,000 tons per day with the depth from 2,160 – 2,510 meters and the results are studied for 1-50 years for monitoring period. The results show that CO2 storage in this area has potential with the formation characteristics. Moreover, pressure buildup and plume migration are illustrated for the period of 50 years. This study can contribute as a fundamental knowledge for CO2 storage in an offshore area in Thailand.