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Kritsada Moonpa,Weerapan Srichan,Thasinee Charoentitirat,Thanpimol Intawong 한국지질과학협의회 2024 Geosciences Journal Vol.28 No.1
Scattered outcrops of various lithologies such as limestone, chert, sandstone, mudstone or shale, and microgabbro have been recently exposed in the Hariphunchai Education Center of Chiang Mai University (HECCMU), the northern Lamphun area of the northern Thailand. The outcrops are located in the Inthanon Zone where Palaeo-Tethyan ocean plate stratigraphy is well known. Field and microfacies analysis of limestone blocks recognizes four microfacies interpreted as low-energy lagoon or platform interior and reef flank or shoal of fore-reef. Foraminiferas from the limestone are the Sakmarian (lower Cisuralian) to Kungurian (upper Cisuralian) of the early Permian in age. Field and petrographic analysis of co-occurring radiolarian chert, microgabbro, pelagic mudstone, and turbidites suggest that the limestone blocks were mid-oceanic carbonate build-ups on seamount which were chaotically mixed with oceanic rocks such as chert and gabbro and then embedded in shale matrix. It is concluded that the outcrops are part of mélange formed during the Palaeo-Tethys closure and are significant in representing the Cisuralian (lower Permian) carbonate remnant in the mélange of the Inthanon Zone.
Neural Netwotk Analysis of Acoustic Emission Signals for Drill Wear Monitoring
Prasopchaichana, Kritsada,Kwon, Oh-Yang The Korean Society for Nondestructive Testing 2008 한국비파괴검사학회지 Vol.28 No.3
The objective of the proposed study is to produce a tool-condition monitoring (TCM) strategy that will lead to a more efficient and economical drilling tool usage. Drill-wear monitoring is an important attribute in the automatic cutting processes as it can help preventing damages of the tools and workpieces and optimizing the tool usage. This study presents the architectures of a multi-layer feed-forward neural network with back-propagation training algorithm for the monitoring of drill wear. The input features to the neural networks were extracted from the AE signals using the wavelet transform analysis. Training and testing were performed under a moderate range of cutting conditions in the dry drilling of steel plates. The results indicated that the extracted input features from AE signals to the supervised neural networks were effective for drill wear monitoring and the output of the neural networks could be utilized for the tool life management planning.
Prasopchaichana, Kritsada,Kwon, Oh-Yang The Korean Society for Nondestructive Testing 2007 한국비파괴검사학회지 Vol.27 No.6
Combination of the parametric and the wavelet analyses of acoustic emission (AE) signals was applied to identify the failure modes in carbon fiber reinforced plastic (CFRP) composite laminates during tensile testing. AE signals detected by surface mounted lead-zirconate-titanate (PZT) and polyvinylidene fluoride (PVDF) sensors were analyzed by parametric analysis based on the time of occurrence which classifies AE signals corresponding to failure modes. The frequency band level-energy analysis can distinguish the dominant frequency band for each failure mode. It was observed that the same type of failure mechanism produced signals with different characteristics depending on the stacking sequences and the type of sensors. This indicates that the proposed method can identify the failure modes of the signals if the stacking sequences and the sensors used are known.
Sutthipoj Sutthana,Kritsada Hongsith,Pipat Ruankham,Duangmanee Wongratanaphisan,Atcharawon Gardchareon,Surachet Phadungdhitidhada,Dheerawan Boonyawan,Pisist Kumnorkaew,Adisorn Tuantranont,Supab Choopu 한국물리학회 2017 Current Applied Physics Vol.17 No.4
An interfacial modification of CH3NH3PbI3/PCBM is investigated by pre-heating PCBM solution before spin-coating on the CH3NH3PbI3layer.By adjusting PCBM concentration, PCBM films were optimized to form homogeneous films. Besides, the pre-heat treatment of PCBM solution exhibits a better covered area over CH3NH3PbI3 layer with reduced pinhole compared with the non-heat treatment. This can be explained by the higher thermal energy PCBM molecules of the pre-heat solution leading to higher molecule mobility that can reorganizes a structural as well as enhance the diffusion and enhance coverage of PCBM films over CH3NH3PbI3. The optimized cell is enhanced with average power conversion efficiency from 4.59% up to 5.76% (6.44% maximum) by heat treatment. To investigate interface between CH3NH3PbI3 and PCBM, the contact angle was measured and found that the contact angle of PCBM films were higher after heat treatment suggesting re-alignment and better orientation of PCBM on perovskite film. The better orientation of PCBM can be explained in term of hydrophilic/hydrophobic property of the interface between CH3NH3PbI3 and PCBM. These results suggest that pre-heat treatment of PCBM solution has ability to modify the interface for better orientation of PCBM and resulting in efficiency enhancement due to better carrier transport direction at the CH3NH3PbI3/PCBM interfaces for perovskite solar cells. In addition, the better orientation that the head (non-polar)is oriented at outer surface can also prevent the solar cells from surrounding moisture.
Park, Sora,Kittimanapun, Kritsada,Ahn, Jeung Sun,Kwon, Young-Kyun,Tomá,nek, David IOP Pub 2010 Journal of Physics, Condensed Matter Vol.22 No.33
<P>We use <I>ab initio</I> density functional calculations to study the stability, elastic properties and electronic structure of sp<SUP>2</SUP> carbon minimal surfaces with negative Gaussian curvature, called schwarzites. We focus on two systems with cubic unit cells containing 152 and 200 carbon atoms, which are metallic and very rigid. The porous schwarzite structure allows for efficient and reversible doping by electron donors and acceptors, making it a promising candidate for the next generation of alkali ion batteries. We identify schwarzite structures that act as arrays of interconnected spin quantum dots or become magnetic when doped. We introduce two interpenetrating schwarzite structures that may find their use as the ultimate super-capacitor. </P>
Genome characterization and mutation analysis of human influenza A virus in Thailand
Rattanaburi, Somruthai,Sawaswong, Vorthon,Nimsamer, Pattaraporn,Mayuramart, Oraphan,Sivapornnukul, Pavaret,Khamwut, Ariya,Chanchaem, Prangwalai,Kongnomnan, Kritsada,Suntronwong, Nungruthai,Poovorawan, Korea Genome Organization 2022 Genomics & informatics Vol.20 No.2
The influenza A viruses have high mutation rates and cause a serious health problem worldwide. Therefore, this study focused on genome characterization of the viruses isolated from Thai patients based on the next-generation sequencing technology. The nasal swabs were collected from patients with influenza-like illness in Thailand during 2017-2018. Then, the influenza A viruses were detected by reverse transcription-quantitative polymerase chain reaction and isolated by MDCK cells. The viral genomes were amplified and sequenced by Illumina MiSeq platform. Whole genome sequences were used for characterization, phylogenetic construction, mutation analysis and nucleotide diversity of the viruses. The result revealed that 90 samples were positive for the viruses including 44 of A/H1N1 and 46 of A/H3N2. Among these, 43 samples were successfully isolated and then the viral genomes of 25 samples were completely amplified. Finally, 17 whole genomes of the viruses (A/H1N1, n=12 and A/H3N2, n=5) were successfully sequenced with an average of 232,578 mapped reads and 1,720 genome coverage per sample. Phylogenetic analysis demonstrated that the A/H1N1 viruses were distinguishable from the recommended vaccine strains. However, the A/H3N2 viruses from this study were closely related to the recommended vaccine strains. The nonsynonymous mutations were found in all genes of both viruses, especially in hemagglutinin (HA) and neuraminidase (NA) genes. The nucleotide diversity analysis revealed negative selection in the PB1, PA, HA, and NA genes of the A/H1N1 viruses. High-throughput data in this study allow for genetic characterization of circulating influenza viruses which would be crucial for preparation against pandemic and epidemic outbreaks in the future.