After a propeller shaft was damaged from chloride in sea water it has been fixed by MAG welding process with flux cored wire. Its service life after welded depends on the corrosion resistance of the weld metal. This research aimed to compare the corrosion resistance of two different weld metals between X111-T5-K4 and E71T-1CH8/T/9M-D flux core wire. The test specimens were prepared according to the ASTM G1-103 standard and tested by salt spray test conforming to the ASTM B 117 standard. The result of the test showed that the corrosion rate of the weld metal using X111-T5-K4 flux cored wire is lower than the weld metal of E71T-1CH8/T/9M-D flux cored wire which was 0.21 and 0.32 mm2/hr. respectively. The mass loss at 24 hours of E71T-1CH8/T/9M-D X111-T5-K4 flux core wire were 0.32 and 0.48 grams respectively. Therefore enhancing the service life of propeller shaft from chloride corrosion should use X111-T5-K4 flux core as weld metal

The objective of this qualitative study was to develop and determine security measures for private organizations. Documentary analysis and focus group technique were used as a method for gathering data. Eight participants who had experiences in security management were participated in a focus group. Data from two sources were gathered and integrated for data analysis. The results of data analysis led to the development of security measures factors. Findings indicated that there were five factors of security measures that needed to be implemented and carried out in private organizations including building awareness of technology development in security; integration of architectural security components; developing security systems; human resource management which encompasses security personnel and sharing knowledge; and determining appropriate security procedures that relate to nature and physical of organizations.

The purpose of this . 0.0. 0. experimental study was to concentration ofdust values particlessmaller than10micrometersinAmphoeMuangPathumThani and to analyzethe concentration oftotaldustvalues inAmphoeMuangPathumThaniTo comparethe concentration ofparticlessmaller than10micrometersand dustincluded inAmphoeMuangPathumThaniBy the concentrationin the airvalues compared tothe standardvalues ofthe Pollution Control Department andto determine thedistributiondustof eachstationsthathow muchdifferenceThestation hadinstalledmeasuredustallsevenstations includingBangProkthemarket arealocations BangDuawastheconstruction of roads Bangkuwatthevillage Bangkladeeareawasindustrial Lukhok thecommunity area Banchang area ofpaddy fields and Bankrachang thevegetable gardenarea.0293 - 0.3199 mg/m.0. From the analysisconcentration valuesdustwas found thattheconcentration dustvalues was included inthe range03 by themarketarealocationshadconcentration valuesand distribution dust ofthe mostIndustrial factorywas very valuablethesecond Theanalysis ofconcentration values ofparticlessmaller than10micrometerswas found thattheconcentration ofparticlessmaller than10micrometersin

14 samples of TSP and PMwere collected within the area of Amphoe Muang Pathumthani from 7 stations at Tambon Bang Prok Bang Duea Bang Khu Wat Bang Kradee Lak Hok Bang Changand and Kra Sang during February to March 2013 in order to evaluate the concentration of dust and lead concentration level by using ICP-OES. The result of this study shows the TSP ranging 0.03 - 0.32 mg/mmg/mμg/maverage of 0.04 ± 0.06 μg/mμg/m0.05 ± 0.07 μg/m10 3 and the average of 0.12 ± 0.10 3 . The concentration of PM10 is in the range of 0.06 – 0.21 mg/m3 average of 0.13 ± 0.06 mg/m3. Of the determination of lead in TSP concentration of lead found in the range of 0.01 – 0.18 3 3 while lead in PM10 found in the range of 0.01 – 0.21 3 average of 3. Assessment of the public health risk is found contamination of lead in the atmosphere of Amphoe Muang Pathumthani levels ranged from less dangerous except area Bang Prok is worth the risk is moderate danger.

The objectives of this research are to propose a proper model for risk assessment for drought in Thailand. A hidden Markov model is adopted. The results indicate that the amount of rainfall depends on the hidden states drought or non-drought state. If the state changes from drought to non-drought the amount of rain will increase. The probability of changing from drought state to non-drought state is higher than from drought state to drought state. The probability of drought occurrence in February is highest followed by in November March December January July April June October September August and May respectively. When the temperature increases the probability of drought occurrence will increase.