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    Study on optical and electronic properties of Sn-doped ZnPc
    (2013-10-29) ;
    Sributr, Chaloempol
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    Rojanasuwan, Sunit
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    Sn doped ZnPc films were deposited on intrinsic Si and glass substrates by organic source thermal co-evaporation technique with different deposition rates. Optical properties and electronic structure were characterized by UV-Vis spectroscopy and X-ray photoelectron spectroscopy (XPS) respectively. The UV-Vis results showed that phase transition of ZnPc from α- phase to β-phase occurred when Sn:ZnPc deposition rate is 0.3:0.7 or higher. XPS results indicated that the outer s electron of Sn atom is transferred to the ZnPc. Broadening of the C 1s spectra is observed with the increasing of Sn deposition rate. This broadening corresponds to the change of molecular environment surrounding carbon atoms in the Sn-doped ZnPc films. © (2013) Trans Tech Publications, Switzerland.
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    Study of optical and electrical properties of tin doped cobalt-phthalocyanine thin films prepared by thermal co-evaporation
    (2018-09-05) ;
    Jessadaluk, Sukittaya
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    ; ;
    The aim of this research is to study the specific properties e.g. surface morphology, optical absorption as well as electrical conductivity of tin-doped cobalt-phthalocyanine (CoPc) thin film prepared by thermal co-evaporation. The concentration of tin metal dopant is controlled via evaporation rate during film's preparation. The change of tin quantity leads to the significant changes not only in morphology but also in molecular packing of the doped films. Moreover, the dramatic increase in both carrier mobility and carrier concentration should provide the enhancement in electrical conductivity of the doped films. By controlling the specific properties of the tin-doped CoPc thin film, the increasing efficiency of optoelectronic applications based on metal-phthalocyanine could be achieved.
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    Application of the OpenCV-python for personal identifier statement
    (2018-08-13) ;
    Mukma, Suppakorn
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    Sirisantisamrid, Kaset
    Work attendance is one of the processes that either large or small companies need to be involved with. To reduce the time-consuming and improve the reliability of such process, this work proposes an alternative solution by applying the combinations of image processing and Viola Jones algorithm on the facial-employee database. The facial detection and recognition system shows the high accuracy over 90%. The proposed process not only improves the efficiency of the work attendance in term of data-collecting and data-analyzing but also possibly prevents the cheating of appearance compared to the old-fashion processes e.g. signing-paper or Radio Frequency Identification (RFID).
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    LQR/PID controller design of PLC-based inverted pendulum
    (2018-01-01)
    Sirisantisamrid, Kaset
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    Gulpanich, Suphan
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    This paper presents an LQR based PID controller to control the inverted pendulum system. The control design employs a control zoning approach whereby the entire pendulum system is divided into two regions: a normal pendulum region and the inverted pendulum region where the system is approximately linear close to the upright position. The LQR architecture is used to obtain optimal gains for the PID controller. An algebraic approach is also presented for selection of Q and R matrices. Experimental implementations with a PLC based system show that the computed gains yield the most stable controlled responses compared to the gains chosen through trial and errors.
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    Application of parallel ladder technique for purging oil residual inside the copper pipe
    (2011-09-29) ; ;
    Ganmanee, Suthum
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    Tanachaikhan, Lerdlekha
    In iron pipe industry, one of the most important problems in manufacturing processes is the great amount of oil residual in copper pipe. This problem can be affected the use of copper pipe further such as difficulty in pipe soldering, pipe rust and leakage. This study aims to demonstrate the use of parallel ladder technique, the simple process with low additional costs, to purge out liquid residual in the pipe after ironing. This technique can improve the efficiency of the manufacturing process as well as increase the quality of the product. Nitrogen was applied in this process with the step-increasing pressure of 0, 5, 10, and 15 Bar. This supplied pressure levels are a function of time which depend on the length of pipe. Nitrogen with specified pressure levels were controlled by 3 sets of control valves which were parallelly arranged. For efficiency test, two sizes of copper pipe which are commonly used for producing coil of air conditioner were used as a case study, Pipe A (diameter of 7.29 mm, thickness of 0.25 mm, length of 10 km) and Pipe B (diameter of 8 mm, thickness of 0.25 mm, length of 10 km). From experiments, the parallel ladder technique can eventually reduce the liquid residual inside the pipe. For Pipe A, the residual was reduced from 1.468 mg to 0.045 mg or 3.65 %. For Pipe B, the residual was reduced from 1.916 mg to 0.054 mg or 7.29%. The average oil residual purged out from Pipe A and Pipe B were 1.42 mg or 96.35%, and 1.86 mg or 92.71%, respectively. It can also be indicated that water and oil residual in the pipe were significantly less than the standard limitation (0.1 mg/m or 30%). © 2011 IEEE.
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    Growth and characterizations of tin-doped nickel-phthalocyanine thin film prepared by thermal co-evaporation as a novel nanomaterial
    The aim of this research is to control specific properties of nickel-phthalocyanine (NiPc) thin film by doping with tin (Sn). The hybrid thin films, Sn-doped NiPc, were fabricated by thermal co-evaporation as a function of Sn concentration. The quantity of Sn in NiPc matrix was controlled via the different deposition rate between Sn and NiPc. The specific properties of the hybrid films, e.g. morphology, optical absorption, chemical bonding as well as electrical characteristics of the devices used such hybrid material as an active layer were characterized by combinations of microscopic and spectroscopic techniques. The experimental results evidently present the modification of thin film properties by adding Sn into NiPc matrix, i.e. the change of morphology from granules to fibers, the increase of beta-phase formation in the films as well as the enhancement of electrical properties resulting from the increase of both charge carrier mobility and carrier concentration in the hybrid material. Moreover, the internal formation of the Sn-doped NiPc reveals that Sn dopants are embedded in the NiPc matrix as Sn metal clusters coated with derivative metal oxide of Sn (SnO<inf>x</inf>). This research demonstrates that the doping metal-phthalocyanine with metal is an alternative approach to control the specific properties that possibly suit for organic electronic applications.
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    Application of image processing for inspection of pill production process
    (2018-08-13) ;
    Apichitanon, Ruangsit
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    Weerathaweemas, Songchai
    Inspection of the external appearance of the pill is one of the methods to check the basic quality according to the standard of Food and Drug Administration (FDA) such as chipped pills, inappropriate sizes, and unclear letter printed on pills. This paper proposes an application of image processing for inspection of pill production process. In this study, the Image Processing principal including the Grayscale Method, Threshold Method, OTSU Method, Bounding Box Method and Geometric Algorithm was adopted to process images from normal webcam camera. In addition, the Microsoft Visual C# 2008 was used for processing the signals by analyzing the output signals of webcam camera. In the experiment, the perfect pill was determined by a cross-sectional area not less than 98% of the standard pill in units of milligrams (mg) in FDA standard. The experiment was divided into three cases: Inspection 100 perfect pills, 100 imperfect pills and 100 pills in 1:1 ratio between the perfect pills and the imperfect pills with the speed for inspecting and distinguishing of 70 pills per minute. From the experimental result of three cases, the error rates were 0.6%, 1.2% and 1.0%, respectively, while the average of process error was 0.93%.
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