Many government offices have been proceeding a development of Enterprise Architecture(EA) according to apply Government-wide Enterprise Architecture'. Each office and working-level officials have had a hard time because of no guides related to a EA development method such as the Framework, Standards, Principle, Reference Model, Etc. This paper propose a method for developing e-Government Enterprise Architecture considered a characteristic of public institutes through analyzing existing cases. The method for development e-Government EA includes the EA Performance Management Model to monitor objectively each office's long-term business promotion because the e-Government EA development is a job of long duration and cooperation with many institutes. This method also combines the EA Change Management Activities for the officials to improve general knowledge about EA's idea and EA's value, etc. We show the EA case study of the Ministry of Government Administration and Home Affairs to demonstrate feasibility of our approach. As a result, public offices will carry out their BPR(Business Process Re-engineering) and ISP(Information Strategy Planning) more efficiently based on this EA development method.
Park, So-Yeon;Park, Yang-Kyun;Park, Jong-Min;Choi, Chang-Heon;Ye, Sung-Joon
Journal of Radiation Protection and Research
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v.36
no.1
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pp.28-34
/
2011
The measurement-based verification for intensity modulated radiation therapy (IMRT) is a time-and labor-consuming procedure. Instead, this study aims to develop a MU fluence reconstruction method for IMRT QA. Total actual fluences from treatment planning system (TPS, Eclipse 8.6, Varian) were selected as a reference. Delivered leaf positions according to MU were extracted by the dynalog file generated after IMRT delivery. An in-house software was develop to reconstruct MU fluence from the acquired delivered leaf position data using MATLAB. We investigated five patient's plans delivered by both step-and-shoot IMRT and sliding window technologies. The total actual fluence was compared with the MU fluence reconstructed by using commercial software (Verisoft 3.1, PTW) and gamma analysis method (criteria: 3%/3 mm and 2%/1 mm). Gamma pass rates were $97.8{\pm}1.33$% and the reconstructed fluence was shown good agreement with RTP-based actual fluence. The fluence from step and shoot IMRT was shown slightly higher agreement with the actual fluence than that from sliding window IMRT. If moving from IMRT QA measurements toward independent computer calculations, the developed method can be used for IMRT QA. A point dose calculation method from reconstructed fluences is under development for the routine IMRT QA purpose.
Yoon, Jeongmin;Lee, Eungman;Park, Kwangwoo;Kim, Jin Sung;Kim, Yong Bae;Lee, Ho
Progress in Medical Physics
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v.29
no.2
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pp.59-65
/
2018
This paper describes the clinical use of the dose verification of multileaf collimator (MLC)-based CyberKnife plans by combining the Octavius 1000SRS detector and water-equivalent RW3 slab phantom. The slab phantom consists of 14 plates, each with a thickness of 10 mm. One plate was modified to support tracking by inserting 14 custom-made fiducials on surface holes positioned at the outer region of $10{\times}10cm^2$. The fiducial-inserted plate was placed on the 1000SRS detector and three plates were additionally stacked up to build the reference depth. Below the detector, 10 plates were placed to avoid longer delivery times caused by proximity detection program alerts. The cross-calibration factor prior to phantom delivery was obtained by performing with 200 monitor units (MU) on the field size of $95{\times}92.5mm^2$. After irradiation, the measured dose distribution of the coronal plane was compared with the dose distribution calculated by the MultiPlan treatment planning system. The results were assessed by comparing the absolute dose at the center point of 1000SRS and the 3-D Gamma (${\gamma}$) index using 220 patient-specific quality assurance (QA). The discrepancy between measured and calculated doses at the center point of 1000SRS detector ranged from -3.9% to 8.2%. In the dosimetric comparison using 3-D ${\gamma}$-function (3%/3 mm criteria), the mean passing rates with ${\gamma}$-parameter ${\leq}1$ were $97.4%{\pm}2.4%$. The combination of the 1000SRS detector and RW3 slab phantom can be utilized for dosimetry validation of patient-specific QA in the CyberKnife MLC system, which made it possible to measure absolute dose distributions regardless of tracking mode.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.10
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pp.531-538
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2017
In the case of hydraulic pressure type fuse, we accept or reject certain product lots by considering the number of defective products in the operating pressure test. Generally, this procedure, known as 'The inspection by attributes', has been most commonly used in the field of quality assurance of products. However, the method of inspection by attributes suffers because it tests more samples than inspection by variables. Even though the quality of the products has remained stable in the process condition, the same number of samples is required for every lot, which wastes time and money. This paper suggests that the lot acceptance procedure is changed from inspection by attributes to inspection by variables. We can calculate the statistical tolerance percent of defectives and compare this to the Acceptable Quality Level (AQL) in order to save money and time. It is also easier to monitor and control the quality of products by using the process capability index and x-bar charts. In conclusion, the procedure delivers mutual benefit to both the customer and the producer by securing high quality products and reference data.
Kim, Sung-Woo;Kang, Sang Koo;Rhee, Dong Joo;Lim, Heuijin;Lee, Manwoo;Yi, Jungyu;Lee, Mujin;Yang, Kwangmo;Ro, Tae Ik;Jeong, Dong Hyeok
Progress in Medical Physics
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v.26
no.1
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pp.1-5
/
2015
The C-band compact linear accelerator (linac) is being developed at Dongnam Institute of radiological & Medical Sciences (DIRAMS) for medical and industrial applications. This paper was focused on the output measurement of the electron beam generated from the prototype electron linac. The dose rate was measured in unit of cGy/min per unit pulse frequency according to the IAEA TRS-398 protocol. Exradin-A10 Markus type plane parallel chamber used for the measurement was calibrated in terms of dose to water at the reference depth in water. The beam quality index ($R_{50}$) was determined by the radiochromic film with a solid water phantom approximately due to low energy electrons. As a result, the determined electron beam output was $17.0cGy/(min{\cdot}Hz$. The results were used to monitor the accelerator performance during the development procedure.
Nawaz, Javeria;Arshad, Muhammad Zeeshan;Park, Jin-Su;Shin, Sung-Won;Hong, Sang-Jeen
Proceedings of the Korean Vacuum Society Conference
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2012.02a
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pp.239-240
/
2012
With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.
This study was performed to investigate the consumption of coffee beverages and energy contribution ratios of coffee beverages and accompanying snacks by college students in Deajeon City and Chungnam Province in Korea. Questionnaire survey, dietary survey, and snack survey using food record method during 3-days were carried out. As a result, we found that 86.9% of male students and 75.6% of female students consumed coffee beverages usually, with no differences between the two groups. However, the frequency of coffee beverages consumed by female students out-numbered that of male students by 1 cup a day to 1-2 cups a week (p<0.05). Furthermore, male students most likely consumed coffee beverages at schools or academies, but female students consumed them at coffee shops (p<0.01). The reasons male students gave to consume coffee beverages were for scent, taste, fatigue, and to stay awake. Similarly, the reasons female students gave to consume coffee beverages were for scent, taste, habit, and to stay awake (p<0.01). Fully 58.1% of male students and 80.0% of female students ate snacks along with coffee beverages (p<0.01). Most male students substituted a coffee beverage and accompanying snack for a regular meal once a month. Female students were doing it at most 2-3 times a month (p<0.05). The mean daily dietary energy intake of male students was 1,924 kcal/d, and of female students was 1,518 kcal/d (p<0.001), which both were below the estimated energy requirements. Male students obtained 285.6 kcal/d and female students obtained 289.5 kcal/d from coffee beverages and accompanying snacks. There was a significant different in dietary intake of energy (p<0.05), calcium, and iron (p<0.001) for each ratio of reference intake between male and female students. The students who ate larger amounts of coffee beverages and accompanying snacks consumed less dietary energy, protein, calcium, and iron, respectively (p<0.05). These results show that many students consume coffee beverages regularly and obtain large amounts of energy from coffee beverages and accompanying snacks. It also shows that student's dietary nutrient intake tends to be poorer, as he or she obtains more energy from coffee beverages and accompanying snacks. Therefore, it is critical to monitor the influence of consumption of coffee beverages and accompanying snacks on the dietary nutrient intakes and health of college students, and to provide nutrition education about the proper consumption of coffee beverages and accompanying snacks based on scientific evidence.
Recently, rapidly increa~ing internet Websites are providing us with the new kinds of multimedia infonnations without borders acting as the center for exchanging informations. Such new media infonnations through the internet passes infonnations via light on the monitor and provides the various infonnations, with the differentiation from the traditional printing media, it can be searched with electronic commands in limited space. In the process of adapting the new technologies, new media has successfully responded to the fast change and the development of its needs by experiencing the trials and errors, steadily establishing the stable position with its new infonnation transferring and exchanging methods. The representative hompage of websites of information lransfonnations means the first page containing no lower directories and consist of titles, icons, symbols and addresses and can design them in consideration of graphical process, planning, contents and others. Such hompages are very important since the graphical images shows its visual expressions deciding the total meanings of the hompages. In this research, we have analyzed the relationships between its overall colors and text colors from randomly picked hompages of websites in the internets of various areas. Generally, the homepages are designed with graphical expressions in personal way and the feedbacks and responses of such may differs, but this can be used as reference materials for the analysis of new media in objective way. Also, it can be used as the base informations for arrangement and planning of designs with the characteristics of graphics and Graphical User Intertilces in the backhlfound which are implemented over internet.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.15
no.6
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pp.187-193
/
2015
The ICT healing platform sets a couple of goals including preventing chronic diseases and sending out early disease warnings based on personal information such as bio-signals and life habits. The 2-step open system(TOS) had a relay designed between the healing platform and the storage of personal health data. It also took into account a publish/subscribe(pub/sub) service based on large-scale connections to transmit(monitor) the data processing process in real time. In the early design of TOS pub/sub, however, the same buffers were allocated regardless of connection idling and type of message in order to encode connection messages into a deflate algorithm. Proposed in this study, the dynamic buffer allocation was performed as follows: the message transmission type of each connection was first put to queuing; each queue was extracted for its feature, computed, and converted into vector through tf-idf, then being entered into a k-means cluster and forming a cluster; connections categorized under a certain cluster would re-allocate the resources according to the resource table of the cluster; the centroid of each cluster would select a queuing pattern to represent the cluster in advance and present it as a resource reference table(encoding efficiency by the buffer sizes); and the proposed design would perform trade-off between the calculation resources and the network bandwidth for cluster and feature calculations to efficiently allocate the encoding buffer resources of TOS to the network connections, thus contributing to the increased tps(number of real-time data processing and monitoring connections per unit hour) of TOS.
Recently, the demand for a PRT(Personal Rapid Transit) system based on autonomous navigation is increasing. Accordingly, the applicability investigations of the PRT system on rail tracks or roadways have been widely studied. In the case of unmanned vehicle operations without physical guideways on roadways, to monitor the position of the vehicle in real time is very important for stable, robust and reliable guidance of an autonomous vehicle. The Global Positioning System (GPS) has been commercially used for vehicle positioning. However, it cannot be applied in environments as tunnels or interiors of buildings. The PRT navigation system based on magnetic markers reference sensing that can overcome these environmental restrictions and the vehicle dynamics model for its H/W configuration are presented in this study. In addition, the design of a control S/W dedicated for unmanned operation of a PRT vehicle and its prototype implementation for experimental validation on a pilot network were successfully achieved.
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