• Proceedings of the KSME Conference
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• 2001.06c
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• pp.134-139
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• 2001

Laser scanners are widely used for reverse engineering and inspection of freeform parts in industry such as motors, electronic products, dies and molds. Due to the lack of measuring software and positioning device, the laser scanning processes have been erroneous and inconsistent. In order to automate measuring processes, an automated scan plan generation software and a proprietary hardware are developed. In this paper, an automated laser scanning system using a 3-axis motorized stage is proposed. In the scan planning step, scan directions, paths, and the number of scans are generated considering optical and mechanical parameters. In the scanning step, the generated scan plan is downloaded into the laser scanner and the motorized stage and the points on the surface are captured automatically. Finally, the point data set is analyzed to evaluate the performance of the system.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.15-35
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• 2020

In research on behavioral studies, significant attention has been paid to the stage-sequential process for multiple latent class variables. We now explore the stage-sequential process of multiple latent class variables using the multivariate latent class profile analysis (MLCPA). A latent profile variable, representing the stage-sequential process in MLCPA, is formed by a set of repeatedly measured categorical response variables. This paper proposes the extended MLCPA in order to explain an association between the latent profile variable and the latent group variable as a form of a two-dimensional contingency table. We applied the extended MLCPA to the National Longitudinal Survey on Youth 1997 (NLSY97) data to investigate the association between of developmental progression of depression and substance use behaviors among adolescents who experienced Authoritarian parental styles in their youth.

• The KSFM Journal of Fluid Machinery
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• v.5 no.1 s.14
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• pp.55-61
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• 2002

The feasibility of an oil-free, motor-driven, two-stage centrifugal compressor supported by air bump bearings is investigated. This centrifugal compressor is driven by a 75 kW motor at an operating speed of 39,000 RPM, and a pressure ratio of the compressor is set up to 4. The analysis is performed by using bearing equilibrium position, heaving stillness, Campbell diagram, unbalance response, and stability. It is demonstrated in this paper that air bump bearings can be adopted well to an oil-free, motor-driven, centrifugal compressor. Specially, Cu-coated bump bearings have enough damping force to reduce a synchronous unbalance for rigid modes of the two-stage compressor. Futhermore, this concept may be applied to the flexible rotor system such as high speed turbomachinery with a super critical speed.

• Journal of Digital Contents Society
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• v.5 no.2
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• pp.151-156
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• 2004

This paper presents process model to accomplish traffic engineering in Internet. The process model consists of 4 stages. The first stage is the formulation of a control policy dominated network operation. The second stage is the observation of the network state through a set or monitoring functions. The third stage is the characterization or traffic and analysis or the network state. The final stage is the optimization of network performance. the four stages of the process model defined above are iterated.

• Progress in Superconductivity
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• v.1 no.2
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• pp.105-109
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• 2000

We have designed and fabricated a single-flux-quantum(SFQ) four-stage shift register using YBCO bicrystal Josephson junctions, and tested its operations using a digital measurement set-up. The circuit consists of 4 shift register stages and a read SQUID placed next to each side of the shift register. Each SQUID was inductively coupled to the nearby shift register stage. The major obstacle in testing the circuits was the interference between the two read SQUIDs, and we could get over the problem by determining the correct operation points of the SQUID from the simultaneously measured modulation curves. Loaded data ('1' or '0') were successfully shifted from a stage to the next by a controlled current pulse injected to the bias lines located between the stages, and the corresponding correct data shifts were observed with the two read SQUIDs.

• Journal of Korean Society for Quality Management
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• v.18 no.1
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• pp.65-76
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• 1990

A lot-sizing model for multi-stage MRP systems is proposed, in which known demands must be satisfied. In this model, an approach with considerations of initial inventory and limited production capacity is involved. Most of the studies on the lot-sizing techniques for multi-stage material requirement planning systems have been focused upon two basic approaches. One approach is to develope an algorithm yielding an optimal solution. Due to the computational complexity and sensitivity of the optimal solution to the problem of lot sizing, heuristic approaches are often employed. In this paper, the heuristic approach is used by sequential application of a single-stage algorithm with a set of modified cost by the concept of multi-echelon costs. The proposed method is compared with an lot-sizing method(Florian-Klein Model) to prove its effectiveness by numerical examples.

• Journal of Korea Game Society
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• v.4 no.3
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• pp.65-70
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• 2004

The conventional 3D graphic accelerator is mainly focused on high performance in the application area of computer graphic and 3D video game How ever the existing 3D architecture is not suitable for portable devices because of its huge power. So, we analyze the embedded 3D graphics renderer. After the analyzing, to reduce the power, triangle set-up stage and edge walking stage are executed sequentially while scan-line processing stage and span processing stage which control performance of 3D graphic accelerator are executed parallel.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.27-39
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• 2018

Since the global positioning system (GPS) has been included in mobile devices (e.g., for car navigation, in smartphones, and in smart watches), the impact of personal GPS log data on daily life has been unprecedented. For example, such log data have been used to solve public problems, such as mass transit traffic patterns, finding optimum travelers' routes, and determining prospective business zones. However, a real-time analysis technique for GPS log data has been unattainable due to theoretical limitations. We introduced a machine learning model in order to resolve the limitation. In this paper presents a new, three-stage real-time prediction model for a person's daily route activity. In the first stage, a machine learning-based clustering algorithm is adopted for place detection. The training data set was a personal GPS tracking history. In the second stage, prediction of a new person's transient mode is studied. In the third stage, to represent the person's activity on those daily routes, inference rules are applied.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.635-641
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• 2007

The construction starts its business by receiving the order from client and owner. The client presents requirements and related information so that the desired result can come out while the designer and the builder express and implement the building according to set objectives and goals of project based on information on project environment and presented requirements. Because the construction project makes decisions on such objectives at its early stage and previous stage becomes the situation for decision making of next stage as the computation to implement decisions get performed. Accordingly, this study has mentioned necessity of requirement analysis and systematization of construction project, analyzed the work of construction's early stage and resented a plan for objective of construction project requirement definition model in which requirements engineering has been applied and using it while making decisions on designing.

• Clinical and Experimental Reproductive Medicine
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• v.27 no.2
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• pp.165-172
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• 2000

Objective: In vitro fertilization (IVF) and a prolonging the time of culture may be helpful in establishing a viable pregnancy through a selection effect. Some embryos do not develop beyond the 4-cell stage and some may not develop to the blastocyst stage. We have evaluated the safety of SET and the outcomes of pregnancy. Methods: Sperms were treated with Ham's F-10 supplemented with 10% human follicular fluid (hFF). oocytes or fertilized oocytes were cultured in Dulbecco's Modified Eagle Medium (DMEM) with 10% or 20% hFF respectively. Up to five oocytes were inseminated with approximately 200,000 sperm cells/2 ml in each well. Fertilization was examined in the following morning and fertilized oocytes were co-cultured until embryo transfer. Vero cells for co-culture were prepared in Tissue Culture Medium - 199 (TCM-199) with 10% fetal bovine serum. At the two to four cell and blastocyst on day 2 and day 5, embryo and blstocyst grading were evaluated. Pregnancy rate was determined after transfer of human embryos at the two to four cell stage on day 2 (Group I) or subsequent transfer of embryos on day 2 and at the blastocyst stage on day 5 (Group II). For statistical analysis, Student's t-test and Chi-square (${\chi}^2$_test) were used. Results were considered statistically significant when p value was less than 0.05. Results: No differences was found in the fertilization between Group I (81.0%, 98/121) and Group II (81.8%, 180/220). In case of cleavage rate, no difference was found in Group I (95.9%, 94/98) and Group II (97.8%, 174/178). However, the rate of-clinical pregnancy was significantly higher (p=0.014) in Group II (66.7%, 12/18) than in Group I (26.3%, 5/19). Conclusion: The results of this study showed that SET is safe and effective, and significantly increases the pregnancy rate.