• 반도체디스플레이기술학회지
• /
• 제20권4호
• /
• pp.6-9
• /
• 2021

The 3D industry is drawing attention for its applications in various markets, including architecture, media, VR/AR, metaverse, imperial broadcast, and etc.. The current feature of the architecture we are introducing is to make 3D models more easily created and modified than conventional ones. Existing methods for generating 3D models mainly obtain values using specialized equipment such as RGB-D cameras and Lidar cameras, through which 3D models are constructed and used. This requires the purchase of equipment and allows the generated 3D model to be verified by the computer. However, our framework allows users to collect data in an easier and cheaper manner using cell phone cameras instead of specialized equipment, and uses 2D data to proceed with 3D modeling on the server and output it to cell phone application screens. This gives users a more accessible environment. In addition, in the 3D modeling process, object classification is attempted through deep learning without user intervention, and mesh and texture suitable for the object can be applied to obtain a lively 3D model. It also allows users to modify mesh and texture through requests, allowing them to obtain sophisticated 3D models.

• Journal of Korean Neurosurgical Society
• /
• 제29권1호
• /
• pp.28-34
• /
• 2000

Object : To verify the effect of the lipoxygenase inhibitor and cycloxygenase inhibitor on meningioma cell proliferation. Method : Using two meningioma cell lines, cell proliferation was determined at 96 hrs after adding inhibitor (AA861, Nordihydroguaiaretic acid(NDGA), Indomethacin, acetyl-11-keto-beta-boswellic acid(AKBA) into medium by methyl tetrazolium salt/phenazine methosulfate(MTS/PMS) non-radioactive cell proliferation assay. We checked optical density with 490nm wavelength UV and this value was used as a proliferative index. The percent of inhibition was also calculated from this value. Conclusion : Indomethacin and NDGA showed no effect on meningioma proliferation. AA861 also showed no significant inhibitory effect, but AKBA demonstrated a significant inhibitory effect on meningioma cell proliferation.

• 한국통신학회논문지
• /
• 제21권5호
• /
• pp.1317-1324
• /
• 1996

An angular spectral inverse technique, applying the moment method procedure with a series expansion for the induced field in each enlarged cell, is suggested to reconstruct permittivity profiles of inhomogeneous dielectric objects and to reduce the ill-posedness inherent to inverse scattering problems. The angular spectral inverse scattering using the pulse basis function in enlarging the scatterer has the ill-posedness due to the input data of higher spectra. To reduce the number of higher spectra, enlarging the cell size and averaging over the cell with a suitable weighting function are found to play improtant roles for the reduction of ill-posedness of the angular spectral inverse scattering problems.

• 전자공학회논문지D
• /
• 제34D권12호
• /
• pp.62-67
• /
• 1997

The optical lithography wit an ArF excimer laser as a light source is expected to be used in the mass production of giga-bit DRAMs which require less than 0.2.mu.m minimum feature size. In this case, the distortion of a patterned image becomes very severe, since the lithography porcess is performed at the resolution limit. Traditionally, the photomask pattern was designed and revised with trial-and-error methods, such as repeated execution of process simulators or actual process experiments which require time and effort. Ths paper describes a program which automatically finds an optimal mask pattern. The program divides the mask plane into cells with same sizes, chooses a cell randomly, changes the transparent/opaque property of the cell, and eventually genrates a mask pattern which produces required image pattern. The program was applied to real DRAM cell patterns to produce mask patterns which genertes image patterns closer to object images than original mask patterns.

• 전자공학회논문지
• /
• 제50권11호
• /
• pp.124-129
• /
• 2013

본 논문은 SVM 알고리즘 기반의 실시간 사물 인식을 위한 고성능 벡터 내적 연산 회로를 제안한다. SVM 알고리즘은 다른 사물 인식 알고리즘에 비해 인식률이 높지만 연산량이 많다. 벡터 내적 연산은 SVM 알고리즘 연산의 주요 연산으로 사용되므로 실시간 사물 인식을 위해서는 고성능 벡터 내적 연산 회로의 구현이 필수적이다. 제안하는 회로는 연산 속도를 높이기 위해 6단 파이프라인 구조를 적용하였으며 SVM 기반 실시간 사물 인식을 가능하게 한다. 제안하는 회로는 Verilog HDL을 사용하여 RTL로 구현하였으며 실리콘 검증을 위해 TSMC 180nm 표준 셀 라이브러리를 이용하여 MPW 칩으로 제작하였다. 테스트 보드와 검증 애플리케이션 소프트웨어를 개발하고 이를 사용하여 MPW 칩의 동작을 확인하였다.

• 고려인삼학회:학술대회논문집
• /
• 고려인삼학회 2002년도 학술대회지
• /
• pp.376-384
• /
• 2002

Object To find out which of the 27 ginsenosides isolated from Panax ginseng C.A. Mey that may inhibit the proliferation of human osteosaocoma cell line $U_2OS$. Methods Effects of each individual ginsenoside on the proliferation of $U_2OS$ cell were studied by determining the viability of cancer cells during culture with or without the presence of the test compound. DNA assay was determined by flow cytometry. Results Ginsonosides -Ro, $-Rh_l,\;-Rh_2,\;-F_1\;and\;-L_8$ at concentrations of 5 ,umol/L could obviously suppress the proliferation of $U_2OS$ cells while ginsenosides $-Rg_1,\;-F_3,$ -Rf, PPT and PT significantly inhibited the cancer cells. Flow cytometry revealed that ginsenosides $-Ro,-Rg_1-Rf,-F_1-Rh_2,PPT$ and PT induced cell cycle arrest at $G_0/G_1$ phase with obvious decrease of cell count at Sand $G_2+M$ phase, Moreover, ginsenosides $-Rf_1,-Rg_1,\;-F_1$ and PPT induced significantly high rates of cell death as compared with the control. Conclusion These data suggested that ginsenosides inhibited $U_2OS$ proliferation Via cell cycle arrest or induction of cell death.

• International journal of advanced smart convergence
• /
• 제10권1호
• /
• pp.1-11
• /
• 2021

Document page segmentation is an important step in building a quality optical character recognition module. The study examined already existing work on the topic of page segmentation and focused on the development of a segmentation model that has greater functional significance for application in an organization, as well as broad capabilities for managing the quality of the model. The main problems of document segmentation were highlighted, which include a complex background of intersecting objects. As classes for detection, not only classic text, table and figure were selected, but also additional types, such as signature, logo and table without borders (or with partially missing borders). This made it possible to pose a non-trivial task of detecting non-standard document elements. The authors compared existing neural network architectures for object detection based on published research data. The most suitable architecture was RetinaNet. To ensure the possibility of quality control of the model, a method based on neural network modeling using the RetinaNet architecture is proposed. During the study, several models were built, the quality of which was assessed on the test sample using the Mean average Precision metric. The best result among the constructed algorithms was shown by a model that includes four neural networks: the focus of the first neural network on detecting tables and tables without borders, the second - seals and signatures, the third - pictures and logos, and the fourth - text. As a result of the analysis, it was revealed that the approach based on four neural networks showed the best results in accordance with the objectives of the study on the test sample in the context of most classes of detection. The method proposed in the article can be used to recognize other objects. A promising direction in which the analysis can be continued is the segmentation of tables; the areas of the table that differ in function will act as classes: heading, cell with a name, cell with data, empty cell.

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제37권11호
• /
• pp.866-870
• /
• 2010

본 논문에서는 근접 에지라는 새로운 에너지 항을 추가한 개선된 스네이크 알고리즘을 제안한다. 제안된 알고리즘은 스네이크 셀 주위에 근접하는 에지가 있을 경우 이 에지와 스네이크 셀 간의 거리를 에너지로 나타내고, 이 에너지를 전체 에너지 함수에 포함시킴으로써 물체의 윤곽선 탐색을 보다 효과적으로 수행한다. 근접 에지 기반의 스네이크 알고리즘은 셀이 물체의 오목한 경계 부분으로 탐색하는 것을 가능하게 하며, 에너지 항 사이에 실험적인 가중치 조정을 거치지 않고도 복잡한 물체의 윤곽선을 강인하게 검출할 수 있다. 제안된 방법의 성능 평가를 위한 실험에서는 개선된 스네이크 알고리즘이 속도를 크게 저하시키지 않으면서 윤곽선 추출의 정확도를 보다 개선하였음을 확인할 수 있었다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2003년도 ICCAS
• /
• pp.269-272
• /
• 2003

Industry is now seeing a dramatic increase in robot simulation and off-line programming. In order to use off-line programming effectively, the simulated workcell has to be identical to the real workcell. This requires an efficient and accurate method for the workcell calibration. Currently used techniques in the industry, however, are typically time-consuming, expensive and therefore not suitable for in-process application. This is because most of these techniques are based on the so-called “absolute calibration” method. In contrast to absolute method, relative calibration only measures the difference of an interested object relative to a standard reference. Owing to the small measurement range requirement, relative calibration method is very cheap and can achieve very high accuracy. In this paper the relative method is applied to calibrate an entire grinding workcell. Linear gauge is the only measurement device used. This workcell calibration includes tool center point (TCP) calibration and work object frame calibration. Due to the efficiency of the calibration algorithm and the simplicity of the calibration setup, the described calibration procedure can be done in process.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2007년도 추계학술대회논문집
• /
• pp.1419-1424
• /
• 2007

Centrifugal turbo blower is requested highly efficiency and low noise in FCEV, but the noise generated by this machine causes of the most serious problems in the NVH performance. In general, centrifugal turbo blower is dominated by mechanical noise and aerodynamic noise. Mechanical noise is generated by rotation of the bearing, misalignment and unbalance. And aerodynamic noise is generated by the strong intersection between the flow discharged from the impeller and the cut-off in the casing. The first object of this study is to comprehend a noise property of the blower through the noise test. And, second object is to bring up the method that can reduce blower noise.