• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.1
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• pp.1-15
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• 2000

To reconstruct 3- D shape, It is a common strategy to acquire multiple range Images from different viewpoints and integrate them into a common coordinates In this paper, we particularly focus on the registration and integration processes for combining all range Images into one surface model. For the registration, we propose the 2-step registration algorithm, which consists of 2 steps the rough registration step using all data points and the fine registration step using the high-curved data points For the integration, we propose a new algorithm, referred to as ‘multi-registration’ technique, to alleviate the error accumulation problem, which occurs during applying the pair-wise registration to each range image sequentially, in order to transform them into a common reference frame Intensive experiments are performed on the various real range data In experiments, all range images were registered within 1 minutes on Pentium 150MHz PC The results show that the proposed algorithms registrate and integrate multiple range Images within a tolerable error bound in a reasonable computation time, and the total error between all range Images are equalized with our proposed algorithms.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.97-102
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• 2008

In this paper we propose an object-based image retrieval method using spatial color model and feature points registration method for an effective color query detection. The proposed method in other to overcome disadvantages of existing color histogram methods and then this method is use the HMMD model and rough set in order to segment and detect the wanted image parts as a real time without the user's manufacturing in the database image and query image. Here, we select candidate regions in the similarity between the query image and database image. And we use SIFT registration methods in the selected region for object retrieving. The experimental results show that the proposed method is more satisfactory detection radio than conventional method.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.4
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• pp.229-240
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• 2019

3D geo-spatial model have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, the demand for high quality 3D spatial information such as precise road map construction has explosively increased, MMS and UAV techniques have been actively used to acquire them more easily and conveniently in surveying and geo-spatial field. However, in order to perform 3D modeling by integrating the two data set from MMS and UAV, its so needed an proper registration method is required to efficiently correct the difference between the raw data acquisition sensor, the point cloud data generation method, and the observation accuracy occurred when the two techniques are applied. In this study, we obtained UAV point colud data in Yeouido area as the study area in order to determine the automatic registration performance between MMS and UAV point cloud data using ICP(Iterative Closet Point) method. MMS observations was then performed in the study area by dividing 4 zones according to the level of overlap ratio and observation noise with based on UAV data. After we manually registered the MMS data to the UAV data, then compared the results which automatic registered using ICP method. In conclusion, the higher the overlap ratio and the lower the noise level, can bring the more accurate results in the automatic registration using ICP method.

• The Journal of Advanced Prosthodontics
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• v.9 no.5
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• pp.341-349
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• 2017

PURPOSE. This study evaluated the accuracies of different bite registration techniques for implant-fixed prostheses using three dimensional file analysis. MATERIALS AND METHODS. Implant fixtures were placed on the mandibular right second premolar, and the first and second molar in a polyurethane model. Aluwax (A), Pattern Resin (P), and Blu-Mousse (B) were used as the bite registration materials on the healing abutments (H) or temporary abutments (T). The groups were classified into HA, HP, HB, TA, TP, and TB according to each combination. The group using the bite impression coping was the BC group; impression taking and bite registration were performed simultaneously. After impression and bite taking, the scan bodies were connected to the lab analogs of the casts. These casts were scanned using a model scanner. The distances between two reference points in three-dimensional files were measured in each group. One-way ANOVA and Duncan's test were used at the 5% significance level. RESULTS. The smallest distance discrepancy was observed in the TB group using the temporary abutments. The Blu-Mousse and HP groups showed the largest distance discrepancy. The TB and BC groups showed a lower distance discrepancy than the HP group (P=.001), and there was no significant difference between the groups using the temporary abutments and healing abutments (P>.05). CONCLUSION. Although this study has limitations as an in-vitro investigation, the groups using the temporary abutments to hold the Blu-Mousse record and bite impression coping showed greater accuracy than the group using the healing abutments to hold the pattern resin record.

• Journal of Biomedical Engineering Research
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• v.32 no.3
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• pp.237-244
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• 2011

In this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency.

• Health Policy and Management
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• v.33 no.1
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• pp.3-18
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• 2023

Background: A chronic disease management program including patient education, recall and remind service, and reduction of out-of-pocket payment was implemented in Korea through a chronic care model. This study aimed to assess the effect of a community-based intervention program for improving medication adherence of patients with diabetes mellitus in rural areas of Korea. Methods: We applied a non-equivalent control group design using Korean National Health Insurance Big Data. Hongcheon County has been continuously adopting this program since 2012 as an intervention region. Hoengseong County did not adopt such program. It was used as a control region. Subjects were a cohort of patients with diabetes mellitus aged more than 65 years but less than 85 years among residents for 11 years from 2010 to 2020. After 1:1 matching, there were 368 subjects in the intervention region and 368 in the control region. Indirect indicators were analyzed using the difference-in-difference regression according to Andersen's medical use model. Results: The increasing percent point of diabetic patients who continuously received insurance benefits for more than 240 days from 2010 to 2014 and from 2010 to 2020 were 2.6%p and 2.7%p in the intervention region and 3.0%p and 3.9%p in the control region, respectively. The number of dispensations per prescription of diabetic patient in the intervention region increased by approximately 4.61% by month compared to that in the control region. Conclusion: The intervention program encouraged older people with diabetes mellitus to receive continuous care for overcoming the rule of halves in the community. More research is needed to determine whether further improvement in the continuity of comprehensive care can prevent the progression of cardiovascular diseases.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.5B
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• pp.466-474
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• 2003

In this paper, we develope the simulation model for Ethernet passive optical networks (Ethernet-PON) by using OPNET. Ethernet-PON is an emerging access network technology that provides a low-cost method of deploying optical access lines. The simulator uses a Request/Grant TDMA MAC protocol based on IEEE 802.3ah EFM. It also executes registration, ranging and dynamic bandwidth allocation algorithm by exchanging control packets between OLT and ONUs. We have evaluated for success ratio of initial registration process and delay of late registration process. We also have simulated for dynamic TDMA protocol and static TDMA protocol in terms of channel utilization and queueing delay. We expect that this simulator can help to determine various parameters which are considered for designing Ethernet-PON system.

• Journal of agricultural medicine and community health
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• v.33 no.3
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• pp.316-323
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• 2008

= ABSTRACT = Objectives : Incheon metropolitan city has set a model program of community partnership for hypertensive or diabetic patients detection and follow-up since 2005. This study examines the effects of the model on the compliance and the control of blood pressure or blood sugar level Methods : Telephone-surveys were done for 140 persons selected from 408 patients who were detected newly as hypertensive or diabetic patients at Gangwha-Gun and Seo-Gu in Incheon between January 1st and August 31th in 2006, and finally completed in 110 patients(78.6%). Survey questionnaires included socio-demographic(age, gender, and educational level), health behavioral (smoking, drinking, physical activity, and diet), and therapy-related (registration state, compliance, blood pressure or blood sugar control) variables. Odds ratio and 95% CI were derived from logistic regression model. Results : Registered group exhibited high compliance and well managed blood pressure or blood sugar level. The odds ratio of registration were 5.55(95% CI:1.83~16.89) for compliance and 3.78(95% CI:1.43~9.99) for blood pressure or blood sugar control after adjusting for age, gender, disease, and area Conclusions : It is independently related to compliance and blood pressure or blood sugar control whether the patient is registered or not. To control hypertension or diabetes mellitus in terms of compliance and control state, a community-based registration program through community partnership could be a powerful tool.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.351-362
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• 2016

The purpose of this study is to investigate service factors and relationships affecting customer satisfaction by measuring indexes of the entire set of high-speed railway station facilities and train services. In this study, we collected data from 202 KTX passengers and analyzed the data using the structural equation model (SEM) method. Through exploratory factor analysis (EFA), we found five major service factors, including parking related service (PRS), station convenient facilities related service (SCS), ticketing services (TIS), service within the train (SWT), and inner environments (INE). As result of a hypothesis test, it was found that PRS does not influence SWT, whereas SCS and TIS positively affect train related service. Also, SWT and INE significantly affect the overall service satisfaction of customers. Thus, our findings provide that station facilities and train service experience are important factors that can enhance customer satisfaction.

• Journal of Korea Multimedia Society
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• v.10 no.3
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• pp.303-315
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• 2007

This paper proposes a 3D structure recovery and registration method that uses four or more common points. For each frame of a given video, a partial structure is recovered using tracked points. The 3D coordinates, camera positions and camera directions are computed at once by our improved scaled orthographic factorization method. The partially recovered point sets are parts of a whole model. A registration of point sets makes the complete shape. The recovered subsets are integrated by transforming each coordinate system of the local point subset into a common basis coordinate system. The process of shape recovery and integration is performed uniformly and linearly without any nonlinear iterative process and without loss of accuracy. The execution time for the integration is significantly reduced relative to the conventional ICP method. Due to the fast recovery and registration framework, our shape recovery scheme is applicable to various interactive video applications. The processing time per frame is under 0.01 seconds in most cases and the integration error is under 0.1mm on average.