• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.367-380
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• 2011

This paper has focused on deriving a GPS based geodetic network adjustment strategy to continuously determine coordinate sets of the national geodetic control points. After domestic literature review on the topic and overseas case studies about countries that recently reformed their geodetic infrastructure have been carried out, a simplified geodetic network consisting of two layers, namely GPS active and passive network, has been proposed to maximize effectiveness of the network adjustment through reducing the number of the passive points. Furthermore, a GPS data processing and network adjustment procedure has been derived to support the continuous management scheme. While a scheme for the active layer adopts a sequential least squares adjustment based on a multi-baseline, that of the passive layer employs a multi-session adjustment technique with respect to 3-dimensional baseline vectors. Finally, experimental adjustment against a network comprising 24 active and 6,900 passive stations has been performed to demonstrate the efficiency and the effectiveness of the proposed method.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1994.10a
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• pp.95-102
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• 1994

This paper presents a Cable Stayed Bridge Construction Management System, which consists of Structural System Identification Method (SSIM), Error Sensitivity Analysis and Optimum Error Adjustment & Prediction System. The 1st System Identification Method builds an error influence matrix using the linear superposition of each error modes. The 2nd SSIM also considers the second error mode term, which shows good error factor estimation. The optimal cable adjustment can be accomplished within the allowable range of both cable tension and camber. The Post processor, constituted with Motif and GL library on SGI platform, is useful for monitoring construction stage management by displaying construction data, adjustment and prediction results at each construction step.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.217-230
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• 2019

This study was conducted to develop a customized severity-adjustment method and to evaluate their validity for acute myocardial infarction(AMI) patients to complement the limitations of the existing severity-adjustment method for comorbidities. For this purpose, the subjects of KCD-7 code I20.0 ~ I20.9, which is the main diagnosis of acute myocardial infarction were extracted using the Korean National Hospital Discharge In-depth Injury survey data from 2006 to 2015. Three tools were used for severity-adjustment method of comorbidities : CCI (charlson comorbidity index), ECI (Elixhauser comorbidity index) and the newly proposed CCS (Clinical Classification Software). The results showed that CCS was the best tool for the severity correction, and that support vector machine model was the most predictable. Therefore, we propose the use of the customized method of severity correction and machine learning techniques from this study for the future research on severity adjustment such as assessment of results of medical service.

• Journal of Korean Society of Transportation
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• v.10 no.2
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• pp.25-42
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• 1992

The purpose of this paper is to construct a model to compute a progression adjustment factor on a signalized network. In a way to construct the model, a simulation method is introduced and the TRAF-NETSIM is used as a tool of simulation. The structure of the network chooses an urban arterial network so as to measure the effect of progression and compute average stopped delay on each link. A regression model is constructed by using the results of the simulation. The stepwise variable selection in the regression model in used. The findings of this paper are as follows: i)The secondary queue and platoon ratio are sensitive to the values of the progression adjustment factor ii) The continuous model can practically reflect on various situations in the real world. The platoon adjustment factor can be computed by this model and the data required for this model can be easily obtained in the field.

• Journal of muscle and joint health
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• v.15 no.2
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• pp.140-154
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• 2008

Purpose: The purpose of this study was to describe the adjustment process of patients with Amyotrophic Lateral Sclerosis(ALS). Method: The data were collected from May 2007 to February 2008 through individual in-depth interviews with 4 ALS patients. The data collection and analysis were performed according to grounded theory methodology, as suggested by Strauss and Corbin. Results: 'Accepting the sick role' was the central phenomenon, which was derived from 'perceiving an intial symptom'. Therefore, the adjustment pattern was represented by using the different strategies, which were 'raising hope' and 'hoping to dye comfortably'. For taking a view of the future, ALS patients adopted the strategies of 'living positively', 'being treated hardly', 'joining in the experience', 'depending on the absolute being', 'recognizing the dying process'. Conclusion: This study provides guidance for the development of nursing interventions for patients with ALS.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.65-69
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• 1992

In this paper, an implementation of neuro-controller with an application of artificial neural network for an adjustment and tuning process for the completed electronics devices is presented. Multi-layer neural network model is employed with the learning method of error back-propagation. For the intelligent control of adjustment and tuning process, the neural network emulator (NNE) and the neural network controller(NNC) are developed. Computer simulation reveals that the intelligent controllers designed can function very effectively as tools for computer aided adjustment system. The applications of the controllers to the real systems are also demonstrated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1196-1201
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• 2006

In pointer adjustment systems, 3 byte SDH clocks are controlled for synchronization. Therefore large jitter is generated in that systems. Bit stuffing technique was introduced as method for reducing pointer adjustment jitter. However, the jitter generated in this systems is also not so small. In this paper, the problems in the bit leaking system are analyzed and new bit stuffing technique is introduced to reduce the jitter sufficiently.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.6
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• pp.1091-1095
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• 2004

Bit leaking technique is analyzed as method for reducing pointer adjustment jitter. The method for jitter reduction is described, and simulation results are represented to illustrate rms jitter performance. The results show that rms jitter value decrease to less than 25% as compared to a conventional pointer adjustment system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1848-1853
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• 2003

Stuff threshold modulation(STM) technique is analyzed as method for reducing pointer adjustment jitter. The method for jitter reduction is described, and simulation results are presented to illustrate rms jitter performance. The results show that rms jitter value decrease to less than 50％ as compared to a conventional pointer adjustment system.

• International Journal of Highway Engineering
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• v.17 no.4
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• pp.107-115
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• 2015

PURPOSES: This study analyzes the characteristics of traffic flow on freeway sections under daytime and nighttime conditions to improve traffic safety, and suggests a method to estimate an accurate freeway capacity value that reflects these characteristics. METHODS : The trends and differences in capacity were investigated using comprehensive field data collected under both daytime and nighttime conditions on freeway sections with designated speeds of 80, 100, and 120 kph. RESULTS : The capacity values under nighttime driving conditions were reduced by 3.3%, 6.9%, and 8.8% at 80, 100, and 120 kph, respectively. Several nighttime adjustment factors were deduced for each designated speed category from the analysis results. CONCLUSIONS : It is expected that more accurate capacity values can be estimated for freeway sections under nighttime conditions by applying the resulting adjustment factors. In addition, traffic safety will be improved through the increased efficiency of traffic management on these freeway sections.