• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.28-32
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• 1989

In this paper, a DTG(Dynamically Tuned Gyroscope) and a DTG-based accelerometer designed and fabricated in the Seoul National University are described. For the purpose of the design, the functions and properties of DTG and accelerometer are investigated. The performance of the DTG is tested with the help of a single - degree - of - freedom rate table and a computer. The test result shows that the standard deviation of the DTG's random drift is 9.2 deg/(20min). The error model of the accelerometer is shown also.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.67-74
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• 2019

In this paper, we design and implement an analytics platform based on bulk cargo DTG data for crackdown on overloaded trucks. DTG(digital tachograph) is a device that stores the driving record in real time; that is, it is a device that records the vehicle driving related data such as GPS, speed, RPM, braking, and moving distance of the vehicle in one second unit. The fast processing of DTG data is essential for finding vehicle driving patterns and analytics. In particular, a big data analytics platform is required for preprocessing and converting large amounts of DTG data. In this paper, we implement a big data analytics framework based on cargo DTG data using Spark, which is an open source-based big data framework for crackdown on overloaded trucks. As the result of implementation, our proposed platform converts real large cargo DTG data sets into GIS data, and these are visualized by a map. It also recommends crackdown points.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.287-288
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• 2019

본 논문에서는 대용량 화물 DTG 데이터 분석을 위한 빅데이터 플랫폼을 설계 및 구현한다. DTG(digital tacho graph)는 차량운행기록을 실시간으로 저장하는 장치로서, 차량의 GPS, 속도, RPM, 제동유무, 이동거리 등 차량운행 관련 데이터가 1초 단위로 기록된다. 차량 운행 패턴 및 분석을 하기 위해서는 DTG 데이터의 빠른 처리가 필수적이며, 특히 대용량 DTG 데이터를 가공 및 변환하기 위해서는 별도의 플랫폼이 필요하다. 본 논문에서는 오픈소스 기반의 빅데이터 프레임워크인 스파크(Spark)를 이용하여 대용량 화물 DTG 데이터의 전처리 플랫폼을 구현하였다. 실제 대용량 화물 DTG 데이터를 대상으로 데이터를 변환 및 지도상에 표현해 보인다.

• Elastomers and Composites
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• v.42 no.1
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• pp.55-58
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• 2007

Thermal Characterization of an EPDM/IIR rubber blend was performed using TG/DTG analysis. While TGA thermograms of a virgin EPDM and IIR showed their own characteristic thermal decomposition curves, that of an EPDM/IIR blend sample showed a characteristic curve, exhibiting both decomposition characteristics of EPDM and IIR. This finding was more clarified from DTG analysis obtained by differentiation of TGA thermograms, being exhibited as two distinct shifted-peaks. Degrees of peak-shift (${\Delta}T$) compared to their original positions were $+25\;^{\circ}C$ for IIR and $-15\;^{\circ}C$ for EPDM, respectively. From these facts, thermal stability of EPDM is considered comparatively better than IIR, and moreover, it can be an evidence for the characteristics of a partial compatibility between EPDM and IIR. It is noteworthy that, if we prepare in advance a calibration curve for the composition about EPDM/IIR blend, it may be possible to analyze quantitatively an EPDM/IIR blend, using comparatively simple TGA experiments as in the present work.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.152-162
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• 2020

In the urban and rural complex, taxis move from downtown to rural areas for business purposes, and operate a combined surcharge system that preserves losses when they back to downtown. However, complaints related to the abolition of the compound surcharge system are increasing due to deformed operation that does not fit the purpose of the system. When the combinedsurcharge system is abolished, the taxi industry can be hit hard by the decrease in profits, and local governments are inevitable to support it. However, it is difficult to set the size of the subsidy considering the decrease of actual income. This study is to estimate the income reduction in the abolition of the combined surcharge system by scientific and objective method by analyzing the DTG data and the sales data collected from the digital driving recorder installed in the corporate taxi of the urban and rural complex area (e.g., Tongyeong city). This study is meaningful in that it used DTG data to solve the current issues in the real region and suggested the use of new DTG data.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.6
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• pp.27-36
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• 1999

This paper proposes algorithms that design the highly parallel multiple-valued logic circuit of DTG(Directed Tree Graph) to be represented by tree structure relationship between input and output of nodes. The conventional Nakajima's algorithms have some problems so that this paper introduce the concept of mathematical analysis based on tree structure to design optimized locally computable circuit. Using the proposed circuit design algorithms in this paper it is possible to design circuit in that DTG have any node number - not to design by Nakajima's algorithms. Also, making a comparison between the circuit design using Nakajim's algorithms and this paper's, we testify that proposed algorithms in this paper optimizes circuit design all case of DTG. Some examples are shown to demonstrate the usefulness of the circuit design algorithm.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.9
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• pp.1131-1139
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• 1999

In this paper, we present a wide-bandwidth digital rebalance loop for a dynamically tuned gyroscope(DTG) based on {{{{ { H}_{2 } }}}} methodology. The operational principle and the importance of a rebalance loop are explaind, first. The augmented plant model is constructed, which includes a gyroscope model and an integrator. An {{{{ { H}_{ 2} }}}} based controller is designed for the augmented plant model. To verify the performance of the controller, a digital rebalance loop for a DTG is designed, fabricated and experimented. Through frequency response analyses and experiments using a real DTG, it is confirmed that the controller is more robustly stable and has a wider bandwidth compared with those of a conventional PID controller, contributing to the performance improvement of a DTG.

• Aerospace Engineering and Technology
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• v.6 no.2
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• pp.150-156
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• 2007

In this paper, we focus on the fault detection and isolation(FDI) method for inertial navigation system with three two-degree of freedom dynamically tuned gyros(DTG) on orthogonal sensor configuration. we propose the FDI method which can detect the fault of each DTGs rather than the fault of each sensing axis. The proposed FDI method is separated into two FDI modules according to the fault magnitude in order to improve the reliability of fault detection information. For large fault detection, only instantaneous DTG measurement is used to detect a fault DTG within a short time. For small fault detection, the integrated value of DTG measurements are used to detect a fault DTG. It takes a more time to detect a fault but it serves more reliable fault detection information. Using the proposed FDI method with consideration of DTG fault characteristic, we could find out a fault DTG successfully.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.171-180
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• 2021

The present study investigated the effects of dynamic tubing gait (DTG II) program on the balancing ability for the promotion of life care of patients with chronic stroke. In the study, 25 sessions of DTG II program (30 minutes per session, 5 sessions per week, for a total of 5 weeks) were applied to 10 patients with chronic stroke. To determine the effects of DTG II program for improving balance, surface electromyography(external oblique, erector spinae, iliopsoas, gluteus maximus), symmetry index test on three pelvic axes, and dynamic gait index test were performed before and after the intervention. The results showed statistically significant differences between preand post-intervention measurements of the gluteus maximus muscle at early and mid-stance phases(p<.05). The pelvic symmetry index differed significantly between pre- and post-intervention measurements of diagonal and rotational movement(p<.05). Comparison of dynamic gait index also showed statistically significant differences between pre- and post-intervention measurements(p<.05). Based on these findings, it was determined that the DTG II program was able to improve the balancing ability of patients with chronic stroke by activating their trunk muscles and improving the symmetry of diagonal pelvic movement and rotation. Therefore, DTG II program is recommended as an interventional method to improve life-care through improving the balancing ability of patients with chronic stroke.