• Title/Summary/Keyword: Probe Vehicle

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The Effect of Tool Geometry on the Mechanical Properties in a Friction Stir Welded Lap Joint between an Al Alloy and Zn-coated Steel (알루미늄 합금과 아연도금강판의 이종 겹치기 마찰교반접합에서 기계적성질에 미치는 Tool Geometry의 영향)

  • Kim, Nam-Kyu;Kim, Byung-Chul;Jung, Byung-Hoon;Song, Sang-Woo;Nakata, K.;Kang, Chung-Yun
    • Korean Journal of Metals and Materials
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    • v.48 no.6
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    • pp.533-542
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    • 2010
  • The specific motivation for joining an Al alloy and Zn-coated steel arises from the need to save fuel consumption by weight reduction and to enhance the durability of vehicle structures in the automobile industry. In this study, the lap joining A6K31 Al alloy (top) and SGARC340 Zn-coated steel (bottom) sheets with a thickness of 1.0 mm and 0.8 mm, respectively, was carried out using the friction stir weld (FSW) technique. The probe of a tool did not contact the surface of the lower Zn-coated steel sheet. The friction stir welding was carried out at rotation speeds of 1500 rpm and travel speeds of 80~200 mm/min. The effects of tool geometry and welding speed on the mechanical properties and the structure of a joint were investigated. The tensile properties for the joints welded with a larger tool were better than those for the joints done with a smaller tool. A good correlation between the tensile load and area of the welded region were observed. The bond strength using a larger tool (M4 and M3) decreased with an increase in welding speed. Most fractures occurred along the interface between the Zn-coated steel and the Al alloy. However, in certain conditions with a lower welding speed, fractures occurred at the A6K31 Al alloy.

Developing Road Hazard Estimation Algorithms Based on Dynamic and Static Data (동적·정적 자료 기반 도로위험도 산정 알고리즘 개발)

  • Yang, Choongheon;Kim, Jinguk
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.4
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    • pp.55-66
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    • 2020
  • This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

The effects of Jowiseungcheongtang versus St. John's wort in the chronic mild stress model of depression in rats (우울증(憂鬱症) 모델 흰쥐에 대한 조위승청탕(調胃升淸湯)과 St. John's Wort의 항우울효과(抗憂鬱效果)에 관한 비교 연구)

  • Kim, Kyung-Ook;Kim, Jong-Woo;Kim, Hyun-Taek;Chi, Sang-Eun;Kim, Woon-Ryoung;Hwang, Ui-Wan
    • Journal of Oriental Neuropsychiatry
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    • v.15 no.1
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    • pp.43-64
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    • 2004
  • The aim of this study was to evaluate the effects of Jowiseungcheongtang compared with St. John's wort in the chronic mild stress(CMS) animal model of depression. Wistar rats were used for this study. The subjects were divided into 4 groups (Naive group: without CMS procedure, CMS-vehicle: water was administered during CMS procedure, CMS-Jowiseungcheongtang: Jowiseungcheongtang was administered after 5 weeks of CMS procedure, CMS-St. John's wort: St. John's wort was administered after 5 weeks of CMS procedure) During 9 weeks of CMS procedure, The change of the consumption of sucrose and the changes of weights were measured. After CMS procedure, Morris water maze test, open field test, elevated plus maze test and Western blotting were measured. The results were as follows. 1. The consumption of sucrose solution was significantly reversed in Jowiseungcheongtang group and relatively reversed in St. John's Wort group at 7 week. 2. In open field test, Neither Jowiseungcheongtang nor St. John's wort group showed statistically significant change of exploratory activity. In EPM test, St. John's Wort group showed significant decrease of total arm entry in comparison with Naive group. And Jowiseungcheongtang group was showed no significant change. 3. In Morris water maze test, St. John's Wort group showed significant increase in escape latency of the last Morris water maze trial. And in water maze probe test, there was no significant change. 4. St. John's Wort group showed relative increase in LP1 division of 5HT1A receptor compared with Naive group. Both St. John's Wort and Jowiseungcheongtang group showed relative increase in P2 division of GluRl compared with Naive group. These results suggest that Jowiseungcheongtang is as effective as St. John's Wort in the treatment of depression.

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Estimation of Road Surface Condition during Summer Season Using Machine Learning (기계학습을 통한 여름철 노면상태 추정 알고리즘 개발)

  • Yeo, jiho;Lee, Jooyoung;Kim, Ganghwa;Jang, Kitae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.6
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    • pp.121-132
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    • 2018
  • Weather is an important factor affecting roadway transportation in many aspects such as traffic flow, driver 's driving patterns, and crashes. This study focuses on the relationship between weather and road surface condition and develops a model to estimate the road surface condition using machine learning. A road surface sensor was attached to the probe vehicle to collect road surface condition classified into three categories as 'dry', 'moist' and 'wet'. Road geometry information (curvature, gradient), traffic information (link speed), weather information (rainfall, humidity, temperature, wind speed) are utilized as variables to estimate the road surface condition. A variety of machine learning algorithms examined for predicting the road surface condition, and a two - stage classification model based on 'Random forest' which has the highest accuracy was constructed. 14 days of data were used to train the model and 2 days of data were used to test the accuracy of the model. As a result, a road surface state prediction model with 81.74% accuracy was constructed. The result of this study shows the possibility of estimating the road surface condition using the existing weather and traffic information without installing new equipment or sensors.

Functional recovery after transplantation of mouse bone marrow-derived mesenchymal stem cells for hypoxic-ischemic brain injury in immature rats (저산소 허혈 뇌 손상을 유발시킨 미성숙 흰쥐에서 마우스 골수 기원 중간엽 줄기 세포 이식 후 기능 회복)

  • Choi, Wooksun;Shin, Hye Kyung;Eun, So-Hee;Kang, Hoon Chul;Park, Sung Won;Yoo, Kee Hwan;Hong, Young Sook;Lee, Joo Won;Eun, Baik-Lin
    • Clinical and Experimental Pediatrics
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    • v.52 no.7
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    • pp.824-831
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    • 2009
  • Purpose : We aimed to investigate the efficacy of and functional recovery after intracerebral transplantation of different doses of mouse mesenchymal stem cells (mMSCs) in immature rat brain with hypoxic-ischemic encephalopathy (HIE). Methods : Postnatal 7-days-old Sprague-Dawley rats, which had undergone unilateral HI operation, were given stereotaxic intracerebral injections of either vehicle or mMSCs and then tested for locomotory activity in the 2nd, 4th, 6th, and 8th week of the stem cell injection. In the 8th week, Morris water maze test was performed to evaluate the learning and memory dysfunction for a week. Results : In the open field test, no differences were observed in the total distance/the total duration (F=0.412, P=0.745) among the 4 study groups. In the invisible-platform Morris water maze test, significant differences were observed in escape latency (F=380.319, P<0.01) among the 4 groups. The escape latency in the control group significantly differed from that in the high-dose mMSC and/or sham group on training days 2-5 (Scheffe's test, P<0.05) and became prominent with time progression (F=6.034, P<0.01). In spatial probe trial and visible-platform Morris water maze test, no significant improvement was observed in the rats that had undergone transplantation. Conclusion : Although the rats that received a high dose of mMSCs showed significant recovery in the learning-related behavioral test only, our data support that mMSCs may be used as a valuable source to improve outcome in HIE. Further study is necessary to identify the optimal dose that shows maximal efficacy for HIE treatment.