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Effect of tension difference of kinesio tape applied to the tibialis anterior muscle on muscle strength, joint range of motion, and balance of the ankle joint in young college students (키네시오 테이프의 장력 차이가 젊은 대학생들의 발목 근력, 관절가동범위 및 균형에 미치는 영향)

  • Lee, Dae Hoon;Kim, Cho In;Shin, Gi Ha;Yeom, Yoo Jin;Kim, Ji Sung;Kim, Seong Ho
    • Journal of Korean Physical Therapy Science
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    • v.29 no.2
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    • pp.28-37
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    • 2022
  • Background: The purpose of this study was to investigate the effects of differences in the tension of Kinesio tape applied to the tibialis anterior muscle on muscle strength, joint range of motion and balance of ankle joint in young adults. Design: Randomized Controlled Trial. Methods: 41 young college students participated in this study. And the subjects were allocated randomly to two group. The experimental group had a tension difference (10%G, n=20). And there was no difference in tension in the control group (0%G, n=21). Jtech power track II, goniometer, and Biorescue were used to measure muscle strength, joint range of motion and balance. The paired t-test was performed to examine the differences within the groups before and after taping, and the independent t-test was performed to examine the differences between the groups. Result: 1) As a result of measuring muscle strength of each group, all measurements except 0%G of plantar flexion showed insignificant results. 2) Measurement of joint range of motion each group showed that neither 0%G nor 10%G was significant. 3) As a result of measuring the baladncing ability of each group there was a significant decrease in length, and average speed of the balancing capability (p<.05). 4) Comparisons between groups showed significant differences in the area among balance capability (p<.05). Conclusions: Based on these findings, the tension difference of Kinesio tape applied to the tibialis anterior muscle shows little effect on the muscle strength, range of motion, and balance of ankle joints. Given the current lack of research on the tension of kinesio tapes many studies are needed in the future to establish clear theories.

Study on the Identification of Ship Maneuverability Required for Navigational Officers based on AHP Analysis (AHP 분석 기반 항해사 필요 선박조종성능 식별 연구)

  • Kang, Suk-Young;Ahn, Young-Joong;Yu, Yong-Ung;Lee, Yun-Sok
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.800-808
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    • 2022
  • The International Maritime Organization adopted the interim standards for ship maneuverability in November 1993 for preventing collision of ships at sea and for protecting the marine environment, and based on the accumulated data, in December 2002, the established standards for ship maneuverability were adopted. However, the standards adopted are those at full load, even keel, and at least 90 % of the ship speed at 85 % of the ship's maximum power. Moreover, these standards have limitations in providing information on maneuverability under actual navigational conditions. Therefore, in this study, frequency analysis AHP analysis techniques were studied by consulting navigational officers, captains, and experts, who have significant knowledge on ship maneuverability, utilization of the current standards, and the information necessary for the operation of the actual ship. The results of this study confirmed that the necessary information on maneuverability for the navigational officer operating the vessel is information about the turning circle at a small angle of 5°-10° and z-test information at maneuvering speed, not sea speed. Additionally, in relation to speed control, additional information on deceleration inertia and acceleration inertia is needed than the information on the stopping ability at sea speed and full loaded condition. The derived results are considered to be useful as basic data for preparing guidelines for ship maneuverability necessary for navigational of icers who operate ships.

Employee's Business Outlook Disclosed Through Social Media And Employment Growth : The Case of Jobplanet (소셜미디어를 통한 직원의 기업전망 평가와 고용증가와의 상관성 : 잡플래닛 기업전망을 대상으로)

  • Byeongsoo, Kim;Ju Young, Kang
    • Smart Media Journal
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    • v.11 no.10
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    • pp.9-21
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    • 2022
  • The recent expansion of the use of social media has served as an opportunity to express users' opinions in real time in various fields such as society, economy, politics, and culture, and brought many platforms that provide various information about companies. Among them, Glassdoor.com which started 2008 in US provides users with evaluations of the current and the former employees of their companies and also provides a outlooks for the company's growth Such a platform has the utility of providing necessary information to whom want to find a job or change jobs. In addition to this, variable studies have shown that the company information provided through these platforms is useful for investors as well. In this study, it was tested whether the corporate growth prospects of employees provided by Jobplanet, a platform with a typical function similar to Glassdoor.com in Korea, have predictive power to predict actual corporate growth. The forecast provided by Jobplanet and the company's financial indicator data received from FnGuide were collected and composed of panel data and analyzed using fixed effect model regression analysis. As a result, it was found that companies with positive prospects had higher employment growth than companies with negative prospects. When the outlook was neutral, the employment growth rate was higher than that of companies with a negative outlook.

A study on the utilization of abrasive waterjet for mechanical excavation of hard rock in vertical shaft construction (고강도 암반에서 수직구 기계굴착을 위한 연마재 워터젯 활용에 관한 연구)

  • Seon-Ah Jo;Ju-Hwan Jung;Hee-Hwan Ryu;Jun-Sik Park;Tae-Min Oh
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.5
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    • pp.357-371
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    • 2023
  • In cable tunnel construction using TBM, the vertical shaft is an essential structure for entrance and exit of TBM equipment and power lines. Since a shaft penetrates the ground vertically, it often encounters rock mass. Blasting or rock splitting methods, which are mainly used to the rock excavation, cause public complaints due to the noise, vibration and road occupation. Therefore, mechanical excavation using vertical shaft excavation machine are considered as an alternative to the conventional methods. However, at the current level of technology, the vertical excavation machine has limitation in its performance when applied for high strength rock with a compressive strength of more than 120 MPa. In this study, the potential utilization of waterjet technology as an excavation assistance method was investigated to improve mechanical excavation performance in the hard rock formations. Rock cutting experiments were conducted to verify the cutting performance of the abrasive waterjet. Based on the experimental result, it was found that ensuring excavation performance with respect to changing in ground conditions can be achieved by adjusting waterjet parameters such as standoff distance, traverse speed and water pressure. In addition, based on the relationship between excavation performance, uniaxial compressive strength and RQD, it was suggested that excavation performance could be improved by artificially creating joints using the abrasive waterjet. It is expected that these research results can be utilized as fundamental data for the introduction of vertical shaft excavation machines in the future.

Learning Data Model Definition and Machine Learning Analysis for Data-Based Li-Ion Battery Performance Prediction (데이터 기반 리튬 이온 배터리 성능 예측을 위한 학습 데이터 모델 정의 및 기계학습 분석 )

  • Byoungwook Kim;Ji Su Park;Hong-Jun Jang
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.3
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    • pp.133-140
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    • 2023
  • The performance of lithium ion batteries depends on the usage environment and the combination ratio of cathode materials. In order to develop a high-performance lithium-ion battery, it is necessary to manufacture the battery and measure its performance while varying the cathode material ratio. However, it takes a lot of time and money to directly develop batteries and measure their performance for all combinations of variables. Therefore, research to predict the performance of a battery using an artificial intelligence model has been actively conducted. However, since measurement experiments were conducted with the same battery in the existing published battery data, the cathode material combination ratio was fixed and was not included as a data attribute. In this paper, we define a training data model required to develop an artificial intelligence model that can predict battery performance according to the combination ratio of cathode materials. We analyzed the factors that can affect the performance of lithium-ion batteries and defined the mass of each cathode material and battery usage environment (cycle, current, temperature, time) as input data and the battery power and capacity as target data. In the battery data in different experimental environments, each battery data maintained a unique pattern, and the battery classification model showed that each battery was classified with an error of about 2%.

Helmholtz Coil and Performance of Magnetic Compass (인공자장발생장치와 자기 컴퍼스의 성능)

  • Ahn, Young-wha;Jeong, Kong-heun;Ahn, Jang-young;Sin, Hyeong-il
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.19 no.2
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    • pp.111-116
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    • 1983
  • In order to furnish the fundamental data for the domestic production of magnetic compass and the prescription of standardization about it in Korea, authors made the helmholtz coil and investigated the characteristics of them. Subsequently, the damping curves of T190 and T165 compasses in the helmholtz coil were measured and analyzed the performance of those compass. The results obtained are as follows; 1. The relation between electric current (I sub I) to flow in the helmholtz coils, that the thickness of coil is 1mm, diameter 1m, winding number 117, and intensity of magnetic field is presented as follows. Vertical magnetic force: Z(Gauss)=0.34+1.506 I sub(i) Horizontal magnetic force: H(Gauss)=0.183+1.506 I sub(i) 2. Period of T190 compass is longer than T165 compass in all horizontal magnetic force. In the amplitude, the former is larger than the latter above 0.08 Gauss, but this phenomenon is opposed to that below 0.08 Gauss. 3. As the porizontal magnetic force is intensive, period of magnetic compass is short, amplitude is large, and damping degree and damping factor are small. The time elapsed to the principal points of damping curve is proportional to the -0.65 power of the horizontal magnetic force.

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A Study on the Supply of First/Last Mile Transportation Methods Based on ABATA Travel Patterns Analysis for the Provision of MaaS (MaaS 제공을 위한 ABATA 통행 분석 기반의 First/Last Mile 이동 수단 공급 방안 연구)

  • Choi, Jaeon;Song, Jaein;Kang, Min Hee;Eom, Jinki;Hwang, Kee Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.159-181
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    • 2022
  • Today, people in cities use differentthe types of transportation that rangepeople use in cities have diversified from existing public transportation, cars, taxis to shared bicycles and shared electric kickboards. In addition, with the development of mobile platform -based search, order, and payment services, and transportation services have also begun to change into platform-based integrated services. In particular, MaaS, which has emerged as an integrated mobile service and, is currently being studied and operated worldwide., However, MaaS but remains at the level of the integrated provision of the existing public transportation. As a result of Specifically, the results of a literature review on this issue reveal that, the First/Last Mile problem raised at the current level of MaaS is likely to be solved by establishing an improved policy incorporating new means of transportation. Therefore, this study aims to establish a First/Last Mile transportation supply plan for successful MaaS provision. This establishment is realized by analyzing the traffic patterns of urban populations usingbased on the ABATA system,, an activity-based traffic analysis model withevaluated as having higher analysis power on people's traffic.

Research on ANN based on Simulated Annealing in Parameter Optimization of Micro-scaled Flow Channels Electrochemical Machining (미세 유동채널의 전기화학적 가공 파라미터 최적화를 위한 어닐링 시뮬레이션에 근거한 인공 뉴럴 네트워크에 관한 연구)

  • Byung-Won Min
    • Journal of Internet of Things and Convergence
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    • v.9 no.3
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    • pp.93-98
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    • 2023
  • In this paper, an artificial neural network based on simulated annealing was constructed. The mapping relationship between the parameters of micro-scaled flow channels electrochemical machining and the channel shape was established by training the samples. The depth and width of micro-scaled flow channels electrochemical machining on stainless steel surface were predicted, and the flow channels experiment was carried out with pulse power supply in NaNO3 solution to verify the established network model. The results show that the depth and width of the channel predicted by the simulated annealing artificial neural network with "4-7-2" structure are very close to the experimental values, and the error is less than 5.3%. The predicted and experimental data show that the etching degree in the process of channels electrochemical machining is closely related to voltage and current density. When the voltage is less than 5V, a "small island" is formed in the channel; When the voltage is greater than 40V, the lateral etching of the channel is relatively large, and the "dam" between the channels disappears. When the voltage is 25V, the machining morphology of the channel is the best.

Electrical Characterization of Lateral NiO/Ga2O3 FETs with Heterojunction Gate Structure (이종접합 Gate 구조를 갖는 수평형 NiO/Ga2O3 FET의 전기적 특성 연구)

  • Geon-Hee Lee;Soo-Young Moon;Hyung-Jin Lee;Myeong-Cheol Shin;Ye-Jin Kim;Ga-Yeon Jeon;Jong-Min Oh;Weon-Ho Shin;Min-Kyung Kim;Cheol-Hwan Park;Sang-Mo Koo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.4
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    • pp.413-417
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    • 2023
  • Gallium Oxide (Ga2O3) is preferred as a material for next generation power semiconductors. The Ga2O3 should solve the disadvantages of low thermal resistance characteristics and difficulty in forming an inversion layer through p-type ion implantation. However, Ga2O3 is difficult to inject p-type ions, so it is being studied in a heterojunction structure using p-type oxides, such as NiO, SnO, and Cu2O. Research the lateral-type FET structure of NiO/Ga2O3 heterojunction under the Gate contact using the Sentaurus TCAD simulation. At this time, the VG-ID and VD-ID curves were identified by the thickness of the Epi-region (channel) and the doping concentration of NiO of 1×1017 to 1×1019 cm-3. The increase in Epi region thickness has a lower threshold voltage from -4.4 V to -9.3 V at ID = 1×10-8 mA/mm, as current does not flow only when the depletion of the PN junction extends to the Epi/Sub interface. As an increase of NiO doping concentration, increases the depletion area in Ga2O3 region and a high electric field distribution on PN junction, and thus the breakdown voltage increases from 512 V to 636 V at ID =1×10-3 A/mm.

District-Level Seismic Vulnerability Rating and Risk Level Based-Density Analysis of Buildings through Comparative Analysis of Machine Learning and Statistical Analysis Techniques in Seoul (머신러닝과 통계분석 기법의 비교분석을 통한 건물에 대한 서울시 구별 지진취약도 등급화 및 위험건물 밀도분석)

  • Sang-Bin Kim;Seong H. Kim;Dae-Hyeon Kim
    • Journal of Industrial Convergence
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    • v.21 no.7
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    • pp.29-39
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    • 2023
  • In the recent period, there have been numerous earthquakes both domestically and internationally, and buildings in South Korea are particularly vulnerable to seismic design and earthquake damage. Therefore, the objective of this study is to discover an effective method for assessing the seismic vulnerability of buildings and conducting a density analysis of high-risk structures. The aim is to model this approach and validate it using data from pilot area(Seoul). To achieve this, two modeling techniques were employed, of which the predictive accuracy of the statistical analysis technique was 87%. Among the machine learning techniques, Random Forest Model exhibited the highest predictive accuracy, and the accuracy of the model on the Test Set was determined to be 97.1%. As a result of the analysis, the district rating revealed that Gwangjin-gu and Songpa-gu were relatively at higher risk, and the density analysis of at-risk buildings predicted that Seocho-gu, Gwanak-gu, and Gangseo-gu were relatively at higher risk. Finally, the result of the statistical analysis technique was predicted as more dangerous than those of the machine learning technique. However, considering that about 18.9% of the buildings in Seoul are designed to withstand the Seismic intensity of 6.5 (MMI), which is the standard for seismic-resistant design in South Korea, the result of the machine learning technique was predicted to be more accurate. The current research is limited in that it only considers buildings without taking into account factors such as population density, police stations, and fire stations. Considering these limitations in future studies would lead to more comprehensive and valuable research.