• Title/Summary/Keyword: Big data traffic

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Legibility Change of Commercial Vehicles Equipped with the Rear Lighting System (화물자동차 보조 후미등화장치 설치에 따른 운전자 시인성 변화)

  • Cho, Seung Jin;Lee, Chang Hee;Kum, Ki Jung
    • International Journal of Highway Engineering
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    • v.15 no.5
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    • pp.111-122
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    • 2013
  • PURPOSES : The purpose of this system (Rear Lighting System) is to provide illumination for the driver to operate the commercial vehicle safely after dark in highway, to increase the conspicuity of the vehicle, and especially be suggesting the finest observable improvement method, depending on color and pattern of rear lighting system of truck for midnight highway traffic. METHODS : Rear lightning system as an improving way for forward commercial vehicles lighting the securing sight from human factors and the surrounding environment in midnight driving. For this one, basic materials were collected from the data analysis about many types of problems, and filed investigation for establishing Driving Simulator. also taking statistic test to human volunteers after finding recognizable distance of them. RESULTS : As a result, color with the highest visuality is amber followed by green-red-blue as in order for all road types. Especially almost no difference is found between red and green, also when the light is turn off, recognizable distances is wide difference compared to turn on the light. One more thing about study per pattern, upper and entire lighting have similar recognizable distances, but under lighting shows short distance with difficulty securing sight from medians. And straight section shows similar recognizable distances. By finding visuality improvement method depending on color and pattern of supplement taillight, it is expected to suggest quantitative judgement standard for introducing regulation and improvement of supplement taillight. CONCLUSIONS : Night time vehicle conspicuity to the rear is provided by rear position lamps. this study is showed that the color of light ramp is not important to be safe driving, most important is to turn on the light, recognizable distances is big different compared to turn off the rear light, so when the drivng dark in highway, have to turn on the light for reducing risk.

A study of the activation from strategic perspectives based on autonomous vehicle issues and problem solving (자율주행자동차의 이슈 및 문제해결에 기반한 전략적 관점에서의 활성화 방안 연구)

  • Jo, Jae-Wook
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.241-246
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    • 2021
  • Although there have been many studies on laws and systems for the proliferation of autonomous vehicles, studies on the activation of autonomous vehicles from a strategic perspective are insufficient. This study examines the issues and problem solving methods of autonomous vehicles. Based on this, plans to activate autonomous vehicles from a strategic point of view are proposed. In order to solve the issues and problems of autonomous vehicles, it is necessary to clearly establish legal and institutional standards based on the reinforcement of the safety of autonomous vehicles. In the event of a traffic accident, who is responsible for the accident and responsibility for compensation should be prioritized. Diffusion strategies are established according to the level of autonomous driving for the activation of autonomous vehicles in strategic perspective. In addition, governmental support policies should be used as triggers for initial activation, and marketing mix strategies should be implemented based on segmentation, targeting, and positioning strategies.

An Empirical Study on the Subscribers' Usage and Attitude in the Korean Mobile Service Market (최근 국내 이동통신서비스 이용행태 분석)

  • Yu, J.E.;Lee, S.J.
    • Electronics and Telecommunications Trends
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    • v.37 no.3
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    • pp.74-84
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    • 2022
  • The Korean mobile service market has persistently grown with the number of subscribers and volume of mobile traffic. It shows the slow diffusion of 5G subscribers, and rapid growth of both the MVNO(Mobile Virtual Network Operator) market and unlocked mobile phones. Therefore, this study derives the direction of telcos' strategies and policy implications by empirically analyzing the usage and attitude of LTE and 5G subscribers. Our major findings are as follows: First, our current mobile service subscription market constitutes most long-term customers for their incumbent carriers only by device change from lock-in with bundle services. Mobile tariffs, data speed, and benefits of bundle services are important factors affecting choices and customers' satisfaction with a provider and intentions of churning to another. Second, demand and satisfaction for using 5G are less because speeds and service tariffs act as pain points for 5G services. Third, the users' high preferences for MVNOs and unlocked mobile phones are linked to their subscription to MVNOs' low-cost plans with unlocked mobile phones on online channels. These streams lead to a big change in the market competition that MNO(Mobile Network Operator)s' market shares are expected to decrease and MVNOs' shares will be increased by two times, in the near future. Therefore, MNOs need to change their distribution strategies from offline to online channels and try to resolve the stereotype, "mobile tariffs are expensive," by enhancing their service values. Finally, as consumers prefer one-stop service in the same channel regardless of the distribution channel, policies should focus on the consumers' needs for convenience rather than on the channel separation for perfectly unlocked mobile phones.

The status quo of offering help in emergency room on pediatric patients with 119 rescuer - Focused on the Emergency Center of C National University Hospital - (119구급대를 이용한 소아환자의 응급실 내원 현황 - C대학병원 응급의료센터를 중심으로 -)

  • Yun, Jong-Geum;Lee, Jeong-Yong
    • The Korean Journal of Emergency Medical Services
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    • v.11 no.3
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    • pp.119-128
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    • 2007
  • It is happening a lot that the pediatric patients who are offering help in emergency room with background 119 rescuer require emergency care compared to adults. Our study was conducted to have a clear grasp of the status quo of pediatric patients who are offering help in emergency room with 119 rescuer. METHOD & OBJECT pediatric patients under 8 age who were offering help was conducted as objects by 119 cases from January, 2006 to January 2007, with 119 rescuer at C university hospital in Gwangju metropolitan city, which were 87 cases for a boy(73.1%), 32 cases for a girl. Based on emergency diary of emergency members and the medical treatment record of emergency room in C university hospital, a disease and a type of an external wound were analyzed according to ages of these patients, a time zone and season. RESULT In terms of an age, 25 cases(21.0%) have less than 1 age extremelymuch, in case of emergency, 61 cases(51.3%), which were more than non-emergency, in terms of happened places of patients, there were households up to 78 cases(65.5%) extremely much. In terms of happened time, 13:00 to 18:00 have highest data up to 48 cases(40.3%). According to season, there were no big differences in 4 seasons(spring : 30.3%, summer : 24.4%, fall : 29.4%, winter : 16.0%). In case of being offered help at emergency room due to diseases, 1-2 ages have highest estimate with 55.7%, in terms of a time zone, 19:00-24:00 have highest with 33.7%, in terms of season, summer(6, 7, 8) have highest with 32.8%. in case of traffic accident, 7-8 age have highest with 47.1%, according to a time zone, 13:00 to 18:00 have highest with 88.2%, according to season, fall have highest with 64.7%. In case of an external wound, 3-4 age have highest with 38.2%, according to a time zone, 13:00-18:00 have highest with 41.2%, according to season, spring have highest with 38.2%. CONCLUSION It shows that in case of pediatric patients who were offering help at emergency room with 119 rescuer, a pediatric under 1 age was due to a disease, in case of an external wound, there were 3-4 age, in case of traffic accident, 7-8 age have highest, a case for emergency have highest.

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Development of Ubiquitous Sensor Network Intelligent Bridge System (유비쿼터스 센서 네트워크 기반 지능형 교량 시스템 개발)

  • Jo, Byung Wan;Park, Jung Hoon;Yoon, Kwang Won;Kim, Heoun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.1
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    • pp.120-130
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    • 2012
  • As long span and complex bridges are constructed often recently, safety estimation became a big issue. Various types of measuring instruments are installed in case of long span bridge. New wireless technologies for long span bridges such as sending information through a gateway at the field or sending it through cables by signal processing the sensing data are applied these days. However, The case of occurred accidents related to bridge in the world have been reported that serious accidents occur due to lack of real-time proactive, intelligent action based on recognition accidents. To solve this problem in this study, the idea of "communication among things", which is the basic method of RFID/USN technology, is applied to the bridge monitoring system. A sensor node module for USN based intelligent bridge system in which sensor are utilized on the bridge and communicates interactively to prevent accidents when it captures the alert signals and urgent events, sends RF wireless signal to the nearest traffic signal to block the traffic and prevent massive accidents, is designed and tested by performing TinyOS based middleware design and sensor test free Space trans-receiving distance.

Time series and deep learning prediction study Using container Throughput at Busan Port (부산항 컨테이너 물동량을 이용한 시계열 및 딥러닝 예측연구)

  • Seung-Pil Lee;Hwan-Seong Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.391-393
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    • 2022
  • In recent years, technologies forecasting demand based on deep learning and big data have accelerated the smartification of the field of e-commerce, logistics and distribution areas. In particular, ports, which are the center of global transportation networks and modern intelligent logistics, are rapidly responding to changes in the global economy and port environment caused by the 4th industrial revolution. Port traffic forecasting will have an important impact in various fields such as new port construction, port expansion, and terminal operation. Therefore, the purpose of this study is to compare the time series analysis and deep learning analysis, which are often used for port traffic prediction, and to derive a prediction model suitable for the future container prediction of Busan Port. In addition, external variables related to trade volume changes were selected as correlations and applied to the multivariate deep learning prediction model. As a result, it was found that the LSTM error was low in the single-variable prediction model using only Busan Port container freight volume, and the LSTM error was also low in the multivariate prediction model using external variables.

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An Empirical Study on the Spatial Effect of Distribution Patterns between Small Business and Social-environmental factors (소상공인 점포의 분포와 환경요인의 공간적 영향관계에 관한 실증연구)

  • YOO, Mu-Sang;CHOI, Don-Jeong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.1
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    • pp.1-18
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    • 2019
  • This research measured and visualized the spatial dependency and the spatial heterogeneity of the small business in Cheonan-si, Asan-si with $100m{\times}100m$ grids based on global and local spatial autocorrelation. First, we confirmed positive spatial autocorrelation of small business in the research area using Moran's I Index, which is ESDA(Exploratory Spatial Data Analysis). And then, through Getis-Ord $GI{\ast}$, one kind of LISA(Local Indicators of Spatial Association), local patterns of spatial autocorrelation were visualized. These verified that Spatial Regression Model is valid for the location factor analysis on small business commercial buildings. Next, GWR(Geographically Weighted Regression) was used to analyze the spatial relations between the distribution of small business, hourly mobile traffic-based floating population, land use attributes index, residence, commercial building, road networks, and the node of traffic networks. Final six variables were applied and the accessibility to bus stops, afternoon time floating population, and evening time floating population were excluded due to multicollinearity. By this, we demonstrated that GWR is statistically improved compared to OLS. We visualized the spatial influence of the individual variables using the regression coefficients and local coefficients of determinant of the six variables. This research applied the measured population information in a practical way. Reflecting the dynamic information of the urban people using the commercial area. It is different from other studies that performed commercial analysis. Finally, this research has a differentiated advantage over the existing commercial area analysis in that it employed hourly changing commercial service population data and it applied spatial statistical models to micro spatial units. This research proposed new framework for the commercial analysis area analysis.

Transition of Service Paradigm from Service Recovery to Proactive Service (사후 서비스에서 선제적 서비스로 서비스 패러다임의 전환)

  • Rhee, Hyunjung;Kim, Hyangmi;Rhee, Chang Seop
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.396-405
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    • 2020
  • In this study, we used the big data of Voice of Customer (VOC) related to high-speed Internet products to look at the causes of perceived quality and the possibility of proactive service. In order to verify the possibility of proactive service, we collected VOC data from 13 facilities and equipment of a mobile communication service company, and then conducted 𝒙2 test to verify that there was a statistically significant difference between the actual VOC observation values and expected values. We found statistical evidence that proactive service is possible through real-time monitoring for the six disability alarms among the 13 facilities and equipment, which are FTTH-R Equipment ON/OFF, FTTH-EV Line Error Detection, Port Faulty, FTTH-R Line Error Detection, Network Loop Detection, and Abnormal Limiting Traffic. Companies are able to adopt the proactive service to improve their market share and to reduce customer service costs. The results of this study are expected to contribute to the actual application of industry in that it has diagnosed the possibility of proactive service in the telecommunication service sector and further suggested suggestions on how to provide effective proactive service.

Analysis of Domestic Water Pollution Accident and Response Management (국내 수질오염사고 현황 분석과 대응 체계)

  • Lee, Jae-Kyun;Kim, Tae-O;Jung, Yong-Jun
    • Journal of Wetlands Research
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    • v.15 no.4
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    • pp.529-534
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    • 2013
  • Domestic water pollution accidents and response management were analysed on the basis of collected data from the latest 5 years. Although average 66.7 number of accidents were happened every year, no damages of human life were reported yet. According to the data collected, the accidents were occurred at Han river, Nakdong river, Keum river, Youngsang river and other rivers, where the percentages were 25.4%, 20.3%, 12%, 8% and 29.7%, respectively. Main reasons were blamed for negligent management, mixed influences, natural phenomenon and traffic accident. Response activities were performed in the case of the oil leak, the fish death caused by water environment, the spill of chemicals. From the diagnosis of water pollution accidents, it is recommended that the legistration of all control centers for their roles and duties was made in case of the big accidents as well as the small/middle accidents.

Drone-based smart quarantine performance research (드론 기반 스마트 방재 방안 연구)

  • Yoo, Soonduck
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.2
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    • pp.437-447
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    • 2020
  • The purpose of this study is to research the countermeasures and expected effects through the use of drones in the field of disaster prevention as a drone-based smart quarantine performance method. The environmental, market, and technological approaches to the review of the current quarantine performance task and its countermeasures are as follows. First, in terms of the environment, the effectiveness of the quarantine performance business using drone-based control is to broaden the utilization of forest, bird flu, livestock, facility areas, mosquito larvae, pests, and to simplify and provide various effective prevention systems such as AI and cholera. Second, in terms of market, the standardization of livestock and livestock quarantine laws and regulations according to the use of disinfection and quarantine missions using domestic standardized drones through the introduction of new technologies in the quarantine method, shared growth of related industries and discovery of new markets, and animal disease prevention It brings about the effect of annual budget savings. Third, the technical aspects are (1) on-site application of disinfection and prevention using multi-drone, a new form of animal disease prevention, (2) innovation in the drone industry software field, and (3) diversification of the industry with an integrated drone control / control system applicable to various markets. (4) Big data drone moving path 3D spatial information analysis precise drone traffic information ensures high flight safety, (5) Multiple drones can simultaneously auto-operate and fly, enabling low-cost, high-efficiency system deployment, (6) High precision that this was considered due to the increase in drone users by sector due to the necessity of airplane technology. This study was prepared based on literature surveys and expert opinions, and the future research field needs to prove its effectiveness based on empirical data on drone-based services. The expected effect of this study is to contribute to the active use of drones for disaster prevention work and to establish policies related to them.