• Title/Summary/Keyword: Traffic classification

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광주·전남의 구급대 활동분석 및 발전방안

  • Park, Hui-Jin;O, Yong-Gyo
    • The Korean Journal of Emergency Medical Services
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    • v.1 no.1
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    • pp.71-86
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    • 1997
  • This study is to suggest some developmental policies by analyzing the activities of first aid party in Kwangju and Chonnam regions for two years from Jan. 1, 1991 to the end of December, 1995. First, the residents in Kwangju and Chonnam regions have the sufficient benefits of emergency medical center, but it will be desirable that general hospital should be established and managed in Kohung peninsula which forms the wide island area far away from big cities. Second, the classification of the degree of severe case in the field by rescue members should be strengthened as the means which can reduce the number of patients transferred to the emergency room and the legal method which rescue members can select the medical agency. Third, children less than 10 are most frequent emergent patients and it is due to parent's indifference and children's in sensibility to safety. So the safely education in the course of infant and elementary education should be strengthened and the method which can keep the self safety through the legal system. Fourth, to increase the rate of emergency measure by rescue members, the reasons of fail of emergency treatment are suggested, the treatment results of each rescue member are analyzed every year and it is desirable that the system which can evaluate the personal ability should be introduced. Fifth, the medical accidents occurred in the case of medical act, by rescue members must lake the legal responsibility, but such a problem can he solved with the compensation of insurance system by government. Sixth, to reduce the time required for transfer, traveling service system for the fixed period in beach should be complemented and extended more and service system at ordinary times should be examined at mountains, the area of traffic jams and large special industrial park. Seventh, since service system with one team of two members of 119 rescue party in expressway cannot be mobilized when multiple accidents occur at the same time, it is considered that service system of two teams of four members should be extended. Eighth, first-aid service in expressway is conducted with rescue and emergency treatment by the rescue party at the same time, but the professional rescue lacks and it may result in the injury of patients. Therefore the creation of rescue party in expressway is the urgent problem.

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Performance Evaluation of a Machine Learning Model Based on Data Feature Using Network Data Normalization Technique (네트워크 데이터 정형화 기법을 통한 데이터 특성 기반 기계학습 모델 성능평가)

  • Lee, Wooho;Noh, BongNam;Jeong, Kimoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.785-794
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    • 2019
  • Recently Deep Learning technology, one of the fourth industrial revolution technologies, is used to identify the hidden meaning of network data that is difficult to detect in the security arena and to predict attacks. Property and quality analysis of data sources are required before selecting the deep learning algorithm to be used for intrusion detection. This is because it affects the detection method depending on the contamination of the data used for learning. Therefore, the characteristics of the data should be identified and the characteristics selected. In this paper, the characteristics of malware were analyzed using network data set and the effect of each feature on performance was analyzed when the deep learning model was applied. The traffic classification experiment was conducted on the comparison of characteristics according to network characteristics and 96.52% accuracy was classified based on the selected characteristics.

Epidemiology of violence in pediatric and adolescent nasal fracture compared with adult nasal fracture: An 8-year study

  • Yu, Hahyun;Jeon, Minseok;Kim, Youngjun;Choi, Youngwoong
    • Archives of Craniofacial Surgery
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    • v.20 no.4
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    • pp.228-232
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    • 2019
  • Background: The epidemiology of nasal fractures varies according to factors such as the era and area of the study, as well as the age of the patient. We compared the characteristics and causes of pediatric nasal fractures. Methods: A total of 2,321 patients with nasal fractures from 2010 to 2017 were examined. The patients were divided into age groups using the Korean school system of age classification. The causes of injury were divided into five groups: violence, fall or slip down, sports, road traffic accidents, and others. Fractures were classified using the Stranc and Robertson standard: vector of force and plane of fracture. Results: Violence was the most common cause of nasal fracture in patients older than 12 years. Violence was a significantly less frequent cause among patients younger than 12 years old than among adolescent and adult patients. Nasal fractures due to violence were not observed in patients younger than 10 years. Plane 2 and lateral force fractures were the most common; however, in patients younger than 12 years, frontal force fractures were significantly more frequent than were lateral force fractures. Conclusion: As children may simply be injured due to a fall or slip down, it is important for the parents and guardians to ensure their safety. As they become older, children should abstain from violence and be monitored. It is therefore very important to ensure that the environment is free of violence in order to prevent such injuries.

A Comparative Study on Internal Fixation Using Long Proximal Intramedullary Nail for the Treatment of Humeral Shaft Fracture according to Fracture Types

  • Choi, Chang-Hyuk;Jun, Chung-Mu;Kim, Jun-Young
    • Clinics in Shoulder and Elbow
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    • v.22 no.2
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    • pp.87-92
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    • 2019
  • Background: This study was conducted to compare the radiological and clinical outcomes of internal fixation using a Polarus humeral nail for treatment of a humeral shaft fracture according to fracture types. Methods: From 43 patients, 13 were excluded and 30 patients were included. The 30 patients were divided into 2 groups: 15 in group I (Orthopaedic Trauma Association/Arbeitsgemeinschaft $f{\ddot{u}}r$ Osteosynthesefragen classification type A and B) and 15 in group II (type C). The mean age was 63.1 years (range, 20-87 years), and mean follow-up period was 2.3 years (range, 1.0-6.1 years). The causes of injuries were as follows: 12, traffic accidents; 14, simple slips; 2, simple falls; 2, contusions after lower energy trauma. Radiological and clinical evaluations were performed. Results: Radiological union was confirmed by plain anteroposterior and lateral radiographs on average of 5.0 months in group I, and 8.4 months in group II, respectively. Differences between the two groups were statistically significant (p<0.01). The clinical union value was 1.6 in group I, and 2.0 months in group II, but these values did not differ significantly (p=0.441). The mean Korean shoulder scoring system scores were 89.7 and 90.6, which did not differ significantly (p=0.352). Conclusions: Intramedullary nailing using the Polarus humeral nail is considered to be a good treatment modality for all types of humeral shaft fractures. Additionally, the Polarus humeral nail can be an optimal choice for the treatment of complex type fractures such as segmental or comminuted humeral shaft fractures.

On the Needs of Vertical and Horizontal Transportation Machines for Freight Transportation Standard Containers to Derive Design Requirements Optimized for the Urban Railway Platform Environment

  • Lee, Sang Min;Park, Jae Min;Kim, Young Min;Kim, Joo Uk
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.112-120
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    • 2021
  • Recently, the number of consumers using digital online distribution platforms is increasing. This caused the rapid growth of the e-commerce market and increased delivery volume in urban areas. The logistics system, designed ar006Fund the city center to handle the delivery volume, operates a delivery system from the outskirts of the city to the urban area using cargo trucks. This maintains an ecosystem of high-cost and inefficient structures that increase social costs such as road traffic congestion and environmental problems. To solve this problem, research is being conducted worldwide to establish a high-efficiency urban joint logistics system using urban railway facilities and underground space infrastructure existing in existing cities. The joint logistics system begins with linking unmanned delivery automation services that link terminal delivery such as cargo classification and stacking, infrastructure construction that performs cargo transfer function by separating from passengers such as using cargo platform. To this end, it is necessary to apply the device to the vertical and horizontal transportation machine supporting the vertical transfer in the flat space of the joint logistics terminal, which is the base technology for transporting cargo using the transfer robot to the destination designated as a freight-only urban railway vehicle. Therefore, this paper aims to derive holistic viewpoints needs for design requirements for vertical and vertical transportation machines and freight transportation standard containers, which are underground railway logistics transport devices to be constructed by urban logistics ecosystem changes.

A Study on the Covert Channel Detection in the TCP/IP Header based on the Support Vector Machine (Support Vector Machine 기반 TCP/IP 헤더의 은닉채널 탐지에 관한 연구)

  • 손태식;서정우;서정택;문종섭;최홍민
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.1
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    • pp.35-45
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    • 2004
  • In explosively increasing internet environments, information security is one of the most important consideration. Nowadays, various security solutions are used as such problems countermeasure; IDS, Firewall and VPN. However, basically internet has much vulnerability of protocol itself. Specially, it is possible to establish a covert channel using TCP/IP header fields such as identification, sequence number, acknowledge number, timestamp and so on. In this Paper, we focus cm the covert channels using identification field of IP header and the sequence number field of TCP header. To detect such covert channels, we used Support Vector Machine which has excellent performance in pattern classification problems. Our experiments showed that proposed method could discern the abnormal cases(including covert channels) from normal TCP/IP traffic using Support Vector Machine.

An Analysis of Policy and Technology Status of Smart City for Revitalization of Smart City Industry (스마트도시 산업 활성화를 위한 스마트도시 정책 및 기술현황 분석에 관한 연구)

  • Kim, Dae Ill;Park, Sung Chan;Yeom, Chun Ho
    • Journal of Information Technology Services
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    • v.21 no.1
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    • pp.127-144
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    • 2022
  • Recently, Korea is promoting cooperation with various countries, centering on ASEAN countries, with the aim of exporting Korean smart cities for the globalization of smart cities. The purpose of this study is to select excellent smart city technologies through analysis of smart city technologies owned by domestic companies and company status, and to prepare a plan for revitalization of companies with smart city technologies. Through prior research, the implications were derived through research on the existing smart city. Next, established a smart city policy analysis and smart city technology classification criteria through Korea and Overseas smart city policy and Korea smart city technology status DB. And the big data of smart city technology possessed by Korea companies and a plan for selecting a smart city export technology was prepared through analysis by region and company. As a result, to activate the technology possessed by Korea companies and to export overseas, it seems to need financial support and tax incentives that secure a pathway to export specialized smart technologies of SMEs, along with citizen participation and institutional supplementation. The smart city technology fields with the highest utilization in Korea were traffic, green energy, e-government, crime prevention, and construction, and the service types were platform, IoT, AI, big data, and GIS/GPS. These technologies are expected to contribute to building a platform for overseas smart city technology exports.

Epidemiology and patterns of nasal bone fracture in elderly patients in comparison to other age groups: an 8-year single-center retrospective analysis

  • Jung, Seil;Yoon, Sihyun;Kim, Youngjun
    • Archives of Craniofacial Surgery
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    • v.23 no.5
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    • pp.205-210
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    • 2022
  • Background: Nasal bone fractures are the most common type of facial bone fracture, but are under-studied in adults above 65 years of age. Therefore, we investigated the epidemiology and patterns of nasal bone fractures among older adults in comparison to different age groups. Methods: This retrospective study included 2,321 nasal bone fracture patients who underwent surgery at our hospital from January 2010 to December 2017. The patients were classified by age as preschoolers, school-age children, young and middle-aged adults, and the elderly. We performed pairwise comparisons between elderly patients and each other age group in terms of sex, cause of injury, and fracture type. Results: The 2,321 nasal bone fracture patients included 76 elderly patients (50 men [65.8%] and 26 women [34.2%]). In these patients, the two most common injury causes were falling or slipping down (n= 39; 51.3%) and road traffic accidents (n= 19; 25.0%). According to the Stranc and Robertson classification, the most common force vector was lateral, and plane 2 fractures with lateral forces predominated. Conclusion: The elderly showed similar patterns of nasal bone fractures to those observed in young and middle-aged adults, but significant differences from preschoolers (in the injury vector and plane of fracture) and from school-age children (in the sex ratio and plane of fracture). However, elderly patients presented significantly different epidemiological characteristics compared to the other three groups. Therefore, it is necessary to improve the quality of life of the elderly and prepare for the upcoming super-aged society by taking steps to reduce the incidence and severity of fractures. Possible options for doing so include strengthening individual-level safety factors and expanding the social safety net for the elderly.

Lifetime Escalation and Clone Detection in Wireless Sensor Networks using Snowball Endurance Algorithm(SBEA)

  • Sathya, V.;Kannan, Dr. S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1224-1248
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    • 2022
  • In various sensor network applications, such as climate observation organizations, sensor nodes need to collect information from time to time and pass it on to the recipient of information through multiple bounces. According to field tests, this information corresponds to most of the energy use of the sensor hub. Decreasing the measurement of information transmission in sensor networks becomes an important issue.Compression sensing (CS) can reduce the amount of information delivered to the network and reduce traffic load. However, the total number of classification of information delivered using pure CS is still enormous. The hybrid technique for utilizing CS was proposed to diminish the quantity of transmissions in sensor networks.Further the energy productivity is a test task for the sensor nodes. However, in previous studies, a clustering approach using hybrid CS for a sensor network and an explanatory model was used to investigate the relationship between beam size and number of transmissions of hybrid CS technology. It uses efficient data integration techniques for large networks, but leads to clone attacks or attacks. Here, a new algorithm called SBEA (Snowball Endurance Algorithm) was proposed and tested with a bow. Thus, you can extend the battery life of your WSN by running effective copy detection. Often, multiple nodes, called observers, are selected to verify the reliability of the nodes within the network. Personal data from the source centre (e.g. personality and geographical data) is provided to the observer at the optional witness stage. The trust and reputation system is used to find the reliability of data aggregation across the cluster head and cluster nodes. It is also possible to obtain a mechanism to perform sleep and standby procedures to improve the life of the sensor node. The sniffers have been implemented to monitor the energy of the sensor nodes periodically in the sink. The proposed algorithm SBEA (Snowball Endurance Algorithm) is a combination of ERCD protocol and a combined mobility and routing algorithm that can identify the cluster head and adjacent cluster head nodes.This algorithm is used to yield the network life time and the performance of the sensor nodes can be increased.

A Study On The Classification Of Driver's Sleep State While Driving Through BCG Signal Optimization (BCG 신호 최적화를 통한 주행중 운전자 수면 상태 분류에 관한 연구)

  • Park, Jin Su;Jeong, Ji Seong;Yang, Chul Seung;Lee, Jeong Gi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.905-910
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    • 2022
  • Drowsy driving requires a lot of social attention because it increases the incidence of traffic accidents and leads to fatal accidents. The number of accidents caused by drowsy driving is increasing every year. Therefore, in order to solve this problem all over the world, research for measuring various biosignals is being conducted. Among them, this paper focuses on non-contact biosignal analysis. Various noises such as engine, tire, and body vibrations are generated in a running vehicle. To measure the driver's heart rate and respiration rate in a driving vehicle with a piezoelectric sensor, a sensor plate that can cushion vehicle vibrations was designed and noise generated from the vehicle was reduced. In addition, we developed a system for classifying whether the driver is sleeping or not by extracting the model using the CNN-LSTM ensemble learning technique based on the signal of the piezoelectric sensor. In order to learn the sleep state, the subject's biosignals were acquired every 30 seconds, and 797 pieces of data were comparatively analyzed.