• Title/Summary/Keyword: communication patterns

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A Pilot Study on Installation Criteria of Speed Change Lanes according to the Implementation of Safety Speed "5030" in the Urban Area (도심내 안전속도 "5030"시행에 따른 변속차로 설치기준에 관한 기초연구)

  • Oh, Seok-Jin;Ha, Tae-Jun;Jin, Tae-Hee;Shin, Kwang-Min;Lee, Gang-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.1
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    • pp.57-64
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    • 2021
  • The speed change lane is installed at the point where the roads are connected on the urban roads, reducing the relative speed to facilitate traffic communication. However, in the case of the speed limit of 30 km/h in accordance with the implementation of the safe speed "5030" in the city, the standard is ambiguous, and there are criticisms about the installation of the transmission lane. This study conducted a pilot study on the traffic patterns of the speed change lanes, focusing on the section where the safe speed "5030" policy was scheduled to be implemented after theoretical consideration of the speed change lanes. After on-site investigation, as a result of analyzing the traffic pattern according to the travel speed of the main road according to road conditions and traffic conditions, the effectiveness of the speed change lane according to the safety speed "5030" was analyzed. In this study, the installation criteria for speed change lane by speed were presented. The criteria is that "speed change lanes should not be installed when the speed limit is 30 km/h, and speed change lanes should be installed when the speed limit is 50 km/h." The criteria will be considered as a reference when establishing engineering standards for connection of other facilities in urban areas in the future. It is expected that unnecessary restrictions on individuals' exercise of private property rights will be minimized, smooth traffic flow and secure safety by the installation of speed change lanes and expansion of turning radius.

A Study on Supporting Design Decision Making in Office Building Remodeling Projects by Introducing Mixed Reality (혼합현실 도입 오피스 건물 리모델링 프로젝트 설계 의사결정 지원)

  • Han, Mooyeul;Baek, Kwanyup;Lee, Kyung-Tae;Ko, Seonju;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.1
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    • pp.3-12
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    • 2021
  • In the remodeling projects, clients without architectural expertise have limitations in presenting requirements accurately. In some cases, designers and contractors may not recognize their demands exactly, and deliver final products that are different from the clients' intentions. 3D modeling visualizing final products in previous has been regarded as a solution to enhance understanding and communication. However, this approach has the limitation that the final results are presented as a virtual outputs. In the remodeling project, an alternative, mixed-reality, is likely to reinforce the reality as it enables to present remain structure and the parts to be built together. This paper examines the mixed reality as a solution to support decision making of clients and practitioners in remodeling projects. The examinations is conducted in high-rise office remodeling projects by means of action-research. Clients and practitioners, overview product models presented in the format of 2D drawings, BIM and mixed reality asked to evaluate the effectiveness of each methods in 12 standards. The results have shown that mixed reality has improved the sense of reality, making it easier to predict results, but recognizing patterns is difficult in some areas such as the floor, and it caused dizziness.

Big Data Utilization and Policy Suggestions in Public Records Management (공공기록관리분야의 빅데이터 활용 방법과 시사점 제안)

  • Hong, Deokyong
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.1-18
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    • 2021
  • Today, record management has become more important in management as records generated from administrative work and data production have increased significantly, and the development of information and communication technology, the working environment, and the size and various functions of the government have expanded. It is explained as an example in connection with the concept of public records with the characteristics of big data and big data characteristics. Social, Technological, Economical, Environmental and Political (STEEP) analysis was conducted to examine such areas according to the big data generation environment. The appropriateness and necessity of applying big data technology in the field of public record management were identified, and the top priority applicable framework for public record management work was schematized, and business implications were presented. First, a new organization, additional research, and attempts are needed to apply big data analysis technology to public record management procedures and standards and to record management experts. Second, it is necessary to train record management specialists with "big data analysis qualifications" related to integrated thinking so that unstructured and hidden patterns can be found in a large amount of data. Third, after self-learning by combining big data technology and artificial intelligence in the field of public records, the context should be analyzed, and the social phenomena and environment of public institutions should be analyzed and predicted.

New Approaches to Quality Monitoring of Higher Education in the Process of Distance Learning

  • Oseredchuk, Olga;Drachuk, Ihor;Teslenko, Valentyn;Ushnevych, Solomiia;Dushechkina, Nataliia;Kubitskyi, Serhii;Сhychuk, Antonina
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.35-42
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    • 2022
  • The article identifies the problem of monitoring the quality of higher education in three main areas, which are comparative pedagogical systems of education. The first direction is determined by dissertation works, the second - monographs and textbooks, and the third reveals scientific periodicals. According to its internal structure, monitoring the quality of education combines important management components identified in the article (analysis, evaluation and forecasting of processes in education; a set of methods for tracking processes in education; collecting and processing information to prepare recommendations for research processes and make necessary adjustments). Depending on the objectives, three areas of monitoring are identified: informational (involves the accumulation, structuring and dissemination of information), basic (aimed at identifying new problems and threats before they are realized at the management level), problematic (clarification of patterns, processes, hazards, those problems that are known and significant from the point of view of management). According to its internal structure, monitoring the quality of education combines the following important management components: analysis, evaluation and forecasting of processes in education; a set of techniques for tracking processes in education; collection and processing of information in order to prepare recommendations for the development of the studied processes and make the necessary adjustments. One of the priorities of the higher education modernization program during the COVID-19 pandemic is distance learning, which is possible due to the existence of information and educational technologies and communication systems, especially for effective education and its monitoring in higher education. The conditions under which the effectiveness of pedagogical support of monitoring activities in the process of distance learning is achieved are highlighted. According to the results of the survey, the problems faced by higher education seekers are revealed. A survey of students was conducted, which had a certain level of subjectivity in personal assessments, but the sample was quite representative.

Blocking Intelligent Dos Attack with SDN (SDN과 허니팟 기반 동적 파라미터 조절을 통한 지능적 서비스 거부 공격 차단)

  • Yun, Junhyeok;Mun, Sungsik;Kim, Mihui
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.1
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    • pp.23-34
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    • 2022
  • With the development of network technology, the application area has also been diversified, and protocols for various purposes have been developed and the amount of traffic has exploded. Therefore, it is difficult for the network administrator to meet the stability and security standards of the network with the existing traditional switching and routing methods. Software Defined Networking (SDN) is a new networking paradigm proposed to solve this problem. SDN enables efficient network management by programming network operations. This has the advantage that network administrators can flexibly respond to various types of attacks. In this paper, we design a threat level management module, an attack detection module, a packet statistics module, and a flow rule generator that collects attack information through the controller and switch, which are components of SDN, and detects attacks based on these attributes of SDN. It proposes a method to block denial of service attacks (DoS) of advanced attackers by programming and applying honeypot. In the proposed system, the attack packet can be quickly delivered to the honeypot according to the modifiable flow rule, and the honeypot that received the attack packets analyzed the intelligent attack pattern based on this. According to the analysis results, the attack detection module and the threat level management module are adjusted to respond to intelligent attacks. The performance and feasibility of the proposed system was shown by actually implementing the proposed system, performing intelligent attacks with various attack patterns and attack levels, and checking the attack detection rate compared to the existing system.

A Sanitizer for Detecting Vulnerable Code Patterns in uC/OS-II Operating System-based Firmware for Programmable Logic Controllers (PLC용 uC/OS-II 운영체제 기반 펌웨어에서 발생 가능한 취약점 패턴 탐지 새니타이저)

  • Han, Seungjae;Lee, Keonyong;You, Guenha;Cho, Seong-je
    • Journal of Software Assessment and Valuation
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    • v.16 no.1
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    • pp.65-79
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    • 2020
  • As Programmable Logic Controllers (PLCs), popular components in industrial control systems (ICS), are incorporated with the technologies such as micro-controllers, real-time operating systems, and communication capabilities. As the latest PLCs have been connected to the Internet, they are becoming a main target of cyber threats. This paper proposes two sanitizers that improve the security of uC/OS-II based firmware for a PLC. That is, we devise BU sanitizer for detecting out-of-bounds accesses to buffers and UaF sanitizer for fixing use-after-free bugs in the firmware. They can sanitize the binary firmware image generated in a desktop PC before downloading it to the PLC. The BU sanitizer can also detect the violation of control flow integrity using both call graph and symbols of functions in the firmware image. We have implemented the proposed two sanitizers as a prototype system on a PLC running uC/OS-II and demonstrated the effectiveness of them by performing experiments as well as comparing them with the existing sanitizers. These findings can be used to detect and mitigate unintended vulnerabilities during the firmware development phase.

Data-driven Persona Analysis for Understanding Web Novel Users: Focusing on Quantitative Behavioral Pattern Data (웹소설 사용자 이해를 위한 데이터 기반 페르소나 분석: 정량적 행동 패턴 데이터 중심으로)

  • Ha, Sangjip;Park, Do-Hyung
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.259-284
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    • 2022
  • In order to help the understanding of web novel users, this study was intended to quantitatively verify the user's behavioral types according to the characteristics of web novels. For this purpose, the direction of the study proceeded as follows. First, the motives of web novel users were investigated by referring to the motives of other digital content users. In addition, specific behavioral types of users were also collected. As a result, the motivation for using web novels was found to be 'interpersonal relationships and information acquisition with others', 'leisure activities', and 'escape from reality/relieve tension'. After that, the groups were classified as to whether there was a difference between groups according to the motives of use. As a result, the 'hobbies' type, a group with a particularly high motivation for using leisure activities, the 'stress relief' type, a group with very high escapism and tension relief characteristics, and a group with high interpersonal relationships and information acquisition with others The 'communication' type was classified as a 'multipurpose' type with high overall motivation characteristics. Then, in order to find out the specific characteristics between the types, personas were constructed based on the different behavior type data. Through this, the theoretical contribution of this study is meaningful in that it revealed the motives of web novel users. As a practical contribution, the persona was formed by combining the users' motives and behavioral patterns and visualized to be close to the actual representative users. These results are expected to help improve the web novel service by providing useful indicators for actual writers, platform managers, and users.

Cat Behavior Pattern Analysis and Disease Prediction System of Home CCTV Images using AI (AI를 이용한 홈CCTV 영상의 반려묘 행동 패턴 분석 및 질병 예측 시스템 연구)

  • Han, Su-yeon;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1266-1271
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    • 2022
  • Cats have strong wildness so they have a characteristic of hiding diseases well. The disease may have already worsened when the guardian finds out that the cat has a disease. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia, polyuria, and frequent urination more quickly. In this paper, 1) Efficient version of DeepLabCut for pose estimation, 2) YOLO v4 for object detection, 3) LSTM is used for behavior prediction, and 4) BoT-SORT is used for object tracking running on an artificial intelligence device. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the server system.

A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites (건설현장의 아차사고 연결가능성에 대한 패턴분석)

  • Sang Hyun Kim;Yeon Cheol Shin;Yu Mi Moon
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.216-230
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    • 2023
  • Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

Implementation of Acceleration Sensor-based Human activity and Fall Classification Algorithm (가속도 센서기반의 인체활동 및 낙상 분류를 위한 알고리즘 구현)

  • Hyun Park;Jun-Mo Park;Yeon-Chul, Ha
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.76-83
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    • 2022
  • With the recent development of IT technology, research and interest in various biosignal measuring devices is increasing. As an aging society is in full swing, research on the elderly population using IT-related technologies is continuously developing. This study is about the development of life pattern detection and fall detection algorithm, which is one of the medical service areas for the elderly, who are rapidly developing as they enter a super-aged society. This study consisted of a system using a 3-axis accelerometer and an electrocardiogram sensor, collected data, and then analyzed the data. It was confirmed that behavioral patterns could be classified from the actual research results. In order to evaluate the usefulness of the human activity monitoring system implemented in this study, experiments were performed under various conditions, such as changes in posture and walking speed, and signal magnitude range and signal vector magnitude parameters reflecting the acceleration of gravity of the human body and the degree of human activity. was extracted. And the possibility of discrimination according to the condition of the subject was examined by these parameter values.