• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.53-60
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• 2022

Recently, as the amount of data collected by drones has rapidly increased, it is necessary to support cloud computing technology that can securely and efficiently store and process data. However, various security threats such as stealing, leaking, or tampering with data communicated by drones can occur due to attackers. Therefore, there is a need for security technology to provide secure communication of data collected from drones. Among various security technologies, the KP-ABE scheme, which is attribute-based encryption, is a security technology that satisfies two characteristics: data encryption and user access control. This paper researched the KP-ABE scheme and proposed a secure data access control scheme to the drone environment. This proposed scheme provides confidentiality and integrity of data communicated in a drone environment and secure access control and availability. In addition, it provides a fast ciphertext search and constant size ciphertext among the requirements to be provided in the KP-ABE scheme.

• Journal of Preventive Medicine and Public Health
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• v.55 no.3
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• pp.253-262
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• 2022

We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.911-923
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• 2014

Ad hoc cognitive radio wireless sensor networks allow secondary wireless sensor nodes to recognize spectrum opportunities and transmit data. Most existing protocols proposed for ad hoc cognitive radio wireless sensor networks require a dedicated common control channel. Allocating one channel just for control packet exchange is a waste of resources for channel-constrained networks. There are very few protocols that do not rely on a common control channel and that exchange channel-negotiation control packets during a pre-allocated time on the data channels. This, however, can require a substantial amount of time to access the channel when an incumbent is present on the channel, where the nodes are intended to negotiate for the data channel. This study examined channel access delay on cognitive radio wireless sensor networks that have no dedicated common control channel.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2097-2100
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• 2003

Many studies have been done on secure operating system using secure kernel that has various access control policies for system security. Secure kernel can protect user or system data from unauthorized and/or illegal accesses by applying various access control policies like DAC(Discretionary Access Control), MAC(Mandatory Access Control), RBAC(Role Based Access Control), and so on. But, even if secure operating system is running under various access control policies, network traffic among these secure operating systems can be captured and exposed easily by network monitoring tools like packet sniffer if there is no protection policy for network traffic among secure operating systems. For this reason, protection for data within network traffic is as important as protection for data within local system. In this paper, we propose a secure operating system trusted channel, SOSTC, as a prototype of a simple secure network protocol that can protect network traffic among secure operating systems and can transfer security information of the subject. It is significant that SOSTC can be used to extend a security range of secure operating system to the network environment.

• The Korean Journal of Applied Statistics
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• v.19 no.1
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• pp.81-96
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• 2006

This paper proposes a simple control chart method which can be practically used for asymmetric process data where the distribution is unknown. If we use the Shewhart type control charts which are based on normality assumption for the asymmetric process data, the type I error could increase as the asymmetry increases and the effectiveness of control chart to control variation decreases. To solve such problems, this paper suggests to calculate the control limits based on the quartiles. If we obtain the control limits by such quartile method, the type I error could decrease and it looks much more practical for asymmetric distributed process data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.1-10
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• 2020

This paper is a IoT-based radon meter control system and a radon meter control method using it. The IoT-based radon meter control system is control system for controlling a radon meter by network-connecting radon meter and a user terminal. The radon measuring device may be provided with a radon sensor to measure a radon value of a preset management target area, it collect and store numerical data. The radon meter control system monitors the condition of the radon meter, it includes control center configured to deliver radon meter management information generated to a user terminal. Also radon measurements to determine the exact amount of radon gas. Therefore, the situation-specific actions based on radon numbers can be promptly implemented to ensure adequate protection for those who are vulnerable to radon and those who live in the area. Condition monitoring allows the radon meter to respond quickly to failure or failure of the radon meter. In addition, it is possible to secure a baseline of radon's influence and to obtain research data to cope with radon by establishing big data with radon measurements.

• Aerospace Engineering and Technology
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• v.5 no.2
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• pp.188-194
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• 2006

This paper deals with the development of Engineering Model for the TCU( Thruster Control Unit) and simulation system of the reaction control system using cold gas. TCU communicates with TLM(Telemetry) and ground control console so that it transmits monitoring data of pressures and temperatures for reaction control system. The cpu/communication board performs MIL-STD-1553B communication, RS-422 communication, data input/output processing and program loading to EEPROM. We applied Intel 80386DX Microprocessor, 256Kbytes EEPROM and 256Kbytes SRAM for program storage and execution. Also, we developed the direct access interface circuit to EEPROM and simulation system for TCU.

• Journal of the Korean Society of Safety
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• v.18 no.3
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• pp.154-160
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• 2003

Uncertain time delay happens when the process reads the sensor data and sends the control input to the plant located at a remote site in distributed control system. As in the case of data network using TCP/IP, VDN that integrates both device network and data network has uncertain time delay. Uncertain time delay can cause degradation in performance and stability of distributed control system based on VDN. This paper first investigates the transmission characteristic of VDN and suggests a control scheme based on the Smith's predictor to minimize the effect of uncertain varying time delay. The validity of the proposed control scheme is demonstrated with real-time velocity control of DC servo motor located in remote site.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.699-701
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• 2010

For the development of surveillance Multi Sensor and IFOG, development of integrated surveillance camera for day and night time of its system Control Unit design and navigation device interlocking system was made. Control Unit analysis of integrated ship system began with selection of control unit related to feasible navigation device list.After sorting navigation equipment list, applications, features, connection methods, communication methods, data type of control unit and data direction between navigation equipments and the data types of each navigation equipment is sorted to observe its performance.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.6
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• pp.577-582
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• 2002

Neural network can be trained to approximate an arbitrary nonlinear function of multivariate data like the mini-mill crown values in Automatic Shape Control. The trained weights of neural network can evaluate or generalize the process data outside the training vectors. Sometimes, the blind modeling of the process data is necessary to compare with the scattered analytical model of mini-mill process in isolated electro-mechanical forms. To come up with a viable model, we propose the blind neural-based range-division domain-clustering piecewise-linear modeling scheme. The basic ideas are: 1) dividing the range of target data, 2) clustering the corresponding input space vectors, 3)training the neural network with clustered prototypes to smooth out the convergence and 4) solving the resulting matrix equations with a pseudo-inverse to alleviate the ill-conditioning problem. The simulation results support the effectiveness of the proposed scheme and it opens a new way to the data analysis technique. By the comparison with the statistical regression, it is evident that the proposed scheme obtains better modeling error uniformity and reduces the magnitudes of errors considerably. Approximatly 10-fold better performance results.