• Advances in concrete construction
• /
• v.13 no.5
• /
• pp.385-394
• /
• 2022

Recently, an increasing number of cutting-edged studies have shown that designing a smart active control for real-time implementation requires piles of hard-work criteria in the design process, including performance controllers to reduce the tracking errors and tolerance to external interference and measure system disturbed perturbations. This article proposes an effective artificial-intelligence method using these rigorous criteria, which can be translated into general control plants for the management of civil engineering installations. To facilitate the calculation, an efficient solution process based on linear matrix (LMI) inequality has been introduced to verify the relevance of the proposed method, and extensive simulators have been carried out for the numerical constructive model in the seismic stimulation of the active rigidity. Additionally, a fuzzy model of the neural network based system (NN) is developed using an interconnected method for LDI (linear differential) representation determined for arbitrary dynamics. This expression is constructed with a nonlinear sector which converts the nonlinear model into a multiple linear deformation of the linear model and a new state sufficient to guarantee the asymptomatic stability of the Lyapunov function of the linear matrix inequality. In the control design, we incorporated H Infinity optimized development algorithm and performance analysis stability. Finally, there is a numerical practical example with simulations to show the results. The implication results in the RMS response with as well as without tuned mass damper (TMD) of the benchmark building under the external excitation, the El-Centro Earthquake, in which it also showed the simulation using evolved bat algorithmic LMI fuzzy controllers in term of RMS in acceleration and displacement of the building.

• Journal of the Korea Convergence Society
• /
• v.11 no.10
• /
• pp.25-30
• /
• 2020

In this study, a test system which can test performance of curling pad was developed to support Korea curling team. The developed system consists of a water tank, a mechanical pad driving system that can perform sweeping movement using a curling pad on surface of ice made by the water tank, and temperature sensors monitoring ice and air temperatures. To control the temperature of ice and humidity/temperature of air around the ice, all system are installed in a chamber that can isolate the developed system from external environment. Eight kinds of curling pads were tested using the developed system. Test result showed that each curling pad revealed different rate of ice temperature increasing. The pad with the highest rate of ice temperature rising was found to be the same as the most preferred pad by the athletes. Therefore, it was confirmed that the method of measuring change of ice temperature by the sweeping performed in this study is an effective method to test the performance of the pad.

• Journal of the Institute of Convergence Signal Processing
• /
• v.22 no.4
• /
• pp.193-198
• /
• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

• Journal of the Optical Society of Korea
• /
• v.14 no.3
• /
• pp.235-239
• /
• 2010

In this study, we have fabricated two types of non-invasive fiber-optic respiration sensors that can measure respiratory signals during magnetic resonance (MR) image acquisition. One is a nasal-cavity attached sensor that can measure the temperature variation of air-flow using a thermochromic pigment. The other is an abdomen attached sensor that can measure the abdominal circumference change using a sensing part composed of polymethyl-methacrylate (PMMA) tubes, a mirror and a spring. We have measured modulated light guided to detectors in the MRI control room via optical fibers due to the respiratory movements of the patient in the MR room, and the respiratory signals of the fiber-optic respiration sensors are compared with those of the BIOPAC$^{(R)}$ system. We have verified that respiratory signals can be obtained without deteriorating the MR image. It is anticipated that the proposed fiber-optic respiration sensors would be highly suitable for respiratory monitoring during surgical procedures performed inside an MRI system.

• Journal of Platform Technology
• /
• v.8 no.4
• /
• pp.38-46
• /
• 2020

This study describes how to build a security control system using an open source big data solution so that private companies can build an overall security control infrastructure. In particular, the infrastructure was built using the Elastic Stack, one of the free open source big data analysis solutions, as a way to shorten the cost and development time when building a security control system. A comparative experiment was conducted. In addition, as a result of comparing and analyzing the functions, convenience, service and technical support of the two solution, it was found that the Elastic Stack has advantages in the security control of Big Data in terms of community and open solution. Using the Elastic Stack, security logs were collected, analyzed, and visualized step by step to create a dashboard, input large logs, and measure the search speed. Through this, we discovered the possibility of the Elastic Stack as a big data analysis solution that could replace Splunk.

• Journal of Platform Technology
• /
• v.6 no.3
• /
• pp.17-22
• /
• 2018

Smart home is a technology for monitoring and controlling all the information about a house by integrating various home applications like cooling, heating, lighting, kitchen and security systems into a network. Although home appliances have become more convenient to use due to the development of smart home technology, they are also more vulnerable to information security hazards. Unauthorized visitors may have access to any of home appliance to arbitrarily control it or acquire information. This causes serious privacy and security problems, which should be solved to further smart home technology. This present paper proposed a dynamic user access control system for privacy protection in smart homes. The proposed system defines the role of a user of smart home services by automatically identifying the status information of the user and dynamically controls the access range for the service. In this way, the privacy of a user can be protected and the inter-smart device service is effectively provided. Consequently, the proposed dynamic user access control for smart home will improve the security service for protecting privacy in smart home devices.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.541-550
• /
• 2024

The aim of this study is to find a way to improve the effectiveness of feedback that can contribute to the development of government work evaluation through comparison of systems between Korea and the United States. To this end, this study compared and analyzed the cases of Korea and the United States in relation to the feedback system of political affairs evaluation. In the case of the United States, it was confirmed that it was linked to a relatively high level of the learning dimension of the feedback system of achieving and improving policy goals, while in Korea, such linkage was segmented and controlled. In the case of Korea, it was confirmed that the government work evaluation system was in power, and its purpose was to improve policies and to control the evaluation target rather than learning for it. In the case of the United States, it is noteworthy that the autonomy of its own ministries is guaranteed as much as possible, the clarity and achievement of the goals presented by the ministries are prioritized, and the feedback also has a support and learning system as a regular system, not an ex post system. It is necessary to focus on policy improvement that can be linked to the achievement of policy goals in government work evaluation. It is also necessary to take a quarterly monitoring system, but to transform the ex post evaluation system into a learning and supportive system that can achieve policy goals, not control.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.1
• /
• pp.241-262
• /
• 2021

This paper reviewed the necessity of a information and communication technology (ICT)-based smart livestock system as a development strategy for the animal life industry in the future. It also predicted the trends of livestock and animal food until 2050, 30 years later. Worldwide, livestock raising and consumption of animal food are rapidly changing in response to population growth, aging, reduction of agriculture population, urbanization, and income growth. Climate change can change the environment and livestock's productivity and reproductive efficiencies. Livestock production can lead to increased greenhouse gas emissions, land degradation, water pollution, animal welfare, and human health problems. To solve these issues, there is a need for a preemptive future response strategy to respond to climate change, improve productivity, animal welfare, and nutritional quality of animal foods, and prevent animal diseases using ICT-based smart livestock system fused with the 4th industrial revolution in various aspects of the animal life industry. The animal life industry of the future needs to integrate automation to improve sustainability and production efficiency. In the digital age, intelligent precision animal feeding with IoT (internet of things) and big data, ICT-based smart livestock system can collect, process, and analyze data from various sources in the animal life industry. It is composed of a digital system that can precisely remote control environmental parameters inside and outside the animal husbandry. The ICT-based smart livestock system can also be used for monitoring animal behavior and welfare, and feeding management of livestock using sensing technology for remote control through the Internet and mobile phones. It can be helpful in the collection, storage, retrieval, and dissemination of a wide range of information that farmers need. It can provide new information services to farmers.

• Korean journal of food and cookery science
• /
• v.8 no.2
• /
• pp.137-145
• /
• 1992

A computer-assisted microbiological quality assurance program was developed based on HACCP data obtained from a 500 bed general hospital by assessing time and temperature conditions and microbiological qualities of six categories of menu items according to the process of food product flow. The purpose of the study was to develop a computer-assisted microbiological quality assurance program in order to simplify the assessment procedures and to provide a maximum assurance to foodservice personnel and the public. A 16-Bit personnel computer compatible with IBM-PC/AT was used. The data base files and processing programs were created using dBASE III plus packages. The contents of the computerized system are summarized as knows: 1. When the input program for hazard analysis runs, a series of questions are asked to determine hazards and assess their severity and risks. Critical control points and monitoring methods for CCPs are identified and saved in Master file. 2. Output and search programs for hazard analysis are composed of 6 categories of recipe data file list, code identification list, and HACCP identification of the specific menu item. 3. When the user selects a specific category of recipe from 6 categories presented on the screen and runs data file list, a series of menu item list, CCP list, monitoring methods list are generated. When the code search program runs, menu names, ingredients, amounts and a series of codes are generated. 4. When the user types in a menu item and an identification code, critical control points and monitoring methods are generated for each menu item.

• Smart Media Journal
• /
• v.12 no.7
• /
• pp.27-42
• /
• 2023

The development of cloud services and IoT technology has radically changed the cloud environment, and has evolved into a new concept called fog computing and F2C (fog-to-cloud). However, as heterogeneous cloud/fog layers are integrated, problems of access control and security management for end users and edge devices may occur. In this paper, an F2C-based IoT smart health monitoring system architecture was designed to operate a medical information service that can quickly respond to medical emergencies. In addition, a role-based service access control technology was proposed to enhance the security of user's personal health information and sensor information during service interoperability. Through simulation, it was shown that role-based access control is achieved by sharing role registration and user role token issuance information through blockchain. End users can receive services from the device with the fastest response time, and by performing service access control according to roles, direct access to data can be minimized and security for personal information can be enhanced.