• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1524-1531
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• 2020

The aim of this work is to develop a Geiger-Muller (GM) detector system for robot to look for a radioactive source in case of a nuclear emergency or in a high radiation environment. In order to find a radiation source easily, a detector system, including 3 detectors, was designed to search γ-ray radiation sources autonomously. First, based on GEANT4 simulation, radiation dose rates in 3 Geiger-Muller (GM) counters were simulated at different source-detector distances, distances between detectors and angles. Various sensitivity analyses were performed experimentally to verify the simulated designed detector system. A mono-energetic ¹³⁷Cs γ-ray source with energy 662 keV and activity of 1.11 GBq was used for the observation. The simulated results were compared with the experimental dose rate values and good agreements were obtained for various cases. Only based on the dose rates in three detectors, the radiation source with a specific source activity and angle was localized in the different location. A method was adopted with the measured dose rates and differences of distances to find the actual location of the lost γ-ray source. The corresponding angles of deviation and detection limits were calculated to determine the sensitivity and abilities of our designed detector system. The proposed system can be used to locate radiation sources in low and high radiation environments.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.1-15
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• 2010

The damage of safety accidents at home can be minimized by preventing accidents in advance as well as by coping with the accidents promptly through the help of safety management system. In this paper, we identify several services to prevent and cope with the accidents that may occur at home by leveraging sensors and wireless network technology available at home network environments. In order to provide these services, we propose a context-aware system for safety management at home. The proposed system awares the dangerous situations through the information collected by the sensors in home network environment. The proposed system tries to not only prevent the accidents but also to cope with the situations using the information of rescue targets and the location where the accident occurs. We evaluate the appropriateness of sensors by implementing the proposed environments. Through OPNET simulation experiments, we also measure the amount of network traffic in order to confirm that the bandwidth of IEEE 802.15.4 is enough for the proposed system. Finally, we determine more appropriate wireless data transmission mechanism with respect to the end-to-end delay and battery consumption for the proposed system.

• Convergence Security Journal
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• v.23 no.3
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• pp.3-11
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• 2023

Zero Trust, characterized by the principle of "Never Trust, Always Verify," represents a novel security paradigm. The proliferation of remote work and the widespread use of cloud services have led to the establishment of Work From Anywhere (WFA) environments, where access to corporate systems is possible from any location. In such environments, the boundaries between internal and external networks have become increasingly ambiguous, rendering traditional perimeter security models inadequate to address the complex and diverse nature of cyber threats and attacks. This research paper introduces the implementation principles of Zero Trust and focuses on the Micro Segmentation approach, highlighting its relevance in mitigating the limitations of perimeter security. By leveraging the risk management framework provided by the National Institute of Standards and Technology (NIST), this paper proposes a comprehensive procedure for the adoption of Zero Trust. The aim is to empower organizations to enhance their security strategies.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.4
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• pp.75-90
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• 2008

The golf course has many problems that are a pollution of river, a extinction of habitat by destructing a forest and a simplication of species composition. Therefore, this study was carried out to examine the ecological characteristics of vascular plants in construct-reserved site of golf course. The results were as follow. The vascular plants were summarized as 342 taxa; 86 families, 231 genera, 295 species, 42 varieties and 5 forma. In the results by the location environments of vegetation, Salix caprea community and wetland species like Persicaria thunbergii were appeared in the swamp. Especially, S. caprea will be made use of promoting a landscape. In the stream, Stephanandra incisa community has a functions like an ecological axis and a corridor of wild animals. The planting technique will be applied to using Atractylodes japonica and Ainsliaea acerifolia in the lower part of Pinus densiflora and Quercus mongolica. Because Rhododendron schlippenbachii and Convallaria keiskei grew by layer in Q. variabilis community, this will be made use of natural vegetation model. The rare plants were 2 taxa; Aristolochia contorta and Iris ensata var. spontanea. To preserve their community, we will prohibit a development and remove a threatening factor. The endemic plants were 4 taxa; Salix caprea, Clematis trichotma, Spiraea prunifolia for. simpliciflora and Weigela subsessilis. The naturalized plants were 19 taxa; Rumex crispus, Bildedykia dumetora and so on. To establish the quantitative management plan, we will obtain a ecological information about a naturalized plants in accumulating by season, community and land use pattern.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.15-20
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• 2020

In this paper, delay diffusion for exhibition hall and conference room was measured and analyzed in the indoor environment of the building. Scenarios for the indoor environment of the two buildings were written. also, the system configuration and measurement methods were conducted under the same conditions. The measurement conditions were set to 3 GHz and 6 GHz of center frequencies and analysis band selected 2 GHz. The measurement system consisted of vector network analyzer, power amplifier, omni-directional transmit and receive antenna, and transmission line. According to the indoor environment scenario of the two buildings, the location of the receiving antenna was divided into three zones based on the location of the transmitting antenna and this was measured at 1 m intervals according to 18 locations. The power delay profiles, RMS delay spread, and K-factor results of two buildings were compared and analyzed.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1145-1153
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• 2023

Urban trees play an important role in absorbing carbon dioxide from the atmosphere, improving air quality, mitigating the urban heat island effect, and providing ecosystem services. To effectively manage and conserve urban trees, accurate spatial information on their location, condition, species, and population is needed. In this study, we propose an algorithm that uses a high-resolution urban tree cover map constructed from deep learning approach to separate trees from the urban land surface and accurately detect tree locations through local maximum filtering. Instead of using a uniform filter size, we improved the tree detection performance by selecting the appropriate filter size according to the tree height in consideration of various urban growth environments. The research output, the location and height of individual trees in human settlement over Suwon, will serve as a basis for sustainable management of urban ecosystems and carbon reduction measures.

• Journal of the Ergonomics Society of Korea
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• v.35 no.5
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• pp.319-341
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• 2016

Objective:This research analyzed the lower-limb motion in kinetic and kinematic way while walking on various terrains to develop Foot-Ground Contact Detection (FGCD) algorithm using the Inertial Measurement Unit (IMU). Background: To estimate the location of human in GPS-denied environments, it is well known that the lower-limb kinematics based on IMU sensors, and pressure insoles are very useful. IMU is mainly used to solve the lower-limb kinematics, and pressure insole are mainly used to detect the foot-ground contacts in stance phase. However, the use of multiple sensors are not desirable in most cases. Therefore, only IMU based FGCD can be an efficient method. Method: Orientation and acceleration of lower-limb of 10 participants were measured using IMU while walking on flat ground, ascending and descending slope and stairs. And the inertial information showing significant changes at the Heel strike (HS), Full contact (FC), Heel off (HO) and Toe off (TO) was analyzed. Results: The results confirm that pitch angle, rate of pitch angle of foot and shank, and acceleration in x, z directions of the foot are useful in detecting the four different contacts in five different walking terrain. Conclusion: IMU based FGCD Algorithm considering all walking terrain possible in daily life was successfully developed based on all IMU output signals showing significant changes at the four steps of stance phase. Application: The information of the contact between foot and ground can be used for solving lower-limb kinematics to estimating an individual's location and walking speed.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.191-204
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• 2024

IOT has carried out important function in converting the traditional fitness care corporation. With developing call for in population, traditional healthcare structures have reached their outmost functionality in presenting sufficient and as plenty as mark offerings. The worldwide is handling devastating developing antique population disaster and the right want for assisted-dwelling environments is turning into inevitable for senior citizens. There furthermore a determination by means of the use of way of countrywide healthcare organizations to increase crucial manual for individualized, right blanketed care to prevent and manipulate excessive coronial situations. Many tech orientated packages related to Health Monitoring have been delivered these days as taking advantage of net boom everywhere on globe, manner to improvements in cellular and in IOT generation. Such as optimized indoor networks insurance, community shape, and fairly-low device fee performances, advanced tool reliability, low device energy consumption, and hundreds higher unusual common usual performance in network safety and privacy. Studies have highlighted fantastic advantages of integrating IOT with health care location and as era is improving the rate also cannot be that terrific of a problem. However, many challenges in this new paradigm shift notwithstanding the fact that exist, that need to be addressed. So the out most purpose of this research paper is 3 essential departments: First, evaluation of key elements that drove the adoption and boom of the Internet of factors based totally domestic some distance off monitoring; Second, present fashionable improvement of IOT in home a long manner off monitoring shape and key building gadgets; Third, communicate future very last effects and distinct guidelines of such type a long way off monitoring packages going ahead. Such Research is a wonderful manner in advance now not outstanding in IOT Terminology but in standard fitness care location.

• The Journal of the Acoustical Society of Korea
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• v.16 no.4
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• pp.49-56
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• 1997

In mobile communications, it is very important that we predict the propagation environments of radiation pattern, in order to decide the service area, select the best location of the best station, design the cell etc. Therefore, by analyzing the propagation prediction model that is varied according to the kind of antenna, the beam angle, the terrain and obstacles, we expect that the economic operating of communication networks, the calling quality and the service of subscriber will be enhanced. In this paper, we select the around of Seji base station in Naju-city Chonnam for modern suburban area and measure the field strength to propose the optimal propagation prediction model for suburban areas. We propose the propagation prediction model that, it is not found in the other models until now, consists of the correction coefficient with the relative differences of antenna effective height of the base station and mobile station for minimizing errors. Finally, comparing the results of the field test with the computer simulation(PPGIS : Propagation Prediction Geographic Information System) results for the Hata model, the Egri model, the Carey model and the propose model, we confirm the property of the proposed model.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.35-40
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• 2010

Skyline extraction in mountainous images which has been used for navigation of vehicles or micro unmanned air vehicles is very hard to implement because of the complexity of skyline shapes, occlusions by environments, dfficulties to detect precise edges and noises in an image. In spite of these difficulties, skyline extraction is avery important theme that can be applied to the various fields of unmanned vehicles applications. In this paper, we developed a robust skyline extraction algorithm using two-scale canny edge images, topological information and location of the skyline in an image. Two-scale canny edge images are composed of High Scale Canny edge image that satisfies good localization criterion and Low Scale Canny edge image that satisfies good detection criterion. By applying each image to the proper steps of the algorithm, we could obtain good performance to extract skyline in images under complex environments. The performance of the proposed algorithm is proved by experimental results using various images and compared with an existing method.