• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1167-1174
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• 2022

In this study, it was considered that not only the physical form should be electronically copied in virtual reality modeling for real problem solving, but also the interrelationship between the object and the user to be simulated. To this end, a plan was proposed to add user-space interaction elements that occur in real space to virtual reality application. This study is set in virtual reality modeling to solve safety problems in public toilets, and there should be a reasonable principle to add interaction elements with users to virtual reality modeling, and the basic environmental design strategy for crime prevention was used. As a result, it was shown that it was reasonable to derive interaction elements according to certain principles, such as the basic strategy for environmental design for crime prevention.

• The Journal of the Acoustical Society of Korea
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• v.42 no.5
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• pp.395-401
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• 2023

Sound Event Detection (SED) aims to identify not only sound category but also time interval for target sounds in an audio waveform. It is a critical technique in field of acoustic surveillance system and monitoring system. Recently, various models have introduced through Detection and Classification of Acoustic Scenes and Events (DCASE) Task 4. This paper explored how to design optimal parameters of DenseNet based model, which has led to outstanding performance in other recognition system. In experiment, DenseRNN as an SED model consists of DensNet-BC and bi-directional Gated Recurrent Units (GRU). This model is trained with Mean teacher model. With an event-based f-score, evaluation is performed depending on parameters, related to model architecture as well as model training, under the assessment protocol of DCASE task4. Experimental result shows that the performance goes up and has been saturated to near the best. Also, DenseRNN would be trained more effectively without dropout technique.

• Convergence Security Journal
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• v.22 no.4
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• pp.169-178
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• 2022

In general, organizations operating multi-domain networks find it difficult to represent and manage multiple domain net works on a single screen space. Instead, most of them are managed with multiple screens visualizing network topology by domain or partitioning one screen area into multiple domains. We propose an efficient method to visualize the topology using only minimal connection information between domain-agnostic nodes in this work. This method visualizes the topology by utilizing centrality indices representing the influence of nodes in the network. Furthermore, the method dynamically segments the entire node's display area using virtual Root nodes to auto-separate domains and weights of child nodes and placing nodes in 3D space. Thus, although it is a straightforward method, the multi-domain network topology can be visualized with only minimal connection information between nodes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4A
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• pp.605-609
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• 2006

In this study, two kinds of smart accelerometers are investigated for the application of smart sensors to the structural health monitoring of infrastructures. Smart optical Fiber Bragg Grating (FBG) type and Micro-Electo-Mechanical System (MEMS) type accelerometers are selected for this study and the high sensitive ICP type accelerometer is used for the reference sensor. Small size shaking table tests were performed with 3-story shear building model using random input ground motions. The output only modal identification was carried out using stochastic subspace identification and the performances of sensors are compared in modal domain indirectly. The modal sensitivity method was applied to update the story stiffness of numerical model and the updated results were verified using the additional experiments for the same structure with additional mass.

• The Journal of the Acoustical Society of Korea
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• v.29 no.7
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• pp.411-421
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• 2010

A time-reversal mirror (TRM) is useful in diverse areas, such as reverberation ing, target echo enhancement and underwater communication. In underwater communication, the bit error rate has been improved significantly due to the increased signal-to-noise ratio by spatio-temporal focusing. This paper deals with two issues. First, the optimal number of array elements for a given environment was investigated based on the exploitation of spatial diversity. Second, an algorithm was developed to determine the optimal location of the given number of array elements. The formulation is based on a genetic algorithm maximizing the contrast between the foci and area of interest as an objective function. In addition, the developed algorithm was applied to the matched field processing with ocean experimental data for verification. The sea-going data and simulation showed almost 3 dB improvement in the output power at the foci when the array elements were optimally distributed.

• Journal of the Korean Geographical Society
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• v.47 no.5
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• pp.677-699
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• 2012

Climate changes may cause substantial changes in spatial patterns and distribution of vector-borne diseases (VBD's), which will result in a significant threat to humans and emerge as an important public health problem that the international society needs to solve. As global warming becomes widespread and the Korean peninsula characterizes subtropical climate, the potentials of climate-driven disease outbreaks and spread rapidly increase with changes in land use, population distributions, and ecological environments. Vector-borne diseases are typically infected by insects such as mosquitoes and ticks, and infected hosts and vectors increased dramatically as the habitat ranges of the VBD agents have been expanded for the past 20 years. Medical geography integrates and processes a wide range of public health data and indicators at both local and regional levels, and ultimately helps researchers identify spatiotemporal mechanism of the diseases determining interactions and relationships between spatial and non-spatial data. Spatial epidemiology is a new and emerging area of medical geography integrating geospatial sciences, environmental sciences, and epidemiology to further uncover human health-environment relationships. An introduction of GIS-based disease monitoring system to the public health surveillance system is among the important future research agenda that medical geography can significantly contribute to. Particularly, real-time monitoring methods, early-warning systems, and spatial forecasting of VBD factors will be key research fields to understand the dynamics of VBD's.

• Korean journal of communication and information
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• v.81
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• pp.122-152
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• 2017

The media movement is a movement to separate from the political power and to dismantle the media power and to seek the control of citizens' media. Political power is the biggest factor that violates the fairness and independence of the media in the public domain. On the other hand, the factor that interferes with the healthy and responsible media of the press in the private sector is the media power originating from the owner. Citizens 'media campaign emphasizes citizens' mobility as a subject that monitors the political power and media power that have the sovereignty of the media belonging to the citizen and may infringe on this sovereignty.In the Lee Myung Bak - Park Geun Hye regime, the civil press movement was a period of resistance and struggle. Citizen media campaigns have completely collapsed with governance. As a result, the intellectuals who have expertise in the media have lost their place in the discussion and presentation of the policy alternatives in which the policy production is centered. The influence of citizen media organizations, which are centered on activists rather than citizen's direct action, is limited. In order to strengthen the power of the media reform, it is necessary to reconstruct social forces such as civil society, media unions, media organizations and political forces. We should also look for various ways in which citizens can participate actively in the agenda and activities of the movement. In addition, it is necessary to expand the movement of the media.

• Journal of Science and Technology Studies
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• v.14 no.1
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• pp.3-33
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• 2014

Over the last forty years, the dominant perspective of social science on medicine has been the medicalization theory. It indicates the social process of expanding power of medical professionals by (re)defining the problems which were treated as non-medical phenomena(e.g. homosexuality, alcoholism, obesity, etc.) into "diseases" and thus the spheres of medical intervention. Meanwhile, rapid technoscientific changes in the medical field owing to the diffusion of biological sciences and information technologies since the mid-1980s and the accompanying emergence of new social arrangements such as bioeconomy and biological citizenship have led to the rise of a new social scientific perspective called the biomedicalization theory. This paper attempts to compare the two theories and assess their merits and demerits as a basic work to deepen the understandings of sociology and STS on contemporary medicine. And it also attempts to analyze their relative relevance through the case of mental disorder. The analysis on the case of mental disorder clearly shows that the medicalization in that area seems to have continuously proceeded since the early 19th centiry to the present. Furthermore, it also seems true that the five central processes of biomedicalization(except for risk surveillance technologies of mental disorder) have been observed and realized since the late 20th century. These results indicate that although medicalization has consistently proceeded, it has not been limited to the quantitative expansion of the medical field but been extended to the qualitative transformation asserted by the biomedicalization theory. Therefore, while the concept of medicalization is valid and significant even today, we can recognize that the concept of biomedicalization allow us to capture the new phenomena which cannot be properly and sufficiently captured by that of medicalization.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.149-162
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• 2005

This paper suggest a way to detect a specific wanted figure in public places such as subway stations and banks by comparing color face images extracted from the real time CCTV with the face images of designated specific figures. Assuming that the characteristic of the surveillance camera allows the face information in screens to change arbitrarily and to contain information on numerous faces, the accurate detection of the face area was focused. To solve this problem, the normalization work using subsampling with $20{\times}20$ pixels on arbitrary face images, which is based on the Perceptron Neural Network model suggested by R. Rosenblatt, created the effect of recogning the whole face. The optimal linear filter and the histogram shaper technique were employed to minimize the outside interference such as lightings and light. The addition operation of the egg-shaped masks was added to the pre-treatment process to minimize unnecessary work. The images finished with the pre-treatment process were divided into three reception fields and the information on the specific location of eyes, nose, and mouths was determined through the neural network. Furthermore, the precision of results was improved by constructing the three single-set network system with different initial values in a row.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.1-10
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• 2019

This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.