• Journal of Korean Society of Rural Planning
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• v.25 no.1
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• pp.21-38
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• 2019

Korean agricultural industry has weakened as demand for domestic agricultural products has declined due to accelerating market liberalization, aging and shrinking of rural population, and stagnating rural households' incomes. On the other hand, as the forth industrial revolution unfolds in earnest, tremendous changes are expected, and those changes won't be confined to certain industries but would shaken the world we know of entirely. Smart farm, which is one example of the fourth industrial revolution, is increasingly being recognized as a new growth engine for the future as smart farm and the science and technology behind it, not the size of arable land, will determine competitiveness of the agricultural industry and drive agricultural productivity and managerial efficiency. In consideration that John W. Kingdon's Multiple Streams Framework has recently been presented as an important theoretical model in the policy field, this study analyzed problem stream, policy stream, and political stream in the process of forming the smart farm policy, and looked into what role the government played as policy entrepreneur in policy window. The smart farm policy was put on policy agenda by the government and was approved when the government announced the Smart Farm Plan together with relevant ministries at the 5th Economy-Related Ministers' Meeting held in April 2018. This suggests that change of the government is the most critical factor in political stream, and explicitly indicates the importance of politics in formation of an agricultural policy. In addition, actual outcome of the policy and how policy alternatives that will enhance people's understanding will support it seem to be the key to success. It also shows that it is important that policy alternatives be determined based on sufficient discussion amongst stakeholders.

• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.30-39
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• 2021

Research in the field of health lighting has continued to advance to reproduce the color temperature of natural light which periodically changes. However, most of this research could only reproduce a uniform circadian color temperature of natural light, therefore failing to realize the characteristics of the circadian cycle of color temperature difference by latitude and longitude. To reproduce the color temperature of natural light on which the characteristics of a region are reflected, the collection technology of real-time characteristics of natural light is needed. If the color temperatures which are not within a periodical pattern due to climate changes, etc., are measured, it will be difficult to judge the occurrence (presence) of the anomalies and to reproduce the circadian cycle of the color temperature of natural light. Therefore, this study proposes an algorithm for judging the anomalies in real time based on the sliding window to reproduce the color temperature of natural light. First, the natural light characteristics DB collected through the on-site measurement were analyzed, the differential values at a one-minute interval were calculated and examined, and then representative color temperature circadian patterns by solar terms were drawn. The anomalies were then detected by the application of the sliding window that calculated the deviation of the color temperature for the measured color temperature data set, which was collected through RGB sensors, while moving along the time sequence. In addition, the presence of anomalies was verified through the comparison study between the detection results and the representative circadian cycle of the color temperature by solar term. The judgment method for the anomalies from the measured color temperature of natural light was proposed for the first time, confirming that the proposed method was capable of detecting the anomalies with an average accuracy of 94.6%.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.41-49
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• 2012

Wireless network support and extended mobile network environment with exponential growth of smart phone users allow us to utilize the network anytime or anywhere. Malicious attacks such as distributed DOS, internet worm, e-mail virus and so on through high-speed networks increase and the number of patterns is dramatically increasing accordingly by increasing network traffic due to this internet technology development. To detect the patterns in intrusion detection systems, an existing research proposed an efficient algorithm called the jumping window algorithm and analyzed approximately 2,000 patterns in Snort 2.1.0, the most famous intrusion detection system. using the algorithm. However, it is inappropriate from the number of TCAM lookups and TCAM memory efficiency to use the result proposed in the research in current environment (Snort 2.9.0) that has longer patterns and a lot of patterns because the jumping window algorithm is affected by the number of patterns and pattern length. In this paper, we simulate the number of TCAM lookups and the required TCAM size in the jumping window with approximately 8,100 patterns from Snort-2.9.0 rules, and then analyse the simulation result. While Snort 2.1.0 requires 16-byte window and 9Mb TCAM size to show the most effective performance as proposed in the previous research, in this paper we suggest 16-byte window and 4 18Mb-TCAMs which are cascaded in Snort 2.9.0 environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.504-505
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• 2017

센서와 왕복 모터를 이용한 스마트 창문 여닫이 로봇 팔은 온습도 센서를 이용하여 구성되는 시스템으로 일반 사용자에게 편리하고 안전한 메타포를 제공한다.

• Information and Communications Magazine
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• v.30 no.6
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• pp.20-25
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• 2013

본고에서는 1GHz 이하 주파수에서 동작하는 Wireless LAN(WLAN) 표준으로, IEEE 802.11ah PHY/MAC 표준 규격에 대해서 알아 본다. IEEE 802.11ah 표준은, Smart Grid, M2M, IoT 와 같이 실내, 실외에서 많은 수의 단말들을 최소한의 전력소모로 데이터 통신을 하기 위한 목적으로 개발되었다. WLAN의 서비스 범위가 1Km 이상으로 늘어나게 되면, 그 동안 WLAN 에서 심각하게 다루지 않았던 Hidden Node 문제가 단말의 전력 소모, throughput performance 을 결정하는 중요한 요소로 등장하게 된다. 특별히 IEEE 802.11ah 에서는, 많은 수의 단말들간에 Hidden Node 을 고려한 Restricted Access Window 라는 새로운 channel access 기법이 제안되었고, 이에 본 고에서는 IEEE 802.11ah 에 새롭게 지원되는 MAC 기능들에 대해 중점적으로 살펴 보도록 한다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.05a
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• pp.105-105
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• 2015

전기변색 (electrochromism) 박막은 전기화학적 산화, 환원 과정을 통해 가역적인 광학 특성의 변화를 갖는 현상을 말하며, 이를 이용한 전기변색 소자(electrochromic device)는 전력 소모가 적고 변색 효율이 크다는 장점으로 인해 Smart window, display, mirror 등에 응용 될 수 있다. 본 연구에서는 대표적인 전기 변색 물질인 WxOy, NixOy 전기 변색 재료의 Sputtering법으로 증착한 박막의 특성에 대하여 평가하였다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.11a
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• pp.299-300
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• 2015

$TiO_2$는 내구성이 뛰어난 전기변색재료로 연구가 이루어 지고 있다. 큰 굴절율로 인해 높은 투과율을 보이는 $TiO_2$는 변색시 치밀한 구조를 가지기 때문에 전해질 양이온의 침입이 힘들어 변색효율이 $WO_3$에 비해 좋지 않다. 이를 개선하고자 작업압력을 변화시켜 기판에 입사하는 입자의 에너지를 줄임으로써 확산을 줄이고 Porous한 막을 얻고자 하였다. 작업압력이 높아짐에 따라 표면의 거칠기가 커지는 것을 확인하였고 전기변색시 효율이 커지는 것을 확인하였다.

• Smart Media Journal
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• v.7 no.4
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• pp.79-89
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• 2018

In recent years, falls among elderly people have gained serious attention as a major cause of injuries. Falls often lead to fatal consequences due to lack of prompt response and rescue. Therefore, a more accurate fall detection system and an effective feature extraction technique are required to prevent and reduce the risk of such incidents. In this paper, we proposed an efficient feature extraction technique based on multiple sliding windows and validated it through a series of experiments using supervised learning algorithms. The experiments were conducted using the public datasets obtained from tri-axial accelerometers. The results depicted that extraction of the feature from adjacent sliding windows led to high accuracy in supervised machine learning-based fall detection. Also, the experiments conducted in this study suggested that the best accuracy can be achieved by keeping the window size as small as 2 seconds. With the kNN classifier and dataset from wearable sensors, the experiments achieved accuracy rates of 94%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.193-194
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• 2024

스마트홈과 연동하는 안전한 방범창은 외부의 침입자를 차단하고 주거 내의 물품 도난 및 개인의 신변을 보호하기 위한 안전설비로 다양한 형태의 방범창이 존재한다. 스마트홈은 건물 내의 센서가 화재를 감지하면 방범창 내부의 원격시스템이 자동으로 방범창을 매우 짧은 시간 안에 개방할 수 있도록 설계한다. 화재 등 재난시 상하부 방법창이 자동으로 개폐되도록 랙피니언을 이용하여 방범창의 위쪽 창틀을 상승시켜 창살이 움직일 수 있도록 개방하고 동시에 아래쪽 창틀이 회전하도록 구성하여 화재 및 폭우 등에 인명피해를 줄일 수 있도록 설계한다. 스마트홈 시스템과의 연계로 재난을 미리 감지하고 탈출구를 개방한다면 신속하고 안전한 대피가 가능하고, 기존의 프레임 부분 변경에 간단한 시스템만 변경하여 적용할 수 있어, 간단한 구조로 설치할 수 있고 낮은 비용으로 스마트홈을 구성할 수 있다. 특히 스마트홈과 연동하여 재난을 미리 감지하고 탈출구를 개방함으로써 신속하고 안전한 대피가 가능하여 다양한 재난을 대비할 수 있다.

• Advances in Energy Research
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• v.5 no.4
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• pp.321-339
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• 2017

Energy simulation tools can provide information on the amount of heat transfer through building envelope components, which are considered the main sources of heat loss in buildings. Therefore, it is important to improve the quality of outputs from energy simulation tools and also the process of obtaining them. In this paper, a new Building Energy Performance Assessment Tool (BEPAT) is introduced, which provides users with granular data related to heat transfer through every single wall, window, door, roof, and floor in a building and automatically saves all the related data in text files. This information can be used to identify the envelope components for thermal improvement through energy retrofit or during the design phase. The generated data can also be adopted in the design of energy smart homes, building design tools, and energy retrofit tools as a supplementary dataset. BEPAT is developed by modifying EnergyPlus source code as the energy simulation engine using C++, which only requires Input Data File (IDF) and weather file to perform the energy simulation and automatically provide detailed output. To validate the BEPAT results, a computer model is developed in Revit for use in BEPAT. Validating BEPAT's output with EnergyPlus "advanced output" shows a difference of less than 2% and thus establishing the capability of this tool to facilitate the provision of detailed output on the quantity of heat transfer through walls, fenestrations, roofs, and floors.