• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.520-541
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• 2023

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

• 국제학술발표논문집
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• The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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• pp.80-88
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• 2017

Although hazard identification is one of the most important steps of safety management process, numerous hazards remain unidentified in the construction workplace due to the dynamic environment of the construction site and the lack of available resource for visual inspection. To this end, our previous study proposed the collective sensing approach for safety hazard identification and showed the feasibility of identifying hazards by capturing collective abnormalities in workers' walking patterns. However, workers generally performed different activities during the construction task in the workplace. Thereby, an additional process that can identify the worker's walking activity is necessary to utilize the proposed hazard identification approach in real world settings. In this context, this study investigated the feasibility of identifying walking activities during construction task using Wearable Inertial Measurement Units (WIMU) attached to the worker's ankle. This study simulated the indoor masonry work for data collection and investigated the classification performance with three different machine learning algorithms (i.e., Decision Tree, Neural Network, and Support Vector Machine). The analysis results showed the feasibility of identifying worker's activities including walking activity using an ankle-attached WIMU. Moreover, the finding of this study will help to enhance the performance of activity recognition and hazard identification in construction.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.176-180
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• 1998

We may gaze at some peculiar scenes of flocking of birds and fishes. This paper demonstrates that multiple agent mobile robots show complex behaviors from efficient and strategic rules. The simulated flock are realized by a distributed behavioral model and each mobile robot decides its own motion as an individual which moves constantly by sensing the dynamic environment.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.11-13
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• 2005

The Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) concluded that many collective observations gave a aspect of a global warming and other changes in the climate system. Future earth observation using satellite data should monitor global climate change, and should contribute to social benefits. Especially, human activities has given the big impacts to earth environment This is a very complex affair, and nature itself also impacts the clouds, namely the seasonal variations. JAXA (former NASDA) has the plan of the Global Change Observation Mission (GCOM) for monitoring of global environmental change. SGLI (Second Generation GLI) onboard GCOM-C (Climate) satellite, which is one of this mission, is an optical sensor from Near-UV to TIR. This sensor is the GLI follow-on sensor, which has the various new characteristics. Polarized/multi-directional channels and 250m resolution channels are the unique characteristics on this sensor. This sensor can be contributed to clarification of coastal change in sea surface. This paper shows the introduction of the unique aspects and characteristics of the next generation satellite sensor, SGLIIGCOM-C, and shows the preliminary research for this sensor.

• 대한원격탐사학회지
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• 제37권5_1호
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• pp.975-987
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• 2021

동남아시아 지역의 갯벌에 널리 서식하는 패류인 Meretrix lyrata의 집단폐사 현상의 원인과 해결책을 찾기 위한 일환으로 서식지 분포 확률도를 제작하였다. 서식지 분포 확률도는 GIS (Geographic Information System) 기법의 일종인 FR (Frequency Ratio) 기법을 활용하여 제작하였으며, 입력인자로는 Landsat 영상 기반의 DEM(Digital Elevation Model)과 경사도, WorldView-02 영상 기반의 조류로 밀도도 및 거리도, 표층퇴적상 분포도와 현장관측 자료를 활용하였다. 현장관측은 2014년 4월 베트남 Ben-tre 주의 Bihn Dai 지역의 갯벌에서 수행하였으며, 연구지역의 지형고도, 표층 저서생물상, 표층 퇴적상 자료를 수집하였다. 서식지 분포 확률도는 Mertrix lyrata 총 개체와 치패로 나누어 제작하였으며, 정확도는 각각 76.82%, 69.51%로 좋은 정확도를 보였다. 서식지 분포 확률도 분석 결과 Meretrix lyrata는 총 개체와 치패 모두의 경우에서 Sand가 우세한 지역에 서식하지만, 총 개체는 주로 고도가 -0.2~0.2 m 사이의 조간대 중-하부에 서식하며, 치패는 그보다 높은 0~0.3 m 사이의 지역에 서식하였다. 또한 총 개체의 서식지는 조류로로부터 영향을 받는 것으로 나타났지만, 치패는 조류로의 영향을 받지 않았다. 향후 국내 갯벌과의 비교 분석을 통해 서식지 분포 확률도의 정확도를 높이고, Meretrix lyrata를 비롯한 여러 대형저서동물의 서식환경에 대한 분석을 통해, 기후변화 등으로 인한 갯벌 생태의 변화에 대해 예측할 수 있을 것으로 기대된다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.164-164
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• 2017

High throughput transcriptome investigations of immunity in plants highlight the complexity of gene networks leading to incompatible interaction. To identify genes crucial to resistance against Xanthomonas oryzae pv oryzae, functional genetic analysis of selected differentially expressed genes from our microarray data set was carried out. A total of 13 overexpression vector constructs were made using 35S CaMV promoter which drive constitutive expression in rice. Most of the genes are developmentally expressed especially during maximum tillering stage and are commonly highly expressed in the leaves. When screened against Xoo strain K2, the transgenic plants displayed shorter lesion length compared with wild type Dongjin which indicates partial resistance. The levels of ROS continuously magnified after inoculation which indicates robust cellular sensing necessary to initiate cell death. Elevated transcripts levels of several defense-related genes at the downstream of defense signal network also corroborate the phenotype reaction of the transgenic plants. Moreover, expression assays revealed regulation of these genes by cross-communicating signal-transductions pathways mediated by salicylic and jasmonic acid. These collective findings revealed the key immune signaling conduits critical to mount full defense against Xoo.

• 전자공학회논문지S
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• 제36S권6호
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• pp.67-75
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• 1999

자율분산로봇시스템에서 협조행동을 위한 로봇의 센싱과 통신 기능은 필수적이다. 일반적으로 대역적 통신시스템에서 로봇의 대수가 증가하면 통신자원의 제한과 정보의 범람이 발생한다. 따라서 이 경우 지역적 통신방법이 유리하다. 본 논문에서는 지역적 통신에 의한 정보의 전파를 해석하고 최적의 통신반경을 찾기 위한 3가지 방법을 제시한다. 또한 로봇이 정보를 획득하고 소실할 경우 발생하는 군의 카오스 행동을 피하기 위한 조건을 찾는다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.855-862
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• 2022

Environmental stressors considerably influence the health and safety of humans and must thus be continuously monitored to enhance the urban environments and associated safety. Environmental stressors typically act as stimuli and lead to behavioral changes that can be easily identified. These behavioral responses can thus be used as indicators to clarify people's perceptions of environmental stressors. Therefore, in this study, a framework for assessing environmental stressors based on human behavioral responses was developed. A preliminary experiment was conducted to investigate the feasibility of the framework. Human behavioral and physiological data were collected using wearable sensors, and a survey was performed to determine the psychological responses. Humans were noted to consistently exhibit changes in the movement and speed in the presence of physical environmental stressors, as physiological and psychological responses. The results demonstrated the potential of using behavioral responses as indicators of the human perceptions toward environmental stressors. The proposed framework can be used for urban environment monitoring to enhance the quality and safety.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.126-126
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• 2014

Label-free biomolecular assay based localized surface plasmon resonance (LSPR) of noble metal nanoparticles enables simple and rapid detection with the use of simple equipment. Nanosized metal nanoparticles exhibit a strong absorption band when the incident light frequency is resonant with the collective oscillation of the electrons, which is known as the LSPR. Here we demonstrate localized surface plasmon resonance (LSPR) substrates such as plasmonic Au nanodisks fabricated by a nanoimprinting process and gold nanorod-immobilized surfaces and their applications to highly sensitive and/or label-free biosensing. To increase detection sensitivity various bioreceptors weree designed. A single chain variable fragment (scFv) was used as a receptor to bind C-reactive protein (CRP). The results of this effort showed that CRP in human serum could be quantitatively detected lower than 1 ng/ml. Aptamers, which were immobilized on gold nanorods, were used to detect mycotoxins. The specific binding of ochratoxin A (OTA) to the aptamer was monitored by the longitudinal wavelength shift of LSPR peak in the UV-Vis spectra resulting from the changes of local refractive index near the GNR surface induced by accumulation of OTA and G-quadruplex structure formation of the aptamer. According to our results, OTA could be quantitatively detected lower than 1 nM level. Additionally, aptamer-functionalized GNR substrate was quite robust and can be regenerated many times by rinsing at 70 OC to remove bound target. During seven times of washing steps, the developed OTA sensing system could be reusable. Moreover, the proposed biosensor exhibited selectivity over other mycotoxins with an excellent recovery for detection in grinded corn samples, suggesting that the proposed LSPR based aptasensor plays an important role in label-free detection of mycotoxins.

• 한국시뮬레이션학회논문지
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• 제18권4호
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• pp.49-58
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• 2009

로봇의 지능화에서 기존의 하향식 접근 방식은 단일 개체 지능화에 중점을 두어 왔으나 이러한 접근은 첫째, 센싱, 연산, 통신에 소모되는 비용과 시간이 크다는 것 그리고 둘째, 예측 불가능한 환경변화에 민감하게 대응하는데 어려움이 있다. 본 연구는 이러한 단점을 극복하는 상향식 접근 방식의 집단적 지능화를 위한 알고리즘과 이를 적용한 에이전트 모델을 제안하고 시뮬레이션을 통해 검증하였다. 본 연구에서 제안한 수정된 플로킹 알고리즘은 그래픽이나 게임에서 집단이동을 보이는 생명체를 모델링 하는데 주로 사용되어온 플로킹(Flocking, Craig Reynolds)의 개념을 단순화시킴으로써 기존 플로킹의 연산과정을 단순화하여 보다 많은 수의 집단 로봇에 적용하기 용이 하도록 수정한 알고리즘이다. 시뮬레이션을 통해 수정된 플로킹 알고리즘의 집단화 적용 가능성을 검증하였고, 이를 위한 보이드 에이전트를 모델링 하였다. 또한 실질적 검증을 위하여 실제 집단로봇에 대한 사례 연구를 진행하였다.