• Asian Pacific Journal of Cancer Prevention
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• 제16권14호
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• pp.5669-5673
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• 2015

Background: Breast cancer is the most prevalent kind of cancer among women in Iran. Regarding the importance of cancer prevention and considerable variation of breast cancer incidence in different parts of the country, it is necessary to recognize regions with high incidence of breast cancer and evaluate the role of potential risk factors by use of advanced statistical models. The present study focussed on incidence of breast cancer in Iran at the province level and also explored the impact of some prominent covariates using Bayesian models. Materials and Methods: All patients diagnosed with breast cancer in Iran from 2005 to 2008 were included in the study. Smoking, fruit and vegetable intake, physical activity, obesity and the Human Development Index (HDI), measured at the province level, were considered as potential modulating factors. Gamma-Poisson, log normal and BYM models were used to estimate the relative risk of breast cancer in this ecological investigation with and without adjustment for the covariates. Results: The unadjusted BYM model had the best fit among applied models. Without adjustment, Isfahan, Yazd, and Tehran had the highest incidences and Sistan- Baluchestan and Chaharmahal-Bakhtiari had the lowest. With the adjusted model, Khorasan-Razavi, Lorestan and Hamedan had the highest and Ardebil and Kohgiluyeh-Boyerahmad the lowest incidences. A significantly direct association was found between breast cancer incidence and HDI. Conclusions: BYM model has better fit, because it contains parameters that allow including effects from neighbors. Since HDI is a significant variable, it is also recommended that HDI should be considered in future investigations. This study showed that Yazd, Isfahan and Tehran provinces feature the highest crude incidences of breast cancer.

• Journal of Radiation Protection and Research
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• 제42권4호
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• pp.205-211
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• 2017

Background: Radiation is used in a variety of areas, but it also poses potential risks. Although radiation is often used with great effectiveness in many applications, people perceive potential risks associated with radiation and feel anxious about the possibility of radiation exposure. Various methods of measuring radiation doses have been developed, but there is no way for the general public to measure their doses with ease. Currently, many people use smartphones, which provide information about the location of an individual phone through network connections. If a smartphone application could be developed for measuring radiation dosage, it would be a very effective way to measure individuals' radiation doses. Thus, we conducted a survey study to assess the social acceptance of such a technology by the general public and their intent to use that technology to measure radiation doses, as well as to investigate whether such an intention is correlated with anxiety and attitudes toward the use of radiation. Materials and Methods: A nationwide online survey was conducted among 355 Koreans who were 20 years old or older. Results and Discussion: Significant differences were found between the genders in attitudes, perceptions of radiation risk, and fears of exposure to radiation. However, a significant difference according to age was observed only in the intent to use a smartphone dose measurement application. Attitudes towards the use of radiation exerted a negative effect on radiation risk perception and exposure anxiety, whereas attitudes towards the use of radiation, risk perception, and anxiety about exposure were found to have a positive impact on the intent to use a smartphone application for dose measurements. Conclusion: A survey-based study was conducted to investigate how the general public perceives radiation and to examine the acceptability of a smartphone application as a personal dose monitoring device. If such an application is developed, it could be used not only to monitor an individual's dose, but also to contribute to radiation safety information infrastructure by mapping radiation in different areas, which could be utilized as a useful basis for radiation research.

• 인터넷정보학회논문지
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• 제16권5호
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• pp.93-98
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• 2015

최근 들어서 정보통신기술 자체뿐만 사물인터넷(IoT)을 활용한 비즈니스가 빠르게 확대되고 있다. 일반적으로 사물인터넷 중에서 웨어러블 디바이스는 고객을 대상으로 활용된 분야 중 가장 선도적인 적용분야로 인식되고 있다. 본 연구는 먼저 웨어러블 디바이스의 대표적 응용분야인 활동량 측정기에 대해서 고객의 니즈를 파악하고, 이를 잘 알려진 마케팅 믹스(제품, 가격, 유통, 촉진)와 연계시킨다. 이를 위해서 대학생들을 대상으로 서베이가 수행되었으며, 활동량 측정기의 현재 및 잠재된 니즈를 밝혔다. 또한 이러한 니즈는 마케팅 믹스에 의해서 분류되었다. 활동량 측정기는 다른 정보통신기기와는 달리 잠재된 욕구가 많았으며, 의료기기적 특성으로 인해 유통채널 등도 온라인, 대리점이 아닌 신뢰성을 보장할 직영점이나 오프라인 매장의 선호도가 크다. 본 연구결과는 일반 사물인터넷으로서 활동량 측정기뿐 아니라 웨어러블 디바이스를 개발하려는 개발자와 경영층에게 디자인요소에 관한 새로운 시사점을 제공할 것이다.

• Structural Monitoring and Maintenance
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• 제2권3호
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• pp.283-300
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• 2015

Visual condition inspections remain paramount to assessing the current deterioration status of a bridge and assigning remediation or maintenance tasks so as to ensure the ongoing serviceability of the structure. However, in recent years, there has been an increasing backlog of maintenance activities. Existing research reveals that this is attributable to the labour-intensive, subjective and disruptive nature of the current bridge inspection method. Current processes ultimately require lane closures, traffic guidance schemes and inspection equipment. This not only increases the whole-of-life costs of the bridge, but also increases the risk to the travelling public as issues affecting the structural integrity may go unaddressed. As a tool for bridge condition inspections, Unmanned Aerial Vehicles (UAVs) or, drones, offer considerable potential, allowing a bridge to be visually assessed without the need for inspectors to walk across the deck or utilise under-bridge inspection units. With current inspection processes placing additional strain on the existing bridge maintenance resources, the technology has the potential to significantly reduce the overall inspection costs and disruption caused to the travelling public. In addition to this, the use of automated aerial image capture enables engineers to better understand a situation through the 3D spatial context offered by UAV systems. However, the use of UAV for bridge inspection involves a number of critical issues to be resolved, including stability and accuracy of control, and safety to people. SLAM (Simultaneous Localisation and Mapping) is a technique that could be used by a UAV to build a map of the bridge underneath, while simultaneously determining its location on the constructed map. While there are considerable economic and risk-related benefits created through introducing entirely new ways of inspecting bridges and visualising information, there also remain hindrances to the wider deployment of UAVs. This study is to provide a context for use of UAVs for conducting visual bridge inspections, in addition to addressing the obstacles that are required to be overcome in order for the technology to be integrated into current practice.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.1020-1033
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• 2021

Nowadays, online or mobile social network services (SNS) are very popular and widely spread in our society and daily lives to instantly share, disseminate, and search information. In particular, SNS such as YouTube, Flickr, Facebook, and Amazon allow users to upload billions of images or videos and also provide a number of multimedia information to users. Information retrieval in multimedia-rich SNS is very useful but challenging task. Content-based media retrieval (CBMR) is the process of obtaining the relevant image or video objects for a given query from a collection of information sources. However, CBMR suffers from the dimensionality curse due to inherent high dimensionality features of media data. This paper investigates the effectiveness of the kernel trick in CBMR, specifically, the kernel principal component analysis (KPCA) for dimensionality reduction. KPCA is a nonlinear extension of linear principal component analysis (LPCA) to discovering nonlinear embeddings using the kernel trick. The fundamental idea of KPCA is mapping the input data into a highdimensional feature space through a nonlinear kernel function and then computing the principal components on that mapped space. This paper investigates the potential of KPCA in CBMR for feature extraction or dimensionality reduction. Using the Gaussian kernel in our experiments, we compute the principal components of an image dataset in the transformed space and then we use them as new feature dimensions for the image dataset. Moreover, KPCA can be applied to other many domains including CBMR, where LPCA has been used to extract features and where the nonlinear extension would be effective. Our results from extensive experiments demonstrate that the potential of KPCA is very encouraging compared with LPCA in CBMR.

• 한국건설순환자원학회논문집
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• 제9권4호
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• pp.499-505
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• 2021

이 연구의 목적은 거푸집 종류별로 콘크리트 표면의 물리/화학적 특성을 실험적으로 조사하는 것이다. 이를 위하여 건설공사에 일반적으로 사용되는 합판 거푸집과 코팅된 합판 거푸집을 준비하였고, 추가로 콘크리트 표면 열화나 거친 표면을 모사하기 위해 사포를 부착한 합판 거푸집을 준비하였다. 콘크리트는 일반 콘크리트를 사용하였다. 콘크리트 표면 특성은 육안관찰, 주사전자현미경 관찰, 성분 이미지 맵핑, 화학성분 분석, 2차원과 3차원 표면 형상 분석, 그리고 제타 전위 측정을 통해 조사하였다. 실험결과 코팅된 거푸집과 접한 콘크리트 표면이 가장 매끄럽고, 사포를 부착한 거푸집과 접한 콘크리트 표면이 가장 거친 것으로 나타났다. 이외에도 거푸집 종류별로 표면 특성에 뚜렷한 차이가 나타났다. 다만 표면 거칠기가 화학 성분이나 제타 전위에 비하여 차이가 크게 나타났다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2004년도 대한지구물리학회.한국지구물리탐사학회 공동학술대회 초록집
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• pp.3-17
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• 2004

Space-borne Earth observation technique is one of the most cost effective and rapidly advancing Earth science research tools today and the potential field and micro-wave radar applications have been leading the discipline. The traditional optical imaging systems including the well known Landsat, NOAA - AVHRR, SPOT, and IKONOS have steadily improved spatial imaging resolution but increasing cloud covers have the major deterrent. The new Earth observation satellites ENVISAT (launched on March 1 2002, specifically for Earth environment observation), ALOS (planned for launching in 2004 - 2005 period and ALOS stands for Advanced Land Observation Satellite), and RADARSAT-II (planned for launching in 2005) all have synthetic aperture radar (SAR) onboard, which all have partial or fully polarimetric imaging capabilities. These new types of polarimetric imaging radars with repeat orbit interferometric capabilities are opening up completely new possibilities in Earth system science research, in addition to the radar altimeter and scatterometer. The main advantage of a SAR system is the all weather imaging capability without Sun light and the newly developed interferometric capabilities, utilizing the phase information in SAR data further extends the observation capabilities of directional surface covers and neotectonic surface displacements. In addition, if one can utilize the newly available multiple frequency polarimetric information, the new generation of space-borne SAR systems is the future research tool for Earth observation and global environmental change monitoring. The potential field strength decreases as a function of the inverse square of the distance between the source and the observation point and geophysicists have traditionally been reluctant to make the potential field observation from any space-borne platforms. However, there have recently been a number of potential field missions such as ASTRID-2, Orsted, CHAMP, GRACE, GOCE. Of course these satellite sensors are most effective for low spatial resolution applications. For similar objects, AMPERE and NPOESS are being planned by the United States and France. The Earth science disciplines which utilize space-borne platforms most are the astronomy and atmospheric science. However in this talk we will focus our discussion on the solid Earth and physical oceanographic applications. The geodynamic applications actively being investigated from various space-borne platforms geological mapping, earthquake and volcano .elated tectonic deformation, generation of p.ecise digital elevation model (DEM), development of multi-temporal differential cross-track SAR interferometry, sea surface wind measurement, tidal flat geomorphology, sea surface wave dynamics, internal waves and high latitude cryogenics including sea ice problems.

• 자원환경지질
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• 제46권6호
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• pp.569-580
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• 2013

서태평양 해저산 사면에 부존하는 고코발트 망간각은 코발트, 니켈, 백금, 희유금속 등을 다량 함유하고 있으며, 최근 국제해저기구에서 공해상 탐사규칙이 제정됨에 따라 개발 대상으로 더욱 주목받고 있다. 해저산에 분포하는 망간각의 개발을 위해서는 경사가 낮고 지형기복이 완만하여 채광에 유리한 지형조건을 갖추면서 망간각이 두껍게 분포하는 유망지역을 선별하여야 한다. 따라서 광역단계의 망간각 탐사는 음향 수심탐사를 통한 지형 및 경사도의 확인, 음향산란 자료의 획득을 통한 기저면 표층 매질 분포 파악, 그리고 해저면 영상 관찰과 시료채취를 통한 망간각의 분포 두께 파악이 필요하다. 또한 음향산란 자료를 이용하여 망간각 분포 지역을 확인하기 위해서는 영상관찰 및 시료 채취를 통한 망간각 음향매질 특성분석이 필요하다. 기존의 탐사를 통해 수행된 망간각 기초탐사 자료를 분석한 결과 해저산 지형 해석과 망간각 광역분포와 같은 망간각 유망지역 선별을 위한 일부 자료를 확인할 수 있었다. 하지만, 음향산란 자료를 확보하지 못하여 넓은 탐사지역을 대상으로 망간각 부존 유망지역을 선별하는 데 필요한 망간각 분포 변화는 파악하지 못하였다. 따라서 향후 탐사는 망간각 탐사후보 지역을 대상으로 음향산란 자료의 확보가 선행되어야 하며, 해저면 관찰 및 시료채취를 병행하여 해저면 음향매질 특성과 망간각 분포의 상관성을 파악하기 위한 탐사가 수행되어야 한다.

• 한국강구조학회 논문집
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• 제12권5호통권48호
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• pp.605-615
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• 2000

CMAC을 이용하여 구조물의 지진응답을 예측하였다. CMAC은 매우 빠른 학습성능을 가지고 있는 것이 장점이며 구조물의 동적응답을 학습함에 있어서도 수 초 이내에 만족할 만한 정도로 학습을 끝낸다. 따라서 실시간 학습을 필요로 하는 분야에 매우 효과적으로 사용될 수 있다. 실시간 응답학습은 장기거동 등으로 역학적 특성이 변하거나 손상을 입은 구조물의 적응제어 등이 있다. 수치해석에서는 3층 전단건물의 지진응답을 CMAC을 통하여 학습하였으며 학습은 매우 빠르게 완수 되었다. 결론적으로 CMAC은 구조물의 진동제어 분야에서 매우 효과적으로 사용될 수 있는 인공지능의 하나이다.

• 신재생에너지
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• 제4권2호
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• pp.74-80
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• 2008

To improve the blue responses of screen-printed single crystalline silicon solar cells, we investigated an emitter etch-back technique to obtain high emitter sheet resistances, where the defective dead layer on the emitter surface was etched and became thinner as the etch-back time increased, resulting in the monotonous increase of short circuit current and open circuit voltage. We found that an optimal etch-back time should be determined to achieve the maximal performance enhancement because of fill factor decrease due to a series resistance increment mainly affected by contact and lateral resistance in this case. To elucidate the reason for the fill factor decrease, we studied the resistance analysis by potential mapping to determine the contact and the lateral series resistance. As a result, we found that the fill factor decrease was attributed to the relatively fast increase of contact resistance due to the dead layer thinning down with the lowest contact resistivity when the emitter was contacted with screen-printed silver electrode.