• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.911-916
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• 2005

Noise map is a presentation of existing data or predicted noise situation in terms of noise indicator. However, it has shortcoming for assessing the number of people exposed, or the number of dwellings affected to any relevant limit values of noise level in certain areas. In this study, so called over-ride value noise mapping is proposed to make up for the shortcoming by using over-ride function of object-oriented programming and it is to show the guard of the area where it is satisfied the standard of option, or it is not satisfactory. Over-ride value noisemap data is combined with topography layer, population and house statistics, and GIS space statistical analysis. The over-ride value noise mapping can also he applied to make the road traffic noisemap, the railroad noisemap, the aircraft noisemap, and the industrial site noisemap This can express noise damage information more exactly.

• 한국경영과학회지
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• 제32권4호
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• pp.37-50
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• 2007

Dramatic development of information technology requires new type of sales strategy to enterprise S/W dealers. That is, one should thoroughly consider diversified types of enterprise S/W and more elaborated consumer needs to establish successful sales strategy. However, various factors that should be considered in establishing enterprise S/W sales strategy are different according to types of enterprise S/W and hard to be managed systematically which led to the current situation where they have not been discussed enough. Therefore, this study introduced the relationship between the factors that affect selection of enterprise S/W using the concept of cognitive map on various enterprise S/W sales cases. Through this process, this study grouped the cognitive maps of similar cases to introduce their characteristics and made this result to be practically useful to enterprise S/W sales strategy.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.93-97
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• 2002

In this paper, we propose personalized recommendation techniques based on multidimensional scaling (MDS) method for Business to Consumer Electronic Commerce. The multidimensional scaling method is traditionally used in marketing domain for analyzing customers' perceptional differences about brands and products. In this study, using purchase history data, customers in learning dataset are assigned to specific product categories, and after then using MDS a positioning map is generated to map product categories and alternative advertisements. The positioning map will be used to select personalized advertisement in real time situation. In this paper, we suggest the detail design of personalized recommendation method using MDS and compare with other approaches (random approach, collaborative filtering, and TOP3 approach)

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.171-172
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• 2019

본 논문에서는 위험 발생상황에서 모니터링 객체에 대한 웹 지도 탐색 개발을 위하여 동적인 방식을 고려한다. 객체의 이동에서 관리시스템의 위치 인식 메카니즘을 기반으로 위험상황에 대해 위치를 실시간적으로 인식할 수 있도록 한다.

• 한국조경학회지
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• 제44권6호
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• pp.73-83
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• 2016

본 연구는 도시생물다양성 지수(CBI) 중 생태네트워크(지표. 2)를 국내의 현실에 맞게 변형 적용한 연구로 도시생태 현황지도와 토지피복지도의 활용 가능성을 파악하고자 하였다. 계룡시 도시생태현황지도 생태네트워크를 산출한 결과는 13,713,703(33.8%)이었고, 토지피복지도로 산출한 결과는 17,686,966(37.9%)으로 토지피복지도의 결과치가 도시생태현황도 보다 높게 산출되었다. 고양시 도시생태현황지도 생태네트워크를 산출한 결과는 4,961,922(4.9%)이었고, 토지피복지도로 산출한 결과는 4,383,207(3.7%)로 토지피복지도의 결과치가 도시생태현황도 보다 낮게 산출되었다. 주요 연구결과로 생태네트워크 산출 시 군부대시설 유형은 도시생태현황지도에서는 특수지역, 토지피복지도에서는 시가화지역과 산림지역으로 구분되는 오류가 발견되었다. 또한 중분류 토지피복지도의 경우, 산림지역 주변은 토지이용이 세분되지 않았고, 개발지역이 산림녹지로 표현되는 오류가 발견되었다. 자연요소를 선정할 때에도 도시생태현황지도의 인공형하천, 인공연못, 인공초지 등의 유형은 제외가 필요하였고, 토지피복지도의 자연나지는 자연요소로 포함해서 산출할 필요가 있었다. 앞으로 전국 단위 생태네트워크는 토지피복지도를 활용하여 개략적으로 분석이 가능할 것으로 판단되었으며, 도시생태현황지도가 구축된 도시에서는 도시생태현황지도를 활용한 생태네트워크 산정이 더 정확한 현황 진단이 될 것으로 판단되었다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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• pp.825-834
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• 2008

The safety, serviceability, and design code of the infrastructures such as highway, railroad, bridges, etc. have been analyzed. It is identified that the safety and function of infrastructures in North Korea could have some problems compared with current design codes. After analyzing the results, the multi-step road map for integrating infrastructures in Korea Peninsula is proposed.

• Asian-Australasian Journal of Animal Sciences
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• 제32권3호
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• pp.421-429
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• 2019

Objective: In this study, the effects of vacuum (VP) and high-oxygen modified atmosphere ($80%\;O_2+20%\;CO_2$) packaging (HiOx-MAP) on physico-chemical and microbiological properties of minced water buffalo meat were investigated. Methods: After minced meat preparation, samples were packaged under VP and HiOx-MAP and stored at $2^{\circ}C{\pm}0.5^{\circ}C$ for 14 days. Samples taken on certain days were subjected to total aerobic mesophilic bacteria, total aerobic psychrotrophic bacteria, lactic acid bacteria, Pseudomonas, Enterobacteriaceae and yeast-mold counts as well as pH, color ($L^*$, $a^*$, and $b^*$) and thiobarbituric acid reactive substances (TBARS) analyses. Results: In minced water buffalo meat packaged under HiOx-MAP, TBARS value exceeded 1 mg malondialdehyde/kg on the 4th day of the storage. In VP samples, TBARS value remained close to initial TBARS value during storage. According to the findings, $a^*$ value was determined to be high in the HiOx-MAP samples within initial days of the storage. However, no significant changes in $a^*$ value were observed in VP samples during storage. In contrast, the mean value of $L^*$ was detected as higher in HiOx-MAP sample than VP samples. The count of psychrotrophic bacteria increased more than that of mesophilic bacteria during storage. The growth of Enterobacteriaceae and Pseudomonas was delayed in both the packaging methods. However, lactic acid bacteria exhibited more growth in VP samples compared to MAP samples. Conclusion: The lipid oxidation proceeded faster than expected in minced water buffalo meat packed with HiOx-MAP method. This situation adversely affected the $a^*$ value. On the other hand, similar microbiological results were obtained in both packing methods.

• 한국군사과학기술학회지
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• 제23권1호
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• pp.66-75
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• 2020

Enemy information has significant value when it comes to the process of military actions in battle field. Our Army now uses Battlefield Management Systems(BMSs) equipped in Ground Fighting Vehicles(GFVs) and we need to make research on what kind of role enemy information can play in such systems. Also, enemy information can be shared among GFVs and target information shall be extracted from it in view of KVMF scheme. Because KVMF becomes requisite standard in modern BMSs, we need to implement target information handling process in KVMF standard. In this article, we will focus on how target information and its sharing process can be managed efficiently without information conflicts. Also, situation map produced by it will be noted.

• 한국산업융합학회 논문집
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• 제25권6_1호
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• pp.927-939
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• 2022

This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based 'illegal dumping monitoring module' was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.728-741
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• 2015

Stereo vision has become an important technical issue in the field of 3D imaging, machine vision, robotics, image analysis, and so on. The depth map extraction from stereo video is a key technology of stereoscopic 3D video requiring stereo correspondence algorithms. This is the matching process of the similarity measure for each disparity value, followed by an aggregation and optimization step. Since it requires a lot of computational power, there are significant speed-performance advantages when exploiting parallel processing available on processors. In this situation, multi-core CPU may allow many parallel programming technologies to be realized in users computing devices. This paper proposes parallel implementations for calculating disparity map using a shared memory programming and exploiting the streaming SIMD extension technology. By doing so, we can take advantage both of the hardware and software features of multi-core processor. For the performance evaluation, we implemented a parallel SAD algorithm with OpenMP and SSE2. Their processing speeds are compared with non parallel version on stereoscopic streaming video. The experimental results show that both technologies have a significant effect on the performance and achieve great improvements on processing speed.