• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.95-105
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• 2019

The importance of environmental industry was recognized as a major issue for the environmental problems (climate change, exhaustion of fossil fuels) of the 21st century. Many country and korea as well are exerting an effort to make plans to develop the environmental industry, expand the domestic market, and make it a global industry. According to this trend, the gyeongbuk province has also designated the environmental industry as a strategic industry with high potential for development when recognizing new growth industries. Gyeongbuk province is faced with a number of unsolved tasks and has not quite grasped current situations of the environmental industry. Based on the policy tasks, the detailed plans for the environmental industry in the gyeongbuk province include: establishing a new organization which will be in charge of various works or strengthening the current organization to expend the supporting developing organization for the environmental industry and the efficiency guidelines.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.213-223
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• 2008

The efficient discovery of services from a large scale collection of services has become an important issue[7, 24]. We studied a syntactic method for Web service discovery, rather than a semantic method. We regarded a service discovery as a retrieval problem on the proprietary XML formats, which were service descriptions in a registry DB. We modeled services and queries as probabilistic values and devised similarity-based retrieval techniques. The benefits of our way are follows. First, our system supports ranked service retrieval by keyword search. Second, we considers both of UDDI data and WSDL definitions of services amid query evaluation time. Last, our technique can be easily implemented on the off-theshelf DBMS and also utilize good features of DBMS maintenance.

• Journal of Environmental Science International
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• v.24 no.6
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• pp.709-720
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• 2015

After analyzing the actual acquisition status of carbon labeling by year and by product for the past four years, as well as its certification in the construction-related sectors of greenhouse gas emission, this study attempted to present the problems and coping strategies upon issuing the carbon labeling certification in the landscape architecture. During the period of this analysis, the carbon labelings were acquired by 134 enterprises, 267 workplaces, and 735 products, while the percentage of acquisition was highest in the regular non-durable goods(49%), followed by energy-consuming durable goods(26%), regular production goods (19%), regular durable goods(3%), and service(3%). Furthermore, the acquisition certifications in construction sectors, were highest in the various pipes/panel(8 cases), followed by concrete(6 cases), gypsum board(4 cases), and landscape architecture materials(2 cases). The landscape architecture only had two cases in the acquisition certification for the first time in 2012, which accounted for 0.27% of the entire certification products, due to the uncertainty in the process, the lack of professionalism, and the lack of comprehension. However, the study conducted on the coping strategies for carbon labeling in the landscape architecture revealed the following: (1) regular reporting system management through the division of labor in the head office and factories, (2) the building of objective DB through the adoption of data management programs such as SAP, (3) continuous promotion and vitalization of the incentive system, (4) the adoption of mandatory or preferential application system in landscaping projects, management, and bidding, (5) enhancement of elasticity in deliberation of certification by recruiting experts in the landscape architecture sectors, and (6) provision of incentives for the cooperative firms acquiring the certification and support for their participation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.975-985
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• 2014

As financial transactions with a smartphone has become increasing, a myriad of security threats have emerged against smartphones. Among the many types of security threats, Smishing has evolved to be more sophisticated and diverse in design. Therefore, financial institutions have recommended that users doesn't install applications with setting of "Unknown sources" in the system settings menu and install application which detects Smishing. Unfortunately, these kind of methods come with their own limitations and they have not been very effective in handling Smishing. In this paper, we propose a systematic method to detect Smishing, in which the RIL(Radio Interface Layer) collects a text message received and then, checks if message databases stores text message in order to determine whether Smishing malware has been installed on the system. If found, a system call (also known as a hook) is used to block the outgoing text message generated by the malware. This scheme was found to be effective in preventing Smishing as found in our implementation.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.153-164
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• 2008

According to the economic growth, many highways are constructed for increasing need of better life style. Especially roads and roadside facilities are used for accident prevention and offering mobility for drivers. For these purpose, roads and roadside facilities should be well maintained and managed. Now, many roads and roadside facilities are constructed in many areas. Because of traditional surveying method requires much time and surveying efforts, we designed and developed mobile mapping system for highway maintenance and management purpose using multi sensors. We tested our mobile mapping system and data management process. Using developed database, road managers can easily check the information of facility conditions, positions, and attributes. We are expecting low cost and efficient road maintenance process by using our system.

• 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%.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.163-177
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• 2024

The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

• Journal of Chest Surgery
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• v.34 no.3
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• pp.212-223
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• 2001

배경: 이식폐의 보존 및 재관류 동안 cyclic adenosine monophosphate(cAMP)와 nitric oxide(NO)는 폐혈관 내 순환조절을 유지하는데 있어 중심적인 역할을 한다. 그러나 내치세포내의 cAMP와 NO 모두 허혈-재관류 과정 동안에 현저하게 감소한다. 이에 저자는 low potassium dextran(LPD) 폐조본액에 cAMP의 유사체인 dibutyry1 cAMP(db-cAMP)와 NO의 공여물질인 nitroglycerin(NTG)을 첨가하여 이들의 폐보존 효과를 알아보고, 이들은 첨가한 폐보존액 들의 효과를 비교하였다. 대상 및 방법: 토끼 폐장 분리관류 모형에 실험군은 각각 6마리씩 4개군으로 단순 LPD 페보존액만 사용한 경우(I군), LPD 용액에 NTG 만 참가한 경우(II군), cAMP 만 첨가한 겨우(III군) 그리고 두가지 모두를 첨가한 경우는 IV군으로 분류하였으며, 폐보존액이 주입된 심폐블록은 영상 1$0^{\circ}C$에서 24시간 동안 보관한 다음 100% 산소농도에서 기계호흡을 하면서 신선 정맥혈로 30분 동안 재관류를 시행하였다. 재관류폐의 평가를 위해 폐기능 및 폐부종 정도를 정량 측정하였으며, 유출로 혈액으로부터 tumor necrosis factor $\alpha$(TNF-$\alpha$)와 간접적인 NO의 총량을 알기 위해 nitrite/nitrate의 양을 측정하였다. 또한 재관류가 끝난 후 광학 및 전자현미경학적 소견을 관찰하였다. 결과: 모든 실험군 중 제 IV군 의 폐보존 능력이 가장 우수하였으나, 제 II, III, IV군 사이는 통RP적으로 유의한 차이가 없었다. 제 I군은 제 II, III, IV군들에 비해 유의하게 폐기능이 가장 나쁘고 폐부종 정도가 가장 심했다(p<0.05). 제 II군은 제 III군에 비해 더 좋은 폐기능을 보였고, 폐부종 정도가 덜 하였으나 통계적은 유의성은 없었다. TNF-$\alpha$ 는 제 IV 군이 Irns에 비해 유의하게 분비량이 적었다. (p<0.05). 총 NO의 양은 제 II군과 IV 군이 제 I 군과 III군보다 유의하게 높았으나(p<0.001), 제 II군과 IV군, 제 I군과 III군 사이 비교에서 유의한 차이는 없었다. 또한 제 I 군과 III군에서는 시간이 지남에 따라 유의하게 NO의 양이 점차 감소하였다. (p<0.05). 광학 및 전자현민경 소견상 폐포 및 폐혈관 구조가 제 II, III, IV 군이 I 군에 비해 더 잘 보존되어있었다. 결론: LPD 폐보존액에 db-cAMP 및 NTG의 첨가는 폐보존 효과가 모두 우수함을 확인하였고 이들의 폐보존 효과 차이는 거의 없음을 알수 있었다. 그렇지만 이들의 병합사용이 폐혈관 항상성을 더 잘 유지시킬 수 있고 허혈-재관류 손상을 줄여 폐보존 효과를 높일 수 있을 것이라고 기대된다.

• Environmental and Resource Economics Review
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• v.16 no.1
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• pp.65-98
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• 2007

Wetland provides various environmental services as well as marketable goods to human society. This paper presents a meta-analysis of the wetland valuation studies conducted in Korea during the past decade. Meta-analysis is a technique of summarizing research results from the separate but related studies using statistical methods. The objectives of the paper is to identify the main factors affecting the wetland values and to examine the applicability of meta-regression analysis for summarizing the information from valuation studies of natural ecosystem. The total of 64 observations from 24 studies are assembled, and we observe significant differences in wetland values depending on the characteristics of the studies. With the statistical significance, our results indicate that the method employed affects the wetland values while the wetland function evaluated affects little. In addition, we found that the size of wetland is negatively associated with the values, implying that wetland values exhibit the decreasing returns to scale. The evidences from our empirical analysis suggest that the meta-analysis has a potential as a tool to synthesize the research results from valuation studies and to provide useful information to policy makers. However, this study acknowledges that more effort should be dedicated toward the construction of DB on valuation studies as well as the research on the model improvement to enhance the validity and reliability of meta-analysis.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.5
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• pp.17-24
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• 2010

Recently the study of identifying bio-markers for disease diagnosis and prognosis has been actively performed. In particular, lots of attentions have been paid to the finding of pathway gene-sets differentially expressed in disease patients rather than the finding of individual gene markers. In this paper we propose a novel method to identify disease-related pathway gene-sets based on time-series microarray data. For this purpose, we firstly compute individual gene scores by the using maSigPro (microarray Significant Profiles) and then arrange all the genes in the decreasing order of the corresponding gene scores. The rank of each gene in the entire list is used to evaluate the statistical significance of candidate gene-sets with Wilcoxson rank sum test. For the generation of candidate gene-sets, MSigDB (Molecular Signatures Database) pathway information has been employed. The experiment was conducted with prostate cancer time-series microarray data and the results showed the usefulness of the proposed method by correctly identifying 6 out of 7 biological pathways already known as being actually related to prostate cancer.