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      • KCI등재

        병원성 박테리아 검출용 헤테로다인 복조 기반 광섬유 바이오 센서

        이슬이(Seul-Lee Lee),고영종(Youngjong Ko),김장현(Jang Hyun Kim),강현욱(Hyun Wook Kang),이용욱(Yong Wook Lee) 한국조명·전기설비학회 2020 조명·전기설비학회논문지 Vol.34 No.11

        In this paper, we demonstrated an optical fiber biosensor based on heterodyne demodulation to detect five pathogenic bacteria species forming biofilms, such as Escherichia Coli, Vibrio Vulnificus, Pseudomonas Aeruginosa, Staphylococcus Aureus, and Streptococcus Iniae, with their fluorescence characteristics. The proposed sensor detects the fluorescence of the five bacteria species with the intrinsic fluorescence characteristics of amino acid tryptophan, whose excitation and emission wavelengths are 280 and 350 nm, respectively. The fabricated sensor consists of an UV light source for excitation of bacteria, a high sensitivity detector for detection of fluorescence signals emitted from the excited bacteria, and a lock-in amplifier for amplification of the detected fluorescence signals. The lock-in amplifier can remove various noise signals coupled with the desired fluorescence signals and amplify the magnitude of the desired signal through the heterodyne demodulation technique. This signal processing technique enables the detection of the weak picowatt (pW) fluorescence signals. Consequently, it is concluded that our sensor can successfully detect the intensity of the fluorescence signal emitted from five pathogenic bacteria species whose concentration lies within 10² to 10<SUP>7</SUP> CFU/ml.

      • KCI등재

        직교 입력 편광에 따른 위상 천이 장주기 격자의 pH 및 온도 응답에 관한 연구

        이슬이(Seul-Lee Lee),이용욱(Yong Wook Lee) 한국조명·전기설비학회 2021 조명·전기설비학회논문지 Vol.35 No.3

        In this paper, we demonstrated an optical fiber sensor based on a phase-shifted long-period fiber gratin g (PS-LPFG) that could realize simultaneous measurement of surrounding pH and temperature variations. The PS-LPFG composed of a grating-free fiber region (GFFR) in the middle of two identical LPFGs was fabricated on high-birefringence fiber (HBF) with CO₂ laser pulses. In addition, a π phase shift formed by setting the length of the GFFR as half of the grating period of an LPFG allows a transmission dip to split into two attenuation bands at two different resonance wavelengths. Since HBF can preserve a linear state of polarization (SOP) if the input SOP is aligned with one of its two principal axes (fast or slow axis), a PS-LPFG inscribed on HBF (HB-PS-LPFG) can create two different transmission spectra for two orthogonal input SOPs, i.e., linear horizontal polarization (LHP) and linear vertical polarization (LVP). To investigate pH and temperature responses of the fabricated HB-PS-LPFG, the dip wavelength separation bet ween two different attenuation bands was used as a sensor indicator for an LHP or LVP input SOP. Consequently, pH- and temperature-induced wavelength variations of the two sensor indicators showed linear and independent spectral responses to both pH and temperature variations in a pH range from 3 to 11 and a temperature range from 25 to 65 °C. With these unique pH or temperature responses of the two sensor indicators, the fabricated sensor could realize simultaneous measurement of pH and temperature.

      • KCI등재

        편광상이 고리 기반 광섬유 다파장 필터의 입력 편광으로 제어되는 채널 간격 스위칭에 대한 연구

        이슬이(Seul-Lee Lee),이용욱(Yong Wook Lee) 한국조명·전기설비학회 2020 조명·전기설비학회논문지 Vol.34 No.2

        In this paper, we propose an optical fiber multiwavelength filter based on a polarization-diversified loop (PDL), whose channel spacings (CSs) can be controlled by its input state of polarization (SOP). The PDL-based filter consists of a polarization beam splitter, three half-wave plates (HWPs), a Faraday rotator (FR), and two polarization-maintaining fiber (PMF) segments with equal birefringence and different lengths. At proper orientation angle sets (θ<SUB>h1</SUB>, θ<SUB>h2</SUB>, θ<SUB>h3</SUB>) of the three HWPs, the proposed filter can have its polarization-dependent transmittance, offering the CS-switchable operation realized by switching between two orthogonal input SOPs of linear horizontal polarization (LHP) and linear vertical polarization (LVP). In particular, at a fixed input SOP, a half-period wavelength switching operation, i.e., an interleaving operation, can also be implemented by controlling only one HWP angle (θ<SUB>h1</SUB> or θ<SUB>h3</SUB>). Theoretical prediction was verified by experiments. For orthogonal input SOPs of LHP and LVP, the fabricated PDL-based filter could provide transmission spectra with CSs of ∼0.9 and ∼0.3nm or vice versa at appropriate sets of (θ<SUB>h1</SUB><SUB></SUB>, θ<SUB>h2</SUB>, θ<SUB>h3</SUB>), respectively, and each of the transmission spectra could be interleaved by adjusting only θ<SUB>h1</SUB> or θ<SUB>h3</SUB>.

      • KCI등재

        한국어 연결어미 "-다가"의 교육 내용 연구-상적 의미 및 용언 결합 제약을 중심으로-

        이슬비 ( Seul Bi Lee ) 이중언어학회 2014 이중언어학 Vol.56 No.-

        This study aims to describe Korean connectives ‘-daga’ considering its aspectual meaning and verb constraint. Through searching ‘-daga’ in Korean modern novel corpus, we concluded that ‘-daga’s core meaning is ‘event transition’ and by its aspectual meaning, it has a verb constraint that only combines with verbs which event maintains some duration of time. Furthermore it founded somewhat preference of verbs that combines ‘-at/etdaga’ or ‘-daga’ by its event construction. To teach ‘-daga’, we suggest that focusing the core meaning, ‘transition of events’ and presenting that the transition occurs from continuous event or state to other event or state. Also, ‘-daga’s further meaning, ‘transition to an accidental result’ can be taught with a relation to this core meaning. For the verb constraint, we can present it implicitly by controlling input like example sentences.(Seoul National University)

      • KCI등재

        스트레스와 소화기능을 활용한 체질별 맞춤 수면관리

        이슬,채한,박지은,김국화,이정윤,Seul Lee,Han Chae,Jieun Park,Kukhwa Kim,Jeongyun Lee 사상체질의학회 2024 사상체질의학회지 Vol.36 No.1

        Objectives This study aimed to analyze the influence of various sleep-related factors that affect sleep quality by each Sasang type. Methods A total of 400 subjects were included for this study, 108 males and 292 females. Sasang type was diagnosed using the SCAT. Then, the characteristics of each Sasang type were analyzed using HRV, DITI, and PSQI, PSS, and SDFI questionnaires. Logistic regression analysis was used to predict sleep-related factors that affect sleep disorders by Sasang types. Results This study shows that the pathophysiological characteristics for stress and digestive function of each Sasang type can differentiate sleep management through a logistic regression model including subscales of PSS and SDFI. Stress had no effect on the occurrence of sleep disturbance within only So-Eum, since the stress level is originally high in the So-Eum regardless of sleep quality. Rather, decreased appetite and poor eating habits had a significant impact on the decline in sleep quality. In addition, poor digestion and eating habits in So-Yang had a greater impact and poor digestion in Tae-Eum had a greater impact on the decline in sleep quality. Conclusion The stress and subscales of digestive function provide differentiated sleep management in So-Yang, Tae-Eum, and So-Eum types. The individualized sleep management for each Sasang type with statistically validated PSS and SDFI would be useful for sleep-related experts planning safe and effective person-centered health care as well as for Western clinicians who want to incorporate Sasang typology into their treatments as integrative medical technique in the future.

      • KCI등재

        데이터 분석을 통한 UX 방법론 연구 고객 세그먼트 분류를 통한 페르소나 도출을 중심으로

        이슬이(Seul-Yi Lee),박도형(Do-Hyung Park) 한국지능정보시스템학회 2021 지능정보연구 Vol.27 No.1

        정보기술 산업이 발전됨에 따라 다양한 종류의 데이터가 생겨나고 있고 이를 가공하여 산업에 활용하는 것이 필수인 시대가 되었다. 온 오프라인 상에서 수집된 다양한 디지털 데이터를 분석하여 활용하는것은 산업 내의 고객에게 적합한 경험을 제공하기 위해서 꼭 필요한 과정이다. 새로운 비즈니스, 제품, 서비스를 창출하기 위해서는다방면에서 수집된 고객 데이터를 활용하여잠재고객의 니즈를 깊게 파악하고 행동패턴을 분석하여 숨겨진 욕망의 신호를 잡아내는것이 필수이다. 그러나 효과적인 서비스 개발을 위해서 병행해서 진행되어야 할 데이터 분석, UX 방법론을 활용한 연구는 각각 따로 진행되고 있고 산업 내의 활용 예시가 부족한 것이 사실이다. 본 연구에서는 데이터 분석 방법과 UX 방법론을 응용하여 하나의 프로세스를 제작하였다. 행복을 주제로 진행된 설문조사에서 추출된 고객 데이터를 활용하여 고객의 특성을 파악하기 위한 데이터 분석을 진행하였다. 요인, 회귀분석을 실시하여 행복 데이터 설문의 요인 간의 연관 관계를 확인하였다. 그 다음 연관 관계를 군집을 분류하고 가장 최적의 군집 수를 추출하여분류하였다. 이러한 결과를 바탕으로 교차분석을 진행하여 군집 별로 인구통계학적 특성을 확인하였다. 세그먼트를 분류하기 전 서비스 정의를 하기 위하여 뉴스 기사 및 SNS 문장들을 바탕으로 텍스트 마이닝을 통해 주요 키워드를 바탕으로 아이디어를 도출하였고 이중에 가장 타당한 서비스를 선택하였다. 이러한 결과를 바탕으로 세그먼트및 목표 고객을 선정한 후 세그먼트의 특성대로 대상자를 선정하여 인터뷰를진행하였다. 그 후 특성 및 프로파일정보를 활용하여 페르소나를 제작하여고객의 행동과 최종 목표를 서술하였다. 일반적인페르소나와 데이터를 활용한 페르소나를 비교하여 각각의 특성을 비교 분석하였다. 본 연구를 통해 도출된 프로세스는 다변화되는 서비스의 변화 상황에서 적절한 타겟 고객의 정의 및 정확한 분류 체계로 나뉘어진 고객군을파악 할 수 있는 방법을 제시 한 것에 의의가 있다. As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers" needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users" behavior variables to establish criteria and redefine users" classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to s

      • 로열티 프로그램이 소비자와 기업에 미치는 영향

        이슬비(Lee Seul Bee),이예원(Lee Ye Won),이호연(Lee Ho Yeon),한은비(Han Eun Bee),김민선(Min Sun Kim) 한국산학기술학회 2014 한국산학기술학회 학술대회 Vol.- No.-

        기업이 실시하고 있는 다양한 마케팅 방법 중의 효과적으로 알려진 로열티 프로그램에 대 한 정의와 실시된 배경과 그 과정 그리고 현재까지의 발전된 모습을 통해 소비자에게는 실 용적이고 쾌락적인 혜택을 준다는 것이 확인되었으며, 기업에게는 포화된 시장에서의 고객 과의 관계를 유지시키며 이 관계에서 더 나아가 새로운 고객을 확보하는데 영향을 주고 있 음을 알았다. 그러나 모방이 되기 쉽고 단기적인 영향을 끼치며 높아지는 소비자의 기대를 충족시키기에 문제가 있다는 점에서 장기적인 관점과 더불어 세분화된 시장에 전략적으로 접근하는 노력이 필요하며, 각 분야의 협력을 통해 구체적인 방안을 마련해야함을 조언한다.

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