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Endoscopic Primary Prophylaxis to Prevent Bleeding in Children with Esophageal Varices: A Systematic Review and Meta-Analysis

  • Fatima Safira Alatas;Ervin Monica;Lukito Ongko;Muzal Kadim
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제26권5호
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    • pp.231-238
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    • 2023
  • Purpose: This systematic review and meta-analysis aimed to compare endoscopy as primary versus secondary prophylaxis to prevent future bleeding in children with esophageal varices. Methods: A systematic literature search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method was conducted using the Scopus, PubMed, and Cochrane databases for relevant studies on the outcome of rebleeding events after endoscopy in primary prophylaxis compared to that in secondary prophylaxis. The following keywords were used: esophageal varices, children, endoscopy, primary prophylaxis and bleeding. The quality of eligible articles was assessed using the Newcastle-Ottawa Scale and statistically analyzed using RevMan 5.4 software. Results: A total of 174 children were included from four eligible articles. All four studies were considered of high-quality based on the Newcastle-Ottawa Quality Assessment Scale. Patients who received primary prophylaxis had 79% lower odds of bleeding than those who received secondary prophylaxis (odds ratio, 0.21; 95% confidence interval [CI], 0.07-0.66; I2=0%, p=0.008). Patients in the primary prophylaxis group underwent fewer endoscopic procedures to eradicate varices than those in the secondary prophylaxis group, with a mean difference of 1.73 (95% CI, 0.91-2.56; I2=62%, p<0.0001). Conclusion: Children with high-risk varices who underwent primary prophylaxis were less likely to experience future bleeding episodes and required fewer endoscopic procedures to eradicate the varices than children who underwent secondary prophylaxis.

텍스트 인식 기법에 기반한 화장품 성분 자동 분석 시스템 (An Automatic Cosmetic Ingredient Analysis System based on Text Recognition Techniques)

  • 김예원;홍선미;엄성용
    • 문화기술의 융합
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    • 제9권1호
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    • pp.565-570
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    • 2023
  • 임산부나 피부질환자 등 화장품 성분에 예민한 사람들이 있다. 또 화장품으로 인한 부작용을 경험하는 사람들이 있다. 이를 피하기 위해, 쇼핑 시에 일일이 화장품에 유해 성분이 있는지 검색하는 것은 번거롭다. 또한 본인에게 잘 맞는 기능성 성분을 알고 기억하는 것은 새로운 화장품을 구매할 때 도움이 된다. 사진 촬영을 통해 현장에서 즉시 화장품 성분을 알 수 있는 시스템이 필요하다. 본 논문은 화장품에 표기된 성분을 촬영해 즉각적으로 화장품 성분을 알 수 있는 스마트폰용 애플리케이션 <화안>을 소개한다. 본 시스템은 효과적인 텍스트 인식 기법을 적용하여, 카메라를 화장품 성분에 비추거나 앨범에서 화장품 성분 사진을 불러올 경우, 해당 화장품의 성분을 자동 인식 및 자동 분류하여 그 화장품의 성분을 현장에서 즉시 제공한다는 점에서 기존의 시스템에 비해 효과적이고 편리하다. 이 시스템이 널리 활용된다면, 일상생활 속 화장품으로 인한 피부 질환을 예방하고 본인에게 맞지 않는 화장품 구매를 줄일 수 있을 것으로 기대된다.

Radiation parameterizations and optical characterizations for glass shielding composed of SLS waste glass and lead-free materials

  • Thair Hussein Khazaalah;Iskandar Shahrim Mustafa ;M.I. Sayyed
    • Nuclear Engineering and Technology
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    • 제54권12호
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    • pp.4708-4714
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    • 2022
  • The novelty in the present search, the Soda-Lime-Silica (SLS) glass waste to prepare free lead glass shielding was used in order to limit the accumulation of glass waste, which requires extensive time to decompose. This also saves on the consumption of pure SiO2, which is a finite resource. Furthermore, the combining of BaO with Bi2O3 into a glass network leads to increased optical properties and improved attenuation. The UV-Visible Spectrophotometer was used to investigate the optical properties and the radiation shielding properties were reported for current glass samples utilizing the PhysX/PDS online software. The optical property results indicate that when BaO content increases in glass structure, the Urbach energy ΔE, and refractive index n increases while the energy optical band gap Eopt decreases. The result of the metallisation criteria (M) revealed that the present glass samples are nonmetallic (insulators). Furthermore, the radiation shielding parameter findings suggest that when BaO was increased in the glass structure, the linear attenuation coefficient and effective atomic number (Zeff) rose. But the half-value layer HVL declined as the BaO concentration grew. According to the research, the glass samples are non-toxic, transparent to visible light, and efficient radiation shielding materials. The Ba5 sample is considered the best among all the samples due to its higher attenuation value and lower HVL and MFP values, which make it a suitable candidate as transparent glass shield shielding.

관점지향 프로그래밍 및 리플렉션 기반의 동적 웹 서비스 조합 및 실행 기법 (A Dynamic Web Service Orchestration and Invocation Scheme based on Aspect-Oriented Programming and Reflection)

  • 임은천;심춘보
    • 한국컴퓨터정보학회논문지
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    • 제14권9호
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    • pp.1-10
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    • 2009
  • 웹 서비스 조합 분야는 단일 서비스를 재사용하여 가치 있는 서비스를 생성하기 위해 등장했으며, 최근에는 차세대 웹 서비스인 시멘틱 웹을 구현하기 위해 IOPE를 기반으로 단순 검색 및 조합 대신에 규칙이나 AI를 통한 검색 및 조합 방법이 제안되고 있다. 또한 보다 효율적인 모듈화를 위해 기존의 객체지향 프로그래밍 방식보다는 관점지향 프로그래밍 방식이 도입되고 있다. 본 논문에서는 시멘틱 웹을 위해 관점지향 프로그래밍(Aspect-Oriented Programming, AOP) 및 리플렉션(Reflection)을 적용한 동적 웹 서비스 조합 및 실행 기법을 설계한다. 제안하는 기법은 웹 서비스의 메타 데이터를 동적으로 획득하기 위해 리플렉션 기법을 사용하고 아울러 동적으로 웹 서비스를 조합하기 위해 AOP 기반 접근방식을 통해 바이트 코드를 생성한다. 또한 리플렉션을 이용한 동적 프록시 객체를 통해 조합된 웹 서비스를 실행하는 방식을 제안한다. 제안하는 기법의 성능 평가를 위해 비즈니스 로직 계층과 사용자 뷰 계층 측면에서 조합된 웹 서비스를 검색하는 것에 대한 실험을 수행한다.

최적의 Bluetooth GFSK 신호 수신을 위한 Viterbi 기반 저복잡도 FSM 설계 (Design of Low-Complexity FSM based on Viterbi for Optimum Bluetooth GFSK Signal Receiver)

  • 권택원;이규만
    • 디지털융복합연구
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    • 제20권1호
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    • pp.185-190
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    • 2022
  • Bluetooth는 다양한 소비자 전자 장치 간의 연결 매체로 널리 사용되는 공통 무선 기술이다. Bluetooth 수신기는 주로 신호 대 잡음비 성능 개선을 위해 일반적으로 Viterbi 알고리즘을 채택하지만 전송단에서의 irrational modulation index(무리수 변조 지수)로 수신단의 지속적인 탐색 및 추정이 필요하며 이를 위한 복잡한 하드웨어와 계산을 요구한다. 본 논문에서는 이러한 복잡도 문제를 해결하기 위해 비동기 최대 우도 추정(MLE, Maximum-likelihood Estimation) 기반 8-state Viterbi FSM을 제안한다. 본 논문에서 제안한 최적의 Viterbi FSM은 전송단에서의 변조 지수에 대한 사전 정보 및 추정이 필요 없으며 GFSK(Gaussian Frequency Shift Keying) 심볼 검출이 가능하다. 제안한 알고리즘에 대한 성능은 HV1/HV2 패킷을 사용하여 평가하였으며, 시뮬레이션 결과는 DD(Decision Direct)와 같은 이상적인 접근 방식과 비교하여 10-3 BER에서 약 2dB 성능 향상을 보여주었다.

A Heuristic Method of In-situ Drought Using Mass Media Information

  • Lee, Jiwan;Kim, Seong-Joon
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.168-168
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    • 2020
  • This study is to evaluate the drought-related bigdata characteristics published from South Korean by developing crawler. The 5 years (2013 ~ 2017) drought-related posted articles were collected from Korean internet search engine 'NAVER' which contains 13 main and 81 local daily newspapers. During the 5 years period, total 40,219 news articles including 'drought' word were found using crawler. To filter the homonyms liken drought to soccer goal drought in sports, money drought economics, and policy drought in politics often used in South Korea, the quality control was processed and 47.8 % articles were filtered. After, the 20,999 (52.2 %) drought news articles of this study were classified into four categories of water deficit (WD), water security and support (WSS), economic damage and impact (EDI), and environmental and sanitation impact (ESI) with 27, 15, 13, and 18 drought-related keywords in each category. The WD, WSS, EDI, and ESI occupied 41.4 %, 34.5 %, 14.8 %, and 9.3 % respectively. The drought articles were mostly posted in June 2015 and June 2017 with 22.7 % (15,097) and 15.9 % (10,619) respectively. The drought news articles were spatiotemporally compared with SPI (Standardized Precipitation Index) and RDI (Reservoir Drought Index) were calculated. They were classified into administration boundaries of 8 main cities and 9 provinces in South Korea because the drought response works based on local government unit. The space-time clustering between news articles (WD, WSS, EDI, and ESI) and indices (SPI and RDI) were tried how much they have correlation each other. The spatiotemporal clusters detection was applied using SaTScan software (Kulldorff, 2015). The retrospective and prospective cluster analyses were conducted for past and present time to understand how much they are intensive in clusters. The news articles of WD, WSS and EDI had strong clusters in provinces, and ESI in cities.

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텍스트마이닝을 활용한 패브릭 관련 DIY 의류 상품 현황 연구 (A study on the current status of DIY clothing products related to fabric using text mining)

  • 이은혜;이하은;최정욱
    • 한국의상디자인학회지
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    • 제25권2호
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    • pp.111-122
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    • 2023
  • This study aims to collect Big Data related to DIY clothing, analyze the results on a year-by-year basis, understand consumers' perceptions, the status, and reality of DIY clothing. The reference period for the evaluation of DIY clothing trends was set from 2012 to 2022. The data in this study was collected and analyzed using Textom, a Big Data solution program certified as a Good Software by the Telecommunications Technology Association (TTA). For the analysis of fabric-related DIY products, the keyword was set to "DIY clothing", and for data cleansing following collection, the "Espresso K" module was employed. Also, via data collection on a year-by-year basis, a total of 11 lists were generated and the collected data was analyzed by period. The following are the findings of this study's data collection on DIY clothing. The total number of keywords collected over a period of ten years on search engines "Naver" and "Google" between January 1, 2012 and December 31, 2022 was 16,315, and data trends by period indicate a continuous upward trend. In addition, a keyword analysis was conducted to analyze TF-IDF (Term Frequency-Inverse Document Frequency), a statistical measure that reflects the importance of a word within data, and the relationship with N-gram, an analysis of the correlation concerning the relationship between words. Using these results, it was possible to evaluate the popularity and growing tendency of DIY clothing products in conjunction with the evolving social environment, as well as the desire to explore DIY trends among consumers. Therefore, this study is valuable in that it provides preliminary data for DIY clothing research by analyzing the status and reality of DIY products, and furthermore, contributes to the development and production of DIY clothing.

맵리듀스 잡을 사용한 해시 ID 매핑 테이블 기반 대량 RDF 데이터 변환 방법 (Conversion of Large RDF Data using Hash-based ID Mapping Tables with MapReduce Jobs)

  • 김인아;이규철
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.236-239
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    • 2021
  • AI 기술의 성장과 함께 지식 그래프의 크기는 지속적으로 확장되고 있다. 지식 그래프는 주로 트리플이 연결된 RDF로 표현되며, 많은 RDF 저장소들이 RDF 데이터를 압축된 형태의 ID로 변환한다. 그러나 RDF 데이터의 크기가 특정 기준 이상으로 클 경우, 테이블 탐색으로 인한 높은 처리 시간과 메모리 오버헤드가 발생한다. 본 논문에서는 해시 ID 매핑 테이블 기반 RDF 변환을 분산 병렬 프레임워크인 맵리듀스에서 처리하는 방법을 제안한다. 제안한 방법은 RDF 데이터를 정수 기반 ID로 압축 변환하면서, 처리 시간을 단축하고 메모리 오버헤드를 개선한다. 본 논문의 실험 결과, 약 23GB의 LUBM 데이터에 제시한 방법을 적용했을 때, 크기는 약 3.8배 가량 줄어들었으며 약 106초의 변환 시간이 소모되었다.

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디지털 헬스 중재가 지역사회 중증정신질환자의 정신병적 증상에 미치는 효과: 체계적 문헌고찰 및 메타분석 (Effect of Digital Health Interventions on Psychotic Symptoms among Persons with Severe Mental Illness in Community: A Systematic Review and Meta-Analysis)

  • 오은진;강문희
    • 대한간호학회지
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    • 제53권1호
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    • pp.69-86
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    • 2023
  • Purpose: This study aimed to evaluate the effects of digital health interventions on the psychotic symptoms among people with severe mental illness in the community. Methods: A systematic review and meta-analysis were conducted in accordance with the Cochrane Intervention Research Systematic Review Manual and PRISMA. A literature search was conducted of published randomized controlled trials (RCTs) for digital health interventions from January 2022 to April 2022. RevMan software 5.3 was used for quality assessment and meta-analysis. Results: A total 14 studies out of 9,864 studies were included in the review, and 13 were included in meta-analysis. The overall effect size of digital health interventions on psychotic symptoms was - 0.21 (95% CI = - 0.32 to - 0.10). Sub-analysis showed that the reduction of the psychotic symptoms was effective in the schizophrenia spectrum group (SMD = - 0.22; 95% CI = - 0.36 to - 0.09), web (SMD = - 0.41; 95% CI = - 0.82 to 0.01), virtual reality (SMD = - 0.33; 95% CI = - 0.56 to - 0.10), mobile (SMD = - 0.15; 95% CI = - 0.28 to - 0.03), intervention period of less than 3 months (SMD = - 0.23; 95% CI = - 0.35 to - 0.11), and non-treatment group (SMD = - 0.23; 95% CI = - 0.36 to - 0.11). Conclusion: These findings suggest that digital health interventions alleviate psychotic symptoms in patients with severe mental illnesses. However, well-designed digital health studies should be conducted in the future.

Crack detection in folded plates with back-propagated artificial neural network

  • Oguzhan Das;Can Gonenli;Duygu Bagci Das
    • Steel and Composite Structures
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    • 제46권3호
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    • pp.319-334
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    • 2023
  • Localizing damages is an essential task to monitor the health of the structures since they may not be able to operate anymore. Among the damage detection techniques, non-destructive methods are considerably more preferred than destructive methods since damage can be located without affecting the structural integrity. However, these methods have several drawbacks in terms of detecting abilities, time consumption, cost, and hardware or software requirements. Employing artificial intelligence techniques could overcome such issues and could provide a powerful damage detection model if the technique is utilized correctly. In this study, the crack localization in flat and folded plate structures has been conducted by employing a Backpropagated Artificial Neural Network (BPANN). For this purpose, cracks with 18 different dimensions in thin, flat, and folded structures having 150, 300, 450, and 600 folding angle have been modeled and subjected to free vibration analysis by employing the Classical Plate Theory with Finite Element Method. A Four-nodded quadrilateral element having six degrees of freedom has been considered to represent those structures mathematically. The first ten natural frequencies have been obtained regarding healthy and cracked structures. To localize the crack, the ratios of the frequencies of the cracked flat and folded structures to those of healthy ones have been taken into account. Those ratios have been given to BPANN as the input variables, while the crack locations have been considered as the output variables. A total of 500 crack locations have been regarded within the dataset obtained from the results of the free vibration analysis. To build the best intelligent model, a feature search has been conducted for BAPNN regarding activation function, the number of hidden layers, and the number of hidden neurons. Regarding the analysis results, it is concluded that the BPANN is able to localize the cracks with an average accuracy of 95.12%.