• 제목/요약/키워드: A5023

검색결과 8건 처리시간 0.019초

LED전광판 디자인을 위한 시뮬레이터 개발 (Simulator Development for LED Display Design)

  • 진성아
    • 한국산학기술학회논문지
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    • 제11권12호
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    • pp.5023-5028
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    • 2010
  • 본 논문에서는 LED 전광판 그래픽 디자인이 전문디자이너에 의존하기에 야기되는 고비용 구조의 문제를 해결하기 위해 이미지기반 LED 디자인 시뮬레이터를 제안한다. 현재 LED 시뮬레이터는 텍스트 처리하거나 미리 정의된 심볼을 설계하는 수준 정도에 그치고 있는 실정이다. 따라서 히스토그램 평활화와 bicubic 보간법을 포함하는 영상 필터링 기술을 이용하여 형상을 모델링하고, 컬러매핑, 효과 기능을 추가하여 재생가능한 LED 디자인 시뮬레이터 개발하였다. 시스템의 성능평가를 위해 효과별 실행시간 평가와 카테고리별 다양한 실험결과를 제시하였다.

Specific CCND1 G870A Alleles Associated with Breast Cancer Susceptibility: a Meta-analysis of 5,528 Cases and 5,353 Controls

  • Cui, Jing;Shen, Liang;Wang, Yu
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권10호
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    • pp.5023-5025
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    • 2012
  • Background: The Cyclin D1(CCND1) G870A polymorphism may be associated with breast cancer, but the evidence from individual studies is inconclusive. The aim of this study was to investigate the correlation between the CCND1 G870A polymorphism and breast cancer risk in a meta-analysis. Materials and Methods: We searched Pubmed and analysed 11 articles on 5,528 cases and 5,353 controls before February 1, 2012. Results: we found there are significant association for AA versus GG and AA versus GA/GG. No significant associations were found for GA versus GG, GA/AA versus GG. There are significant association for AA versus GG, and AA versus GA/GG in Caucasians. We didn't find any significant main effects for G870A polymorphism on breast cancer risk either in recessive or dominant models in Asians. Conclusion: This meta-analysis suggests that AA of the CCND1 G870A polymorphism is associated with breast cancer susceptibility.

Inactivated Sendai Virus Strain Tianjin Induces Apoptosis in Human Breast Cancer MDA-MB-231 Cells

  • Chen, Jun;Han, Han;Chen, Min;Xu, Xiao-Zhu;Wang, Bin;Shi, Li-Ying
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권12호
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    • pp.5023-5028
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    • 2014
  • Sendai virus strain Tianjin is a novel genotype. Here, we investigate the antitumor and proapoptotic effects of ultraviolet-inactivated Sendai virus strain Tianjin (UV-Tianjin) on human breast cancer MDA-MB-231 cells in vitro, as well as the involvement of the apoptotic pathway in the mechanism of UV-Tianjin-induced antitumor effects. MTT assays showed that treatment with UV-Tianjin dose-dependently inhibited the proliferation of MDA-MB-231 cells but not normal MCF 10A breast epithelium cells. Hoechst staining and flow cytometric analysis revealed that UV-Tianjin induced apoptosis of MDA-MB-231 cells in a dose-dependent manner. Moreover, UV-Tianjin treatment resulted in reduction in the mitochondria membrane potential (MMP) and release of cytochrome complex (cyt c) via regulation of Bax and Bcl-2, as well as activation of caspase-9, caspase-3, Fas, FasL and caspase-8 in MDA-MB-231 cells. In summary, our study suggests that UV-Tianjin exhibits anticancer activity in human breast cancer MDA-MB-231 cells through inducing apoptosis, which may involve both the endogenous mitochondrial and exogenous death receptor pathways.

Screening in the Era of Economic Crisis: Misperceptions and Misuse from a Longitudinal Study on Greek Women Undergoing Benign Vacuum-assisted Breast Biopsy

  • Domeyer, Philip John;Sergentanis, Theodoros Nikolaos;Katsari, Vasiliki;Souliotis, Kyriakos;Mariolis, Anargiros;Zagouri, Flora;Zografos, George Constantine
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5023-5029
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    • 2013
  • Background: To evaluate knowledge about screening tests and tests without proven screening value in a Greek Breast Unit population undergoing benign vacuum-assisted breast biopsy (VABB). Materials and Methods: This study included 81 patients. Three knowledge-oriented items (recommended or not, screening frequency, age of onset) were assessed. Regarding screening tests two levels of knowledge were evaluated: i). crude knowledge (CK), i.e. knowledge that the test is recommended and ii). advanced knowledge (AK), i.e. correct response to all three knowledge-oriented items. Solely CK was evaluated for tests without proven screening value. Risk factors for lack of knowledge were assessed with multivariate logistic regression. A second questionnaire was administered 18 months after VABB to assess its impact on the performance of tests. Results: Concerning screening tests considerable lack of AK was noted (mammogram, 60.5%; Pap smear, 59.3%; fecal occult blood testing, 93.8%; sigmoidoscopy, 95.1%). Similarly lack of CK was documented regarding tests without proven screening value (breast self-examination, 92.6%; breast MRI, 60.5%; abdominal ultrasound, 71.6%; barium meal, 48.1%; urine analysis, 90.1%; chest X-Ray, 69.1%; electrocardiogram, 74.1%; cardiac ultrasound, 75.3%). Risk factors for lack of AK were: place of residence (mammogram), age (Pap smear), personal income (sigmoidoscopy); risk factors for lack of CK included number of offspring (breast MRI, chest X-Ray), BMI (abdominal ultrasound), marital status (urine analysis), current smoking status (electrocardiogram). VABB's only effect was improvement in mammogram rates. Conclusions: A considerable lack of knowledge concerning screening tests and misperceptions regarding those without proven value was documented.

Sequential Pattern Mining for Intrusion Detection System with Feature Selection on Big Data

  • Fidalcastro, A;Baburaj, E
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권10호
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    • pp.5023-5038
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    • 2017
  • Big data is an emerging technology which deals with wide range of data sets with sizes beyond the ability to work with software tools which is commonly used for processing of data. When we consider a huge network, we have to process a large amount of network information generated, which consists of both normal and abnormal activity logs in large volume of multi-dimensional data. Intrusion Detection System (IDS) is required to monitor the network and to detect the malicious nodes and activities in the network. Massive amount of data makes it difficult to detect threats and attacks. Sequential Pattern mining may be used to identify the patterns of malicious activities which have been an emerging popular trend due to the consideration of quantities, profits and time orders of item. Here we propose a sequential pattern mining algorithm with fuzzy logic feature selection and fuzzy weighted support for huge volumes of network logs to be implemented in Apache Hadoop YARN, which solves the problem of speed and time constraints. Fuzzy logic feature selection selects important features from the feature set. Fuzzy weighted supports provide weights to the inputs and avoid multiple scans. In our simulation we use the attack log from NS-2 MANET environment and compare the proposed algorithm with the state-of-the-art sequential Pattern Mining algorithm, SPADE and Support Vector Machine with Hadoop environment.

KS5J32 Al합금 마찰교반접합부의 인장성질에 미치는 접합조건의 영향 (The Effect of Welding Condition on Tensile Properties of Friction Stir Welds of KS5J32 Al Alloy)

  • 윤태진;김상주;김남규;송상우;강정윤
    • Journal of Welding and Joining
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    • 제29권5호
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    • pp.82-89
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    • 2011
  • The effect of welding condition on tensile properties of KS5J32 Al Alloy was investigated under various welding conditions. The 1.6 mm thick KS5J32 alloy sheets were joined by friction stir welding (FSW) technique with butt joint. The tool rotation speeds were 1000, 1250 and 1500 rpm, and the welding speeds were varied within the range from 100 to 600 mm/min. Voids mainly occurred at the advancing side of the tool probe, when the tool rotation speed was low, due to insufficient materials flow. When the weld pitch exceeded 0.4 mm/rev, voids were observed under all welding conditions and the area of voids increased with increasing weld pitch. For void-free specimens, fracture always occurred at base materials. However voids affected the location of fractures, base metal or welded zone, when the voids existed within the welds.

Breast Cancer Metastasis Associations with Clinicopathological Characteristics in Mexican Women Younger than 40 Years of Age

  • Rosales, Azucena Moreno;Molina, Miguel Corres;Moo, Jacqueline Gongora;Morelos, Pablo Romero;Bandala, Cindy
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권11호
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    • pp.5019-5023
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    • 2016
  • Background: In Mexico, breast cancer (BCa) is in first place regarding cancer mortality and has been established as a priority health issue. The incidence of metastasis from BCa is very high and presents as the principal mortality factor among women younger than 40 years of age. OBJECTIVE. To determine any associations between clinicopathological characteristics and metastasis in Mexican women under 40 years of age. Methods: During the 2010-2015 period, a total of 180 female BCa cases seen at the Navy General High Specialty Hospital, SEMAR, in Mexico City; we collected information on 20 patients with BCa younger than 40 years of age. Statistical analyses were conducted using the Kolmogorov-Smirnov, Students t, Fisher, Chi square, and Mantel-Haenszel tests. Results: The prevalence of women with BCa younger than the age of 40 years during the 2010-2015 period was 13.3%. We found a high frequency of obesity in of these cases (>75%); 100% of obese patients with a history of smoking presented with metastasis (p <0.05). In addition, the hormone phenotype was important; HER2-positive cases were 12 times more likely tto exhibit metastasis (p <0.05), while expression of estrogen and progesterone receptors appeared to be protective. Diabetes mellitus in combination with smoking was also a risk factor for development of metastasis (p <0.05). Conclusion: In this study, we obtained essential data regarding risk of metastasis in young breast cancer cases which could be useful for predicting disease evolution and treatment response.

재생에너지 발전량 예측제도 기반 집합전력자원 구성모델 개발 (The Development of an Aggregate Power Resource Configuration Model Based on the Renewable Energy Generation Forecasting System)

  • 강은경;장하렴;양선욱;양성병
    • 지능정보연구
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    • 제29권4호
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    • pp.229-256
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    • 2023
  • 팬데믹으로 인한 재택근무와 가정용 전력수요의 증가는 전력수요 패턴에 상당한 변화를 불러왔다. 이로 인해 한전 PPA(전력구매계약) 및 자가용 태양광 발전량 파악이 어려워지고, 전력거래소의 전력수요예측과 계통운영에 어려움이 가중되고 있다. 전기에너지는 다른 에너지 자원과 달리 저장이 어려워, 생산된 에너지와 소비 사이의 균형을 유지하는 것이 매우 중요하다. 전기에너지의 부족이나 과잉 생산은 에너지 시스템에 큰 불안정성을 초래할 수 있으므로, 전력 수급을 효과적으로 관리하는 것이 필수적이다. 특히, 4차 산업혁명 시대에는 데이터의 중요성이 더욱 커져 대규모 화재나 정전과 같은 문제가 심각한 영향을 미칠 수 있다. 이에 따라, 전기에너지 분야에서 정확한 전력수요와 함께 재생에너지와 같은 발전량을 정확하게 예측하여 적절한 발전 관리를 하는 것이 중요하며, 이는 불필요한 전력 생산을 줄이고 에너지 자원을 효율적으로 활용하는데 도움이 된다. 이에, 본 연구에서는 산업통상자원부에서 제공한 169개 발전소의 데이터를 활용하여 최적의 집합전력자원을 구성하기 위해 (1) 재생에너지 발전량 예측제도와 목표, 그리고 실제 적용에 대해 검토하고, (2) 예측제도 정산을 고려한 집합구성 알고리즘을 개발한 후, (3) 분석 로직에 이를 적용하여 결과를 종합하고 해석하였다. 본 연구는 최적의 집합구성 알고리즘을 개발하여, 최대 정산금 대비 80.66%에 달하는 집합구성(Result_Number 546)을 도출하였으며, 발전소 집합을 구성하였을 때 정산금을 증가시키는 발전소(B1783, B1729, N6002, S5044, B1782, N6006)와 정산금을 감소시키는 발전소(S5034, S5023, S5031)를 확인하였다. 집합전력자원을 연구단위로 설정하여 최적의 집합구성 알고리즘을 개발한 최초의 연구로서 의의가 있으며, 본 연구결과의 활용으로 전력시스템의 안정성을 향상시키고 에너지 자원이 효율적으로 활용될 수 있기를 기대한다.