• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.27-35
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• 2017

In near future, IoT data is expected to be a major portion of Big Data. Moreover, sensor data is expected to be major portion of IoT data, and its' research is actively carried out currently. However, processed results may not be trusted and used if outlier data is included in the processing of sensor data. Therefore, method for detection and deletion of those outlier data before processing is studied in this paper. Moreover, we used Spark which is memory based distributed processing environment for fast processing of big sensor data. The detection and deletion of outlier data consist of four stages, and each stage is implemented with Mapper and Reducer operation. The proposed method is compared in three different processing environments, and it is expected that the outlier detection and deletion performance is best in the distributed Spark environment as data volume is increasing.

• The Korean Journal of Food And Nutrition
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• v.14 no.3
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• pp.263-268
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• 2001

NaIO$_4$-산화 전분당을 Bacillus licheniformis의 $\alpha$-아밀라아제의 반응시켜서 시프염기 형성으로 당단백질로 변형시켜서 안정성을 확인하였다. 10$0^{\circ}C$에서의 열안정성은 10분 뒤에, pH 9.7에서 변형한 효소 비변형 효소의 순으로 높았다. 그러나 변형 및 안정성에 $\alpha$-cyclodextrin($\alpha$-CD)을 사용한 결과 큰 차이는 나지 않았다. pH 8.0에서 $\alpha$-CD 존재하에 변형한 효소는 pH 8~11dml 알칼리쪽에서 가장 높은 안정성을 나타냈으나, pH 5~7사이에는 다른 효소보다 낮았다. pH 9.7에서 변형하지 않은 효소는 pH 5부터 pH 13까지 서서히 증가하였고 pH 9.7에서 $\alpha$-CD존재 하의 효소는 pH 5부터 7까지 증가하다가 그 후 pH13까지 서서히 감소하였다. $\alpha$-CD존재하의 비변형 효소는 pH 7과 10에서 피크를나타낸 다음 pH12이후에는 급격히 낮아졌다. 변형한 효소는 HPLC 의 유출시간이 빨라wu서 변형하지 않은 효소보다 분자량이 큰 것으로 나타났다. 분자량 크기는 비변형 효소

• Journal of Drive and Control
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• v.19 no.4
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• pp.104-109
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• 2022

For autonomous driving research using AI, datasets collected from road environments play an important role. In other countries, various datasets such as CityScapes, A2D2, and BDD have already been released, but datasets suitable for the domestic road environment still need to be provided. This paper analyzed and verified the dataset reflecting the Korean driving environment. In order to verify the training dataset, the class imbalance was confirmed by comparing the number of pixels and instances of the dataset. A similar A2D2 dataset was trained with the same deep learning model, ConvNeXt, to compare and verify the constructed dataset. IoU was compared for the same class between two datasets with ConvNeXt and mIoU was compared. In this paper, it was confirmed that the collected dataset reflecting the driving environment of Korea is suitable for learning.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.73-74
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• 2016

IoT 데이터는 비정형 데이터로 가공되고 분석하였을 때 비로소 가치를 갖기에 전 세계적으로 빅데이터 기술에 관심이 집중되고 있다. IoT 데이터 중 많은 부분을 차치하는 센서 데이터는 수집이 용이하고 활용범위가 넓기 때문에 여러 분야에서 사용되고 있다. 하지만 센서가 정상적으로 작동하지 못한 경우에는 실제와는 다른 값인 이상치를 포함하여 왜곡된 결과가 도출되어 활용할 수 없는 경우가 생긴다. 따라서 본 논문에서는 정확한 결과를 도출하기 위하여 수집된 원자료의 데이터를 분석하기 전에 이상치 탐지 및 제거를 하고자 한다. 또한 점점 늘어나고 있는 대용량 데이터를 신속하게 처리하기 위하여 메모리 접근방식인 스파크를 사용한 분산처리환경에서 이상치 탐지 및 제거하는 것을 제안한다. 맵리듀스 기반의 이상치 탐지 및 제거는 총 4단계로 나누어 구현하였으며 제안한 기법의 성능 평가를 위해 총 3가지 환경에서 비교하여 실험하였다. 실험을 통해 데이터의 용량이 커질수록 분산처리환경에서 스파크를 사용하여 처리하는 방식이 가장 빠를 것 이라는 결과를 얻었다.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.4
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• pp.67-78
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• 2016

Recently many countries around the world are actively promoting smart city projects to address various urban problems such as traffic congestion, housing shortage, and energy scarcity. Due to development of the Internet of Things (IoT), the development of a smart city with sustainability, convenience, and environment-friendliness was enabled through the effective control and reuse of urban resources. The purpose of this study is to analyze the technical trends of IoT and present a development plan for smart city which is one of the applications of the IoT. To this end, the news articles of the Electronic Times between 2013 and 2015were analyzed using the text mining technique and smart city development cases of other countries were investigated. The analysis results revealed the close relationships of big data, cloud, platforms, and sensors with smart city. For the successful development of a smart city, first, all the interested parties in the city must work together to create new values throughout the entire process of value chain. Second, they must utilize big data and disclose public data more actively than they are doing now. This study has made academic contribution in that it has presented a big data analysis method and stimulated follow-up studies. For the practical contribution, the results of this study provided useful data for the policy making of local governments and administrative agencies for smart city development. This study may have limitations in the incorporation of the total trends because only the news articles of the Electronic Times were selected to analyze the technical trends of the IoT.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.392-399
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• 2023

This paper proposes a deep learning model to determine the region and depth of cabbage cores for robotic automation of the cabbage core removal process during the kimchi manufacturing process. In addition, rather than predicting the depth of the measured cabbage, a model was presented that simultaneously detects and classifies the area by converting it into a discrete class. For deep learning model learning and verification, RGB images of the harvested cabbage 522 were obtained. The core region and depth labeling and data augmentation techniques from the acquired images was processed. MAP, IoU, acuity, sensitivity, specificity, and F1-score were selected to evaluate the performance of the proposed YOLO-v4 deep learning model-based cabbage core area detection and classification model. As a result, the mAP and IoU values were 0.97 and 0.91, respectively, and the acuity and F1-score values were 96.2% and 95.5% for depth classification, respectively. Through the results of this study, it was confirmed that the depth information of cabbage can be classified, and that it can be used in the development of a robot-automation system for the cabbage core removal process in the future.

• BMB Reports
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• v.38 no.2
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• pp.253-257
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• 2005

In our previous study, Soamsan, a traditional Oriental medicine, was shown to enhance the induction of antigen-specific immune responses, and it was speculated that the enhancing activity might be closely associated with glycoproteins contained within the medicine. To elucidate this speculation, protein samples from each component, used in the preparation of Soamsan, were obtained and their immune stimulating activities were tested with mouse splenocytes. All the samples markedly enhanced the lymphocyte proliferation and cytokine secretion by the mouse splenocytes. In particular, the enhancement was significantly higher with the protein sample treatments than with those of the original crude sample. Furthermore, the pronase E- and $NaIO_4$-mediated inhibition of splenocyte-stimulation activity of the protein samples clearly supported that glycoproteins are the main class of active ingredients responsible for the lymphocyte stimulating activity of the samples. Consequently, our findings suggest that glycoproteins might have a pivotal role in Soamsan-mediated immune modulation, although the in vivo effect of the glycoproteins should be further elucidated.

• The Korean Journal of Food And Nutrition
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• v.14 no.3
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• pp.193-198
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• 2001

고정화 inulinase를 이용하여 inulin으로부터 fruc-tose 시럽을 연속적으로 생산하기 위하여 Bacillus sphaericus 188-1이 생성하는 inulinase를 부분 정제한후 5시간 NaIO$_4$로 산화시킨 cellulose에 고정화시킨 다음 이들의 성질을 조사하였다. 산화 cellulose에 고정화시킨 inulinase의 활성은 g당 47 Unit 이었고 고정화수율과 활성수율은 각각 41%와 39%이었다. 고정화시킨 inulinase의 작용 최적온도와 pH는 각각 5$0^{\circ}C$, pH 9.0이었고 5$0^{\circ}C$, pH 8.0~10.0에서 비교적 안정 하였다 고정화시킨 inulinas의 활성은 K+, Ca2+, Mn2+과 Hg2+에 의하여 활성화 되었으며 EDTA(10mM)에 의하여 심하게 저해되었다.

• Bulletin of the Korean Chemical Society
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• v.28 no.12
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• pp.2315-2318
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• 2007

Epinephrine was determined using a lab-made chemiluminescence (CL) system with air pump. Luminolsodium IO4? chemiluminescence system was employed to produce the luminescence of epinephrine. In the reaction, epinephrine was oxidized to produce superoxide or singlet oxygen by periodate in alkaline solution, which enhanced CL of luminol. For optimization, various buffers, such as phosphate, borate, and tris, were studied in this experiment. Compared to NaOH, the phosphate and borate buffer showed better reproducibility with similar sensitivity. Small amount of sample, 22 μL, was required for a measurement. The limit of quantification for epinephrine was obtained to be ~10?9 g/mL after optimization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.63-75
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• 2021

It is necessary to respond to rapid technological changes such as the 4th industrial revolution and digital transformation across industries. And, a change in the university education system is necessary in a crisis situation of universities due to the rapid decrease of the school-age population. This study is aimed at practical competency with the ability to apply intelligent information technology to their job fields based on a basic understanding of intelligent information technology rather than advanced competency centered on theory and research. Instead of presenting the curriculum system diagram so that it can be flexibly applied to the design and development of the curriculum for intelligent information technology, training modules according to job and level were presented. In relation to intelligent information technology, a questionnaire was conducted for college professors, and industry experts were conducted on the derived educational modules to reflect the opinions of the industry. Industry experts said that collaboration with PBL, Capstone, and industry is necessary to improve problem-solving and communication skills.