• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1429-1444
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• 2016

We suggest a monitoring procedure to detect changes in the mean of the stochastic process. The monitoring procedure is based on penalized least squares estimates. Unlike the fluctuation (FL) monitoring, we use the numbers of nonzero estimates not the fluctuations of sequential parameter estimates. We investigate the behavior of the proposed monitoring procedure by means of a simulation study and compare its performance with CUSUM monitoring.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2671-2674
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• 2015

Thyroid cancer is the most prevalent endocrine cancer and is evident in nearly 5% of thyroid nodules. The correlation between mean platelet volume (MPV) and many other cancer types has been investigated previously. However, the correlation between papillary thyroid carcinoma (PTC) and MPV has not yet been studied in detail. The aim of this study was to examine whether MPV would be a useful inflammatory marker to differentiate PTC patients from cases of benign goiter and healthy controls. Preoperative MPV levels in patients with PTC were found to be significantly higher when compared with benign goiter patients and healthy controls ((respectively, 8.05 femtoliter (fl), 7.57 fl, 7.36 fl, p=0.001). After surgical treatment of PTC patients, a significant decrease in MPV levels was seen (8.05 fl versus 7.60 fl, p=0.005). ROC analysis suggested 7.81 as the cut-off value for MPV (AUC=0.729, sensitivity 60%, specificity 80%). In conclusion, maybe changes in MPV levels can be used as an easily available biomarker for monitoring the risk of PTC in patients with thyroid nodules, enabling early diagnosis of PTC.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.140-142
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• 2023

Federated learning (FL) is a new paradigm in machine learning (ML) that enables multiple devices to collaboratively train a shared ML model without sharing their local data. FL is well-suited for applications where data is sensitive or difficult to transmit in large volumes, or where collaborative learning is required. The Internet of Underwater Things (IoUT) is a network of underwater devices that collect and exchange data. This data can be used for a variety of applications, such as monitoring water quality, detecting marine life, and tracking underwater vehicles. However, the harsh underwater environment makes it difficult to collect and transmit data in large volumes. FL can address these challenges by enabling devices to train a shared ML model without having to transmit their data to a central server. This can help to protect the privacy of the data and improve the efficiency of training. In this view, this paper provides a brief overview of Fed-IoUT, highlighting its various applications, challenges, and opportunities.

• ETRI Journal
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• v.43 no.3
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• pp.459-470
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• 2021

This paper presents a low-cost prototype for monitoring online the maximum power produced by a domestic photovoltaic (PV) system using Internet of Things (IoT) technology. The most common tracking algorithms (P&O, InCond, HC, VSS InCond, and FL) were first simulated using MATLAB/Simulink and then implemented in a low-cost microcontroller (Arduino). The current, voltage, load current, load voltage, power at the maximum power point, duty cycle, module temperature, and in-plane solar irradiance are monitored. Using IoT technology, users can check in real time the change in power produced by their installation anywhere and anytime without additional effort or cost. The designed prototype is suitable for domestic PV applications, particularly at remote sites. It can also help users check online whether any abnormality has happened in their system based simply on the variation in the produced maximum power. Experimental results show that the system performs well. Moreover, the prototype is easy to implement, low in cost, saves time, and minimizes human effort. The developed monitoring system could be extended by integrating fault detection and diagnosis algorithms.

• KSBB Journal
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• v.13 no.3
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• pp.244-250
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• 1998

Flow-injection analysis (FIA) for on-line monitoring of glucose and acetate are described and employed in E.coli fermentation process. Glucose oxidase (GOD) for the detection of glucose is immobilized on epoxy polymer support, which is packed in a small cartirdge, and applied to a GOD-FIA system. The detection of acetate is based on the inhibition of acetate to the oxidation of sarcosine by sarcosine oxidase (SOD). SOD is also immobilized on epoxy polymer support and used for a SOD-FIA system. GOD-FIA system is characterized as well as SOD-FIA system by the investigation of the effects of pH, temperature and metabolites in samples on the peak height. GOD-FIA and SOD-FIA systems were also applied for on-line On-line measurements buy FIA measurements by FIA were in god agreement with off-line measurements.

• Journal of Korean Society on Water Environment
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• v.18 no.3
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• pp.283-290
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• 2002

In this study, home-made detection system by means of noble FIA is introduced on the measurement of toxic nitrite in the water samples collected from the area of Kwangju. As the standard calibration between 30 to 1000 ppb, the linearity has been shown more than 0.9999 as the correlation coefficient($R^2$) with the detection limit 1.5 ppb(S/N>2). The distribution of sample concentration was monitored as N.D. - 123 ppb which is wide span of concentrations in field water samples. The low level of nitrite is hardly detectable with other expensive sophisticated instruments including ion chromatography. Whereas the result of high concentration brings forth the necessity monitoring constantly our precious water resources. Successfully, the FIA system has played a very important role detecting wide span of nitrite in water sample. This technique can be adopted for controlling our environment in the near future.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.207-210
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• 2005

This paper describes a design of several ship's emergency lighting system(SELS) that power factor is improved and power is controlled extensively, and techniques to control and monitor this system in remote distance by PC serial communication. The remote monitoring control system is composed of emergency power supply system (EPSS), half bridge(HB)inverter, fluorescent lamp(FL), microprocessor, multi communication interface. EPSS checks the voltage of the emergency backup battery in real time. In case that the voltage of 13[V] or less has been detected for 5[msec] or longer for 3 times in a row, charger circuit is connected for battery charging. Experimental works using proposed system confirm that speedy and stable power to be supplied when main power source cut-off, compared with conventional analog type, and input power up to 35.0[%] by adjusting of pulse frequency of the HB inverter.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.473-476
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• 2004

본 논문에서는 자동차 센서들의 신호들을 실시간으로 처리하여 디스플레이하는 시스템을 개발하였다. 실시간 자동차 센서 감시시스템은 센서의 신호를 받아들이는 센서 입력블록, 변환된 센서 데이터를 계산하는 Main Control 블록, 그리고 계산된 데이터를 실시간으로 표시하는 Display 블록으로 구성된다. 4개의 타이어에 부착된 센서로부터 압력 및 온도를 감지하고 이를 담은 데이터를 실시간으로 송신하고 운전자에게 수신된 데이터를 디스플레이하여 타이어의 압력상태를 점검하며 이와 함께 차내의 연료량 센서에서 입력된 연료잔량을 fl산하여 현재 주행가능거리를 표시하며 그 외에 냉각수 온도, 엔진오일레벨, 차내 온도센서를 일정한 시간간격을 두고 순차적으로 받아들여 각 센서들의 상태를 Craphic LCD를 이용하여 실시간으로 표시한다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.05a
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• pp.369-369
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• 2003

Hemocytes in marine bivalves play important immunological roles in discrimination, opsonization and phagocytosis of foreign materials as a defense mechanism. In this study we report the flow cytometric implications to investigate the immune parameters such as the compositional and the functional characteristics of hemocytes isolated from the Manila clams, Ruditapes philippinarum. Heterogeneity of the hemocytic cell population was determined by the forward scatter (FSC) and side scatter (SSC) cytometric profile which showed three populations: granulocytes, hyalinocytes and small agranular cells. In addition, phagocytosis rate was measured after adding fluorescent-labeled particles. The data were initially analysed for two-parameters: FSC and SSC, then the fluorescent (FL 1) frequency distribution histogram of the hemocyte population was subsequently obtained.

• Journal of Aquaculture
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• v.20 no.1
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• pp.14-18
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• 2007

Seed production of the cherry salmon, Oncorhynchus masou (Brevoort) were studied in terms of egg development, hatching rate, juvenile growth, smolt duration, smolt rate, and adult growth rates. Fork length and body weight of $0^+$ juvenile were $9.32{\pm}1.19\;cm$ and $9.36{\pm}3.50\;g$ for females and $9.07{\pm}1.02\;cm$ and $8.57{\pm}3.04\;g$ for males, respectively. Body weights of $1^+$ smolt were $84.09{\pm}18.1\;g$ and $86.33{\pm}41.2\;g$ for females and males, while body weights of $1^+$ parr were $101.88{\pm}60.9\;g$ and $98.38{\pm}39.6\;g$ for females and males, respectively. Monitoring of gonadosomatic index (GSI) confirmed that maturations of both sexes were not synchronous; males achieved highest GSI in September, while females achieved it in October.