• Title/Summary/Keyword: 수가정보

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Drone Deployment Using Coverage-and-Energy-Oriented Technique in Drone-Based Wireless Sensor Network (드론 기반 무선 센서 네트워크에서의 커버리지와 에너지를 고려한 드론 배치)

  • Kim, Tae-Rim;Song, Jong-Gyu;Im, Hyun-Jae;Kim, Bum-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.15-22
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    • 2019
  • Awireless sensor network utilizes small sensors with a low cost and low power being deployed over a wide area. They monitor the surrounding environment and gather the associated information to transmit it to a base station via multi-hop transmission. Most of the research has mainly focused on static sensors that are located in a fixed position. Unlike a wireless sensor network based on static sensors, we can exploit drone-based technologies for more efficient wireless networks in terms of coverage and energy. In this paper, we introduce a transmission power model and a video encoding power model to design the network environment. We also explain a priority mapping scheme, and deploy drones oriented for network coverage and energy consumption. Through our simulations, this research shows coverage and energy improvements in adrone-based wireless sensor network with fewer sensors, compared to astatic sensor-based wireless sensor network. Concretely, coverage increases by 30% for thedrone-based wireless sensor network with the same number of sensors. Moreover, we save an average of 25% with respect to the total energy consumption of the network while maintaining the coverage required.

Arctic Sea Ice Motion Measurement Using Time-Series High-Resolution Optical Satellite Images and Feature Tracking Techniques (고해상도 시계열 광학 위성 영상과 특징점 추적 기법을 이용한 북극해 해빙 이동 탐지)

  • Hyun, Chang-Uk;Kim, Hyun-cheol
    • Korean Journal of Remote Sensing
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    • v.34 no.6_2
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    • pp.1215-1227
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    • 2018
  • Sea ice motion is an important factor for assessing change of sea ice because the motion affects to not only regional distribution of sea ice but also new ice growth and thickness of ice. This study presents an application of multi-temporal high-resolution optical satellites images obtained from Korea Multi-Purpose Satellite-2 (KOMPSAT-2) and Korea Multi-Purpose Satellite-3 (KOMPSAT-3) to measure sea ice motion using SIFT (Scale-Invariant Feature Transform), SURF (Speeded Up Robust Features) and ORB (Oriented FAST and Rotated BRIEF) feature tracking techniques. In order to use satellite images from two different sensors, spatial and radiometric resolution were adjusted during pre-processing steps, and then the feature tracking techniques were applied to the pre-processed images. The matched features extracted from the SIFT showed even distribution across whole image, however the matched features extracted from the SURF showed condensed distribution of features around boundary between ice and ocean, and this regionally biased distribution became more prominent in the matched features extracted from the ORB. The processing time of the feature tracking was decreased in order of SIFT, SURF and ORB techniques. Although number of the matched features from the ORB was decreased as 59.8% compared with the result from the SIFT, the processing time was decreased as 8.7% compared with the result from the SIFT, therefore the ORB technique is more suitable for fast measurement of sea ice motion.

Electroencephalogram(EEG) Activation Changes and Correlations of signal with EMG Output by left and right biceps (좌우 이두근의 근전도 출력에 따른 뇌파의 활성도 변화와 관련성 탐색)

  • Jeon, BuIl;Kim, Jongwon
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.727-734
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    • 2019
  • This paper confirms whether the movement or specific operation of the muscles in the process of transferring a person from the brain can find a signal showing an essential feature of a certain part of the brain. As a rule, the occurrence of EEG(Electroencephalogram) changes when a signal is received from a specific action or from an induced action. These signals are very vague and difficult to distinguish from the naked eye. Therefore, it is necessary to define a signal for analysis before classification. The EEG form can be divided into the alpha, beta, delta, theta and gamma regions in the frequency ranges. The specific size of these signals does not reflect the exact behavior or intention, since the band or energy difference of the activated frequencies varies depending on the EEG measurement domain. However, if different actions are performed in a specific method, it is possible to classify the movement based on EEG activity and to determine the EEG tendency affecting the movement. Therefore, in this article, we first study the EEG expression pattern based on the activation of the left and right biceps EMG, and then we determine whether there is a significant difference between the EEG due to the activation of the left and right muscles through EEG. If we can find the EEG classification criteria in accordance with the EMG activation, it can help to understand the form of the transmitted signal in the process of transmitting signals from the brain to each muscle. In addition, we can use a lot of unknown EEG information through more complex types of brain signal generation in the future.

Asymmetric Impacts of Oil Price Uncertainty on Industrial Stock Market -A Quantile Regression Approach - (분위수회귀분석을 이용한 유가 변동성에 대한 산업별 주식시장의 이질적 반응 분석)

  • Joo, Young-Chan;Park, Sung-Yong
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.1-19
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    • 2019
  • This paper investigates the asymmetric effects of crude oil price uncertainty on industrial stock returns under different market conditions (bearish and bullish stock markets). We consider a quantile regression method using monthly oil volatility index, KOSPI and 22 industrial stock indices from May 2007 to February 2019. Especially, we take care of the positive and negative changes of the oil volatility index to analyze asymmetric effects of the oil price uncertainty for the bearish and bullish stock market conditions. During the bearish markets, the oil volatility index has relatively strong statistically significant negative effects on the industrial stock returns. These effects gradually decrease when the market conditions became more bullish markets. In particular, positive changes in the oil volatility index yields a further significant decrease in 12 industrial stock returns during the extreme bearish markets. Moreover, during the bullish markets, negative changes in the oil volatility index have statistically significant negative effects on the 12 industrial stock returns. From the empirical results, we see that participants of the Korean stock market are sensitive to bad news in a recession.

A Survey on Usage of Korean Standard Records Management System (표준기록관리시스템의 활용현황 연구)

  • Lee, So-Yeon
    • The Korean Journal of Archival Studies
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    • no.43
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    • pp.71-102
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    • 2015
  • The present study aims at investigating the current usage patterns of Korean Standard Records Management System. The Korean Standard Records Management System has been designed and distributed by the National Archives Korea in order to support records management of public agencies. An email survey has been sent to 4 types of public agencies: central government agencies, provincial governments, provincial education offices as well as city and county offices. While all agencies are included in the survey for the first three types, only two provincial districts are selected for city and county offices, Out of 101 email questionnaires sent, 65 are returned(63.73%). The results show the usage patterns of 240 functionalities aligned to 9 main functions: accession from records creators, preservation, appraisal, accession to the national archives, reference management, access and tracking, retrieval and use, system management as well as freedom of information management by public institutions. Since its launch in 2007, the system has been distributed to 707 public agencies as of late 2014. The problem is that there has been no attempt to evaluate the functionalities and usabilities of the system. Only grievances from those agencies implemented the system have never been ceased. The present study is expected to offer the levelled ground for productive discussion between the national archives and the agencies.

A Study on the list of Chinese Characters Idioms with Korean Education Selected for Married Immigrant Women (결혼이주여성 대상 교육용 한자성어 목록 선정 방안)

  • Li, Chun-Yang;Cho, Ji-Hyeong
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.381-388
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    • 2019
  • In South Korea nowadays, Among the married immigrant women in Korea, the proportion of long-term residents living in Korea for more than 10 years is increasing continuously(48%), while the proportion of short-term residents who are under 5 years is decreasing(16%). However, Korean language education and related research in the Marriage and Immigration Women's Center are still focused on the initial immigrants. Therefore, we should classify married immigrant women according to their stay time in Korea, so that Korean language education and teaching materials need to be more diversified. This study focuses on married immigrant women with intermediate and advanced Korean proficiency and chooses a catalogue of Chinese characters idioms to explore the possibility and educational value of using Chinese characters Idioms in Korean education. According to the research results, Chinese characters idiom education can help married immigrant women in Korean language learning and information acquisition, interpersonal relationships and life attitudes, cultural understanding and social adaptation, child rearing and learning guidance. This is the important part of Korean language education that needs to be guided by married immigrant women. Based on this, 130 Chinese characters idioms in Korean language education and textbook development centered on married immigrant women were selected and catalogue edited in four stages. It is hoped that the results of this study will serve as a reference for Korean language education research and textbook development for married immigrant women in the future.

Monitoring of Microbial Contamination and Caffeine Content of Cold Brew Coffee (유통 판매중인 콜드브루커피의 미생물 오염도 및 카페인함량 모니터링)

  • Kwon, Sung Hee;Kim, Kyung-Seon;Lee, Bo Min;Han, Young Sun;Heo, Myong-Je;Kwon, Mun-Ju;Om, Ae-Son
    • Journal of Food Hygiene and Safety
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    • v.36 no.4
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    • pp.342-346
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    • 2021
  • Cold brew coffee extracted from cold water for a long time has drawn public concern over hygiene. This study was carried out to investigate the microbiological contamination levels and caffeine contents in cold brew coffee. A total of 75 cold brew coffees were purchased from offline and online sources. As a result, the average number of bacteria in samples purchased online was 1.14 log CFU/mL (0-6.57 log CFU/mL), while bacteria were not detected in samples purchased offline. Therefore, stricter surveys are required to avoid the food contamination. However, Esherichia coli and nine types of foodborne pathogens were not detected in all samples. The average caffeine content of the samples was 1.6 mg/mL (384 mg/240 mL), so the caffeine almost reached to acceptable daily intake levels (400 mg for adults). However, ten products did not provide any precautions for consumer safety, so improvement of the system is needed. This monitoring data can contribute to the protection of consumer rights and improvement in the safety of cold brew coffee.

A Method for Prediction of Quality Defects in Manufacturing Using Natural Language Processing and Machine Learning (자연어 처리 및 기계학습을 활용한 제조업 현장의 품질 불량 예측 방법론)

  • Roh, Jeong-Min;Kim, Yongsung
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.52-62
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    • 2021
  • Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.

A Logistic Regression Analysis on the Recognition of Korean Small and Medium Enterprises on Korea-India Comprehensive Economic Partnership (로짓분석을 통한 국내 중소기업의 한-인도 포괄적 경제동반자 협정에 대한 인식 연구)

  • Lee, Soon Cheul
    • International Area Studies Review
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    • v.14 no.2
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    • pp.107-129
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    • 2010
  • This study does the logistic regression analysis in a survey how Korean Small and Medium Enterprises(SMEs) recognize the effects of the Korea-India Comprehensive Economic Partnership (CEPA) on their business activities and strategies. The results show that Korean SMEs which have relatively more employees and bigger size in terms of sales have interest in the Korea-India CEPA. In particular, the SMEs which are engaged in their business activities with India have more interest in the CEPA than those that have not any business relations with India. However, the results show that they will not enter or expand their business fields in India even though the CEPA starts. It implies that Korean SMEs recognize that the CEPA will not affect their business significantly. Thus, this study has a policy implication for government to adopt/establish policies for SMEs utilizing the CEPA. It includes information services about the CEPA, India markets, a political corporation between the Governments for improving the partnerships in the trade and FDI and so on.

Calculation (Computation) of Habitat Suitability Index for Swimming Fish Species Living in Miho Stream in Geum River Water System (금강수계 미호천에 서식하고 있는 유영성 어종의 서식지적합도지수 산정)

  • Hur, Jun Wook;Kim, Kyung Hoon;Lee, Jong Jin
    • Ecology and Resilient Infrastructure
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    • v.8 no.1
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    • pp.9-21
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    • 2021
  • In this study, fish and flow surveys were conducted at 12 survey points to calculate the fish habitat suitability index of Miho Stream in the Geum River Water System. The field surveys were conducted four times from September 2019 to May 2020. The results show the presence of 8 families, 37 species, and 5,754 individuals. The number of water purification species that preferred waters with a low flow rate was the highest. The habitat suitability index was calculated according to the Washington Department of Fish and Wildlife method based on the populations collected at various water depths and flow rate sections and the flow rate survey results. For the dominant species, Zacco platypus and swimming species, the results were compared by calculating at Gasan Bridge and Palgye Bridge at the upper stream. The single species showed no significant difference between the upstream and downstream at water depths of 0.1 - 0.5 m and flow rates of 0.2 - 0.5 m/s. The species swimming ability was similarly calculated at water depths of 0.2 - 0.5 m and flow rates of 0.2 - 0.5 m/s. The dominant species, Pyramid, had a wide range of physical habitats. The habitat suitability index between the swimming species was similarly calculated. These results can be effectively used as basic data for calculating the environmental ecological flow rate and establishing a river restoration plan of the Miho Stream.