• Title/Summary/Keyword: 라디오

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Evaluation of Wind Speed Depending on Pulse Resolution of UHF Wind Profiler Radar (UHF 윈드프로파일러 레이더의 펄스 해상도에 따른 풍속의 정확성 평가)

  • Lee, Kyung-Hun;Kwon, Byung-Hyuk;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.429-436
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    • 2021
  • The wind profilers operated by the Korea Meteorological Administration observe in a low mode for intensive observation of the low levels and a high mode for intensive observation of the high levels. The LAP-3000 wind profiler installed in Bukgangneung and Changwon is characterized by the same sampling frequency of the low mode and the high mode, allowing to compare winds observed in both modes at the same altitude. As a result of analyzing the wind speed of the two points for one year in 2020, the correlation between the two modes was up to 0.2 lower than the correlation with radiosonde. The T-test for the wind speed of the two modes showed a particularly significant difference in October, where the temperature and specific humidity fluctuate frequently. The difference in the development of the atmospheric boundary layer affects the accuracy of the wind speed depending on the observation mode.

A Study of Perception of Media Characteristics: Focused on Developing MAIX(Media Advertising Impact Index) model (매체 속성 평가에 따른 매체가치 비교 연구: 매체 광고 영향력 지수(MAIX: Media Advertising Impact Index) 개발을 중심으로)

  • Lee, Hui-Jun;Jo, Chang-Hwan
    • (The) Korean Journal of Advertising
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    • v.27 no.3
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    • pp.113-139
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    • 2016
  • The purpose of this study was to investigate perception of media characteristics inorder to provide a theoretical background for the media mix strategy. Considering the qualitative-vale of each medium, this study conducted a survey consisting of 60 academic and advertising industry experts to examine how they perceive and evaluate the characteristics of TV, radio, newspaper, OOH, Internet, mobile, and digital signage in terms of media effectiveness. The results, first, show that 'media engagement', 'effective reach', and 'behavioral targeting' are three most important indices to assess the media effectiveness. Second, the Internet was best evaluated in its various aspects according to the MAIX model, which gauges the effectiveness of each advertising medium. The study also proved that each advertising medium has unique advantages so that each medium should adopt a strategic positioning to differentiate it from other media. As such, this study provides meaningful evidences to understand the various characteristics and competitive value of advertising media and useful guidelines for media planning.

Study on Justification of the Legislation of Multimedia -Literacy Education to Solve Side Effects of Improving Social Functions of SNS in the knowledge Information Society (Based on Ajzen's Theory of Planned Behavior) (지식정보화사회에서 SNS의 사회적 기능 향상에 따른 부작용 해결방안을 위한 멀티미디어 -리터러시 교육 법제화의 당위성에 관한 연구(Ajzen의 계획된 행위 이론을 기반으로))

  • Shin, Seungyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.89-94
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    • 2021
  • Recently, the boundaries between people who produce and consume digital contents disappears due to the massive developments in information and communications technology (ICT) and the rapidly increasing spread of smartphones unlike in the traditional mass media (e.g., newspapers, radios, and TVs). Through the open service platform, the problem perception for each individual remains the same, but the problem solving methods varies as the service types have been diversified. The creation of added value through the growth of the new media platform industry is expected to enrich our lives, but it can also cause severe social side effects. For example, communication problems between social classes due to the information gap have led to generational conflict, and if such problems persist, it can cause national and social losses. Therefore, this paper analyzes the policy efforts to resolve the information gap and the necessity of the legalization of multimedia literary education to maximize the synergy effect through psychological model.

Analysis of Deception Jamming Effects on FM Radio based Passive Radar (FM 라디오 기반 수동형 레이다 기만재밍 효과 분석)

  • Song, Kyuha;Kwak, Hyungyu;Kim, Sanhae;Jeong, Inhwan;Lee, Jonghwan;Lee, Byeongnam
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.3
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    • pp.239-250
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    • 2022
  • In this paper, we analyze the performance of an FM radio based passive radar in the presence of deception jamming such as false-target generation. To do this, we examine the effects of applying the deception jamming signal to the passive radar through the derivation of the construction of the amplitude-range-Doppler(ARD) plot. The analysis results show that applying the deception jamming signal with the low power similar to the target echo signal generates false targets at positions set by the jamming variables compared to the real target position in the ARD plot. Also, it is possible to induce the jamming effect so that only false targets are detected by selecting appropriate jamming power. Simulations are included to verify the theoretical results and to discuss on the effectiveness of the deception jamming on the FM radio based passive radar.

The Work Identity and Labor Experience of the Broadcasting Scriptwriters : Focusing on the Auto-ethnography that Reflects the Experiences of the Scriptwriters (방송 구성작가의 업무 정체성과 노동경험: 구성작가들의 체험이 반영된 자기기술지 분석을 중심으로)

  • Kim, Mi-Sook
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.645-661
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    • 2021
  • Scriptwriters have appeared in Korea's broadcasting production system for more than 40 years as a key producer. This study specifically investigated the work identity and labor experience of scriptwriters who have played countless roles from planning and organizing programs in various broadcast genres such as non-drama informative program, entertainment, news, and radio to script writing. As a result of examining the work identity and labor experience of the scriptwriters based on the auto-ethnography of the 20 scriptwriters working in the field, they felt that they had an " indispensable" program producer and a media culture producer and at the same time felt that they were taking on tasks that were unclear. They felt that the cause of this inequality was a problem of the production system and employment type, but they recognized that they could not be solved individually, and they were developing their own skills or building connections to get work, and expanding their areas unconditionally.

Educational Ministries in Korean Churches amid the COVID-19 Pandemic (코로나 시기 한국교회의 교육목회에 관한 사례연구)

  • Kim, Sung-Won;Suh, Eun-Sun
    • Journal of Christian Education in Korea
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    • v.65
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    • pp.103-131
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    • 2021
  • The purpose of this study is to identify the direction of future Christian ministry by examining the educational/pastoral ministries of Korean churches during the COVID-19 period. The study used the case study method, where pastors from four different churches were the primary sources of data. Although each church has its own unique ministry, special early morning prayer meetings, family worship services, family Vacation Bible Schools, Bible writing and reading programs, and on-line discipleship training programs were common. In addition, each church implemented special programs that reflected the characteristics and needs of the church, like a talk show, visible radio, surfing meeting, and book-making of Bible manuscripts. Based on these results, ministry programs reflecting the church's pastoral philosophy, strengthening community consciousness, restoring the spiritual function of the family, utilizing online teaching methods, and psychological support for the underprivileged are proposed. In addition, the recovery of Christian publicity and the help from denomination or specialized institutions to develop the programs and online materials were suggested. Through this study, the direction of educational/pastoral ministry in a time of COVID-19 and post-COVID-19 is proposed.

Unauthorized person tracking system in video using CNN-LSTM based location positioning

  • Park, Chan;Kim, Hyungju;Moon, Nammee
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.77-84
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    • 2021
  • In this paper, we propose a system that uses image data and beacon data to classify authorized and unauthorized perosn who are allowed to enter a group facility. The image data collected through the IP camera uses YOLOv4 to extract a person object, and collects beacon signal data (UUID, RSSI) through an application to compose a fingerprinting-based radio map. Beacon extracts user location data after CNN-LSTM-based learning in order to improve location accuracy by supplementing signal instability. As a result of this paper, it showed an accuracy of 93.47%. In the future, it can be expected to fusion with the access authentication process such as QR code that has been used due to the COVID-19, track people who haven't through the authentication process.

A Study on MRI Semi-Automatically Selected Biomarkers for Predicting Risk of Rectal Cancer Surgery Based on Radiomics (라디오믹스 기반 직장암 수술 위험도 예측을 위한 MRI 반자동 선택 바이오마커 검증 연구)

  • Young Seo, Baik;Young Jae, Kim;Youngbae, Jeon;Tae-sik, Hwang;Jeong-Heum, Baek;Kwang Gi, Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.1
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    • pp.11-18
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    • 2023
  • Currently, studies to predict the risk of rectal cancer surgery select MRI image slices based on the clinical experience of surgeons. The purpose of this study is to semi-automatically select and classify 2D MRI image slides to predict the risk of rectal cancer surgery using biomarkers. The data used were retrospectively collected MRI imaging data of 50 patients who underwent laparoscopic surgery for rectal cancer at Gachon University Gil Medical Center. Expert-selected MRI image slices and non-selected slices were screened and radiomics was used to extract a total of 102 features. A total of 16 approaches were used, combining 4 classifiers and 4 feature selection methods. The combination of Random Forest and Ridge performed with a sensitivity of 0.83, a specificity of 0.88, an accuracy of 0.85, and an AUC of 0.89±0.09. Differences between expert-selected MRI image slices and non-selected slices were analyzed by extracting the top five significant features. Selected quantitative features help expedite decision making and improve efficiency in studies to predict risk of rectal cancer surgery.

Radiomics-based Biomarker Validation Study for Region Classification in 2D Prostate Cross-sectional Images (2D 전립선 단면 영상에서 영역 분류를 위한 라디오믹스 기반 바이오마커 검증 연구)

  • Jun Young, Park;Young Jae, Kim;Jisup, Kim;Kwang Gi, Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.1
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    • pp.25-32
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    • 2023
  • Recognizing the size and location of prostate cancer is critical for prostate cancer diagnosis, treatment, and predicting prognosis. This paper proposes a model to classify the tumor region and normal tissue with cross-sectional visual images of prostatectomy tissue. We used specimen images of 44 prostate cancer patients who received prostatectomy at Gachon University Gil Hospital. A total of 289 prostate slice images consist of 200 slices including tumor region and 89 slices not including tumor region. Images were divided based on the presence or absence of tumor, and a total of 93 features from each slice image were extracted using Radiomics: 18 first order, 24 GLCM, 16 GLRLM, 16 GLSZM, 5 NGTDM, and 14 GLDM. We compared feature selection techniques such as LASSO, ANOVA, SFS, Ridge and RF, LR, SVM classifiers for the model's high performances. We evaluated the model's performance with AUC of the ROC curve. The results showed that the combination of feature selection techniques LASSO, Ridge, and classifier RF could be best with an AUC of 0.99±0.005.

RF Fingerprinting Scheme for Authenticating 433MHz Band Transmitters (433 MHz 대역 송신기의 인증을 위한 RF 지문 기법)

  • Young Min, Kim;Woongsup, Lee;Seong Hwan, Kim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.69-75
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    • 2023
  • Small communication devices used in the Internet of Things are vulnerable to various hacking because they do not apply advanced encryption techniques due to their low memory capacity or slow computation speed. In order to increase the authentication reliability of small-sized transmitters operating in 433MHz band, we introduce an RF fingerprint and adopt a convolutional neural network (CNN) as a classification algorithm. The preamble signal transmitted by each transmitter are extracted and collected using software-defined-radio to constitute a training data set, which is used for training the CNN. We tested identification of 20 transmitters in four different scenarios and obtained high identification accuracy. In particular, the accuracy of 95.8% and 92.6% was obtained, respectively in the scenario where the test was performed at a location different from the transmitter's location at the time of collecting training data, and in the scenario where the transmitter moves at walking speed.