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A Proposal of the Maximum Allowable Off-axis Level for HAPS Ground Station in 47/48GHz Bands (47/48GHz 대역의 HAPS 지상국을 위한 최대 허용 off-axis 레벨 제안)

  • Choi Mun-Hwan;Kang Young-Heung;Park Jong-Min;Ku Bon-Jun;Ahn Do-Seob
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.611-614
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    • 2006
  • Resolution 122 requires to study power limitation applicable for HAPS ground stations to facilitate sharing with space station receivers in 47/48GHz bands. ITU-R Recommendation 1481-1 recommends to improve the side lobe characteristics of HAPS ground station antenna for sharing between FSS system and HAPS system. Thus, in this paper, we propose maximum allowable off-axis e.i.r.p. level of HAPS ground station antennas by considering power limitation to HAPS ground station in Resolution 122 in order to reduce unfeasible separate distance between HAPS and GSO FSS service coverage and improve the side lobe characteristics of HAPS ground station antennas in Recommendation SF.1481-1.

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A Personalized Dietary Coaching Method Using Food Clustering Analysis (음식 군집분석을 통한 개인맞춤형 식이 코칭 기법)

  • Oh, Yoori;Choi, Jieun;Kim, Yoonhee
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.6
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    • pp.289-294
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    • 2016
  • In recent times, as most people develop keen interest in health management, the importance of cultivating dietary habits to prevent various chronic diseases is emphasized. Subsequently, dietary management systems using a variety of mobile and web application interfaces have emerged. However, these systems are difficult to apply in real world and also do not provide personalized information reflective of the user's situation. Hence it is necessary to develop a personalized dietary management and recommendation method that considers user's body state information, food analysis and other essential statistics. In this paper, we analyze nutrition using self-organizing map (SOM) and prepare data about nutrition using clustering. We provide a substitute food recommendation method and also give feedback about the food that user wants to eat based on personalized criteria. The experiment results show that the distance between input food and recommended food of the proposed method is short compared to the recommended food results using general methods and proved that nutritional similar food is recommended.

A Tag Clustering and Recommendation Method for Photo Categorization (사진 콘텐츠 분류를 위한 태그 클러스터링 기법 및 태그 추천)

  • Won, Ji-Hyeon;Lee, Jongwoo;Park, Heemin
    • Journal of Internet Computing and Services
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    • v.14 no.2
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    • pp.1-13
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    • 2013
  • Recent advance and popularization of smart devices and web application services based on cloud computing have made end-users to directly produce and, at the same time, consume the image contents. This leads to demands of unified contents management services. Thus, this paper proposestag clustering method based on semantic similarity for effective image categorization. We calculate the cost of semantic similarity between tags and cluster tags that are closely related. If tags are in a cluster, we suppose that images with them are also in a same cluster. Furthermore, we could recommend tags for new images on the basis of initial clusters.

Simulation Study of VHF band π/4-DQPSK Maritime Digital Communication Modem According to ITU-R M.1842-1 Annex1 (ITU-R M.1842-1 Annex1 π/4-DQPSK VHF 대역 해상 디지털 통신모뎀의 시뮬레이션 연구)

  • Kwak, Jae-Min
    • Journal of Advanced Navigation Technology
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    • v.17 no.6
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    • pp.693-699
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    • 2013
  • In this paper, ${\pi}/4$-DQPSK modem according to ITU-R M.1842-1 recommendation Annex1 is investigated and simulated. At first, standardization and technical trend of VHF maritime mobile communication are introduced. The ${\pi}/4$-DQPSK modem defined in the Annex1 should support 28.8Kbps bit transmission rate within 25KHz frequency bandwidth. We describe the system model and simulation process of ${\pi}/4$-DQPSK modem transmitter and receiver design with RRC(Root Raised Cosine) transmitter and receiver filter. Then we suggest various graphical simulation results(time domain signals, constellation, power spectral density according to roll-off factor, eye diagram), and show simulated BER performance of the modem. From the simulation results, it is shown that roll-off factor of RRC filter affects to BER performance according to SNR and the designed simulation model meets the spectrum mask requirement suggested in ITU-R M.1842-1 recommendation.

A Proposal of the Maximum Allowable Off-axis e.i.r.p. Level of HAPS Ground Station for Frequency Sharing with 47/48GHz FSS system (47/48GHz FSS 위성 시스템과의 주파수 공유를 위한 HAPS 지상국의 최대 허용 off-axis e.i.r.p. 레벨 제안)

  • Kang, Young-Heung;Choi, Mun-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.3
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    • pp.459-464
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    • 2007
  • Resolution 122 requires to study power limitation applicable for HAPS ground stations to facilitate sharing with space station receivers in 47/48GHz bands. ITU-R Recommendation 1481-1 recommends to improve the side lobe characteristics of HAPS ground station antenna for frequency sharing between FSS system and HAPS system. In this paper, we propose the maximum allowable off-axis e.i.r.p. level of HAPS ground station antennas by considering power limitation to HAPS ground station in Resolution 122, and by improving the side lobe characteristics of HAPS ground station antennas in Recommendation SF.1481-1. The simulation results show that the unfeasible sharing distance between HAPS ground station and FSS earth station can be reduced remarkably, and give the possibility of frequency sharing between two above systems.

Verification and Analysis for Recommendation ITU-R P.526, P.1546, P.1812 of Propagation Model Loaded in Spectrum Management Intelligent System (주파수자원분석시스템 탑재 전파모델 ITU-R P.526, P.1546, P.1812의 검증 및 분석)

  • Kim, Dong-Woo;Oh, Soon-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.247-254
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    • 2021
  • Problems such as a limited frequency resource and interference between adjacent bands have been continuously raised because of rapidly developing wireless technology and communication service. In order to solve that problem, government has been developed and operating the Spectrum Management Intelligent System(SMIS). This paper compares the results simulated by SMIS with the ATDI and the Matlab coded provided by ITU-R for verification of SMIS operating for the public interests. The Recommendation ITU-R P.526, P.1546, and P.1812 among the propagation model loaded in SMIS were chosen because of the relation to the broadcasting service. The comparison and analysis result shows that the outputs derived by SMIS has the small error of less than 1 dB. This research could be utilized for the policy establishment and R&D for the frequency allocation and the interference between adjacent bands.

Natural Language Processing-based Personalized Twitter Recommendation System (자연어 처리 기반 맞춤형 트윗 추천 시스템)

  • Lee, Hyeon-Chang;Yu, Dong-Pil;Jung, Ga-Bin;Nam, Yong-Wook;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.39-45
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    • 2018
  • Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.

Music Therapy Counseling Recommendation Model Based on Collaborative Filtering (협업 필터링 기반의 음악 치료 상담 추천 모델)

  • Park, Seong-Hyun;Kim, Jae-Woong;Kim, Dong-Hyun;Cho, Han-Jin
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.31-36
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    • 2019
  • Music therapy, a field that convergence music and treatment, which play a fundamental role in personality formation, possesses diverse and complex treatment methods. Music therapists in charge of music therapy may experience the same phenomenon as countertransference in consultation with clients. In addition, experiencing psychological burnout, there are many difficulties in reaching the final goal of music therapy. In this paper, we provide a collaborative filtering-based music therapy consultation data recommendation model for smooth music therapy consultation with clients who visited for music therapy. The proposed model grasps the similarity between the conventional consultation data and the new consultant data through the euclidean distance algorithm. This is to recommend similar consultation materials. Since music therapists can provide optimal consultation materials for consultants who need music therapy, smooth consultation is expected.

Implementation of Machine Learning-Based Art Work Recommendation Service in Embedded System Environments (임베디드 시스템 환경에서의 머신러닝 기반 미술 작품 추천 서비스 구현)

  • Cheon, Mi-Hyeon;Lee, Donghwa
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.265-271
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    • 2019
  • The number of galleries across the country is increasing as interest in cultural life increases due to the increase in national income. However, museum satisfaction is relatively low compared to other services. In this paper, we propose a service that provides preference information based on machine learning in embedded system environment in order to increase museum satisfaction. The proposed algorithm implements an embedded system using Raspberry Pi. Machine learning was used to find works similar to the viewer's favorite works, and several models were compared to select models applicable to embedded systems. By using the preference information, it is possible to effectively organize the gallery exhibition contents to increase the exhibition satisfaction and the re-visit rate of the museum.

Sentence Recommendation Using Beam Search in a Military Intelligent Image Analysis System (군사용 지능형 영상 판독 시스템에서의 빔서치를 활용한 문장 추천)

  • Na, Hyung-Sun;Jeon, Tae-Hyeon;Kang, Hyung-Seok;Ahn, Jinhyun;Im, Dong-Hyuk
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.521-528
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    • 2021
  • Existing image analysis systems in use in the military field are carried out by readers analyzing and identifying images themselves, writing and disseminating related content, and in this process, repetitive tasks are frequent, resulting in workload. In this paper, to solve the previous problem, we proposed an algorithm that can operate the Seq2Seq model on a word basis, which operates on a sentence basis, and applied the Attention technique to improve accuracy. In addition, by applying the Beam Search technique, we would like to recommend various current identification sentences based on the past identification contents of a specific area. It was confirmed through experiments that the Beam Search technique recommends sentences more effectively than the existing greedy Search technique, and confirmed that the accuracy of recommendation increases when the size of Beam is large.