• Title/Summary/Keyword: 위치인식기반

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Conceptual Design of Crew Support System Based on Wireless Sensor Network and Power Line Communication for Cruise Ship (전력선통신(Power Line Communication) 기반 센서네트워크를 이용한 크루즈선 승무원 지원 시스템 개념연구)

  • Kang, Hee-Jin;Lee, Dong-Kon;Park, Beom-Jin;Paik, Bu-Geun;Cho, Seong-Rak
    • Journal of the Society of Naval Architects of Korea
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    • v.46 no.6
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    • pp.631-640
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    • 2009
  • The highest priority of the cruise trip is the safety and comfort of its passengers. Though the cruise lines take every appropriate measure to ensure that their Passengers are safe and experience enjoyable vacations it is hard to fulfill all passenger's personnel requirement with limited number of crews. Generally, each passenger is issued an identification card which contains their digital photo and personal identification information on a magnetic strip that he or she must present when entering or leaving the ship. This technology allows the ship to know which Passengers and crew members are on board and which are not. However, this system has some limitations of functions and usage. To support each passenger as his or her personal liking, additional number of crews or some kind of new system is needed. In this paper, the crew support system based on sensor network using wireless and wired communication technologies was studied. To design the system, PLC(Power Line Communication) system and ZigBee based passenger location recognition, classification system has studied experimentally. By using this system, crews can serve passengers more closely and personally with less effort.

User Visit Certification System using Inaudible Frequency

  • Chung, Myoungbeom
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.7
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    • pp.57-64
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    • 2021
  • In this paper, we propose and test the efficacy of an easy-to-use user location certification system for public places that relies on frequencies outside the audible range for humans. The inaudible frequencies come in signal frequency between 18-20 kHz and are generated by general audio speaker. After an individual's smart device detects the signal frequency, it sends the frequency value, user's personal ID, and user's location to a system server that certifies the user's visit location currently. The system server then saves a user visit record and categorizes it by individual. To show the usefulness of this proposed system, we developed a user visit certification application for smart devices linked to a system server. We then conducted a user visit certification experiment using the proposed system, with the result showing 99.6% accuracy. For a comparison, we then held a user visit certification experiment using a QR code, which confirmed that our proposed system performs better than QR code location certification. This proposed system can thus provide restaurants and other facilities reliable user contact tracing and electronic visitor access lists in the age of COVID-19.

A Study on the Library Activation Plan Using Autonomous Objects (자율사물을 활용한 도서관 활성화 방안 연구)

  • Noh, Younghee;Shin, Youngji
    • Journal of Korean Library and Information Science Society
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    • v.52 no.1
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    • pp.27-54
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    • 2021
  • This study examines the overall contents of robots, drones, and autonomous driving that can be applied to libraries among autonomous objects, and proposes a plan that can be introduced and applied to libraries in the future based on this. As a result of the study, in the case of the building, robots and drones can be used to apply from collection inspection, collection transport, collection arrangement, collection classification, book location guidance, book recommendation, loan/return, library general guidance, and reference information service. Outside of the building, robots, drones, and autonomous vehicles can be used for book delivery service, book return service, and unmanned mobile libraries. This study is a basic research for the introduction and application of autonomous objects in the library, and follow-up studies such as perception survey and application model development for systematic introduction should be conducted in the future.

Implementation of a Helmet Azimuth Tracking System in the Vehicle (이동체 내의 헬멧 방위각 추적 시스템 구현)

  • Lee, Ji-Hoon;Chung, Hae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.4
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    • pp.529-535
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    • 2020
  • It is important to secure the driver's external field view in armored vehicles surrounded by iron armor for preparation for the enemy's firepower. For this purpose, a 360 degree rotatable surveillance camera is mounted on the vehicle. In this case, the key idea is to recognize the head of the driver wearing a helmet so that the external camera rotated in exactly the same direction. In this paper, we introduce a method that uses a MEMS-based AHRS sensor and a illuminance sensor to compensate for the disadvantages of the existing optical method and implements it with low cost. The key idea is to set the direction of the camera by using the difference between the Euler angles detected by two sensors mounted on the camera and the helmet, and to adjust the direction with illuminance sensor from time to time to remove the drift error of sensors. The implemented prototype will show the camera's direction matches exactly in driver's one.

Analysis for Impact of Individual Cooperation Activity on Small and Medium sized Firms' Innovation Performance in Daegu : The Moderating Effect of Technological Capability (대구 중소기업의 혁신성과에 미치는 개별 협력 활동의 영향 분석: 기술역량의 조절효과)

  • Kang, Seok-Min
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.404-413
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    • 2021
  • Small and medium sized firms(SMFs) would form the technology cooperation network with external firms and institutions of owning a variety of technology and knowledge, and according to resource based theory, forming cooperation network is another resource in uncertain business environment. Unlike the related studies, this study examined the effect of individual cooperation activity on innovation performance for SMFs located in Taegu region, and investigated the moderating effect of technology capability in the relationships between individual cooperation activity and innovation performance. In the empirical results, only cooperation research development positively affected innovation performance, and technology capability moderated the relationships between individual cooperation activity and innovation performance. The empirical findings imply that SMFs should do cooperation research development as an intangible asset to overcome the obstacle of development resulted from limited resources, and that SMFs should increase the impact of individual cooperation activity as promoting technology capability.

The AI Promotion Strategy of Korea Defense for the AI Expansion in Defense Domain (국방분야 인공지능 저변화를 위한 대한민국 국방 인공지능 추진전략)

  • Lee, Seung-Mok;Kim, Young-Gon;An, Kyung-Soo
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.59-73
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    • 2021
  • Recently, artificial intelligence has spread rapidly and popularized and expanded to the voice recognition personal service sector, and major countries have established artificial intelligence promotion strategies, but in the case of South Korea's defense domain, its influence is low with a geopolitical location with North Korea. This paper presents a total of six strategies for promoting South Korea's defense artificial intelligence, including establishing roadmaps, securing manpower, installing the artificial intelligence base, and strengthening cooperation among stakeholders in order to increase the impact of South Korea's defense artificial intelligence and successfully promote artificial intelligence. These suggestions are expected to establish the foundation for expanding the base of artificial intelligence.

Semantic Segmentation of Drone Images Based on Combined Segmentation Network Using Multiple Open Datasets (개방형 다중 데이터셋을 활용한 Combined Segmentation Network 기반 드론 영상의 의미론적 분할)

  • Ahram Song
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.967-978
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    • 2023
  • This study proposed and validated a combined segmentation network (CSN) designed to effectively train on multiple drone image datasets and enhance the accuracy of semantic segmentation. CSN shares the entire encoding domain to accommodate the diversity of three drone datasets, while the decoding domains are trained independently. During training, the segmentation accuracy of CSN was lower compared to U-Net and the pyramid scene parsing network (PSPNet) on single datasets because it considers loss values for all dataset simultaneously. However, when applied to domestic autonomous drone images, CSN demonstrated the ability to classify pixels into appropriate classes without requiring additional training, outperforming PSPNet. This research suggests that CSN can serve as a valuable tool for effectively training on diverse drone image datasets and improving object recognition accuracy in new regions.

Ultrasensitive Crack-based Mechanosensor Inspired by Spider's Sensory Organ (거미의 감각기관을 모사한 초민감 균열기반 진동압력센서)

  • Suyoun Oh;Tae-il Kim
    • Journal of the Microelectronics and Packaging Society
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    • v.31 no.1
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    • pp.1-6
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    • 2024
  • Spiders detect even tiny vibrations through their vibrational sensory organs. Leveraging their exceptional vibration sensing abilities, they can detect vibrations caused by prey or predators to plan attacks or perceive threats, utilizing them for survival. This paper introduces a nanoscale crack-based sensor mimicking the spider's sensory organ. Inspired by the slit sensory organ used by spiders to detect vibrations, the sensor with the cracks detects vibrations and pressure with high sensitivity. By controlling the depth of these cracks, they developed a sensor capable of detecting external mechanical signals with remarkable sensitivity. This sensor achieves a gauge factor of 16,000 at 2% strain with an applied tensile stress of 10 N. With high signal-to-noise ratio, it accurately recognizes desired vibrations, as confirmed through various evaluations of external force and biological signals (speech pattern, heart rate, etc.). This underscores the potential of utilizing biomimetic technology for the development of new sensors and their application across diverse industrial fields.

Machine Learning Based MMS Point Cloud Semantic Segmentation (머신러닝 기반 MMS Point Cloud 의미론적 분할)

  • Bae, Jaegu;Seo, Dongju;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.939-951
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    • 2022
  • The most important factor in designing autonomous driving systems is to recognize the exact location of the vehicle within the surrounding environment. To date, various sensors and navigation systems have been used for autonomous driving systems; however, all have limitations. Therefore, the need for high-definition (HD) maps that provide high-precision infrastructure information for safe and convenient autonomous driving is increasing. HD maps are drawn using three-dimensional point cloud data acquired through a mobile mapping system (MMS). However, this process requires manual work due to the large numbers of points and drawing layers, increasing the cost and effort associated with HD mapping. The objective of this study was to improve the efficiency of HD mapping by segmenting semantic information in an MMS point cloud into six classes: roads, curbs, sidewalks, medians, lanes, and other elements. Segmentation was performed using various machine learning techniques including random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and gradient-boosting machine (GBM), and 11 variables including geometry, color, intensity, and other road design features. MMS point cloud data for a 130-m section of a five-lane road near Minam Station in Busan, were used to evaluate the segmentation models; the average F1 scores of the models were 95.43% for RF, 92.1% for SVM, 91.05% for GBM, and 82.63% for KNN. The RF model showed the best segmentation performance, with F1 scores of 99.3%, 95.5%, 94.5%, 93.5%, and 90.1% for roads, sidewalks, curbs, medians, and lanes, respectively. The variable importance results of the RF model showed high mean decrease accuracy and mean decrease gini for XY dist. and Z dist. variables related to road design, respectively. Thus, variables related to road design contributed significantly to the segmentation of semantic information. The results of this study demonstrate the applicability of segmentation of MMS point cloud data based on machine learning, and will help to reduce the cost and effort associated with HD mapping.

Perspectives on the Characteristics and Meanings as of a Traditional Ecological Landscape as Dangsan Forest and Dangsan Ritual Place in Seoseong-ri, Wando-gun (완도군 서성리 당산숲.당산제 공간의 전통생태경관적 특성 및 의미 고찰)

  • Choi, Jai-Ung;Kim, Dong-Yeob;Kim, Mi-Heui;Jo, Lock-Whan
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.30 no.1
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    • pp.135-145
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    • 2012
  • Traditional village forests called Dangsan forests and Bibo forests in Korea represent an unique cultural landscape with a history of more than several hundred years. Feng-shui forest in China, Satoyama and Shinto shrine forest in Japan are recognized internationally as 'traditional ecological landscapes'. Dangsan forests and Bibo forests have been preserved through generations in the villages, and are no less valuable than Feng-shui forest, and Satoyama. However, the names of Dangsan forest and Bibo forest have not been well recognized worldwide. Dangsan forest in Seoseong-ri, Wando-gun is located on a mountain slope at a riparian forest. It consists of an evergreen broadleaf forest and Carpinus laxiflora forest. The characteristics of Dangsan forest in Seoseong-ri could be found at 10 sacrifice offering places. Two Dangsan trees on the coastal area are included in the sacrifice offering places. Cultural heritage can retain their value when they are fully sustained. Additional construction, demolition or modification should be banned. Furthermore, all means must be taken to facilitate the preservation of monuments and the value and meanings pertaining to them should not be distorted. In a respect of authenticity, Dangsan forest in Seoseong-ri, Wando-gun seems to have original Dangsan culture based on animism with a philosophic background, where a religious service for the mountain god is held at rock of mountain god, and Dangsan ritual is held at shrine on January 8 at 4:00 am by lunar calendar. Relating to the conservation and management of cultural heritage in international discussion, the importance is that whether there is sustainability on the right to the enjoyment of cultural heritage. Dangsan forest in Seoseong-ri is leaved alone to the public. The forest need a social mechanism to support the recovery of deformed shrine and to heighten public awareness of Dangsan forest in order to claim the value as a unique traditional ecological landscape in Korea.