• Title/Summary/Keyword: 영상처리개발환경

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Response of Structural, Biochemical, and Physiological Vegetation Indices Measured from Field-Spectrometer and Multi-Spectral Camera Under Crop Stress Caused by Herbicide (마늘의 제초제 약해에 대한 구조적, 생화학적, 생리적 계열 식생지수 반응: 지상분광계 및 다중분광카메라를 활용하여)

  • Ryu, Jae-Hyun;Moon, Hyun-Dong;Cho, Jaeil;Lee, Kyung-do;Ahn, Ho-yong;So, Kyu-ho;Na, Sang-il
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1559-1572
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    • 2021
  • The response of vegetation under the crop stress condition was evaluated using structural, biochemical, and physiological vegetation indices based on unmanned aerial vehicle (UAV) images and field-spectrometer data. A high concentration of herbicide was sprayed at the different growth stages of garlic to process crop stress, the above ground dry matter of garlic at experimental area (EA) decreased about 46.2~84.5% compared to that at control area. The structural vegetation indices clearly responded to these crop damages. Spectral reflectance at near-infrared wavelength consistently decreased at EA. Most biochemical vegetation indices reflected the crop stress conditions, but the meaning of physiological vegetation indices is not clear due to the effect of vinyl mulching. The difference of the decreasing ratio of vegetation indices after the herbicide spray was 2.3% averagely in the case of structural vegetation indices and 1.3~4.1% in the case of normalization-based vegetation indices. These results meant that appropriate vegetation indices should be utilized depending on the types of crop stress and the cultivation environment and the normalization-based vegetation indices measured from the different spatial scale has the minimized difference.

System Development for Measuring Group Engagement in the Art Center (공연장에서 다중 몰입도 측정을 위한 시스템 개발)

  • Ryu, Joon Mo;Choi, Il Young;Choi, Lee Kwon;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.20 no.3
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    • pp.45-58
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    • 2014
  • The Korean Culture Contents spread out to Worldwide, because the Korean wave is sweeping in the world. The contents stand in the middle of the Korean wave that we are used it. Each country is ongoing to keep their Culture industry improve the national brand and High added value. Performing contents is important factor of arousal in the enterprise industry. To improve high arousal confidence of product and positive attitude by populace is one of important factor by advertiser. Culture contents is the same situation. If culture contents have trusted by everyone, they will give information their around to spread word-of-mouth. So, many researcher study to measure for person's arousal analysis by statistical survey, physiological response, body movement and facial expression. First, Statistical survey has a problem that it is not possible to measure each person's arousal real time and we cannot get good survey result after they watched contents. Second, physiological response should be checked with surround because experimenter sets sensors up their chair or space by each of them. Additionally it is difficult to handle provided amount of information with real time from their sensor. Third, body movement is easy to get their movement from camera but it difficult to set up experimental condition, to measure their body language and to get the meaning. Lastly, many researcher study facial expression. They measures facial expression, eye tracking and face posed. Most of previous studies about arousal and interest are mostly limited to reaction of just one person and they have problems with application multi audiences. They have a particular method, for example they need room light surround, but set limits only one person and special environment condition in the laboratory. Also, we need to measure arousal in the contents, but is difficult to define also it is not easy to collect reaction by audiences immediately. Many audience in the theater watch performance. We suggest the system to measure multi-audience's reaction with real-time during performance. We use difference image analysis method for multi-audience but it weaks a dark field. To overcome dark environment during recoding IR camera can get the photo from dark area. In addition we present Multi-Audience Engagement Index (MAEI) to calculate algorithm which sources from sound, audience' movement and eye tracking value. Algorithm calculates audience arousal from the mobile survey, sound value, audience' reaction and audience eye's tracking. It improves accuracy of Multi-Audience Engagement Index, we compare Multi-Audience Engagement Index with mobile survey. And then it send the result to reporting system and proposal an interested persons. Mobile surveys are easy, fast, and visitors' discomfort can be minimized. Also additional information can be provided mobile advantage. Mobile application to communicate with the database, real-time information on visitors' attitudes focused on the content stored. Database can provide different survey every time based on provided information. The example shown in the survey are as follows: Impressive scene, Satisfied, Touched, Interested, Didn't pay attention and so on. The suggested system is combine as 3 parts. The system consist of three parts, External Device, Server and Internal Device. External Device can record multi-Audience in the dark field with IR camera and sound signal. Also we use survey with mobile application and send the data to ERD Server DB. The Server part's contain contents' data, such as each scene's weights value, group audience weights index, camera control program, algorithm and calculate Multi-Audience Engagement Index. Internal Device presents Multi-Audience Engagement Index with Web UI, print and display field monitor. Our system is test-operated by the Mogencelab in the DMC display exhibition hall which is located in the Sangam Dong, Mapo Gu, Seoul. We have still gotten from visitor daily. If we find this system audience arousal factor with this will be very useful to create contents.

A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM) (국방 빅데이터/인공지능 활성화를 위한 다중메타데이터 저장소 관리시스템(MRMM) 기술 연구)

  • Shin, Philip Wootaek;Lee, Jinhee;Kim, Jeongwoo;Shin, Dongsun;Lee, Youngsang;Hwang, Seung Ho
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.169-178
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    • 2020
  • The reductions of troops/human resources, and improvement in combat power have made Korean Department of Defense actively adapt 4th Industrial Revolution technology (Artificial Intelligence, Big Data). The defense information system has been developed in various ways according to the task and the uniqueness of each military. In order to take full advantage of the 4th Industrial Revolution technology, it is necessary to improve the closed defense datamanagement system.However, the establishment and usage of data standards in all information systems for the utilization of defense big data and artificial intelligence has limitations due to security issues, business characteristics of each military, anddifficulty in standardizing large-scale systems. Based on the interworking requirements of each system, data sharing is limited through direct linkage through interoperability agreement between systems. In order to implement smart defense using the 4th Industrial Revolution technology, it is urgent to prepare a system that can share defense data and make good use of it. To technically support the defense, it is critical to develop Multi Repository Meta-Data Management (MRMM) that supports systematic standard management of defense data that manages enterprise standard and standard mapping for each system and promotes data interoperability through linkage between standards which obeys the Defense Interoperability Management Development Guidelines. We introduced MRMM, and implemented by using vocabulary similarity using machine learning and statistical approach. Based on MRMM, We expect to simplify the standardization integration of all military databases using artificial intelligence and bigdata. This will lead to huge reduction of defense budget while increasing combat power for implementing smart defense.

Fermented Extracts of Korean Mistletoe with Lactobacillus (FKM-110) Stimulate Macrophage and Inhibit Tumor Metastasis (유산균으로 발효된 한국산 겨우살이 추출물의 Macrophage 자극에 의한 면역학적 활성화와 종양전이 억제효과)

  • Yoon, Taek-Joon;Yoo, Yung-Choon;Kang, Tae-Bong;Lee, Kwan-Hee;Kwak, Jin-Hwan;Baek, Young-Jin;Huh, Chul-Sung;Kim, Jong-Bae
    • Korean Journal of Food Science and Technology
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    • v.31 no.3
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    • pp.838-847
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    • 1999
  • Based on the results that the extract of Korean mistletoe (KM-110) has immunological and anti-tumor activities and its main component is lectin called KML-U, this study was carried out to investigate the immunostimulatory and anti-tumor activities of FKM-110, fermented KM-110 with lactobacillus, as a basic study for the development of functional food with anti-tumor activity. The amount of lectin after fermentation determined by ELISA was varied with the fermentation time and kinds of lactobacillus. Cytotoxic effects of FKM-110 on the various tumor cells was significant and dependent on the concentration of KML-U and the kinds of lactobacillus. FKM-110 stimulated macrophage and resulted in the secretion of some cytokines such as IL-1 and $IFN-{\gamma}$, but this effect was not correlated with the concentration of lectin. FKM-110 fermented with Marshall Lactobacillus casei showed the most potent antitumor activity in experimental and spontaneous metastasis models. When yoghurt produced with KM-110, Marshall Lactobacillus casei and skim milk was administered orally to mouse, the metastasis of tumor cells was significantly inhibited.

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