• Title/Summary/Keyword: MIR System

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Genetic diversity, structure analysis and relationship in soybean mutants as revealed by TRAP marker

  • Kim, Dong-Gun;Lyu, Jae-Il;Lee, Min-Kyu;Kim, Jung Min;Hong, Min Jeong;Kim, Jin-Baek;Bae, Chang-Hyu;Kwon, Soon-Jae
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2018.10a
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    • pp.43-43
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    • 2018
  • Mutation breeding by radiation is useful for improving various crop species. Up to now, a total of 170 soybean mutant varieties have been released in the world, which is the second most registered varieties after rice. Despite the economic importance of soybean, there have been no TRAP marker system studies on genetic relationships between/among mutant lines. To develop a strategy of Mutant Diversity Pool (MDP) conservation, a study on the genetic diversity of 210 soybean mutant lines (8 cultivars and 202 mutants) was performed through a TRAP analysis. Sixteen primer combinations amplified a total of 551 fragments. The highest (84.00%) and lowest (32.35%) polymorphism levels were obtained with primers MIR157B + Ga5 and B14G14B + Ga3, respectively. The mean PIC values 0.15 varied among the primer combination ranging from 0.07 in B14G14B + Sal2 to 0.23 in MIR157B + Sa4. Phylogenetic, principal component analysis (PCA) and structure analysis indicated that the 210 lines belong to four groups based on the 16 combination TRAP markers. AMOVA showed 21.0% and 79.0% variations among and within the population, respectively. Overall, the genetic similarity of each cultivar and its mutants were higher than within other mutant populations. Our results suggest that the TRAP marker system may be useful for assessing the genetic diversity among soybean mutants and help to improve our knowledge of soybean mutation breeding.

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A Study on the Application Model of AI Convergence Services Using CCTV Video for the Advancement of Retail Marketing (리테일 마케팅 고도화를 위한 CCTV 영상 데이터 기반의 AI 융합 응용 서비스 활용 모델 연구)

  • Kim, Jong-Yul;Kim, Hyuk-Jung
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.197-205
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    • 2021
  • Recently, the retail industry has been increasingly demanding information technology convergence and utilization to respond to various external environmental threats such as COVID-19 and to be competitive using AI technologies, but there is a very lack of research and application services. This study is a CCTV video data-driven AI application case study, using CCTV image data collection in retail space, object detection and tracking AI model, time series database to store real-time tracked objects and tracking data, heatmap to analyze congestion and interest in retail space, social access zone.We present the orientation and verify its usability in the direction designed through practical implementation.

Contact problem for a stringer plate weakened by a periodic system of variable width slots

  • Mir-Salim-zada, Minavar V.
    • Structural Engineering and Mechanics
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    • v.62 no.6
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    • pp.719-724
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    • 2017
  • We consider an elastic isotropic plate reinforced by stringers and weakened by a periodic system of rectilinear slots of variable width. The variable width of the slots is comparable with elastic deformations. We study the case when the slots faces get in contact at some area. Determination of parameters characterizing the partial closure of variable width slots is reduced to the solution of a singular integral equation. The action of the stringers is replaced with unknown equivalent concentrated forces at the points of their connection with the plate. The contact stresses and contact zone sizes are found from the solution of the singular integral equation.

Designing emotional model and Ontology based on Korean to support extended search of digital music content (디지털 음악 콘텐츠의 확장된 검색을 지원하는 한국어 기반 감성 모델과 온톨로지 설계)

  • Kim, SunKyung;Shin, PanSeop;Lim, HaeChull
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.43-52
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    • 2013
  • In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

Stability Enhancement of a Hybrid Micro-grid System in Grid Fault Condition

  • Ambia, Mir Nahidul;Al-Durra, Ahmed;Caruana, Cedric;Muyeen, S.M.
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.2
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    • pp.225-231
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    • 2013
  • Low voltage ride through capability augmentation of a hybrid micro-grid system is presented in this paper which reflects enhanced reliability in the system. The control scheme involves parallel connected multiple ac-dc bidirectional converters. When the micro-grid system is subjected to a severe voltage dip by any transient fault single power converter may not be able to provide necessary reactive power to overcome the severe voltage dip. This paper discusses the control strategy of additional power converter connected in parallel with main converter to support extra reactive power to withstand the severe voltage dip. During transient fault, when the terminal voltage crosses 90% of its pre-fault value, additional converter comes into operation. With the help of additional power converter, the micro-grid system withstands the severe voltage fulfilling the grid code requirements. This multiple converter scheme provides the micro-grid system the capability of low voltage ride through which makes the system more reliable and stable.

Automatic Mirror Adjustment Systems Using the Location of the Driver`s Pupils (운전자 눈동자 위치를 이용한 이러 자동 조절 시스템)

  • No, Gwang-Hyeon;Park, Gi-Hyeon;Jo, Jun-Su;Han, Min-Hong
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.6
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    • pp.523-531
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    • 2001
  • This paper describes and automatic mirror adjustment system that rotates a pair of side mirrors and the room mirror of a car to the optimal position for a driver by using the locating of the driver\`s pupils. A stereo vision system measures 3D coordinates of a pair pupils by analyzing the input images of stereo B/W CCD cameras mounted on the instrument panel. this system determines the position angle of each mir-ror on the basis of information about the location of the pupils and rotates each mirror to the appropriate po-sition by mirror actuators. The vision system can detect the driver\`s pupils regardless of whether it is day-time or nighttime by virtue of an infrared light source. information about the pair of nostrils in used to im- prove the correctness of pupil detection. This system can adjust side mirrors and the room mirror automati- cally and rapidly by a simple interface regardless of driver replacement of driver\`s posture. Experiment has shown this to be a new mirror adjustment system that can make up for the weak points of previous mirror adjustment systems.

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Application of Permanent Magnet Synchronous Machines in Automotive Steering Systems

  • Sebastian Tomy;Islam Mohammad S.;Mir Sayeed
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • v.5B no.2
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    • pp.111-117
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    • 2005
  • Several of the conventional hydraulic systems in an automobile are now being replaced by more reliable and energy efficient electromechanical systems. Developments in the brushless permanent magnet machine and in the power and control electronics are the key factors responsible for this transformation. These applications brought out some performance challenges associated with the brushless machines. This paper will focus on these challenges to be able to use these machines in such applications. In terms of replacing hydraulic systems with electromechanical systems, steering system is leading the way in automobiles. Currently, steering systems using Electro-hydraulically assisted systems and Electrically assisted (Electromechanical) systems are in the market. Though the Electrically assisted power steering has several advantages over other systems, certain performance and cost challenges delayed the penetration of such systems in to the market.

EFFECT OF NEGATIVE FEEDBACK LOOP WITH NRF1 AND MIR-378 OF NONALCOHOLIC FATTY LIVER DISEASE: A MATHEMATICAL MODELING APPROACH

  • Lee, SiEun;Shin, Kiyeon
    • East Asian mathematical journal
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    • v.36 no.3
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    • pp.365-376
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    • 2020
  • Nonalcoholic fatty liver is a type of fatty liver in which fat accumulates in the liver without alcohol. In the accumulation, Nrf1 and miR-378 genes play very important role, so called negative feedback loop, in which the two genes suppress the other's production. In other words, Nrf1 activates fatty acid oxidation which promotes fat consumption in the liver, while miR-378 deactivates fatty acid oxidation. Thus, both genes regulate nonalcoholic fatty liver. In this paper, the negative feedback loop of Nrf1 and miR-378 are expressed by a system of ordinary differential equations. And, bifurcation simulation shows the change in the amount of each gene with significant parameter range changes. Bifurcation simulation has also used to determine the thresholds for transit between disease and steady state.

Detection of Rice Disease Using Bayes' Classifier and Minimum Distance Classifier

  • Sharma, Vikas;Mir, Aftab Ahmad;Sarwr, Abid
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.17-24
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    • 2020
  • Rice (Oryza Sativa) is an important source of food for the people of our country, even though of world also .It is also considered as the staple food of our country and we know agriculture is the main source country's economy, hence the crop of Rice plays a vital role over it. For increasing the growth and production of rice crop, ground-breaking technique for the detection of any type of disease occurring in rice can be detected and categorization of rice crop diseases has been proposed in this paper. In this research paper, we perform comparison between two classifiers namely MDC and Bayes' classifiers Survey over different digital image processing techniques has been done for the detection of disease in rice crops. The proposed technique involves the samples of 200 digital images of diseased rice leaf images of five different types of rice crop diseases. The overall accuracy that we achieved by using Bayes' Classifiers and MDC are 69.358 percent and 81.06 percent respectively.

Security Attacks and Challenges of VANETs : A Literature Survey

  • Quyoom, Abdul;Mir, Aftab Ahmad;Sarwar, Abid
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.45-54
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    • 2020
  • This paper presented a brief introduction along with various wireless standards which provide an interactive way of interaction among the vehicles and provides effective communication in VANET. Security issues such as confidentiality, authenticity, integrity, availability and non-repudiation, which aims to secure communication between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). A detailed discussion and analysis of various possible attacks based on security services are also presented that address security and privacy concern in VANETs. Finally a general analysis of possible challenges is mentioned. This paper can serve as a source and reference in building the new technique for VANETs.