• Title/Summary/Keyword: I-LEARN

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Online Multi-Object Tracking by Learning Discriminative Appearance with Fourier Transform and Partial Least Square Analysis

  • Lee, Seong-Ho;Bae, Seung-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.2
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    • pp.49-58
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    • 2020
  • In this study, we solve an online multi-object problem which finds object states (i.e. locations and sizes) while conserving their identifications in online-provided images and detections. We handle this problem based on a tracking-by-detection approach by linking (or associating) detections between frames. For more accurate online association, we propose novel online appearance learning with discrete fourier transform and partial least square analysis (PLS). We first transform each object image into a Fourier image in order to extract meaningful features on a frequency domain. We then learn PLS subspaces which can discriminate frequency features of different objects. In addition, we incorporate the proposed appearance learning into the recent confidence-based association method, and extensively compare our methods with the state-of-the-art methods on MOT benchmark challenge datasets.

Problem Analysis and Recommendations of CPU Contents in Korean Middle School Informatics Textbooks (중학교 정보 교과서에 제시된 중앙처리장치 내용 문제점 분석 및 개선 방안)

  • Lee, Sangwook;Suh, Taeweon
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.4
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    • pp.143-150
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    • 2013
  • The School Curriculum amend in 2007 mandates the contents from which students can learn the principles and concepts of computer science. Computer Science is one of the most rapidly changing subjects, and the Informatics textbook should accurately explain the basic principles and concepts based on the latest technology. However, we found that the middle school textbooks in circulation lack accuracy and consistency in describing CPU. This paper attempted to discover the root-cause of the fallacy and suggest timely and appropriate explanation based on the historical and technical analysis. According to our study, it is appropriate to state that CPU is composed of datapath and control unit. The Datapath performs operations on data and holds data temporarily, and it is composed of the hardware components such as memory, register, ALU and adder. The Control unit decides the operation types of datapath elements, main memory and I/O devices. Nevertheless, considering the technological literacy of middle school students, we suggest the terms, 'arithmetic part' and 'control part' instead of datapath and control unit.

The Necessity for a Trauma Surgeon and the Trauma Surgeon's Role in the Trauma Care System (외과의사 관점에서 외상전문의의 필요성과 과제)

  • Lee, Kug Jong
    • Journal of Trauma and Injury
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    • v.21 no.1
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    • pp.1-7
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    • 2008
  • When man first walked on this planet, injury must have been a close encounter of the first kind. The outbreak of World War I, during a period of rapid scientific growth in the basic sciences, demonstrated the need to develop better methods of care for the wounded, methods that were later applicable to the civilian population. Trauma is a multisystem disease and, as such, benefits from almost any advance in medical science. As we learn more about the physiology and the biochemistry of various organ systems, we can provide better management for trauma victims. Improved imaging techniques, better appreciation of physiologic tolerance, and increased understanding of the side effects of specific surgical procedures have combined to reduce operative intervention as a component of trauma patient care. On the other hand, because of this rapid development of medical science, only a few doctors still have the ability to treat multisystem injuries because almost doctor has his or her specialty, which means a doctor tends to see only patients with diagnoses in the doctor's specialty. Trauma Surgeons are physicians who have completed the typical general surgery residency and who usually continue with a one to two year fellowship leading to additional board certification in Surgical Critical Care. It is important to note that trauma surgeons do not need to do all kinds of operations, such as neurosurgery and orthopedic surgery. Trauma surgeons are not only a surgeon but also general medical practitioners who are very good at critical care and coordination of patient. In order to achieve the best patient outcomes, trauma surgeons should be involved in prehospital Emergency Medical Services, the Trauma Resuscitation Room, the Operating Room, the Surgical Intensive Care and Trauma Unit, the Trauma Ward, the Rehabilitation Department, and the Trauma Outpatient Clinic. In conclusion, according to worldwide experience and research, the trauma surgeon is the key factor in the trauma care system, so the trauma surgeon should receive strong support to accomplish his or her role successfully.

An Analysis of Pharmacy Students' Perceptions and Evaluations after Community Pharmacy Practice Experiences (지역약국 실무실습 후 실습에 대한 약학대학 학생들의 인식과 평가에 대한 분석)

  • Yang, Young-Mo;Lee, Jieun;Lee, Ik-Soo;Choi, Eun Joo
    • YAKHAK HOEJI
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    • v.58 no.3
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    • pp.208-222
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    • 2014
  • Pharmacy practice experiences play a central role in improving the professional abilities and roles of student pharmacists in the changed '2+4'-year curricula of Korean pharmacy schools. For the first 3 years, the students usually learn theoretical areas, and for the last year, they apply learned knowledge to actual pharmacy practice environments. Especially, in order for community pharmacy practice experiences to become firmly established, it is important to evaluate students' feedbacks of community pharmacy practice experiences. However, there have been little studies regarding this area in Korea. This study was to analyze pharmacy students' perceptions and evaluations after community pharmacy practice experiences. The self-reported questionnaire using a 5-point Likert scale was utilized to collect data from the pharmacy students completing community pharmacy practice experiences. Total 62 students responded to the survey questionnaires. The average of students' evaluations of preceptors for overall evaluation items was 4.31 whereas that of student evaluations of practice sites for them was 4.03. The self-evaluations of students' expertises were mostly positive except for that of populations care. The evaluation item 'I believe this experience will help me be a better pharmacist' received the highest satisfaction. According to the results regarding open-ended questions, the students learned the needs for academic motivations and self-developments, and they thought that the curriculum should be standardized and systematized in order to improve contents for community pharmacy practice experiences. Furthermore, based on these results, the guidelines of community pharmacy practice experiences should be modified, and researches on the validation and evaluations of the modified guidelines should be implemented.

A Study on the User Experience for Airline ticket Reservation Service -Focusing on Skyscanner App- (항공권 예매 서비스 사용자 경험 연구 -스카이스캐너 앱을 중심으로-)

  • Park, Seojin;Kim, Seung-In
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.195-200
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    • 2019
  • The purpose of this study is to investigate the phenomenon of user's use of services, focusing on Skyscanner apps, and to suggest improvements to provide better user experience. The service described in this paper is complicated in booking ticket and deficient its usability at a certain age. As a result, three point of improvement is derived. Provide clear information and countermeasures. And make operating procedure be convenient to learn. It is significant that this study suggested ways to improve ticket reservation services through Skyscanner, a major online ticket reservation service. In the follow-up study, I expected that this study will help the various business models improve its system such as UI design, improvement of information structure, and Skyscanner for silver generation.

Development and application of the program for students with under-achievement of math in high school - On the case of ADDIE model - (고등학교 수학 학습부진학생을 위한 프로그램 개발 및 적용 -ADDIE 모형 적용 사례-)

  • Oh, Taek-Keun
    • The Mathematical Education
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    • v.57 no.4
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    • pp.329-352
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    • 2018
  • This study analyzed each process of demand analysis(A), design(D), development(D), implementation(I) and evaluation(E) of the program to support mathematics learning of students with under-achievement of math in high school. To analyze the demand, a survey was conducted on 235 high school math teachers and 334 high school students who were under-achieved in mathematics. To design and develope the program, this study linked middle school math to high school math so that the students with poor math learning could easily participate in mathematics learning. The programs developed in this study were implemented in three high schools, where separate classes were organized and run for students with poor math learning. The evaluation of the programs developed in this study was done in two ways. One was a quantitative evaluation conducted by five experts, and the other was a qualitative evaluation conducted through interviews with teachers and students participating in the program. This study found that students with poor mathematics learning were more motivated to learn, started to do mathematics, and encouraged to be confident when using learning materials that included easy problems and detailed solutions that they could solve themselves. From these results, the following three implications can be derived in developing a program to support students who are experiencing poor mathematics learning in high school. First, we should develop learning materials that link middle school mathematics to high school mathematics so that students can supplement middle school mathematics related to high school mathematics. Second, we need to develop learning materials that include detailed solutions to basic examples and include homogeneous problems that can be solved while looking at the basic example's solution process. Third, we should avoid the challenge of asking students who are under-achieving to respond too openly.

Performance analysis in automatic modulation classification based on deep learning (딥러닝 기반 자동 변조 인식 성능 분석)

  • Kang, Jong-Jin;Kim, Jae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.3
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    • pp.427-432
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    • 2021
  • In this paper, we conduct performance analysis in automatic modulation classification of unknown communication signal to identify its modulation types based on deep neural network. The modulation classification performance was verified using time domain digital sample data of the modulated signal, frequency domain data to which FFT was applied, and time and frequency domain mixed data as neural network input data. For 11 types of analog and digitally modulated signals, the modulation classification performance was verified in various SNR environments ranging from -20 to 18 dB and reason for false classification was analyzed. In addition, by checking the learning speed according to the type of input data for neural network, proposed method is effective for constructing an practical automatic modulation recognition system that require a lot of time to learn.

A Study on the Musical Iconography Consideration of Yanggeum (양금의 음악도상학적 고찰)

  • Lee, You-Jung
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.2
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    • pp.85-95
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    • 2020
  • An Instruments are not only for musical usage, but also for historical, social and cultural contexts. The yanggeum instrument began to be played in Persia before the 10th century and is played in various parts of the world in the 21st century. It has been handed over for many years and played creatively beyond the boundaries of the region. In this paper, we will learn about the meaning of Korean traditional yanggeum, which preserves its original shape without any change in form or technique, through a method of musical iconography. As a method of musical Iconography for the musical instruments, we examined the data on the drawings and compared it with the literature, focusing on the origin, form and performance of the instruments. I hope that this study will not only provide a new perspective on instrument research, but also help understand the historical, social and cultural implications of the instrument. It is hoped that research on musical instruments will be done in many different ways and that the realm of musical science will be approached widely.

Development of a New Direct Marketing Channel in the Chinese Rural Market: The Case of Hongfu Fertilizer Company

  • Li, Dao-sheng;Hong, Jinhwan
    • Asia Marketing Journal
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    • v.15 no.2
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    • pp.29-47
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    • 2013
  • Distribution channel decisions involve long-term commitments with other firms that are very difficult to change or replace. In particular, marketing channel decisions in emerging markets are much more complicated due to unfamiliar conditions and problems such as lack of market data and distribution systems. Therefore, when a company considers changing or introducing a marketing channel in an area, it is much more difficult to judge its effectiveness in an emerging market than in a developed market. In this study, we investigate the development process of a new direct marketing channel of Hongfu Fertilizer Company (hereafter Hongfu), a medium-sized Chinese fertilizer manufacturer, and propose an approach to test the feasibility of this new marketing channel in the Chinese rural market. We measure the effectiveness of Hongfu's new marketing channel from two perspectives: i) from customers' perspective through direct responses of farmers, which showed that a new channel can increase the convenience and lower the purchasing costs for the farmers, and ii) from the company's perspective, by calculating the incremental profit of the company using the expansion factor (T/Q) method, which suggested that the execution of Hongfu's strategy to expand a new marketing channel will result in an increase in profits. The results of this study contribute to the development of a methodology to test the feasibility of a new direct marketing channel in the emerging markets such as the Chinese rural market. Traditional and indirect distribution channels in emerging markets are generally not very efficient and difficult to change. Especially, in emerging markets, like the Chinese rural market, the methods of testing channel feasibility must be different from that of developed markets. Considering market situations, market experiments can be more effective then systematic market surveys in testing channel feasibility in emerging markets. This study implies that managers must learn to cope with a transition from the traditional marketing channels in emerging markets. With the development in farmers' understanding of marketing concept, the transition from traditional marketing channel is unavoidable for all firms. Farmers in China are generally very conservative, however, their buying behaviors are changing. Therefore, fertilizer companies should try to adjust in accordance with farmers' demand characteristics that the efforts to meet the economic needs of farmers with new marketing channels as well as trust building are critical in the near future.

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Neural network with occlusion-resistant and reduced parameters in stereo images (스테레오 영상에서 폐색에 강인하고 축소된 파라미터를 갖는 신경망)

  • Kwang-Yeob Lee;Young-Min Jeon;Jun-Mo Jeong
    • Journal of IKEEE
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    • v.28 no.1
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    • pp.65-71
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    • 2024
  • This paper proposes a neural network that can reduce the number of parameters while reducing matching errors in occluded regions to increase the accuracy of depth maps in stereo matching. Stereo matching-based object recognition is utilized in many fields to more accurately recognize situations using images. When there are many objects in a complex image, an occluded area is generated due to overlap between objects and occlusion by background, thereby lowering the accuracy of the depth map. To solve this problem, existing research methods that create context information and combine it with the cost volume or RoIselect in the occluded area increase the complexity of neural networks, making it difficult to learn and expensive to implement. In this paper, we create a depthwise seperable neural network that enhances regional feature extraction before cost volume generation, reducing the number of parameters and proposing a neural network that is robust to occlusion errors. Compared to PSMNet, the proposed neural network reduced the number of parameters by 30%, improving 5.3% in color error and 3.6% in test loss.