• Title/Summary/Keyword: One-Shot systems

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Clustering-based Hierarchical Scene Structure Construction for Movie Videos (영화 비디오를 위한 클러스터링 기반의 계층적 장면 구조 구축)

  • Choi, Ick-Won;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.27 no.5
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    • pp.529-542
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    • 2000
  • Recent years, the use of multimedia information is rapidly increasing, and the video media is the most rising one than any others, and this field Integrates all the media into a single data stream. Though the availability of digital video is raised largely, it is very difficult for users to make the effective video access, due to its length and unstructured video format. Thus, the minimal interaction of users and the explicit definition of video structure is a key requirement in the lately developing image and video management systems. This paper defines the terms and hierarchical video structure, and presents the system, which construct the clustering-based video hierarchy, which facilitate users by browsing the summary and do a random access to the video content. Instead of using a single feature and domain-specific thresholds, we use multiple features that have complementary relationship for each other and clustering-based methods that use normalization so as to interact with users minimally. The stage of shot boundary detection extracts multiple features, performs the adaptive filtering process for each features to enhance the performance by eliminating the false factors, and does k-means clustering with two classes. The shot list of a result after the proposed procedure is represented as the video hierarchy by the intelligent unsupervised clustering technique. We experimented the static and the dynamic movie videos that represent characteristics of various video types. In the result of shot boundary detection, we had almost more than 95% good performance, and had also rood result in the video hierarchy.

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Feasibility of Interference Alignment for Reverse Duplex in MIMO Cellular Networks with One-side Base Cooperation (다중 안테나를 사용하는 단방향 기지국 협력 역 듀플렉스 셀룰러 네트워크의 간섭 정렬 타당성)

  • Kim, Kiyeon;Jeon, Sang-Woon;Yang, Janghoon;Kim, Dong Ku
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.2
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    • pp.273-284
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    • 2015
  • The feasibility conditions of interference alignment (IA) are analyzed for reverse duplex systems, in which one cell operates as downlink (DL) while the other cell operates as uplink (UL) assuming one-sid base station (BS) cooperation. Under general multiple-input and multiple-output (MIMO) antenna configurations, a necessary condition and a sufficient condition for one-shot linear IA are established, i.e., linear IA without symbol or time extension. In several example networks, optimal sum degrees of freedom (DoF) is characterized by the derived necessary condition and sufficient condition. For some special class of networks, a sufficient condition is established in a more compact expression, which also yields the necessary and sufficient condition. Simulation results demonstrate that the proposed IA does not only achieve larger DoF but also significantly improves the sum rate in the practical signal-to-noise ratio (SNR) regime.

Personal identification of the excavated ancient human bone through molecular-biological methods (분자생물학적 방법을 통한 출토인골의 개인 동정-사천 늑도 출토 인골과 민통선 민묘 출토 인골을 중심으로)

  • Seo, Min-Seok;Lee, Kyu-Shik;Chung, Yong-Jae;Lee, Myeong-Hui
    • 보존과학연구
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    • s.22
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    • pp.27-40
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    • 2001
  • DNA typing is often used to determine identity from human remains. Recently, the molecular biological analysis of ancient deposits has become possible since methods for the recovery of DNA conserved in bones or teeth from archaeological remains have been developed. In the field of archaeology, one of the most promising approaches is to identify the individuals present in a mass burial site. We performed nuclear DNA typing and mitochondrial DNA sequencing analysis based on PCR from a Korea ancient human remain excavated from Sa-chon Nuk-island and civilian access controlline(CACL). A femur bone were collected and successfully subjected to DNA extraction, quantification, PCR amplification, and subsequently typed for several shot tandem repeat(STR)loci. 4 types of STR systems used in this study were CTT multiplex(CSF1PO, TPOX, TH01), FFv multiplex(F13A01, FESFPS, vWA), Silver STRⅢ multiplex(D16S539, D7S820, D13S317), and amelogenin for sex determination. This studies are primarily concerned with the extraction, amplification, and DNA typing of ancient human bone DNA samples. Also, it is suggestive of importance about closely relationship between both fields of archaeology and molecular biology.

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Deep compression of convolutional neural networks with low-rank approximation

  • Astrid, Marcella;Lee, Seung-Ik
    • ETRI Journal
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    • v.40 no.4
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    • pp.421-434
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    • 2018
  • The application of deep neural networks (DNNs) to connect the world with cyber physical systems (CPSs) has attracted much attention. However, DNNs require a large amount of memory and computational cost, which hinders their use in the relatively low-end smart devices that are widely used in CPSs. In this paper, we aim to determine whether DNNs can be efficiently deployed and operated in low-end smart devices. To do this, we develop a method to reduce the memory requirement of DNNs and increase the inference speed, while maintaining the performance (for example, accuracy) close to the original level. The parameters of DNNs are decomposed using a hybrid of canonical polyadic-singular value decomposition, approximated using a tensor power method, and fine-tuned by performing iterative one-shot hybrid fine-tuning to recover from a decreased accuracy. In this study, we evaluate our method on frequently used networks. We also present results from extensive experiments on the effects of several fine-tuning methods, the importance of iterative fine-tuning, and decomposition techniques. We demonstrate the effectiveness of the proposed method by deploying compressed networks in smartphones.

A New Spatial Localization Technique Using High-Order Surface Gradient Coils (SGC) (고차표면 경사자계코일을 이용한 새로운 공간 선택 방법)

  • Lee, J.K.;Yang, Y.J.;Jeong, S.T.;Yi, Y.;Cho, Z.H.;Oh, C.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.12
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    • pp.43-46
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    • 1994
  • A new spatial localization technique using high-order surface gradient coil (SGC) is proposed. Although the Spatial Selection with High-Order gradient (SHOT) can provide a 2-D selection with only one selective RF pulse, the high-order gradient produced by cylindrical-shape coils has not been clinically useful for clinical systems due to the large minimum selection size caused by the limited radial gradient intensity. However, by using the proposed high-order SGCs located near the imaging region, the size of volume selection can be reduced to a clinically useful 1-4 cm in diameter by applying stronger radial gradient with much less gradient driving power. A 40 cm-by-40 cm $r^{2}$ SGC has been designed and constructed, and phantom and volunteer studies have been performed. Experimental results using spatially localized MRI show good agreement to the theoretically predicted behavior.

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Sub-Frame Analysis-based Object Detection for Real-Time Video Surveillance

  • Jang, Bum-Suk;Lee, Sang-Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.76-85
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    • 2019
  • We introduce a vision-based object detection method for real-time video surveillance system in low-end edge computing environments. Recently, the accuracy of object detection has been improved due to the performance of approaches based on deep learning algorithm such as Region Convolutional Neural Network(R-CNN) which has two stage for inferencing. On the other hand, one stage detection algorithms such as single-shot detection (SSD) and you only look once (YOLO) have been developed at the expense of some accuracy and can be used for real-time systems. However, high-performance hardware such as General-Purpose computing on Graphics Processing Unit(GPGPU) is required to still achieve excellent object detection performance and speed. To address hardware requirement that is burdensome to low-end edge computing environments, We propose sub-frame analysis method for the object detection. In specific, We divide a whole image frame into smaller ones then inference them on Convolutional Neural Network (CNN) based image detection network, which is much faster than conventional network designed forfull frame image. We reduced its computationalrequirementsignificantly without losing throughput and object detection accuracy with the proposed method.

An Longitudinal Analysis of Changing Beliefs on the Use in IT Educatee by Elaboration Likelihood Model (정교화 가능성 모형에 의한 IT 피교육자 신용 믿음 변화의 종단분석)

  • Lee, Woong-Kyu
    • Asia pacific journal of information systems
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    • v.18 no.3
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    • pp.147-165
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    • 2008
  • IT education can be summarized as persuading the educatee to accept IT. The persuasion is made by delivering the messages for how-to-use and where-to-use to the educatee, which leads formulation of a belief structure for using IT. Therefore, message based persuasion theory, as well as IT acceptance theories such as technology acceptance model(TAM), would play a very important role for explaining IT education. According to elaboration likelihood model(ELM) that has been considered as one of the most influential persuasion theories, people change attitude or perception by two routes, central route and peripheral route. In central route, people would think critically about issue-related arguments in an informational message. In peripheral route, subjects rely on cues regarding the target behavior with less cognitive efforts. Moreover, such persuasion process is not a one-shot program but continuous repetition with feedbacks, which leads to changing a belief structure for using IT. An educatee would get more knowledge and experiences of using IT as following an education program, and be more dependent on a central route than a peripheral route. Such change would reformulate a belief structure which is different from the intial one. The objectives of this study are the following two: First, an identification of the relationship between ELM and belief structures for using IT. Especially, we analyze the effects of message interpretation through both of central and peripheral routes on perceived usefulness which is an important explaining variable in TAM and perceived use control which have perceived ease of use and perceived controllability as sub-dimensions. Second, a longitudinal analysis of the above effects. In other words, change of the relationship between interpretation of message delivered by IT education and beliefs of IT using is analyzed longitudinally. For achievement of our objectives, we suggest a research model, which is constructed as three-layered. While first layer has a dependent variable, use intention, second one has perceived usefulness and perceived use control that has two sub-concepts, perceived ease of use and perceived controllability. Finally, third one is related with two routes in ELM, source credibility and argument quality which are operationalization of peripheral route and central route respectively. By these variables, we suggest five hypotheses. In addition to relationship among variables, we suggest two additional hypotheses, moderation effects of time in the relationships between perceived usefulness and two routes. That is, source credibility's influence on perceived usefulness is decreased as time flows, and argument quality's influence is increased. For validation of it, our research model is tested empirically. With measurements which have been validated in the other studies, we survey students in an Excel class two times for longitudinal analysis. Data Analysis is done by partial least square(PLS), which is known as an appropriate approach for multi-group comparison analysis with a small sized sample as like this study. In result. all hypotheses are statistically supported. One of theoretical contributions in this study is an analysis of IT education based on ELM and TAM which are considered as important theories in psychology and IS theories respectively. A longitudinal analysis by comparison between two surveys based on PLS is also considered as a methodological contribution. In practice, finding the importance of peripheral route in early stage of IT education should be notable.

Small-Sample Inspection Plans for the New Product Quality Level Evaluation of Finite Population : Focused on Guided Weapons in Development Stage (생산수량이 한정된 신제품의 품질수준 평가를 위한 샘플링검사 방법 : 개발단계 유도무기를 중심으로)

  • Shin, Byung-Cheol;Byun, Jai-Hyun;Lee, Chang-Woo;Lee, Ki-Yong;Choi, Jong-Soo;Woo, Hee-Sung;Seo, Bo-Gil
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.481-487
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    • 2015
  • In the product development stage, it is very important to ensure demanded quality level before moving to the full-scale manufacturing. For example, in developing guided weapons, live-fire tests are required to verify the final performance of the weapons which are very expensive. The quality evaluation of the guided weapons needs destructive testing, which makes it necessary to test as small number of samples as possible. This paper presents sampling inspection plans and calculating system for finite population guided weapons, which can meet the demanded quality level and confidence level with the minimum number of performance tests. The result of this paper can be useful for any kind of costly destructive testing.

Research of Deep Learning-Based Multi Object Classification and Tracking for Intelligent Manager System (지능형 관제시스템을 위한 딥러닝 기반의 다중 객체 분류 및 추적에 관한 연구)

  • June-hwan Lee
    • Smart Media Journal
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    • v.12 no.5
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    • pp.73-80
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    • 2023
  • Recently, intelligent control systems are developing rapidly in various application fields, and methods for utilizing technologies such as deep learning, IoT, and cloud computing for intelligent control systems are being studied. An important technology in an intelligent control system is recognizing and tracking objects in images. However, existing multi-object tracking technology has problems in accuracy and speed. In this paper, a real-time intelligent control system was implemented using YOLO v5 and YOLO v6 based on a one-shot architecture that increases the accuracy of object tracking and enables fast and accurate tracking even when objects overlap each other or when there are many objects belonging to the same class. The experiment was evaluated by comparing YOLO v5 and YOLO v6. As a result of the experiment, the YOLO v6 model shows performance suitable for the intelligent control system.

Representation of Wilderness in Western Films: An Aesthetic Interpretation (서부 영화에서 황야의 재현에 대한 미학적 해석)

  • Lee, Myeong-Jun;Pae, Jeong-Hann
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.2
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    • pp.1-10
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    • 2013
  • This paper aims to make an aesthetic inquiry into representing modes of wilderness in western films. The western film was the first genre in earnest about natural landscape, covering vast areas of America from the East to the West. It adopted representative modes suited to physical characteristics of landscapes which produced aesthetic characteristics. In western films, wilderness was represented at a distance from the camera lens as a setting and an object of contemplation. In eastern forest landscapes, western films adopted the visual model of Hudson River School's landscape painting which expressed the transcendental sublime. The western semiarid region reproduced the warrior's gaze shot from a high angle, and, in this visual mode, wilderness was expressed as a demonic landscape derived from Burke's definition of the sublime. On one hand, the western desert was represented as a place of hardship shot at a low angle which expressed the vastness, unevenness and limitlessness of the desert owing to the absence of horizon. On the other hand, the mesas of Monument Valley have sublime characteristics of size and time. In western films, they play the role of an emblem by rising from the limitless desert on the horizon. The prospect-refuge relationship, the desire to see without being seen, is discovered in the representative mode of wilderness in western films. In this context, this study hopes to discover the archetype of landscape representation.