• Title/Summary/Keyword: content adaptive

Search Result 265, Processing Time 0.024 seconds

AUTOMATION AND ROBOT APPLICATION IN AGRICULTURAL PRODUCTIONS AND BIO-INDUSTRIES

  • Sevila, Francis
    • Proceedings of the Korean Society for Agricultural Machinery Conference
    • /
    • 1996.06c
    • /
    • pp.142-159
    • /
    • 1996
  • Engineering of automated tools for the agro-food industries and the rural world activities have to pick up two challenges : to answer the immediate important problems related to the situation of these industries, and to imaging the tools that their professional will need next century. Creating or modifying automated tools in the next few will be made taking into account parameters either technical (environmental protection, health and safety), or social and economical (investment , employment). There will be a strong interaction with disciplines like ecology, medicine, ergonomy, psycho-sociology , etc. , The partners for such a research, tools manufactures and users, should have an early involvement in its content, in order to find rapidly the solution to the drastic problems they are meeting. On a longer term , during the next 20 years , there will be an important evolution of the rural space management and of the food processes. This will imply the emergence of new types of activities and know-how's , with lines of automated tools to be invented and developed , like : micro-system for organic localized tasks -mobile and adaptive equipments highly autonomous for natural space actions - device for perception , decision and control reproducing automatically the expert behaviors of human operators. Design of such automated tools need to overcome technological difficulties like the automation of the expert-decision process, or the management of complex design.

  • PDF

A Study on Subjective Assessment of Knit Fabric by ANFIS

  • Ju Jeong-Ah;Ryu Hyo-Seon
    • Fibers and Polymers
    • /
    • v.7 no.2
    • /
    • pp.203-212
    • /
    • 2006
  • The purpose of this study was to examine the effects of the structural properties of plain knit fabrics on the subjective perception of textures, sensibilities, and preference among consumers. This study, then, aimed to provide useful information with respect to planning and designing knitted fabrics by predicting the subjective characteristics analyzed according to their structural properties. For this purpose, we employed statistical analysis tools, such as factor and regression analysis and an adaptive-network-based fuzzy inference system(ANFIS), thereby combining the merits of fuzzy and neural networks and presupposing a non-linear relationship. Through factor analysis, we also categorized the subjective textures into 'roughness', 'softness', 'bulkiness' and 'stretch-ability' with R2=70.32%: and categorized the sensibilities into 'Stable/Neat', 'Natural/Comfortable' and 'Feminine/Elegant' with R2=68.12%. We analyzed subjective textures, sensibilities, and preference with ANFIS, assuming non-linear relationships; consequently, we were able to generate three or four fuzzy rules using wool/rayon fiber content and loop length as input data. The textures of roughness and softness exhibited a linear relationship, but other subjective characteristics demonstrated a non-linear input-output relationship. Compared with linear regression analysis, the ANFIS exhibited had higher predictive power with respect to predicting subjective characteristics.

A Study of Role of Perceived Organizational Support among Sexual Harassment and Employees' Attitudes

  • CHOI, Youngkeun
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.7 no.2
    • /
    • pp.229-236
    • /
    • 2020
  • Researchers generally argue that sexual harassment influence poor female employee organizational attitudes. However, these relationships have been not always observed. Depending on the organizational support theory, this study extended the content domain of sexual harassment research by examining the role of perceived organizational support, on these relationships. For this, this study used a survey method and multiple regression analyses with Korean 285 female employees. As results, first, the more unwanted sexual attention employees perceived, they were less likely to show their organizational citizenship behavior. Second, the more sexual coercion employees perceived, they were more likely to have their work-family conflict. Third, the negative relationship between unwanted sexual attention and their organizational citizenship behavior are stronger for employees low rather than high in perceived organizational support. Finally, the positive relationship between sexual coercion and work-family conflict are stronger for employees low rather than high in perceived organizational support. The findings suggest the adaptive function of perceived organizational support employees hold in organizational behavior. This is the first study to examine the interaction between perceived organizational support and sexual harassment of female workers with organizational citizenship behavior and work-family conflict. This study also provides guidance for administrative managerial practices.

An Adaptive TTL Allocation Scheme for Live and On-Demand Personal Broadcasting Service (실시간 라이브 및 비실시간 개인방송 서비스를 위한 적응적 TTL 할당기법)

  • Kim, Namtae;You, Dongho;Jang, Jungyup;Seo, Bong-seok;Jeong, Eun-young;Kim, Dong Ho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2016.11a
    • /
    • pp.45-46
    • /
    • 2016
  • 본 논문은 CDN(Content Delivery Network)의 동적 캐싱 방식을 기반으로 하는 적응적 TTL(Time-To-Live) 할당기법을 제안한다. 이는 클라이언트가 실시간 개인방송을 시청하는 중 지나간 과거의 특정 장면을 다시 시청할 때 근원(Origin)서버의 부하를 효율적으로 줄일 수 있을 뿐만 아니라 캐시(Cache)서버의 저장 공간도 효율적으로 사용할 수 있는 장점이 있다. 따라서 본 논문에서 제안하는 적응적 TTL 할당기법은 개인방송 시청자들이 지나간 과거의 영상들을 선택적으로 시청할 때 보다 나은 서비스를 제공할 수 있을 것으로 기대된다.

  • PDF

Regularization Parameter Selection for Total Variation Model Based on Local Spectral Response

  • Zheng, Yuhui;Ma, Kai;Yu, Qiqiong;Zhang, Jianwei;Wang, Jin
    • Journal of Information Processing Systems
    • /
    • v.13 no.5
    • /
    • pp.1168-1182
    • /
    • 2017
  • In the past decades, various image regularization methods have been introduced. Among them, total variation model has drawn much attention for the reason of its low computational complexity and well-understood mathematical behavior. However, regularization parameter estimation of total variation model is still an open problem. To deal with this problem, a novel adaptive regularization parameter selection scheme is proposed in this paper, by means of using the local spectral response, which has the capability of locally selecting the regularization parameters in a content-aware way and therefore adaptively adjusting the weights between the two terms of the total variation model. Experiment results on simulated and real noisy image show the good performance of our proposed method, in visual improvement and peak signal to noise ratio value.

Automatic In-Text Keyword Tagging based on Information Retrieval

  • Kim, Jin-Suk;Jin, Du-Seok;Kim, Kwang-Young;Choe, Ho-Seop
    • Journal of Information Processing Systems
    • /
    • v.5 no.3
    • /
    • pp.159-166
    • /
    • 2009
  • As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

Fast Algorithm for 360-degree Videos Based on the Prediction of Cu Depth Range and Fast Mode Decision

  • Zhang, Mengmeng;Zhang, Jing;Liu, Zhi;Mao, Fuqi;Yue, Wen
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.6
    • /
    • pp.3165-3181
    • /
    • 2019
  • Spherical videos, which are also called 360-degree videos, have become increasingly popular due to the rapid development of virtual reality technology. However, the large amount of data in such videos is a huge challenge for existing transmission system. To use the existing encode framework, it should be converted into a 2D image plane by using a specific projection format, e.g. the equi-rectangular projection (ERP) format. The existing high-efficiency video coding standard (HEVC) can effectively compress video content, but its enormous computational complexity makes the time spent on compressing high-frame-rate and high-resolution 360-degree videos disproportionate to the benefits of compression. Focusing on the ERP format characteristics of 360-degree videos, this work develops a fast decision algorithm for predicting the coding unit depth interval and adaptive mode decision for intra prediction mode. The algorithm makes full use of the video characteristics of the ERP format by dealing with pole and equatorial areas separately. It sets different reference blocks and determination conditions according to the degree of stretching, which can reduce the coding time while ensuring the quality. Compared with the original reference software HM-16.16, the proposed algorithm can reduce time consumption by 39.3% in the all-intra configuration, and the BD-rate increases by only 0.84%.

Older Adults' Experiences of Living with and Using Diapers for Urinary Incontinence in Long-term Care Facilities (시설거주 노인의 요실금과 기저귀 착용 경험)

  • Lim, Kyung-Choon;Kim, Myoungsuk
    • Journal of muscle and joint health
    • /
    • v.26 no.2
    • /
    • pp.90-101
    • /
    • 2019
  • Purpose: This study was aimed to describe older adults' experiences of living with urinary incontinence and using diapers for its management in long-term care facilities. Methods: Qualitative data were collected through in-depth interviews with 22 participants in long-term care facilities. Content analysis was used to analyze the data. Results: Three themes and six categories were emerged. Participants navigated through those three categories as stages, including the initial stage of confronting the unacceptable reality, transitional stage of physical and emotional suffering, and adaptive stage of accepting the diaper usage as a part of life and hoping improvement. Six categories were feeling terrible with unavoidable use of diapers, being frustrated by nursing staff shortage and unsatisfactory care for urinary incontinence, physical discomfort from of wearing diapers and remaining unchanged, emotional difficulties due to using diapers, accepting and adapting to diaper usage as a part of life, hope for gender-specific quality care for urinary incontinence. Conclusion: The findings suggest that using diapers should not be mandatory to manage older adults' urinary incontinence in long-term care facilities. It is also critical to establish policies to address issues of nursing shortage and financial support for qualitative care to manage urinary incontinence in long-term care settings.

Implementation Method for DASH-based Free-viewpoint Video Streaming System (DASH 기반 자유시점 비디오 스트리밍 시스템 구현)

  • Seo, Minjae;Paik, Jong-ho
    • Journal of Internet Computing and Services
    • /
    • v.20 no.1
    • /
    • pp.47-55
    • /
    • 2019
  • Free-viewpoint video (FVV) service provides multi viewpoints of contents and synthesizes intermediate video files which are not captured on some view angles so that enables users to watch as they choose wherever they want. Synthesizing video is necessary technique to provide FVV video service, because every video of the FVV contents for different view angles cannot be stored to the content server physically. For the reason, fast view synthesis can improve the quality of video service and increase user's satisfaction. One of the studies for FVV service, a method was proposed to transmit FVV service based on DASH (Dynamic Adaptive Streaming over HTTP). There is big advantage on using DASH that it is commonly used to transport video service. However, the method was only a conceptual proposal, so it is difficult to implement the system using the proposal. In this paper, we propose an implementation method to provide real-time FVV service smoothly. We suggest a system structure and operation method on the server and client side in detail, which is to be applicable to synthesize video quickly. Also, we suggest generating FVV service map additionally which controls a FVV service overall. We manage real-time information of the whole service through the service map. The service can be controlled by reducing the possible delay from network situation.

A history-based peer selection algorithm for WebRTC-based P2P-assisted DASH systems (WebRTC 기반 P2P 통신 병용 DASH 시스템을 위한 이력 기반 피어 선택 알고리듬)

  • Choi, Seong Hyun;Seo, Ju Ho;Kim, Sang Jin;Jeon, Jae Young;Kim, Yong Han
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2018.11a
    • /
    • pp.110-113
    • /
    • 2018
  • 최근 인터넷 미디어 스트리밍 수요의 증가로 인해 CDN(Content Delivery Network) 서버 비용이 크게 증가하였으며 이를 절감하기 위한 방안의 필요성이 날로 증가하고 있다. 이러한 상황에 맞춰 최근 CDN 서버 비용을 절감할 수 있는 WebRTC(Web Real-Time Communication) 표준 기반의 P2P(Peer-to-Peer) 통신을 병용하는 DASH(Dynamic Adaptive Streaming over HTTP) 기술이 등장하였다. 본 논문에서는 이 기술의 CDN 서버 부하 절감 효과를 크게 개선할 수 있는 알고리듬을 제안한다. 또한 실제 모바일 네트워크 환경과 유사하게 실험 조건을 설정한 후, 이 알고리듬을 구현하여 그 성능을 측정한 결과, 기존과 비교하여 더 높은 절감 효과를 달성할 수 있음을 실험실 내 실험을 통해 보인다.

  • PDF