• Title/Summary/Keyword: Audio Data

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A Study on the Activation of Digital Material Using by the Actual Condition of Digital Material Operation in Public Library (공공도서관 디지털자료 운영실태에 따른 디지털자료 이용 활성화 방안 연구)

  • Noh, Younghee;Kang, Pil Soo;Kim, Yoon-Jeong
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.25-51
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    • 2021
  • In this study, we tried to provide basic materials necessary for introduction of smart libraries by analyzing present conditions of its operation based on the actual conditions of digital materials. For this study, a survey of actual use of digital materials is conducted for digital material rooms of public libraries in nationwide and 213 persons in charge of digital materials. As a result of this study, the followings are found: first, 80.8% of those public libraries responding to the survey operate digital material rooms and average 1.75 person is in charge of managing digital materials and open type Wi-Fis are installed in those public libraties but only 11.3% of those libraries provide 5G services; second, it is found that the digital data which are owned by those public libraries most are video contents (63.8%), e-books (53.5%) and audio books (53.5%) in order. In addition average number of types of audio books 781, video contents 4,985, nonbook contents except for video 3,616 and other digital data 626. This study is a basic research for introduction of smart library and it is necessary to conduct another study of a plan for future revitalization of digital materials and librarians' awareness on introduction of smart library.

A Scheduler for Multimedia Data and Evaluation Method (멀티미디어 데이터를 위한 스케쥴러 및 평가법 설계)

  • 유명련;김현철
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.2
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    • pp.1-7
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    • 2002
  • Since multimedia data such as video and audio data are displayed within a certain time constraint, their computation and manipulation should be handled under limited condition. Traditional real-time scheduling algorithms could not be directly applicable, because they are not suitable for multimedia scheduling applications which support many clients at the same time. Rate Regulating Proportional Share Scheduling Algorithm is a scheduling algorithm considered the time constraint of the multimedia data. This scheduling algorithm uses a rate regulator which prevents tasks from receiving more resource than its share in a given period. But this algorithm loses fairness, and does not show graceful degradation of performance under overloaded situation. This paper proposes a new modified algorithm, namely Modified Proportional Share Scheduling Algorithm considering the characteristics of multimedia data such as its continuity and time dependency. Proposed scheduling algorithm shows graceful degradation of performance in overloaded situation and the reduction in the number of context switching. Furthermore, a new evaluation method is proposed which can evaluate the flexibility of scheduling algorithm.

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A General-Purpose Service Information Processing System for Integrated Data Broadcasting Environment (통합 데이터 방송 환경을 위한 범용 서비스 인포메이션 처리 시스템)

  • Jeon, Je-Min;Choi, Hyeon-Seok;Kim, Jung-Sun
    • The KIPS Transactions:PartC
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    • v.16C no.1
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    • pp.101-108
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    • 2009
  • The data broadcasting service, which is growing remarkably today, provides viewers with useful information as well as high quality video and audio. Service information is a kind of additional data that contains a wide range of information such as channel list and/or program title. Each service information is transmitted in the form of a table. And most standard committees have specified their own table list used for carrying the service information. Consequently, It causes incompatibility among services that each broadcast operators produce because the tables that they use differ from each other. In this paper, we propose a general-purpose service information processing system for an integrated data broadcasting middleware that is compatible with heterogenous broadcasting environments. The system is able to change its target table list dynamically without any code modification. Futhermore, we also adopted a thread pool model for efficient parsing and event dispatching.

A Study on the Disk Array Parameters for VOD Servers (VOD 서버를 위한 디스크 배열 파라미터에 관한 연구)

  • Park, Jung-Yeon;Ahn, Byoung-Chul;Kim, Jung-Doo
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.11
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    • pp.2662-2670
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    • 1997
  • High speed network makes possible to transfer not only the test data but also multimedia data such as audio, image, and moving pictures and etc. In a multimedia applications, as a multimedia storage system, it is necessary to use a disk array to store and retrieve data by real time. It is important feature to various disk array parameters as a storage system on a real VOD system, such as configuration method of each disks and allocation method of multimedia data. In this paper, various parameters for the disk array are decided to be used for the video-on-demand system application by simulations in two ways. The real and simulation measurement are compared and analyzed on the performance. Simulation results shows that RAID level 5 and 256KB as striping unit and 185KB as data requests size per seconds are suitable parameter for the disk array architecture which provides MPEG-1 files with a rate of 1.5Mbps in two measurements of real and simulation.

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Patient Safety Culture, Perception of Importance on Patient Safety Management, and Patient Safety Management Activities of Care Workers in Nursing Homes: Mixed-method Approach (노인요양시설 요양보호사의 환자안전문화, 환자안전관리 중요성 인식 및 환자안전관리활동: 혼합연구방법 적용)

  • Kim, Soon Ock;Kim, Jeong Ah
    • Journal of Korean Public Health Nursing
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    • v.34 no.3
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    • pp.473-489
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    • 2020
  • Purpose: This study investigated the patient safety culture (PSC), the perception of importance on patient safety management (PIPSM) and the patient safety management activities (PSMA) of care workers in nursing homes. This was a descriptive study that attempted to provide basic data for the patient safety education program of care workers. Methods: Data were collected using questionnaires and interviews from July 1 to 31 in 2020. One hundred and seventy-four care workers participated in quantitative research. The collected data were analyzed by the SPSS/WIN 25.0 program using descriptive statistics, t-test, ANOVA, Bonferroni, and Pearson's correlation. The qualitative data were collected through semi-structured, audio-recorded interviews with six representatives and six care workers from six nursing homes. Content analysis was performed to analyze the data. Results: Positive correlations were observed between PSC and PIPSM, and between PIPSM and PIPSM. Care workers' experience in patient safety management was in the following six categories: "Safety accident risk factors", "Type of safety accidents", "How to prevent safety accidents", "Effective safety management education", "Emphasis on occupational ethics of care workers", and "Needs for standard protocol" Conclusion: These findings indicate that considering the care workers' age and facility size, nurses should enhance patient safety education for care workers and establish a management activity system.

Music Source Signature Indexing Method for Quick Search (빠른 검색을 위한 음원 시그니처 인덱싱 방법)

  • Kim, Sang-Kyun;Lee, Kyoung-Sik
    • Journal of Broadcast Engineering
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    • v.26 no.3
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    • pp.321-326
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    • 2021
  • Blockchain is increasing in value as a platform for safe transmission of capital transactions or secure data. In addition, blockchain has the potential as a new platform that can safely store large amounts of data such as videos, music, and photos, and safely manage transaction details and service usage specifications. Since it is not possible to store large-capacity media data in a block, research on the performance of storing sound source information in a block and retrieving the stored sound source data by using the distributed storage system (IPFS) and the hash information of the sound source signature data was conducted. In this paper, we propose a sound source signature indexing method using a bloom filter that can improve the search speed suggested by previous studies. As a result of the experiment, it was confirmed that improved search performance (O(1)) than the existing search performance (O(n)) can be achieved.

Real-time Integrity for Vehicle Black Box System (차량용 블랙박스 시스템을 위한 실시간 무결성 보장기법)

  • Kim, Yun-Gyu;Kim, Bum-Han;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.6
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    • pp.49-61
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    • 2009
  • Recently, a great attention has been paid to a vehicle black box device in the auto markets since it provides an accident re-construction based on the data which contains audio, video, and some meaningful driving informations. It is expected that the device will get to promote around commercial vehicles and the market will greatly grow within a few years. Drivers who equips the device in their car believes that it can find the origin of an accident and help an objective judge. Unfortunately, the current one does not provide the integrity of the data stored in the device. That is the data can be forged or modified by outsider or insider adversary because it is just designed to keep the latest data produced by itself. This fact cause a great concern in car insurance and law enforcement, since the unprotected data cannot be trusted. To resolve the problem, in this paper, we propose a novel real-time integrity protection scheme for vehicle black box device. We also present the evaluation results by simulation using our software implementation.

Analysis of deep learning-based deep clustering method (딥러닝 기반의 딥 클러스터링 방법에 대한 분석)

  • Hyun Kwon;Jun Lee
    • Convergence Security Journal
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    • v.23 no.4
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    • pp.61-70
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    • 2023
  • Clustering is an unsupervised learning method that involves grouping data based on features such as distance metrics, using data without known labels or ground truth values. This method has the advantage of being applicable to various types of data, including images, text, and audio, without the need for labeling. Traditional clustering techniques involve applying dimensionality reduction methods or extracting specific features to perform clustering. However, with the advancement of deep learning models, research on deep clustering techniques using techniques such as autoencoders and generative adversarial networks, which represent input data as latent vectors, has emerged. In this study, we propose a deep clustering technique based on deep learning. In this approach, we use an autoencoder to transform the input data into latent vectors, and then construct a vector space according to the cluster structure and perform k-means clustering. We conducted experiments using the MNIST and Fashion-MNIST datasets in the PyTorch machine learning library as the experimental environment. The model used is a convolutional neural network-based autoencoder model. The experimental results show an accuracy of 89.42% for MNIST and 56.64% for Fashion-MNIST when k is set to 10.

Interpolation method of head-related transfer function based on the least squares method and an acoustic modeling with a small number of measurement points (최소자승법과 음향학적 모델링 기반의 적은 개수의 측정점에 대한 머리전달함수 보간 기법)

  • Lee, Seokjin
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.5
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    • pp.338-344
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    • 2017
  • In this paper, an interpolation method of HRTF (Head-Related Transfer Function) is proposed for small-sized measurement data set, especially. The proposed algorithm is based on acoustic modeling of HRTFs, and the algorithm tries to interpolate the HRTFs via estimation the model coefficients. However, the estimation of the model coefficients is hard if there is lack of measurement points, so the algorithm solves the problem by a data augmentation using the VBAP (Vector Based Amplitude Panning). Therefore, the proposed algorithm consists of two steps, which are data augmentation step based on VBAP and model coefficients estimation step by least squares method. The proposed algorithm was evaluated by a simulation with a measured data from CIPIC (Center for Image Processing and Integrated Computing) HRTF database, and the simulation results show that the proposed algorithm reduces mean-squared error by 1.5 dB ~ 4 dB than the conventional algorithms.

The Types of Coping Strageties in Family Caregivers of Demented Elderly (치매노인을 돌보는 가족의 대처유형)

  • Kim, Chun-Mi
    • Research in Community and Public Health Nursing
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    • v.14 no.2
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    • pp.351-361
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    • 2003
  • Purpose: The purposes of this study were to understand the types of coping strategies that family caregivers experience during the process of caring demented elderly: to grasp the coping strategies used for resolving this problem: and to develop a substantive theory by analyzing the coping types of the family caregivers of demented elderly. Method: The methodology of data collection and analysis used in this study was grounded theory proposed by Strauss and Corbin (1990). The data was collected through in-depth interviews with participants using open-ended and descriptive questions about their coping experiences. All data were were audio-taped and transcribed. The data were collected from February, 2000 to February, 2001. The participants of this study were 17 women. Results: Caregiver's coping types varied according to 'family's support', 'the condition of caregiver's health', 'the relationship with dementia elderly', 'family perception of dementia', 'fixed idea of traditional female role' and 'economic state'. In this study, five types of coping strategies were emerged: active role allotment tyle, meaning grant tyle, devotion tyle, duty defense type, and pessimism type. Among these, those who belong to the types of active role allotment, meaning grant, and devotion, including caregiver's good health were found to adapt themselves to caregiver roles. Conclusion: The results of this study may be helpful for developing effective and individualized nursing strategies suitable for individual caregivers coping types. It is suggested to practice nursing mediation and to analyze the changes in nursing effect and family members' adaptation based on coping types of the well-adapted caregivers as we as on their affirmative coping strategy.

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