• Title/Summary/Keyword: Content verification

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Development of an Osteoporosis Awareness Scale for Women (골다공증에 대한 인지측정도구 개발)

  • Choi, Euy-Soon;Kim, Ju-Hu;Chung, Mi-Young;Hwang, Kyung-Hye
    • Journal of Korean Academy of Nursing
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    • v.38 no.6
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    • pp.813-821
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    • 2008
  • Purpose: This study was conducted to develop an instrument measuring awareness of osteoporosis. Methods: The process included construction of a conceptual framework, generation of 86 preliminary items, verification of content validity, selection of secondary items, verification of construct validity and extraction of final items. The 86 items were reviewed for content validity by two groups of experts and were tested to evaluate inter item correlation coefficient by two groups of adult women. From June to August 2007, data were collected from 383 adult women who lived in Seoul and provinces in Korea. Data were analyzed by performing item analysis, Varimax factor analysis and Cronbach's alpha. Results: There were 31 items in the final instrument categorized into 5 factors. The factors were labeled as "preventive behaviors (10 items)", "risk factors (5 items)", "characteristics of osteoporosis (6 items)", "improving bone health (5 items)", and "bone physiology (5 items)". Cumulative percent of variance was 60.92% and eigen values ranged from 1.20 to 12.44. Cronbach's alpha was .948 and ranged from .804 to .917. Conclusion: Validity and reliability of the scale are confirmed in this study showing its utility for measuring awareness of osteoporosis for women. Utilization of the scale will also contribute to designing an appropriate prevention program for osteoporosis.

Video Integrity Checking Scheme by Using Merkle Tree (머클트리를 활용한 영상무결성 검사 기법 )

  • Yun-Hee Kang;Eun-Young CHANG;Taeun Kwonk
    • Journal of Platform Technology
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    • v.10 no.4
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    • pp.39-46
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    • 2022
  • Recently, digital contents including video and sound are created in various fields, transmitted to the cloud through the Internet, and then stored and used. In order to utilize digital content, it is essential to verify data integrity, and it is necessary to ensure network bandwidth efficiency of verified data. This paper describes the design and implementation of a server that maintains, manages, and provides data for verifying the integrity of video data. The server receives and stores image data from Logger, a module that acquires image data, and performs a function of providing data necessary for verification to Verifier, a module that verifies image data. Then, a lightweight Merkle tree is constructed using the hash value. The light-weight Merkle tree can quickly detect integrity violations without comparing individual hash values of the corresponding video frame changes of the video frame indexes of the two versions. A lightweight Merkle tree is constructed by generating a hash value of digital content so as to have network bandwidth efficiency, and the result of performing proof of integrity verification is presented.

A Study on Digital Content Copyright Management and Verification Platform using Blockchain (블록체인을 활용한 디지털 콘텐츠 저작권 관리 및 검증 플랫폼 연구)

  • Sim, Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.193-200
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    • 2022
  • In this study, the intellectual property rights of digital contents (creations) are protected by using block chain technology that cannot be damaged or forged. So, we build a blockchain-based content sales revenue tracking system and platform that activates the transaction and distribution of digital content (creation). We developed an API server that can be used for content registration and revision history management smart contract, license management smart contract according to content purchase, content inquiry function through files and hashes, and web and APP services. Through this, it is possible to prove the relationship between the rights of the creators of digital content creations and protect the rights of the creators.

(Content-Based Video Copy Detection using Motion Directional Histogram) (모션의 방향성 히스토그램을 이용한 내용 기반 비디오 복사 검출)

  • 현기호;이재철
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.497-502
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    • 2003
  • Content-based video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching which is based on key frame detection. This paper proposes a motion directional histogram, which is quantized and accumulated the direction of motion, for video copy detection. The video clip is represented by a motion directional histogram as a 1-dimensional graph. This method is suitable for real time indexing and counting the TV CF verification that is high motion video clips.

Framework for Content-Based Image Identification with Standardized Multiview Features

  • Das, Rik;Thepade, Sudeep;Ghosh, Saurav
    • ETRI Journal
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    • v.38 no.1
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    • pp.174-184
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    • 2016
  • Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

Improved Shamir's CRT-RSA Algorithm: Revisit with the Modulus Chaining Method

  • Lee, Seungkwang;Choi, Dooho;Choi, Yongje
    • ETRI Journal
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    • v.36 no.3
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    • pp.469-478
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    • 2014
  • RSA signature algorithms using the Chinese remainder theorem (CRT-RSA) are approximately four-times faster than straightforward implementations of an RSA cryptosystem. However, the CRT-RSA is known to be vulnerable to fault attacks; even one execution of the algorithm is sufficient to reveal the secret keys. Over the past few years, several countermeasures against CRT-RSA fault attacks have tended to involve additional exponentiations or inversions, and in most cases, they are also vulnerable to new variants of fault attacks. In this paper, we review how Shamir's countermeasure can be broken by fault attacks and improve the countermeasure to prevent future fault attacks, with the added benefit of low additional costs. In our experiment, we use the side-channel analysis resistance framework system, a fault injection testing and verification system, which enables us to inject a fault into the right position, even to within $1{\mu}s$. We also explain how to find the exact timing of the target operation using an Atmega128 software board.

Deep Hashing for Semi-supervised Content Based Image Retrieval

  • Bashir, Muhammad Khawar;Saleem, Yasir
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3790-3803
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    • 2018
  • Content-based image retrieval is an approach used to query images based on their semantics. Semantic based retrieval has its application in all fields including medicine, space, computing etc. Semantically generated binary hash codes can improve content-based image retrieval. These semantic labels / binary hash codes can be generated from unlabeled data using convolutional autoencoders. Proposed approach uses semi-supervised deep hashing with semantic learning and binary code generation by minimizing the objective function. Convolutional autoencoders are basis to extract semantic features due to its property of image generation from low level semantic representations. These representations of images are more effective than simple feature extraction and can preserve better semantic information. Proposed activation and loss functions helped to minimize classification error and produce better hash codes. Most widely used datasets have been used for verification of this approach that outperforms the existing methods.

Experimental on the Accuracy of Soil Water Content Measurement Using TDR (TDR을 이용한 토양함수비 측정의 정확성에 대한 실험)

  • 윤춘경
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.41 no.1
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    • pp.86-96
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    • 1999
  • Laboratory experiment was performed for the TDR to measure the soil moisture, and the results, were compared with the design water content and the one measured by oven-try method. Sand and kaolinite were used . Varaiables for the experiment were water content (10-50%), void ration (0.7 -1.3), mixture rate of kaolinite (10-30%), and measurement methods (TDR and oven-dry). In all cases , TDR method showed very accurage and reliable results , and average error and error range were far lews than the oven-dry method which is widely used. Considerable error was noticed when water contnet was 50% where saturation was achieved for both methods. Therefore, TDR was thought to be applicable to the field moisture measurement if it is unsaturated. For field scale application of TDR, more research and verification of the accuracy with diverse soil conditions including physical ,chemical and mineral properties are recommended.

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Development of an evaluation tool for the quality of nursing care in neurosurgical intensive care unit patients (신경외과 중환자 간호의 질평가 도구개발)

  • Kim, Nam-Young;Jang, Keum-Seong
    • Journal of Korean Academy of Nursing Administration
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    • v.7 no.2
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    • pp.285-300
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    • 2001
  • To meet standards for high quality of care and satisfied customers, an evaluation tool about nursing care is necessary. And, We need to evaluate our practice continuously for the improvement in quality and outcomes. This study was intended to develop an evaluation tool about nursing care in NSICU, and was progressed of 3 steps; development, content validity verification and reliability verification. Data were obtained and analysed from Feb. To April, 2000. Development process of the study was as follows A preliminary list was made item by item on the basis of clinical Experience, literature review and patients' record review. Then the standards, criteria and indicators of preliminary evaluation tool were set by 5 clinical nursing panel, and their content validity was reviewed by 27 ICU nurses. Finally, an evaluation tool was developed and verified the reliability at c-university hospital located in Kwang-Ju. The results of this was as follows 1) The evaluation tool of this study developed 8 standards, 39 criterias and 106 indicators. The standards were divided into two dimensions. One was process dimension which contained 4 standards(26 criteria), The other was outcome dimension which contained 4 standards(13 criteria). 2) the Average content validity of the tool was 3.39 at standards, 3.55 at criteria and 3.51 at indicators. 3) Interrater reliability of the tool is r=.7993(p<.001) & internal consistency reliability ${\alpha}$ is .6031 4) Scores of NSICU Patients who participated in this study were 57 at total mean score, 58 at process mean score and 56 at outcome mean score The evaluation tool developed in this study seems to be useful in evaluation nursing practice appropriately for the improvement of nursing care in NSICU. I hope that this evaluation tool can be used effectively in NSICU as an intervention for the improvement of quality control.

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A Design on Rasterizer for the verification in a 3D Graphic Processor (3D 그래픽 프로세서 검증을 위한 래스터라이저 설계)

  • Lee, Mi-Kyoung;Jang, Young Jo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.639-642
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    • 2009
  • When the graphics accelerator for high-quality multimedia content design, hardware verification environment, easy and accurate performance evaluation in an embedded device is required. To work around this is not verified through the simulation waveform analysis to determine the actual calculated graphic images has designed a software rasterizer. Rasterizer is designed for Windows-based environment using the C language implementation of rasterization has a function at each step. Vertex data is entered and the results were verified.

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