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A Study on the Determinants of Private Long-Term Care Insurance and First Home Care Use in the United States: Using Discrete Time Model (미국의 민간장기요양보험 가입과 재가요양서비스 이용의 결정요인에 관한 연구: 이산시간모델을 사용하여)

  • Kim, So-Yun;Hong, Gong-Soog;Montalto, Catherine P.
    • Survey Research
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    • v.11 no.2
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    • pp.97-121
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    • 2010
  • Using the 1998-2004 Health and Retirement Study(HRS), this study explored the determinants of private long-term care insurance(LTCI) ownership and the first home care use. To account for the interaction between LTCI purchase and home care use, this study used two-period utility model as theoretical framework. Discrete time model was used as an empirical model to incorporate the time-dependent feature of LTCI ownership. And this study accounted for the endogeneity of LTCI ownership and home care use by employing full information maximum likelihood estimation. This study indicated insignificant effects of private LTCI ownership and Medicaid eligibility on the home care use. Also, the effects of income and assets on home care utilization were negligible. Those who have poor health condition and who do not have potential informal caregivers were more likely to use home care. For private LTCI ownership, income and assets have positive relationship with LTCI purchase, and poor health status and age were negatively related to LTCI purchase. The elderly living with children and those who have more siblings were less likely to have private LTCI, and those who lived with spouses with no children were more likely to buy private LTCI. Based on the findings, this study provides implications to design long-term care(LTC) policies in the U.S. and to develop LTC planning education programs.

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A 200-MHz@2.5V 0.25-$\mu\textrm{m}$ CMOS Pipelined Adaptive Decision-Feedback Equalizer (200-MHz@2.5-V 0.25-$\mu\textrm{m}$ CMOS 파이프라인 적응 결정귀환 등화기)

  • 안병규;이종남;신경욱
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.05a
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    • pp.465-469
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    • 2000
  • This paper describes a single-chip full-custom implementation of pipelined adaptive decision-feedback equalizer (PADFE) using a 0.25-${\mu}{\textrm}{m}$ CMOS technology for wide-band wireless digital communication systems. To enhance the throughput rate of ADFE, two pipeline stage are inserted into the critical path of the ADFE by using delayed least-mean-square (DLMS) algorithm Redundant binary (RB) arithmetic is applied to all the data processing of the PADFE including filter taps and coefficient update blocks. When compared with conventional methods based on two's complement arithmetic, the proposed approach reduces arithmetic complexity, as well as results in a very simple complex-valued filter structure, thus suitable for VLSI implementation. The design parameters including pipeline stage, filter tap, coefficient and internal bit-width and equalization performance such as bit error rate (BER) and convergence speed are analyzed by algorithm-level simulation using COSSAP. The singl-chip PADFE contains about 205,000 transistors on an area of about 1.96$\times$1.35-$\textrm{mm}^2$. Simulation results show that it can safely operate with 200-MHz clock frequency at 2.5-V supply, and its estimated power dissipation is about 890-mW.

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Exposure to Crime News, Multicultural Acceptability, and the Mediation Effects of Perceived Risk (범죄 뉴스 노출과 다문화수용성 위험지각의 매개효과를 중심으로)

  • Heo, Yun-Cheol;Im, Yung-Ho
    • Korean journal of communication and information
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    • v.76
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    • pp.92-123
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    • 2016
  • This paper aims to examine systematically how audiences' exposure to crime news influences their multicultural acceptability. In particular, the analysis has focused on how the variance in the effects of contacts with crime news on foreigners takes place, according to the types of media and communication favored among the audiences. Also, with perceived risk toward crime as a mediating variable, this research scrutinizes the way crime news on foreigners comes to influence multicultural acceptability among the audiences. While various news sources and communication channels are influential in strengthening the perceived possibility of crime on the individual level, the results show, television seems to be particularly more effective with regards to the perceived prevalence of crime on the social level (RQ 1). Also, while contacts with crime news through 'dialogic' media rarely influence multicultural acceptability significantly, 'discursive' media and face-to-face contacts have negative impacts on the multicultural acceptability (RQ 2). Consequently, perceived risk on the social level seems to play the role of full mediation in the process where audiences' contact with crime news through discursive media influences their multicultural acceptability (RQ 3). Based on these findings, both theoretical and practical implications were discussed.

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Combined Image Retrieval System using Clustering and Condensation Method (클러스터링과 차원축약 기법을 통합한 영상 검색 시스템)

  • Lee Se-Han;Cho Jungwon;Choi Byung-Uk
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.1 s.307
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    • pp.53-66
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    • 2006
  • This paper proposes the combined image retrieval system that gives the same relevance as exhaustive search method while its performance can be considerably improved. This system is combined with two different retrieval methods and each gives the same results that full exhaustive search method does. Both of them are two-stage method. One uses condensation of feature vectors, and the other uses binary-tree clustering. These two methods extract the candidate images that always include correct answers at the first stage, and then filter out the incorrect images at the second stage. Inasmuch as these methods use equal algorithm, they can get the same result as full exhaustive search. The first method condenses the dimension of feature vectors, and it uses these condensed feature vectors to compute similarity of query and images in database. It can be found that there is an optimal condensation ratio which minimizes the overall retrieval time. The optimal ratio is applied to first stage of this method. Binary-tree clustering method, searching with recursive 2-means clustering, classifies each cluster dynamically with the same radius. For preserving relevance, its range of query has to be compensated at first stage. After candidate clusters were selected, final results are retrieved by computing similarities again at second stage. The proposed method is combined with above two methods. Because they are not dependent on each other, combined retrieval system can make a remarkable progress in performance.

Interference Alignment in 2-user X Channel System with Orthogonal and quasi-orthogonal Space-time Block Codes (직교 및 준직교 시공간 블록 부호를 통한 2-사용자 X 채널에서의 간섭정렬)

  • Mohaisen, Islam;Lee, Saet-byeol;Mohaisen, Manar;Elaydi, Hatem
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1785-1796
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    • 2015
  • In this paper, we investigate achieving the full diversity order and power gains in case of using OSTBCs and quasi-OSBCs in the x channel system with interference alignment with more than 2 antennas at each terminal. A slight degradation is remarked in the case of quasi-OSTBCs. In terms of receiver structure, we show that due to the favorable structure of the channel matrices, the simple zero-forcing receiver achieves the full diversity order, while the interference cancellation receiver leads to degradations in performance. As compared to the conventional scheme, simulation results demonstrate that our proposed schemes achieve 14dB and 16.5dB of gain at a target bit error rate (BER) of 10-4 in the case of OSTBCs with 3 and 4 antennas at each terminal, respectively, while achieving the same spectral efficiency. Also, a gain of 10dB is achieved at the same target BER in the case of quasi-OSTBC with 4 antennas at each terminal.

Accelerated compression of sub-images by use of effective motion estimation and difference image methods in integral imaging (집적영상에서 효율적인 물체움직임 추정 및 차 영상 기법을 이용한 서브영상의 고속 압축)

  • Lee, Hyoung-Woo;Kim, Eun-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.12
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    • pp.2762-2770
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    • 2012
  • In this paper, we propose a novel approach to effectively compress the sub-images transformed from the picked-up elemental images in integral imaging, in which motion vectors of the object in each sub-image are fast and accurately estimated and compensated by combined use of MSE(mean square error)-based TSS(tree-step search) and FS(full search) schemes. This is, the possible object areas in each sub-image are searched by using the fast TSS algorithm in advance, then the these selected object areas are fully searched with the accurate FS algorithm. Furthermore, the sub-images in which all object's motion vectors are compensated, are transformed into the residual images by using the difference image method and finally compressed with the MPEG-4 algorithm. Experimental results reveal that the proposed method shows 214% improvement in the compression time per each image frame compared to that of the conventional method while keeping the same compression ratio with the conventional method. These successful results confirm the feasibility of the proposed method in the practical application.

Low-Power Motion Estimator Architecture for Deep Sub-Micron Multimedia SoC (Deep Submicron 공정의 멀티미디어 SoC를 위한 저전력 움직임 추정기 아키텍쳐)

  • 연규성;전치훈;황태진;이성수;위재경
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.10
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    • pp.95-104
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    • 2004
  • This paper propose a motion estimator architecture to reduce the power consumption of the most-power-consuming motion estimation method when designing multimedia SoC with deep submicron technologies below 0.13${\mu}{\textrm}{m}$. The proposed architecture considers both dynamic and static power consumption so that it is suitable for large leakage process technologies, while conventional architectures consider only dynamic power consumption. Consequently, it is suitable for mobile information terminals such as mobile videophone where efficient power management is essential. It exploits full search method for simple hardware implementation. It also exploits early break-off method to reduce dynamic power consumption. To reduce static power consumption, megablock shutdown method considering power line noise is also employed. To evaluate the proposed architecture when applied multimedia SoC, system-level control flow and low-power control algorithm are developed and the power consumption was calculated based on thor From the simulation results, power consumption was reduced to about 60%. Considering the line width reduction and increased leakage current due to heat dissipation in chip core, the proposed architecture shows steady power reduction while it goes worse in conventional architectures.

UA Tree-based Reduction of Speech DB in a Large Corpus-based Korean TTS (대용량 한국어 TTS의 결정트리기반 음성 DB 감축 방안)

  • Lee, Jung-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.7
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    • pp.91-98
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    • 2010
  • Large corpus-based concatenating Text-to-Speech (TTS) systems can generate natural synthetic speech without additional signal processing. Because the improvements in the natualness, personality, speaking style, emotions of synthetic speech need the increase of the size of speech DB, it is necessary to prune the redundant speech segments in a large speech segment DB. In this paper, we propose a new method to construct a segmental speech DB for the Korean TTS system based on a clustering algorithm to downsize the segmental speech DB. For the performance test, the synthetic speech was generated using the Korean TTS system which consists of the language processing module, prosody processing module, segment selection module, speech concatenation module, and segmental speech DB. And MOS test was executed with the a set of synthetic speech generated with 4 different segmental speech DBs. We constructed 4 different segmental speech DB by combining CM1(or CM2) tree clustering method and full DB (or reduced DB). Experimental results show that the proposed method can reduce the size of speech DB by 23% and get high MOS in the perception test. Therefore the proposed method can be applied to make a small sized TTS.

Digital Calibration Technique for Cyclic ADC based on Digital-Domain Averaging of A/D Transfer Functions (아날로그-디지털 전달함수 평균화기법 기반의 Cyclic ADC의 디지털 보정 기법)

  • Um, Ji-Yong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.6
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    • pp.30-39
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    • 2017
  • A digital calibration technique based on digital-domain averaging for cyclic ADC is proposed. The proposed calibration compensates for nonlinearity of ADC due to capacitance mismatch of capacitors in 1.5-bit/stage MDAC. A 1.5-bit/stage MDAC with non-matched capacitors has symmetric residue plots with respect to the ideal residue plot. This intrinsic characteristic of residue plot of MDAC is reflected as symmetric A/D transfer functions. A corrected A/D transfer function can be acquired by averaging two transfer functions with non-linearity, which are symmetric with respect to the ideal analog-digital transfer function. In order to implement the aforementioned averaging operation of analog-digital transfer functions, a 12-bit cyclic ADC of this work defines two operational modes of 1.5-bit/stage MDAC. By operating MDAC as the first operational mode, the cyclic ADC acquires 12.5-bits output code with nonlinearity. For the same sampled input analog voltage, the cyclic ADC acquires another 12.5-bits output code with nonlinearity by operating MDAC as the second operational mode. Since analog-digital transfer functions from each of operational mode of 1.5-bits/stage MDAC are symmetric with respect to the ideal analog-digital transfer function, a corrected 12-bits output code can be acquired by averaging two non-ideal 12.5-bits codes. The proposed digital calibration and 12-bit cyclic ADC are implemented by using a $0.18-{\mu}m$ CMOS process in the form of full custom. The measured SNDR(ENOB) and SFDR are 65.3dB (10.6bits) and 71.7dB, respectively. INL and DNL are measured to be -0.30/-0.33LSB and -0.63/+0.56LSB, respectively.

A binary adaptive arithmetic coding algorithm based on adaptive symbol changes for lossless medical image compression (무손실 의료 영상 압축을 위한 적응적 심볼 교환에 기반을 둔 이진 적응 산술 부호화 방법)

  • 지창우;박성한
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.12
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    • pp.2714-2726
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    • 1997
  • In this paper, adaptive symbol changes-based medical image compression method is presented. First, the differenctial image domain is obtained using the differentiation rules or obaptive predictors applied to original mdeical image. Also, the algorithm determines the context associated with the differential image from the domain. Then prediction symbols which are thought tobe the most probable differential image values are maintained at a high value through the adaptive symbol changes procedure based on estimates of the symbols with polarity coincidence between the differential image values to be coded under to context and differential image values in the model template. At the coding step, the differential image values are encoded as "predicted" or "non-predicted" by the binary adaptive arithmetic encoder, where a binary decision tree is employed. The simlation results indicate that the prediction hit ratios of differential image values using the proposed algorithm improve the coding gain by 25% and 23% than arithmetic coder with ISO JPEG lossless predictor and arithmetic coder with differentiation rules or adaptive predictors, respectively. It can be used in compression part of medical PACS because the proposed method allows the encoder be directly applied to the full bit-planes medical image without a decomposition of the full bit-plane into a series of binary bit-planes as well as lower complexity of encoder through using an additions when sub-dividing recursively unit intervals.

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