Behavioral interventions to reduce particulate matter exposure in patients with COPD

Introduction: Chronic obstructive pulmonary disease (COPD) is commonly affected by particulate matter (PM) exposure. In this study, we aimed to evaluate whether behavioral interventions to reduce PM exposure improve clinical outcomes in patients with COPD. Methods: A multicenter randomized controlled trial will be conducted involving 120 participants recruited from 3 hospitals in the capital region of the Republic of Korea. Patients aged 40 to 80 years with a diagnosis of COPD and a forced expiratory volume at 1 s <80% of the predicted value are eligible for inclusion. The participants will be randomized to either the intervention group or the usual care group (2:1). The behavioral interventions will comprise the following activities: checking air quality forecast; operating indoor air cleaners and regular check-ups of filters; ventilating the home regularly by opening windows; adhering to inhaler treatment; and refraining from going out on high air pollution days. "Internet-of-things"-based, gravimetric, and light-scattering methods will be used to measure indoor and outdoor PM concentrations. To estimate the degree of individual PM exposure, a time-activity diary and land use regression modeling will be used. The efficacy of the behavioral interventions on the following outcomes will be analyzed: amount of PM exposure, changes in forced expiratory volume at 1 s from the baseline, changes in respiratory symptoms and quality of life, risks of exacerbation, hospitalization, and death. Discussion: Given the harmful effect of air pollutants, individual-level interventions to reduce exposure may be significant. However, there is a lack of evidence on how effective such interventions are to date. This study will be able to provide physicians and patients with evidence-based strategies to reduce PM exposure in daily life. Trial registration number: NCT04878367.ope

낸드 플래시 메모리 오류 정정을 위한 병렬 BCH 복호기의 최적 설계

In this work, we have developed a parallel BCH decoder for multi-level cell NAND flash memory. The decoder is designed to require minimum chip area as well as minimum power consumption for NAND flash memory applications. To achieve this goal, the parallle factor of each functional block is determined by using design exploitation techniques.본 논문은 지식경제부 출연금으로 ETRI, 시스템반도체 산업진흥센터에서 수행한 IT SoC 핵심설계인력양성사업의 연구결과입니다

Pipelined Implementation of Soft Bit-Flipping Decoders for PG-LDPC codes

Low-density parity-check codes are known to show higher error correcting performance than conventional algebraic codes. However, it is hard to implement in hardware when the row or column weight of them is high. In this paper, we implemented a VLSI for projective-geometry(PG) LDPC codes employing the soft bit-flipping(SBF) algorithm which has low computational and interconnection complexities. In addition to the parallel architecture, the pipelining technique and the processing unit sharing technique are employed to increase the throughput and reduce the chip area. The implemented (1057,813) 4-bit SBF decoder consumes a small area of 2.7mm2, while providing the throughput of 11.3Gbps.이 논문은 지식경제부 출연금으로 ETRI와 시스템반도체산업진흥센터에서 수행한 ITSoC 핵심설계인력양성사업과 교육과학기술부의 재원으로 한국학술진흥재단에서 수행하는 BK21 프로젝트의 지원을 받아 수행된 연구입니다

Memory Improvement of LDPC Codes Using Cache Memory and a Parallel Decoding Technique Using SIMD Instructions

학위논문(석사) --서울대학교 대학원 :전기. 컴퓨터공학부,2010.2.Maste

Analysis and comparison of step-by-step integration methods

학위논문(석사) - 한국과학기술원 : 토목공학과, 2000.2, [ vi, 41 p. ]한국과학기술원 : 토목공학과