재생에너지의 보급과 기후변화를 대응하기 위한 해결책으로 수소에너지에 대한 관심이 늘어나고 있다. 수소는 미 이용 전력을 대용량 장주기로 저장하기에 가장 적합한 수단이며 이러한 수소를 생산하는 기술 중 수전해는 물에 전기에너지 를 인가하여 수소를 생산하는 친환경적 수소생산 기술로 알려져 있다. 수전해의 구성 요소 중 분리막은 음극과 양극을 물리 적으로 분리할 뿐만 아니라 생성되는 수소와 산소의 섞임 현상을 방지하며 이온의 전달을 가능하게 하는 복합적인 역할을 수 행한다. 특히 기존의 수전해 기술들의 단점을 보완할 수 있는 차세대 음이온 교환막 수전해에서의 핵심은 우수한 음이온 교 환막을 확보하는 것이다. 높은 이온 전도성과 알칼리 환경에서 우수한 내구성을 동시에 가지려는 많은 연구들이 진행되고 있 으며 다양한 소재에 대한 탐색이 이루어지고 있다. 본 총설에서는 상용 블록 공중합체인 Polystyrene-b-poly(ethylene- co-butylene)-b-polystyrene (SEBS)를 기반으로 하는 음이온 교환막에 대한 연구에 대해 살펴보며 최신 연구 동향과 앞으 로 나아가야할 점에 대해 논하고자 한다.

Predicting remaining useful life (RUL) becomes significant to implement prognostics and health management of industrial systems. The relevant studies have contributed to creating RUL prediction models and validating their acceptable performance; however, they are confined to drive reasonable preventive maintenance strategies derived from and connected with such predictive models. This paper proposes a data-driven preventive maintenance method that predicts RUL of industrial systems and determines the optimal replacement time intervals to lead to cost minimization in preventive maintenance. The proposed method comprises: (1) generating RUL prediction models through learning historical process data by using machine learning techniques including random forest and extreme gradient boosting, and (2) applying the system failure time derived from the RUL prediction models to the Weibull distribution-based minimum-repair block replacement model for finding the cost-optimal block replacement time. The paper includes a case study to demonstrate the feasibility of the proposed method using an open dataset, wherein sensor data are generated and recorded from turbofan engine systems.

Poly(ether block amide) (PEBA)는 이산화탄소 분리에 매우 적합한 상용 블록 공중합체 중 하나이다. 기체분리막의 경우 높은 투과도 뿐 아니라 강한 기계적 강도 또한 필요로 한다. PEBA공중합체의 결정성 폴리아마이드(polyamide) 블록은 기계적 강도를 제공하며 동시에 rubbery한 폴리에테르(polyether) 부분은 이산화탄소와의 친화도를 부여하여 이산화탄소 촉진 수송에 기여한다. PEBA공중합체에서 결정성 상과 rubber한 상의 조성은 기체분리막에 적합하게 조절될 수 있다. PEBA 공중합체를 기반으로 한 분리막은 좋은 투과도를 갖지만 추가적으로 분자체 효과를 이용하여 큰 기체 투과도 손실 없이 분리막의 선택도를 향상시킬 수 있다. 혼합 매질 분리막은 혼합막의 한 종류로서 고분자 매트릭스와 유기 첨가제로 이루어져 있다. 하지만 고분자 매트릭스와 유기 첨가제간의 양립성(compatibility)에 따른 문제점 또한 존재한다. 따라서 본 총설에서는 PEBA 공중합체를 기반으로 한 혼합막의 장점과 한계에 대해 다루고자 한다.

Well-defined methacrylate based amphiphilic block copolymers (BCs) used as additives to fabricate poly(vinylidene fluoride) (PVDF) UF membranes, where the amphiphilic BC additives hydrophilically altered PVDF with PPEGMA block segment by strong interaction with the other PMMA block segment, which reduced water resistance to the PVDF polymer solution during phase separation. FT-IR and XPS studies showed carbonyl groups of BCs in the PVDF membranes. Obtained membranes showed porous surface layer and finger-like pore structures on the sublayers, of which sizes were increased with the increase of BC contents. Obtained membranes showed MWCO with 100K PEO and the best water flux was achieved in the PVDF membrane with BC/LiCl additive and improved the anti-fouling property for BSA protein.

A class of phenolphthalein anilide based poly(ethersulfone) (PES) block copolymers containing pendent quaternary ammonium (QA) groups was prepared as anion exchange membranes by reaction involving nucleophilic substitution, benzylic bromination, quaternization and anion exchange with hydroxide ions. Hexafluorobenzene (HFB) was utilized as a linkage group between the hydrophobic and hydrophilic oligomer blocks. Nano-phase separated membrane morphology due to block structure of poly (ethersulfone) serves for better management of absorbed water for higher hydroxide conductivity with good thermal, and dimensional stability. The water uptake, swelling ratio, conductivity, and chemical stability of the copolymer membranes were comparatively investigated.

Polyimides (PI) have the high mechanical, thermal, and chemical stability. However, they have low permeability resulting from rigid chain structure. On the other hand, PDMS is a highly CO2 permeable soft polymer. To overcome low permeability of polyimide, we developed PDMS-based polyimide block copolymer. The effect of PDMS contents on the gas separation properties will be discussed in detail.

Membranes, which consist crosslinked polymer electrolyte, modified structures by using poly(styrene-b-butadiene-b-styrene) (SBS) triblock copolymer and a sulfonated monomer, 2-sulfoethyl methacrylate (SEMA). With thermal-initiator, 4,4'-azobis(4-cyanovaleric acid), the SEMA membranes were crosslinked. Owing to increase of SO3-groups, the water uptake and ion exchange capacity of membranes was enhanced. By using the series of the equipment, like wide angle X-ray scattering, small angle X-ray scattering, and transmission electron microscopy, microphase-separated morphology and amorphous structures of crosslinked SBS/SEMA membranes was identified. Universal testing machine and thermo gravimetric analysis were performed to investigate mechanical properties and thermo behavior of synthesized polymer membrane.

본 연구에서는 공리적 설계 방법론에서 중요한 2가지 공리 중 독립공리를 시스템 개발에서 설계 기준으로 적용하였다. 기능 요구사항과 대응하는 설계 파라메터는 설계행렬을 구성하고 이를 이용하여 독립공리에 부합하는 설계 파라메터의 순서를 정한 후 블록 레벨링 시스템에서의 독립적 구성요소를 판별하였다. 이러한 공리적 설계의 결과로서 설계 순서에 맞는 블록 레벨링 시스템 구성을 도출하였다. 도출된 블록 레벨링 시스템 구성의 검증과 확인을 위해 블록 조립 현장에서 사용하고 있는 3차원 좌표 측정기인 토털 스테이션을 사용하여 실제 조립이 완료된 블록에 대하여 구현된 블록 레벨링 시스템을 적용하여 데이터를 비교하는 시험을 수행하였다. 토털 스테이션의 측정 데이터와 블록 레벨링 시스템의 수신 데이터를 비교하여 1 mm 이내의 정밀도로 블록 레벨링 시스템이 동작함을 검증하고 확인하였다.

The purpose of this study is to construct the ACD model for the block trading volume duration. The ACD model based on the block trading volume duration is referred to as Volume ACD (VACD) in this study. By integrating with GARCH-type models, the VACD based GARCH type models, which include VACD-GARCH, VACD-IGARCH and VACD-FIGARCH models, are set up. This study selects Chunghwa Telecom (CHT) Inc., offering the America Depository Receipt (ADR) in NYSE, to investigate the block trading volume duration in Taiwanese equity market. The empirical results indicate that the long memory in volume duration series increases dependence at level of volatility clustering by VACD (2,1)-FIGARCH (3,d,1) model. Moreover, the VACD (2,1)-IGARCH (1,1) exhibits relatively better performance of prediction on capturing block trading volume duration. This volatility model is more appropriate in this study to portray the change of the CHT Inc. prices and provides more information about the volatility process for investment strategy, which can be a reference indicator of financial asset pricing, hedging strategy and risk management.

Ground penetrating radar (GPR) is a typical sensor system for underground objects detection area. The multichannel GPR devices can give more detail and informative three-dimensional (3D) data for classification underground objects. Spatial information of underground objects can be well characterized in the three-dimensional GPR block data which consists of several B-scan and C-scan data. In this article underground object classification method is proposed by using 3D GRP data. Deep learning technique is recently being adopted into this field due to its powerful image classification capacity. The 3D GRP block data is then used to train deep three-dimensional convolution neural network (3D CNN). The proposed method successfully classifies cavity, pipe, manhole and subsoils having small false positive errors. The suggested method is experimentally validated by area data collected on urban roads in Seoul, South Korea.

최근 가상현실 기술의 발전으로 가상의 3D 객체와 자연스러운 상호작용이 가능하도록 하는 사용자 친화적인 손 제스처 인터페이스에 대한 연구가 활발히 진행되고 있다. 그러나 대부분의 연구는 단순하고 적은 종류의 손 제스처만 지원되고 있는 실정이다. 본 논문은 가상환경에서 3D 객체와 보다 직관적인 방식의 손 제스처 인터페이스 방법을 제안한다. 손 제스처 인식을 위 하여 먼저 전처리 과정을 거친 다양한 손 데이터를 이진 결정트리로 1차 분류를 한다. 분류된 데이 터는 리샘플링을 한 다음 체인코드를 생성하고 이에 대한 히스토그램으로 특징 데이터를 구성한다. 이를 기반으로 학습된 MCSVM을 통해 2차 분류를 수행하여 제스처를 인식한다. 본 방법의 검증을 위하여 3D 블록을 손 제스처를 통하여 조작하는 ‘Virtual Block’이라는 게임을 구현하여 실험한 결 과 16개의 제스처에 대해 99.2%의 인식률을 보였으며 기존의 인터페이스보다 직관적이고 사용 자 친화적임을 알 수 있었다.

오늘날 많은 IT 관련 분야에서 컴퓨터 그래픽스 기술이 사용되고 있다. 더욱이 3D 프린터, Head Mount Display, VR & AR 등 컴퓨터 그래픽스와 밀접하게 관련된 분야에 대한 수요가 급증하고 있다. 앞으로 컴퓨터 그래픽스 분야는 더욱 전문화되고 이에 따른 인력의 수요도 증가할 것이다. 그러나 그래픽스 분야가 수학적 배경지식을 많이 요구하기 때문에 접근성이 낮고, 수요에 비해 이를 전공한 사람과 전문가의 숫자가 적다. 만약 그래픽스 프로그래밍을 쉽게 배울 수 있는 환경을 제공하다면, 컴퓨터 그래픽스 분야 인력 양성에 도움이 될 것이다. 따라서 이 논문에서 그래픽스 이론을 분석하여 초심자도 체계적이고 쉽게 배울 수 있는 교육용 소프트웨어 모델을 제시한다. 웹과 블록을 이용한 설계를 통해 접근성과 직관성을 높이고, 이론적인 내용을 중점적으로 학습할 수 있는 환경을 구축하는 방법을 제안한다.

In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for screening target loci with agricultural traits. We propose the variation block method, a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing short-read DNA sequences of the cultivar to a reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are named as variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybeans and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color. We suggest that the variation block method is an efficient genomics method for recombination block-level comparison of crop genomes. We expect that this method holds the prospect of developing crop genomics by bringing genomics technology to the field of crop breeding.

NGS costs are decreasing rapidly, and beneficial application of the technology to plant genomics seems inevitable. Trying to interpret the agriculturally important traits like yield is actively in progress all across the globe. However, the current stage of bio-informatic technology as applied to the interpretation of agricultural trait appears not yet at a level of maturity to justify widespread plant genome sequencing for user-friendly molecular breeding. It is necessary to construct dense mutation block (DMB) based molecular breeding system for selecting plants with optimal agricultural performance; as well as for identifying useful quantitative trait loci (QTLs). Firstly, we screened and selected DMBs-specific INDEL markers obtained from SNV density profiles using 42 genome sequences of Korean cultivar and public sequences of 24 japonica rice cultivars. Secondly, we analyzed the genetic similarity between 288 Korean cultivars using 113 DMB-specific INDEL markers, which could differentiate on agarose gel by PCR. And we are going to integrate 360 INDEL markers up to 30 per each chromosome. Finally, we selected 40 founder lines considering the importance of the breeding, the purpose of use, and plant ecotype. To construct rice nested association mapping population we crossed each founder lines with the pollen of Hwayoungbyeo which was most commonly used in korean rice breeding program. F2 seed multiplication and generation iteration are ongoing.

Although much effort has been made to find agronomically important loci in the soybean plant, extensive linkage disequilibrium and genome duplication have limited efficient genome-wide linkage analyses that can identify important regulatory genes. In this respect, recombination block-based analysis of cultivated plant genomes is a potential critical step for molecular breeding and target locus screening. We propose a new three-step method of detecting recombination blocks and comparative genomics of bred cultivars. It utilizes typical reshuffling features of their genomes, which have been generated by the recombination processes of breeding ancestral genomes. To begin with, mutations were detected by comparing genomes to a reference genome. Next, sequence blocks were examined for likenesses and difference with respect to the reference genome. The boundaries between the blocks were taken as recombination sites. All recombination sites found in the cultivar set were used to split the genomes, and the resulting sequence fragments were named as core recombination blocks (CRBs). Finally, the genomes were compared at the CRB level, instead of at the sequence level. In the genomes of the five Korean soybean cultivars used, the CRB-based comparative genomics method produced long and distinct CRBs that are as large as 22.9 Mb. We also demonstrated efficiency in detecting functionally useful target loci by using indel markers, each of which represents a CRB. We further showed that the CRB method is generally applicable to both monocot and dicot crops, by analyzing publicly available genomes of 31 soybeans and 23 rice accessions.