• 인터넷정보학회논문지
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• 제18권1호
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• pp.51-55
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• 2017

본 논문에서는 LBS 연동형 스마트 플랫폼의 설계를 통해 타인의 라이프로그 정보를 참조할 수 있는 개인 블랙박스용 라이프 로그서비스를 제안한다. 일반적이 라이프로그 서비스는 스마트 장치 사용자의 일상적인 행위를 저장함으로써 추후에 이를 다시 확인해 볼 수 있게 해준다. 제안한 라이프로그 서비스 플랫폼은 GPS/UFID 위치 정보와 스마트기기로부터 획득한 영상에서 추출한 다양한 정보를 라이프로그 데이터로 사용한다. 또한, 데이터베이스를 구축하여 다른 사용자가 구축한 라이프로그 데이터를 참조할 수 있다. 제공하는 타인의 정보는 기본적으로 500m 이내로 제한하였으나 이러한 범위는 조절가능하다. 제안한 플랫폼은 영상인식기법을 활용하여 획득한 영상에 대한 속성을 결정한 후 위치 정보, 영상 데이터, 영상 속성 그리고 관련된 웹 정보를 데이터베이스에 저장한다. 데이터베이스에 저장되는 속성은 개체ID, 영상 형태, 획득시간, 획득 좌표이다. 사용하는 영상 형태 속성은 산, 바다, 거리, 건물 앞, 건물 내부 그리고 인물이다. 영상 속성이 인물인 경우 셔츠, 바지, 원피스, 액세서리와 같은 부속성을 부여할 수 있다. 본 연구의 결과로 스마트 디지털 기기로 부터 멀티미디어 파일 데이터를 수집하고 웹 서버로부터 웹 데이터를 수집하여, 파일 데이터와 웹 데이터를 라이프로그 데이터로 저장하고 사용자 요청에 따라 길찾기 등을 통해 라이프로그 데이터를 활용할 수 있다.

• 대한토목학회논문집
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• 제35권2호
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• pp.437-445
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• 2015

지하철 만족도에 큰 영향을 미치는 시설물의 배치, 정보안내의 경우 지하철 승강장 및 환승정거장의 유형에 따라 달라지게 되나, 현재 해당 항목에 대한 연구는 미비한 실정이다. 본 연구는 이러한 관점에서 출발하여 IPA 분석 기법을 활용하여 승강장 및 환승정거장 유형에 따른 이동시설 및 환승편의시설, 정보안내의 만족도간 중요도를 분석하는 것을 목적으로 한다. 이를 위해 수도권 도시철도 환승역사 15개를 대상으로 승강장 및 환승정거장 유형에 따라 분류하고, 승강장 및 환승정거장 유형이 동일함에 따라 이용자간 중요도 및 만족도 차이, 개선항목 등을 분석하였다. 본 연구의 분석 결과 동선교차가 많이 발생되는 승강장 유형(상대식 승강장)과 환승정거장 유형(+, L, T자형)으로 지하철역을 설계하는 경우 이동편의시설 및 정보안내표지의 적정한 위치 선정이 중요함을 도출하였다. 이러한 분석 결과는 향후 이용자의 불편이 최소화할 수 있는 방향으로 신규 역사 설계 및 기존 역사 개선시 활용이 가능하며, 승강장 및 환승정거장 유형에 따라 우선적으로 개선해야 하는 항목 도출로 지하철 개선비용 효율성 증대 가능할 것으로 판단된다.

• 한국터널지하공간학회 논문집
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• 제24권6호
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• pp.539-552
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• 2022

열차 정거장의 경우 연기배출이 제한된 지하공간이라는 특수성으로 인해 적절한 제연 설비가 갖추어지지 않는다면 화재 발생시 화재연기로 인한 피해가 확대될 우려가 있다. 이에 지하 정거장의 대피 안전성을 확보하기 위한 대책의 필요성이 부각되었으며, 화재시 승강장 이용객의 안전한 대피를 위한 연구가 국내외에서 지속적으로 수행되고 있다. 하지만 현재 열차 승강장에는 제연 경계벽과 PSD (Platform Screen Door)등에 의해 제연구역을 구획하여 제연설비를 설치하고 있으나, 화재시 제연구역별 제연방법(급기 또는 배기) 즉, 제연모드에 관한 기준은 제시되어 있지 않은 실정이다. 본 연구에서는 열차 정거장 화재시 제연모드에 따른 화재위험을 정량적으로 평가하기 위해서 화재해석 및 대피해석을 수행하여 사망자수를 추정하고 F/N선도를 도출하였으며, 이를 통해 최적 제연모드를 검토한 결과, 화재 구역 배기 및 인접구역 급기인 경우에 총 위험도가 가장 낮은 것으로 분석됐다.

• 한국가금학회지
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• 제40권3호
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• pp.223-234
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• 2013

Poultry industry is abounding day by day as it engrosses less cost of investment per bird as compared to large animals. Poultry have the most copious genomic tool box amongst domestic animals for the detection of quantitative trait loci (QTL) and marker assisted selection (MAS). Use of multiple markers and least square techniques for mapping of QTL affecting quality and production traits in poultry is in vogue. Examples of genetic tests that are available to or used in industry programs are documented and classified into causative mutations (direct markers), linked markers in population-wide linkage disequilibrium (LD) with the QTL (LD markers), and linked markers in population wide equilibrium with the QTL (LE markers). Development of genome-wide SNP assays, role of 42 K, 60 K (Illumina) and 600 K (Affymetrix$^{(R)}$ Axim$^{(R)}$) SNP chip with next generation sequencing for identification of single nucleotide polymorphism (SNP) has been documented. Hybridization based, PCR based, DNA chip and sequencing based are the major segments of DNA markers which help in conducting of MAS in poultry. Economic index-marker assisted selection (EI-MAS) provides platform for simultaneous selection for production traits while giving due weightage to their marginal economic values by calculating predicted breeding value, using information on DNA markers which are normally associated with relevant QTL. Understanding of linkage equilibrium, linkage dis-equilibrium, relation between the markers and gene of interest are quite important for success of MAS. This kind of selection is the most useful tool in enhancing disease resistance by identifying candidate genes to improve the immune response. The application of marker assisted selection in selection procedures would help in improvement of economic traits in poultry.

• Journal of Power Electronics
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• 제18권1호
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• pp.195-203
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• 2018

In the variable speed Wind Turbine based on ElectroMagnetic Coupler (WT-EMC), a synchronous generator is coupled directly to the grid. Therefore, like conventional power plants, WT-EMC is able to inherently support grid frequency. However, due to the reduced inertia of the synchronous generator, WT-EMC is expected to be controlled to increase its output power in response to a grid frequency drop to support grid frequency. Similar to the grid frequency support control of Type 3 or Type 4 wind turbine, inertial control and droop control can be used to calculate the WT-EMC additional output power reference according to the synchronous generator speed. In this paper, an experimental platform is built to study the grid frequency support from WT-EMC with inertial control and droop control. Two synchronous generators, driven by two induction motors controlled by two converters, are used to emulate the synchronous generators in conventional power plants and in WT-EMCs respectively. The effectiveness of the grid frequency support from WT-EMC with inertial control and droop control responding to a grid frequency drop is validated by experimental results. The selection of the grid frequency support controller and its gain for WT-EMC is analyzed briefly.

• Journal of Information Science Theory and Practice
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• 제7권2호
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• pp.23-31
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• 2019

We report results of selection-bias-free approaches to the analysis of the impact of open access (OA) models on citation metrics. We studied reference groups of Gold and Green OA articles and the group of non-OA (Paywall) articles with the new functionality of the Web of Science Core Collection database, the InCites platform of Clarivate Analytics, and the Dimensions database of Digital Science. For each reference group we obtained the values of the percent of cited articles and citation impact and their dependence on the depth of the citation period. Different research fields were analyzed in two schemas of the InCites platform. We report the higher values and growth rates of the citation metrics: citation impact and %Cited, in the OA reference groups over the Paywall group. The Green OA articles demonstrate the highest values of citation metrics among all the OA models. Dependence of the value of citation impact on citation period follows linear law with R2 values close to 0.9-1.0. The overall annual growth rates of citation impact of the Green OA, Gold OA, and the Paywall articles, k equal, respectively, 3.6, 2.4, and 1.4 in Dimensions and 4.6, 3.6, and 2.3 in the Web of Science Core Collection. We suppose that earlier results reported for the articles in pure OA journals vs. articles in Paywall journals were affected by the high citation impact of the Green and Hybrid OA articles that could not be elucidated in the Paywall journals at that time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5404-5424
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• 2018

This work is mainly focused on two major topics in cloud platforms by using OpenStack as a case study: management and provisioning of resources to meet the requirements of a service demanded by remote end-user and relocation of virtual machines (VMs) requests to offload the encumbered compute nodes. The general framework architecture contains two subsystems: 1) An orchestrator that allows to systematize provisioning and resource management in OpenStack, and 2) A resource utilization based subsystem for vibrant VM relocation in OpenStack. The suggested orchestrator provisions and manages resources by: 1) manipulating application program interfaces (APIs) delivered by the cloud supplier in order to allocate/control/manage storage and compute resources; 2) interrelating with software-defined networking (SDN) controller to acquire the details of the accessible resources, and training the variations/rules to manage the network based on the requirements of cloud service. For resource provisioning, an algorithm is suggested, which provisions resources on the basis of unused resources in a pool of VMs. A sub-system is suggested for VM relocation in a cloud computing platform. The framework decides the proposed overload recognition, VM allocation algorithms for VM relocation in clouds and VM selection.

• Journal of Platform Technology
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• 제9권1호
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• pp.3-14
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• 2021

Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

• 대한의용생체공학회:의공학회지
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• 제42권5호
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• pp.232-240
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• 2021

Heterogeneity in cancer is the major obstacle for precision medicine and has become a critical issue in the field of a cancer diagnosis. Many attempts were made to disentangle the complexity by molecular classification. However, multi-dimensional information from dynamic responses of cancer poses fundamental limitations on biomolecular marker-based conventional approaches. Cell morphology, which reflects the physiological state of the cell, can be used to track the temporal behavior of cancer cells conveniently. Here, we first present a hybrid learning-based platform that extracts cell morphology in a time-dependent manner using a deep convolutional neural network to incorporate multivariate data. Feature selection from more than 200 morphological features is conducted, which filters out less significant variables to enhance interpretation. Our platform then performs unsupervised clustering to unveil dynamic behavior patterns hidden from a high-dimensional dataset. As a result, we visualize morphology state-space by two-dimensional embedding as well as representative morphology clusters and trajectories. This cell morphology profiling strategy by hybrid learning enables simplification of the heterogeneous population of cancer.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.511-525
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• 2021

Aluminium outfitting is widely used in offshore platforms owing to its anti-corrosion ability and its light weight. However, various standards exist (ISO, NORSOK and EN) for the design of handrails used in offshore platforms, and different suppliers have different criteria. This causes great confusion for designers. Moreover, the design load required by the standards is not clearly defined or is uncertain. Thus, many offshore projects reference previous project details or are conservatively designed without additional clarification. In this study, all of the codes and standards were reviewed and analysed through prior studies, and data on variable factors that directly and indirectly affect the handrails applied to offshore platforms were analysed. A total of 50 handrail design load scenarios were proposed through deterministic and probabilistic approaches. To verify the proposed new handrail design load selection scenario, structural analysis was performed using SACS (offshore structural analysis software). This new proposal through deterministic and probabilistic approaches is expected to improve safety by clarifying the purpose of the handrails. Furthermore, the acceptance criteria for probabilistic scenarios for handrails suggest considering the frequency of handrail use and the design life of offshore platforms to prevent excessive design. This study is expected to prevent trial and error in handrail design while maintaining overall worker safety by applying a loading scenario suitable for the project environment to enable optimal handrail design.