- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Image Processing Techniques and Applications
- CCD and CMOS Imaging Sensors
- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Metaheuristic Optimization Algorithms Research
- Risk and Safety Analysis
- Advanced Vision and Imaging
- Advanced Algorithms and Applications
- Infrared Target Detection Methodologies
- Engineering Applied Research
- Machine Fault Diagnosis Techniques
- Optical Systems and Laser Technology
- Acute Myeloid Leukemia Research
- Industrial Vision Systems and Defect Detection
- Optimal Experimental Design Methods
- PI3K/AKT/mTOR signaling in cancer
- Thermal Analysis in Power Transmission
- Optimization and Packing Problems
- Injury Epidemiology and Prevention
- Advanced Measurement and Detection Methods
- Life Cycle Costing Analysis
- Medical Image Segmentation Techniques
- Educational Technology and Assessment
University of Oxford
2021-2025
Delft University of Technology
2020-2023
Eindhoven University of Technology
2023
Korea Maritime and Ocean University
2022
Blood Cancer UK
2021
University of Washington
2018
Korea Advanced Institute of Science and Technology
2017-2018
Korea University of Science and Technology
2016
Korea University
2016
The increasing availability of sensor monitoring data has stimulated the development Remaining-Useful-Life (RUL) prognostics and maintenance planning models. However, existing studies focus either on RUL only, or propose based simple assumptions about degradation trends. We a framework to integrate data-driven probabilistic into predictive planning. estimate distribution using Convolutional Neural Networks with Monte Carlo dropout. These are updated over time, as more measurements become...
Aircraft maintenance is key for safe and efficient aircraft operations. While most studies propose cost-efficient strategies, the safety efficiency of these strategies need to be quantified. This paper proposes a formal framework assess by means agent-based modelling, stochastically dynamically coloured Petri nets, Monte Carlo simulation. We model an end-to-end process, considering several stakeholders. apply our landing gear brakes, use Gamma process degradation trends brakes. The numerical...
In this paper, we present an energy-efficient architecture of the Canny edge detector for advanced mobile vision applications. Three key techniques reducing computational complexity are presented. First, by exploiting rank characteristic convolution kernel Gaussian smoothing and Sobel gradient filters, common computations identified shared in image filter design to reduce number additions multiplications. For magnitude/direction computation, only three directions neighboring pixels...
Abstract The BCL2-inhibitor, Venetoclax (VEN), has shown significant anti-leukemic efficacy in combination with the DNMT-inhibitor, Azacytidine (AZA). To explore mechanisms underlying selective sensitivity of mutant leukemia cells to VEN and AZA, we used cell-based isogenic models containing a common leukemia-associated mutation epigenetic regulator ASXL1 . KBM5 CRISPR/Cas9-mediated correction G710X showed reduced leukemic growth, increased myeloid differentiation, decreased HOXA BCL2 gene...
Aircraft maintenance design aims to identify strategies that render the aircraft reliable for flight in a cost-efficient manner. These are often conflicting objectives. Moreover, existing studies on limit themselves only one type of strategy, overlooking other potentially dominating designs. We propose framework with explicit reliability and cost-efficiency explore space variety ranging from traditional time-based predictive maintenance. To this space, we an adaptive algorithm using Gaussian...
We sought to identify new candidate drugs for repurposing myelodysplastic syndromes (MDS). Connectivity map analysis was performed on gene expression signatures generated from bone marrow CD34+ cells of splicing factor mutant MDS patients. Celastrol and Withaferin A (WA), two top-ranking compounds identified, markedly inhibited proliferation, arrested the cell cycle induced apoptosis in leukaemia cells. These also viability primary showed that WA inhibit interleukin-1 receptor-associated...
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to predictive maintenance for aircraft. This paper discusses emerging challenges aircraft maintenance. We identify new hazards associated with introduction technologies into using a structured brainstorming conducted panel experts. is facilitated by prior modeling process as an agent-based model. As result, we 20 validate these in context maintenance-related incidents that occurred...
Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few focus on integrating these RUL into maintenance planning frameworks. This paper proposes an optimization model opportunistic scheduling of that integrates and groups to reduce costs. We illustrate our approach a fleet aircraft, each equipped with multiple landing gear brakes. brakes are obtained using Bayesian regression model. Based prognostics, we group replacement...
Rhabdomyosarcoma is the most common type of pediatric soft-tissue sarcoma. Among subsets this disease, alveolar rhabdomyosarcoma (ARMS) expressing paired box 3 (PAX3) and forkhead O1 (PAX3-FOXO1) fusion oncoprotein has worst prognosis. The goal study was to investigate chemotherapeutic effects sphingosine on PAX3-FOXO1-positive ARMS cells [tumor protein p53 (TP53)-mutated RH30 TP53 wild-type RH18 cells].The proliferation, cell death, apoptosis, cycle, MYCN proto-oncogene (MYCN) expression...
Real-time rectification of stereo cameras is critical for stereoscopy in 3D vision and display. FPGA-based has been suffering from the usage large internal memory inside FPGA. The paper proposes a real-time approach using variable breakpoint indexing enhanced compressed look-up table algorithm (E-CLUTR) order to reduce size FPGA get wider field-of-view (FoV) high-distortion lenses. proposed was successfully simulated Altera ModelSim 10.4b. It shown that reduced by 58∼65% compared with...
SUMMARY & CONCLUSIONAs aircraft maintenance is transitioning towards data- driven condition-based (CBM), its cost and performance objectives need to be re-evaluated: how are these related under various CBM strategies?; which conflicting?; what the trade-offs between conflicting objectives?; impact of this transition on maintenance? We propose a methodology based discrete-event simulation analyze from perspective multiple objectives. The considers an operations model, systems multiple,...
Robust plane extraction from point cloud is important for 3D environment modeling in autonomous navigation and object manipulation robotics. Conventional approaches using repetitive decomposing merging process, however, suffered low accuracy when the data density or varies significantly. In this paper, a fast robust algorithm introduced by proposing an expansion stage after every decomposition unlike traditional decompose-and-merge that continue to decompose until terminal condition reached....
The paper presents alow complexity hardware architecture of CMOS color stereo camera for real-time 3D vision applications. To minimize the complexity, two key ideas are applied. Firstly, a sharing line-by-line overlapped convolution kernels is proposed to reduce number arithmetic operations in demosaicing bayer RGB images without image quality degradation. Secondly, an adaptive sync compensation module synchronize master/slave sensors, and display devices by compensating signals period slave...
본 연구에서는 극초음속 충격파 풍동시험에 대한 적응적 실험 계획법 기반 접근법을 소개한다. 원뿔형 모델의 피치 모멘트를 받음각과 각속도에 함수로 모델링하기 위해 일련의 실험들을 수행하였다. 또한 다수의 시계열 데이터를 효과적으로 분석하기 초고속 카메라를 통해 획득한 이미지로부터 궤적을 구성하기 위한 알고리즘을 개발하였다. 해당 활용해 이전 실험에 분석 결과를 토대로 다음 실험점을 결정하는 계획법을 제안한다.
Predictive aircraft maintenance is a complex process, which requires the modeling of stochastic degradation systems, as well dynamic interactions between stakeholders involved.In this paper, we show that stochastically and dynamically colored Petri nets (SDCPNs) are able to formalize predictive process.We model their using local SDCPNs.The systems also modeled SDCPNs where tokens change colors according process.These SDCPN models integrated into unifying entire illustrate our approach for...
본 논문은 저면적 gradient magnitude 연산을 위한 하드웨어 구조를 제안한다. 복잡도를 줄이기 위해 정사영 벡터의 특징 및 자원 공유기법을 이용했다. 제안된 구조는 연산 알고리즘의 변형 없이 구현되었기 때문에 데이터 품질의 열화 구현될 수 있다. 하드웨어는 Altera Quartus II v15.0 환경에서 Cyclone VI (EP4CE115F29C7N) FPGA를 이용하여 구현되었다. 구현 결과, 기존 구현한 연산기와의 비교에서 15%의 logic elements 38%의 embedded multiplier 절감 효과가 있음을 확인했다. In this paper, a hardware architecture of low area calculator is proposed. For the complexity reduction, characteristic orthogonal projection vector and resource sharing technique are...
Predictive maintenance is a new approach to replacing components based on the data-driven Remaining-Useful-Life (RUL) prognostics.However, implementing predictive remains challenging for aircraft.First, as aircraft requires high reliability, it necessary quantify uncertainty of predicted RUL.Moreover, multi-component systems should be planned considering updated RUL distributions individual and complex cost models.This paper proposes an integrated method systems.We estimate probability...
In conventional analysis methods for power systems, a static transmission line model has traditionally been used, assuming that the conductor temperature remains constant. However, due to factors such as amount of current flowing through and external influences, including weather conditions, heat energy entering leaving fluctuates, leading changes in resistance. This paper aims analyze impact conditions on and, consequently, alteration active losses within large system. The utilizes balance...
본 논문에서는 저전력 영상 특징 추출 하드웨어 설계를 위한 폴딩 기법 기반 저면적 Gradient magnitude 연산기 구조를 제안한다. 복잡도를 줄이기 위해 벡터의 특징을 분석하여 기존 알고리즘을 하드웨어를 공유하여 사용할 수 있는 알고리즘으로 변경하여 Folding 구조가 적용될 있도록 했다. 제안된 구조는 알고리즘의 최대한 이용했기 때문에 데이터 품질의 열화가 거의 없이 구현될 있다. Altera Quartus II v16.0 환경에서 Cyclone VI (EP4CE115F29C7N) FPGA를 이용하여 구현되었다. 구현 결과, 구현한 연산기와의 비교에서 41%의 logic elements, 62%의 embedded multiplier 절감 효과가 있음을 확인했다. In this paper, a gradient hardware architecture based on folding design method is proposed for low power image...