A5069623445- Quantum Dots Synthesis And Properties
- Chalcogenide Semiconductor Thin Films
- Multimedia Communication and Technology
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Telecommunications and Broadcasting Technologies
- Perovskite Materials and Applications
- Nanowire Synthesis and Applications
- Automated Road and Building Extraction
- Video Coding and Compression Technologies
- Graph Theory and Algorithms
- Multimodal Machine Learning Applications
- Security in Wireless Sensor Networks
- Polyoxometalates: Synthesis and Applications
- Graphite, nuclear technology, radiation studies
- Data Management and Algorithms
- Advanced Photocatalysis Techniques
- Robotics and Sensor-Based Localization
- Caching and Content Delivery
- Recycling and Waste Management Techniques
- Video Surveillance and Tracking Methods
- Advanced Graph Neural Networks
- Mobile Ad Hoc Networks
- Semiconductor Quantum Structures and Devices
- Industrial Vision Systems and Defect Detection
Sungkyunkwan University
2024-2025
Korea Advanced Institute of Science and Technology
2024-2025
Yeungnam University
2018
Pusan National University
2012
Abstract Colloidal quantum dots (CQDs) are powerful components for next‐generation infrared (IR) optoelectronic devices owing to their confinement‐based bandgap‐tunability, cost‐efficiency, and solution‐processability. The strong absorption feature of CQDs from the near‐infrared short‐wavelength renders them ideal as absorbers in both photovoltaics (PVs) photodetectors (PDs). To effectively integrate into these devices, a better understanding film properties refined approach material device...
While the shape-dependent quantum confinement (QC) effect in anisotropic semiconductor nanocrystals has been extensively studied, QC facet-specified polyhedral dots (QDs) remains underexplored. Recently, tetrahedral have gained prominence III–V nanocrystal synthesis. In our study, we successfully synthesized well-faceted InAs QDs with a first excitonic absorption extending up to 1700 nm. We observed an unconventional sizing curve, indicating weaker than for equivalently volumed spherical...
Abstract Colloidal quantum dots (CQDs) with tunable bandgaps in the NIR‐SWIR range are highly valued for infrared applications including LiDAR, interactive displays, and biometrics. Particularly, environmental considerations, photodetectors (PDs) using InAs CQDs actively being explored. However, their performance still lags behind that of Pb‐based devices. Herein, an effective strategy to improve photodetection characteristics CQD PDs by enhancing incident photon usage is presented. By...
For scalable autonomous driving, a robust map-based localization system, independent of GPS, is fundamental. To achieve such localization, online high-definition (HD) map construction plays significant role in accurate estimation the pose. Although recent advancements HD have predominantly investigated on vectorized representation due to its effectiveness, they suffer from computational cost and fixed parametric model, which limit scalability. alleviate these limitations, we propose novel...
Achieving high detectivity in photodiodes requires the effective suppression of dark current under operational conditions. In this study, we investigate colloidal quantum dot short-wavelength infrared (SWIR) and demonstrate a significant reduction external bias This is achieved through incorporation injection-blocking layers (IBLs), specifically molybdenum oxide (MoOx), at electrode interfaces. approach helps maintain flat current-voltage (J-V) characteristics, even applied biases. Our...
Inferring traffic object such as lane information is of foremost importance for deployment autonomous driving. Previous approaches focus on offline construction HD map inferred with GPS localization, which insufficient globally scalable To alleviate these issues, we propose online learning framework that detects elements from onboard sensor observations. We represent the a graph; InstaGraM, instance-level graph modeling brings accurate and fast end-to-end vectorized learning. Along strategy,...
Abstract Harvesting infrared (IR) sunlight using colloidal quantum dots (CQDs) holds significant promise for optoelectronic devices including photovoltaics (PVs) and self‐powered sensors. Traditionally, Pb chalcogenides have been utilized in energy devices, but needs RoHS compliance derive the development of Pb‐free alternatives. A key challenge with materials is low photovoltage primarily due to recombination surface defects interfaces within architectures. Here, CQD PVs capable harvesting...
The deployment of autonomous vehicles and mobile robots requires light, fast, robust visual place recognition strategies. While has proven effective in favorable conditions, its performance quickly drops when faced with abundant cues, such as repeating image patterns commonly found driving environments. To address this problem, a new representation that incorporates geometric cues structural semantics can also be utilized to find the position an agent distribute reliance on cues. In letter,...
The flooding is the simplest and effective way to disseminate a packet all nodes in wireless sensor network (WSN). However, basic makes transmit at least once, resulting broadcast storm problem serious case, turn resources become severely wasted. In order solve problem, this paper proposes dynamic probabilistic that utilizes neighbor information like numbers of child sibling nodes. Intuitively, more there are, higher probability delivered by one Meanwhile, if node has many its retransmission...
Recent advancements in camera-based 3D object detection have introduced cross-modal knowledge distillation to bridge the performance gap with LiDAR detectors, leveraging precise geometric information point clouds. However, existing methods tend overlook inherent imperfections of LiDAR, such as ambiguity measurements on distant or occluded objects, which should not be transferred image detector. To mitigate these teacher, we propose a novel method that leverages aleatoric uncertainty-free...
본 논문은 모바일 방송망에서 고화질의 3D 방송 서비스를 제공하는 방법을 제안한다. 제안방법에서는 제한된 방송망의 대역폭을 극복하는 방법으로 오디오와 비디오를 방송망과 이동통신망으로 구성된 이종망을 통해 전달한다. 특히 서로 다른 망을 각각 전송되는 스테레오스코픽 좌/우 영상을 동기화하는 논문에서의 동기화 방법은 RTP(Real Time Protocol)의 초기 타임스탬프(Timestamp)로부터의 옵셋을 이용하여 영상의 프레임(Frame) 순서를 구별하고 동일한 시점에 재생되어야 하는 쌍을 찾는다. 마지막으로 타임스탬프를 얻기 위한 시그널링(Signaling)방법을 제시한다. This paper proposes a method to provide the high quality broadcasting service in mobile system. In this method, audio and video data are delivered through heterogeneous...
This paper proposes a method to provide the frame synchronization for high quality 3D broadcasting service in mobile system. In this method, left and right video frames are delivered through heterogeneous network which consists of network, overcome limited bandwidth network. Then it is more difficult synchronize coming different types networks. beginning, proposed uses only offset from initial timestamp RTP (Real Time Protocol) determine order find pair that must be played at same time....
This paper proposes advanced service models to enhance the QoE (quality-of-experience) of users in mobile broadcasting communication system. The temporary out-of-service due error and long delay for channel switching are considered as most significant problems To resolve these problems, this suggests four models. Three them deal with errors rest one is reduce delay. PSNR (Peak Signal-to-Noise Ratio) value transmitted data compared evaluate performance proposed simulation results show that...