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Development of Location-Data-Based Orchard Passage Map Generation Method
Get PDFCurrently, pest control work using speed sprayers results in increasing numbers of safety accidents such as worker pesticide poisoning and rollover of vehicles during work. To address this, there is growing interest in autonomous driving technology for speed sprayers. To commercialize and rapidly expand the use of self-driving speed sprayers, an economically efficient self-driving speed sprayer using a minimum number of sensors is essential. This study developed an orchard passage map using location data acquired from positioning sensors to generate autonomous driving paths, without installing additional sensors. The method for creating the orchard passage map presented in this study was to create paths using location data obtained by manually driving the speed sprayer and merging them. In addition, to apply the orchard passage map when operating autonomously, a method is introduced for generating an autonomous driving path for the work start point movement path, work path, and return point movement path. © 2024 by the authors.TRUEsciescopu
Porous Random Aromatic Copolymers for Rapid Removal of Diverse Aromatic Pollutants via Charge Transfer Interactions
No full textDiverse aromatic pollutants;Mixed ionic dyes;Adsorption;Porous random aromatic copolymers;Charge transfer interactionsList of Contents
Abstract i
List of Abbreviations and Symbols ii
List of Contents · iv
List of Tables and Figures v
Ⅰ. Introduction
1.1 Freshwater scarcity 1
1.2 Water pollution · 1
1.3 Aromatic pollutants in water: cationic and anionic dyes · 2
1.4 Adsorption 3
1.4.1 Electrostatic (charge transfer) interactions 3
1.4.2 Hydrogen bonding · 4
1.4.3 π- π interactions· 4
1.4.4 Hydrophobic interactions 4
1.5 Adsorbent · 4
1.5.1 Resorcinol-formaldehyde (RF) resin · 4
1.5.2 Doped benzoquinone-pyrrole (D-BQ-PY) · 5
1.5.3 RF resin/D-BQ-PY complex · 5
Ⅱ. Experimental
2.1 Materials 6
2.2 Instruments and Characterizations 6
2.3 Synthesis of RF resin 6
2.4 Synthesis of BQ-PY · 6
2.5 Synthesis of D-BQ-PY · 7
2.6 Batch adsorption test 7
2.7 Regeneration test 7
Ⅲ. Results and Discussion
3.1 Structures and chemical properties 10
3.2 Adsorption performance 13
Ⅳ. Conclusion · 21
Ⅴ. References 22
Ⅵ. Korean Summary 28
List of Tables and Figures
Figure 1.1 1
Figure 1.2 2
Figure 1.3 3
Figure 2.1 8
Figure 2.2 8
Scheme 3 9
Figure 3.1 · 10
Figure 3.2 · 11
Figure 3.3 · 11
Figure 3.4 · 13
Figure 3.5 · 14
Figure 3.6 · 14
Figure 3.7 · 15
Figure 3.8 · 15
Table 3.1 16
Table 3.2 16
Figure 3.9 · 16
Figure 3.10 17
Figure 3.11 18
Table 3.3 19
Figure 3.12 19MasterdCollectio
Water-Ion Interaction Determines the Mobility of Ions in Highly Concentrated Aqueous Electrolytes
No full textSolvation engineering plays a critical role in tailoring the performance of batteries, particularly through the use of highly concentrated electrolytes, which offer heterogeneous solvation structures of mobile ions with distinct electrochemical properties. In this study, we employed spectroscopic techniques and molecular dynamics simulations to investigate mixed-cation (Li+/K+) acetate aqueous electrolytes. Our research unravels the pivotal role of water in facilitating ion transport within a highly viscous medium. Notably, Li+ cations primarily form ion aggregates, predominantly interacting with acetate anions, while K+ cations emerge as the principal charge carriers, which is attributed to their strong interaction with water molecules. Intriguingly, even at a concentration as high as 40 m, a substantial amount of water molecules persistently engages in hydrogen bonding with one another, creating mobile regions rich in K+ ions. Our observations of a redshift of the OH stretching band of water suggest that the strength of the hydrogen bond alone cannot account for the expansion of the electrochemical stability window. These findings offer valuable insights into the cation transfer mechanism, shedding light on the contribution of water-bound cations to both the ion conductivity and the electrochemical stability window of aqueous electrolytes for rechargeable batteries. Our comprehensive molecular-level understanding of the interplay between cations and water provides a foundation for future advances in solvation engineering, leading to the development of high-performance batteries with improved energy storage and safety profiles. © 2024 American Chemical SocietyFALSEsciescopu
조기 유발된 소포체 스트레스 관련 인자들이 파킨슨병 조기 보상 기전에 기여
No full textParkinson’s disease (PD);mitochondrial compensatory mechanism;ER stress;disease progressionMasterdCollectio
IMPLANTABLE BIOSENSOR
No full textProvided is an implantable biosensor including an intermediate layer; a first electrode layer provided on one surface of the intermediate layer and including a first electrode configured to react with a bio material and an auxiliary electrode electrically connected to the first electrode; and a second electrode layer provided on another surface of the intermediate layer to face the first electrode layer and including a second electrode operating as a reference electrode
1T-TaS2 와 cellulose nanocrystal 을 통해 살펴본 제일 원리 계산을 활용한 층간 상호작용에 의해 나타나는 다양한 물성 연구
No full text범밀도함수론 (DFT);전하밀도파 (CDW);층간 상호작용;셀룰로오스 나노 결정;이차원 전이금속 칼코겐화합물 (2D-TMD)Abstract i
List of Contents ii
List of tables iii
List of figures vi
I. Introduction 1
1.1 Interlayer interaction 1
1.1.1 Interlayer interaction in the heterojunction of 2D transition metal dichalcogenides 2
1.1.2 Interlayer electron transport 3
1.2 Charge density wave 5
1.2.1 The various patterns of crystals caused by charge density wave 6
1.2.2 The phase transition of 1T-TaS2 by the CDW distortion 9
1.3 Cellulose nanocrystal 10
1.3.1 The simulation of cellulose nanocrystals 17
1.4 Surface transfer doping 19
II. Theoretical Frameworks 21
2.1 Density functional theory (DFT) 21
2.1.1 Many-body Schrödinger equation 23
2.1.2 Mean-field approximation 26
2.1.3 Hartree-Fock approximation 28
2.1.4 Kohn-Sham equation 29
2.1.5 Local-density approximation & generalized gradient approximation 30
2.1.6 Modern DFT algorithm 32
2.1.7 Basis set 33
2.1.7.1 Linear combination of atomic orbitals (LCAO) 34
2.1.7.2 Projector augmented plane wave method (PAW) 34
2.1.8 Time dependent density functional theory (TDDFT) 35
III. Results and discussions I: 1T-TaS2 case 38
3.1 1T-TaS2 structural optimization & 1T-TaS2 /MX2 model construction 38
3.1.1 1T-TaS2 structural optimization 39
3.1.2 The MX2 candidates for 1T-TaS2 /MX2 model 41
3.2 The photoexcitation of 1T-TaS2 /MX2 model 43
3.2.1 The ultrafast phase transition transfer dynamics of 1T-TaS2 monolayer 45
3.2.2 The ultrafast phase transition transfer dynamics of 1T-TaS2 /MX2 model 46
3.3 Conclusion 51
IV. Results and discussions II: Cellulose nanocrystal case 52
4.1 Structural optimization 52
4.2 Optical and electric properties of cellulose nanocrystal 56
4.2.1 Optical properties of cellulose nanocrystal 57
4.2.2 Electric properties of cellulose nanocrystal 61
4.3 Doping methods of cellulose nanocrystal 63
4.3.1 p-type doping method 66
4.3.1.1 F4-TCNQ families 67
4.3.1.1.1 Molecular doping 68
4.3.1.1.2 Crystal doping 69
4.3.1.2 CN6-CP 72
4.3.2 n-type doping method 73
4.3.2.1 Intercalation 74
4.3.2.2 Surface functionalization of cellulose nanocrystal 78
4.3.2.2.1 Halogens 78
4.3.2.2.2 Others 81
4.4 Conclusion 82
V. References 84
VI. Korean summary 98DoctordCollectio
MULTI-LAYERED NANOPARTICLES HAVING NARROW FULL WIDTH AT HALF MAXIMUM AND HIGH QUANTUM EFFICIENCY AND FABRICATING METHOD THEREOF
No full text본 발명은 좁은 발광반치폭과 높은 양자효율을 갖는 다층구조 나노입자 및 그 제조 방법에 관한 것으로, 보다 구체적으로, 다층구조 나노입자의 코어 및 쉘 구조에서 쉘을 구성하는 물질들 사이의 격자 상수 결함을 해소하기 위하여 쉘을 구성하는 물질들 사이에 격자 상수 결함을 해소하는 물질을 삽입하여 InP, ZnSe, ZnSeS 및 ZnS의 코어 및 쉘 구조를 이루는 다층구조 나노입자를 제조함에 따라 좁은 발광반치폭과 높은 양자효율을 갖는 다층구조 나노입자를 구현하는 기술에 관한 것으로, 본 발명의 일실시예에 따른 다층구조 나노입자는 InX계 시드를 포함한 혼합물에 Zn(In)X계 클러스터를 연속 주입하여 형성되는 InX계 코어, 상기 혼합물에 셀레늄 화합물 및 아연 전구체를 넣어 상기 InX계 코어 상에 코팅되는 제1 쉘, 상기 혼합물에 셀레늄과 황의 화합물 및 아연 전구체를 넣어 상기 제1 쉘 상에 코팅되는 제2 쉘 및 상기 혼합물에 황 화합물 및 아연 전구체를 넣어 상기 제2 쉘 상에 코팅되는 제3 쉘을 포함할 수 있다
계층 메모리 시스템에서 효과적인 접근 빈도 측정을 위한 페이지 탐색 기법
No full textTiered Memory System;Page Table Monitor; Physical Memory Address; Page Table WalkAbstract
List of Contents
I. Introduction
II. Background and Motivation
2.1. Tiered Memory System
2.2. Demand Paging and Page Fault
2.3. Performance Impact of Slow Memory
2.4. Effective Page Management Through Monitor
III. Related Work
3.1. NUMA Hint Fault
3.2. PEBS: Processor Event-Based Sampling
3.3. Page Table-Based
IV. Page Scan Acceleration by Dynamically Eliminating Page Table Walk
4.1. Challenges
4.1.1. Migration
4.1.2. De-allocation
4.1.3. Allocation
4.2. Main Architecture
4.2.1. Physical Memory Address List Initialization
4.2.2. Access Pattern Monitoring
4.2.3. Thresholds of Page Fault Tracking and Synchronization
4.2.4. Page Fault Tracking
4.2.5. Synchronize
V. Evaluation
5.1. Experimental Methodology
5.2. Performance with Monitoring
5.2.1. Monitoring Overhead
5.2.2. Page Fault Tracking Overhead
5.2.3. Application Performance
5.3. Threshold Optimization
5.3.1. Page Fault Threshold
5.3.2. Synchronization Threshold and Time Window
5.3.3. Number of Untracked Pages to Tolerate
5.4. Effect of LRU and LFU
5.5. Comparison with PEBS
5.6. Overhead of Physical Memory Address List
VI. Conclusion
References
요약문MasterdCollectio
인돌리시딘 유래 항균 펩타이드의 생물물리학적 특성에 대한 연구
No full textAntimicrobial peptide;Amphipathicity;Structural rigidity;Membrane selectivity;Mode of actionⅠ. Introduction 1
Ⅱ. Materials and methods 2
2.1 Peptide synthesis 2
2.2 Optical Diffraction Tomography (ODT) assay 3
2.3 Nuclear Magnetic Resonance (NMR) 3
2.4 Simulation 6
Ⅲ. Results 7
3.1 Tomographic analysis of E. coli 7
3.2 Tomographic analysis of sRBCs 7
3.3 NMR Experiments and Structural Model Calculation 11
3.4 Simulation 15
Ⅳ. Discussion 20
References 23MasterdCollectio
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation
No full textNuclei segmentation plays a crucial role in disease understanding and diagnosis. In whole slide images, cell nuclei often appear overlapping and densely packed with ambiguous boundaries due to the underlying 3D structure of histopathology samples. Instance segmentation via deep neural networks with object clustering is able to detect individual segments in crowded nuclei but suffers from a limited field of view, and does not support amodal segmentation. In this work, we introduce a dense feature pyramid network with a feature mixing module to increase the field of view of the segmentation model while keeping pixel-level details. We also improve the model output quality by adding a multi-scale self-attention guided refinement module that sequentially adjusts predictions as resolution increases. Finally, we enable clusters to share pixels by separating the instance clustering objective function from other pixel-related tasks, and introduce supervision to occluded areas to guide the learning process. For evaluation of amodal nuclear segmentation, we also update prior metrics used in common modal segmentation to allow the evaluation of overlapping masks and mitigate over-penalization issues via a novel unique matching algorithm. Our experiments demonstrate consistent performance across multiple datasets with significantly improved segmentation quality. © 2024 Elsevier LtdFALSEsciescopu