TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering

We present a new pipeline for acquiring a textured mesh in the wild with a single smartphone which offers access to images, depth maps, and valid poses. Our method first introduces an RGBD-aided structure from motion, which can yield filtered depth maps and refines camera poses guided by corresponding depth. Then, we adopt the neural implicit surface reconstruction method, which allows for high-quality mesh and develops a new training process for applying a regularization provided by classical multi-view stereo methods. Moreover, we apply a differentiable rendering to fine-tune incomplete texture maps and generate textures which are perceptually closer to the original scene. Our pipeline can be applied to any common objects in the real world without the need for either in-the-lab environments or accurate mask images. We demonstrate results of captured objects with complex shapes and validate our method numerically against existing 3D reconstruction and texture mapping methods.Comment: Accepted to CVPR23. Project Page: https://jh-choi.github.io/TMO

Future Taxation Schemes for the Co-existence of Labour and Technology: Focusing on Digital Tax, Robot Tax and Carbon Tax

This report examines recent development of taxation policies related to digitalisation and climate change in the UK, France and at the EU/OECD level. It has specific focus on the changing labour market and the role of trade union

Nanomorphology dependence of the environmental stability of organic solar cells

Previous studies have reported contradictory effects of small-molecule acceptors on the environmental stability of polymer:small-molecule blends, with one showing that a small-molecule acceptor stabilizes and another showing that it destabilizes the polymer donor. In this work, to investigate the origin of these contradictory results, the effects of the nanomorphologies of small-molecule acceptors on the environmental stability of polymer:small-molecule blends are demonstrated. Investigations on the environmental stabilities of polymer:fullerene blends of poly[[4, 8-bis[(2-ethylhexyl)oxy]benzo[1, 2-b:4, 5-b′]dithiophene-2, 6-diyl][3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3, 4-b]thiophenediyl]] (PTB7):phenyl-C₆₁-butyric acid methyl ester (PCBM) with contrasting nanomorphologies of PCBM reveal that dispersed PCBM in a mixed phase is the critical factor that causes triplet-mediated singlet oxygen generation and, hence, the severe photooxidation of PTB7, whereas an aggregated PCBM phase stabilizes PTB7 by reducing the formation of PTB7 triplet excitons. In addition, the photooxidation of PTB7 substantially degrades hole transport in the PTB7:PCBM blends by destroying the crystalline PTB7 phases within the films; this effect is strongly correlated with the efficiency losses of the PTB7:PCBM organic solar cells. These conclusions are also extended to polymer:nonfullerene blends of PTB7:ITIC and PTB7:Y6, thereby confirming the generality of this phenomenon for polymer:small-molecule organic solar cells

Fatigue Crack Length Estimation and Prediction using Trans-fitting with Support Vector Regression

A method is described in this paper for crack propagation prediction using only the initial crack length of the target specimen. The proposed method consists of two parts: (1) crack length estimation using support vector regression (SVR) and (2) crack length prediction using a new trans-fitting method. Features based on the filtered wave signals were defined and a model was constructed using the SVR method to estimate the crack length. The hyper-parameters of the SVR model were selected based on a grid search algorithm. Prediction of the crack length was based on the previous crack length, which was estimated based on the wave signals. In this step, a newly proposed trans-fitting method was applied. The proposed trans-fitting method updated the selected candidate function to translocate the trend of crack propagation based on the training dataset. By translocating the trends to the estimated crack length of the target specimen, the crack propagation could be predicted. The proposed method was validated by comparison with given specimens. The results show that the proposed method can estimate and predict the crack length accurately

Hybrid Main Memory for High Bandwidth Multi-Core System

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A Network Congestion-Aware Memory Subsystem for Manycore

The network-on-chip (NoC) plays a crucial role in memory performance due to the fact that it can handle the majority of traffics from/to the DRAM memory controllers. However, there has been little work on the interplay between the NoC and memory controllers. In this article, we address a problem called network congestion-induced memory blocking and propose a novel memory controller, which performs memory access scheduling and network entry control in a network congestion-aware manner. In case of network congestion, in order to avoid performance degradation due to the blocking caused by data bound for congested regions in the NoC, the proposed memory controller favors requests and data associated with uncongested regions. In addition, in order to avoid the fairness problem of such a policy, we also propose a gradual method, which enables a trade-off between performance (in memory utilization) and fairness (in memory access latency). Experimental results show that the proposed method can offer up to 1.76 similar to 2.99 times improvement in memory utilization in the latency-tolerant designs.X111sciescopu

Efficient Li-Ion-Conductive Layer for the Realization of Highly Stable High-Voltage and High-Capacity Lithium Metal Batteries

Recently, a consensus has been reached that using lithium metal as an anode in rechargeable Li-ion batteries is the best way to obtain the high energy density necessary to power electronic devices. Challenges remain, however, with respect to controlling dendritic Li growth on these electrodes, enhancing compatibility with carbonate-based electrolytes, and forming a stable solid???electrolyte interface layer. Herein, a groundbreaking solution to these challenges consisting in the preparation of a Li 2 TiO 3 (LT) layer that can be used to cover Li electrodes via a simple and scalable fabrication method, is suggested. Not only does this LT layer impede direct contact between electrode and electrolyte, thus avoiding side reactions, but it assists and expedites Li-ion flux in batteries, thus suppressing Li dendrite growth. Other effects of the LT layer on electrochemical performance are investigated by scanning electron microscopy, electrochemical impedance spectroscopy, and galvanostatic intermittent titration technique analyses. Notably, LT layer-incorporating Li cells comprising high-capacity/voltage cathodes with reasonably high mass loading (LiNi 0.8 Co 0.1 Mn 0.1 O 2 , LiNi 0.5 Mn 1.5 O 4 , and LiMn 2 O 4 ) show highly stable cycling performance in a carbonate-based electrolyte. Therefore, it is believed that the approach based on the LT layer can boost the realization of high energy density lithium metal batteries and next-generation batteries