夏普公司（Sharp Corporation，シャープ株式会社）是一家日本的电器及电子公司，于1912年由创始人早川德次创立，总公司设于日本大阪。 夏普公司自创业以来，开展的业务从收音机、太阳能电池、再到液晶显示器，夏普相继推出了多个“日本首次”、“世界首次”的产品。目前，夏普现已在世界26个国家，64个地区开展业务，是一个大型的综合性电子信息公司。 2016年2月，日本夏普公司同意中国台湾富士康公司提出的收购要约。这是日本技术企业有史以来接受的最大一起海外企业收购。这意味着富士康将对夏普投资超过6500亿日元（约合58亿美元）。夏普董事会全票通过这一收购协议。 2016年3月30日下午，鸿海在台湾证券交易所召开记者会，宣布将投资2888亿日元收购夏普普通股，持有66%的股权；与此同时，还将斥资999.999亿日元购买夏普特别股，共计砸3888亿日元（约合224.7亿人民币）取得夏普过半股权。 2016年8月11日，富士康表示，中国反垄断部门已经批准了公司对夏普的收购交易。这一进展为富士康全面完成38亿美元收购夏普铺平了道路。
We have developed advanced moth‐eyes that are coexisting low reflective and great anti‐fogging properties for displays. There are two types of moth‐eyes, which called hydrophilic moth‐eye and water absorbing moth‐eye. These moth‐eyes provide great visibility to displays.
This paper presents the results, overall architecture, and setup configuration of over-the-air tests performed using a 5G NR-NTN (Non-Terrestrial Network) waveform, in Ku-Band, with satellites of the Eutelsat OneWeb LEO constellation. The tests included a full two-way chain with a 5G core, an NTN-enabled gNB, a 5G NR-NTN modem, and additional equipment described in this paper. The tests allowed to validate basic 5G-NTN features in a real environment, to measure performance, and to execute satellite beam handover according to 3GPP Release 19 specifications.
Image representation is a fundamental task in computer vision. Recently, Gaussian Splatting has emerged as an efficient representation framework, and its extension to 2D image representation enables lightweight, yet expressive modeling of visual content. While recent 2D Gaussian Splatting (2DGS) approaches provide compact storage and real-time decoding, they often produce blurry or indistinct boundaries when the number of Gaussians is small due to the lack of contour awareness. In this work, we propose a Contour Information-Aware 2D Gaussian Splatting framework that incorporates object segmentation priors into Gaussian-based image representation. By constraining each Gaussian to a specific segmentation region during rasterization, our method prevents cross-boundary blending and preserves edge structures under high compression. We also introduce a warm-up scheme to stabilize training and improve convergence. Experiments on synthetic color charts and the DAVIS dataset demonstrate that our approach achieves higher reconstruction quality around object edges compared to existing 2DGS methods. The improvement is particularly evident in scenarios with very few Gaussians, while our method still maintains fast rendering and low memory usage.
Heart rate variability (HRV) analysis is widely used to evaluate autonomic nervous system activity. Although a fixed 16th-order autoregressive (AR) model is commonly used for human short-term frequency-domain HRV analysis, its applicability to dogs has not been validated. This study evaluated the suitability of the fixed 16th-order AR model for canine HRV analysis by comparing HRV indices obtained using AR(16) with those derived from Akaike's Information Criterion (AIC)- and Bayesian Information Criterion (BIC)-selected AR models and the conventional fast Fourier transform (FFT) method. Twenty-three clinically healthy dogs underwent continuous heart rate monitoring for approximately 3 days using a wearable device. One stationary 5-min R-R interval segment was selected from each recording, and frequency-domain HRV indices were calculated using AR(16), AIC-selected AR models, BIC-selected AR models, and FFT. Agreement among methods was evaluated using intraclass correlation coefficients and Bland-Altman analysis. HRV indices obtained using AR(16) showed excellent agreement with AIC-selected model orders and good agreement with FFT, whereas agreement with BIC-selected model orders was lower, particularly for low-frequency-related indices. These findings support the applicability of the conventional fixed 16th-order AR model for canine frequency-domain HRV analysis and provide methodological validation for its use in future veterinary HRV research.
Solar-powered electric vehicle (Solar-EV) applications are very attractive for CO2 emission reduction and creation of new market. The Si tandem solar cells are very promising as VIPV (vehicle integrated photovoltaic) modules because of high-efficiency and low-cost potential. This paper presents our recent results for new world record efficiency (33.7 %) mechanically stacked 4-terminal InGaP/GaAs/Si 3-junction tandem solar cell module with an area of 775 cm2. This paper also presents loss analytical results for losses of various solar cell modules and estimation of solar-EV installed with various solar cell modules such as III-V/Si 3-junction, perovskite/Si 2junction tandem cell modules, Si, GaAs, CdTe, and perovskite single-junction solar cell modules. Under average solar irradiation with 4 kWh/m2/day, solar-EV installed with our 3-junction Si tandem solar cell modules have longer driving range potential of about 28 km/day compared to 25.4 km/day, 21.6 km/day and 15.9 km/day for solar-EV installed with perovskite/Si 2-junction, Si and perovskite single-junction solar cell modules. Regarding perovskite and perovskite/Si tandem solar cell modules, development of high-efficiency, highly reliable and large-area modules is suggested to be essential for vehicle applications. In this paper, thermal degradation rates for perovskite and perovskite/Si tandem solar cell modules were compared with those of Si, III-V multi-junction and III-V/Si tandem solar cell modules.
