Reference guided image super-resolution via efficient dense warping and adaptive fusion

Due to the limited improvement of single-image based super-resolution (SR) methods in recent years, the reference based image SR (RefSR) methods, which super-resolve the low-resolution (LR) input with the guidance of similar high-resolution (HR) reference images are emerging. There are two main challenges in RefSR, i.e. reference image warping and exploring the guidance information from the warped references. For reference warping, we propose an efficient dense warping method to deal with large displacements, which is much faster than traditional patch (or texture) matching strategy. For the SR process, since different reference images complement each other, and have different similarities with the LR image, we further propose a similarity based feature fusion strategy to take advantage of the most similar reference regions. The SR process is realized by an encoder–decoder network and trained with pixel-level reconstruction loss, degradation loss and feature-level perceptual loss. Extensive experiments on three benchmark datasets demonstrate that the proposed method outperforms state-of-the-art SR methods in both subjective and objective measurements.     

Achieving excellent energy storage density of Pb0.97La0.02(ZrxSn0.05Ti0.95-x)O3 ceramics by the B-site modification

The applications of antiferroelectric (AFE) materials in miniaturized and integrated electronic devices are limited by their low energy density. To address the above issue, the antiferroelectricity of the reinforced material was designed to improve its AFE-ferroelectric (FE) phase transition under electric fields. In this present study, the composition of Zr⁴⁺ (0.72 Å) and Ti⁴⁺ (0.605 Å) at B-site of Pb_0.97La_0.02(Zr_xSn_0.05Ti_0.95-x)O₃ ceramics with orthogonal reflections are synthesized via the tape-casting method. These ceramics are modified to enhance their antiferroelectricity by reducing their tolerance factor. A recoverable energy storage density W_rec 12.1 J/cm³ was obtained for x = 0.93 under 376 kV/cm, which is superior value than reported until now in lead-based energy storage systems. Moreover, the discharge energy density can reach 10.23 J/cm³, and 90 % of which can be released within 5.66 μs. This work provides a new window and potential materials for further industrialization of pulse power capacitors.     

乙醇浓度预测的多元线性回归模型建立及验证

设计了由光源、气室、探测器和控制器等组成的非分散红外吸收系统，往气室内通入不同浓度的多组分气体（含有乙醇、二氧化碳和水蒸气），采用红外光谱仪进行光谱数据采集，得到多组分气体混合光谱图。根据数据集样本求解回归系数，建立了多元线性回归模型，并进行干扰修正以降低二氧化碳和水蒸气对乙醇浓度预测的影响。对建立的多元线性回归模型进行评价，结果表明:模型真实有效且具有良好的线性回归效果，可以用于预测气体浓度，乙醇、二氧化碳和水蒸气浓度预测误差均在可接受的范围之内，其中乙醇浓度预测误差最小，不超过2.0×10-4。通过干扰修正尽可能排除二氧化碳和水蒸气的干扰，能够较准确地预测乙醇浓度。     

Research on children's personalized sports in the environment of smart wearable devices

The audit point is to understand and use to perform the upgrade wearable innovation injuries in sports. Understanding the game's biomechanics is that damage response and performance upgrades are essential, and usually, investigation uses optical motion capture. In any case, this approach may be limited by the amount of limit catch climatic factors and the overwhelmed wearable research center of innovation. Ordered to make queries are used to study in seven information centers and sports car wearable innovation factors. This article was banned because they do not measure the program members on the sensor zero and the motor or motor factors or the application of an innovative set. Thirty-three incorporated into the collection of the full text of the survey carried out to identify members' dynamic development through observation and a slice of wearable progress in the game. Inertial sensors, the sensor and the flexible, attractive and precise speed field sensors are used in the game with more than 15 measured motion gadgets. The use of wearable innovation, the potential of these innovative practices, and the impact of competitors' training methods are still in the exploratory stage.     

Lithiophilic MXene-Guided Lithium Metal Nucleation and Growth Behavior

The positive effects of a lithiophilic substrate on the electrochemical performance of lithium metal anodes are confirmed in several reports, while the understanding of lithiophilic substrate-guided lithium metal nucleation and growth behavior is still insufficient. In this study, the effect of a lithiophilic surface on lithium metal nucleation and growth behaviors is investigated using a large-area Ti₃C₂T_x MXene substrate with a large number of oxygen and fluorine dual heteroatoms. The use of the MXene substrate results in a high lithium-ion concentration as well as the formation of uniform solid–electrolyte-interface (SEI) layers on the lithiophilic surface. The solid–solid interface (MXene-SEI layer) significantly affects the surface tension of the deposited lithium metal nuclei as well as the nucleation overpotential, resulting in the formation of uniformly dispersed lithium nanoparticles ( ≈ 10–20 nm in diameter) over the entire MXene surface. The primary lithium nanoparticles preferentially coalesce and agglomerate into larger secondary particles while retaining their primary particle shapes. Subsequently, they form close-packed structures, resulting in a dense metal layer composed of particle-by-particle microstructures. This distinctive lithium metal deposition behavior leads to highly reversible cycling performance with high Columbic efficiencies >  99.0% and long cycle lives of over 1000 cycles.     

Application of web embedded system and machine learning in english corpus vocabulary recognition

Built-in applications built on a stand-alone device, TCP / IP network and interconnected are a need for high integration with other systems. The system provided through Web services interconnects service-oriented distributed architecture. The TCP / IP network is widely employed to integrate business applications. This integration is still not provided through the embedded application. The applications connected to the Internet are an especially difficult problem in embedded systems to interpret the sensor data. Real-time sensor function generates a training/classification result for IoT application selected, customized, or data structure design. It has an integrated hardware/software system to achieve the continuous training and real-time data analysis and re-training of Machine Learning (ML) algorithm. World of English native speakers on top of all, this is the database of words that have been separated from the local and non-collection English. It also reported a variety of methods that are used in the English vocabulary recognition system. Please check the study of learners of mediation based on the part of the corpus. Students, in writing, too much-advanced technology and general vocabulary. These students, publicly their discourse in and contributed to the professional corpus of "existence" I mentioned that there is a professional writer, is better. To stimulate the different means of integration, it evaluated several network technology today, discussing the balance between the use of shared with this integration in the adaptability and built-in the field of Web network technology of today.     

高空间照明均匀度植物光源系统的设计

传统的植物照明设计只针对单一参考面均匀度进行评价，难以满足植物在整个生长过程中对均匀光照环境的需求。针对这一问题，首先提出了空间照明均匀度评价体系，并基于该体系设计了一种复合光源模块的立体化照明系统，以期构建照明均匀的植物生长空间。进一步利用Taguchi方法优化实验过程，在结合ANOVA分析的基础上，获得了最优结构参数。最后对所得最优解进行灯珠形状分析和植物生长过程中的照明效果测试。实验结果表明:最优结构可提供一个水平参考面照度均匀度为87.22%，混色均匀度为90.11%；竖直参考面照度均匀度93.02%，混色均匀度91.43%的均匀照明空间。该植物光源系统可满足植物生长过程中对均匀空间照明环境的需求。     

An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment

Wireless Personal Communications - With the enhancing demand of the cloud computing products, task scheduling issue has become the hot study topic in this area. The task scheduling issue of the...