摘要：Non-ionic deep eutectic solvents(DESs)are non-ionic designer solvents with various applications in catalysis,extraction,carbon capture,and ***,discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES *** search for DES relies heavily on intuition or trial-and-error processes,leading to low success rates or missed *** that hydrogen bonds(HBs)play a central role in DES formation,we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning(ML)models to discover new DES *** first analyze the HB properties of 38 known DES and 111 known non-DES systems using their molecular dynamics(MD)simulation *** analysis reveals that DES systems have two unique features compared to non-DES systems:The DESs have①more imbalance between the numbers of the two intra-component HBs and②more and stronger inter-component *** on these results,we develop 30 ML models using ten algorithms and three types of HB-based *** model performance is first benchmarked using the average and minimal receiver operating characteristic(ROC)-area under the curve(AUC)*** also analyze the importance of individual features in the models,and the results are consistent with the simulation-based statistical ***,we validate the models using the experimental data of 34 *** extra trees forest model outperforms the other models in the validation,with an ROC-AUC of *** work illustrates the importance of HBs in DES formation and shows the potential of ML in discovering new DESs.

摘要：在高场磁体中,压缩磁径向应力比拉伸应力更受青睐,原因是它能降低磁体绕组内的整体峰值磁应力.这对于无绝缘高温超导(NI HTS)磁体尤为重要,因为压缩径向应力能够产生良好的匝间接触,这对于无绝缘高温超导线圈中的电流共享以及随之而来的自保护行为至关重要.根据关键磁体设计参数(如目标中心场、背景磁场、内外绕组直径和外部径向堆叠),我们给出了可以从解析上确定高场超导磁体具有压缩径向应力的电磁-力学条件.本文提出的方法可以识别干绕线圈中径向匝间接触行为的3种不同模式:(1)完全分离;(2)完全接触;以及(3)混合模式(即部分分离和接触).文章随后提出一种使用完全压缩径向应力电磁-力学条件来计算干绕线圈中应力分布的解析方法.并通过有限元分析示例验证了解析方法与数值方法的良好一致性.文章结果可以帮助磁体工程师在早期设计阶段更好地概览高场超导磁体的电磁-力学行为.

摘要：联合战术信息分发系统（1TIDS）是Link－16数据链系统的通信终端。当Link－16采用双脉冲结构进行传输时，JTIDS是一种序贯分集为二的直接序列／快速跳频混合扩频系统。为了最小化脉冲噪声干扰（PNI）带来的影响，本文设想在lTIDS接收机内设计一个采用噪声归一化合并方法（NNC）的MSK相干解调器。本文研究了在PNI条件下，对双脉冲结构JTIDS波形采用噪声归一化合并方法进行相干检测的误符号率（SER）性能。为便于分析，假定可以实现跳频解跳、序列同步、码片同步、32位码片序列去扰。此外，假设采用最大似然码片检测，而不是最大似然码片序列检测，因为前一种方法对于JTIDS信号来说更为实际。本文对采用NNC、不采用NNC以及已知完整边带信息的结果进行了比较，结果表明对双脉冲结构JTIDS波形进行相干检测时，采用NNC可以有效地减轻PNI带来的系统性能损失。

摘要：Reversible logic has recently gained significant interest due to its inherent ability to reduce energy dissipation,which is the primary need for low-power digital *** of the newest areas of relevant study is reversible logic,which has applications in many areas,including nanotechnology,DNA computing,quantum computing,fault tolerance,and low-power complementary metal-oxide-semiconductor(CMOS).An electrical circuit is classified as reversible if it has an equal number of inputs and outputs,and a one-to-one relationship.A reversible circuit is conservative if the EXOR of the inputs and the EXOR of the outputs are *** addition,quantum-dot cellular automata(QCA)is one of the state-of-the-art approaches that can be used as an alternative to traditional ***,we propose an efficient conservative gate with low power demand and high speed in this ***,we present a reversible gate called ANG(Ahmadpour Navimipour Gate).Then,two non-resistant QCA ANG and reversible fault-tolerant ANG structures are implemented in QCA *** suggested reversible gate is realized through the Miller ***,reversible fault-tolerant ANG is implemented by the 2DW clocking ***,the power consumption of the suggested ANG is assessed under different energy ranges(0.5Ek,1.0Ek,and 1.5Ek).Simulations of the structures and analysis of their power consumption are performed using QCADesigner 2.0.03 and QCAPro *** proposed gate shows great improvements compared to recent designs.

摘要：非接触式传感器相比接触式触觉传感器可以避免与物体直接接触过程中产生的噪声,因而能够获取更有价值的原始数据表征物体内在属性;然而针对非接触式传感器感知的物体属性数据而言,现有算法难以实现单样本学习下的物体准确识别.为解决这一问题,本文提出一种新颖的单样本学习下时序约束稀疏表示方法(one-shot learning with temporally constrained sparse representation,OSLTCSR)用于识别5种不同材料下的50个物体类别.首先将两种原始数据(Lumini光谱和SCiO光谱)并行投影至共享子空间,并且使用聚类典型关联分析法(cluster canonical correlation analysis,C-CCA)计算两种原始数据的聚类相关性特征;其次通过稀疏表示分别计算得到聚类相关性特征数据以及原始数据的编码向量,并利用原始数据的编码向量对相关性特征数据的编码向量进行二次投影映射;然后将两次映射后的原始数据和相关性特征数据进行重构,以充分耦合化两种光谱数据,解决了单样本学习下的数据稀缺问题;进一步地,设计新颖的时序约束稀疏表示方法计算重构后的原始数据和相关性特征数据,以充分考虑每个光谱序列的时序特征;最后与最新的物体识别方法进行实验对比,结果表明提出的OSL-TCSR方法提高了单样本学习情况下的物体识别结果.此外,OSL-TCSR还可灵活迁移至多种应用场景,比如材料识别或纹理识别等.

摘要：Designing logic circuits using complementary metal-oxide-semiconductor(CMOS)technology at the nano scale has been faced with various challenges *** leakage currents,the short-effect channel,and high energy dissipation are some of the ***-dot cellular automata(QCA)represent an appropriate alternative for possible CMOS replacement in the future because it consumes an insignificant amount of energy compared to the standard *** key point of designing arithmetic circuits is based on the structure of a 1-bit full adder.A low-complexity full adder block is beneficial for developing various intricate *** paper represents scalable 1-bit QCA full adder structures based on cell *** proposed full adders encompass preference aspects of QCA design,such as a low number of cells used,low latency,and small area ***,the proposed structures have been expanded to larger circuits,including a 4-bit ripple carry adder(RCA),a 4-bit ripple borrow subtractor(RBS),an add/sub circuit,and a 2-bit array *** designs were simulated and verified using QCA Designer-E version *** tool can estimate the energy dissipation as well as evaluate the performance of the *** results showed that the proposed designs are efficient in complexity,area,latency,cost,and energy dissipation.

摘要：A storage system is the core of a computer,and plays an important role in the sustainable development of emerging strategic industries,such as artificial intelligence,big data,cloud computing,and the Internet of *** stack access is a major factor restricting the performance of data-intensive systems because of the increasing performance of processors and network devices.

摘要：Sweat could be a carrier of informative biomarkers for health status identification;therefore,wearable sweat sensors have attracted significant attention for *** external power source is an important component of wearable sensors,however,the current power supplies,i.e.,batteries,limit further shrinking down the size of these devices and thus limit their application areas and ***,we report a stretchable self-powered biosensor with epidermal electronic format that enables the in situ detec-tion of lactate and glucose concentration in *** biofuel cells serve as self-powered sensing modules allowing the sweat sensor to exhibit a determination coefficient(R2)of 0.98 with a sensitivity of 2.48 mV/mM for lactate detection,and R2 of 0.96 with a sensitivity of 0.11 mV/μM for glucose *** microfluidic channels developed in an ultra-thin soft flexible polydimethylsiloxane layer not only enable the effective collection of sweat,but also provide excellent mechanical properties with stable performance output even under 30%*** presented soft sweat sensors can be integrated at nearly any location of the body for the continuous monitoring of lactate and glucose changes during normal daily activities such as *** results provide a promising approach to develop next-generation sweat sensors for real-time and in situ sweat analysis.

摘要：如今,随着数据需求的增长以及硬件算力性能的提升,人工智能得到越来越广泛的应用.其中,神经网络算法已经被成功地用于解决一些实际问题,例如人脸识别、自动驾驶等.尽管这些算法有着卓越的表现,但其在传统硬件平台上的计算性能仍然不够高效.因而,一些为神经网络算法定制的计算平台应运而生.本文将总结一些典型的神经网络加速器架构设计,包括计算单元、数据流控制、所加速的不同神经网络的特点,以及在新兴计算平台上设计加速器的考量等.最后我们也将提出对神经网络加速器未来的展望.

摘要：System analysts often use software fault prediction models to identify fault-prone modules during the design phase of the software development life cycle. The models help predict faulty modules based on the software metrics that are input to the models. In this study, we consider 20 types of metrics to develop a model using an extreme learning machine associated with various kernel methods. We evaluate the effectiveness of the mode using a proposed framework based on the cost and efficiency in the testing phases. The evaluation process is carried out by considering case studies for 30 object-oriented software systems. Experimental results demonstrate that the application of a fault prediction model is suitable for projects with the percentage of faulty classes below a certain threshold, which depends on the efficiency of fault identification(low: 47.28%; median: 39.24%; high: 25.72%). We consider nine feature selection techniques to remove the irrelevant metrics and to select the best set of source code metrics for fault prediction.