The stable operation of lithium-based batteries at low temperatures is critical for applications in cold climates. However, low-temperature operations are plagued by insufficient dynamics the bulk electrolyte and electrode|electrolyte interfaces. Here, we report a quasi-solid-state polymer with an ionic conductivity 2.2 × 10-4 S cm-1 -20 °C. prepared via situ polymerization using 1,3,5-trioxane-based precursor. polymer-based enables dual-layered solid interphase formation on Li metal...

Due to the strict requirements of extremely high accuracy and fast computational speed, real-time transient stability assessment (TSA) has always been a tough problem in power system analysis. Fortunately, development artificial intelligence big data technologies provide new prospective methods this issue, there have some successful trials on using intelligent method, such as support vector machine (SVM) method. However, traditional SVM method cannot avoid false classification,...

The real-time transient stability assessment (TSA) and emergency control are effective measures to suppress accident expansion, prevent system instability, avoid large-scale power outages in the event of failure. However, is extremely demanding on computing speed, traditional method not competent. In this paper, an improved deep belief network (DBN) proposed for fast stability, which considers structural characteristics construction loss function. Deep learning has been many fields, but...

This letter illustrates how a challenging problem be solved by assuring the adequacy of raw information and using an appropriate deep learning network to extract relevant information. The concerned is accurate monitoring penetration, in fully penetrated weld pool, as quantified width on back-side workpiece. penetration occurs below workpiece surface not visible. A popular method use pool image derive it. Analysis physical process suggests that single does contain adequate but most recent...

Micro/nanostructured perovskites with spatially graded compositions and bandgaps are promising in filter-free, chip-level multispectral, hyperspectral detection. However, achieving high-resolution patterning of controlled is challenging. Here, a programmable mixed electrohydrodynamic printing (M-ePrinting) technique presented to realize the one-step direct-printing arbitrary perovskite micro/nanopatterns for first time. M-ePrinting enables situ mixing ejection solutions composition/bandgap...

Inkjet printing is the most encouraging method for patterning and integrating perovskite materials into microminiature application scenarios. However, it still challenging to achieve high-resolution, coffee-ring-free, perfect crystallized patterns. Here, a strategy based on powerful electrohydrodynamic droplet viscosity-size coordinate regulation developed solve above problems. By adding long-chain polymer poly(vinylpyrrolidone) (PVP) precursor tune ink viscosity introducing print...

We propose an innovative approach to enhance welding operations by using a cyber-physical system (CPS) with layered architecture and enabling robot be effectively operated its commanding human. This article focuses on the recognition of human's intention that should executed robot. To this end, virtual reality (VR) based HTC Vive is used create remote environment. Human hand movement speed data collected train hidden Markov model (HMM) Baum-Welch algorithm. The Bayesian information criterion...

Southwest China power grid (SCPG) and central are planned to be unsynchronized by using back-to-back voltage source converter based high direct current transmission between Chongqing Hubei grids. After asynchronous interconnection, the proportion of hydro in installed capacity is about 70%. In other words, SCPG a typical hydrodominant system. Due negative damping effect governors hydrogenerators, there serious risk ultralow-frequency oscillation (ULFO) range 0.05 Hz. this paper, optimization...

Industrial robots are currently applied for ship sub-assembly welding to replace workers because of the intelligent production and cost savings. In order improve efficiency robot system, a digital twin system path planning arc in is proposed this manuscript achieve autonomous generation path. First, five-dimensional model dual constructed. Then, kinematics analysis calibration studied communication realization between virtual actual system. Besides, topology consisting three bounding volume...

In this correspondence paper, we investigate the security and efficiency of data transmission for overlay cognitive radio networks, which consist a pair primary users, multiple pairs energy-limited secondary users eavesdroppers. Specifically, to achieve better tradeoff between transmission, propose an optimal relay selection (ORS) based on two energy harvesting (EH) protocols, i.e., time switching (TSR) protocol power splitting (PSR) protocol. Building in this, exact closed-form expressions...

Remote sighted assistance (RSA) has emerged as a conversational assistive technology for people with visual impairments (VI), where remote agents provide realtime navigational to users via video-chat-like communication. In this paper, we conducted literature review and interviewed 12 RSA comprehensively understand technical challenges in both the users. Technical are organized into four categories: agents' difficulties orienting localizing users; acquiring users' surroundings detecting...

Transient stability assessment is examined in a data driven framework. The original transient are embedded into low-dimensional representation space using deep belief network (DBN) based nonlinear learning method. Specifically, unsupervised pre-training used to learn the distribution first, and then expected classification accuracy (ECA) index fine-tune parameters of DBN. structure power grid also considered process. In space, simple linear model utilized classify unstable cases from stable...

This letter presents a virtual reality (VR) human–robot interaction welding system that allows human welders to manipulate robot and undertake tasks naturally intuitively via consumer-grade VR hardware (HTC Vive). In this system, welders' operations are captured by motion-tracked handle controllers used as commands teleoperate 6-DoF industrial (UR-5) request current from controllable power supply (Liburdi Pulsweld P200). The three-dimensional (3-D) working scene is rendered in real time...

Deep learning has been successfully used to automate the modeling process that trains a network/model from given experimental dataset calculate output directly using high-dimensional complex raw data. However, trained network is an inverse of welding (forward process) produces phenomena/measured data as with penetration input forward process. Now question in addition current state weld be estimated if also other inputs determine its output. If it has, then model constructed accordingly. This...