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It was the end of 2008, October, right before the holiday shopping season. Talk-show host Oprah Winfrey released her highly anticipated Favorite Things list, with the Amazon Kindle topping the gadget category. • This is the moment that the concept of electronic paper, or e-paper, went mainstream. • But this black-and-white, reflective display that always appeared to be on was invented well before the Amazon Kindle made it famous. Its story began a decade earlier, in 1997, at the MIT Media Lab, when it was created by two students, J.D. Albert and Barrett Comiskey, who were inspired by their professor Joseph Jacobson. [ABSTRACT FROM AUTHOR]

You wake up with a heavy head. Was it the half dozen glasses of champagne last night or are you getting sick? In your bathroom is a little strip of paper that can tell you for sure. You place it on your tongue and after a few seconds, you pull it back to see the bad news: There's a small green dot next to the word "flu." When you fish your doctor's business card out of your wallet, you notice it looks different from the last time you looked at it. The phone number for his office was originally black. Now it's displayed in blinking red letters, a sign that the number was changed recently. The electronics in this scenario are not far off; in fact the basic technological breakthroughs needed to make them work have all been achieved in the past few years. At the moment the costs are still too high for them to be used in things like business cards or package labels, but remarkable advances in materials science and simpler fabrication methods are setting the stage for a whole new breed of cheap, bendable, disposable, and perhaps even recyclable electronics. And some of the most exciting work in this field is happening with paper. [ABSTRACT FROM PUBLISHER]

This paper presents a digital battery management unit (BMU) with built-in resistance (BIR) compensation, modulated frequency detection (MFD), and multi-mode protection (MMP) techniques to realize fast, efficient and safe charging. The charger incorporates the proposed BMU based on the low-dropout (LDO) regulator. With BIR compensation, a large rated current in the proposed pulsed constant current (PCC) mode charges the battery, and reduces the charging time by omitting the constant-voltage (CV) mode. The MFD technique allows continuous monitoring and obtains precise BIR compensation with accelerating sampling speed. The MMP technique can alleviate safety concerns while charging, including over-voltage protection (OVP), over-current protection (OCP), and the proposed accidental fluctuation protection (AFP). The digital BMU, implemented in 28 nm CMOS, occupies 0.014 mm2 of silicon area. Experimental results show that the proposed circuit saves 73.3% of charging time with 1.5A charging current, and 21.5% ADC dynamic power with 1A charging current. For the digital controller IC, the power consumption is $59.1~\mu \text{W}$. [ABSTRACT FROM AUTHOR]

Bad things happen when demand outstrips supply. We learned that lesson too well at the start of the pandemic, when demand for toilet paper, disinfecting wipes, masks, and ventilators outstripped the available supply. Today, chip shortages continue to disrupt the consumer electronics, automobile, and other sectors. Clearly, balancing the supply and demand of goods is critical for a stable, normal, functional society. [ABSTRACT FROM AUTHOR]

THE YEAR IS 2028. IT'S 8 P.M. ON A Wednesday night and you're famished. You're staring wistfully at the only remaining item in your refrigerator: a package of sausages with an unappetizing grayish hue. Ugh. Did they always look like that? Are they still safe to eat? In 2018, you'd have to rely on your sense of smell and take a gamble. But in 2028, you might simply wave your smartphone over the package. The smartphone interrogates the package's embedded sensor, which measures the concentration of gases associated with meat decomposition. The smartphone displays the message "Safe to eat within the next 20 hours," and then offers a list of recipes for cooking with sausages. Too hungry to bother with the recipes, you tear open the package, toss the sausages into a frying pan, and discard the package-along with its sensor technology. [ABSTRACT FROM AUTHOR]

This paper presents a filtering power amplifier (PA) with wide bandwidth. A bandpass filter (BPF) using discriminating coupling is first proposed to be utilized as the output matching network (OMN) of PA. Discriminating coupling means that the fundamental and the harmonics of the proposed structure have different coupling coefficients. Thus, the input impedances of the fundamental, second and third harmonics could meet the requirements of the extended continuous mode theory, respectively. Also, good frequency selectivity is obtained. The working principle of discriminating coupling, the filter synthesis theory and the equivalent circuit are utilized to guide the design of the filtering PA. To demonstrate the proposed structure, a compact filtering PA operating at 1.8 GHz is designed. The measured results exhibit good frequency selectivity and high power added efficiency (PAE). More importantly, comparing to the previous filtering power amplifiers (PAs) with good frequency selectivity, the proposed design possesses wide bandwidth of 31.1% with PAE higher than 60%. [ABSTRACT FROM AUTHOR]

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. [ABSTRACT FROM AUTHOR]

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In this paper, we are concerned with the finite-time synchronization of a class of inertial neural networks with time delays. Without applying some finite-time stability theorems, which are widely applied to studying the finite-time synchronization for neural networks, by constructing two Lyapunov functions and using integral inequality method, two sufficient conditions on the finite-time synchronization for a class of inertial neural networks with time delays are derived. Considering that the method and research results of the finite-time synchronization are different from some existing works, this paper extends the works on the finite-time synchronization of neural networks. [ABSTRACT FROM AUTHOR]

Fast-growing scientific papers pose the problem of rapidly and accurately finding a list of reference papers for a given manuscript. Citation recommendation is an indispensable technique to overcome this obstacle. In this paper, we propose a citation recommendation approach via mutual reinforcement on a three-layered graph, in which each paper, author or venue is represented as a vertex in the paper layer, author layer, and venue layer, respectively. For personalized recommendation, we initiate the random walk separately for each query researcher. However, this has a high computational complexity due to the large graph size. To solve this problem, we apply a three-layered interactive clustering approach to cluster related vertices in the graph. Personalized citation recommendations are then made on the subgraph, generated by the clusters associated with each researcher’s needs. When evaluated on the ACL anthology network, DBLP, and CiteSeer ML data sets, the performance of our proposed model-based citation recommendation approach is comparable with that of other state-of-the-art citation recommendation approaches. The results also demonstrate that the personalized recommendation approach is more effective than the nonpersonalized recommendation approach. [ABSTRACT FROM AUTHOR]

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In this paper, we analyze the behavior of stochastic approximation schemes with set-valued maps in the absence of a stability guarantee. We prove that after a large number of iterations, if the stochastic approximation process enters the domain of attraction of an attracting set, it gets locked into the attracting set with high probability. We demonstrate that the above-mentioned result is an effective instrument for analyzing stochastic approximation schemes in the absence of a stability guarantee, by using it to obtain an alternate criterion for convergence in the presence of a locally attracting set for the mean field and by using it to show that a feedback mechanism, which involves resetting the iterates at regular time intervals, stabilizes the scheme when the mean field possesses a globally attracting set, thereby guaranteeing convergence. The results in this paper build on the works of Borkar, Andrieu et al., and Chen et al., by allowing for the presence of set-valued drift functions. [ABSTRACT FROM AUTHOR]

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In this note, it is shown that the results claimed in the paper —as well as the examples presented there—are incorrect. [ABSTRACT FROM AUTHOR]

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This paper presents a digital readout integrated circuit (DROIC) for small pitch medium-wave infrared (MWIR) starring focal plane arrays (FPAs). To overcome the limited in-pixel resolution of such DROICs, the concept of error shaping is introduced in pulse frequency modulation (PFM)-based pixels. Multiple integration operations are performed in a single frame and the residue charge from each integration phase is retained and injected into the next charge packet. This over-integration routine provides a high pass noise transfer function (NTF) equivalent to what is obtained in a first order sigma delta modulator. The concise structure of a PFM analog-to-digital converter (ADC) lends itself well to such an operation inside the pixel, while consuming low power. Along with a theoretical analysis of the technique, a prototype based on a $16\times 16$ array and sinc decimation filters is developed to demonstrate the performance of the proposed DROIC. With an in-pixel resolution of 5 bits and over-integration ratio (OIR) of 128, 395 noise electrons are demonstrated at full-well fill from the test array fabricated in a 90 nm bulk-CMOS process. [ABSTRACT FROM AUTHOR]

In this paper, the locally fixed-time and globally fixed-time $\mathcal {H}_{\infty }$ control problems for the port-controlled Hamiltonian (PCH) systems are investigated via the interconnection and damping assignment passivity-based control (IDA-PBC) technique. Compared with finite-time stabilization, where the convergence time of the closed-loop system's states relies on the initial values, the settling time of fixed-time stabilization can be adjusted to achieve desired equilibrium point regardless of initial conditions. The concepts of fixed-time $\mathcal {H}_{\infty }$ control, fixed-time stability region (or region of attraction), and fixed-time stability boundary are presented in this paper, and the criterions of globally fixed-time attractivity of a prespecified locally fixed-time stability region are obtained. Combining the locally fixed-time stability of an equilibrium point and the globally fixed-time attractivity of a prespecified fixed-time stability region, the globally fixed-time $\mathcal {H}_{\infty }$ control problem of PCH system is effectively solved. Two novel control laws are designed to deal with the globally fixed-time $\mathcal {H}_{\infty }$ control problem, and the conservativeness in estimating the settling time is also briefly discussed. An illustrative example shows that the theoretical results obtained in this paper work very well in the fixed-time $\mathcal {H}_{\infty }$ control design for PCH systems. [ABSTRACT FROM AUTHOR]

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A table of contents for the issue is presented including regular papers on various topics such as Analog and Mixed Mode Circuits, Control Theory and Systems and Signal Processing, comments and information for authors.

In this paper, a two-layer recurrent neural network is proposed to solve the nonsmooth convex optimization problem subject to convex inequality and linear equality constraints. Compared with existing neural network models, the proposed neural network has a low model complexity and avoids penalty parameters. It is proved that from any initial point, the state of the proposed neural network reaches the equality feasible region in finite time and stays there thereafter. Moreover, the state is unique if the initial point lies in the equality feasible region. The equilibrium point set of the proposed neural network is proved to be equivalent to the Karush–Kuhn–Tucker optimality set of the original optimization problem. It is further proved that the equilibrium point of the proposed neural network is stable in the sense of Lyapunov. Moreover, from any initial point, the state is proved to be convergent to an equilibrium point of the proposed neural network. Finally, as applications, the proposed neural network is used to solve nonlinear convex programming with linear constraints and L1 -norm minimization problems. [ABSTRACT FROM AUTHOR]

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Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to scholarly data, that is, anomaly detection in a citation network. Citation is considered as one of the most crucial metrics to evaluate the impact of scientific research, which may be gamed in multiple ways. Therefore, anomaly detection in citation networks is of significant importance to identify manipulation and inflation of citations. To address this open issue, we propose a novel deep graph learning model, namely graph learning for anomaly detection (GLAD), to identify anomalies in citation networks. GLAD incorporates text semantic mining to network representation learning by adding both node attributes and link attributes via graph neural networks (GNNs). It exploits not only the relevance of citation contents, but also hidden relationships between papers. Within the GLAD framework, we propose an algorithm called Citation PUrpose (CPU) to discover the purpose of citation based on citation context. The performance of GLAD is validated through a simulated anomalous citation dataset. Experimental results demonstrate the effectiveness of GLAD on the anomalous citation detection task. [ABSTRACT FROM AUTHOR]

The author presents his insights on high-quality perspectives papers. He notes that a high-quality perspectives paper describes the key technical issues, the most significant results, and the open research questions. He believes that this kind of paper points to research papers that are not well known but make significant contributions.

Presents the front cover for this issue of the publication. [ABSTRACT FROM AUTHOR]

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. [ABSTRACT FROM AUTHOR]

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. [ABSTRACT FROM AUTHOR]

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. [ABSTRACT FROM AUTHOR]

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This issue includes selected papers presented at the IEEE Asia Pacific Conference of Circuits and Systems (APCCAS) 2018 that was held in Chengdu, China, on 26–30 October 2018 and the IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2018 that was held in Bordeaux, France, on 9–12 December 2018. As the flagship conferences of the IEEE Circuits and Systems Society (CASS) in IEEE Regions 8 and 10, respectively, these conferences welcome contributions across the themes within the scope of the Society, including analog, digital and mixed-signal electronics, signal processing, power electronics, communication theory, sensors, circuit theory, and nonlinear circuits and systems. [ABSTRACT FROM AUTHOR]

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This paper proposes an LCCC and CCL compensated wireless servo motor control circuitry utilizing the merits of fundamental and third harmonic. With this circuitry, the motor side needs no additional power supply and controller, which significantly reduces the difficulty of maintenance. Besides, benefiting from the proposing of CCL compensating topology and utilizing of the self-driven circuitry, the secondary operates in fully resonant state and the motor direction control H-bridge is self-driven by the LC frequency selecting circuitry (FSC). Moreover, compared with the conventional motor control circuitry, because of the use of fundamental and third harmonic, the power equalization becomes significantly easier, and zero voltage switch (ZVS) can be realized at the same time; Besides, motion direction control of the motor is simpler with only a single pole double throw (SPDT) at the transmitter side. In addition, system resource consumption is reduced compared with conventional motor drive topologies. In this paper, an 180W prototype is built for experimental verification, and the result shows a good power equalization capability and a transfer efficiency reaching up to 90% at the distance of 10cm. [ABSTRACT FROM AUTHOR]

To comply with IEEE copyright policy, authors are requiredto sign an IEEE Copyright Form beforepublication. B) Manuscript Format: Manuscripts must follow the standard single-spaced, double-column IEEE Transactions format, as specified at http://www.ieee.org/ publications standards/publications/authors/authors journals.html.Seealsohttp://www.ieee.org/publications standards/publications/authors/author templates.html forstyle filesand templates to guide the typesetting of the paperfor submission. If the voluntary page charge is not honored, IEEE will charge a mandatory page charge of $125 per page for each page in excess of 11 pages (including referencesand biographies). [Extracted from the article]

Provides instructions and guidelines to prospective authors who wish to submit manuscripts. [ABSTRACT FROM AUTHOR]

Provides instructions and guidelines to prospective authors who wish to submit manuscripts. [ABSTRACT FROM AUTHOR]