User-generated content (UGC) based on customer opinions and experiences has increasingly become a rich resource of business opportunities. This study proposes a change mining framework to address the key shortcomings of the traditional SWOT analysis, including subjectivity in defining factors, lack of empirical validation, inflexible to meet the changing environment, and lack of actionable steps. Product

In recent years, the amount of data stored in computer environments has increased significantly. The growth in volume has made it very difficult to store and process large amounts of data on a single server. Distributed storage technologies are being used as a solution to problems such as scalability and high availability on a single server. Distributed storage technologies evolve the process of handling

In heterogeneous e-commerce recommender systems, the type and attribute information of users and products contain rich semantics, which can benefit the prediction and explanation of user ratings of interesting items. Existing studies include collaborative and content-based recommendations that mainly capture semantic features by considering user–item interactions or behavioral history records, which

The fast evolution in microelectronics and the emergence of wireless communication technologies, have allowed the appearance of the promising field of Internet of Things (IoT). The latter is more and more present in the human life, that is why it becomes essential to secure the communications done with the connected objects. Almost all communicating systems attach great importance to security, consequently

Recently, surveillance systems have been widely used to analyze video recordings captured by surveillance cameras and to detect abnormal or irregular events in real-world scenes. In this study, we present a novel system that detects abnormal events. Unlike conventional methods, we consider abnormal event detection as variation matching problems. In approaching this problem, we transform from a single

Many dynamic processes in practice have nonlinear characteristics and must be described by using nonlinear models. It remains to be a challenging problem to build the models of such nonlinear systems and to estimate their parameters. This article studies the parameter estimation problem for a class of Hammerstein‐Wiener nonlinear systems based on non‐uniform sampling. By means of the auxiliary model

The purpose of weakly supervised object localization (WSOL) is to localize an object requiring only classification labels. However, most WSOL methods tend to find a specific part of an object. Further, they introduce more complex optimization problems than the classification problem to compensate for the lack of resources such as bounding box annotation. To be more efficient WSOL, we propose a new

For the conventional extended min-sum (EMS) algorithm, all check nodes update their check-to-variable (C2V) messages in every iteration. Selected scheduling, which reduces the number of check nodes for message updating in one iteration, can effectively reduce the complexity of the decoding algorithm, but it also lead to some performance degradation. With the introduction of a metric based on node stability

This paper presents a new structure for high-resolution, low-power and wideband discrete time multi-stage (DT-MASH) sigma-delta (ΣΔ) modulators. It uses multi-bit digital input feed forward path (DFF) and noise coupling (NC) techniques. With the DFF technique, the modulator does not need a power-consuming analog adder at the quantizer input, and the number of comparators of the quantizer will be reduced

The present paper discusses several security requirements coming from assessment of the use cases developed within the context of the original 5G-PPP “5G ESSENCE” project. Following to a concrete introduction to the project’s main innovative features and the description of all selected use cases coming directly from the vertical markets, we have separately assessed each one among them towards identifying

A novel idea of using compact filamentary and printed circuit board (PCB) planar spiral coils for the magnetic induction (MI) based underground (UG) communication to achieve high received power and enhanced transmission distance is proposed. In the existing system, non-planar coils were employed as transceivers which lost their function due to their huge size and deployment difficulty. An enhanced

Speaker localization has been an active topic of research due to its wide range of applications in multimedia and communication technologies. While traditional blind source separation algorithms are robust in reverberant environments, they are generally unable to localize more than two concurrent speakers. In this paper, a novel method for localization of concurrent speakers using blind source separation

A vertical RF-MEMS (Radio Frequency Micro ElectroMechanical Switch) switch design is proposed in this work that features a shunt capacitive configuration and can operate at a very low actuation voltage. Besides operating on a low switching voltage, the switch behold a small value of insertion loss in Up (ON) state and offers a towering isolation factor in Down (OFF) state. A horizontal structure of

This paper introduces a novel autonomous chaotic jerk circuit with an antiparallel diodes pair whose mathematical model involves an inverse hyperbolic sine function in the form: \(f\left( x \right) = k - 2x + 4\arcsin h\left( {mx} \right)\) where \(k\) (i.e. a constant excitation source) controls the symmetry of the model while \(m\) represents the slope of the inverse hyperbolic sine. The presence

Deep-fried carbohydrate-rich foods items such as potato chips and French fries are one of the most popular snack foods consumed across the globe. In the production of these carbohydrate-rich foods items, a compound known as acrylamide is formed which is carcinogen and mutagen as well. The conventional chemical-based methods for detection of the presence of acrylamide in the deep-fried carbohydrate-rich

A Decision Based Neighbourhood Referred Asymmetrically Trimmed Modified Trimean for the Removal of High Density salt and pepper noise in Images and videos is proposed. The proposed algorithm initially checks for the outliers in a 3 × 3 neighbourhood. If the processed pixel is noisy then check for the presence of noisy pixels with the 4 neighbours; If the 4 neighbours are found to hold outliers then

Numerous devices are expected to upsurge profoundly in the proximate future with an estimated figure exceeding the 50 billion benchmark of connected devices by 2020. There are some rudimentary demands of the subscribers like system capacity, improved data rates with reduction in the latency and secure transmission of data in an unsecured media and to meet these demands, the cellular network has to

Massive MIMO will improve the performance of future 5G systems in terms of data rate and spectral efficiency, while accommodating a large number of users. Furthermore, it allows for 3D beamforming in order to provide more degrees of freedom and increase the number of high-throughput users. Massive MIMO is expected to provide more advantages compared to other solutions in terms of energy and spectral

A required step to realize blind source separation of a signal is to determine the number of sources building up the mixture. Generally, the assumption of equal number of sources and mixtures is imposed which becomes invalid in single-channel mixtures. Therefore, in order to apply conventional solutions, a single-channel mixture signal can be converted into a pseudo-multi-channel signal. The empirical

This paper presents a CMOS low power Variable Gain Low Noise Amplifier for 26–34 GHz in 45 nm process technology, which composes of cascaded complimentary common gate (CCG) stage and digital current steering amplifier. First stage is CCG stage, which helps in achieving the low power consumption and less area. Second stage is variable gain amplifier, uses current reuse technique as well as gm-boost

This work presents a power-efficient and noise-efficient amplifier for ECG recordings. To improve power efficiency, all the transistors in the proposed amplifier is designed in sub-threshold region which gives high g\(_m\)/I\(_D\) ratio. To improve noise efficiency, inverter-based differential input stage is used in this proposed operational transconductance amplifier as it reduces noise by a factor

A contactless scribe-line channel-leakage monitor with relaxed alignment requirement is described. It comprises photovoltaic converters for powering from indoor illumination, a visible light communication downlink for selecting one among multiple monitors, and an ultra-wideband impulse-radio uplink for transmitting the measured leakage data in the form of impulse repetition frequency. Readout is accomplished

This paper presents several proposed scenarios for medical image transmission over Wireless Multimedia Sensor Networks with multi-level security tools and Unequal Error Protection (UEP) technique to provide highly secure and improved medical images transmitted over the wireless link. The proposed scenario is based on embedding the medical images with audio watermarking technique. The audio signal is

The present paper aims to study image processing algorithms to accelerate and facilitate the evaluation of the harvest condition in tomato farms. In order to achieve this, two different deep learning models are trained and combined with counting methods to produce a harvest monitoring system for embedded applications using an Intel® MovidiusTM and an affordable RGB camera. The first model detects the

We introduce a joint weighted Neumann series (WNS) and Gauss–Seidel (GS) approach to implement an approximated linear minimum mean-squared error (LMMSE) detector for uplink massive multiple-input multiple-output (M-MIMO) systems. We first propose to initialize the GS iteration by a WNS method, which produces a closer-to-LMMSE initial solution than the conventional zero vector and diagonal-matrix based

In this paper, a new compact design of frequency reconfigurable slot antenna is presented. The proposed radiating patch consists of two symmetrical D shape slots and incorporates four PIN diodes with two stubs which cover a small dimension area of 8.6 × 6.0 × 1.6 mm3. The ground plane is modified by etching two parallel rectangular slots to enhance the bandwidth and design parameter of the antenna

Unmanned Aerial Vehicles (UAVs) are now used for both commercial and military purposes. This technology is not without its share of issues and challenges. The high mobility of UAVs leads to frequent topology changes which may lead to packet loss or routing path failure. The high mobility of the nodes poses a more significant challenge in maintaining active communication links between the nodes. Routing

Human Activity Recognition (HAR) is a process of recognizing human activities automatically based on streaming data obtained from various sensors, such as, inertial sensors, physiological sensors, location sensors, camera, time and many more environmental sensors. HAR has proven to be beneficial in various fields of study especially in healthcare, aged-care, ambient living, personal care, social science

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

The papers in this special section focus on softwarized networking for next generation industrial cyber-physical systems (CPSs). With the emergence of embedded and ubiquitous cyberphysical applications, the rationale of blending the physical and the virtual worlds has become ever promising. These papers examine several topics that are recently concerned in the community, including the software defined

We consider the design of constant-modulus waveforms for wideband multiple-input multiple-output radar. The aim is to match a desired transmit beampattern. To tackle the non-convex design problem, we develop an iterative algorithm, which is based on cyclic optimization and majorization–minimization. We prove that the sequence of the objective values of the proposed algorithm has guaranteed convergence

The papers in this special section focus on the topic of green industrial Internet of Things (IIoT). These papers aim to consolidate the current state of the art in terms of fundamental research ideas and network engineering, geared toward exploiting greenness of IIoT. The IIoT is a new ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine–human collaboration

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.

The intrinsic complexity associated with passive sonar data makes the task of target recognition extremely challenging. The conventional classifier architectures based on hand-engineered feature transforms often fail miserably to disentangle the high-dimensional non-linear structures in the observed target records. Although the modern deep learning algorithms through hierarchical feature learning yield

Recently, learning-based works have been widely-investigated to enhance underwater images. However, interactions between various degradation factors (e.g., color distortion and haze effects) inevitably cause negative interference during the inference phase. Thus, these works cannot fully remove degraded factors. To address this problem, we propose a novel Joint Luminance and Chrominance Learning Network

This letter focuses on the passive localization of a moving source in the presence of random sensor location errors. We propose a modified two-stage closed-form method that takes the sensor location errors into account, utilizing time difference of arrival and frequency difference of arrival measurements. This method utilizes the weighted spherical interpolation approach to obtain an initial estimation

Marine fishery production safety has always been a livelihood issue of high concern to government departments at all levels in China. With the construction of marine informatization, a large number of fishing vessels have entered the Vessel Monitoring System (VMS). The massive, highly concurrent, and continuous track data generated by these vessels has posed great challenges to real-time data distribution

Numerous evaluation methods are used as effective indicators for the cross-cultural communication of a regional image. However, because these indicators are primarily in a foreign cultural situation, it is challenging to measure their attitudes and cognitions across geographic distances and cultural differences. This challenge motivated us to combine cultural communication methods and modern location

In this article, we address the problems of flux and speed observer design for voltage‐fed induction motors with unknown rotor resistance and load torque. The only measured signals are stator current and control voltage. Invoking the recently reported Dynamic Regressor Extension and Mixing‐Based Adaptive Observer (DREMBAO), we provide the first global solution to this problem. The proposed DREMBAO

In this paper, a microstrip filter using a modified stepped impedance resonator with high return loss, low insertion loss, and ultra-wide stopband is presented. The frequency response of the filter based on the layout and LC model is presented. The presented LPF consists of stepped impedance resonators to achieve a − 20 dB suppression level from 3.26 GHz up to 30 GHz. Using stepped impedance resonators

It has been a challenging task for the designers to implement on-chip bandpass filter at high frequency with better performance. In this paper, a tunable RF bandpass filter using double resistive feedback floating active inductor (AI) based on gyrator-C topology has been proposed using 40 nm CMOS technology for 5 GHz WLAN applications. Small signal analytical modelling determines the design parameters

In this work, we present a new RF receiver architecture capable of addressing different RF bands and communication protocols. The frequency planning and discrete-time complex signal processing choices greatly simplify the frequency synthesis circuit. Since this is one of the most power-hungry blocks in the receiver, one can expect a reduction in power consumption. Thanks to the Bandpass Sampling (BPS)

This short paper proposes a circuit configuration to emulate the hard-switching behaviour of a grounded flux-controlled incremental/decremental memristor, based on current follower with externally controllable terminal intrinsic resistor. The circuits use a single grounded capacitor which benefits from the integrated circuit (the MOS-capacitance can be used instead of the capacitor when the simulator

For linear spectral statistics of Wigner matrix, we establish a CLT when the entries are independent, standardised with however inhomogeneous fourth moments. Formulas for the expectation and the variance of the Gaussian limiting distribution are given. An application to the normalized stochastic block model is further proposed.

In Codice Ratio is a research project to study techniques for analyzing the contents of historical documents conserved in the Vatican Apostolic Archives. In this paper, we present our efforts to develop a system to support the automatic transcription of medieval manuscripts, while maintaining the training data collection effort minimal. We focus on crowdsourcing as a means for scalable, expertless

Texts are the major information carrier for internet users, from which learning the latent representations has important research and practical value. Neural topic models have been proposed and have great performance in extracting interpretable latent topics and representations of texts. However, there remain two major limitations: (1) these methods generally ignore the contextual information of texts

The tunnel boring machine (TBM) is a key equipment for excavating long-range tunnels. It is a complex system and hard to be controlled well in practice. In this paper, we propose the rock segmentation visual system to assist TBM driving. Through the system, online size distribution of excavated rocks is automatically analysed and sent back to TBM driver, from which many statistical information can

Internet of Things (IoT) technology became an inter-disciplinary revolution in the contemporary era. It is capable of influencing human lives significantly when used in different domains. It has plethora of use cases like smart transportation, smart healthcare and smart city to mention few. As IoT is capable of combining physical objects and digital objects seamlessly, it has opened gates to have thousands

The paper proposes the coupling method based on Bayesian formula and fuzzy recognition by improving the Bayesian classification algorithm. The combination weighting method and relative membership degree are introduced to clarify the weight of evaluation index, and the maximum likelihood classification criterion is used to determine the grade of individual primary school students' physical health evaluation

This paper proposes a new way of Quantum signature masked authentication, in which both user and certifying authority is needed for generating final signature. Our scheme uses decoy particle to protect key from all the attacks in the transmission process and does not require encryption of each key. The paper also shows that our scheme is protected against impersonation, forgery and outside attack and

In recent years, reversible circuits have attracted the attention of many researchers. Their applications include the design of low-power digital circuits, the design of computational circuits in quantum computers and DNA-based calculations. In this paper, an effective 5 × 5 reversible block, called new block (NB), is first proposed, and then, using the proposed reversible block, a novel reversible

Low earth orbit (LEO) satellite networks provide important support to expand 5G‐and‐beyond networks to realize global coverage. Hybrid automatic repeat requests (HARQs) can greatly improve the reliability of transmission through dynamic satellite channels. Due to the large propagation delay in LEO satellite channels, the biggest challenges of HARQ in satellite networks are the delayed channel state

In this paper, CPW-Fed ultra wideband (UWB) planar monopole antenna loaded by double inclined elliptical split ring resonators (ESRRs) for double band-notch characteristics is introduced, examined, and fabricated. Two different ESRRs with different dimensions are printed in the antenna backside to notch two different frequencies in the UWB frequency range instead of using two ESRR pairs as usual. The

Soft fault diagnosis has been validated as a very challenging problem in analog circuits. In order to improve the generalization ability and close to the practical application of fault diagnosis models, a novel method for obtaining a large number of training samples in soft fault interval is proposed in the present work. Training samples are randomly generated in the interval of soft fault to adapt

SRAMs are extensively used in system-on-chip designs. Embedded SRAMs occupy majority of the die area leading to increased power consumption. Although the performance of SRAM in finer technologies has remarkably improved, still cell stability and leakage power dissipation are major concerns at deep sub-micron regime. In this paper, a low leakage SRAM cell is proposed based on source-biased inverter

Airborne capacitive micromachined ultrasonic transducers (CMUTs) have predominantly large input capacitive reactance with small series radiation resistance. To maximize the acoustic power radiation at resonance we employ low cost LC matching networks between the low output impedance driving source and CMUT transducer. Conventional LC networks, including pi and T-network topologies are employed to provide