Presents the front cover for this issue of the publication.

Presents information on the 2020 IEEE Brain Data Bank Challenge.

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

Reports on the changing of the Consumer Electronics Society to the Changing Technology Society as of August 16, 2020.

Presents the introductory editorial for this issue of the publication.

Computer-aided diagnosis is a fast-developing area in medical practice and relies on the appropriate preprocessing of images from two dominant acquisition technologies, analog or film-based, and digital. Preprocessing consists of intensity equalization and segmentation of various objects in images. Here, we propose a methodology for the extraction of masks from manually segmented mammograms using affordable

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As the COVID-19 pandemic has gripped nation states around the world, technological fixes based on smartphone solutions have been proposed as a means to mitigate the risk posed to humans, prevent further economic loss, and overcome societal and business challenges. This article provides an account of the learning from Singapore and Australian implementations of TraceTogether.

The focus of this paper is on examining the role of Google and Apple in proposed smartphone-centric contact tracing capabilities in response to the novel coronavirus COVID-19.

The articles in this special section examine machine learning (ML) for end consumers. ML is a discipline that grew out of artificial intelligence (AI). At a minimum, an intelligent agent needs to perceive the environment around it, deliberate, and take the best course of actions to maximize some actual or estimated performance measures. ML was originally a trait of AI that concerned training intelligent

The combination of machine learning with healthcare services is emerging. However, when machine learning functions are executed on resource-constrained mobile consumer devices, the computing overhead will increase, and the user experience will deteriorate. In essence, the existing approaches delegate such tasks to a central cloud data center. However, data processing on remote cloud servers results

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Presents information on the aim, mission, and scope of the publication.

Perspective on how the coronavirus pandemic has impacted the consumer electronics industry and ways the industry has responded.

Presents the front cover for this issue of the publication.

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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.

Presents the introductory editorial for this issue of the publication.

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Presents the recipients of Consumer Electronics awards in 2020.

Reports on old issues of the IEEE Transactions on Consumer Electroincs that have been donated to the IEEE History Center.

Presents information on the Young Professionals Event at GCCE 2019.

The need to recognize long-term dependencies in sequential data, such as video streams, has made long short-term memory (LSTM) networks a prominent artificial intelligence model for many emerging applications. However, the high computational and memory demands of LSTMs introduce challenges in their deployment on latency-critical systems such as self-driving cars, which are equipped with limited computational

The transition of transportation sector from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) has raised many concerns about their users which mainly include locating a suitable charging station for such vehicles. Presently, human intelligence-based methods are being used for the purpose. However, the development of Smart Station Search Assistance (S$^{3}$A) system is an innovative step

Distributed systems disseminate emergent behaviors across an interconnected group of lightweight agents. The SHARKS protocol (Secure, Heterogeneous, Autonomous, and Rotational Knowledge for Swarms) allows for a robotic swarm to encircle/ensphere a target. Motivated by security and resiliency, the SHARKS protocol addresses traditional vulnerabilities without creating a central point of vulnerability

Sustainable urban mobility and traffic congestion are the key challenges in a smart city. Nevertheless, a sustainable mobility approach such as real-time ridesharing as a solution is likely to fail, if not integrated with actions aimed at increasing the awareness of citizens, encouragement through incentives and influencing their behavioral change. This article analyzes the possibility of quantifying

This article introduces adversarial attack, a recently-unveiled security threat to consumer electronics, especially those utilizing machine learning techniques. We start with the fundamental knowledge including what are adversarial examples, how to realize such attacks, and common defense methods. Adversarial training enhances models’ resilience to adversarial attacks by taking both regular and adversarial

With the rapid development and application of information technology, blockchain technology (BT) has become an important means to promote the integration of the real economy and the digital economy. BT reached a certain level of development for application in asset transactions, finance, and traceability. However, existing technology provides no reasonable trading method and application framework for

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The latest and upcoming mobile application processors, embedded in a myriad of consumer devices, are typically implemented as heterogeneous multiprocessor system-on-chips, comprised of various processing engines such as general-purpose cores with differing characteristics, GPUs, DSPs, nonprogrammable accelerators, and reconfigurable computing devices. The heterogeneity allows application kernels with

Health care platforms rapidly shift toward the ICT-based solutions. In this context, a wide range of consumer electronics technologies come into play ranging from robotics, embedded systems, sensors, and communication infrastructures. Driven by such observations, the H2020 RADIO project set forward a service-oriented, easily expandable design paradigm that emphasizes on how heterogenous commercial

POINT OF VIEW is everything. It is called architecture. We need to shift our focus from the mechanics of networking to building applications that “just work” without worry about the network. Traditionally, we think of connectivity in terms of the network or networking. The power of the Internet comes from our ability to ignore the network and focus on the relationships between the end points. Today

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The articles in this special section focus on intelligent automobiles. The automotive industry is is experiencing disruptive changes at all levels—from design, and production, to community and business models. A previously rigid and very closed business environment is forced to open and embrace new methods to survive. In particular, it has become clear that a previously strongly deterministic approach

Vision-only systems are currently very popular for use in autonomous driving systems and advanced driver-assistance systems. These systems operate by using input images from a camera and no other sensors. One of the tasks these systems needs to perform is the detection and understanding of traffic lights in a traffic environment, by localizing all relevant traffic lights in an image received from an

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Modern transportation vehicles (e.g., cars and airplanes) represent a seamless fusion of safety-critical and consumer electronics systems. In order to save space inside a vehicle, implemented network infrastructure should be compact, and thus all data (critical and noncritical) should be ideally transmitted through a single physical network. The TTEthernet represents a great candidate to support aforementioned

This article presents one experience with the design and implementation of a consumer electronics (CE) software module using automotive software process improvement and capability determination (A-SPICE) methodology. Electronic program guide (EPG) engine software module is a very stable, configurable product that ensures high performance and satisfies different television standards. It is designed

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Within a century, we are witnessing the technology's development acceleration in such steps that just the changes in the last couple of decades made a difference in our lives. What was a “Science fiction” technology to the previous century generations, has become a common commodity for the 21st century generations. And for many born in the 20th century these changes are big. According to the universal

The home automation systems (HASs) and products market has seen significant growth over the past decade. The current HAS architecture is based on a centralized network coordinator to form, manage, and supervise the network system. Each smart home device is typically manually on-boarded onto the network through the coordinator. If the network coordinator fails or a user wishes to change the technology

The IEEE 3D Body Processing Industry Connections Working Group (3DBP IC) brings together a diverse group of stakeholders including computer scientists, research and development personnel, 3D body scanner vendors, retailers and associated consultants, individuals from adjacent markets, and thought leaders around 3D body processing technologies (3D capture, processing, storage, sharing, and virtualization)

Interview with the Entrepreneur Dr. Florian Seitner

COVID-19 (Corona Virus Disease 2019) is a pandemic, which has been spreading exponentially around the globe. Many countries adopted stay-at-home or lockdown policies to control its spreading. However, prolonged stay-at-home may cause worse effects like economical crises, unemployment, food scarcity, and mental health problems of individuals. This article presents a smart consumer electronics solution

We witness an explosive growth in the volume, velocity, and variety of the data available on the Internet. Such “data explosion” is mostly caused by the mobile devices, sensors, actuators, and social networks. Despite significant technological advancements, the users quality of experience is barely met. The ever-increasing demands of users related to high storage, fast computation, and processing has

The upcoming fifth-generation (5G) wireless cellular communication systems are expected to provide efficiency and productivity by ushering in flexibility of waveforms and resource allocation. Clustered discrete Fourier transform-spread-orthogonal frequency division multiplexing (DFT-s-OFDM) has been specified as the waveform for 5G, due to its flexibility in the exploitation of frequency selectivity

Currently, various radio frequency (RF) technologies are used to transfer medical data in healthcare applications. The electromagnetic interference caused by RF can critically affect the performance of medical devices. The main goal of this article, thus, is to provide reliable and low-latency fifth-generation (5G) electronic health (eHealth) solutions for monitoring patients at home, hospitals, ambulances

The fifth-generation wireless (5G) has already started showing its capability to achieve extremely fast data transfer, which makes itself considered to be a promising mobile technology. However, concerns have been raised on adverse health impacts that human users can experience in a 5G system by being exposed to electromagnetic fields (EMFs). This article investigates the human EMF exposure in a 5G

Many devices and machines used in diverse applications require ubiquitous connectivity to the Internet through cellular network. These devices have different requirements in terms of their location, data rates, mobility, energy consumption, latency, complexity, power output level, spectrum, and security. These criteria impose specific requirements on the network infrastructure. While some Internet

This article presents a blockchain-based scheme for energy trading between electric vehicles (prosumers) and critical load (consumer) in a logical network. Unlike traditional wholesale energy markets where retailers sell energy to consumers, our proposed model directly connects prosumers with consumers to meet temporary energy demands. We exploit blockchain technology to establish a trusted energy