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• The progress on mainstream and novel methods for fabricating MgMCs are reviewed in four categories, and their principles are introduced in detail. • The characteristics, including advantages, disadvantages and industrial applications, of each fabrication method are discussed. • The influence of process parameters on the final mechanical properties of MgMCs in different processes are discussed in detail. • Series measurements for enhancing the performance of MgMCs are proposed based on the current status. Mg matrix composites (MgMCs) with enhanced mechanical and functional properties, as well as improved elastic modulus, have aroused rising attention from the aerospace, new energy vehicles, and consumer electronics industries. The suitability of the fabrication process is crucial for achieving uniform dispersion of various reinforcing materials within the Mg alloy matrix and for forming strong interfacial bonding. This ensures that the produced MgMCs meet the requirements for fabricating various components with different demands for size and properties. This paper comprehensively reviews the present fabrication methods for MgMCs in four categories: stir casting, external addition methods, in-situ synthesis methods and novel fabrication methods. It comprehensively focuses on the fabrication principles, process characteristics and key parameters optimization of each technology. Through in-depth analysis, their advantages, limitations and applications are evaluated. Meanwhile, the latest research achievements in microstructure control and mechanical performance optimization are explored. Eventually, the development directions of the fabrication methods for MgMCs in the future are also discussed. [Display omitted] [ABSTRACT FROM AUTHOR]

Injection molding is widely used for making intricate plastic products due to its precision, cost efficiency, and fast production. Industries like consumer electronics, aerospace, and medical, demand high mechanical properties from these parts. However, high‐performance polymers face challenges in flowability. Ultrasonic‐assisted injection molding offers a solution, but its impact on flowability and mechanical properties is not fully understood. We propose a novel injection mold design with in‐mold ultrasonic vibration to address this. By applying high‐frequency shear forces to the melt, it alters polymer chain alignment, enhancing flow and microstructure. Employing polyphenylene sulfide (PPS) resin as the primary material, this study systematically explores the impact of varying ultrasonic vibration durations and stages on melt filling behavior and product performance. Compared with conventional molds, ultrasonic‐assisted molds reduce melt viscosity by 38% and improve mechanical properties by 10.21%, with a 17.1% increase in crystallinity. This technology shows promise for improving flowability and mechanical properties in injection molding, with potential for wide industrial application. [ABSTRACT FROM AUTHOR]

When the Manifeste conspirationniste was published in January 2022 it was widely assumed in France that the manifesto was the work of the same anonymous authors responsible for the radical leftist (or, for some, ‘terrorist’) pamphlets attributed variously to Tiqqun, the Parti imaginaire or the Comité invisible. This article explores this authorial hypothesis through a comparative close reading of the Manifeste conspirationniste and key works by the radical collective. The manifesto interprets the Covid pandemic as marking the logical culmination of a biopolitical apparatus that has weaponised everything from consumer electronics to the pharmaceutical industry in paranoid pursuit of the indefinite reproduction of capitalist oligarchy. Likewise, the essays of Tiqqun diagnose the thorough imbrication of military technologies, police and surveillance powers, as well as the entertainment and consumer industries in the development of what they call ‘cybernetic capitalism’. Tiqqun and the Comité invisible argue that, in a system that is dedicated to ever greater transparency (in the interests of the biopolitical disciplining of citizens), any resistance must deliberately seek out ‘zones of opacity’ by cultivating the kind of noise that won’t be recuperated as carnival, or the kind of slowness that can’t simply be rebranded as luxury. This looks forward to the Manifeste conspirationniste’s strategy of conspiracy, subterfuge and insubordination as the necessary response to an ideological apparatus that is unavoidably conspiratorial in its effects, however theoretically benign it may be in intention. [ABSTRACT FROM AUTHOR]

Microelectromechanical System (MEMS) gyroscopes are inertial sensors used to measure angular velocity. Due to their small size and low power consumption, MEMS devices are widely employed in consumer electronics and the automotive industry. MEMS gyroscopes typically use closed-loop control systems, which often use PID controllers with fixed parameters. These classical PID controllers require a trade-off between overshoot and rise time. However, temperature variations can cause changes in the gyroscope's parameters, which in turn affect the PID controller's performance. To address this issue, this paper proposes an adaptive PID controller that adjusts its parameters in response to temperature-induced changes in the gyroscope's characteristics, based on the error value. A closed-loop control system using the adaptive PID was developed in Simulink and compared with a classical PID controller. The results demonstrate that the adaptive PID controller effectively tracked the changes in the gyroscope's parameters, reducing overshoot by 96% while maintaining a similar rise time. During gyroscope startup, the adaptive PID controller achieves faster stabilization with a 0.036 s settling time, outperforming the 0.06 s of the conventional PID controller. [ABSTRACT FROM AUTHOR]

Combination of Wireless Power Transfer (WPT) and artificial intelligence (AI) offers huge prospects for several industries such as consumer electronics. This study looks at the recent developments in WPT, particularly concerning AI-improved efficiency, range and reliability. Data based on experiments show a significant improvement in the efficiency of information transfer where AI is used, with rates up to 25% higher than those using traditional ways. Additionally, advanced maintenance forecasting algorithms improve system availability by cutting down on 30% of downtimes in real-life applications of AI technology. The study also looks at the scope for further research, including emergence of distributed AI for autonomous WPT network, and quantum computing for improving algorithms. The study concludes that the convergence of WPT and AI could enhance the efficiency and robustness of power transfer systems, and hence it is essential to continue the investigation in this interdisciplinary field to advance existing technology and discover novel possibilities. [ABSTRACT FROM AUTHOR]

The need for new heat transfer agent for many applications, namely in the consumer electronics industry, requires materials, liquids at room temperature, with high thermal conductivity. From the different possibilities, Galinstan, a eutectic alloy of Gallium, Indium, and Tin with a melting point (Tm = 283.4 K) has been proposed for many applications, namely for replacing the toxic mercury element, used for many years. It is the purpose of this paper to report thermal conductivity measurements of Galinstan, product name Gallium/Indium/Tin Eutectic (NL-011), Ga68.4In21.5Sn10. The method used was the transient hot strip (THS), using a platinum metal-film sensor, produced by PVD in ceramic substrates, and electrically insulated with a heat-shrinkable coating. The details of the data acquisition system and measuring procedure are reported. Measurements were performed between 28 °C and 103 °C (301 K to 376 K), at atmospheric pressure, with an estimated uncertainty of 6%, and compared with available literature. Data were correlated for linear interpolation. This type of sensor is applied to molten metals for the first time, proofing to concept to future applications in molten metals and molten salts at higher temperatures. [ABSTRACT FROM AUTHOR]

Whereas the literature on rebates has focused on single-product firms, this paper analyses the role of rebates offered by a multiproduct firm Rebates have long been recognized as a price discrimination mechanism. When firms offer an extensive product line, an important managerial question concerns the choice of which products to promote. This paper finds that a multiproduct firm leverages rebates to screen consumers on the basis of their redemption costs, which enables it to exercise price discrimination via the product line more effectively. In particular, because consumers who use rebates tend to have lower valuations, the classic cannibalization concern is less severe in the product line offered to rebate users. Therefore, the lowest-quality product that is promoted with a rebate is of higher quality than the lowest-quality product that is offered without rebate. Hence, the firm does not promote its lowest-quality products. Instead, by promoting some products with rebates, the firm drives some low-valuation consumers to trade up to higher-quality products. Notably, it is found that, contrary to the commonly held view, rebates can serve a price discrimination role even when redeemed by all consumers. Therefore, this paper proposes a novel price discrimination explanation for large rebates, sometimes in the order of several hundreds of dollars, that are frequently used in industries such as consumer electronics and household appliances. History: Yuxin Chen served as the senior editor for this article. Supplemental Material: The e-companion is available at https://doi.org/10.1287/mksc.2023.1430. [ABSTRACT FROM AUTHOR]

We report a wavelength-scanning-based lens-free on-chip microscope using a color CMOS sensor and a matching modified phase retrieval algorithm for pixel super-resolution. Compared to traditional monochrome industrial cameras, color sensors favored by the consumer electronics industry have smaller pixel sizes, higher performance, and lower costs. However, the color filtering array (CFA) introduces inherent modulation to the holograms acquired under quasi-monochromatic illumination, which complicates the data processing in lens-free on-chip microscopy. Without physically removing the CFA positioned on the sensor chip, we demonstrate quantitative phase imaging (QPI) with a lateral half-width resolution of 615 nm over a wide field-of-view of 51.88 mm2 by exploiting the green-channel data from Bayer-masked holograms. The resulting spatial bandwidth product is 137.2 megapixels, over 10 times that of a conventional optical microscope. The rationale for using only green-channel data is that the information from each sampling point is not lost during propagation but rather distributed to all pixels in the image. Therefore, the missing data in other channels can be recovered by exploiting the sufficient differences among the raw images captured at different wavelengths. Compared to the scheme with monochrome sensors, this method requires the acquisition of several more images to guarantee the convergence of the algorithm. Experimental results show that we can achieve high-quality QPI performance, thus demonstrating the applicability of cost-effective color sensors in the field of lens-free holographic microscopy. [ABSTRACT FROM AUTHOR]

Massive multiple-input multiple-output (MIMO) systems that use the millimeter-wave (mm-wave) band have a higher frequency and more antennas, which leads to significant path loss, high power consumption, and server interference. Due to these issues, the spectrum efficiency is significantly reduced, making spectral efficiency improvement an important research topic for 5G communication. Together with communication in the terahertz (THz) bands, mmWave communication is currently a component of the 5Gstandards and is seen as a solution to the commercial bandwidth shortage. The quantity of continuous, mostly untapped bandwidth in the 30-300GHz band has presented a rare opportunity to boost the capacity of wireless networks. The wireless communications and consumer electronics industries have recently paid a lot of attention to wireless data transfer and media streaming in the mmWave frequency range. Simple massive MIMO beamforming technology cannot successfully prevent interference between multiple networks in the current spectrum-sharing schemes, particularly the complex interference dispersed in indoor communication systems such as homes, workplaces, and stadiums. To effectively improve spectrum utilization and reduce co-channel interference, this paper proposes a novel algorithm. The main idea is to utilize the spectrum in software-defined mmWave massive MIMO networks through coordinated and unified management. Then, the optimal interference threshold is determined through the beam alignmentmethod. Finally, a greedy optimization algorithm is used to allocate optimal spectral resources to the users. Simulation results show that the proposed algorithm improved spectral efficiency and reduced interference. [ABSTRACT FROM AUTHOR]

This thesis examines the impact of marketing and sales promotion on the sales and revenue of the refrigeration industry in Pakistan, which is one of the fastest-growing industries in the country's consumer electronics sector. The research methodology employed a mixed-methods approach, combining primary data collected through a survey questionnaire and an interview with the marketing head of the refrigeration industry and secondary data obtained through an analysis of the industry's financial records. The study found that marketing and sales promotion have a significant impact on the sales and revenue of the refrigeration industry in Pakistan, with higher marketing expenses resulting in higher revenue and profitability. The study's findings highlight the importance of effective marketing and sales promotion strategies in the consumer electronics industry in Pakistan, and the industry should invest more in these activities to improve sales and revenue and ensure long-term profitability. Policymakers should also create an enabling environment to support the growth of the industry and provide incentives to encourage investment in marketing and sales promotion. The study's results have important implications for policymakers and industry practitioners. [ABSTRACT FROM AUTHOR]

WEB technology is utilized for the configuration, interaction, and management of network equipment, which has become ubiquitous in the intelligent industry and consumer electronics field. Unauthorized access on WEB allows unauthorized users to access authorized information, causing security vulnerabilities such as information leakage and command execution. However, commonly used vulnerability detection techniques for WEB unauthorized access face increasing challenges and more efficiently identify potentially sensitive pages. We propose WEBUAD, a WEB Unauthorized Access Detection framework, for the vulnerability detection of WEB service IoT network devices. WEBUAD utilizes the depth-first search algorithm to fully mine available information on device firmware and generate a potential-visit page set as well as a similarity–matching algorithm of machine learning to calculate the similarity of the responses of a web request. Finally, we evaluate WEBUAD on 9 real physical devices from four vendors and 190 device firmware from seven vendors. The result shows that compared with the state-of-the-art tool such as IoTScope, WEBUAD discovered 5007 potentially available pages, of which 658 were accessible and 9 sensitive pages existed, taking 50 s. Furthermore, WEBUAD exposed 13 security-critical vulnerabilities. Our approach can be used to automate the discovery of the WEB unauthorized access vulnerabilities of IoT devices. [ABSTRACT FROM AUTHOR]

Nowadays, artificial intelligence is used everywhere in the world and is becoming a key factor for innovation and progress in many areas of human life. From medicine to industry to consumer electronics, its influence is ever-expanding and permeates all aspects of our modern society. This article presents the use of artificial intelligence (prediction) for the control of three motors used for effector control in a spherical parallel kinematic structure of a designed device. The kinematic model used was the "Agile eye" which can achieve high dynamics and has three degrees of freedom. A prototype of this device was designed and built, on which experiments were carried out in the framework of motor control. As the prototype was created through the means of the available equipment (3D printing and lathe), the clearances of the kinematic mechanism were made and then calibrated through prediction. The paper also presents a method for motor control calibration. On the one hand, using AI is an efficient way to achieve higher precision in positioning the optical axis of the effector. On the other hand, such calibration would be rendered unnecessary if the clearances and inaccuracies in the mechanism could be eliminated mechanically. The device was designed with imperfections such as clearances in mind so the effectiveness of the calibration could be tested and evaluated. The resulting control of the achieved movements of the axis of the device (effector) took place when obtaining the exact location of the tracked point. There are several methods for controlling the motors of mechatronic devices (e.g., Matlab-Simscape). This paper presents an experiment performed to verify the possibility of controlling the kinematic mechanism through neural networks and eliminating inaccuracies caused by imprecisely produced mechanical parts. [ABSTRACT FROM AUTHOR]

Sentiment analysis is a new tool on new social media platforms, locations very attractive to the global consumer industry to investigate, due to their relevance and increased consumption in a pandemic. This study aims to determine the predominant sentiment and emotions on Twitter through a sentiment analysis in the consumer electronics industry, according to the top 30 companies of the Consumer Electronic Show 2020, by analyzing 96,000 tweets with a total of 273,221 words. The methodology used is quantitative, of a descriptive type, that integrates the study of emotions and sentiment through a statistical analysis of the tweets with R. The main results identify that the predominant sentiment is of positive assessment and the emotions of anticipation and confidence were the most representative. The contribution of this research is to provide empirical evidence of the global consumer electronics industry for correct decision-making through a data language analysis procedure on Twitter. [ABSTRACT FROM AUTHOR]

The aim of the research was to determine the extent and purpose of using mobile phones by Generation Z consumers before, during and after shopping in brick-and-mortar stores. The stratified group consisted of 785 residents of the Slovak Republic born between 1997 and 2012 inclusive. The survey has been conducted using the inquiry method - an online questionnaire based on the Google Forms platform. The questions were formulated into three logically interconnected parts: the purpose of using the mobile phone by the respondents in the phase before, during and after the purchase in a brick-and-mortar store. In addition, we also examined the respondents’ activity on social networks during the purchase in the brick-and-mortar store and, finally, demographic data. We formulated two hypotheses and three assumptions. One hypothesis and one assumption were confirmed. On the contrary, one hypothesis was disproved, and two assumptions were not confirmed. The hypothesis focused on the relationship between the main ways of using a mobile phone and the activity on social networks during shopping in a brick-and-mortar store was confirmed. The hypothesis focused on the relationship between the gender of consumers and the use of a mobile phone during shopping in a brick-and-mortar store was disproved. The assumption regarding the use of a mobile phone while shopping for food in a brick-and-mortar store for the purpose of comparing product prices was confirmed. The assumption regarding the use of a mobile phone while shopping for consumer electronics in order to search for product information was not confirmed. Likewise, the assumption regarding the use of a mobile phone while shopping for clothes in a brick-and-mortar store in order to connect with friends or acquaintances in order to ask for their advice was not confirmed. These findings are beneficial for retail practice operating a chain of brickand-mortar stores. [ABSTRACT FROM AUTHOR]

Cobalt is a key element of the lithium-ion batteries that supply energy and continuous power to several electronic equipments such as cellphones, computers, and electric vehicles. Due to the depletion of primary sources of metal extraction and limited supply, countries are now focusing on recycling secondary resources for economic and sustainable management. Though the majority of the technologies involved are focused on industrial-scale development, they lack eco-friendliness and efficiency. The dead lithium-ion batteries containing several valuable metals such as cobalt, lithium, manganese and nickel are regarded as an appealing secondary resource. Battery recycling is required not only to reduce energy consumption but also to alleviate the scarcity of rare resources and eliminate pollution from hazardous components, as the world moves toward more sustainable industries such as consumer electronics and electric vehicles. The significance of cobalt recovery from secondary resources is emphasized in this paper. From the research, it is found that the amount of cobalt is more in the spent LIBs. Hence, focus is given on the green method of leaching of the spent Lithium-ion batteries (LIB) and extracting the valuable metals such as cobalt, nickel and lithium using organic acids. The method of using organic acids as leachant is environmentally friendly, cost-effective, and has the potential to provide sustainable development in the battery industry. This initiative is aimed to stimulate people's interest in wasted LIBs recycling with organic acids and raise awareness of the benefits. [ABSTRACT FROM AUTHOR]