Consumer Electronics Research Articles

Structural diversity of decalin forming Diels-Alderase.

The Diels-Alder (DA) reaction, specifically referring to the [4+2] cycloaddition reaction in pericyclic reactions, is a process that forms two carbon-carbon covalent bonds in a single step via an electron ring transition state. Among the secondary metabolites produced by microorganisms, numerous compounds are biosynthesized through DA reactions, most of which are enzymatic. Our research group has discovered an enzyme named Diels-Alderase (DAase) that catalyzes the DA reaction in filamentous fungi, and we have been investigating its catalytic mechanism. This review describes the reported microbial DAase enzymes, with a particular focus on those involved in the construction of the decalin ring.

FPGA-enhanced IoT methods for disease pre-screening and prediction: An energy optimization approach

The research paper has introduced a system based on the Internet of Things (IoT) that has the potential to contribute to the creation of a Consumer Electronics (CE) product. In the event that any health-related measure deviates from the normal range, this system, which is based on IoT technology, will send a notification to the user. The data collected by this system is sent to an analysis system based on a Field Programmable Gate Array (FPGA) through a mobile application, and then transferred to the cloud for storage. To display this raw data, a wearable IoT device can be utilized, and the system will process the data accordingly. The major innovation of this proposed project lies in the development of a fuzzy classifier that can accurately predict the pathological condition of an illness. By implementing a fuzzy classifier using FPGA, the execution time is greatly reduced i.e. 57.7μs compared to other algorithms. Ans also the accuracy of the proposed model is 98.8 %, which higher then other machine learning model such as 97 %, 96.5 %, 93.2 % respectively for SVM, KNN and DT models.previous models like KNN, DT, SVM, and NB (Naive Bayes).

Aluminium-Silicon Lightweight Thermal Management Alloys with Controlled Thermal Expansion

With the ever-growing emphasis on global decarbonization and rapid increases in the power densities of electronics equipment in recent years, new methods and lightweight materials have been developed to manage heat load as well as interfacial stresses associated with coefficient of thermal expansion (CTE) mismatches between components. The Al–Si system provides an attractive combination of CTE performance and high thermal conductivity whilst being a very lightweight option. Such materials are of interest to industries where thermal management is a key design criterion, such as the aerospace, automotive, consumer electronics, defense, EV, and space sectors. This paper will describe the development and manufacture of a family of high-performance hypereutectic Al–Si alloys (AyontEX™) by a powder metallurgy method. These alloys are of particular interest for structural heat sink applications that require high reliability under thermal cycling (CTE of 17 μm/(m·°C)), as well as reflective optics and instrument assemblies that require good thermal and mechanical stability (CTE of 13 μm/(m·°C)). Critical performance relationships are presented, coupled with the microstructural, physical, and mechanical properties of these Al–Si alloys.

Novel Fabrication Techniques for Ultra-thin Silicon Based Flexible Electronics

Abstract Flexible electronics offer a multitude of advantages, such as flexibility, lightweight properties, portability, and high durability. These unique properties allow for seamless applications to curved and soft surfaces, leading to extensive utilization across a wide range of fields in consumer electronics. These applications, for example, span integrated circuits, solar cells, batteries, wearable devices, bio-implants, soft robotics, and biomimetic applications. Recently, flexible electronic devices have been developed using a variety of materials such as organic, carbon-based, and inorganic semiconducting materials. Silicon (Si) owing to its mature fabrication process, excellent electrical, optical, thermal properties, and cost-efficiency, remains a compelling material choice for flexible electronics. Consequently, the research on ultra-thin Si in the context of flexible electronics is studied rigorously nowadays. The thinning of Si is crucially important for flexible electronics as it reduces its bending stiffness and the resultant bending strain, thereby enhancing flexibility while preserving its exceptional properties. This review provides a comprehensive overview of the recent efforts in the fabrication techniques for forming ultra-thin Si using top-down and bottom-up approaches and explores their utilization in flexible electronics and their applications.

Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach

Abstract Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a user’s perspective is the remaining energy in the battery. It is usually presented as the percentage of remaining energy compared to the total energy that can be stored and is labeled State Of Charge (SOC). This work addresses the development of a hybrid model based on a Lithium Iron Phosphate (LiFePO4) power cell, due to its broad implementation. The proposed model calculates the SOC, by means of voltage and electric current as inputs and the latter as the output. Therefore, four models based on k-Means, Agglomerative Clustering, Gaussian Mixture and Spectral Clustering techniques have been tested in order to obtain an optimal solution.

Imidazole‐Intercalated Cobalt Hydroxide Enabling the Li+ Desolvation/Diffusion Reaction and Flame Retardant Catalytic Dynamics for Lithium Ion Batteries

AbstractLithium‐ion batteries have found extensive applications due to their high energy density and low self‐discharge rates, spanning from compact consumer electronics to large‐scale energy storage facilities. Despite their widespread use, challenges such as inherent capacity degradation and the potential for thermal runaway hinder sustainable development. In this study, we introduce a unique approach to synthesize anode materials for lithium‐ion batteries, specifically imidazole‐intercalated cobalt hydroxide. This innovative material significantly enhances the Li+ desolvation/diffusion reaction and flame‐retardant dynamics through complexing and catalytic synergetic effects. The lithium‐ion batteries incorporating these materials demonstrate exceptional performance, boasting an impressive capacity retention of 997.91 mAh g−1 after 500 cycles. This achievement can be attributed to the optimization of the solid electrolyte interphase (SEI) interface engineering, effectively mitigating anode degradation and minimizing electrolyte consumption. Experimental and theoretical calculations validate these improvements. Importantly, imidazole intercalated Co(OH)2 (MI−Co(OH)2) exhibits a remarkable catalytic effect on electrolyte carbonization and the conversion of CO to CO2. This dual action suppresses smoke and reduces toxicity significantly. The presented work introduces a novel approach to realizing high‐performance and safe lithium‐ion batteries, addressing key challenges in the pursuit of sustainable energy solutions.

Imidazole-Intercalated Cobalt Hydroxide Enabling the Li+ Desolvation/Diffusion Reaction and Flame Retardant Catalytic Dynamics for Lithium Ion Batteries.

Lithium-ion batteries have found extensive applications due to their high energy density and low self-discharge rates, spanning from compact consumer electronics to large-scale energy storage facilities. Despite their widespread use, challenges such as inherent capacity degradation and the potential for thermal runaway hinder sustainable development. In this study, we introduce a unique approach to synthesize anode materials for lithium-ion batteries, specifically imidazole-intercalated cobalt hydroxide. This innovative material significantly enhances the Li+ desolvation/diffusion reaction and flame-retardant dynamics through complexing and catalytic synergetic effects. The lithium-ion batteries incorporating these materials demonstrate exceptional performance, boasting an impressive capacity retention of 997.91 mAh g-1 after 500 cycles. This achievement can be attributed to the optimization of the solid electrolyte interphase (SEI) interface engineering, effectively mitigating anode degradation and minimizing electrolyte consumption. Experimental and theoretical calculations validate these improvements. Importantly, imidazole intercalated Co(OH)2 (MI-Co(OH)2) exhibits a remarkable catalytic effect on electrolyte carbonization and the conversion of CO to CO2. This dual action suppresses smoke and reduces toxicity significantly. The presented work introduces a novel approach to realizing high-performance and safe lithium-ion batteries, addressing key challenges in the pursuit of sustainable energy solutions.

Consumer electronics based smart technologies for enhanced terahertz healthcare having an integration of split learning with medical imaging

The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as training, used newly proposed slit learning method the technology promises enhanced imaging depth and improved tissue contrast, thereby enabling early and accurate disease detection the breast cancer disease. In our hybrid algorithm, the breast cancer model achieves an accuracy of 97.5 percent over 100 epochs, surpassing the less accurate old models which required a higher number of epochs, such as 165.

Spider silk biological material for Q-switched temperature sensor

Abstract A temperature sensor using compact design and highly sensitivity of side polished fiber and fiber Bragg grating as the sensing elements, Q-switched pulse fiber laser source with spider silk as a saturable absorber is proposed and demonstrated. Spider silk sample was gently collected from a live spider, specifically, the jumping spider of Plexippus sp. which then incorporated within the laser cavity by deposited the silk onto the surface of the fiber ferrule to facilitate the generation of Q-switched pulse fiber laser. The temperature variations were detected by monitoring the pulse train and radio frequency shift from the oscilloscope. The performance of the side polished fiber sensor probe shows a sensitivity of 0.1522 kHz/°C, with 0.9479 coefficient of determination value as the temperature increased from -0.5 °C to +3.1 °C. Besides, a linear temperature re-sponse in the range of 25 °C – 55 °C with a sensitivity of 0.0423 kHz/°C, and a linear correlation coefficient of 0.951 was experimentally achieved for a fiber Bragg grating device. The spider silk as a saturable absorber material is compatible with fiber optic interconnection and the temperature sensing characteristics were successfully demonstrated. The sensor's straight-forward design further enhances its desirability as a sensor for temperature monitoring, including in the field of biological treatments, consumer electronics, detection of chemical analytes, and medical diagnosis.

PEMBUATAN DAN PELATIHAN SISTEM INFORMASI SEBAGAI UPAYA PENINGKATAN KINERJA DC MALL BATAM

Digital transformation in Industry 5.0 has become a driving force in moving companies to improve the quality of services provided to customers and ease of work. The company's needs in carrying out strategic work and policies cannot be separated from the use of systems to help manage company data. DC Mall rents out its locations to parties such as shopping centers, supermarkets, exhibition corridors, restaurants and electronics stores. One of the routine tasks in managing DC Mall is paying utilities and rent for each unit. Payments are made to the mall management every month. Efforts to develop an information system that can cover all parts of mall management, including finance, customer service, marketing and others. The aim of this activity is to implement an information system at DC Mall that is beneficial for employee and company performance. The new system is designed to cover the weaknesses of the previous system. This service activity, which includes observation, data collection, design, implementation and evaluation, was carried out for approximately three months, starting from November 10 to January 19 2024. Each member is responsible for making observations, surveying locations, collecting data, helping create information systems and training employees, and compiling service reports. Based on the results of the service, it can be concluded that the creation of the new DC Mall information system has been successful based on feedback from employees in operating and carrying out their duties.

End-to-end optimization of single-shot monocular metasurface camera for RGBD imaging

RGBD cameras that capture color and depth information have a wide range of applications such as robotics, autonomous driving, and cons umer electronics. Traditional RGBD imaging usually requires multi-cameras or extra active illumination which inevitably leads to bulky or complex imaging systems, hindering the growing demand for compact integrated optical devices. Optical metasurface have emerged as a powerful substitute to the traditional diffractive optical element due to the superior dispersion manipulation and extremely compact size. However, it is still a great challenge to realize a single-shot monocular metasurface camera, due to the strong and unignorable wavelength-dependent aberrations. In this work, we demonstrate an end-to-end compact single-shot monocular metasurface camera for RGBD imaging. By utilizing end-to-end joint optimization framework to learn metasurface physical structure in conjunction with deep neural networks reconstruction algorithm, the multidimensional light field information RGBD of a scene in a single shot can be reconstructed within a depth range of 0.5m. Compared with traditional lens-based RGBD imaging, our proposed metasurface-based imaging achieves an improvement of about 2dB in chromatic imaging and a 4 times increase in depth estimation accuracy. Our proposed scheme could facilitate the further development of the intelligent computational meta-optics in diverse fields ranging from machine vision to biomedical imaging.

The Metaverse for Cognitive Health: A Paradigm Shift

The Metaverse, frequently dubbed as ”the successor of mobile internet”, is a paradigm which aims to build an immersive, spatiotemporal and self-sustained virtual, but realistic world for all age groups. The Metaverse is stepping from science fiction to reality due to the advances in technologies like Extended Reality, Virtual Reality, Augmented Reality, Artificial Intelligence, the Internet of Everything, eXtended meta-uni-omni-Verse and Digital Twins. Consumer electronics such as wearables, television, and smartphones are essential components of the Metaverse that can be used to accurately collect and measure data concerning user interaction and thereby create an immersive environment. This article discusses the state of art literature about how the Metaverse can be used for improving cognitive health, various scenarios where the Metaverse could help doctors to better treat cognitive patients, and finally, the future research directions that can realize the potential of the Metaverse for cognitive health.

Design of the beam transport optics of TRIUMF’s new 300 keV H− ion source terminal

An ion beam transport system has been designed to transport a highly intense and bright beam extracted from the H− ion source. This new system will be installed at the new injection terminal for the TRIUMF’s 500 MeV H− cyclotron. The low energy part of the transport section (25 keV) in the injection terminal has been designed with magnetic optical elements in order to maintain space charge neutralization. The injection terminal includes a permanent magnet lens, magnetic steerers, a pulser, a beam dump, and a 300 kV acceleration column with electron and positive ion suppressor rings. Beam optics calculations have been performed, including space charge effects up to 1 mA. The simulation results of the beam optics design are presented in this paper.

Unlocking the potential of polymer 3D printed electronics: Challenges and solutions

The field of 3D printed electronics has been rapidly growing in recent years, with the potential to revolutionize industries such as healthcare, aerospace, and consumer electronics. Polymer 3D printing has emerged as a promising technique for fabricating electronic devices due to its versatility, scalability, and cost-effectiveness. However, there are several challenges that need to be addressed in order to fully unlock the potential of polymer 3D printed electronics. This research paper discusses the current state of the art in this field, highlighting the current challenges and proposing potential solutions. These challenges include material selection, design considerations, printing techniques, and post-processing methods. In addition, the paper explores the limitations of existing polymer materials and presents recent advances in the development of new functional materials for 3D printing. Furthermore, the integration of various components and multi-material printing techniques are also discussed as key factors in advancing the capabilities of 3D printed electronics. Finally, this paper provides insights and recommendations for future research directions in order to fully realize the potential of polymer 3D printed electronics.

Toward Sustainable Electroluminescent Devices for Lighting and Sensing

AbstractIn today's rapidly evolving technological landscape, electroluminescent devices have emerged as pivotal components, illuminating a path toward energy‐efficient lighting solutions, advanced displays, and integrated sensing technologies, profoundly impacting sectors ranging from consumer electronics to sustainable urban development. Based in such socio‐scientific‐economic scenario, and in the pursuit of sustainable and environmentally conscious technologies, this work presents a novel approach to the development of a multifunctional electroluminescent (EL) device capable of both efficient lighting and electric field frequency sensing applications. The proposed device integrates a composite based on zinc sulfide co‐doped with copper (ZnS:Cu) phosphor particles and plant‐based UV resin, to achieve enhanced functional properties and reduced environmental impact. The developed anycubic plant‐based UV resin clear (ECOr)/ZnS:Cu inks display viscosity values between 0.5 and 100 Pa.s (ensuring good quality of screen‐prints), and after printing composites exhibit thermal stability up to ≈200 °C; morphological homogeneity, dielectric properties dependent on the ZnS:Cu content (dielectric constant of 12.8 for the sample with 80 wt.% of filler); 30 cd.m2 luminance for the sample with 80 wt.% of ZnS:Cu; and colorimetric electric field frequency sensing capability in the 0–3 kHz range. Thus, this research contributes to the advancement of sustainable technologies that prioritize both multifunctionality and environmental responsibility in the fabrication of electroluminescent devices for lighting and sensing.

Deciphering Advanced Sensors for Life and Safety Monitoring of Lithium Batteries

AbstractThe rapid commercialization of lithium batteries greatly promotes the development of the electric vehicles, renewable energy storage systems and consumer electronics. The service lifetime and safety of lithium batteries are extremely concerned by terminal customers. Sensor technology is powerful in monitoring the physical and chemical signals of lithium batteries, serving for the state of health and safety warning/evaluation of lithium batteries and guide for future development of battery materials. In this review, the primary concern is the generation mechanisms of different physicochemical signals in lithium batteries. Then, the sensing methods and sensing designs according to different physicochemical signals of lithium batteries is summarized. Finally, some perspectives are provided to guide further development of sensing technology for lithium batteries. This review will greatly accelerate the terminal application of advanced sensors, whether in commercial products or scientific research.

Study of cyclic codes from low differentially uniform functions and its consequences

Cyclic codes have many applications in consumer electronics, communication and data storage systems due to their efficient encoding and decoding algorithms. An efficient approach to constructing cyclic codes is the sequence approach. In their articles (Ding and Zhou 2014 [11]) and (Ding, 2013 [7]), Ding and Zhou constructed several classes of cyclic codes from almost perfect nonlinear (APN) functions and planar functions over finite fields and presented some open problems on cyclic codes from highly nonlinear functions. This article focuses on these exciting works by investigating new insights in this research direction. Specifically, its objective is twofold. The first is to provide a complement with some former results and present correct proofs and statements on some known ones on the cyclic codes from the APN functions. The second is studying the cyclic codes from some known functions processing low differential uniformity. Along with this article, we shall answer some open problems presented in the literature. The first concerns Open Problem 1, proposed by Ding and Zhou (2014) [11]. The others are Open Problems 5.16 and 5.25, raised by Ding (2013) [7].

Magnetorheological Fluid-Based Haptic Feedback Damper

Damping involves the various frictional and other obstructive effects that attenuate free vibration. For a long time, people have mainly used it to make various dampers to reduce mechanical vibration and consume kinetic energy. It is widely used in fields such as aerospace, automotive, and consumer electronics. These dampers mainly act on mechanical structures. In recent years, with the rapid development of novel human–machine interaction methods and force/tactile feedback technology, the damper has begun to act on people, such as when a person interacts with a robot and their force is applied to a structure with damping. This type of damper requires variable damping, and the amount of variation is controlled by the magnitude of human action. This study used magnetorheological fluid (MRF) instead of traditional damping fluids, such as silicone oil, sesame oil, and mechanical oil. Magnetorheological fluid is a controllable fluid with magnetorheological effects, and its viscosity (hardness) can be changed by changing the nearby magnetic field. This study took the design of variable damping keyboard buttons with haptic feedback as an example to study the electromagnetic and dynamic models of variable dampers based on magnetorheological fluids. The experimental setup was designed and used to verify the haptic effectiveness of the scheme, which can be applied to the development of other haptic dampers that require variable damping.

Innovative Approaches to Sustainable Computer Numeric Control Machining: A Machine Learning Perspective on Energy Efficiency

Computer Numeric Control (CNC) five-axis milling plays a significant role in the machining of precision molds and dies, aerospace parts, consumer electronics, etc. This research aims to explore the potential of the machine learning (ML) technique in improving energy efficiency during the CNC five-axis milling process for sustainable manufacturing. The experiments with various machining parameters, forms of toolpath planning, and dry cutting conditions were carried out, and the data regarding energy consumption were collected simultaneously. The relationship between machine parameters and energy consumption was analyzed and built. Subsequently, a machine learning algorithm was developed to classify test methods and identify energy-efficient machining strategies. The developed algorithm was implemented and assessed using different classification methods based on the ML concept to effectively reduce energy consumption. The results show that the Decision Tree and Random Forest algorithms produced lower Root Mean Square Error (RMSE) values of 4.24 and 4.28, respectively, compared to Linear, Lasso, and Ridge Regression algorithms. Verification experiments were conducted to ascertain the real-world applicability and performance of the ML-based energy efficiency approach in an operational CNC five-axis milling machine. The findings not only underscore the potential of ML techniques in optimizing energy efficiency but also offer a compelling pathway towards enhanced sustainability in CNC machining operations. The developed algorithm was implemented within a simulation framework and the algorithm was rigorously assessed using machine learning analysis to effectively reduce energy consumption, all while ensuring the accuracy of the machining results and integrating both conventional and advanced regression algorithms into CNC machining processes. Manufacturers stand to realize substantial energy savings and bolster sustainability initiatives, thus exemplifying the transformative power of ML-driven optimization strategies.

Spectral imaging based on custom-made multi-strip filter arrays

Spectral imaging technology based on on-chip spectroscopy can find applications in areas including aerospace, industrial and consumer electronics, and so on. Since each application normally requires a different set and number of spectral bands, the development of customized spectroscopy solutions with more compact size and lower cost becomes quite important. In this paper, we demonstrate a compact, highly customizable imaging spectrometer scheme based on custom-made multi-strip filter arrays, which maintains an average high transmission of ∼85%, narrow bandwidth of ∼30nm, and high optical density of ∼OD2 in the blocking regions across the visible to near-infrared waveband. Spectral imaging experiments are conducted, and the accurate reconstruction of sparse spectral image data is demonstrated as well to prove the validity of the proposed scheme. As a result, the work reported in this paper allows researchers to develop customized spectral imaging equipment in a relatively easy way and also has a great potential to be engineered further for scalable production with a quite low cost.