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Journal articles on the topic 'Digital computing device'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Chen, An. "(Invited, Digital Presentation) Emerging Materials and Devices for Energy-Efficient Computing." ECS Meeting Abstracts MA2022-01, no. 19 (2022): 1073. http://dx.doi.org/10.1149/ma2022-01191073mtgabs.

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As the CMOS scaling driven by the Moore’s Law approaching the fundamental limits, high energy consumption and heat dissipation have been recognized as the most critical device challenges. Novel switching devices with significantly lower power based on unconventional mechanisms have been explored to replace CMOS in various research programs, e.g., Nanoelectronics Research Initiative (NRI). The major categories of these devices include steep-slope transistors, spintronic devices, ferroelectric devices, and van der Waals devices [1]. These devices are often implemented on emerging materials with

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Anderson, David P. "BOINC: A Platform for Volunteer Computing." Journal of Grid Computing 18, no. 1 (2019): 99–122. http://dx.doi.org/10.1007/s10723-019-09497-9.

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Abstract“Volunteer computing” is the use of consumer digital devices for high-throughput scientific computing. It can provide large computing capacity at low cost, but presents challenges due to device heterogeneity, unreliability, and churn. BOINC, a widely-used open-source middleware system for volunteer computing, addresses these challenges. We describe BOINC’s features, architecture, implementation, and algorithms.

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Fernández-Soriano, Francisco Luis, Belén López, Raquel Martínez-España, Andrés Muñoz, and Magdalena Cantabella. "Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance." Sensors 19, no. 14 (2019): 3226. http://dx.doi.org/10.3390/s19143226.

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The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of the educational community to adopt Learning Management Systems (LMS), where the digital contents replacing the traditional textbooks are exploited and managed. This article aims to study the relationship between the type of computing device from which students access the LMS and how affects their per

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Burford, Sally, and Sora Park. "The impact of mobile tablet devices on human information behaviour." Journal of Documentation 70, no. 4 (2014): 622–39. http://dx.doi.org/10.1108/jd-09-2012-0123.

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Purpose – Mobile computing devices are a significant access point for information activities. Theories and models of human information behaviour have developed over several decades but have not considered the role of the user's computing device in digital information interactions. The purpose of this paper is to explore the information behaviours of young adults when they are given unlimited access to mobile tablet devices. Design/methodology/approach – As information tasks, behaviours and communities shift into digital environments, a researcher of these phenomena is required to mirror that m

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Zhang, Lei, Lili Duan, and Jiasun Suo. "Real time handwritten digital image recognition system based on edge computing equipment." ITM Web of Conferences 47 (2022): 02026. http://dx.doi.org/10.1051/itmconf/20224702026.

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With the development of edge computing technology, real-time handwritten numeral recognition system deployed in edge computing devices has a bright future. However, the edge computing equipment has weak computing power and limited storage space, so the mainstream image recognition neural network can not guarantee the real-time performance on low-performance edge devices. To solve this problem, this paper designs a handwritten digit recognition system which is suitable for low performance edge computing devices. The system extracts the effective information such as the position of the number in

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Khakhanova, A., S. Chumachenko, D. Rakhlis, І. Hahanov, and V. Hahanov. "QUANTUM DIGITAL-ANALOGUE COMPUTING." Radio Electronics, Computer Science, Control, no. 4 (December 4, 2022): 40. http://dx.doi.org/10.15588/1607-3274-2022-4-4.

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Context. Nature is the relation among processes and phenomena. Nothing exists in the universe without relations. Computer is transactions of relations between data with the help of control and execution mechanisms. Quantum relations are a superposition of particles and their states. Superposition and entanglement are equivalent concepts. Entanglement is a non-local superposition of deterministic states. A quantum computer is unconditional transactions of relations between qubit data. Quantum computer is an analog device for parallel solution of combinatorial problems. Practically oriented defi

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Yoon, Chansoo, Gwangtaek Oh, and Bae Ho Park. "Ion-Movement-Based Synaptic Device for Brain-Inspired Computing." Nanomaterials 12, no. 10 (2022): 1728. http://dx.doi.org/10.3390/nano12101728.

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As the amount of data has grown exponentially with the advent of artificial intelligence and the Internet of Things, computing systems with high energy efficiency, high scalability, and high processing speed are urgently required. Unlike traditional digital computing, which suffers from the von Neumann bottleneck, brain-inspired computing can provide efficient, parallel, and low-power computation based on analog changes in synaptic connections between neurons. Synapse nodes in brain-inspired computing have been typically implemented with dozens of silicon transistors, which is an energy-intens

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Grinkov, A. V., M. S. Kuznetsov, A. D. Lavrinenko, S. P. Romanov, and G. E. Shiro. "DIGITAL COMPUTING DEVICE FOR A NOISE-IMMUNE COMMUNICATION SYSTEM." Defense Industry Achievements - Russian Scientific and Technical Progress, no. 2 (2022): 45–53. http://dx.doi.org/10.52190/1729-6552_2022_2_45.

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N. N. Kumbhar, G. B. Bhagat, K. K. Gawade, Dr. S. K. Tilekar, and Dr. P.V. Mane-Deshmukh. "Measurement of Temperature using Advanced Computing Device." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 4 (2024): 208–14. http://dx.doi.org/10.32628/ijsrset24114121.

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The temperature parameter plays a vital role in various fields. The human body also has some amount of temperature in a specific range. In medical treatment, temperature should be maintained in the human body according to the age group. The present research article has tried to monitor the temperature of the baby incubator for better treatment of newborn babies than the old treatment. For such a study, we deployed the PSoC62 microcontroller. The results have been displayed with the help of a UART or TFT display. The displayed data is compared to an analog thermometer and a digital voltmeter. T

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Bharath, Kumar Reddy Chinta. "Review on Mobile Computing and its Implications in Healthcare and Businesses." International Journal of Business Management and Technology 5, no. 3 (2023): 48–50. https://doi.org/10.5281/zenodo.7672399.

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Mobile computing has the capability of device control to form a trained model of machine learning. The devices use the network and relate to the wireless or wired networks which may be satellite, global, and cellular digital packet data (CDPA). The device's hardware included battery life, screen size, carriables, and inputs and outputs of the devices. The design mainly depends on the requirement of the organization's needs and its budget. The common software used in Mobile Computing MSDOS, Windows, PenDOS, Palm OS, and many others. The paper consists of a review of the current and prev

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Koprawi, Muhammad. "Parallel Computation in Uncompressed Digital Images Using Computer Unified Device Architecture and Open Computing Language." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 8, no. 1 (2020): 31–38. http://dx.doi.org/10.33558/piksel.v8i1.2017.

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In general, a computer program will execute instructions serially. These instructions will be run on the CPU or referred to as serial computing. But when computing is run in large numbers, the time required by serial computing becomes very long. Therefore, we need another computation that can streamline data processing time such as parallel computing. Parallel computing can be done on GPUs (Graphical Processing Units) that are run with the help of toolkits such as CUDA (Computer Unified Device Architecture) and OpenCL (Open Computing Language). CUDA can only be run on NVIDIA graphics cards, wh

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Yeh, Her-Tyan, Juing-Shian Chiou, and Ting-Jun Zhou. "A Karaoke System with Real-Time Media Merging and Sharing Functions for a Cloud-Computing-Integrated Mobile Device." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/713589.

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Mobile devices such as personal digital assistants (PDAs), smartphones, and tablets have increased in popularity and are extremely efficient for work-related, social, and entertainment uses. Popular entertainment services have also attracted substantial attention. Thus, relevant industries have exerted considerable efforts in establishing a method by which mobile devices can be used to develop excellent and convenient entertainment services. Because cloud-computing technology is mature and possesses a strong computing processing capacity, integrating this technology into the entertainment serv

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Milo, Valerio, Gerardo Malavena, Christian Monzio Compagnoni, and Daniele Ielmini. "Memristive and CMOS Devices for Neuromorphic Computing." Materials 13, no. 1 (2020): 166. http://dx.doi.org/10.3390/ma13010166.

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Neuromorphic computing has emerged as one of the most promising paradigms to overcome the limitations of von Neumann architecture of conventional digital processors. The aim of neuromorphic computing is to faithfully reproduce the computing processes in the human brain, thus paralleling its outstanding energy efficiency and compactness. Toward this goal, however, some major challenges have to be faced. Since the brain processes information by high-density neural networks with ultra-low power consumption, novel device concepts combining high scalability, low-power operation, and advanced comput

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Rivalri Kristianto Hondro, Hendro Sutomo Ginting, Peter Jaya Negara Simanjuntak, Hanna Tresia Silalahi, and Sarwandi. "Use of Machine Learning in Power Consumption Optimization of Computing Devices." Indonesian Journal of Data and Science 6, no. 1 (2025): 104–12. https://doi.org/10.56705/ijodas.v6i1.231.

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High power consumption on computing devices is a big challenge in the digital era that relies on intensive computing. This research aims to optimize power consumption on computing devices using machine learning. The random forest algorithm was chosen as the main model due to its ability to handle non-linear data and interactions between features. The data used includes historical power consumption, workload, environmental parameters, and device configuration. The research stages include data collection, data pre-processing, model development, evaluation, and implementation. The results showed

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Casadei, Roberto, Danilo Pianini, Mirko Viroli, and Danny Weyns. "Digital Twins, Virtual Devices, and Augmentations for Self-Organising Cyber-Physical Collectives." Applied Sciences 12, no. 1 (2021): 349. http://dx.doi.org/10.3390/app12010349.

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The engineering of large-scale cyber-physical systems (CPS) increasingly relies on principles from self-organisation and collective computing, enabling these systems to cooperate and adapt in dynamic environments. CPS engineering also often leverages digital twins that provide synchronised logical counterparts of physical entities. In contrast, sensor networks rely on the different but related concept of virtual device that provides an abstraction of a group of sensors. In this work, we study how such concepts can contribute to the engineering of self-organising CPSs. To that end, we analyse t

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Saxena, Vishal, Xinyu Wu, Ira Srivastava, and Kehan Zhu. "Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency." Journal of Low Power Electronics and Applications 8, no. 4 (2018): 34. http://dx.doi.org/10.3390/jlpea8040034.

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The ongoing revolution in Deep Learning is redefining the nature of computing that is driven by the increasing amount of pattern classification and cognitive tasks. Specialized digital hardware for deep learning still holds its predominance due to the flexibility offered by the software implementation and maturity of algorithms. However, it is being increasingly desired that cognitive computing occurs at the edge, i.e., on hand-held devices that are energy constrained, which is energy prohibitive when employing digital von Neumann architectures. Recent explorations in digital neuromorphic hard

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Efanov, D. V. "Fault-tolerant Structures of Digital Devices Based on Boolean Complement with the Calculations Checking by Sum Codes." Èlektronnoe modelirovanie 43, no. 5 (2021): 21–42. http://dx.doi.org/10.15407/emodel.43.05.021.

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The article considers the construction of fault-tolerant digital devices and computing systems that does not use the principles of introducing modular redundancy. To correct the signals, a special distorted signal fixation unit, concurrent error-detection by the pre-selected redundant code circuit, as well as a signal correction block are used. The distorted signal fixation unit is implemented by the Boolean complement method, which makes it possible to design a large number of such blocks with different indicators of technical implementation complexity. When synthesizing a fault-tolerant devi

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Kondapalli, Sri Harsha, Xuan Zhang, and Shantanu chakrabartty. "Energy-Dissipation Limits in Variance-Based Computing." Fluctuation and Noise Letters 17, no. 02 (2018): 1850013. http://dx.doi.org/10.1142/s021947751850013x.

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Variance-based logic (VBL) uses the fluctuations or the variance in the state of a particle or a physical quantity to represent different logic levels. In this paper, we show that compared to the traditional bi-stable logic representation, the variance-based representation can theoretically achieve a superior performance trade-off (in terms of energy dissipation and information capacity) when operating at fundamental limits imposed by thermal noise. We show that, in addition to the universal KT ln(1/[Formula: see text]) energy dissipation required for a single bit flip, a bi-stable logic devic

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Shukla, Vandana, O. P. Singh, G. R. Mishra, and R. K. Tiwari. "Design and Implementation of Four Bit Binary Shifter Circuit Using Reversible Logic Approach." International Journal of Reconfigurable and Embedded Systems (IJRES) 4, no. 3 (2015): 213. http://dx.doi.org/10.11591/ijres.v4.i3.pp213-218.

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Shifter circuits are the key component of arithmetic logic unit as well as storage unit of any digital computing device. Designing these shifter circuits using reversible logic approach leads to create low power loss digital systems. Reversible circuit design approach is nowadays widely applicable in various disciplines such as Nanotechnology, Low power CMOS design, Optical computing etc. This paper presents two design approaches for four bit binary combinational shifter circuit with the help of different types of reversible logic gates. The proposed optimized design is simulated using Modelsi

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Sakai, Keita, Mamiko Yagi, Mitsuki Ito, and Jun-ichi Shirakashi. "Multiple connected artificial synapses based on electromigrated Au nanogaps." Journal of Vacuum Science & Technology B 40, no. 5 (2022): 053202. http://dx.doi.org/10.1116/6.0002081.

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Building an artificial synaptic device with multiple presynaptic inputs will be a significant step toward realization of sophisticated brain-inspired platforms for neuromorphic computing. However, an artificial synapse that can mimic functions of multiple synapses in a single device has not yet been well developed with existing electronic devices. Here, we experimentally implement the functions of multiple synapses in a single artificial synaptic device consisting of multiple connected nanogap electrodes. The “activation” technique, which is based on electromigration of metal atoms induced by

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Huang, Tianci, Yuxuan Wang, Zhihan Jin, et al. "A Review of Nanowire Devices Applied in Simulating Neuromorphic Computing." Nanomaterials 15, no. 10 (2025): 724. https://doi.org/10.3390/nano15100724.

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With the rapid advancement of artificial intelligence and machine learning technologies, the demand for enhanced device computing capabilities has significantly increased. Neuromorphic computing, an emerging computational paradigm inspired by the human brain, has garnered growing attention as a promising research frontier. Inspired by the human brain’s functionality, this technology mimics the behavior of neurons and synapses to enable efficient, low-power computing. Unlike conventional digital systems, this approach offers a potentially superior alternative. This article delves into the appli

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HINTIKKA, JAAKKO, and GABRIEL SANDU. "WHAT IS THE LOGIC OF PARALLEL PROCESSING?" International Journal of Foundations of Computer Science 06, no. 01 (1995): 27–49. http://dx.doi.org/10.1142/s0129054195000044.

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We can associate with each consistent formula F of first-order logic a computing device as its representation. This computing device is one which will calculate the Skolem functions of F (for a denumerable domain). When two such devices are operating in parallel, the resulting architecture does not necessarily represent any ordinary first-order formula, but it will represent a formula in independence-friendly (IF) logic, which hence can be considered as a true logic of parallel processing. In order to preserve representability by a digital automaton (Turing machine), a nonstandard (constructiv

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Yang, Le, Han Wang, Jiajian Zheng, Xin Duan, and Qishuo Cheng. "Research and Application of Visual Object Recognition System Based on Deep Learning and Neural Morphological Computation." International Journal of Computer Science and Information Technology 2, no. 1 (2024): 10–17. http://dx.doi.org/10.62051/ijcsit.v2n1.02.

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The development of advanced optoelectronic vision sensors for high-level image recognition and data preprocessing is poised to accelerate the progress of machine vision and mobile electronic technology. Compared to traditional sensory computing methods, such as analog-to-digital signal conversion and digital logic computation tasks (i.e., Von Neumann computing), neural morphological vision computing can significantly improve energy efficiency and data processing speed by minimizing unnecessary raw data transmission between front-end photosensitive sensors and back-end processors. Neural morpho

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Chen, An, Stefano Ambrogio, Pritish Narayanan, et al. "(Invited) Emerging Nonvolatile Memories for Analog Neuromorphic Computing." ECS Meeting Abstracts MA2024-01, no. 21 (2024): 1293. http://dx.doi.org/10.1149/ma2024-01211293mtgabs.

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Emerging non-volatile memory (NVM) devices, such as STT-MRAM, PCM, RRAM, have been explored for embedded memory and storage applications to replace CMOS-based SRAM/DRAM and Flash devices. Recently, many of these memory devices have been utilized for new computing paradigms beyond Boolean logic and von Neumann architectures. For example, in-memory analog computing reduces data movement between computing and memory units and exploits the intrinsic parallelism in memory arrays. It finds a natural application in deep neural network (DNN) accelerators by implementing high-throughput high-efficiency

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Poddar, Swapnadeep, Yuting Zhang, Zhesi Chen, Zichao Ma, and Zhiyong Fan. "(Digital Presentation) Resistive Switching and Brain-Inspired Computing in Perovskite Nanowires and Quantum Wires." ECS Meeting Abstracts MA2022-02, no. 36 (2022): 1336. http://dx.doi.org/10.1149/ma2022-02361336mtgabs.

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In the past decade, halide perovskites (HPs) have shot to fame in the genre of optoelectronics and photovoltaics owing to their large absorption co-effcient, high color purity, tunable bandgap and long charge diffusion lengths. Besides these traits, HPs also possess innumerable charge transport pathways, inherent hysteresis, high charge-carrier and ionic mobilities which render them as ideal candidates for resistive random access switching memories (RRAMs). However owing to material and electrical instability associated with HP thin-film devices, the figures-of-merits (FOMs) namely retention,

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Cheng, Jinn-Shing, Echo Huang, and Chuan-Lang Lin. "An e-book hub service based on a cloud platform." International Review of Research in Open and Distributed Learning 13, no. 5 (2012): 39. http://dx.doi.org/10.19173/irrodl.v13i5.1251.

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Due to the constant performance upgrades and regular price reductions of mobile devices in recent years, users are able to take advantage of the various devices to obtain digital content regardless of the limitations of time and place. The increasing use of e-books has stimulated new e-learning approaches. This research project developed an e-book hub service on a cloud computing platform in order to overcome the limitations of computing capability and storage capacity that are inherent in many mobile devices. The e-book hub service also allows users to automatically adjust the rendering of mu

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Sapozhnikov, N. E., V. G. Zolotykh, and A. S. Zakharov. "About Possibilities of the Probabilistic Form of Information Representation in Military Computing Devices." Intellekt. Sist. Proizv. 19, no. 4 (2021): 111–17. http://dx.doi.org/10.22213/2410-9304-2021-4-111-117.

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At present, digital signal processing involves enormous amounts of computations with large-bit arrays, which are carried out in real time. In connection with the need to solve more and more complex problems, constantly growing requirements are imposed on the main parameters of digital processors (speed, reliability, power consumption, etc.), which determine the computing capabilities of systems with digital signal processing. In turn, the rapid development of microelectronics, its successes make it possible to create more and more high-performance computing systems, which makes it possible to

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Yao, Min. "Research on the Frame System of Digital Library Mobile Cloud Service Platform." Advanced Materials Research 1061-1062 (December 2014): 1079–82. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1079.

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Mobile cloud computing provides a deeper hierarchical tangibility for the construction and environment of digital library and mobile cloud services will certainly become the service mode of the future digital library. From three aspects: information resources integration, the expansion of mobile terminal device capability, information service innovation, this paper discusses upgrade of overall strength of mobile cloud design to digital library information service. At the same time, it also detailed introduces the main function of mobile computing platform layer, mobile cloud library platform l

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Sun, Xiangping. "Application and Challenges of Digital Transformation in Medical Device Project Management." Journal of Management and Social Development 2, no. 1 (2025): 28–32. https://doi.org/10.62517/jmsd.202512105.

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Digital transformation is reshaping project management in the medical device industry. With advancements in big data, artificial intelligence (AI), cloud computing, the Internet of Things (IoT), and blockchain, companies are optimizing workflows, accelerating R&D, strengthening supply chain management, and ensuring regulatory compliance. This paper explores the applications of digital technologies in medical device project management, examines key challenges in the transformation process, and proposes strategic solutions. By providing theoretical insights and practical guidance, this study

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Celesti, Antonio, Ivanoe De Falco, Giovanna Sannino, and Lorenzo Carnevale. "Special Issue: Digital Healthcare Leveraging Edge Computing and the Internet of Things." Sensors 25, no. 5 (2025): 1571. https://doi.org/10.3390/s25051571.

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Xu, Jing, Juan Li, Liang Zhang, Chaoming Huang, Hao Yu, and Haoran Ji. "A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks." Processes 12, no. 7 (2024): 1328. http://dx.doi.org/10.3390/pr12071328.

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Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-t

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Efanov, D. V. "Transitions weight-based sum code for the digital computing devices synthesis." Èlektronnoe modelirovanie 43, no. 6 (2021): 61–75. http://dx.doi.org/10.15407/emodel.43.06.061.

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A method for constructing a family of sum codes is described based on weighting the transitions between groups of bits in the data vector. In this case, weights are used that are powers of the number 2. This makes it possible to obtain a code with check bits described by linear functions. The proposed weight-based sum code makes it possible to synthesize self-checking devices based on the standard elements and optimization methods of the logical device’s structures. A standard structure of a device with a concurrent error-detection (CED) circuit based on transitions weight-based sum codes betw

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Abidova, Gulmira Shuxratovna, Gulchiroy Rahimjon qizi Qahharova, and Sardor Boboyarovich Nuriddinov. "CALCULATION AND DEVELOPMENT OF A DEVICE FOR AUTOMATIC GAIN SELECTION OF A MEASURING AMPLIFIER." Научный онлайн Журнал Интеграл 73 (May 1, 2022): 4–14. https://doi.org/10.5281/zenodo.6527495.

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<em>The article discusses the development of a device for automatic selection of the gain of the measuring amplifier. A block diagram of a differentiator with reversible counters and an adder is presented. The main methods for constructing devices for data collection with an extended range are given. It is shown that to select the optimal structure of specialized digital computing devices, the criteria of "relationship type" and "weighted sum type" are used. It is noted that in order to evaluate the efficiency and select the optimal structure of a computational analog-to-di

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Lee, Sanghoon, and Soochang Park. "Mobility-Assisted Digital Twin Network Optimization over Industrial Internet of Things." Applied Sciences 14, no. 19 (2024): 9090. http://dx.doi.org/10.3390/app14199090.

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Many real-world networks for the Industrial Internet of Things (IIoT) have diverse connectivity characteristics and real-time constraints imposed by industrial processing. In the context of digital twin networks (DTNs), a large number of IIoT devices may access the network and have a tremendous volume of data. A crucial element of these IIoT devices is mobility, which cannot be effectively solved because the number of IIoT devices connected is extremely large. IIoT devices in DTNs suffer from poor data transmission and link quality because of their mobility. In this paper, device-to-device (D2

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Chai, Yahui, Arianna Crippa, Karl Jansen, et al. "Fermionic wave packet scattering: a quantum computing approach." Quantum 9 (February 19, 2025): 1638. https://doi.org/10.22331/q-2025-02-19-1638.

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Quantum computing provides a novel avenue towards simulating dynamical phenomena, and, in particular, scattering processes relevant for exploring the structure of matter. However, preparing and evolving particle wave packets on a quantum device is a nontrivial task. In this work, we propose a method to prepare Gaussian wave packets with momentum on top of the interacting ground state of a fermionic Hamiltonian. Using Givens rotation, we show how to efficiently obtain expectation values of observables throughout the evolution of the wave packets on digital quantum computers. We demonstrate our

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Adhithya, M. "An Enhanced Strong ARM Comparator Circuit for Analog to Digital Converter Architectures." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1364–68. http://dx.doi.org/10.22214/ijraset.2024.59057.

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Abstract: Technological innovations in the current century period have motivated professionals to make electronic gadgets smarter. These advancements are progressing at a brisk pace, facilitating faster changes and increase in computing power. Various technologies such as virtual reality, augmented reality, mobile internet, artificial intelligence, cloud computing, biometric devices, 3D printing machines, genomics, quantum computing, block-chain, industrial automation and robotics. In all these technologies, communications with nearby devices play a major role in its effective functioning. The

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Hettiachchi, Danula, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, and Jorge Goncalves. "How Context Influences Cross-Device Task Acceptance in Crowd Work." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 (October 1, 2020): 53–62. http://dx.doi.org/10.1609/hcomp.v8i1.7463.

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Although crowd work is typically completed through desktop or laptop computers by workers at their home, literature has shown that crowdsourcing is feasible through a wide array of computing devices, including smartphones and digital voice assistants. An integrated crowdsourcing platform that operates across multiple devices could provide greater flexibility to workers, but there is little understanding of crowd workers’ perceptions on uptaking crowd tasks across multiple contexts through such devices. Using a crowdsourcing survey task, we investigate workers’ willingness to accept different t

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Lukac, Martin, Michitaka Kameyama, Marek Perkowski, and Pawel Kerntopf. "Using homing, synchronizing and distinguishing input sequences for the analysis of reversible finite state machines." Facta universitatis - series: Electronics and Energetics 32, no. 3 (2019): 417–38. http://dx.doi.org/10.2298/fuee1903417l.

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A digital device is called reversible if it realizes a reversible mapping, i.e., the one for which there exist a unique inverse. The ?eld of reversible computing is devoted to studying all aspects of using and designing reversible devices. During last 15 years this ?eld has been developing very intensively due to its applications in quantum computing, nanotechnology and reducing power consumption of digital devices. We present an analysis of the Reversible Finite State Machines (RFSM) with respect to three well known sequences used in the testability analysis of the classical Finite State Mach

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Zhang, Peng, Ran An, Kangjie Shao, and Zhuoqun Zhang. "An Edge-Computing-Based Structural Health Monitoring System and Applications." Journal of Physics: Conference Series 3004, no. 1 (2025): 012015. https://doi.org/10.1088/1742-6596/3004/1/012015.

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Abstract In previous structural health monitoring, transmitting monitoring data to a centralized server for analysis resulted in higher computational costs and lower efficiency. This paper aims to relocate part of the data processing tasks from the centralized computer/Server to an edge computing device. This SHM system based on edge computing consists of three parts: hardware device, data analysis and application program. In the hardware device part, sensors paired with DAQ device convert structural response data into digital signals and transmit them to Raspberry Pi for further explanation.

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Vozna, N., A. Davletova, Ya Nykolaychuk, and V. Gryga. "Improvement of multi-digital multiplicating devices structures in different theoretical and numerical bases." Computer systems and network 3, no. 1 (2021): 7–19. http://dx.doi.org/10.23939/csn2021.01.007.

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The article proposes methods for improving the structures of multi-bit multipliers, which are characterized by increased speed, reduced structural complexity of the device and reduced structural complexity of inputs and outputs depending on the bit multipliers (512-2048 bits), respectively (1024- 4096) times, compared with known multipliers based on classic single-digit full adders. Optimization of structures of multi-bit multipliers is offered. Comparative estimates of structural, functional and relative functional and structural complexities of their circuit implementations are given. The us

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Karataev, S. S., and A. I. Borisov. "Modern structure and innovative efficiency of special equipment for analyzing semiconductor devices." Journal of Physics: Conference Series 2373, no. 7 (2022): 072036. http://dx.doi.org/10.1088/1742-6596/2373/7/072036.

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Abstract The multimeter is a sophisticated electronic measuring device that combines several functions: voltmeter, ammeter and ohmmeter. It measures DC and AC voltage, DC and AC current, resistance, capacitance, frequency, transistor gain, diode checks and wire-check connections. The multimeter also features automatic polarity reversal. Digital multimeters range from 2.5 digits (simple devices) to 3.5 digits (most devices). Slightly more expensive instruments with 4.5, 5 and higher digits are also available. The digit capacity “3.5”, for example, means that the display of the device shows 3 fu

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Wong, H. S. Philip. "(Digital Presentation) Low Dimensional Channel Materials for Logic Transistors." ECS Meeting Abstracts MA2022-02, no. 32 (2022): 1182. http://dx.doi.org/10.1149/ma2022-02321182mtgabs.

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A key technology future direction is CMOS + X, where X can be memory, photonics, spintronics, power electronics, nanomechanics, sensors and actuators, RF/mm-wave, and even quantum computing. Nanosystems of 3D integrated “X” technology (N3XT) is a key concept at the chip level. We must also go beyond a single chip from a wafer and focus on integrating chips into systems using MOSAIC (MOnolithic Stacked Assembled IC). I will give an overview of the new materials and device technologies that may need to be developed to realize this vision. In particular, low-dimensional materials are suitable for

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Amdam, Synnøve H., Ilka Nagel, Morten B. Njå, and Sanna Forsström. "Self-Control or Crime Control: Teachers’ Insights on Good Practices in 1:1 Classrooms and Implications for Professional Development." Education Sciences 14, no. 11 (2024): 1267. http://dx.doi.org/10.3390/educsci14111267.

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Norway ranks high in digitalization in schools, with over 90% of students in grades 1–10 having their own digital device supplied by their school districts and reporting the highest use of digital tools globally in the latest PISA report. However, research shows that implementation processes and competence measures for teachers’ professional use of digital devices vary considerably between schools. This study aims to inform the development of research-practice partnership (RPP) measures focused on professional digital competence development in digitalizing schools internationally by exploring

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Bezmen, P. A. "Integration of Mobile Robot Control System Data Using the Extended Kalman Filter." Proceedings of the Southwest State University 23, no. 2 (2019): 53–64. http://dx.doi.org/10.21869/2223-1560-2019-23-2-53-64.

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Purpose of research. The article deals with the adaptation of the algorithm of the extended Kalman filter for the integration of data from sensors of physical values of a mobile robotMethods. Integration of data is the process of information (data) fusion for determination or prediction of the state of an object. Integration provides increased robustness of robot control and accuracy of machine perception of information. This process is similar to repeated experiments in order to determine in direct and/or indirect ways the value of a physical quantity with the required accuracy. In the contro

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Le Gallo, Manuel, S. R. Nandakumar, Lazar Ciric, et al. "Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars." Neuromorphic Computing and Engineering 2, no. 1 (2022): 014009. http://dx.doi.org/10.1088/2634-4386/ac4fb7.

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Abstract In-memory computing is a promising non-von Neumann approach to perform certain computational tasks efficiently within memory devices by exploiting their physical attributes. However, the computational accuracy achieved with this approach has been rather low, owing to significant inter-device variability and inhomogeneity across an array as well as intra-device variability and randomness from the analog memory devices. Bit slicing, a technique for constructing a high precision processor from several modules of lower precision, is a promising approach for overcoming this accuracy limita

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Riquelme, Juan, and Ioannis Vourkas. "A Star Network of Bipolar Memristive Devices Enables Sensing and Temporal Computing." Sensors 24, no. 2 (2024): 512. http://dx.doi.org/10.3390/s24020512.

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Temporal (race) computing schemes rely on temporal memories, where information is represented with the timing of signal edges. Standard digital circuit techniques can be used to capture the relative timing characteristics of signal edges. However, the properties of emerging device technologies could be particularly exploited for more efficient circuit implementations. Specifically, the collective dynamics of networks of memristive devices could be leveraged to facilitate time-domain computations in emerging memristive memories. To this end, this work studies the star interconnect configuration

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Wang, Lu, Yuting Wang, Wenhao Li, Zhiqiang Gao, Yutong Han, and Dianzhong Wen. "Physically Transient Gelatin-Based Memristors of Buildable Logic Gates." Gels 11, no. 6 (2025): 428. https://doi.org/10.3390/gels11060428.

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Moore’s Law is being challenged, as the use of transistors has limitations in terms of physical materials, energy consumption, performance, and economics. To continue Moore’s Law, people have put forward many ideas, one of which is to find smaller devices to replace CMOS transistors. Memristor-based digital logic circuits open new avenues for exploring advanced computing architectures. In this paper, a biomemristor with the structure of Al/gelatin:Au NPs/Al/gelatin was fabricated using gelatin as the substrate and the host material of the dielectric layer. The device has a large switching curr

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Riadidana, Richard, and Yustinus Eko Soelistio. "Is It Worth It? Perbandingan Pencatatan Inventori Pembukuan Manual dan Pembukuan Digital." Jurnal ULTIMA InfoSys 5, no. 2 (2014): 61–64. http://dx.doi.org/10.31937/si.v5i2.266.

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Green Computing is a computational resources that maximize energy efficiency and prolong the use of a device that is used , minimizing the use of paper or a book , and the electrical energy that is used every day . This paper explore the possibility to compare the cost and searching speed using Green Computing definition approach in an inventory system between using human labor, Microsoft Excel, and Inflow Inventory application. The comparison includes the data rate cost from local electricity company (PLN) and 450 samples of data. The result shows that the larger cost is incurred by using app

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Suniantara, I. Gusti Ngurah Gede Agung, Linawati Linawati, and Ida Bagus Gede Manuaba. "Perbandingan Face Recognition dan QR Code Dalam Sistem Absensi Menggunakan Geolocation Berbasis Mobile." Majalah Ilmiah Teknologi Elektro 21, no. 1 (2022): 77. http://dx.doi.org/10.24843/mite.2022.v21i01.p11.

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Abstract— The development of increasingly sophisticated technology makes mobile devices become main alternative in managing life's affairs. Mobile device that offers services and computing is a smartphone. The sophistication of smartphone technology can be used to process attendance. Attendance system is a system that can record presence of each user, attendance system can be processed using several types of attendance including conventional attendance using a signature and digital attendance using Face Recognition and QR code. Processing attendance system, the geolocation feature can be used

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H Hasan, Mohammad, Ali Al-Ramini, Eihab Abdel-Rahman, Roozbeh Jafari, and Fadi Alsaleem. "Colocalized Sensing and Intelligent Computing in Micro-Sensors." Sensors 20, no. 21 (2020): 6346. http://dx.doi.org/10.3390/s20216346.

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This work presents an approach to delay-based reservoir computing (RC) at the sensor level without input modulation. It employs a time-multiplexed bias to maintain transience while utilizing either an electrical signal or an environmental signal (such as acceleration) as an unmodulated input signal. The proposed approach enables RC carried out by sufficiently nonlinear sensory elements, as we demonstrate using a single electrostatically actuated microelectromechanical system (MEMS) device. The MEMS sensor can perform colocalized sensing and computing with fewer electronics than traditional RC

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