Relevant bibliographies by topics / On-device Computation

Academic literature on the topic 'On-device Computation'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "On-device Computation"

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Rasyad, Muhammad Abdullah, Favian Dewanta, and Sri Astuti. "All-in-one computation vs computational-offloading approaches: a performance evaluation of object detection strategies on android mobile devices." JURNAL INFOTEL 13, no. 4 (December 9, 2021): 216–22. http://dx.doi.org/10.20895/infotel.v13i4.700.

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Object detection gives a computer ability to classify objects in an image or video. However, high specified devices are needed to get a good performance. To enable devices with low specifications performs better, one way is offloading the computation process from a device with a low specification to another device with better specifications. This paper investigates the performance of object detection strategies on all-in-one Android mobile phone computation versus Android mobile phone computation with computational offloading on Nvidia Jetson Nano. The experiment carries out the video surveillance from the Android mobile phone with two scenarios, all-in-one object detection computation in a single Android device and decoupled object detection computation between an Android device and an Nvidia Jetson Nano. Android applications send video input for object detection using RTSP/RTMP streaming protocol and received by Nvidia Jetson Nano which acts as an RTSP/RTMP server. Then, the output of object detection is sent back to the Android device for being displayed to the user. The results show that the android device Huawei Y7 Pro with an average FPS performance of 1.82 and an average computing speed of 552 ms significantly improves when working with the Nvidia Jetson Nano, the average FPS becomes ten and the average computing speed becomes 95 ms. It means decoupling object detection computation between an Android device and an Nvidia Jetson Nano using the system provided in this paper successfully improves the detection speed performance.
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HAMANN, HEIKO, and HEINZ WÖRN. "EMBODIED COMPUTATION." Parallel Processing Letters 17, no. 03 (September 2007): 287–98. http://dx.doi.org/10.1142/s0129626407003022.

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The traditional computational devices and models, such as the von Neumann architecture or the Turing machine, are strongly influenced by concepts of central control and perfection. The standard models of computation seem to cover the reality of computation only partially and lack, in particular, in the ability to describe more natural forms of computation. In this paper we propose the concept of embodied computation, a straight forward advancement of well known concepts such as amorphous computing, emergent phenomena and embodied cognitive science. Many embodied microscopic computational devices form a single macroscopic device of embodied computation. The solution to computational problems emerges from a huge amount of local interactions. The system's memory is the sum of the positional information and possibly of the internal states. Such systems are very robust and allow different methodologies to analyze computation. To back this theoretic concept some results based on simulations are given and potential benefits of this approach are discussed.
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Wang, Anran, Maruchi Kim, Hao Zhang, and Shyamnath Gollakota. "Hybrid Neural Networks for On-Device Directional Hearing." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11421–30. http://dx.doi.org/10.1609/aaai.v36i10.21394.

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On-device directional hearing requires audio source separation from a given direction while achieving stringent human-imperceptible latency requirements. While neural nets can achieve significantly better performance than traditional beamformers, all existing models fall short of supporting low-latency causal inference on computationally-constrained wearables. We present DeepBeam, a hybrid model that combines traditional beamformers with a custom lightweight neural net. The former reduces the computational burden of the latter and also improves its generalizability, while the latter is designed to further reduce the memory and computational overhead to enable real-time and low-latency operations. Our evaluation shows comparable performance to state-of-the-art causal inference models on synthetic data while achieving a 5x reduction of model size, 4x reduction of computation per second, 5x reduction in processing time and generalizing better to real hardware data. Further, our real-time hybrid model runs in 8 ms on mobile CPUs designed for low-power wearable devices and achieves an end-to-end latency of 17.5 ms.
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Reys, Barbara J. "Mental Computation." Arithmetic Teacher 32, no. 6 (February 1985): 43–46. http://dx.doi.org/10.5951/at.32.6.0043.

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The ability to compute mentally. that is. to calculate exact numerical answers without the aid of any calculating or recording device, varies tremendously among indi vidual s. A quick survey of any elementary or secondary school classroom will document that some students perform mental computation quickly and accurately, whereas others are greatly hampered on even simple arithmetic problems by the withdrawal of paper and pencil. Occasionally history reports a case of an individual who ha developed extraordinary kill in mental computation. These individuals have both fascinated us and made us curious about the development of such skill. One such example wa Zerah Colburn. Born in Vermont in 1804, the son of a farmer, by the age of eight he was touring America and England displaying his exceptional mental calculating ability. He was able to give instantly the product of any two four-digit numbers. Asked to raise 8 to the sixteenth power, he gave the correct answer of 281 474 976 710 656 in a few seconds without the aid of any recording device (Eves 1969).
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Nasucha, M., Yohandri, J. T. S. Sumantyo, K. Hattori, and H. Kuze. "Computation calibration on distance measurement in an ultrasonic remote sensing device." Journal of Physics: Conference Series 1185 (April 2019): 012023. http://dx.doi.org/10.1088/1742-6596/1185/1/012023.

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Spanu, Alina Rodica, Daniel Besnea, Octavian G. Donţu, and Mihai Avram. "Improvements on Positional Accuracy by Using Mechatronic Device." Applied Mechanics and Materials 332 (July 2013): 206–11. http://dx.doi.org/10.4028/www.scientific.net/amm.332.206.

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Nowadays, the best positional accuracy has become a greater demand, due to the various technical requirements of the mechatronic systems. The imposed position shoul be found easily and repeatedly. The paper presents a method for controlling the positioning of the robot actuated with electrical motors. After the theoretical position computation, the software for Arduino board should compare the signals sent by the accelerometer with the imposed critical theoretic values. The measuring method takes into account the inertia forces for higher accuracy. The speed variation law for the electric motors provides better positioning, following dynamic conditions.
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Beal, Jacob, and Mirko Viroli. "Space–time programming." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2046 (July 28, 2015): 20140220. http://dx.doi.org/10.1098/rsta.2014.0220.

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Computation increasingly takes place not on an individual device, but distributed throughout a material or environment, whether it be a silicon surface, a network of wireless devices, a collection of biological cells or a programmable material. Emerging programming models embrace this reality and provide abstractions inspired by physics, such as computational fields, that allow such systems to be programmed holistically, rather than in terms of individual devices. This paper aims to provide a unified approach for the investigation and engineering of computations programmed with the aid of space–time abstractions, by bringing together a number of recent results, as well as to identify critical open problems.
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Ghosh, K., Y. Naresh, and N. Srichakradhar Reddy. "A Theoretical Investigation on the Dimensions and Annealing Effects of InAs/GaAs Quantum Dots for Device Applications at High Bit-Rate Optical Transmission Window of 1.3-1.55 μm." Advanced Materials Research 584 (October 2012): 423–27. http://dx.doi.org/10.4028/www.scientific.net/amr.584.423.

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In this paper, we present theoretical model and computations for tuning the photoluminescence (PL) emission of InAs/GaAs quantum dots at 1.3 -1.55 μm by optimizing its height and base dimensions through quantum mechanical concepts. Simulation on the annealing induced compositional change in the QDs was carried out using Fick’s diffusion model. Results from our computation illustrated that lower base size of 10 nm and larger height QDs of 5.1 nm can be effectively utilized for extending the PL emission to longer wavelengths with minimal blue-shift on annealing. This highlights the potential of our model and computation to assist in precisely engineering the optical properties of QD materials for specific device applications.
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Mumolo, Enzo. "VHDL Design of a Scalable VLSI Sorting Device Based on Pipelined Computation." Journal of Computing and Information Technology 12, no. 1 (2004): 1. http://dx.doi.org/10.2498/cit.2004.01.01.

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Song, Chao, Jing Cui, H. Wang, J. Hao, H. Feng, and Ying Li. "Quantum computation with universal error mitigation on a superconducting quantum processor." Science Advances 5, no. 9 (September 2019): eaaw5686. http://dx.doi.org/10.1126/sciadv.aaw5686.

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Medium-scale quantum devices that integrate about hundreds of physical qubits are likely to be developed in the near future. However, these devices will lack the resources for realizing quantum fault tolerance. Therefore, the main challenge of exploring the advantage of quantum computation is to minimize the impact of device and control imperfections without complete logical encoding. Quantum error mitigation is a solution satisfying the requirement. Here, we demonstrate an error mitigation protocol based on gate set tomography and quasi-probability decomposition. One- and two-qubit circuits are tested on a superconducting device, and computation errors are successfully suppressed. Because this protocol is universal for digital quantum computers and algorithms computing expected values, our results suggest that error mitigation can be an essential component of near-future quantum computation.
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Dissertations / Theses on the topic "On-device Computation"

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Ringaby, Erik. "Optical Flow Computation on Compute Unified Device Architecture." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15426.

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There has been a rapid progress of the graphics processor the last years, much because of the demands from computer games on speed and image quality. Because of the graphics processor’s special architecture it is much faster at solving parallel problems than the normal processor. Due to its increasing programmability it is possible to use it for other tasks than it was originally designed for.

Even though graphics processors have been programmable for some time, it has been quite difficult to learn how to use them. CUDA enables the programmer to use C-code, with a few extensions, to program NVIDIA’s graphics processor and completely skip the traditional programming models. This thesis investigates if the graphics processor can be used for calculations without knowledge of how the hardware mechanisms work. An image processing algorithm calculating the optical flow has been implemented. The result shows that it is rather easy to implement programs using CUDA, but some knowledge of how the graphics processor works is required to achieve high performance.

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Zadra, Pacheco Mauricio [Verfasser], Bernd [Akademischer Betreuer] [Gutachter] Mayer, and Max Mauro Dias [Gutachter] Santos. "Development of Computational Analysis Criteria Based on Laser Sensor Device to Identify the Surface Status of Micro-structured Coatings for Aerospace Industry / Mauricio Zadra Pacheco ; Gutachter: Bernd Mayer, Max Mauro Dias Santos ; Betreuer: Bernd Mayer." Bremen : Staats- und Universitätsbibliothek Bremen, 2017. http://d-nb.info/1138338397/34.

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Fujdiak, Radek. "Analýza a optimalizace datové komunikace pro telemetrické systémy v energetice." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-358408.

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Telemetry system, Optimisation, Sensoric networks, Smart Grid, Internet of Things, Sensors, Information security, Cryptography, Cryptography algorithms, Cryptosystem, Confidentiality, Integrity, Authentication, Data freshness, Non-Repudiation.
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Hung, Wei-Shu, and 洪偉書. "OpenCL Computation Offloading Framework on Mobile Device." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/81137421633470479475.

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碩士
國立臺灣大學
資訊工程學研究所
102
Nowadays, mobile devices are suffering from limited computational resource. To increase capabilities of mobile devices, many efforts have been made to offload computation from mobile devices to resourceful servers. However, most of the approaches are only capable of offloading computation to CPUs. Recently, GPUs have received a lot of attention from the scientific community. Indeed, the exceptional parallel computing capabilities of GPUs can be used to accelerate different types of applications. In this thesis, we propose a computation offloading framework based on OpenCL – a standard for GPU computing. Our framework transparently offloads OpenCL workloads from mobile devices to an available OpenCL compatible device. We deployed our framework on real machines and conducted evaluation experiments using various OpenCL programs including basic matrix computations, an image processing Android app and benchmarks from AMD. The program achieves up to 50.3X speedup by remote offloading compared to the local execution using CPU.
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Books on the topic "On-device Computation"

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1949-, Bank Randolph E., American Mathematical Society, and Society for Industrial and Applied Mathematics., eds. Computational aspects of VLSI design with an emphasis on semiconductor device simulation. Providence, R.I: American Mathematical Society, 1990.

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Anderson, James A. Software. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0004.

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Digital computers are “protean” in that they can become almost anything through software. Their basic design elements came from a 19th-century British tradition in logic, exemplified by Boole and Babbage. It seemed natural to have logic realized in hardware. This tradition culminated in the work of Alan Turing who proposed a universal computing machine, now called a Turing machine, based on logic. Although hardware that computes logic functions lies at the core of digital hardware, low-level practical machine operations are grouped together in “words.” Programs are based on hardware operations controlling computation at the word level. This chapter presents a detailed example of what a computer does when it actually “computes.” Because human cognition finds it hard to use such an alien device, there is a brief discussion of how programming became “humanized” with the invention of software tools like assembly language and FORTRAN.
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Narlikar, A. V., and Y. Y. Fu, eds. Oxford Handbook of Nanoscience and Technology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533060.001.0001.

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This volume highlights engineering and related developments in the field of nanoscience and technology, with a focus on frontal application areas like silicon nanotechnologies, spintronics, quantum dots, carbon nanotubes, and protein-based devices as well as various biomolecular, clinical and medical applications. Topics include: the role of computational sciences in Si nanotechnologies and devices; few-electron quantum-dot spintronics; spintronics with metallic nanowires; Si/SiGe heterostructures in nanoelectronics; nanoionics and its device applications; and molecular electronics based on self-assembled monolayers. The volume also explores the self-assembly strategy of nanomanufacturing of hybrid devices; templated carbon nanotubes and the use of their cavities for nanomaterial synthesis; nanocatalysis; bifunctional nanomaterials for the imaging and treatment of cancer; protein-based nanodevices; bioconjugated quantum dots for tumor molecular imaging and profiling; modulation design of plasmonics for diagnostic and drug screening; theory of hydrogen storage in nanoscale materials; nanolithography using molecular films and processing; and laser applications in nanotechnology. The volume concludes with an analysis of the various risks that arise when using nanomaterials.
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Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretically exact matching feature are still relevant when creating information security systems such as network intrusion detection systems, antivirus, anti-spam, and wormcontainment systems. The real time multi-pattern string matching task has been a major performance bottleneck in such systems. To speed up the recognition process, developers use a reconfigurable hardware platform based on FPGA devices. Such platform provides almost software flexibility and near-ASIC performance. The most important component of a signature-based information security system in terms of efficiency is the recognition module, in which the multipattern matching task is directly solved. It must not only check each byte of input data at speeds of tens and hundreds of gigabits/sec against hundreds of thousand or even millions patterns of signature database, but also change its structure every time a new signature appears or the operating conditions of the protected system change. As a result of the analysis of numerous examples of the development of reconfigurable information security systems, three most promising approaches to the construction of hardware circuits of recognition modules were identified, namely, content-addressable memory based on digital comparators, Bloom filter and Aho–Corasick finite automata. A method for fast quantification of components of recognition module and the entire system was proposed. The method makes it possible to exclude resource-intensive procedures for synthesizing digital circuits on FPGAs when building complex reconfigurable information security systems and their components. To improve the efficiency of the systems under study, structural-level combinational methods are proposed, which allow combining into single recognition device several matching schemes built on different approaches and their modifications, in such a way that their advantages are enhanced and disadvantages are eliminated. In order to achieve the maximum efficiency of combining methods, optimization methods are used. The methods of: parallel combining, sequential cascading and vertical junction have been formulated and investigated. The principle of multi-level combining of combining methods is also considered and researched. Algorithms for the implementation of the proposed combining methods have been developed. Software has been created that allows to conduct experiments with the developed methods and tools. Quantitative estimates are obtained for increasing the efficiency of constructing recognition modules as a result of using combination methods. The issue of optimization of reconfigurable devices presented in hardware description languages is considered. A modification of the method of affine transformations, which allows parallelizing such cycles that cannot be optimized by other methods, was presented. In order to facilitate the practical application of the developed methods and tools, a web service using high-performance computer technologies of grid and cloud computing was considered. The proposed methods to increase efficiency of matching procedure can also be used to solve important problems in other fields of science as data mining, analysis of DNA molecules, etc. Keywords: information security, signature, multi-pattern matching, FPGA, structural combining, efficiency, optimization, hardware description language.
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UUelcome Matte©: Déltos from Link Starbureiy: an exercise of imagination, creativity, and wonder. online [weblog format]: The Link Egglepple Starbureiy Museum, 2010.

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Book chapters on the topic "On-device Computation"

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Cong, Chen. "Encrypt Hardware Device Based on Cryptographic Algorithm." In Intelligence Computation and Evolutionary Computation, 139–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31656-2_20.

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Li, Xiaobin, and Ping Zeng. "Device-to-Device Relay Selection Based on Comprehensive Social Attributes in Heterogeneous Wireless Networks." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 851–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_92.

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Schenk, Olaf, Klaus Gärtner, Bernhard Schmithüsen, and Wolfgang Fichtner. "Numerical Semiconductor Device and Process Simulation on Shared Memory Multiprocessors: Algorithms, Architectures, Results." In Parallel Numerical Computation with Applications, 141–57. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5205-5_10.

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Woodhead, Erik, Charles Ci Wen Lim, and Stefano Pironio. "Semi-device-independent QKD Based on BB84 and a CHSH-Type Estimation." In Theory of Quantum Computation, Communication, and Cryptography, 107–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35656-8_9.

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Liu, Ziwen, Liang Fang, Lihua Yin, Yunchuan Guo, and Fenghua Li. "Research on Similarity Record Detection of Device Status Information Based on Multiple Encoding Field." In Security, Privacy, and Anonymity in Computation, Communication, and Storage, 54–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72395-2_6.

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Disabato, Simone. "Deep and Wide Tiny Machine Learning." In Special Topics in Information Technology, 79–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_7.

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AbstractIn the last decades, on the one hand, Deep Learning (DL) has become state of the art in several domains, e.g., image classification, object detection, and natural language processing. On the other hand, pervasive technologies—Internet of Things (IoT) units, embedded systems, and Micro-Controller Units (MCUs)—ask for intelligent processing mechanisms as close as possible to data generation. Nevertheless, memory, computational, and energy requirements characterizing DL models are three or more orders of magnitude larger than the corresponding memory, computation, and energy capabilities of pervasive devices. This work aims at introducing a methodology to address this issue and enable pervasive intelligent processing. In particular, by defining Tiny Machine Learning (TML) solutions, i.e., machine and deep learning models that take into account the constraints on memory, computation, and energy of the target pervasive device. The proposed methodology addresses the problem at three different levels. In the first approach, the methodology devices inference-based Deep TML solutions by approximation techniques, i.e., the TML model runs on the pervasive device but was trained elsewhere. Then, the methodology introduces on-device learning for TML. Finally, the third approach develops Wide Deep TML solutions that split and distribute the DL processing over connected heterogeneous pervasive devices.
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Afonin, Andrey N., Rustam G. Asadullayev, Maria A. Sitnikova, and Anatoliy A. Shamrayev. "A Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS." In Advances in Neural Computation, Machine Learning, and Cognitive Research IV, 65–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60577-3_7.

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Vasyltsov, Ihor, and Wooseok Chang. "Lightweight Approximation of Softmax Layer for On-Device Inference." In Transactions on Computational Science and Computational Intelligence, 561–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_41.

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Vasyltsov, Ihor, and Wooseok Chang. "Lightweight Approximation of Softmax Layer for On-Device Inference." In Transactions on Computational Science and Computational Intelligence, 561–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_41.

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Preault, Celestin, Houssem Saafi, Med Amine Laribi, and Said Zeghloul. "4haptic: A Dexterous 4 d.o.fs Haptic Device Based on Delta Architecture." In Computational Kinematics, 307–14. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60867-9_35.

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Conference papers on the topic "On-device Computation"

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Mizukami, Yoshiki, and Katsumi Tadamura. "Optical Flow Computation on Compute Unified Device Architecture." In 14th International Conference on Image Analysis and Processing (ICIAP 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciap.2007.4362776.

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Austine, Amel, and R. Suji Pramila. "A Review on Recent Research Directions in Device to Device Communication." In 2018 3rd International Conference on Inventive Computation Technologies (ICICT). IEEE, 2018. http://dx.doi.org/10.1109/icict43934.2018.9034350.

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Zhiyuan Li and Rong Xu. "Energy impact of secure computation on a handheld device." In 2002 IEEE International Workshop on Workload Characterization. IEEE, 2002. http://dx.doi.org/10.1109/wwc.2002.1226499.

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Jain, Karishma, and Virendra V. Shete. "Single sign on using bluetooth device." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7830186.

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Zhao, Hao-feng, and Ling Wang. "On the computation of dielectric constants of composites." In 2008 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA). IEEE, 2008. http://dx.doi.org/10.1109/spawda.2008.4775811.

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Rodrigues, Guilherme A., and Luiz Lebensztajn. "Study on Transcutaneous Energy Transmission Device Optimal Design." In 2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG). IEEE, 2019. http://dx.doi.org/10.1109/compumag45669.2019.9032751.

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Yao-Hui, Wang, Shi Jian-Rong, and Bao Ke-Jin. "An Automatic Level Adjustment Device Based on STM32." In 2014 7th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2014. http://dx.doi.org/10.1109/icicta.2014.21.

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Ramachandiran, R., L. Dhanya, and M. Shalini. "A Survey on Women Safety Device Using IoT." In 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2019. http://dx.doi.org/10.1109/icscan.2019.8878817.

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Li, Pei, Elisabeth Brunet, and Raymond Namyst. "High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures." In 2013 IEEE International Conference on High Performance Computing and Communications (HPCC) & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2013. http://dx.doi.org/10.1109/hpcc.and.euc.2013.213.

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Chen, Yimin, Jian Qi, Xuming Zhang, and Mingyue Ding. "A Tube Length Measurement Device Based on Acoustic Method." In 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI). IEEE, 2011. http://dx.doi.org/10.1109/icbmi.2011.43.

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