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Robot Operating System (ROS) for Absolute Beginners : Robotics Programming Made Easy
Learn how to get started with robotics programming using Robot Operation System (ROS). Targeted for absolute beginners in ROS, Linux, and Python, this short guide shows you how to build your own robotics projects. ROS is an open-source and flexible framework for writing robotics software. With a hands-on approach and sample projects, Robot Operating System for Absolute Beginners will enable you to begin your first robot project. You will learn the basic concepts of working with ROS and begin coding with ROS APIs in both C++ and Python.
Book
Samsung ARTIK Reference
Provides a professional-level reference to the Samsung ARTIK API, as well as to other aspects of interest to developers such as the file systems, the operating system internals, various available interfaces, input/output, and the hardware itself. This is the perfect book for experienced programmers and developers who want to jump in and work with Samsung's new ARTIK product line to create Internet of Things devices and applications. It is also a perfect follow-up resource for new-to-the-field developers who are just getting past the beginning stages of learning the ARTIK. Samsung ARTIK Reference begins with a concise overview of the hardware and the various developer reference boards that are available. Attention then shifts to operating system internals, modes such as sleep and startup, and the various file systems and their parameters that are available for developers to adjust. Also included is a reference of API calls, guidance on input and output, documentation of serial, audio, graphic, and other interfaces. There is extensive reference to online resources with annotation and commentary guiding the learning process in many directions for further study.What You Will LearnInstall the ARTIK toolkit and prepare to developManipulate the inner workings of the ARTIK operating system Look up and refer to details of the ARTIK API specificationPerform input and output over the peripheral interface busesBuild embeddable applications in support of IoT devicesEmbed the ARTIK modules into your own hardware productsWho This Book Is ForSamsung ARTIK Reference is for experienced developers wanting to understand and begin working with ARTIK. The book is especially of interest to those wishing to interact with ARTIK modules from within their own applications and web services.
eBook
Building a Virtual Assistant for Raspberry Pi
Build a voice-controlled virtual assistant using speech-to-text engines, text-to-speech engines, and conversation modules.This book shows you how to program the virtual assistant to gather data from the internet (weather data, data from Wikipedia, data mining); play music; and take notes.
eBook
Magnetothermal nanoparticle technology alleviates parkinsonian-like symptoms in mice
Deep brain stimulation (DBS) has long been used to alleviate symptoms in patients suffering from psychiatric and neurological disorders through stereotactically implanted electrodes that deliver current to subcortical structures via wired pacemakers. The application of DBS to modulate neural circuits is, however, hampered by its mechanical invasiveness and the use of chronically implanted leads, which poses a risk for hardware failure, hemorrhage, and infection. Here, we demonstrate that a wireless magnetothermal approach to DBS (mDBS) can provide similar therapeutic benefits in two mouse models of Parkinson’s disease, the bilateral 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and in the unilateral 6-hydroxydopamine (6-OHDA) model. We show magnetothermal neuromodulation in untethered moving mice through the activation of the heat-sensitive capsaicin receptor (transient receptor potential cation channel subfamily V member 1, TRPV1) by synthetic magnetic nanoparticles. When exposed to an alternating magnetic field, the nanoparticles dissipate heat, which triggers reversible firing of TRPV1-expressing neurons. We found that mDBS in the subthalamic nucleus (STN) enables remote modulation of motor behavior in healthy mice. Moreover, mDBS of the STN reversed the motor deficits in a mild and severe parkinsonian model. Consequently, this approach is able to activate deep-brain circuits without the need for permanently implanted hardware and connectors.
Deep-brain stimulation ameliorates parkinsonian symptoms, but it usually requires permanent implantation of hardware and connectors. Here, the authors show magnetothermal neuromodulation through the activation of TRPV1 can improve locomotor deficits in mouse models of Parkinson’s disease.
Journal Article
The Impact of Arbitrage Between Stock Markets With and Without Maker–Taker Fees Using an Agent-Based Simulation
An increasing number of exchanges, mainly in the U.S., have adopted a commission structure called maker–taker fees in which traders placing limit orders (makers) are paid a rebate (negative trading commission) and traders placing market orders (takers) are charged a trading fee. The reason is that by paying rebates to makers, exchanges can expect to receive a large number of maker’s orders and gain market share. Makers include arbitrageurs who make large transactions. Maker–taker fees constitute one of the most important commission structures for exchanges, because they are expected to attract arbitrageurs who are looking for rebate profits, on top of their trading profits. There have been many studies about arbitrage trading, but none we could find focused on the impact of arbitrage trading between markets with maker–taker fees where arbitrage traders place limit orders and markets without maker–taker fees where they place market orders. In this study, we investigated volatility and market liquidity by changing the amount of rebate under our proposed artificial markets, where there are or are not maker–taker fees. Then we checked the performance of arbitrage trading when the rebate increased. The results were that volatility in the market with maker–taker fees decreased and that in the market without maker–taker fees increased, and that market liquidity and arbitrage performance both increased in the market with maker–taker fees when rebates increased. The above results indicate that exchanges that operate markets adopting maker–taker fees can provide investors with more attractive markets than those that do not adopt them. However, if more arbitrageurs participate in the market with maker–taker fees to take advantage of these rebates, the cost burden on exchanges may increase unnecessarily.
Journal Article
A low power frequency-programmable stimulation circuit for small rodent pacemaker
This article presents the design of an integrated, frequency-programmable stimulation circuit dedicated to small rodents for the study of pulmonary arterial hypertension. A complete architecture of the stimulation circuit is proposed, based on in vivo tests that have led to the stimulation waveform specification. The circuit is designed using XFAB 0.18 µm technology. The adopted design methodology allows to reduce the power consumption of command blocks to the minimum. Post-layout simulation results shows that the pacing rate can be tuned from 450 to 600 beats per minute (bpm). The total power consumption of the stimulation circuit is 196.1 µW, with 186 µW directly consumed by the voltage multipliers, H-Bridge and pacemaker load, 10.1 µW by the kilohertz-range VCO driver, and only 8.4 nW by the ultra-low power command generator.
Journal Article
Design of High-Performance ECG Detector for Implantable Cardiac Pacemaker Systems using Biorthogonal Wavelet Transform
A digital electrocardiogram (ECG) detector with low power consumption and high performance based on biorthogonal 2.2 wavelet transform and applicable for the modern implantable cardiac pacemakers is proposed in the present work. Biorthogonal 2.2 wavelet transform is chosen due to its high SNR, less number of coefficients, resemblance of shape with ECG wave and ability to increase QRS complex detection performance. Architecture of the proposed ECG detector includes modified biorthogonal 2.2 wavelet filter bank and a modified soft threshold-based QRS complex detector. Three low-pass filters and one high-pass filter with pipelined architecture are used which are lesser than the earlier designed detectors. Various blocks of proposed detector are designed to denoise the input ECG signal and then to find the correct location of R-wave. Verilog hardware description language for design entry, Modelsim embedded in Xilinx ISE v.14.1 for simulation, Virtex-6 FPGAs for synthesis and Xilinx ISE tools are used to measure the performance, area and power of the proposed ECG detector and its constituent blocks. A low detection error rate of 0.13%, positive predictivity (P+) of 99.94% and sensitivity (Se) of 99.92% are achieved for the proposed ECG detector which are better compared to the previous results. Also, it consumes only 20 mW of total power at 50 KHz and shows the overall delay of 18.924 ns which makes it useful for the low power and high-performance applications.
Journal Article
“3 M” Performability Creative Practical Platform Application Research
The teaching effectiveness of China’s university design theory course has not undergone any major reforms in recent years to keep pace with new technology, modern teaching methodologies or student expectations. This is mainly due to the traditional approach of emphasizing practice rather than design theory and is inherent in design education in China, a view supported by design major students. The key to solve this problem is to effectively match and link the design theory course with universal practice in the world today. Therefore, endogenous, autonomous, targeted and unique design theory course practice resources and platforms are extremely important. This paper empirically takes the design theory course of “Advertising Copywriting” as the case study and introduces Micro-lecture. This is advocated by China’s Ministry of Education to achieve accurate imparting of core knowledge points of the design theoretical contents. At the same time, it combines five new stratified progressive multiple teaching approaches namely: meta-cognitive, self-inspiration, research-discussion, flipped classroom and scholarly exploration to effectively improve the course teaching form and enrich classroom activities. In addition, this paper recommends the implementation of the “Maker” practice including real time projects as well as training Maker ideology. “3M Model: Multiple innovative pedagogies, Micro-lecture and Maker practice” performability creative practical platform application is aimed to fundamentally improve teaching quality management performability and change the less effective present teaching situation of the design theory course with a comprehensive reform of the situational, pluralistic and practical course teaching content, form and structure. It provides a reference for the comprehensive promotion of teaching reform with a detailed case analysis and demonstration.
Journal Article
How Open Is the Maker Movement? Integrative Literature Review of the Openness Practices in the Global Maker Movement
This article explores the multiple meanings of the concept of openness in the global maker movement. Openness is viewed as one of the key principles of the maker movement. As the global maker movement is a bricolage of diverse and situated practices and traditions, there are also many different interpretations and ways of practicing openness. We have explored this diversity with an integrative literature review, relying on the Web of Science™ database. We identified three interrelated but also, in part, mutually contested approaches to openness. Firstly, openness often refers to applying open hardware. Secondly, it is in many cases related to the inclusion and empowerment of various groups in making. Thirdly, openness appears to be seen as a means to pursue economic growth through increasing innovation activity and entrepreneurship. Our results also highlight the substantial barriers encountered by makers while aiming to open up their practices. These barriers include: value conflicts in which openness is overridden by other important values; exclusion of lower income groups from making due to a lack of resources; and difficulties in maintaining long-term activities. The different meanings of openness together with the barriers create tensions within the maker movement while implementing openness. We propose that engaging in a reflexive futures dialogue on the consequences of these tensions can enhance the maker movement to become more open, inclusive and resilient.
Journal Article
Performance vs. hardware requirements in state-of-the-art automatic speech recognition
The last decade brought significant advances in automatic speech recognition (ASR) thanks to the evolution of deep learning methods. ASR systems evolved from pipeline-based systems, that modeled hand-crafted speech features with probabilistic frameworks and generated phone posteriors, to end-to-end (E2E) systems, that translate the raw waveform directly into words using one deep neural network (DNN). The transcription accuracy greatly increased, leading to ASR technology being integrated into many commercial applications. However, few of the existing ASR technologies are suitable for integration in embedded applications, due to their hard constrains related to computing power and memory usage. This overview paper serves as a guided tour through the recent literature on speech recognition and compares the most popular ASR implementations. The comparison emphasizes the trade-off between ASR performance and hardware requirements, to further serve decision makers in choosing the system which fits best their embedded application. To the best of our knowledge, this is the first study to provide this kind of trade-off analysis for state-of-the-art ASR systems.
Journal Article