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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

共 5078 条记录，以下是4851-4860 订阅

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Degradation Modes of InGaN Blue-Violet Laser Diodes Grown on Bulk GaN Wafers

Degradation Modes of InGaN Blue-Violet Laser Diodes Grown on...

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2007 Pacific Rim conference on Lasers and Electro-Optics (CLEO/PACIFIC RIM 2007), vol.3

作者： Chong Cook Kim Yoonho Choi Min-Soo Noh LD Group LG Electronics Institute of Technology 16 Woomyeon-dong Seocho-gu Seoul 137-724 Korea

ISBN: (纸本)1424411742

We investigated the degradation modes in the aging processes of (Al, In)GaN laser diodes on bulk GaN substrates of the dislocation density less than 5×10{sup}6cm{sup}(-2). The estimated lifetime exceeds 2,000h under 160mW pulse-operation at 60℃. The lifetime-limiting degradation is attributed to nonradiative recombination related with the defects extended from GaN substrates.

关键词： Chemical vapor deposition Diode lasers Gallium nitride Indium gallium nitride optical data storage Semiconductor lasers

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Wireless NoC-A Revolutionary Alternative as Interconnection Fabric

Wireless NoC-A Revolutionary Alternative as Interconnection ...

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International conference for Convergence of technology (I2CT)

作者： Sayalee S. Bidwai Sandeep S. Bidwai Seema G. Mandrupkar Department of Electronics and Telecommunication Engg Annasaheb Dange College of Engineering and Technology Dist-Sangli M.S. India

The recent System-on-Chip (SoC) technology is capable of integrating large number of processor cores on a single chip. As technology advances, the Network-on-Chip (NoC) architectures are emerging as one of the most promising and developing platform for the integration of such multiple embedded cores on a single die. It has been always a challenge of constructing an interconnection fabric for connecting cores and other components with efficient transport of data in minimal time, high volume, and least energy. The traditional bus based architectures suffer from many problems as the scaling of CMOS technology goes below 90nm. Looking at all possible solution for meeting the current requirements of low-power and high-speed with continuous scaling, the on-chip wireless interconnection network is viewed as a revolutionary method. Wireless network is capable of drawing significant performance gains with its implementation on chip as interconnection fabric. In this paper, it is attempted to accumulate a brief review of different interconnect strategies advancing in different domains but a special emphasis is given on wireless interconnects in NoCs. The details of topologies, modulation techniques and the tools used for realizing the wireless network on chip are also cited here.

关键词： Integrated circuit interconnections Wireless communication optical interconnections System-on-chip Topology Network topology Modulation

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WASP: a self-contained upward looking echo sounder

WASP: a self-contained upward looking echo sounder

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OCEANS

作者： D.R. Topham P.H. Johnston Institute of Optical Research Sidney BC Canada

The increasing demands to monitor biological activity, in particular, fish stocks, has led to the development of a self-contained digital echo sounder capable of recording internally for extended periods of time. The current unit operates at 200 kHz with a 6/spl deg/ beam angle, and utilises a 200 Mb hard drive for data storage. Results are presented for a number of deployments requiring differing sampling strategies, ranging from a 9 month time series in the Beaufort Sea to two weeks in the Skeena River B.C.

关键词： Programmable logic arrays Oceans Sampling methods Instruments Read-write memory Marine animals Marine technology Computerized monitoring Energy consumption Digital recording

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Adaptive Anomaly Detection in Sensor data: A Comprehensive Approach

Adaptive Anomaly Detection in Sensor Data: A Comprehensive A...

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technology & Engineering Management conference - Asia Pacific (TEMSCON-ASPAC), IEEE

作者： Tanya Singh Snigdha Nigam Eshita Vijay Ridhima Rathore Snehal Bhosale Abhijeet Deogirikar Dept. of Electronics and Telecommunication Engineering Symbiosis Institute of Technology (SIT) Symbiosis International (Deemed University) (SIU) Lavale Pune Maharashtra India Coppercloud Pvt.Ltd. Pune Maharashtra India

ISBN: (数字)9798350384659

ISBN: (纸本)9798350384666

In the expansive realm of the Internet of Things (IoT), ensuring the reliability of sensor data, particularly in level sensing applications, is paramount. This research introduces a pioneering solution-a generalized anomaly detection algorithm rooted in supervised machine learning principles. Our algorithm, diverging from traditional rule-based systems, leverages labeled training data to dynamically adapt to unique patterns across diverse sensors. Live data, with a focus on level sensors, forms the cornerstone of our research, enhancing the algorithm’s learning capabilities for precise anomaly identification in various operational environments. Practically implementing our algorithm involves the systematic storage and management of sensor data in a MySQL database. This dual-purpose database supports both the algorithm’s training and testing phases and serves as a historical repository for continuous refinement, ensuring ongoing adaptability to changing sensor behaviors. Simultaneously, we introduce a user-friendly dashboard, empowering end-users with actionable insights derived from anomaly detection. This visualization tool provides a comprehensive overview of sensor data, anomaly occurrences, and system health, facilitating rapid decision-making and proactive intervention. Our research pioneers a breakthrough in anomaly detection for level sensor data with a generalized algorithm grounded in supervised machine learning. By leveraging live data, a robust MySQL database, and an intuitive dashboard, our approach stands at the forefront of AI-based anomaly detection, offering adaptability across sensors and applications. This research not only advances level sensing but also establishes a foundation for a more efficient paradigm in anomaly detection across diverse sensors and IoT devices.

关键词： Training Machine learning algorithms databases Heuristic algorithms Training data Machine learning Sensors

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Whistleblowers’ Protection with XRP Ledger

Whistleblowers’ Protection with XRP Ledger

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Blockchain Computing and Applications (BCCA), International conference on

作者： Pavel Pantiukhov Dmitrii Koriakov Antonio Ken Iannillo Radu State SEDAN Research Group Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg

ISBN: (数字)9798350351538

ISBN: (纸本)9798350351545

In the wake of the European Union’s directive 2019/1937, aimed at safeguarding whistleblowers reporting breaches of Union law, this paper proposes a novel solution leveraging blockchain technology, specifically the XRP Ledger (XRPL), to establish secure and anonymous communication channels. The proposed architecture integrates XRPL’s inherent features, including robust security protocols, anonymization mechanisms, and low transaction costs, to facilitate data integrity, confidentiality, and immutability. Through a comprehensive design encompassing web application integration, Xaman Wallet functionality, XRPL transaction execution, and secure storage management, the system provides a user-centric and regulatory-compliant platform for whistleblowers to submit reports securely. Furthermore, the paper discusses the proposed solution’s feasibility, scalability, security, privacy, and ethical implications, emphasizing its potential to reshape organizational governance, accountability frameworks, and societal trust. This research advances transparency, accountability, and integrity in organizational practices by addressing the imperative need for efficient whistleblower communication channels, fostering a culture of ethical conduct and social responsibility.

关键词： Ethics Privacy Protocols Scalability storage management Communication channels Blockchains Security Protection Information integrity

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Development of a data Model for an Innovative Analysis Method for Mechatronic Systems in the Field of Automotive Engineering

Development of a Data Model for an Innovative Analysis Metho...

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2015 International conference on advances in Software, Control and Mechanical Engineering (ICSCME’2015，Turkey)

作者： Patrick Dallinger Markus Ernst Jürgen Fabian Graz University of Technology Institute of Automotive Engineering

This paper deals with the application of classical analytical methods in the field of automotive engineering and subsequently the overview of its most important functions in a data model. The state of the art analysis methods are currently the Failure Mode and Effects Analysis(FMEA) and the Fault Tree Analysis(FTA). These methods were developed in part based on conventional approaches and are suitable for the analysis of mechanical products. However, the rules of safety and quality standards can only be met by combining different types of analyses which thereon results in significant redundancies and poor efficiency. Due to the increasing electrification of powertrains in the automotive industry, alternative drive mechanisms are needed for the realization of modern vehicle concepts. The development of a new type of analysis methodology is essential to meet the challenges regarding upcoming mechatronic systems and their technical specifications, complex relations regarding security and quality, the demand of OEMs and their suppliers, increasing component reliability, and the necessary failure risk reduction of subsystems. For the realization of such new and innovative analysis software, the data model of the conventional technology is developed and the incoming demand on storage resources evaluated both qualitatively and quantitatively.

关键词： Failure Mode and Effects Analysis FMEA Fault Tree Analysis FTA data Model Entity Relationship Model ERM Analysis Software Automotive Engineering Mechatronic Systems Quality and Safety Standards Failure Risk Reliability of Components ISO 26262

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How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging

How Low Can You Go? Reducing Frequency and Time Resolution i...

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European Signal Processing conference (EUSIPCO)

作者： Andres Ferraro Dmitry Bogdanov Xavier Serra Jay Ho Jeon Jason Yoon Music Technology Group Universitat Pompeu Fabra Barcelona Spain Kakao Corp Seoul Republic of Korea

ISBN: (数字)9789082797053

ISBN: (纸本)9781728150017

Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advances in deep learning. In particular, many state-of-the-art systems use Convolutional Neural Networks and operate on mel-spectrogram representations of the audio. In this paper, we compare commonly used mel-spectrogram representations and evaluate model performances that can be achieved by reducing the input size in terms of both lesser amount of frequency bands and larger frame rates. We use the MagnaTagaTune dataset for comprehensive performance comparisons and then compare selected configurations on the larger Million Song dataset. The results of this study can serve researchers and practitioners in their trade-off decision between accuracy of the models, data storage size and training and inference times.

关键词： Training Time-frequency analysis Memory Computer architecture Tagging data models Task analysis

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Evaluating the Performance of Hybrid Ultra Capacitor (HUC) based Hybrid Energy storage System (HESS) for Electrical Forklift application

Evaluating the Performance of Hybrid Ultra Capacitor (HUC) b...

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International conference on Electrical, Control and Instrumentation Engineering (ICECIE)

作者： Shyam Ravichandran T Bhavani Shanker V Vaidhyanathan A Sheik Mohamed Central Power Research Institute (CPRI)

ISBN: (纸本)9781665449670

Historically, mobility and fossil fuels are highly interlinked, however Electric Vehicles (EV) are gaining prominence in the last few decades because of global factors like Climatic change, advances in renewable energy, Rapid urbanization, GPS enabled data capture and analysis, Improvements in Battery chemistry, geopolitical issues in Energy security, etc. [1]. At present batteries are dominating the storage technology of electric vehicles, however due to the challenging power demands of the urban driving cycles, batteries face accelerated deterioration. To compensate for the loss, manufacturers tend to oversize the batteries at the expense of additional cost and weight. Researchers have observed that battery life can be increased significantly by smoothening the battery charging and discharging currents [2] . Hence Electric vehicle manufacturers worldwide have incorporated several variations of Hybrid Energy storage System (HESS) with combinations of conventional Internal Combustion Engine (ICE), Fuel cells, Batteries, Ultra Capacitors (UC), etc. intending to decouple the high power and high energy demands and assign them to separate sources. In this study, an electrical forklift that runs with the lead-acid battery as its Energy storage System (ESS) was considered. Hybrid Ultra Capacitor (HUC) banks were integrated with a lead-acid battery pack similar to that of the forklift and the performance of the HESS was studied for the forklift application. It was observed that HUC banks help in smoothening the battery current thereby helps in increasing the battery life.

关键词： Lead acid batteries Renewable energy sources Power demand Voltage fluctuations Instruments Capacitors Internal combustion engines

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Early Retinal Degeneration Detection with Deep Faster CNNs

Early Retinal Degeneration Detection with Deep Faster CNNs

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International conference on advances in Information technology (ICAIT)

作者： K. Priyadharshini Sindhusaranya Balraj JV Rama Kumar Deepak A. Vidhate Thilakavathy. P P. Vanathi Department of Computing Technologies School of Computing SRM Institute of Science and Technology Chennai India Department of Computer Science and Engineering Sona College of Technonolgy Salem India Computer Science and Engineering SRKR Engineering College Bhimavaram Andhra Pradesh Department of Information Technology Dr. Vithalrao Vikhe Patil College of Engineering Ahmednagar Maharashtra Computer science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai Department of Information Technology Adhiyamaan College of Engineering Hosur

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383874

The issue of retinogenesis probably constitutes a major public health threat which gives the reason to carry out its early detection for intervention purposes to be efficient. Throughout this investigation, we suggest a new technique which uses the faster CNNs for early detection of retina degradation. We set up a diverse data collection where OCT(optical coherence tomography), fundus photography and angiography modality were included. This collection covered the various stages of degeneration. The dataset was prepared for instance with resizing, normalizing, and data augmentation were used to improve share quality and diversity. Deeper and faster networks that were developed and trained using the backpropagation technique performed well and further optimized using Adam, with high accuracy of 94 in the test dataset. 7%. The strength of our results can be seen through evaluation metrics in detail like confusion matrices and classification reports. The model can distinguish various cases of retinal degeneration accurately which proves to have high precision and recall for mild and normal degeneration. Interpolation analysis of the model using Grad-CAM and occlusion sensitivity, giving the clue about the model's decision making process, setting a precedent for clinical interpretation. The enhanced cross-validated model on an independent dataset also arrays the model in a representational where it will be able to generalize in a diverse population and in different imaging conditions. The systematic approach which proved to be more accurate and resilient than the other techniques was the one which was compared to the mentioned ones. In conclusion, our study shows the possibility for application of the Deep Faster CNNs in identifying the early signs of retinal degeneration; the tool therefore becomes an important tool for enhancing patient outcomes and prevention of vision loss in the world at large.

关键词： Training Analytical models Technological innovation Accuracy Systematics Coherence Tomography Retina data models Diseases

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Wafer-scale microdevice transfer/interconnect: from a new integration method to its application in an afm-based data-storage system

Wafer-scale microdevice transfer/interconnect: from a new in...

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International conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： M. Despont U. Drechsler R. Yu H.B. Pogge P. Vettiger IBM Research Zurich Research Laboratory Ruschlikon Switzerland IBM Research Zurich Research Laboratory Switzerland IBM Microelectronics NY USA

We have developed a robust, CMOS back end of the line (BEOL) compatible, wafer-scale device transfer and interconnect method for batch fabricating system on chip (SOC) that are especially suitable for MEMS or VLSI-MEMS applications. We have applied this method to transfer arrays of 4096 freestanding cantilevers with good cantilever flatness control and high-density vertical electrical interconnects to the receiver wafer (typically CMOS). Such an array is used in a highly parallel scanning-probe-based data-storage system called the "Millipede". A very high integration density has been achieved even at wafer-scale transfer thanks to the interlocking nature of the interconnect structure, which provides easy alignment with an accuracy of 2 /spl mu/m. The typical integration density is 100 canti-levers/mm/sup 2/ and 300 electrical interconnects/mm/sup 2/. Note that only the cantilevers, not a chip with cantilevers, are transferred and, unlike flip-chip technology, our method preserves the device orientation which is crucial for MEMS applications, where often the MEMS device should have access to its environment (in our case, the cantilever tips are in contact with the storage media). After device transfer, the system is mechanically and electrically stable up to at least 500 /spl deg/C, allowing post-transfer wafer processing.

关键词： CMOS technology Integrated circuit interconnections Micromechanical devices Thermal stresses optical device fabrication Stacking Transducers Thermal expansion Wiring Multicore processing

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