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20th European conference on Computer systems-EuroSys

作者： Meng, Ke He, Tao Shen, Sijie Wang, Lei Yu, Wenyuan Zhou, Jingren Alibaba Grp Hangzhou Peoples R China

ISBN: (纸本)9798400711961

Python stands as the preferred language for data science, thanks to its user-friendly syntax and a robust ecosystem that effortlessly accommodates a variety of data types and workloads, such as relational/tabular data, tensors, and graphs. While Python thrives in smaller data settings, it struggles to scale in distributed big data environments. MOKO is an IR-based execution framework designed to extend Python's reach into the distributed big data domain by generating code that can utilize existing systems such as Spark, Dask, Torch, and GRAPE. MOKO preserves Python's key features-interoperability, ease of use, and support for multi-model data types and workloads-while enabling efficient execution in a distributed setting. Our evaluation indicates that MOKO can accelerate Python applications by up to 11x across diverse systems, diminish data alignment overhead by 28x, and outperform hand-optimized solutions by 2.5x.

关键词： big-data Python scheduling

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Dual-loop adaptive optical system for compensation of the low- and high-order wavefront aberrations 27

Dual-loop adaptive optical system for compensation of the lo...

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conference on Novel Optical systems, Methods, and applications xxVII

作者： Toporovsky, Vladimir Galaktionov, Ilya Nikitin, Alexander Samarkin, Vadim Kuzmitsky, Pavel Kudryashov, Alexis RAS Sadovsky Inst Geosphere Dynam Moscow Russia

ISBN: (纸本)9781510679207;9781510679214

This paper presents consecutive correction of the low- and high-order wavefront aberrations. To compensate for large-scale phase distortions bimorph deformable mirror was used with aperture 50 mm and 28 electrodes. The mitigation of the small-scale distortions was performed with 78-mm and 55 actuators wavefront corrector of the piezostack type. To investigate behavior of the laser beam two Shack-Hartmann wavefront sensors and far-field camera were used.

关键词： woofer-tweeter adaptive optical system piezoelectric deformable mirrors laser beam control Shack-Hartmann wavefront sensor

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Digital Entomology sensor for advanced Biodiversity Monitoring and Precision Agriculture 2nd

Digital Entomology Sensor for Advanced Biodiversity Monitori...

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2nd International conference on Agriculture-Centric Computation

作者： Kaur, Milanpreet Kumar, Suman Indian Inst Technol Bara Phool India

ISBN: (纸本)9783031744396;9783031744402

Insects comprise the majority of species on earth, but their population is facing a rapid decline. Many studies have highlighted the impact of excessive use of fertilizers and the effect of continuous change in farm practices on pollinator's biodiversity. To preserve their biodiversity, 24x7 monitoring of flying insects on farmland is essential. Manual observation-based traditional monitoring techniques are ineffective, time-consuming and not applicable for real-time field monitoring. To overcome these limitations, an idea is to develop a network of digital sensors on farmland for effective monitoring of biodiversity. This paper proposes the development of a Digital Entomology (DE) sensor for biodiversity surveillance at a large scale. The sensor monitors the real-time movement of airborne insects along with environmental data and processes it on the cloud for subsequent analysis. The proposed DE sensor is a solar-powered and IoT-enabled processor device suitable for deployment at remote locations. The local management of the sensor is facilitated through the Device Manager Portal (DMP) for accessing device configurations and enabling data downloads via a local Wi-Fi hotspot. The inclusion of over-the-air updates (OTA) capability enables the management and updates of sensors from a location that can be far away from where it is deployed. The proposed DE precisely detects the pollinator's movement with a high accuracy during testing in farmlands which makes it superior to other existing systems available in the market.

关键词： Digital Entomologist sensor OTA sensor biodiversity

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Situation Awareness within Maritime applications

Situation Awareness within Maritime Applications

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OCEANS conference

作者： Hamren, Rasmus Baumgart, Stephan Curuklu, Baran Ekstrom, Mikael Malardalen Univ Sch Innovat Design & Engn Vasteras Sweden Nord Engn Partner Norrtalje Sweden Epiroc Orebro Sweden

ISBN: (纸本)9798350362077

The advent of powerful control units and the widespread availability of cheap computers have significantly increased the role of artificial intelligence (AI) in various sectors. In the field of maritime applications, this progress has led to the emergence of Edge AI as an important technology. This research focuses on the application of Edge AI to maritime vessels, addressing key aspects of maritime operations. Using Edge AI, we aim to improve the situation awareness and operational efficiency of marine vessels. This study explores Edge AI integration into marine environments and emphasizes its potential to improve on-board safety, navigation and decision-making processes. Our approach shows how smart units decentralized in large central systems can lead to more efficient and adaptive maritime operations and paving the way for a new era of technologically advanced and environmentally conscious maritime practices.

关键词： Edge AI Environmental Sustainability sensor Fusion Wave Recognition Autonomous Vessel Operation Fuel Conservation Maritime Safety Real-time Data Processing

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advanced sensor systems and applications xIII

Advanced Sensor Systems and Applications XIII

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advanced sensor systems and applications xIII 2023

ISBN: (纸本)9781510667914

The proceedings contain 52 papers. The topics discussed include: research on a flexible optical tactile sensor based on a liquid lens structure;high-sensitivity refractive-index-distributed optical fiber sensor based on optical frequency domain reflectometry;fast-recovering phi-OTDR system based on multi-sideband pulse modulation;residual stress measurement of non-uniform materials based on distributed optical fiber ring array;distributed optical fiber sensor technology for bite force mapping;optical pH sensor based on fiber interferometer coated with intelligent hydrogel;and high sensitivity temperature and humidity sensing based on physically deformed long-period fiber grating.

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A high temperature sensor based on silicon core optical fiber Fabry-Perot cavity

A high temperature sensor based on silicon core optical fibe...

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2024 Asia Communications and Photonics conference, ACP 2024 and International conference on Information Photonics and Optical Communications, IPOC 2024

作者： Zhu, Lijun Chen, Na Shang, Yana Chen, Zhenyi Pang, Fufei Wang, Tingyun Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai University Shanghai China

ISBN: (纸本)9798350379266

The accurate measurement of temperature at high temperatures has been a challenge for temperature sensors. For solving this problem, a high temperature sensor based on silicon core optical fiber Fabry-Perot cavity is proposed and experimentally demonstrated. Due to the large thermo-optic coefficient and thermal expansion coefficient of silicon core, it improves the sensitivity of the high temperature sensor. The experimental results show that the sensor is able to operate stably over a temperature range of 100°C to 900°C with a high sensitivity of 113.9 pm/°C. The sensor is simple and low-cost to fabricate. It has potential applications in the aerospace field and metallurgical industry. © 2024 IEEE.

关键词： Fabry-Perot interferometers

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BEAM MODULATION AS AN INTENSITY FORCE sensor BASED ON PLASTIC OPTICAL FIBER 27

BEAM MODULATION AS AN INTENSITY FORCE SENSOR BASED ON PLASTI...

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conference on Novel Optical systems, Methods, and applications xxVII

作者： Guzman-Castro, Yeraldyn Murrieta-Loyde, Alfredo Lopez-Villagomez, Jose Manuel Trejo-Duran, Monica Rodriguez-Donate, Carlos Guiyev, Igor Mata-Chavez, Ruth Ivonne Univ Guanajuato Div Ingenierias Campus Irapuato Salamanca Dept Estudios Multidisciplinarios Sede Yurira Guanajuato Mexico

ISBN: (纸本)9781510679207;9781510679214

The use of plastic optical fibers as sensors represents advantages due to the malleability of the material and the number of modulations it allows, in addition, its a flexibility and low-cost material. Currently, optical couplers have also been developed in plastic fiber optics, due to their main use in telecommunications, and prices are increasingly affordable. In addition, the use of technologies in optics and photonics are more accepted in areas such as medicine, industry, beauty, sensors, and more. (1) In this work, a force sensor is achieved, based on beam modulation, made of a 2x2 (50:50) coupler of 1mm diameter plastic optical fiber (POF), with a 10 cm POF joined to the output to generate a loop. This section was polished in D, V and cylindrical shapes, at 30% and 50% polished depth, using a visible spectrum, in 632.8 nm of an He-Ne laser source. The spectral response is obtained in a force range of 0-500 N which is gradually applied to the fiber polished section. A linear sensitivity of force-beam modulation is obtained.

关键词： Modulation Phase only filters Polishing Polymer optical fibers sensors Industrial applications Plastics Spectral response Optical testing Industry

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Modelling and Analysis of a Sigfox-Based IoT Network Using UPPAAL SMC

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IEEE sensorS JOURNAL 2023年第10期23卷 10577-10587页

作者： Naeem, Muhammad Albano, Michele Larsen, Kim G. Nielsen, Brian Hoedholt, Anders Laursen, Christian O. Aalborg Univ Dept Comp Sci DK-9220 Aalborg Denmark MONTEM AS DK-8220 Aarhus Denmark

Wireless sensor nodes are usually powered by batteries that have limited energy capacity. In many applications, the nodes are installed in inaccessible locations where they are problematic to replace or recharge. Therefore, energy optimization is crucial for increasing the node's lifetime. This study presents a method for the analysis and prediction of the energy consumption of Sigfox-based wireless sensor nodes. The method is illustrated in a use case where the nodes monitor the water level in drainage lines in cities to improve surface and wastewater management. We propose a formal model-based technique using the UPPAAL statistical model checker tool to model and analyze the node's lifetime. Statistical model checking (SMC) provides a highly scalable technique for the performance analysis of complex cyber-physical systems. The model captures the energy-related behavior of the node, the Sigfox radio specification, and the sensor, each parameterized with values from the device's datasheets. Furthermore, we calibrate the model using measurements obtained from real-world hardware. Finally, we evaluate a collection of strategies to optimize the battery lifetime of the node. We simulate the model with a 10000-mAh battery, and the results indicate that we can extend the node's lifetime from 202 days to 2.71 years using our most optimized transmission strategy.

关键词： sensors Batteries Analytical models Protocols Automata Wireless sensor networks Model checking Battery lifetime design space exploration low-power wide-area network (LPWAN) optimized transmission strategies statistical model checking (SMC) wireless sensor nodes

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sensor Fusion for Non-Intrusive Adaptive Distancing of Visually Impaired Users 20

Sensor Fusion for Non-Intrusive Adaptive Distancing of Visua...

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20th International conference on Body sensor Networks

作者： Liu, Zheng xu, xueyicheng Mamishev, Maxwell Mamishev, Alexander V. Univ Washington Seattle WA 98195 USA Univ Illinois Champaign IL USA

ISBN: (纸本)9798331530143

There are over 300 million severely visually impaired people worldwide, and in their constant struggle for independence, there is a pressing need for advanced Electronic Travel Aid (ETA) products. The FireFly wearable ETA device presented here enhances mobility and safety for visually impaired individuals. The design fuses an 8x8 pixel Grid-EYE thermal imaging sensor to differentiate different objects based on their thermal signatures and a Time-of-Flight (ToF) LiDAR sensor for detecting distances. FireFly provides real-time feedback through acoustic, vibration, and light alerts, which vary in frequencies and amplitudes depending on the proximity and type of detected object. Its open architecture allows for easy integration into various wearable devices, ensuring application versatility. Experimental validation quantified the system's ability for object detection and human identification. Future improvements will focus on increasing system speed and thermal sensitivity and implementing machine learning algorithms for better object classification. FireFly aims to offer a reliable, low-power solution that promotes independence and safety for visually impaired individuals.

关键词： infrared sensor LiDAR sensor Wearable sensor Electronic Travel Aids I2C Arduino Obstacle Avoidance Object recognition Visually Impaired assistive Smart devices

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Fully integrated multi-mode optoelectronic memristor array for diversified in-sensor computing

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NATURE NANOTECHNOLOGY 2025年第1期20卷 1-11页

作者： Huang, Heyi Liang, xiangpeng Wang, Yuyan Tang, Jianshi Li, Yuankun Du, Yiwei Sun, Wen Zhang, Jianing Yao, Peng Mou, xing xu, Feng Zhang, Jinzhi Lu, Yuyao Liu, Zhengwu Wang, Jianlin Jiang, Zhixing Hu, Ruofei Wang, Ze Zhang, Qingtian Gao, Bin Bai, xuedong Fang, Lu Dai, Qionghai Yin, Huaxiang Qian, He Wu, Huaqiang Tsinghua Univ Beijing Innovat Ctr Integrated Circuits Sch Integrated Circuits Beijing Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China Chinese Acad Sci Integrated Circuit Adv Proc R&D Ctr Inst Microelect State Key Lab Fabricat Technol Integrated Circuits Beijing Peoples R China Chinese Acad Sci Inst Microelect Key Lab Fabricat Technol Integrated Circuits Beijing Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China Chinese Acad Sci Inst Phys Beijing Natl Lab Condensed Matter Phys Beijing Peoples R China

In-sensor computing, which integrates sensing, memory and processing functions, has shown substantial potential in artificial vision systems. However, large-scale monolithic integration of in-sensor computing based on emerging devices with complementary metal-oxide-semiconductor (CMOS) circuits remains challenging, lacking functional demonstrations at the hardware level. Here we report a fully integrated 1-kb array with 128 x 8 one-transistor one-optoelectronic memristor (OEM) cells and silicon CMOS circuits, which features configurable multi-mode functionality encompassing three different modes of electronic memristor, dynamic OEM and non-volatile OEM (NV-OEM). These modes are configured by modulating the charge density within the oxygen vacancies via synergistic optical and electrical operations, as confirmed by differential phase-contrast scanning transmission electron microscopy. Using this OEM system, three visual processing tasks are demonstrated: image sensory pre-processing with a recognition accuracy enhanced from 85.7% to 96.1% by the NV-OEM mode, more advanced object tracking with 96.1% accuracy using both dynamic OEM and NV-OEM modes and human motion recognition with a fully OEM-based in-sensor reservoir computing system achieving 91.2% accuracy. A system-level benchmark further shows that it consumes over 20 times less energy than graphics processing units. By monolithically integrating the multi-functional OEMs with Si CMOS, this work provides a cost-effective platform for diverse in-sensor computing applications. This study reports a fully integrated 128 x 8 optoelectronic memristor array with Si complementary metal-oxide-semiconductor circuits, featuring configurable multi-mode functionality. It demonstrates diversified in-sensor computing tasks and consumes 20 times less energy than GPUs.

关键词： CMOS integrated circuits

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