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Compliant lightweight non-invasive standalone“Marine Skin”tagging system

npj Flexible Electronics 2018年第1期2卷 97-105页

作者： Joanna M.Nassar Sherjeel M.Khan Seneca J.Velling Andrea Diaz-Gaxiola Sohail F.Shaikh Nathan R.Geraldi Galo A.Torres Sevilla Carlos M.Duarte Muhammad M.Hussain mmh Labs Computer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Material&Nanoscience Program Faculty of ScienceUniversity of WaterlooWaterlooON N2L-3G1Canada Red Sea Research Center(RSRC) Biological and Environmental Sciences and Engineering(BESE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

Current marine research primarily depends on weighty and invasive sensory equipment and telemetric network to understand the marine environment,including the diverse fauna it contains,as a function of animal behavior and size,as well as equipment *** match animal morphology and activity within the surrounding marine environment,here we show a physically flexible and stretchable skin-like and waterproof autonomous multifunctional system,integrating Bluetooth,memory chip,and high performance physical *** sensory tag is mounted on a swimming crab(Portunus pelagicus)and is capable of continuous logging of depth,temperature,and salinity within the harsh ocean *** fully packaged,ultra-lightweight(<2.4 g in water),and compliant“Marine Skin”system does not have any wired connection enabling safe and weightless cuttingedge approach to monitor and assess marine life and the ecosystem’s health to support conservation and management of marine ecosystems.

关键词： Marine system Skin

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A micromirror array with annular partitioning for high-speed random-access axial focusing

arXiv

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arXiv 2020年

作者： Ersumo, Nathan Tessema Yalcin, Cem Antipa, Nick Pégard, Nicolas Waller, Laura Lopez, Daniel Muller, Rikky University of California Berkeley - University of California San Francisco Graduate Program in Bioengineering United States Departement of Electrical Engineering & Computer Sciences University of California BerkeleyCA94720 United States Department of Applied Physical Sciences University of North Carolina at Chapel Hill Chapel HillNC27514 United States Chan Zuckerberg Biohub San FranciscoCA94158 United States Physical Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States

Dynamic axial focusing functionality has recently seen widespread incorporation in microscopy, augmented/virtual reality (AR/VR), adaptive optics, and material processing. Yet the limitations of existing varifocal tools continue to beset the performance capabilities and operating overhead of the optical systems that mobilize such functionality. The varifocal tools that are the least burdensome to drive (ex: liquid crystal, elastomeric or optofluidic lenses) suffer from low (~100 Hz) refresh rates. Conversely, the fastest devices sacrifice either critical capabilities such as dwelling capacity (ex: acoustic gradient lenses or monolithic micromechanical mirrors) or low operating overhead (ex: deformable mirror arrays). Here, we present a general-purpose random-access axial focusing device that bridges these previously conflicting features of high speed, dwelling capacity and lightweight drive by employing low-rigidity micromirrors that exploit the robustness of defocusing phase profiles. Geometrically, the device consists of an 8.2 mm diameter array of piston-motion, 48 μm-pitch micromirror pixels that provide 2π phase shifting for wavelengths shorter than 1 100 nm with 10-90% settling in 64.8 μs (i.e. 15.44 kHz refresh rate). The pixels are electrically partitioned into 32 rings for a driving scheme that enables phase-wrapped operation with circular symmetry and requires less than 30 V/channel. Optical experiments demonstrated the array’s wide focusing range with a measured ability to target 29 distinct, resolvable depth planes. Overall, the features of the proposed array offer the potential for compact, straightforward methods of tackling bottlenecked applications including high-throughput single-cell targeting in neurobiology and the delivery of dense 3D visual information in AR/VR. Copyright © 2020, The Authors. All rights reserved.

关键词： Pixels

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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A Dual-Band Printed Dipole Antenna for Unidirectional Radiation

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IOP Conference Series: Materials Science and engineering 2020年第1期965卷

作者： Sompongpinit Suwanachart Duangarthit Srimoon Jhirat Mearnchu Student in Master of Electrical and Computer Engineering Program College of Engineering Rangsit University 52/347 MuangAke Phaholyothin Road Lakhok Pathumthani 12000 Thailand. Department of Computer Engineering College of Engineering Rangsit University 52/347 MuangAke Phaholyothin Road Lakhok Pathumthani 12000 Thailand. Department of Electrical Engineering Faculty of Engineering and Industrial Technology Silpakorn University 6 Rajamankha Nai Road Muang Nakornpathom 73000 Thailand.

This paper presents a dual-band printed dipole antenna for unidirectional radiation. The antenna is designed for the Wireless Local Area Network (WLAN) system that operating on both the frequency ranges of 2.400 – 2.483 GHz and 5.15 – 5.85 GHz. Radiated elements of the antenna are flat conductors on the surface of FR4 printed circuit board. All elements are on the same side of FR4. Coaxial line is chosen for feeding. It makes the antenna good matching and easy to assembly. The antenna is simulated by computer program before fabricating a prototype. It provides omni-directional radiation but has a direction with the gain about 5 dBi at the central of both operating frequencies. It is appropriate for the system that desired the signal to radiate surround but has some direction together. The size of the antenna is 44.0 × 60.0 mm2. Advantages of the antenna are low profile structure, light weight, and can be fabricated with cheap material. So, it is a low-cost antenna.

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A Wideband Printed Monopole Antenna with a Co-Planar Waveguide Feeding

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IOP Conference Series: Materials Science and engineering 2020年第1期965卷

作者： Chanapon Surin Duangarthit Srimoon Jhirat Mearnchu Student in Master of Electrical and Computer Engineering Program College of Engineering Rangsit University 52/347 MuangAke Phaholyothin Road Lakhok Pathumthani 12000 Thailand. Faculty of Computer Engineering College of Engineering Rangsit University 52/347 MuangAke Phaholyothin Road Lakhok Pathumthani 12000 Thailand. Department of Electrical Engineering Faculty of Engineering and Industrial Technology Silpakorn University 6 Rajamankha Nai Road Muang Nakornpathom 73000 Thailand.

A wideband printed monopole antenna with a co-planar waveguide feeding is presented. This antenna provides a frequency range of 1.7 – 6.0 GHz. It is a flat conductor on FR4 printed circuit board. The shape of ground and pole are rectangle that the 2 corners near the feeding point are 25 degree chamfered, symmetrically. The ground is etched to form a co-planar waveguide for feeding. For this work, the antenna is simulated by using computer program before fabricating a prototype. The antenna provides an omni-directional radiation same as donut shape at the low frequency of the operating band. The radiation pattern is change when the frequency is shift to high but still omni-direction. The bandwidth of the antenna is 112% between 1.7 GHz and 6.0 GHz with the reflection coefficient less than -10 dB across the band. Gains of the antenna are 2.3, 4.9, and 3.4 dBi at the frequencies of 1.8, 3.8, and 5.8 GHz, respectively. They are the 3 points of low-, central- and high-frequency of the operating band. The size of the antenna is 70.0 × 40.0 mm2. Advantages of the antenna are wideband, low profile structure, light weight, and can be fabricated by FR4 make it low-cost.

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Telecommunication-wavelength lasing in er-doped gan multiple quantum wells at room temperature

Telecommunication-wavelength lasing in er-doped gan multiple...

引用

Advanced Solid State Lasers, ASSL 2018

作者： Ho, V.X. Al Tahtamouni, T.M. Wang, Y. Jiang, H.X. Lin, J.Y. Zavada, J.M. Vinh, N.Q. Department of Physics Center for Soft Matter and Biological Physics Virginia Tech BlacksburgVA24061 United States Materials Science and Technology Program College of Arts and Sciences Qatar University Doha2713 Qatar Department of Electrical and Computer Engineering Texas Tech University LubbockTX79409 United States Department of Electrical and Computer Engineering New York University BrooklynNY11201 United States

We report the realization of room-temperature, stimulated-emission in Er-doped-GaN multiple-quantum-wells at the 1.5-µm. Structures were grown by MOCVD and lasing was confirmed by threshold-behaviors of emission-... 详细信息

ISBN: (纸本)9781943580484

关键词： Semiconductor quantum wells

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E-Translator Kawi to Bahasa 2

E-Translator Kawi to Bahasa

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2nd International Joint Conference on Advanced engineering and technology, IJCAET 2017 and International Symposium on Advanced Mechanical and Power engineering, ISAMPE 2017

作者： Sudana, Oka Putra, Darma Sudarma, M. Hartati, Rukmi S. Pradnya Prastika, Ryan Wirdiani, Ayu Study Program of Doctoral Engineering Science Faculty of Engineering Udayana University Kabupaten Badung-Bali80361 Indonesia Information Technology Departement Faculty of Engineering Udayana University Kabupaten Badung-Bali80361 Indonesia Electrical and Computer EngineeringDepartement Faculty of Engineering Udayana University Jalan Raya Bukit Jimbaran Kabupaten Badung-Bali80361 Indonesia

Kawi Language is a kind of language which has developed in Java during the Hindu-Buddhist era in the ancient Indonesian archipelago. As the time passed, Kawi began to come to extinction. To overcome this, preservation of Kawi language can be done by enhancing the understanding of culture through the use of technology. technology that can be used for cultural preservation is one of NLP based applications such as Kawi Language to Bahasa Translator Application which is developed in this research. The translator application is an application that translates from one language to another. The result of translation of the translator application is a language that is easy to understand by the people or commonly used language. This translator application is developed to processes Kawi Language text into bahasa based on search method which each word inserted. The stemming method used is Bobby Nazief & Mima Adriani Algorithm using Kawi Language rule. The translated Kawi Language text can be a word, sentence or paragraph with the result of the Text in Bahasa as well as words, sentences or paragraphs. © The Authors, published by EDP Sciences, 2018.

关键词： Translation (languages)

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Work in Progress – Establishing a Master program in Cyber Physical Systems: Basic Findings and Future Perspectives

Work in Progress – Establishing a Master Program in Cyber P...

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International Conference on Promising Electronic Technologies (ICPET)

作者： Isam Ishaq Rashid Jayousi Salaheddin Odeh Ezzaldeen Edwan Asmaa Shaheen Mohamed Elnaggar Ahmed Elagha Samy Salamah Christian Weber Hasan Abu Rasheed Raimund Kirner Martina Doolan Hamidreza Ahmadian Roman Obermaisser Dhiah el Diehn I. Abou-Tair Ala Khalifeh Sahel Alouneh Zaid Alhalhouli Khalid Alemerien Faiez Gargouri Bassem Bouaziz Nadia Aloui Mohammad Saleh Computer Engineering and Science Departments Al-Quds University Jerusalem Palestine Engineering Program and Computer Department Palestine Technical College - Deir El-Balah Deir El-Balah Palestine Institute of Knowledge Based Systems & Knowledge Management University of Siegen Siegen Germany University of Siegen Siegen Germany School of Engineering and Computer Science University of Hertfordshire Hatfield UK Chair of Embedded Systems University of Siegen Siegen Germany German Jordanian University Amman Jordan School of Electrical Engineering and Information Technology German Jordanian University Amman Jordan Computer and Information Technology Department Tafila Technical University Tafila Jordan Higher Institute of Computer Science and Multimedia University of Sfax Sfax Tunisia Higher Institute of Applied Sciences and Technology of Mateur University of Carthage Mateure Tunisia KTH Royal Institute of Technology Stockholm Sweden

This paper reports on the basic findings and future perspectives of a capacity building project funded by the European Union. The International Master of Science on Cyber Physical Systems (MS@CPS) is a collaborative project that aims to establish a master program in cyber physical systems (CPS). A consortium composed of nine partners proposed the project. Three partners are European and from Germany, UK and Sweden; while the other six partners are from the South Mediterranean region and include: Palestine, Jordan and Tunisia. The consortium is led by the University of Siegen in Germany who also manages the implementation of the work packages. CPS is an emerging engineering subject with significant economic and societal implications, which motivated the consortium to propose the establishment of a master program to offer educational and training opportunities at graduate level in the fields of CPS. In this paper, CPS as a field of study is presented with an emphasis on its importance, especially with regard to meeting local needs. A brief description of the project is presented in conjunction with the methodology for developing the courses and their learning outcomes.

关键词： computer science Internet of Things Industries Knowledge engineering Embedded systems Europe Collaboration

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Author Correction: Predicting the efficiency of prime editing guide RNAs in human cells

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Nature biotechnology 2024年第3期42卷 529页

作者： Hui Kwon Kim Goosang Yu Jinman Park Seonwoo Min Sungtae Lee Sungroh Yoon Hyongbum Henry Kim Department of Pharmacology Yonsei University College of Medicine Seoul Republic of Korea. Brain Korea 21 Plus Project for Medical Sciences Yonsei University College of Medicine Seoul Republic of Korea. Center for Nanomedicine Institute for Basic Science (IBS) Seoul Republic of Korea. Graduate Program of Nano Biomedical Engineering (NanoBME) Advanced Science Institute Yonsei University Seoul Republic of Korea. Electrical and Computer Engineering Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Graduate School of Data Science Seoul National University Seoul Republic of Korea. Department of Pharmacology Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Brain Korea 21 Plus Project for Medical Sciences Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Center for Nanomedicine Institute for Basic Science (IBS) Seoul Republic of Korea. hkim1@yuhs.ac. Graduate Program of Nano Biomedical Engineering (NanoBME) Advanced Science Institute Yonsei University Seoul Republic of Korea. hkim1@yuhs.ac. Severance Biomedical Science Institute Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Graduate Program of NanoScience and Technology Yonsei University Seoul Republic of Korea. hkim1@yuhs.ac.

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Two-dimensional charge order stabilized in clean polytype heterostructures

arXiv

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arXiv 2021年

作者： Sung, Suk Hyun Schnitzer, Noah Novakov, Steve El Baggari, Ismail Luo, Xiangpeng Gim, Jiseok Vu, Nguyen M. Li, Zidong Brintlinger, Todd H. Liu, Yu Lu, Wenjian Sun, Yuping Deotare, Parag B. Sun, Kai Zhao, Liuyan Kourkoutis, Lena F. Heron, John T. Hovden, Robert Department of Materials Science and Engineering University of Michigan Ann ArborMI48109 United States Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Kavli Institute at Cornell for Nanoscale Science IthacaNY14853 United States Department of Physics University of Michigan Ann ArborMI48109 United States Department of Physics Cornell University IthacaNY14853 United States Rowland Institute at Harvard CambridgeMA02142 United States Electrical and Computer Engineering Department University of Michigan Ann ArborMI48109 United States Materials Science and Technology Division U.S. Naval Research Laboratory WashingtonDC20375 United States Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei230031 China High Magnetic Field Laboratory Chinese Academy of Sciences Hefei230031 China Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing210093 China Applied Physics Program University of Michigan Ann ArborMI48109 United States School of Applied and Engineering Physics Cornell University IthacaNY14853 United States

Compelling evidence suggests distinct correlated electron behavior may exist only in clean 2D materials such as 1T-TaS2. Unfortunately, experiment and theory suggest that extrinsic disorder in free standing 2D layers disrupts correlation-driven quantum behavior. Here we demonstrate a route to realizing fragile 2D quantum states through endotaxial polytype engineering of van der Waals materials. The true isolation of 2D charge density waves (CDWs) between metallic layers stabilizes commensurate long-range order and lifts the coupling between neighboring CDW layers to restore mirror symmetries via interlayer CDW twinning. The twinned-commensurate charge density wave (tC-CDW) reported herein has a single metal–insulator phase transition at ~350 K as measured structurally and electronically. Fast in-situ transmission electron microscopy and scanned nanobeam diffraction map the formation of tC-CDWs. This work introduces endotaxial polytype engineering of van der Waals materials to access latent 2D ground states distinct from conventional 2D fabrication. © 2021, CC BY.

关键词： Charge density waves

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