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Mathematical Model with Energy and Clustering Energy Based Routing Protocols as Remediation to the Directional Source Aware Routing Protocol in Wireless Sensor Networks

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Wireless Sensor Network 2022年第2期14卷 23-39页

作者： Samir Haddad Jinane Sayah Bachar El-Hassan Chadi Kallab Mohamad Chakroun Nisrine Turkey Jinan Charafeddine Hani Hamdan Faculty of Arts and Sciences Department of Computer Science and Mathematics University of Balamand Koura Lebanon Issam Fares Faculty of Technology Department of Telecom and Networks University of Balamand Koura Lebanon Faculty of Engineering Branch 1 Department of Electricity and Electronics Lebanese University Lebanon Faculty of Computer Science and Electrical Engineering The University of Rostock Rostock Germany Faculty of Engineering Notre Dame University Lebanon Université Paris-Saclay P&ocirc le scientifique et technologique de Vélizy Laboratoire d'Ingénierie des Systèmes de Versailles (LISV EA4048) Vélizy France Université Paris-Saclay CentraleSupélec CNRS Laboratoire des Signaux et Systèmes (L2S UMR CNRS 8506) Gif-sur-Yvette France

In this paper, a routing protocol for wireless sensor network, baptized energy based protocol (EBP) is proposed. Wireless sensor network presents many challenges and constraints, and one of the major constraints is the routing problem. Due to the limited energy of sensor nodes, routing in this type of network shall perform efficiently to maximize the network lifetime. One of the proposed algorithms is the directional source aware routing protocol (DSAP) which, after simulation, showed a lot of limitations and drawbacks. The modified directional source aware routing protocol (MDSAP) was proposed by the authors of this paper to address some of the DSAP’s limitations but remains limited to a fixed topology, fixed source and stationary nodes. So EBP is proposed and operated under different scenarios and showed, after its simulation using TinyOS, many advantages in terms of load balancing, free looping, minimizing packet error rate and maximizing network lifetime.

关键词： Cluster DSAP Energy MDSAP Routing Sensor Network Topology Energy Based Protocol

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TargetNet: Functional microRNA target prediction with deep neural networks

arXiv

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arXiv 2021年

作者： Min, Seonwoo Lee, Byunghan Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of LG AI Research Seoul07796 Korea Republic of Department of Electronic and IT Media Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Interdisciplinary Program in Artificial Intelligence and Interdisciplinary Program in Bioinformatics Seoul National University Seoul08826 Korea Republic of

Motivation: MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by binding to target sites of messenger RNAs (mRNAs). While identifying functional targets of miRNAs is of utmost importance, their prediction remains a great challenge. Previous computational algorithms have major limitations. They use conservative candidate target site (CTS) selection criteria mainly focusing on canonical site types, rely on laborious and time-consuming manual feature extraction, and do not fully capitalize on the information underlying miRNA-CTS interactions. Results: In this paper, we introduce TargetNet, a novel deep learning-based algorithm for functional miRNA target prediction. To address the limitations of previous approaches, TargetNet has three key components: (1) relaxed CTS selection criteria accommodating irregularities in the seed region, (2) a novel miRNA-CTS sequence encoding scheme incorporating extended seed region alignments, and (3) a deep residual network-based prediction model. The proposed model was trained with miRNA-CTS pair datasets and evaluated with miRNA-mRNA pair datasets. TargetNet advances the previous state-of-theart algorithms used in functional miRNA target classification. Furthermore, it demonstrates great potential for distinguishing high-functional miRNA targets. © 2021, CC BY-NC-ND.

关键词： RNA

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Measuring pitch extractors' response to frequency-modulated multi-component signals

arXiv

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arXiv 2022年

作者： Kawahara, Hideki Yatabe, Kohei Sakakibara, Ken-Ichi Kitamura, Tatsuya Banno, Hideki Morise, Masanori Center for Innovative Research and Liaison Wakayama University Wakayama640-8510 Japan Department of Electrical Engineering and Computer Science Tokyo University of Agriculture and Technology Tokyo184-8588 Japan Department of Speech-Language-Hearing Therapy Health Science University of Hokkaido Hokkaido Sapporo061-0293 Japan Faculty of Intelligence and Informatics Konan University Hyogo Kobe658-8501 Japan Department of Information Engineering Meijo University Aichi Nagoya468-8502 Japan Department of Frontier Media Science Meiji University Tokyo164-8525 Japan

This article focuses on the research tool for investigating the fundamental frequencies of voiced sounds. We introduce an objective and informative measurement method of pitch extractors' response to frequency-modulated tones. The method uses a new test signal for acoustic system analysis. The test signal enables simultaneous measurement of the extractors' responses. They are the modulation frequency response and the total distortion, including intermodulation distortions. We applied this method to various pitch extractors and placed them on several performance maps. We used the proposed method to fine-tune one of the extractors to make it the best fit tool for scientific research of voice fundamental *** Codes 94A12, 93C80, 42-08 Copyright © 2022, The Authors. All rights reserved.

关键词： Frequency modulation

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You drive me crazy! Interactive QoE assessment for telepresence robot control

arXiv

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arXiv 2020年

作者： Jahromi, Hamed Z. Bartolec, Ivan Gamboa, Edwin Hines, Andrew Schatz, Raimund School of Computer Science University College Dublin Ireland Faculty of Electrical Engineering and Computing University of Zagreb Croatia Institute of Media Technology TU Ilmenau Germany Center for Technology Experience AIT Austrian Institute of Technology Austria

Telepresence robots (TPRs) are versatile, remotely controlled vehicles that enable physical presence and human-to-human interaction over a distance. Thanks to improving hardware and dropping price points, TPRs enjoy the growing interest in various industries and application domains. Still, a satisfying experience remains key for their acceptance and successful adoption, not only in terms of enabling remote communication with others, but also in terms of managing robot mobility by means of remote navigation. This paper focuses on the latter aspect of remote operation which has been hitherto neglected. We present the results of an extensive subjective study designed to systematically assess remote navigation Quality of Experience (QoE) in the context of using a TPR live over the Internet. Participants were’beamed’ into a remote office space and asked to perform characteristic TPR remote operation tasks (driving, turning, parking). Visual and control dimensions of their experience were systematically impaired by altering network characteristics (bandwidth, delay and packet loss rate) in a controlled fashion. Our results show that users can differentiate well between visual and navigation/control aspects of their experience. Furthermore, QoE impairment sensitivity varies with the actual task at hand. Copyright © 2020, The Authors. All rights reserved.

关键词： Quality of service

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You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control

You Drive Me Crazy! Interactive QoE Assessment for Teleprese...

引用

International Workshop on Quality of Multimedia Experience, QoMEx

作者： Hamed Z. Jahromi Ivan Bartolec Edwin Gamboa Andrew Hines Raimund Schatz School of Computer Science University College Dublin Ireland Faculty of Electrical Engineering and Computing University of Zagreb Croatia Institute of Media Technology TU Ilmenau Germany Center for Technology Experience AIT Austrian Institute of Technology Austria

ISBN: (数字)9781728159652

ISBN: (纸本)9781728159669

Telepresence robots (TPRs) are versatile, remotely controlled vehicles that enable physical presence and human-to-human interaction over a distance. Thanks to improving hardware and dropping price points, TPRs enjoy the growing interest in various industries and application domains. Still, a satisfying experience remains key for their acceptance and successful adoption, not only in terms of enabling remote communication with others, but also in terms of managing robot mobility by means of remote navigation. This paper focuses on the latter aspect of remote operation which has been hitherto neglected. We present the results of an extensive subjective study designed to systematically assess remote navigation Quality of Experience (QoE) in the context of using a TPR live over the Internet. Participants were `beamed' into a remote office space and asked to perform characteristic TPR remote operation tasks (driving, turning, parking). Visual and control dimensions of their experience were systematically impaired by altering network characteristics (bandwidth, delay and packet loss rate) in a controlled fashion. Our results show that users can differentiate well between visual and navigation/control aspects of their experience. Furthermore, QoE impairment sensitivity varies with the actual task at hand.

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TaAs Weyl Semimetal Full-Stokes Integrated Polarimeter

TaAs Weyl Semimetal Full-Stokes Integrated Polarimeter

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yufei Jia Fugu Tian Haokun Luo Hasitha Suriya Arachchige David Mandrus Demetrios N. Christodoulides Mercedeh Khajavikhan Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California USA CREOL The College of Optics and Photonics University of Central Florida Orlando Florida USA Department of Physics & Astronomy University of Tennessee Knoxville Tennessee USA Department of Materials Science and Engineering University of Tennessee Knoxville Tennessee USA Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee USA Department of Physics & Astronomy Dornsife College of Letters Arts & Sciences University of Southern California Los Angeles CA USA

We demonstrate a full-Stokes integrated polarimeter based on the circular photogalvainc effect in TaAs Weyl semimetal. Our work could enable a new class of compact and broadband polarization sensitive optoelectronic d... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Optoelectronic devices Broadband communication Electo-optic effects

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Complex Skin Modes in Non-Hermitian Coupled Laser Arrays

arXiv

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arXiv 2022年

作者： Liu, Yuzhou G.N. Wei, Yunxuan Hemmatyar, Omid Pyrialakos, Georgios G. Jung, Pawel S. Christodoulides, Demetrios N. Khajavikhan, Mercedeh Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States CREOL The College of Optics & Photonics University of Central Florida OrlandoFL32816-2700 United States Faculty of Physics Warsaw University of Technology Koszykowa 75 Warsaw00-662 Poland Department of Physics & Astronomy Dornsife College of Letters Arts & Sciences University of Southern California Los AngelesCA90089 United States

From biological ecosystems to spin glasses, connectivity plays a crucial role in determining the function, dynamics, and resiliency of a network. In the realm of non-Hermitian physics, the possibility of complex and asymmetric exchange interactions (ǀкijǀ ≠ ǀкjiǀ) between a network of oscillators has been theoretically shown to lead to novel behaviors like delocalization, skin effect, and bulk-boundary correspondence. An archetypical lattice exhibiting the aforementioned properties is that proposed by Hatano and Nelson in a series of papers in late 1990s. While the ramifications of these theoretical works in optics have been recently pursued in synthetic dimensions, the Hatano-Nelson model has yet to be realized in real space. What makes the implementation of these lattices challenging is the difficulty in establishing the required asymmetric exchange interactions in optical platforms. In this work, by using active optical oscillators featuring non-Hermiticity and nonlinearity, we introduce an anisotropic exchange between the resonant elements in a lattice, an aspect that enables us to observe the non-Hermitian skin effect, phase locking, and near-field beam steering in a Hatano-Nelson laser array. Our work opens up new regimes of phase-locking in lasers while shedding light on the fundamental physics of non-Hermitian systems. © 2022, CC BY.

关键词： Spin dynamics

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EBHI: A new enteroscope biopsy histopathological H&E image dataset for image classification evaluation

arXiv

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arXiv 2022年

作者： Hu, Weiming Li, Chen Li, Xiaoyan Rahaman, Md Mamunur Zhang, Yong Chen, Haoyuan Liu, Wanli Yao, Yudong Sun, Hongzan Xu, Ning Huang, Xinyu Grzegorzek, Marcin Microscopic Image And Medical Image Analysis Group MBIE College Northeastern University Shenyang110169 China Department Of Pathology Cancer Hospital China Medical University Liaoning Cancer Hospital And Institute Shenyang110042 China School Of Computer Science And Engineering University Of New South Wales SydneyNSW2052 Australia Department Of Electrical And Computer Engineering Stevens Institute Of Technology HobokenNJ07030 United States Department Of Radiology Shengjing Hospital China Medical University Shenyang110122 China School Of Arts And Design Liaoning Shihua University Fushun113001 China Institute Of Medical Informatics University Of Luebeck Luebeck Germany

Background and purpose: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is important for the treatment of colorectal cancer patients. Histopathological examination is the gold standard for screening colorectal cancer. However, the current lack of histopathological image datasets of colorectal cancer, especially enteroscope biopsies, hinders the accurate evaluation of computer-aided diagnosis techniques. Methods: A new publicly available Enteroscope Biopsy Histopathological H&E Image Dataset (EBHI) is published in this paper. To demonstrate the effectiveness of the EBHI dataset, we have utilized several machine learning, convolutional neural networks and novel transformer-based classifiers for experimentation and evaluation, using an image with a magnification of 200×. Results: Experimental results show that the deep learning method performs well on the EBHI dataset. Traditional machine learning methods achieve maximum accuracy of 76.02% and deep learning method achieves a maximum accuracy of 95.37%. Conclusion: To the best of our knowledge, EBHI is the first publicly available colorectal histopathology enteroscope biopsy dataset with four magnifications and five types of images of tumor differentiation stages, totaling 5532 images. We believe that EBHI could attract researchers to explore new classification algorithms for the automated diagnosis of colorectal cancer, which could help physicians and patients in clinical settings. Copyright © 2022, The Authors. All rights reserved.

关键词： Image classification

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Reusable Data Visualization Patterns for Clinical Practice 1st

Reusable Data Visualization Patterns for Clinical Practice

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1st International Conference on Systems Modelling and Management, ICSMM 2020

作者： Rabbi, Fazle Wake, Jo Dugstad Nordgreen, Tine Department of Information Science and Media Studies University of Bergen Bergen Norway Department of Computer Technology Electrical Engineering and Science Western Norway University of Applied Sciences Bergen Norway NORCE Norwegian Research Centre Bergen Norway eMeistring Bjørgvin DPS Division of Psychiatry Haukeland University Hospital Bergen Norway Department of Clinical Psychology University of Bergen Bergen Norway

ISBN: (纸本)9783030581664

Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data visualizations is a technique for managing enormous amounts of data and extract useful information, and is often used in developing digital tool support for decision-making. Although there exists numerous data visualisation and analytical reasoning techniques available through interactive visual interfaces, it is a challenge to develop visualizations that are relevant and suitable in a healthcare context, and can be used in clinical practice in a meaningful way. For this purpose it is necessary to identify actual needs of healthcare professionals and develop reusable data visualization components according to these needs. In this paper we present a study of decision support needs of psychologists involved in online internet-facilitated cognitive behavioural therapy. Based on these needs, we provide a library of reusable visual components using a model-based approach. The visual components are featured with mechanisms for investigating data using various levels of abstraction and causal analysis. © 2020, Springer Nature Switzerland AG.

关键词： Data visualization

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Publisher Correction: A conformable phased-array ultrasound patch for bladder volume monitoring

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Nature Electronics 2024年 91页

作者： Lin Zhang Colin Marcus David Mejorado Sara V. Fernandez Ikra Iftekhar Shuvo David Sadat Wenya Du Canan Dagdeviren Anantha P. Chandrakasan Dabin Lin Weiguo Liu Scott Joseph Schoen Jr Theodore T. Pierce Viksit Kumar David Hunt Qian Li Hannah Edenbaum Anthony E. Samir Li Jin Fei Li Yonina C. Eldar Media Lab Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA USA School of Opto-electronical Engineering Xi’an Technological University Xi’an China Center for Ultrasound Research & Translation Department of Radiology Massachusetts General Hospital Boston MA USA Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education School of Electronic Science and Engineering Xi’an Jiaotong University Xi’an China Faculty of Math and Computer Science Weizmann Institute of Science Rehovot Israel

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