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IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： P.G. Bremner J.C. West R. Afra C.F. Bunting G. Vazquez D.H. Trout RobustPhysics Del Mar CA School of Electrical & Computer Engineering Oklahoma State University Stillwater Ok USA Launch Services Program NASA Kennedy Space Center Cape Canaveral FL

In the space community, there is increasing interest in augmentation of launch fairing thermal-acoustic blankets, to also control electromagnetic environment threats. This second paper by the authors reports on the development of simulation methods to predict the maximum expected electric field levels when RF absorbing materials are used to reduce the mean field. To account for frequency variance in a “frequency-stirred” ensemble, the paper reports the experimental validation of a new unconditional probability density function model – an enhancement to Rayleigh statistics – for the reverberant electric field magnitude at any location and any frequency.

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Sensing Beyond the Exceptional Point for High Detectivity

Sensing Beyond the Exceptional Point for High Detectivity

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Conference on Lasers and Electro-Optics (CLEO)

作者： Zhichao Li Ciril S. Prasad Xielin Wang Ding Zhang Gururaj V. Naik Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston TX USA Department of Electrical and Computer Engineering Rice University Houston TX USA Department of Physics and Astronomy Rice University Houston TX USA

Exceptional point (EP)-based optical sensors exhibit exceptional sensitivity but poor detectivity. Slightly off EP operation boosts detectivity without much loss in sensitivity. We experimentally demonstrate a high-de... 详细信息

ISBN: (纸本)9798350369311

关键词： Proteins Optical losses Sensitivity Optical device fabrication Measurement by laser beam Lasers and electrooptics Optical sensors Laser applications Electro-optical waveguides

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Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens

arXiv

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arXiv 2024年

作者： Lew, Jaihyun Jang, Soohyuk Lee, Jaehoon Yoo, Seungryong Kim, Eunji Lee, Saehyung Mok, Jisoo Kim, Siwon Yoon, Sungroh Interdisciplinary Program in AI Seoul National University Korea Republic of Department of Electrical and Computer Engineering Seoul National University Korea Republic of Amazon United States AIIS ASRI INMC ISRC Seoul National University Korea Republic of

Transformers, a groundbreaking architecture proposed for natural language processing (NLP), have also achieved remarkable success in computer vision. A cornerstone of their success lies in the attention mechanism, which models relationships among tokens. While the tokenization process in NLP inherently ensures that each token maintains semantic integrity without containing multiple meanings, the grid-based tokenization of Vision Transformer (ViT) relies on uniformly partitioned square image patches, which may result in an arbitrary mixing of visual concepts within a token. In this work, we propose a novel tokenization pipeline that replaces the grid-based tokenization with superpixels, encouraging each token to capture a distinct visual concept. Unlike square image patches, superpixels are formed in varying shapes, sizes, and locations, making direct substitution challenging. To address this, our pipeline first generates pixel-level embeddings and efficiently aggregates them within superpixel clusters, producing superpixel tokens that seamlessly replace patch tokens in ViT. Extensive experiments demonstrate that our approach enhances the performance of ViT on various downstream tasks and introduces intriguing properties such as adaptive inference and semantic integrity in tokens. © 2024, CC BY.

关键词： Semantics

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DeepCat: A Deep Learning Approach to Understand Your Cat's Body Language

DeepCat: A Deep Learning Approach to Understand Your Cat's B...

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Electronics, Communications, and Computations (JAC-ECC), International Japan-Africa Conference on

作者： Arwa Fawzy Ahmed Hassan Ahmed Gad Ahmed B. Zaky Haitham El-Hussieny Computer Science and Information Technology (CSIT) program Egypt-Japan University of Science and Technology Alexandria Egypt Department of Computer Science Engineering (CSE) Egypt-Japan University of Science and Technology Alexandria Egypt Electrical Engineering Department Faculty of Engineering at Shoubra Benha University Egypt Department of Mechatronics and Robotics Engineering Egypt-Japan University of Science and Technology Alexandria Egypt

Pet owners experience difficulty in understanding their pets' body language and its implications for animal welfare, given that animals cannot utilize human speech to communicate their emotions and health conditions. However, previous experiments for analyzing cat behavior have demonstrated that cats are precisely expressive. DeepCat, a deep-learning approach developed in this study, translates cats' body language signals, enabling owners to discern their feline companions' intended messages and emotional states. Our DeepCat model was trained on a dataset comprising 10,000 cat images, implementing automatic labeling to track key features, including the tail, eyes, and mouth. Presented as a Flutter application, DeepCat can function everywhere, allowing owners to easily monitor their cats and make informed decisions in situations that require caution. This paper discusses the potential benefits and limitations of DeepCat and provides suggestions for future research in this domain.

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Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review

Trends, Opportunities, and Challenges in Detecting Depressiv...

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computer System, Information Technology, and electrical engineering (COSITE), International Conference on

作者： Gregorius Natanael Elwirehardja Mahmud Isnan Anzaludin Samsinga Perbangsa Kahlil Muchtar Bens Pardamean Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia Computer Science Department BINUS Graduate Program -Master of Computer Science Bina Nusantara University Jakarta Indonesia

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches.

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Distributed 3D-Map Matching and Merging on Resource-Limited Platforms Using Tomographic Features

Distributed 3D-Map Matching and Merging on Resource-Limited ...

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European Conference on Mobile Robots (ECMR)

作者： Halil Utku Unlu Anthony Tzes Prashanth Krishnamurthy Farshad Khorrami Electrical & Computer Engineering Department New York University Brooklyn NY USA Electrical Engineering Program New York University Abu Dhabi Abu Dhabi UAE Center for Artificial Intelligence and Robotics New York University Abu Dhabi Abu Dhabi UAE

A fast, robust, resource-efficient, and distributed 3D map matching and merging algorithm utilizing extracted tomographic features is studied. Instead of depending on 3D features and descriptors, 2D features are extracted from 2D projections of horizontal sections of gravity-aligned local maps and matched with slices from the other map at different height differences, enabling the estimation of four degrees of freedom. The proposed algorithm is observed to provide order-of-magnitude improvements in memory and time efficiency over state-of-the-art feature extraction and registration pipelines, rendering it useful for near real-time map merging tasks in resource-limited platforms (e.g. UAVs).

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UAV- Navigation Using Map Slicing and Safe Path Computation

UAV- Navigation Using Map Slicing and Safe Path Computation

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International Conference on Autonomous Robots and Agents, ICARA

作者： Halil Utku Unlu Dimitris Chaikalis Athanasios Tsoukalas Anthony Tzes Electrical & Computer Engineering Department New York University Brooklyn NY USA Electrical Engineering Program New York University Abu Dhabi Abu Dhabi UAE Center for Artificial Intelligence and Robotics New York University Abu Dhabi Abu Dhabi UAE

This paper is concerned with the safe path planning of a drone while exploring an unknown space. The drone is localized by fusing measurements from sensors including an IMU, RGB-D sensor, and an optical flow system, while executing an RTAB-Map SLAM algorithm. The 3D-occupancy Octomap is generated online and a slicing algorithm is employed to compute 2D-maps. The maps' traversible coordinates are identified and used as potential points for the drone intermediate navigation to the destination. The final segment corresponds to a shortest Chebyshev-length path between all frontier pixels and the endpoint over the unexplored map region. The drone's path is computed using a skeletal path between the identified map boundaries so that the drone moves from its current location through the free map coordinates to the destination point. Simulation studies using within the interior of an apartment indicate the efficiency and effectiveness of the proposed method.

关键词： Simultaneous localization and mapping Target tracking Navigation Robot kinematics Chebyshev approximation Sensor systems Space exploration

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Development of Buffer Zone into Living Lab - Garuda Smart City Framework: Systematic Review

Development of Buffer Zone into Living Lab - Garuda Smart Ci...

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International Conference on ICT For Smart Society (ICISS)

作者： Gunadi Emmanuel Suhono Harso Supangkat Ford Lumban Gaol Benny Ranti Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Fakultas Sains dan Teknologi Univ. Katolik Musi Charitas Palembang Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Computer Science Department Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The phenomenon of urbanization in Indonesia is inevitable. The new residential and economic centers in suburban areas is also a problem in city development. The gradual planning and development of smart cities in a living lab require consideration of the right location for a living lab. This study wants to show that suburban areas as city buffer zones can become living laboratories for smart city development. The diversity of situations in cities and regencies across Indonesia, the potential for resources, and the problems faced are the challenges of developing a living lab - Garuda Smart City Framework. This research uses the method of reviewing the literature of research publications for the last five years (2019–2023) to obtain information on Smart City development in Indonesia. We collected selected articles from databases in Google Scholar, IEEE, and Scopus using the Publish and Perish 8. The search keywords used were garuda AND Smart city AND Framework. The findings show the potential and dynamics of buffer zones to become appropriate living laboratories. Smart city regional planning can more holistically involve neighborhoods and address urban issues.

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Accelerated Dynamic Magnetic Resonance Imaging from Spatial-Subspace Reconstructions (SPARS)

arXiv

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arXiv 2023年

作者： Mertens, Alexander J. Cheng, Hai-Ling Margaret The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Canada Ted Rogers Centre for Heart Research Translational Biology & Engineering Program Toronto Canada Institute of Biomedical Engineering University of Toronto Canada

Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) ideally requires a high spatial and high temporal resolution, but hardware limitations prevent acquisitions from simultaneously achieving both. Existing image reconstruction techniques can artificially create spatial resolution at a given temporal resolution by estimating data that is not acquired, but, ultimately, spatial details are sacrificed at very high acceleration rates. The purpose of this paper is to introduce the concept of spatial subspace reconstructions (SPARS) and demonstrate its ability to reconstruct high spatial resolution dynamic images from as few as one acquired radial spoke per dynamic frame. Briefly, a low-temporal-high-spatial resolution organization of the acquired raw data is used to estimate a spatial subspace in which the high-temporal-high-spatial ground truth data resides. This subspace is then used to estimate entire images from single k-space spokes. In both simulated and human in-vivo data, the proposed SPARS reconstruction method outperformed standard GRASP and GRASP-Pro reconstruction, providing a shorter reconstruction time and yielding higher accuracy from both a spatial and temporal perspective. © 2023, CC BY.

关键词： Image reconstruction

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A critical review of the integration of renewable energy sources with various technologies

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Protection and Control of Modern Power Systems 2021年第1期6卷 37-54页

作者： Erdiwansyah Mahidin H.Husin Nasaruddin M.Zaki Muhibbuddin Doctoral Program School of EngineeringUniversitas Syiah KualaBanda Aceh23111Indonesia Faculty of Engineering Universitas Serambi MekkahBanda Aceh23245Indonesia Department of Chemical Engineering Universitas Syiah KualaBanda Aceh23111Indonesia Department of Electrical and Computer Engineering Universitas Syiah KualaBanda Aceh23111Indonesia Department of Mechanical and Industrial Engineering Universitas Syiah KualaBanda Aceh23111Indonesia

Wind power, solar power and water power are technologies that can be used as the main sources of renewable energy so that the target of decarbonisation in the energy sector can be achieved. However, when compared with conventional power plants, they have a significant difference. The share of renewable energy has made a difference and posed various challenges, especially in the power generation system. The reliability of the power system can achieve the decarbonization target but this objective often collides with several challenges and failures, such that they make achievement of the target very vulnerable, Even so, the challenges and technological solutions are still very rarely discussed in the literature. This study carried out specific investigations on various technological solutions and challenges, especially in the power system domain. The results of the review of the solution matrix and the interrelated technological challenges are the most important parts to be developed in the future. Developing a matrix with various renewable technology solutions can help solve RE challenges. The potential of the developed technological solutions is expected to be able to help and prioritize them especially cost-effective energy. In addition, technology solutions that are identified in groups can help reduce certain challenges. The categories developed in this study are used to assist in determining the specific needs and increasing transparency of the renewable energy integration process in the future.

关键词： Integration RE Energy source Technology system energy Power system Variable RE

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