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    • MagMIMOHotspot Read
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MagMIMOHotspot Read

Magnetic MIMO: how to charge your phone in your pocket Motivation Current wireless chargers need to remember to regularly charge our mobile phones which is not the wireless charging we hoped for. We would like to have our cell phones charged in our pockets, and never again worry about forgetting to charge the phone. MIMO RF techniques power phones remotely, however, delivering a large amount of power via radiation can cause local heating inside the human body. Contribution They propose a novel design that focuses the magnetic flux from multiple coils in a steerable beam and points it at the phone, in a manner analogous to multi-antenna beamforming in wireless communications. The design can charge unmodified smart phones at distances up to 40 cm, and works regardless of the phone orientation with respect to the charging pad. Magnetic-Beamforming Figure 1: Illustration of the analogies between standard MIMO and MagMIMO. For a 2-antenna MIMO transmitter.

    Thursday, November 7, 2024 | 7 minutes Read
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    Circuit Base

    Basic circuit Charge It is defined in terms of the ampere by counting the total charge that passes through an arbitrary cross section of a wire during an interval of one second. In the SI system, the fundamental unit of charge is the coulomb (C). Current We define the current at a specific point and flowing in a specified direction as the instantaneous rate at which net positive charge is moving past that point in the specified direction. Current is symbolized by I or i, and so

      Thursday, November 7, 2024 | 3 minutes Read
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      First glance

      Scheduling Layer PTE Optimization Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization Motivation: In MIMO MRC-WPT system, we need to consider the scenario when different RXs have different requirements of power. Problem formulation: weighted sum-power maximization $WSPMax = max_{{i_n^{tx}}} \sum_q w_q |i^{rx}_q|^2 r^{rx}_q $ Subject to: $$ \sum_n \left|i_n^{tx}\right|^2 r_n^{tx} + \sum_q \left|i_q^{rx}\right|^2 r_q^{rx} \leq P_{\text{max}}, \ $$ $$ \left|i_n^{tx}\right|^2 \leq A_n^{tx}, \quad \forall 1 \leq n \leq N, \ $$

        Thursday, October 31, 2024 | 5 minutes Read
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        Multimodal-fusion research

        Fusion stage Figure 1: Mind map of Deep Multimodal Learning Inference mechanism for multi-sensors fusion Figure 2: Mind map of A comparative review on multi-modal sensors fusion based on deep learning

          Wednesday, October 16, 2024 | 1 minute Read
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          Recommendation Progress

          个人情况 本科: 重庆大学 专业: 计算机科学与技术 排名: 1.3% (rank 3) 英语: 六级 547 荣誉: 国家奖学金、重庆市三好学生 竞赛: 无竞赛 科研: 有 CV 领域相关经历,面试时有 NIPS 二作在投 最终去向: 中国科学技术大学-计算机科学与技术学院 夏令营情况 院校 类型 入营 offer 南京大学-计算机科学与技术学院 硕士 √ 候补 清华大学-深圳国际研究生院(数据与信息研究院人工智能项目) 硕士 × 清华大学-网络研究院 硕士 × 南京大学-人工智能学院 硕士 × 中国人民大学-高瓴人工智能学院 直博 √ 时间冲突,放弃参营 上海交通大学-人工智能学院 直博 √ 不合格(斩杀) 中国科学技术大学-计算机科学与技术学院 硕士 √ 学硕 南京大学-计算机科学与技术学院 线上测试过了,线下机试 0 分。。。 南京大学-人工智能学院 入了计院,不让入人工智能学院? 上海交通大学-人工智能学院 没有提前联系好老师,科研积累太少。 预推免情况 院校 类型 入营 offer 清华大学-软件学院 专硕 √ × 浙江大学-计算机科学与技术学院 硕士 √ 专硕 总结:入营基本都能入,但自身实力差。南大机试报零,面试差导致上交直博不合格。

            Thursday, October 10, 2024 | 1 minute Read
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            C language lecture 1

            怎么和计算机打交道 Figure 1: 早期将穿孔纸带输入计算机 Figure 2: 使用汇编语言编程 Figure 3: 使用高级语言C语言编程 为什么要学 C 语言 基础性强:C 语言是一门底层语言,靠近计算机硬件。学习 C 语言能够帮助你理解计算机是如何工作的,如内存管理、指针操作和硬件交互等。很多高级语言(如 C++、Python)都基于 C 语言。 高效性能:C 语言生成的代码通常比很多高级语言效率更高,特别适合对性能要求高的场景,比如实时系统、游戏引擎等。 。。。 怎么开始学习 C/C++ 语言 首先需要一个写代码的好地方,推荐 VS Code 安装 VS Code 安装 C/C++ 扩展 安装 MinGW-w64 编译工具,并检查 向编程世界打声招呼 #include <iostream> using namespace std; int main() { cout << "Hello, World!" << endl; return 0; }

              Friday, September 13, 2024 | 1 minute Read
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              transformer Read

              Questions What’s the number of operations required to relate signals from two arbitrary input or output positions grows in the distance between positions ? Extended Learning Attention mechanisms with a recurrent network. Bahdanau, Dzmitry. “Neural machine translation by jointly learning to align and translate.” arXiv preprint arXiv:1409.0473 (2014). Use convolutional neural networks to compute hidden representations in parallel. Gehring, Jonas, et al. “Convolutional sequence to sequence learning.” International conference on machine learning. PMLR, 2017.

                Thursday, September 12, 2024 | 1 minute Read
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                DINO Read

                Questions What’s the function of centering $ C $ and sharpening parameter $ \tau_t $ ? Extended Learning Multi-crop training. Caron, Mathilde, et al. “Unsupervised learning of visual features by contrasting cluster assignments.” Advances in neural information processing systems 33 (2020): 9912-9924. Use a noise contrastive estimator (NCE) to compare instances instead of classifying them. Wu, Zhirong, et al. “Unsupervised feature learning via non-parametric instance discrimination.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2018.

                  Friday, September 6, 2024 | 1 minute Read
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                  SimGCD Read

                  Research Task Generalized Category Discovery (GCD) relaxes the assumption of traditional semi-supervised learning by assuming the unlabelled data can also contain different but related categories from the labelled data. The goal of GCD is to learn a model that is able to classify the already-seen categories in the labelled data, and more importantly, jointly discover the new categories in the unlabelled data and make correct classifications. Limitations of Previous Methods Previous methods can be categorized into two distinct approaches:

                    Monday, September 2, 2024 | 2 minutes Read
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                    Introduction

                    Greeting! This is an introduction post. This post tests the followings: Hero image is in the same directory as the post. This post should be at top of the sidebar. Post author should be the same as specified in author.yaml file.

                    • Basic
                    • Multi-lingual
                    Monday, June 8, 2020 | 1 minute Read
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                    Markdown Samples

                    This is a sample post intended to test the followings: A different post author. Table of contents. Markdown content rendering. Math rendering. Emoji rendering. Markdown Syntax Rendering Headings The following HTML <h1>—<h6> elements represent six levels of section headings. <h1> is the highest section level while <h6> is the lowest. H1 H2 H3 H4 H5 H6 Paragraph Xerum, quo qui aut unt expliquam qui dolut labo. Aque venitatiusda cum, voluptionse latur sitiae dolessi aut parist aut dollo enim qui voluptate ma dolestendit peritin re plis aut quas inctum laceat est volestemque commosa as cus endigna tectur, offic to cor sequas etum rerum idem sintibus eiur? Quianimin porecus evelectur, cum que nis nust voloribus ratem aut omnimi, sitatur? Quiatem. Nam, omnis sum am facea corem alique molestrunt et eos evelece arcillit ut aut eos eos nus, sin conecerem erum fuga. Ri oditatquam, ad quibus unda veliamenimin cusam et facea ipsamus es exerum sitate dolores editium rerore eost, temped molorro ratiae volorro te reribus dolorer sperchicium faceata tiustia prat.

                      Monday, June 8, 2020 | 3 minutes Read
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                      Rich Content

                      This sample post tests the followings: Category, sub-category nesting in the sidebar. Hero image and other images are in images folder inside this post directory. Different media rendering like image, tweet, YouTube video, Vimeo video etc. Image Sample Vimeo Video Sample

                      • Markdown
                      • Content Organization
                      • Multi-lingual
                      Monday, June 8, 2020 | 1 minute Read
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