Gary Fong GearGuard combination lock and security cable ￡20.34, body lock ￡25.14, lens lock ￡33

Tim Coleman

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Gary Fong GearGuard combination lock and security cable ￡20.34, body lock ￡25.14, lens lock ￡33

机译：Gary Fong GearGuard密码锁和安全缆绳￡ 20.34，车身锁￡ 25.14，镜头锁￡ 33

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GARY Fong's GearGuard range provides a simple-to-use and reasonably priced method for safeguarding your camera equipment against theft. Currently, there are options for a camera body, lens and clip-fastened bags. Each of the options can be used with your own lock or with the company's combination lock and security cable. At 36in (91cm) and made of braided steel, the cable is flexible and repels even a wire-cutter attack.

机译：GARY Fong的GearGuard系列提供了一种易于使用且价格合理的方法来保护相机设备免遭盗窃。当前，相机机身，镜头和夹子固定包有多种选择。每个选项都可以与您自己的锁或公司的组合锁和安全电缆一起使用。电缆高度为36英寸（91厘米），由编织钢制成，具有柔韧性，甚至可以抵御剪线钳的攻击。

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《Amateur Photographer》 |2011年第2期|共1页
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Tim Coleman;
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1. Gary Fong GearGuard combination lock and security cable ￡20.34, body lock ￡25.14, lens lock ￡33 [J] . Tim Coleman Amateur Photographer . 2011,第Apra2期

机译：Gary Fong GearGuard密码锁和安全缆绳￡ 20.34，车身锁￡ 25.14，镜头锁￡ 33
2. Greenbrook shaves ￡￡￡s off tower blocks' energy consumption [J] . Electrical Engineering . 2010,第mara期

机译：格林布鲁克剃光了塔式大楼的能源消耗
3. A 2.4-GHz all-digital phase-locked loop with a pipeline-???￡ time-to-digital converter [J] . Zixuan Wang, Shanwen Hu, Zhikuang Cai, IEICE Electronics Express . 2017,第6期

机译：具有流水线时间数字转换器的2.4 GHz全数字锁相环
4. Generation of 33-fs laser pulses from a Kerr-lens mode-locked Yb:CaYAlO4 laser [C] . Gao Ziye, Zhu Jiangfeng, Wang Junli, Conference on Lasers and Electro-Optics . 2015

机译：从Kerr透镜锁模Yb：CaYAlO 4 激光器产生33-fs激光脉冲
5. Blocking of the IL-33/ST2 Signaling Axis by a Single-Chain Antibody Variable Fragment (scFv) Specific to IL-33 with a Defined Epitope [O] . Soo Bin Park, Sun-Jick Kim, Sang Woo Cho, 2020

机译：通过具有定义表位的单链抗体可变片段（SCFV）对IL-33 / ST2信号轴的阻断具有定义的表位
6. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Gary Fong GearGuard combination lock and security cable ￡20.34, body lock ￡25.14, lens lock ￡33

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