足球竞猜app软件网络世界史蒂芬最大帕特森 //m.banksfrench.com en - us 星期四,2020年4月16日16:02:58 -0700 星期四,2020年4月16日16:02:58 -0700 https://idge.staticworld.net/nww/networkworld510x510.png 足球竞猜app软件 m.banksfrench.com 510 510 https://idge.staticworld.net/nww/networkworld798x288.png 足球竞猜app软件 m.banksfrench.com 796 288 如何SAP正在转向工业物联网 星期三,2017年11月8日六点18分00秒-0800 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

The view of the industrial Internet of Things (IoT) as billions of sensors connected into intelligent systems distracts from its true role: digital transformation. The gargantuan task and investment of making all these connections, reliably and securely, is pointless unless there is a solid business reason — and there are two very good ones.

2 reasons manufacturers invest in IoT

The first reason big companies invest in IoT is they are worried about being digitally disrupted by a Tesla, Uber, or the next AirBnb in their industries — disrupt or be disrupted.

The second reason: a company’s slowing growth and the need for increased productivity. BCG’s Olivier Scalabre explained that driver during a 2016 TED Talk.

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//m.banksfrench.com/article/3236555/how-sap-is-making-the-shift-to-industrial-iot.html
思科如何推动其产业物联网业务发展 2017年11月1日星期三09:27:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森 <本文> <节课=“页面”>

物联网产业联网(IoT)不具有消费者互联网的爆发式增长。这是一个基本事实,复杂的,有时无聊透顶业务。这是太复杂而多样的爆炸性增长,如严格界定,一个尺寸适合所有的iPhone。这就是说,丰厚的回报对新业务模式,是可能的物联网投资的承诺是非常引人注目的

通过风险驱动的的IoT宣传周期 is with conversations with builders and implementers at companies investing in IoT, such as Cisco’s co-innovation center chief, Maciej Kranz.

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反驳Daring Fireball的:FreeBSD中,英特尔和微软并没有保存在Mac 2017年10月19日星期四13:31:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森 <本文> <节课= “页面”>

我的博客文章的要点, “的What the IoT industry can learn from Apple’s revival of the Mac," was to use Apple’s pivot to the Intel platform and compliance with the Open Group’s Unix standards as an example of the importance of a large vibrant ecosystem (created by Intel and Microsoft) is for the IoT industry to follow.

Without the PC ecosystem, the Mac would be an obsolete machine exhibited in the Computer History Museum. The PC ecosystem eliminated much redundant development, letting component and product companies focus on their products’ differentiation. The IoT industry would benefit if it had a robust ecosystem the eliminated redundant development. 

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如何健全的互联网消除了数十亿物联网传感器 周四,2017年10月19日9点57分○○秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

The Internet of Thing’s dirty little secret is the cost of deployment. For example, adding a low-cost motion sensor and radio to a traffic light to count passing vehicles before it leaves the factory is easy and inexpensive. The incremental cost of deployment is near zero, especially if low-power wide-area network (LPWAN) coverage or other low-cost communications coverage is available. But retrofitting the traffic light with sensors and radios will cost the municipality a public works truck roll, a crew, an electrician and a police traffic detail. Retrofits are expensive.

Retrofitting the world for IoT is a data science and a sensor engineering task to study the IoT problem and find the simplest way to acquire the data. The question for the data scientist is what minimum data resolution will provide the desired result: How many sensors per unit of area and how many readings per time interval are necessary to solve the problem? The engineer must trade off sensor costs, radio costs and network availability, and power consumption versus available power sources.

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如何构建低成本的物联网传感器网络 周一,2017年10月16日7时11分○○秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

Sensor Fusion for Public Space Utilization Monitoring in a Smart City (pdf) is simply the best read for IoT product designers, developers and implementers. It steps through designing a system to measure space utilization in a city — the trade-offs made in sensor selection and calibration, power source selection, network design, data cleaning and normalization, and data processing. The methodology can be generalized for designing any IoT network. The paper is nothing less than a perfect case study about how to build an IoT network.

The most interesting aspects of the paper by Billy Pik Lik Lau, Nipun Wijerathne, and Chau Yuen of the Singapore University of Technology and Design and Benny Kai Kiat Ng of Curtin University is how they matched the sensors to acquire the data at the right resolution to estimate space utilization and built a test bed, minimizing a wide range of implementation issues. To measure space utilization, meaning how populated a space is over multiple time intervals, they chose sound and motion sensors and the fusion of the two. The methodology applied in this paper could be adapted to other sensor types.

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//m.banksfrench.com/article/3233309/how-to-build-low-cost-iot-sensor-networks.html
物联网行业可以从苹果Mac的复兴中学到什么 周四,2017年10月12日7点51分零零秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

Update: In response to a post on Daring Fireball saying I had incorrectly stated things about the Mac, I have written a reply — Rebuttal to Daring Fireball: FreeBSD, Intel and Microsoft did save the Mac — which includes a correction and clarifications.

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This post is an excerpt from a talk I gave at the Reality Virtually Hackathon that makes a similar comparison between virtual reality and augmented reality and the Mac. It holds true for the Internet of Things (IoT) and every emerging technology.

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将机器学习保存企业服务器的公司吗? 周一,2017年10月2日13点02分00秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

Nvidia and server makers Dell EMC, HPE, IBM and Supermicro announced enterprise servers featuring Nvidia’s Tesla V100 GPU. The question is, can servers designed for machine learning stem the erosion of enterprise server purchases as companies shift to PaaS, IaaS, and cloud services? The recent introduction of hardened industrial servers for IoT may indicate that server makers are looking for growth in vertical markets.

There are very compelling reasons for moving enterprise workloads to Amazon, Google, IBM and other hosted infrastructures. The scalability of on-demand resources, operating efficiency at cloud-scale and security are just three of many reasons. For instance, Google has 90 engineers working on just security where most enterprises are understaffed.

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发布/订阅模式可以在没有运营商网络的情况下连接物联网设备 08:39:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森 <文章> <节类= “网页”>

物联网(IOT)的因特网的三个特征,从工业自动化区分。

  1. 的IoT设备是便宜的。
  2. 的IoT装置可普遍连接Everyplace和任何地方。
  3. 的IoT装置具有廉价的或零成本部署。

    它解释了为什么我们看到这么少的IoT网络和为什么大多数工业物联网的预测是,我们已经有几十年的工业自动化的测量。

    第一种方法,具有很强的安全问题之外,是很容易。第二个二,不过,在新泽西州的说法 - 说易做难

    无处不在的连接被谈论,并有一个由低功耗广域网提出了一线希望(LPWAN)等。SENET专注于低成本的技术和企业合作伙伴部署网络商业模式两者。但是,等待运营商完善和部署5G网络建设物联网解决方案,将推迟创新和防止早期采用者从建立验证的概念和原型网络必不可少的技术方法,业务案例的反复学习和做的好处财务预测的IoT。 要阅读此文章全面,请点击这里 //m.banksfrench.com/article/3228164/pubsub-model-could-connect-iot-devices-without-carrier-networks.html 微软如何自我飙升滑翔机提高了物联网,数字助理 2017年9月14日星期四09:52:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

    A machine learning project to build an autonomous sailplane that remains aloft on thermal currents is impressive enough. But the work conducted by Microsoft researchers Andrey Kolobov and Iain Guilliard will also improve the decision making and trustworthiness of IoT devices, personal assistants and autonomous cars.

    The constraints limiting the computational resource of weight and space imposed by the airframe of the sailplane adds relevance to the many new developments in ubiquitous computing. The autonomous sailplane is controlled by a 160MHz Arm Cortex M4 with 256KB of RAM and 60KB of flash running on batteries that monitor the sensors, run the autopilot and control the servo motors, to which the researchers have added a machine learning model that continuously learns how to autonomously ride the thermal currents.

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    //m.banksfrench.com/article/3225304/how-microsofts-self-soaring-sailplane-improves-iot-digital-assistants.html 设备制造商无法获得物联网平台的5个原因 2017年9月11日星期一11:11:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

    If Akamai, Cisco and Google’s post-platform security and privacy machine learning security systems protecting the web and mobile platforms are indicative of the future, IoT device makers will only be part of a larger security ecosystem. That’s because they will not have the data to train the AI machine learning models.  

    As a result, IoT post-platform security and privacy will become a layer on top of IoT device security. These five factors are why that will happen.

    1. Product developers underestimated IoT security

    In their race to market, product developers building for new platforms will underestimate the security and privacy features that should be built into their products. In some cases, this will be an act of commission, but most will be an act of omission because it is difficult to anticipate the vulnerabilities until the products reach the market at scale. Windows and mobile devices experienced something similar. They have been hardened, but earlier in their evolution they were an easy target for cyber criminals.

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    物联网隐私:建立安全文化的30种方式 星期四,2017年8月31日6时50分00秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

    Much work still must be done before the industrial and municipal Internet of Things (IoT) becomes widely adopted outside of the circle of innovators. One field, privacy, well understood by the public and private sector in the context of the cloud, PCs and mobile, is in the early stage of adaptation for the IoT.

    The sheer volume of data that will be collected and the new more granular architecture of the IoT present new privacy concerns that need to be resolved on an equal scale as the platform’s forecasted growth.

    A demonstration of this new aspect of privacy and compliance is the Privacy Guidelines for Internet of Things: Cheat Sheet, Technical Report (pdf) by Charith Perera, researcher at the Newcastle University in the U.K. The nine-page report details 30 points about implementing strong privacy protections. This report is summarized below.

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    使用物联网,以保持山。华盛顿远足安全,预测天气 星期三,2017年8月30日12:34:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森 <本文> <节课=“页面”>

    天气在华盛顿山在新罕布什尔可以圣经。有一次,我开始了清晨的四月上升与新鲜的雪在该基地。中旬的一天,我们剥去衣服我们基层当灿烂的阳光温暖了温度60°F。在6288英尺最高峰海拔,乌云封闭,气温下降,风回升。We ran for cover from lightning that had a very short distance to travel between the low clouds and the high peak to travel.

    After hiking the mountain a half-dozen times, in all seasons and all conditions, it’s interesting to learn how the Mount Washington Weather Observatory on the peak uses IoT to update weather conditions on this frequent hiker destination.

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    //m.banksfrench.com/article/3221246/using-iot-to-keep-mt-washington-hikers-safe-predict-weather.html
    这个未来的恶意软件疫苗可以保护不安全的物联网设备 2017年8月25日星期五09:33:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森 <本文> <节课=“页面”>

    物联网(IOT)设备淳朴和固定互联网不良的危险来到前与去年的未来DDoS攻击,涉及近百万机器人。许多这些设备仍然是一个威胁

    研究人员提出了一个原始的解决问题的办法:使用这些设备的漏洞注入白色蠕虫,确保了设备。It is an epidemiological approach that creates immunity with a vaccine by exposing the immune system to a weakened form of the disease.

    + Also on Network World: How to improve IoT security +

    These devices are still a threat because some cannot be fixed because they have hard-coded back doors. Other insecure devices have software or firmware vulnerabilities that cannot be fixed because product designers did not include a software updates mechanism.

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    //m.banksfrench.com/article/3219851/this-mirai-malware-vaccine-could-protect-insecure-iot-devices.html
    这个Linux工具可以提高物联网设备的安全性 星期四,2017年8月24日7时33分零零秒-0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

    The first rule of building a secure and feature-rich ecosystem is software management — push and pull software updates and software discovery through an app store mechanism from a trusted source.

    In the go-to-market IoT race, though, that often doesn’t happen. Many Internet of Things (IoT) product developers have ignored the traumatic early history of Microsoft Windows, Android and web platforms, and expoits of IoT devices — because software updates have not been designed in — are regularly reported.

    + Also on Network World: How to improve IoT security +

    Those earlier platforms have been hardened, updates have been automated, and the app discovery and installation have been made trustworthy. IoT developers need to follow their lead. 

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    //m.banksfrench.com/article/3219725/this-linux-tool-could-improve-the-security-of-iot-devices.html
    如何提高物联网安全 周一,2017年8月21日04:00:00 -0700 史蒂文·马克斯·帕特森 史蒂文·马克斯·帕特森

    The tsunami-sized trend to add intelligence with sensors and actuators and to connect devices, equipment and appliances to the internet poses safety, security and privacy risks.

    Proof comes from a recent meta-study titled The Internet of Hackable Things (pdf) from researchers at the Technical University of Denmark, Denmark; Orebro University, Sweden; and Innopolis University, Russian Federation—compiled from industry and academic research reports—that finds smart devices used in healthcare and smart homes and buildings pose daunting risks.

    The authors quantify the risks of Internet of Things (IoT) devices:

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