<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 07 Apr 2026 22:09:32 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/@mragic/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[Radon Monitoring and the Internet Of Things]]></title><description><![CDATA[Radon Radon (Rn) is a radioactive noble gas. It is created in the decay chains of Uranium and Thorium. All of its isotopes are radioactive, and has semistable decay products that emit alpha particles when]]></description><link>http://direct.ecency.com/radon/@mragic/radon-monitoring-and-the-internet-of-things</link><guid isPermaLink="true">http://direct.ecency.com/radon/@mragic/radon-monitoring-and-the-internet-of-things</guid><category><![CDATA[radon]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Wed, 02 Jan 2019 18:57:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/TZjG7hXReeVoAvXt2X6pMxYAb3q65xMju8wryWxKrsghkMaBygwBqBx9s8WgTuP75zPau1XTy4dXoiM1ACwURCAneZ7RXXNohbi2ovJaGsGPNnDa58dR23SQp1Uqb5hbwpxXZ5Fne5wUM4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to send sensor data from python to IOTA tangle with MAM]]></title><description><![CDATA[Currently, the client APIs for IOTA are still under heavy development. The most stable client for the masked authenticated messaging API (See e.g. is in javascript here: There might be a major update in]]></description><link>http://direct.ecency.com/iota/@mragic/how-to-send-sensor-data-from-python-to-iota-tangle-with-mam</link><guid isPermaLink="true">http://direct.ecency.com/iota/@mragic/how-to-send-sensor-data-from-python-to-iota-tangle-with-mam</guid><category><![CDATA[iota]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Wed, 02 Jan 2019 10:45:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iPUgjrv4vmPasg5u7Vn8Qr7ogqGuC9hdeSkWQH3quFMrPZraz9sq3tBggcogyMzQYtMjP3HXaZL?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to build a cat detector with a Raspberry Pi and a Pi Noir camera using Deep Learning - Part IV]]></title><description><![CDATA[Part I is here: Part II: Part III: Introduction In this part I will describe how we can deploy the model we trained in part III on the raspberry pi. You can then choose what you want to do when a cat is]]></description><link>http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-iv</link><guid isPermaLink="true">http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-iv</guid><category><![CDATA[raspberrypi]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Tue, 01 Jan 2019 17:26:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/5ShzsKnKF7vppGeV6VN3m3GSDcLoRruAhMmifZtFSDkYScsLm1eH5mHCrhJPdcXedAjhfQ7aEjofJKg7TgjfXRqDNajzAZRB9VtZKdMhfdUGkKMKDbbSCDZKSmDCooEo7u6sYn4A2CkZqBmjBfHT4x5k?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to build a cat detector with a Raspberry Pi and a Pi Noir camera using Deep Learning - Part III]]></title><description><![CDATA[Part I is here: Part II: Introduction In this part III I will describe how the the images taken in can be used to train a deep neural network to distinguish images with cats against images without cats.]]></description><link>http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-iii</link><guid isPermaLink="true">http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-iii</guid><category><![CDATA[raspberrypi]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Tue, 01 Jan 2019 13:32:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/21PRtjKRXPQybj4WUXScWv5QPLninWRxfbcWNsx7SenD7FpVNYXGdMz1wteQvuTM2CtSQzYHEH3SBJuQTVm65LXNLgpu9CJAr8YsLEpmMETFcuPwLE5J23s9wX7132fXDcHZx5BRoxWttKv9c72R62i?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to send ruuvitag sensor data to the iota tangle with mam using a raspberry pi 3]]></title><description><![CDATA[The IOTA tangle ( is a distributed ledger thought to be used for machine to machine economics. Compared to first and second generation distributed ledgers like bitcoin or ethereum, it does not use a]]></description><link>http://direct.ecency.com/iota/@mragic/how-to-send-ruuvitag-sensor-data-to-the-iota-tangle-with-mam-using-a-raspberry-pi-3</link><guid isPermaLink="true">http://direct.ecency.com/iota/@mragic/how-to-send-ruuvitag-sensor-data-to-the-iota-tangle-with-mam-using-a-raspberry-pi-3</guid><category><![CDATA[iota]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Tue, 25 Dec 2018 11:14:33 GMT</pubDate></item><item><title><![CDATA[How to build a cat detector with a Raspberry Pi and a Pi Noir camera using Deep Learning - Part II]]></title><description><![CDATA[Part I of the story is here: In this second part, we will create the train and test dataset needed later to train and test the deep neural network which will be able to distinguish if a cat is in a image]]></description><link>http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-ii</link><guid isPermaLink="true">http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-ii</guid><category><![CDATA[raspberrypi]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Sun, 27 May 2018 11:19:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/21PRtjKRXPQybj4WUXScWv5QPLninWRxfbcWNsx7SenD7Foe7aQWDvDLq9hNi5ANCEMxLGQeRtoWCxZTEHPfRYtwf3oNma8NWMdpoCTkZk3ABUKfNYEeEHLeVZm1mJcyvmb3wiX5P8wUG66Y5zNRLVt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to build a cat detector with a Raspberry Pi and a Pi Noir camera using Deep Learning - Part I]]></title><description><![CDATA[Having a garden in a neighbourhood with tons of cats has the disadvantage that these cats will leave too much fertilizer between my vegetables. Being a garden and Raspberry Pi enthusiast, I have already]]></description><link>http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-i</link><guid isPermaLink="true">http://direct.ecency.com/raspberrypi/@mragic/how-to-build-a-cat-detector-with-a-raspberry-pi-and-a-pi-noir-camera-using-deep-learning-part-i</guid><category><![CDATA[raspberrypi]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Wed, 23 May 2018 18:32:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/9vWp6aU4y8kyJM9JABQLS7EhjmU3VVqJQJsLWXdiCVLX6CphM8d1JSYRbRoqkqPAufqCU1UgHeUXR77YoEnBkzY5L6KUHNBQXHCYsh3HodKNYTgHZLf2PzFzmUYKfwQcC3EKgiZEmJML8iDVg?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Sheet Mulch: Turn Lawn into Vegetable Bed]]></title><description><![CDATA[Our house came with garden. Unfortunately, it was full of useless exotic plants. After cutting down those, there was still large areas covered in boring lawn. In order to turn the lawn into vegetable beds,]]></description><link>http://direct.ecency.com/gardening/@mragic/sheet-mulch-turn-lawn-into-vegetable-bed</link><guid isPermaLink="true">http://direct.ecency.com/gardening/@mragic/sheet-mulch-turn-lawn-into-vegetable-bed</guid><category><![CDATA[gardening]]></category><dc:creator><![CDATA[mragic]]></dc:creator><pubDate>Thu, 03 May 2018 14:20:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/54TLbcUcnRm4iYtFdzVNy1kt3F2tvRShXkTnWxjMsqpKQqSeVgyEH1ydWr4uk8ZbPpipAoWBqZEN5fLY5MfbRBawtB1dVfe9qtN5TJLCkAy4LMS6hoHaYo5Pvi1YMKELTrfqHiB82?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>