A very special yet belated birthday welcome goes out to Reiko Clara Copeland, the newest and youngest member of the BCmoney family.
Being due today – but arriving over a week early at approximately 8:20pm AST on Thursday, April 29th, 2015 – my daughter and second child Reiko Clara Copeland was born a healthy 3.03 kilograms (6 pounds 11 ounces) to Bryan Copeland and Nana (Kurata) Copeland. She was delivered safely at the maternity ward of the Moncton Hospital after a roughly 30 minute, and almost pain-free (compared to the first one according to my wife) delivery.
Rockin’ the “Bad to the Bone” shades her brother rocked before her…
This is the first revision of my quick and dirty Podcatcher (podcasting client).
It adds three new features:
- Ability to search for Podcasts by name (via iTunes API)
- Resolving the actual RSS feed URL from the Podcast ID
- Caching a copy of the RSS feed on the server in XML and only requesting updates if changes have been made
The last features I want to add in my next post will be the ability to arrange and sort multiple Podcasts you’ve “subscribed to” by dragging their “album art covers”, and . This little Podcatcher app would by then have pretty much the full capability of the native “Podcasts” app (official Podcatcher from Apple).
I’ve done quite a bit of research into Podcasting lately, particularly because they are making a comeback in popularity, far surpassing their original interest. There are a number of factors contributing to this resurgence, including:
The “Internet of Things” (or IoT) is an evolution of microprocessor engineering, sensor innovations, wireless communications technologies, and of course the Internet itself. An IoT “thing” could be any natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network. For example, inanimate objects (i.e. many cars have more built-in sensors than early NASA shuttles for doing everything from alerting the driver when tire pressure is low to regulating anti-lock breaking systems or airbag deployments during emergencies), animals (i.e. a wild animal tagged with biochip transponder to track position/population size or migration patterns) or people (i.e. an elderly person with a heart monitor device or any other implant or device which tracks health data). In all of the previous examples, “things” are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human, human-to-animal, or human-to-computer interaction. A major question of this Internet of Things is now what the “killer applications” will be. As in, what real-world problems will be solved, what efficiency improvements can be gained or which tangible benefits can be realized for the end user? By connecting more and more devices (thanks to the proliferation of IPv6 addresses, enough to give every atom on Earth’s surface a dedicated IP), we are of course creating more and more usage data, observational data and metadata about the interactions of these devices and users within the rest of the world, which has also placed even more importance on BigData. Certainly, a big part of IoT will be task automation (the absence of a user during operation of devices and their software), enabling devices to function more and more autonomously and theoretically freeing up users from manually entering commands via a command-line or clicking/tapping on controls within a user interface. Enter the service If This Then That (IFTTT), which enables you to “wire together” the capabilities of or otherwise integrate data from two disparate sources to accomplish a particular goal. Read the rest of this entry »
Announcing the availability of SkipSearch’s new Layer Player ALPHA version. This is still early days even though its a multi-year project for me, as I continue to work on this in my very rare spare time. This new feature will much more readily bring to light the capabilities of the recommendation engine built under the hood of SkipSearch (powered by OpenRecommender). With this release, SkipSearch is effectively moving from Alpha to Beta in 2015 and getting further and further from vaporware and inching slightly closer to being a legitimate full-blown, widely usable (and hopefully well-used) Web 3.0 application. Please take a moment to check it out, and sign up for the BETA if you haven’t already:
For comparison’s sake, here’s the architecture of a typical Web Crawler that powers most Search Engines:
BC$ = Behavior, Content, Money
The goal of the BC$ project is to raise awareness and make changes with respect to the three pillars of information freedom - Behavior (pursuit of interests and passions), Content (sharing/exchanging ideas in various formats), Money (fairness and accessibility) - bringing to light the fact that:
1. We regularly hand over our browser histories, search histories and daily online activities to companies that want our money, or, to benefit from our use of their services with lucrative ad deals or sales of personal information.
2. We create and/or consume interesting content on their services, but we aren't adequately rewarded for our creative efforts or loyalty.
3. We pay money to be connected online (and possibly also over mobile), yet we lose both time and money by allowing companies to market to us with unsolicited advertisements, irrelevant product offers and unfairly structured service pricing plans.