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Category: Geeky Tech Science

Loving My New Computer!

Loving My New Computer!

Got a fantastic package deal – it’s worth haggling a little at Best Buy! W00T!

Dell Inspiron i530-111B

  • Intel Core2 Q9300 Quad-Core Processor (6MB L2 cache, 2.5GHz, 1333 FSB)
  • 6GB Dual Channel DDR2 SDRAM Memory at 667MHz – 4 DIMMS (2x2GB, 2x1GB)
  • 750GB Hard Drive (7200 RPM)
  • DVD+/-RW (Plays and writes CDs and DVDs)
  • 256MB ATI Radeon HD 2600 XT
  • Integrated 7.1 Channel Audio/Dell Speakers
  • 19-in-1 Media Card Reader
  • USB Keyboard and Mouse

Samsung 22″ Wide-Screen Monitor

This was thrown in so they could call it a package deal:

Canon PIXMA MP470 All-in-One Printer, 22 PPM, 4800×1200 DPI, Color

And I got an HP webcam too.

It just barely topped the limit required to get 2-year no interest financing. I’ll pay it off in 6 months or so.

Of course, I was home with everything opened before I remembered that I could have saved a bit of money if I had been able to wait until the tax holiday at the end of the month…. nah!

The system comes with Vista Home Premium installed, and so far it’s fine. I bought WinXP Professional a few days ago, but I may stay with Vista for while and see how it goes.

Reader Suggestions?

Reader Suggestions?

Some questions – would love it if you have advice.

1) So, I blew a couple of capacitors on my motherboard and now I’m looking for a deal on a new computer. I’d like a dual- or quad-core processor and 2-4G RAM and lots of disk space. I also need a monitor because mine is snapping and crackling and it’s only a matter of time. A built-in webcam would be kind of neat, too. Post links if you happen to see anything. No Celeron anything.

2) To keep myself busy this weekend, I purchased a pressure washer and started in on the layers of mold and other crud on the deck. It was like painting a house with a calligraphy brush. I spent… oh… six, seven hours on the first pass – just with water. I don’t want to use bleach on wood, and I also want to protect the plants and the fish in the pond, but I also want to kill the mold. Recommendations?

3) Besides monkeygrass and pachysandra and vinca, what other groundcovers do well in drought, and on a hillside, and in scorching sun or mildrew-y shade?

4) What color should I paint a room that has orange couches in it? No yellow.

5) Is this a really bad time in Atlanta to trim back azaleas and other shrubbery, or can I do my Kali dance with the hedge-clippers?

Yellow Sky Over Atlanta

Yellow Sky Over Atlanta

I had just finished writing the first draft of my post below, and a dear dear friend called me just as the wind started up. We got off the phone a little bit before 8, and the rain began. I ran out to pick up a couple of things, came back, and was just starting to have a bite to eat when John and I both noticed that the sky had turned a very eerie shade of yellow. The sun was starting to set, but I don’t remember seeing sky that color before – or seeing clouds like that either. The rain had stopped, and so had the wind, but the sky made me think of tornadoes.

Here’s what it looked like at about 8:45 or so:

Atlanta Sky 1

Atlanta Sky 2

Atlanta Sky 3

Atlanta Sky 4

Atlanta Sky 5

It’s already June 30th now – I have to go to sleep! – but the data is for the 29th.

Everything seemed wild tonight.

Time 68° humidity Pressure Visibility Ceiling Wind /td>

Weather
8:52 PM 68° 93% 30.03in 10mi 5500ft SW-9mph Broken Clouds
8:30 PM 66° 94% 30.03in 10mi 25000ft SW-8mph Broken Clouds
8:06 PM 70° 88% 30in 7mi 3600ft N-5mph Overcast Thunderstorm
7:56 PM 68° 88% 30in 2mi 3300ft S-8mph, Gusts 38mph Overcast Thunderstorm
6:52 PM 79° 69% 29.97in 10mi 4000ft SSW-19mph, Gusts 25mph Broken Clouds Thunderstorm

Wow! The air quality went crazy! Look at that carbon monoxide burst! Did something happen?

Today’s AQI (Primary Pollutant) for Metropolitan Atlanta

Hourly Atlanta Air Quality

1-8 9-16 17-24
01 43 (PM25 ) 09 44 (PM25 ) 17 128 (CO )
02 43 (PM25 ) 10 45 (PM25 ) 18 206 (CO )
03 43 (PM25 ) 11 45 (PM25 ) 19 236 (CO )
04 31 (PM25 ) 12 47 (PM25 ) 20 268 (CO )
05 31 (PM25 ) 13 48 (PM25 ) 21 53 (PM25 )
06 44 (PM25 ) 14 50 (PM25 ) 22 53 (PM25 )
07 44 (PM25 ) 15 52 (PM25 ) 23 53 (PM25 )
08 44 (PM25 ) 16 66 (CO ) 24 53 (PM25 )

Carbon Monoxide (CO) is an odorless, colorless gas that is a by-product of the incomplete burning of fuels. Industrial processes contribute to CO pollution levels, but the principal source of CO pollution in most large urban areas is the automobile. Cigarettes and other sources of incomplete burning in the indoor environment also produce CO. CO is inhaled and enters the blood stream; there it binds chemically to hemoglobin, the substance that carries oxygen to the cells, thereby reducing the amount of oxygen delivered to all tissues of the body. The percentage of hemoglobin inactivated by CO depends on the amount of air breathed, the concentration of CO in air, and length of exposure; this is indexed by the percentage of carboxyhemoglobin found in the blood.

Health effects
CO weakens the contractions of the heart, thus reducing the amount of blood pumped to various parts of the body and, therefore, the oxygen available to the muscles and various organs. In a healthy person, this effect significantly reduces the ability to perform physical exercises. In persons with chronic heart diseases, these effects can threaten the overall quality of life, since their systems are unable to compensate for the decrease in oxygen. CO pollution is also likely to cause such individuals to experience angina during exercise. Adverse effects have also been observed in individuals with heart conditions who are exposed to CO pollution in heavy freeway traffic for 1 to 2 hours or more.

In addition, fetuses, young infants, pregnant women, elderly people, and individuals with anemia or emphysema are likely to be more susceptible to the effects of CO. For these individuals, the effects are more pronounced when exposure takes place at high altitude locations, where oxygen concentration is lower. CO can also affect mental function, visual activity, and alertness of healthy individuals, even at relatively low concentrations.

Air quality levels
The air quality standard for CO, which is designed to protect public health with an adequate margin of safety, is 9 parts per million, averaged over 8 hours. EPA is required to issue a public alert when CO levels reach 15 ppm, a public warning when CO levels reach 30 ppm, and a public declaration of emergency at the level of 40 ppm. The significant harm level, at which serious and widespread health effects occur to the general population, is 50 ppm of CO.

–Condensed from Measuring Air Quality: The Pollutant Standards Index; Office of Air Quality Planning and Standards, US EPA; EPA 451/K-94-001; February 1994. Cited at http://www.air.dnr.state.ga.us/information/co.html.

The same site listed today’s air as healthy.

Health Advisory: The air quality is good and you can engage in outdoor physical activity without health concerns.

At the Semantic Technology Conference

At the Semantic Technology Conference

Many more of my questions about semantic technologies and their applications have been answered in the last couple of days. There were a couple of outstanding sessions today, but even more helpful were the informal conversations taking place all around the conference area.

I think I’ll probably have to make a distinction between long-term interoperability modeling goals and short-term projects that address specific needs. I’ve got a lot more resources to add to my toolbox now, and a better understanding of the context and history of what’s happening with this kind of technology. It turns out that there is also an academic version of this conference, and a few publications, so I can probably start to follow some of the wider theoretical questions there. For what I need to do, I’ll have to be more practical.

I helped out at an informal book signing today. One of the authors had just finished an excellent presentation (two perspectives on ontology – big O and little o – “the Two Towers” – {grin}) and he was tied up in conversation. Meanwhile, the other author was trying to swipe credit cards and make change and sign books to each person. There was a long line of people waiting, so I jumped in and took care of the selling transactions so that he could just sign the books. I don’t think they expected such a response – two boxes of books sold out rather quickly. The book looks very helpful. Check it out at Amazon:



I had intended to blog on the conference in more detail, but I’m too tired. These have been long days – worthwhile, but tiring.

Semantic Tech Notes

Semantic Tech Notes

I’m participating in the Semantic Technology conference in San Jose California this week. Already, it has been a very rewarding experience.

I’ve met some very talented and generous people here. They’ve pointed me to a number of tools and methods for creating relationships among different kinds of systems, working with legacy databases, designing ontologies, and displaying results. I’m very happy to see that some open-source solutions are available, but I think that my first foray into this world will have to be very limited in scope. There seems to be far too much work to do, and too many steps, to get basic relationships extracted and displayed. Despite my wider interests, I’m really going to have to limit the scope of my projects to what truly needs to be connected in order to leverage the information in some useful way. There were good cautions here in that regard, and I can see the inherent dangers of the lure of the “absolute librarian” position. Group brainstorming sessions – although a new word is needed for that – would give direction on the kinds of questions that need to be answered by linking data across unlike systems.

I’m still considering what resources might be available for what I think of as conceptually leaky terminology. I’ll be working with a folksonomy – a bottom-up, natural language approach – rather than imposing my own terminological standards. It’s one thing to organize a closed referential domain, but I’m going to need something more sophisticated than shopping cart categories. It’s got to be much more than Aristotle and Dewey. I haven’t seen too much technology yet that takes slippery or leaky definitional boundaries into account, or that uses natural language structures to extract and relate language objects that are similar, but not identical. How would one deal with nuanced vocabulary, textured language, figurative structures? I hope to get some hints on that as the conference marches on, because I’m hoping to do more than establish graphed predicate relationships between nouns. Even if it’s only for my own interests rather than a specific application, eventually I’m going to want adjectives and adverbs (as it were).

Another concern I have is how to deal with multi-layered access controls. If some people can see some kinds of information and not others, what are the best practices for structuring appropriate security layers? I’ve got some suggestions on different methods for doing that – using policy rules, qualifiers, attributes, maybe even roles. I want something that doesn’t require a lot of housekeeping.

I was hoping to see more in the way of cutting-edge research, but that may be my academic bias showing. This would be fertile terrain for autonomous agents, learning engines, methods gleaned from artificial intelligence research – but maybe it’s still too early for that. I’m not really very interested in programming. I want to see applications that do the dreary work once there is a conceptual model – even if it’s only a skeleton such as what I’ve seen so far – I’d rather spend my energy with the muscles and blood flows and immune systems and even the external costuming (how far can I push that body metaphor? I think that’s it for now… maybe the old vine reference is better, especially given the fondness here for the example of wine).

What about perspectival, role-based approaches? There are so many kinds of rhetoric and realms of discourse. Call it technically-precise language or call it jargon, what an executive calls something may not be the same as what the salesperson calls it, or the UNIX admin calls it, or the marketer calls it, or the client calls it… I haven’t seen anything that addresses that issue at all yet, but it’s a powerful reason to start with collaborative identifications such as basic tagging.

This conference really is a great opportunity for me to learn a lot in a very short time about a field that interests me (and for which I have immediate application). The people who work in semantic technology are very, very bright, and it’s been very rewarding so far. I still have a few more days here, so it may be that many of my questions will be answered or at least debated. I’ll return to Atlanta with a great little toolbox in any case. I can’t wait to start playing with some of this stuff.

The exhibit booths open tonight – I’ll be interested to see what’s out there.

Hired!

Hired!

I have a new job!

Starting Monday, I’ll be Technical Documentation Administrator at an internet security company here in Atlanta.

Woo-hoo!