Dudette and Wichidude came over a week ago bringing Next Generation 1 and Next Generation 2 with them. We had a delightful time. Merriment was added by an item, that they had seen while shopping, and just had to buy for me. (This posting had to await arrival of a new battery for my old camera - the HP camera is the one that I use for close-up photography.)
Thank you Wichidude and Dudette - for thinking of me and for picking such a clever gift.
Googling the brand, I found a nutty review on You Tube (with guest appearance by a somewhat well-known physicist).
The reviewer tells us that The Fizzicist has a taste similar to Dr Pepper. I'm working up the nerve to try it. (I've drunk diet drinks for so many decades that I don't care for the taste of many sugar-sweetened drinks.)
Tehachap posted a silly little meme (which she called a list) that I am adapting, slightly. Thank you, Tehachap! Most of you could blow away a more sophisticated version, let alone this one.
My writing friend, Mage http://urban-archology.blogspot.com/ loves to respond to lists. I do on occasion… this one looked interesting so I’m copying and pasting and changing my answers where mine differ from hers. It’s fun — and you learn all sorts of things about your friends.
Fired a Gun x (I used to own my late father's rifle; now it's Bogie's.) Been Married X Fallen in love X Taken a dip in an ocean X
Swum a mile X Gone on a blind date Skipped school X (Only in college) Attended college X
Been to Canada X (Once - overnight business trip) Been to Europe Been to Las Vegas X (Only the airport while delivering an airplane to Monterey CA - no gambling) Been to Washington D.C. X Been to Nashville X Been to Florida X (Lived there for 2 years) Been to Asia
Been to Africa Been to South America Been to Antarctica Seen the Grand Canyon in person X (A fellow pilot and I took his wife and my kids for a flight over most of the length of the Grand Canyon - about 1980 - in a Cessna T210.)
Flown in a Helicopter (Got about 30 minutes of stick time in a small Bell; flew as maintenance crew on HH-46 over the Gulf of Mexico for about 3 or 4 hours.) Been on an ocean cruise Served on a jury (Called twice, but never served) Been in a movie Been to Los Angeles X (Worked there during the 1980s) Been to New York City X (Volunteered at the FEMA office for 5 days in 2007) Played in a band X (If you count a high school concert band - played bassoon) Piloted a boat X Made prank phone calls Laughed so much you cried X Caught a snowflake on your tongue Had children X Had a pet X
Been sledding on big hill X Been downhill skiing X Been snowboarding Been water skiing X Ridden on a motorcycle Jumped out of a plane X Been to a drive-in movie X Ridden an elephant Ridden a camel
Been on TV X Been in newspaper X Stayed in Hospital X (Only for births of Bogie and Dudette) Donated blood X Thrown a pot X (As in, making pottery) Painted a painting X Marched in protest Taught a class X Built a sculpture
Volunteered X Gained weight X Lost weight X Had a lot of fun X Gotten a piercing X (Ears pierced) Gotten a tattoo Driven a stick shift vehicle X (Nearly exclusively until about 10 years ago) Driven over 100 mph X (What's a highway for?) Been scuba diving Lived on your own X Got a speeding ticket X (Four each - each for 12 mph over the speed limit) Been on a winning softball team
Jewels from unwanted catalogs was posted about 23 months ago. Since then, more jewels have cropped up. I've tried not to duplicate entries from the original posting; but, if you see a duplicate, please accept it as one little hiccup in life!
Math: It's all fun and games until somebody divides by zero
There are two kinds of People: Those who can extrapolate conclusions from incomplete data
Some things one learns only through their children. One thing that I learned was the song "Little Bunny Foo Foo" (which I would previously have sworn was "Little Rabbit Foo Foo", but I digress). Without having heard that song, I would not have understood one of the cartoons in this mornings Wichita Eagle newspaper, below.
For those who have no children to educate them, here is a video of the song.
Can you tell a person’s gender from just a glimpse of their eyebrows? Could a computerised system do the same? To find out, a project was undertaken by Yujie Dong (of the Holcombe Department of Electrical and Computer Engineering, Clemson University) and Damon L. Woodard (now at the Biometrics and Pattern Recognition Lab, University of Florida) in 2011. The team used Minimum Distance Classifier (MD), Linear Discriminant Analysis Classifier (LDA) and Support Vector Machine Classifier (SVM) algorithms to extract eight eyebrow features from images (rectangularity, eccentricity, and isoperimetric quotient etc.) and were then able to determine a subject’s gender with an average accuracy of 96%
The previous article in this series drew attention to the possibilities offered by eyebrows in the field of automated computerised gender classification. But eyebrows are by no means the only choice available to classifiers. For a recent (2015) roundup of the options on offer, see the work of Yingxiao Wu, Yan Zhuang, Xi Long, and Feng Lin, ‘Human Gender Classification: A Review’ (in: IEEE Sensors Journal, epub 2015)
The team first outline the importance of the field:
“The aim of gender classification is to recognize the gender of a person based on the characteristics differentiating between masculinity and femininity. It is considered as the one of the most important application [sic] using pattern recognition method in the area of artificial intelligence.”
And then go on to list the currently documented possibilities. [See diag. above] They include: body, eyebrow, handshape, fingernail, gait, gesture, hairstyle, footwear, voice, blogging style etc etc.
To be concrete, the applications of a gender classification technique can be utilized in the following fields.
A. Human-Computer Interaction In the field of HCI , the robots or computers need to identify and verify the human gender to improve the system performance based on the personalized information. By successful determining the gender, the system can provide more appropriate and customized service for the customer by adapting to users according to their genders .
B. Surveillance System Classifying gender in surveillance system for public places (e.g., airport, train station, shopping mall) can serve to enhance the security such as counting the number of males and females, whose aim is to restrict access of people entering to certain areas. Another application is to assist the intelligent security and surveillance system to track moving object and detect abnormal behaviors. In addition, this can help better evaluate the threat level for a specific gender if the gender information can be obtained in advance .
C. Commercial Development Gender classification is useful for guiding effective marketing and establishing smart shopping environment, in which the production can be directed to specific users through websites, electronic marketing, advertising , etc. For instance, in a supermarket or department store, knowing the number of male and female customers helps the store managers to make efficient sales and managing decisions.
D. Demographic Research The application of a gender classification system helps the demographic research in efficiently collecting demographic information . Automatic identification of human gender enhances the demographic statistics (e.g. gender, disability status, race definition) and population prediction . The ability to automatically detect gender information acts as a supplementary method for existing demographic research on the web or in public places .
I am flummoxed. I can't recall who said it; but, about 40 years ago someone wrote to the effect that unless one wishes to have sex with another person, why should it matter what sex is the other person.
Through Slashdot.org, I went to a website, Twins or Not, uploading several sets of photos for analysis. I assume that the website uses photo-metrics, so I tried to upload sets of photos showing the people at roughly the same ages. (This wasn't possible for the younger generations - using the electronic files that I have on hand and found, easily.)
Don't ask me how Dudette and Bogie can be a 100% match (clones!), but Bogie resembles our granddaughter more than Dudette (Granddaughter's mother) does.
I don't show the photos but the analysis reported an 18% match between Hunky Husband and his father, which doesn't at all agree with observation by a human. Since my grandmother and Mother were related by marriage, the 86% match is astounding. My own best match by the program was to Elder Brother at 80%. I did note that a person's photos without eyeglasses produced slightly better results than with eyeglasses. I need to find a good photo of Dudette without her glasses.
Have you used a device similar to this one (image, below)? If so, you know what it is. If not, you can probably figure it out. I used one for 1.5 - 2.0 hours, today. Happy to be done with it - at least, for the moment!
Addition of 6/2/2015:
Here (photo, below) is the product of my having spent 45 minutes picking cherries, 90 minutes washing and pitting cherries, and about 20-30 minutes cooking them up enough to kill the enzymes and pouring them into jars. Note that there is plenty of space left in each 1-quart jar and that the jars are frosted. Instead of taking the time to process everything for canning, I froze the cherries.
This (photo, below) is the bountiful little North Start Cherry tree from whence came the cherries. BTW: I didn't pick even half of the cherries. I lose interest rather quickly. Last year, the birds got them all - I wasn't in town to do any picking.