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Half-orc offspring plots his next move. Dad has lured artist son into painting hordes of minis in exchange for college tuition. Intention is for him to be the first Orc college graduate.
Soldier's Plot in National Cemetery #2 In Baxter Springs Kansas. The soldier's plot in this cemetery was designated by the federal government after the Civil War on ground donated by the city for that purpose. It is under the jurisdiction of the National Cemetery Plot in Ft. Scott. The soldier's monument was erected in the spring of 1870 and the bodies of the victims of the attack on the fort and the massacre were reinterred in a common grave. Names of the 88 victims are engraved on the monument. The fence surrounding the plot is made of cannon barrels protruding from the ground. Originally, cannon balls were mounted on each barrel.
Natural Resources Conservation Services has planted several pollinator plots across the state. The idea is to have flowering plants as early in the spring and late in the fall as possible. There are two plots near Elkhart Iowa. Looking at the image for ISU's Pollinator plot you can see some difference in the plant mix but the same end result. Taken 9/19/18
Sony A100
Sony 3.5-5.6/18-70
00:00:02 up 5 days, 5:19, 0 users, load average: 1.15, 0.79, 0.75 | temp=41.2'C | Start
00:00:09 up 5 days, 5:19, 0 users, load average: 1.74, 0.93, 0.80 | temp=41.7'C | SID plot Finished
17:00:01 up 9 days, 15:45, 0 users, load average: 0.61, 0.62, 0.67 | temp=44.4'C | Start
17:00:09 up 9 days, 15:45, 0 users, load average: 0.91, 0.68, 0.69 | temp=44.4'C | SID plot Finished
Today's picture is a screenshot of some graphs on my computer. Not the most exciting shot, but a pretty accurate picture of my day!
I shouldn't get lost this time! Using a piece of software called Gartrip, I plotted over 100 way points onto my GPS, directly from the trail marked out on an Ordnance Survey map. These way points formed a route, so that my GPS should be able to point me directly along the path at least according to the maps. In addition, I took my usual map bag and compass.
The Weavers Way is very different from the Peddars Way. It is far from straight, and takes lots of turns. They are marked, but its so easy to miss a little disc.
Did I get lost today? Despite the GPS, I did take a few wrong turns on the marshes, as the trail was so faint - but at least the GPS quickly informed me so I could turn back.
Massillon Cemetery Association Plot Records c.1860s-c. 1900s
Collection Massillon Museum
Gift of the Massillon Cemetery Association (75.54.2)
Good Friend Andy and I ploting our groups next route:-) Looking for Fun! My Brother Tommy took this picture!
The Skipper demonstrating that one does not need to be the right way up in order to plot a course through the busy shipping lanes of the English channel. That sort of lame ass landlubber behaviour is left behind in Portsmouth!
The Solent, Easter, 2009
Canon Eos 40D + Sigma 10-20mm
18:00:02 up 33 days, 23:53, 0 users, load average: 0.30, 0.34, 0.38 | temp=42.2'C | Start
18:00:12 up 33 days, 23:54, 0 users, load average: 0.70, 0.43, 0.41 | temp=42.8'C | SID plot Finished
14:00:01 up 9 days, 20:31, 0 users, load average: 0.29, 0.59, 0.69 | temp=42.8'C | Start
14:00:09 up 9 days, 20:31, 0 users, load average: 0.51, 0.63, 0.70 | temp=43.3'C | SID plot Finished
Here, we aim at measuring the IP-level neighborhood of internet core routers in a rigorous way.
We proceed as follows. First, we send traceroute probes from many monitors distributed in the internet towards a given target router. Then we consider the last but one IP adress of each traceroute measurement as a neighbor of the target.The underlying idea is that, if we use sufficiently many monitors, distributed enough on the internet, then we will discover all the neighbors of the target.
However, because of erroneous information delivered by traceroute, we may also discover fake neighbors.For instance, if there exist two paths m-a-b-c-t and m-a-d-t from monitor m to target t, the discovered path may be m-a-b-t if traceroute probes follow twice the first path then the second one. In this case, we see b as a neighbor of t, which is a mistake.
The appearance of such fake neighbors is due to routing dynamics, which often occurs because of load balancing. See also this video and this one.
Notice however that, if all paths have the same length, the fact that traceroute may mix different routes does not lead to observation of fake neighbors anymore.
We therefore send several probes from each monitor to the selected target and discard monitors from which we observe routes of different length.One question rises: will there be enough monitors left to discover all the neighbors of the target?
For the above plot, we conducted a measurement involving 477 monitors and 8071 random targets. Each traceroute from each monitor to each destination is repeated 10 times. For each destination, we computed the number of monitors whose routes to this destination all have the same length, and we plotted the cumulative distribution of this value. In other words, a point with coordinates (x,y) means that exactly x targets obtained all traceroutes with the same length from y monitors or less.
The plot shows that only 980 targets out of 8 071 (roughly 12%) have less than 350 monitors producing all its traceroute of the same length. Using simulations (not presented here), we have provided strong evidence that such a number is large enough to discover all neighbors of the target, as long as the degree of the target is not too high (typically 50 or less). Thus, our method is able to produce complete and exact neighborhood of most of core routers, and it is robust to routing dynamics.
11:00:02 up 4 days, 16:19, 0 users, load average: 0.52, 0.61, 0.66 | temp=41.2'C | Start
11:00:10 up 4 days, 16:19, 0 users, load average: 0.74, 0.66, 0.68 | temp=42.2'C | SID plot Finished
On a P2P system, users submit keyword-based queries to a search engine. Someof them request paedophile content. This plot gives the distribution of thenumber of paedophile keywords contained in the queries sent to an eDonkeyserver during a ten-week experiment [1]. We plotted the number of paedophilekeywords on the x-axis and the number of queries containing this exact numberof paedophile keywords on the y-axis, using a logarithmic scale. A set of 21paedophile keywords has been gathered in a preliminary study [2], theysupposedly are tags for unambiguous paedophile content. Over the 127 millionqueries that were gathered, slightly more than 115,000 of them were identifiedas "paedophile" (i.e. they contain at least one paedophile keyword).
One observes that most paedophile queries (95,8%) have only one paedophilekeyword and 99,5% contain 3 or less keywords. This observation leads us tocarefully investigate the underlying notions around this plot : "what is a paedophile query?", and "what is a paedophile user?". Moreover, there are more interesting questions such as "is there a maximum number of paedophile keywords above which a query should be considered as submitted by a non-human user?", "Are there some combinations of our keywords that are used to search for non-paedophile content?".
In our work, we aim at counting the number of paedophile users on this server. One should notice that the definition of apaedophile query has a high impact on the figure given.
There were 50,801 IPs which made at least one paedophile query (that containsone paedophile keyword at least) during the experiment. The table below shows the number of different IPs which submittedqueries containing exactly N paedophile keywords in the second column. In the last column, IPs that may be counted into several categories are removed, an IP is not counted twice or more.
KeywordsNumber of different IPsNumber of different IPs, doubles removed149739483892180370936032304211775479654107191831910
The differences between the second and third column show the importance of the definition of a paedophile user on the results.The difference between the total number of paedophile IPs and the sum of the last column -- 49426 -- shows that only a small fraction (1375, which is 2.7% of the total) of paedophile IPs submitted queries with a different number of keywords. Our future work will investigate combinations of keywords.
[1] : Ten weeks in the life of an eDonkey server, F. Aidouni, M. Latapy and C. Magnien, Proceedings of HotP2P'09, 2009.
[2] : First report on Database Specification and Access including Content Rating and Fake Detection system, M. Latapy, C. Magnien and G. Valadon, submitted, 2008.
The Plot 101 Panel, offering advice to aspiring writers, taking place in the foyer of the Ether conference venue.
Panellists, from the left, between the two audience members:
David Witteveen (in front of the whiteboard), Amanda Pillar, Richard Harland (in the hat) and Trudi Canavan.
Continuum 9 Science Fiction Convention.
Melbourne, Victoria, Australia