This is the latex template for my PhD thesis.

Click the button above to view the complete essay, speech, term paper, or research paper

that is too much work) You are welcome to send me comments.

Hi good to see you back and blogging aeon! This was one of my favorite blogs back in the day. I look forward to moar poasts!
Sorry to hear that your friend is leaving eve 🙁 maybe he’ll change his mind now that CCP seem to be implementing a lit of positive changes.
Anyway, welcome back.

The template holds dummy text with examples for creating tables, figures, index and glossary.

Contact information is available on the main page.

Since DARPA Urban Challenge 2007 (DUC), the development of autonomous vehicles has attracted increasing attention from both academic institutes and the automotive industry. It is believed that autonomous vehicles sophisticated and reliable enough would redefine mobility. The motion planner and sensor simulation presented in this thesis are intended to contribute to this prospect. The task of a motion planner for autonomous on-road vehicles is to generate a trajectory of motions for the vehicle to follow. The proposed motion planner employs a state lattice to construct a large variety of candidate trajectories and selects the best constraint-abiding one based on a set of cost criteria. The parallel computer architecture of CUDA is exploited to construct and evaluate the trajectories efficiently. The spatial planning horizon of the proposed planner can contain multiple segments with different widths. This feature helps the planner to adapt to various road layouts easily and to generate more consistent plans. During the construction of the state lattice, acceleration profiles are associated with the path segments to generate trajectory segments. Acceleration cubic polynomials and constant accelerations are applied in the proposed planner. The adopted association scheme makes it possible to span one acceleration profile over several trajectory segments, which, together with the applied smooth acceleration profiles, helps to enhance the feasibility of the trajectories. In the construction of cost maps of obstacles for the evaluation of the trajectories, the obstacles need to be dilated to compensate for the vehicle shape. A novel approach is proposed to analyse the sufficiency of the dilation strategy implemented in this work from the perspective of excluding all the trajectories that are practically not traversable. The scanning sensors are also simulated to increase the realistic level of the simulation experiments. Programmable shaders in the rendering pipeline of OpenGL are manipulated to record sensor-related data. Such implementation takes advantage of the parallel computer architecture of the GPU and thus enhances the computational efficiency of the generation process of the simulated sensor data. A novel macro-micro approach is proposed which can increase the accuracy of the simulated sensor data. Finally, the proposed planner is evaluated in a variety of simulated traffic scenarios. Given proper guidances from a behaviour planning layer, the proposed planner can generate reasonable plans in most scenarios. Seit der DARPA Urban Challenge 2007 (DUC) bekommt die Entwicklung autonomer Fahrzeuge erhöhte Aufmerksamkeit aus der Forschung und aus der Automobilindustrie. Es wird vermutet, dass ausgereifte und zuverlässige autonome Fahrzeuge unsere Mobilität neu definieren würden. Der in dieser Arbeit vorgestellte Bewegungsplaner und die Sensorsimulation beabsichtigten zu dieser Entwicklung beizutragen. Die Aufgabe eines für autonomes Fahren geeigneten Bewegungsplaners ist es, eine Trajektorie…

Last time I tried to compile this template was in May 2013 and it worked with these caveats:

Not much to say here – with my skills it is cap stable without the AB/Salvager/Tractor. Could use some better modules – a ship like this deserves investing, especially tank wise and cap support wise (think T2 CCC rigs).

The template should work with MikTeX, but all problem reports have been from MikTeX users, only.

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What I did not anticipate however, was that flying this ship announced the end of a great chapter in my EVE life. Indeed, Serotta had been unsatisfied with CCP’s vision for EVE for a while now, and a few days later along with a new client patch, he decided to quit EVE. You can read , I understand his reasons completely. It had been a long time in coming, I know he was trying to revive his interest in the game – but in retrospect, attempting this in the middle of Incarna and a series of controversial updates was not an ideal time. As usual your mileage varies, so far I have not had many client crashes, and my play style does not touch much on the big issues being discussed.

Please take a look at the sample code below:

– 946 DPS / 3646 volley with Hammerhead drones (791 without)
– 461 sustained tank. 86k EHP
– 321 m/s with AB (118 without)
– Resists: 76,5% / 81,2% / 40% / 50%

Wanna submit your own abstract? I'll only take a minute!

Small Tractor Beam I
Salvager II
Mega Pulse Laser II, Imperial Navy Multifrequency L
Mega Pulse Laser II, Imperial Navy Multifrequency L
Mega Pulse Laser II, Imperial Navy Multifrequency L
Mega Pulse Laser II, Imperial Navy Multifrequency L

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Domination Large Shield Booster
Photon Scattering Field II
Photon Scattering Field II
Heat Dissipation Field II
Heat Dissipation Field II
Republic Fleet 100MN Afterburner
Gist A-Type Shield Boost Amplifier

In CSS we specify the following IE specific thing:

Dubbed the “HMS Serotta”, the ship proved to be everything I expected it to be: a beast. It pretty much rivals the in both tank and DPS. It cannot beat the Paladin, but that’s not the point – flying into a mission with it just feels awesome. If you are into role playing your characters occasionally, you cannot pass up on the scene of that behemoth warping into a bunch of NPCs and leaving a trail of smoking wrecks in its wake. If looks could kill, this thing would surely leave a few enemy pod pilots dead from shock on the battlefield.