In my last post i talked about an ImagesLoader that holds a map of the bitmapdata copied from any images loaded into an offscreen buffer. Well, i thought that was well and good, but i started thinking about collision detection between two bitmaps. Take for instance the “load and chop” of a strip of sprite states. Since it does a check on the dimensions of the image loaded and just divides by the number of states (columns and rows) specified, each state has the same width and height.
That’s fine if you’re running a collision detection based on movieclip bounds, but the state of a sprite can have a fair amount of empty (tranparent) pixels within the bounding rectangle detected from the movieclip it’s attached to (using mc.getBounds()). What if you want to run a collision of something hitting any opaque pixels in the sprite and not use the bounding box of the mc?
Well, i whipped up a quick little class that will do that.
You can view it here
(just click and drag the little colbys).
Sorry i couldn’t put it on the page, there seems to be a problem with loading images into a flashObject embedded in this page.
This is a pretty “lite” example since it’s only checking three objects during onMouseMove, but you can see how it works, and in theory you wouldn’t run this detection process unless sprites were in a certain area of each other.
After i clean up my code and make a better example i’ll throw the source up here, but i’ll show you some things it’s doing.
Before it goes into the process of checking pixel transparencies between two sprites, it runs the age old
if( ay2 < by1 ||
ay1 > by2 ||
ax2 < bx1 ||
ax1 > bx2)
{
return false;
}
operation (where ay1 is mc1._y, ay2 is mc1._height, and the b’s are the same but with other movieclip). If that returns, the two sprites being checked don’t overlap, so we don’t even bother going on to check if it’s only transparent pixels that are overlapping.
If that doesn’t return, it goes on to determine the rectangle of intersection, from which it derives what pixels to check in each bitmapdata instance.
It runs the alpha check with this operation:
var aVal:Number = ((bmpData.getPixel32(x, y) >> 24) & 0xFF);
If that shows up as 0, it’s transparent. I stink at techinical explanations, so if you want to learn about this visit this article by Grant Skinner – Using Bitwise Operators to Manipulate Bits and Colors, but it’s basically checking for any similar bits between the alpha channel of the pixel and 0xFF.
I’d also like to point out Grant Skinner’s great example of Shape-Based Collision Detection, if you haven’t already seen it.


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October, 2016
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I love building things on web. I constantly read, learn and relearn things about it. I have built a few web and mobile apps over my dev career. I know a thing or two about them. Connect with me on any of below platforms to know more.
I love building things on web. I constantly read, learn and relearn things about it. I have built a few web and mobile apps over my dev career. I know a thing or two about them. Connect with me on any of below platforms to know more.


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- selectPiece(Coordinate) - Method in class javacheckers.model.Board
-
Get the piece at the given board coordinate
- send(Object) - Method in class javacheckers.networking.Client
-
Add a message to the queue to be sent to the host.
- sendMove(Move) - Method in class javacheckers.controller.GameController
-
Send the given move to the server
- sendToAll(Object) - Method in class javacheckers.networking.Host
-
Sends a specified Object as a message to all connected clients.
- sendToOne(int, Object) - Method in class javacheckers.networking.Host
-
Sends a specified Object as a message to the client with the specified ID.
- serverShutdown(String) - Method in class javacheckers.networking.Client
-
Called when the connectino to the host is shutdown because the server is shutting down.
- setAutoreset(boolean) - Method in class javacheckers.networking.Client
-
Set the autoreset property, which determines if output streams will be reset before every transmission.
- setAutoreset(boolean) - Method in class javacheckers.networking.Host
-
If autoreset is set to true, all output streams will be reset before each transmission.
- setChainMove(boolean) - Method in class javacheckers.model.Move
-
- setPreviousMove(Move) - Method in class javacheckers.model.Move
-
- setUsername(String) - Method in class javacheckers.controller.GameController
-
Set the local player's username
- setUserName(String) - Method in class javacheckers.controller.JoinGameMenuController
-
Set this user's username
- showGameEndDialog() - Method in class javacheckers.controller.GameController
-
Show a dialog box displaying the winner of the game
- showInvalidHostDialog() - Method in class javacheckers.controller.JoinGameMenuController
-
Displays an error box if the selected host is not valid for some reason
- showOpponentDisconnectDialog() - Method in class javacheckers.controller.GameController
-
Show a dialog displaying that the opponent has been disconnected from the server
- shudownHost() - Method in class javacheckers.networking.Host
-
Disconnect all currently connected clients and stop accepting new clients.
- shutdown() - Method in class javacheckers.networking.BroadcastReceiver
-
Shutdown the broadcaster
- shutdownServerSocket() - Method in class javacheckers.networking.Host
-
Stops listening without dropping connections.
- SQUARE_SIZE - Static variable in class javacheckers.controller.GameController
-
- start(Stage) - Method in class javacheckers.view.Main
-
- startBroadcastReceiver() - Method in class javacheckers.controller.JoinGameMenuController
-
Start the broadcast receiver to start detecting active hosts
- startClient(String) - Method in class javacheckers.controller.GameController
-
Start the client connection to the host
- startGame(String) - Method in class javacheckers.controller.GameController
-
Start the game
- startHost(String) - Method in class javacheckers.controller.GameController
-
Start the host for the game
- switchCurrentUser() - Method in class javacheckers.model.Board
-
Switch the current user to the opposing user


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The Hunchback of Notre Dame
by Victor Hugo
Book Sixth, Chapter 4
Additional Information
- Year Published: 1831
- Language: English
- Country of Origin: France
- Source: Hapsgood, I., trans. (1831). The Hunchback of Notre Dame. New York: Carey, Lea, and Blanchard.
-
Readability:
- Flesch–Kincaid Level: 12.0
- Word Count: 3,520
- Genre: Romance
- Keywords: culture, fate, love, loyalty
- ✎ Cite This
Downloads
These words were, so to speak, the point of union of two scenes, which had, up to that time, been developed in parallel lines at the same moment, each on its particular theatre; one, that which the reader has just perused, in the Rat–Hole; the other, which he is about to read, on the ladder of the pillory. The first had for witnesses only the three women with whom the reader has just made acquaintance; the second had for spectators all the public which we have seen above, collecting on the Place de Greve, around the pillory and the gibbet.
That crowd which the four sergeants posted at nine o'clock in the morning at the four corners of the pillory had inspired with the hope of some sort of an execution, no doubt, not a hanging, but a whipping, a cropping of ears, something, in short,—that crowd had increased so rapidly that the four policemen, too closely besieged, had had occasion to "press" it, as the expression then ran, more than once, by sound blows of their whips, and the haunches of their horses.
This populace, disciplined to waiting for public executions, did not manifest very much impatience. It amused itself with watching the pillory, a very simple sort of monument, composed of a cube of masonry about six feet high and hollow in the interior. A very steep staircase, of unhewn stone, which was called by distinction "the ladder," led to the upper platform, upon which was visible a horizontal wheel of solid oak. The victim was bound upon this wheel, on his knees, with his hands behind his back. A wooden shaft, which set in motion a capstan concealed in the interior of the little edifice, imparted a rotatory motion to the wheel, which always maintained its horizontal position, and in this manner presented the face of the condemned man to all quarters of the square in succession. This was what was called "turning" a criminal.
As the reader perceives, the pillory of the Greve was far from presenting all the recreations of the pillory of the Halles. Nothing architectural, nothing monumental. No roof to the iron cross, no octagonal lantern, no frail, slender columns spreading out on the edge of the roof into capitals of acanthus leaves and flowers, no waterspouts of chimeras and monsters, on carved woodwork, no fine sculpture, deeply sunk in the stone.
They were forced to content themselves with those four stretches of rubble work, backed with sandstone, and a wretched stone gibbet, meagre and bare, on one side.
The entertainment would have been but a poor one for lovers of Gothic architecture. It is true that nothing was ever less curious on the score of architecture than the worthy gapers of the Middle Ages, and that they cared very little for the beauty of a pillory.
The victim finally arrived, bound to the tail of a cart, and when he had been hoisted upon the platform, where he could be seen from all points of the Place, bound with cords and straps upon the wheel of the pillory, a prodigious hoot, mingled with laughter and acclamations, burst forth upon the Place. They had recognized Quasimodo.
It was he, in fact. The change was singular. Pilloried on the very place where, on the day before, he had been saluted, acclaimed, and proclaimed Pope and Prince of Fools, in the cortege of the Duke of Egypt, the King of Thunes, and the Emperor of Galilee! One thing is certain, and that is, that there was not a soul in the crowd, not even himself, though in turn triumphant and the sufferer, who set forth this combination clearly in his thought. Gringoire and his philosophy were missing at this spectacle.
Soon Michel Noiret, sworn trumpeter to the king, our lord, imposed silence on the louts, and proclaimed the sentence, in accordance with the order and command of monsieur the provost. Then he withdrew behind the cart, with his men in livery surcoats.
Quasimodo, impassible, did not wince. All resistance had been rendered impossible to him by what was then called, in the style of the criminal chancellery, "the vehemence and firmness of the bonds" which means that the thongs and chains probably cut into his flesh; moreover, it is a tradition of jail and wardens, which has not been lost, and which the handcuffs still preciously preserve among us, a civilized, gentle, humane people (the galleys and the guillotine in parentheses).
He had allowed himself to be led, pushed, carried, lifted, bound, and bound again.  He was known to be deaf; one might have pronounced him to be blind.
They placed him on his knees on the circular plank; he made no resistance. They removed his shirt and doublet as far as his girdle; he allowed them to have their way. They entangled him under a fresh system of thongs and buckles; he allowed them to bind and buckle him.
"The dolt," said Jehan Frollo of the Mill, to his friend Robin Poussepain (for the two students had followed the culprit, as was to have been expected), "he understands no more than a cockchafer shut up in a box!"
 During this gayety, a man in the livery of the city, short of stature and robust of mien, mounted the platform and placed himself near the victim. His name speedily circulated among the spectators. It was Master Pierrat Torterue, official torturer to the Châtelet.
He began by depositing on an angle of the pillory a black hour–glass, the upper lobe of which was filled with red sand, which it allowed to glide into the lower receptacle; then he removed his parti–colored surtout, and there became visible, suspended from his right hand, a thin and tapering whip of long, white, shining, knotted, plaited thongs, armed with metal nails. With his left hand, he negligently folded back his shirt around his right arm, to the very armpit.
In the meantime, Jehan Frollo, elevating his curly blonde head above the crowd (he had mounted upon the shoulders of Robin Poussepain for the purpose), shouted: "Come and look, gentle ladies and men! they are going to peremptorily flagellate Master Quasimodo, the bellringer of my brother, monsieur the archdeacon of Josas, a knave of oriental architecture, who has a back like a dome, and legs like twisted columns!"
And the crowd burst into a laugh, especially the boys and young girls.
At length the torturer stamped his foot. The wheel began to turn. Quasimodo wavered beneath his bonds. The amazement which was suddenly depicted upon his deformed face caused the bursts of laughter to redouble around him.
All at once, at the moment when the wheel in its revolution presented to Master Pierrat, the humped back of Quasimodo, Master Pierrat raised his arm; the fine thongs whistled sharply through the air, like a handful of adders, and fell with fury upon the wretch's shoulders.
Quasimodo leaped as though awakened with a start. He began to understand.  He merely turned his head backward, to the right, then to the left, balancing it as a bull does who has been stung in the flanks by a gadfly.
A second blow followed the first, then a third, and another and another, and still others. The wheel did not cease to turn, nor the blows to rain down.
Soon the blood burst forth, and could be seen trickling in a thousand threads down the hunchback's black shoulders; and the slender thongs, in their rotatory motion which rent the air, sprinkled drops of it upon the crowd.
Quasimodo had resumed, to all appearance, his first imperturbability. He had at first tried, in a quiet way and without much outward movement, to break his bonds. His eye had been seen to light up, his muscles to stiffen, his members to concentrate their force, and the straps to stretch. The effort was powerful, prodigious, desperate; but the provost's seasoned bonds resisted. They cracked, and that was all. Quasimodo fell back exhausted. Amazement gave way, on his features, to a sentiment of profound and bitter discouragement.
From that moment forth, he stirred no more. Nothing could force a movement from him. Neither his blood, which did not cease to flow, nor the blows which redoubled in fury, nor the wrath of the torturer, who grew excited himself and intoxicated with the execution, nor the sound of the horrible thongs, more sharp and whistling than the claws of scorpions.
At length a bailiff from the Châtelet clad in black, mounted on a black horse, who had been stationed beside the ladder since the beginning of the execution, extended his ebony wand towards the hour–glass. The torturer stopped. The wheel stopped. Quasimodo's eye opened slowly.
The scourging was finished. Two lackeys of the official torturer bathed the bleeding shoulders of the patient, anointed them with some unguent which immediately closed all the wounds, and threw upon his back a sort of yellow vestment, in cut like a chasuble. In the meanwhile, Pierrat Torterue allowed the thongs, red and gorged with blood, to drip upon the pavement.
All was not over for Quasimodo. He had still to undergo that hour of pillory which Master Florian Barbedienne had so judiciously added to the sentence of Messire Robert d'Estouteville; all to the greater glory of the old physiological and psychological play upon words of Jean de Cum ne, ~Surdus absurdus~: a deaf man is absurd.
So the hour–glass was turned over once more, and they left the hunchback fastened to the plank, in order that justice might be accomplished to the very end.
The populace, especially in the Middle Ages, is in society what the child is in the family. As long as it remains in its state of primitive ignorance, of moral and intellectual minority, it can be said of it as of the child,—
'Tis the pitiless age.
We have already shown that Quasimodo was generally hated, for more than one good reason, it is true. There was hardly a spectator in that crowd who had not or who did not believe that he had reason to complain of the malevolent hunchback of Notre–Dame. The joy at seeing him appear thus in the pillory had been universal; and the harsh punishment which he had just suffered, and the pitiful condition in which it had left him, far from softening the populace had rendered its hatred more malicious by arming it with a touch of mirth.
Hence, the "public prosecution" satisfied, as the bigwigs of the law still express it in their jargon, the turn came of a thousand private vengeances. Here, as in the Grand Hall, the women rendered themselves particularly prominent. All cherished some rancor against him, some for his malice, others for his ugliness. The latter were the most furious.
"Oh! mask of Antichrist!" said one.
"Rider on a broom handle!" cried another.
"What a fine tragic grimace," howled a third, "and who would make him Pope of the Fools if to–day were yesterday?"
"'Tis well," struck in an old woman. "This is the grimace of the pillory. When shall we have that of the gibbet?"
"When will you be coiffed with your big bell a hundred feet under ground, cursed bellringer?"
"But 'tis the devil who rings the Angelus!"
"Oh! the deaf man! the one–eyed creature! the hunch– back! the monster!"
"A face to make a woman miscarry better than all the drugs and medicines!"
And the two scholars, Jehan du Moulin, and Robin Poussepain, sang at the top of their lungs, the ancient refrain,—
"~Une hart Pour le pendard! Un fagot Pour le magot~!"*
* A rope for the gallows bird! A fagot for the ape.
A thousand other insults rained down upon him, and hoots and imprecations, and laughter, and now and then, stones.
Quasimodo was deaf but his sight was clear, and the public fury was no less energetically depicted on their visages than in their words. Moreover, the blows from the stones explained the bursts of laughter.
At first he held his ground. But little by little that patience which had borne up under the lash of the torturer, yielded and gave way before all these stings of insects. The bull of the Asturias who has been but little moved by the attacks of the picador grows irritated with the dogs and banderilleras.
He first cast around a slow glance of hatred upon the crowd. But bound as he was, his glance was powerless to drive away those flies which were stinging his wound. Then he moved in his bonds, and his furious exertions made the ancient wheel of the pillory shriek on its axle. All this only increased the derision and hooting.
Then the wretched man, unable to break his collar, like that of a chained wild beast, became tranquil once more; only at intervals a sigh of rage heaved the hollows of his chest. There was neither shame nor redness on his face. He was too far from the state of society, and too near the state of nature to know what shame was. Moreover, with such a degree of deformity, is infamy a thing that can be felt? But wrath, hatred, despair, slowly lowered over that hideous visage a cloud which grew ever more and more sombre, ever more and more charged with electricity, which burst forth in a thousand lightning flashes from the eye of the cyclops.
Nevertheless, that cloud cleared away for a moment, at the passage of a mule which traversed the crowd, bearing a priest. As far away as he could see that mule and that priest, the poor victim's visage grew gentler. The fury which had contracted it was followed by a strange smile full of ineffable sweetness, gentleness, and tenderness. In proportion as the priest approached, that smile became more clear, more distinct, more radiant. It was like the arrival of a Saviour, which the unhappy man was greeting. But as soon as the mule was near enough to the pillory to allow of its rider recognizing the victim, the priest dropped his eyes, beat a hasty retreat, spurred on rigorously, as though in haste to rid himself of humiliating appeals, and not at all desirous of being saluted and recognized by a poor fellow in such a predicament.
This priest was Archdeacon Dom Claude Frollo.
The cloud descended more blackly than ever upon Quasimodo's brow. The smile was still mingled with it for a time, but was bitter, discouraged, profoundly sad.
Time passed on. He had been there at least an hour and a half, lacerated, maltreated, mocked incessantly, and almost stoned.
All at once he moved again in his chains with redoubled despair, which made the whole framework that bore him tremble, and, breaking the silence which he had obstinately preserved hitherto, he cried in a hoarse and furious voice, which resembled a bark rather than a human cry, and which was drowned in the noise of the hoots—"Drink!"
This exclamation of distress, far from exciting compassion, only added amusement to the good Parisian populace who surrounded the ladder, and who, it must be confessed, taken in the mass and as a multitude, was then no less cruel and brutal than that horrible tribe of robbers among whom we have already conducted the reader, and which was simply the lower stratum of the populace. Not a voice was raised around the unhappy victim, except to jeer at his thirst. It is certain that at that moment he was more grotesque and repulsive than pitiable, with his face purple and dripping, his eye wild, his mouth foaming with rage and pain, and his tongue lolling half out. It must also be stated that if a charitable soul of a bourgeois or ~bourgeoise~, in the rabble, had attempted to carry a glass of water to that wretched creature in torment, there reigned around the infamous steps of the pillory such a prejudice of shame and ignominy, that it would have sufficed to repulse the good Samaritan.
At the expiration of a few moments, Quasimodo cast a desperate glance upon the crowd, and repeated in a voice still more heartrending: "Drink!"
And all began to laugh.
"Drink this!" cried Robin Poussepain, throwing in his face a sponge which had been soaked in the gutter.
A woman hurled a stone at his head,—
"That will teach you to wake us up at night with your peal of a dammed soul."
"He, good, my son!" howled a cripple, making an effort to reach him with his crutch, "will you cast any more spells on us from the top of the towers of Notre–Dame?"
"Here's a drinking cup!" chimed in a man, flinging a broken jug at his breast. "'Twas you that made my wife, simply because she passed near you, give birth to a child with two heads!"
"And my cat bring forth a kitten with six paws!" yelped an old crone, launching a brick at him.
"Drink!" repeated Quasimodo panting, and for the third time.
At that moment he beheld the crowd give way. A young girl, fantastically dressed, emerged from the throng.
Quasimodo's eyes sparkled. It was the gypsy whom he had attempted to carry off on the preceding night, a misdeed for which he was dimly conscious that he was being punished at that very moment; which was not in the least the case, since he was being chastised only for the misfortune of being deaf, and of having been judged by a deaf man. He doubted not that she had come to wreak her vengeance also, and to deal her blow like the rest.
He beheld her, in fact, mount the ladder rapidly. Wrath and spite suffocate him. He would have liked to make the pillory crumble into ruins, and if the lightning of his eye could have dealt death, the gypsy would have been reduced to powder before she reached the platform.
She approached, without uttering a syllable, the victim who writhed in a vain effort to escape her, and detaching a gourd from her girdle, she raised it gently to the parched lips of the miserable man.
Then, from that eye which had been, up to that moment, so dry and burning, a big tear was seen to fall, and roll slowly down that deformed visage so long contracted with despair. It was the first, in all probability, that the unfortunate man had ever shed.
Meanwhile, be had forgotten to drink. The gypsy made her little pout, from impatience, and pressed the spout to the tusked month of Quasimodo, with a smile.
He drank with deep draughts. His thirst was burning.
When he had finished, the wretch protruded his black lips, no doubt, with the object of kissing the beautiful hand which had just succoured him. But the young girl, who was, perhaps, somewhat distrustful, and who remembered the violent attempt of the night, withdrew her hand with the frightened gesture of a child who is afraid of being bitten by a beast.

It would have been a touching spectacle anywhere,—this beautiful, fresh, pure, and charming girl, who was at the same time so weak, thus hastening to the relief of so much misery, deformity, and malevolence. On the pillory, the spectacle was sublime.
The very populace were captivated by it, and began to clap their hands, crying,—
"Noel! Noel!"
It was at that moment that the recluse caught sight, from the window of her bole, of the gypsy on the pillory, and hurled at her her sinister imprecation,—
"Accursed be thou, daughter of Egypt! Accursed! accursed!"


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Money Play. a) How should red play 32?
pips Red=120 White=113
(CorrectAnswer= 0/0, ErrorScore= 0)
b) If White owns the cube how should Red play 32?
c) If the cube is centred how should Play 32?
Position submitted by Chris Purchase
This is similar in theme to the problem I posted over Christmas in that the correct play changes according to the cube position.
With an owned cube (i.e. Red has access to the cube) Red can play cautiously with 13/11, 13/10 (don’t even think about breaking that excellent five-point home board). A hit is not disastrous and on White’s small numbers Red will be posed to attack next turn.
With a centred cube gammons are not activated and so the logical play is 13/10, 6/4*, seeking to quickly reach a strong doubling position and taking advantage of the strong home board. Note that after 13/10, 6/4* and a fan by White, Red is not quite strong enough to double.
If the opponent owns the cube then Red must win with the checkers alone and therefore needs to be more aggressive and try to finish the game as soon as possible. The correct play is therefore 13/10, 6/4*. His anchor protects Red from any complete disasters and if White fans then Red’s gammon prospects are excellent.
It is important to understand the underlying point here that once you have given the cube away and can only win using the checkers then you must use those checkers as effectively and efficiently as possible.
c) If the cube is centred how should Play 32?
Position submitted by Chris Purchase
This is similar in theme to the problem I posted over Christmas in that the correct play changes according to the cube position.
With an owned cube (i.e. Red has access to the cube) Red can play cautiously with 13/11, 13/10 (don’t even think about breaking that excellent five-point home board). A hit is not disastrous and on White’s small numbers Red will be posed to attack next turn.
With a centred cube gammons are not activated and so the logical play is 13/10, 6/4*, seeking to quickly reach a strong doubling position and taking advantage of the strong home board. Note that after 13/10, 6/4* and a fan by White, Red is not quite strong enough to double.
If the opponent owns the cube then Red must win with the checkers alone and therefore needs to be more aggressive and try to finish the game as soon as possible. The correct play is therefore 13/10, 6/4*. His anchor protects Red from any complete disasters and if White fans then Red’s gammon prospects are excellent.
It is important to understand the underlying point here that once you have given the cube away and can only win using the checkers then you must use those checkers as effectively and efficiently as possible.
1. Cubeful 2-ply 13/11 13/10 Eq.: -0.183 0.355 0.082 0.001 - 0.645 0.094 0.002 2. Cubeful 2-ply 6/4* 6/3 Eq.: -0.203 (-0.020) 0.365 0.070 0.000 - 0.635 0.124 0.004 3. Cubeful 2-ply 13/10 6/4* Eq.: -0.211 (-0.028) 0.391 0.136 0.001 - 0.609 0.251 0.012 4. Cubeful 2-ply 6/4*/1 Eq.: -0.231 (-0.048) 0.358 0.074 0.001 - 0.642 0.140 0.004 5. Cubeful 2-ply 5/3 5/2 Eq.: -0.275 (-0.092) 0.334 0.042 0.000 - 0.666 0.097 0.003


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In the beginning of the month, on Friday 2nd August, we had an AMA session with Loopring Protocol, software for building decentralized exchanges, in our Telegram Chat. Our community was introduced to the project by Loopring Founder Daniel Wang and Matthew Finestone, Business Development Director. Here are the essential points of the session:
Please, welcome Daniel (D), Matthew (M), and the questions from our Telegram chat members (Q).
Q: How was the Loopring concept born and bought from illusion to reality?
D: I used to have a CEX called coinport. So I know all the frustrations a CEX owner has. I wanted to create a solution for myself and ended up with a whitepaper and an ICO. But the latest version is based on Vitalik's ZK Rollup idea.
Q: What makes Loopring unique for amateur and professional traders?
D: We have been working on Loopring for two years and delivered 3 major versions of the protocol. But we realized the performance is terrible and not ready at all to compete with CEXes. Thanks to ZKP and ZK Rollup, we are a few days away from releasing our most performant version, Loopring 3 beta3. In theory, it can settle up to 300 trades per second with on-chain data-available and 6150 trades per second without. We also offer a lot of other features, and one of them is very essential: users can use their tokens right away after a trade is confirmed by the relayer. we call it apparent user finality. This gives DEXes the same user experience as CEXes in terms of trading. very important for professional traders and market makers.
I also have to mention that we do not have any tradeoff insecurity when we scale our DEX protocol, no (insecure) sidechains are involved. Everything happens on Ethereum mainnet.
Q: How is Loopring different from other projects in the crypto space? & what problems qiibee network intends to solve in terms of achieving mass adoption if in the coming months? What are your short term goals and what are your plans to accomplish those goals?
In the near term, we want to help partners to build DEXes on top of our protocol and enable them to complete with CEXes, we believe the technology is mostly ready.
In the long run, we are interested in even decentralize the relayer infrastructure by providing a dual-blockchain DEX solution which we are still researching and may need a lot of words to explain. Not a sidechain though.
Q: What is the LRC token used for? What gives it value? Why is it necessary and why should one invest in it?
M: LRC is now used as a stackable token. It can be staked by anyone to earn part of the protocol fees on the network, and is also staked by DEXs for extra economic security guarantees. We actually just released this post 2 days ago.
Q: What kind of future use-cases, besides decentralized exchanges, does the Loopring technology/protocol have?
D: Focusing on competing with and replacing CEXes. But we may also work on some other cool stuff, but I cannot tell much now.
Q: What is your Fiscal Policy? Instamines, premines, buying, spending, icing, discounting, and/or burning any tokens?
M: There is a fixed supply of LRC, which were minted during our ICO 2 years ago. From here, there can only ever be deflation, as some are burned as a result of network protocol fees and volume.
Q: How does your roadmap look like for the next 2 years?
D: We honestly don't know. The crypto space is changing on a daily basis, we have to be nimble, we have to keep learning and adjust our roadmap and schedules. We only have a 6-month roadmap. But we do have long-term vision: high performance trading without any trust.
Q: Can you please highlight more on the decentralization aspect using your technology. Also in the future, is it possible to quantify the level of decentralization and economic incentivization?
D: Loopring is more a "non-custodial centralized exchange protocol", but we all call it DEX protocol because user asserts are held by the users themselves. In the future, the centralized component, relayer, shall also be decentralized. By then, we will have a more decentralized protocol. As of now, when you look around, all DEXes have centralized components except EtherDelta and the like, but their performance is bad.
Q: Do you have any partnerships with other Projects to focus in the near future? If yes, can you please tell us.
D: Yes we do. We are partnering with WeDEX in China, UpDEX in HongKong, Dolomite in the US, and TokenMarket in EU. But we want to roll up DEXes gradually.
Q: What kind of use cases or challenges does Loopering looking to solve?
D: We still have some challenges: 1) we need to dig into ZKP and implementations, right now we use some open-source libs (libsnark, eth snark, etc), 2) we need to find better ZKP curves and may do recursive verifications, 3) we need to reduce the proof generation cost by another magnitude to stay competitive.
Q: What are you going to do to drive adoption by developers and businesses?
We will have to enable one DEX to have great user experience, liquidity and trading volumes. The current tradign volume on all DEXes combined is still too small. Competing with existing DEXes is never our goal, we want to help get rid of most CEXes.
Q: What kind of measurement you will adopt to increase liquidity on dex built upon Loopring protocol?
We give DEX owners full control, Loopring doesn't own any part of a DEX. They need to figure out how to do the bootstrap.
Q: Governments across the world start to regulate the trading of cryptocurrencies.
Does Loopring plan to add the functionality of KYC in your smart contract?
M: The option to KYC or not is NOT a Loopring Protocol decision actually. We provide the tech - but an actual DEX product will decide how to run their business in their jurisdiction, and can easily add KYC into it. Or they can choose not to. Completely up them. Dolomite.io, for example, is based in the US, builds atop Loopring, and enforces KYC.
Q: What do you think is the biggest problem Loopring will solve and why is the problem important to solve?
D: Performance and trading finality. This is the most outstanding issues for DEXes. We can proudly claim that our solution works.
We were glad to host Loopring Protocol,(Twitter - https://twitter.com/loopringorg) on our Telegram. Thanks to the team and all members of the session!
Be always aware of our next AMAs and other project with Atomic Wallet Twitter, Telegram, Facebook and Reddit, and see you soon!


Notes for Machine Learning - Week 5
Contents
Neural Networks: Learning
Cost Function and Backpropagation
Cost Function
Let’s first define a few variables that we will need to use:
- $L$ = total number of layers in the network
- $s_l$ = number of units (not counting bias unit) in layer $l$
- $K$ = number of output units/classes
Recall that the cost function for regularized logistic regression was:
$J(\theta) = - \frac{1}{m} \sum_{i=1}^m \large[ y^{(i)}\ \log (h_\theta (x^{(i)})) + (1 - y^{(i)})\ \log (1 - h_\theta(x^{(i)}))\large] + \frac{\lambda}{2m}\sum_{j=1}^n \theta_j^2$
For neural networks, it is going to be slightly more complicated:
$J(\Theta) = - \frac{1}{m} \sum_{i=1}^m \sum_{k=1}^K \left[y^{(i)}_k \log ((h_\Theta (x^{(i)}))_k) + (1 - y^{(i)}_k)\log (1 - (h_\Theta(x^{(i)}))_k)\right] + \frac{\lambda}{2m}\sum_{l=1}^{L-1} \sum_{i=1}^{s_l} \sum_{j=1}^{s_{l+1}} ( \Theta_{j,i}^{(l)})^2$
- $h_\Theta (x) \in R^K$, $(h_\Theta (x))_i$ = $i^{th}$ output
- In the first part of the equation, the double sum simply adds up the logistic regression costs calculated for each cell in the output layer
- In the regularization part, the triple sum simply adds up the squares of all the individual $\Theta$s in the entire network.
- The number of columns in our current theta matrix is equal to the number of nodes in our current layer (including the bias unit).
- The number of rows in our current theta matrix is equal to the number of nodes in the next layer (excluding the bias unit).
- This is like a bias unit and by analogy to what we were doing for logistic progression, we won’t sum over those terms in our regularization term because we don’t want to regularize them and string their values as zero.
Backpropagation Algorithm
“Backpropagation” (后向搜索) is neural-network terminology for minimizing our cost function, just like what we were doing with gradient descent in logistic and linear regression.
Our goal is try to find parameters $\Theta$ to try to minimize $J(\Theta)$.
In order to use either gradient descent or one of the advance optimization algorithms. What we need to do therefore is to write code that takes this input the parameters theta and computes $J(\Theta)$ and $\dfrac{\partial}{\partial \Theta_{i,j}^{(l)}}J(\Theta)$.
Gradient compuation
Given one training example $(x,y)$
Forward propagation:
- $a^{(1)} = x$
- $z^{(2)} = \Theta ^{(1)} a ^{(1)}$
- $a^{(2)} = g(z^{(2)})\ (add\ a^{(2)}_0)$
- $z^{(3)} = \Theta ^{(1)} a ^{(2)}$
- $a^{(3)} = g(z^{(3)})\ (add\ a^{(3)}_0)$
- $z^{(4)} = \Theta ^{(3)} a ^{(3)}$
- $a^{(2)} = h_\Theta (x) = g(z^{(3)})$
In backpropagation we’re going to compute for every node:
$\delta_j^{(l)}$ = “error” of node j in layer $l$ ($s_{l+1}$ elements vector)
For each output unit (layer $L = 4$):
$\delta ^{(4)} = a^{(4)} - y$
To get the delta values of the layers before the last layer, we can use an equation that steps us back from right to left:
$\delta^{(l)} = ((\Theta^{(l)})^T \delta^{(l+1)})\ .*\ g’(z^{(l)})$
The g-prime derivative terms can also be written out as:
$g’(z^{(l)}) = a^{(l)}\ .*\ (1 - a^{(l)})$
There is no $\delta ^{(1)}$ term, because the first layer corresponds to the input layer and that’s just the feature we observed in our training sets, so that doesn’t have any error associated with that.
It’s possible to prove that if you ignore regularation, then the partial derivative terms you want are exactly given by the activations and these delta terms.
$\dfrac{\partial J(\Theta)}{\partial \Theta_{i,j}^{(l)}} = a^{(i)}_j \delta^{(l+1)}_i\ (\text{ignoring }\lambda)$
Backpropagation Algorithm
- Training set $\lbrace (x^{(1)}, y^{(1)}) \cdots (x^{(m)}, y^{(m)})\rbrace$
- Set $\Delta^{(l)}_{i,j} := 0$ (for all $l, i, j$)
- For $i=1$ to $m$
- Set $a^{(1)} := x^{(t)}$
- Perform forward propagation to compute $a^{(l)}$ for $l = 2,3,\dots ,L$
- Using $y^{(i)}$, compute $\delta^{(L)} = a^{(L)} - y^{(t)}$
- Compute $\delta^{(L-1)}, \delta^{(L-2)},\dots,\delta^{(2)}$
- $\Delta^{(l)}_{i,j} := \Delta^{(l)}_{i,j} + a_j^{(l)} \delta_i^{(l+1)}$ or with vectorization, $\Delta^{(l)} := \Delta^{(l)} + \delta^{(l+1)}(a^{(l)})^T$
- $D^{(l)}_{i,j} := \dfrac{1}{m}\left(\Delta^{(l)}_{i,j} + \lambda\Theta^{(l)}_{i,j}\right)$ If $j\ne 0$
- $D^{(l)}_{i,j} := \dfrac{1}{m}\Delta^{(l)}_{i,j}$ If $j = 0$
The capital-delta matrix is used as an “accumulator” to add up our values as we go along and eventually compute our partial derivative.
the $D_{i,j}^{(l)}$ terms are the partial derivatives and the results we are looking for:
$\dfrac{\partial J(\Theta)}{\partial \Theta_{i,j}^{(l)}} = D_{i,j}^{(l)}$
Backpropagation Intuition
Forward propagation
What’s backpropagation doing?
The cost function is:
$J(\theta) = - \frac{1}{m} \sum_{t=1}^m\sum_{k=1}^K \left[ y^{(t)}_k \ \log (h_\theta (x^{(t)}))_k + (1 - y^{(t)}_k)\ \log (1 - h_\theta(x^{(t)})_k)\right] + \frac{\lambda}{2m}\sum_{l=1}^{L-1} \sum_{i=1}^{s_l} \sum_{j=1}^{s_l+1} ( \theta_{j,i}^{(l)})^2$
Focusing on a single example $x^{(i)}, y^{(i)}$, the case of 1 output unit, and ignoring regularization ($\lambda = 0$),
$cost(t) =y^{(t)} \ \log (h_\theta (x^{(t)})) + (1 - y^{(t)})\ \log (1 - h_\theta(x^{(t)}))$
Intuitively, $\theta ^{(l)}_j$ is the “error” for $a ^{(l)}_j$ (unit $j$ in layer $l$). More formally, the delta values are actually the derivative of the cost function:
$\delta_j^{(l)} = \dfrac{\partial}{\partial z_j^{(l)}} cost(t)$
In above, we can compute
$\delta ^{(4)}_1 = y^{(i)} - a^{(4)}_1$
$\delta ^{(3)}_2 = \Theta ^{(3)}_{12} \delta^{(4)}_1$
$\delta ^{(2)}_2 = \Theta ^{(2)}_{12} \delta^{(3)}_1 + \Theta ^{(2)}_{22} \delta^{(3)}_2$
Backpropagation in Practice
Implementation Note: Unrolling Parameters
We use following code to get the optimisation theta.
|
|
Where gradient
, theta
, initialTheta
are vectors of $n+1$ dimension.
In order to use optimizing functions such as fminunc()
, we will want to “unroll” all the elements and put them into one long vector:
|
|
If the dimensions of Theta1
is $10\times11$, Theta2
is $10\times 11$ and Theta3
is $1\times 11$, then we can get back our original matrices from the “unrolled” versions as follows:
|
|
Gradient Checking
Gradient checking will assure that our backpropagation works as intended.
Numerical estimation of gradients
We can approximate the derivative of our cost function with:
$\dfrac{\partial}{\partial\Theta}J(\Theta) \approx \dfrac{J(\Theta + \epsilon) - J(\Theta - \epsilon)}{2\epsilon}$
Implement
|
|
Gradient Checking
With multiple theta matrices, we can approximate the derivative with respect to $\Theta _J$ as follows:
$\dfrac{\partial}{\partial\Theta_j}J(\Theta) \approx \dfrac{J(\Theta_1, \dots, \Theta_j + \epsilon, \dots, \Theta_n) - J(\Theta_1, \dots, \Theta_j - \epsilon, \dots, \Theta_n)}{2\epsilon}$
A good small value for ϵ (epsilon), guarantees the math above to become true. If the value be much smaller, may we will end up with numerical problems. The professor Andrew usually uses the value $\epsilon = 10^{-4}$.
Implement
|
|
We then want to check that gradApprox
$\approx$ deltaVector
.
Implement Note
- Implement backprop to compute
DVec
(unrolled $D^{(1)}, D^{(2)}, D^{(3)}$). - Implement numerical gradient check to compute
gradApprox
. - Make sure they give similar values.
- Turn off gradient checking. Using backprop code for learning.
Important
- Be sure to disable your gradient checking code before training your classifier. If you run numerical gradient computation on every iteration of gradient descent (or in the inner loop of
costFunction(...)
), your code will be very slow.
Random Initialization
Initializing all theta weights to zero does not work with neural networks. When we backpropagate, all nodes will update to the same value repeatedly.
Instead we can randomly initialize our weights to break symmetry.
- Initialize each $\Theta^{(l)}_{ij}$ to a random value between $[-\epsilon, \epsilon]$
- $\epsilon = \dfrac{\sqrt{6}}{\sqrt{\mathrm{Loutput} + \mathrm{Linput}}}$
- $\Theta^{(l)} = 2\epsilon\ rand(Loutput, Linput+1)-\epsilon$
|
|
Note: this epsilon is unrelated to the epsilon from Gradient Checking
Putting It Together
First, pick a network architecture; choose the layout of your neural network, including how many hidden units in each layer and how many layers total.
- Number of input units = dimension of features $x^{(i)}$
- Number of output units = number of classes
- Number of hidden units per layer = usually more the better (must balance with cost of computation as it increases with more hidden units)
- Defaults: 1 hidden layer. If more than 1 hidden layer, then the same number of units in every hidden layer.
Training a Neural Network
- Randomly initialize the weights
- Implement forward propagation to get $h_\theta(x^{(i)})$
- Implement the cost function
- Implement backpropagation to compute partial derivatives
- Use gradient checking to confirm that your backpropagation works. Then disable gradient checking.
- Use gradient descent or a built-in optimization function to minimize the cost function with the weights in theta.
When we perform forward and back propagation, we loop on every training example:
1 2 3 |
for i = 1:m, Perform forward propagation and backpropagation using example (x(i),y(i)) (Get activations a(l) and delta terms d(l) for l = 2,...,L |
Quiz
- You are training a three layer neural network and would like to use backpropagation to compute the gradient of the cost function. In the backpropagation algorithm, one of the steps is to update
$\Delta^{(2)}_{ij} := \Delta^{(2)}_{ij} + \delta^{(3)}_i * (a^{(2)})_j$
for every$i,j$
. Which of the following is a correct vectorization of this step?- $\Delta(2) :=\Delta(2)+(a(3))^T \ast\delta(2)$
- $\Delta(2) :=\Delta(2)+\delta(3) \ast (a(3))^T$
- $\Delta(2) :=\Delta(2)+(a(2))^T \ast \delta(3)$
- $\Delta(2) :=\Delta(2)+\delta(3) \ast (a(2))^T$
- Suppose
Theta1
is a $5\times 3$ matrix, andTheta2
is a $4\times 6$ matrix. You setthetaVec=[Theta1(:);Theta2(:)]
. Which of the following correctly recoversTheta2
?reshape(thetaVec(16:39),4,6)
reshape(thetaVec(15:38),4,6)
reshape(thetaVec(16:24),4,6)
reshape(thetaVec(15:39),4,6)
reshape(thetaVec(16:39),6,4)
- Let $J(\theta) = 3\theta^3 + 2$. Let $\theta=1$, and $\epsilon=0.01$. Use the formula $\frac{J(\theta+\epsilon)-J(\theta-\epsilon)}{2\epsilon}$ to numerically compute an approximation to the derivative at $\theta=1$. What value do you get? (When $\theta=1$, the true/exact derivative is $ \frac{d J(\theta)}{ d\theta}=9$.)
- 9
- 8.9997
- 11
- 9.0003
Which of the following statements are true? Check all that apply.
- Computing the gradient of the cost function in a neural network has the same efficiency when we use backpropagation or when we numerically compute it using the method of gradient checking.
- For computational efficiency, after we have performed gradient checking to verify that our backpropagation code is correct, we usually disable gradient checking before using backpropagation to train the network.
- Using gradient checking can help verify if one’s implementation of backpropagation is bug-free.
- Gradient checking is useful if we are using one of the advanced optimization methods (such as in fminunc) as our optimization algorithm. However, it serves little purpose if we are using gradient descent.
- Using a large value of $\lambda$ cannot hurt the performance of your neural network; the only reason we do not set $\lambda$ to be too large is to avoid numerical problems.
- If our neural network overfits the training set, one reasonable step to take is to increase the regularization parameter $\lambda$.
- Gradient checking is useful if we are using gradient descent as our optimization algorithm. However, it serves little purpose if we are using one of the advanced optimization methods (such as in fminunc).
Which of the following statements are true? Check all that apply.
- Suppose that the parameter $\theta(1)$ is a square matrix (meaning the number of rows equals the number of columns). If we replace $\theta(1)$ with its transpose ($\theta(1)^T$), then we have not changed the function that the network is computing.
- Suppose we have a correct implementation of backpropagation, and are training a neural network using gradient descent. Suppose we plot $J(\theta)$ as a function of the number of iterations, and find that it is increasing rather than decreasing. One possible cause of this is that the learning rate $\alpha$ is too large.
- If we are training a neural network using gradient descent, one reasonable “debugging” step to make sure it is working is to plot $J(\theta)$ as a function of the number of iterations, and make sure it is decreasing (or at least non-increasing) after each iteration.
- Suppose we are using gradient descent with learning rate $\alpha$. For logistic regression and linear regression, $J(\theta)$ was a convex optimization problem and thus we did not want to choose a learning rate $\alpha$ that is too large. For a neural network however, $J(\theta)$ may not be convex, and thus choosing a very large value of $\alpha$ can only speed up convergence.
- Suppose you have a three layer network with parameters $\theta(1)$ (controlling the function mapping from the inputs to the hidden units) and $\theta(2)$ (controlling the mapping from the hidden units to the outputs). If we set all the elements of $\theta(1)$ to be 0, and all the elements of $\theta(2)$ to be 1, then this suffices for symmetry breaking, since the neurons are no longer all computing the same function of the input.
- If we initialize all the parameters of a neural network to ones instead of zeros, this will suffice for the purpose of “symmetry breaking” because the parameters are no longer symmetrically equal to zero.


Komodo
talk-trading
A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
Tek
03-May-19 03:40 PM
all my pictures are unsorted and its a big mess so I coulnd't find any more crypto memes
but i did find this
https://imgur.com/a/sEENhhg
seems like KMD buyer at 18k might get his fil
Andersen
03-May-19 03:42 PM
Domination rising
https://charts.cointrader.pro/snapshot/Ve7pC.png
https://charts.cointrader.pro/charts.html?coin=BITCOIN:DOMINANCE
CoinTrader.Pro Chart Viewer
Charts.Cointrader.Pro allows you to make TradingView charts of all possible cryptocurrencies for free.
Hollowman9000
03-May-19 03:44 PM
What’s the unconfirmed pool look like
A BTC pump will grab the 12 gauge, and shoot vbk directly in the face point blank
If the tx fees chimpout like last time
muh pupmeener
Tek
03-May-19 03:45 PM
@Hollowman9000
check pools of big crypto here
https://blockchair.com/
Blockchair — Universal blockchain explorer and search engine
Block explorer and the most powerful API for BTC, ETH, BCH, LTC, DASH, BSV and DOGE that allow you to find, sort and filter transactions and addresses.

Markus
03-May-19 04:55 PM
it will go up when its right time for it
mrtzmp3
03-May-19 04:55 PM
Right time is now
Markus
03-May-19 04:55 PM
why u think so
mrtzmp3
03-May-19 04:55 PM
I watch him or her , buy 30 k kmd
Markus
03-May-19 04:56 PM
i quess u were not here when there was a buy order worth 2 million dollar a few months ago
mrtzmp3
03-May-19 04:56 PM
I was there
Markus
03-May-19 04:57 PM
the buy order at 18k doesnt necessary have to be whalebro, might aswell be someone who want to get into kmd
mrtzmp3
03-May-19 04:58 PM
Its gonna be fine tho thats all i care
1755
Got me a lil scared
Markus
03-May-19 04:58 PM
nothing to worry about
mrtzmp3
03-May-19 04:58 PM
But we are protected
Markus
03-May-19 04:58 PM
it can go lower aswell
but it will go up also
mrtzmp3
03-May-19 04:59 PM
Triple bottom
Markus
03-May-19 04:59 PM
so just buy more if it drop
mrtzmp3
03-May-19 04:59 PM
1 h
Markus
03-May-19 04:59 PM
u know
the more times u test the support
the weaker it could get
same as resistance
mrtzmp3
03-May-19 04:59 PM
The more likely to get rekt
Hahhaha
Markus
03-May-19 05:00 PM
doesnt have to be but there is a possibility ofc to everything
mrtzmp3
03-May-19 05:01 PM
Watch YouTube : how to destroy Market makers
Nice info
The more times Test Support . We get more predictable .
Markus
03-May-19 05:02 PM
^^
mrtzmp3
03-May-19 05:02 PM
Predictable = rekt
But Triple bottom now without discussion
On 1 h
Markus
03-May-19 05:04 PM
alright
https://www.tradingview.com/x/rpJIsEP2/
jl777c
03-May-19 05:06 PM
so KMD to 1k sats is guaranteed by TA?
2
1
mrtzmp3
03-May-19 05:06 PM
Channel is wrong bro
@Markus
@jl777c
hopefully
1
jl777c
03-May-19 05:07 PM
there is 3BTC on the sell side below 19k
it is just mm bots moving the bid/ask down as far as the market allows
mrtzmp3
03-May-19 05:08 PM
@jl777c
true
@jl777c
its mainly bots
jl777c
03-May-19 05:08 PM
and panicking newbs
market behaves irrationally when BTC goes up 5%+ in a day
sell all the other coins to ride the BTC, then get whipsawed as BTC reverses and then sell everything to pay the loan shark
Markus
03-May-19 05:10 PM
think its not only kmd but most of alt coins...Eth have been having a terrible time aswell compared to Btc
if we compare the alts vs btc
not usd
mrtzmp3
03-May-19 05:10 PM
@Markus
its gonna be alright
Markus
03-May-19 05:11 PM
ofc it will be
mrtzmp3
03-May-19 05:11 PM
Aufjeden
@Markus
i read a book right now from john j murpy right now , you should read it too
Markus
03-May-19 05:12 PM
what book
mrtzmp3
03-May-19 05:12 PM
Wait a sec
I '' ll invite you in the group and Look in educational recources pls
DM
Markus
03-May-19 05:15 PM
okay
why not just write name?
(edited)
mrtzmp3
03-May-19 05:16 PM
No spam
siu - Chainmakers
03-May-19 05:17 PM
It has always been like this with btc bull runs
Alts react later when btc bull is already in full force
Mostly all alts rallied in 2017, btc had started the past bull since 2015
phm87
03-May-19 05:18 PM
Marketcap without BTC:
https://www.tradingview.com/x/YERwPcrT/
WW bullish ? I am not sure
Small break of bull flag (up)
(edited)
Hollowman9000
03-May-19 05:27 PM
>ETH is performing terribly
Because its day has come and gone
It’s a dead end
jl777c
03-May-19 05:28 PM
ETH will be around a long time
Hollowman9000
03-May-19 05:28 PM
It won’t go away, but it won’t be the star it was
jl777c
03-May-19 05:28 PM
they have a lot of devs, continue to work at it, as opposed to a lot of projects that dont do much at all
Hollowman9000
03-May-19 05:28 PM
Brown dwarf vs blue giant
jl777c
03-May-19 05:29 PM
from that movie?
with the big blue people
Hollowman9000
03-May-19 05:29 PM
Movie?
jl777c
03-May-19 05:29 PM
avatar
Hollowman9000
03-May-19 05:29 PM
Ah


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About
I am a Bachelors graduate in Electronics and Communication Engineering
Enthusiastic and tech-driven Full Stack Developer with professional experience in Backend Development, Frontend Development and Machine Learning. I am adept in React.js, Node.js, MongoDB, Python, Django, Docker, and MySQL.
Experience
- Collaborated with team members to redesign and rebuild platform improving the customer's visit by 35%.
- Developed modular REST APIs for multiple portals of the web application.
- Improved the load carrying capacity of the web application by redefining the servers and the backend flow.
- Tools: React.js, Node.js, MongoDB, AWS, Docker, Bash, Software Testing
- Developed 50+ product features.
- Assessed UX and UI designs for technical feasibility. Recommended solutions for a streamlined, user-friendly interface for designs.
- Developed 50+ test plans and test cases, and raised testing efficiency by 31%.
- Led the team on product feature improvements with useful recommendations and collaborative debugging.
- Tools: Svelte.js, SAAS, Pug.js, HTML5, CSS3, Docker, Mocha.js, Node.js
- Collaborated with product team members to implement 30+ feature developments.
- Developed a cloud-based data visualization and analytics web application aimed at storing and visualizing data-points of each IoT devices.
- Designed and implemented a stacking model predicting the degradation of drugs and achieved 75% - 83% accuracy depending on the data for each drug.
- Tools: Python, Django, Docker, Django Rest Framework, HTML5, CSS3, Javascript, jQuery, Bootstrap, and Postgresql.
- Designed a Machine Learning pipeline for ranking and filtering posts in a user's feed as per user preferences.
- Average rank from the most accurate and efficient method was found to be 3.5. Approx. 600 users of the application found the recommendations to be useful and accurate as per their interests.
- Leveraged features include Keywords from user posts, user ratings, hashtags and tags associated with the content, user’s friends, etc.
- Tools: Python, Machine Learning, NLP, Scikit-learn, NLTK
Projects
Instagram Application
Twitter Bot built using Tweepy Library
- Tools: Python, GUI, Tweepy
- Incorporated twitter API to build a twitter bot in Python and GUI programming using Tweepy Library.
- This application would be used to follow everyone following you, favorite and Retweet a Tweet based on keywords and reply to a user based on a keyword.
A simple UI for users to chat by sending text messages to each other.
A Deep Learning project which predicts Bike Sharing Patterns.
Skills
Languages and Databases
Libraries
Frameworks
Other
Education
Gandhi Institute for Technological Advancement
Orissa, India
Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 9.6/10
- Data Structures and Algorithms
- Python programming
- C++ programming
- Linux SRE Fundamentals
- Artificial Intelligence
Relevant Courseworks:


System Architect Definitions, Encyclopedia:"D:\DATA\SYSARCH\HCM\GEN_DATA\SUBJECT\V01\CURRENT\"
Name (Class Attribute)
- Class Name:
"Subject Name"
- Derived:
F
- &Value Type:
String
- Optional:
F
- Unique:
F
- Const:
F
- Description:
One or more words.
name (Association)
- From Class:
"Subject Name"
- To Class:
"Preferred Name For Subject"
Natural Progression (Class)
- Abstract:
F
- Derived:
F
- Allow Shared:
F
- Override Shared:
F
- Default Shared:
F
- Allow Transactional:
F
- Override Transactional:
F
- Default Transactional:
F
- Allow Monitored:
F
- Override Monitored:
F
- Default Monitored:
F
- Allow Distributed:
F
- Override Distributed:
F
- Default Distributed:
F
- Normalize:
F
- Description:
"Projected Property" attributing a condition or state which is expected to occur in the absence of
any intervention.
- Source:
post-CBS
- Previous name:
Natural Potential Characteristic
- State Type:
F
- &Abstract:
F
- Value:
F


Click to get me moving. Refresh for new bike
Urban growth means less and less rural land left. As populations grows more trash is produced, which has the greatest potential to harm the environment, wildlife and humans. However, dense concentrations of tall buildings could help make urban centers greener and more energy efficient than sprawling suburbs.
Once natural resources start getting used up at faster rates the advent of more technological advances leads to environmental friendly developements using green resources.


This project allows a user to request a form from Congitoforms.com, fill out that form and submit it, all through an Alexa app.
Getting Started
To begin, clone or download the project from https://github.com/SCCapstone/CognitoFormsDev to your desktop.
Prerequisites
Code editor
Amazon developer account
Amazon Web Services account
Node.js
Installing/Configuration
1) First open a folder on your desktop where you will store the project. In order to create a git repository in that folder and retrieve the project, use the command:
5) Open a new tab in your browser and navigate to the Amazon Web Services and login
Select "Lambda" under the services menu
Select "Create function"
Select "blue prints"; in the search bar lookup "Alex-skill-kit-sdk-factskill" and select that option
Give a name for your lambda function
Under the "Role" drop down choose "Create a custom role"
6) A new page should appear showing IAM Role "lambda_basic_execution"
Scroll to the bottom of the page and click "Allow"
7) You should return to your pevious page, where you named the function. Make sure that all of fields have been entered correctly.
Scroll down and click the button labeled "Create function"
8) We must now add a trigger for the function
Select "Alexa Skill Kit" from the add trigger option
Make note of the lambda endpoint Id, located at the top right of the page, that is preceded by "ARN-"
9) Return to your first tab containing the Amazon developer portal
Select "Endpoint" under the build tab
Select the "AWS Lambda ARN" option
In the default Region box, place the lambda endpoint Id that you noted back in step 8
Copy the Skill Id featured above the default Region box
Return back to the tab with your lambda function configuration
10) Scroll to the bottom of the page
Fill in the Skill-ID box with the Skill Id you acquired from step 9
Click "Add" when done
Click on the name of your lambda function to reveal a function editor where the code for the lambda function is stored
From the downloaded project, copy all lines of code from the "index.js" file located: CognitoFormsDev -> cognito_form -> lambda -> us-east-1_cognito-skill -> index.js
Paste that code to the editor containing the lambda code
Hit the "Save" button in the top right corner of the page
11) Return to the tab with endpoint (The Alexa Developer Console)
Save the endpoints
Save the model
Build the model
You are now ready to test the skill.
Running the tests
Test json files can be saved and run locally, using the instructions here: cognito_form/tests/README.txt.
In addition, tests can be run from the test tab of the Amazon developer console.
Built With
Node.js The web framework used
AWS Lambda Dependency Management
Version
1.0.0
Authors
Jeffrey Cocklin - Initial work - tjcocklin
Jake Meisten - Research and webpage desgin - jmeisten
See also: Ayla El-Mereebi, Jaret Kiser, Nicholas Belegrino, Kassidy Block
License
This project is licensed under the MIT License - see the LICENSE.md file for details


HOME
MENU
PLACE ORDER
CONTACT US
OPEN FOR DINE !!
TAKE OUTS !!
AND DELIVERYS !!
Your Satisfation, is Our Priority


{{trip.Title}}
Departure time: {{trip.DepartureTime | date:'dd/MM/yyyy HH:mm:ss'}}
{{trip.Description}}
Driver user: {{trip.DriverName}}
Departure city: {{trip.DepartureCityName}}
Arrival city: {{trip.ArrivalCityName}}
Seats available: {{trip.AvailableSeats}}
Delete Trip
Join
Leave


| Logistics Frigates | 0 | 1 |
| Long Distance Jamming | 0 | 1 |
| Magnetometric Sensor Compensation | 0 | 1 |
| Marketing | 0 | 1 |
| Mass Production | 5 | 5 |
| Mechanical Engineering | 0 | 1 |
| Mechanics | 1 | 1 |
| Medium Artillery Specialization | 0 | 1 |
| Medium Autocannon Specialization | 0 | 1 |
| Medium Beam Laser Specialization | 0 | 1 |
| Medium Blaster Specialization | 0 | 1 |
| Medium Drone Operation | 0 | 1 |
| Medium Energy Turret | 0 | 1 |
| Medium Hybrid Turret | 0 | 1 |
| Medium Precursor Weapon | 0 | 1 |
| Medium Projectile Turret | 0 | 1 |
| Medium Pulse Laser Specialization | 0 | 1 |
| Medium Railgun Specialization | 0 | 1 |
| Megacorp Management | 0 | 1 |
| Mercoxit Processing | 0 | 1 |
| Metallurgy | 0 | 1 |
| Mining Barge | 0 | 1 |
| Mining Connections | 0 | 1 |
| Mining Director | 0 | 1 |
| Mining Drone Operation | 0 | 1 |
| Mining Foreman | 0 | 1 |
| Mining Upgrades | 2 | 2 |
| Minmatar Battlecruiser | 0 | 1 |
| Minmatar Battleship | 0 | 1 |
| Minmatar Cruiser | 0 | 1 |
| Minmatar Destroyer | 1 | 1 |
| Minmatar Drone Specialization | 0 | 1 |
| Minmater Encryption Methods | 0 | 1 |
| Minmatar Frigate | 1 | 1 |
| Minmatar Hauler | 0 | 1 |
| Minmatar Starship Engineering | 0 | 1 |
| Minmatar Tactical Destroyer | 0 | 1 |
| Missile Bombardment | 0 | 1 |
| Missile Projection | 0 | 1 |
| Molecular Engineering | 2 | 2 |
| Nanite Engineering | 1 | 1 |
| Nanite Operation | 0 | 1 |
| Negotiation | 2 | 2 |
| Neurotoxin Recovery | 0 | 1 |
| Nuclear Physics | 3 | 4 |
| Omber Processing | 0 | 1 |
| Plagioclase Processing | 0 | 1 |
| Planetology | 0 | 1 |
| Plasma Physics | 4 | 5 |
| Precursor Battleship | 0 | 1 |
| Precursor Cruiser | 0 | 1 |
| Procurement | 0 | 1 |
| Projectile Weapon Rigging | 0 | 1 |
| Pyroxeres Processing | 0 | 1 |
| Quantum Physics | 3 | 3 |
| Radar Sensor Compensation | 0 | 1 |
| Rapid Launch | 0 | 1 |
| Reactions | 0 | 1 |
| Remote Armor Repair Systems | 2 | 2 |
| Remote Hull Repair Systems | 0 | 1 |
| Remote Sensing | 0 | 1 |
| Repair Drone Operation | 1 | 1 |
| Reprocessing | 4 | 4 |
| Reprocessing Efficiency | 0 | 1 |
| Research | 0 | 1 |
| Retail | 1 | 1 |
| Rocket Science | 1 | 1 |
| Rocket Specialization | 0 | 1 |
| Rockets | 0 | 1 |
| Salvage Drone Operation | 0 | 1 |
| Science | 1 | 1 |
| Scordite Processing | 0 | 1 |
| Scrapmetal Processing | 0 | 1 |
| Security Connections | 0 | 1 |
| Sensor Linking | 0 | 1 |
| Sentry Drone Operation | 0 | 1 |
| Shield Command Specialist | 0 | 1 |
| Shield Compensation | 0 | 1 |
| Shield Emission Systems | 0 | 1 |
| Shield Operation | 1 | 1 |
| Shield Rigging | 0 | 1 |
| Shield Command | 0 | 1 |
| Signal Dispersion | 0 | 1 |
| Signal Suppression | 0 | 1 |
| Signature Focusing | 0 | 1 |
| Skirmish Command Specialist | 0 | 1 |
| Skirmish Command | 0 | 1 |
| Sleeper Technology | 1 | 1 |
| Small Artillery Specialization | 0 | 1 |
| Small Autocannon Specialization | 0 | 1 |
| Small Beam Laser Specialization | 0 | 1 |
| Small Blaster Specialization | 1 | 1 |
| Small Hybrid Turret | 93 | 93 |
| Small Projectile Turret | 0 | 1 |
| Small Pulse Laser Specialization | 0 | 1 |
| Small Railgun Specialization | 0 | 1 |
| Social | 5 | 5 |
| Spaceship Command | 1 | 1 |
| Spodumain Processing | 0 | 1 |
| Starbase Defense Management | 0 | 1 |
| Structure Doomsday Operation | 0 | 1 |
| Structure Electronic Systems | 0 | 1 |
| Structure Engineering Systems | 0 | 1 |
| Structure Missile Systems | 0 | 1 |
| Takmahl Technology | 0 | 1 |
| Talocan Technology | 0 | 1 |
| Target Breaker Amplification | 0 | 1 |
| Target Navigation Prediction | 0 | 1 |
| Target Painting | 1 | 1 |
| Thermal Armor Compensation | 0 | 1 |
| Thermal Shield Compensation | 0 | 1 |
| Torpedoes | 0 | 1 |
| Veldspar Processing | 0 | 1 |
| Warhead Upgrades | 0 | 1 |
| Weapon Destablization | 0 | 1 |
| Weapon Disruption | 1 | 1 |
| Wing Command | 0 | 1 |
| Yan Jung Technology | 0 | 1 |
| Skill Injectors | Now | Most |
| Daily Alpha Injector | 0 | 2 |
| Large Skill Injector | 0 | 1 |
| Sleeper Components | Now | Most |
| Ancient Coordinates Database | 0 | 1 |
| Neural Network Analyzer | 5 | 6 |
| Sleeper Data Library | 2 | 16 |
| Sleeper Drone AI Nexus | 0 | 1 |
| Smart Bombs | Now | Most |
| 'Pike' Small EMP Smartbomb 1 | 0 | 1 |
| Large 'Notos' Explosive Charge 1 | 17 | 156 |
| Large 'Vehemence' Shockwave Charge | 92 | 92 |
| Large EMP Smartbomb 1 | 4 | 4 |
| Large Rudimentary Concussion Bomb 1 | 25 | 182 |
| Large YF-12a Smartbomb | 13 | 107 |
| Medium 'Notos' Explosive Charge 1 | 52 | 71 |
| Medium 'Vehemence' Shockwave Charge | 58 | 58 |
| Medium EMP Smartbomb 1 | 1 | 1 |
| Medium Graviton Smartbomb 1 | 2 | 2 |
| Medium Proton Smartbomb 1 | 8 | 8 |
| Medium Rudimentary Concussion Bomb 1 | 20 | 177 |
| Medium YF-12a Smartbomb | 61 | 137 |
| Small 'Notos' Explosive Charge 1 | 125 | 125 |
| Small 'Vehemence' Shockwave Charge | 110 | 110 |
| Small EMP Smartbomb 1 | 3 | 3 |
| Small Graviton Smartbomb 1 | 3 | 3 |
| Small Plasma Smartbomb 1 | 10 | 10 |
| Small Proton Smartbomb 1 | 3 | 3 |
| Small Rudimentary Concussion Bomb 1 | 240 | 240 |
| Small YF-12a Smartbomb | 201 | 201 |
| Special Edition Commodities | Now | Most |
| 'Bitwave Glacier' Augmentation Crate | 52 | 52 |
| 'Domino Turquoise' Augmentation Crate | 98 | 98 |
| *Sneaks in a classic* | 1 | 2 |
| 300 Billion ISK Contract Copy | 19 | 20 |
| 95th Interstellar Mindclash Championship Tickets | 56 | 56 |
| [CNS] Kiirasha Final Broadcast Fragment | 139 | 139 |
| A Big Red Button | 3 | 3 |
| A Letter Of Complaint | 31 | 31 |
| A piece of Steve | 0 | 1 |
| A Stolen Voting Pebble | 41 | 41 |
| A Tank of Honor | 1 | 1 |
| A3 Industrial Package | 2 | 2 |
| Airlock-Slammer Display | 46 | 46 |
| Alice Saki's Good Posting Guide | 258 | 258 |
| Alliance Tournament XV Meta | 45 | 45 |
| Amarr Foundation Day Fireworks Crate | 6 | 6 |
| Amarr Foundation Day Jacket Crate | 1 | 1 |
| Amarr Foundation Day Pants Crate | 2 | 2 |
| Amarr Foundation Day Robe Crate | 2 | 2 |
| Amarr Inception Package | 8 | 8 |
| Amarr Religious Mask | 81 | 81 |
| Animal Medical Expert | 6 | 6 |
| Armor Plating From TES Seraph | 7 | 8 |
| Assassination Contract: Mirial | 3 | 3 |
| Badly Corrupted Holoreel | 91 | 92 |
| Bag of Gelantinized Confectionary | 22 | 22 |
| Band of Brothers Director Access Key | 3 | 4 |
| Basic 'Ardour' Cerebral Accelerator Blueprint Crate | 3 | 3 |
| Biomechanical Armor Fragment | 43 | 43 |
| Black Dagger | 57 | 59 |
| Blood Coated Statuette | 126 | 126 |
| Bouquet of Flowers | 15 | 15 |
| Box of Chocolates | 31 | 31 |
| Broken Skill Canister | 0 | 1 |
| Caldari Union Day Fireworks Crate | 3 | 3 |
| Caldari Union Day Jacket Crate | 2 | 2 |
| Caldari Union Day Pants Crate | 2 | 2 |
| Calm Abyssal Filaments Crate | 431 | 431 |
| Capital Parking Ticket | 22 | 22 |
| Capsule Cascade Firework Crate | 1 | 1 |
| Capsuleer Day XIX Fireworks Gift Box | 6 | 6 |
| Capsuleer Day XVI Apotheosis & SKIN Crate | 31 | 31 |
| Capsuleer Day XVI Cap Crate | 96 | 96 |
| Capsuleer Day XVI Gnosis & SKIN Crate | 0 | 1 |
| Capsuleer Day XVI Praxis & SKIN Crate | 0 | 1 |
| Capsuleer Day XVI Sunesis & SKIN Crate | 0 | 1 |
| Capsuleer Day XVI T-Shirt Crate | 103 | 103 |
| Capsuleer Day XVII Alpha Booster Gift Box | 0 | 1 |
| Capsuleer Day XVII Cap and T-Shirt Crate | 0 | 1 |
| Capsuleer Day XVII Fireworks Package | 5 | 5 |
| Capsuleer Day XVIII T-Shirt and Cap Crate | 2 | 2 |
| Capsuleer Day XX Fireworks Package | 5 | 5 |
| Cerebrum In A Container | 37 | 37 |
| Chribba's Modified Strip Miner | 49 | 49 |
| Chronologically Curious Blue Diary | 58 | 58 |
| Colonize! Board Game | 121 | 121 |
| CONCORD GalNet Monitoring Archive | 62 | 62 |
| CONCORD Speeding Ticket | 21 | 22 |
| Concordokken | 2 | 2 |
| Contraband Amarrian Walnuts | 133 | 133 |
| Cooking With Veldspar | 67 | 67 |
| Copy of the Gallente Federation Constitution | 0 | 1 |
| Counterfeit Dominix Model | 51 | 51 |
| Crimson Harvest T-Shift Gift Box | 1 | 1 |
| CSM 1 Electee Archive Script | 10 | 10 |
| CSM 10 Electee Archive Script | 13 | 13 |
| CSM 2 Electee Archive Script | 7 | 7 |
| CSM 3 Electee Archive Script | 7 | 7 |
| CSM 4 Electee Archive Script | 7 | 7 |
| CSM 5 Electee Archive Script | 5 | 5 |
| CSM 6 Electee Archive Script | 8 | 8 |
| CSM 7 Electee Archive Script | 5 | 5 |
| CSM 8 Electee Archive Script | 4 | 4 |
| CSM 9 Electee Archive Script | 5 | 5 |
| Damaged Ancient PEG | 89 | 90 |
| Data-Sniffer Display | 84 | 84 |
| Dawn of Liberation Frigate SKINs | 1 | 1 |
| Deactivated Station Key Pass | 0 | 1 |
| Deathglow Residue | 118 | 118 |
| Decayed Deathglow | 79 | 79 |
| Decommissioned ERIC Prototype | 1 | 1 |
| Delve Yoiul Calendar | 65 | 65 |
| Diamond Ring | 80 | 80 |
| Dice of Jade | 229 | 229 |
| Donut Holder | 0 | 1 |
| Drake & Oracle Argyros SKIN Crate | 6 | 6 |
| Drake & Rupture SKIN Crate | 3 | 3 |
| Drone Regions YC109 | 257 | 257 |
| Ectoplasm-Skimmer Display | 63 | 63 |
| Eico Redarc/Redwire XVI Augmentations Crate | 14 | 14 |
| Exoplanets Hunter Reward Crate | 214 | 214 |
| Expired DNCR-05H and PRNCR-10H Highsec Ice Storm Filaments Crate | 13 | 13 |
| Expired Ice Storm Filaments Crate | 2 | 2 |
| Extendable Plunger Tool | 85 | 85 |
| Fall of Fort Knocks YC120 | 104 | 104 |
| Feawen's Approval Documentation | 70 | 70 |
| Festival Battlecruiser SKINs and Snowballs Crate | 1 | 1 |
| Festival Calm Dark Filament and Snowballs Crate | 2 | 2 |
| Festival Calm Dark Filament and Snowballs Crate | 4 | 4 |
| Festival Calm Gamma Filament and Snowballs Crate | 3 | 3 |
| Festival Cap and Snowballs Crate | 24 | 24 |
| Festival Destroyer SKINs and Snowballs Crate | 2 | 2 |
| Festival Exploration Suit and Snowballs Crate | 12 | 12 |
| Festival Facial Augmentation and Snowballs Crate | 11 | 11 |
| Festival Facial Augmentation and Snowballs Crate | 12 | 12 |
| Festival Fireworks Crate | 23 | 23 |
| Festival Frigate SKINs and Snowballs Crate | 5 | 5 |
| Festival Snowballs Crate | 22 | 22 |
| Festival Tier 1 Filament Crate | 14 | 14 |
| Festive Firecrackers | 27 | 27 |
| Fierce Abyssal Filaments Crate | 6 | 6 |
| Fireworks Package | 2 | 2 |
| Flow Cytometry Rewards Crate | 389 | 389 |
| Forever 4-4 Fireworks and Launcher Crate | 8 | 8 |
| Forged Frigate Blueprints | 95 | 95 |
| Forward 4-4 Celebration Crate | 4 | 4 |
| Four Freedoms Fireworks Crate | 5 | 5 |
| Fragment Inscribed with Odd Circular Text | 40 | 40 |
| Freezer-Thief Display | 46 | 46 |
| Frozen Droplet of Blood | 42 | 42 |
| Fuel-Stealer Display | 113 | 113 |
| Gala Party Supplies Crate | 2 | 2 |
| Gallente Federation Day Jacket Crate | 1 | 1 |
| Gallente Federation Day Pants Crate | 1 | 1 |
| Gamealfur Ale | 680 | 680 |
| Gnosis & Punisher SKIN Crate | 2 | 2 |
| Golden Sabik Vial | 116 | 116 |
| Grand Teigjon Casino Chip | 37 | 37 |
| Guillome Renard's Sleeper Loot Stash | 112 | 112 |
| Hair Accessory Shipment (Damaged) | 119 | 119 |
| Halloween Horrors Avatar SKIN and Fireworks Crate | 1 | 1 |
| Halloween Horrors Fireworks and Launcher Crate | 101 | 101 |
| Halloween Horrors Fireworks Crate | 1 | 1 |
| Halloween Horrors Headhunter Cruiser SKINs | 1 | 1 |
| Historic Capsuleer Day Clothing Crate | 2 | 2 |
| How to Retire Your Starbase | 31 | 31 |
| Hull Tanking, Elite | 2 | 3 |
| Ice Storm Filaments Crate | 1 | 1 |
| Impetus Trading Cards | 4 | 5 |
| Inactive Sonic Multitool | 49 | 49 |
| Intaki Cycle of Ida Bracelet | 0 | 1 |
| Intaki Spiced Tea | 0 | 1 |
| Interstellar Convergence Booster Crate | 1 | 1 |
| Jezaja's Giant Secure Container | 27 | 27 |
| Jin-Mei Silk Cord | 0 | 1 |
| Jita Protest YC113 | 177 | 177 |
| Jump Fatigue Recovery Agent | 106 | 106 |
| Jump Portal Generation Instruction Holoreel | 88 | 88 |
| Kaalakiota Peaks Vodka | 120 | 120 |
| Kapli Bread | 369 | 369 |
| Kor-Azor Family Decree | 55 | 55 |
| Kri'tak Knife | 377 | 377 |
| Krusual Etched Sticks | 586 | 586 |
| Large Faction Ammunition Crate | 37 | 37 |
| Lifeblood (Collector's Edition) | 135 | 135 |
| Little Helper, Female | 1 | 1 |
| Little Helper, Male | 2 | 2 |
| Livestock-Liberator Display | 94 | 94 |
| Log Fragment 1 (Gala YC121) | 12 | 12 |
| Log Fragment 2 (Gala YC121) | 9 | 9 |
| Log Fragment 3 (Gala YC121) | 19 | 19 |
| Log Fragment 4 (Gala YC121) | 23 | 23 |
| Log Fragment 5 (Gala YC121) | 15 | 15 |
| Log Fragment 6 (Gala YC121) | 25 | 25 |
| Log Fragment 7 (Gala YC121) | 19 | 19 |
| Log Fragment 8 (Gala YC121) | 24 | 24 |
| Lost reminder to pay sov bill | 4 | 5 |
| Lump of Carbon | 27 | 27 |
| Magic Crystal Ball | 1 | 1 |
| Mannar Hair Gel | 1 | 1 |
| Manufacturing Union's Placard | 73 | 73 |
| Matari Word Calendar | 520 | 520 |
| Max Amarria | 43 | 43 |
| Meat Popsicle | 43 | 43 |
| Medium Faction Ammunition Crate | 33 | 33 |
| Men's & Women's Frostline Exploration Suit | 10 | 10 |
| Military Experts and You | 3 | 4 |
| Minmatar Liberation Day Apparel Crate | 2 | 2 |
| Minmatar Liberation Day Fireworks Crate | 9 | 9 |
| Model of a Fighter | 6 | 7 |
| My God, It's Full Of Holes! | 13 | 13 |
| Myrmidon & Tornado Argyros SKIN Crate | 6 | 6 |
| Neutron Flow Polarity Reverser | 58 | 58 |
| New Eden Soundbox | 7 | 7 |
| Permaband Tour Cap Crate | 97 | 97 |
| Permaband Tour T-Shirt Crate | 62 | 62 |
| Polaris Eviction Notice | 69 | 69 |
| POS Fuel | 199 | 199 |
| Postcard From Poitot | 0 | 1 |
| Power-Drainer Display | 75 | 75 |
| Pre-Completed CSM 10 Ballot paper | 145 | 145 |
| Premier ticket for: Clear Skies | 6 | 7 |
| Premier ticket for: Day of Darkness | 5 | 6 |
| Premier ticket for: The last G campaign | 6 | 7 |
| Press pass to Prometheus Station opening | 7 | 8 |
| Project Compass Star Charts | 65 | 65 |
| Public Portrait: How To | 2 | 2 |
| Purgative Coffin | 111 | 111 |
| Quafe Zero Green Apple Party Pack | 1 | 1 |
| Raata Wind Chimes | 0 | 1 |
| Radiation-Rogue Display | 119 | 119 |
| Ration-Grabber Display | 41 | 41 |
| Recycler-Raider Display | 113 | 113 |
| Rejected Ship Replacement Program Request | 108 | 108 |
| Remember Myrskaa Flyers | 66 | 66 |
| Replica Gallente Cruiser | 12 | 12 |
| Replica Miss Federation Trophy | 1 | 1 |
| Replica Mister Federation Trophy | 1 | 1 |
| Replica of the ISCSS Venture | 1 | 2 |
| Rooks & Kings - The Clarion Call Compilation | 65 | 65 |
| Rorqual Design Changes Log | 29 | 29 |
| Rules of Engagement | 8 | 8 |
| Sani Sabik Murder Security Tapes | 195 | 195 |
| Sani Sabik Sermon | 123 | 123 |
| Sansha Claws Fairytale Book | 37 | 37 |
| Sarpati Reserve Brandy | 55 | 55 |
| Scale Model of [RFS] Mah'tu Rea | 85 | 85 |
| Scale Model of a Blue Box | 5 | 5 |
| Scanner-Jacker Display | 32 | 32 |
| Scarlet Embrace Fireworks Crate | 3 | 3 |
| SCC Guidelines - Lotteries For Dummies | 117 | 117 |
| Scotty the Docking Manager's Clone | 2 | 3 |
| Ship Fitting Guide | 0 | 1 |
| Shuttle Piloting For Dummies | 3 | 3 |
| Silver Monocle Interface Crate | 10 | 10 |
| Sisters of EVE Charity Statue | 165 | 165 |
| Slaver Tooth Necklace | 488 | 488 |
| Small Navy Ammunition Crate | 154 | 154 |
| Snow Globe with Peculiar Architecture | 31 | 31 |
| Snowstar Crystalburst Fireworks Crate | 35 | 35 |
| Sort Dragon's Guide To Diplomacy | 43 | 43 |
| Soxfour's Spaceboots | 119 | 119 |
| Spiked Quafe | 250 | 250 |
| St. Tetrimon's Finger | 162 | 162 |
| Starsi | 410 | 410 |
| Superior Exoplanets Hunter Reward Crate | 2,073 | 2,073 |
| Superior Flow Cytometry Rewards Crate | 7,123 | 7,123 |
| Tarot of St. Jamyl | 45 | 45 |
| Ten Most Wanted Slavers | 16 | 16 |
| The Champion Ship | 64 | 65 |
| The Damsel's Drunk Bodyguard | 58 | 58 |
| The Friend Ship | 15 | 16 |
| The Galactic Party Planning Guide | 145 | 145 |
| The Mini Monolith | 2 | 2 |
| The Yulai Siege YC106 | 324 | 324 |
| Titanium Plated Cranial Shielding | 91 | 91 |
| Titanomachy YC116 | 177 | 177 |
| TLF Recruitment Poster | 28 | 28 |
| To Kill the Risen Dead | 39 | 39 |
| Tool-Swiper Display | 82 | 82 |
| Top Grade Deathglow | 8 | 8 |
| Tranquil Abyssal Filaments Crate | 47 | 47 |
| Union of Eight Paths Fireworks Crate | 5 | 5 |
| Unit of Lag | 1 | 2 |
| Upwell Consortium Propaganda Reel | 212 | 212 |
| Vherokior Medicinal Herbs | 274 | 274 |
| Vial of Kyonoke Plague Cure | 60 | 60 |
| Vial of Mikramurka | 447 | 447 |
| Vimoksha Chorus Log 1220108-TD53 | 1 | 1 |
| Vincent Pryce's Warp Disruption Field Generator | 76 | 76 |
| Vintage Wine? | 85 | 85 |
| Vorton Projector Booster Gift Box | 182 | 182 |
| Water-Sucker Display | 68 | 68 |
| XV Anniversary Gift Box (Alpha) | 1 | 1 |
| YC117 Symposium On Emergent Threats Access Pass | 79 | 79 |
| YC118 Succession Trial Champion's Decree - House Ardishapur | 154 | 154 |
| YC118 Succession Trial Champion's Decree - House Kador | 159 | 159 |
| YC118 Succession Trial Champion's Decree - House Khanid | 164 | 164 |
| YC118 Succession Trial Champion's Decree - House Kor-Azor | 171 | 171 |
| YC118 Succession Trial Champion's Decree - House Sarum | 153 | 153 |
| YC118 Succession Trial Champion's Decree - House Tash-Murkon | 117 | 117 |
| YC121 Guardian's Gala Ticket | 335 | 335 |
| Yoiul Festival Fireworks Package | 9 | 9 |
| Yoiul Festival Snowballs Crate | 75 | 75 |
| Yoiul Festival YC120 Coin (Amarr) | 27 | 27 |
| Yoiul Festival YC120 Coin (Caldari) | 14 | 15 |
| Yoiul Festival YC120 Coin (Gallente) | 17 | 17 |
| Yoiul Festival YC120 Coin (Minmatar) | 15 | 15 |
| Yoiul Stormchasers Suit and Cap Crate | 3 | 3 |
| Yoiul Stormchasers T-Shirt and Pants Crate | 38 | 38 |
| Yoiul's Ascent Firework Crate | 25 | 25 |
| Special Edition Implants | Now | Most |
| Genolution 'Auroral' AU-79 | 0 | 1 |
| Genolution Core Augmentation CA-1 | 0 | 1 |
| Genolution Core Augmentation CA-2 | 0 | 1 |
| Genolution Core Augmentation CA-3 | 0 | 1 |
| Genolution Core Augmentation CA-4 | 0 | 1 |
| Special Planetary Materials | Now | Most |
| Guidance Systems | 0 | 40 |
| Specialized Commodities - Tier 3 | Now | Most |
| Biotech Research Reports | 0 | 1 |
| Camera Drones | 0 | 1 |
| Guidance Systems | 2 | 2 |
| Hazmat Detection Systems | 0 | 1 |
| High-Tech Transmitters | 1 | 1 |
| Neocoms | 0 | 1 |
| Nuclear Reactors | 0 | 1 |
| Planetary Vehicles | 0 | 1 |
| Robotics | 8 | 8 |
| Supercomputers | 0 | 1 |
| Synthetic Synapses | 2 | 3 |
| Vaccines | 1 | 1 |
| Spodumain | Now | Most |
| Spodumain | 5 | 5 |
| Stasis Grapplers | Now | Most |
| Heavy Gunnar Compact Stasis Grappler | 32 | 140 |
| Heavy Jigoro Enduring Stasis Grappler | 22 | 139 |
| Heavy Karelin Scoped Stasis Grappler | 20 | 166 |
| Heavy Stasis Grappler 2 | 2 | 2 |
| Shadow Serpentis Heavy Stasis Grappler | 0 | 1 |
| Stasis Webifying Drones | Now | Most |
| Valkyrie SW-600 | 2 | 2 |
| Warrior SW-300 | 8 | 8 |
| Stasis Webs | Now | Most |
| Civilian Stasis Webifier | 48 | 48 |
| Dread Guristas Stasis Webifier | 0 | 1 |
| Federation Navy Stasis Webifier | 1 | 1 |
| Fleeting Compact Stasis Webifier | 565 | 565 |
| Shadow Serpentis Stasis Webifier | 2 | 2 |
| Stasis Webifier 1 | 27 | 27 |
| Stasis Webifier 2 | 18 | 18 |
| X5 Enduring Stasis Webifier | 601 | 601 |
| Stealth Bombers | Now | Most |
| Hound | 1 | 1 |
| Manticore | 1 | 1 |
| Nemesis | 1 | 1 |
| Purifier | 1 | 1 |
| Strategic Cruisers | Now | Most |
| Legion | 1 | 1 |
| Proteus | 1 | 1 |
| Strip Miners | Now | Most |
| Strip Miner 1 | 0 | 2 |
| Strong Boxes | Now | Most |
| Agency Support Drop | 15 | 15 |
| Arms Race Battlecruiser Assembler | 2 | 2 |
| Arms Race Battleship Assembler | 1 | 1 |
| Enforcer - Destroyer Skill Crate | 2 | 2 |
| Enforcer - Frigate Crate | 3 | 3 |
| Enforcer - Frigate Crate | 2 | 2 |
| Enforcer - Frigate Skill Crate | 2 | 2 |
| Industrialist - Cruiser Blueprint Crate | 1 | 1 |
| Industrialist - Destroyer Blueprint Crate | 2 | 2 |
| Industrialist - Frigate Blueprint Crate | 2 | 2 |
| Industrialist - Hauler Blueprint Crate | 1 | 1 |
| Industrialist - Hauler Skill Crate | 1 | 1 |
| Industrialist - Light Combat Drones Crate | 2 | 2 |
| Structure Festival Charges | Now | Most |
| Capsuleer Dawn Firework (Large) | 127,446 | 127,446 |
| Structure Festival Launchers | Now | Most |
| Standup Large Festival Launcher | 1,027 | 1,027 |
| Survey Probe Launchers | Now | Most |
| Survey Probe Launcher 1 | 1 | 1 |
| Survey Probes | Now | Most |
| Discovery Survey Probe 1 | 1 | 1 |
| Quest Survey Probe 1 | 1 | 1 |
| Survey Scanners | Now | Most |
| ML-3 Scoped Survey Scanner | 630 | 630 |
| Survey Scanner 1 | 27 | 27 |
| Survey Scanner 2 | 0 | 1 |
| Talassonite | Now | Most |
| Talassonite | 39 | 39 |
| Target Painters | Now | Most |
| Parallel Enduring Target Painter | 85 | 85 |
| Peripheral Compact Target Painter | 94 | 94 |
| Phased Scoped Target Painter | 147 | 147 |
| Republic Fleet Target Painter | 1 | 1 |
| Target Painter 1 | 5 | 5 |
| Technical Data Chips | Now | Most |
| Thukker Capital Component Manufacturing Technical Data Chip | 0 | 1 |
| Temporal Resources | Now | Most |
| Faded Volatile Ice | 1 | 1 |
| Tools | Now | Most |
| R.A.M. - Ammunition Tech | 2,000 | 2,000 |
| R.A.M. - Armor/Hull Tech | 2,500 | 2,500 |
| R.A.M. - Electronics | 4,200 | 4,200 |
| R.A.M. - Energy Tech | 2,100 | 2,100 |
| R.A.M. - Robotics | 3,300 | 3,300 |
| R.A.M. - Shield Tech | 2,200 | 2,200 |
| R.A.M. - Starship Tech | 1,600 | 1,600 |
| R.A.M. - Weapon Tech | 1,503 | 1,503 |
| R.Db - Boundless Creations | 0 | 1 |
| R.Db - Carthum Conglomerate | 400 | 401 |
| R.Db - Core Complexion | 200 | 201 |
| R.Db - CreoDron | 500 | 520 |
| R.Db - Duvolle Labs | 500 | 501 |
| R.Db - Ishukone | 0 | 20 |
| R.Db - Kaalakiota | 0 | 1 |
| R.Db - Khanid Innovation | 0 | 1 |
| R.Db - Lai Dai | 0 | 1 |
| R.Db - Roden Shipyards | 200 | 200 |
| R.Db - Thukker Mix | 0 | 1 |
| Tops | Now | Most |
| Men's 'Crimson Harvest' T-Shirt | 97 | 97 |
| Men's 'Form' T-Shirt (Blood Raiders) | 5 | 5 |
| Men's 'Hephaestus' Shirt (white/red) | 9 | 9 |
| Men's 'Red Star' T-shirt | 10 | 10 |
| Men's 'Sanguine Harvest' T-Shirt | 1 | 1 |
| Men's 'Serpentis' T-Shirt (olive/black) | 81 | 81 |
| Men's 'Sterling' dress Shirt (red/black leather) | 1 | 2 |
| Men's 'Street' Shirt (urban camo) | 3 | 4 |
| Men's Amarr 'Loyalist' T-Shirt | 78 | 78 |
| Men's Aurora Universalis T-Shirt | 146 | 146 |
| Men's Caldari 'Patriot' T-Shirt | 119 | 119 |
| Men's Capsuleer Day XVI T-Shirt | 195 | 195 |
| Men's Capsuleer Day XVII T-Shirt | 265 | 265 |
| Men's Capsuleer Day XVIII T-Shirt | 237 | 237 |
| Men's Capsuleer Elite XV T-Shirt | 454 | 454 |
| Men's Capsuleer Networker XV T-Shirt | 5 | 5 |
| Men's Exoplanets Hunter T-Shirt | 78 | 78 |
| Men's Gallente 'Defender' T-Shirt | 174 | 174 |
| Men's Interstellar Convergence T-Shirt | 81 | 81 |
| Men's Minmatar 'Liberator' T-Shirt | 105 | 105 |
| Men's Permaband Tour T-Shirt | 133 | 133 |
| Men's Project Discovery Cytometry T-Shirt | 130 | 130 |
| Men's YC119 Yoiul Festival T-Shirt | 127 | 127 |
| Men's Yoiul Stormchasers T-Shirt | 59 | 59 |
| Women's 'Avenue' Shirt (gray camo) | 1 | 1 |
| Women's 'Avenue' Shirt (red patterned) | 1 | 1 |
| Women's 'Crimson Harvest' T-Shirt | 106 | 106 |
| Women's 'Function' T-Shirt (Blood Raiders) | 6 | 6 |
| Women's 'Mirelle' T-Shirt (Upwell) | 1 | 1 |
| Women's 'Red Star' T-Shirt | 4 | 4 |
| Women's 'Sanguine Harvest' T-Shirt | 1 | 1 |
| Women's 'Serpentis' T-Shirt (olive/black) | 97 | 97 |
| Women's 'Sterling' Dress Blouse (Blood Raider) | 0 | 1 |
| Women's 'Sterling' Dress Blouse (olive) | 0 | 1 |
| Women's Amarr 'Loyalist' T-Shirt | 80 | 80 |
| Women's Aurora Universalis T-Shirt | 121 | 121 |
| Women's Caldari 'Patriot' T-Shirt | 116 | 116 |
| Women's Capsuleer Day XVI T-Shirt | 207 | 207 |
| Women's Capsuleer Day XVII T-Shirt | 315 | 315 |
| Women's Capsuleer Day XVIII T-Shirt | 280 | 280 |
| Women's Capsuleer Elite XV T-Shirt | 299 | 299 |
| Women's Capsuleer Networker XV T-Shirt | 7 | 7 |
| Women's Exoplanets Hunter T-Shirt | 81 | 81 |
| Women's Gallente 'Defender' T-Shirt | 129 | 129 |
| Women's Interstellar Convergence T-Shirt | 43 | 43 |
| Women's Minmatar 'Liberator' T-Shirt | 103 | 103 |
| Women's Permaband Tour T-Shirt | 116 | 116 |
| Women's Project Discovery Cytometry T-Shirt | 147 | 147 |
| Women's YC119 Yoiul Festival T-Shirt | 111 | 111 |
| Women's Yoiul Stormchasers T-Shirt | 71 | 71 |
| Torpedos | Now | Most |
| Caldari Navy Inferno Torpedo | 54 | 54 |
| Caldari Navy Mjolnir Torpedo | 3,803 | 3,803 |
| Caldari Navy Nova Torpedo | 4,338 | 4,338 |
| Caldari Navy Scourge Torpedo | 5,540 | 5,540 |
| Inferno Torpedo | 12,600 | 12,600 |
| Mjolnir Torpedo | 13,600 | 13,600 |
| Nova Torpedo | 14,800 | 14,800 |
| Scourge Torpedo | 15,621 | 15,621 |
| Tournament Cards: Alliance Tournament All Stars | Now | Most |
| Alliance Tournament 1: Band of Brothers | 2 | 2 |
| Alliance Tournament 1: KAOS Empire | 4 | 4 |
| Alliance Tournament 10: HUN Reloaded | 4 | 4 |
| Alliance Tournament 10: Verge of Collapse | 5 | 5 |
| Alliance Tournament 2: Band of Brothers | 5 | 5 |
| Alliance Tournament 3: Band of Brothers | 3 | 3 |
| Alliance Tournament 3: Cult of War | 4 | 4 |
| Alliance Tournament 3: Interstellar Alcohol Conglormerate | 3 | 3 |
| Alliance Tournament 4: HUN Reloaded | 3 | 3 |
| Alliance Tournament 4: Pandemic Legion | 3 | 3 |
| Alliance Tournament 4: Star Fraction | 3 | 3 |
| Alliance Tournament 5: Ev0ke | 4 | 4 |
| Alliance Tournament 5: Triumvirate | 3 | 3 |
| Alliance Tournament 6: Pandemic Legion | 3 | 3 |
| Alliance Tournament 6: R.U.R. | 3 | 3 |
| Alliance Tournament 7: Pandemic Legion | 5 | 5 |
| Alliance Tournament 8: HYDRA RELOADED | 2 | 2 |
| Alliance Tournament 8: Pandemic Legion | 3 | 3 |
| Alliance Tournament 9: Darkside. | 4 | 4 |
| Alliance Tournament 9: HYDRA RELOADED and 0utbreak | 4 | 4 |
| Tournament Cards: New Eden Open YC 114 | Now | Most |
| NEO YC 114: 8 CAS | 7 | 7 |
| NEO YC 114: Africa's Finest | 9 | 9 |
| NEO YC 114: Asine Hitama's team | 9 | 9 |
| NEO YC 114: Baaaramu | 5 | 5 |
| NEO YC 114: Blue Ballers | 5 | 5 |
| NEO YC 114: DeepWater | 8 | 8 |
| NEO YC 114: EFS | 7 | 7 |
| NEO YC 114: Expendables | 9 | 9 |
| NEO YC 114: Goggle Wearing Internet Crime Fighters | 12 | 12 |
| NEO YC 114: Guiding Hand Social Club | 6 | 6 |
| NEO YC 114: ISN - Incursion Shiny Network | 14 | 14 |
| NEO YC 114: Last Huzzah | 13 | 13 |
| NEO YC 114: Much Crying Old Experts | 10 | 10 |
| NEO YC 114: My Little Nulli | 7 | 7 |
| NEO YC 114: Oxygen Isonopes | 16 | 16 |
| NEO YC 114: Perihelion Beryllium Duralumin | 12 | 12 |
| NEO YC 114: Raiden. 58th Squadron | 9 | 9 |
| NEO YC 114: RONIN and pixies | 12 | 12 |
| NEO YC 114: Something Else | 13 | 13 |
| NEO YC 114: Team Ineluctable | 15 | 15 |
| NEO YC 114: Tengu Terror | 9 | 9 |
| NEO YC 114: The Exiled Gaming | 12 | 12 |
| NEO YC 114: The Gentlemen Renegades | 15 | 15 |
| NEO YC 114: The HUNS | 19 | 19 |
| NEO YC 114: Tinkerhell and Alts | 5 | 5 |
| NEO YC 114: Why Dash | 10 | 10 |
| NEO YC 114: XXXMity | 7 | 7 |
| Tracking Computers | Now | Most |
| F-12 Enduring Tracking Computer | 381 | 381 |
| Optical Compact Tracking Computer | 562 | 562 |
| Tracking Computer 1 | 24 | 24 |
| Tracking Computer 2 | 32 | 43 |
| Shadow Serpentis Tracking Computer | 3 | 3 |
| Tracking Disruption Scripts | Now | Most |
| Optimal Range Disruption Script | 75 | 85 |
| Tracking Speed Disruption Script | 102 | 102 |
| Tracking Enhancers | Now | Most |
| Domination Tracking Enhancer | 2 | 2 |
| Fourier Compact Tracking Enhancer | 86 | 86 |
| Tracking Enhancer 1 | 13 | 13 |
| Tracking Enhancer 2 | 50 | 50 |
| Tracking Scripts | Now | Most |
| Optimal Range Script | 40 | 40 |
| Tracking Speed Script | 730 | 730 |
| Tractor Beams | Now | Most |
| Small Tractor Beam 1 | 8 | 8 |
| Small Tractor Beam 2 | 4 | 4 |
| Triglavian Data | Now | Most |
| Triglavian Survey Database | 2 | 2 |
| Triglavian Datastreams | Now | Most |
| Triglavian Trinary Datastream AEA1 | 6 | 6 |
| Triglavian Trinary Datastream AEA2 | 5 | 5 |
| Triglavian Trinary Datastream AEA3 | 4 | 4 |
| Triglavian Trinary Datastream AFN1 | 6 | 6 |
| Triglavian Trinary Datastream AFN2 | 2 | 2 |
| Triglavian Trinary Datastream AFN3 | 6 | 6 |
| Triglavian Trinary Datastream DAV1 | 1 | 1 |
| Triglavian Trinary Datastream DAV2 | 2 | 2 |
| Triglavian Trinary Datastream DAV3 | 1 | 1 |
| Triglavian Trinary Datastream HFN1 | 1 | 1 |
| Triglavian Trinary Datastream HFN2 | 1 | 1 |
| Triglavian Trinary Datastream HFN3 | 3 | 3 |
| Triglavian Space Filaments | Now | Most |
| Border-5 'Pochven' Filament | 1 | 1 |
| Glorification-1 'Devana' Filament | 2 | 2 |
| Ubiquitous Moon Asteroids | Now | Most |
| Bitumens | 298 | 298 |
| Brimful Bitumens | 60 | 60 |
| Brimful Coesite | 52 | 52 |
| Brimful Zeolites | 1 | 1 |
| Sylvite | 1 | 1 |
| Zeolites | 1 | 1 |
| Unknown Components | Now | Most |
| Unknown Sequence | 18 | 18 |
| Veldspar | Now | Most |
| Banidine | 90,943 | 90,943 |
| Batch Compressed Concentrated Veldspar | 264 | 264 |
| Batch Compressed Veldspar | 648 | 648 |
| Compressed Concentrated Veldspar | 4,000,084 | 4,000,084 |
| Compressed Dense Veldspar | 32 | 32 |
| Compressed Veldspar | 92 | 92 |
| Concentrated Veldspar | 203,279 | 203,279 |
| Dense Veldspar | 516,855 | 516,855 |
| Stable Veldspar | 1 | 1 |
| Veldspar | 171,710 | 171,710 |
| Warp Accelerators | Now | Most |
| Limited Hyperspatial Accelerator | 1 | 2 |
| Warp Core Stabilizers | Now | Most |
| 'Accord' Core Compensation | 150 | 150 |
| 'Halcyon' Core Equalizer 1 | 137 | 137 |
| 'Repose' Core Compensation | 180 | 180 |
| 'Stoic' Core Equalizer 1 | 175 | 175 |
| Warp Core Stabilizer 1 | 46 | 46 |
| Warp Core Stabilizer 2 | 1 | 1 |
| Warp Disrupt Field Generators | Now | Most |
| Clutch Restrained Warp Disruption Field Generator | 13 | 41 |
| M-36 Enduring Warp Disruption Field Generator | 10 | 51 |
| Pitfall Compact Warp Disruption Field Generator | 17 | 50 |
| Warp Disruption Scripts | Now | Most |
| Focused Warp Disruption Script | 10 | 10 |
| Focused Warp Scrambling Script | 10 | 10 |
| Warp Matrix Filaments | Now | Most |
| Expired Curious Warp Matrix Filament | 3 | 3 |
| Expired Precarious Warp Matrix Filament | 4 | 4 |
| Warp Scramblers | Now | Most |
| Civilian Warp Disruptor | 36 | 36 |
| Dark Blood Warp Disruptor | 3 | 3 |
| Domination Warp Scrambler | 1 | 1 |
| Faint Epsilon Scoped Warp Scrambler | 176 | 176 |
| Faint Scoped Warp Disruptor | 159 | 159 |
| Initiated Compact Warp Disruptor | 450 | 450 |
| Initiated Compact Warp Scrambler | 456 | 456 |
| J5 Enduring Warp Disruptor | 629 | 629 |
| J5b Enduring Warp Scrambler | 725 | 725 |
| Warp Disruptor 1 | 9 | 9 |
| Warp Disruptor 2 | 4 | 14 |
| Warp Scrambler 1 | 15 | 15 |
| Warp Scrambler 2 | 15 | 16 |
| Weapon Disruptors | Now | Most |
| 'Investor' Tracking Disruptor 1 | 0 | 1 |
| A-211 Enduring Guidance Disruptor | 229 | 229 |
| Baker Nunn Enduring Tracking Disruptor 1 | 235 | 235 |
| Balmer Series Compact Tracking Disruptor 1 | 245 | 245 |
| C-IR Compact Guidance Disruptor | 244 | 244 |
| DDO Scoped Tracking Disruptor 1 | 231 | 231 |
| Guidance Disruptor 2 | 1 | 1 |
| Highstroke Scoped Guidance Disruptor | 238 | 238 |
| Tracking Disruptor 1 | 2 | 2 |
| Tracking Disruptor 2 | 1 | 1 |
| Ytirium | Now | Most |
| Ytirium | 50 | 50 |


The workshop proceedings are published in
the ACM International Conference Proceeding Series (ICPS)
and will be made available in the ACM Digital Library (ACM DL).
Colleagues with wider interests in digital library systems for musical
and musicological uses are also encouraged to consider our sister
workshop, Digital Libraries for
Musicology to be held at IRCAM in Paris, France on Friday 28
September 2018.


--- layout: documentation title: PrivilegeType ---
The PrivilegeType type specifies a specific privilege that a user has. This is an abstract type since user privileges are operating-system specific, and is extended as needed in the derived CybOX object schemas.
| Field Name | Type | Description |
|---|


PNB posts profit of Rs 507 crore in Q2
by PTIHighlights
- The state-owned lender had posted a loss of Rs 4,532.35 crore during the same quarter a year ago
- The bank's total income during July-September quarter rose to Rs 15,556.61 crore as against Rs 14,035.88 crore in the same quarter last year, PNB said in a regulatory filing
NEW DELHI: Punjab National Bank (PNB) on Tuesday reported a profit of Rs 507.06 crore for the second quarter ended September 30.
The state-owned lender had posted a loss of Rs 4,532.35 crore during the same quarter a year ago.
The bank's total income during July-September quarter rose to Rs 15,556.61 crore as against Rs 14,035.88 crore in the same quarter last year, PNB said in a regulatory filing.
Gross non-performing assets accounted for 16.76 per cent of the gross advances at the end of September, lower than 17.16 per cent a year ago.
Provisions for bad loans sharply declined to Rs 3,253.32 crore in the quarter, against Rs 7,733.27 crore in July-September 2018.