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Hi Team, I want to upload pdf file and show it in the browser as it is. I was able to read pdf file using pdfbox but cannot display the content ...

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places; that when you are near water it is possible to ''smell" it; and that you can hear running water So, you begin by moving downhill because water is unlikely to be uphill Next you come across a deer trail that also runs downhill Knowing that this may lead to water, you follow it You begin to hear a slight rushing off to your left Knowing that this may be water, you cautiously move in that direction As you move, you begin to detect the increased humidity in the air; you can smell the water Finally, you find a stream and have your drink As you can see, heuristic information, although neither precise nor guaranteed, increases the chances that a search method will find a goal quickly, optimally, or both In short, it increases the odds in favor of a quick success You may think that heuristic information could easily be included in programs designed for specific applications, but that it would be impossible to create generalized heuristic searches This is not the case Most often, heuristic search methods are based on maximizing or minimizing some aspect of the problem In fact, the two heuristic approaches that we will look at use opposite heuristics and yield different results Both of these searches will be built upon the depth-first search routines The Hill-Climbing Search In the problem of scheduling a flight from New York to Los Angeles, there are two possible constraints that a passenger may want to minimize The first is the number of connections that have to be made The second is the length of the route Remember, the shortest route does not necessarily imply the fewest connections A search algorithm that attempts to find as a first solution a route that minimizes the number of connections uses the heuristic that the longer the length of the flight, the greater the likelihood that it takes the traveler closer to the destination; therefore, the number of connections is minimized In the language of AI, this is called hill climbing The hill-climbing algorithm chooses as its next step the node that appears to place it closest to the goal (that is, farthest away from the current position) It derives its name from the analogy of a hiker being lost in the dark, halfway up a mountain Assuming that the hiker's camp is at the top of the mountain, even in the dark the hiker knows that each step that goes up is a step in the right direction Working only with the information contained in the flight-scheduling knowledge base, here is how to incorporate the hill-climbing heuristic into the routing program: Choose the connecting flight that is as far away as possible from the current position in the hope that it will be closer to the destination To do this, modify the find( ) routine as shown here:.



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/* Given from, find the farthest away "anywhere" */ int find(char *from, char *anywhere) {

EXAMPLE 2-12 A high-voltage transmission line with a resistance of 0065 /mi distributes power to a load 220 miles away Modeling the load as a resistor, nd the load resistance R L such that the power at the load is 500 MW What percentage of power generated by the source is wasted as heat dissipated by the transmission line The power source is Vs = 300 kV SOLUTION The high-voltage transmission line can be modeled as a resistor RT The total resistance of the line is RT = (0065 /mile) (220 miles) = 14





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Visible light has a characteristic wavelength in the range of approximately 3900 to 7700 Electromagnetic energy outside this range is no longer visible to the human eye Another term sometimes used to express wavelength is the micron (10 6 m), which is a thousand times greater than the nm The term mu represents an abbreviation for micrometer and is commonly used by astronomers In the event you are curious as to why the Greek symbol mu was not used, according to legend it was not available in the typeset used initially by astronomers, resulting in mu being used to form the abbreviation micrometer The following table indicates the representative wavelength of visible colors in terms of mu that correspond to our friend, Mr Roy G Biv , mentioned earlier in this book

Page 629 int pos, dist; pos=dist = 0; find_pos = 0; while(find_pos < f_pos) { if(!strcmp(flight[find_pos]from, from) && !flight[find_pos]skip) { if(flight[find_pos]distance>dist) { pos = find_pos; dist = flight[find_pos]distance; } } find_pos++; } if(pos) { strcpy(anywhere, flight[pos]to); flight[pos]skip = 1; return flight[pos]distance; } return 0 }

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If the user's computer have Adobe Reader installed then the addon is also installed. As for example, all you have to do is to add a webbrowser control to your form. When you want to open a specific pdf file, you call the Navigate method of the webbrowser and pass in the path to the pdf file.

/* structure of the flight database */ struct FL { char from[20]; char to[20]; int distance; char skip; /* used for backtracking */ }; struct FL flight[MAX]; /* array of db structures */

The model for the entire system is actually very simple The system can be modeled by a circuit consisting of the source, the transmission line, and load all connected in a series This is shown in Fig 2-15 Voltage dividers can be used to give the voltage across each resistor VT = RT Vs , RT + R L VL = RL Vs RT + R L

The find( ) routine now searches the entire database, looking for the connection that is farthest away from the departure city

Page 630 int f_pos = 0; /* number of entries in flight db */ int find_pos = 0; /* index for searching flight db */ int tos = 0; struct stack { char from[20]; char to[20]; int dist; } ; /* top of stack */

Representative wavelength (microns)

(225)

struct stack bt_stack[MAX]; /* backtrack stack */ void setup(void), route(char *to); void assert_flight(char *from, char *to, int dist); void push(char *from, char *to, int dist); void pop(char *from, char *to, int *dist); void isflight(char *from, char *to); int find(char *from, char *anywhere); int match(char *from, char *to); int main(void) { char from[20], to[20]; setup(); printf("From "); gets(from); printf(''To "); gets(to); isflight(from,to); route(to); return 0; } /* Initialize the flight database */ void setup(void) { assert_flight("New York", "Chicago", 1000); assert_flight("Chicago", "Denver", 1000); assert_flight("New York", "Toronto", 800);

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