Obviously, I don’t have a complete 100% grasp on what the compiler for the Graphviz program works, but I have some ideas. I assume the first thing that happens is our .dot file is scanned for tokens. It must search through the file and scan the stream of characters recognizing that certain characters represent numbers, words, brackets, or end of lines. I’m not sure how the relationship between the Parser and the Scanner works in this compiler. With our simple python compiler, the Parser already had defined what to look for and it worked with a specific program structure that you couldn’t differentiate from as the programmer. Here, the parser doesn’t care what order the code is written (I can put the node declarations before the edge …show more content…
After parsing and building the AST, the parser hands the tree representation off to the semantic analyzer. In the case of the visgraph language, this is probably simpler than most semantic analyzer’s and it probably just ensures that everything makes sense from a logical point of view. It probably does things like check that a polygon wasn’t declared with -1 sides or that a box was declared with 3 sides. It ensures that the program is sound and makes sense so that it knows what to do during code/picture generation. From what I’ve found, when things don’t make sense (for example if I declare a polygon with -1 sides) it just omits that element from the graph completely. Without any visible knowledge of some sort of super complex error handling going on I imagine this portion of the visgraph compiler is somewhat simple. Unlike other compilers it doesn’t have to do as much logical analysis to make sure things like object types align (which you might see in a compiler for a statically typed language). We would usually then expect the AST to be handed to an optimizer, which I’m not sure is existent in the visgraph compiler. It might have an optimizer that handles things like removing any duplicate node declarations just to make code generation easier. Similar to the case of the python compiler, I’m not sure how much optimizing can really be done here. We’re not writing code to perform logic,
Syntax that is meaningful and easy to understand. Even a very large and complex programming has a
2. What does a compiler do? What kinds of errors are reported by a compiler?
As technology advances so does the threat to our privacy as citizens, we enter into this technological world worried only with what’s new and hot and not diving deeper into how these devices are collecting data on us. One of these new devices is called a Radio Frequency Identification (RFID) it’s a wireless system of both what is called tags and readers that pick up radio waves and hold information. The many uses include Inventory control, Equipment tracking, Out-of-bed detection and fall detection (FDA).
RFID (radio frequency identification) is a new technology that threatens to take the place of bar codes in the supply chain world. The technology uses electromagnetic fields to automatically identify and track tags attached to objects. This innovation can provide many benefits in logistics and may revolutionize the entire industry. But, even though the technology provides many benefits it also has many drawbacks and may not be developed enough to become industry standard. The technology also may not be beneficial or cost effective for every business and will require a total overhaul of businesses infrastructure, which can be extremely costly. Furthermore, both bar codes and RFID technology have many pros and cons, also industry may not be ready to implement RFID into their infrastructure.
There are many different kinds of technologies that are available for the world to use today. We have the convenience of all different types data input and output devices and the means to store and make available at lightning fast speeds. Some of the input devices that we use every day are essential in different kinds situations and projects everyday. We also use many different types of output devices to view our finished product. The input devices that we use are keyboards, scanners, a mouse, and a few others in there as well. We use output devices to see our finished result or our desired outcome just as much, or if not more than input devices. Some of these output devices are monitors, printers, LCD
Many modern defensive technologies focus on protecting military equipment. Radar and sonar technologies are standard additions to most planes, submarines, and ships. Radar and sonar allow the plane or ship to locate any possible incoming enemy and allows submarines to better navigate the seas in front of them. With a warning for upcoming enemies, these planes and ships have a much greater chance of getting the first attack (America in the 20th Century: World War II). Many aircrafts also use stealth technology that was created during World War Two in Germany. As this technology has improved, it can make a plane seem invisible, and allows a plane to reduce its reflection, radio frequency spectrum, and radar and infrared emissions. This makes the plane much harder to locate by shortening signals that could be received by an enemy. Aircrafts with this technology are much harder to attack, and therefore, offer a significant advantage in any hostile aerial situation (Chow). With today 's advancement in technological defence, it would be very difficult to pull off a large successful attack against a rival country.
The concept of cut operators, which was borrowed from Prolog [6], enables grammar writers to control backtracking. By manually inserting cut operators into a PEG grammar, an efficient packrat parser that can dynamically reclaim unnecessary space for memoization can be generated. To evaluate the effectiveness of cut operators, a packrat parser generator called Yapp was implemented that accepts cut operators in addition to ordinary PEG notations. The experimental evaluations showed that the packrat parsers generated using grammars with cut operators inserted can parse Java programs and subset XML files in mostly constant space, unlike conventional packrat parsers. In [9] methods are proposed that achieve the same effect in some practical grammars without manually inserting cut operators. In these methods, a parser generator statically analyzes a PEG grammar to find the points at which the parser generator can insert cut operators without changing the meaning of the grammar and then inserts cut operators at these
Advanced and developed robotic technology might just be the best thing that has happened to the world. All of the technology improving has got everyone where they are today. From updating people on emergency news, to using gps on the cellphone when lost, to quicker ways of diagnosing in hospitals. Robotic developments do have its downside on its improvements. But today’s technology is very useful on cellphones, in the medical field, and the space exploration.
With the rapid development of ubiquitous computing technologies, the concept, the principle architecture, and the mechanisms behind decision support systems evolve significantly. Ubiquitous support systems operate in an environment that proactively assists people in their daily lives under changing circumstances. In such a dynamic situation, what might be a good decision in one scenario, could be an awful one for another scenario. As such, the best decision usually depends on the current situation.
As a complex and integrated system, the act of administering of justice incorporates a variety of components to function as efficiently and justly as possible. In order to do so, three institutions, the police, the courts, and corrections, coexist. Each establishment has its own hierarchies and regulations, but all without major contradiction with the others’.
The prototype model has been fabricated which are very simple in design and convenient to implement. Depending on the desired results, many iterations in design of the model has been made keeping cost and feasibility of the model as the key factors. These design variations gives a scale change in the emissions readings from the exhaust flow. The variations in design of proto-type turbulence modeling are listed in Table 1:
In summary, this paper analyzes the high frequency Receiver Functions (RFs) to map the intra-crustal discontinuities and estimate the Poisson’s ratio and S-wave velocity beneath Jammu and Kashmir. The authors assume that the layers beneath stations are flat with isotropic structures and apply three different methods to confirm their results, however, they also need to focus on the analysis of observations to support their assumption. There are several places to improve in terms of clarity, English grammar, syntax from abstract to conclusion. My major comments on each section are as follow:
as it written in a low level language it isn’t as efficient as others that many use high-level languages.
It simply performs character comparisons between the text and pattern. In case of a mismatch the index pointer moves by exactly one to the right. This algorithm is pretty slow and takes Θ(mn) time to find the given pattern in the text.
Graphical representation are efficient for investigating and analyzing the data flow properties of DSP system and for exploiting the inherent parallelism among the different subtask. More importantly graphical representation can be used to map DSP algorithm to hardware implementation. This graphical representation can build the gap between algorithmic description and structural implementation. It exhibits all parallelism and data driven properties of the system and provide an insight into space and time tradeoffs.