PB1B

   The research paper I looked at talked about wireless sensor networks(WSN), which are freely-spaced sensors with the task to cooperatively transfer their data through the network to a specific location. It addressed the issue that these sensors face in network congestion, which is reduced quality of service that happens when a network node(point of intersection or connection)carries more data than it is capable of. The paper immediately begins to introduce higher-level terminology and explains what they mean. For example, context-free grammar-as described in the text-is a set of writing rules that "embodies the theoretical principles of programming languages." This is important to do because introducing terms that may seem new to some readers can draw away interest from the text.

   One writing convention evidently seen in this paper is a problem and a potential solution to this problem that is put to test. This paper argues that "few analysts would disagree with the deployment of context-free grammar." In order to solve this issue, they used multimodal models to show that write-ahead logging and simulated annealing(technique used to compute the global optimum of a given function) can help overcome this problem.
 
    The writing and representation of the text itself is another key convention to research papers. Within this research paper are the clearly labeled sections that contain discussions of the problem. It offers a numbered outline with an introduction, supporting body paragraphs, and a conclusion analyzing the results from the experiment. Following the results, are the ways in which these results are helpful(or not) in solving this previously stated issue. Other things that follow are an explanation of the ways in which the model can be improved. Another important factor is a step-by-step explanation of the experiment and its design(shown through visual representations) to better help familiarize the reader. The text is split into six categories. Some headings, such as the title, are made larger and bolder to emphasize the question being asked or the experiment being put to test.

   Research papers also include qualitative and quantitative research. Qualitative research refers to the process in which you ask questions and come up with procedures, collect data, analyze that data, make inferences based off of one's own generalizations in a particular instance, as well the interpret what the data means and how it affects the outcome of the experiment. Quantitative research refers to the way in which one tests a theory through the examination of the relationship among variables in the experiment. The results obtained from such practice can then be used to create statistical representations of the results such as graphs. An example of this is seen the section Architecture where they "assume that Smalltalk can be made classical, extensible, and concurrent...We use our previously deployed results as a basis for all of these assumptions." Because of results previously obtained, they are able to make assumptions about other future results even though the variables in the experiment are subject to change. Making inferences is important in this textual genre because an essential part to experiments is being able to deduce from ones learning.
 
   Lastly, this text uses scholarly references relating to the subject being addressed in order to create validity. When a writer includes adequate resources, it helps build their case.