There is a growing body of evidence that cheating and plagiarism are prominent problems in many universities. In informal conversations, it seems that different students perceive plagiarism differently.  In this paper, we conducted a survey at Howard University to examine or to follow up with this growing trend. Specifically, team leaders in school of business were surveyed early in the Spring Semester of 2010 at a meeting and Freshmen were given the same survey at the end of the semester after their final examination. From the data generated in this survey, we determined the prevalence of cheating and the reasons why students cheat. This report is of great importance because it exposes the extent of academic dishonesty and, if successfully implemented, it could provide resources that would aid universities in solving the cheating problem.

Radio Frequency Identification (RFID) uses radio waves to track the movement of goods through the Supply Chain system. The identity of an object is captured with a unique serial number that is transmitted wirelessly to a computer system. Small businesses are facing RFID implementation barriers.  The barriers range from the perspective of the consumer-goods manufacturers and retail organizations.  We propose implementing RFID technology using cloud computing framework to alleviate or reduce the implementation cost which is the most prevalent barrier.

Radio Frequency Identification (RFID) uses radio waves to track the movement of goods through the Supply Chain system. The identity of an object is captured with a unique serial number that is transmitted wirelessly to a computer system. Small businesses are facing RFID implementation barriers.  The barriers range from the perspective of the consumer-goods manufacturers and retail organizations.  We propose implementing RFID technology using cloud computing framework to alleviate or reduce the implementation cost which is the most prevalent barrier.

Data transmitted from one location to the other has to be transferred reliably. Usually, error control coding algorithm provides the means to protect data from errors. Unfortunately, in many cases the physical link can not guarantee that all bits will be transferred without errors. It is then the responsibility of the error control algorithm to detect those errors and in some cases correct them so that upper layers will receive error free data. The polynomial code, also known as Cyclic Redundancy Code (CRC) is a very powerful and easily implemented technique to obtain data reliability. As data transfer rates and the amount of data stored increase, the need for simple and robust error detection codes should increase as well. Thus, it is important to be sure that the CRCs in use are as effective as possible. Unfortunately, standardized CRC polynomials such as the CRC-32 polynomial used in the Ethernet network standard are known to be grossly suboptimal for important applications, (Koopman, 2002). This research investigates the effectiveness of error detection methods in data transmission used several years ago when we had to do with small amount of data transfer and data storages compared with the huge amount of data we deal with nowadays.  A demonstration of erroneous bits in data frames that may not be detected by the CRC method will be shown. A corrective method to detect errors when dealing with humongous data transmission will also be given.