Doctor of Philosophy (Ph.D.)
Computational Science and Informatics
George Mason University
2004
Daniel N. Owunwanne, Ph.D. is an associate professor in the Department of Information Systems & Decision at the Howard University School of Business. He joined the Department of Information Systems & Decision Sciences in 2003, after serving as an adjunct professor at the University of the District of Columbia, Washington DC, and instructor at Elizabeth City State University, NC. Owunwanne is a member of a number of professional organizations which include: Interface of North America and Classification Society of North America, International Digital Business Academy, Virginia Academy of Science, Association of Computing Machinery, Special Interest Group on Computer Graphics, and National Association of Mathematics.
Computational Science and Informatics
George Mason University
2004
Computer Science
Howard University
1986
Computer Information Systems Management
State University College at Buffalo
1983
The Importance of Data Transmission with Media Access Control (MAC) and Error Correction Using Automatic Repeat Request (ARQ). Howard University School of Business. $9,500. Summer 2010.
An Investigation of Error Detection in Data Transmission Using the Polynomial Code Method. Howard University School of Business. $6,000. Summer 2008.
Data Interoperability in Homogeneous (IBM DB2 and SQL Server ) Distributed Database Systems. Howard University School of Business. $6,000. Summer 2006.
In recognition of outstanding and invaluable service to the community by the United States House of Representatives.
In recognition and appreciation of commitment to strengthening the US Nation and for making a difference through volunteer service. Presented by the President’s Council on Service and Civic Participation.
Awarded by the Department of Information Systems and Decision Sciences by the Howard University COBIS Society in March 30, 2007.
Students' Perceptions Of Cheating And Plagiarism In Higher Institutions
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.
Analysis Of The Effectiveness Of Error Detection In Data Transmission Using Polynomial Code Method
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.
“Cheating/Misconduct in Higher Education – Challenges and Solution.” Presented at the Washington Business Research Forum, Arlington, Virginia, March 2019.
“The Power of Six Sigma.” Presented at the Modern Technology and Management Institute (MTMI), Virginia Beach, VA; September 2016.
“The Analysis and Effectiveness of Six Sigma.” Presented at the International Educators Group and International Academy of Business, Washington, DC; October 2016.
“An Exploration of Views On Cheating and Plagiarism Among University Students.” Presented at the Washington Business Research Forum, Arlington, VA; March 4, 2016.
“Plagiarism and Cheating In Institution of Higher Learning – An Exploration.” Presented at the International Educators Group and International Academy of Business, Washington, DC; October 17, 2015.
“Addressing the Perceptions of Students’ Cheating and Plagiarism in Institutions of Higher Learning.” Presented at the Modern Technology and Management Institute (MTMI), Virginia Beach, VA; September 12, 2015.
“The Importance of Data Transmission With Media Access Control (MAC) And Error Correction Using Automatic Repeat Request (ARQ).” Presented at the Modern Technology and Management Institute, Virginia Beach, VA; September 2013.
“Assessing Cancer Status in Developing Countries Using Cloud Computing and Informatics Tools.” Presented at the MTMI Annual International Conference on Global Issues in Business and Technology, New Carrollton, MD; October 20-22, 2011.