different levels of abstraction areconsidered below. The examples, described in the following subsections, use a sample logicalDB named MUSIC, MUSIC = {C, S, A}, which contains information about recording companies(C), singers (S), and albums issued (A), is build up of the following relational schemas: C (CNo, CName, URL, City); S (SNo, SName, Address, Phone, Email); A (ANo, CNo, SNo, AName, AType, Price, Qty, Year).For simplicity of the DB structure, it is assumed that the DB contains only albums of soloperformers. However, it is possible for a singer to have more than one album produced by onecompany, but a maximum of one album per year.2.1. Defining Queries by Using
scientists have a long tradition, continuing to the present, of lively debateconcerning the nature of their discipline.”2 The same could be said about each of theother disciplines discussed here. The approach used herein is to use the definitions asstated in the literature of the epochs examined.Computer ScienceComputers first began appearing in US universities in the 1930’s and early 40’s at MIT(differential analyzer), Harvard (Mark 1) and Penn (ENIAC and EDVAC). At first thesewere mechanical, followed by electro-mechanical, analog, and finally by digital as thecomputational research of the second world war filtered back into the universitylaboratories.3 It is interesting to note that academic departments devoted to the studies ofcomputers did not
laboratories.Because of the small sample size, questions were limited to a small number that could beused to improve the learning experience for other students. Each survey question wasexplained to the students to eliminate confusion and allow students to provide an honestevaluation of their experience. For the convenience response, students were asked to ratethe user interface and their ability to access the remote server at any time. Equipmentaccess was related to their ability to schedule an equipment pod(s) needed for a Page 11.885.7laboratory exercise. The next question was directed toward the student reservationsystem, e.g. ability to reserve desired time(s
acquired.ConclusionThe teaching of attack understanding based information assurance requires the use ofguaranteed isolation of laboratory networks. Providing Distance Education courses witha remote laboratory network presents challenges to providing adequate isolation. The useof IP-KVM switches adds a very strong layer of isolation, and in combination with theuse of emulation software such as VMWare or other virtual operating systemenvironment, provides an adequately isolated laboratory network for some exercises.References[1] Frincke, D., “Who watches the security educators?”, Security & Privacy Magazine, IEEE Volume 1, Issue 3, May-June 2003 Page(s):56 – 58[2] Eppes, T. & Schuyler, P., “A General-Purpose Distance Lab System
Recognition, Article Published by HTG Systems.[3] Joyce, R. and G. Gupta, “Identity Authentication Based on keystroke Latencies,” Communications of ACM,Volume 33, Issue 2, ( February 1990). Retrieved on 8th March 2005.[4] Kung, S., Biometric Authentication: A Machine Learning Approach, First Edition , Published by Prentice Hall,PTR.[5] Obaidat, S. and B. Sadoun, Verification of Computer users using Keystroke Dynamics,” IEEE, Volume 27,Issue 2, (April 1997). Retrieved from IEEE on 16th February 2005.[6] Peacock, A., Learning User Keystroke Latency Patterns, acquired fromhttp://pel.cs.byu.edu/~alen/personal/CourseWork/cs572/KeystrokePaper/index.html [7] Umphress, D., and G. Williams, Identity Verification Through keyboard Characteristics
@ 5,215,000 @ 802520 @ 3400 > 4,000,000 k/s p/s c/s Unknown c/sAs it was demonstrated, password auditing is a very effective method of ensuring that anorganization has strong authentication procedures. There are many password auditingapplications available to companies. Among all the applications that were tested, LC5 proved to Page 11.985.8be the most efficient and comprehensive. It was shown how important strong passwords are forsecurity. 7Bibliography[1] @stake LC5. Available from
have examined the influence of cognitivestyles in hypermedia environments. Ford and Chen 18 investigated the relationship betweenmatching and mismatching instructional presentation with students’ cognitive style. Significantdifferences in performance were noted on a multiple test of conceptual knowledge betweenmatched and mismatched test subjects. Parkinson and Redmond 22 examined the impact ofcognitive style on learning performance within three different computer media: text, CD-ROM,and Internet site. They concluded that learning performance was enhanced when cognitive stylewas considered. Pask 7, in a series of experiments conducted in the 1970’s, found dramaticeffects in terms of learning effectiveness when complex academic subject matter
of varying media into highly technological solutions.Nathan Bingham, Purdue University Nathan S. Bingham is a Web Application Programmer with Purdue University’s Continuing Education and Conferences Division. He is currently leading a redesign of the division three websites and online registration system with a focus on improving accessibility, web standards compliance, and usability. Nathan recently graduated with Honors from Purdue’s Computer Graphics Technology program, specializing in Interactive Multimedia Development.Meiqi Ren, Purdue University Meiqi Ren is a Graduate student in the Department of Computer Graphics Technology at Purdue. She is also a Research Assistant for Purdue's
, Proceedings of 2005 ASEE AnnualConference, Session 2658, June 15-17, 2005, Portland Oregon.7. Krug, S., Don’t Make Me Think: A Common Sense Approach to Web Usability, NewRider Press, Indianapolis, IN, 2000.8. Marcus, A., The emotion connection, Interactions, November-December, 2003, 28-34.9. McCracken, D. and Wolfe, R., User-Centered Website Development: A Human-Computer Interaction Approach, Pearson Education Inc., Upper Saddle River, NJ, 2004.10. Menezes, P., Barreto, J.C. and Dias, J., Face tracking based on Haar-like features and Page 11.919.12eigenfaces, 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal,July 5-7, 2004.11. Open
Understand and utilize Knoppix Cheat Codes Boot Knoppix into RAM Define KDE graphical Environment Define and use the Linux Console.Orientation Boot Knoppix List locations from where Knoppix may be downloaded Utilize KDE Menu System Use Kinfo to ascertain system resourcesAdvanced List major features of the Knoppix Interface.Orientation Identify your Ethernet Configuration(s). Use TCP/IP utilities to identify your network connections. Use basic TCP/IP utilities to footprint an organizationGetting Help Use the Linux Man pages to obtain help
2006-1831: SECURITY EDUCATIONTim Lin, California State Polytechnic University-PomonaSaeed Monemi, California State Polytechnic University-Pomona Page 11.1109.1© American Society for Engineering Education, 2006 Security EducationAbstract:Network security and computer security are usually hot topics whenever any intrusion incidentscause system crash and loss of work time in big corporations. In engineering colleges howeversecurity is usually a topic with least or incompatible attention.The author has taught many upper division classes in college and also graduate course(s) and hasbeen trying to imbue and enhance the courses with the security
actions or operations of producing something. The attributes of abusiness process can be either descriptive or quantitative. Businesses usually use one or more ofthese attribute(s) or metrics to represent the performance of the process (i.e. cycle time,inventory turns, and ratios of various sorts). Requirements for process improvement arestatements supporting the need to change the actions within the process to improve its overallperformance. This is a form of general requirements analysis. While some believe there is noway to generally analyze an enterprise others have examines some techniques to do so(Kowalkowski and McElyea).This paper will provide a step-by-step approach to examine and assess current business processesusing a context based