13 Apr 2009
AUTOMATIC EASY ASSESMENT
Is the use of an electronic machine to make essay evaluation also this based on e-leaning course of action.
SHORT NARATION OF THE REASEARCH
As proposed during 1960’s by researchers who did the investigation which based on automatic essay assessment .In 1966 the researchers conducted the project called (PEG) which measures:
(a)The total number of words.
In measurement of number of word helps the user to evacuate the required amount in a specific task of presentation.
(b)The length of the essay
While in extent to size/ height / length of an essay helps the tutor to perform his / her commission of marking those coursework.
AIMS OF AUTOMATIC EASSAY ASSESSMENT
(i) Steer clear of plagiarism
This is the situation of taking some one word or ideas and own as yours without any permission from the owner of that property.
(ii) Progressive of marking reliability
Also this was among the aims because it helps the tutors to be consistence to perform well their markings through the use of computers and other devices which simplified the work.
(iii) Prove individualized and detailed feedback to the students
Apart from performing job or task well also it brings more about the comprehensive response the student concerned.
(iv) Make evaluation
In this factor shows how to analyze the out come contents of the assessment of automatic process of essay.
(v) determine the grade
Lastly but not the least it settle on the verification of the scores, ranking, rating and other things of that like as to shoe the top of the billboard.
SOME CRITERION FOR MAKING EVALUATION
During the evaluation of automatic essay assessment the tutor / teachers / lectures / trainer were able to follow the IEA system of describing;
(a) Mechanics
This was the evaluation which based on word choice as the criterion of assessment.
(b) Content
Also the similarity of the course work was preferred the trainers so as to make easy evaluations on grading the scores of the students.
(c) Plagiarism
And the similarity of the words or ideas of two or more people also was considered so as to avoid the breach of copping.
(d) Technique
As style of the same approach is important even in our daily life activities so as to have coherence work style of forthcoming the question
SIGNIFICANCE OF AUTOMATIC ESSAY ASSESSMENT
Always in this section we are only considering in two sides as for
(i)Teachers
(a) It accumulates time in marking procedure
(b) It saves time in making evaluation.
(c) It helps to make a final scorer.
(d) It helps a teacher to be uniformity
(ii) Students
(a) It makes challenges to students to reflect critically.
(b) It provides real feedback to the students.
(c) It looks the qualities of the students work and not comparisons with others.
(c) It support students to reflect learning process
CHALLENGES
(i) Expenditure for manufacture program.
(ii) Reduces accepted wisdom capability of the teacher.
(iii) Require high qualified people on system.
(iv)The written work should be readable by a computer/main frame.
CONCLUSION
The use of automatic essay assessment we have in daily life is applicable for future use of computer to make whole corrections of essay as well.
Refference
(i)T.Kakkonen,alt, (2007). Department of Computer Science and Statistics.University of Joensuu, Finland.
(ii)M.Mozgovoy, alt(2007), Using Natural Language Parsers in Plagiarism Detection. Proceedings of the SLaTE Workshop on Speech and Language Technology in Education. Farmington, Pennsylvania, USA.
(iii) Y,Attali.alt. (2006). Automated essay scoring with e-rater v.2. Journal of Technology,Learning,and assessment.
(iv)www.wikipedia.com
(v)www.4shared.com
By Venance
11 Apr 2009
SPEAKER RECOGINITION
Name of presenters-Reuben Minael &Benjamin Mkwese
Name of Representer- Venance Luhemeja
Name of the Lecture Prof: Matti Tedre.
Lesson –Research field of computer science.
Introduction of Speaker Recognitions
The term Speaker recognition as the narrator of an amplified sounds or voice so as to make detection of the appreciated or approved sound has been determine in most of we Human being because we are able to be acquainted with someone just by hearing him / her when talking.
By definition!
Speaker recognition is the automatically process of making out distinguish between untruthfully and identified spoken based on his or her sound / voice.
Also speaker recognition has been categorized into two classes as
(a) Speaker Verification
(b) Speaker Identification.
Speaker verification, this is the authentication of sound or voice spoken to make
Proof of the recognized speech
While
Speaker Identification is the detection of sound or voice spoken to make discovery of the recognized speech.
HOW THE SYSTEM OF SPEAKER RECOGNITION WORKS
Firstly after storing of the sound or voice to be recognized, the amplified sound signals are converted from analogy to digital signals and make comparison of both current and previous speech and finally is machine instructions as workout exercise.
SOME REASONS WHY USING SPEAKER RECOGNITION
(i) Security operations
(ii) Access control to restricted services
(iii) Military operations.
Speaker recognition is very significant method using in our daily life tricks due to the fact that it helps us to be secure with our properties and make privacy of our own jobs.
Also helps in our governance community to make peace through hidden information to avoid misinformation and misunderstanding among people and society at all.
And lastly but not the least when military armies attack their enemies helps in secure of their information from enemies.
WHERE SPEAKER RECOGNITION CAN BE USED?
According to our lesson we came to observed that speaker recognition can be used in three different aspects techniques as;
(a)Authentication;
Allows people using to identify themselves nothing else but verification of their voices and sound.
(b)Surveillance;
In security agencies i.e. means of collecting information for inspection and observations as well.
(c)Forensic;
Identification proving of the recorded voice to be recognized by the user.
PROBLEMS OF USING SPEAKER RECOGNITION
Although speaker recognition seems as the best way of making people’s privacy but has got many challenges and bellow are some of challenges;
(i)Determination of the acceptable units of voice / sound
-It difficult to make the same correctly speech of the recorded and that used when doing speech recognition.
(ii)Restriction of signal boundary
-Also is difficult to make limitation of signal units when prepare speaker recognition due to the fact that we human being had variety of speech and sound.
(iii)Variability of sound / voice of speech.
-Also it is to make sound / voice to be vary in different accurate lather than to be in restricted point due to sinusoidal frequency of speech
HOW TO MINIMIZE CHALLENGES?
Although is difficulty to overcome the whole problems of speaker recognition but it can be minimized through various ways as stated below;
(a) Utilize the precisely expressions compulsory.
-it will easy to minimize when we use exactly sound and voices pertaining to recorded one.
(b) Maintain the preserved voice pitch.
-Also we should be supposed to upload or retain the recognized speech.
(c) be conscious of the upbringing circumstances
-We are supposed to understand the recognized order of speech.
Termination;
Speaker recognition is the best way of keeping our privacy securely but don’t make trustfully on that because when despoiled it can led a superior quandary as problems to your either country or company or Government or Army and finally you can be seen as untruthfully person.
Refference
(i)Nolan, F. The Phonetic basis of Speaker Recognition (Cambridge University Press, Cambrige 1983).
(ii)Martin. B.T, Dixon.R.N(1979)Automatic Speech and Speaker Recognition.
(iii)Schroeder. R.M(1985)Speech and Speaker Recognition.
(iv)http://www.scholarpedia.org/article/Speaker_recognition
Prepared by venance.
CRYPTOGRAPHY RESEARCH PROPOSAL
Lesson - Research field of computer science Presentation name - CRYPTOGRAPHY presentatives names- Joseph Uhemba&
This helps the governments especially on that governance with the computerized system so as to secure their information in order to avoid conflicts and misinformation among the society and their neighbor country.
(i)http://www.wikipedia.com
(ii)Alexander, MD (1993), Protecting Data With Secret Code, Infosecurity News
(iii)Diffi, W and Etal (1976), New Directions in Cryptography, IEEE Transaction on Information theory.
(iv)Meyer, CH, and Etal (1982), Cryptography, A New Dimension in Computer Security. New York, NY.
(v)Kessler, GC. (1998), An Overview of Cryptography