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Parkavi, R.
- Network Intrusion Detection & Prevention
Abstract Views :224 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science. A.D.M College For women (Autonomous), Nagapattinam, IN
2 Computer Science, A.D.M College for Women(Autonomous), Nagapattinam, IN
3 Computer Science, A.D.M College for Women(Autonomous), Nagapattinam, IN
1 Department of Computer Science. A.D.M College For women (Autonomous), Nagapattinam, IN
2 Computer Science, A.D.M College for Women(Autonomous), Nagapattinam, IN
3 Computer Science, A.D.M College for Women(Autonomous), Nagapattinam, IN
Source
Automation and Autonomous Systems, Vol 5, No 6 (2013), Pagination: 244-247Abstract
Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.Keywords
Intruders, Information Security, Real Time Ids, Attacks, Distributed System, Detection.
- A Statistical Approach for setting SLO Targets over Outcome Based Education-A Case Study
Abstract Views :208 |
PDF Views:4
Authors
Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
Source
Journal of Engineering Education Transformations, Vol 0, No SP 1 (2018), Pagination:Abstract
One of the major challenges in engineering education is to train the students in an efficient way to determine the exposable skills in a collaborative manner to solve complex and weakly structured problems. This research work focus towards the development of a predictive data analytical model using statistical inference techniques. Each of the courses instructed to the students will have certain outcomes to be addressed. Experimental evaluation has been done with the non-applicability of active learning strategies and applicability of active learning strategies over the course outcome values attained by the students over the two batches of students. The data has been formalized to normal distribution to discover the statistical relevance. Newly formulated control limits have been established to determine the course outcome target value. With the initialization of heuristic values we came to a conclusion over the target fixing mechanism for the attainment of course outcomes. Hence from these results we can obviously fix the student target measures for any subjects by which we can deploy the mechanism of deliverables over the reality and the nature of the courses to be learnt.Keywords
Predictive Analysis, Statistics, Education Technology, Control Limits, Course Outcomes, Target Measures.- Impact of Massive Open Online Courses and Best Practices: A Case Study on Social Network Analysis Course
Abstract Views :155 |
PDF Views:3
Authors
Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
Source
Journal of Engineering Education Transformations, Vol 31, No 3 (2018), Pagination: 136-140Abstract
Transformations in Engineering Education is to improve the quality of engineering education in learning and research as well as in student development, faculty development, curriculum development and teaching technology methods which involve active learning strategies.Nowadays teaching method takes a new transformation from the conventional method of learning to digital learning like e-learning and m-learning. To improve the students learning ability, a teacher will play a role as mentor/facilitator rather than a teacher. In this paper, we have considered the Impact of Massive Open Online Courses and its Best Practices as a case study on Social Network Analysis Course for the students of third-year Information Technology (IT) department.Keywords
Engineering Education, Massive Open Online Courses, Social Network Analysis, Active Learning Strategies, Course Outcomes.- A Strategic Approach in Handling Information Retrieval Course for Attaining Course Outcomes – A Case Study
Abstract Views :240 |
PDF Views:132
Authors
Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
2 Department of CSE, GKM College of Engineering and Technology, Chennai, IN
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
2 Department of CSE, GKM College of Engineering and Technology, Chennai, IN
Source
Journal of Engineering Education Transformations, Vol 34, No SP ICTIEE (2021), Pagination: 148-153Abstract
Background: The major challenge in engineering education is to educate and train the student’s community with pedagogical practices in order to determine the notable skills to solve more complex and fragile structured problems. Innovative pedagogical practices make the students to adhere to the complex formulations of the corresponding domain and its applications. The realm of good understanding of knowledge and its deliverables can be ascertained through pedagogical practices with a focus on learner-centric activities in the classroom teaching.
The actual target in teaching learning process is to make all the students to have a good exploration on the domain knowledge with success ratio. The learner success is considered to be the core metric with which we can judge the success of learner-centric activities with creativity and quality processes. Confirming the process in which the learners are engaged with the key ideas of the course to be taught makes the students to have practical implementations in Teaching-Learning process.
Objective: This research work focus on the assessment and evaluation of learner-centric techniques for outcome based education upon statistical evaluation. Students of third year (VI Semester) of two consecutive batches have been analyzed for the course on Information Retrieval (14ITPS0). Two set of batches 2015-19 and 2016-20 have been considered for the assessment and analysis of Active Learning Strategies (ALS). The incorporation has been processed using the strategic approach based on daily, weekly and monthly assessments focusing on student learning criteria and their responding behaviors for 2016-20 batch. Each paradigm has been measured corresponding to the course outcomes at each level. Significant statistical analysis has been made for validating the process behind the teaching learning process.
Real time case study: Considering the batch 2015-19 summary assignments, presentations has been used for the evaluation and assessment of interim assignments. The observed response from the students went well among the student’s community. All the students have been registered for the course and they too have completed the same. But, the time and success ratio in learning mechanism varied from student to student upon completion of the course. Considering the batch 2016-20 active learning strategies such as Quiz by Kahoot!, Flipped classroom activity and MOOCs course has been incorporated. Also, for MOOC’S online courses a set of two courses has been identified relevant to the subject of study such as Text Retrieval and Search engines & Text mining and Analytics. For the Research problem identification the students are allowed to choose the domain specific topics for the course on information retrieval. In this process the time and success ratio has also been observed it also varied from one student to another.
Keywords
Education Technology, Course Outcomes, Target Measures, Interim Assessment, Learner-Centric Activities, Outcome-Based Education.Full Text
- Optical detection of Copper and Cadmium from Aqueous solution using Arylidenemalanonitriles
Abstract Views :63 |
PDF Views:0
Authors
Affiliations
1 Department of Chemistry, Thiruvalluvar University, Vellore - 632115, India, IN
2 Department of Chemistry, Thiruvalluvar University, Vellore - 632115, India., IN
3 Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai - 603110, India .i, IN
4 Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai - 603110, India., IN
1 Department of Chemistry, Thiruvalluvar University, Vellore - 632115, India, IN
2 Department of Chemistry, Thiruvalluvar University, Vellore - 632115, India., IN
3 Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai - 603110, India .i, IN
4 Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai - 603110, India., IN
Source
Asian Journal of Research in Chemistry, Vol 15, No 1 (2022), Pagination: 19 - 26Abstract
We have synthesized new fluorescent organic molecules namely arylidene malanonitriles, through Knovenegal condensation reaction of aryl aldehydes and malanonitrile, which are capable of detectingCd2+and Cu2+ ions in water with sensitivity. The synthesized molecules are characterized through infrared spectrometry, high resolution Mass spectrometry and Nuclear Magnetic Resonance spectroscopy. The fluorescent organic molecules exhibited a fluorescent emission and significant UV-Vis absorption, the intensity of which is increased proportional to the addition of Cd2+ and Cu2+ ions. The lowest detection limit for the Cd2+and Cu2+ were found to be 2.0×10-10 M and 4×10-12 M, respectively.Keywords
Knovenegal reaction, Malanonitrile, Fluorescent sensor, Photoluminescence, Heavy metal detection.References
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