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RISS 인기검색어
- 검색키워드
- 저자 : Kanimozhi, Catherine (검색결과 11 건)
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Kanimozhi, R.,Selvi, K. The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.4
In electric power system, the line stability indices adopted in most of the instances laid stress on variation of reactive power than real power variation of the transmission line. In this paper, a proposal is made with the formulation of a New Voltage Stability Index (NVSI) which originates from the equation of a two bus network, neglecting the resistance of transmission line, resulting in appreciable variations in both real and reactive loading. The efficacy of the index and fuzzy based load flow are validated with IEEE 30 bus and Tamil Nadu Electricity Board (TNEB) 69 bus system, a practical system in India. The results could prove that the identification of weak bus and critical line in both systems is effectively done. The weak area of the practical system and the contingency ranking with overloading either line or generator outages are found by conducting contingency analysis using NVSI.
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V. Kanimozhi,T. Prem Jacob 한국통신학회 2019 ICT Express Vol.5 No.3
One of the latest emerging technologies is artificial intelligence, which makes the machine mimic human behaviour. The most important component used to detect cyber attacks or malicious activities is the intrusion detection system (IDS). Artificial intelligence plays a vital role in detecting intrusions and widely considered as the better way in adapting and building IDS. In modern days, neural network algorithms are emerging as a new artificial intelligence technique that can be applied to real-time problems. The proposed system is to detect a classification of botnet attack which poses a serious threat to financial sectors and banking services. The proposed system is created by applying artificial intelligence on a realistic cyber defence dataset (CSE-CIC-IDS2018), the latest IDS Dataset in 2018 by Canadian Institute for Cybersecurity (CIC) on AWS (Amazon Web Services). The proposed system of Artificial Neural Networks provides an outstanding performance of Accuracy score is 99.97% and an average area under ROC(Receiver Operator Characteristic) curve is 0.999 and an average False Positive rate is a mere value of 0.03. The proposed system of Artificial Intelligence-based Intrusion detection of botnet attack classification is powerful, more accurate and precise. The novel proposed system can be applied to conventional network traffic analysis, cyber-physical system traffic analysis and also can be applied to the real-time network traffic data analysis.
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V. Kanimozhi,T. Prem Jacob 한국통신학회 2021 ICT Express Vol.7 No.3
Our paramount task is to examine and detect network attacks, is one of the daunting tasks because the variety of attacks are day by day existing in colossal number. The program proposed detects botnet attacks using the newest CSE-CIC-IDS2018 cyber dataset published by the Canadian Cybersecurity Establishment (CIC). The cyber dataset can be accessed on AWS (Amazon Web Services). The realistic network dataset consists of all the modern and existing attacks such as Brute-force attacks and password cracking, Heartbleed, Botnet, DoS (Denial of Service), DDoS also known as Distributed Denial of Service, Web attacks i.e. vulnerable web app attacks, and infiltration of the network from inside. The objective of the proposed research is to identify a classification of Botnet attacks. Botnet attack is a Trojan Horse malware attack that poses a serious security threat to the banking and financial sectors. Since a specific classifier could possibly work for such datasets it is crucial to finish a comparative examination of classifiers in order to achieve the most noteworthy execution in such basic detection of network attacks. The proposed framework is to incorporate different classifier methods such as KNearset Neighbor classifier, Naïve Bayes, Adaboost with Decision Tree, Support Vector Machine classifier, Random Forest classifier, and Artificial Intelligence to distinguish a portrayal of botnet attacks on the recent and realistic cyber dataset CSE-CIC-IDS2018. The results of the classification are given as precise precision for the specific classifiers. And furthermore, the proposed framework uses the Calibration curve as a standard approach in analytical methods which generates reliability diagrams to check the predicted probabilities of various classifiers are well-calibrated or not. Finally, the displayed graph proves how well the artificial intelligence technique outperforms all other classifiers which generates reliability diagrams to check the predicted probabilities of various classifiers are well-calibrated or not.
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R. Kanimozhi,K. Selvi 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.4
In electric power system, the line stability indices adopted in most of the instances laid stress on variation of reactive power than real power variation of the transmission line. In this paper, a proposal is made with the formulation of a New Voltage Stability Index (NVSI) which originates from the equation of a two bus network, neglecting the resistance of transmission line, resulting in appreciable variations in both real and reactive loading. The efficacy of the index and fuzzy based load flow are validated with IEEE 30 bus and Tamil Nadu Electricity Board (TNEB) 69 bus system, a practical system in India. The results could prove that the identification of weak bus and critical line in both systems is effectively done. The weak area of the practical system and the contingency ranking with overloading either line or generator outages are found by conducting contingency analysis using NVSI.
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Analytical Hierarchy Process – Study on its Applicability on Web Based Environment
M. Daya Kanimozhi Rani,Dr. S. Sakthivel 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.4
Availability of finite set of alternative solution for any problem tends to make decision making an inevitable part of today’s opportunistic world. Generally Decision making is made based on various perspectives like psychological, cognitive, normative means. In all situations Cost-Benefit analysis forms the key reason for decision making. Multi Criteria Decision Making (MCDM) methods make the analysis of highly complex system much easier. Analytical Hierarchy Process (AHP) is one of the popular MCDM methods which works on priority theory. AHP is modeled in such a way that the experts make pairwise comparison of all available alternatives and rank them accordingly. This study identifies the application of AHP on various fields like web service selection, web development platform, selecting a website for online advertisement, banking and many. And finally this study identifies various methodologies to rank the alternatives in AHP method and try to associate its applicability with various other MCDM methods.
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Gajalakshmi, Vendhan,Kanimozhi, Vendhan Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.3
Background: Tobacco is consumed in both smoking and smokeless forms in India. About 35-40% of tobacco consumption in India is in the latter. The study objective was to describe the association between chewing tobacco and adult mortality. Materials and Methods: A case-control study was conducted in urban (Chennai city) and rural (Villupuram district) areas in Tamil Nadu state in South India. Interviewed in 1998-2000 about 80,000 families (48,000 urban and 32,000 rural) with members who had died during 1995-1998. These were the cases and their probable underlying cause of death was arrived at by verbal autopsy. Controls were 600,000 (500,000 urban, 100,000 rural) individuals from a survey conducted during 1998-2001 in the same two study areas from where cases were included. Results: Mortality analyses were restricted to non-smoking non-drinkers aged 35-69. The age, sex, education and study area adjusted mortality odds ratio was 30% higher (RR:1.3, 95%CI:1.2-1.4) in ever tobacco chewers compared to never chewers and was significant for deaths from respiratory diseases combined (RR:1.5, 95%CI:1.4-1.7), respiratory tuberculosis (RR:1.7, 95%CI:1.5-1.9), cancers all sites combined (RR:1.5, 95%CI:1.4-1.7) and stroke (RR:1.4, 95%CI:1.2-1.6). Of the cancers, the adjusted mortality odds ratio was significant for upper aero-digestive, stomach and cervical cancers. Chewing tobacco caused 7.1% of deaths from all medical causes. Conclusions: The present study is the first large study in India analysing non-smoking non-drinkers. Statistically significant excess risks were found among ever tobacco chewers for respiratory diseases combined, respiratory tuberculosis, stroke and cancer (all sites combined) compared to never tobacco chewers.
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Sabarish Sekar,Kanimozhi Periasamy,Nagarajan Krishnan 아시아심장혈관영상의학회 2019 Cardiovascular Imaging Asia Vol.3 No.2
Congenital anomalies involving termination of a coronary artery and a fistulous communication with any cardiac chamber, pulmonary artery/vein, superior vena cava, or coronary sinus are defined as coronary cameral fistulas. Multi-detector computed tomography (MDCT) angiography with electrocardiographic gating precisely demonstrates complex and multiple coronary fistulas, their course and drainage routes, and relationships with surrounding structures, and MDCT is the primary modality for diagnosis, pre-treatment planning, and follow up of coronary cameral fistulas. We report three cases involving two elderly adults and a three-yearold child who were suspected to have coronary cameral fistulas and underwent MDCT to confirm the diagnosis and delineate the fistula, emphasising the unique role of MDCT in their diagnosis and management, along with a review of the literature.
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Gajalakshmi, V.,Kanimozhi, C.V.,Sinha, D.N.,Rahman, K.,Warren, C.W.,Asma, S. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.2
Background: The results of the Global School Personnel Survey (GSPS) conducted in India in 2009 are compared with 2006 GSPS to assess any change in 2009 on tobacco use and knowledge and attitudes to tobacco use, training and availability of tobacco control teaching material in schools and the existence of school tobacco control policies. Methods: GSPS is a cross sectional survey conducted twice (2006 and 2009) in entire India. A total of 180 schools were surveyed each time. Results: Of the participating school personnel, 2660 in 2006 and 2575 in 2009, about 95% were teachers and the balance administrators. In 2009, compared to 2006 the prevalence of current smoking of cigarettes (19.6% in 2006 and 10.3% in 2009) and bidis (21.5% in 2006 and 13.9% in 2009) was found to be significantly lower; the percentage of teachers receiving training on preventing youth tobacco use has significantly reduced (16.7% in 2006 and 10.1% in 2009); access of teachers to educational materials on tobacco use and how to prevent its use among youth had not increased (34.6% in 2006 and 37.8% in 2009); there was no change in policy prohibiting tobacco use among students and school personnel; however, ever use of any tobacco on school premises was significantly lower (15.6% in 2006 and 9.6% in 2009). Conclusions: The prevalence of current smoking (cigarettes/bidis) among school personnel and use of any tobacco on school premises were significantly decreased in 2009 as compared to 2006. Necessary action should be planned to increase the number of teachers trained and the availability of teaching materials on preventing youth tobacco use in order to have effective prevention of tobacco use among students.
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Effect of Dipolar Molecule Structure on the Mechanism of Graphene-Enhanced Raman Scattering
Joo, Yongho,Kim, Myungwoong,Kanimozhi, Catherine,Huang, Peishen,Wong, Bryan M.,Singha Roy, Susmit,Arnold, Michael S.,Gopalan, Padma American Chemical Society 2016 JOURNAL OF PHYSICAL CHEMISTRY C - Vol.120 No.25
<P>Graphene-enhanced Raman scattering (GERS) is a promising characterization technique which uses a single layer of graphene. As the electronic coupling of adsorbates with graphene leads to enhancement in the Raman signal, it is of immense interest to explore the factors that affect the coupling of the adsorbates with graphene. To probe this effect we have designed and synthesized a series of dipolar molecules with the general structure, N-ethyl-N-(2-ethyl(1-pyrenebutyrate)-4-(4-R-phenylazo)aniline) where the R-groups are varied from methoxy (-OCH3), methyl (-CH3), hydrogen (-H), nitrile (-CN), nitro (-NO2) to tricyanofuran (TCF) groups. This systematically changes the dipole moments and electronic/optical band gap of the molecules. By noncovalently interfacing these molecules on graphene, the Raman signal is enhanced by a factor of 40-90 at the excitation wavelength of 532 nm. Measurements of the Raman enhancement factor and Raman cross section are complemented with DFT calculations to correlate the dipole moment and the energy level of the hybrid to the Raman scattering efficiency. These studies highlight the relevance of the dipolar nature of chromophores, which determines their dipole moment and the band gap, and the resulting electronic coupling to graphene which simultaneously alters the energy level of the orbitals in the molecule and the Fermi level in graphene, resulting in efficient Raman excitations and GERS.</P>
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