Arulmurugan Ramu
@meu.edu.et
Associate Professor,Dept.of IT
Mattu University,Ethiopia
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
Scopus Publications
Scopus Publications
S. Ganeshkumar, S. Venkatesh, P. Paranthaman, R. Arulmurugan, J. Arunprakash, M. Manickam, S. Venkatesh, and G. Rajendiran
Hindawi Limited
In machining processes, cutting tools play a dominant role in producing quality products. The quality of finished goods is directly related to the cutting tool condition. Several types of research have been carried out in cutting tool condition monitoring. On the other hand, the manufacturing industries should be aware of the cutting tool selection, operating conditions, and performance of cutting tools. This article emphasizes the performance of coated cutting tools and tool materials for various machining operations. Nowadays, the nanocoating of CNC tool inserts increases the wear resistance, vibration emissions, metal removal rate, etc. These coating techniques influence the manufacturing industry to increase the productivity and quality of the finished goods and reduce the machining cost. The performance of thin film multilayered coatings such as TiN, TiAlN, AlTiN, Ti, and TiCN on plain silicon carbide tool inserts is revealed by the researchers to guide the manufacturing industry for proper tool selection and standard machining inputs for metal removal operation. The influence of coating material such as TiBN, TiN, TiAlN, and CrAlSiN in cutting tools leads to increase the life time of the cutting tools, which decreases the material sticking and cutting forces. Titanium carbo nitride is wear-resistant and corrosion-resistant. Compared to TiCN, TiAlN is harder due to the higher hardness of 32 GPa. This article concludes the material selection based on the work piece material which yields good metal removal with less cutting forces. The article concludes the cutting material selection based on the work piece for machining operations.
N. VasanthaKumari and R. Arulmurugan
Springer International Publishing
Fazly Salleh Abas and R Arulmurugan
Elsevier BV
Anandakumar Haldorai and Arulmurugan Ramu
Springer Science and Business Media LLC
Anandakumar Haldorai, Suriya Murugan, and Arulmurugan Ramu
Wiley
AbstractArtificial intelligence (AI) aims at critically transforming the information and communication technology (ICT) sector through various technological advancements, such as machine learning, deep learning, and natural language processing. These technologies are meant to develop the process of communication, digital commerce, content, and apps. AI is also meant to initiate novel business frameworks and formulate a completely novel business opportunity as efficiencies and interfaces facilitate the engagement, which has been heretofore unintelligible. A number of industry verticals will be changed through this form of evolution, as digital and ICT technologies are critical in supporting the various aspects of industrial operations, which include sales, marketing processes, supply chains, product and service delivery, and support frameworks. For instance, substantial implication of the frameworks can be witnessed in medical and bioinformatics, including the financial service segments. Workforce automation is a field that will influence various industrial verticals, as AI significantly develops the flow of work, accelerations, and processes of the return on investment for intelligent workplace application. This paper signifies the role of AI in ICT education, including the way intelligent ICT education has significantly developed its application and challenges.
Arulmurugan Ramu, Mu-Yen Chen, Sri Devi Ravana, and Anandakumar Haldorai
Springer Science and Business Media LLC
Deepalakshmi Senthilkumar and Arulmurugan R
Elsevier BV
Anuj Rapaka and Arulmurugan Ramu
Springer International Publishing
Anandakumar Haldorai and Arulmurugan Ramu
Elsevier BV
M. S. Mrutyunjaya, R. Arulmurugan, and H. Anandakumar
Springer International Publishing
D. Devikanniga, Arulmurugan Ramu, and Anandakumar Haldorai
European Alliance for Innovation n.o.
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain. It has proved its efficiency on producing good diagnostic parameters. These results can be further improved by optimizing the hyperparameters of support vector machines. The proposed work is based on optimizing support vector machines with crow search algorithm. This optimized support vector machine classifier (CSA-SVM) is used for accurate diagnosis of Indian liver disease data. The various similar state of art algorithms are taken for comparison with proposed approach to prove its efficient. The performance of CSA-SVM is found to be outstanding among all other approaches in terms of all metrics taken for comparison. It has yielded the classification accuracy of 99.49%.
A. Haldorai, A. Ramu, and M. Suriya
Springer International Publishing
A. Haldorai, A. Ramu, and M. Suriya
Springer International Publishing
A. Haldorai, A. Ramu, and M. Suriya
Springer International Publishing
Anandakumar H. and Arulmurugan R.
IEEE
The fundamental purpose of this article is to develop the performance evaluation of wireless network protocols centered on simulation composed of a formal performance evaluation. This model is critically referred to as the evaluation of protocols that define wireless networks, including the evaluation of their capabilities to tolerate the problems that arise because of the uncertainties defining wireless networks. These issues also define the topology of wireless networks concerning the protocols of internal algorithms. Overall purpose simulation applications do not utilize actual world models of wireless network, including the findings of simulation experiments which differ over simulators that have scant connections to fieldwork experiments. Moreover, the proposed model can produce more exhaustive and robust measures of evaluation, for simulation, it is flawed to communicate a network detail that is overgeneralized. In this article, we have analyzed a graphical specification model that provides the evaluation of topology effects in the performance evaluation through visualizing spatial features of wireless network and critical performance measures. Distinct to the graphical visualization application, the recommended model integrates a simulation tool that used a crucial Castalia simulator and probabilistic framework that uses a prism.
Anandakumar H. and Arulmurugan R.
IEEE
A pervasive and extensive communication, obtainment and processing of the wireless communication network is evident as a significant development of the 5th generation network. The evolution, in reference to the current cellular technology is evolving the 5th generation to a novel smart grid. The 5th generation wireless network exhibits fundamental services for timely and crucial application for the smart grids. Currently, the electricity market is supplied with the 5th generation network as a new organization framework to enhance the manner in which the utility relates to the smart grids. This research work is purposed to present a thorough evaluation of the 5th generation network and its vision concerning the smart grids. The critical evaluation presented in this paper discusses the current wireless initiatives and the potential architectural transitions evident in the past few years. Moreover, to effectively comprehend the user-centered analyses of the smart grid systems, a thorough evaluation of the 5th generation architecture with the grids is vital. The present status of the 5th generation is the smart grid with various analyses for energy abundances as enumerated in this research paper. The focus presented in this paper focuses on future potential smart grids communication frameworks composed of future roadmaps and the problems that should be visional. The full research provides a thorough evaluation of the 5th generation network in accordance to future smart networks.
Anandakumar H. and Arulmurugan R.
IEEE
The fifth generation wireless communication network has been considered to be a vital enabler of communication and infrastructure in the internet and communication technology industry. The idea of 5G has allowed companies to offer a lot of services based on a wide speculation of networking necessities. The 5G requirements cellular connections are expedited and this represents more of user technologies since it determines the designed philosophy over the wireless communication networks. This paper critically analyses the vital element in the revolutionary methodologies in the fifth generational era, which initiates the emergence of artificial intelligence in the mobile cognitive networking industry. This technology includes resource management techniques, service management, mobility, configuration problems and the introduction of new networking services. The new services will consider evaluating all the fifth generation networks that have a deficiency of artificial intelligence functionalities. Henceforth, this research has introduced the vital concepts in artificial intelligence, which critically evaluates the connection between artificial intelligence and the user competencies in the 5G to attain and evaluate the cellular intelligence.
Anandakumar H. and Arulmurugan R.
IEEE
The scaled commercial positioning of the 5th generation wireless network has forced organizations and researchers to consider launching the upcoming generation of mobile network systems. In that regard, this paper proposes to critically evaluate the 6th generation wireless communication, potential problems and novel technologies in the future. The article begins with the evaluation of the future of the 6th generation and its vision with respect to the preferences of users. To fulfill the research objective, it is vital to analyze the technical necessities and the key challenges that ensures that the 6G mission is achieved, which involves the ultimate throughput, connectivity, self-aggregating network fabrics, new theories, non-technical issues and greater energy effectiveness. The evaluation of the future mobile communication involves novel technologies such as new spectrum, visible light network and terahertz wireless network. Additional technologies featured include the sparse theories, new channeled code, extensive antenna, flexible spectrum utility and the artificial intelligence-based wireless networking tactile. Through the exploration of the 6th generation vision, the challenges and requirements, it is possible to outline the general model of the 6G, which possibly provides a guide to enhance research on the 6th generation network.
Anandakumar H. and Arulmurugan R.
IEEE
This research paper is an analysis on how to handle the complex multi agent systems. The technologies focused in this paper are the social multi agent systems. Moreover both complex and techno-social systems are related due to the major elements and features they possess such as the numerous level of organization, large number of entities, the pre-existing systems, and the autonomous units. Hence, the main remedy for curbing the control problem foreseen is centered on the paradigm of various multi-agents. Moreover, the paradigm if effectively designed in handling complex systems due to how it handles various description levels simultaneously. The major objective of this paper is pointing out the major query that emanates now the multi-agent patterns utilized during the regulation of various complex systems. In this paper, probable solutions will be presented by an equation, which exhibits open control design based on the multi-agent simulations. A unique example for the enactment of the prospected architecture has also been shown in the paper. The execution process of these elements is conducted considering a collective nature of the techno-social frameworks, such as open riding for peer-peer sharing of files within a common network. Various outcomes used in the implementation of the technology shows that the prospected architecture is in a position of taking control on the entire network. Lastly, the contribution made in this paper is making sure that the major queries have been identified during the process of utilizing the multi-agent prototype deployed for solving various complex frameworks, and targeted system units.
H . Anandakumar, R. Arulmurugan, and Chow Chee Onn
Springer Science and Business Media LLC