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L. Jeganathan

Bio: L. Jeganathan is an academic researcher from VIT University. The author has contributed to research in topics: Graph (abstract data type) & RNA splicing. The author has an hindex of 3, co-authored 17 publications receiving 33 citations. Previous affiliations of L. Jeganathan include Indian Institute of Technology Madras.

Papers
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Proceedings ArticleDOI
01 Nov 2018
TL;DR: In this paper, the authors proposed a discipline-independent framework for the curriculum of EE 4.0, in which all the engineering disciplines get amalgamated, to generate a unique discipline called Engineering4.0.
Abstract: The fourth industrial revolution, named as, Industry 4.0 encapsulates the industrial productions oriented towards an intelligent cum autonomous manufacturing process, that in turn, depends upon cyber physical systems, design cum development of cyber physical production systems whose operations are monitored, coordinated, controlled and integrated by a computing & communication core. So, for an effective implementation of Industry 4.0, Engineers should have expanded design skills that cover interoperability, virtualisation, decentralisation, Real time capability, service orientation, modularity etc. along with the information technology skills. So, Engineering Education which generates engineers for Industry 4.0, referred as Engineering Education 4.0 (EE 4.0) should get transformed to meet the demands of Industry 4.0, that stresses the integration of all the engineering disciplines. Instead of the present discipline-dependent curriculum, this paper proposes a discipline-independent framework for the curriculum of EE 4.0, in which all the engineering disciplines gets amalgamated, to generate a unique discipline called Engineering 4.0. Every Engineer who comes out of the proposed curriculum will have the basic skills of all the disciplines, social responsibility and professional ethics. Learning outcomes, measured in the usual way with the standard tools , are mapped with the skill-requirement of industry 4.0.

21 citations

Proceedings Article
01 Jan 2008
TL;DR: A fountain pen in which ink is supplied to the tip of the pen under the control of a motor-actuated ink delivery device and a detector is provided in the ink pool for detecting the quantity of ink therein at any time.
Abstract: A fountain pen in which ink is supplied to the tip of the pen under the control of a motor-actuated ink delivery device. An ink holder is formed covering the slit formation region of the pen tip to form an ink pool between the holder and pen tip. A detector is provided in the ink pool for detecting the quantity of ink therein at any time. A pen holder coupled to the pen tip includes an ink storing section opening into the ink pool, an ink delivery device coupled to the ink storing section for delivering ink under pressure, and an electrical power source and a power delivery circuit for controlling the flow of current to an operating motor.

5 citations

Journal ArticleDOI
TL;DR: This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains and incorporates asymmetry information into a computer aided diagnosis system, enhances its performance in identifying the anomalies exists in bilaterally symmetrical brain images.
Abstract: Computer aided diagnosis (CAD) is an advancing technology in medical imaging. CAD acts as an additional computing power for doctors to interpret the medical images which leads to a more accurate diagnosis of the disease.CAD system increases the chances of detection of brain lesions by assisting the physicians in decreasing the observational oversight in the early stage of diseases.This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains.Because of the bilateral symmetric nature of human brain, a symmetry based cellular automata model is proposed.An algorithm is designed based on the proposed model to detect the anomaly prone areas in brain images. The proposed model can be a standalone model or it can be incorporated to a sophisticated computer aided diagnosis system. By incorporating asymmetry information into a computer aided diagnosis system, enhances its performance in identifying the anomalies exists in bilaterally symmetrical brain images.

4 citations

Journal ArticleDOI
19 Dec 2018-Symmetry
TL;DR: An angle-based CA model is proposed to accommodate various lattices in CA and the star graph representation helps to find out the internal symmetries exists in CA rules, which generates symmetric patterns.
Abstract: Cellular automata (CA) are parallel computational models that comprise of a grid of cells. CA is mainly used for modeling complex systems in various fields, where the geometric structure of the lattices is different. In the absence of a CA model to accommodate different types of lattices in CA, an angle-based CA model is proposed to accommodate various lattices. In the proposed model, the neighborhood structure in a two dimensional cellular automata (2D-CA) is viewed as a star graph. The vertices of the proposed graph are determined by a parameter, angle ( θ ) . Based on the angle ( θ ) , the neighborhood of the CA, which is treated as the vertices of the graph, varies. So this model is suitable for the representation of different types of two dimensional lattices such as square lattice, rectangular lattice, hexagonal lattice, etc. in CA. A mathematical model is formulated for representing CA rules which suit for different types of symmetric lattices. The star graph representation helps to find out the internal symmetries exists in CA rules. Classification of CA rules based on the symmetry exists in the rules, which generates symmetric patterns are discussed in this work.

4 citations

Journal ArticleDOI
TL;DR: This paper proposes a comprehensive graph reproduction system (GRS) and identifies a specific reproduction system that turns out to be a graph self-replicationSystem (GSS), with which a copy of any given graph can be produced through an algorithmic process.
Abstract: The self-replication introduced by John von Neumann is a process that produces a copy of itself. As a novel approach, this paper studies the self-replication process through the process of reproduction. In this paper, we propose a comprehensive graph reproduction system (GRS) and identify a specific reproduction system that turns out to be a graph self-replication system (GSS), with which a copy of any given graph can be produced through an algorithmic process. Unlike the GRS studied by Richard Southwell, our model considers the evolution of edges along with the evolution of vertices. We analyze some of the existing reproduction models through our system and identify the models that are self-replicable.

3 citations


Cited by
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Journal ArticleDOI
TL;DR: This issue marks a transition and a changing of the guard for Computational and Mathematical Methods in Medicine as Hindawi takes the helm and converts CMMM to the community-based, open access model that they have so successfully championed.
Abstract: This issue marks a transition and a changing of the guard for Computational and Mathematical Methods in Medicine (CMMM). It is with some nostalgia that we look back on our long and illustrious association with Taylor and Francis; however, at the same time we look to the future with optimism and hope as Hindawi takes the helm and converts CMMM to the community-based, open access model that they have so successfully championed. The Hindawi Publishing Corporation is one of the fastest growing academic publishers worldwide with over 200 academic journals in their portfolio and a commitment to the highest levels of peer review and excellence. Reflecting on the genesis and evolution of CMMM, it is clear that Brian Sleeman, the founding Editor-in-Chief, showed great foresight in creating a journal that brought together the disparate disciplines of mathematics and medicine and that continues to play a major role in the development of mathematical medicine. He worked passionately to develop and promote the journal through some difficult times, with the insight and courage to bring together both biomedical/clinical scientists and mathematical scientists onto a single editorial board (a practice that has become more commonplace in subsequent journals in the field). The success that the journal has enjoyed thus far is a clear testament to his hard work, dedication, and vision. The journal has continued to provide a unique forum for the dissemination of interdisciplinary research resulting from collaborations between clinicians/experimentalists and theoreticians. CMMM has also continued to evolve rapidly, reflecting the increased focus on systems and interdisciplinary collaborative efforts across the breadth of biomedical, clinical, and translational research areas. The past year also saw the result of much hard work, with the inclusion of the journal in PubMed/Medline and the Science Citation Index Expanded. This was a great development for the journal since it not only has had an enormous impact on the general awareness and profile of the journal but has also resulted in increased submissions and downloads from the journal website over the past year. It has been exciting and rewarding to see the journal develop and evolve in this manner, and we look forward to increased success following this higher profile. The future looks extremely bright for the field of mathematical medicine as it emerges from its period of infancy and takes its place as a legitimate and central field of research and enquiry. Our sincere hope and wish is that CMMM continues from strength to strength and fulfills its role and promise as envisioned originally by its founding editor. Pamela Jones Sivabal Sivaloganathan

138 citations

Journal ArticleDOI
TL;DR: In this article, a systematic literature review is performed to investigate Industry 4.0 skills requirements in the engineering profession and the role of capability development in meeting Industry 5.0 requirements.
Abstract: The Industry 4.0 wave is built on technological advancement that is bringing about significant change. The impact of Industry 4.0 is being felt across all industries, including the education sector. During the 2019 State of the Nation address, the President of South Africa pointed out that the government was seeking to respond to the change in skills requirements. In this paper, a systematic literature review will be performed to investigate Industry 4.0 skills requirements in the engineering profession and the role of capability development in meeting Industry 4.0 requirements. An exploration of the impact of Industry 4.0 on technical institutions as opposed to academic institutions will also be discussed. This paper incorporates this exploratory investigation into detailed research on developing a skills development framework that seeks to bridge the gap between Industry 4.0 skills requirements and development in South Africa.

57 citations

Journal ArticleDOI
TL;DR: The goal of this research is to describe the technologies that are enablers of I4, analyze the human talent needed and the qualifications required to manage I4 systems, describe the courses and practices that leading universities in engineering and technology are teaching for developing the I4 workforce, and provide a look to the future by presenting trends related to education in I4.
Abstract: Industry 4.0 (I4), defined as the integration of information and communication technology with industrial advances to develop digital factories, will transform production processes by making them more efficient, green, and flexible. Manufacturers must overcome barriers to implement this approach; one of them is the lack of qualified talent to manage I4 systems. This paper is a review of the state-of-art of I4. The goal of this research is to describe the technologies that are enablers of I4, analyze the human talent needed and the qualifications (competencies/skills) required to manage I4 systems, describe the courses and practices that leading universities in engineering and technology are teaching for developing the I4 workforce, and provide a look to the future by presenting trends related to education in I4. Autonomous robots, simulation, horizontal and vertical integration, the Industrial Internet of Things, additive manufacturing, augmented reality, cybersecurity, the cloud, and Big Data and analytics are technologies considered pillars of the I4 approach. Nowadays, there are universities already offering programs related to I4. These range from those aimed at presenting the concepts of I4 to those in which students learn how to handle related technologies in real work in global enterprises. I4 is still evolving, and we present only a glimpse of what is required based on its current state. Continuous review of the I4 environment is necessary to determine opportunely the path that it will follow and, in consequence, the needs that will emerge in areas such as curricula content, competency requirements, and technologies.

51 citations

Journal Article
TL;DR: A synergistic and an effective algorithm for the detection of brain tumors based on Median filtering, K Means Segmentation, FCM Se segmentation, and finally, threshold segmentation is suggested.
Abstract: In the recent ascensions of the electronic era, brain tumor segmentation in magnetic resonance imaging (MRI) has become popular interest in the field of medical imaging system. Brain tumor segmentation helps the user to determine the precise size of the tumors. We have suggested a synergistic and an effective algorithm for the detection of brain tumors based on Median filtering, K Means Segmentation, FCM Segmentation, and finally, threshold segmentation. In this proposed approach we enhance the quality of the tumor images acquired by the aid of MRI and then to detect the size of the tumors, approximate reasoning are applied.

48 citations

Journal ArticleDOI
TL;DR: Applying IDP‐denovo to a non‐model organism, Dendrobium officinale, a number of novel genes and novel isoforms are discovered that were not reported by the existing annotation library, revealing the high diversity of gene isoforms in D.officinale.
Abstract: Motivation In the past years, the long read (LR) sequencing technologies, such as Pacific Biosciences and Oxford Nanopore Technologies, have been demonstrated to substantially improve the quality of genome assembly and transcriptome characterization. Compared to the high cost of genome assembly by LR sequencing, it is more affordable to generate LRs for transcriptome characterization. That is, when informative transcriptome LR data are available without a high-quality genome, a method for de novo transcriptome assembly and annotation is of high demand. Results Without a reference genome, IDP-denovo performs de novo transcriptome assembly, isoform annotation and quantification by integrating the strengths of LRs and short reads. Using the GM12878 human data as a gold standard, we demonstrated that IDP-denovo had superior sensitivity of transcript assembly and high accuracy of isoform annotation. In addition, IDP-denovo outputs two abundance indices to provide a comprehensive expression profile of genes/isoforms. IDP-denovo represents a robust approach for transcriptome assembly, isoform annotation and quantification for non-model organism studies. Applying IDP-denovo to a non-model organism, Dendrobium officinale, we discovered a number of novel genes and novel isoforms that were not reported by the existing annotation library. These results reveal the high diversity of gene isoforms in D.officinale, which was not reported in the existing annotation library. Availability and implementation The dataset of Dendrobium officinale used/analyzed during the current study has been deposited in SRA, with accession code SRP094520. IDP-denovo is available for download at www.healthcare.uiowa.edu/labs/au/IDP-denovo/. Supplementary information Supplementary data are available at Bioinformatics online.

41 citations