690
20
16481
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Varghese, Bindi; George, Ginu; Kulkarni, Mugdha Shailendra
Title
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Smart Heritage: Leveraging Technology for Cultural Preservation and Sustainable Urban Development in Bangalore, Karnataka
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01-01-2025
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Lecture Notes in Networks and Systems;Volume;1333 LNNS;pp.153-163
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<a href="https://doi.org/10.1007/978-981-96-4536-7_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4536-7_13</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018800114?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018800114?origin=resultslist</a>
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Varghese B., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; George G., Westford University College, Sharjah, United Arab Emirates; Kulkarni M.S., Symbiosis Centre for Information Technology, Symbiosis International (Deemed University), Pune, India
Description
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In order to promote urban sustainability in Bangalore, this study explores how technology and data-driven solutions affect cultural tourism. In order to improve historical protection and handle urban issues with waste management, public services, energy efficiency, and transportation, the paper investigates artificial intelligence (AI) and smart tourist technologies. With Urbanization, commercialization, ecological deterioration, and changes in the quantitative and qualitative population dynamics, architecture is a risk and alarming situation for cultural formation of the city. This paper focuses on a qualitative study with case study on interventions for the cultural heritage of Bangalore. The study instrument utilized in the case of qualitative interviews makes aware of the historical nature of the skewness in the patterns of conservation and technology along with the stirred related issues through the historians, government authorities, and other influential personalities of the community. The study presents the possibilities of smart technologies in the field of digitalization and the use of virtual and augmented reality, as well concerns the use of environmental-friendly materials in the process of preservation. Specifically, the conclusions of the presented study concern the need to enhance the focused awareness and involvement of people, as well as the adequate governmental actions in relation to the issue of the preservation of birds. Therefore, the presented paper sets out a theoretical framework that defines the challenges, discussed strategies, and possible resulting impacts Thus, the papers goal entails advancing the policy-making process both on the national and local levels as well as the actions of proactive communities that would like to maintain Bangalores cultural identity for future generations to inherit. The notion of using integration technology in the management of stewardship of heritage also presents a useful means of managing past capitals for use in the future augmenting the vitality and sustainability of the citys economy. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Artificial intelligence; Cultural heritage; Smart tourism; Sustainability; Urban development
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981964535-0;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Smart Home Activity Recognition for Ambient Assisted Living (AAL)
Description
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With the increasing age of an individual, the chances of being prone to chronic diseases like diabetes or non-curable diseases like Alzheimer's Syndrome or Parkinson's Syndrome increases. Due to the health issues, elderly must be accompanied by caretakers to monitor their well-being at all times. With growing responsibilities and work pressure, the family members may find it challenging to find a trustworthy caretaker. In such scenarios, an assisted living environment acts as a boon. A normal home embedded with different sensors to monitor an individual's well-being is called as Ambient Assisted Living(AAL). This living environment detects anomalous behaviour and recognizes human activities. In this research paper, a smart home activity recognition model is proposed and implemented using four machine learning algorithms using six different publicly available datasets. It has been observed that Random Forest machine learning algorithm shows the best accuracy on most of the dataset. The Electrochemical Society
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Naaz S.; Rajamohan K.
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ECS Transactions, Vol-107, No. 1, pp. 20253-20264.
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Institute of Physics
Date
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2022-01-01
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<a href="https://doi.org/10.1149/10701.20253ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.20253ecst</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134056767&doi=10.1149%2F10701.20253ecst&partnerID=40&md5=2be1cad2071bf04aa3980c3a4839407e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134056767&doi=10.1149%2f10701.20253ecst&partnerID=40&md5=2be1cad2071bf04aa3980c3a4839407e</a>
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ISSN: 19386737; ISBN: 978-160768539-5
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Online
Language
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English
Type
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Conference paper
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Naaz S., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Rajamohan K., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India
-
https://archives.christuniversity.in/files/original/87dfde914cdc661fdd5cb7420b9c7060.jpg
fab73d59307287355f9d0a238e6fe3e0
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Articles
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Title
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Smart Home Systems Using Wireless Sensor Network - A Comparative Analysis
Subject
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Computer Science
Description
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International Journal of Computer Engineering & Technology, Vol-3 (3), pp. 94-103. ISSN-0976-6367
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Kavitha R., Nasira G.M., Nachamai N.
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International Journal of Computer Engineering & Technology
Date
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2012
Language
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English
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Vijayalakshmi, S.; Dahiya, Savita; Gayathri, S.P.
Title
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Smart Intelligence Aided Power and Energy Management
Date
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01-01-2025
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Power Systems;Volume;Part F914;pp.185-196
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<a href="https://doi.org/10.1007/978-3-031-89459-6_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018113429?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018113429?origin=resultslist</a>
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Vijayalakshmi S., Department of Data Science, CHRIST University, Maharashtra, Pune, India; Dahiya S., School of Engineering and Technology, Maharishi University of Information Technology, Uttar Pradesh, Noida, India; Gayathri S.P., Department of Computer Science, Government Arts College for Women, Tamil Nadu, Dindigul, India
Description
An account of the resource
The Artificial Intelligence (AI) has become a revolutionary technology in power and energy management, providing exceptional prospects for improving efficiency, reliability, and sustainability. This study delves into the incorporation of AI methodologies into smart intelligence-driven systems for power and energy management. It delves into how AI algorithms, encompassing machine learning and optimization approaches, are utilized to enhance energy generation, distribution, and consumption across a range of environments, including smart grids, microgrids, and intelligent buildings. The abstract examines the primary challenges and factors to consider when implementing AI-driven solutions for power and energy management, which encompass issues such as data quality, privacy, security, and scalability. It emphasizes the crucial role of transparency and interpretability in AI algorithms to cultivate trust among stakeholders and secure user acceptance. Additionally, it addresses the importance of upholding ethical standards and regulatory requirements to address societal apprehensions and mitigate potential risks linked to the deployment of AI in energy systems. Moreover, the abstract highlights AIs contribution to advancing energy efficiency and sustainability through dynamic demand response, incorporating renewable resources, and the optimization of grid operations. It underscores the importance of on-going monitoring and evaluation of AI-driven energy management systems to pinpoint areas for enhancement and mitigate unintended repercussions. In summary, this paper offers perspectives on AIs potential to transform power and energy management methodologies, leading to more intelligent, robust, and eco-friendly energy systems. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
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Artificial intelligence; Energy management; Grid modernization; Micro grids demand response; Renewable energy integration; Smart grids; Transparency
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 16121287;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Chopra, Gaurika; Jacob, Lija
Title
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Smart Intelligence Perspective and Integrating AI with the Power System
Date
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01-01-2025
Source
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Power Systems;Volume;Part F914;pp.1-17
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<a href="https://doi.org/10.1007/978-3-031-89459-6_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018013423?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018013423?origin=resultslist</a>
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Chopra G., Christ University, School of Sciences, Pune, Lavasa, India; Jacob L., Christ University, School of Sciences, Pune, Lavasa, India
Description
An account of the resource
The confluence of Artificial Intelligence (AI) and energy frameworks has become a focal point in contemporary research, driven by the imperative to innovate and advance our energy systems. The book chapter delves into the nuanced relationship between AI and these systems, highlighting its opportunities for improved performance, resilience, and environmental conservation. Central to this exploration is the elucidation of AIs transformative potential in energy dynamics, spanning areas such as machine learning, deep learning, neural architectures, and foresight modelling. The chapter portrays diverse AI-driven applications, emphasising their transformative capabilities in steering energy strategies. Insights into the multifaceted advantages of integrating AI into energy frameworks are presented, stressing augmented stability, amplified efficiency, fiscal savings, and forward-thinking outage resolutions. Based on real-world examples, the research highlights the value of integrating AI into energy strategies. It also identifies new paradigms in the evolving energy landscape that will shape our energy future. This underscores AIs crucial role in driving energy transformations and calls for collaboration among academia, decision-makers, and industry leaders to create a greener, more efficient energy path. The importance of data analytics in managing power system data, enabling insights into consumption trends, and assisting in making educated decisions is also covered in this chapter. In order to ensure a responsible and secure implementation, the ethical and privacy issues associated with AI deployment in the power sector are also addressed. Furthermore, the chapter elaborates on the prospective trajectory of AI within Power Systems, elucidating its involvement in quantum computing, edge computing, and the incorporation of IoT to facilitate Microgrid Management. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
The topic of the resource
AI-driven applications; Artificial Intelligence (AI); Contemporary research; Edge computing; Energy frameworks; Environmental conservation; Foresight modelling; Microgrid Management; Quantum computing
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 16121287;
Language
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English
Type
The nature or genre of the resource
Book chapter
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
https://archives.christuniversity.in/files/original/d333e5b4e5e2f56a4e4833230aa0419a.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Smart internet of things (IOT) enabled agricultural farming system /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
"Patent Number: 202241047525, Applicant: Justin Joy.
Smart Internet of Things (IoT) enabled agricultural farming system that aims to extract the values of soil parameters by using IoT sensors and appropriately control the watering of crops. Thus, this system allows crop cultivation even in a hot and dry climate. Crops can be watered remotely and temperature controlled to be maintained within an appropriate range. Automated irrigation systems using WSN (Wireless Sensor Networks) and GPRS (General Packet Radio Service) modules assist in optimizing water use for agriculture crops. This system comprises a distributed wireless sensor network with soil moisture and temperature sensor in WSN.
Creator
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Joy, Justin.
Source
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<a href="https://drive.google.com/file/d/1pQLyLq9hY9Yqo2hoBGwkMPD7i1Sc03B4/view" target="_blank" title="Smart internet of things (IOT) enabled agricultural farming system /" rel="noreferrer noopener">https://drive.google.com/file/d/1pQLyLq9hY9Yqo2hoBGwkMPD7i1Sc03B4/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-22
Language
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English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/1b6d152c059b7912cf89127ba1ae826f.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
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Title
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Smart internet of things (IOT) enabled agricultural farming system /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 202241047525, Applicant: Justin Joy.
Smart Internet of Things (IoT) enabled agricultural farming system that aims to extract the values of soil parameters by using IoT sensors and appropriately control the watering of crops. Thus, this system allows crop cultivation even in a hot and dry climate. Crops can be watered remotely and temperature controlled to be maintained within an appropriate range. Automated irrigation systems using WSN (Wireless Sensor Networks) and GPRS (General Packet Radio Service) modules assist in optimizing water use for agriculture crops. This system comprises a distributed wireless sensor network with soil moisture and temperature sensor in WSN.
Creator
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V L, Helen Josephine.
Source
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<a href="https://drive.google.com/file/d/1pQLyLq9hY9Yqo2hoBGwkMPD7i1Sc03B4/view" target="_blank" title="Smart internet of things (IOT) enabled agricultural farming system /" rel="noreferrer noopener">https://drive.google.com/file/d/1pQLyLq9hY9Yqo2hoBGwkMPD7i1Sc03B4/view</a>
Publisher
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Intellectual Property India
Date
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2022-05-22
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Smart Intravenous Infusion Monitoring and Alert System using IoT-based Force Sensitive Resistor and Whatabot API
Subject
The topic of the resource
FSR sensor; Healthcare; IoT; IV fluid; NodeMCUESP8266; Whatabot
Description
An account of the resource
Intravenous fluids with vitamins are given to people who are dehydrated and have an imbalance of electrolytes. When the IV bag is empty, the patient's blood flows through the IV line toward the empty bag because their blood pressure is higher than the IV bag's. This process, called diffusion can lead to pain and loss of blood. If the IV bag is empty and hooked up to the patient, air can get into the bloodstream. The air bubble enters the patient's bloodstream, causing the same catastrophic effects. This paper aims to eliminate the danger by creating Smart IV Bags in light of the rising number of risks in the medical sector brought on by the reverse flow of blood in an IV bag (intravenous bag). The Smart IV bags eliminate the need for constant physical monitoring of the IV bag's state while preventing reverse blood flow. For detection of the IV fluid state, a 0.5 ' diameter force-sensitive resistor is deployed. We integrate the system with a NodeMCU module and using Wi-Fi, it establishes communication between the smart IV bag and the person in charge at the hospital, like a nurse or a caretaker. In this study, the IV Bag is the 'thing' connected to the internet where the FSR readings are analyzed using NodeMCU script to determine if it needs to be emptied and send a WhatsApp message to the caretaker. This design establishes an IoT environment where the IV Bag automatically alerts the caretaker and eliminates the need for constant human intervention. 2023 IEEE.
Creator
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Sreekumar K.; Francis J.; Prathap B.R.
Source
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Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1109/InC457730.2023.10262987" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262987</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174699279&doi=10.1109%2FInC457730.2023.10262987&partnerID=40&md5=cfadf884313e072f051d3feec0f28b38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174699279&doi=10.1109%2fInC457730.2023.10262987&partnerID=40&md5=cfadf884313e072f051d3feec0f28b38</a>
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ISBN: 979-835033577-4
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Sreekumar K., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Francis J., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Prathap B.R., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India
-
https://archives.christuniversity.in/files/original/9f9e01ec446a72cbf7f6d89814760566.jpg
96e0cb74b7edc75db27cde5309115286
Dublin Core
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
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Smart IOT driven system of multimodal emotion recognition system using deep learning /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241059619, Applicant: Dr.C.Rohith Bhat.
Signals received by one or more sensors and processed by a processor can contain features such as one or more audio, visual, linguistic, and physical features. One or more machine learning algorithms may be used to assess the audio, visual, linguistic, and bodily data, and the results may be used to infer an individual's emotional state. The most recent multimodal speech emotion identification techniques, with an emphasis on audio, text, and visual data. We offer a fresh, descriptive classification of approaches based on how they manage the dynamics of intra- and intramodality in the time dimension.
Creator
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Rajavel, Rajkumar.
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<a href="https://drive.google.com/file/d/1NMFnq--A1N1tRz8t00uLul0q-o68AXKK/view" target="_blank" title="Smart IOT driven system of multimodal emotion recognition system using deep learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1NMFnq--A1N1tRz8t00uLul0q-o68AXKK/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-29
Language
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English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Okewumi, Peter Olufeyi; Iwendi, Celestine; Ojo, Olayinka Anthony; Aboutorabi, Negin; Sharma, Vandana; Lemeke, Collins
Title
A name given to the resource
Smart Irrigation System Using Soil Moisture Sensor
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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2025 IEEE 5th International Conference on ICT in Business Industry and Government, ICTBIG 2025;
Identifier
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<a href="https://doi.org/10.1109/ICTBIG68706.2025.11323957" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTBIG68706.2025.11323957</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032857203?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032857203?origin=resultslist</a>
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Okewumi P.O., Centre of Intelligence of Things, University of Greater Manchester, Bolton, United Kingdom; Iwendi C., Centre of Intelligence of Things, University of Greater Manchester, Bolton, United Kingdom; Ojo O.A., Centre of Intelligence of Things, University of Greater Manchester, Bolton, United Kingdom; Aboutorabi N., Centre of Intelligence of Things, University of Greater Manchester, Bolton, United Kingdom; Sharma V., Christ University, Computer Science Department, Bengaluru, India; Lemeke C., Centre of Intelligence of Things, University of Greater Manchester, Bolton, United Kingdom
Description
An account of the resource
The impart of climatic change apparently affect accessibility of good water for agriculture irrigation system in addition to human dependency and demand on farm products for survival, increases water unavailability challenges in the farm affecting ecosystem when there is no balance between country food production capacity and population growth. Agricultural sector is challenged with unequal distribution of water in the farm plantations reducing food production strength, this is more severe in under-developing regions whereby require smart irrigation systems as promising solution to mitigate against threat of water distribution to farm products. This research work design and develop smart irrigation system with less expensive microcontroller components, implementing water distribution system using sensor captured information of soil condition, infusing precision irrigation system that calculate and supplies exact water require based on soil dryness level. The research adopts internet of things IoT technology where sensor will be used to monitor and capture soil information and control water distribution based on available soil dataset. The outcome of the research gives absolute control on over-irrigation and under-irrigation system that increases agricultural productions with advance technological means, precision irrigation system mechanisms reduces water wastage and ensure equal distributions. Multivariate soil type test will greatly enhance general acceptability of this concept in cross-functional regions. 2025 IEEE.
Subject
The topic of the resource
Internet of things (IoT); Micro-controller; Over-Irrigation; precision irrigation; Sensor; Under-Irrigation
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833157981-4;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Title
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Smart medical sensor
Subject
The topic of the resource
Accelerometers; Blood pressure; Bluetooth; Health-care sector; Medical sensor; Physical parameters
Description
An account of the resource
Medical sensors facilitate health-care applications to save a patient's life by continuously monitoring the patient's health. The combined feature of medical sensors and the fastest growing techniques that are Internet of things improves the accuracy of treatment. Internet of things techniques serve the smart and very effective medical service. Early diagnosis of the symptoms helps the health-care provider to get success in the treatment to save a patient's life. Many medical sensors are available in the health-care application that can monitor continuously patient health. Medical sensors can be wearable and nonwearable. There are some common parameters such as body temperature and a heart rate that are used to monitor human activity. These parameters are measured by using wearable and body-embedded sensors. The data collected from these parameters are analyzed by the medical devices for early detection of disease. The advanced internet of things techniques help to connect the sensors, patients, hospitals, and other medical devices. In this chapter, we highlight the use of different types of sensors with advanced technology (internet of things). 2023 Elsevier Inc. All rights reserved.
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Subramanian V.; Dahiya S.; Thiruppathiraju G.; Balusamy B.
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Security and Privacy Issues in Internet of Medical Things, pp. 1-32.
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Elsevier
Date
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2023-01-01
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<a href="https://doi.org/10.1016/B978-0-323-89872-0.00005-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-89872-0.00005-8</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152812505&doi=10.1016%2FB978-0-323-89872-0.00005-8&partnerID=40&md5=24d06e22493b2974695be518befe267b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152812505&doi=10.1016%2fB978-0-323-89872-0.00005-8&partnerID=40&md5=24d06e22493b2974695be518befe267b</a>
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ISBN: 978-032389872-0; 978-032388594-2
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Online
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English
Type
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Book chapter
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Subramanian V., Department of Data Science, CHRIST (Deemed to be University), Maharashtra, Lavasa, India; Dahiya S., School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, Greater Noida, India; Thiruppathiraju G., School of Computing Science, KPR College of Arts Science and Research, Tamil Nadu, Coimbatore, India; Balusamy B., Shiv Nadar University, Tamil Nadu, Chennai, India
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Title
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Articles
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Faculty Publications -Articles
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Title
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Smart Metering System with Google Assistant
Subject
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Google Assistant; Internet of Things; Metering system; Node MCU
Description
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This paper presents a unique research problem in the area of automation system by using IoT. The mentioned approach utilizes Google assistant, which is incorporated within Google home which uses voice-controlled inputs and voice feedbacks. This paper discusses a new method to develop a smart energy meter at a distributor level and to make use of this technology to monitor the power consumption of each device individually which can help the user to monitor the electricity usage in real time and thus helps to save electricity and reduce cost on your electricity bill. 2020, Asian Research Association. All rights reserved.
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Jaison A.M.; Julian Benadit P.; Kumar K.P.
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International Research Journal of Multidisciplinary Technovation, Vol-2, No. 3, pp. 7-13.
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Asian Research Association
Date
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2020-01-01
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<a href="https://doi.org/10.34256/irjmt2032" target="_blank" rel="noreferrer noopener">https://doi.org/10.34256/irjmt2032</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118948021&doi=10.34256%2Firjmt2032&partnerID=40&md5=8b9f940140928102d5d2c2a20fc030a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118948021&doi=10.34256%2firjmt2032&partnerID=40&md5=8b9f940140928102d5d2c2a20fc030a5</a>
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All Open Access; Gold Open Access
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ISSN: 25821040
Format
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Online
Language
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English
Type
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Article
Coverage
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Jaison A.M., Department of Computer Sciences of Engineering, Christ University, Bangalore, India; Julian Benadit P., Department of Computer Sciences of Engineering, Christ University, Bangalore, India; Kumar K.P., Department of Computer Sciences of Engineering, Christ University, Bangalore, India
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Title
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Articles
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Title
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Smart Mobile Device to Trace Moving Rogue Objects in Smart City Utilizing Dynamic Source Dynamic Destination Tracking Algorithm
Subject
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Ant Colony Optimization; Autonomous vehicles; Dynamic Source Dynamic Destination; Meta-heuristic; Mobile Edge Computing; Optimization; Shortest path estimation; Swarm intelligence
Description
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In the present literature, various algorithms are available for computing the shortest path between two objects. The maximum number of these algorithms compute the shortest path either between two static objects or one static object and one dynamic object. This article presents an insight to integrated Mobile Edge Computing (MEC) based smart devices for tracking mobile rogue objects based on dynamic source and dynamic destination optimal cost estimation. This device considers any two mobile objects to estimate the shortest path between them. The proposed Ant Colony Optimization (ACO) based algorithm considers the property of dead-end removal and nth path exploration with efficient self-loop removal strategy. To review the performance of the proposed algorithm, experimentations are carried out and compared with several well-established shortest cost estimation techniques available in the literatureFloyd Warshall, Bellman Ford, Dijkstra, A* algorithms and the only dynamic shortest path algorithm. The detailed algorithmic comparisons clearly indicate the superiority of the proposed one over the existing dynamic and present state-of-the-art shortest path estimation methodologies. 2023 IETE.
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Mukhopadhyay D.; Chakraborty T.; Saha A.; Mondal K.; Purkayastha R.
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IETE Journal of Research, Vol-69, No. 9, pp. 5822-5829.
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Taylor and Francis Ltd.
Date
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2023-01-01
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<a href="https://doi.org/10.1080/03772063.2023.2173316" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/03772063.2023.2173316</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147774173&doi=10.1080%2F03772063.2023.2173316&partnerID=40&md5=c8e52c909e07436a3ef4ad8ca5f4a06f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147774173&doi=10.1080%2f03772063.2023.2173316&partnerID=40&md5=c8e52c909e07436a3ef4ad8ca5f4a06f</a>
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ISSN: 3772063
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Online
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English
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Article
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Mukhopadhyay D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST Deemed to be University, Bangalore, 560 074, India; Chakraborty T., EURECOM, Biot, 06410, France; Saha A., Department of Computer Science & Engineering, Indian Institute of Technology Patna, Bihar, India; Mondal K., Indian Institute of Technology (Indian School of Mines), Dhanbad, India; Purkayastha R., Department of Computer Science and Engineering, Adamas University, Barasat, West Bengal, Kolkata, India
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Title
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Conference Papers
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Faculty Publications- Conference Papers
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Title
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Smart Online Oxygen Supply Management though Internet of Things (IoT)
Description
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We are surrounded by oxygen in the air we We cannot even exist without the ability to breathe. The need for oxygen has increased during the COVID19 pandemic, and although there is enough oxygen in our country, the main issue is getting it to hospitals or those in need on time. This is simply due to a significant communication gap between suppliers and hospitals, so we plan to implement an idea that will close this gap using real-time tracking as we can track the movement of oxygen tankers by gathering the requirements. We are using an ESP32 Wi-Fi module, a MEMS pressure sensor that enables the combination of precise sensors, potential processing, and wireless communication, such as Wi-Fi, Bluetooth, IFTTT, and MQTT protocols, to implement it successfully. The pressure sensor publishes the value of oxygen remaining from the location to the MQTT broker. 2022 IEEE.
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Gehlot A.; Rajat Mohan L.; Gupta A.; Anandaram H.; Alanya-Beltran J.; Kalyan Chakravarthi M.
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Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICSES55317.2022.9914246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914246</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141484637&doi=10.1109%2FICSES55317.2022.9914246&partnerID=40&md5=ce7526914a1a16deffd0fa43b6ad8c04" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141484637&doi=10.1109%2fICSES55317.2022.9914246&partnerID=40&md5=ce7526914a1a16deffd0fa43b6ad8c04</a>
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ISBN: 978-166547413-9
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Online
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English
Type
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Conference paper
Coverage
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Gehlot A., Uttaranchal University, Uttaranchal Institute of Technology, India; Rajat Mohan L., Christ, Deemed to Be University, India; Gupta A., Department of Civil Engineering, IET Lucknow, AKTU, India; Anandaram H., Amrita Vishwa Vidyapeetham, Centre for Excellence in Computational Engineering and Networking, Tamil Nadu, Coimbatore, India; Alanya-Beltran J., Universidad Tecnolica Del Per Electronic Department, Peru; Kalyan Chakravarthi M., VIT-AP University, School of Electronics Engineering, Amaravathi, 522237, India
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Faculty Publications
Conference Paper
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Maharajan, M.S.; Abirami, T.; Jayadharshini, P.; Krishnasamy, Lalitha; Priyanka, S.; Aravinth, S.
Title
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Smart People Counting System by Enhancing Accuracy and Affordability with YOLOv5 and Cloud-Based Integration
Date
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01-01-2025
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Lecture Notes in Networks and Systems;Volume;1314 LNNS;pp.115-125
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<a href="https://doi.org/10.1007/978-981-96-3797-3_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3797-3_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031519443?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031519443?origin=resultslist</a>
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Maharajan M.S., Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Tamilnadu, Chennai, India; Abirami T., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Perundurai, India; Jayadharshini P., Department of Artificial Intelligence, Kongu Engineering College, Tamil Nadu, Perundurai, India; Krishnasamy L., Department of CSE, School of Engineering and Technology, CHRIST University, Bangalore, Kengeri, India; Priyanka S., Department of Artificial Intelligence, Kongu Engineering College, Tamil Nadu, Perundurai, India; Aravinth S., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Perundurai, India
Description
An account of the resource
Considering that all moving objects are humans, much of the work in data is based on recognizing and tracking moving objects. In this work, we present a method for counting peoples faces. Even though we use the face mask, the deep learning-based YOLOv5 algorithm and Faster R-CNN allow us to recognize the face. We do a very good job of counting people. To make the calculation more accurate, we introduced a new type of intelligent small scale computing system consisting of cheaper hardware and user-friendly cloud computing software. These findings show that intelligent computing systems can realize human vision. Additionally, by combining inexpensive hardware with cloud-based software, the planning process becomes more transparent and cost-effective. Finally, the web application allows users to view the number of authorized and unauthorized users. Based on the results obtained from this method, the deep learning YOLOv5 algorithm is used to identify and match human images to increase security, and thanks to cloud storage, users can easily view all calculated results, increasing the accuracy by 98.53%. Owing to the truth that most of the secure watches cannot be able to check each and each individual The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981963796-6;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
-
https://archives.christuniversity.in/files/original/8baa3674420616d9e80d9bce58cde168.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
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Patent
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Patent
Patent
Patents
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Title
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Smart Phone /
Subject
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Electronics
Description
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Patent Number: 344690-001, Applicant: Dr.Parvendra Kumar.
Creator
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M, Jothi.
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<a href="https://drive.google.com/file/d/1gRrRZaTOp7VWnmsW1fAPNzHLj8sMbwEM/view" target="_blank" title="Smart Phone /" rel="noreferrer noopener">https://drive.google.com/file/d/1gRrRZaTOp7VWnmsW1fAPNzHLj8sMbwEM/view</a>
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Intellectual Property India
Date
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2022-05-19
Language
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English
Type
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Patent
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection
Subject
The topic of the resource
deep learning; diabetic retinopathy; Fundus imaging; smartphone-based fundus imaging
Description
An account of the resource
INTRODUCTION: Diabetic retinopathy (DR) is one of the consequences of diabetes which if untreated may lead to loss of vision. Generally, for DR detection, retinal images are obtained using a traditional fundus camera. A recent trend in the acquisition of eye fundus images is the usage of smartphones to acquire images. OBJECTIVES: This paper focuses on the study of existing works which incorporated smartphones for obtaining fundus images and various devices available in the market. Also, the common datasets used for carrying out DR detection using smartphone-based fundus images as well as the classification models used for the diagnosis of DR are explored. METHODS: A search of information was carried out on articles based on DR detection from fundus images published in the state-of-the-art literatures. RESULTS: Majority of the works uses SBFI devices like 20D lens, EyeExaminer etc. to obtain fundus image. The common databases used for the study are EyePACS, Messidor, etc. and the classification models mostly rely on deep learning frameworks. CONCLUSION: The use of smartphones for capturing fundus images for DR detection are explored. Smartphone devices, datasets used for the study and currently available classification models for SBFI based DR detection are discussed in detail. This paper portrays various approaches currently being employed in SBFI based DR detection. 2023 A. Benjamin et al.
Creator
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Benjamin A.; Wahid F.F.; Jenefa J.
Source
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EAI Endorsed Transactions on Pervasive Health and Technology, Vol-9
Publisher
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European Alliance for Innovation
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.4108/eetpht.9.4376" target="_blank" rel="noreferrer noopener">https://doi.org/10.4108/eetpht.9.4376</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&doi=10.4108%2Feetpht.9.4376&partnerID=40&md5=7d67b3d8f313f05c0b1a0e8b95ea96c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&doi=10.4108%2feetpht.9.4376&partnerID=40&md5=7d67b3d8f313f05c0b1a0e8b95ea96c3</a>
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All Open Access; Gold Open Access
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ISSN: 24117145
Format
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Online
Language
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English
Type
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Article
Coverage
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Benjamin A., Department of Artificial Intelligence and Machine Learning, CMR Institute of Technology, Karnataka, Bengaluru, 560037, India; Wahid F.F., Department of Information Technology, Kannur University, Kerala, Kannur, 670567, India; Jenefa J., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India
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Title
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Articles
Article
Faculty Publications -Articles
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Smart pollution monitoring system
Subject
The topic of the resource
Air Quality Monitor; Cloud Server; Pollution; Prototype; Sensors; Toxic Gases
Description
An account of the resource
The world has travelled a long way through the industrial revolution. One of the consequences that the industries and its different forms gave to humanity is pollution. The environment that we live is being polluted in different ways. Different parts of the world are already experiencing air pollution as a matter of concern. The increasing amount of industries and the emission of gas by the vehicles cause much damage to the air. We are in a situation where we need to monitor the amount of pollution in our areas of living and working. In order to monitor pollution, the paper proposes an efficient and low-cost method with the help of the internet of things (IoT). The system is designed to monitor the levels of CO, CO2, smoke, alcohol, NH3, temperature and humidity. The various alarms and notification are arranged in such a way that the information is given when there is any sign of threat. The remote monitoring is made possible with dedicated website and mobile app. BEIESP.
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Wilson S.; Manuel T.; Peter Augustin D.
Source
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International Journal of Recent Technology and Engineering, Vol-7, No. 6 1131, pp. 1136-.
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Blue Eyes Intelligence Engineering and Sciences Publication
Date
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2019-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067047041&partnerID=40&md5=c1c613b0af261b601c5b1c10471519f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067047041&partnerID=40&md5=c1c613b0af261b601c5b1c10471519f5</a>
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ISSN: 22773878
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Wilson S., Computer Science, Christ (Deemed to be University), Bangalore, India; Manuel T., Computer Science, Christ (Deemed to be University), Bangalore, India; Peter Augustin D., Computer Science, Christ (Deemed to be University), Bangalore, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Smart Portable Neonatal Intensive Care for Rural Regions
Subject
The topic of the resource
Decision support system; Healthcare; Medical electronics; Neonatal healthcare; Neonatal incubator; Rural healthcare; Smart medical electronics
Description
An account of the resource
Every year, an increasingly large number of neonatal deaths occur in India. Premature birth and asphyxia are being two of the leading causes of these neonatal deaths. A well-regulated thermal environment is critical for neonatal survival. In the current scenario, it is impossible for the health centers in the rural areas of India to afford a neonatal incubator for every newborn due to its price and transportability. The successful delivery of neonates is hampered in India due to its increasing population along with limited technology and resources. Thus, a prototype of an incubator has been designed that is affordable, transportable, and energy saving for the health centers in the rural regions, with an AI-based decision support system. Springer Nature Singapore Pte Ltd 2020.
Creator
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Lepcha S.; Jain S.S.; Kumar S.; Puneeth C.; Singhal N.; Saw A.K.; Batra A.S.; Shukla S.; Unal A.
Source
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Lecture Notes in Networks and Systems, Vol-93, pp. 375-385.
Publisher
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Springer
Date
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2020-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-15-0630-7_37" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-0630-7_37</a>
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Restricted Access
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ISSN: 23673370
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Lepcha S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Jain S.S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Kumar S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Puneeth C., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Singhal N., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Saw A.K., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Batra A.S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Shukla S., Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Unal A., Digital Monozukuri, Stanford, United States
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Title
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Conference Papers
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Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Smart Precision Irrigation Techniques Using Wireless Underground Sensors in Wireless Sensors
Subject
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IoT; Irrigation; Smart Precision Agriculture; Weather Prediction; Wireless Sensors
Description
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The term brilliant accuracy agribusiness alludes to advances like the Internet of Things, remote sensors, and artificial reasoning on the ranch. A definitive objective of this paper is to expand the quality and amount of the harvests while advancing the human work utilized, use of water system, and diminishing the water system times in light of climate forecast. This proposed framework utilizes the three kinds of sensors like Moisture sensor is used to detect the dirt dampness, the Humidity sensor is utilized to return how much water is present in the encompassing air, Temperature sensors are utilized to give the temperature of the dirt. Each of the three qualities is passed to the remote sensor hub and moved to the information lumberjacks. At long last, the information lumberjack will send the message like beginning the water system to a programmed water lock framework. When all water measures arrive at the water system limit, the programmed water lock framework will be shut. By using the underground, remote sensors, we can track the conditions of various agricultural applications such as soil properties, seed varieties and monitor the environmental situations. Every gadget contains significant gear like sensors, memory, a processor, and a power source. 2022 IEEE.
Creator
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Sathiyapriya K.; Thaiyalnayaki S.; Sambandam R.K.; Anuranjani K.; Vetriveeran D.
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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 2072-2077.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1109/ICACCS54159.2022.9785190" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS54159.2022.9785190</a>
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Restricted Access
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ISBN: 978-166540816-5
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Sathiyapriya K., School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Dept. of Computer Science and Engineering, Tamilnadu, Chennai, India; Thaiyalnayaki S., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India; Sambandam R.K., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India; Anuranjani K., School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Dept. of Computer Science and Engineering, Tamilnadu, Chennai, India; Vetriveeran D., School of Engineering and Technology, Christ (Deemed to Be University, Dept. of Computer Science and Engineering, Karnataka, Bangalore, India