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P. Sivalakshmi

Bio: P. Sivalakshmi is an academic researcher from R.M.K. College of Engineering and Technology. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 1, co-authored 3 publications receiving 2 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, the authors developed a solution to help the task force using a face recognition based UAV to identify the criminals, missing people, civilians and for surveillance, which is a technology which involves the understanding of how the faces are detected and recognized.

4 citations

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TL;DR: In this article, a theoretical auction flow model is proposed to improve the transparency in the supply chain by providing farmers direct access to suppliers through an appropriate auction system with an option of immediate payment on delivery and transparent transaction information to them.

4 citations

Journal ArticleDOI
TL;DR: The various stop band filters have been analyzed particularly in terms of unit cell dimension, element type and angular stability, and tunable FSS are also discussed.

4 citations

Journal ArticleDOI
TL;DR: In this paper , the design of UWB wearable microstrip patch antenna for wireless body worn applications is discussed, where the authors present the BibTex toolbar search, dropdown menu search, search input search, input auto suggest filter search, and search input auto-suggest filter search.
Abstract: Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation S. Sesha Vidhya, K. G. Shanthi, P. Sivalakshmi, V. Sohith Reddy, V. Likith Varma, V. Dileep Kumar, Y. Prasanth Reddy; Design of UWB wearable microstrip patch antenna for wireless body worn applications. AIP Conference Proceedings 30 January 2023; 2523 (1): 020158. https://doi.org/10.1063/5.0111136 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search

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Journal ArticleDOI
TL;DR: In this paper , the authors focus on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person's identity, emotions, demographic attributes) or newly generated imagery.
Abstract: This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person's identity, emotions, demographic attributes) or newly generated imagery (e.g. with modified facial attributes). Facial processing tasks, such as face detection, face identification, facial expression recognition or facial attribute manipulation, are generally studied as separate research fields and without considering a particular scenario, context of use or intended purpose. This paper studies the field of facial processing in a holistic manner. It establishes the landscape of key computational tasks, applications and industrial players in the field in order to identify the 60 most relevant applications adopted for real-world uses. These applications are analysed in the context of the new proposal of the European Commission for harmonised rules on AI (the AI Act) and the 7 requirements for Trustworthy AI defined by the European High Level Expert Group on AI. More particularly, we assess the risk level conveyed by each application according to the AI Act and reflect on current research, technical and societal challenges towards trustworthy facial processing systems.

7 citations

Journal ArticleDOI
TL;DR: The results of this study show that the proposed AAS can recognize multiple faces and so record attendance automatically and can assist in the detection of students who attempt to skip classes without the knowledge of their teachers.
Abstract: The aim of this study was to develop a real-time automatic attendance system (AAS) based on Internet of Things (IoT) technology and facial recognition. A Raspberry Pi camera built into a Raspberry Pi 3B is used to transfer facial images to a cloud server. Face detection and recognition libraries are implemented on this cloud server, which thus can handle all the processes involved with the automatic recording of student attendance. In addition, this study proposes the application of data serialization processing and adaptive tolerance vis-à-vis Euclidean distance. The facial features encountered are processed using data serialization before they are saved in the SQLite database; such serialized data can easily be written and then read back from the database. When examining the differences between the facial features already stored in the SQLite databases and any new facial features, the proposed adaptive tolerance system can improve the performance of the facial recognition method applying Euclidean distance. The results of this study show that the proposed AAS can recognize multiple faces and so record attendance automatically. The AAS proposed in this study can assist in the detection of students who attempt to skip classes without the knowledge of their teachers. The problem of students being unintentionally marked present, though absent, and the problem of proxies is also resolved.

2 citations

01 Jan 2018
TL;DR: This work proposes and develops a decentralised exchange solution based on smart contracts running on the Ethereum network that is open, verifiable, and does not require trust, and implements a working platform, which is tested in a model scenario, successfully exchanging Bitcoin and Ether on the blockchain test networks.
Abstract: Trading cryptocurrency on current digital exchange platforms is a trust-based process, where the parties involved in the exchange have to fully trust the service provider. As it has been proven several times, this could lead to funds being stolen, either due to malicious service providers that simply disappear or due to hacks that these platforms might suffer. In this work, we propose and develop a decentralised exchange solution based on smart contracts running on the Ethereum network that is open, verifiable, and does not require trust. The platform enables two parties to trade different currencies, limited to Ethereum and Bitcoin in the current status of the system. A smart contract, deployed on the Ethereum blockchain, functions as an escrow, which holds a user’s funds until a verified transaction has been made by the other party. To make the smart contract able to detect a Bitcoin transfer, we implement our solution by utilising an oracle. We define the system architecture and implement a working platform, which we test in a model scenario, successfully exchanging Bitcoin and Ether on the blockchain test networks. We conclude the paper identifying possible challenges and threats to such a system.

2 citations

Journal ArticleDOI
TL;DR: In this paper , the authors study consumers' perceptions of the possibility of using blockchain technology in the distribution of "organic" food products and develop a predictive model, using the basic regression equation, to obtain a positive perception of the use of blockchain technology for food and environmental goods.
Abstract: the Use of Blockchain Technology. the Implementation of the “Green Deal” Strategy Abstract The European Union aims for Member States to achieve climate neutrality by 2050. To this end, the European Commission has launched a set of policy initiatives in The European Green Deal. One of the components is the Farm to Fork strategy, through which the European Union aims to increase, among other things, to 25% of the agricultural areas with organic production, as well as new labeling rules to promote the sustainable consumption of food and organic food. A modern technology that can be used for food traceability is Blockchain technology. The main objective of this paper is to study consumers’ perceptions of the possibility of using blockchain technology in the distribution of “organic” food products. The research was quantitative and followed the specific aspects of the blockchain concept and its use in the distribution and tracking of food and ecological goods, “organic”. The aim of the research was to develop a predictive model, using the basic regression equation, to obtain a positive perception of the use of blockchain technology for food and environmental goods.

1 citations

Journal ArticleDOI
TL;DR: This paper has proposed a technique which eliminates all the errors and illegal activities which happen at the initial stage of the examination process and has proved to provide a better security rather than the manual checkup process.

1 citations