Anitha Velu
@adhiyamaan.ac.in
Assistant Professor/Electronics and Communication Engineering
Adhiyamaan College of Engineering
Anitha Velu received her Bachelor degree in Electronics and Communication Engineering from Vivekanandha Educational Institutions, Tiruchengode, Tamil Nadu in 2014, Masters in VLSI Systems from Adhiyamaan College of Engineering, Hosur, Tamil Nadu in 2016 and Ph.D in Information and Communication Engineering from Anna University, Chennai in 2022. Currently she is an Assistant Professor in the Department of Electronics and Communication Engineering at Adhiyamaan College of Engineering, Hosur, India. Her research interests include Digital Image Processing, VLSI Design, Ontology and Semantic web technology.
EDUCATION
Bachelor of Engineering (Electronics and Communication Engineering)
Master of Engineering (VLSI Design)
Philosophy of Doctorate (Information and Communication Engineering)
RESEARCH INTERESTS
Digital Image Processing, VLSI Design, Ontology and Semantic Web technology
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Anitha Velu, Raghu Ramamoorthy, Saravana Kumar E, and K Shruthi
IEEE
Horticulture is the science of sustainable production, advertising and marketing the intensively cultivated food and decorative plants. The major intricacy in horticulture is maintaining the temperature within the controlled environment such as polyhouse or green house which leads to plant damage like root rot, leaf spots, downy mildew. This results in IoT of human intervention in checking the temperature periodically and provide remedial measures to maintain it. In order to overcome such issues this work proposes an IoT-based Automatic Temperature Controller (ATC) system using Arduino board interfaced with the environmental data by deploying Internet of Things (IoT). The proposed work incorporates two phases: (i) Collection of data for the different floral plants and uploading it to the IoT cloud (ii) Implementing the hardware part using Arduino UNO kit for ATC system. The ATC system gets the values of temperature and humidity from DHTII sensor where, the entire system is connected to the Arduino microcontroller which compares the recorded value with the threshold value set by user in cloud. The motor will be turned on by the controller being the observed temperature is found larger than the threshold value. The proposed system has been tested on different floral plants that are of high productivity in and around Hosur, Tamil Nadu circumstances namely Gerbera daisy, Button rose, Chrysanthemum and Rose. This work can be extended for other agricultural application purposes like creepers, mushroom cultivation etc.
Anitha Velu and Menakadevi Thangavelu
Springer Science and Business Media LLC
Anitha Velu and Menakadevi Thangavelu
Computers, Materials and Continua (Tech Science Press)
Anitha Velu and Menakadevi Thangavelu
Springer Science and Business Media LLC
Ocean and Land based satellite observation system comprises of various sensors and configurations. The generated Geospatial Climatic Data (GCD) by sensors is transmitted in heterogeneous file formats with heterogeneous vocabularies that lead to semantic heterogeneity of data. Government and public organizations started to publish these datasets to users through climatic web portals. The critical task in handling heterogeneous files is data interpretation and interoperability. This can be handled by facilitating the data to reach semantically structured or linked data. This paper proposes a Hetero-GCD2RDF data retrieval approach that focuses on two aspects (1) Extraction of records from satellite data and represent it as linked data namely Resource Description Framework (RDF) and (2) Implementation of SPARQL query engine to the resultant RDF for data retrieval. Data from Indian Meteorological Satellite INSAT-3D is taken as a typical example to execute the proposed approach. Where, approximately 170 files of about 650 MB in memory containing 1,278,000 records have been converted and queried. Compared to conventional methods the proposed method saves nearly 38.12% of time to represent the data in RDF. Thus, the proposed Hetero-GCD2RDF approach is recognized to be efficient, reliable and suitable for semantic web.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
GRANT DETAILS
1. “An Efficient Parallel Turbo Decoder Architecture for Wireless Network Applications,” funded by Institution of Engineers, India under Grant-in-aid scheme with ID: RDPG2016017.
2. “A Novel Approach Of Designing Ontology Based Semantic Web Architecture Addressing Satellite Data Interoperability For Ocean Applications,” funded by Institution of Engineers, India under Grant-in-aid scheme with ID: DR2019006.
INDUSTRY EXPERIENCE
Over 1 year of experience as R&D Trainee in Trilok Laboratories Pvt Ltd, Bangalore