Trupti Barsakar

Bio: Trupti Barsakar is an academic researcher from Maharashtra Institute of Technology. The author has contributed to research in topics: Supply chain & Product (category theory). The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Application of RFID and path planning algorithm for locating products in a wholesale market

Abstract: Inventory management and supply chain are areas which have strong potential to benefit from Radio Frequency Identification technology. In the premises of a wholesale market, location tracking of a product itself becomes challenging for the buyers. The implemented application will help the buyer to locate required product and find the shortest path from his location to the product's location. This will help him to locate the product in optimum time, thus saving his efforts in searching the product manually. The location tracking is developed with the RFID technology and shortest path is obtained through Digital Image Processing.

Edge Computing-Based ID and nID Combined Identification and Resolution Scheme in IoT

Abstract: The ubiquitous connections of physical objects in Internet of Things (IoT) is undoubtedly challenging the consistency mapping between physical space and cyberspace. As the key techniques for establishing the correspondences between physical objects and cyber entities, the objects identification and resolution (IR) attracted extensive attention. Conventional IR schemes in IoT generally rely on a single-mode of identification (ID) or nonidentification (nID) IR, which has big limitations in adaptability and reliability. In this case, a combined IR scheme based on ID and nID is proposed in this paper. In our proposed scheme, the ID code and nID features complement each other so as to break the restrictions of application domain and to provide better and humanized services. In order to improve the efficiency of the scheme, edge computing is introduced to reduce network transmission load and the computing burden of cloud, especially when the input data requires large amount of computing and storage resources. Furthermore, we design and implement a prototype of electronic product code (EPC) (ID) and fingerprint (nID) combined IR. Simulation results show that the edge computing-based ID and nID combined IR scheme has advantages in resolution accuracy and efficiency.