Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Steganography & Support vector machine. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Smart Garbage Monitoring Using IoT

Abstract: In recent times, cleanliness has become an important factor for human health. One major aspect of cleanliness is the efficient disposal of wastes. Accumulation of waste products for prolonged periods of time can lead to the spreading of various diseases. Therefore, countries around the world are taking attempts to ensure proper handling of waste products. The system we built will apprise individuals or organisations about the amount of waste in their bins and also alert them when the bin is filled to the brim. Our system also analyses the waste products to ensure the proper segregation of the wastes into biodegradable, non-biodegradable and recyclable wastes. The system also recognizes objectionable materials in the bin, using Computer Vision API and sends an alert as and when they are disposed. This system will thus help promoting cleanliness in the country. By utilising this system, people need not check their bins on a regular basis as they will be notified when required.

A joint venturing of single supplier and single retailer under variable price, promotional effort and service level

Abstract: This paper analyses a two-echelon supply chain composed of one supplier and one retailer. The market demand is assumed to be uncertain and considered to be retail price dependent and dependent on the supplier's service level and on the retailer's promotional effort. The unsold items at the retailer are repurchased by the supplier at a price less than the sales prices. Conversely, the retailer encounters shortages because the demand is naturally uncertain. The optimal order quantity, selling price, promotional effort and service level are evaluated analytically as well as numerically for single period news-vendor-type demand patterns. The profit functions of the supplier and the retailer are analysed and compared in accordance with Stakelberg and integrated approaches. Computational results show that an integrated system is always beneficial for the members of the chain.

Adapting mobility of observers for quick reputation assignment in a sparse post-disaster communication network

Abstract: Researchers have proposed to use smart-phone based opportunistic networks for post-disaster communication where the smart-phones carried by the volunteers (also known as, nodes) are used to exchange the situational information from different corners of the disaster affected areas. In such scenario, some malicious nodes may try to intercept and manipulate the sensitive situational data with the intention of corruption and fraud. One way of preventing such corruption is to detect the malicious nodes based on their reputation and avoid them during data forwarding. In our earlier work [1], we proposed a dynamic reputation estimation technique where a group of trusted, independent, roving observer were assigned to specific affected zones. They randomly monitor, estimate the behavior of nodes in terms of their cooperation pattern as well as group-biasness and periodically publish a global node reputation matrix to help other nodes in selecting a suitable unselfish, unbiased and cooperative forwarder. In this paper, we suggested some improvement on the reputation collection mechanism proposed in our earlier work so that global reputation matrix can be generated quickly in a sparse network. In a post-disaster scenario, volunteers normally work around shelters; As a result, volunteers are found to be sparsely spread across the entire affected area. Observers, being unaware of the locations of volunteers or shelters, move around randomly within their designated zones to collect reputation of volunteers. Thus, the time taken to collect the reputation of all nodes in a specific zone is found to be quite large. Our objective, in this paper, is to adapt the mobility of an observer towards the more volunteer-rich areas in that zone so that maximum volunteers can be met in minimum time and the reputations may be collected quickly. Inspired by Ant colony based route selection algorithm we have implemented volunteer-concentration based adaptive mobility of the observers. The performance of the proposed scheme is evaluated using ONE simulator [13].

Construction of optimal teleportation witness operators from entanglement witnesses

Abstract: Teleportation witnesses are Hermitian operators which can identify useful entanglement for quantum teleportation. Here we provide a systematic method to construct teleportation witnesses from entanglement witnesses corresponding to general qudit systems. The witnesses so constructed are shown to be optimal for qubit and qutrit systems and therefore detect the largest set of states useful for teleportation within a given class. We demonstrate the action of the witness pertaining to different classes of states in qubits and qutrits. Decomposition of the witness in terms of spin operators facilitates experimental identification of useful resources for teleportation.