In this paper we propose a new way to verify eligible voters in a blockchain election. Usually verifying a voter in a list of eligible voters is done using linear search-based algorithms which runs with a worst-case time complexity of O(N) or O(kN). Our system shall use a Merkle tree to implement a search algorithm which runs with a worst-case time complexity of O(Log (N)). Under normal circumstances, when there are 1,000,000 eligible voters, the server would have to scan through 1,000,000 voter address hashes in order to verify a voter. In our system, only 20 hashes will be checked in order to verify a voter. The number of hashes required to calculate the number of hashes needed to process can be found out by getting the logarithm value of the number of hashes, to the base 2 since our Merkle tree has a branching factor of 2. A logarithmic algorithm will exponentially reduce the time and make the eligibility verification process more efficient. Since we are hashing the addresses of the voters before creating the tree, the privacy of the voters shall also be maintained. Instead of using a centralized database for handling the vote requests, we shall use a blockchain database in order to make this system decentralized. Making the system decentralized will make it almost impossible to tamper with the results of the election as once the election is deployed, even the owner of the election that is, the address that deploys the smart contract cannot tamper with the results or the functions in the deployed smart contract.
This paper presents a surveillance and energy saving system for a Hospital. The major wastage occurring in the hospitals are human energy (chaos & efforts from staff to manage crowd) and electrical energy. So the idea is to develop a smart chaos managing system integrated on the present surveillance system that automatically detects and alerts the security personals and thus will reduce the extra efforts of medical staff. Along with this a virtual electrical monitoring is present which can detect and identify short circuits and other problems and also turn off lightings and fans in places such as offices. This in total will be monitoring and automatically detecting chaos and directing securities and control electrical energy wastage in hospitals.
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