Electronic Data Processing used automated methods for processing commercial data. There is big amount of work on discovering duplicates in relational data; merely elite findings concentrate on duplication in additional multifaceted hierarchical structures. Electronic information is one of the key factors in several business operations, applications, and determinations, at the same time as an outcome, guarantee its superiority is necessary. Data superiority, on the other hand, can be adjusted by different kind of errors from the heterogeneous domains. Duplicates are several delegacy of the identical real world thing which is dissimilar from each other. Duplicate finding a little assignment because of the actuality that duplicates are not accurately equivalent, frequently because of the errors in the information. Accordingly, many data processing techniques never apply widespread assessment algorithms which identify precise duplicates. As an alternative, evaluate all objective representations, by means of a probably compound identical approach, to identifying that the object is real world or not. In this paper we given detailed survey analysis and groundwork on duplicate detection in hierarchical data. Also we proposed a new idea i.e. use of pruning algorithm to detect similarity between the objects. This survey paper is useful to the persons who are doing research in Duplicate Detection in XML data or Hierarchical Data.
Considering the day by day rapid increase in the population of the world, providing appropriate healthcare to elderly or unwell people becomes a crucial issue and needs high attention from mainly medical, also industrial and academic fields of the society. Nowadays on the Internet of Things (IoT), there is extensive research on finding the solution for improving the quality of life of the people. In this Project we are presenting a prototype of a health monitoring system which is based on IoT and makes use of wearable sensors, thereby providing remote and continuous monitoring of a patient’s health. The system continuously monitors the patient’s heartbeat, temperature and medicines consumed, by using a web application. Various sensors will be used such as heartbeat sensor and temperature sensor for patients as well as load sensor to get data about how many medicines patient have and when to refill the medicine box. Based on the values acquired from temperature and heartbeat sensor predictions are given about the patient’s condition. All sensors will be communicating with an application through a remote web server where all data will be hosted using IoT protocols.
Data sharing is an critical functionality in cloud garage. In this article, we display a way to securely, efficiently, and flexibly share information with others in cloud garage. We describe new public-key cryptosystems which produce steady-size ciphertexts such that green delegation of decryption rights for any set of ciphertexts are possible. The novelty is that possible aggregate any set of secret keys and lead them to as compact as a single key, however encompassing the electricity of all of the keys being aggregated. In other phrases, the secret key holder can launch a constant-size mixture key for flexible alternatives of ciphertext set in cloud storage; however the different encrypted files outside the set stay private. This compact mixture key can be conveniently despatched to others or be saved in a clever card with very limited comfortable storage. We offer formal security evaluation of our schemes inside the trendy version. We additionally describe other utility of our schemes. In precise, our schemes provide the first public-key patient-controlled encryption for bendy hierarchy, which turned into but to be acknowledged.
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