Data Aggregation for Capacity Management. (May 2003) Yong Woo Lee, B.E., Inha University Chair of Advisory Committee: Dr. V. Jorge Leon This thesis presents a methodology for data aggregation for capacity management. It is assumed that there are a very large number of products manufactured in a company and that every product is stored in the database with its standard unit per hour and attribut...

During Financial Cryptography 2012 Chan et al. presented a novel privacy-protection fault-tolerant data aggregation protocol. Comparing to previous work, their scheme guaranteed provable privacy of individuals and could work even if some number of users refused to participate. In our paper we demonstrate that despite its merits, their method provides unacceptably low accuracy of aggregated data...

Meta-data plays a significant role in large modern enterprises, research experiments and digital libraries where it comes from many different sources and is distributed in a variety of digital formats. It is organized and managed by constantly evolving software using both relational and non-relational data sources. Even though we can apply an information retrieval approach to non-relational dat...

Cities have an ever increasing wealth of sensing capabilities, recently including also Internet of Things (IoT) systems. However, to fully exploit such sensing capabilities with the aim of offering effective citysensing-driven applications still presents certain obstacles. Indeed, at present, the main limitation in this respect consists of the vast majority of data sources being served on a “be...

Data Aggregation is widely used technique in wireless sensor networks (WSNs). The Security become a major issue, data confidentiality and data integrity in data aggregation. data aggregation should be incorporated in order to save energy. In this paper, the secure data aggregation schemes are categorized into hop by hop aggregation and end to end aggregation, and then the secure data aggregatio...

Introduction 1 Motivation and Description of Data Aggregation 2 Other Types of In-Network Processing 3 Modeling In-Network Data Aggregation In WSNS 4 Tree-Based In-Network Data Aggregation 4 Cluster-Based, In-Network Data Aggregation 5 Application-Specifi c, In-Network Data Aggregation 5 Structure-Free, In-Network Data Aggregation 6 The Impact of Data Aggregation on Data Latency 6 Time Synchron...

Sensor nodes deployed in Wireless Networks (WSNs) are battery powered. It operates at low voltage. The main challenge WSNs is to reduce energy consumption so that it increases the lifetime of sensor nodes. goal achieved by using data aggregation technique and also selecting appropriate routing strategy. commonly arranged unmanned location; security plays another important role. In order provide...

To reduce the data volume, various algorithms have been proposed for data compression and data aggregation. In object tracking applications, natural phenomena show that many creatures form large social groups and move in regular patterns. However, the previous works do not address application level semantics, such as the group relationships and movement patterns, in the location data. In this p...

In our present investigation, a series of novel 4-methoxy-1,3-benzenediolyl-hydrazones were designed and synthesized, and their ability to inhibit platelet aggregation was evaluated by adenosine diphosphate (ADP) and arachidonic acid (AA). The structures of the synthesized compounds were confirmed by spectral data. Results demonstrated that the activities of all compounds excelled the positive d...