A Proof of Stake Sharding Protocol for Scalable Blockchains

Cryptocurrencies such as Bitcoin has drawn great attention recently. The public ledger blockchain serves as a secure database for cryptocurrencies. However, only 3 to 7 transactions can be processed per second, which means the blockchain does not scale. To address this problem, we propose a new consensus protocol based on sharding and proof of stake. The scalability of our proposed method is expected to increase linearly with the network size. We discuss proposed method from the scalability evaluation, complexity and security view

Visualization of Complex Networks based on Dyadic Curvelet Transform

A visualization method is proposed for understanding the structure of complex networks based on an extended Curvelet transform named Dyadic Curvelet Transform (DClet). The proposed visualization method comes to answer specific questions about structures of complex networks by mapping data into orthogonal localized events with a directional component via the Cartesian sampling sets of detail coefficients. It behaves in the same matter as human visual system, seeing in terms of segments and distinguishing them by scale and orientation. Compressing the network is another fact. The performance of the proposed method is evaluated by two different networks with structural properties of small world networks with N = 16 vertices, and a globally coupled network with size N = 1024 and 523 776 edges. As the most large scale real networks are not fully connected, it is tested on the telecommunication network of Iran as a real extremely complex network with 92 intercity switching vertices, 706 350 E1 traffic channels and 315 525 transmission channels. It is shown that the proposed method performs as a simulation tool for successfully design of network and establishing the necessary group sizes. It can clue the network designer in on all structural properties that network has

Visualization systems based on formal concept analysis and their application to web retrieval

科学研究費助成事業 研究成果報告書：若手研究(B)2011-2013 課題番号：2370024

Development of High-Precision 3D Measurement On Agriculture Using Multiple UAVs

Imaging system for high-precision 3D map on agriculture using UAVs was developed. The system was based on safe and easy UAVs with a ground station application which designed to be the interface between a human operator and the UAVs to carry out mission planning, flight command activation, and real-time flight monitoring. Based on the navigation data, and the way-points generated by the ground station, the UAVs could be automatically navigated to the desired waypoints and hover around each waypoint to collect field image data. By taking only low-resolution image, the proposed system is able to reduce the payload and increase the flight time of the UAVs. The input images then transform into higher-resolution image using reference images, taken by field server or ground-based device, via super-resolution techniques which is able to reduce blurring, blocking, and ringing artifacts especially in edge areas. Finally, we construct high-precision 3D map which proven having error of a millimeter order of magnitude. Our experiment result show that the input low-resolution can be transform into high-resolution image and effective to construct high-precision 3D map. The result indicate that the proposed system provides a reliable method of sensing agricultural field with high-precision 3D map

A Proof of Stake Sharding Protocol for Scalable Blockchains

Cryptocurrencies such as Bitcoin has drawn great attention recently. The public ledger blockchain serves as a secure database for cryptocurrencies. However, only 3 to 7 transactions can be processed per second, which means the blockchain does not scale. To address this problem, we propose a new consensus protocol based on sharding and proof of stake. The scalability of our proposed method is expected to increase linearly with the network size. We discuss proposed method from the scalability evaluation, complexity and security view

形式概念分析とグラフマイニングによる効果的なオンライン学習百科事典の構築

科学研究費助成事業 研究成果報告書：基盤研究(C)2014-2016課題番号 : 2633039