In this paper we present and analyze a multi{level voting algorithm for preventing inconsistencies among replicated data in a distributed computer system. The algorithm is a layered combination of the well known write{all/read{one and majority consensus approaches. It avoids the disadvantages of the conventional at voting strategies in terms of message cost and availability, particularly in an ...

Demosaieing is the process of interpolating the missing colors in an image that is acquired from a digital image sensor equipped with e color fllter array. This paper based on the Jacobian matrix of the color map and neighborhood voting. The algorithm requires only additions, subtractions end shifts, end is therefore attractive from a computational point of view. Comparisons are provided to sho...

This paper presents a generic recursive algorithm for fault-tolerant computing. The algorithm uses recursive majority voting to achieve fault tolerance on a multiprocessor system. Both space and time redundancy are employed dynamically in the algorithm. By deening diierent parameters , the algorithm can be applied to diierent situations. The correctness and performance analysis of the algorithm...

This paper describes an unsupervised olgorirhm f o r segmenting categorical time series inro episodes. The VOTING-EXPERTS algorithm first collects starisrics about the frequency and boundav entmpy of ngrams. then passes a window over rhe series and has two “expert methods ” decide where in rhe window boundaries should be drawn. The algorirhm successfully segments t a r into words in four langua...

In this paper, we present our approach to author ranking subtask; which is a part of author-profiling task in RepLab 2014. In this subtask, systems are expected to detect influential authors and opinion makers on Twitter website. The systems’ output, for a given domain, must be a ranked list of authors according to their probability of being an influential author or opinion maker. Our system ut...

In this paper, we propose a novel framework which can fuse multiple user selected features in different direct volume rendered images into a comprehensive image according to users’ preference. The framework relies on three techniques, i.e., user voting, genetic algorithm, and image similarity. In this framework, we transform the fusing problem to an optimization problem with a novel energy func...

Since the existing floating car map-matching algorithms lead to high error rate when GPS data sampling rate is low, we propose a global-voting map matching algorithm. Based on floating car GPS track data, the algorithm do not only consider the influence to matching process caused by the topological information of road network but also the different spatial distance of GPS track data. In this ma...

This paper presents a decentralized variant of David Gifford's classic weighted-voting scheme for managing replicated data. Weighted voting offers a familiar consistency model and supports on-line replica reconfiguration. These properties make it a good fit for applications in the pervasive computing domain. By distributing versioned metadata along with data replicas, and managing access to bot...

One of many major issues that plagues Internet voting is the potential for a distributed denial of service attack on the voting servers. These denial of service attacks are harmful because they block voting during the downtime. In addition, most current online voting protocols are centralized with only one voting server, making such an attack likely to disenfranchise some voters. The question i...