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Secrecy of Uploaded Images on Locates Using A3P Algorithm
Sivanantham Sivakumar,
Musrathasleema Abdul Rahman,
Nandhini Balu,
Nivetha Nainar
Issue:
Volume 2, Issue 3, September 2017
Pages:
78-85
Received:
13 February 2017
Accepted:
15 March 2017
Published:
29 March 2017
DOI:
10.11648/j.mlr.20170203.11
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Abstract: With increasing volume of images users share through social sites, maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users individually shared personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent. Toward addressing this need, we propose an Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. We examine the role of social context, image content and metadata as possible indicators of user’s privacy preferences. We propose a two-level framework which according to the user’s available history on the site, determines the best available privacy policy for the user’s images being uploaded. Our solution relies on an image classification framework for images categories which may be associated with similar policies on a policy prediction algorithm to automatically generate a policy for each newly uploaded image and also according to user’s social features. Over time, generated policies will follow the evolution of user’s privacy attitude.
Abstract: With increasing volume of images users share through social sites, maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users individually shared personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent. Toward addr...
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Using Soft Computing Techniques for Prediction of Winners in Tennis Matches
Mateus de Araujo Fernandes
Issue:
Volume 2, Issue 3, September 2017
Pages:
86-98
Received:
24 February 2017
Accepted:
20 March 2017
Published:
10 April 2017
DOI:
10.11648/j.mlr.20170203.12
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Abstract: The forecast of winners in sports brings valuable information for both organizers, media and audience, and this is particularly important in tennis, where the results of a round in a tournament determine which matches will occur in the next round. With that in mind, this work presents a study of the main factors influencing matches predictability and, from this analysis, a new hybrid approach is proposed to calculate the chances of victory of each of the competitors before the start of a match. A Fuzzy Inference System, with its ability to reproduce knowledge of an expert among mixed information, a Neural Network, with the capability of features extraction from examples, and a Strength Equation with optimized weighting factors are the techniques employed. These predictors have as inputs data from previous performances of the players, which in this case try to capture their short, medium and long-term performances, as well as their affinity for the different types of surfaces. Subsequently the results from these predictors are combined by a voting system. The results are encouraging, showing significant gains when comparing to the use of the ATP ranking.
Abstract: The forecast of winners in sports brings valuable information for both organizers, media and audience, and this is particularly important in tennis, where the results of a round in a tournament determine which matches will occur in the next round. With that in mind, this work presents a study of the main factors influencing matches predictability a...
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Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA)
Iman Shafieenejad,
Ahmad Cheraghi,
Mona Tafreshi
Issue:
Volume 2, Issue 3, September 2017
Pages:
99-104
Received:
25 February 2017
Accepted:
24 March 2017
Published:
10 April 2017
DOI:
10.11648/j.mlr.20170203.13
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Abstract: In this paper, new aerial vehicle is proposed for rescue mission. This new and developed aerial vehicle can be named as Samarai Mono-Copter (SMC) with especial and novel design. The mission is considered as mountain rescue operation to show the ability of SMC vehicle about life saving. SMC can be used widely in the many field of human life such as accident, earthquake, military injuries and many other missions about human life and lifesaving.
Abstract: In this paper, new aerial vehicle is proposed for rescue mission. This new and developed aerial vehicle can be named as Samarai Mono-Copter (SMC) with especial and novel design. The mission is considered as mountain rescue operation to show the ability of SMC vehicle about life saving. SMC can be used widely in the many field of human life such as ...
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Chinese Word Segmentation Based on Conditional Random Field
Junxia Deng,
Hong Zhang,
Shanzai Li
Issue:
Volume 2, Issue 3, September 2017
Pages:
105-109
Received:
6 February 2017
Accepted:
27 February 2017
Published:
17 April 2017
DOI:
10.11648/j.mlr.20170203.14
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Abstract: This paper systematically describes the definition, model structure, parameter estimation and corpus selection of the conditional random field model, and applies the conditional random field to the Chinese word segmentation and the Chinese word segmentation method. In this paper, a large number of experiments have been carried out using conditional random fields. The experimental corpus has been tested by Changjiang Daily for many years. Experiments are carried out to analyze the influence of the choice of conditional random field model parameters and the selection of Chinese character annotation sets on the experimental results. Furthermore, the condition of random field model can be used to add the advantages of arbitrary features, and some new features are added to the model. Word probability, the paper explores the probability characteristic of word location. Experiments on the corpus show that the introduction of the word position probability feature has improved the accuracy, recall and the value of Fl.
Abstract: This paper systematically describes the definition, model structure, parameter estimation and corpus selection of the conditional random field model, and applies the conditional random field to the Chinese word segmentation and the Chinese word segmentation method. In this paper, a large number of experiments have been carried out using conditional...
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A Brief Summary of Pervasive Computing System’s Main Structure
Issue:
Volume 2, Issue 3, September 2017
Pages:
110-112
Received:
15 February 2017
Accepted:
27 March 2017
Published:
17 April 2017
DOI:
10.11648/j.mlr.20170203.15
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Abstract: Recently, the people have many technological opportunities to reach data. Nowadays, many products and new technologies are put on the markets at every hour. Today, in addition to produce new devices and technologies, the researchers should provide these devices to cooperate with each other at the most. And also, these devices and technologies should present an anywhere and anytime intelligence which is proposed with pervasive computing for users, lately. Here, the user is covered with an intelligence provided by miscellaneous technologies and technological products at no matter where.
Abstract: Recently, the people have many technological opportunities to reach data. Nowadays, many products and new technologies are put on the markets at every hour. Today, in addition to produce new devices and technologies, the researchers should provide these devices to cooperate with each other at the most. And also, these devices and technologies shoul...
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