A human-centric integrated approach to web information search and sharing

Shtykh, Roman Y.; Jin, Qun

doi:10.1186/2192-1962-1-2

Cited by 26 publications

(7 citation statements)

References 54 publications

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“…Therefore, it is helpful to select the location of the Passcell using a background image, as seen at the right of Figure 1. If you set Passcell using a pattern or background image, you can increase their memorability [6,22]. Each Passcell location is represented as (i, j), where {(i, j) | i ∈ x, j ∈ y}.…”

Section: Passcells Settingmentioning

confidence: 99%

Elastic password authentication scheme using the Passcell-based virtual scroll wheel

Kim

et al. 2013

International Journal of Computer Mathematics

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User authentication such as password setting has become increasingly important for the secure management of the information stored in mobile devices. However, in the password authentication schemes used in mobile devices, enhancing security reduces their usability, and passwords become hard to memorize. In addition, enhancing their usability makes them vulnerable to shoulder-surfing or recording attacks involving stealing a glance at the authentication process through the system interface. In this paper, we propose a password authentication scheme that uses a virtual scroll wheel, called WheelLock, to ensure appropriate usability and prevent brute force, shoulder-surfing, and recording attacks.

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Section: Passcells Settingmentioning

confidence: 99%

Elastic password authentication scheme using the Passcell-based virtual scroll wheel

Kim

et al. 2013

International Journal of Computer Mathematics

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“…For example, a generated set of risk factors ( , , ) = (1.65, 3.89, 9.26) is rounded to (2,4,9). To ensure that the generated values are in the range of [1,10], we also define a filter in @RISK model. The values smaller than 0.5 or greater than 10.5 are discarded.…”

Section: Grpn ( )mentioning

confidence: 99%

“…With the trend of information overload, humans face more and more challenges in their activities and have to deal with them [1,2]. Although most industries incorporate automation techniques into production processes to deal with the challenges, the risk of failure always exists in processes where humans are involved.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare

Chu

Hung

2014

Journal of Applied Mathematics

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To satisfy the requirement for diverse risk preferences, we propose a generic risk priority number (GRPN) function that assigns a risk weight to each parameter such that they represent individual organization/department/process preferences for the parameters. This research applies GRPN function-based model to differentiate the types of risk, and primary data are generated through simulation. We also conduct sensitivity analysis on correlation and regression to compare it with the traditional RPN (TRPN). The proposed model outperforms the TRPN model and provides a practical, effective, and adaptive method for risk evaluation. In particular, the defined GRPN function offers a new method to prioritize failure modes in failure mode and effect analysis (FMEA). The different risk preferences considered in the healthcare example show that the modified FMEA model can take into account the various risk factors and prioritize failure modes more accurately. In addition, the model also can apply to a generic e-healthcare service environment with a hierarchical architecture.

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“…Data is often missing when user input is required. For example, in humancentric computing, systems often require user profile data for the purpose of personalization [4]. In the case of Twitter, text data is used for sentiment analysis in order to analyze user behaviors and attitudes [5].…”

Section: Introductionmentioning

confidence: 99%

Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications

Sim

Lee

Kwon

2015

Mathematical Problems in Engineering

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In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making. However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data. This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data. Many studies have attempted to overcome these data incompleteness issues and to improve the quality of data analysis using classification algorithms. The performance of classification algorithms may be affected by the characteristics and patterns of the missing data, such as the ratio of missing data to complete data. We perform a concrete causal analysis of differences in performance of classification algorithms based on various factors. The characteristics of missing values, datasets, and imputation methods are examined. We also propose imputation and classification algorithms appropriate to different datasets and circumstances.

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A human-centric integrated approach to web information search and sharing

Cited by 26 publications

References 54 publications

Elastic password authentication scheme using the Passcell-based virtual scroll wheel

Elastic password authentication scheme using the Passcell-based virtual scroll wheel

Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare

Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications

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