User password repetitive patterns analysis and visualization

2016 ◽  
Vol 24 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Xiaoying Yu ◽  
Qi Liao
Keyword(s):  
Security Policy ◽  
Large Data ◽  
Efficient Algorithms ◽  
Privacy And Security ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Word Cloud ◽  
Individual Privacy ◽  
Password Security

Purpose – Passwords have been designed to protect individual privacy and security and widely used in almost every area of our life. The strength of passwords is therefore critical to the security of our systems. However, due to the explosion of user accounts and increasing complexity of password rules, users are struggling to find ways to make up sufficiently secure yet easy-to-remember passwords. This paper aims to investigate whether there are repetitive patterns when users choose passwords and how such behaviors may affect us to rethink password security policy. Design/methodology/approach – The authors develop a model to formalize the password repetitive problem and design efficient algorithms to analyze the repeat patterns. To help security practitioners to analyze patterns, the authors design and implement a lightweight, Web-based visualization tool for interactive exploration of password data. Findings – Through case studies on a real-world leaked password data set, the authors demonstrate how the tool can be used to identify various interesting patterns, e.g. shorter substrings of the same type used to make up longer strings, which are then repeated to make up the final passwords, suggesting that the length requirement of password policy does not necessarily increase security. Originality/value – The contributions of this study are two-fold. First, the authors formalize the problem of password repetitive patterns by considering both short and long substrings and in both directions, which have not yet been considered in past. Efficient algorithms are developed and implemented that can analyze various repeat patterns quickly even in large data set. Second, the authors design and implement four novel visualization views that are particularly useful for exploration of password repeat patterns, i.e. the character frequency charts view, the short repeat heatmap view, the long repeat parallel coordinates view and the repeat word cloud view.

Artificial intelligence-based automatic visual inspection system for built heritage

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lukman E. Mansuri ◽  
D.A. Patel
Keyword(s):  
Artificial Intelligence ◽  
Visual Inspection ◽  
Image Data ◽  
Inspection System ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Built Heritage ◽  
Automatic Visual Inspection ◽  
Inspection Systems

PurposeHeritage is the latent part of a sustainable built environment. Conservation and preservation of heritage is one of the United Nations' (UN) sustainable development goals. Many social and natural factors seriously threaten heritage structures by deteriorating and damaging the original. Therefore, regular visual inspection of heritage structures is necessary for their conservation and preservation. Conventional inspection practice relies on manual inspection, which takes more time and human resources. The inspection system seeks an innovative approach that should be cheaper, faster, safer and less prone to human error than manual inspection. Therefore, this study aims to develop an automatic system of visual inspection for the built heritage.Design/methodology/approachThe artificial intelligence-based automatic defect detection system is developed using the faster R-CNN (faster region-based convolutional neural network) model of object detection to build an automatic visual inspection system. From the English and Dutch cemeteries of Surat (India), images of heritage structures were captured by digital camera to prepare the image data set. This image data set was used for training, validation and testing to develop the automatic defect detection model. While validating this model, its optimum detection accuracy is recorded as 91.58% to detect three types of defects: “spalling,” “exposed bricks” and “cracks.”FindingsThis study develops the model of automatic web-based visual inspection systems for the heritage structures using the faster R-CNN. Then it demonstrates detection of defects of spalling, exposed bricks and cracks existing in the heritage structures. Comparison of conventional (manual) and developed automatic inspection systems reveals that the developed automatic system requires less time and staff. Therefore, the routine inspection can be faster, cheaper, safer and more accurate than the conventional inspection method.Practical implicationsThe study presented here can improve inspecting the built heritages by reducing inspection time and cost, eliminating chances of human errors and accidents and having accurate and consistent information. This study attempts to ensure the sustainability of the built heritage.Originality/valueFor ensuring the sustainability of built heritage, this study presents the artificial intelligence-based methodology for the development of an automatic visual inspection system. The automatic web-based visual inspection system for the built heritage has not been reported in previous studies so far.

The relationship between risk, capital and efficiency in Indian banking: Does ownership matter?

2019 ◽  
Vol 11 (2) ◽  
pp. 218-231
Author(s):  
Sanjukta Sarkar ◽  
Rudra Sensarma ◽  
Dipasha Sharma
Keyword(s):  
Public Sector ◽  
Credit Risk ◽  
Large Data ◽  
Foreign Banks ◽  
Risk Capital ◽  
Lower Efficiency ◽  
Data Set ◽  
Content Type ◽  
Balance Sheets ◽  
Indian Banks

Purpose This paper aims to examine the interplay between risk, capital and efficiency of Indian banks and study how their relationship differs across different ownership types. Design/methodology/approach Panel regression techniques are used to analyze a large data set of all Indian scheduled commercial banks operating during the period 2008-2016. Findings The results show that lower efficiency is associated with higher credit risk in the case of public sector and old private sector banks (”bad management hypothesis”). However, higher efficiency leads to higher credit risk in the case of foreign banks (“cost skimping hypothesis”). The authors further find that the more efficient institutions among public sector hold more capital. Finally, they find that the better-capitalized banks among those in the public sector have lower risks on their balance sheets (“moral hazard hypothesis”). Originality/value There is a paucity of papers on the interplay between risk, capital and efficiency of banks in emerging economies. This paper is the first to study the inter-relationship between risk, capital and efficiency of Indian banks across ownership groups using a number of different measures of risk.

scholarly journals iCn3D: from Web-based 3D Viewer to Structure Analysis Tool in Batch Mode

2021 ◽  
Author(s):  
Jiyao Wang ◽  
Philippe Youkharibache ◽  
Aron Marchler-Bauer ◽  
Christopher Lanczycki ◽  
Dachuan Zhang ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Large Data ◽  
Accessible Surface Area ◽  
Solvent Accessible Surface Area ◽  
Analysis Tool ◽  
Batch Mode ◽  
Data Set ◽  
Web Based ◽  
Protein Protein Interaction ◽  
Link Type

AbstractiCn3D was originally released as a web-based 3D viewer, which allows users to create a custom view in a life-long, shortened URL to share with colleagues. Recently, iCn3D was converted to use JavaScript classes and could be used as a library to write Node.js scripts. Any interactive features in iCn3D can be converted to Node.js scripts to run in batch mode for a large data set. Currently the following Node.js script examples are available at https://github.com/ncbi/icn3d/tree/master/icn3dnode: ligand-protein interaction, protein-protein interaction, change of interactions due to residue mutations, DelPhi electrostatic potential, and solvent accessible surface area. iCn3D PNG images can also be exported in batch mode using a Python script. Other recent features of iCn3D include the alignment of multiple chains from different structures, realignment, dynamic symmetry calculation for any subsets, 2D cartoons at different levels, and interactive contact maps. iCn3D can also be used in Jupyter Notebook as described at https://pypi.org/project/icn3dpy.

Which professional skills value more under digital transformation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofia Paklina ◽  
Elena Shakina
Keyword(s):  
Text Mining ◽  
Labour Market ◽  
Empirical Evidence ◽  
Labour Force ◽  
Sample Selection ◽  
Large Data ◽  
Hedonic Pricing ◽  
Data Set ◽  
Content Type ◽  
Computing Skills

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

scholarly journals Translating emotional insights from hospitality employees’ comments

2018 ◽  
Vol 32 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lisa M. Young ◽  
Swapnil Rajendra Gavade
Keyword(s):  
Job Satisfaction ◽  
Sentiment Analysis ◽  
Big Data Analytics ◽  
Large Data ◽  
Hospitality Management ◽  
Data Set ◽  
Employee Survey ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
The Usa

PurposeThe purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.Design/methodology/approachSentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.FindingsEmployee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.Originality/valueThis is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.

The impact of social security policies on farmland reallocation in rural China

2018 ◽  
Vol 10 (4) ◽  
pp. 626-646
Author(s):  
Li Huang ◽  
Rong Tan
Keyword(s):  
Social Security ◽  
Security Policy ◽  
Rural China ◽  
Land Development ◽  
Security Policies ◽  
Farm Income ◽  
Data Set ◽  
Content Type ◽  
The Impact ◽  
The Village

Purpose The purpose of this paper is to explore the causality between social security policies and farmland reallocation in rural China. Design/methodology/approach It quantitatively analyzes the impact of each ongoing social security policy on farmland reallocation based on a data set from the 2011 China Health and Retirement Longitudinal Study (CHARLS, 2011). Findings The study finds that the inclination of a village farmers’ collective to reallocate farmland due to changes in the village population increased if social security policies do not effectively cover the village because farmers rely primarily on income from farmland to cover their basic living expenses. However, if social security policies provide adequate coverage, then farmers do not rely entirely on on-farm income and the likelihood of farmland reallocation decreases. Furthermore, the effectiveness of social security policies includes not only coverage but also the sufficiency of the security policies provided. Research limitations/implications First, the authors use only cross-sectional data in this study, which may result in biased estimation and also limit temporal examination of the impact of social security systems, farmland reallocation and related policy variables. This limitation may be especially important in China because the country is undergoing a rapid socioeconomic transition. However, the research is constrained by the available data. Furthermore, there could be endogeneity problems that are difficult to address, given the current data set. These problems could involve the impacts of village-level economic, natural and social variables, the implementation of related public policies (land development and consolidation, land expropriation, etc.) and other economic variables. Practical implications These findings may provide implications for related policy reform in the near future. Originality/value These findings may facilitate a recognition and understanding of the causality between social security policies and farmland reallocation in rural China.

Corporate lawyers in the USA: pathway to gender parity?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alicia R. Ingersoll ◽  
Christy Glass ◽  
Alison Cook
Keyword(s):  
Wage Gap ◽  
Large Data ◽  
Gender Disparities ◽  
Law Firms ◽  
Data Set ◽  
Public Companies ◽  
Content Type ◽  
Representation Of Women ◽  
Gender Parity ◽  
The Usa

Purpose The current study aims to analyze the connection between gender disparities and employment in senior legal roles within large American firms. Specifically, this study seeks to uncover whether legal positions in large corporations reproduce inequalities in representation and wages, or whether these roles provide women with a pathway to greater gender parity. Design/methodology/approach Investigating a large data set of over 2,000 USA public companies over a ten-year period, this study examines the representation of women in senior legal roles, the likelihood of women’s appointment to those roles as a function of the gender composition of the industry and if a wage gap exists between men and women serving in the top legal roles in corporate America. Findings Findings suggest that rather than moving women closer to gender parity, in-house counsel positions reproduce many of the same inequalities found in large law firms, particularly with regard to representation in senior ranks and compensation. Originality/value Research has illustrated that women experience disadvantage in terms of representation, wages and advancement in large law firms and in corporate executive suites. Women lawyers who occupy senior executive roles, however, may benefit relative to their non-legal counterparts given their education and expertise. Their credentials and relative status may contribute in reducing or eliminating gender disparities. This study extends current research by investigating this potential path to greater gender equality.

A behavioral perspective on corporate dividend policy: evidence from France

2019 ◽  
Vol 19 (1) ◽  
pp. 102-119 ◽  
Author(s):  
Dhoha Trabelsi ◽  
Saqib Aziz ◽  
Jean-Jacques Lilti
Keyword(s):  
Dividend Policy ◽  
Family Firms ◽  
Investor Sentiment ◽  
Large Data ◽  
Payout Policy ◽  
High Concentration ◽  
Data Set ◽  
Content Type ◽  
Family Control ◽  
Managerial Opportunism

PurposeThis paper empirically examines the catering theory of Baker and Wurgler (2004) in the particular context of France. Considering the characteristics of French market – known for its high concentration of capital – it attempts to highlight the role family control plays in the managerial tendencies to satisfy non-informative dividend demands.Design/methodology/approachThe paper focuses on a large data set of French firms included in the SBF-250 index over a period of 1992-2010. It uses a variety of dividend policy measures, including dividend premium, percentage of dividend-paying firms and probability of paying dividends. It adopts appropriate empirical specifications (time-series and probit models) to substantiate the research hypotheses.FindingsThe empirical findings show that the percentage of payers rises with the dividend premium, and that the dividend premium and the confidence index of French households are negatively correlated. This reflects the sensitivity of dividend demand to investor sentiment. Moreover, results of multivariate panel regression show a positive and statistically significant effect of the dividend premium on the firm’s tendency to pay, after controlling for firm characteristics. Finally, it finds that the dividend premium effect disappears in the case of family-controlled firms. This result is in line with the long-term orientation of family firms.Research limitations/implicationsThe study focuses on the dividend payment behavior of French firms. Although dividends are deeply engrained in France, authors believe that it will be interesting to look at the whole payout policy and particularly the role played by share repurchases.Practical implicationsAddressing short-term catering and managerial opportunism, the results of this study may be of interest for shareholders, potential investors and regulators.Originality/valueTo the best of the authors’ knowledge, this is the first study that provides empirical evidence on Baker and Wurgler (2004) catering theory by considering the particularity of French market where, unlike the US, percentage of dividend-paying firms is high and the corporate ownership structures are different.

Analysis of tweets to find the basis of popularity based on events semantic similarity

2018 ◽  
Vol 14 (4) ◽  
pp. 438-452 ◽  
Author(s):  
Rajat Kumar Mudgal ◽  
Rajdeep Niyogi ◽  
Alfredo Milani ◽  
Valentina Franzoni
Keyword(s):  
Data Structure ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Design Methodology ◽  
Data Set ◽  
Semantic Similarity Measure ◽  
Web Based ◽  
Content Type ◽  
Social Trends ◽  
Event Information

PurposeThe purpose of this paper is to propose and experiment a framework for analysing the tweets to find the basis of popularity of a person and extract the reasons supporting the popularity. Although the problem of analysing tweets to detect popular events and trends has recently attracted extensive research efforts, not much emphasis has been given to find out the reasons behind the popularity of a person based on tweets.Design/methodology/approachIn this paper, the authors introduce a framework to find out the reasons behind the popularity of a person based on the analysis of events and the evaluation of a Web-based semantic set similarity measure applied to tweets. The methodology uses the semantic similarity measure to group similar tweets in events. Although the tweets cannot contain identical hashtags, they can refer to a unique topic with equivalent or related terminology. A special data structure maintains event information, related keywords and statistics to extract the reasons supporting popularity.FindingsAn implementation of the algorithms has been experimented on a data set of 218,490 tweets from five different countries for popularity detection and reasons extraction. The experimental results are quite encouraging and consistent in determining the reasons behind popularity. The use of Web-based semantic similarity measure is based on statistics extracted from search engines, it allows to dynamically adapt the similarity values to the variation on the correlation of words depending on current social trends.Originality/valueTo the best of the authors’ knowledge, the proposed method for finding the reason of popularity in short messages is original. The semantic set similarity presented in the paper is an original asymmetric variant of a similarity scheme developed in the context of semantic image recognition.

scholarly journals ICT-based innovation and its competitive outcome: the role of information intensity

2019 ◽  
Vol 22 (2) ◽  
pp. 383-404 ◽  
Author(s):  
Paolo Neirotti ◽  
Danilo Pesce
Keyword(s):  
Information And Communication Technologies ◽  
Fixed Effects ◽  
Innovation Process ◽  
High Growth ◽  
Large Data ◽  
Competitive Dynamics ◽  
Data Set ◽  
Content Type ◽  
Role Of Information

Purpose Prior research highlights the vital role of Information and Communication Technologies (ICT) for innovation in response to environmental conditions. However, there is a lack of studies that analyse the determinants of ICT investments on the innovation activities of firms in relation with their impacts on the industrial and competitive dynamics using large data sets. The paper aims to discuss these issues. Design/methodology/approach In this paper, the authors investigate the effects of ICT investments on the industrial and competitive dynamics for a large and representative panel data set. All the industries are included, and lagged effects of ICT investments are studied. The model is tested on a seven-year panel (2008–2014) of 231 Italian industries using two-stage least squares instrumental-variables estimators with industry time and fixed effects. Findings The results indicate that munificent industries and higher ICT spending are interrelated facts, showing that in sectors with more growth opportunities firms invest more in ICT and this leads to higher industry concentration, greater profit dispersion and higher competitive turbulence in the sector. Also, the paper shows that SMEs can rarely take advantage of their ICT-based innovation to start high-growth phenomena. Practical implications The results suggest that ICT-based innovation may create competitive advantages that are hard to sustain over the long-term raising important implications for managers involved in ICT-enabled innovations and policy-makers involved in building programs to foster innovation. Originality/value Against the backdrop of today’s digital transformation, the paper enriches our understanding on the disruptive effects exerted by the digitalization of the innovation process and provides a base to continue the investigation of industrial changes and competitive dynamics.

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