The aim of this work was the behavior analysis when a spell checker was integrated as an extra pre-process during the first stage of the test mining. Different models were analyzed, choosing the most complete one cons...The aim of this work was the behavior analysis when a spell checker was integrated as an extra pre-process during the first stage of the test mining. Different models were analyzed, choosing the most complete one considering the pre-processes as the initial part of the text mining process. Algorithms for the Spanish language were developed and adapted, as well as for the methodology testing through the analysis of 2363 words. A capable notation for removing special and unwanted characters was created. Execution times of each algorithm were analyzed to test the efficiency of the text mining pre-process with and without orthographic revision. The total time was shorter with the spell-checker than without it. The key difference of this work among the existing related studies is the first time that the spell checker is used in the text mining preprocesses.展开更多
During long-term use,the clay checker bricks for regenerators of coke ovens on gas side react with the impurities containing Fe and K20,causing foaming,softening and deformation,which is not only related with the impu...During long-term use,the clay checker bricks for regenerators of coke ovens on gas side react with the impurities containing Fe and K20,causing foaming,softening and deformation,which is not only related with the impurity content and properties of the clay checker bricks,but also related with the type and the composition of the dust in the gas.After long term use,the clay checker bricks of coke ovens on air side have relative lower impurities containing Fe and K20.The inferior clay checker bricks,with high impurity content and high porosity,are easy to pulverize and deteriorate due to the oxidationreduction reaction with the iron oxide and the gas.The gas quality shall be concerned for long service life of the coke oven regenerators.展开更多
Password authentication is vulnerable to dictionary attacks.Password strength measurement helps users to choose hard-to-guess passwords and enhance the security of systems based on password authentication.Although the...Password authentication is vulnerable to dictionary attacks.Password strength measurement helps users to choose hard-to-guess passwords and enhance the security of systems based on password authentication.Although there are many password strength metrics and tools,none of them produces an objective measurement with inconsistent policies and different dictionaries.In this work,we analyzed the password policies and checkers of top 100 popular websites that are selected from Alexa rankings.The checkers are inconsistent and thus they may label the same password as different strength labels,because each checker is sensitive to its configuration,e.g.,the algorithm used and the training data.Attackers are empowered to exploit the above vulnerabilities to crack the protected systems more easily.As such,single metrics or local training data are not enough to build a robust and secure password checker.Based on these observations,we proposed Hybritus that integrates different websites'strategies and views into a global and robust model of the attackers with multiple layer perceptron(MLP)neural networks.Our data set is comprised of more than 3.3 million passwords taken from the leaked,transformed and randomly generated dictionaries.The data set were sent to 10 website checkers to get the feedbacks on the strength of passwords labeled as strong,medium and weak.Then we used the features of passwords generated by term frequency-inverse document frequency to train and test Hybritus.The experimental results show that the accuracy of passwords strength checking can be as high as 97.7%and over 94%even if it was trained with only ten thousand passwords.User study shows that Hybritus is usable as well as secure.展开更多
It is intuitive that allowing a deeper search into a game tree will result in a superior player to one that is restricted in the depth of the search that it is allowed to make. Of course, searching deeper into the tre...It is intuitive that allowing a deeper search into a game tree will result in a superior player to one that is restricted in the depth of the search that it is allowed to make. Of course, searching deeper into the tree comes at increased computational cost and this is one of the trade-offs that has to be considered in developing a tree-based search algorithm. There has been some discussion as to whether the evaluation function, or the depth of the search, is the main contributory factor in the performance of an evolved checkers player. Some previous research has investigated this question （on Chess and Othello）, with differing conclusions. This suggests that different games have different emphases, with respect to these two factors. This paper provides the evidence for evolutionary checkers, and shows that the look-ahead depth （like Chess, perhaps unsurprisingly） is important. This is the first time that such an intensive study has been carried out for evolutionary checkers and given the evidence provided for Chess and Othello this is an important study that provides the evidence for another game. We arrived at our conclusion by evolving various checkers players at different ply depths and by playing them against one another, again at different ply depths. This was combined with the two-move ballot （enabling more games against the evolved players to take place） which provides strong evidence that depth of the look-ahead is important for evolved checkers players.展开更多
Quantum-dot cellular automata （QCA） is an emerging area of research in reversible computing. It can be used to design nanoscale circuits. In nanocommunication, the detection and correction of errors in a received me...Quantum-dot cellular automata （QCA） is an emerging area of research in reversible computing. It can be used to design nanoscale circuits. In nanocommunication, the detection and correction of errors in a received message is a major factor. Besides, device density and power dissipation are the key issues in the nanocommunication architecture. For the first time, QCA-based designs of the reversible low-power odd parity generator and odd parity checker using the Feynman gate have been achieved in this study. Using the proposed parity generator and parity checker circuit, a nanocommunication architecture is pro- posed. The detection of errors in the received message during transmission is also explored. The proposed QCA Feynman gate outshines the existing ones in terms of area, cell count, and delay. The quantum costs of the proposed conventional reversible circuits and their QCA layouts are calculated and compared, which establishes that the proposed QCA circuits have very low quantum cost compared to conventional designs. The energy dissipation by the layouts is estimated, which ensures the possibility ofQCA nano-device serving as an alternative platform for the implementation of reversible circuits. The stability of the proposed circuits under thermal randomness is analyzed, showing the operational efficiency of the circuits. The simulation results of the proposed design are tested with theoretical values, showing the accuracy of the circuits. The proposed circuits can be used to design more complex low-power nanoscale lossless cation architecture such as nano-transmitters and nano-receivers展开更多
Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the intern...Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the internetusing various languages. Urdu is one of them, and it is frequently used worldwide. Urdu-speaking people prefer tocommunicate on social media in Roman Urdu (RU), an English scripting style with the Urdu language dialect.Researchers have developed versatile lexical resources for features-rich comprehensive languages, but limitedlinguistic resources are available to facilitate the sentiment classification of Roman Urdu. This effort encompassesextracting subjective expressions in Roman Urdu and determining the implied opinionated text polarity. Theprimary sources of the dataset are Daraz (an e-commerce platform), Google Maps, and the manual effort. Thecontributions of this study include a Bilingual Roman Urdu Language Detector (BRULD) and a Roman UrduSpelling Checker (RUSC). These integrated modules accept the user input, detect the text language, correct thespellings, categorize the sentiments, and return the input sentence’s orientation with a sentiment intensity score.The developed system gains strength with each input experience gradually. The results show that the languagedetector gives an accuracy of 97.1% on a close domain dataset, with an overall sentiment classification accuracy of94.3%.展开更多
文摘The aim of this work was the behavior analysis when a spell checker was integrated as an extra pre-process during the first stage of the test mining. Different models were analyzed, choosing the most complete one considering the pre-processes as the initial part of the text mining process. Algorithms for the Spanish language were developed and adapted, as well as for the methodology testing through the analysis of 2363 words. A capable notation for removing special and unwanted characters was created. Execution times of each algorithm were analyzed to test the efficiency of the text mining pre-process with and without orthographic revision. The total time was shorter with the spell-checker than without it. The key difference of this work among the existing related studies is the first time that the spell checker is used in the text mining preprocesses.
文摘During long-term use,the clay checker bricks for regenerators of coke ovens on gas side react with the impurities containing Fe and K20,causing foaming,softening and deformation,which is not only related with the impurity content and properties of the clay checker bricks,but also related with the type and the composition of the dust in the gas.After long term use,the clay checker bricks of coke ovens on air side have relative lower impurities containing Fe and K20.The inferior clay checker bricks,with high impurity content and high porosity,are easy to pulverize and deteriorate due to the oxidationreduction reaction with the iron oxide and the gas.The gas quality shall be concerned for long service life of the coke oven regenerators.
基金supported in part by National Key R&D Program of China(2017YFC0820100.2017YFB0802805)in part by the National Natural Science Foundation of China(Grant No.U1736114).
文摘Password authentication is vulnerable to dictionary attacks.Password strength measurement helps users to choose hard-to-guess passwords and enhance the security of systems based on password authentication.Although there are many password strength metrics and tools,none of them produces an objective measurement with inconsistent policies and different dictionaries.In this work,we analyzed the password policies and checkers of top 100 popular websites that are selected from Alexa rankings.The checkers are inconsistent and thus they may label the same password as different strength labels,because each checker is sensitive to its configuration,e.g.,the algorithm used and the training data.Attackers are empowered to exploit the above vulnerabilities to crack the protected systems more easily.As such,single metrics or local training data are not enough to build a robust and secure password checker.Based on these observations,we proposed Hybritus that integrates different websites'strategies and views into a global and robust model of the attackers with multiple layer perceptron(MLP)neural networks.Our data set is comprised of more than 3.3 million passwords taken from the leaked,transformed and randomly generated dictionaries.The data set were sent to 10 website checkers to get the feedbacks on the strength of passwords labeled as strong,medium and weak.Then we used the features of passwords generated by term frequency-inverse document frequency to train and test Hybritus.The experimental results show that the accuracy of passwords strength checking can be as high as 97.7%and over 94%even if it was trained with only ten thousand passwords.User study shows that Hybritus is usable as well as secure.
文摘It is intuitive that allowing a deeper search into a game tree will result in a superior player to one that is restricted in the depth of the search that it is allowed to make. Of course, searching deeper into the tree comes at increased computational cost and this is one of the trade-offs that has to be considered in developing a tree-based search algorithm. There has been some discussion as to whether the evaluation function, or the depth of the search, is the main contributory factor in the performance of an evolved checkers player. Some previous research has investigated this question （on Chess and Othello）, with differing conclusions. This suggests that different games have different emphases, with respect to these two factors. This paper provides the evidence for evolutionary checkers, and shows that the look-ahead depth （like Chess, perhaps unsurprisingly） is important. This is the first time that such an intensive study has been carried out for evolutionary checkers and given the evidence provided for Chess and Othello this is an important study that provides the evidence for another game. We arrived at our conclusion by evolving various checkers players at different ply depths and by playing them against one another, again at different ply depths. This was combined with the two-move ballot （enabling more games against the evolved players to take place） which provides strong evidence that depth of the look-ahead is important for evolved checkers players.
基金Project supported by the University Grants Commission of India(No.41-631/2012(S.R.))
文摘Quantum-dot cellular automata （QCA） is an emerging area of research in reversible computing. It can be used to design nanoscale circuits. In nanocommunication, the detection and correction of errors in a received message is a major factor. Besides, device density and power dissipation are the key issues in the nanocommunication architecture. For the first time, QCA-based designs of the reversible low-power odd parity generator and odd parity checker using the Feynman gate have been achieved in this study. Using the proposed parity generator and parity checker circuit, a nanocommunication architecture is pro- posed. The detection of errors in the received message during transmission is also explored. The proposed QCA Feynman gate outshines the existing ones in terms of area, cell count, and delay. The quantum costs of the proposed conventional reversible circuits and their QCA layouts are calculated and compared, which establishes that the proposed QCA circuits have very low quantum cost compared to conventional designs. The energy dissipation by the layouts is estimated, which ensures the possibility ofQCA nano-device serving as an alternative platform for the implementation of reversible circuits. The stability of the proposed circuits under thermal randomness is analyzed, showing the operational efficiency of the circuits. The simulation results of the proposed design are tested with theoretical values, showing the accuracy of the circuits. The proposed circuits can be used to design more complex low-power nanoscale lossless cation architecture such as nano-transmitters and nano-receivers
文摘Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the internetusing various languages. Urdu is one of them, and it is frequently used worldwide. Urdu-speaking people prefer tocommunicate on social media in Roman Urdu (RU), an English scripting style with the Urdu language dialect.Researchers have developed versatile lexical resources for features-rich comprehensive languages, but limitedlinguistic resources are available to facilitate the sentiment classification of Roman Urdu. This effort encompassesextracting subjective expressions in Roman Urdu and determining the implied opinionated text polarity. Theprimary sources of the dataset are Daraz (an e-commerce platform), Google Maps, and the manual effort. Thecontributions of this study include a Bilingual Roman Urdu Language Detector (BRULD) and a Roman UrduSpelling Checker (RUSC). These integrated modules accept the user input, detect the text language, correct thespellings, categorize the sentiments, and return the input sentence’s orientation with a sentiment intensity score.The developed system gains strength with each input experience gradually. The results show that the languagedetector gives an accuracy of 97.1% on a close domain dataset, with an overall sentiment classification accuracy of94.3%.
