The development of web applications and the Internet causes the movement of information systems to use them as a basis . Security is needed to protect the contents of web applications that are sensitive and provide a safe process of sending data , therefore application security must be applied to all infrastructure that supports web applications , including the web application itself . Most organizations today have some kind of web application security program or try to build/ improve . The master thesis discusses the issue about creation of web applications focused on personal and wage information systems . The theoretical part of this thesis compares options and technologies for development of web applications and performs selection of technology for the practical part . Further the thesis offers view of actual state of web interface about existing personal and wage systems and analyses this state . Personal information is shared over the internet through web-based applications which we use for many useful purposes like applying for passports , online ticket booking , online testing sites , social networking sites , etc . To ensure that the web-based applications offer full productivity and good security of the users ’ information it is important that the development procedure of these applications be redefined keeping things like feasibility , security aspects , and problems that are likely to be faced during future maintenance in mind . We are proposing a novel and scientific technique for designing ideal web-based applications . XML is nowadays considered the standard meta-language for document markup and data representation . XML is widely employed in Web-related applications as well as in database applications , and there is also a growing interest for it by the literary community to develop tools for supporting document-oriented retrieval operations . The purpose of this article is to show the basic new requirements of this kind of applications and to present the main features of a typed query language , called Tequyla-TX , designed to support them . Multi-aspect data appear frequently in web-related applications . For example , product reviews are quadruplets of the form ( user , product , keyword , timestamp ) , and search-engine logs are quadruplets of the form ( user , keyword , location , timestamp ) . K-nearest neighbors ( KNN ) is a crucial tool for many applications , e.g. recommender systems , image classification and web-related applications . However , KNN is a resource greedy operation particularly for large datasets . Therefore , this requires software security and reliability . Therefore , this study aims web software applications , whereas the threats and vulnerabilities , how to be mentioned steps might be taken Web software applications have become complex , sophisticated programs that are based on novel computing technologies . Although powerful , these technologies bring new challenges to developers and testers . However , these algorithms are very time-consuming . As the course of research goes more and more into the development of web software applications , these time-consuming tasks are not desirable . In this work , we propose a novel approach to the keypoints detection task treating the problem in part as image segmentation . Analysis of massive data collected by businesses can support intelligence-gathering efforts about their competition , product , or market . Intelligent tools based on rules derived from web mining can also play an important role in personalization related to site content and presentation . Recently , there has been considerable interest on how to integrate and mine such data ( Mulvenna , Anand , & Buchner , 2000 ; Brachman et al. , 1996 ) . A Path to New Possibilities of Personalization . Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user . However , there are still some security issues with SE personalization , management , ownership and architecture that can be exploitable by attackers and delay the adaption of NFC within the society . In this paper we discuss the major proposed models for SE management and personalization and suggest other areas of technology which can be used in combination with NFC to make SE management process easier and clearer . This study describes the initial stages in the development of a Technology Profile Inventory ( TPI ) and its potential use in a variety of contexts , including dynamic personalization . The initial version of the TPI was constructed based on the responses of 318 participants . A wide coverage and non-specific-domain classification of topics and a personal set of keywords allow the user to define his preferences about content . The application of implicit feedback allows a proper and dynamic personalization . Another topic that have been addressed in the thesis is the evaluation of systems offering to send users a selection of the daily news by electronic mail . The identification are predicted from log , forum , and score test . In this paper , we propose a dynamic personalization in e-learning process based on triple-factor architecture . The architecture consists of five main layers : learning strategy layer , learning layer , activity layer , identification layer and personalization layer . Here we discuss how gamification can be used to construct a user profile that predicts the susceptibility of the user to different social influence approaches . We describe the design concept and the experimental evaluation of an avatar creator application which collects data on susceptibility of users to Cialdini 's principles of influence to enable personalization of persuasion . Such a view is called a story . Working out the stories that best help users beneficially use Web information systems is the task of information space personalization . This paper analyses a Web information system . Bringing Together Users and Artificial Intelligence to Create Public Value . User interactions are key components by which AI and algorithmic processing shape personalization . Algorithms require user interactions to function . We begin the book by introducing the reader to the context of industrial research as well as a set of common themes or guidelines to consider in conducting HCI research in practice . Then case study examples of HCI approaches to the design and evaluation of usable solutions for people are presented and discussed in three domain areas : - item Conversational speech technologies , - item Personalization in eCommerce , and - item Security and privacy policy management technologies In each of the case studies , the authors illustrate and discuss examples of HCI approaches to design and evaluation that worked well and those that did not . They discuss what was learned over time about different HCI methods in practice , and changes that were made to the HCI tools used over time . There are a device ( 10 ) and a method for the personalization of contactless data carriers , in particular contactless IC cards will be described . The device ( 10 ) comprises at least two spatially arranged adjacent reading devices ( 12a-d ) which are each adapted to transmit data without contact to a contactless data carrier . Sharing heterogeneous data among distributed environments in a user-centric way represents today the main challenge for personalization . In recent years several techniques have been proposed to support user modeling for multi-application ( cross-system ) personalization , following two main approaches . A first group of researchers base their solutions on the use of a top-down approach , involving standard ontologies or unified user models ( standardizationbased user modeling ) ; in a second research direction , a bottom-up approach based on mappings between different user model representations is the envisaged solution ( mediation-based user modeling ) . The invention relates to a chip card comprising a card body in the ISO 7810 format , and a microelectronic module detachably incorporated in the card body , said microelectronic module forming a card ( 21 ) to the micro SD format comprising a microelectronic chip ( 22 ) whose output terminals are connected to contacts ( 12 ) of a terminal block to the micro SD format , characterized in that it further comprises a contact terminal ( 26 ) to ISO 7816 - 2 connected to the chip format microelectronics ( 22 ) of the card ( 21 ) to the micro SD format , and in that said card ( 21 ) to the micro SD format comprises an antenna ( 23 ) also connected to the microelectronic die ( 22 ) , so that the microelectronic die ( 22 ) can communicate with an external reader , in particular for purposes of electrical personalization , or by the contacts ( 26 ) of the terminal block to the ISO 7816 - 2 format or by electromagnetic coupling using the antenna ( 23 ) of the micro card SD ( 21 ) . These techniques enable us to explore impactful solutions with deep learning algorithms on cheaper affordable wearable IoTs to help in the well beings of users . Specifically , better personalization of health related solutions can help to care for the health and enhance users ' experience with the superior performance of deep learning on smart health devices . section : I. INTRODUCTION Learning and predicting user response now plays a crucial role in many personalization tasks in information retrieval ( IR ) , such as recommender systems , web search and online advertising . The goal of user response prediction is to estimate the probability that the user will provide a predefined positive response , e.g. clicks , purchases etc . , in a given context This feature is described in the following . subsubsection : On - device personalization Using contextual information in ASR is a promising approach to improving the recognition results by biasing the language model towards a user - specific vocabulary . Classic telecommunication methods and Internet services are converging . For this reason Telecommunication companies are looking for new ways to include their services in Web 2.0 applications . A strong candidate for the telecommunication infrastructure of the future is the IP Multimedia Subsystem ( IMS ) , an all IP telecommunication core network . Topical search engine is an extension of general-purpose search engines , which has become an important research subject in Web information retrieval recently . Focusing on the development of Web 2.0 applications , a result ranking approach is proposed on the basis of LDA model to rank the search results from Web forums . Compared with traditional methods , this approach takes up less storage space , and can more quickly and accurately respond to user inquiries . In this paper we investigate how Web 2.0-based applications could be used to support and improve creative problem solving in distributed teams . Looking at the theory of creative problem solving and creativity techniques , we identify some general factors for successfully supporting the creative process . Internet technology has gone a very far in term of advances and improvements , flash players , video components and other multimedia support are incorporated into the recent web pages . Also , services provided such as : Clouding , storage system , online banking and e-commerce are very common and used on daily basis , still there are many missing components regarding more human interaction with the web page , rather than just seeing and clicking . In this paper , we implemented a system that ’s capable of identifying mouse location onto a web page and capturing that component ( mostly images ) extracting its meta-data and Exchangeable Image File Format ( EXIF ) information , this information is processed further by a basic natural language processing subsystem providing it with text parsing results after tokenizing the string , this is to come with a single conclusion : What dose this image represents . Important issues in the system of online banking service are reviewed , a comprehensive methodology for the assessment of operational risks is discussed . Electronic banking gradually enters into everyday life and is an integral part of the services that provide financial institutions . The invention provides an application system tool set based on a online banking service platform , comprising a project management tool set , a development management tool set , a test tool set and a running and maintaining tool set , wherein the development and management tool set comprises a resource information management module , a configuration information management module , a program development tool , an online banking product development tool and a subsidiary bank product supporting tool ; and the running and maintaining tool set comprises a system running monitoring tool , a service running monitoring tool and a statistics and inquiring tool . Compared with the prior art , the application system tool set can be used for managing the whole process of the online banking service from development to the running , unifying the standards of the application system and improving the efficiency for the development and the system implementation . The essence and challenge of modern computer security is to isolate or contain data and applications in a variety of ways , while still allowing sharing where desirable . If Alice and Bob share a computer , Alice should not be able to access Bob ’s passwords or other data ; Alice ’s web browser should not be able to be tricked into sending email , and viewing a social networking web page in that browser should not allow that page to interact with her online banking service . The aim of this work is to explore techniques for such isolation and how they can be used usefully on standard PCs . However , under strict liability banks does not provide adequate client security measures . Countries like Korea are imposing burden of proof on online banking transactions to ensure that general public take more care and reduce burden of accident prevention on banks . However , under burden of proof service providers are developing and providing excessive number of client security measures for their users . The same has been incorporated in the form of a browser plug-in ( safari ) called Pixastic . Pixastic is tested in an online banking scenario and it is compared with other well-known anti-phishing plug-in methods in practice . Various parameters such as robustness , usability and its behavior on various attacks have been analysed . The same has been incorporated in the form of a browser plug-in ( safari ) called Pixastic . Pixastic is tested in an online banking scenario and it is compared with other well-known anti-phishing plug-in methods in practice . Various parameters such as robustness , usability and its behavior on various attacks have been analysed . The proposed method addresses one of the limitations in Transaction Authentication Number method . The proposed method was implemented and tested in online banking scenario and compared with other well known anti-phishing methods against parameters such as reliability , applicability , transparency , cost , training etc . This paper presents a location based approach for user authentication in online banking environment . The physical location of the user is identified using two different methods . What You Sign : Input Integrity in an Online Banking Environment . One problem with most currently used transaction authentication methods is that they depend on the customer 's computer for integrity of the information flow between customer and bank . Current authentication practices suffer from many loopholes . To access an online banking facility , a customer with Internet access would need to register with the institution for the service , and set up some password for authentication process . Basically there are two types of password inputs allowed by banking websites these days . A system for biometric authentication in online banking Online banking is under attack by cyber criminals using methods such as phishing , spoofing , and man-in-the-middle attacks . The system proposes using a biometrically secured USB stick containing the client 's fingerprint , a unique key S , and a limited web browser and other information , which is provided to the client by the banking institution . Extending earlier work , we conducted an online user study to investigate users ’ understanding of online behavioral advertising ( OBA ) and tracking prevention tools ( TPT ) , and whether users ’ willingness to share data with advertising companies varied depending on the type of first party website . We presented results of 368 participant responses across four types of websites an online banking site , an online shopping site , a search engine and a social networking site . In general , we identified that participants had positive responses for OBA and that they demonstrated clear preferences for which classes of information they would like to disclose online . Technology is advancing at a rapid pace and with this advancement making our systems secure from threats and attacks becomes an issue of major importance . The authors of this paper are implementing a security system for online internet banking using a QR ( quick response ) based approach to authenticate users and also to eliminate the threat of phishing . The user after requesting an online transaction will scan the QR code from the computer screen using his/her mobile phone whose IMEI number is registered with the bank to generate an OTP ( one time password ) on his/her phone for the transaction . Creation of dynamic interactive and meaningful content is one of the main problems that currently limit wider use of 3D Web applications . In this paper a novel approach , called Flex-VR , is proposed , which enables configuring rich 3D Web applications from independent components , allowing this task to be performed by domain experts without expertise in programming or 3D content design . In the SLR we extracted problems and solutions SLR authors reported during their search processes . In the survey we asked respondents to describe the problems they faced during SLR search and to specify any requirements they would like to see as part of an SLR search tool . We also asked survey respondents to describe any tools they use to support SLR search , along with the strengths and limitations of those tools . ResultsBased on analysis of 84 studies from the literature and a qualitative analysis of 131 responses from researchers , we identified a set of functional requirements that authors , researchers , and tool builders can use as a reference . The initial solutions of pharmacokinetic parameters are generated randomly by the PKAIN algorithm in a given solution space . Memory cells to be used in the search of global optimal parameters are generated . The optimal mechanism of the algorithm is based on artificial immune network principles and simplex mutation . Face annotation related to face detection and recognition Recently research interests in mining weakly-labeled facial images on the internet to resolve research challenge in computer vision and image understanding . This paper provides various techniques or methods that are used to annotating facial images Keywords— Face annotation , web facial images , search base face annotation , content-based image retrieval , weak label , Search based facial annotation . Solving the discovery problem by creating a parallel discovery data store infrastructure has multiple benefits as it allows such to channel the actual search queries against the raw data set in much more funneled manner instead of being widespread across the entire data sets . Such focused search queries and data separation are far more performant andrequires less compute and memory footprint . This work presents a high-speed , low-resource speech recognition system using custom arithmetic units , where all system variables are represented by integer indices and all arithmetic operations are replaced by hardware-based table lookups . To this end , several reordering and rescaling techniques , including two accumulation structures for Gaussian evaluation and a novel method for the normalization of Viterbi search scores , are proposed to ensure low entropy for all variables . Furthermore , a discriminatively inspired distortion measure is investigated for scalar quantization of forward probabilities to maximize the recognition rate . We explored the performance of a navigation aid and two types of LOD cut-off functions in the forest geo-visualization . We used a hunting game search task to test the effect of our user interface features . According to the paired t-test results , the navigation aid significantly increasing participants ' performance , while the exponential cut-off and linear cut-off functions showed no significant difference from participants ' perspective . The use of brokerage systems constitutes an interesting solution to speed up the information delivery to the users . Moreover , brokers can use mobile agents to efficiently and easily perform the search and retrieval of commercial information in the Internet . Although the mobile agent technology is a very suitable choice for the m-commerce scenario , there are security issues that hinder its use . There are several reasons for developing a context-aware search interface . In so far , search engines considered the technology perspective – suggesting structural , statistical , syntactical and semantic measures . The two significant aspect of pathfinding are related to search algorithm and search space . This paper mainly focuses on the search space generation aspect . Search space could be generated manually or automatically and the size of the search space has significant effects on the computational time and memory usage . We plot the obtained accuracy in detecting the left and right digits for all baselines . The grid - search results suggest that the tasks compete for model capacity . Our method is the only one that finds a solution that is as good as training a dedicated model for each task . subsection : Fraternal dropout and expectation linear dropout comparison We perform extensive grid search for the baseline model from Subsection [ reference ] ( an AWD - LSTM 3 - layer architecture ) trained with either fraternal dropout or expectation linear dropout regularizations , to further contrast the performance of these two methods . The experiments are run without fine - tuning on the PTB dataset . The surface plot in 3 shows that the grid peaks with more moderate settings around 350 LSTM cells which might lead to a higher accuracy . For all of the network sizes in the grid search , we still observed during training that the accuracy reach a high value and degrades with more iterations for the character and word model . This suggests that future variants of this model might benefit from higher regularization . However , it is different from real - world scenarios where the annotations of pedestrian bounding boxes are unavailable and the target person needs to be searched from a gallery of whole scene images . To close the gap , we propose a new deep learning framework for person search . Instead of breaking it down into two separate tasks — pedestrian detection and person re - identification , we jointly handle both aspects in a single convolutional neural network . Gallery size . Person search could be more challenging as the gallery size increases . We evaluate several methods under different test gallery sizes from to full set of images , following the protocols defined in Section [ reference ] . Asterix , Beam Rider , Freeway , Seaquest and Space Invaders . The parameter search involved finding suitable values for the parameters to the SARSA ( ) algorithm , i.e. the learning rate , exploration rate , discount factor , and the decay rate . We also searched the space of feature generation parameters , for example the abstraction level for the BASS agent . Actions that result in the same state are treated as duplicates and only one of the actions is considered in the search tree . This reduces the branching factor , thus allowing deeper search . At every step , we also reuse the part of our search tree corresponding to the selected action . The volume and speed of information exchange among the stakeholders rose with the increase of transport and cargo volume in seaports . Several ways of communication between stakeholders exist , such as electronic exchange systems , shipping web portals and eCommerce . Electronic Transportation Management Systems ( e-TMS ) tackle the issue of non-uniform format standards and the means of messages exchange which can be solved by the adoption of Mediation Service Software and Electronic Transaction Platforms .
The development of web applications and the Internet causes the movement of information systems to use them as a basis . Security is needed to protect the contents of web applications that are sensitive and provide a safe process of sending data , therefore application security must be applied to all infrastructure that supports web applications , including the web application itself . Most organizations today have some kind of web application security program or try to build/ improve .
The master thesis discusses the issue about creation of web applications focused on personal and wage information systems . The theoretical part of this thesis compares options and technologies for development of web applications and performs selection of technology for the practical part . Further the thesis offers view of actual state of web interface about existing personal and wage systems and analyses this state .
Personal information is shared over the internet through web-based applications which we use for many useful purposes like applying for passports , online ticket booking , online testing sites , social networking sites , etc . To ensure that the web-based applications offer full productivity and good security of the users ’ information it is important that the development procedure of these applications be redefined keeping things like feasibility , security aspects , and problems that are likely to be faced during future maintenance in mind . We are proposing a novel and scientific technique for designing ideal web-based applications .
XML is nowadays considered the standard meta-language for document markup and data representation . XML is widely employed in Web-related applications as well as in database applications , and there is also a growing interest for it by the literary community to develop tools for supporting document-oriented retrieval operations . The purpose of this article is to show the basic new requirements of this kind of applications and to present the main features of a typed query language , called Tequyla-TX , designed to support them .
Multi-aspect data appear frequently in web-related applications . For example , product reviews are quadruplets of the form ( user , product , keyword , timestamp ) , and search-engine logs are quadruplets of the form ( user , keyword , location , timestamp ) .
K-nearest neighbors ( KNN ) is a crucial tool for many applications , e.g. recommender systems , image classification and web-related applications . However , KNN is a resource greedy operation particularly for large datasets .
Therefore , this requires software security and reliability . Therefore , this study aims web software applications , whereas the threats and vulnerabilities , how to be mentioned steps might be taken
Web software applications have become complex , sophisticated programs that are based on novel computing technologies . Although powerful , these technologies bring new challenges to developers and testers .
However , these algorithms are very time-consuming . As the course of research goes more and more into the development of web software applications , these time-consuming tasks are not desirable . In this work , we propose a novel approach to the keypoints detection task treating the problem in part as image segmentation .
Analysis of massive data collected by businesses can support intelligence-gathering efforts about their competition , product , or market . Intelligent tools based on rules derived from web mining can also play an important role in personalization related to site content and presentation . Recently , there has been considerable interest on how to integrate and mine such data ( Mulvenna , Anand , & Buchner , 2000 ; Brachman et al. , 1996 ) .
A Path to New Possibilities of Personalization . Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user .
However , there are still some security issues with SE personalization , management , ownership and architecture that can be exploitable by attackers and delay the adaption of NFC within the society . In this paper we discuss the major proposed models for SE management and personalization and suggest other areas of technology which can be used in combination with NFC to make SE management process easier and clearer .
This study describes the initial stages in the development of a Technology Profile Inventory ( TPI ) and its potential use in a variety of contexts , including dynamic personalization . The initial version of the TPI was constructed based on the responses of 318 participants .
A wide coverage and non-specific-domain classification of topics and a personal set of keywords allow the user to define his preferences about content . The application of implicit feedback allows a proper and dynamic personalization . Another topic that have been addressed in the thesis is the evaluation of systems offering to send users a selection of the daily news by electronic mail .
The identification are predicted from log , forum , and score test . In this paper , we propose a dynamic personalization in e-learning process based on triple-factor architecture . The architecture consists of five main layers : learning strategy layer , learning layer , activity layer , identification layer and personalization layer .
Here we discuss how gamification can be used to construct a user profile that predicts the susceptibility of the user to different social influence approaches . We describe the design concept and the experimental evaluation of an avatar creator application which collects data on susceptibility of users to Cialdini 's principles of influence to enable personalization of persuasion .
Such a view is called a story . Working out the stories that best help users beneficially use Web information systems is the task of information space personalization . This paper analyses a Web information system .
Bringing Together Users and Artificial Intelligence to Create Public Value . User interactions are key components by which AI and algorithmic processing shape personalization . Algorithms require user interactions to function .
We begin the book by introducing the reader to the context of industrial research as well as a set of common themes or guidelines to consider in conducting HCI research in practice . Then case study examples of HCI approaches to the design and evaluation of usable solutions for people are presented and discussed in three domain areas : - item Conversational speech technologies , - item Personalization in eCommerce , and - item Security and privacy policy management technologies In each of the case studies , the authors illustrate and discuss examples of HCI approaches to design and evaluation that worked well and those that did not . They discuss what was learned over time about different HCI methods in practice , and changes that were made to the HCI tools used over time .
There are a device ( 10 ) and a method for the personalization of contactless data carriers , in particular contactless IC cards will be described . The device ( 10 ) comprises at least two spatially arranged adjacent reading devices ( 12a-d ) which are each adapted to transmit data without contact to a contactless data carrier .
Sharing heterogeneous data among distributed environments in a user-centric way represents today the main challenge for personalization . In recent years several techniques have been proposed to support user modeling for multi-application ( cross-system ) personalization , following two main approaches . A first group of researchers base their solutions on the use of a top-down approach , involving standard ontologies or unified user models ( standardizationbased user modeling ) ; in a second research direction , a bottom-up approach based on mappings between different user model representations is the envisaged solution ( mediation-based user modeling ) .
The invention relates to a chip card comprising a card body in the ISO 7810 format , and a microelectronic module detachably incorporated in the card body , said microelectronic module forming a card ( 21 ) to the micro SD format comprising a microelectronic chip ( 22 ) whose output terminals are connected to contacts ( 12 ) of a terminal block to the micro SD format , characterized in that it further comprises a contact terminal ( 26 ) to ISO 7816 - 2 connected to the chip format microelectronics ( 22 ) of the card ( 21 ) to the micro SD format , and in that said card ( 21 ) to the micro SD format comprises an antenna ( 23 ) also connected to the microelectronic die ( 22 ) , so that the microelectronic die ( 22 ) can communicate with an external reader , in particular for purposes of electrical personalization , or by the contacts ( 26 ) of the terminal block to the ISO 7816 - 2 format or by electromagnetic coupling using the antenna ( 23 ) of the micro card SD ( 21 ) .
These techniques enable us to explore impactful solutions with deep learning algorithms on cheaper affordable wearable IoTs to help in the well beings of users . Specifically , better personalization of health related solutions can help to care for the health and enhance users ' experience with the superior performance of deep learning on smart health devices .
section : I. INTRODUCTION Learning and predicting user response now plays a crucial role in many personalization tasks in information retrieval ( IR ) , such as recommender systems , web search and online advertising . The goal of user response prediction is to estimate the probability that the user will provide a predefined positive response , e.g. clicks , purchases etc . , in a given context
This feature is described in the following . subsubsection : On - device personalization Using contextual information in ASR is a promising approach to improving the recognition results by biasing the language model towards a user - specific vocabulary .
Classic telecommunication methods and Internet services are converging . For this reason Telecommunication companies are looking for new ways to include their services in Web 2.0 applications . A strong candidate for the telecommunication infrastructure of the future is the IP Multimedia Subsystem ( IMS ) , an all IP telecommunication core network .
Topical search engine is an extension of general-purpose search engines , which has become an important research subject in Web information retrieval recently . Focusing on the development of Web 2.0 applications , a result ranking approach is proposed on the basis of LDA model to rank the search results from Web forums . Compared with traditional methods , this approach takes up less storage space , and can more quickly and accurately respond to user inquiries .
In this paper we investigate how Web 2.0-based applications could be used to support and improve creative problem solving in distributed teams . Looking at the theory of creative problem solving and creativity techniques , we identify some general factors for successfully supporting the creative process .
Internet technology has gone a very far in term of advances and improvements , flash players , video components and other multimedia support are incorporated into the recent web pages . Also , services provided such as : Clouding , storage system , online banking and e-commerce are very common and used on daily basis , still there are many missing components regarding more human interaction with the web page , rather than just seeing and clicking . In this paper , we implemented a system that ’s capable of identifying mouse location onto a web page and capturing that component ( mostly images ) extracting its meta-data and Exchangeable Image File Format ( EXIF ) information , this information is processed further by a basic natural language processing subsystem providing it with text parsing results after tokenizing the string , this is to come with a single conclusion : What dose this image represents .
Important issues in the system of online banking service are reviewed , a comprehensive methodology for the assessment of operational risks is discussed . Electronic banking gradually enters into everyday life and is an integral part of the services that provide financial institutions .
The invention provides an application system tool set based on a online banking service platform , comprising a project management tool set , a development management tool set , a test tool set and a running and maintaining tool set , wherein the development and management tool set comprises a resource information management module , a configuration information management module , a program development tool , an online banking product development tool and a subsidiary bank product supporting tool ; and the running and maintaining tool set comprises a system running monitoring tool , a service running monitoring tool and a statistics and inquiring tool . Compared with the prior art , the application system tool set can be used for managing the whole process of the online banking service from development to the running , unifying the standards of the application system and improving the efficiency for the development and the system implementation .
The essence and challenge of modern computer security is to isolate or contain data and applications in a variety of ways , while still allowing sharing where desirable . If Alice and Bob share a computer , Alice should not be able to access Bob ’s passwords or other data ; Alice ’s web browser should not be able to be tricked into sending email , and viewing a social networking web page in that browser should not allow that page to interact with her online banking service . The aim of this work is to explore techniques for such isolation and how they can be used usefully on standard PCs .
However , under strict liability banks does not provide adequate client security measures . Countries like Korea are imposing burden of proof on online banking transactions to ensure that general public take more care and reduce burden of accident prevention on banks . However , under burden of proof service providers are developing and providing excessive number of client security measures for their users .
The same has been incorporated in the form of a browser plug-in ( safari ) called Pixastic . Pixastic is tested in an online banking scenario and it is compared with other well-known anti-phishing plug-in methods in practice . Various parameters such as robustness , usability and its behavior on various attacks have been analysed .
The same has been incorporated in the form of a browser plug-in ( safari ) called Pixastic . Pixastic is tested in an online banking scenario and it is compared with other well-known anti-phishing plug-in methods in practice . Various parameters such as robustness , usability and its behavior on various attacks have been analysed .
The proposed method addresses one of the limitations in Transaction Authentication Number method . The proposed method was implemented and tested in online banking scenario and compared with other well known anti-phishing methods against parameters such as reliability , applicability , transparency , cost , training etc .
This paper presents a location based approach for user authentication in online banking environment . The physical location of the user is identified using two different methods .
What You Sign : Input Integrity in an Online Banking Environment . One problem with most currently used transaction authentication methods is that they depend on the customer 's computer for integrity of the information flow between customer and bank .
Current authentication practices suffer from many loopholes . To access an online banking facility , a customer with Internet access would need to register with the institution for the service , and set up some password for authentication process . Basically there are two types of password inputs allowed by banking websites these days .
A system for biometric authentication in online banking Online banking is under attack by cyber criminals using methods such as phishing , spoofing , and man-in-the-middle attacks . The system proposes using a biometrically secured USB stick containing the client 's fingerprint , a unique key S , and a limited web browser and other information , which is provided to the client by the banking institution .
Extending earlier work , we conducted an online user study to investigate users ’ understanding of online behavioral advertising ( OBA ) and tracking prevention tools ( TPT ) , and whether users ’ willingness to share data with advertising companies varied depending on the type of first party website . We presented results of 368 participant responses across four types of websites an online banking site , an online shopping site , a search engine and a social networking site . In general , we identified that participants had positive responses for OBA and that they demonstrated clear preferences for which classes of information they would like to disclose online .
Technology is advancing at a rapid pace and with this advancement making our systems secure from threats and attacks becomes an issue of major importance . The authors of this paper are implementing a security system for online internet banking using a QR ( quick response ) based approach to authenticate users and also to eliminate the threat of phishing . The user after requesting an online transaction will scan the QR code from the computer screen using his/her mobile phone whose IMEI number is registered with the bank to generate an OTP ( one time password ) on his/her phone for the transaction .
Creation of dynamic interactive and meaningful content is one of the main problems that currently limit wider use of 3D Web applications . In this paper a novel approach , called Flex-VR , is proposed , which enables configuring rich 3D Web applications from independent components , allowing this task to be performed by domain experts without expertise in programming or 3D content design .
In the SLR we extracted problems and solutions SLR authors reported during their search processes . In the survey we asked respondents to describe the problems they faced during SLR search and to specify any requirements they would like to see as part of an SLR search tool . We also asked survey respondents to describe any tools they use to support SLR search , along with the strengths and limitations of those tools . ResultsBased on analysis of 84 studies from the literature and a qualitative analysis of 131 responses from researchers , we identified a set of functional requirements that authors , researchers , and tool builders can use as a reference .
The initial solutions of pharmacokinetic parameters are generated randomly by the PKAIN algorithm in a given solution space . Memory cells to be used in the search of global optimal parameters are generated . The optimal mechanism of the algorithm is based on artificial immune network principles and simplex mutation .
Face annotation related to face detection and recognition Recently research interests in mining weakly-labeled facial images on the internet to resolve research challenge in computer vision and image understanding . This paper provides various techniques or methods that are used to annotating facial images Keywords— Face annotation , web facial images , search base face annotation , content-based image retrieval , weak label , Search based facial annotation .
Solving the discovery problem by creating a parallel discovery data store infrastructure has multiple benefits as it allows such to channel the actual search queries against the raw data set in much more funneled manner instead of being widespread across the entire data sets . Such focused search queries and data separation are far more performant andrequires less compute and memory footprint .
This work presents a high-speed , low-resource speech recognition system using custom arithmetic units , where all system variables are represented by integer indices and all arithmetic operations are replaced by hardware-based table lookups . To this end , several reordering and rescaling techniques , including two accumulation structures for Gaussian evaluation and a novel method for the normalization of Viterbi search scores , are proposed to ensure low entropy for all variables . Furthermore , a discriminatively inspired distortion measure is investigated for scalar quantization of forward probabilities to maximize the recognition rate .
We explored the performance of a navigation aid and two types of LOD cut-off functions in the forest geo-visualization . We used a hunting game search task to test the effect of our user interface features . According to the paired t-test results , the navigation aid significantly increasing participants ' performance , while the exponential cut-off and linear cut-off functions showed no significant difference from participants ' perspective .
The use of brokerage systems constitutes an interesting solution to speed up the information delivery to the users . Moreover , brokers can use mobile agents to efficiently and easily perform the search and retrieval of commercial information in the Internet . Although the mobile agent technology is a very suitable choice for the m-commerce scenario , there are security issues that hinder its use .
There are several reasons for developing a context-aware search interface . In so far , search engines considered the technology perspective – suggesting structural , statistical , syntactical and semantic measures .
The two significant aspect of pathfinding are related to search algorithm and search space . This paper mainly focuses on the search space generation aspect . Search space could be generated manually or automatically and the size of the search space has significant effects on the computational time and memory usage .
We plot the obtained accuracy in detecting the left and right digits for all baselines . The grid - search results suggest that the tasks compete for model capacity . Our method is the only one that finds a solution that is as good as training a dedicated model for each task .
subsection : Fraternal dropout and expectation linear dropout comparison We perform extensive grid search for the baseline model from Subsection [ reference ] ( an AWD - LSTM 3 - layer architecture ) trained with either fraternal dropout or expectation linear dropout regularizations , to further contrast the performance of these two methods . The experiments are run without fine - tuning on the PTB dataset .
The surface plot in 3 shows that the grid peaks with more moderate settings around 350 LSTM cells which might lead to a higher accuracy . For all of the network sizes in the grid search , we still observed during training that the accuracy reach a high value and degrades with more iterations for the character and word model . This suggests that future variants of this model might benefit from higher regularization .
However , it is different from real - world scenarios where the annotations of pedestrian bounding boxes are unavailable and the target person needs to be searched from a gallery of whole scene images . To close the gap , we propose a new deep learning framework for person search . Instead of breaking it down into two separate tasks — pedestrian detection and person re - identification , we jointly handle both aspects in a single convolutional neural network .
Gallery size . Person search could be more challenging as the gallery size increases . We evaluate several methods under different test gallery sizes from to full set of images , following the protocols defined in Section [ reference ] .
Asterix , Beam Rider , Freeway , Seaquest and Space Invaders . The parameter search involved finding suitable values for the parameters to the SARSA ( ) algorithm , i.e. the learning rate , exploration rate , discount factor , and the decay rate . We also searched the space of feature generation parameters , for example the abstraction level for the BASS agent .
Actions that result in the same state are treated as duplicates and only one of the actions is considered in the search tree . This reduces the branching factor , thus allowing deeper search . At every step , we also reuse the part of our search tree corresponding to the selected action .
The volume and speed of information exchange among the stakeholders rose with the increase of transport and cargo volume in seaports . Several ways of communication between stakeholders exist , such as electronic exchange systems , shipping web portals and eCommerce . Electronic Transportation Management Systems ( e-TMS ) tackle the issue of non-uniform format standards and the means of messages exchange which can be solved by the adoption of Mediation Service Software and Electronic Transaction Platforms .
Security Scanner For Web Applications Case Study: Learning Management System Rozšíření personálního a mzdového informačního systému organizace o webové rozhraní Web Based Applications and Their Testing Approach A typed text retrieval query language for XML documents Fast and memory-efficient algorithms for high-order Tucker decomposition The out-of-core KNN awakens: the light side of computation force on large datasets SOFTARE SECURTY OF WEB APPLICATION AND WEB ATTACKS Modeling and testing of dynamic aspects of Web applications A novel approach to keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes Performance Implication of Knowledge Discovery Techniques in Databases Semantic Reasoning: A Path to New Possibilities of Personalization Challenges of managing secure elements within the NFC ecosystem Profiling information technology users: en route to dynamic personalization Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services A dynamic personalization in e-learning process based on triple-factor architecture An Avatar Creator as a Tool for Constructing a Personalized Persuasive Profile Towards Systematic Personalization of Information Spaces It Takes Two to Tango: Bringing Together Users and Artificial Intelligence to Create Public Value Designing and Evaluating Usable Technology in Industrial Research: Three Case Studies Apparatus and method for personalization of contactless data carriers G-Profile: a Multi-application Personalization System Smart card has dual communication interface with Micro SD Card INCORPORATED Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications Product-Based Neural Networks for User Response Prediction Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces Introducing Widget-based IMS Client Applications A Retrieval Sorting Approach for Online Forums Based on Domain Topics Distributed Creative Problem Solving over the Web Smelling the web olfactory display for web objects Внутренний аудит и менеджмент операционных рисков системы дистанционного банковского обслуживания Application system tool set based on online banking service platform On improving cybersecurity through memory isolation using systems management mode Optimal Online Banking Security Configuration under Burden of Proof PIXASTIC: STEGANOGRAPHY BASEDANTI-PHISHING BROWSER PLUG-IN Pixastic: Steganography based Anti-Phihsing Browser Plug-in Anti-Phishing Technique using Automated Challenge Response method Real Time Online Banking Fraud Detection Using Location Information What You Enter Is What You Sign: Input Integrity in an Online Banking Environment Robust Virtual Keyboard for Online Banking Biometriese egtheidsbevestiging tydens intydse bankdienste : referaatopsomming User Perceptions of Sharing, Advertising, and Tracking Online Banking Security System Using OTP Encoded in QR-Code Flex-VR: Configurable 3D web applications Identification and prioritization of SLR search tool requirements: an SLR and a survey PKAIN: An artificial immune network for parameter optimization in pharmacokinetics A Survey on Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation Raw Cardinality Information Discovery for Big Datasets A high-speed, low-resource ASR back-end based on custom arithmetic A Web3D forest geo-visualization and user interface evaluation Secure brokerage mechanisms for mobile electronic commerce Context-aware Search Architecture Automatic search space generation with Hierarchical Adaptive Flood Filled for simulation and computer game in confined environment Multi-Task Learning as Multi-Objective Optimization Fraternal Dropout Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings Joint Detection and Identification Feature Learning for Person Search The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) The Role of Electronic Transportation Management Systems in Seaport Digitalization
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Advanced Topics in Database Research, Vol. 2 ESWC ICITST User Modeling PPT@PERSUASIVE DG.O HealthDL@MobiSys 2016 IEEE 16th International Conference on Data Mining (ICDM) ArXiv ICIW ICIS STAST SOUPS Web3D ICEIS (5) NeurIPS ICLR ACL 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) IJCAI Bled eConference
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