In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the trainin...In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.展开更多
It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map...It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.展开更多
A process-oriented knowledge-sharing platform is studied to improve knowledge sharing and project management of chemical engineering design enterprises. First, problems and characteristics of knowledge sharing in mult...A process-oriented knowledge-sharing platform is studied to improve knowledge sharing and project management of chemical engineering design enterprises. First, problems and characteristics of knowledge sharing in multi-projects of chemical engineering design are analyzed. Then based on theories of project management, process management, and knowledge management, a process-oriented knowledge-sharing platform is proposed. The platform has three characteristics: knowledge is divided into professional knowledge and project management knowledge; knowledge sharing is integrated with the project process, which makes knowledge sharing a necessary part of the project process and ensures the quantity of knowledge shared; the platform provides quantitative measurements of incentive mechanisms for knowledge providers and users which ensures the quality of knowledge shared. This knowledge-sharing platform uses two knowledge management tools, a knowledge map and a knowledge base, to support the platform.展开更多
Cyber Threat Intelligence(CTI)has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks.Th...Cyber Threat Intelligence(CTI)has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks.The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution.While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations,there exists a great challenge ineffective processing of large count of different Indicators of Threat(IoT)which appear regularly,and that can be solved only through a collaborative approach.Collaborative approach and intelligence sharing have become the mandatory element in the entire world of processing the threats.In order to covet the complete needs of having a definite standard of information exchange,various initiatives have been taken in means of threat information sharing platforms like MISP and formats such as SITX.This paper proposes a scoring model to address information decay,which is shared within TISP.The scoring model is implemented,taking the use case of detecting the Threat Indicators in a phishing data network.The proposed method calculates the rate of decay of an attribute through which the early entries are removed.展开更多
The paper at hand explores whether short-term rentals(STRs),operated through sharing platforms,can provide employment opportunities to young people that are Not in Employment,Education and Training(NEETs)and whether s...The paper at hand explores whether short-term rentals(STRs),operated through sharing platforms,can provide employment opportunities to young people that are Not in Employment,Education and Training(NEETs)and whether such opportunities can comprise a realistic and viable solution to their unemployment.The focus is on low-skilled native women and migrants between 25-29 that live in Spain,Italy,Greece,and Cyprus.Methodologically,the research is based on the analysis of questionnaires conducted with both NEETs and owners or managers of STRs.Our analysis reveals that only firms that own or manage a large number of properties are in position to offer solid employment opportunities.Owners with a limited number of properties are not in position to offer sustainable long-term employment,for two main reasons.First,the generated income is not significant enough to justify employing an individual through a full-time waged-contract or even on a part-time basis;Second,tasks that could potentially lead to employability of NEETs are either low skill positions therefore are outsourced to cheap service providers or require professionals with appropriate technical skills and certifications.In this context,the paper also discusses ways these obstacles to be surpassed.展开更多
An obviously challenging problem in named entity recognition is the construction of the kind data set of entities.Although some research has been conducted on entity database construction,the majority of them are dire...An obviously challenging problem in named entity recognition is the construction of the kind data set of entities.Although some research has been conducted on entity database construction,the majority of them are directed at Wikipedia or the minority at structured entities such as people,locations and organizational nouns in the news.This paper focuses on the identification of scientific entities in carbonate platforms in English literature,using the example of carbonate platforms in sedimentology.Firstly,based on the fact that the reasons for writing literature in key disciplines are likely to be provided by multidisciplinary experts,this paper designs a literature content extraction method that allows dealing with complex text structures.Secondly,based on the literature extraction content,we formalize the entity extraction task(lexicon and lexical-based entity extraction)for entity extraction.Furthermore,for testing the accuracy of entity extraction,three currently popular recognition methods are chosen to perform entity detection in this paper.Experiments show that the entity data set provided by the lexicon and lexical-based entity extraction method is of significant assistance for the named entity recognition task.This study presents a pilot study of entity extraction,which involves the use of a complex structure and specialized literature on carbonate platforms in English.展开更多
With so many potentially interconnected electronic devices in today’s homes, manufacturers have to think of theirs as only one of the components involved in a general user experience, and not as an isolated device. U...With so many potentially interconnected electronic devices in today’s homes, manufacturers have to think of theirs as only one of the components involved in a general user experience, and not as an isolated device. Users are likely to be using several devices at the same time, either actively through immediate interaction, or passively by expecting devices to give them notifications when necessary, for example. Thus, having cross-devices functionalities is often necessary for a product to be really adapted to its usage situation. Moreover, just as we install software on computers, smartphones and tablets for additional functionalities to use their own hardware, it would be logical to install cross-devices software to use the combined hardware of several home devices for a better user experience. However, even though a number of technologies can be used to transmit data or commands between devices, UPnP being a widespread example, it is not possible to access the behavior of remote devices and add functionalities to them this way. Thus, when manufacturers design their products, there is no way for them to make full use of the other appliances at the user’s home without developing and deploying specific software on each of them. In order to address this issue, this paper discusses a platform for generic development and on-the-fly deployment of applications on home devices. This system aims at letting device vendors deploy innovative features across devices in a home network, without requiring prior knowledge or control over devices already present in the user’s environment. For this platform to be fit for consumer devices, it is designed to be cost-effective, use recent and widespread technologies, and be fast to implement and work with.展开更多
基金National Key Research and Development Program of China(2021ZD0113704).
文摘In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.
文摘It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.
基金The National Natural Science Foundation of China (No.70501030,70621001)Natural Science Foundation of Beijing (No.9073020)
文摘A process-oriented knowledge-sharing platform is studied to improve knowledge sharing and project management of chemical engineering design enterprises. First, problems and characteristics of knowledge sharing in multi-projects of chemical engineering design are analyzed. Then based on theories of project management, process management, and knowledge management, a process-oriented knowledge-sharing platform is proposed. The platform has three characteristics: knowledge is divided into professional knowledge and project management knowledge; knowledge sharing is integrated with the project process, which makes knowledge sharing a necessary part of the project process and ensures the quantity of knowledge shared; the platform provides quantitative measurements of incentive mechanisms for knowledge providers and users which ensures the quality of knowledge shared. This knowledge-sharing platform uses two knowledge management tools, a knowledge map and a knowledge base, to support the platform.
基金The author extends their appreciation to the Deanship of Scientific research at Majmaah University for the funding this work under Project No.1439-48.
文摘Cyber Threat Intelligence(CTI)has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks.The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution.While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations,there exists a great challenge ineffective processing of large count of different Indicators of Threat(IoT)which appear regularly,and that can be solved only through a collaborative approach.Collaborative approach and intelligence sharing have become the mandatory element in the entire world of processing the threats.In order to covet the complete needs of having a definite standard of information exchange,various initiatives have been taken in means of threat information sharing platforms like MISP and formats such as SITX.This paper proposes a scoring model to address information decay,which is shared within TISP.The scoring model is implemented,taking the use case of detecting the Threat Indicators in a phishing data network.The proposed method calculates the rate of decay of an attribute through which the early entries are removed.
文摘The paper at hand explores whether short-term rentals(STRs),operated through sharing platforms,can provide employment opportunities to young people that are Not in Employment,Education and Training(NEETs)and whether such opportunities can comprise a realistic and viable solution to their unemployment.The focus is on low-skilled native women and migrants between 25-29 that live in Spain,Italy,Greece,and Cyprus.Methodologically,the research is based on the analysis of questionnaires conducted with both NEETs and owners or managers of STRs.Our analysis reveals that only firms that own or manage a large number of properties are in position to offer solid employment opportunities.Owners with a limited number of properties are not in position to offer sustainable long-term employment,for two main reasons.First,the generated income is not significant enough to justify employing an individual through a full-time waged-contract or even on a part-time basis;Second,tasks that could potentially lead to employability of NEETs are either low skill positions therefore are outsourced to cheap service providers or require professionals with appropriate technical skills and certifications.In this context,the paper also discusses ways these obstacles to be surpassed.
基金supported by the National Natural Science Foundation of China under Grant No.42050102the National Science Foundation of China(Grant No.62001236)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.20KJA520003).
文摘An obviously challenging problem in named entity recognition is the construction of the kind data set of entities.Although some research has been conducted on entity database construction,the majority of them are directed at Wikipedia or the minority at structured entities such as people,locations and organizational nouns in the news.This paper focuses on the identification of scientific entities in carbonate platforms in English literature,using the example of carbonate platforms in sedimentology.Firstly,based on the fact that the reasons for writing literature in key disciplines are likely to be provided by multidisciplinary experts,this paper designs a literature content extraction method that allows dealing with complex text structures.Secondly,based on the literature extraction content,we formalize the entity extraction task(lexicon and lexical-based entity extraction)for entity extraction.Furthermore,for testing the accuracy of entity extraction,three currently popular recognition methods are chosen to perform entity detection in this paper.Experiments show that the entity data set provided by the lexicon and lexical-based entity extraction method is of significant assistance for the named entity recognition task.This study presents a pilot study of entity extraction,which involves the use of a complex structure and specialized literature on carbonate platforms in English.
文摘With so many potentially interconnected electronic devices in today’s homes, manufacturers have to think of theirs as only one of the components involved in a general user experience, and not as an isolated device. Users are likely to be using several devices at the same time, either actively through immediate interaction, or passively by expecting devices to give them notifications when necessary, for example. Thus, having cross-devices functionalities is often necessary for a product to be really adapted to its usage situation. Moreover, just as we install software on computers, smartphones and tablets for additional functionalities to use their own hardware, it would be logical to install cross-devices software to use the combined hardware of several home devices for a better user experience. However, even though a number of technologies can be used to transmit data or commands between devices, UPnP being a widespread example, it is not possible to access the behavior of remote devices and add functionalities to them this way. Thus, when manufacturers design their products, there is no way for them to make full use of the other appliances at the user’s home without developing and deploying specific software on each of them. In order to address this issue, this paper discusses a platform for generic development and on-the-fly deployment of applications on home devices. This system aims at letting device vendors deploy innovative features across devices in a home network, without requiring prior knowledge or control over devices already present in the user’s environment. For this platform to be fit for consumer devices, it is designed to be cost-effective, use recent and widespread technologies, and be fast to implement and work with.
