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This paper demonstrates the process of adapting publicly available repositories for the MOOS-IvP middleware to efficiently create and solve problems for collaborative marine autonomy. The problem introduced in this paper addresses a collaborative approach for autonomous environmental anomaly detection, bounding, and containment. An environmental anomaly may be an oil spill, radioactive contamination,...
Conversational agents are gaining a lot of attention from research labs and enterprises given the recent advances in AI and the huge amount of available human-to-human dialog texts (like movie transcriptions or conversations in social media). However, most of these dialog datasets do not contain any kind of annotation in terms of adequacy of the answers which makes difficult for the conversational...
Many web-based online learning systems focus more on textual and/or image based content delivery without including experiment systems, or if included they are usually operated under pre-defined conditions, such as fixed scenarios and pre-determined delivery orders. These limitations hinder personalized learning and collaboration between students and discourage student engagement. To circumvent these...
Creativity and imagination are the most interesting and peculiar of all properties of human consciousness that are not yet fully understandable for scientists. “Could creativity or imagination ever be defined?”, “Will humans lose their creativity in the rapid development of technology?” or “Could machines ever be creative and how this will effect on humanity?”. In this paper, we will address these...
Malicious software poses a great risk to critical infrastructure. Researchers have proposed numerous ways to analyze malware behavior in order to understand and respond to this threat. However, only little attention has been paid to the organization of the malware analysis process itself. In this paper we present the Malware Analysis and Storage System (MASS), a novel framework for malware analysis...
Creating and maintaining an accurate description of data assets and the relationships between assets is a critical aspect of making data findable, accessible, interoperable, and reusable (FAIR). Typically, such metadata are created and maintained in a data catalog by a curator as part of data publication. However, allowing metadata to be created and maintained by data producers as the data is generated...
Recently, sparse representation based classifiers (SRC) and collaborative representation based classifiers (CRC) have been shown to give very good performance under controlled scenarios. However, in practical applications, face recognition often encounters variations in illumination, expression, noise and occlusion, which cause severe performance degradation (due to the outliers in testing). In this...
Recommendations systems represents a tool or a technology that tries to predict the items that might be of an interest to the user, and they could be considered the programming tools or technologies used for serving recommendations which represent the most suitable items served to the user to choose from, which could be a product, a service, or the topic in which this paper tries to implement within...
With the development of internet and information technology, educational informatization is increasingly focusing on the use of modern technology to provide powerful teaching assistance. Learning resources intelligent recommendation is essential in Smart Education. The paper proposes two aspects of recommendation strategy. First is the basic recommendation strategy, which includes teaching process,...
Mobile phones provide an excellent opportunity for building context-aware applications. In particular, location-based services are important context-aware services that are more and more used for enforcing security policies, for supporting indoor room navigation, and for providing personalized assistance. However, a major problem still remains unaddressed--the lack of solutions that work across buildings...
In recent years, many scholars have devoted their energies to research remote bearing condition monitoring and on-board bearing fault diagnosis, where big data transmission is usually necessary. However, in some cases, the bandwidth of the wireless communication is limited, and the volume of transmitted data is limited by bandwidth. Therefore, raw data are usually compressed before transmission. Different...
Shared services is a consolidation of support functions in organization, to provide services as efficiency and effectively as possible. The implementation shared services in organization become more crucial especially in ICT shared services. However, how to measure the successful ICT shared services is still lacking. The purpose of this study is to identify the factors that influence success in ICT...
Collaborative representation based classifier (CRC) and its probabilistic improvement ProCRC have achieved satisfactory performance in many image classification applications. They, however, do not comprehensively take account of the structure characteristics of the training samples. In this paper, we present an extended probabilistic collaborative representation based classifier (EProCRC) for image...
Face recognition methods utilizing Sparse Representation based Classification (SRC) and Collaborative Representation based Classification (CRC) have recently attracted a great deal of attention due to inherent simplicity and efficiency. In this paper, we introduce the Large Margin Nearest Neighbor (LMNN), which learns a Mahalanobis distance metric that is applied, to SRC and CRC as the locality constraint...
In this paper, we introduce a pruning algorithm which removes aged user ratings from the rating database used by collaborative filtering algorithms, in order to (1) improve prediction quality and (2) minimize the rating database size, as well as the rating prediction generation time. The proposed algorithm needs no extra information concerning the items' characteristics (e.g. categories that they...
The proliferation of fake news in today's digital world has moved beyond a specific election cycle and now commands headlines globally. In this paper, we propose countering the spread of fake news on social networks by leveraging these crowds to instead help verify alternative facts. We present a prototype social argumentation framework to verify the validity of proposed alternative facts to help...
Tujia brocade (Xi lan ka pu) is a kind of traditional handcraft brocade which was listed in the first batch of non-material cultural heritage of China. It has become a popular trend to promote non-material cultural heritage with digital technology. Personalization recommendation for Tujia brocade culture resources could push new knowledge and something the user interested in, which could improve the...
Remote experimentation has long conflicted with security policies imposed by networks administrators. To provide external access to experiment servers in a university, security measures are demanded. Such leads to an excessive dependency on the IT departments for services configuration and maintenance. In the present work, modifications in ISA/ELSA architecture are proposed to circumvent those problems...
This paper aims to identify and analyze recommender systems developed for the health area, available in mobile applications. Therefore, literature was reviewed systematically from ACM, IEEE, Springer and Science Direct databases. 1006 studies were found, eight of which met the eligibility criteria. From the chosen studies, only one was not applied to the areas of nutrition and physical activity. The...
The development of educational policies that improve educational systems needs intelligent automated tools for decision making. This need has motivated the development of a new system which can help teachers, schools, and decision makers in enhancing students' performance. The primary concern here is to monitor the students and help the teachers in building action plans that improve students' performance...
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