ACM-TURC

It is vital for educators to teach learners in accordance with their aptitude, which can be useful to help learners reach their full potential. Educators have been taking the Myers-Briggs Type Indicator (MBTI) as a powerful tool to understand the ...

The Computer Science Curricula 2013 (CS2013) calls for undergraduate CS programs to expose their students to the models underlying different programming languages as well as the principles on which language features are defined, composed, and ...

Mobile crowd sensing (MCS) systems, which offer a great opportunity to fully take advantage of wisdom of the crowd, naturally benefits from low deployment cost and widely spatial coverage. Due to failure or risk caused by a central server, we study the ...

Indian Ocean Dipole (IOD) is a large-scale physical ocean phenomenon occurring in the Indian Ocean basin. IOD is of great help to predict El Niño-Southern Oscillation (ENSO). Predicting the occurrence of IOD is of great significance to the study of ...

The short term and small-scale sea surface temperature prediction using deep learning has achieved good results. It is still an important challenge to obtain accurate large-scale and long-term SST predictions. In this study, we used a temporal ...

Deep learning has achieved the high-accuracy of state-of-the-art algorithms in long-standing AI tasks. Due to the obvious privacy issues of deep learning, Google proposes Federal Deep Learning (FDL), in which distributed participants only upload local ...

Adversarial images are specifically designed to fool neural networks into making a wrong decision about what they are looking at, which severely degrade neural network accuracy. Recently, empirical and theoretical evidence suggests that robust neural ...

The development of blockchain technology has led to the emergence of a large number of blockchain systems for different domains. These blockchain systems present the problem of data isolation. Chain interoperability technology, that is, cross-chain ...

The Computing Curricula 2020 (CC2020) competence model raises a big challenge to cybersecurity education in terms of knowledge, skill and disposition. In this paper, we propose a competence-based three-layer cybersecurity education framework using an ...

In order to solve the problem that the subway attracts less passenger flow, there are too many overlapping lines between the bus and the subway, resulting in traffic congestion of other conventional bus lines along the subway. For this reason, we take ...

Deep neural network (DNN) models have been widely deployed on embedded and mobile devices in lots of application fields such as health care, face recognition, driver assistance, etc. These applications usually require privacy or trusted computing ...

As the underlying technology of cryptocurrency, blockchain is characterized by decentralization and immutability. It is considered as a new generation of disruptive technology. However, the underlying storage of blockchain only provides limited support ...

In recent years, ship detection in large-scale synthetic aperture radar (SAR) images attracts more attentions and becomes a research hotspot. But it still faces some challenges, such as strong interference of background noise and very small ship ...

The prediction of real-time speed plays an important role in intelligent transportation system (ITS). However, it is a challenging work because of the serious spatial dependence and complex temporal dependence of traffic speed. In this paper, we ...

Intrusion detection system is a primary defense mechanism in aspect of protecting network security. Anomaly detection, as one of the most commonly used intrusion detection methods, plays a significant part in detecting the network traffic data. However,...

With the development of the Internet of Things (IOT) and 5th Generation Mobile Networks (5G), the data traffic generated by edge terminal devices has exploded. Traditional Cloud Computing (CC) technology cannot meet the business requirements of low ...

Intelligent terminal information security risk analysis is of great significance to the safe operation of electricity information collection systems. Taking smart meters and load control/special transformer electricity information collection terminals ...

Deep Neural Networks (DNNs) are vulnerable to backdoor attacks where the adversary can inject malicious data during the DNN training. Such kind of attacks is always activated when the input is stamped with a pre-specified trigger which results in a pre-...

In recent years, with the development of deep learning techniques, face recognition has draw numerous attention in both academic and industrial. Meanwhile, it is also widely deployed in smart home and brings great conveniences in people’s life. However,...

The Controller Area Network (CAN) is the most commonly used in-vehicle protocol for reliable communication between Electronic Control Units (ECUs). Due to its broadcast nature and absence of message authentication mechanisms, CAN bus is vulnerable to ...

Knowledge tracking is to model the student’s learning interaction records so that we can evaluate the student’s learning state with relative accuracy and can adjust the students’ learning schedule appropriately or formulate a more reasonable learning ...

Knowledge tracing(KT) is a hot topic in computer-supported education. It’s a task that can model a sequences of learning activities that students engage with, so as to trace the students’ continuously developing state of knowledge. One important ...

The accuracy of power dispatching speech recognition system is related to the effect of language model. In order to improve the accuracy of power dispatching speech recognition, this paper proposes a class label language model based on double ...

Mobile edge computing (MEC) is regarded as an effective solution for processing computation-intensive tasks. Edge servers with limited resources which are deployed nearby mobile devices (MDs) suffer from many constraints than remote cloud, and relying ...

Recently, many Chinese Named Entity Recognition (NER) problems which utilize the character-based approach have a good performance, the character-based approach becomes the dominant current of the approaches, but there are two issues in the existing ...

Compared with the traditional centralized power transaction mode, the distributed power transaction in the microgrid has the advantages of high transaction efficiency, low transaction cost and high privacy, while the characteristics of the block-chain, ...

The current IP architecture is faced with scalability, security and dynamic problems, while the current DNS also has the problems of centralized management and server security. The defects of IP system make it unable to adapt to the current rapid ...

With the rapid development of new energy industry, the new energy structure is gradually shifting from centralized system to distributed system. The problems of trust and fair trade have become increasingly prominent in traditional centralized energy ...

Cloud computing and network function virtualization (NFV) are emerging as key technologies to meet different service requirements of users. With NFV, service providers can flexibly deploy network services on clouds, significantly improving user ...