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A rapid and accurate estimate of earthquake damage is a key component in a successful earthquake early warning (EEW) system. The cumulative absolute velocity (CAV) is an important and widely used parameter to measure ground motion intensity, but ...

Field-Programmable Gate Array (FPGA) has shown great potential in accelerating Deep Neural Networks (DNNs) due to its characteristics of programmability and high power efficiency. In address the compilation challenges between DNNs and FPGA, we propose ...

Cellular Internet card (IC) as a new business model emerges, which penetrates rapidly and holds the potential to foster a great business market. However, with the explosive growth of IC users, the user churn problem becomes severe, affecting the IC ...

Affective analysis of movies heavily depends on the causal understanding of the story with long-time dependencies. Limited by the existing sequence models such as LSTM, Transformer, etc., current works generally split the movies into dependent clips and ...

Binaural sound source localization is a field with wide applications, such as virtual sound localization in VR or speech enhancement, which has drawn many researchers’ attention. However, the mismatched HRTF condition is a severe problem, which has been ...

New cyberattacks grow in an exponential rate. However, the state-of-the-art in cyber defense efforts cannot keep pace with the sophisticated cybersecurity threats and attacks. The industry relies excessively on anti-virus software which is effective for ...

Blockchain technology has impacted various sectors and there is a high demand for blockchain professionals, however, a lot of schools have not offered courses in blockchain. We propose a portable labware that covers the complete cycle of blockchain ...

The primary goal of the authentic learning approach is to engage and motivate students in learning real world problem solving. We report our experience in developing k-nearest neighbor (KNN) classification for anomaly user behavior detection, one of the ...

With the development of deep neural networks, the smart edge-cloud scenario is expected to meet the diverse and personalized requirements of users. However, the exiting edge-cloud architecture requires the deployment of manually designed neural networks. ...

Water distribution network (WDN) is one of the most essential infrastructures all over the world and ensuring water quality is always a top priority. To this end, water quality sensors are often deployed at multiple points of WDNs for real-time ...

Thyroid nodule lesions are one of the most common lesions of the thyroid; the incidence rate has been the highest in the past thirty years. X-ray computed tomography (CT) plays an increasingly important role in the diagnosis of thyroid diseases. ...

The Industrial Internet of Things (IIoT) is profoundly changing the production mode, e.g., rail freight industry and medical industry, with the widespread applications of sensor technology and wireless network in the industrial field. However, ...

A set of Information Assurance and Security hands-on learning modules is developed and open to the public. Topics include networking security, database security, defensive programming, web security, system fundamentals, mobile security, malware ...

Binaural sound source localization is an important and widely used perceptually based method and it has been applied to machine learning studies by many researchers based on head-related transfer function (HRTF). Because the HRTF is closely ...

The majority of malicious mobile attacks take advantage of vulnerabilities in mobile applications, such as sensitive data leakage via inadvertent or side channel, unsecured sensitive data storage, data transmission, and many others. Most of these mobile ...

As mobile computing is now becoming more and more popular, the security threats to mobile applications are also growing explosively. Mobile app flaws and security defects could open doors for hackers to break into them and access sensitive information. ...

As mobile computing is becoming more and more popular, the security threats to mobile applications are simultaneously increasing explosively. Most malicious activities hack the user's private information, such as contact and location information, hijack ...

While the market for the E-Discovery (Electronic Discovery) is predicted to grow rapidly in coming years, the anticipated shortage of electronic discovery professionals is a result of the lack of education programs in this emerging field. In this paper, ...

This poster addresses the needs of pedagogical learning materials for Secure Mobile Software Development(SMSD) education and challenges of building SMSD capacity. In this poster, we present an innovative authentic learning approach for SMSD through real-...

This paper explored possible vulnerabilities in FlowVisor, SDN virtualized tool, and analyzed the potential isolation issue between multiple virtual slices by FlowVisor. We discovered a security vulnerability of interference between virtual slices in SDN, ...