IEEE Computer



Semantic Development and Integration of Standards for Adoption and Interoperability

IEEE Computer

Semantic applications can help commercial applications perform quickly and reliably by improving ecosystem interoperability. Converting and integrating current standards specifications to OWL models could support the adoption of semantic models, as well as machine-processable standards compliance and data interoperability.


A Semantic Web Approach to Simplifying Trigger-Action Programming in the IoT

IEEE Computer

End-user programming environments for the IoT such as IFTTT rely on a multitude of low-level trigger-action rules that categorize devices and services by technology or brand. EUPont is a Semantic Web ontology that enables users to meet their needs with fewer, higher-level rules that can be adapted to different contextual situations and as-yet-unknown IoT devices and services.


Humanitarian Open Source Software in Computing Education

IEEE Computer

Empowering students to become socially responsible professionals is a desirable result of computing education. Humanitarian Free and Open Source Software (HFOSS) projects provide an opportunity for computing educators to inspire their students to tackle global humanitarian challenges while also learning about software engineering.


Enabling Deep Learning on IoT Devices

IEEE Computer

Deep learning can enable Internet of Things (IoT) devices to interpret unstructured multimedia data and intelligently react to both user and environmental events but has demanding performance and power requirements. The authors explore two ways to successfully integrate deep learning with low-power IoT products.


mco2017100073-abs.html

IEEE Computer

Three science fiction prototypes explore AI's potential threats to not only our personal and professional lives but also global security.


The Meanings in the Machine

IEEE Computer

In the future, we'll share meanings with computers, AIs, and robots. And that makes meanings matter even more.


Thwarting DoS Attacks: A Framework for Detection based on Collective Anomalies and Clustering

IEEE Computer

A hybrid learning framework uses a collective anomaly to analyze patterns in denial-of-service attacks along with data clustering to distinguish an attack from normal network traffic. In two evaluation datasets, the framework achieved higher hit rates relative to existing anomaly-detection techniques. Mohiuddin Ahmed, "Thwarting DoS Attacks: A Framework for Detection based on Collective Anomalies and Clustering", Computer, vol.


Sustaining Moore’s Law with 3D Chips

IEEE Computer

Rather than continue the expensive and time-consuming quest for transistor replacement, the authors argue that 3D chips coupled with new computer architectures can keep Moore's law on its traditional scaling path.


Computer Architectures for Autonomous Driving

IEEE Computer

To enable autonomous driving, a computing stack must simultaneously ensure high performance, consume minimal power, and have low thermal dissipation--all at an acceptable cost. An architecture that matches workload to computing units and implements task time-sharing can meet these requirements.