Hyunho Ahn
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View article: Artificial Intelligence of Things: A Survey
Artificial Intelligence of Things: A Survey Open
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we provide a systematic and comprehensive revie…
View article: ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT
ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT Open
Funding: This work was supported in part by the Electronics and Telecommunications Research Institute through the Korean government under Grant 23zs1300 (Research on High Performance Computing Technology to overcome limitations of AI proce…
View article: BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference
BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference Open
Convolutional neural networks (CNNs) have enabled effective object detection tasks in bioimages. Unfortunately, implementing such an object detection model can be computationally intensive, especially on resource-limited hardware in a labo…
View article: Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version Open
Quantization is a popular technique used in Deep Neural Networks (DNN) inference to reduce the size of models and improve the overall numerical performance by exploiting native hardware. This paper attempts to conduct an elaborate performa…
View article: Accurate Crack Detection Based on Distributed Deep Learning for IoT Environment
Accurate Crack Detection Based on Distributed Deep Learning for IoT Environment Open
Defects or cracks in roads, building walls, floors, and product surfaces can degrade the completeness of the product and become an impediment to quality control. Machine learning can be a solution for detecting defects effectively without …
View article: ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer Open
Industrial Internet of Things (IIoT) applications can benefit from leveraging edge computing. For example, applications underpinned by deep neural networks (DNN) models can be sliced and distributed across the IIoT device and the edge of t…