RACS

Publications

2023

Minho Park, Daewoong Hwang, Jiman Hong
Incremental Hibernation for Baseboard Management Controllers. RACS (2023)
Longyin Cui, Xiwei Wang, Ting Gu
A Generic Data Synthesis Framework for Privacy-Preserving Point-of-Interest Recommender Systems. RACS (2023)
Renold Raj Devaraj, Kapil Kaushik
Machine Learning driven Skill Prioritisation for Human Resource Planning. RACS (2023)
Chan Sik Han, Keon Myung Lee
Hybrid Deep Learning Model for Time Series Anomaly Detection. RACS (2023)
Jungyoung Heo
Session details: Artificial Intelligence I. RACS (2023)
Juw Won Park
Session details: Posters. RACS (2023)
Jiwoo Shin, Seoyeon Kim, Taesik Kim, Jinman Jung
Automatic Detection and Measurement Method for Road Block on UGVs. RACS (2023)
Howon Lee, Yoonyoung Park, Yoonjae Chae, Sungchul Lee
Application Integrity Assurance System: Using Blockchain for Securing Application Package Integrity. RACS (2023)
Eun Young Lee, Ngagaba Gogo Dae Il, Gi-hong An, Sungchul Lee, Kiho Lim
ChatGPT-Based Debate Game Application Utilizing Prompt Engineering. RACS (2023)
Daewoong Hwang, Minho Park
Reducing the Booting Time for BMC. RACS (2023)
Chun-Chieh Lin, Tzu-Chiao Yen, Ya-Shu Chen
Multiple Time-sensitive Inferences Scheduling on Energy-harvesting IoT Devices. RACS (2023)
Chulwoo Pack, Dongyoun Kim
Weakly-supervised Semantic Segmentation on Historical Document Images. RACS (2023)
Rebecca Garcia, Hunter Harris, Matthew Beach, Dylan Couch, Samee U. Khan
UAS Integration Safety and Security Technology Ontology. RACS (2023)
Ming-Yan Wu, Chin-Hsien Wu
A Multi-Stream-aware DRAM Allocation Strategy inside Solid-State Drives (SSDs). RACS (2023)
Chan-Young Choi, Sung-Yoon Ahn, Sang-Woong Lee
Enhanced Polyp Segmentation with a Hybrid Approach Integrating Transformers and Convolutional Neural Networks. RACS (2023)
Chin-Hsien Wu
Session details: Network & Security. RACS (2023)
Luca Verderame, Luca Caviglione, Roberto Carbone, Alessio Merlo
SecCo: Automated Services to Secure Containers in the DevOps Paradigm. RACS (2023)
Deepti Gupta, Shafika Showkat Moni, Ali Saman Tosun
Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things. RACS (2023)
Bayarchimeg Kalina, Jaeheung Lee
Improving Unsupervised Domain Adaptation with Auxiliary Classifier GANs. RACS (2023)
Muyeon Jo, Sejin Chun, Jungkyu Han
Geographic Area Analysis by Using VAE based Area Embeddings on LBSN data. RACS (2023)
Chongin Jeong, Minho Park, Junyoung Heo
Viewership Measurement for OTT on iOS Platforms. RACS (2023)
Herminio Paucar Curasma, Júlio Cezar Estrella
Reactive Software Architectures in IoT: A Literature Review. RACS (2023)
Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems, RACS 2023, Gdansk, Poland, August 6-10, 2023 RACS (2023)
Christian Expositio
Session details: Artificial Intelligence II. RACS (2023)
Seongjin Kim, Junyoung Heo
OTT Contents Identification based on Audio Capture and Analysis in Android Mobile Platform. RACS (2023)
Chi-Sheng Shih, Yu-Cheng Liao, Ching-Ting Tan
Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images. RACS (2023)
John Kim
Session details: Architectures & System Software. RACS (2023)
Brij B. Gupta, Akshat Gaurav, Varsha Arya, Pankoo Kim
A Deep CNN-based Framework for Distributed Denial of Services (DDoS) Attack Detection in Internet of Things (IoT). RACS (2023)
Ju-Yong Seong, Seung-min Ji, Dong Hyun Choi, Sungchul Lee
Optimizing Generative Adversarial Networks Models for Non-Pneumatic Tire Design: A Comparative Analysis and Evaluation. RACS (2023)
Sung-Yoon Ahn, Sang-Woong Lee
BERT-based classification of fungi protein sequences with multiple GO labels. RACS (2023)
Seoyeon Kim, Jung Woo Kim, Taesik Kim, Jinman Jung
A Hierarchical Gated Recurrent Unit Network Model for Settlement Prediction. RACS (2023)
Gwanghee Won
Session details: Artificial Intelligence III. RACS (2023)
Sergio Moreschini, David Hästbacka, Davide Taibi
MLOps Pipeline Development: The OSSARA Use Case. RACS (2023)
Kwanghee Won, Mostafa Tazarv, Timothy M. Hansen
Crack Segmentation with Generative Deep Learning-Based Data Augmentation Approach. RACS (2023)
Yena Lee, Euihwan Han, Ahyeon Lee, Meejung Hong
Personalized Recommendation System based on Recommendation Indicator in Education Platform. RACS (2023)
Eduardo Mosqueira-Rey, David Alonso-Ríos, Nerea Vázquez-Callejón
Usability Heuristics and Guidelines for RESTful APIs and Application to the Twitter API. RACS (2023)
Youngsun Jang, Hyung Do Choi, Kwanghee Won, Sung Y. Shin
FulltextAttention: Full-text Classification of Scientific Papers Using Combined Model of BiGRU and Bahdanau Attention. RACS (2023)
Chin-Fu Kuo, Zong-Ru Zhung, Yung-Feng Lu
Improve the Performance of Parallel Reduction on General-Purpose Graphics Processor Units Using Prediction Models. RACS (2023)
Soohyun Kim, Kyoyeong Koo, Taeyong Park, Jeongjin Lee
ICP Algorithm Based Liver Rigid Registration Method Using Liver and Liver Vessel Surface Mesh. RACS (2023)
Akshat Gaurav, Varsha Arya, Kwok Tai Chui, Brij B. Gupta, Chang Choi, O-Joun Lee
Long Short-Term Memory Network (LSTM) based Stock Price Prediction. RACS (2023)
Namgyu Jung, Junho Yoon, Saebom Lee, Pankoo Kim, Kiho Lim, Chang Choi
News Category Classification via Multimodal Fusion Method. RACS (2023)
Kukhyun Kim
Architectural design on hypervisor-based guest OSs and SafetyRTOS in automotive platform. RACS (2023)
Eunseok Choi
Design and Implementation of Hybrid Cloud Device-as-a-Service. RACS (2023)
Zahraa Khais Shahid, Saguna Saguna, Christer Åhlund
Forecasting and Detecting Anomalies in ADLs in Single-Resident Elderly Smart Homes. RACS (2023)
Bomi Jeong, Sungwon Lee, Ayesha Siddiqa, Mahnoor Ajmal, Junho Seo, Dongkyun Kim
Experimental Analysis of Handover Process in Cell-Free Networks. RACS (2023)
Biagio Boi, Christian Esposito
Using Knowledge Graphs to ensure Privacy Policies in decentralized data collection systems. RACS (2023)
Chin-Hsien Chen
Session details: Applications. RACS (2023)
Chia-Hsin Hsu, Chuan-Chi Wang, Nai-Wei Hsu, Chia-Heng Tu, Shih-Hao Hung
Towards Scalable Quantum Circuit Simulation via RDMA. RACS (2023)
Abir Mohammad Hadi, Youngsun Jang, Kwanghee Won
Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers. RACS (2023)

2022

Luka Lelovic, Michael Mathews, Amr Elsayed, Tomás Cerný, Karel Frajták, Pavel Tisnovsky, Davide Taibi
Architectural languages in the microservice era: a systematic mapping study. RACS (2022)