IRC-SET 2021 (eBook, PDF)

Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
Redaktion: Guo, Huaqun; Lakshmanan, Umayal; Chekole, Eyasu Getahun; Wang, Victor; Ren, Hongliang

• Format: PDF

Produktbeschreibung

This book highlights contemporary state of research in multidisciplinary areas in computer science, computer engineering, chemical engineering, mechanical engineering, physics, biomedical sciences, life sciences, medicine, and health care. The accepted submissions to the 7th IRC Conference on Science, Engineering and Technology (IRC-SET 2021) that were presented on August 7, 2021, are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 693
• Erscheinungstermin: 31. Juli 2022
• Englisch
• ISBN-13: 9789811698699
• Artikelnr.: 64708656

Autorenporträt

Dr. Huaqun Guo is President of International Researchers Club, and Steering Committee Member for IRC Conference on Science Engineering and Technology (IRC-SET). She had worked as Senior Scientist at the Institute for Infocomm Research (I2R), Agency for Science Technology and Research (A*STAR) for more than 16 years. Dr. Guo obtained her B.Eng. and M.Eng. from Tianjin University, and her M.Eng. and Ph.D. from the National University of Singapore (NUS), respectively. Before joining I2R, she was Senior Research Staff at NUS and Senior Engineer at Kent Ridge Digital Labs (KRDL). She has published 80 referred papers in the international conferences, journals, and books. Her research areas include network security, Industrial Internet of Things (IIoT) security, AI (artificial intelligence) for cyber security, blockchain, applied cryptography, vehicular networks and security, communications, and security risk analysis. Dr. Hongliang Ren is currently Assistant Professor and leading a research group on medical mechatronics in the Biomedical Engineering Department of National University of Singapore (NUS). He is affiliated Principal Investigator for the Singapore Institute of Neurotechnology (SINAPSE), NUS (Suzhou) Research Institute, and Advanced Robotics Center at National University of Singapore (NUS). Dr. Ren received his Ph.D. in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008.  Prior to joining NUS, he worked as Research Fellow at The Johns Hopkins University, Children's Hospital Boston & Harvard Medical School, and Children's National Medical Center, USA. His main areas of interest include biorobotics & intelligent control, medical mechatronics, computer-integrated surgery, and multisensor data fusion in surgical robotics. Dr. Ren is IEEE Senior Member and Recipient of IAMBE Early Career Award 2018. Dr. Victor Wang is currently Associate Professor in Singapore Institute of Technology. Dr. Victor Wang graduated from Loughborough University with a First in Aeronautical Engineering (B.Eng., 2008) before reading his Doctorate in Aerodynamics, specializing in Computational Fluids Dynamics (2012). His current research interest is in applied aerodynamics, using both computational and experimental methods to capture complex but interesting flow behaviors that can be applied to a wide range of engineering applications. Dr. Victor Wang is Member of the Royal Aeronautical Society and Senior Member of Institute of Engineers, Singapore. Dr. Eyasu Getahun Chekole is currently a Research Fellow in Cybersecurity at Singapore University of Technology and Design. Previously, he was a Research Scientist in Cybersecurity at the Agency for Science, Technology, and Research (A*STAR) in Singapore, an Assistant Researcher in Cybersecurity at the Fondazione Bruno Kessler (FBK) in Italy, a Software Engineer at Femar Consulting s.r.l in Italy, and aSoftware Engineer at the Information Network Security Assurance (INSA) in Ethiopia. He received a Ph.D. in Computer Science from Singapore University of Technology and Design (in Singapore), an M.Sc. in Computer Science from University of Trento (in Italy), and a B.Sc. in Computer Science & IT from Arba Minch University (in Ethiopia). His research interests include software and system security, memory safety, industrial control and cyber-physical systems security, IoT security, applied cryptography, and Blockchain.   Dr. Umayal Lakshmanan is a drug discovery scientist at Experimental Drug Development Centre, A*STAR (Agency for Science Technology and Research). She obtained her PhD from Yong Loo Lin School of Medicine, NUS. Her expertise is in Drug discovery projects in the fields of Oncology and Infectious diseases. She was project leader for several drug discovery collaboration projects with local and international Institutes and Universities. She started her career in drug discovery by leading an ASTAR-BMRC-DSTA grant project in collaboration with DSO to develop and establish a new technology platform for antimicrobial drug discovery, using a whole animal assay for high throughput screening. She was the project leader for the NMRC grant based TB drug discovery project responsible for target-based whole cell high throughput screen for inhibitors and activators of the mycobacterial caseinolytic protease (Clp) degradation complex. She was part of the highly successful SPRINT-TB international collaboration team and led the project for Theme-1 on whole cell High Throughput Screening for identification of novel anti-mycobacterial targets and later on for the NRF-grant based TOPNET program in collaboration with NTU and other international Universities. She also played important roles in various oncology drug discovery campaigns with diverse targets involving epigenetics, kinases and metabolic pathways.  She has been an invited as well as selected speaker in various international conferences and symposiums on Drug discovery.

Inhaltsangabe

Spinal Muscular Atrophy: Evaluation of New Emerging Methods for Carrier Screening and Diagnosis.- Traffic Strategy for Mixed Traffic in Container Terminals.- Investigating the Effectiveness of Non-pharmaceutical Interventions on COVID-19.- Investigating the Genetic Etiology of Disease in a Patient with Aplastic Anemia.- Topology and Geometry of 3-Band Models.- Cross Lingual Information Retrieval.- Alternative to Chromatography: Purification of Therapeutic Protein/Peptides by Continuous Crystallization in Millifluidics.- Design of Underground Structures to Mitigate Effects of Soil Liquefaction.- Enhanced Real-Time Raw sEMG Signal Classification Through Bypass Of Manual Feature Engineering & Extraction.- Transforming & Solving Multi-Channel Time Series Classification Problem using Image Classification Techniques.- Catalytic Water Treatment.- Heterologous Expression of a Mangrove K+ Transporter, AoHKT1 increases salt tolerance of Arabidopsis thaliana.- Applying James Stein Estimationto b-Bit Minwise Hashing.- Vertical Thermal Imaging Analysis of a High-Rise Building in Singapore.- EEG-Based Evaluation of the Effect of Emotion on Relaxation Management.- AI-Driven Data Analytics Assessing methods to localise pre-existing Natural-Language-Processing data.- The physics of a bead rolling on a rotating hoop - a problem in nonlinear dynamics.- Development and Optimisation of a Rapid Paper-based test for the Detection of IL-6.- Mining next-generation sequencing data to identify anti-nociceptive signalling pathways.- Detection and classification system for rail surface defects based on deep learning.- Analysing Gait Patterns of Parkinsons' Disease patients to predict Freezing of Gait (FoG) using Machine Learning Algorithms.- An Overview of Transparent Insulation Materials and its Future Developments.- Study of Variation in Alccofine on Concrete Strength.- Linguistic Indicators of Success in Aviation Emergencies: A Cockpit Voice Recorder (CVR) Investigation.- Gait Monitoring and Analysis for Parkinson Disease Patients.- An Eldercare Control System in IoT Cloud Environment .- Wideband Sinuous Antenna Design.- EEG-based Evaluation of Classifying Attention States between Single and Dual Tasks.- Nanotechnology for Remediation of Water Environment.- Elucidating the role of MAMDC2 in head and neck squamous cancer.- Predicting in vivo Drug-Drug Interactions between Rivaroxaban and Tyrosine Kinase Inhibitors arising from Mechanism-Based Inactivation of Cytochrome P450 3A4.- Low-Reynolds-number airfoil shape optimization using genetic algorithm with mode parameterization.- Personalized Guided Perceptual Learning.- Investigating the Public's Experiences and Knowledge of Communicating with People with Dementia.- The Study of Epidemic Model in the Context of Singapore.- From phenotypes to endotypes: Deciphering the immune signatures associated with atopic dermatitis (AD).- Synthesis and modification of LDHs for the adsorption of cationic and anionic dyes and phosphates.- Decitabine as a latency perturbing agent in Epstein-Barr virus (EBV) positive Natural Killer/T cell Lymphoma (NKTL).- Development of a First-aid Smart Assistant Device using IoT Technology and Augmented Reality.- AI Panorama Art of Proteins with Image Blending Deep Learning.- A study in Factors Affecting the Production and Properties of Biocellulose produced by Acetobacter Xylinum.- Synthesis of Magnetically-Responsive Photocatalytic CuBTC Metal-Organic-Frameworks (MOFs) for Degradation of Organic Textile Pollutants.- Object Motion Detection.- Spectral Analysis of Public Transport Networks.- Antimicrobial, Antioxidant, Toxicity and Phytochemical screening of Dieffenbachia camilla and the synthesis of a novel and green topical delivery method for it.- Epigenetic modification of fruitless in the protocerebrum influences male Drosophila courtship behaviour.- An Edge-based Dustbin for Smart Compacting and Segregating.- Self-supervised Learning with Deep Neural Networks for ComputerVision.- IoT-Enabled Smart Window With Environmental Sensors.- Synthesis of Magnetic Chitosan Hydrogel from crab shells as an Environmentally-friendly Adsorbent for Water Purification.- Electrochemical Treatment of an Effluent with Azo Dyes and Heavy Metals Using a Graphene-Coated Electrode.- Detection and Removal of Obstructions in Still Images Utilising Machine Learning.- Investigating the Application of the Separation Capabilities of a Zirconium MOF b-oriented MFI Zeolite Membrane.- Investigating the effects of herbs on reducing symptoms associated with schizophrenia in the model organism Caenorhabditis elegans.- Investigating the effect of sugarcane extract and lotus root extract on the growth of Lactobacillus spp. and its effect on microbial antagonism.