The proceedings contain 362 papers. The special focus in this conference is on Biomedical engineeringsystems and Technologies. The topics include: Comparing Closed-loop Control of Drug Infusion using MPC and PID;brai...
The proceedings contain 362 papers. The special focus in this conference is on Biomedical engineeringsystems and Technologies. The topics include: Comparing Closed-loop Control of Drug Infusion using MPC and PID;brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain computer Interface;Incorporation of VOC-Selective Peptides in Gas Sensing Materials;study of Polymers for the Implementation of an Axial Impeller with a Central Shaft in a Ventricular Assist Device;experimental Security Analysis of Connected Pacemakers;personalized Hip Replacement: State of the Art and New Tools Proposals;the Method and Apparatus for Peripheral Arterial Disease Treatment;improved Method for Measuring the Pulse Wave Propagation Velocity for Palpable Arteries;automatic Segmentation of the Cervical Region in Colposcopic Images;a Mechatronics-twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees;pH and SpO2 Miniaturized Sensors for Fetal Health Monitoring;innovative Methodology for the 3D Reconstruction of Body Geometries using Open-source Software;Tele-tDCS: A Novel Tele-neuromodulation Framework using Internet of Medical Things;novel Concept for a Mechanical In traurethral Artificial Urinary Sphincter;Post-market Clinical Follow-up (PMCF) GAP Analysis for Legacy Devices Class III between the Medical Device Directive (MDD 93/42/EEC) and the Medical Device Regulation (MDR 2017/745);Android-based ECG Monitoring System for Atrial Fibrillation Detection using a BITalino® ECG Sensor;separation Microfluidic Devices Fabricated by Different Milling Processes;fourier Ptychography Microscopy Resolution Improvement Employing Refocusing;development of a Piezoelectric Micro machined Ultrasound Transducer using Micro fabrication Technology for in Vitro Neuro modulation.
Facial Emotion Recognition (FER) has emerged as a pivotal domain within computer vision, with applications spanning diverse fields such as human-computer interaction, mental health monitoring, and security systems. Wh...
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The human-computer interaction interface serves as the means for astronauts to control complex information systems, and with the advancement of manned deep space exploration, higher demands are placed on its design an...
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We developed a mobile SDK that ran several ML models on device that was used by app developers who integrated the SDK into their app to provide real-time guidance and decisions based on what the on-device camera and o...
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ISBN:
(纸本)9798400705946
We developed a mobile SDK that ran several ML models on device that was used by app developers who integrated the SDK into their app to provide real-time guidance and decisions based on what the on-device camera and other inputs provided. The SDK was instrumented with mobile analytics. We encountered various challenges on the journey and at least some of these might be of research interest.
In application software development, memory defects are difficult to detect. Traditional memory defect detection tools generally face issues of high performance overhead and excessive memory consumption, which limits ...
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Deep reinforcement learning (DRL) has shown success in diverse domains such as robotics, computer games, and recommendation systems. However, like any other software system, DRL-based software systems are susceptible ...
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ISBN:
(纸本)9798350395693;9798350395686
Deep reinforcement learning (DRL) has shown success in diverse domains such as robotics, computer games, and recommendation systems. However, like any other software system, DRL-based software systems are susceptible to faults that pose unique challenges for debugging and diagnosing. These faults often result in unexpected behavior without explicit failures and error messages, making debugging difficult and time-consuming. Therefore, automating the monitoring and diagnosis of DRL systems is crucial to alleviate the burden on developers. In this paper, we propose RLExplorer, the first fault diagnosis approach for DRL-based software systems. RLExplorer automatically monitors training traces and runs diagnosis routines based on properties of the DRL learning dynamics to detect the occurrence of DRL-specific faults. It then logs the results of these diagnoses as warnings that cover theoretical concepts, recommended practices, and potential solutions to the identified faults. We conducted two sets of evaluations to assess RLExplorer. Our first evaluation of faulty DRL samples from Stack Overflow revealed that our approach can effectively diagnose real faults in 83% of the cases. Our second evaluation of RLExplorer with 15 DRL experts/developers showed that (1) RLExplorer could identify 3.6 times more defects than manual debugging and (2) RLExplorer is easily integrated into DRL applications.
Several vital resources are increasingly being protected by cyber-physical systems (CPSs), makes the detection of incidents on these systems critical. CPSs along with other domains, such as the Internet of Things (IoT...
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The proceedings contain 98 papers. The topics discussed include: a QoS-based power optimization for D2D underlaying macro-small cellular networks with imperfect channel estimation;on network systems design: pushing th...
ISBN:
(纸本)9781538652602
The proceedings contain 98 papers. The topics discussed include: a QoS-based power optimization for D2D underlaying macro-small cellular networks with imperfect channel estimation;on network systems design: pushing the performance envelope via FPGA prototyping;single image super resolution based on learning features to constrain back projection;effect of application types on the performance of WiFi networks;system design and implementation of wall climbing robot for wind turbine blade inspection;application of multi-verse optimizer for transmission network expansion planning in power systems;a comparative study of relaying networks: an outage probability approach;and design of area efficient and low power 4-bit multiplier based on full- swing gdi technique.
In the current construction of computer network systems, big data technology and artificial intelligence technology are playing an active role, with significant implications for enhancing system functions and ensuring...
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The paper presents an experience report for Don't Panic Labs (DPL), a software and consulting company, outlining the cultural shift in building software using lean processes and engineering principles over 20 year...
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ISBN:
(纸本)9798350395693;9798350395686
The paper presents an experience report for Don't Panic Labs (DPL), a software and consulting company, outlining the cultural shift in building software using lean processes and engineering principles over 20 years. The shift was intentional due to failures of prior projects. Challenges are identified along with opportunities to address them. An evolution of the company culture is explained via themes that were incorporated chronologically over time, which resulted in reducing errors in judgment, leading to reliable and predictable successes. Two factors, namely, the percentage of rework and co-creation sessions for efficient iteration of requirements, stand out as significantly impacting project success. Lessons learned with discussion and impact to the profession and education are presented.
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