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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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.
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.
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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To avoid the "feeling out of control" caused by the redundant information of the human-computer interface to the doctor, based on the cognitive model of the doctor during the operation, the human-machine int...
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This work analyzes the possibility of reducing the energy consumption of digital-to-analog converters by minimizing the energy consumption of the elements that ensure their operation. Due to the fact that such decisio...
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High dropout rates are a common challenge in higher education, particularly in computer science degree programs. These dropouts impede our ability to produce a greater number of graduates in this highly demanded field...
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ISBN:
(纸本)9783031533815;9783031533822
High dropout rates are a common challenge in higher education, particularly in computer science degree programs. These dropouts impede our ability to produce a greater number of graduates in this highly demanded field due to the limitation of the capacity of students enrolled in the first semester. Identifying the reasons behind dropout is a complex task, as the individuals involved are often inaccessible or unwilling to reflect on their lack of success. This paper aims to investigate the factors contributing to dropout rates in computer science degree programs. Through a comprehensive literature survey and qualitative interviews, we have identified the underlying causes of dropout in our computer science bachelor's degree program. Our findings reveal a range of reasons, with time constraints and misaligned expectations of the degree program emerging as the most frequently mentioned factors in our interviews. Based on these insights, we present several recommendations aimed at reducing the dropout rate.
作者：
Arghand, RezaChaibakhsh, AliRadman, MoeinUniversity of Guilan
Intelligent Systems and Advanced Control Lab Faculty of Mechanical Engineering Rasht Guilan41996-13776 Iran University of Essex
Brain-Computer Interfacing and Neural Engineering Laboratory School of Computer Science and Electronic Engineering ColchesterCO4 3SQ United Kingdom
Brain-computer Interface (BCI) systems are relatively new technologies that could play a significant role in aiding the recovery of impaired activities resulting from neuromuscular disabilities in affected individuals...
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The proceedings contain 104 papers. The special focus in this conference is on computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Perfo...
ISBN:
(纸本)9783031829598
The proceedings contain 104 papers. The special focus in this conference is on computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance;adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation;using of a Robotic Platform to Detect Acoustic Events for Indoor Environments;modeling Wildlife Accident Risk with Gaussian Mixture Models;towards a Unified Incident Detection and Response System for Autonomous Transportation;edge-Processing of Myoelectric Signals for the Control of Hand and Arm-Prostheses;AI-Driven Gesture and Action Recognition for Learning Medicine Through Virtual Reality;Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices;a Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints;motion Tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications;advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation;Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM;machine Learning Based Parameter Estimation of Energy Models in Digital Production Environments;efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods;machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding;quantitative Trend Analysis of Reinforcement Learning Algorithms in Production systems;Using AutomationML for Advanced Simulation in Industrial Automation;AR Digital Twin Demonstrator for Industrial Robotics Education;Accelerating Manual Pick-and-Place Operations with AR-Projected CAD Plans and AI-Assisted Object Recognition;variety engineering – A Cybernetic Concept with Practical Implications;using a System Archetype to Explore a Business Model for Digital Textile Microfactories;interacting with the Water Cycle -
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