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Cognitive Assessment of Students Using Testing Instruments on computer Networks Courses in Informatics and computer engineering Education Study program at UNJ 8

Cognitive Assessment of Students Using Testing Instruments o...

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8th International Conference on Education and Technology, ICET 2022

作者： Duskarnaen, Muhammad Ficky Sastrawijaya, Yuliatri Ajie, Hamidillah Arrazi, Muhammad Fakhruddin State University of Jakarta Informatics and Computer Engineering Education Study Program Jakarta Indonesia

ISBN: (数字)9781665492140

ISBN: (纸本)9781665492140

This study aims to design an assessment instrument to assess students' cognition in computer networking lessons. The design and design of the test instrument followed the ADDIE model, from the analysis stage to determine student targets and characteristics, then the design stage, determining learning objectives, learning material design, and question grids, at this stage the number of Subject Matter Experts (SME) was also determined as many as 6 people, for 6 Subject Matter Experts (SME), the minimum acceptable Content Validation Ratio (CVR) is 0.99, while the Content Validation Index (CVI) is 0.83. At the development stage, 81 items were designed as a draft assessment instrument. At the implementation stage, the Subject Matter Experts (SME) assessed each item on the draft assessment instrument. This study uses a quantitative content validity approach from the Lawshe model with a 3-point scale as follows: essential, useful but not necessary, and non-essential. Each Subject Matter Expert (SME) was given an instrument to assess each item in the test instrument. The Subject Matter Expert (SME) will determine whether an important question is given, normal or normal, or whether the question is not important given to students. At the evaluation stage, the Subject Matter Expert (SME) assessment of the draft test instrument will be compiled and the Content Validation Ratio (CVR) value and the Content Validation Index (CVI) value calculated to determine content validity. © 2022 IEEE.

关键词： Students

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From light sensing to adaptive learning:hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing

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Light(Science & Applications) 2025年第1期14卷 215-226页

作者： Bashayr Alqahtani Hanrui Li Abdul Momin Syed Nazek El-Atab Electrical and Computer Engineering Program Computer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)ThuwalSaudi Arabia Electrical Engineering Department College of EngineeringPrincess Nourah Bint Abdulrahman University(PNU)RiyadhSaudi Arabia

Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior,dynamic responses,and energy efficiency *** charge-based or emerging memory technologies such as memristors have been developed to emulate synaptic plasticity,replicating the key functionality of neurons—integrating diverse presynaptic inputs to fire electrical impulses—has remained *** this study,we developed reconfigurable metal-oxide-semiconductor capacitors(MOSCaps)based on hafnium diselenide(HfSe2).The proposed devices exhibit(1)optoelectronic synaptic features and perform separate stimulus-associated learning,indicating considerable adaptive neuron emulation,(2)dual light-enabled charge-trapping and memcapacitive behavior within the same MOSCap device,whose threshold voltage and capacitance vary based on the light intensity across the visible spectrum,(3)memcapacitor volatility tuning based on the biasing conditions,enabling the transition from volatile light sensing to non-volatile optical data *** reconfigurability and multifunctionality of MOSCap were used to integrate the device into a leaky integrate-and-fire neuron model within a spiking neural network to dynamically adjust firing patterns based on light stimuli and detect exoplanets through variations in light intensity.

关键词： integrate volatile integrating

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Modeling Public Concerns for Unmanned Aerial System Operations in the National Airspace System

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Journal of Air Transportation 2024年第1期32卷 3-11页

作者： Philpott, Robert Winer, Eliot Iowa State University AmesIA50010 United States Department of Aerospace Engineering Human Computer Interaction Program United States Department of Mechanical Engineering Human Computer Interaction Program United States

The Unites States commercial unmanned aerial system (UAS) market was valued at $99.6 million in 2020 and is projected to reach $3.7 billion by 2030. Applications for these commercial UAS range from risk mitigation and surveillance to package delivery. Coupled with these emerging applications are the unique factors that arise with a commercial UAS’s compact size and low-altitude flights among the civilian populace. In this work, a value model was created to attempt to aid in determining the infringement of aUAS operation configuration on a civilian environment. Value functions were developed in an additive model that measures infringement (a UAS’s encroachment or trespass on a right or privilege of a civilian) based on these attributes. The resulting value model was tested by running 100,000 random simulations. Analysis of the simulation results and sensitivity analysis of the model showed that fleet size, proximity, duration of the operation within a certain proximity, and total operation duration were the attributes that drove a UAS operation’s infringement on an environment. A use case of an Amazon delivery application was then examined. This is a realistic scenario simulated to study if duration of an operation and time near a structure are kept to a minimum, the infringement of an operation remained low. This study provides initial determination of how infringement of UAS can be quantified and what infringement values may look like for different operational scenarios. © 2023 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Sensitivity analysis

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Convolutional Neural Network Classification of Coleoptera through Keras and TensorFlow 24

Convolutional Neural Network Classification of Coleoptera th...

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10th International Conference on Computing and Artificial Intelligence, ICCAI 2024

作者： Angelia, Randy Echavez Torres, John Louie B. Cagadas, Cristelle Ann G. Manigo, Annalee Computer Engineering Program College of Engineering Education University of Mindanao Philippines

ISBN: (纸本)9798400717055

An application was developed to address the time-consuming and subjective nature of physical examination and human judgment to classify the diverse families of Coleoptera more efficiently. Specifically focusing on the Coleoptera families in the Philippines, the application utilizes a Convolutional Neural Network (CNN)-based model as its classification architecture. To enhance the accuracy of the CNN model, researchers gathered images of Coleoptera from various families. The program achieves an impressive 94.44% accuracy rate and has demonstrated successful results in classifying Coleoptera families. This application offers a more streamlined and reliable approach to Coleoptera classification, benefiting researchers and enthusiasts. © 2024 ACM.

关键词： Convolutional neural networks

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A Monitoring and Warning System for Hazards in Coal Mines using CNN and Sensor Fusion 5

A Monitoring and Warning System for Hazards in Coal Mines us...

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5th International Conference on Advancements in Computational Sciences, ICACS 2024

作者： Alam, Abeera Farooq Tabassum, Maham Shabbir, Mubaraka Raza, Muhammad Ali Khan, Farhan Habib University Computer Engineering Program Karachi Pakistan Habib University Electrical Engineering Program Karachi Pakistan

ISBN: (纸本)9798350394764

In the realm of coal mining, safety and risk management stand as paramount challenges, underscored by the inherent perils like structural failures and the presence of hazardous gases such as methane. Recognizing the urgent need for enhanced safety measures, this paper introduces a novel system seamlessly integrating structural integrity assessment with gas concentration analysis to ascertain the warning level in coal mines. The core objective revolves around fortifying safety protocols by implementing effective monitoring and early warning systems. This multifaceted approach encompasses addressing potential hazards, preventing accidents, reducing environmental impact, and, above all, safeguarding the well-being of mine workers. The system, intertwining structural monitoring and gas concentration measurement, dynamically generates real-time risk assessments and alerts based on the integrated data. Against the backdrop of these intricate challenges, the research strives to propel substantial advancements in mining safety practices. By harnessing the capabilities of camera imagery, machine learning, and gas sensors, it envisions a future marked by elevated safety standards and a noteworthy reduction in incidents within coal mines. © 2024 IEEE.

关键词： Structural integrity

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Development of an RFID-based Children’s Disaster and Emergency PreparednessDevice 24

Development of an RFID-based Children’s Disaster and Emerge...

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8th International Conference on E-Society, E-Education and E-Technology, ESET 2024

作者： Broas, Pauline Ingrid Derama, Lovely Mae Rosales, Rosban Bacus, John Computer Engineering Program College of Engineering Education University of Mindanao Davao City Philippines

ISBN: (纸本)9798400707094

RFID Technology has grown increasingly popular over recent years due to its efficiency. This study examines the development, implementation, and impact of an RFID-based cognitive learning system focusing on child preparedness in disasters and emergencies. This study aims to design a stand-alone interactive device, fabricate an RFID-based touchscreen interactive device for children, conduct functionality testing on the accuracy of the eLearnCards and responsiveness of the LCD Touchscreen, and evaluate system accuracy and performance on children using a paired T-test. A quantitative research approach is adopted, encompassing the collection and analysis of pre-test and post-test scores from a stratified random sample of 60 children from New Matina Elementary School with an age range of 7-12 years old. The results of this study signify that the RFID-based cognitive learning system substantially contributes to enhancing students’ disaster preparedness knowledge. This study concludes that it underscores the considerable potential of RFID-based educational technology in reinforcing disaster preparedness among children. © 2024 Copyright held by the owner/author(s).

关键词： Disasters

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ESG Investing: A Statistically Valid Approach to Data-Driven Decision Making and the Impact of ESG Factors on Stock Returns and Risk

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IEEE Access 2024年 12卷 69434-69444页

作者： Teja, Kamurthi Ravi Liu, Chuan-Ming National Taipei University of Technology International Program of Electrical Engineering and Computer Science Taipei10608 Taiwan National Taipei University of Technology Department of Computer Science and Information Engineering Taipei10608 Taiwan

This study examines the impact of environmental, social, and governance (ESG) factors on economic investment from a statistical perspective, aiming to develop a tested investment strategy that capitalizes on the connection between ESG factors and financial performance. ESG investing: A statistically valid approach to data-driven decision-making (ESGI-SVADDM) investment strategy is based on a rigorous, statistically valid approach that utilizes data, math, statistics, and data science libraries to drive investment decisions, eliminating the need for personal opinions and subjectivity. The process includes establishing an investment thesis, formulating testable hypotheses (HPS), retrieving and refining relevant data, calculating relevant measures, and testing and validating all hypotheses. The study uses S&P 500 stock data and ESG data from Sustainalytics to test the hypotheses. The empirical tests conducted revealed a negative correlation between ESG risk and expected returns, as well as a positive trend in the relationship between ESG risk and the overall risk of stocks. Moreover, the study found that higher ESG risk scores are associated with lower returns for investors, and that adopting a strategy of investing in stocks with low ESG risk and shorting stocks with high ESG risk yields superior returns compared to the market portfolio. © 2013 IEEE.

关键词： Investments

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Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection 59

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabe...

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59th Annual Conference on Information Sciences and Systems, CISS 2025

作者： Detore, Ian Samsundar, John Davis, Cleon Johns Hopkins University Electrical and Computer Engineering Program BaltimoreMD United States Johns Hopkins University Electrical and Computer Engineering Program LaurelMD United States

ISBN: (纸本)9798331513269

This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder and an equivalent 2D ResNet-Transformer hybrid. This work is among the first to utilize two separate CNN-transformer architectures tailored specifically for temporal and spatial features in multilabel EKG data. Our models address the challenges of imbalanced data and multilabel classification by leveraging the PTB-XL dataset, containing over 21,000 annotated samples across five diagnostic superclasses, namely myocardial infarction, conduction disturbances, hypertrophy, ST-T wave changes, and normal EKGs. We applied advanced data augmentation techniques to mitigate class imbalance, including the Multilabel Synthetic Minority Over-Sampling Technique (ML-SMOTE). Additionally, we employed digital signal processing to denoise the EKG signals and convert time-series data into time-frequency representations for 2D modeling. Experimental results demonstrate the effectiveness of our approach, with the 1D model achieving an area under the curve (AUC) of 91.5% and the 2D model achieving an AUC of 87.2%. These findings demonstrate the potential of specialized architectures for comprehensive multilabel EKG anomaly detection. © 2025 IEEE.

关键词： Anomaly detection

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Design of an Automatic Price Tag System for Web-Based Retail Business 9

Design of an Automatic Price Tag System for Web-Based Retail...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Liawatimena, Suryadiputra Gunawan, Devina Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Computer Science Deparment BINUS Graduate Program Master of Computer Science Jakarta11480 Indonesia Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

Modern retail businesses face a significant challenge with the inefficiency of manually changing price labels on shelves. This manual process not only consumes valuable time and resources but also increases the likelihood of errors, leading to potential inaccuracies in pricing and a less streamlined shopping experience for customers. The proposed solution is the implementation of an Electronic Shelf Label (ESL) system that automatically displays the prices of goods on retail business shelves. This system connects a website (front end and back end) to e-paper via a Wi-Fi network and microcontroller, allowing retail business owners to update prices more easily. Additionally, buyers can search for desired items through the website. The results are the time to send data from the website to the e-paper, namely, to know the performance of the e-paper used. The average time required from 10 attempts to send data from the website to the e-paper is 20.935 seconds. Since the data is connected to the server and will be updated automatically, using this system will be more efficient than manually changing the price label, although it takes time to transfer data from the website to the e-paper. © 2024 IEEE.

关键词： Sales

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Experimental evaluation of MIMO configurations in indoor visible light communications under the consideration of illumination

Optics Continuum

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Optics Continuum 2025年第4期4卷 789-803页

作者： Esteban Farfán-Guillén, David Camporez, Higor Silva, Jair Adriano Lima Castellano Rodriguez, Juan Camilo Pohl, Alexandre De Almeida Prado CPGEI–Graduate Program in Electrical Engineering and Computer Science Federal University of Technology Paraná Curitiba80230–901 Brazil Graduate Program in Electrical Engineering Federal University of Espírito Santo Vitória29075-960 Brazil

Visible light communications (VLC) enable wireless data transmission using existing light-emitting diode (LED) illumination. This experimental study evaluates the performance of multiple input and multiple output (MIMO) configurations in indoor VLC systems by analyzing their impact on both communication and illumination. Various MIMO setups (2 × 2, 3 × 2, and 4 × 2) are compared against single input single output (SISO), and single input multiple outputs (SIMO) schemes, using commercial LED luminaires as transmitters. While the 4 × 2 MIMO configuration demonstrates superior overall performance, intermediate configurations like 3 × 2 or 2 × 2 MIMO offer an attractive trade-off between system complexity and performance enhancement, particularly in scenarios with space or cost constraints. The results show that MIMO configurations significantly outperform SISO systems, achieving reliable communication (BER ≤ 10−3) at practical indoor distances of up to 2 meters while maintaining illumination levels above 300 lux, where conventional SISO setups do not meet these dual requirements. These findings demonstrate the practical feasibility of MIMO-VLC systems for indoor deployments. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Frequency division multiplexing Modulation techniques Multiple input multiple output Quadrature amplitude modulation Signal processing Visible light communications

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