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Globally Harmonized System Label detection using Color Segmentation 2

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Globally Harmonized System Label detection using Color Segme...

2nd International Conference on Cybernetics and Innovations, ICCI 2023

作者： Pinthong, Thidarat Ketcham, Mahasak Ganokratanaa, Thittaporn Pramkeaw, Patiyuth Chumuang, Narumol Phetchaburi Rajabhat University Department. of Business Information Management Phetchaburi Thailand King Mongkut's University of Technology North Bangkok Department of Information Technology Management Bangkok Thailand King Mongkut's University of Technology Thonburi Applied Computer Science Program Bangkok Thailand King Mongkut's University of Technology Thonburi Media Technology Program Bangkok Thailand Muban Chombueng Rajabhat University Department of Digital Media Technology Ratchaburi Thailand

ISBN: (纸本)9798350336573

This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS. © 2023 IEEE.

关键词： Geographic information systems

Modeling Atomistically Assembled Diffractive Optics in Solids

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arXiv 2024年

作者： Kling, Trevor Na, Dong-Yeop Hosseini, Mahdi Department of Electrical and Computer Engineering Applied Physics Program Northwestern University EvanstonIL60208 United States Department of Electrical Engineering Pohang University of Science and Technology Pohang37673 Korea Republic of Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

We develop a model describing long-range atom-atom interactions in a two-dimensional periodic or a-periodic lattice of optical centers inside a solid-state host material. We consider realistic environmental and technical conditions such as frequency and position broadening. Even when considering a significant frequency broadening in the ensemble (∼300 GHz), we observe up to a three-fold increase in directional scattering from the resonant lattice in a system. The model can be used to scalably design quantum optical elements, e.g. a quantum lens, harnessing atomistic engineering (e.g. via ion implantation) of collective interactions in materials to enhance quantum properties. © 2024, CC BY.

关键词： Nanocrystals

Stochastic Dynamics and Probability Analysis for a Generalized Epidemic Model with Environmental Noise

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arXiv 2024年

作者： Boukanjime, Brahim Maama, Mohamed Laboratory of Mathematical Modeling and Economic Calculations Hassan First University of Settat Morocco Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Saudi Arabia

In this paper we consider a stochastic SEIQR (susceptible-exposed-infected-quarantined-recovered) epidemic model with a generalized incidence function. Using the Lyapunov method, we establish the existence and uniqueness of a global positive solution to the model, ensuring that it remains well-defined over time. Through the application of Young’s inequality and Chebyshev’s inequality, we demonstrate the concepts of stochastic ultimate boundedness and stochastic permanence, providing insights into the long-term behavior of the epidemic dynamics under random perturbations. Furthermore, we derive conditions for stochastic extinction, which describes scenarios where the epidemic may eventually die out, and V-geometric ergodicity, which indicates the rate at which the system’s state converges to its equilibrium. Finally, we perform numerical simulations to verify our theoretical results and assess the model’s behavior under different parameters. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic models

The Influence of Workplace Environment on Employee Turnover at Delmon Poultry Company: Key Insights and Findings

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The Influence of Workplace Environment on Employee Turnover ...

Decision Aid sciences and Application (DASA), International Conference on

作者： Mohammed Abdulrazzaq Alaghbari Ali Ateeq Marwan Milhem Askar Garad Ammar Yusuf Ahmed Yusuf Department of Business Administration College of Administrative Sciences Applied Science University Bahrain Kingdom of Bahrain Administrative Science Department College of Administrative and Financial Science Gulf University Sanad Kingdom of Bahrain Magister Program Universitas Muhammadyiah Yogyakarta Yogyakarta Indonesia Department of Computer Science College of Arts and Science Applied Science University Bahrain Kingdom of Bahrain

ISBN: (数字)9798350369106

ISBN: (纸本)9798350369113

The present study examines how organizational work environments affect employee turnover at Delmon Poultry Company. The researcher used a structured questionnaire and a quantitative approach to collect data from 340 employees. The results show that the organizational work environment has a greater impact on employee attrition than the social environment, accounting for 75.5% of the turnover variance. Although the social environment is substantial, it only accounts for 29.2% of the variance. The research establishes that attrition reduction necessitates the enhancement of organizational factors, including policy impartiality and management practices. In order to offer a more comprehensive understanding of attrition dynamics, future research should investigate these relationships across various industries and over time. The study contributes to the literature by emphasizing the significance of a supportive organizational environment for employee retention and providing practical recommendations for human resource management to improve employee retention strategies.

关键词： Industries Employment Companies Resource management

Sensing beyond the exceptional point for high detectivity

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arXiv 2024年

作者： Li, Zhichao Prasad, Ciril S. Wang, Xielin Zhang, Ding Naik, Gururaj V. Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Applied Physics Program Rice University HoustonTX77005 United States Department of Physics and Astronomy Rice University HoustonTX77005 United States

Exceptional point (EP)-based optical sensors exhibit exceptional sensitivity but poor detectivity due to their acute sensitivity to perturbations such as noise. When the optical budget is limited as in applications on mobile platforms, high detectivity might be equally important as high sensitivity. In such scenarios, off-EP sensing is advantageous where a slight loss in sensitivity can lead to a significant gain in detectivity. Here, we show that a passive parity-time symmetric plasmonic-photonic hybrid shows a peak in its detectivity off EP where the sensitivity is still very high – surpassing the sensitivities of equivalent fully-plasmonic and fully-photonic systems. We demonstrate the high detectivity of off-EP sensing of anti-mouse IgG protein using this plasmonic-photonic hybrid system. We report a sensitivity of 1.2 nm/nM while requiring a minimum optical budget of 1.3 nJ. Thus, non-Hermitian plasmonic-photonic hybrids could be the best class of nanophotonic sensors for real-world applications. Copyright © 2024, The Authors. All rights reserved.

关键词： Budget control

Electron Ptychography for Investigating Magnetic Textures in Micro- and Nano- Scale Magnets via Lorentz Transmission Electron Microscopy

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Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 1847-1848页

作者： Trujillo, Kayna L Mendoza Divan, Ralu N S Li, Yue Jiang, Yi McCray, Arthur R C Petford-Long, Amanda K. Phatak, Charudatta Department of Materials Science and Engineering Northwestern University Evanston IL United States Materials Science Division Argonne National Laboratory Lemont IL United States Center for Nanoscale Materials Argonne National Laboratory Lemont IL United States Advanced Photon Source Argonne National Laboratory Lemont IL United States Applied Physics Program Northwestern University Evanston IL United States

Smart Agricultural Greenhouses for Earthworm Farming 2

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Smart Agricultural Greenhouses for Earthworm Farming

2nd International Conference on Cybernetics and Innovations, ICCI 2023

ISBN: (纸本)9798350336573

In this research, the design of the earthworm rearing house was presented. Internet of Things, in which the research has designed houses and various equipment to be designed. The results showed that the traditional way of raising earthworms by walking to check the humidity in the cultured basin by touching and regularly watering compared to using the IOT system to measure the moisture. And there is a notification when the humidity drops below or above the specified threshold. and has an automatic watering system when the humidity is below a specified threshold It was found that the IOT-based method was more productive than the traditional method. © 2023 IEEE.

关键词： Greenhouses

REPRESENTATION SHATTERING IN TRANSFORMERS: A SYNTHETIC STUDY WITH KNOWLEDGE EDITING

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arXiv 2024年

作者： Nishi, Kento Okawa, Maya Ramesh, Rahul Khona, Mikail Tanaka, Hidenori Lubana, Ekdeep Singh CBS-NTT Program in Physics of Intelligence Harvard University United States Computer and Information Science University of Pennsylvania United States Department of Physics Massachusetts Institute of Technology United States Physics and Informatics Lab NTT Research Inc United States

Knowledge Editing (KE) algorithms alter models’ weights to perform targeted updates to incorrect, outdated, or otherwise unwanted factual associations. To better identify the possibilities and limitations of these approaches, recent work has shown that applying KE can adversely affect models’ factual recall accuracy and diminish their general reasoning abilities. While these studies give broad insights into the potential harms of KE algorithms, e.g., via performance evaluations on benchmarks, we argue little is understood as to why such destructive failures occur. Is it possible KE methods distort representations of concepts beyond the targeted fact, hence hampering abilities at broad? If so, what is the extent of this distortion? Motivated by such questions, we define a novel synthetic task wherein a Transformer is trained from scratch to internalize a "structured" knowledge graph. The structure enforces relationships between entities of the graph, such that editing a factual association has "trickling effects" on other entities in the graph (e.g., altering X’s parent is Y to Z affects who X’s siblings’ parent is). Through evaluations of edited models and analysis of extracted representations, we show that KE inadvertently affects representations of entities beyond the targeted one, distorting relevant structures that allow a model to infer unseen knowledge about an entity. We call this phenomenon representation shattering and demonstrate that it results in degradation of factual recall and reasoning performance more broadly. To corroborate our findings in a more naturalistic setup, we perform preliminary experiments with pre-trained Llama and Mamba models, reproducing the representation shattering effect therein as well. Overall, our work yields a precise mechanistic hypothesis to explain why KE has adverse effects on model abilities. Copyright © 2024, The Authors. All rights reserved.

关键词： Knowledge graph

Developer-Centric Task Allocation: An Intelligent Approach for Enhanced Software Productivity

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Developer-Centric Task Allocation: An Intelligent Approach f...

International Conference on Information, Intelligence, Systems and Applications (IISA)

作者： Evandro L. R. Fensterseifer Filho Joaquim V. C. Assunção Lisandra M. Fontoura Graduate Program in Computer Science Federal University of Santa Maria - UFSM Santa Maria – RS Brazil Applied Computing Department Federal University of Santa Maria - UFSM Santa Maria – RS Brazil

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

Software projects are affected by technical knowledge as well as the personality of the team. Such factors can reduce or increase the software quality and development speed. For successful task allocation, it is essential to consider the skills and profile of each developer, thus maximizing their productivity. In projects with large teams, task allocation can be challenging, and the help of tools can facilitate its execution. In this work, we propose an intelligent approach for allocating software development tasks suitable to the profile of developers. From the literature, we define the appropriate skills and technical profiles for a development team, and the assessment is based on the developer completing a questionnaire. We developed a recommendation system to suggest tasks to be allocated to developers, employing text processing techniques. For validation, 495 tasks were used from an actual project developing simulator software for military training. The recommended allocations were evaluated by the project developers and used to improve the system. Validations showed that the developed approach makes consistent and coherent task recommendations to developers according to the developer profile, as participants agree with the recommendation for 76% of tasks.

关键词： Training Productivity Databases Mathematical models Classification algorithms Resource management Data mining Recommender systems Text processing Software development management