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4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022

作者： Anaam, Asaad Al-Masni, Mohammed A. Gofuku, Akio Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama Japan Yonsei University Department of Electrical and Electronic Engineering Seoul Korea Republic of

ISBN: (纸本)9781665419048

This paper proposes a framework for oversampling the minority mitotic patterns of the HEp-2 cell images. The classification of mitotic vs. non-mitotic (interphase) cell patterns is important for validating the Indirect Immunofluorescence on Human Epithelial Type-2 cell-substrate (IIF HEp-2) protocol, which is the "gold standard"test for diagnosing autoimmune diseases. Typically, the mitotic cells appear in the HEp-2 specimen image in a significantly less number than the interphases. This causes difficulty in adopting deep learning approaches to classify mitotic vs. interphase patterns with such high imbalanced data. This work suggests using One-Dimensional Deep Convolutional Generative Adversarial Networks (1D-DCGAN) for oversampling the minority mitotic patterns in the feature space of the Deep Cross Residual Network (DCRNet) to cope with the data skewness problem. The results demonstrated that the proposed approach improves the classification performance over the UQ-SNP I3A Task-3 mitotic cell dataset with the advantage of using an end-to-end CNN classifier. © 2022 IEEE.

关键词： Generative adversarial networks

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Assessment of Dynamic Photovoltaic Shading systems on Energy Performance of Commercial Buildings

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Journal of engineering for Sustainable Buildings and Cities 2022年第4期3卷 041003页

作者： Alwelayti, Dana Dehwah, Ammar H.A. Krarti, Moncef Building Systems Program Civil Environmental and Architectural Engineering Department University of Colorado Boulder 80309 CO United States

In this paper, the energy benefits of dynamic photovoltaic (PV)-integrated overhang systems are evaluated for office buildings. The benefits of dynamic PV-integrated overhangs combined energy efficiency by decreasing both heating and cooling energy demand and on-site renewable power generation by deploying tracking PV panels. The energy performance of dynamic PV-integrated overhangs is considered for various design and operation conditions. Specifically, the impacts of various design features are considered such as overhang depth, window size, glazing type, and heating, ventilation, and air conditioning (HVAC) system type. Moreover, the effects of operating conditions are assessed including the location of the building and the control strategy of the dynamic PV-integrated systems such as load-tracking, demand-tracking, and PV-tracking. The results of the various analyses indicate that the heating and cooling energy demands of the dynamic overhangs are mostly affected by the window glazing type and window overhang depths. The analysis shows that the use of demand-tracking maximizes the energy performance of the dynamic PV-integrated overhangs when deployed to US office buildings. Copyright © 2022 by ASME.

关键词： commercial buildings dynamic shading energy efficiency optimal controls PV-integrated overhangs windows

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Determination of the Factors Influencing the Response Efficacy of Filipinos Under Typhoon Conson 2021 (Jolina)

Determination of the Factors Influencing the Response Effica...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Prasetyo, Yogi Tri Benito, Omar Paolo Liao, Jui-Hao Ismail, Nagib Gumasing, Ma. Janice J. Persada, Satria Fadil Nadlifatin, Reny International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapüa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

The Philippines is a country prone to natural disasters, such as typhoons. The present study aimed to investigate the response efficacy of the Filipino population under Typhoon Conson 2021, also known as Typhoon Jolina. A stepwise multiple linear regression was utilized to assess a variety of latent variables in the Protection Motivation Theory, such as perceived severity, self-efficacy, response efficacy, and response cost, along with an additional latent variable, geographical perspective. A sum of 388 participants voluntarily participated in a self-administered survey that consisted of 50 questions. It was found that the independent variables, such as geographical perspective, perceived severity, and self-efficacy were proven to have predictive ability on the dependent variable, response efficacy. The findings of this study could serve as a valuable guideline for planners and future researchers seeking to improve preparedness and response efficacy for typhoons. Furthermore, this study can also be employed by local government authorities to establish policies and strategies aimed at natural disaster risk protection. © 2023 IEEE.

关键词： Natural disaster protection motivation theory response efficacy stepwise multiple linear regression typhoon

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Text2PointCloud: Text-Driven Stylization for Sparse PointCloud

Text2PointCloud: Text-Driven Stylization for Sparse PointClo...

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44th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2023

作者： Hwang, Inwoo Kim, Hyeonwoo Lim, Donggeun Park, Inbum Kim, Young Min Seoul National University Department of Electrical and Computer Engineering Korea Republic of Seoul National University Interdisciplinary Program in Artificial Intelligence and INMC Korea Republic of

ISBN: (纸本)9783038682097

We present Text2PointCloud, a method to process sparse, noisy point cloud input and generate high-quality stylized output. Given point cloud data, our iterative pipeline stylizes and deforms points guided by a text description and gradually densifies the point cloud. As our framework utilizes the existing resources of image and text embedding, it does not require dedicated 3D datasets with high-quality textures, which are produced by skillful artists or high-resolution colored 3D models. Also, since we represent 3D shapes as a point cloud, we can visualize fine-grained geometric variations with a complex topology such as flowers or fire. To the best of our knowledge, it is the first approach for directly stylizing the uncolored, sparse point cloud input without converting it into a mesh or implicit representation, which might fail to express the original information in the measurements, especially when the object exhibits complex topology. © 2023 Authors.

关键词： Textures

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Classification of Images Based on a System of Hierarchical Features

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Computers, Materials & Continua 2022年第7期72卷 1785-1797页

作者： Yousef Ibrahim Daradkeh Volodymyr Gorokhovatskyi Iryna Tvoroshenko Mujahed Al-Dhaifallah Department of Computer Engineering and Networks College of Engineering at Wadi AddawasirPrince Sattam Bin Abdulaziz UniversityAl-Kharj11991Saudi Arabia Department of Informatics Kharkiv National University of Radio ElectronicsKharkiv61166Ukraine Control and Instrumentation Engineering Department and Interdisciplinary Research Center(IRC)for Renewable Energy and Power SystemsKing Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The results of the development of the new fast-speed method of classification images using a structural approach are *** method is based on the system of hierarchical features,based on the bitwise data distribution for the set of descriptors of image *** article also proposes the use of the spatial data processing apparatus,which simplifies and accelerates the classification *** have shown that the time of calculation of the relevance for two descriptions according to their distributions is about 1000 times less than for the traditional voting procedure,for which the sets of descriptors are *** introduction of the system of hierarchical features allows to further reduce the calculation time by 2–3 times while ensuring high efficiency of *** noise immunity of the method to additive noise has been experimentally *** to the results of the research,the marginal degree of the hierarchy of features for reliable classification with the standard deviation of noise less than 30 is the 8-bit *** costs increase proportionally with decreasing bit *** method can be used for application tasks where object identification time is critical.

关键词： Bitwise distribution computer vision descriptor hierarchical representation image classification keypoint noise immunity processing speed

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Developing a Floating Robot for Mechanical Control of Water Hyacinth 3

Developing a Floating Robot for Mechanical Control of Water ...

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3rd International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2023

作者： Elsayed, Mostafa E.A. Mohamed, Ahmed K.A. Shaaban, Mahmoud Abdelrahman, Mohamed A. Ahmed, Mohamed E. A. E. Rashed, Mostafa R. Benha University Automation and Energy Technology Lab. Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt Benha University Agricultural Power and Machinery Faculty of Agriculture Department of Agricultural Engineering Kalubia Egypt School of Engineering and Applied Sciences Nile University Smart Engineering Systems Center Mechanical Engineering Program Giza Egypt Benha University Combustion and Energy Technology Lab. Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt Benha University Shoubra Faculty of Engineering Mechanical Engineering Department Cairo Egypt University for Technology and Information Faculty of Engineering Modern Mechanical Engineering Department Cairo Egypt

ISBN: (纸本)9798350306231

Water hyacinth has become widespread in freshwater bodies in several countries, leading to various issues, particularly its substantial water consumption and the resulting need to control its growth. Among the different methods of controlling water hyacinth, mechanical control stands out as the most effective and environmentally friendly approach. A proposed harvester robot has been developed, capable of efficiently cutting and collecting water hyacinth from the water's surface. The robot boasts several advantages, including its ability to operate in narrow water paths and lakes, use clean energy sources to preserve the water ecology, employ a GPS module for safety and error detection, and generate maps for evaluating work and predicting annual growth. When compared to other technologies dealing with water hyacinth, this innovative water hyacinth harvesting robot presents a significantly lower cost of 0.01 /kg, making it an optimal solution for addressing water hyacinth problems. © 2023 IEEE.

关键词： Weed control

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Optical tunable differentiator based on microring resonator assisted by low-loss superlattice phase change material 2

Optical tunable differentiator based on microring resonator ...

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2nd International Conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Wu, Ziqi Dong, Yida Zhong, Wentao Shen, Mei Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China 518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents a novel microring resonator (MRR)-based all-optical tunable temporal differentiator. By modulating the crystallinity of the ZnS-SiO2/Ge2Sb2Te5 (GST-SL) phase change material (PCM), the coupling regime of the MRR can be precisely adjusted, achieving a differentiation order (α) range of 0.7-1.3. Experimental validation with non-return-to-zero (NRZ) and return-to-zero (RZ) signal types demonstrates a strong alignment with theoretical models, maintaining an error margin below 7.3%, which confirms the device's high adjustability and stability. The proposed tuning mechanism enables low-energy, high-speed optical control of MRR states, contributing to optimized chip area and power consumption. Supported by the unique characteristics of the superlattice structure, this all-optical tunable differentiator offers promising potential for large-scale AI-driven photonic integrated circuits, particularly in applications such as optical analog computing, optical image processing, and optical neural networks. © 2025 SPIE.

关键词： Photonic integrated circuits

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Safe Receding Horizon Motion Planning with Infinitesimal Update Interval

Safe Receding Horizon Motion Planning with Infinitesimal Upd...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Inkyu Jang Sunwoo Hwang Jeonghyun Byun H. Jin Kim Department of Aerospace Engineering and Automation and Systems Research Institute (ASRI) Seoul National University Seoul Korea Department of Aerospace Engineering and Interdisciplinary Program in Artificial Intelligence (IPAI) Seoul National University Seoul Korea

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Safety verification in motion planning is known to be computationally burdensome, despite its importance in robotics. In this paper, we investigate the behavior of safe receding horizon motion planners when the update interval becomes infinitesimal. By requiring the trajectory parameters to evolve continuously in time, the trajectory optimization problem is reformulated into a time-derivative form, whose decision variables are their rate of change. This results in a quadratic programming problem which directly provides safe input, and can be regarded as a real-time safety filter. The input expressivity is also enhanced by leveraging the differentiable structure of the parameter space. The proposed safety filter is experimentally validated using a wheeled ground robot in obstacle-cluttered environments. The result shows that the safety filter is capable of generating safe inputs in real-time, while addressing hundreds of constraints simultaneously.

关键词： Uncertainty Computational modeling Real-time systems Libraries Safety Planning Numerical models

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Three-Dimensional Dead-Reckoning Using Lie Theory

Three-Dimensional Dead-Reckoning Using Lie Theory

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International Conference on Control, Automation and systems ( ICCAS)

作者： Da Bin Jeong Nak Yong Ko Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Graduate School Chosun University Gwangju Republic of Korea Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Gwangju Republic of Korea

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

This paper proposes a Dead-reckoning (DR) method for vehicles using Lie theory. This approach treats the pose (position and attitude) and velocity of the vehicle as elements of the Lie group SE 2 (3) and follows computations based on Lie theory. Previously widely used DR methods suffer from cumulative errors over time due to inaccuracies in the calculated changes from velocity during the motion of the vehicle or small errors in modeling assumptions. By treating the pose and velocity of the vehicle as elements of the Lie group, the proposed method allows for accurate solutions without errors introduced by linearization. Experimental results confirm that the proposed method improves the accuracy of DR, particularly as the motion prediction time interval of the vehicle increases.

关键词： Accuracy Dead reckoning Uncertainty Filters Pose estimation Linear approximation Lie groups Prediction algorithms Control systems Standards

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Mining the Sentiment of Online Gaming from Social-Media: A Consumer Insight 7

Mining the Sentiment of Online Gaming from Social-Media: A C...

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7th Information systems International Conference, ISICO 2023

作者： Nadlifatin, Reny Persada, Satria Fadil Gunawan, Gilbert Aldrich Prasetyo, Yogi Tri Young, Michael Nayat Perwira Redi, Anak Agung Ngurah Lukiyanto, Kukuh Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia School of Industrial Engineering and Engineering & Management Mapua University 658 Muralla St. Intramuros Manila1102 Philippines Industrial Engineering Department Faculty of Engineering and Technology Sampoerna University Jakarta12780 Indonesia

The gaming industry has changed since advanced technologies and hardware specifications were able to create the possibility of gaming with connective network or known as online gaming. Some communities are accepting positively, and others are contradicted. Thus, there is an urgency to know the insight from their sentiment. The present research extracts 10 thousand sentiments at social media with sentiment text analysis. The text is interpreted into six based emotions namely anger, disgust, fear, joy, sadness, and surprise. The mining analysis by lexicon valance aware dictionary and sentiment reasoner (VADER) projects the Joy emotions as the domination result with 94.74%. Positive joy expression on online gaming is revealed by extracting the sentiment analysis. In total, ten thousand data were collected from the corpus, which resulted in the happy sentiments that were experienced. © 2023 The Authors. Published by Elsevier B.V.

关键词： Sentiment analysis

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