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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Rajeshwarrao Arabelli Eswararao Boddepalli Roobal Yadav Budesh Kanwer Yudi Krisno Wicaksono Joshuva Arockia Dhanraj School of Engineering SR University Warangal Telanagana India Bradely Department of ECE Virginia Tech Blacksburg United States of America CSE-DS G.L. Bajaj Institute Of Technology And Management Greater Noida Poornima Institute of Engineering and Technology Social Science Education Program UIN Sayyid Ali Rahmatullah Tulungagung Indonesia Research and Development Cell Lovely Professional University Jalandhar-Delhi Grand Trunk Road Phagwara Punjab India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

The Internet of Things (IoT) has altered many fields because it combines so entirety. But likely that these instruments are so smooth to hack, it has still created plenty safety worries. To hold Wi-Fi IoT networks cautious, Intrusion Detection and Prevention Systems (IDPS) are very main. They look for and fix safety dents. This research focuses on Machine Learning (ML) systems and looks at the various types of IDPS for Wi-Fi IoT networks. There is plenty research on intrusion detection systems (IDS) over the internet of things (IoT) that is look at in this place study. It displays by virtue of what well differing algorithms, containing neural networks, decision trees, random forests, and Support Vector Machines (SVM), act. It further checks machine learning-based IoT safety models, like Support Vector Clustering (SVC) in addition to convolutional neural networks (CNNs), in consideration of label and stop hacking risks in IoT backgrounds. Reviewing secondary evidence and secondary data is part of the study process. These are used to find the basic IDPS for Wireless IoT Networks styles and questions. This research explains that intrusion detection systems (IDS) are essential for consistency the Internet of Things cautious, what plans established machine learning can help find and stop threats more effectively. This study has plenty useful information for scientists and experts that can help them devise better IDPS remedies for Wireless IoT Networks.

关键词： Wireless communication Support vector machines Machine learning algorithms Prevention and mitigation Computational modeling Intrusion detection Safety Internet of Things IP networks Wireless fidelity

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Open innovation: A technology transfer alternative from universities. A systematic literature review

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Journal of Open Innovation: technology, Market, and Complexity 2023年第3期9卷

作者： Bejarano, José Bestier Padilla Sossa, Jhon Wilder Zartha Ocampo-López, Carlos Ramírez-Carmona, Margarita Program in Electronic Instrumentation Technology Faculty of Basic Sciences and Technologies Universidad del Quindío Armenia 30004 Colombia Doctoral Program in Management of Technology and Innovation at Universidad Pontificia Bolivariana Medellin 050031 Colombia Department of Engineering Faculty of Agro-Industrial Engineering Universidad Pontificia Bolivariana Medellín 050031 Colombia Center of Studies and Research on Biotechnology (CIBIOT) Faculty of Chemical Engineering Universidad Pontificia Bolivariana Medellín 050031 Colombia

This article presents a study that analyzes open innovation and its contribution to technology transfer processes in universities, addressing as key questions: What elements or factors of open innovation contribute to the performance of technology transfer in universities? What could be the role of open innovation in the technology transfer process of universities? The study was conducted from a systematic literature review in the Scopus, Web of Science, ScienceDirect, and SpringerLink databases on 95 peer-reviewed articles selected from the last 20 years. From an exploratory approach, the critical analysis of the state of knowledge permitted the identification of the 36 factors of open innovation contributing to the performance of technology transfer in universities, from knowledge management and innovation, resources, and capabilities, R&D management with universities, and the university-industry relationship. According to the findings and success cases, open innovation from the use of internal and external knowledge boosts R&D+i projects, encouraging universities to keep close relations with actors from regional innovation systems, contributing positively to the performance of technology transfer in institutions and stimulating the commercialization of the developments generated from research. In the future, we propose delving into outbound open innovation, its systematization, contribution, and impact on university technology transfer processes. © 2023 The Authors

关键词： Entrepreneurial university Higher education institutions Knowledge flow Outbound open innovation Research and development technology transfer

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Investigations of the Relationships Between Supervision Types and Man-Hours for Private Construction Projects

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Journal of the Chinese Institute of Civil and Hydraulic engineering 2021年第7期33卷 473-481页

作者： Liu, Wei-Chieh Wang, Kun-Chi Wang, Wei-Chih Program of Engineering Technology and Management National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Civil and Construction Engineering Chaoyang University of Technology Taichung413310 Taiwan Dept. of Civil Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

During the execution process of construction projects, supervision units often encounter sudden changes during the progress of construction. However, because general supervision man-hours are usually arranged in a flat manner, and it is normally without a response mechanism, it easily leads to final cost increases or surplus manpower. Using private projects as cases, this study adopts the concept of accumulated man-hours to establish a model that allows man-hours and construction progress to correspond with each other, so as to facilitate instant responses by the supervision units and manage the distribution of man-hour costs effectively. Finally, this research presents a Supervisory Strategy Model for Man-hours. This research is mainly divided into four parts. The first part defines the role of supervision according to laws, contracts, construction management systems and supervision unit organization. The second part divides types of supervision into four categories of continuous supervision, intermittent- inspection supervision, periodic supervision, and statutory-inspection supervision. The third part applies a case analysis to establish the corresponding relationship of the cumulative man-hours of supervision and the cumulative progress of a project, as well as to integrate the relationship between the man-hours and construction progress of the supervision business by merging the characteristics of the project timeline. The fourth part constructs a reasonable and safe strategy model that allows active control of the cumulative input ratio of man-hours, so as to facilitate the reasonable allocation and supervision of the total man-hours. © 2021, Chinese Institute of Civil and Hydraulic engineering. All right reserved.

关键词： Project management

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An Improved Particle Swarm Approach for Energy-Aware Location-Aided Routing in Mobile Ad-Hoc Network

An Improved Particle Swarm Approach for Energy-Aware Locatio...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Sandeep Kumar Khemraj Sharma P. M. Ashok Kumar Arpit Jain Sukesh Kumar Bhagat Pranita Singh Tula’s institute Dehradun U.K India Department of Business Administration Doctoral Program in Management Sciences Nanhua University Dalin Chiayi R.O.C Department of Computer Science Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India Department of Computer Science & Engineering Uttaranchal University Dehradun Uttarakhand India Department of Computer Science and Engineering Roorkee Institute of Technology Roorkee Uttarakhand India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

A network with no infrastructure, multiple hops, and dispersed nodes called a MANET. Nodes can communicate directly or through intermediaries without the need for permanent infrastructure. In dynamic networks like MANETs, routing procedures enhance the overall appearance of the network by ensuring Quality of Service (QoS). A routing protocol may use a composite routing measure to determine the best path for transferring data. Optimal location-based routing for MANETs based on energy-awareness is presented in this paper. Optimal routes are selected using this fast algorithm. Particle swarm optimization (PSO) is used instead of location-aided routing to select the normal data transmission route. Last but not least, the network is tested by simulating its packet delivery ratio, its energy level, its delay, and its overhead.

关键词： Scalability Transportation Quality of service Routing Particle measurements Routing protocols Real-time systems Delays Security Particle swarm optimization

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Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic

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Scientific Reports 2025年第1期15卷 1-22页

作者： Noureddine, Oulad Naoui Mohamed, Sekkoum El Amine, Cherif Alzaed, Ali Gedfew, Meseret Abeje Ghoneim, Sherif S. M. Hussein, Enas E. Materials Energy Systems Technology and Environment Laboratory Department of Hydraulic and Civil Engineering University Ghardaia Bounoura Algeria Department of Civil Engineering Faculty of Civil Engineering and Architecture Amar Telidji University P. O. Box 37.G Laghouat 03000 Algeria Water Management and Treatment Laboratory University of Science and Technology of Oran Mohamed Boudiaf B.P. 1505 El M’Naouer Oran Algeria Architectural Engineering Program - Civil Engineering Department Faculty of Engineering Taif University Taif 21944 Saudi Arabia Department of Civil Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif 21944 Saudi Arabia Water Management Research Institute National Water Research Center Shubra El-Kheima 13411 Egypt

This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? In this paper, the Bat algorithm (BAT) with the Newton Method (NM), Bird Swarm Algorithm (BSA), Genetic Algorithm (GA), and Chicken Swarm Optimization Algorithm (CSO) are used as a hybrid model in arid and semi-arid zones in Saudi Arabia as well as for modeling rainfall, temperature, and solar radiation implications on evapotranspiration variability. Coupling between aridity and evapotranspiration over a long time can create flooding risks. This holistic modeling aims to reduce flooding risks and ensure the desired decision. Several models were employed to simulate some basins’ Potential and Actual evapotranspiration as case studies. The meteorological inputs of the hybrid models were calibrated and validated with metric evaluation for input and output of evapotranspiration, respectively. The results suggest that the application of a hybrid model can improve the accuracy of evapotranspiration simulations in terms of statistical parameters, whereas BAT–GA–NM reduced MAPE from 38.88 to 4.16% for Mekkah and from 14.94 to 2.04% for Medina and NSCE from − 0.17 to 0.97 for Mekkah and from 0.82 to 0.99%. Those parameters will provide a better understanding of evapotranspiration processes in watersheds and valuable information for early warnings of flooding risks. © The Author(s) 2025.

关键词： Evapotranspiration Hybrid metaheuristic Modeling Rainfall Solar radiation data Temperature

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Design of Optical System of Augmented Reality Near Eye Device

Design of Optical System of Augmented Reality Near Eye Devic...

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Educational Innovation (ECEI), IEEE Eurasian Conference on

作者： Chao-Kai Chang Feng-Ming Yeh Jiann-Hwa Lue Hsuan-Fu Wang Ya-Hui Hsieh Chun-Yu Chiang Der-Chin Chen Chuen-Lin Tien Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan Department of Optometry Taiwan University of Science and Technology Taichung Taiwan Department of Aeronautical Engineering National Formosa University Yunlin Taiwan Department of Healthcare Information and Management Ming Chuan University Taoyuan Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering Feng Chia University Taichung Taiwan

Augmented reality (AR) is a technology that instantly merges digital pictures with the real scene. The perspective near-eye display is a key module of AR, through which computer-generated pictures or videos can be displayed in the existing environment. The purpose of this research is to establish the system structure of an augmented reality near-eye display device and to design the off-axis two-piece reflective aspherical mirror. Because AR glasses are wearable and are worn close to the eyes, not only the optical performance of the display but also the clear vision of the user needs to be considered. In this study, an off-axis two-piece reflective aspherical mirror is used as the optical system of the AR for displaying the digital image. The micro-display is placed at the focal point of the optical system to form a digital image, and the horizontal movement of the micro-display along the optical axis is controlled by a precise displacement mechanism so that the patient with uncorrected myopia or hyperopia can see the digital picture and real scene. Because the right and left micro-displays move horizontally independently, the user can see the images on the AR device, which becomes the biggest feature of this study.

关键词： Performance evaluation Technological innovation Optical design Digital images Optical imaging Optical reflection Augmented reality

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Ant Colony Optimization based Medical Image Preservation and Segmentation

Ant Colony Optimization based Medical Image Preservation and...

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Advanced Technologies in Intelligent Control, Environment, Computing & Communication engineering (ICATIECE), International Conference on

作者： Priya Nandihal Piyush Kumar Pareek Victor Hugo Costa De Albuquerque Madhumala R B Ashish Khanna V Sunil Kumar Dept of Computer Science and Design Dayananda Sagar Academy of Technology and Management Bangalore Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceara Fortaleza Brazil Department of Teleinformatics Engineering Federal University of Ceara Brazil Department of ISE Dayananda Sagar Academy of Technology and Management Bangalore CSE Dept Maharaja Agrasen Institute of Technology GGSIPU Department of Artificial Intelligence & Machine Learning Nitte Meenakshi Institute of Technology Bengaluru

ISBN: (纸本)9781665493970

Image segmentation is an essential component in many different types of computer vision systems. Image segmentation is used in order to identify objects and boundaries within pictures. It is important to note that the success of recognition algorithms is heavily dependent on the quality of the picture segmentation, and there is yet no technique that can universally segment images. Boundary detection has a long history of being recognised as one of the most difficult challenges in the fields of image processing and pattern analysis, in particular, when it comes to applications in medical imaging. The clarity of the picture is being muddled by more information, which is the source of the problem's complexity. The creation of segmentation algorithms for medical pictures is an active field of study, and segmentation algorithms are meant to account for a variety of factors, including noise, intensity inhomogeneity, poor contrast between the lesion and the surrounding skin, and so on. There is currently no active contour model that combines the locally statistical property of being more noise-resistant, in which the intensities in the transformed domain have less overlapping in the statistics, and the locally image fitting property of extracting the local image information in order to be able to segment images with intensity inhomogeneity. This is because there is no such model. So the proposed work includes Ant colony optimization based double threshold segmentation in medical images. Performance of the proposed algorithm is more efficient, reliable and accurate than the existing algorithm. Performance parameters such as segmentation accuracy, error rate, and Dice co-efficient are used in order to conduct the evaluation of the proposed work.

关键词： Integrated optics Image segmentation Ant colony optimization Biomedical optical imaging Optical design Image edge detection Metaheuristics

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Effect of the number of Cyperus rotundus and medium height on the performance of batch-constructed wetland in treating aquaculture effluent

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Chemosphere 2024年 353卷 141595页

作者： Imron, Muhammad Fauzul Hestianingsi, Wa Ode Ayu Putranto, Trisnadi Widyaleksono Catur Citrasari, Nita Abdullah, Siti Rozaimah Sheikh Hasan, Hassimi Abu Kurniawan, Setyo Budi Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Campus C UNAIR Jalan Mulyorejo Surabaya60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft 2628 Netherlands Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Bangi Selangor 43600 Malaysia Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Bangi Selangor 43600 Malaysia Laboratory of Algal Biotechnology Centre Algatech Institute of Microbiology of the Czech Academy of Sciences Opatovický mlýn Novohradská 237 Třeboň379 81 Czech Republic

Increasing aquaculture cultivation produces large quantities of wastewater. If not handled properly, it can have negative impacts on the environment. Constructed wetlands (CWs) are one of the phytoremediation methods that can be applied to treat aquaculture effluent. This research was aimed at determining the performance of Cyperus rotundus in removing COD, BOD, TSS, turbidity, ammonia, nitrate, nitrite, and phosphate from the batch CW system. Treatment was carried out for 30 days with variations in the number of plants (10, 15, and 20) and variations in media height (10, 12, and 14 cm). The result showed that aquaculture effluent contains high levels of organic compounds and nutrients, and C. rotundus can grow and thrive in 100% of aquaculture effluent. Besides that, the use of C. rotundus in CWs with the effect of numbers of plants and media height showed performance of COD, BOD, TSS, turbidity, ammonia, nitrate, nitrite, and phosphate with 70, 79, 90, 96, 64, 82, 92, and 48% of removal efficacy, respectively. There was no negative impact observed on C. rotundus growth after exposure to aquaculture effluent, as indicated by the increase in wet weight, dry weight, and growth rate when compared to the control. Thus, adding aquaculture effluent to CWs planted with C. rotundus supports the growth and development of plants while also performing phytoremediation. © 2024 Elsevier Ltd

关键词： Wetlands

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Deep Learning in Smart Healthcare: A GAN-based Approach for Imbalanced Alzheimer's Disease Classification

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Procedia Computer Science 2024年 241卷 146-153页

作者： Hina Tufail Abdul Ahad Ira Puspitasari Ibraheem Shayea Paulo Jorge Coelho Ivan Miguel Pires Department of Computer Science University of Management and Technology Sialkot Pakistan Information System Study Program Faculty of Science and Technology Universitas Airlangga School of Software Northwestern Polytechnical University Xian Shaanxi P.R. China Department of Electronics and Communication Engineering Istanbul Technical University(ITU) Turkey Polytechnic University of Leiria Leiria Portugal Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra) Coimbra Portugal Instituto de Telecomunicações Escola Superior de Tecnologia e Gestão de Águeda Universidade de Aveiro Águeda Portugal

Alzheimer's disease (AD) is a type of dementia that leads to memory loss and impairment, which afects patients’ lives badly. It is not curable yet, but its progression can be slowed down if detected at earlier stages. In this research study, we propose a transfer learning-based convolutional neural network (CNN) model to classify magnetic resonance imaging (MRI) into one of four stages of Alzheimer's disease. One of the major limitations of the deep learning-based classification model is the non-availability of healthcare datasets related to AD. The widely used Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset has a major class imbalance issue. We propose a generative adversarial network (GAN) based data augmentation technique to overcome the data imbalance. This promotes the investigation of applying GANs to generate synthetic samples for minority classes in Alzheimer's disease datasets to enhance classification performance. The results show the progression in the overall classification process of AD.

关键词： Alzheimer disease (AD) Deep learning Convolutional Neural Network (CNN) Computer-aided diagnosis (CAD)

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A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development

arXiv

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arXiv 2023年

作者： Herrala, Olli Gabriel, Steven A. Oliveira, Fabricio Ekholm, Tommi Aalto University Department of Mathematics and Systems Analysis Espoo Finland University of Maryland Department of Mechanical Engineering/Applied Mathematics Statistics & Scientific Computing Program College ParkMD United States Norwegian University of Science and Technology Department of Industrial Economics and Technology Management Trondheim Norway Finnish Meteorological Institute Helsinki Finland

We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel single-level reformulation for such problems, based on strong duality. To the best of our knowledge, only one alternative single-level reformulation for trilevel problems exists. This reformulation uses a representation of the bottom-level solution set, whereas we propose a reformulation based on strong duality. Our novel reformulation is compared to this existing formulation, discussing both model sizes and computational performance. In particular, we apply this trilevel framework to a power market model, exploring the possibilities of an international policymaker in reducing emissions of the system. Using the proposed methods, we are able to obtain globally optimal solutions for a five-node case study representing the Nordic countries and assess the impact of a carbon tax on the electricity production portfolio. Copyright © 2023, The Authors. All rights reserved.

关键词： Energy resources

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