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2022 International Conference on Machine Learning and Data Engineering, ICMLDE 2022

作者： Bedi, Pradeep Goyal, S.B. Rajawat, Anand Singh Bhaladhare, Pawan Aggarwal, Alok Prasad, Ajay Computer Science and Engineering Galgotias University India Faculty of Information Technology City University Malaysia School of Computer Science and Engineering Sandip University Nashik India School of Computer Science University of Petroleum and Energy Studies Dehradun India

From the perspective of the Industry 4.0 paradigm, the machine learning (ML) discipline has had a significant influence on the manufacturing sector. The industry 4.0 concept promotes intelligent sensors, gadgets, and equipment to create technology infrastructure sectors that collect information constantly. By analyzing the obtained data, machine learning approaches allow actionable insight to boost industrial productivity without dramatically altering the necessary resources. Furthermore, the capacity of machine learning applications to provide actionable analytics has facilitated the detection of complex manufacturing trends and paved the path for an integrated intelligent process in various activities in the supply chain, including smart and constant inspection, preventative maintenance, quality enhancement, process optimization, supply chain advancement, and workflow scheduling. This paper aims to present recent advances in the field of quality inspection in Industry 4.0 and develop a framework for quality inspection that can be fully utilized in the Industry 4.0 context using adaptive bilateral filtering and Feature Correlated Auto encoder (FCA) machine learning technique. The suggested approach makes full use of information from all sources along the manufacturing chain. Therefore, it complies with quality management standards within the context of Industry 4.0. The suggested model makes use of corrective measures based on data patterns discovered through predictive analysis. Result analysis was shown on some pre-trained deep learning models such as ResNet18, Vgg19, Alexnet, Squeezenet, auto encoder, and FCA and observed that the proposed FCA(Feature Correlated Auto encoder) achieved a better result. © 2022 Elsevier B.V.. All rights reserved.

关键词： computer vision

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Shape descriptor based on invariant generalised ridgelet transform for M × N images

Shape descriptor based on invariant generalised ridgelet tra...

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7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010

作者： Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan Doraisamy, Shyamala Department of Multimedia Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan Malaysia

ISBN: (纸本)9780889868236

Ridgelet transform has gained its popularity due to its capability in dealing with line singularities effectively at several levels of detail. This paper presents a novel approach for describing shapes based on Ridgelet transform. We propose a new implementation of the transformation called Invariant Generalised Ridgelet transform, which is invariant to rotation, scaling, and translation (RST) as well as able to handle images of arbitrary size. We introduce the implementation of Ridgelet transform on the ellipse containing the shape and the normalisation of the Radon transform. The 1D Wavelet transform is then applied to the Radon slices. In order to extract rotation invariant feature, Fourier transform is implemented in the Ridgelet domain. We test the new method on a standard MPEG-7 CE-1 B dataset in terms of precision and recall. From the experiments, it is shown that retrieval effectiveness has been significantly improved by 83.12%.

关键词： Wavelet transforms

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Advanced DHCP Strategies for Seamless Inter-Campus Connectivity in Educational Networks 8

Advanced DHCP Strategies for Seamless Inter-Campus Connectiv...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Patadia, Chintan Patel, Akash Gandhi, Moksha Patel, Sachin Jagadeesh, Namratha Thirupatthi, Thanesh Nagarajan Lakehead University Computer Science Thunder Bay Canada Charotar University of Science and Technology Devang Patel Institute of Advanced Technology and Research Faculty of Technlogy and Engineering Department of Information and Technology Changa India

ISBN: (纸本)9798350376425

In today's educational landscape, resource sharing across different sites is crucial. This research study explores the implementation of Dynamic Host Configuration Protocol (DHCP) relay agents to enhance inter-campus connectivity in a large educational institution. By strategically placing and configuring DHCP relay agents, the study demonstrates their effectiveness in facilitating communication across dispersed network segments. This improves data transfer efficiency and reduces latency, enhancing overall network performance. This research study provides valuable insights for network administrators and stakeholders, offering practical guidance on configuring DHCP relay agents and optimizing network architecture. By implementing these recommendations, educational institutions can establish a scalable, reliable, and user-friendly network infrastructure. © 2024 IEEE.

关键词： Internet protocols

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Analyzing the Cognitive Level of Classroom Questions Using Machine Learning Techniques

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Procedia - Social and Behavioral sciences 2013年 97卷 587-595页

作者： Anwar Ali Yahya Addin Osman Ahmad Taleb Ahmed Abdu Alattab Faculty of Computer Science and Information Systems Najran University Najran KSA Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

Questioning is widely acknowledged as an effective instructional strategy used by teachers in their interaction with students for variety of purposes. In educational practices, the analysis of classroom questions asked by teachers is of particular benefits. This paper investigates the effectiveness of machine learning techniques on analyzing teacher's classroom questions by automatically classifying them into different cognitive levels identified in Bloom's taxonomy. More specifically, this paper reports on three of the most effective machine learning techniques for text classification: k-Nearest Neighbors, Naïve Bayes, and Support Vector Machine using term frequency as a term selection approach. In doing so, a dataset of questions has been collected and classified manually into Bloom's cognitive levels. Preprocessing steps have been applied to convert questions into a representation suitable for machine learning techniques. Using this dataset, the performance of the three machine learning techniques has been evaluated. The results show a comparable performance of k-Nearest Neighbor and Naïve Bayes and a superior performance of Support Vector Machine in term of F1 and accuracy. Moreover the results also indicate that machine learning techniques show different levels of sensitivity to the number of terms used for question representation.

关键词： Questions analysis Machine learning Text classification Bloom's taxonomy

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Predicting the Specific Gravity of Must During Fermentation Using Machine Learning Models 32nd

Predicting the Specific Gravity of Must During Fermentation ...

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32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Kovačević, Ivana Orić, Mihaela Tolić, Ivana Hartmann Nyarko, Emmanuel Karlo Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia Kneza Trpimira 2B Osijek31000 Croatia

ISBN: (纸本)9783031514937

In this article, the process of fermentation in winemaking is investigated. The authors analyze fermentation data and propose several machine learning models to assess the effectiveness of ongoing fermentation processes based on measurements of specific gravity and temperature. To evaluate the performance of each model, various metrics such as R-squared, Mean Squared Error, Root Mean Squared Error, and Maximum Absolute Error are employed. The results suggest that the models have the potential to predict fermentation outcomes in winemaking and provide winemakers with a valuable tool to optimize the process and ensure high-quality wine production. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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Convergence of vectors in paired comparison-based interactive differential evolution for creating scent

Convergence of vectors in paired comparison-based interactiv...

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5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010

作者： Fukumoto, Makoto Imamura, Yusuke Inoue, Makoto Imai, Jun-Ichi Faculty of Information Engineering Fukuoka Institute of Technology Fukuoka Japan Architect Office Optima Design Fukuoka Japan Graduate School of Engineering Fukuoka Institute of Technology Fukuoka Japan Faculty of Information and Computer Science Chiba Institute of Technology Narashino Japan

ISBN: (纸本)9780769542379

Creation of scent suited to each user will contribute for more efficient aromatherapy and use of scent in daily life. We have already proposed Interactive Differential Evolution (IDE) that creates user scent and have demonstrated the evolution of scent. In the proposed method, simple paired comparison between two scents was corresponded to comparison between target and trial vectors in general Differential Evolution (DE). However, detail observation of DE's vector in the proposed method was not performed. This study investigated change and convergence of DE vectors in the proposed method. The investigation will contribute to develop more effective algorithm of IDE. © 2010 IEEE.

关键词： Vectors

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computer Network Design for Office Building Environment 32nd

Computer Network Design for Office Building Environment

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32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Blažević, Damir Keser, Tomislav Mance, Matko Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2B Osijek Croatia

ISBN: (纸本)9783031514937

This paper presents an example of designing a computer network for a business building. When creating the project documentation, care was taken to ensure that it complies with current standards and the Rulebook on technical conditions for the electronic communication network of commercial and residential buildings. The technical description explains what structured cabling is, describes the importance of following its rules and standards, and defines the ways of marking all the equipment used in the creation of this computer network. Furthermore, an overview of all equipment with its characteristics is presented in detail. The logical scheme defines the so-called vertical network, i.e., the backbone, that is, it shows how each individual part of the active equipment inside the building is connected, how the communication cabinets are connected between the floors, and how the network switches and routers inside the communication cabinets are connected to each other. For each socket and cable, a unique label is defined, this creates a horizontal office network. This is the main part of structured cabling, where the precise definition of each individual part of the computer network provides the basis for safe and stable network operation, the possibility of easy upgrades in the future, and the elimination of possible difficulties that may arise. Application of the quality of service (QoS) on the network will be considered is the and recommendations given to avoid undesirable congestion during the flow of data by properly planning the QoS rules, such as packet marking and traffic shaping. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Quality of service

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Exploring and comparing learner's perception and readiness for electronic/Mobile learning at colleges in Saudi Arabia

Exploring and comparing learner's perception and readiness f...

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IADIS International Conference on information Systems 2011, IS 2011

作者： Baloch, Hasnain Zafar AL-Malaise Al-Ghamdi, Abdullah Saad Rahman, Azizah Abdul Ahad, Noorminshah A. Department of Computing and Information Technology Jeddah Community College King Abdulaziz University Jeddah Saudi Arabia Department of IS Faculty of Computer Science and Information Systems University of Technology Malaysia Johor Malaysia

ISBN: (纸本)9789728939472

Mobile learning (M- learning) which is now very popular with the high rate of access to smart devices among the Arab students is extended form of Electronic learning (E-learning). Mobile and wireless learning enable instructors to develop new type of contents and allow students to have multi channel access to these contents. Institutions are now exploring the way to push the content to smart, mobile handheld devices which are getting common among the university and college students. This study examines the college students' perceptions and readiness for E/M-learning at Colleges of public university and private university in Saudi Arabia. This research measure and compare the preparedness and readiness level of the students and lecturers for the introduction of E/M-learning at the Colleges of Saudi Arabia. Structured questionnaire were used to get response from 116 subjects of both students and lecturer. Initial findings revealed that M/E-learning training and E/M-learning confidence were statistically significant predictors of both e-learning adoption and e-learning readiness. The results showed two strong factors influences 1) Support from the management and 2) E/Mlearning training on both E/M-learning adoption and E-learning readiness. Results show that the students and academics are ready to implement M/E-learning. Private sectors students and intuition have high score of readiness. Also this research is based on basic hypothesis that students are more efficient as compare to staff with M/E learning because of their adoption to smart devices and collaboration among themselves using ICT. © 2011 IADIS.

关键词： Students

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A Blockchain Based Distributed Vehicular Network Architecture for Smart Cities

A Blockchain Based Distributed Vehicular Network Architectur...

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Workshops of the 34th International Conference on Advanced information Networking and Applications, WAINA 2020

作者： Rehman, Mubariz Khan, Zahoor Ali Javed, Muhammad Umar Iftikhar, Muhammad Zohaib Majeed, Usman Bux, Imam Javaid, Nadeem COMSATS University Islamabad Islamabad Pakistan Faculty of Computer Information Science Higher Colleges of Technology Fujairah4114 United Arab Emirates

ISBN: (纸本)9783030440374

In this paper, we propose a blockchain-based data sharing mechanism for Vehicular Network. We introduce edge service providers placed near to ordinary vehicle nodes to fulfill their requests. Smart vehicles generate a huge amount of data which is stored in the Interplanetary File System (IPFS). IPFS is a distributed file storage system that overcomes the limitations of centralized architecture. Monetary incentive is given to edge vehicle nodes for providing services to ordinary nodes. Ordinary nodes give reviews against services provided by the edge nodes that are stored in a blockchain. A smart contract is used to automate system processes without third party involvement and checking reviews of the edge node. To optimize gas consumption, we used Proof of Authority (PoA) as a consensus mechanism for transaction validation. PoA enhances overall system performance and optimized gas consumption. The caching server is introduced to store frequently used services in memory and provided to ordinary vehicles upon request. Moreover, we have used symmetric key cryptographic mechanism which ensures data security and privacy. A trust management system is proposed, which ensures the reputation of nodes. The trust value is stored in a blockchain, which determines the authenticity of nodes involved in a network. From simulation results, it is shown that our proposed system is efficient for the vehicular network. © 2020, Springer Nature Switzerland AG.

关键词： Blockchain

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Tool for Game Plot Line Visualization for Designers, Testers and Players 1

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20th International Conference on Cooperative Design, Visualization and Engineering, CDVE 2023

作者： Nowak, Leszek Grabska-Gradzińska, Iwona Palacz, Wojciech Grabska, Ewa Guzik, Maria Department of Information Technologies Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow Poland Department of Games Technology Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow Poland Department of Design and Computer Graphics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow Poland

ISBN: (数字)9783031438158

ISBN: (纸本)9783031438141

This paper presents a tool for automatic and interactive visualization of game plots, which can be used to check whether the designers’ work meets the constraints of the world, to help testers control played game story paths. The referential designers’ game plots can be imported from any flowchart diagrams as an XML file and the actual gameplay variant is generated on the fly and applied to the original design based on detected common diagram points. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Visualization

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