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545 results on '"Chen, Chin-Ling"'

13. FreeSee: A Parameter-Independent Pattern-Based Device-Free Human Behaviour Sensing System with Wireless Signals of IoT Devices

Author

Sun, Hongyu, Zhang, Xinyu, Lu, Yang, Chen, Chin-Ling, Song, Xinyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Li, Bohan, editor, Yue, Lin, editor, Jiang, Jing, editor, Chen, Weitong, editor, Li, Xue, editor, Long, Guodong, editor, Fang, Fei, editor, and Yu, Han, editor

Published
2022
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14. An Early Detection of Distributed Denial of Service Attack

Author

Chen, Chin-Ling, Chen, Chieh-Min, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gandhi, Tapan Kumar, editor, Konar, Debanjan, editor, Sen, Biswaraj, editor, and Sharma, Kalpana, editor

Published
2022
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18. Fitness Sharing Chaotic Particle Swarm Optimization (FSCPSO): A Metaheuristic Approach for Allocating Dynamic Virtual Machine (VM) in Fog Computing Architecture.

Author

Ranganna, Prasanna Kumar Kannughatta, Matt, Siddesh Gaddadevara, Chen, Chin-Ling, Jayachandra, Ananda Babu, and Deng, Yong-Yuan

Subjects
PARTICLE swarm optimization, OPTIMIZATION algorithms, VIRTUAL machine systems, METAHEURISTIC algorithms, PRODUCTION scheduling
Abstract

In recent decades, fog computing has played a vital role in executing parallel computational tasks, specifically, scientific workflow tasks. In cloud data centers, fog computing takes more time to run workflow applications. Therefore, it is essential to develop effective models for Virtual Machine (VM) allocation and task scheduling in fog computing environments. Effective task scheduling, VM migration, and allocation, altogether optimize the use of computational resources across different fog nodes. This process ensures that the tasks are executed with minimal energy consumption, which reduces the chances of resource bottlenecks. In this manuscript, the proposed framework comprises two phases: (i) effective task scheduling using a fractional selectivity approach and (ii) VM allocation by proposing an algorithm by the name of Fitness Sharing Chaotic Particle Swarm Optimization (FSCPSO). The proposed FSCPSO algorithm integrates the concepts of chaos theory and fitness sharing that effectively balance both global exploration and local exploitation. This balance enables the use of a wide range of solutions that leads to minimal total cost and makespan, in comparison to other traditional optimization algorithms. The FSCPSO algorithm's performance is analyzed using six evaluation measures namely, Load Balancing Level (LBL), Average Resource Utilization (ARU), total cost, makespan, energy consumption, and response time. In relation to the conventional optimization algorithms, the FSCPSO algorithm achieves a higher LBL of 39.12%, ARU of 58.15%, a minimal total cost of 1175, and a makespan of 85.87 ms, particularly when evaluated for 50 tasks. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Enhanced WPA2/PSK for Preventing Authentication Cracking

Author

Chen, Chin-Ling, Punya, Supaporn, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Li, Wuyungerile, editor, and Tang, Dalai, editor

Published
2020
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23. Digital Image Anti-counterfeiting Technology

Author

Chen, Chin-Ling, Lee, Chin-Feng, Hsu, Fang-Wei, Deng, Yong-Yuan, Liu, Ching-Cheng, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Barolli, Leonard, editor, Hellinckx, Peter, editor, and Enokido, Tomoya, editor

Published
2020
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26. Quantified emotion analysis based on design principles of color feature recognition in pictures.

Author

Chen, Chin-Ling, Huang, Qing-Yang, Zhou, Ming, Huang, Der-Chen, Liu, Ling-Chun, and Deng, Yong-Yuan

Subjects
COLOR space, COLOR in design, EMOTIONS, SATISFACTION, ART appreciation, EMOTICONS & emojis
Abstract

When people observe pictures, different pictures will generate different emotions, and the painters often convey emotional energy to the audience through the media. Through the effect of this emotional transfer, people get emotional satisfaction psychologically, and the author can better express the emotion he needs to express by using the principle. For those who do not know art appreciation, it is difficult to accurately describe the feelings brought by pictures and describe them accurately. It is also difficult to quickly and accurately find the picture of the corresponding feeling sought by oneself. This paper presents a quantitative picture emotion analysis method. Based on the analysis of the characteristics and colors of the pictures that arouse people's emotions, the classification planning is carried out in RGB space and HSV color space respectively. And the combination analysis of the color features with strong influence is carried out to select a more appropriate color space for the expression of human feelings. At the same time, the paper also discusses the effect of the black-and-white filling and the brightness saturation of the image. Finally, it makes use of the corresponding design principles to carry out a quantitative analysis of the emotion generated by it. The system performs a combined analysis of a picture from these directions and presents the results to the user. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Clinical outcome of bevacizumab or ramucirumab combined with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors as the first line therapy in susceptible EGFR‐mutated advanced non‐small‐cell lung.

Author

Kuo, Chia‐Yu, Tsai, Ming‐Ju, Hung, Jen‐Yu, Lee, Mei‐Hsuan, Wu, Kuan‐Li, Tsai, Yu‐Chen, Chuang, Cheng‐Hao, Huang, Chung‐Wen, Chen, Chin‐Ling, Yang, Chih‐Jen, and Chong, Inn‐Wen

Subjects
EPIDERMAL growth factor receptors, PROTEIN-tyrosine kinase inhibitors, VASCULAR endothelial growth factors, ERLOTINIB, PEMETREXED, BEVACIZUMAB, PROGRESSION-free survival
Abstract

Combining epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) with an anti‐ vascular endothelial growth factor (VEGF) agent, bevacizumab or ramucirumab, is indicated for advanced lung adenocarcinoma harboring EGFR mutation. This study aimed to show the real‐world data of combination therapy and compare the effectiveness between bevacizumab and ramucirumab in combination with an EGFR‐TKI. This retrospective study enrolled 47 patients diagnosed of stage IV lung adenocarcinoma with exon 19 deletion or L858R point mutation, receiving a first‐line EGFR‐TKI with anti‐VEGF agent, including 34 (72%) and 13 (28%) patients receiving bevacizumab and ramucirumab, respectively. The response rate was similar in both groups (p = 0.38). Patients receiving bevacizumab had similar progression free survival (PFS) as those receiving ramucirumab (median PFS: 21.9 vs. 24.2 months, p = 0.4871); similar finding was noted in overall survival (OS) (median OS: 33.5 months vs. not reached, p = 0.4618). Patients receiving ramucirumab experienced a significantly high‐grade hypertension compared to those receiving bevacizumab (p = 0.0351). Multivariable Cox regression analysis found independent risk factors for worse PFS included poorer ECOG performance status, multiple (≥3) metastatic sites, brain metastasis, and pleural metastasis/effusion, while the type of anti‐VEGF agent was not a risk factor. Pericardial metastasis/effusion was the only one independent risk factor for worse OS. In summary, ramucirumab may have similar effectiveness as bevacizumab in combination with an EGFR‐TKI as first line therapy for advanced lung adenocarcinoma harboring susceptible EGFR mutation. Further large‐scale registry‐based cohort studies may be needed to validate our findings. [ABSTRACT FROM AUTHOR]

Published
2024
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28. An ECC Based Secure and Convenient Rural Medical Care System

Author

Deng, Yong-Yuan, Chen, Chin-Ling, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Kim, Kuinam J., editor, and Kim, Hyuncheol, editor

Published
2019
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35. Development of Audio and Visual Attention Assessment System in Combination with Brain Wave Instrument: Apply to Children with Attention Deficit Hyperactivity Disorder

Author

Chen, Chin-Ling, Tang, Yung-Wen, Zhou, Yong-Feng, Chen, Yue-Xun, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Lin, Jerry Chun-Wei, editor, Pan, Jeng-Shyang, editor, Chu, Shu-Chuan, editor, and Chen, Chien-Ming, editor

Published
2018
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36. A Secure Authentication Protocol for Wireless Sensor Network in Smart Vehicular System

Author

Li, Chun-Ta, Weng, Chi-Yao, Chen, Chin-Ling, Lee, Cheng-Chi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Skulimowski, Andrzej M.J., editor, Sheng, Zhengguo, editor, Khemiri-Kallel, Sondès, editor, Cérin, Christophe, editor, and Hsu, Ching-Hsien, editor

Published
2018
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41. Design of a Secure Emergency Communication System Based on Cloud for Pregnancy

Author

Li, Guan-Chen, Chen, Chin-Ling, Lin, Feng, Shin, Jungpil, Gu, Cheng, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Au, Man Ho Allen, editor, Castiglione, Arcangelo, editor, Choo, Kim-Kwang Raymond, editor, Palmieri, Francesco, editor, and Li, Kuan-Ching, editor

Published
2017
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42. Further Improvement on An Efficient and Secure Three-factor Based Authenticated Key Exchange Scheme Using Elliptic Curve Cryptosystems

Author

Li, Chun-Ta, Chen, Chin-Ling, Lee, Cheng-Chi, Chen, Chien-Ming, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Au, Man Ho Allen, editor, Castiglione, Arcangelo, editor, Choo, Kim-Kwang Raymond, editor, Palmieri, Francesco, editor, and Li, Kuan-Ching, editor

Published
2017
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43. Bus Drivers Fatigue Measurement Based on Monopolar EEG

Author

Chen, Chin-Ling, Liao, Chong-Yan, Chen, Rung-Ching, Tang, Yung-Wen, Shih, Tzay-Farn, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Nguyen, Ngoc Thanh, editor, Tojo, Satoshi, editor, Nguyen, Le Minh, editor, and Trawiński, Bogdan, editor

Published
2017
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47. A Blockchain and IPFS-Based Anticounterfeit Traceable Functionality of Car Insurance Claims System.

Author

Chen, Chin-Ling, Zheng, Ying-Ming, Huang, Der-Chen, Liu, Ling-Chun, and Chen, Hsing-Chung

Subjects
*INSURANCE claims, *INSURANCE claims adjustment, *INSURANCE crimes, *BLOCKCHAINS, *DIGITAL signatures
Abstract

Due to frequent traffic accidents around the world, people often take out car insurance to mitigate their losses and receive compensation in a traffic accident. However, in the existing car insurance claims process, there are problems such as insurance fraud, inability to effectively track and transmit insurance data, cumbersome insurance procedures, and high insurance data storage costs. Since the immutability and traceability features of blockchain technology can prevent data manipulation and trace past data, we have used the Elliptic Curve Digital Signature Algorithm (ECDSA) to sign and encrypt car insurance data, ensuring both data integrity and security. We propose a blockchain and IPFS-based anticounterfeiting and traceable car insurance claims system to improve the above problems. We incorporate the Interplanetary File System (IPFS) to reduce the cost of storing insurance data. This study also attempts to propose an arbitration mechanism in the event of a car insurance dispute. [ABSTRACT FROM AUTHOR]

Published
2023
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