WCNA 2019 TPC 賴文政博士
•
0 likes•23 views
賴文政博士 Technical Program Committee Member of the 3rd Annual International Conference on Wireless Communications, Networking and Applications (WCNA 2019)
Report
Share
Report
Share
Download to read offline
Recommended
賴文政博士 (ACIRS 2023)
賴文政博士 Technical Program Committees Member of the 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2023)
賴文政博士 (ICECET 2023)
賴文政博士 Scientific Committee Member of The 3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023)
賴文政博士 (IntelliSys 2023)
賴文政博士 Technical Program Committee Member of Intelligent Systems Conference (IntelliSys 2023)
賴文政博士 (IEEE ICCT 2022)
賴文政博士 Technical Program Committee Member of IEEE 22nd International Conference on Communication Technology (IEEE ICCT 2022)
賴文政博士(FTC 2023)
賴文政博士 Technical Program Committee Member of Future Technologies Conference (FTC 2023)
賴文政博士 (CSTFM 2023)
賴文政博士 Technical Program Committee Member of International Conference on Smart Transportation and Future Mobility (CSTFM 2023)
賴文政博士(IET ICETA 2023)
賴文政博士 Technical Program Committee Member of IET International Conference on Engineering Technologies and Applications (IET ICETA 2023)
賴文政博士 (IEEE ICIIET 2022)
賴文政博士 Technical Program Committee Member of International Conference on Intelligent Innovations in Engineering and Technology (IEEE ICIIET 2022)
Recommended
賴文政博士 (ACIRS 2023)
賴文政博士 Technical Program Committees Member of the 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2023)
賴文政博士 (ICECET 2023)
賴文政博士 Scientific Committee Member of The 3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023)
賴文政博士 (IntelliSys 2023)
賴文政博士 Technical Program Committee Member of Intelligent Systems Conference (IntelliSys 2023)
賴文政博士 (IEEE ICCT 2022)
賴文政博士 Technical Program Committee Member of IEEE 22nd International Conference on Communication Technology (IEEE ICCT 2022)
賴文政博士(FTC 2023)
賴文政博士 Technical Program Committee Member of Future Technologies Conference (FTC 2023)
賴文政博士 (CSTFM 2023)
賴文政博士 Technical Program Committee Member of International Conference on Smart Transportation and Future Mobility (CSTFM 2023)
賴文政博士(IET ICETA 2023)
賴文政博士 Technical Program Committee Member of IET International Conference on Engineering Technologies and Applications (IET ICETA 2023)
賴文政博士 (IEEE ICIIET 2022)
賴文政博士 Technical Program Committee Member of International Conference on Intelligent Innovations in Engineering and Technology (IEEE ICIIET 2022)
賴文政博士 (ICIDA 2022)
賴文政博士 Technical Program Committee Member of the 1st International Conference on Innovations in Data Analytics (ICIDA 2022)
賴文政博士 (ICAIA 2021)
賴文政博士 Technical Program Committee Member of the International Conference on Artificial Intelligence and Applications (ICAIA 2021)
賴文政博士(ITA 2022)
賴文政博士 Technical Program Committee Member of the 9th Annual International Conference on Information Technology and Applications (ITA 2022)
賴文政博士 (ISCMM-2021)
賴文政博士 Technical Program Committee Member of the 2nd International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM-2021)
賴文政博士 (IntelliSys 2022)
賴文政博士 Technical Program Committee Member of Intelligent Systems Conference (IntelliSys 2022)
賴文政博士 (ICCNC 2022)
賴文政博士 Technical Program Committee Member of International Conference on Computer Networks and Communications (ICCNC 2022)
賴文政博士 (IASC2022)
賴文政博士 Technical Program Committee Member of International Conference on Intelligent Automation and Soft Computing (IASC2022)
賴文政博士 (FTC 2022)
賴文政博士 Technical Program Committee Member of Future Technologies Conference (FTC 2022)
賴文政博士 (FICC 2023)
賴文政博士 Technical Program Committee Member of the Future of Information and Communication Conference (FICC 2023)
賴文政博士 (CIIR 2021)
賴文政博士 Technical Program Committee Member of the 1st International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021)
賴文政博士 (CSTFM 2022)
賴文政博士 Technical Program Committee Member of International Conference on Smart Transportation and Future Mobility (CSTFM 2022)
賴文政博士 Computing Conference 2022
賴文政博士 Technical Program Committee Member of the Computing Conference 2022
賴文政博士 (IEMIS 2022)
賴文政博士 Technical Program Committee Member of the 3rd INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY (IEMIS 2022)
賴文政博士 (IMaRc 2021)
賴文政博士 Technical Program Committee Member of International Microwave and RF Conference (IMaRc 2021)
賴文政博士 (RTMCS-2021)
賴文政博士 Technical Program Committee Member of International Conference on Recent Trends in Machine Learning and Computing Systems (RTMCS-2021)
賴文政博士 (RFIT2021)
賴文政博士 Technical Program Committee Member of the IEEE International Symposium on Radio-Frequency Integration Technology (RFIT2021)
賴文政博士 (ISCSIC 2021)
賴文政博士 Technical Program Committee Member of the 5th International Symposium on Computer Science and Intelligent Control (ISCSIC 2021)
賴文政博士 (CMAAE 2022)
賴文政博士 Technical Program Committee Member of International Conference on Mechanical, Aerospace and Automotive Engineering (CMAAE 2022)
賴文政博士 (ICECCME 2022)
賴文政博士 Technical Program Committee Member of the 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022)
賴文政博士 (ICECET 2022)
賴文政博士 Technical Program Committee Member of the 2nd International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
More Related Content
More from Doctor of Management, University of Maryland (US).
賴文政博士 (ICIDA 2022)
賴文政博士 Technical Program Committee Member of the 1st International Conference on Innovations in Data Analytics (ICIDA 2022)
賴文政博士 (ICAIA 2021)
賴文政博士 Technical Program Committee Member of the International Conference on Artificial Intelligence and Applications (ICAIA 2021)
賴文政博士(ITA 2022)
賴文政博士 Technical Program Committee Member of the 9th Annual International Conference on Information Technology and Applications (ITA 2022)
賴文政博士 (ISCMM-2021)
賴文政博士 Technical Program Committee Member of the 2nd International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM-2021)
賴文政博士 (IntelliSys 2022)
賴文政博士 Technical Program Committee Member of Intelligent Systems Conference (IntelliSys 2022)
賴文政博士 (ICCNC 2022)
賴文政博士 Technical Program Committee Member of International Conference on Computer Networks and Communications (ICCNC 2022)
賴文政博士 (IASC2022)
賴文政博士 Technical Program Committee Member of International Conference on Intelligent Automation and Soft Computing (IASC2022)
賴文政博士 (FTC 2022)
賴文政博士 Technical Program Committee Member of Future Technologies Conference (FTC 2022)
賴文政博士 (FICC 2023)
賴文政博士 Technical Program Committee Member of the Future of Information and Communication Conference (FICC 2023)
賴文政博士 (CIIR 2021)
賴文政博士 Technical Program Committee Member of the 1st International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021)
賴文政博士 (CSTFM 2022)
賴文政博士 Technical Program Committee Member of International Conference on Smart Transportation and Future Mobility (CSTFM 2022)
賴文政博士 Computing Conference 2022
賴文政博士 Technical Program Committee Member of the Computing Conference 2022
賴文政博士 (IEMIS 2022)
賴文政博士 Technical Program Committee Member of the 3rd INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY (IEMIS 2022)
賴文政博士 (IMaRc 2021)
賴文政博士 Technical Program Committee Member of International Microwave and RF Conference (IMaRc 2021)
賴文政博士 (RTMCS-2021)
賴文政博士 Technical Program Committee Member of International Conference on Recent Trends in Machine Learning and Computing Systems (RTMCS-2021)
賴文政博士 (RFIT2021)
賴文政博士 Technical Program Committee Member of the IEEE International Symposium on Radio-Frequency Integration Technology (RFIT2021)
賴文政博士 (ISCSIC 2021)
賴文政博士 Technical Program Committee Member of the 5th International Symposium on Computer Science and Intelligent Control (ISCSIC 2021)
賴文政博士 (CMAAE 2022)
賴文政博士 Technical Program Committee Member of International Conference on Mechanical, Aerospace and Automotive Engineering (CMAAE 2022)
賴文政博士 (ICECCME 2022)
賴文政博士 Technical Program Committee Member of the 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022)
賴文政博士 (ICECET 2022)
賴文政博士 Technical Program Committee Member of the 2nd International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)
More from Doctor of Management, University of Maryland (US). (20)
Recently uploaded
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, SerbiaDfMAy 2024 - key insights and contributions
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Recently uploaded (20)
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...