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The complexity attachment in modernization journey

The complexity attachment in modernization journey

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Harveena Rambarassah Souheil Khaddaj School of Computing Science and Mathematics Kingston University Kingston Upon Thames UK

ISBN: (纸本)9781665454636

Often referred to as heritage systems, Legacy systems have proven their efficacy and durability over the decades but struggling to prove their viability in the digital market. Legacy systems are being modernized and migrated with a complexity that increases the cost and risk in those journeys. Their underlying characteristics require an in-depth assessment of the factors contributing to their complexity. Therefore, this paper proposes a systematic review to trace and analyze the emergence of characteristics leading to complexity attachment and associated factors and illustrate different techniques to assess factors.

关键词： Systematics Costs Aging Complexity theory distributed computing business

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HPPython: Extending Python with HPspmd for Data Parallel Programming 2

HPPython: Extending Python with HPspmd for Data Parallel Pro...

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2nd international symposium on computing and Artificial Intelligence, ISCAI 2023

作者： Nava, Judah Josiah Lee, Jaden Jinu Lee, Hanku Computer Science and Information Systems Department University Moorhead MN United States

ISBN: (纸本)9798400708954

In light of previous endeavors and trends in the realm of parallel programming, HPPython emerges as an essential superset that enhances the accessibility of parallel programming for developers, facilitating scalability across multiple nodes. Despite Python's popularity as a programming language in scientific and engineering applications and its native support for executing various processes, HPPython brings substantial simplification to the development of parallel programs and empowers program distribution across heterogeneous clusters consisting of multiple physical computers. HPPython leverages the MPI standard for its underlying communication, thereby harnessing the benefits of the SPMD model. Additionally, HPPython introduces novel syntax and constructs, such as parallel loops and distributed lists, while endeavoring to retain the natural essence of the original language. This paper delves into the distinct components of HPPython and elucidates their integration, establishing HPPython as a viable solution for parallel programming in today's data-driven world. © 2023 ACM.

关键词： Parallel programming

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Machine Learning Prediction Based Integrated Smart Energy Management System to Improve Home Energy Efficiency

Machine Learning Prediction Based Integrated Smart Energy Ma...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Ahmed Al-Adaileh Souheil Khaddaj Science Engineering & Computing Faculty Kingston University London UK

ISBN: (纸本)9781665454636

This paper proposes an integrated smart energy management system that applies different machine learning regression techniques to gather, enhance, and prepare various relevant data taken from the surrounding environment to predict and schedule the running periods of one of the schedulable appliances in the household. The system was applied to a case study with encouraging results showing energy consumption reduction rates up to 36%.

关键词： Schedules Home appliances Energy consumption Machine learning Energy efficiency Energy management systems distributed computing

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Research on Path Planning Algorithm of Intelligent Wheeled Robot Based on ROS 20

Research on Path Planning Algorithm of Intelligent Wheeled R...

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20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Ming-Yuan, Wang Meng-Yao, Zhao Jian-Jun, Zhu College of Information Control Engineering Jilin Institute of Chemical Technology Jilin China

ISBN: (纸本)9781665428897

Aiming at some limitations of the A-star algorithm, the algorithm is improved and optimized, robot path planning experiment is carried out. In the traditional A-star algorithm, there are too many turning points of the path and the path is not smooth enough, the car deviates from the path when navigating due to the arc at the corner is too large. This paper combines the conjugate gradient and Gaussian process principle to optimize the A-star algorithm and eliminate the invalid path information to jump points, to implement a path with less angle and smoother. The results show that the hybrid algorithm has a shorter and smoother path than the A-star algorithm. © 2021 IEEE.

关键词： Motion planning

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Dual-view Traffic Identification for Open Source Proxy Software through Early Flows 22

Dual-view Traffic Identification for Open Source Proxy Softw...

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22nd IEEE international symposium on Parallel and distributed Processing with applications, ISPA 2024

作者： Xu, Yuwei Bai, Yunpeng Zhang, Yuquan Song, Yige Xiang, Qiao Cheng, Guang Southeast University School of Cyber Science and Engineering Nanjing China Purple Mountain Laboratories for Network and Communication Security Nanjing China Xiamen University School of Informatics Xiamen China

ISBN: (纸本)9798331509712

Open Source Proxy Software (OSPS) provides privacy protection for users accessing the Internet by constructing a private anonymizing network. However, there is a growing concern about whether OSPS can actually prevent privacy leaks as it claims. Researchers have attempted to use AI-based techniques to identify OSPS, but there are two shortcomings in the current studies. First, there is no complete public dataset to support the identification tasks for different requirements. The existing datasets do not cover the most commonly used OSPS tools and their typical configurations. Second, with the introduction of deep learning techniques, the models continue to become complex, resulting in significant computational overhead. Using early flows for identification may make the model lighter, but result in weaker representations and lower classification performance. To address the above shortcomings, we have carried out pioneering work on OSPS traffic identification through early flows. First, we collect the access traffic of three OSPS tools and create a dataset with 8 protocol configurations. Second, we present an innovative Dual-View Identification (DVI) method for OSPS traffic. By considering both static and dynamic views, DVI effectively characterizes early flows and achieves accurate classification through feature fusion. In the static view, spatial distribution features are extracted by representing the early flows as a grayscale picture. In the dynamic view, spatial features and temporal correlations are represented using a flow with multiple packets, similar to a video with multiple frames. Comparative experiments show that DVI achieves over 90% accuracy and F1 scores in all three tasks, which greatly improves its ability to identify different protocol configurations and access sites. Besides, DVI outperforms 5 state-of-the-art methods and achieves low parameters and FLOPS through early flows. © 2024 IEEE.

关键词： Differential privacy

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A Survey on Patient Information Management System Using IOT and Cloud computing Techniques

A Survey on Patient Information Management System Using IOT ...

引用

2023 international Conference on Artificial Intelligence and Smart Communication, AISC 2023

作者： Goswami, Manisha Castro Dantas Sales, Felipe De Sathe, Manoj Chakravarthi, M. Kalyan Singh, Rajesh Gangodkar, Durgaprasad Gla University Institute of Business Management Uttar Pradesh Mathura India Must University Boca RatonFL United States P.E. Society's Modern Institute of Business Studies Maharashtra Pune India VIT-AP University School of Electronics Engineering Andhra Pradesh Amravati India Uttaranchal University Uttaranchal Institute of Technology India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350322309

Clinics all around the world are using more recent, cutting-edge technology. Telecommunications and information improvements are to blame for the emergence of the Internet of Objects (IoT). In past years, new opportunities for data collection and wiser judgments have emerged with the incorporation of the Internet of Everything with hospital medical equipment, as well as with individuals and their surroundings. In the future of IoT for healthcare, various and distributed devices will collect, analyse, and transmit genuine medical data to open clouds, enabling the accrual, piling, and analysis of crucial data streams in numerous new procedures as well as the increased expression of context-dependent intimations. See some may advance the current development of traditional healthcare model toward engaged medicine by using sensors (ambient, wearable, and implants) dispersed across local surroundings with the goal of tracking patient's health and launching remotely treatment. The management of the massive amount of cloud storage is done by fusing edge computing with the Internet of Things. Recent studies have shown that the cloud and IoT integration significantly affect remote healthcare. This survey study focuses on the many applications of edge computing IoT devices to improve people's health while ensuring the accuracy of medications and medication delivery. © 2023 IEEE.

关键词： Information management

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Federated Digital Twin 27

Federated Digital Twin

引用

27th IEEE/ACM international symposium on distributed Simulation and Real Time applications, DS-RT 2023

作者： Vergara, Christian Bahsoon, Rami Theodoropoulos, Georgios Yanez, Wendy Tziritas, Nikos School of Computer Science University of Birmingham Birmingham United Kingdom Southern University of Science and Technology Dept. of Computer Science and Engineering Shenzhen China University of Thessaly Dept. of Informatics and Telecommunications Lamia Greece

ISBN: (纸本)9798350337846

Digital Twin (DT) is a virtual replica of a physical system that is constantly receiving information from different data sources, enhancing its operations and processes through data analytics, predictions and simulations. The development of DTs relies on advancements in cutting-edge technologies namely IoT, Big data, Cloud computing and Artificial Intelligence;and although it was initially conceived in manufacturing, it is currently contributing to the digital transformation of several fields including aeronautics, healthcare, urban planning and agriculture. The existing body of research suggests that it will be expanded in the next few years with the implementation of sophisticated applications, therefore different proposals to achieve collective work between DTs have been investigated. Nevertheless, much research is needed to develop and validate appropriate mechanisms to ensure its successful deployment in complex real-world cases that require collaboration among individual systems. A Federated Digital Twin (FDT) has been identified as a promising solution for this approach, since it allows the interconnection among autonomous DTs in the virtual space, leveraging their advantages and enabling interaction, collaboration and shared learning. Additionally, since a FDT is envisaged as a network of cooperative DTs, cognitive principles can be applied to assist the overall operations through knowledge acquisition and reasoning, leading to an informed and intelligent decision making. This study aims to expand the FDT concept, develop mechanisms for coordination and synchronization based on well-defined FDT goals and connectionism theory. Furthermore, four architectural styles are provided to enable the integration of collaborative DTs within a federated environment, aiming to improve the operations in complex real-world systems. © 2023 IEEE.

关键词： Metadata

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Machine Learning Approach for Mitigating Security Threats in IoT Environment 5

Machine Learning Approach for Mitigating Security Threats in...

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5th international Conference on Inventive Research in computing applications, ICIRCA 2023

作者： Saini, Harnit Bala, Saroj Ida, S.Jhansi Kumar, K. Suresh Swetha, Shankerpally Divyabarathi, P. Ajay Kumar Garg Engineering College Department of Cse Ghaziabad India Ajay Kumar Garg Engineering College Department of Mca Ghaziabad India R.M.K Engineering College Department of Computer Science and Business Systems Kavaraipettai India Kongu Engineering College Department of Cse Erode India Cvr College of Engineering Department of Information Technology Telangana India Bannari Amman Institute of Technology Department of Artificial Intelligence and Data Science Erode India

ISBN: (纸本)9798350321425

In today's world, a huge amount of data and information is transferred through wireless networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors, devices, and things, which often have limited resources and are susceptible to various security threats, including distributed Denial of Service (DDoS) attacks. These networks are vulnerable to a variety of cyber threats and privacy issues. Intrusions are harmful activities that can damage a network. IoT networks are particularly vulnerable to security threats. The Bi-Layer Intrusion Detection Model (BIDM) identifies intrusions based on the optimal features selected in the Optimal Feature Vector Selection (OFVS) phase. This scheme not only prevents attacks, but also serves as a defense against legitimate threats. The proposed technique was evaluated using the KDD CUP 99 dataset, a well-known Intrusion Detection System (IDS) benchmark. The performance of the proposed scheme was further analyzed using the NSL-KDD and CICIDS-2017 datasets. The performance of OFVS was also investigated using the relatively new IoT Network Intrusion dataset. The implementation was carried out in Jupyter Notebook using the Python programming language. Matplotlib, Scikit-learn, pandas, and NumPy were some of the packages used in the implementation. The proposed framework achieved high accuracy rates, with NB at 97.4%, SVM at 96.1%, and DT at 98.1%. By utilizing this approach, the security of IoT networks can be significantly enhanced, and the risks associated with DDoS attacks can be mitigated. © 2023 IEEE.

关键词： Denial-of-service attack

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A review on the issues in usability evaluation of eHealth applications: From a COVID-19 pandemic perspective 20

A review on the issues in usability evaluation of eHealth ap...

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20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Althani, Bashair College of Business Adminstration Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (纸本)9781665428897

The use of eHealth applications has increased significantly across the globe due to the situations arising out of the recent COVID-19 pandemic. Many new eHealth applications such as mHealth applications for online consultations, health tracking and monitoring, diagnosis etc. were developed, which might have been evaluated using the existing techniques. However, the pandemic has created a situation, which can significantly influence the various processes adopted in the evaluation methods, which may prove to be ineffective due to the unexpected situations arising out of the COVID-19 pandemic. Therefore, the aim of this study is to review the various issues in usability evaluation of eHealth applications in the context of COVID-19 pandemic. The review has identified the need for emphasis on human factors such as attitudes, behaviors, lifestyles, knowledge, and skills;and other environmental factors such as competition, standards, regulations etc. was identified to be necessary in addition to the focus on technical aspects of the system in usability evaluation of eHealth systems. © 2021 IEEE.

关键词： COVID-19

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Q2Logic: A Coarse-Grained FPGA Overlay targeting Schrödinger Quantum Circuit Simulations

Q2Logic: A Coarse-Grained FPGA Overlay targeting Schrödinge...

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2023 IEEE international Parallel and distributed Processing symposium Workshops, IPDPSW 2023

作者： Podobas, Artur KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Stockholm Sweden

ISBN: (纸本)9798350311990

Quantum computing is emerging as an important (but radical) technology that might take us beyond Moore's law for certain applications. Today, in parallel with improving quantum computers, computer scientists are relying heavily on quantum circuit simulators to develop algorithms. Most existing quantum circuit simulators run on general-purpose CPUs or GPUs. However, at the same time, quantum circuits themselves offer multiple opportunities for parallelization, some of which could map better to other architecture- architectures such as reconfigurable systems. In this early work, we created a quantum circuit simulator system called Q2Logic. Q2Logic is a coarse-grained reconfigurable architecture (CGRA) implemented as an overlay on Field-Programmable Gate Arrays (FPGAs), but specialized towards quantum simulations. We described how Q2Logic has been created and reveal implementation details, limitations, and opportunities. We end the study by empirically comparing the performance of Q2Logic (running on a Intel Agilex FPGA) against the state-of-the-art framework SVSim (running on a modern processor), showing improvements in three large circuits(#qbit≥27), where Q2Logic can be up-to 7x faster. © 2023 IEEE.

关键词： Circuit simulation

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