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Evolution Enhanced Resilience of Protein Interaction Networks

Evolution Enhanced Resilience of Protein Interaction Network...

引用

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

作者： Jiarui Zhang Dewu Ding School of Mathematics and Computer Science Yichun University Yichun China

ISBN: (纸本)9781665454636

Most biological functions are presented through protein-protein interaction (PPI) networks. PPI networks show the complex protein-protein interaction relationship within the organism. The generation or destruction of these interaction may lead to changes in biological functions. The latest research results show that the interaction network of species with a higher degree of evolution has higher resilience. Here we explore the resilience changes of a single species during its evolution. We obtain data from public and published websites SNAP. We have proved that no matter what the network structure is, whether it is large or small, when the network fault gradually increases, the resilience gradually decreases. This also indicates that the network with the greatest resilience has a higher degree of evolution.

关键词： Proteins Microorganisms Evolution (biology) Market research distributed computing Resilience business

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Research on Model and Method of Inland River Ship Overload Measurement 20

Research on Model and Method of Inland River Ship Overload M...

引用

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

作者： Lirong, Ai Jia, Yi Shengping, Jin Yanchun, Wang Wuhan Institute of Shipbuilding Technology Wuhan430050 China School of Science Wuhan University of Technology Wuhan430070 China Huangshi Second High School Huangshi435003 China

ISBN: (纸本)9781665428897

The problem of detecting overloading of inland vessels is an important topic on water traffic safety. But the workload is too large to rely solely on traditional manual enforcement. This paper studies model and method for automatically calculating the distance between the trunk of an inland watercraft and the water surface by utilization of LIDAR(LIght/LAser Detect And Ranging) data and modern technologies such as AIS(Automatic identification System) and network transmission. Related models are established which calculate the real-time water surface height, preprocess the LIDAR data and measure the distance between the trunk and the water surface by a dual-fitting model. The model and method have their important theoretic meaning and can be applied to practice for the detection of overloaded inland watercraft. © 2021 IEEE.

关键词： Ships

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Shared-Memory Parallel Algorithms for Fully Dynamic Maintenance of 2-Connected Components 36

Shared-Memory Parallel Algorithms for Fully Dynamic Maintena...

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36th IEEE international Parallel and distributed Processing symposium (IEEE IPDPS)

作者： Haryan, Chirayu Anant Ramakrishna, G. Kothapalli, Kishore Banerjee, Dip Sankar Indian Inst Technol Tirupati Tirupati Andhra Pradesh India Int Inst Informat Technol Hyderabad Hyderabad India Indian Inst Technol Jodhpur Jodhpur Rajasthan India

ISBN: (纸本)9781665481069

Finding the biconnected components of a graph has a large number of applications in many other graph problems including planarity testing, computing the centrality metrics, finding the (weighted) vertex cover, coloring, and the like. Recent years saw the design of efficient algorithms for this problem across sequential and parallel computational models. However, current algorithms do not work in the setting where the underlying graph changes over time in a dynamic manner via the insertion or deletion of edges. the insertion or deletion of edges. Dynamic algorithms in the sequential setting that obtain the biconnected components of a graph upon insertion or deletion of a single edge are known from over two decades ago. Parallel algorithms for this problem are not heavily studied. In this paper, we design shared-memory parallel algorithms that obtain the biconnected components of a graph subsequent to the insertion or deletion of a batch of edges. Our algorithms hence will be capable of exploiting the parallelism adduced due to a batch of updates. We implement our algorithms on an AMD EPYC 7742 CPU having 128 cores. Our experiments on a collection of 10 realworld graphs from multiple classes indicate that our algorithms outperform parallel state-of-the-art static algorithms.

关键词： Semiconductor device modeling Measurement distributed processing Heuristic algorithms Instruction sets Computational modeling Maintenance engineering

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Exploring the Cutting-Edge of Energy Aggregation Approaches and business Models 20th

Exploring the Cutting-Edge of Energy Aggregation Approaches ...

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20th international symposium on distributed computing and Artificial Intelligence, DCAI 2023

作者： Bwalya, Danny Azevedo, Manuel Corchado, Emilio S. PH Energía Porto4150-044 Portugal Institute of Engineering – Polytechnic of Porto Porto4249-015 Portugal Department of Computer Science and Automation University of Salamanca Salamanca Spain

ISBN: (纸本)9783031383175

Energy aggregation business models play a crucial role in maximizing the benefits of renewable energy generation and consumption. In this context, this paper presents an examination of energy system models and their correlation with aggregation business models, emphasizing algorithmic approaches. The distinct characteristics of energy system models in comparison to traditional business models are elucidated. The study encompasses diverse model types employed in the energy sector, including optimization, classification, clustering, and integrated assessment models. Additionally, it investigates the algorithms utilized in aggregation business models, such as demand response, virtual power plants, and peer-to-peer energy trading, highlighting both their advantages and challenges. The paper concludes that the advancement of energy aggregation business models holds significant promise in addressing the intricate complexities of contemporary power systems and the ongoing energy transition. Future research endeavors involve the exploration of Electroencephalography (EEG) techniques within energy aggregation models, inspired by the information processing mechanisms of the human brain. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart power grids

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A Tamper-Proof Smart Contract Metamodel for Blockchain to Optimise Computational Latency 3rd

A Tamper-Proof Smart Contract Metamodel for Blockchain to Op...

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3rd international Conference on computing and Communication Networks, ICCCN 2023

作者： Sengupta, Ratul Srivastava, Ruchika Mishra, Sushruta Abualigah, Laith Kalinga Institute of Industrial Technology Deemed to be University Bhubaneswar India Computer Science Department Prince Hussein Bin Abdullah Faculty for Information Technology Al-Albayt University Mafraq25113 Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman19328 Jordan MEU Research Unit Middle East University Amman11831 Jordan School of Computer Sciences Universiti Sains Malaysia Pulau Pinang Gelugor11800 Malaysia School of Engineering and Technology Sunway University Malaysia Petaling Jaya27500 Malaysia

ISBN: (纸本)9789819726707

In recent years, blockchain technology has garnered considerable interest on account of its peer-to-peer, distributed consensus, and anonymity functionalities. A smart contract functions as a verifiable, self-executing, and self-validating computing layer. This study seeks to identify the key concepts and associated future research goals pertaining to smart contracts based on the blockchain. Smart contracts enable the implementation of programmable assets, including money, and the automation of business logic processes that were previously executed manually. In response to this disclosure, a comprehensive examination of smart contracts employing blockchain technology is undertaken. In this article, we propose an innovative and practical metamodel for ensuring the integrity of protocols within smart contracts facilitated by blockchain technology. This article begins with an explanation of smart contracts’ operational models, functionalities, and applications. Analysis of the results reveals that the utilisation of the model alleviates the workload associated with numerous measurements. It was determined that the mean response latency, computation time, and overhead were each 1.47, 1.19, and 3.04 s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart contract

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Mining model of purchase intention based on support vector machine algorithm 20

Mining model of purchase intention based on support vector m...

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

作者： Zhang, Mengtong Dong, Jichang Huang, Wenkan School of International Education Wuhan University of Technology Wuhan China School of Science Wuhan University of Technology Wuhan China School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan China

ISBN: (纸本)9781665428897

The automobile industry is an important pillar industry of the national economy, while new energy automobile industry is a strategic emerging industry. Firstly, the Spearman correlation coefficient of each index of each brand is calculated, and then the influencing factors of each brand are obtained, and the customer mining model of each brand is established. Finally, it tests the willingness of 15 target customers to buy electric vehicles and conducts k-fold cross-verification. The results show that the purchase user's number of different brands is NO.2 and 4 for brand 1, NO.7 for brand 2 and NO.12 for brand 3. The comprehensive prediction accuracy is as high as 0.94, indicating that the model has high sensitivity and the test results are accurate. © 2021 IEEE.

关键词： Automotive industry

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Strategic Insights into Integrating Accessibility in Software Development: Motivations, Barriers, Commitments, and business Value 24

Strategic Insights into Integrating Accessibility in Softwar...

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23rd Brazilian symposium on Human Factors in computing Systems, IHC 2024

作者： da Silveira, Luís André Aljeedani, Wajdi Medeiros Eler, Marcelo Escola de Artes Ciências e Humanidades Universidade de São Paulo São Paulo São Paulo Brazil Computer Science and Engineering University of North Texas DentonTX United States

ISBN: (纸本)9798400712241

The widespread absence of accessibility in software applications prompted researchers to explore how organizations address accessibility in the software development process. Previous studies predominantly surveyed professionals engaged in daily development activities, revealing that barriers to accessible development are often associated with inadequate organizational support and commitment. Many organizations appear to undervalue accessibility as a quality factor that could confer business advantages, leading to insufficient resource allocation. Conversely, some organizations are recognized for their substantial investments in developing accessible software. In this scenario, this research aims to unveil strategic motivations, commitments, barriers, and benefits of considering accessibility in the development process, offering insights that can inspire other organizations, practitioners, and researchers to recognize the business value of accessibility. Accordingly, we interviewed 15 professionals that plays middle and high management roles in organizations that invest and have specialized teams to the delivery of accessible digital products and services. Our findings indicate that organizations delivering accessible products typically have robust executive support and dedicated policies. Despite challenges, these organizations ensure accessibility across the entire development process. Furthermore, they recognize numerous business benefits but emphasize ethical responsibility and inclusivity as paramount achievements. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Accessibility

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Charging Control of A Vanadium Redox Flow Battery Integrated with Solar PV Plant 32

Charging Control of A Vanadium Redox Flow Battery Integrated...

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32nd IEEE international symposium on Industrial Electronics, ISIE 2023

作者： Hajihosseini, Mojtaba Car, Mateja Aleem, Zeeshan Lešić, Vinko University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Croatia Vestas Arhus Denmark

ISBN: (纸本)9798350399714

Renewable energy sources such as solar and wind power are increasingly being used as alternative energy sources globally to create a low carbon society. For the next generation grid with significant share of distributed energy sources, energy storage technologies are essential. Vanadium redox flow batteries (VRFBs) have many advantages over other energy storage technologies. In the context of the solar plant operation, these batteries can significantly improve ancillary services of frequency regulation and voltage control to support the grid. This paper develops a VRFB model to apply a stand-alone solar system for residential applications. Both maximum power point tracking and voltage control modes are applied to the solar system. A bidirectional DC-DC converter is designed for management of the 5 kWh battery system. The vanadium redox flow battery (VRFB) is used to control the unpredictability of energy supply, serving both as an energy source and a consumer. Introduction of the VRFB and corresponding energy management system enables smoothening and energy shift of solar output, enhances the system reliability with real-time monitoring, operation, regulation, stable and effective operation, and overall system performance optimization. Described system is validated by simulations in MATLAB/Simulink. © 2023 IEEE.

关键词： Maximum power point trackers

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Study on Carbon Sink Value of Marine Resources 20

Study on Carbon Sink Value of Marine Resources

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

作者： Zou, Ying Liu, Xinyi Luo, Liying International Business Faculty BNUZ Zhuhai China BNUZ Department of Management Zhuhai China CPU Department of Pharmacy Nanjing China

ISBN: (纸本)9781665428897

Ecosystem service has two characteristics: one is typical public goods, the other is external, so the development and utilization of ecological environment cannot be realized directly through the market. It is necessary to take adequate measures to make up for the shortage of market mechanisms, so the evaluation of ecosystem service value has gradually become the focus of scholars. This paper uses conditions with Guangdong area as an example, evaluating the ocean carbon sink, the economic value of the services, the influencing factors of Guangdong residents' willingness to pay, it is concluded that Guangdong ocean carbon sinks the higher total monetary value of ecosystem services, the respondent's age, level of education, occupation, family income, degree of understanding of the ocean carbon sink, all the five factors have a significant influence on willingness to pay. Gender did not correlate with a willingness to pay. © 2021 IEEE.

关键词： Marine biology

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A hybrid ARIMA-ANN model for Internet Food safety risks 20

A hybrid ARIMA-ANN model for Internet Food safety risks

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

作者： Wang, Wei Sun, Jun School Of Artificial Intelligence and Computer Science Jiangnan University WuXi China

ISBN: (纸本)9781665428897

As Internet technology becomes more and more mature, Internet food sales have become more and more problematic. problems from raw materials to food processing to food distribution are not easily regulated because of online sales. Firstly, crawl the take-out sales data of cities across the country, based on the data the time series prediction model is established to realize the prediction of business and regional risk values, From this obtains the merchant early warning as well as reminds the consumer's function. According to the data analysis, the ARIMA+ANN model is used for short-term prediction. Then the data analysis results of different regions are compared, and the data analysis of both sides of time and space is conducted, The value at risk ranking allows consumers to make a clear comparison of effects, In this way, we can realize the real and effective supervision of store owners from the economic level, realize the real and effective supervision of Internet food sales, and ensure food safety. © 2021 IEEE.

关键词： Data acquisition

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