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检索条件"任意字段=6th International Conference on the Art, Science, and Engineering of Programming, Programming 2022"

共 1074 条记录，以下是231-240 订阅

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An online auction mechanism for double time-varying constraints in vehicular edge computing 6

An online auction mechanism for double time-varying constrai...

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6th international conference on Computer science and artificial Intelligence, CSAI 2022

作者： Peng, Xiao Zhang, Jixian School of Information Science and Engineering Yunnan University China

ISBN: (纸本)9781450397773

Real-Time resource allocation has become a hot topic in vehicular edge computing environment. However, vehicle equipment with limited computing capability cannot meet the Quality of service of computation intensive and delay sensitive vehicle applications. Moreover, in most studies, the deployment constraints in edge computing and users' resource demand are static, which is inconsistent with real scenarios. In this paper, an online auction mechanism with double time-varying constraints is proposed to solve the resource allocation problem in a vehicular edge computing environment. Specifically, we first formulate the resource allocation problem between edge computing servers (ECSs) and vehicles as a novel integer programming model with time-varying deployment constraint and time-varying resource demand. then, we design an online auction mechanism based on heuristics. In the resource allocation algorithm, a matching model and dominant-resource-proportion strategy are adopted to improve the resource utilization and social welfare. Simultaneously, a payment pricing algorithm based on the dichotomy is proposed. Finally, we prove that the online mechanism is individually rational and truthful. the experimental results demonstrate that our online mechanism has higher social welfare and resource utilization than existing research. © 2022 ACM.

关键词： Resource allocation

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Identifying Environmental Information Disclosure Manipulation Behavior through Machine Learning: A Comparative Analysis of Recognition Models 6

Identifying Environmental Information Disclosure Manipulatio...

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2023 IEEE 6th international conference on Information Systems and Computer Aided Education, ICISCAE 2023

作者： Chen, Hengli Wang, Yan Hu, Yuxiang Xu, Zhongqi Wu, Chengmeng Li, Yuanzhe Xiamen University School of Management Xiamen361005 China National University of Singapore College of Design and Engineering Singapore117585 Singapore Dalian University of Finance and Economics Dalian116622 China University of Cambridge Department of Pure Mathematics and Mathematical Statistics CambridgeCB2 1TN United Kingdom Nanyang Technological University School of Materials Science and Engineering Singapore639798 Singapore China Academy of Art Carbon Neutrality Research Lab Hangzhou310002 China

ISBN: (纸本)9798350313444

Manipulation of corporate environmental information disclosure is highly covert, posing significant challenges to the identification and judgment of such manipulative behaviors. In this study, we apply machine learning methods to construct a model for identifying manipulative behaviors in environmental information disclosure. We collect environmental pollution penalty cases of Chinese listed companies from 2011 to 2020 and combine them with the "pressure pool"index system to build training and testing datasets. We compare the recognition abilities of logistic regression, decision tree, and random forest models. To address the issue of data imbalance, we compare two oversampling techniques, Borderline-SMOTE and ADASYN. In the final detection results, the Borderline-SMOTE algorithm demonstrates better identification performance, and the Borderline-SMOTE-RF model outperforms the logistic regression and decision tree models. We hope that our research can provide references for regulatory authorities, accelerate the improvement of mandatory environmental information disclosure regulations for listed companies, enhance the detection, identification, and early warning capabilities of manipulative behaviors in environmental information disclosure, and promote the quality of environmental information disclosure. © 2023 IEEE.

关键词： Data imbalance Environmental information disclosure Machine learning Manipulation behavior Recognition models

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Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated Ferrofluids 22

Application of Hybrid PSO and SQP Algorithm in Optimization ...

引用

6th international conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2022

作者： Lin, Jing-Fung Sheu, Jer-Jia Department Of Aircraft Maintenance Far East University Taiwan Department Of Mechanical Engineering Southern Taiwan University Of Science And Technology Taiwan

ISBN: (纸本)9781450396288

the citrate (citric acid, CA) coated ferrofluids with great magneto-optical retardance can meet the high magnetic responsive demand, especially in widely potential biomedical applications such as hyperthermia and magnetic resonance imaging. In this study, the measured retardances are based on the Taguchi method with nine tests for four parameters, including pH of suspension, molar ratio of CA to Fe3O4, CA volume, and coating temperature. the retardance obtained from the double centrifugation test is also included. three optimization algorithms including the particle swarm optimization (PSO), the sequential quadratic programming (SQP), and a hybrid PSO-SQP algorithm are executed to obtain high retardance. the comparisons are made among the retardance results obtained from these algorithms. Seven start points chosen from the orthogonal test are input into the SQP, the PSO is applied to the stepwise regression equation, and while executing the hybrid PSO-SQP algorithm, the parametric combination obtained by the PSO is adopted as the start point in the SQP simulation. the global optimum retardance and the corresponding parameter values are effectively assured by the global search ability of the PSO and the local search ability of the SQP. © 2022 ACM.

关键词： Taguchi methods

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A Secure and Lightweight Implementation Scheme for Internet of things Device Management Based on ZUC Algorithm 6

A Secure and Lightweight Implementation Scheme for Internet ...

引用

6th international conference on Computer Information science and Application Technology, CISAT 2023

作者： Hao, Tian Chao, Wang National Computer System Engineering Research Institute of China Beijing China

ISBN: (纸本)9781510668546

With the widespread application of the Internet of things, millions of sensors, actuators, or embedded electronic devices are interconnected through the Internet. Monitoring a large number of IoT devices is a huge challenge, especially when sensor nodes are limited (such as limited CPU, memory, and batteries). the IoT device management protocol has become an important research field. However, currently, management protocols designed for the Internet of things, such as CoAP and MQTT, do not provide security support. SNMP is a widely used protocol for monitoring systems, and its v3 version provides comprehensive security support. However, SNMPv3 uses complex encryption algorithms and cannot be applied to resource limited IoT devices. In order to address this issue, we propose a secure and lightweight implementation scheme for Internet of things (IoT) device management based on the ZUC algorithm. this solution utilized the ZUC algorithm as its core and created authentication and encryption protocols in order to provide safe connection and control ofloT devices. We conducted simulation experiments and compared our scheme with the simple network management protocol to confirm its viability. the results show that, while maintaining security, the proposed solution greatly lowers computing and communication overhead, making it suitable for Internet of things (IoT) scenanos. © 2023 SPIE.

关键词： Internet of things

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Human-AI Co-Creation of art Based on the Personalization of Collective Memory 6

Human-AI Co-Creation of Art Based on the Personalization of ...

引用

6th Asian conference on artificial Intelligence Technology, ACAIT 2022

作者： Wu, Zhuohao Li, Yanni Ji, Danwen Wu, Dingming Shidujaman, Mohammad Zhang, Yuan Zhang, Chenfan Communication University of China School of Animation and Digital Arts Beijing China Tongji University College of Design and Innovation Shanghai China Shenzhen University College of Computer Science and Software Engineering Shenzhen China American International University-Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh School of Design Politecnico di Milano Milan Italy

ISBN: (纸本)9781665453110

artificial intelligence (AI) is trained with data, especially texts, numbers, images, videos and music on Internet. these data all together across time and space make a collective memory of the world. the latest large-scale AI models give people a chance to create out of a large pool of this collective memory, which they won't be able to access before, and communicate with AI in both human natural language and the unique machine supported ways. As demonstrated and discussed in this paper, effective and efficient workflows can be built up for human and AI to co-create meaningful results based on both the collective memory of the world and the personalized ideas and tastes. this kind of human-AI co-creation has a new force with great potential, and expect a new strategy and philosophy to guide human-AI collaboration. © 2022 IEEE.

关键词： artificial intelligence

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An Intelligent LoRa based Women Protection and Safety Enhancement using Internet of things 6

An Intelligent LoRa based Women Protection and Safety Enhanc...

引用

6th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Anitha, G. Mohanavel, V. Tamilselvi, M. Ramkumar, G. thandaiah Prabu, R. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Department of Electronics and Communication Engineering Chennai602105 India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tamil Nadu Chennai600073 India Chandigarh University Department of Mechanical Engineering Punjab Mohali140413 India T.S.Srinivasan Centre for Polytechnic College and Advanced Training Vanagaram Department of Mechatronics Engineering Chennai600 095 India

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

A country's economic destiny is heavily influenced by the contributions of its women. Instead of being confined to the house to take care of domestic responsibilities, women are now able to work and raise a family while still contributing to economic growth on an equal basis with men. In the past several decades, there has been a lot of effort and money put into increasing the number of women who get hired and stay in their jobs. Sexual harassment of women in the workplace and other settings has come to light more often in recent years, raising important concerns concerning the gender-specific effect of this kind of discrimination on women's lives. We believe that technology can play an important role in developing a solution to alleviate women's daily annoyance. LoRa-based devices may be used to improve the security of women, according to this report. In this work, we present a method for programming such devices such that they can analyze a person's unique temperature and heart rate patterns and determine at what point to sound an alert. Large-distance transmission is made possible by the LoRa physical layer, which serves as the primary communication interface. Additionally, an Android app has been built to indicate the position of the pushed node and to give navigation routes to the relevant security personnel in order to visit that node. It was decided to evaluate energy use and cost. According to our findings, our network is far less expensive and power-hungry than the alternatives. © 2022 IEEE.

关键词： Internet of things

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Data fusing driven graph embedding model for multi-source heterogeneous knowledge graph 6

Data fusing driven graph embedding model for multi-source he...

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6th international conference on artificial Intelligence and Pattern Recognition, AIPR 2023

作者： Peng, Xiangyu Zhang, Yu Hu, Wang School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798400707674

Graph embedding has been suggested as an efficient approach for discovering substantial and valuable knowledge in knowledge graphs. However, due to the vast amount and complexity of knowledge graphs, it is challenging to obtain reliable embeddings, which poses challenges in scalability and property selection. Previous research has given little attention to these challenges. In addressing this issue, a knowledge graph embedding model known as the data fusing driven graph embedding model (DFGE) is proposed, which comprises three modules: node embedding module, attribute embedding module, and merge module. Within DFGE, node attribute information is filtered and combined with graph structure information to calculate embeddings. Furthermore, multi-source heterogeneous data fusion technology (MHDF) is also proposed within this model to capture attribute features, embed and fuse nodes' attributes, and enhance DFGE's effectiveness. Extensive experiments are conducted on both Cora and a new proposed Buildings Seismic Damage dataset. Results confirm that DFGE delivers significant performance improvements over state-of-the-art models. © 2023 ACM.

关键词： Knowledge graph

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An Adaptable and Extensible Code Smell Detection Approach 6

An Adaptable and Extensible Code Smell Detection Approach

引用

6th IEEE international conference on Communication and Electronics Systems, ICCES 2021

作者： Jacob, T.Prem Pravin, A. Rajakumar, R. Department of Computer Science and Engineering Department of Mathematics

ISBN: (纸本)9781665435871

A Code Smell in computer programming is a surface sign that there may be an issue with respect to your framework and the nature of your code. this issue may require refactoring to be fixed. Code smell is an unpleasant usage decision in the plan stage. Code smells are markers of value issues that make a product difficult to keep up and develop. Given the significance of scents in the source code's viability, numerous examinations have investigated the attributes of scents and dissected their impacts on the product's quality. Code smells are attributes of programming thatdemonstrate issue in the code construction and framework plan that bring about the product is being hard to create and keep up. Large, code smells can be recognized through the code structure. the proposed framework approves code smell for foreseeing class change inclination to discover mistake in expectation of progress inclination utilizing code smell. © 2021 IEEE.

关键词： Computer programming

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Linear programming-Based Consensus of T-S Fuzzy Positive Multi-Agent Systems

Linear Programming-Based Consensus of T-S Fuzzy Positive Mul...

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Pattern Recognition and artificial Intelligence (PRAI), international conference on

作者： Chongxiang Yu Chao Yu Junfeng Zhang Mengxing Huang School of Information and Communication Engineering Hainan University China

this paper presents a novel consensus for directed T-S fuzzy positive multi-agent systems in terms of observer-based control protocols. First, a directed graph is used to model the communication topology of T-S fuzzy positive multi-agent systems. Second, a positive observer is designed for the considered systems. then, a control protocol is constructed based on the designed observer. A matrix decomposition approach is introduced to design the corresponding protocol gains. By using co-positive Lyapunov functions and linear programming, the positivity and consensus of T-S fuzzy positive multi-agent systems are achieved. Finally, one simulation example is provided to illustrate the validity of the presented results.

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Coordinated Crew Dispatch for Post-Disaster Power Systems and Roads Restoration 6

Coordinated Crew Dispatch for Post-Disaster Power Systems an...

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6th IEEE conference on Energy Internet and Energy System Integration, EI2 2022

作者： Zhu, Hao Gao, Jianlong Xie, Haipeng Su, Jingxuan Xi'an Jiaotong University School of Electrical Engineering Xi'an China

ISBN: (纸本)9798350347159

Extreme natural disasters will cause serious damage to power systems and public roads, and the damage of road networks will directly affect the repair of power components. therefore, the cooperative repair of roads and power grid elements is of great significance to improve the resilience of power systems. Towards urban power grids, this paper proposes a maintenance personnel dispatch model for the collaborative repair of roads and power grids after extreme disasters. First, a mechanism for the coordinated restoration of power and roads after the disaster is constructed, which unifies the dispatch of the power restoration plan and the road restoration plan of the road administration department. then, with the goal of minimizing comprehensive benefit loss, considering the coupling of power maintenance path optimization and road dynamic repair process, a coordinated dispatch model of power and road maintenance is established, which is a mixed-integer linear programming model suitable for general solvers. Finally, a case analysis based on the IEEE RTS 79 test system shows that collaborative repair can significantly reduce the travel time of power repair crew, reduce the lack of power supply, and increase the overall social and economic benefits while having a small impact on the road repair goals. © 2022 IEEE.

关键词： Restoration

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