自主智能(英文)最新文献_第3页

Localization of image fragments with high frequency intensity oscillation 高频振荡图像片段的定位

自主智能(英文) Pub Date : 2023-08-15 DOI: 10.32629/jai.v6i2.597

A. Trubitsyn, Maksim Shadrin, Andrey Serezhin

引用次数: 1

A hybrid framework to enhance cloud security for storing and retrieving confidential data in clouds 一个混合框架，用于增强云安全性，以便在云中存储和检索机密数据

自主智能(英文) Pub Date : 2023-08-10 DOI: 10.32629/jai.v6i2.566

N. Krishnaveni, C. Jayakumari

{"title":"A hybrid framework to enhance cloud security for storing and retrieving confidential data in clouds","authors":"N. Krishnaveni, C. Jayakumari","doi":"10.32629/jai.v6i2.566","DOIUrl":"https://doi.org/10.32629/jai.v6i2.566","url":null,"abstract":"The building pieces for creating a secure cloud framework for data exchange with authenticated and authorized users are ECC and ABAC. So, the goal of this study is to improve access control and encryption-related methods in order to increase security. The elliptic curve is a key component of the comparative study of cloud encryption and access control techniques. This research project’s main goal is to provide a security architecture that combines authenticated access with attribute-based access control and better elliptic curve encryption. The second goal is to provide a better mapping strategy with reduced time and space complexity for elliptic curve encoding from plain text. To boost the performance of the standard ECC, a thorough algorithm focusing on designing an improved mapping mechanism for encoding plain text to elliptic curve points with excellent security has been included. The strength of the security should not be sacrificed in order to reduce security measures’ overhead costs. ABE is regarded as an effective way for protecting cloud data, according to study results. Because to the use of complex pairing processes, the same is difficult to use. As a result, a hybrid approach using ECC and ABAC performs better to handle the increasing processing capacity.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44424391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhance traffic flow prediction with Real-Time Vehicle Data Integration 通过实时车辆数据集成增强交通流量预测

自主智能(英文) Pub Date : 2023-08-10 DOI: 10.32629/jai.v6i2.574

Rishabh Jain, Sunita Dhingra, Kamaldeep Joshi, A. Rana, Nitin Goyal

引用次数: 1

A novel road traffic flow prediction model using hybrid Particle Swarm Optimization (PSO) and Radial Basis Function Neural Network (RBFNN) 基于粒子群算法和径向基函数神经网络的道路交通流预测模型

自主智能(英文) Pub Date : 2023-08-10 DOI: 10.32629/jai.v6i2.883

Shanhua Zhang, H. An

{"title":"A novel road traffic flow prediction model using hybrid Particle Swarm Optimization (PSO) and Radial Basis Function Neural Network (RBFNN)","authors":"Shanhua Zhang, H. An","doi":"10.32629/jai.v6i2.883","DOIUrl":"https://doi.org/10.32629/jai.v6i2.883","url":null,"abstract":"Traffic congestion is a major problem in urban areas, leading to increased travel time, air pollution, and fuel consumption. Road impedance function, which describes the relationship between traffic status and travel time, plays an important role in predicting travel time and managing traffic flow. Traditional methods for estimating road impedance function rely on manual calibration and may have limitations in reflecting the complexity of traffic patterns. To address these challenges, researchers have proposed various machine learning models for predicting travel time and road impedance function. In this paper, a hybrid particle swarm optimization—radial basis function neural network model is proposed for improving the accuracy of the road impedance function. The model takes into consideration various vehicle types and is validated using travel time data collected from a road section in Huai’an City, China. The effectiveness of the proposed model is compared with the traditional road impedance function calibrated by nonlinear regression. The experimental results indicate that the Mean Relative Error (MRE) of PSORBFNN is increased by 3.89% and 6.28% respectively when compared with DPNR training samples and validation samples. When compared with DPPSO training and validation samples, the MRE of PSORBFNN is increased by 2.87% and 3.3% respectively. These findings suggest that the proposed model could guide and assist traffic engineers and practitioners in predicting travel time on road sections with improved accuracy.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49167662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Are artificial intelligence and co-active life coaching the future designers of nutrition and fitness matters? 人工智能和共同积极的生活指导对未来的营养和健身设计师有意义吗？

自主智能(英文) Pub Date : 2023-08-10 DOI: 10.32629/jai.v6i2.608

S. Hamadeh

{"title":"Are artificial intelligence and co-active life coaching the future designers of nutrition and fitness matters?","authors":"S. Hamadeh","doi":"10.32629/jai.v6i2.608","DOIUrl":"https://doi.org/10.32629/jai.v6i2.608","url":null,"abstract":"Purpose: New priorities for research are emerging in nutrition and sports sciences. These include application of artificial intelligence (AI) and coactive life coaching (CoALC) in nutrition and fitness worlds. Building off such link, this review aims to explore the up-to-date scientific literature at the intersections of AI and CoALC trends, and nutrition and fitness. Design/methodology/approach: A narrative review based on systems thinking approach was used to explore and discuss how AI concepts can affect nutrition and fitness matters, and how life coaching has attempted to deal with healthy lifestyles matters and with considerations of unintended related-consequences and health ethics. Findings: Systems thinking and transdisciplinary approaches could provide more understandings on how to better evaluate the impacts of AI concepts and CoALC and how they are significantly changing nutrition and fitness paradigms of production and consumption. Food and sports systems must continue to build their capacities to understand, regulate, and adapt to these changes. Originality/value: This study suggests a novel argumentative scenario that could be creatively adapted to generate effective strategies and advice on a controversial topic such as nutrition and fitness that involves values, personal attitudes and social behaviors. Practical implications: This paper provides a forward view of the use and impact of AI and CoALC on our dietary patterns and fitness behaviours, and on interventions methods in nutrition and health science research.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46882487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated spinal MRI-based diagnostics of disc bulge and desiccating using LS-RBRP with RF 基于MRI的LS-RBRP射频椎间盘膨出和干燥的自动诊断

自主智能(英文) Pub Date : 2023-08-09 DOI: 10.32629/jai.v6i2.938

S. Shirly, R. Venkatesan, D. David, T. Jebaseeli

引用次数: 0

Mathematical modeling and parameter analysis of quantum antenna for IoT sensor-based biomedical applications 基于物联网传感器的生物医学应用量子天线数学建模与参数分析

自主智能(英文) Pub Date : 2023-08-09 DOI: 10.32629/jai.v6i2.578

Ram Krishna, R. Yaduvanshi, Harendra Singh, A. Rana, Nitin Goyal, Ravinder Kumar

{"title":"Mathematical modeling and parameter analysis of quantum antenna for IoT sensor-based biomedical applications","authors":"Ram Krishna, R. Yaduvanshi, Harendra Singh, A. Rana, Nitin Goyal, Ravinder Kumar","doi":"10.32629/jai.v6i2.578","DOIUrl":"https://doi.org/10.32629/jai.v6i2.578","url":null,"abstract":"In this paper, an equivalent combination of series and parallel R-L-C high-pass filter circuit is derived for a nano (quantum) antenna for the Internet of thing (IoT) based sensors for speedy data or organ image displaying in medical line surgeries. The proposed method utilized the sample frequency behavior of characteristics mode to develop a fundamental building block that superimposes to create the complete response. The resonance frequency, input impedance, and quality factor have been evaluated along with basic and higher-order resonating modes. The relation between quality factor, bandwidth, resonance frequency, and selectivity for higher order, increases the quantum circuits in terms of increased order of a filter, quality factor, and odd and even harmonics factors. Therefore, the basic circuits derivation factor of frequency coefﬁcients are expanded in terms of polynomials and then they are expressed as a simple rational function from which the basic circuit parameters are calculated. In this circuit input impedance of each circuit’s element is complex. The real part of input impedance depends on frequency, depending on the frequency positive or negative value of the resistor, and the imaginary part of impedance modelling an inductor or capacitor due to the value of frequency. At cutoff frequency 511 THz, z11 and VSWR parameters are 34 Ω and 1.11, respectively. The proposed quantum DRA is tested at 5 THz, 10 THz, and 500 THz by calculating the electrical parameters like R, L, C and model performance is quite good as compared to existing ones. The dynamic impedance is dependent on the skin effect and enhances the detailed discussion below. The utilization of optical or quantum DRAs is as optical sensors in biomedical engineering, speedy wireless communication, and optical image solutions. Analyte material has been used for monitoring frequency deviation.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46325807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel machine learning based authentication technique in VANET system for secure data transmission 一种新的基于机器学习的VANET安全数据传输认证技术

自主智能(英文) Pub Date : 2023-08-08 DOI: 10.32629/jai.v6i2.828

Anand N. Patil, Sujata V. Mallapur

{"title":"Novel machine learning based authentication technique in VANET system for secure data transmission","authors":"Anand N. Patil, Sujata V. Mallapur","doi":"10.32629/jai.v6i2.828","DOIUrl":"https://doi.org/10.32629/jai.v6i2.828","url":null,"abstract":"Adaptive transport technologies based on vehicular ad hoc networks (VANET) has proven considerable potential in light of the developing expansion of driver assistance and automobile telecommunication systems. However, confidentiality and safety are the vital challenges in vehicular ad hoc networks which could be seriously impaired by malicious attackers. While protecting vehicle privacy from threats, it is imperative to stop internal vehicles from putting out bogus messages. Considering these issues, a novel machine learning based message authentication combined with blockchain and inter planetary file system (IPFS) is proposed to achieve message dissemination in a secured way. Blockchain is the emerging technology which attempts to solve these problems by producing tamper proof events of records in a distributed environment and inter planetary file system used in the framework is a protocol designed to store the event with content addressability. Along with this combined technology, the source metadata information collected from the inter planetary file system is stored via a smart contract and uploaded to the distributed ledger technology (DLT). For performing event authentication, K-means clustering and support vector machine (SVM) classifier is employed in this framework. K-means clustering performs clustering of vehicles and it is marked malicious or not malicious. After clustering, support vector machine classifier detects the malicious event messages. By this way, the malicious messages are identified and it is dropped. Only the secure messages are forwarded in the network. Finally, our approach is capable of creating a safe and decentralized vehicular ad hoc network architecture with accountability and confidentiality through theoretical study and simulations.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45588953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy consumption structure model considering urban green and low-carbon transportation 考虑城市绿色低碳交通的能源消费结构模型

自主智能(英文) Pub Date : 2023-08-07 DOI: 10.32629/jai.v6i2.879

Kaled H. Mudhee

{"title":"Energy consumption structure model considering urban green and low-carbon transportation","authors":"Kaled H. Mudhee","doi":"10.32629/jai.v6i2.879","DOIUrl":"https://doi.org/10.32629/jai.v6i2.879","url":null,"abstract":"The importance of energy conservation and emission reduction has become the consensus of the international community, and Iraq is also actively improving the urban public transportation system to control carbon emissions. This paper collects panel data of Tikrit city in Iraq in the past 3 years, constructs a random effect variable coefficient model, and studies the impact of the development of urban low-carbon transportation system on the energy consumption structure. The study finds that the government can use public transportation pricing strategies to influence consumers. In order to realize the optimization of energy consumption structure, the impact of electric vehicles on energy consumption structure will decrease with the increase of urban development. The transportation sector can increase the purchase and travel costs of traditional cars by restricting travel, purchases, and charging parking fees, which affects the number of private cars and reduces the obstacles to optimizing the energy consumption structure. The government should increase financial subsidies, improve rail transit and reasonable bus (electric) vehicle operation systems, increase investment in new energy vehicle research and development, and encourage high energy density and low power consumption technologies. development, increase residents’ demand for new energy passenger vehicles, and optimize the energy consumption structure.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42310138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches 性少数群体在社交媒体上的经历：情绪分析和机器学习方法研究

自主智能(英文) Pub Date : 2023-08-04 DOI: 10.32629/jai.v6i2.623

Peter Appiahene, Vijayakumar Varadarajan, Zhang Tao, Stephen Afrifa

{"title":"Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches","authors":"Peter Appiahene, Vijayakumar Varadarajan, Zhang Tao, Stephen Afrifa","doi":"10.32629/jai.v6i2.623","DOIUrl":"https://doi.org/10.32629/jai.v6i2.623","url":null,"abstract":"Nowadays, social media has become a forum for people to express their views on issues such as sexual orientation, legislation, and taxes. Sexual orientation refers to individuals with whom you are attracted and wish to be engaged. In the world, many people are regarded as having different sexual orientations. People categorized as lesbian, gay, bisexual, transgender, queer, and many more (LGBTQ+) have many sexual orientations. Because of the public stigmatization of LGBTQ+ persons, many turn to social media to express themselves, sometimes anonymously. The present study aims to use natural language processing (NLP) and machine learning (ML) approaches to assess the experiences of LGBTQ+ persons. To train the data, the study used lexicon-based sentiment analysis (SA) and six distinct machine classifiers, including logistic regression (LR), support vector machine (SVM), naïve bayes (NB), decision tree (DT), random forest (RF), and gradient boosting (GB). Individuals are positive about LGBTQ concerns, according to the SA results; yet, prejudice and harsh statements against the LGBTQ people persist in many regions where they live, according to the negative sentiment ratings. Furthermore, using LR, SVM, NB, DT, RF, and GB, the ML classifiers attained considerable accuracy values of 97%, 96%, 88%, 100%, 92%, and 91%, respectively. The performance assessment metrics used obtained significant recall and precision values. This study will assist the government, non-governmental organizations, and rights advocacy groups make educated decisions about LGBTQ+ concerns in order to ensure a sustainable future and peaceful coexistence.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46906545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0