2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)最新文献_第10页

Analysis of Resource Usage Management Plan for Federated Learning in Hybrid Cloud 混合云中联邦学习的资源使用管理方案分析

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067124

Sangwon Oh, Hyeju Shin, Minsoo Hahn, Jinsul Kim

引用次数: 0

Dimensionality reduction as a non-cooperative game 作为非合作博弈的维数缩减

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067075

H. Honda, Phuong Dinh, Pham Thu Thao, Yuho Tabata, Bui Duc Anh

引用次数: 0

Crossover Methods Comparison in Flood Evacuation Route Optimization 洪水疏散路线优化中的交叉方法比较

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067101

M. Nur, Hazriani, N. K. Nur

{"title":"Crossover Methods Comparison in Flood Evacuation Route Optimization","authors":"M. Nur, Hazriani, N. K. Nur","doi":"10.1109/ICAIIC57133.2023.10067101","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067101","url":null,"abstract":"This study aims to implement the genetic algorithm by testing the appropriate crossover methods in order to obtain optimal disaster evacuation routes based three main indicators, namely travel time, possible transportation mode, and affected road conditions. The research phase begins with establishing a flood-affected area scenario consisting of the victim's initial location, evacuation location, routing areas, affected road conditions, distance, as well as travel time. The genetic algorithm is applied by representing the genes and chromosomes based on the available data, generating the initial population and calculating the fitness value. At the stage of determining the parent in forming a new individual, roulette wheel selection is used. For the crossover method to produce new individuals, there are 3 methods tested namely single-point, two-point and uniform crossover. The new formed individuals are then mutated with a probability level of 0.1. The last stage is to form a new population by sorting individuals with the highest fitness value. These processes took place with an iteration limit of 1000. Based on the results of the implementation and tests conducted, the uniform crossover method has the most optimal results with accuracy 90% and highest fitness value of 0.896. Meanwhile, the two others methods two-point and single-point have extremely lower accuracy which are 70% and 60% respectively. This result confirmed the statement of previous research which convinced that the uniform crossover is the most effective crossover method.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659054","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

A Review on AI-Driven Aerial Access Networks: Challenges and Open Research Issues 人工智能驱动的空中接入网络综述:挑战与开放研究问题

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067056

D. Lakew, Anh-Tien Tran, Arooj Masood, Nhu-Ngoc Dao, Sungrae Cho

{"title":"A Review on AI-Driven Aerial Access Networks: Challenges and Open Research Issues","authors":"D. Lakew, Anh-Tien Tran, Arooj Masood, Nhu-Ngoc Dao, Sungrae Cho","doi":"10.1109/ICAIIC57133.2023.10067056","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067056","url":null,"abstract":"Aerial access networks (AANs) consisting of low altitude platforms (LAPs) and high altitude platforms (HAPs) have been considered as emerging wireless networking technologies to enhance both the capacity and coverage of future wireless networks, especially in remote and hard to reach areas with lack of terrestrial base stations. However, the limited onboard resources and high dynamicity of the network make challenging to optimally manage both the communication and computation resources for an efficient aerial networking infrastructure. On the other hand, artificial intelligence (AI), especially reinforcement learning- and deep reinforcement learning-based networking, are attracting significant attention to capture the network dynamicity and long-term resource management performance, recently. Thus, in this paper, we first provide a taxonomy of AI-driven aerial access networks and then, present a review and discussion on the state-of-the-art researches on AI-driven AANs from the communication and computation perspective. Moreover, we identify existing research challenges and provide future research direction for further investigations.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127891959","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: 2

A Performance Efficient Approach of Global Training in Federated Learning 联邦学习中高效的全局训练方法

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066985

D. M. S. Bhatti, Haewoon Nam

{"title":"A Performance Efficient Approach of Global Training in Federated Learning","authors":"D. M. S. Bhatti, Haewoon Nam","doi":"10.1109/ICAIIC57133.2023.10066985","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10066985","url":null,"abstract":"Federated learning is a novel approach of training the global model on the server by utilizing the personal data of the end users while data privacy is preserved. The users called clients are required to perform the local training using their local datasets and forward those trained local models to the server, in which the local models are aggregated to update the global model. This process of global training is carried out for several rounds until the convergence. Practically, the clients' data is non-independent and identically distributed (Non-IID). Hence, the updated local model of each client may vary from every other client due to heterogeneity among them. Hence, the process of aggregating the diversified local models of clients has a huge impact on the performance of global training. This article proposes a performance efficient aggregation approach for federated learning, which considers the data heterogeneity among clients before aggregating the received local models. The proposed approach is compared with the conventional federated learning methods, and it achieves improved performance.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121142592","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: 2

Tree-Based Ensemble Models and Algorithms for Classification 基于树的集成模型和分类算法

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067006

J. Tsiligaridis

引用次数: 0

Differential Image-based Fast and Compatible Convolutional Layers for Multi-core Processors 基于差分图像的多核处理器快速兼容卷积层

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066972

Sunghoon Hong, Dae-Geun Park

引用次数: 0

Early Product Cost Estimation by Intelligent Machine Learning Algorithms 基于智能机器学习算法的早期产品成本估算

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067092

R. Lackes, J. Sengewald

{"title":"Early Product Cost Estimation by Intelligent Machine Learning Algorithms","authors":"R. Lackes, J. Sengewald","doi":"10.1109/ICAIIC57133.2023.10067092","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067092","url":null,"abstract":"Predicting the total manufacturing costs of a new product early in its development is an obstacle for many businesses, especially when selecting between different product designs and their cost implications. Typically, material costs comprise a large part of total manufacturing costs, and therefore obtaining an early estimate of material costs can help businesses in predicting the total manufacturing costs more accurately. At the early stage of product development, with many imponderables and frequent design modifications, it would be impractical to obtain quotations from suppliers. We, therefore, developed a two-stage machine learning scheme estimating the material cost to guide alternative product design choices that yield a lower total manufacturing cost. Our innovative two-stage technique for cost estimation is meant to overcome this issue. In this paper, we demonstrate that neural networks, a prevalent technique in the literature, can be enhanced by adding the concept of modularity to the estimation of the pricing of technical components already during the design process of a new product.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126404925","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

Deep Learning-based Human Vehicle Interface for Smart Golf Cart 基于深度学习的智能高尔夫球车人机界面

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067123

Min Woo Yoo, Chaehyun Lee, Dong Seog Han

引用次数: 0

Evaluation of Deterministic Routing on 100-cores Mesh Wireless NoC 100核Mesh无线NoC中确定性路由的评估

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067074

A. Lit, Jamirin Shaet Joshima, S. Suhaili, N. Rajaee, S. K. Sahari, R. Sapawi

{"title":"Evaluation of Deterministic Routing on 100-cores Mesh Wireless NoC","authors":"A. Lit, Jamirin Shaet Joshima, S. Suhaili, N. Rajaee, S. K. Sahari, R. Sapawi","doi":"10.1109/ICAIIC57133.2023.10067074","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067074","url":null,"abstract":"Due to its unique capability to communicate with long-distance communication processing cores in a single hop, on-chip wireless channels are utilized to reduce the network latency between the distant processing cores. Thus, due to its CMOS compatibility and architectural adaptability, wireless network-on-chip (NoC) is envisaged as a complement to the traditional NoC, which is attractive as wireless transmission will not require a wiring infrastructure. This paper evaluates three different deterministic routing algorithms (XY, west-first, and north-last) on a 100-core mesh WiNoC architecture. There are four wireless hubs equally located for each subnet on the mesh WiNoC architecture to examine its global transmission latency, throughput, and energy characteristics. In addition, the cycle-accurate Noxim simulator is employed to carry out the simulation for the WiNoC infrastructure under test using random and transpose traffic workload distribution. Experimental results show that, under a random traffic scenario, the XY routing algorithm provides the best packet injection rate (PIR) performance at 0.013 flits/cycle/tile. However, the investigated deterministic routing algorithms show no significant performance differences under the transpose traffic, as all of the routing approaches saturated at the same PIR point of 0.007 flit/cycle/tile.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132784390","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: 1