2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)最新文献_第4页

Multi Task Learning: A Survey and Future Directions 多任务学习:综述及未来发展方向

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067098

Taeho Lee, Junhee Seok

引用次数: 2

Deep Reinforcement Learning-based Building Energy Management using Electric Vehicles for Demand Response 基于深度强化学习的电动汽车需求响应建筑能源管理

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066975

Daeyoung Kang, Seunghyun Yoon, Hyuk-Soon Lim

{"title":"Deep Reinforcement Learning-based Building Energy Management using Electric Vehicles for Demand Response","authors":"Daeyoung Kang, Seunghyun Yoon, Hyuk-Soon Lim","doi":"10.1109/ICAIIC57133.2023.10066975","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10066975","url":null,"abstract":"In recent years, stability issues of power grids have become critical with the rapid increase in power consumption. Demand response (DR) is a policy that incentivizes consumers to reduce their power usage so that electricity demand does not exceed the supply of a power grid to prevent the power grid's instability. We propose a Deep Q-Network (DQN)-based building energy management system that reduces the amount of electricity supplied by electric power companies by utilizing the surplus power of electric vehicles (EVs) upon DR requests. The proposed scheme considers the DR incentives and penalties as well as the cost of buying energy from EVs. In addition, the amount of time used for discharging EVs is also taken into consideration in DQN's reward function. We perform the simulations to compare the proposed scheme with a random selection scheme and a greedy scheme to recruit the nearest EVs until the DR request is fulfilled. The simulation result indicates that the proposed scheme succeeds to balance the building cost and the EV waiting time performance at the EV stations.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"17 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":"125926953","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

Introduction of Optimization Algorithm for Adaptive Gradient 自适应梯度优化算法简介

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066993

Mouna Lamine, Sang-Chul Kim

引用次数: 0

Biometric in Cyber Security: A Mini Review 生物识别技术在网络安全中的应用综述

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067017

Elhaam Abdulrahman Debas, R. Alajlan, Mohammad Sohel Rahman

引用次数: 0

Implementation of Single and Multi Linear Regression for Prediction of Energy Consumption based on Previous Data of Energy Production 基于能源生产前期数据的单、多元线性回归预测能源消费

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066989

Quota Alief Sias, Sol Lim, Rahma Gantassi, Yonghoon Choi

引用次数: 1

Visualization Algorithm for Cargo Stowage Optimization of Vehicle Carriers 车辆运输货物配载优化的可视化算法

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067046

Ji Yeon Kim, Young-Jin Kang, Sanghyun Ha, Seok Chan Jeong

引用次数: 0

Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution 对照组分布观察帕金森语音数据集的跨语料库差异

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066982

N. Pah, V. Indrawati, D. Kumar

{"title":"Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution","authors":"N. Pah, V. Indrawati, D. Kumar","doi":"10.1109/ICAIIC57133.2023.10066982","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10066982","url":null,"abstract":"Parkinson'$s$ disease (PD) is one of the most common neurodegenerative disorders. PD has been the fastest growth in prevalence, and it has become the leading cause of disability. The severity or progression of PD can be reduced if diagnosed at the early stages. It is therefore necessary to develop rapid and simple screening methods or tools to diagnose PD. Speech impairment is one of the early symptoms of PD which is commonly termed Parkinsonian hypokinetic dysarthria. Many researchers have developed a computerized method to identify of diagnosing PD based on voice features. However, the inaccuracy of the developed models was inconsistent especially when being tested on different datasets. The possible cause is the unwanted variability and biases between datasets. This study investigates the possible inconsistencies between Parkinson's voice datasets. The inconsistencies were investigated in the statistical distribution of voice parameters of the healthy-control (HC) group. This work observes the statistical distribution of sustained phoneme parameters extracted from the healthy-control (HC) group of five datasets using ANOVA and the Post-Hoc Turkey-Cramer test. The result suggests that the diversity in language and ethnicity were not contributing significantly to any biases between databases. The other result confirms that noises in the recording contribute to the biases in the extracted voice features, especially the harmonic features","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"15 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":"126462641","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

The Use of Background Features, Template Synthesis and Deep Neural Networks in Document Forgery Detection 背景特征、模板合成和深度神经网络在文件伪造检测中的应用

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067120

Mahmoud Hamido, Abdallah Mohialdin, Ayman Atia

{"title":"The Use of Background Features, Template Synthesis and Deep Neural Networks in Document Forgery Detection","authors":"Mahmoud Hamido, Abdallah Mohialdin, Ayman Atia","doi":"10.1109/ICAIIC57133.2023.10067120","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067120","url":null,"abstract":"Document manipulation is a recently arising problem, especially with the rapid spread of fabrication technology. The tools to alter documents are now publicly available and can result in high quality forgeries, indistinguishable from genuine ones. Forged documents may wreak havoc on many processes dependent on the validity of the document, leading to lasting consequences such as financial loss. Therefore, the process of identifying a document that has been altered is essential. A system that is capable of scrutinizing documents as either forged or genuine through discriminative features (such as distortions or character misalignment) can assist industries with heavily reliance on documents for processes such as identity verification. Most of the documents involved in such processes have sufficiently complex backgrounds. We present a computer-vision-based system that detects changes in the background of the aforementioned documents as a result of manipulations made to its contents through the use of image subtraction. The system takes an image as input and then classifies the document as genuine or forged. Our proposed system produces an accuracy of 95% using CNN on unaligned images as well as 100% for aligned images.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"51 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":"122713442","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

Development of Timun Mas Game Platformer for Increasing Generation Z Interest to Indonesian Folklore 开发Timun Mas游戏平台，提高Z世代对印尼民间传说的兴趣

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067133

Andru Baskara Putra, Alief Kukuh Nurkusuma, Gregorious Juan Khawarga, Meiliana, Muhamad Fajar

引用次数: 1

Analysis of Recent IIoT Security Technology Trends in a Smart Factory Environment 智能工厂环境下工业物联网安全技术发展趋势分析

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067004

Jihye Kim, Jaehyoung Park, Jong-Hyouk Lee

引用次数: 1