Korean Institute of Smart Media最新文献_第9页

Manufacture artificial intelligence education kit using Jetson Nano and 3D printer 使用Jetson Nano和3D打印机制作人工智能教育工具包

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.40

Seong-Chun Park, Nam-Ho Kim

引用次数: 0

Educational humanoid robot using 3D printer and Arduino 使用3D打印机和Arduino的教育类人机器人

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.9

Suk-Young Kim, Nam-Ho Kim

引用次数: 0

Data-Driven Approach for Lithium-Ion Battery Remaining Useful Life Prediction: A Literature Review 锂离子电池剩余使用寿命预测的数据驱动方法:文献综述

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.63

Luon Tran Van, Deokjai Choi, Tran Ha Lam

引用次数: 0

Classification of Security Checklist Items based on Machine Learning to Manage Security Checklists Efficiently 基于机器学习的安全检查表分类，有效管理安全检查表

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.75

Hyunkyung Park, Hyo Beom Ahn

引用次数: 0

A Study on the Defect Detection of Fabrics using Deep Learning 基于深度学习的织物缺陷检测研究

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.92

Eun Su Nam, Choong Kwon Lee, Yun-Sung Choi

引用次数: 0

Booting Process Profiling Tool for Baseboard Management Controllers 启动过程分析工具的基板管理控制器

Korean Institute of Smart Media Pub Date : 2022-12-31 DOI: 10.30693/smj.2022.11.11.84

Jaeseop Kim, Jim Hong, Minho Park

{"title":"Booting Process Profiling Tool for Baseboard Management Controllers","authors":"Jaeseop Kim, Jim Hong, Minho Park","doi":"10.30693/smj.2022.11.11.84","DOIUrl":"https://doi.org/10.30693/smj.2022.11.11.84","url":null,"abstract":"Baseboard Management Controller(BMC) supports server monitoring, maintenance, and control functions using various communication interfaces. However, if an unexpected problem occurs during the device driver initialization process, the BMC may not operate normally. Therefore, a boot process profiling tool that accurately analyzes the device driver initialization process and provides a function to check the analysis result is essential. Existing boot process profiling tools do not specifically provide the device driver initialization process and results required for BMC boot process analysis, forcing developers to use a combination of tools to analyze the boot process in detail. In this paper, we propose an integrated profiling tool for BMC's booting process. The proposed tool provides device driver initialization process analysis, CPU and memory usage analysis, and kernel version management functions. Users can easily analyze the booting process using the proposed tool, and the analysis result can be used to shorten the booting time. Also, the proposed tool is implemented in Linux-based BMC, and it is shown that the proposed tool is more efficient than the existing profiling tool.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128879562","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 change of Publication rate of abstracts of oral and posters presented at Korean Academy of Pediatric Dentistry annual meetings 在韩国儿科牙科学会年会上发表的口头和海报摘要发表率的变化

Korean Institute of Smart Media Pub Date : 2022-11-30 DOI: 10.30693/smj.2022.11.10.30

So-Youn An, Sung-woo Jung, Bum-Soo Kim, Jeong Wan Son

{"title":"The change of Publication rate of abstracts of oral and posters presented at Korean Academy of Pediatric Dentistry annual meetings","authors":"So-Youn An, Sung-woo Jung, Bum-Soo Kim, Jeong Wan Son","doi":"10.30693/smj.2022.11.10.30","DOIUrl":"https://doi.org/10.30693/smj.2022.11.10.30","url":null,"abstract":"Previous studies in various medical specialties have shown that fewer than 50% of abstracts presented at meetings are subsequently published, but only a few studies have been performed in pediatric dentistry. The purpose of this study was to investigate the rate of publication of articles based on abstracts presented at the Korean Academy of Pediatric Dentistry (K.A.D.P) spring and fall Congress for 2001 to 2011. The abstracts for both oral and poster presentation were collected. A RISS search was then performed to identify the publication of full-length articles based on those titles of the abstracts. A total of 706 abstract presentations were done at the 24 meetings (477 as oral presentation, 229 as poster presentations). Of these, from 45.2%(319) in 2011 to 82.9%(585) in 2022 was subsequently published. The publication ratio for orally presented abstracts was from 52.2%(249) in 2011 to 86.6%(413) in 2022, poster presentations from 30.6%(70) in 2011 to 75.1%(172) in 2022. We suggest that presenters at these meetings should expand their abstracts into full manuscripts and seek to publish them in peer-reviewed journals for the benefit of the profession. We believe that the results of changes in the publication rate over the past 12 years are attributable to the digitalized environment such as electronic literature search and electronic publication.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122135847","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

Prediction of Music Generation on Time Series Using Bi-LSTM Model 基于Bi-LSTM模型的时间序列音乐生成预测

Korean Institute of Smart Media Pub Date : 2022-11-30 DOI: 10.30693/smj.2022.11.10.65

Kwang jin Kim, Chi-Yong Lee

{"title":"Prediction of Music Generation on Time Series Using Bi-LSTM Model","authors":"Kwang jin Kim, Chi-Yong Lee","doi":"10.30693/smj.2022.11.10.65","DOIUrl":"https://doi.org/10.30693/smj.2022.11.10.65","url":null,"abstract":"Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130183914","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

Open Domain Machine Reading Comprehension using InferSent 使用InferSent的开放域机器阅读理解

Korean Institute of Smart Media Pub Date : 2022-11-30 DOI: 10.30693/smj.2022.11.10.89

J. Kim, Chun-Bo Sim, Junyeong Kim, Jun Park, S. Park, S. Jung

{"title":"Open Domain Machine Reading Comprehension using InferSent","authors":"J. Kim, Chun-Bo Sim, Junyeong Kim, Jun Park, S. Park, S. Jung","doi":"10.30693/smj.2022.11.10.89","DOIUrl":"https://doi.org/10.30693/smj.2022.11.10.89","url":null,"abstract":"An open domain machine reading comprehension is a model that adds a function to search paragraphs as there are no paragraphs related to a given question. Document searches have an issue of lower performance with a lot of documents despite abundant research with word frequency based TF-IDF. Paragraph selections also have an issue of not extracting paragraph contexts, including sentence characteristics accurately despite a lot of research with word-based embedding. Document reading comprehension has an issue of slow learning due to the growing number of parameters despite a lot of research on BERT. Trying to solve these three issues, this study used BM25 which considered even sentence length and InferSent to get sentence contexts, and proposed an open domain machine reading comprehension with ALBERT to reduce the number of parameters. An experiment was conducted with SQuAD1.1 datasets. BM25 recorded a higher performance of document research than TF-IDF by 3.2%. InferSent showed a higher performance in paragraph selection than Transformer by 0.9%. Finally, as the number of paragraphs increased in document comprehension, ALBERT was 0.4% higher in EM and 0.2% higher in F1.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452023","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

Open API-based Conversational Voice Interaction Scheme for Intelligent IoT Applications for the Digital Underprivileged 面向数字弱势群体的基于开放api的智能物联网会话语音交互方案

Korean Institute of Smart Media Pub Date : 2022-11-30 DOI: 10.30693/smj.2022.11.10.22

Joonhyouk Jang

引用次数: 0