2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)最新文献

The Evaluation of Interviewer's Presentation Styles for Interview Practice with a Communicative Robot 交流机器人面试练习中采访者陈述风格的评价

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960273

Mako Komatsu, Masato Takeuchi, Teruhiko Unoki, M. Shikida

{"title":"The Evaluation of Interviewer's Presentation Styles for Interview Practice with a Communicative Robot","authors":"Mako Komatsu, Masato Takeuchi, Teruhiko Unoki, M. Shikida","doi":"10.1109/iSAI-NLP56921.2022.9960273","DOIUrl":"https://doi.org/10.1109/iSAI-NLP56921.2022.9960273","url":null,"abstract":"The impact of COVID-19 has led to the shift of job interviews online. There is now a return to face-to-face interviews in important situations, such as the final interview. However, it is still difficult to practice face-to-face interviews, and there is a growing need to practice face-to-face interviews alone or remotely. The problems with practicing interviews alone are that there is no listener in front of the practitioner, so the practitioner does not feel the nervousness about being watched and evaluated. In this paper, we aim to support these issues by using a small communication robot. We conduct experiments under six conditions: practicing alone, with a person face-to-face, with an autonomous robot, with a teleoperated robot, with an avatar remotely, and with a person remotely. Then we examine the influence of the practice style, such as the practitioner's nervousness. The results suggest that the most effective practice is possible when practicing with a person, regardless of whether it is face-to-face or remotely, but that the interview practice support with a small communicative robot is useful in the current social situation.","PeriodicalId":399019,"journal":{"name":"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479553","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

Syllable-to-Syllable and Word-to-Word Transducers for Burmese Dialect Translation 缅甸方言翻译的音节到音节和词到词转换器

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960259

Thazin Myint Oo, T. Tanprasert, Ye Kyaw Thu, T. Supnithi

引用次数: 0

Rice Leaf Diseases Identify Using Big Transfer 利用大移栽技术鉴定水稻叶片病害

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960264

Anurak Yutthanawa, Janya Onpans

引用次数: 0

The Effect of Beta-Carotene contain in The Pumpkin using IoT Technology in Polyhouse 物联网技术对Polyhouse南瓜中β -胡萝卜素含量的影响

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960283

Kanitha Homjun, Kasree Namkane, Sirilux Kaewsirirung, Nongnuch Ketui, Worawit Fankam-ai

{"title":"The Effect of Beta-Carotene contain in The Pumpkin using IoT Technology in Polyhouse","authors":"Kanitha Homjun, Kasree Namkane, Sirilux Kaewsirirung, Nongnuch Ketui, Worawit Fankam-ai","doi":"10.1109/iSAI-NLP56921.2022.9960283","DOIUrl":"https://doi.org/10.1109/iSAI-NLP56921.2022.9960283","url":null,"abstract":"Pumpkins contain a significant amount of beta-carotene. Beta-Carotene has numerous biological functions in the human body and because human is not able to synthesize any of them, it is necessary to supply these valuable compounds with food or pharmaceuticals. Internet of thing (IoT) in agriculture is not only reduce the man efforts but also improve the productivity and the efficiency. This research is primarily about the study of effect of beta-carotene in pumpkin between polyhouse and outdoor, because polyhouse is a closed structure protect the plants from weather conditions, insect and pest attacks. The irrigation in polyhouse using automatic drip irrigation, which operate according to the soil moisture threshold. Air temperature control using Fan based on temperature threshold. Analysis of beta carotene contain in pumpkin samples with polyhouse and outdoor process were determined by the samples were collected for three time periods found that the linear regression equation of the curve was y = 0.2111x-0.09161, with a coefficient r2 = 0.9975. The result show that, plants growing in the green house most are higher than the outdoor.","PeriodicalId":399019,"journal":{"name":"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128541875","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

Spherical Fuzzy AHP-VIKOR Model Application in Solar Energy Location Selection Problem: A Case Study in Vietnam 球面模糊AHP-VIKOR模型在太阳能选址问题中的应用:以越南为例

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960249

Viet Tinh Nguyen, Rujira Chaysiri

引用次数: 0

Factors Affecting Purchase Intention to Coffee Shop 影响咖啡店购买意愿的因素

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960244

Prapavarin Buranananont, A. Dumrongsiri, P. Chanvarasuth, Pornpimol Chongphaisal

引用次数: 0

Synthetic face generation from in-the-wild face components swapping 从野外人脸组件交换生成合成人脸

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960274

Romrawin Chumpu, Pitchayagan Temniranrat, S. Marukatat

引用次数: 1

Long-Term Energy Demand Forecasting in Thailand with Ensemble Prediction Model 基于集合预测模型的泰国长期能源需求预测

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960242

I. Chatunapalak, W. Kongprawechnon, J. Kudtongngam

引用次数: 0

Modeling of Manufacturing Processes using Hidden Semi-Markov Model and RSSI data 基于隐半马尔可夫模型和RSSI数据的制造过程建模

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960270

S. Vorapojpisut, Karishma Agrawal

引用次数: 1

Smartphone-Based Human Activity and Fall Recognition Using Deep Feature Extraction and Machine-Learning Classifiers 基于智能手机的人类活动和跌倒识别，使用深度特征提取和机器学习分类器

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) Pub Date : 2022-11-05 DOI: 10.1109/iSAI-NLP56921.2022.9960250

Laksamee Nooyimsai, Onnicha Pakdeepong, Supajitra Chatchawalvoradech, Tipkasem Phiakhan, Seksan Laitrakun

{"title":"Smartphone-Based Human Activity and Fall Recognition Using Deep Feature Extraction and Machine-Learning Classifiers","authors":"Laksamee Nooyimsai, Onnicha Pakdeepong, Supajitra Chatchawalvoradech, Tipkasem Phiakhan, Seksan Laitrakun","doi":"10.1109/iSAI-NLP56921.2022.9960250","DOIUrl":"https://doi.org/10.1109/iSAI-NLP56921.2022.9960250","url":null,"abstract":"Human activity recognition (HAR) and fall detection using smartphone sensors are currently popular because they can be extended to many useful applications especially when a person needs an urgent treatment such as a fall. Several methods based on machine learning (ML) and deep learning (DL) have been proposed to improve classification performances. In this work, we propose hybrid models of convolutional neural network (CNN) models and ML algorithms to classify human activities and falls using smartphone-sensor data. The CNN model will be used as feature extraction to extract a set of features. Thereafter, the ML algorithm will apply this set of features to predict the corresponding activity and fall. Several combinations of CNN models and ML algorithms are investigated on two public datasets: UniMiB SHAR and UMAFall. Their accuracy scores are compared in order to determine the best hybrid model. On the UniMiB SHAR dataset, the hybrid model based on the AlexN et model and the extra trees algorithm achieves the highest accuracy score of 95.27%. On the UMAFall dataset, the hybrid model based on the Xception model and the support vector machine/k-nearest neighbors/extra trees algorithms offer the highest accuracy score of 82.24 %.","PeriodicalId":399019,"journal":{"name":"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080918","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