2023 19th International Conference on Intelligent Environments (IE)最新文献_第2页

Enhancing smartness in second-home tourism destinations through social sensing for predicting occupancy levels 通过社会感知预测入住率，提升第二故乡旅游目的地的智慧度

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179103

Constancio Amurrio Garcìa, M. A. Celdrán-Bernabeu, J. Mazón, Juan-Carlos Cano, José M. Cecilia

{"title":"Enhancing smartness in second-home tourism destinations through social sensing for predicting occupancy levels","authors":"Constancio Amurrio Garcìa, M. A. Celdrán-Bernabeu, J. Mazón, Juan-Carlos Cano, José M. Cecilia","doi":"10.1109/IE57519.2023.10179103","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179103","url":null,"abstract":"Tourism is one of the most relevant socio-economic sectors worldwide. However, intensive tourism has caused significant social, urban, and environmental problems. In order to improve tourism management processes and within the context of a smart tourism scenario, renewed management approaches are emerging with the aim to use the latest IT technologies to increase profits and offer new sustainable models in tourism destinations. Importantly, one key issue in tourism destinations for supporting management and planning is predicting tourist occupancy. Unfortunately, the so-called second-home tourism destinations have no reliable accommodation data coming from hospitality establishments. To overcome this pitfall, in this article, the prediction of tourist occupancy is presented based on the analysis of residential accommodation booking data and people’s comments on social networks. The analysis focuses on Torrevieja (South-eastern Spain); one of the most important second-home tourist destinations worldwide. On one hand, an ARIMA model is carried out with the time series of AirBnB bookings. On the other hand, Twitter data related to Torrevieja is analyzed by identifying main topics and entities. Our results show that AirBnB bookings estimation can be made by measuring the number of people sending posts on Twitter about tourism-related topics.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780247","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

Bridging the Gap: Intelligent Environments with Smart Materials 弥合差距:智能材料的智能环境

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179095

H. Schmidtke, Mena Leemhuis, Jana Mertens, R. Courant, Jürgen Maas, Ö. Özçep

{"title":"Bridging the Gap: Intelligent Environments with Smart Materials","authors":"H. Schmidtke, Mena Leemhuis, Jana Mertens, R. Courant, Jürgen Maas, Ö. Özçep","doi":"10.1109/IE57519.2023.10179095","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179095","url":null,"abstract":"Smart Materials (SMat) promise to open new opportunities in the area of Intelligent Environments (IE), whether as part of dedicated smart devices or as the fabric constituting everyday appliances and building infrastructure. Through the use of ontologies both IE engineers and the IEs themselves can be aware of, and predict, how novel configurable and changing materials react under different conditions. In contrast to conventional Smart Objects, however, as computational software/hardware-systems, lending themselves to the object-oriented perspective of conventional ontology specification languages, SMat and IE in the wider sense require a perspective focussing on extended spaces and numerical domains. Both are known to be problematic in terms of usability and computational complexity for the traditional object-oriented languages, with even very basic notions already leading into undecidability. Context Logic (CL), in contrast, is a formalism specialized for these domains. This paper demonstrates how terminology from this area involving extended spaces and numerical domains can be modeled in CL.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123362230","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

Multi-Person Tracking Method Robust to Dynamic Viewport Changes for AR apps 对AR应用程序动态视口变化具有鲁棒性的多人跟踪方法

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179092

Naoya Takahashi, Tatsuya Amano, H. Yamaguchi

引用次数: 0

Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers 公共行政工作人员职业风险因素一周多模式数据采集

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179099

Eduarda Oliosi, Phillip Probst, João Rodrigues, Luís Silva, Daniel Zagalo, Cátia Cepeda, Hugo Gamboa

{"title":"Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers","authors":"Eduarda Oliosi, Phillip Probst, João Rodrigues, Luís Silva, Daniel Zagalo, Cátia Cepeda, Hugo Gamboa","doi":"10.1109/IE57519.2023.10179099","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179099","url":null,"abstract":"Work-related disorders are a growing issue for office workers and represent a significant burden to public health. Work aspects such as sitting for prolonged periods and occupational stress are modifiable risk factors highly associated with occupational disorders in office workers. The PrevOccu-pAI Project (Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence) objectively investigates relationships between a variety of occupational risk factors and physiological outcomes. For this purpose, a data acquisition protocol was carried out at the Portuguese Tax and Customs Authority. Physiological, movement, and environmental signals from office workers were acquired during five consecutive workdays using a smartphone, a smartwatch, and two electromyography sensors. Additionally, demographic, occupational, and pain information were collected through questionnaires. The present manuscript provides a detailed description of the PrevOccupAI acquisition protocol. The collected data is used to gather knowledge regarding modifiable factors at the individual and organisational levels.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121319839","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 TinyML-Approach to Detect the Proximity of People Based on Bluetooth Low Energy Beacons 一种基于蓝牙低能信标的人的近距离检测方法

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179090

M. Girolami, Francesco Fattori, S. Chessa

引用次数: 0

Unsupervised Segmentation of Smart Home Position Logs for Human Activity Analysis 用于人类活动分析的智能家居位置日志的无监督分割

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179098

F. Leotta, Massimo Mecella, Silvestro V. Veneruso

引用次数: 0

Estimation of Chl-a in highly anthropized environments using machine learning and remote sensing 利用机器学习和遥感估算高度人化环境下的Chl-a

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179108

José G. Giménez, Raquel Martínez-España, Juan-Carlos Cano, José M. Cecilia

引用次数: 0

A real-time traffic alert system based on image recognition: A case of study in Spain 基于图像识别的实时交通报警系统:以西班牙为例研究

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179106

Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras, Sara Balderas-Díaz, A. Bueno-Crespo

{"title":"A real-time traffic alert system based on image recognition: A case of study in Spain","authors":"Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras, Sara Balderas-Díaz, A. Bueno-Crespo","doi":"10.1109/IE57519.2023.10179106","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179106","url":null,"abstract":"The management of road traffic incidents is a problem faced by governments in many countries. Normally, road operators have the infrastructure in place to monitor such incidents, albeit in a reactive manner. In Spain, there are traffic cameras on major roads to check for possible incidents, however, incident notification is slow and not automated. As an alternative, this paper proposes a system for automatic real-time traffic alerts. Thus, 1,500 camera images from the Dirección General de Tráfico (DGT) deployed on the main Spanish roads are analyzed in real time every 4 minutes. These images are not preprocessed, they have different qualities and are also affected by weather conditions such as fog, rain, sun reflections, etc. The system uses several Deep Learning classification models trained on a well-known dataset of traffic images including flowing traffic, dense traffic, accidents and fires. These models are used to classify the DGT images in real time, with satisfactory initial results, detecting both flowing traffic and dense traffic.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115747496","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

Modelling the Localization Error of an AoA-based Localization System 基于aoa的定位系统定位误差建模

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179094

Francesco Furfari, P. Barsocchi, M. Girolami, Fabio Mavilia

引用次数: 0