2023 19th International Conference on Intelligent Environments (IE)最新文献

Greenhouse intelligent warning system for precision agriculture 面向精准农业的温室智能预警系统

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179105

Diego Padilla-Quimbiulco, Juan Morales-García, Magdalena Cantabella, Belén Ayuso, Andrés Muñoz, José M. Cecilia

{"title":"Greenhouse intelligent warning system for precision agriculture","authors":"Diego Padilla-Quimbiulco, Juan Morales-García, Magdalena Cantabella, Belén Ayuso, Andrés Muñoz, José M. Cecilia","doi":"10.1109/IE57519.2023.10179105","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179105","url":null,"abstract":"Greenhouses are complex systems where many variables are involved in order to optimize crops in an intensive agriculture framework. Therefore, monitoring and visualization of all these variables in real-time is mandatory to meet the trade-off between natural resource consumption and production maximization. In this article, we introduce an intelligent warning system to efficiently control agricultural activity in an operational greenhouse to increase productivity by optimizing crop production and energy consumption. The system includes a web application that allows the graphical and statistical representation of data measured by several sensors located inside a greenhouse. These sensors are located in strategic points that allow the reading of real-time data in a more accurate manner, therefore allowing the generation of information with the minimum percentage of error. In addition, the web application offers different data representations to allow a more exhaustive analysis of the data obtained. As a result, this warning system may help greenhouse managers to anticipate abnormal situations affecting their crops.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"30 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":"116739600","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

Smatable: A System to Transform Furniture into Interface using Vibration Sensor Smatable:一种利用振动传感器将家具转化为界面的系统

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179100

Makoto Yoshida, Tomokazu Matsui, Tokimune Ishiyama, Manato Fujimoto, H. Suwa, K. Yasumoto

{"title":"Smatable: A System to Transform Furniture into Interface using Vibration Sensor","authors":"Makoto Yoshida, Tomokazu Matsui, Tokimune Ishiyama, Manato Fujimoto, H. Suwa, K. Yasumoto","doi":"10.1109/IE57519.2023.10179100","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179100","url":null,"abstract":"Recently, with the spread of smart houses, the smartness of housing equipment and home appliances has progressed, and the functionality and usability of interfaces between people and equipment and between people and home appliances have become important factors. Currently, the main interfaces are remote controls, smartphone applications, and even voice recognition. Furthermore, research is also being conducted on interfaces that can be operated without having the device at hand using cameras and radio waves. However, special equipment must be installed for operation, and compatibility with room design has become an issue. In this research, we proposed a system to transform existing furniture into an interface rather than providing a new interface. The proposed system focused on vibration sensors that are small, inexpensive, and can be attached to existing furniture or hidden from view. To evaluate the proposed system, an experiment was conducted to transform existing furniture into an interface for swiping by simply attaching the vibration sensor to the existing furniture. Specifically, the system attaches four vibration sensors with synchronized output signals to a table and uses a CNN to learn the vibration data obtained from the sensors to predict the direction of the swipe. As a result, when the table and person swiping were fixed, the system could predict the swipe with an accuracy of over 0.86.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"148 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":"121303590","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

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model 基于自回归语言模型的传感器事件序列预测

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179111

Naoto Takeda, R. Legaspi, Yasutaka Nishimura, K. Ikeda, A. Minamikawa, T. Plötz, S. Chernova

{"title":"Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model","authors":"Naoto Takeda, R. Legaspi, Yasutaka Nishimura, K. Ikeda, A. Minamikawa, T. Plötz, S. Chernova","doi":"10.1109/IE57519.2023.10179111","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179111","url":null,"abstract":"We posit that predicting sensor event sequence (SES) in a smart home can proactively support resident activities or recognize activities that have not been completed as intended and alert the resident. To realize this application, we propose a framework to support accurate SES prediction by leveraging online activity recognition. Our framework includes a novel method of applying a GPT2-based model, which is a sentence generation model, for SES prediction by taking advantage of the property that the relationship between ongoing activity and SES patterns is similar to the relationship between topic and word sequence patterns in NLP. We evaluated our method empirically using two real-world datasets where residents perform their usual daily activities. Our experimental results show the use of the GPT2-based model significantly improves the F1 value of SES prediction from 0.461 to 0.708 compared to the state-of-the-art method, and that using ongoing activity can further improve performance to 0.837. We found that the performance of the online activity recognition model required to achieve these SES predictions was about 80%, which could be achieved using simple feature engineering and modeling.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"27 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":"132485583","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

Towards a Semantic Interoperability in IoTEnhanced Business Processes. An Event-Driven Solution based on Microservices 面向iotenenhanced业务流程的语义互操作性。基于微服务的事件驱动解决方案

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179096

Pedro Valderas, Victoria Torres

{"title":"Towards a Semantic Interoperability in IoTEnhanced Business Processes. An Event-Driven Solution based on Microservices","authors":"Pedro Valderas, Victoria Torres","doi":"10.1109/IE57519.2023.10179096","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179096","url":null,"abstract":"When Business Processes (BP) work with real-time data from the physical world, i.e., from data obtained from Internet of Things (IoT) devices, these are capable of taking more informed decisions to achieve a specific goal. However, such Iot-enhanced BPs, do not usually operated with the low-level data that is generated by such devices. Within this context, Complex Event Processing (CEP) systems are commonly integrated with BP engines to properly execute such Iot-enhanced BPs. However, IoT devices are heterogeneous by nature and CEP systems need to manage a technology heterogeneity in the data that make its processing a difficult task. In the same way, the myriad of technology solutions that exist for BP engines usually led to the creation of integration solutions that couple the CEP system with the integration API provided by a specific engine. All these issues make it difficult to adapt the system if technology requirements change. To facilitate decoupled interoperability among BP engines, CEP systems, and IoT devices in this paper we propose an architecture based on microservices, ontologies, and event-based communication which allows us to design a common communication model that is independent of technology. Specifically we propose. As a proof of concept, we have developed a tool to test and support the proposal against specific changes on technological requirements.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"74 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":"125183481","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

Evaluation of BehaviourCoach – An Exergaming Mobile Application Adapted for Mauritius 评价行为教练-一个适合毛里求斯的运动移动应用程序

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179107

Roushdat Elaheebocus, Aaisha Husnoo Moonien

{"title":"Evaluation of BehaviourCoach – An Exergaming Mobile Application Adapted for Mauritius","authors":"Roushdat Elaheebocus, Aaisha Husnoo Moonien","doi":"10.1109/IE57519.2023.10179107","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179107","url":null,"abstract":"There is evidence that the lack of physical activity and unhealthy nutrition are among the major contributing factors to health conditions such as type 2 diabetes, cardiovascular diseases and hypertension. BehaviourCoach is a mobile application developed using an in-house framework which proposes an adaptation of the world-famous Monopoly boardgame incorporating exergaming features. BehaviourCoach includes features to promote sustainable behaviour changes in terms of increased physical exercise and healthier nutrition among participants. Following the development of a first application based on the framework, this paper focuses on its evaluation in terms of usability and perceived impact on individuals. A randomized controlled trial intervention involving sixty (n = 60) participants was undertaken during which data was gathered through questionnaires, observation and interviews. Participants perceived the application as easy to engage with and more importantly, BehaviourCoach had a positive impact on their level of physical exercises, which was more pronounced among those who were less physically engaged prior to the intervention.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"98 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":"122616256","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

Air-Writing Segmentation using a single IMU-based system 使用基于单个imu的系统的空写分割

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179093

Junaid Younas, Shilpa Narayan, P. Lukowicz

引用次数: 0

A Two-step Automatic Calibration Method for Sensor Accuracy Management 传感器精度管理的两步自动校准方法

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179097

Takuya Yoshihiro

{"title":"A Two-step Automatic Calibration Method for Sensor Accuracy Management","authors":"Takuya Yoshihiro","doi":"10.1109/IE57519.2023.10179097","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179097","url":null,"abstract":"IoT technology has spread throughout the world and many applications have emerged that utilize large numbers of sensors. The concept of a sensor cloud, in which sensors are shared, has also emerged, and there is a need to manage and operate a large number of distributed sensors properly. However, in order for sensors to measure accurate values, periodic calibration is necessary, and performing this for all sensors is very costly and impractical. An automatic calibration method has been proposed as a method to calibrate a large number of sensors at once, taking advantage of the fact that the measurements of neighboring sensors take close values. However, these methods aim to find the optimal correction value, and it is impossible to know how accurate the correction value is. In this study, we propose a new automatic calibration method to keep the errors of all sensors sufficiently small. The proposed method uses a probability distribution to estimate the magnitude of error for each sensor, and periodically calibrates selected sensors based on this distribution to maintain the overall sensor accuracy at the required level. Through simulation evaluation, it is shown that the proposed method can maintain the accuracy of the sensors.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"13 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":"126300388","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

Maintenance of Model Resilience in Distributed Edge Learning Environments 分布式边缘学习环境中模型弹性的维护

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179109

Qiyuan Wang, C. Anagnostopoulos, J. Mateo-Fornés, Kostas Kolomvatsos, Andreas Vrachimis

{"title":"Maintenance of Model Resilience in Distributed Edge Learning Environments","authors":"Qiyuan Wang, C. Anagnostopoulos, J. Mateo-Fornés, Kostas Kolomvatsos, Andreas Vrachimis","doi":"10.1109/IE57519.2023.10179109","DOIUrl":"https://doi.org/10.1109/IE57519.2023.10179109","url":null,"abstract":"Distributed Machine Learning (DML) at the edge of the network involves model learning and inference across networking nodes over distributed data. One type of model learning could be the delivery of predictive analytics services to formulate intelligent environments, however, those environments heavily rely on real-time inference and are significantly influenced by changes in the underlying data (concept drifts). Moreover, the quality of service and availability in DML environments are directly tied to each node’s reliability, since such environments are highly susceptible to the impact of node failures. Even if such challenges can be tackled with distributed resilience mechanisms, their effectiveness and efficiency, due to concept drifts, should be maintained to ensure continuous and sustained quality of service. DML systems operate in dynamic environments, thus, they require their models to be updated according to the novel trends embedded in the new data they encounter. We, therefore, introduce several model maintenance mechanisms to ensure resilient DML systems in the long term when concept drifts emerge. We provide a comprehensive experimental evaluation of our resilience maintenance mechanisms over synthetic and real data showcasing their importance and applicability in edge learning environments.","PeriodicalId":439212,"journal":{"name":"2023 19th International Conference on Intelligent Environments (IE)","volume":"425 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":"116183121","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

Escape Route Strategies in Complex Emergency Situations using Deep Reinforcement Learning 基于深度强化学习的复杂紧急情况下的逃生路线策略

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179101

Timm Wächter, J. Rexilius, Matthias König

引用次数: 0

Essential Individual and Organizational Decision-Making for Smart Manufacturing 智能制造的基本个人和组织决策

2023 19th International Conference on Intelligent Environments (IE) Pub Date : 2023-06-01 DOI: 10.1109/IE57519.2023.10179110

T. Castor, M. Gregg, Molly McBride

引用次数: 0