Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.
{"title":"Packet Damage-Resistant Analysis Using a Data Mining Mechanism in Wireless Sensor Networks","authors":"Jinsuk Baek, P. Fisher","doi":"10.1109/IE.2017.27","DOIUrl":"https://doi.org/10.1109/IE.2017.27","url":null,"abstract":"Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310622","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}
Fábio Silva, Cesar Analide de Freitase Silva da Costa Rodrigues
The use of ubiquitous devices on large environment such as smart-cities enables opportunities to solve more complex problems and react to changes quicker. Namely the use of computational resources to assist the management of environment through predicament of parameters based on sustainable indicators applied to smart-cities. This paper considers the creation of a computational sustainability archetype platform which generates contexts supported by principles of computation sustainability and the assurance of sustainable scenarios. Context gathering and predicament is used based on indicators obtained from the environment over public services, sensors networks and ubiquitous devices which are used to create indicators based on the fusion of data.
{"title":"Computational Sustainability for Smart City Design","authors":"Fábio Silva, Cesar Analide de Freitase Silva da Costa Rodrigues","doi":"10.1109/IE.2017.11","DOIUrl":"https://doi.org/10.1109/IE.2017.11","url":null,"abstract":"The use of ubiquitous devices on large environment such as smart-cities enables opportunities to solve more complex problems and react to changes quicker. Namely the use of computational resources to assist the management of environment through predicament of parameters based on sustainable indicators applied to smart-cities. This paper considers the creation of a computational sustainability archetype platform which generates contexts supported by principles of computation sustainability and the assurance of sustainable scenarios. Context gathering and predicament is used based on indicators obtained from the environment over public services, sensors networks and ubiquitous devices which are used to create indicators based on the fusion of data.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106508","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}
Our trust always changes due to various conditions. We call it dynamics of trust. Researching about the change of trust is a necessary task because it could be applied into diverse applications such as trust-based recommendation systems. In this paper, our target is to i) propose a general definition of trust, ii) define temporal and spatial patterns for representing how trust changes. They can be used as the output of trust-based recommendation systems, and iii) proving the effectiveness of our proposition on a case study between a Twitter user and a restaurant. Moreover, this research could be applied to various areas (e.g., e-leaning environment and search system).
{"title":"Utilizing Dynamics Patterns of Trust for Recommendation System","authors":"H. L. Nguyen, Jason J. Jung","doi":"10.1109/IE.2017.15","DOIUrl":"https://doi.org/10.1109/IE.2017.15","url":null,"abstract":"Our trust always changes due to various conditions. We call it dynamics of trust. Researching about the change of trust is a necessary task because it could be applied into diverse applications such as trust-based recommendation systems. In this paper, our target is to i) propose a general definition of trust, ii) define temporal and spatial patterns for representing how trust changes. They can be used as the output of trust-based recommendation systems, and iii) proving the effectiveness of our proposition on a case study between a Twitter user and a restaurant. Moreover, this research could be applied to various areas (e.g., e-leaning environment and search system).","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127411959","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}
Bozidara Cvetkovic, M. Gjoreski, Jure Sorn, Martin Freser, Maciej Bogdanski, Katarzyna Jackowska, Michal Kosiedowski, Aleksander Stroinski, M. Luštrek
We present the Fit4Work system for monitoring and management of physical, mental and environmental stress at the workplace. The system was designed specifically for older workers who are subject to sedentary stressful work in an office environment. It uses commercially available devices and intelligent methods, which utilize machine-learning models to monitor the three aspects of the users' lifestyle, and provide recommendations for improving them. The results show that the system can adequately recognize the user's physical activities, estimate energy expenditure and detect mental stress, as well as recognize and reason about unhealthy environment. The system provides recommendations according to the monitoring results.
{"title":"Management of Physical, Mental and Environmental Stress at the Workplace","authors":"Bozidara Cvetkovic, M. Gjoreski, Jure Sorn, Martin Freser, Maciej Bogdanski, Katarzyna Jackowska, Michal Kosiedowski, Aleksander Stroinski, M. Luštrek","doi":"10.1109/IE.2017.20","DOIUrl":"https://doi.org/10.1109/IE.2017.20","url":null,"abstract":"We present the Fit4Work system for monitoring and management of physical, mental and environmental stress at the workplace. The system was designed specifically for older workers who are subject to sedentary stressful work in an office environment. It uses commercially available devices and intelligent methods, which utilize machine-learning models to monitor the three aspects of the users' lifestyle, and provide recommendations for improving them. The results show that the system can adequately recognize the user's physical activities, estimate energy expenditure and detect mental stress, as well as recognize and reason about unhealthy environment. The system provides recommendations according to the monitoring results.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123451270","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}
Renato Rodrigues, Augusto J. Mendes, Davide Carneiro, M. Amorim, A. Pinheiro, P. Novais
The ability to recognize emotions in spoken words is central in human communication and social relationships. When studying one's ability to perceive emotions, the standard paradigm is to have listeners choose which one of several emotion words best characterizes linguistically neutral utterances made by actors attempting to portray various emotional states. Usually, generic experiment control software are used, which may present several limitations. In this paper we present a novel approach to the problem, based on a mobile application that can be easily configured by the researcher to set up the desired protocol. This approach not only facilitates and improves study design and data collection, but also provides a plethora of new variables about the participants that, to the best of our knowledge, have never been considered before in this domain, including behavioural research.
{"title":"An Application to Enrich the Study of Auditory Emotion Recognition","authors":"Renato Rodrigues, Augusto J. Mendes, Davide Carneiro, M. Amorim, A. Pinheiro, P. Novais","doi":"10.1109/IE.2017.10","DOIUrl":"https://doi.org/10.1109/IE.2017.10","url":null,"abstract":"The ability to recognize emotions in spoken words is central in human communication and social relationships. When studying one's ability to perceive emotions, the standard paradigm is to have listeners choose which one of several emotion words best characterizes linguistically neutral utterances made by actors attempting to portray various emotional states. Usually, generic experiment control software are used, which may present several limitations. In this paper we present a novel approach to the problem, based on a mobile application that can be easily configured by the researcher to set up the desired protocol. This approach not only facilitates and improves study design and data collection, but also provides a plethora of new variables about the participants that, to the best of our knowledge, have never been considered before in this domain, including behavioural research.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114350774","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}
In topology representations such as maps, carbon nanotubes, and cellular networks, neighboring cells are assigned different exclusive colors to represent different characteristics. In the previous research, based on the fourcolor theorem, an algorithm that can allocate exclusive channels among neighbors using only four channels in a polygonal cluster sensor network is proposed. The performance of this algorithm in various and complex topologies has not been well evaluated. In this study, we develop a simulator that generates various complex polygonal topologies based on the Voronoi diagrams and assigns the colors on the entire topology using only four colors based on the proposed algorithm, and tests the cases of color collision between adjacent cells. In order to evaluate the performance of the algorithm, experiments are conducted to assign colors in a topology composed of hexagonal cells of equal size, and it is confirmed that three colors are efficient for exclusive coloring in the neighborhood. In the complex polygonal cell topology, we have confirmed that the developed simulator is working properly. We also confirm that the difference in performance according to the color allocation order. For the future studies, we will study some efficient methods for decreasing color collisions and fast resolving of collision.
{"title":"A Simulator for Performance Comparison of Four Color Allocation","authors":"Shinheon Kim, KyuJin Kim, Chonggun Kim","doi":"10.1109/IE.2017.39","DOIUrl":"https://doi.org/10.1109/IE.2017.39","url":null,"abstract":"In topology representations such as maps, carbon nanotubes, and cellular networks, neighboring cells are assigned different exclusive colors to represent different characteristics. In the previous research, based on the fourcolor theorem, an algorithm that can allocate exclusive channels among neighbors using only four channels in a polygonal cluster sensor network is proposed. The performance of this algorithm in various and complex topologies has not been well evaluated. In this study, we develop a simulator that generates various complex polygonal topologies based on the Voronoi diagrams and assigns the colors on the entire topology using only four colors based on the proposed algorithm, and tests the cases of color collision between adjacent cells. In order to evaluate the performance of the algorithm, experiments are conducted to assign colors in a topology composed of hexagonal cells of equal size, and it is confirmed that three colors are efficient for exclusive coloring in the neighborhood. In the complex polygonal cell topology, we have confirmed that the developed simulator is working properly. We also confirm that the difference in performance according to the color allocation order. For the future studies, we will study some efficient methods for decreasing color collisions and fast resolving of collision.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122244682","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}
Antonio V. Contreras, Sergio Navarro, Antonio Llanes, Andrés Muñoz, H. Sánchez, J. Cecilia
The efficient market hypothesis (EMH) affirms that asset prices should reveal all available information. Therefore, it is impossible to "beat the market" always on a risk-adjusted basis since market prices should only respond to new information. Here, we propose a new model to validate the EMH that is inspired on an elastic network model. More specifically, we apply this comparison to Foreign Exchange (FOREX) market under some restrictive conditions. In our hypothesis, several interaction potentials are used to characterize the interaction between banks and each particular quotation. This hypothesis comes from the study of several natural systems, such as macromolecules in solution. An algorithm based on the Monte Carlo methods is also presented in order to predict the evolution of the system.
{"title":"The Forex Market as an Elastic Network Model","authors":"Antonio V. Contreras, Sergio Navarro, Antonio Llanes, Andrés Muñoz, H. Sánchez, J. Cecilia","doi":"10.1109/IE.2017.36","DOIUrl":"https://doi.org/10.1109/IE.2017.36","url":null,"abstract":"The efficient market hypothesis (EMH) affirms that asset prices should reveal all available information. Therefore, it is impossible to \"beat the market\" always on a risk-adjusted basis since market prices should only respond to new information. Here, we propose a new model to validate the EMH that is inspired on an elastic network model. More specifically, we apply this comparison to Foreign Exchange (FOREX) market under some restrictive conditions. In our hypothesis, several interaction potentials are used to characterize the interaction between banks and each particular quotation. This hypothesis comes from the study of several natural systems, such as macromolecules in solution. An algorithm based on the Monte Carlo methods is also presented in order to predict the evolution of the system.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129814653","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}
A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multi-dimensional data at two different time points. For human evaluation, the method has been applied to MyMovieHistory (which a social recommendation system by storing personal movie logs) and tested with a number of users.
{"title":"Understanding Your History: Multi-dimensional Data Stream Visualization of Personal Lifelogging Data","authors":"Minsung Hong, Jason J. Jung","doi":"10.1109/IE.2017.13","DOIUrl":"https://doi.org/10.1109/IE.2017.13","url":null,"abstract":"A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multi-dimensional data at two different time points. For human evaluation, the method has been applied to MyMovieHistory (which a social recommendation system by storing personal movie logs) and tested with a number of users.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121446292","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}
In the era of the Internet, people are active in multiple online services, and they usually have accounts on more than one online service. Each account is a virtual identity of the user. In order to trace individual's online behavior at any time and any places, linking virtual identities belonging to the same natural person across different online service domains is very important. Existing methods usually tackle this problem by estimating the profile content similarity between identities under two different online services. However, the profile contents in various online services are unreliable or misaligned, and the proposed methods are always limited to services in a specific domain. In this paper, we propose VISD (Virtual Identity linkage cross Service Domain), a novel probability-based model, to link virtual identities across online services in various service domains. It derives several significant attributes from users' online behaviors, such as IP address usage, various fingerprints of terminals, and leverages a supervised classification method to discover the relationship between two identities. By using real-world network traffic collected from a large province of southern China, we evaluate the VISD model and the linkage precision achieves 88.31%. The result demonstrates the effectiveness of our proposed model, which is helpful for social recommendations, information security and privacy protection.
在互联网时代，人们活跃于多种在线服务，通常在多个在线服务上拥有账户。每个帐户都是用户的虚拟身份。为了在任何时间、任何地点追踪个人的网络行为，将属于同一自然人的虚拟身份跨不同的网络服务域连接起来是非常重要的。现有的方法通常是通过估计两种不同在线服务下身份之间的配置文件内容相似度来解决这一问题。然而，各种在线服务中的概要文件内容不可靠或不对齐，所提出的方法总是局限于特定领域的服务。本文提出了一种基于概率的虚拟身份跨服务域链接模型(VISD, Virtual Identity linkage cross Service Domain)。它从用户的上网行为中提取出IP地址使用情况、终端的各种指纹等重要属性，并利用监督分类方法发现两个身份之间的关系。利用中国南方某大省份的真实网络流量对VISD模型进行了评价，联动精度达到了88.31%。结果表明了该模型的有效性，对社会推荐、信息安全和隐私保护具有一定的指导意义。
{"title":"Linking Virtual Identities across Service Domains: An Online Behavior Modeling Approach","authors":"Yan Wu, Qiujian Lv, Yuanyuan Qiao, Jie Yang","doi":"10.1109/IE.2017.29","DOIUrl":"https://doi.org/10.1109/IE.2017.29","url":null,"abstract":"In the era of the Internet, people are active in multiple online services, and they usually have accounts on more than one online service. Each account is a virtual identity of the user. In order to trace individual's online behavior at any time and any places, linking virtual identities belonging to the same natural person across different online service domains is very important. Existing methods usually tackle this problem by estimating the profile content similarity between identities under two different online services. However, the profile contents in various online services are unreliable or misaligned, and the proposed methods are always limited to services in a specific domain. In this paper, we propose VISD (Virtual Identity linkage cross Service Domain), a novel probability-based model, to link virtual identities across online services in various service domains. It derives several significant attributes from users' online behaviors, such as IP address usage, various fingerprints of terminals, and leverages a supervised classification method to discover the relationship between two identities. By using real-world network traffic collected from a large province of southern China, we evaluate the VISD model and the linkage precision achieves 88.31%. The result demonstrates the effectiveness of our proposed model, which is helpful for social recommendations, information security and privacy protection.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123114700","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}
M. Gjoreski, M. Simjanoska, A. Gradišek, A. Peterlin, M. Gams, G. Poglajen
Chronic heart failure represents a global pandemic, currently affecting over 26 million of patients worldwide. It is a major contributor in the death rate of patients with cardiovascular diseases and results in more than 1 million hospitalizations annually in Europe and North America. Methods for chronic heart failure detection can be utilized to act preventive, improve early diagnosis and avoid hospitalizations or even life-threatening situations, thus highly enhance the quality of patient’s life. In this paper, we present a machine-learning method for chronic heart failure detection from heart sounds. The method consists of: filtering, segmentation, feature extraction and machine learning. The method was tested with a leave-one-subject-out evaluation technique on data from 122 subjects, gathered in the study. The method achieved 96% accuracy, outperforming a majority classifier for 15 percentage points. More specifically, it detects (recalls) 87% of the chronic heart failure subjects with a precision of 87%. The study confirmed that advanced machine learning applied on real-life sounds recorded with an unobtrusive digital stethoscope can be used for chronic heart failure detection.
{"title":"Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers","authors":"M. Gjoreski, M. Simjanoska, A. Gradišek, A. Peterlin, M. Gams, G. Poglajen","doi":"10.1109/IE.2017.19","DOIUrl":"https://doi.org/10.1109/IE.2017.19","url":null,"abstract":"Chronic heart failure represents a global pandemic, currently affecting over 26 million of patients worldwide. It is a major contributor in the death rate of patients with cardiovascular diseases and results in more than 1 million hospitalizations annually in Europe and North America. Methods for chronic heart failure detection can be utilized to act preventive, improve early diagnosis and avoid hospitalizations or even life-threatening situations, thus highly enhance the quality of patient’s life. In this paper, we present a machine-learning method for chronic heart failure detection from heart sounds. The method consists of: filtering, segmentation, feature extraction and machine learning. The method was tested with a leave-one-subject-out evaluation technique on data from 122 subjects, gathered in the study. The method achieved 96% accuracy, outperforming a majority classifier for 15 percentage points. More specifically, it detects (recalls) 87% of the chronic heart failure subjects with a precision of 87%. The study confirmed that advanced machine learning applied on real-life sounds recorded with an unobtrusive digital stethoscope can be used for chronic heart failure detection.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124572066","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}
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