Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268219
S. Mousavi, Mohammad Moghadasi, G. Fazekas
Utilizing dynamic resource allocation for load balancing is considered as an important optimization process of task scheduling in cloud computing. A poor scheduling policy may overload certain virtual machines while remaining virtual machines are idle. Accordingly, this paper proposes a hybrid load balancing algorithm with combination of Teaching-Learning-Based Optimization (TLBO) and Grey Wolves Optimization algorithms, which can well contribute in maximizing the throughput using well balanced load across virtual machines and overcome the problem of trap into local optimum. The hybrid algorithm is benchmarked on eleven test functions and a comparative study is conducted to verify the results with particle swarm optimization (PSO), Biogeography-based optimization (BBO), and GWO. To evaluate the performance of the proposed algorithm for load balancing, the hybrid algorithm is simulated and the experimental results are presented.
{"title":"Dynamic resource allocation using combinatorial methods in Cloud: A case study","authors":"S. Mousavi, Mohammad Moghadasi, G. Fazekas","doi":"10.1109/COGINFOCOM.2017.8268219","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268219","url":null,"abstract":"Utilizing dynamic resource allocation for load balancing is considered as an important optimization process of task scheduling in cloud computing. A poor scheduling policy may overload certain virtual machines while remaining virtual machines are idle. Accordingly, this paper proposes a hybrid load balancing algorithm with combination of Teaching-Learning-Based Optimization (TLBO) and Grey Wolves Optimization algorithms, which can well contribute in maximizing the throughput using well balanced load across virtual machines and overcome the problem of trap into local optimum. The hybrid algorithm is benchmarked on eleven test functions and a comparative study is conducted to verify the results with particle swarm optimization (PSO), Biogeography-based optimization (BBO), and GWO. To evaluate the performance of the proposed algorithm for load balancing, the hybrid algorithm is simulated and the experimental results are presented.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116565991","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268208
Dávid Sztahó, Miklós Gábriel Tulics, K. Vicsi, I. Valálik
Diseases, such as Parkinson, impairs cognitive processes of patients, through which speech is also affected. In this paper, we propose a method for Parkinson's disease severity level estimation based on speech rhythm related features extracted from running speech (read texts and monologue) uttered by Hungarian Parkinson patients and healthy control population. Classification and regression models are built using various machine-learning methods for both linguistic types separately. Separate and joint decisions were made for the different text types. The final prediction was obtained by fusing the separate estimations for each speaker. Test trials were run in order to investigate, if age is a relevant feature for the machine learning tasks. It was found that the investigated features are useful and highly relevant for the automatic diagnosis of Parkinson's disease based on the classification and regression performances. The best results were obtained using support vector machine (and regression) with 84.62% accuracy for binary classification and 0.735 Spearman correlation for Parkinson severity level estimation measured on the Hoehn-Yahr scale.
{"title":"Automatic estimation of severity of Parkinson's disease based on speech rhythm related features","authors":"Dávid Sztahó, Miklós Gábriel Tulics, K. Vicsi, I. Valálik","doi":"10.1109/COGINFOCOM.2017.8268208","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268208","url":null,"abstract":"Diseases, such as Parkinson, impairs cognitive processes of patients, through which speech is also affected. In this paper, we propose a method for Parkinson's disease severity level estimation based on speech rhythm related features extracted from running speech (read texts and monologue) uttered by Hungarian Parkinson patients and healthy control population. Classification and regression models are built using various machine-learning methods for both linguistic types separately. Separate and joint decisions were made for the different text types. The final prediction was obtained by fusing the separate estimations for each speaker. Test trials were run in order to investigate, if age is a relevant feature for the machine learning tasks. It was found that the investigated features are useful and highly relevant for the automatic diagnosis of Parkinson's disease based on the classification and regression performances. The best results were obtained using support vector machine (and regression) with 84.62% accuracy for binary classification and 0.735 Spearman correlation for Parkinson severity level estimation measured on the Hoehn-Yahr scale.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123081432","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268271
R. Klempous, Konrad Kluwak, Radosław Idzikowski, T. Nowobilski, Tomasz Zamojski
The construction industry is one of the most accident-prone sectors of the branch of industry. It is caused to construction site workers by numbers of danger factors which affect humans health and life. These danger factors may cause negative physical and mental effects by instant or long-term actions. Together with development and evolution of 3D technology in design, construction and use of buildings, new possibilities arise. In this article we will give an attempt to present study on this subject, with a use of exemplary factors and their impact on the environment. Supported by Virtual Reality (VR) simulation existing surroundings and analysis factors which have an influence on people will be presented.
{"title":"Possibility analysis of danger factors visualization in the construction environment based on Virtual Reality model","authors":"R. Klempous, Konrad Kluwak, Radosław Idzikowski, T. Nowobilski, Tomasz Zamojski","doi":"10.1109/COGINFOCOM.2017.8268271","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268271","url":null,"abstract":"The construction industry is one of the most accident-prone sectors of the branch of industry. It is caused to construction site workers by numbers of danger factors which affect humans health and life. These danger factors may cause negative physical and mental effects by instant or long-term actions. Together with development and evolution of 3D technology in design, construction and use of buildings, new possibilities arise. In this article we will give an attempt to present study on this subject, with a use of exemplary factors and their impact on the environment. Supported by Virtual Reality (VR) simulation existing surroundings and analysis factors which have an influence on people will be presented.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127971950","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268223
G. Kiss, K. Vicsi
In this study a cross-lingual investigation is presented about prediction possibilities of depression on the base of speech processing. Our examination was performed on three European languages: German, Hungarian and Italian. Those acoustic features were selected, as input vector of the predictor, which correlate with the severity of depression in quasi language-independent way. Several mono and cross-lingual experiments were conducted. The method is even capable of predicting the severity of depression in the case of a language not used during the training of the model. The experiments clearly show that multilingual depression recognition can be achieved, and it should be possible to construct an automated diagnostic tool for detecting depression, or for patient monitoring, in a cross-lingual way.
{"title":"Investigation of cross-lingual depression prediction possibilities based on speech processing","authors":"G. Kiss, K. Vicsi","doi":"10.1109/COGINFOCOM.2017.8268223","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268223","url":null,"abstract":"In this study a cross-lingual investigation is presented about prediction possibilities of depression on the base of speech processing. Our examination was performed on three European languages: German, Hungarian and Italian. Those acoustic features were selected, as input vector of the predictor, which correlate with the severity of depression in quasi language-independent way. Several mono and cross-lingual experiments were conducted. The method is even capable of predicting the severity of depression in the case of a language not used during the training of the model. The experiments clearly show that multilingual depression recognition can be achieved, and it should be possible to construct an automated diagnostic tool for detecting depression, or for patient monitoring, in a cross-lingual way.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883326","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268259
Dalma Geszten, Balázs Péter Hámomik, K. Hercegfi
These days, people usually work together in teams because it is believed that people work effectively together. That is why teamwork and different team phenomena are popular research areas in the last few decades. As teamwork became a common form of work, more and more software's aim is to help the team members' collaboration, which creates a special problem in usability testing. There are several usability methods for individual tests, but only a few for groups and teams. We argue that there might be usability problems which only occur in a team situation, so it is necessary to complete individual methods with team methods when testing collaborative software. As a collaborative software aims to help collaboration, it is a highly relevant problem. Therefore, we attempt to create a new empirical team usability testing method. It will fill the above mentioned gap in usability testing methods as it will be an empirical method which helps to better understand the usability problems of collaborative software. This paper proposes research directions to examine how the measurement of team mental model would fit in this new method.
{"title":"Measurement of team mental model as a part of a new team usability testing method: A proposed research agenda","authors":"Dalma Geszten, Balázs Péter Hámomik, K. Hercegfi","doi":"10.1109/COGINFOCOM.2017.8268259","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268259","url":null,"abstract":"These days, people usually work together in teams because it is believed that people work effectively together. That is why teamwork and different team phenomena are popular research areas in the last few decades. As teamwork became a common form of work, more and more software's aim is to help the team members' collaboration, which creates a special problem in usability testing. There are several usability methods for individual tests, but only a few for groups and teams. We argue that there might be usability problems which only occur in a team situation, so it is necessary to complete individual methods with team methods when testing collaborative software. As a collaborative software aims to help collaboration, it is a highly relevant problem. Therefore, we attempt to create a new empirical team usability testing method. It will fill the above mentioned gap in usability testing methods as it will be an empirical method which helps to better understand the usability problems of collaborative software. This paper proposes research directions to examine how the measurement of team mental model would fit in this new method.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121603978","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}
Pub Date : 2017-07-02DOI: 10.1109/COGINFOCOM.2017.8268216
Atsushi Ito, Rina Hayashi, Hiroyuki Hatano, K. Shoji, Mie Sato, Y. Hiramatsu, F. Sato, K. Ueda, Y. Harada, Miwa Morishita, Akira Sasaki
In this paper, we discuss the effectiveness of our cognitive model for sightseeing support system using BLE beacon in Nikko, a world cultural heritage in Japan. We introduced Zeigarnik Effect to design the cognitive model. In this cognitive model, an unknown part remains in our memory during a trip and that part is transformed to be an unknown expectation after the trip, and this unknown expectation will be a driver to visit there again. Last year, we performed a trial to check the effectiveness of our cognitive model and application. As the result, we found that our cognitive model could increase expectation of the trip. In addition, we extend the cognitive model to increase visitors to Nikko.
{"title":"A cognitive model of sightseeing for mobile support system","authors":"Atsushi Ito, Rina Hayashi, Hiroyuki Hatano, K. Shoji, Mie Sato, Y. Hiramatsu, F. Sato, K. Ueda, Y. Harada, Miwa Morishita, Akira Sasaki","doi":"10.1109/COGINFOCOM.2017.8268216","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268216","url":null,"abstract":"In this paper, we discuss the effectiveness of our cognitive model for sightseeing support system using BLE beacon in Nikko, a world cultural heritage in Japan. We introduced Zeigarnik Effect to design the cognitive model. In this cognitive model, an unknown part remains in our memory during a trip and that part is transformed to be an unknown expectation after the trip, and this unknown expectation will be a driver to visit there again. Last year, we performed a trial to check the effectiveness of our cognitive model and application. As the result, we found that our cognitive model could increase expectation of the trip. In addition, we extend the cognitive model to increase visitors to Nikko.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123466859","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}
Pub Date : 1900-01-01DOI: 10.1109/coginfocom.2017.8268294
P. Várlaki, P. Baranyi
The paper discusses, through a comparative hermeneutical microanalysis, identical and very similar representational (iconographic) and meaning systems of such great medieval art-works as the Limburg Staurotheke, Orthodox Metal Icons and the “Archangel enamel pictures” of the Holy Crown of St Stephen of Hungary. The basis of the comparison is the discussed hidden mystical writings of the Great Monarch in part I of the paper.
{"title":"Cognitive and spiritual revolution of the tenth century — Constantine porphyrogenitus and his hidden world: Part II. The Great Monarch's hidden world in the great medieval artistic works","authors":"P. Várlaki, P. Baranyi","doi":"10.1109/coginfocom.2017.8268294","DOIUrl":"https://doi.org/10.1109/coginfocom.2017.8268294","url":null,"abstract":"The paper discusses, through a comparative hermeneutical microanalysis, identical and very similar representational (iconographic) and meaning systems of such great medieval art-works as the Limburg Staurotheke, Orthodox Metal Icons and the “Archangel enamel pictures” of the Holy Crown of St Stephen of Hungary. The basis of the comparison is the discussed hidden mystical writings of the Great Monarch in part I of the paper.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122609351","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：