Pub Date : 2018-11-01DOI: 10.1109/ICUMT.2018.8631200
Amnir Hadachi, Artjom Lind, Joonas Lomps, P. Piksarv
Understanding human mobility in dynamic environments, such as our cities, is a crucial step toward the development of our economy, our environment, our transportation, as well as our well-being. Therefore, there is a need to rely on a sensor or a source of information, such as mobile phone data, that can help us to sense these urban dynamics. From this viewpoint, we are focusing on demonstrating and presenting our concept idea that relies on a new method based on switching Kalman filter that enables the extraction of mobility patterns and through its analysis discovering mobility hubs where the urban mobility converges or diverges using mobile data, especially CDR data.
{"title":"From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks","authors":"Amnir Hadachi, Artjom Lind, Joonas Lomps, P. Piksarv","doi":"10.1109/ICUMT.2018.8631200","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631200","url":null,"abstract":"Understanding human mobility in dynamic environments, such as our cities, is a crucial step toward the development of our economy, our environment, our transportation, as well as our well-being. Therefore, there is a need to rely on a sensor or a source of information, such as mobile phone data, that can help us to sense these urban dynamics. From this viewpoint, we are focusing on demonstrating and presenting our concept idea that relies on a new method based on switching Kalman filter that enables the extraction of mobility patterns and through its analysis discovering mobility hubs where the urban mobility converges or diverges using mobile data, especially CDR data.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114487553","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631211
Abubaker-Matovu Waswa, Stephen S. Mwanje, Jens Mückenheim, A. Mitschele-Thiel
The third generation partnership project (3GPP) initiative to integrate device-to-device (D2D) communication within the cellular networks is premised on the high spectral efficiency gains during spectrum sharing and user quality of service (QoS) guarantees. However, the intra-cell interference between D2D and cellular users during spectrum sharing must be controlled to realize these gains in the network. In this paper, we formulate and propose two novel algorithms for the selection of multiple D2D users allowed to share radio resources already scheduled by the base station (BS) for a given cellular user. All users (i.e. the cellular and selected D2D users) distributively determine their transmit power based on a fixed target signal-to-noise ratio (SNR). Thereafter, the BS chooses suitable multiple D2D users that are allowed to share a given cellular user's radio resources using a distance-based selection criteria. Our results show increased total cell spectral efficiency with both algorithms while all users have better guarantees of achieving their QoS requirements with only one of the algorithms.
{"title":"Opportunistic and Partial Random Resource Reuse for Multiple D2D Communication in Cellular Networks","authors":"Abubaker-Matovu Waswa, Stephen S. Mwanje, Jens Mückenheim, A. Mitschele-Thiel","doi":"10.1109/ICUMT.2018.8631211","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631211","url":null,"abstract":"The third generation partnership project (3GPP) initiative to integrate device-to-device (D2D) communication within the cellular networks is premised on the high spectral efficiency gains during spectrum sharing and user quality of service (QoS) guarantees. However, the intra-cell interference between D2D and cellular users during spectrum sharing must be controlled to realize these gains in the network. In this paper, we formulate and propose two novel algorithms for the selection of multiple D2D users allowed to share radio resources already scheduled by the base station (BS) for a given cellular user. All users (i.e. the cellular and selected D2D users) distributively determine their transmit power based on a fixed target signal-to-noise ratio (SNR). Thereafter, the BS chooses suitable multiple D2D users that are allowed to share a given cellular user's radio resources using a distance-based selection criteria. Our results show increased total cell spectral efficiency with both algorithms while all users have better guarantees of achieving their QoS requirements with only one of the algorithms.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143797","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631242
Martin Rajnoha, Radim Burget, Lukas Povoda
Small size dataset is general issue that we may encounter when training neural networks for analysis of image data. There are many cases when networks can not start training even with data augmentation. This paper proposes a new method how to allow training of image classification even when traditional approaches fail. It presents an experiment, which shows that subtraction of redundant background from images can significantly improve convergence of neural network training. Improvement is not in accuracy matter but it means that neural network is able to train and to start convergence. For experimental evaluation, person binary classification was used and compared to experiments, where the background was removed.
{"title":"Image Background Noise Impact on Convolutional Neural Network Training","authors":"Martin Rajnoha, Radim Burget, Lukas Povoda","doi":"10.1109/ICUMT.2018.8631242","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631242","url":null,"abstract":"Small size dataset is general issue that we may encounter when training neural networks for analysis of image data. There are many cases when networks can not start training even with data augmentation. This paper proposes a new method how to allow training of image classification even when traditional approaches fail. It presents an experiment, which shows that subtraction of redundant background from images can significantly improve convergence of neural network training. Improvement is not in accuracy matter but it means that neural network is able to train and to start convergence. For experimental evaluation, person binary classification was used and compared to experiments, where the background was removed.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131021917","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631222
O. A. Mahmood, A. Paramonov
Gateway location selection is one of the main tasks for Internet of Thing networks as it affects both the route length and the quality of the network in general. Objective: This article presents a gateway selection approach for Internet of Things and introduces a selection method for the gateway location, taking into account the quality of its individual sections. Method: The method uses the Floyd-Warshall algorithm and at this end, a simulation model was developed using Mathcad engineering software. Results: As a result, for networks with a high density of nodes, this method allows the network administrator to select the gateway location and accurately select the geometrical service center. Conclusions: The gateway location in the IoT wireless sensor network influences the quality of service and the quality of the network generally.
{"title":"Peculiarity of the Internet of Thing Traffic Routing, Selection of the Gateway Location","authors":"O. A. Mahmood, A. Paramonov","doi":"10.1109/ICUMT.2018.8631222","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631222","url":null,"abstract":"Gateway location selection is one of the main tasks for Internet of Thing networks as it affects both the route length and the quality of the network in general. Objective: This article presents a gateway selection approach for Internet of Things and introduces a selection method for the gateway location, taking into account the quality of its individual sections. Method: The method uses the Floyd-Warshall algorithm and at this end, a simulation model was developed using Mathcad engineering software. Results: As a result, for networks with a high density of nodes, this method allows the network administrator to select the gateway location and accurately select the geometrical service center. Conclusions: The gateway location in the IoT wireless sensor network influences the quality of service and the quality of the network generally.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130203721","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631236
Yury Antonov, S. Ballandovich, G. Kostikov, Liubov M. Liubina, M. Sugak
In this paper both numerical simulation and experimental measurement of 3D-printed K-band reflectarray prototypes of closed-volume elements are performed. 3D printing technology allows designing and fabricating antenna arrays consisting of complicated-form elements. Using of closed-volume elements (air-filled hollows in a dielectric layer) enables the dielectric layer to combine functions of phase correction and protection. Some aspects of 3D-printing technology for dielectric flat lens antennas of closed-volume elements are considered.
{"title":"Wideband 3D-Printed Reflectarray of Closed-Volume Elements","authors":"Yury Antonov, S. Ballandovich, G. Kostikov, Liubov M. Liubina, M. Sugak","doi":"10.1109/ICUMT.2018.8631236","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631236","url":null,"abstract":"In this paper both numerical simulation and experimental measurement of 3D-printed K-band reflectarray prototypes of closed-volume elements are performed. 3D printing technology allows designing and fabricating antenna arrays consisting of complicated-form elements. Using of closed-volume elements (air-filled hollows in a dielectric layer) enables the dielectric layer to combine functions of phase correction and protection. Some aspects of 3D-printing technology for dielectric flat lens antennas of closed-volume elements are considered.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130659072","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631199
A. Borodina, O. Lukashenko, E. Morozov
We consider the system with gradual and instantaneous failures described in terms of the so-called degradation process composed by a sum of the successive phases, where preventive repair is used to prevent an instantaneous failure. The calculating the failure probability is an important and hard problem, arising in the optimal control of such a systems. The required performance measure is usually not analytically available. Thus, one has to rely on simulation technique. We develop a variance reduction technique to estimate the target failure probability using a conditional Monte Carlo method is based on the algorithm proposed by Asmussen and Kroese in [1]. The effectiveness of the proposed approach is investigated through simulations in terms of relative error. We present a few numerical results which indicate that proposed approach provides comparatively accurate results.
{"title":"On Conditional Monte Carlo for the Failure Probability Estimation","authors":"A. Borodina, O. Lukashenko, E. Morozov","doi":"10.1109/ICUMT.2018.8631199","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631199","url":null,"abstract":"We consider the system with gradual and instantaneous failures described in terms of the so-called degradation process composed by a sum of the successive phases, where preventive repair is used to prevent an instantaneous failure. The calculating the failure probability is an important and hard problem, arising in the optimal control of such a systems. The required performance measure is usually not analytically available. Thus, one has to rely on simulation technique. We develop a variance reduction technique to estimate the target failure probability using a conditional Monte Carlo method is based on the algorithm proposed by Asmussen and Kroese in [1]. The effectiveness of the proposed approach is investigated through simulations in terms of relative error. We present a few numerical results which indicate that proposed approach provides comparatively accurate results.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130612601","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631207
S. Alexandrova, N. Nikolaev, O. Slita, A. Musayev, Elena Karpenko
The high power DC-DC full-bridge converter with 175...320 VDC supply voltage is considered. Due to the difficulty of the transformer leakage inductance measuring with the sufficient accuracy and the change of supply voltage the plant with uncertain parameters is given in the interval form. The problem is solved by the median modal control method based on the relative interval value of the system state matrix trace which is changed by median component variation. This approach is realized by add-on feedback on the object state vector. The designed closed-loop system allows to obtain a desired stabilized output voltage.
{"title":"Parametric Robust Control Law Design for DC-DC FB Converter","authors":"S. Alexandrova, N. Nikolaev, O. Slita, A. Musayev, Elena Karpenko","doi":"10.1109/ICUMT.2018.8631207","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631207","url":null,"abstract":"The high power DC-DC full-bridge converter with 175...320 VDC supply voltage is considered. Due to the difficulty of the transformer leakage inductance measuring with the sufficient accuracy and the change of supply voltage the plant with uncertain parameters is given in the interval form. The problem is solved by the median modal control method based on the relative interval value of the system state matrix trace which is changed by median component variation. This approach is realized by add-on feedback on the object state vector. The designed closed-loop system allows to obtain a desired stabilized output voltage.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127882369","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631268
Tomas Kiska, Z. Galaz, Vojtech Zvoncak, Jan Mucha, J. Mekyska, Z. Smékal
Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonality. This paper introduces a novel methodology for determining the place of origin of a music interpretation based on advanced signal processing and machine learning techniques. For this purpose, we collected a database of 35 different interpretations of Leos Janacek's String Quartet No.1, “Kreutzer Sonat”: IV. Con Moto-Adagio. Employing random forests classifier, we achieved classification accuracy over 97 % using features derived from Mel-frequency cepstral coefficients. This paper proves it is possible to use MRI for determining the origin of a music interpretation with very high accuracy.
确定音乐作品的原产地是音乐信息检索(MIR)领域的一个现代研究领域。对一首作品的音乐诠释承载着作者的多种意图，这些意图会影响最终作品的音乐特征。这些方面可能包括节奏、动态、音色或调性。本文介绍了一种基于先进信号处理和机器学习技术的新方法，用于确定音乐解释的起源。为此，我们收集了利奥斯·雅纳切克(leo Janacek)第一弦乐四重奏“Kreutzer Sonat”:IV. Con Moto-Adagio的35种不同的解读数据库。使用随机森林分类器，我们使用mel频率倒谱系数衍生的特征实现了97%以上的分类准确率。本文证明了用核磁共振成像来确定音乐解释的起源具有很高的准确性。
{"title":"Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation","authors":"Tomas Kiska, Z. Galaz, Vojtech Zvoncak, Jan Mucha, J. Mekyska, Z. Smékal","doi":"10.1109/ICUMT.2018.8631268","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631268","url":null,"abstract":"Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonality. This paper introduces a novel methodology for determining the place of origin of a music interpretation based on advanced signal processing and machine learning techniques. For this purpose, we collected a database of 35 different interpretations of Leos Janacek's String Quartet No.1, “Kreutzer Sonat”: IV. Con Moto-Adagio. Employing random forests classifier, we achieved classification accuracy over 97 % using features derived from Mel-frequency cepstral coefficients. This paper proves it is possible to use MRI for determining the origin of a music interpretation with very high accuracy.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904803","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631281
Nguyen Huu Nam, Pham Tuan Thanh, Le Duc Tiep, Averin Sergey Vladimirovich
The algorithms of space vector pulse-width modulation (SVPWM) with the use of additional reference vectors are proposed in this article. The proposed algorithms increase the efficiency of the frequency converter, which will eliminate the through currents in the voltage source inverter (VSI) and reduce amount of calculation in the microcontroller. In this paper the simulation model of the induction motor (IM) with SVPWM control constructed in MATLAB is studies. The results of simulation modeling of the proposed algorithms are presented using different trajectories of the voltage space vector. Comparative analysis of the results is provided based on the type of trajectories and on the number of voltage space vectors being generated for the fluctuations speed, torque, and current of the IM's stator. Result analysis showed that the proposed algorithms using additional reference vectors, not only eliminate the through currents in a three-phase VSI, but also reduce the variations in fluctuations speed, motor torque and stator current, and improve the speed of the electric drive.
{"title":"Improvement of Inverter Efficiency of Three-phase Induction Motor Control System by Space Vector Pulse-width Modulation Method","authors":"Nguyen Huu Nam, Pham Tuan Thanh, Le Duc Tiep, Averin Sergey Vladimirovich","doi":"10.1109/ICUMT.2018.8631281","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631281","url":null,"abstract":"The algorithms of space vector pulse-width modulation (SVPWM) with the use of additional reference vectors are proposed in this article. The proposed algorithms increase the efficiency of the frequency converter, which will eliminate the through currents in the voltage source inverter (VSI) and reduce amount of calculation in the microcontroller. In this paper the simulation model of the induction motor (IM) with SVPWM control constructed in MATLAB is studies. The results of simulation modeling of the proposed algorithms are presented using different trajectories of the voltage space vector. Comparative analysis of the results is provided based on the type of trajectories and on the number of voltage space vectors being generated for the fluctuations speed, torque, and current of the IM's stator. Result analysis showed that the proposed algorithms using additional reference vectors, not only eliminate the through currents in a three-phase VSI, but also reduce the variations in fluctuations speed, motor torque and stator current, and improve the speed of the electric drive.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123890414","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 : 2018-11-01DOI: 10.1109/ICUMT.2018.8631225
Yuri Ardulov, K. Kucherova, S. Mescheryakov, D. Shchemelinin
Cloud service monitoring requires robustness. Usually the service and its Key Performance Indicators (KPIs) are growing incongruently along with the growth of cloud infrastructure, dependencies and feature set. Even with validated software, physical misconfiguration can cause the service failure and may lead to service outage. That is why it is important to automatically detect any abnormal behavior and integrate it with the Event Management System (EMS) for proper and timely escalation. This paper presents a lightweight anomaly detection method, which is able to identify the pattern of metric's behavior and will be able to adjust itself to possible pattern modification caused by either new service releases and/or natural changes of utilization.
{"title":"Self-learning Machine Method for Anomaly Detection in Real Time Data","authors":"Yuri Ardulov, K. Kucherova, S. Mescheryakov, D. Shchemelinin","doi":"10.1109/ICUMT.2018.8631225","DOIUrl":"https://doi.org/10.1109/ICUMT.2018.8631225","url":null,"abstract":"Cloud service monitoring requires robustness. Usually the service and its Key Performance Indicators (KPIs) are growing incongruently along with the growth of cloud infrastructure, dependencies and feature set. Even with validated software, physical misconfiguration can cause the service failure and may lead to service outage. That is why it is important to automatically detect any abnormal behavior and integrate it with the Event Management System (EMS) for proper and timely escalation. This paper presents a lightweight anomaly detection method, which is able to identify the pattern of metric's behavior and will be able to adjust itself to possible pattern modification caused by either new service releases and/or natural changes of utilization.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"28 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128669991","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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