Pub Date : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7155752
R. Jedermann, T. Poetsch, W. Lang
Food losses along the cold chain can be reduced by accurate monitoring of the transport conditions. After 10 years of research on the 'Intelligent Container' we summarize our results in regard to the following questions: a) What are the challenges in establishing a wireless communication systems that links sensors inside food packing with global networks? b) Which sensors are most useful to detect deviations of food quality? c) Which improvements in the food chain are possible if detailed data about temperature and quality deviations are provided? d) What level of intelligence or smartness can be implemented on sensor or container level?
{"title":"Smart Sensors for the Intelligent Container","authors":"R. Jedermann, T. Poetsch, W. Lang","doi":"10.1109/SMARTSYSTECH.2014.7155752","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7155752","url":null,"abstract":"Food losses along the cold chain can be reduced by accurate monitoring of the transport conditions. After 10 years of research on the 'Intelligent Container' we summarize our results in regard to the following questions: a) What are the challenges in establishing a wireless communication systems that links sensors inside food packing with global networks? b) Which sensors are most useful to detect deviations of food quality? c) Which improvements in the food chain are possible if detailed data about temperature and quality deviations are provided? d) What level of intelligence or smartness can be implemented on sensor or container level?","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124947782","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156022
Philipp Wrycza, Alexander Hille, Bjoern Anderseck
This paper is based on the research project smaRTI which is an acronym for smart reusable transport items. The project started in July 2010 and ended December 2013. One of the core ideas of the project is to use smart reusable transport items with automatic identification technology such as barcode or RFID in order to generate events, at different capture points in the supply chain of the companies. An example for a typical event, based on the GS1 EPCIS standard, would be "shipping" after an order has been dispatched. The events are uploaded in a cloud based data storage, where all of the project partners are able to monitor them in real time. This paper explains how to gross up data volume caused by around 600 relevant transport items in 34 weeks of the pilot to the fast moving consumer goods (short: FMCG) industry in Germany. It describes the strategy and the used statistical methods for the extrapolation and explains the results.
{"title":"1.5 Billion Events a week - a statistical assessment for smart transport items in German FMCG supply chains","authors":"Philipp Wrycza, Alexander Hille, Bjoern Anderseck","doi":"10.1109/SMARTSYSTECH.2014.7156022","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156022","url":null,"abstract":"This paper is based on the research project smaRTI which is an acronym for smart reusable transport items. The project started in July 2010 and ended December 2013. One of the core ideas of the project is to use smart reusable transport items with automatic identification technology such as barcode or RFID in order to generate events, at different capture points in the supply chain of the companies. An example for a typical event, based on the GS1 EPCIS standard, would be \"shipping\" after an order has been dispatched. The events are uploaded in a cloud based data storage, where all of the project partners are able to monitor them in real time. This paper explains how to gross up data volume caused by around 600 relevant transport items in 34 weeks of the pilot to the fast moving consumer goods (short: FMCG) industry in Germany. It describes the strategy and the used statistical methods for the extrapolation and explains the results.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311668","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156029
Roham Torabi, C. Sabino, Á. Gomes
The increasing number of electric vehicles (EVs) in the near future will require control systems endowed with adequate algorithms able to manage their recharging process and avoiding massive investment in reinforcement of low voltage distribution network infrastructure. The deployment of EVs as an alternative to internal combustion engines will pose new challenges for electric power systems, grid operators, electricity suppliers and consumers. The impacts of the increasing penetration of EVs will be felt at the level of the distribution grid, as the lack of infrastructure capacity may hinder the increasing number of EVs from being simultaneously charged. Scenarios in which there is no local coordination between all the EVs to be charged through the same distribution power transformer may lead to new peak demands, possibly impeding the charging of all the vehicles. Therefore, the increasing number of EVs will require a control system to manage their recharging process. This study proposes the development of a decentralized charging control system, which is able to control and optimize the charging process of number of EVs in a coordinate way. Thus charging a greater number of EVs will be feasible without needing to invest in increasing the capacity of the grid infrastructure. To accomplish this, the algorithm considers the users preferences, such as their next time of use and desired state of charge while taking every users tariff scheme into consideration (i.e. different price structures/values and contracted power). The optimization objectives will be set for both the distribution grid operator, maximizing the number of EVs being charged simultaneously and for the consumers, minimizing the deviation from the minimum cost of the charge. Various entities are interested in such management. For instance, the distribution grid operator is interested in managing the charging to incorporate the maximum number of EVs without massively reinforcing the grid, whereas the consumers are interested in minimizing the cost of charging and increasing the reliability of supply. It is expected to develop a flexible algorithm, which may be used in scenarios with different electric grid characteristics and consumer load profiles. The integration of different charging patterns and various types of electricity tariffs leads to a more realistic approach.
{"title":"Development of an Algorithm to Control and Optimize the Coordinated Charging Process of a Group of Electric Vehicles","authors":"Roham Torabi, C. Sabino, Á. Gomes","doi":"10.1109/SMARTSYSTECH.2014.7156029","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156029","url":null,"abstract":"The increasing number of electric vehicles (EVs) in the near future will require control systems endowed with adequate algorithms able to manage their recharging process and avoiding massive investment in reinforcement of low voltage distribution network infrastructure. The deployment of EVs as an alternative to internal combustion engines will pose new challenges for electric power systems, grid operators, electricity suppliers and consumers. The impacts of the increasing penetration of EVs will be felt at the level of the distribution grid, as the lack of infrastructure capacity may hinder the increasing number of EVs from being simultaneously charged. Scenarios in which there is no local coordination between all the EVs to be charged through the same distribution power transformer may lead to new peak demands, possibly impeding the charging of all the vehicles. Therefore, the increasing number of EVs will require a control system to manage their recharging process. This study proposes the development of a decentralized charging control system, which is able to control and optimize the charging process of number of EVs in a coordinate way. Thus charging a greater number of EVs will be feasible without needing to invest in increasing the capacity of the grid infrastructure. To accomplish this, the algorithm considers the users preferences, such as their next time of use and desired state of charge while taking every users tariff scheme into consideration (i.e. different price structures/values and contracted power). The optimization objectives will be set for both the distribution grid operator, maximizing the number of EVs being charged simultaneously and for the consumers, minimizing the deviation from the minimum cost of the charge. Various entities are interested in such management. For instance, the distribution grid operator is interested in managing the charging to incorporate the maximum number of EVs without massively reinforcing the grid, whereas the consumers are interested in minimizing the cost of charging and increasing the reliability of supply. It is expected to develop a flexible algorithm, which may be used in scenarios with different electric grid characteristics and consumer load profiles. The integration of different charging patterns and various types of electricity tariffs leads to a more realistic approach.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114843060","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156031
Sebastian Kropp, G. Schuh
Identification and prompt reaction of unforeseen events are becoming increasingly important for companies. The event-driven architecture therefor provides the informational solution for a smoothly integration of sensor events in the existing IT infrastructure. An exact specification of the events to be processed is essential. In this article a procedure for building an event model for production control and the basic properties of the model will be presented. In a higher abstraction layer those are the control variables of production control. On a lower level status data of production for real-time feedback is delivered by basic sensor-events and machine data logging.
{"title":"Event-Driven Production Control based on Sensor Events","authors":"Sebastian Kropp, G. Schuh","doi":"10.1109/SMARTSYSTECH.2014.7156031","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156031","url":null,"abstract":"Identification and prompt reaction of unforeseen events are becoming increasingly important for companies. The event-driven architecture therefor provides the informational solution for a smoothly integration of sensor events in the existing IT infrastructure. An exact specification of the events to be processed is essential. In this article a procedure for building an event model for production control and the basic properties of the model will be presented. In a higher abstraction layer those are the control variables of production control. On a lower level status data of production for real-time feedback is delivered by basic sensor-events and machine data logging.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679923","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156016
A. Leonardi, H. Ziekow, D. Konchalenkov, A. Rogozina
Over recent years several smart home systems have emerged that use wireless sensors - called smart plugs - for measuring and controlling electrical consumers. These sensors provide the basis for applications like home automation and energy monitoring. However, the application logic requires correct metadata about the association of sensors with electrical devices. Today's solutions lack technical means for ensuring correctness of the associations but rely on the users diligence. In this paper we present a solution that uses machine-learning to automate tasks of metadata management for smart homes. The solution is tailored to the limited sensing capabilities of typical smart plugs. We also present experimental results based on real-world data from a pilot with several smart home installations. The experiments give insights into the applicability of different machine learning algorithms, suitable feature sets, and the overall performance of the solution.
{"title":"Detecting Smart Plug Configuration Changes in Smart Homes","authors":"A. Leonardi, H. Ziekow, D. Konchalenkov, A. Rogozina","doi":"10.1109/SMARTSYSTECH.2014.7156016","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156016","url":null,"abstract":"Over recent years several smart home systems have emerged that use wireless sensors - called smart plugs - for measuring and controlling electrical consumers. These sensors provide the basis for applications like home automation and energy monitoring. However, the application logic requires correct metadata about the association of sensors with electrical devices. Today's solutions lack technical means for ensuring correctness of the associations but rely on the users diligence. In this paper we present a solution that uses machine-learning to automate tasks of metadata management for smart homes. The solution is tailored to the limited sensing capabilities of typical smart plugs. We also present experimental results based on real-world data from a pilot with several smart home installations. The experiments give insights into the applicability of different machine learning algorithms, suitable feature sets, and the overall performance of the solution.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133471911","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156018
V. Catania, G. L. Torre, Daniela Ventura
We are surrounded by many objects with which we interact every day. In the future most of these objects will be able to process information and communicate with each other. When this technological barrier will be overcome, the next step will be to facilitate users to interact with these objects. In this paper we try to anticipate this need by proposing a platform that allows users to control objects around them, by transforming the features offered by such objects as services that can be invoked from web applications. The intent of this work is to take advantage of the user-experience in using web and mobile applications to create a kind of "continuity" in the way users interact with real objects. To try to achieve this we further propose a web application which, relying on the proposed platform, aids users to control objects in a domestic environment. Leveraging on the principles of the augmented reality, this application identifies the objects and creates a virtual representation of them. Moreover the application, using a dedicate API for smart objects that we are going to propose, allows users to access objects features.
{"title":"Controlling Smart Objects from Web Applications using the Webinos Platform","authors":"V. Catania, G. L. Torre, Daniela Ventura","doi":"10.1109/SMARTSYSTECH.2014.7156018","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156018","url":null,"abstract":"We are surrounded by many objects with which we interact every day. In the future most of these objects will be able to process information and communicate with each other. When this technological barrier will be overcome, the next step will be to facilitate users to interact with these objects. In this paper we try to anticipate this need by proposing a platform that allows users to control objects around them, by transforming the features offered by such objects as services that can be invoked from web applications. The intent of this work is to take advantage of the user-experience in using web and mobile applications to create a kind of \"continuity\" in the way users interact with real objects. To try to achieve this we further propose a web application which, relying on the proposed platform, aids users to control objects in a domestic environment. Leveraging on the principles of the augmented reality, this application identifies the objects and creates a virtual representation of them. Moreover the application, using a dedicate API for smart objects that we are going to propose, allows users to access objects features.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130461216","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156017
Gerd vom Boegel, F. Meyer, M. Kemmerling
The industrial environment of a manufacturing plant is a suitable field of application for a variety of measuring tasks for process monitoring on the use of thermoelectric generators (TEG) for the power supply of wireless sensor modules. This paper describes the various aspects of the development of a self-sustaining system using the example of coolant monitoring and control. Subject is a continuous pressure and temperature measurement at each mold of a cooling system. Furthermore, wireless transmission of data to a central base station is required, wherein more than 50 sensor modules have to share one radio channel. The energy for operation of the sensor module is provided by a TEG using the temperature difference between the coolant tube and the "warm" environment. To attain a stable energy supply, various TEG and construction practices with controlled heat flow have been evaluated and optimized. In combination with a specific power management a robust, industry-compliant solution has been realized.
{"title":"Wireless Sensor System for Industrial Applications Powered by Thermoelectric Generator","authors":"Gerd vom Boegel, F. Meyer, M. Kemmerling","doi":"10.1109/SMARTSYSTECH.2014.7156017","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156017","url":null,"abstract":"The industrial environment of a manufacturing plant is a suitable field of application for a variety of measuring tasks for process monitoring on the use of thermoelectric generators (TEG) for the power supply of wireless sensor modules. This paper describes the various aspects of the development of a self-sustaining system using the example of coolant monitoring and control. Subject is a continuous pressure and temperature measurement at each mold of a cooling system. Furthermore, wireless transmission of data to a central base station is required, wherein more than 50 sensor modules have to share one radio channel. The energy for operation of the sensor module is provided by a TEG using the temperature difference between the coolant tube and the \"warm\" environment. To attain a stable energy supply, various TEG and construction practices with controlled heat flow have been evaluated and optimized. In combination with a specific power management a robust, industry-compliant solution has been realized.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627843","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156019
S. Rademacher, J. Woellenstein
This paper focuses on a gas sensor node for the use in disaster management. The aim is the development of a low cost, low power system for spatially resolved, accurate gas measurements. This is achieved through the integration of various low cost and low power gas, temperature and humidity sensors, combined with intelligent signal processing and information fusion. Furthermore, a low cost localization system for the relative positioning of the sensor nodes is implemented.
{"title":"Energy self-sufficient sensor nodes for the detection of gaseous hazardous substances in case of disaster","authors":"S. Rademacher, J. Woellenstein","doi":"10.1109/SMARTSYSTECH.2014.7156019","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156019","url":null,"abstract":"This paper focuses on a gas sensor node for the use in disaster management. The aim is the development of a low cost, low power system for spatially resolved, accurate gas measurements. This is achieved through the integration of various low cost and low power gas, temperature and humidity sensors, combined with intelligent signal processing and information fusion. Furthermore, a low cost localization system for the relative positioning of the sensor nodes is implemented.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114232903","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156023
Martin Stockmann, Bjoern Anderseck, Alexander Hille
The project smaRTI aims for the development of an autonomous material flow by the means of intelligent transport items through the usage of autoID technologies and the concept of the internet of things. Within this work, the transferability of Event-Driven Architectures within the project is being discussed in order to take advantage of its high efficiency by the means of generating logistical KPIs out of big data event streams and to even trigger automated processes.
{"title":"Unleashing the Power of Events out of Smart Transport Items","authors":"Martin Stockmann, Bjoern Anderseck, Alexander Hille","doi":"10.1109/SMARTSYSTECH.2014.7156023","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156023","url":null,"abstract":"The project smaRTI aims for the development of an autonomous material flow by the means of intelligent transport items through the usage of autoID technologies and the concept of the internet of things. Within this work, the transferability of Event-Driven Architectures within the project is being discussed in order to take advantage of its high efficiency by the means of generating logistical KPIs out of big data event streams and to even trigger automated processes.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126678609","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 : 2014-07-01DOI: 10.1109/SMARTSYSTECH.2014.7156028
H. Lieske, Frederik Beer, J. Fischer, Gerd Killian, J. Robert, A. Heuberger
The paper analyses the outage probability of a radio node in a finite size large-scale data aggregation network which employs slotted random medium access. In most literature, this performance metric is usually derived from a Poisson point process distribution of radio nodes in infinite space. In contrast, we analyse a network with finite area and a fixed number of interfering nodes using a binomial point process. Based on the point process, conditional outage probabilities in a log-normal fading channel in case of n interferers are derived. These interim results are used to obtain the outage probability of a desired radio node as a function of the offered network load. We present numerical outage probabilities for distinct path loss exponents, capture thresholds and varying distances between node and receiver.
{"title":"Analysis of Average Outage Probabilities in a Finite, Centralised Radio Network with Slotted Random Access","authors":"H. Lieske, Frederik Beer, J. Fischer, Gerd Killian, J. Robert, A. Heuberger","doi":"10.1109/SMARTSYSTECH.2014.7156028","DOIUrl":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156028","url":null,"abstract":"The paper analyses the outage probability of a radio node in a finite size large-scale data aggregation network which employs slotted random medium access. In most literature, this performance metric is usually derived from a Poisson point process distribution of radio nodes in infinite space. In contrast, we analyse a network with finite area and a fixed number of interfering nodes using a binomial point process. Based on the point process, conditional outage probabilities in a log-normal fading channel in case of n interferers are derived. These interim results are used to obtain the outage probability of a desired radio node as a function of the offered network load. We present numerical outage probabilities for distinct path loss exponents, capture thresholds and varying distances between node and receiver.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243331","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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