Pub Date : 2018-05-16DOI: 10.1109/WAINA.2018.00089
Rasool Bukhsh, N. Javaid, Z. Iqbal, U. Ahmed, Zeeshan Ahmad, Muhammad Nadeem Iqbal
The invention of Smart Grid (SG) have revolutionized the traditional electricity consumption pattern as well as distribution. The technology of communication and information have been involved in almost every domain so for Smart Grids. Production of electricity is not cheap, hence with the help of information and technology, Smart Meters (SM) play vital role to control, manage and perform optimization to utilize the electric power efficiently on consumer side and called Demand Side Management (DSM). In the proposed research paper, a Home Energy Management System (HEMS) have been proposed to optimize the home appliances to reduce the maximum cost. Elephant Herd Optimization (EHO) algorithm have been implemented along with our own hybrid of EHO algorithm. This EHO is hybrid of Genetic Algorithm (GA) and called Genetic Elephant Herd Optimization (GEHO). Results of simulation shows that GEHO scheduled the appliance more efficiently to reduce maximum cost when comparing with regular EHO and unscheduled schemes. Peak to Average Ration (PAR) also have been observed. GEHO and unscheduled have equal PAR due to scheduling of maximum appliances on either sides but EHO have small PAR. For further understanding of cost optimization different Operation Time Interval (OTI) have been applied. Trends of load and cost with all of three schemes have been discussed in detail.
{"title":"Appliances Scheduling Using Hybrid Scheme of Genetic Algorithm and Elephant Herd Optimization for Residential Demand Response","authors":"Rasool Bukhsh, N. Javaid, Z. Iqbal, U. Ahmed, Zeeshan Ahmad, Muhammad Nadeem Iqbal","doi":"10.1109/WAINA.2018.00089","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00089","url":null,"abstract":"The invention of Smart Grid (SG) have revolutionized the traditional electricity consumption pattern as well as distribution. The technology of communication and information have been involved in almost every domain so for Smart Grids. Production of electricity is not cheap, hence with the help of information and technology, Smart Meters (SM) play vital role to control, manage and perform optimization to utilize the electric power efficiently on consumer side and called Demand Side Management (DSM). In the proposed research paper, a Home Energy Management System (HEMS) have been proposed to optimize the home appliances to reduce the maximum cost. Elephant Herd Optimization (EHO) algorithm have been implemented along with our own hybrid of EHO algorithm. This EHO is hybrid of Genetic Algorithm (GA) and called Genetic Elephant Herd Optimization (GEHO). Results of simulation shows that GEHO scheduled the appliance more efficiently to reduce maximum cost when comparing with regular EHO and unscheduled schemes. Peak to Average Ration (PAR) also have been observed. GEHO and unscheduled have equal PAR due to scheduling of maximum appliances on either sides but EHO have small PAR. For further understanding of cost optimization different Operation Time Interval (OTI) have been applied. Trends of load and cost with all of three schemes have been discussed in detail.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193337","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00173
Jaswinder Kaur, P. Wongthongtham, Bilal Abu-Salih, Sogand Fathy
The investment on Internet of Everything is increasing exponentially. This new global technological approach opens the doors for connecting everything and anything. Such massive propagation of Big Data generated from a wide variety of sensors requires consolidated efforts to put forward solutions to address specific related business problems and needs. The aim of this paper is to provide a systematic review of the state-of-the-art scientific research on the Internet of Everything and Big Data. Top 20 journals are selected in this study comprising 112 articles in the domain. The paper discusses the results of affiliation analysis, keyword statistics, source statistics, citation analysis and co-citation analysis. The conclusion of this literature review suggests future opportunities and research directions in the era of Internet of Everything and Big Data.
{"title":"Analysis of Scientific Production of IoE Big Data Research","authors":"Jaswinder Kaur, P. Wongthongtham, Bilal Abu-Salih, Sogand Fathy","doi":"10.1109/WAINA.2018.00173","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00173","url":null,"abstract":"The investment on Internet of Everything is increasing exponentially. This new global technological approach opens the doors for connecting everything and anything. Such massive propagation of Big Data generated from a wide variety of sensors requires consolidated efforts to put forward solutions to address specific related business problems and needs. The aim of this paper is to provide a systematic review of the state-of-the-art scientific research on the Internet of Everything and Big Data. Top 20 journals are selected in this study comprising 112 articles in the domain. The paper discusses the results of affiliation analysis, keyword statistics, source statistics, citation analysis and co-citation analysis. The conclusion of this literature review suggests future opportunities and research directions in the era of Internet of Everything and Big Data.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236691","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00070
Amal Bouazizi, G. Zaibi, M. Samet, A. Kachouri
Today with the development of Wireless Body Area Network (WBAN) and the miniaturization of electronic devices, the use of implantable antennas for therapeutic purposes became a reality. However, the design of antennas in the context of WBAN still suffers from some shortcomes mainly in terms of matching. In this paper, a miniaturized slotted rectangular Planar Inverted-F Antenna (PIFA) was proposed for WBAN Medical Implantable Communication Services (MICS) band. The antenna was positioned in a chest model in the context of a cardiac activity monitoring. The PIFA was implanted at 11 positions within the muscle to observe its characteristics and its relative response. The main objective of the proposed approach is to get a miniaturized antenna and to find the most appropriate location for its operation. The fat thickness was varied in order to detect its influence on the antenna characteristics. A comparative study was carried out between our antenna and others suggested in the state-of-the-art. The obtained results show a good performance of the proposed small-sized PIFA of 11.9 x 14.7 x 1.305 mm3, equivalent to 0.0159 λ0 x 0.0197 λ0 x 0.00175 λ0.
随着无线体域网络(WBAN)的发展和电子设备的小型化，植入式天线用于治疗已成为现实。然而，WBAN环境下的天线设计仍然存在一些不足，主要体现在匹配方面。提出了一种用于WBAN医疗植入式通信服务(MICS)频段的小型化开槽矩形平面倒f天线(PIFA)。在心脏活动监测的背景下，天线被放置在胸部模型中。在肌肉内的11个位置植入PIFA，观察其特征和相对反应。提出的方法的主要目标是得到一个小型化的天线，并找到最合适的位置为其工作。为了检测脂肪厚度对天线特性的影响，研究了脂肪厚度的变化。我们的天线和其他最先进的天线进行了比较研究。结果表明，所提出的小尺寸PIFA具有良好的性能，尺寸为11.9 x 14.7 x 1.305 mm3，相当于0.0159 λ0 x 0.0197 λ0 x 0.00175 λ0。
{"title":"A Miniaturized Invasive Antenna Study for a Better Performance in Medical Application","authors":"Amal Bouazizi, G. Zaibi, M. Samet, A. Kachouri","doi":"10.1109/WAINA.2018.00070","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00070","url":null,"abstract":"Today with the development of Wireless Body Area Network (WBAN) and the miniaturization of electronic devices, the use of implantable antennas for therapeutic purposes became a reality. However, the design of antennas in the context of WBAN still suffers from some shortcomes mainly in terms of matching. In this paper, a miniaturized slotted rectangular Planar Inverted-F Antenna (PIFA) was proposed for WBAN Medical Implantable Communication Services (MICS) band. The antenna was positioned in a chest model in the context of a cardiac activity monitoring. The PIFA was implanted at 11 positions within the muscle to observe its characteristics and its relative response. The main objective of the proposed approach is to get a miniaturized antenna and to find the most appropriate location for its operation. The fat thickness was varied in order to detect its influence on the antenna characteristics. A comparative study was carried out between our antenna and others suggested in the state-of-the-art. The obtained results show a good performance of the proposed small-sized PIFA of 11.9 x 14.7 x 1.305 mm3, equivalent to 0.0159 λ0 x 0.0197 λ0 x 0.00175 λ0.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116529497","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00094
Abdul Mateen, N. Javaid, M. Awais, N. Khan, Urva Latif, Ihtisham Ullah
Smart Grid (SG) plays a noteworthy role in minimizing the Electricity Cost (EC) through Demand Side Management (DSM). Smart homes are the part of SG, pays a lot in minimizing EC via scheduling the appliances. Home Energy Management (HEM) have been extensively used for energy management in smart homes. In this paper, for the effective utilization of energy in a smart home, we propose a solution that consists of bio-inspired techniques: Genetic Algorithm (GA), Flower Pollination Algorithm (FPA) and hybrid of these two, Genetic Flower Pollination Algorithm (GFPA). All of these techniques applied to the appliances that are essential in a home. Our proposed solution leads to find an optimal scheduling pattern that reduces EC, Peak to Average Ratio (PAR) and maximize User Comfort (UC). In our work, we have considered one home. We divide appliances into three categories, non-interruptible, interruptible and fixed appliances. Simulation results show that our proposed schemes performed better in terms of EC, UC and PAR. We have done this work for three different Operational Time Intervals (OTIs) 15, 30 and 60 minutes for each appliance.
{"title":"Bio-Inspired Optimization Techniques for Home Energy Management in Smart Grid","authors":"Abdul Mateen, N. Javaid, M. Awais, N. Khan, Urva Latif, Ihtisham Ullah","doi":"10.1109/WAINA.2018.00094","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00094","url":null,"abstract":"Smart Grid (SG) plays a noteworthy role in minimizing the Electricity Cost (EC) through Demand Side Management (DSM). Smart homes are the part of SG, pays a lot in minimizing EC via scheduling the appliances. Home Energy Management (HEM) have been extensively used for energy management in smart homes. In this paper, for the effective utilization of energy in a smart home, we propose a solution that consists of bio-inspired techniques: Genetic Algorithm (GA), Flower Pollination Algorithm (FPA) and hybrid of these two, Genetic Flower Pollination Algorithm (GFPA). All of these techniques applied to the appliances that are essential in a home. Our proposed solution leads to find an optimal scheduling pattern that reduces EC, Peak to Average Ratio (PAR) and maximize User Comfort (UC). In our work, we have considered one home. We divide appliances into three categories, non-interruptible, interruptible and fixed appliances. Simulation results show that our proposed schemes performed better in terms of EC, UC and PAR. We have done this work for three different Operational Time Intervals (OTIs) 15, 30 and 60 minutes for each appliance.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907329","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00111
A. Longo, Mario Alessandro Bochicchio, M. Zappatore
Modern passengers require reliable Transportation Services (TSs) Therefore, providers and operators should steer their current offering towards novel approaches guaranteeing improvements in Quality of Service (QoS) and sustainable development of urban infrastructures. In this paper, a cloud-based approach aiming at assessing the QoS in a specific scenario such as the one of Local Transportation Services (LTSs) in Apulia Region (Southern Italy) is proposed. The entire QoS cycle (i.e., design, implementation and monitoring) for smart mobility is addressed, and a supporting platform, exploiting a microservice-based architecture and named UCoMS, is described. In order to validate the pilot case, a set of quality indicators and service levels grounded in European and Italian regulatory frameworks has been considered as well.
{"title":"A Cloud-Based Approach to Assess the Quality of Local Transportation Services in Apulia Region","authors":"A. Longo, Mario Alessandro Bochicchio, M. Zappatore","doi":"10.1109/WAINA.2018.00111","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00111","url":null,"abstract":"Modern passengers require reliable Transportation Services (TSs) Therefore, providers and operators should steer their current offering towards novel approaches guaranteeing improvements in Quality of Service (QoS) and sustainable development of urban infrastructures. In this paper, a cloud-based approach aiming at assessing the QoS in a specific scenario such as the one of Local Transportation Services (LTSs) in Apulia Region (Southern Italy) is proposed. The entire QoS cycle (i.e., design, implementation and monitoring) for smart mobility is addressed, and a supporting platform, exploiting a microservice-based architecture and named UCoMS, is described. In order to validate the pilot case, a set of quality indicators and service levels grounded in European and Italian regulatory frameworks has been considered as well.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127953600","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 : 2018-05-01DOI: 10.1109/WAINA.2018.00105
I. Makarova, A. Pashkevich, K. Shubenkova
Today, business requires engineers with sufficient level of professionalism that mean not only high qualification, but also that students must be able to use personal, interpersonal and system competences in professional sphere. Therefore the system of engineering education in the 21st century should embrace the innovative principles, methods and teaching technologies. The analysis of applied forms of education shows that Blended Learning has advantages over traditional learning and E-Learning. For its successful implementation an intelligent learning environment, including such technologies, as gamification, virtual and augmented reality, has to be created. The specific feature of proposed approach is to use such modeling environment and software tools for education process, which are applied at manufacturing site as well as allow to model the systems, with which the future engineer will work in practices. Examples of interaction between Kazan Federal University and the Public Corporation "KAMAZ" in engineers training are presented.
{"title":"Blended Learning Technologies in the Automotive Industry Specialists' Training","authors":"I. Makarova, A. Pashkevich, K. Shubenkova","doi":"10.1109/WAINA.2018.00105","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00105","url":null,"abstract":"Today, business requires engineers with sufficient level of professionalism that mean not only high qualification, but also that students must be able to use personal, interpersonal and system competences in professional sphere. Therefore the system of engineering education in the 21st century should embrace the innovative principles, methods and teaching technologies. The analysis of applied forms of education shows that Blended Learning has advantages over traditional learning and E-Learning. For its successful implementation an intelligent learning environment, including such technologies, as gamification, virtual and augmented reality, has to be created. The specific feature of proposed approach is to use such modeling environment and software tools for education process, which are applied at manufacturing site as well as allow to model the systems, with which the future engineer will work in practices. Examples of interaction between Kazan Federal University and the Public Corporation \"KAMAZ\" in engineers training are presented.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647379","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}
Sicknesses in plants cause real creation and financial misfortunes and in addition diminishment in both quality and amount of agrarian items. Early data on leaf well being and sickness discovery can encourage the control of illnesses through legitimate administration techniques. This paper presents a method for early detection of leaf diseases in plants based on some important features extracted from its leaf images. This proposed system consists of a device called Beagle bone black; it is interfaced with a digital camera or web camera which is used to detect the diseases in leaves. In the proposed system, images of leaves are captured and compared with image healthy leaves images which are in database that are pre-stored in the device. After image processing, if the plants are found infected, this device automatically turns on the valves, through which medicine supply is enabled or disabled automatically to the plant area through a sprinkler or drip irrigation method. In addition to this, soil moisture and temperature sensors are used to avoid the spreading of diseases due to change in climatic conditions. If the values of moisture/temperature exceed the predefined range, the Beagle bone Black enables auto-medicining to the plants. Information regarding the plants and valve operations are intimated to farmer through GSM.
{"title":"Real Time Automation of Agriculture Land, by automatically Detecting Plant Leaf Diseases and Auto Medicine","authors":"Channamallikarjuna Mattihalli, Edemialem Gedefaye, Fasil Endalamaw, Adugna Necho","doi":"10.1109/WAINA.2018.00106","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00106","url":null,"abstract":"Sicknesses in plants cause real creation and financial misfortunes and in addition diminishment in both quality and amount of agrarian items. Early data on leaf well being and sickness discovery can encourage the control of illnesses through legitimate administration techniques. This paper presents a method for early detection of leaf diseases in plants based on some important features extracted from its leaf images. This proposed system consists of a device called Beagle bone black; it is interfaced with a digital camera or web camera which is used to detect the diseases in leaves. In the proposed system, images of leaves are captured and compared with image healthy leaves images which are in database that are pre-stored in the device. After image processing, if the plants are found infected, this device automatically turns on the valves, through which medicine supply is enabled or disabled automatically to the plant area through a sprinkler or drip irrigation method. In addition to this, soil moisture and temperature sensors are used to avoid the spreading of diseases due to change in climatic conditions. If the values of moisture/temperature exceed the predefined range, the Beagle bone Black enables auto-medicining to the plants. Information regarding the plants and valve operations are intimated to farmer through GSM.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115194332","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 : 2018-05-01DOI: 10.1109/WAINA.2018.00148
D. Cacciagrano, R. Culmone
A domain-specific language (DSL) is a programming language that is specialised to a particular application domain. IRON is a DSL for the IoT domain which allows not only to program solutions for the IoT by Event-Condition-Action (ECA) rules, but also prevent or report incorrect actions (from the logical point of view). The formal definition of this language is important to correctly implement interpreters avoiding contradictory, cyclical or ambiguous program configurations. To this ending, we formally define the semantics of IRON by a suitable operational rule system. The proposed operational semantics can describe the execution model of IRON programs and, at the same time, intercept several possible program anomalies (e.g., rule redundancy and circularity). Although IRON operational semantics describes a specific execution model, the proposed methodology - of encoding the IRON execution model into a "corresponding" formal operational semantics - can be also taken into account for formally defining semantics of other ECA rules based languages for IoT.
{"title":"Formal Semantics of an IoT-Specific Language","authors":"D. Cacciagrano, R. Culmone","doi":"10.1109/WAINA.2018.00148","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00148","url":null,"abstract":"A domain-specific language (DSL) is a programming language that is specialised to a particular application domain. IRON is a DSL for the IoT domain which allows not only to program solutions for the IoT by Event-Condition-Action (ECA) rules, but also prevent or report incorrect actions (from the logical point of view). The formal definition of this language is important to correctly implement interpreters avoiding contradictory, cyclical or ambiguous program configurations. To this ending, we formally define the semantics of IRON by a suitable operational rule system. The proposed operational semantics can describe the execution model of IRON programs and, at the same time, intercept several possible program anomalies (e.g., rule redundancy and circularity). Although IRON operational semantics describes a specific execution model, the proposed methodology - of encoding the IRON execution model into a \"corresponding\" formal operational semantics - can be also taken into account for formally defining semantics of other ECA rules based languages for IoT.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643991","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 : 2018-05-01DOI: 10.1109/WAINA.2018.00167
F. Amato, L. Barolli, V. Moscato, A. Picariello, Giancarlo Sperlí
Nowadays, Social Network Analysis is considered a hot research topic. In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the multimedia content that is generated and used within the related environments. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among multimedia contents, users and multimedia content and users themselves.
{"title":"Strategies for Social Networks Modeling","authors":"F. Amato, L. Barolli, V. Moscato, A. Picariello, Giancarlo Sperlí","doi":"10.1109/WAINA.2018.00167","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00167","url":null,"abstract":"Nowadays, Social Network Analysis is considered a hot research topic. In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the multimedia content that is generated and used within the related environments. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among multimedia contents, users and multimedia content and users themselves.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117292825","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 : 2018-05-01DOI: 10.1109/WAINA.2018.00086
Linlin Zhang, K. F. Li
We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.
{"title":"Education Analytics: Challenges and Approaches","authors":"Linlin Zhang, K. F. Li","doi":"10.1109/WAINA.2018.00086","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00086","url":null,"abstract":"We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129873835","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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