Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646485
Nancy M. Elsayed, R. Swief, S. Abdellatif, T. Abdel-salam
Renewable energy is generally defined as energy that comes from natural resources such as sunlight, wind, rain, tides, waves and geothermal heat energy. Rapid deployment of renewable energy and energy efficiency is resulting in significant energy security, climate change mitigation, and economic benefits. In this Work one of the Renewable Energies is being focused which is solar energy that it can be used in different two ways Solar Thermal or Solar Photovoltaic; as Solar power (Electricity) is produced in two ways: Direct Transformation from PV or Concentration of solar energy to create steam in order to drive a turbine. Photovoltaic (PV) devices are discovered with their types based on the type of silicon used, specifically; (Mono-crystalline Silicon Cells, Poly-crystalline Silicon Cells, Amorphous thin-film Silicon Cells); Also, different factors that can affect the efficiency of solar panel mounting systems are discussed. PV Systems (Stand-Alone System or a Grid Connected System) with their configurations is discovered and discussed briefly. As Smart Grid is an Electrical Grid in which it includes varieties of operational and Energy Measurements such as Smart Meters, Smart Appliances, Renewable Energy Resources, and Efficiency Energy Resources from here PV Systems as one the Renewables resources in smart grid is introduced. The Study is for Supplying Building (A) – BUE with power and loads was assumed to be 921364.7059 Wh/day and the no. of modules required was 2000 PV module. In order to install 2000 PV Module, it requires 4000m2 Area and the building roof area doesn’t support to install all this number of modules so it is assumed to be installed in another area land beside the BUE location. A MATLAB Program Code was Generated to estimate the Monthly Averaged Global Solar Radiation at BUE Location and also another Code was generated to Draw the (I–V) Curve for the Selected PV Module.
{"title":"Photovoltaic Applications for Lighting Load Energy Saving: Case Studies, Educational Building","authors":"Nancy M. Elsayed, R. Swief, S. Abdellatif, T. Abdel-salam","doi":"10.1109/ITCE.2019.8646485","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646485","url":null,"abstract":"Renewable energy is generally defined as energy that comes from natural resources such as sunlight, wind, rain, tides, waves and geothermal heat energy. Rapid deployment of renewable energy and energy efficiency is resulting in significant energy security, climate change mitigation, and economic benefits. In this Work one of the Renewable Energies is being focused which is solar energy that it can be used in different two ways Solar Thermal or Solar Photovoltaic; as Solar power (Electricity) is produced in two ways: Direct Transformation from PV or Concentration of solar energy to create steam in order to drive a turbine. Photovoltaic (PV) devices are discovered with their types based on the type of silicon used, specifically; (Mono-crystalline Silicon Cells, Poly-crystalline Silicon Cells, Amorphous thin-film Silicon Cells); Also, different factors that can affect the efficiency of solar panel mounting systems are discussed. PV Systems (Stand-Alone System or a Grid Connected System) with their configurations is discovered and discussed briefly. As Smart Grid is an Electrical Grid in which it includes varieties of operational and Energy Measurements such as Smart Meters, Smart Appliances, Renewable Energy Resources, and Efficiency Energy Resources from here PV Systems as one the Renewables resources in smart grid is introduced. The Study is for Supplying Building (A) – BUE with power and loads was assumed to be 921364.7059 Wh/day and the no. of modules required was 2000 PV module. In order to install 2000 PV Module, it requires 4000m2 Area and the building roof area doesn’t support to install all this number of modules so it is assumed to be installed in another area land beside the BUE location. A MATLAB Program Code was Generated to estimate the Monthly Averaged Global Solar Radiation at BUE Location and also another Code was generated to Draw the (I–V) Curve for the Selected PV Module.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636579","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646653
A. Gad
A new open source library called NumPyCNNAndroid is proposed that minimizes the overhead of building and running convolutional neural networks on Android devices. The library is written in Python 3. It uses Kivy for building the application interface and Numerical Python for building the network itself. The library supports the most common layers. Compared to the widely known deep learning libraries, NumPyCNNAndroid avoids the extra overhead of making the network suitable for running on mobile devices. The experimental results validate the correctness of the library implementation by comparing results from both the proposed library and TensorFlow based on mean absolute error.
{"title":"NumPyCNNAndroid: A Library for Straightforward Implementation of Convolutional Neural Networks for Android Devices","authors":"A. Gad","doi":"10.1109/ITCE.2019.8646653","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646653","url":null,"abstract":"A new open source library called NumPyCNNAndroid is proposed that minimizes the overhead of building and running convolutional neural networks on Android devices. The library is written in Python 3. It uses Kivy for building the application interface and Numerical Python for building the network itself. The library supports the most common layers. Compared to the widely known deep learning libraries, NumPyCNNAndroid avoids the extra overhead of making the network suitable for running on mobile devices. The experimental results validate the correctness of the library implementation by comparing results from both the proposed library and TensorFlow based on mean absolute error.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127999227","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646557
Aliaa Arafa, M. Aly, S. Kamel
This paper presents a proposed protection system to the IEEE 33-bus radial distribution network. The protection system composed of fuses and reclosers at different locations in the network where the reclosers and fuses are kept coordinated for all possible locations of fault. All reclosers are of extremely inverse type but with different parameters. Also, fuses are of same type but with different parameters. This protection system is tested under the connection of DGs. These DGs, although having many benefits for the distribution networks, they can cause many problems, especially to the protection system, if they are not well-designed. One of the most serious problems the DGs can cause is the recloser-fuse miscoordination. In this paper the location and penetration level of DGs are varied and their effects on the reclosers-fuses coordination are tested under different fault locations. Finally, the paper studies the reclosers-fuses coordination of some literature studies which use different optimization techniques to determine the optimum sizes and locations of DGs on the same studied system. All simulation studies are performed on MATLAB script. The simulation results show that the connection of DGs with radial distribution systems may break the coordination between recloser and fuses even if optimum sizes and locations of these DGs are performed.
{"title":"Impact of Distributed Generation on Recloser-Fuse Coordination of Radial Distribution Networks","authors":"Aliaa Arafa, M. Aly, S. Kamel","doi":"10.1109/ITCE.2019.8646557","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646557","url":null,"abstract":"This paper presents a proposed protection system to the IEEE 33-bus radial distribution network. The protection system composed of fuses and reclosers at different locations in the network where the reclosers and fuses are kept coordinated for all possible locations of fault. All reclosers are of extremely inverse type but with different parameters. Also, fuses are of same type but with different parameters. This protection system is tested under the connection of DGs. These DGs, although having many benefits for the distribution networks, they can cause many problems, especially to the protection system, if they are not well-designed. One of the most serious problems the DGs can cause is the recloser-fuse miscoordination. In this paper the location and penetration level of DGs are varied and their effects on the reclosers-fuses coordination are tested under different fault locations. Finally, the paper studies the reclosers-fuses coordination of some literature studies which use different optimization techniques to determine the optimum sizes and locations of DGs on the same studied system. All simulation studies are performed on MATLAB script. The simulation results show that the connection of DGs with radial distribution systems may break the coordination between recloser and fuses even if optimum sizes and locations of these DGs are performed.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128109045","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646624
H. El-Sofany, I. Taj-Eddin
Some Countries like Egypt and Kingdom of Saudi Arabia (KSA) are facing health care challenges during the development and improving of the health sector. Recent technologies such as Cloud Computing can play an important role and enable new types of healthcare systems including medical diagnostic service to patients. The main services models for cloud computing includes: software, platform and infrastructure (as a service), to satisfy the needs of different kinds of organizations. By using cloud computing concepts, we will open some important area that is likely to have positive implications for cloud-based health care applications. From cloud computing point of view, we introduce a proposed application as HeathCare-as-a-Service (HC-AAS) model. The identification of system inputs, outputs, and rules are controlled by fuzzy logic operations. In this paper we propose a fuzzy model that will be used for developing a cloud-based health application for medical diagnostic. In addition to maintain the health record of patients, the proposed model will also use the diseases and their symptoms. Our main goal is to introduce a novel approach to develop medical diagnostic model that can help to improve the quality of healthcare in Egypt and KSA.
{"title":"A Cloud-based Model for Medical Diagnosis using Fuzzy Logic Concepts","authors":"H. El-Sofany, I. Taj-Eddin","doi":"10.1109/ITCE.2019.8646624","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646624","url":null,"abstract":"Some Countries like Egypt and Kingdom of Saudi Arabia (KSA) are facing health care challenges during the development and improving of the health sector. Recent technologies such as Cloud Computing can play an important role and enable new types of healthcare systems including medical diagnostic service to patients. The main services models for cloud computing includes: software, platform and infrastructure (as a service), to satisfy the needs of different kinds of organizations. By using cloud computing concepts, we will open some important area that is likely to have positive implications for cloud-based health care applications. From cloud computing point of view, we introduce a proposed application as HeathCare-as-a-Service (HC-AAS) model. The identification of system inputs, outputs, and rules are controlled by fuzzy logic operations. In this paper we propose a fuzzy model that will be used for developing a cloud-based health application for medical diagnostic. In addition to maintain the health record of patients, the proposed model will also use the diseases and their symptoms. Our main goal is to introduce a novel approach to develop medical diagnostic model that can help to improve the quality of healthcare in Egypt and KSA.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126584578","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646469
Hossam S. Salama, M. Aly, I. Vokony
Nowadays, the world is directing to the renewable energy sources to generate electricity. However, these sources have Intermittent energy nature which leads to fluctuations in the voltage and frequency, so it became necessary to use controlled energy storage units. This paper addresses an isolated unbalanced three-phase radial distribution system fed from wind energy conversion system (WECS) of squirrel cage induction generator (SCIG) and photovoltaic (PV) power for energy injection. Superconducting magnetic energy storage (SMES) units have been used as energy storage system to mitigate the intermittent power generated from renewable energy sources. Fuzzy logic controller is used to control the charging/discharging of SMES. MATLAB/Simulink package is used to demonstrate the system, WECS, PV, and SMES. The simulated results illustrated the ability the fuzzy logic controlled-SMES to mitigate the intermittency of power generated from WECS/PV that helps to control the frequency and voltage of the studied system.
{"title":"Voltage/Frequency Control of Isolated Unbalanced Radial Distribution System Fed from Intermittent Wind/PV Power Using Fuzzy Logic Controlled-SMES","authors":"Hossam S. Salama, M. Aly, I. Vokony","doi":"10.1109/ITCE.2019.8646469","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646469","url":null,"abstract":"Nowadays, the world is directing to the renewable energy sources to generate electricity. However, these sources have Intermittent energy nature which leads to fluctuations in the voltage and frequency, so it became necessary to use controlled energy storage units. This paper addresses an isolated unbalanced three-phase radial distribution system fed from wind energy conversion system (WECS) of squirrel cage induction generator (SCIG) and photovoltaic (PV) power for energy injection. Superconducting magnetic energy storage (SMES) units have been used as energy storage system to mitigate the intermittent power generated from renewable energy sources. Fuzzy logic controller is used to control the charging/discharging of SMES. MATLAB/Simulink package is used to demonstrate the system, WECS, PV, and SMES. The simulated results illustrated the ability the fuzzy logic controlled-SMES to mitigate the intermittency of power generated from WECS/PV that helps to control the frequency and voltage of the studied system.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634213","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646608
A. Mohamed, S. M. Ali, A. Hemeida, A. A. Ibrahim
This article introduces how to improve the real power losses and voltage deviation in distributed network system due to Distributed Energy Resources (DERs) allocation strategy by using Moth Swarm Algorithm (MSA) and Differential Evolution (DE) Algorithm. The proposed Optimization techniques are implemented on 33-bus and 69-bus IEEE standard radial distribution test systems with constant, industrial, residential, and commercial loads. The evaluated results have been confirmed the superiority with high performance of the DE technique than MSA technique to find the best solutions of DERs units allocation for different load factors.
{"title":"Optimal Placement of Distributed Energy Resources Including Different Load Models Using Different Optimization Techniques","authors":"A. Mohamed, S. M. Ali, A. Hemeida, A. A. Ibrahim","doi":"10.1109/ITCE.2019.8646608","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646608","url":null,"abstract":"This article introduces how to improve the real power losses and voltage deviation in distributed network system due to Distributed Energy Resources (DERs) allocation strategy by using Moth Swarm Algorithm (MSA) and Differential Evolution (DE) Algorithm. The proposed Optimization techniques are implemented on 33-bus and 69-bus IEEE standard radial distribution test systems with constant, industrial, residential, and commercial loads. The evaluated results have been confirmed the superiority with high performance of the DE technique than MSA technique to find the best solutions of DERs units allocation for different load factors.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132134560","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646649
M. Gafar
Humans use facial expressions in many contexts to communicate their ideas or weigh their emotions. Deaf people depend on these expressions mainly in daily communications. They use the facial expressions to add the grammatical meaning for sentences of similar words. Therefore, developing smart systems to recognize facial expressions becomes a necessity. The main obstacle comes from the uncertainty and ambiguity of grammatical facial decisions. Hence, fuzzy and fuzzy rough artificial intelligent algorithms formulate feasible solutions to make decisions in such situations. This paper presents a hybrid of fuzzy rough feature selection inspired by ANT Colony Optimization (FRFS-ACO) and fuzzy rough nearest neighbor (FRNN) classification algorithms to decide about different facial expressions. The proposed hybrid is compared to other artificial algorithms and hybrids to judge its accuracy and efficiency. The experiments are accomplished using a standard grammatical facial expressions data set with nine different emotions recorded by Microsoft Kinect sensor and kept on the UCI machine learning repository. The experiments and comparisons clarified that the proposed hybrid provide feasible average accuracy level of 93.7% and dramatically reduced the required classification time.
{"title":"Grammatical Facial Expression Recognition Basing on a Hybrid of Fuzzy Rough Ant Colony Optimization and Nearest Neighbor Classifier","authors":"M. Gafar","doi":"10.1109/ITCE.2019.8646649","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646649","url":null,"abstract":"Humans use facial expressions in many contexts to communicate their ideas or weigh their emotions. Deaf people depend on these expressions mainly in daily communications. They use the facial expressions to add the grammatical meaning for sentences of similar words. Therefore, developing smart systems to recognize facial expressions becomes a necessity. The main obstacle comes from the uncertainty and ambiguity of grammatical facial decisions. Hence, fuzzy and fuzzy rough artificial intelligent algorithms formulate feasible solutions to make decisions in such situations. This paper presents a hybrid of fuzzy rough feature selection inspired by ANT Colony Optimization (FRFS-ACO) and fuzzy rough nearest neighbor (FRNN) classification algorithms to decide about different facial expressions. The proposed hybrid is compared to other artificial algorithms and hybrids to judge its accuracy and efficiency. The experiments are accomplished using a standard grammatical facial expressions data set with nine different emotions recorded by Microsoft Kinect sensor and kept on the UCI machine learning repository. The experiments and comparisons clarified that the proposed hybrid provide feasible average accuracy level of 93.7% and dramatically reduced the required classification time.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216886","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646646
A. Ibrahim
UWB antenna with small size and asymmetric coplanar strip (ACS) - fed for a high speed communication application is presented. The radiator patches of the two designed antennas are chosen as elliptical and semi-elliptical structure. The partial and bending coplanar ground plan is designed to achieve the desired UWB features. The designed antennas have bandwidth from 3.2 GHz to more than 11.7 GHz. The proposed antenna has size of 28 × 11.5 mm2. The electromagnetic simulator CST microwave studio is used in the antenna simulation. The proposed antenna is fabricated and measured. The antenna radiation patterns have nearly omnidirectional radiation over the UWB range with suitable gain. The behavior of the proposed antenna makes it suitable for the UWB applications.
{"title":"Compact Planer UWB Antenna for High Speed Communications","authors":"A. Ibrahim","doi":"10.1109/ITCE.2019.8646646","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646646","url":null,"abstract":"UWB antenna with small size and asymmetric coplanar strip (ACS) - fed for a high speed communication application is presented. The radiator patches of the two designed antennas are chosen as elliptical and semi-elliptical structure. The partial and bending coplanar ground plan is designed to achieve the desired UWB features. The designed antennas have bandwidth from 3.2 GHz to more than 11.7 GHz. The proposed antenna has size of 28 × 11.5 mm2. The electromagnetic simulator CST microwave studio is used in the antenna simulation. The proposed antenna is fabricated and measured. The antenna radiation patterns have nearly omnidirectional radiation over the UWB range with suitable gain. The behavior of the proposed antenna makes it suitable for the UWB applications.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131882188","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646477
Khaleel W. Mershad
During the last twenty years, the amount of stored digital data has witnessed an enormous growth. This data is usually divided by the scientific community into structured and unstructured data. Although unstructured data is becoming a significant part of big data, there are still a large number of data generators that save their data into traditional structured databases. With the advantages that exist in adopting non-structural database systems to save various kinds of data, many companies and institutions are shifting into acquiring and utilizing a professional non-structural DBMS. These organizations find themselves obliged to translate and convert their old structured data into new formats and forms, in order to make a copy of this data in the new system. In order to avoid the consequences of such costly operations, we present the basics of a query language that allows a database user to query structural and non-structural databases at the same time using a single query. Our proposed language allows a database user to view the two databases (structured and non-structured) as a single DB on which a single query is executed. We present a testing of our system by using MySQL and HBase as the structured and non-structured databases.
{"title":"MQL: Mixed Query Language for Querying MySQL and HBase Databases","authors":"Khaleel W. Mershad","doi":"10.1109/ITCE.2019.8646477","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646477","url":null,"abstract":"During the last twenty years, the amount of stored digital data has witnessed an enormous growth. This data is usually divided by the scientific community into structured and unstructured data. Although unstructured data is becoming a significant part of big data, there are still a large number of data generators that save their data into traditional structured databases. With the advantages that exist in adopting non-structural database systems to save various kinds of data, many companies and institutions are shifting into acquiring and utilizing a professional non-structural DBMS. These organizations find themselves obliged to translate and convert their old structured data into new formats and forms, in order to make a copy of this data in the new system. In order to avoid the consequences of such costly operations, we present the basics of a query language that allows a database user to query structural and non-structural databases at the same time using a single query. Our proposed language allows a database user to view the two databases (structured and non-structured) as a single DB on which a single query is executed. We present a testing of our system by using MySQL and HBase as the structured and non-structured databases.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125584578","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646355
S. M. Nafea, F. Siewe, Ying He
Explosive growth of e-learning in the recent years has faced difficulty of locating appropriate learning resources to match the students learning styles. Recommender system is a promising technology in e-learning environments to present personalised offers and convey appropriate learning objects that match student inclinations. This paper, proposes a novel and effective recommender algorithm that recommends personalised learning objects based on the student learning styles. Various similarity metrics are considered in an experimental study to investigate the best similarity metrics to use in a recommender system for learning objects. The approach is based on the Felder and Silverman learning style model which is used to represent both the student learning styles and the learning object profiles. It was found that the K-means clustering algorithm, the cosine similarity metrics and the Pearson correlation coefficient are effective tools for implementing learning object recommender systems. The accuracy of the recommendations are measured using traditional evaluation metrics, namely the Mean Absolute Error and the Root Mean Squared Error.
{"title":"A Novel Algorithm for Course Learning Object Recommendation Based on Student Learning Styles","authors":"S. M. Nafea, F. Siewe, Ying He","doi":"10.1109/ITCE.2019.8646355","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646355","url":null,"abstract":"Explosive growth of e-learning in the recent years has faced difficulty of locating appropriate learning resources to match the students learning styles. Recommender system is a promising technology in e-learning environments to present personalised offers and convey appropriate learning objects that match student inclinations. This paper, proposes a novel and effective recommender algorithm that recommends personalised learning objects based on the student learning styles. Various similarity metrics are considered in an experimental study to investigate the best similarity metrics to use in a recommender system for learning objects. The approach is based on the Felder and Silverman learning style model which is used to represent both the student learning styles and the learning object profiles. It was found that the K-means clustering algorithm, the cosine similarity metrics and the Pearson correlation coefficient are effective tools for implementing learning object recommender systems. The accuracy of the recommendations are measured using traditional evaluation metrics, namely the Mean Absolute Error and the Root Mean Squared Error.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026196","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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