Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285556
Mohammed Hassan, Mohamed Hamada
Frequent use of Internet applications and rapid growth of volumes of online resources have made it difficult for users to effectively make decisions on the kinds of information or items to select. Recommender systems (RSs) are intelligent decision-support tools that exploit users' preferences and suggest items that might be interesting to them. They are one of the various solutions used by online users to overcome the problem of information overload. Traditionally, RSs use single ratings to predict and represent preferences of users for items that are not yet seen. Multi-criteria RSs use multiple ratings to various items' attributes for improving prediction and recommendation accuracy of the systems. However, one major challenge of multi-criteria RSs is the choice of an efficient approach for modelling the criteria ratings. Therefore, this paper aimed at employing artificial neural networks to model the criteria ratings and determine the predictive performance of the systems based on aggregation function approach. Seven evaluation metrics have been used to evaluate and the accuracy of the systems. The empirical results of the study have shown that the proposed technique has the highest prediction and recommendation than the corresponding traditional technique.
{"title":"Performance analysis of neural networks-based multi-criteria recommender systems","authors":"Mohammed Hassan, Mohamed Hamada","doi":"10.1109/ICITISEE.2017.8285556","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285556","url":null,"abstract":"Frequent use of Internet applications and rapid growth of volumes of online resources have made it difficult for users to effectively make decisions on the kinds of information or items to select. Recommender systems (RSs) are intelligent decision-support tools that exploit users' preferences and suggest items that might be interesting to them. They are one of the various solutions used by online users to overcome the problem of information overload. Traditionally, RSs use single ratings to predict and represent preferences of users for items that are not yet seen. Multi-criteria RSs use multiple ratings to various items' attributes for improving prediction and recommendation accuracy of the systems. However, one major challenge of multi-criteria RSs is the choice of an efficient approach for modelling the criteria ratings. Therefore, this paper aimed at employing artificial neural networks to model the criteria ratings and determine the predictive performance of the systems based on aggregation function approach. Seven evaluation metrics have been used to evaluate and the accuracy of the systems. The empirical results of the study have shown that the proposed technique has the highest prediction and recommendation than the corresponding traditional technique.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"558 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124685910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285562
N. Karna
Managing knowledge has become common practice in many companies in Indonesia. However, this is not the same thing in education institution like a university. Each business process in the university will most likely be disrupted whenever a staff takes a leave or even resign. Several reasons arise to justify this behavior, like all other staffs are already busy, that is not my KPI (Key Performance Indicator) to be concerned, and I do not have the knowledge to perform such job. The third reason explains the absence of knowledge management in the business process. Since each university has a unique process business, a system for managing knowledge should be flexible enough to accommodate every possible process. One of the advantages of using knowledge management is the possibility to provide eLearning on top of the knowledge management system. While eLearning should also be flexible to accommodate every possible business process, it should also support reusability to ensure effective and efficient process with minimum time-to-deploy. This research proposes a model to ensure flexibility and reusability of eLearning on top of Knowledge Management System.
{"title":"New model of e-learning based on knowledge management system","authors":"N. Karna","doi":"10.1109/ICITISEE.2017.8285562","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285562","url":null,"abstract":"Managing knowledge has become common practice in many companies in Indonesia. However, this is not the same thing in education institution like a university. Each business process in the university will most likely be disrupted whenever a staff takes a leave or even resign. Several reasons arise to justify this behavior, like all other staffs are already busy, that is not my KPI (Key Performance Indicator) to be concerned, and I do not have the knowledge to perform such job. The third reason explains the absence of knowledge management in the business process. Since each university has a unique process business, a system for managing knowledge should be flexible enough to accommodate every possible process. One of the advantages of using knowledge management is the possibility to provide eLearning on top of the knowledge management system. While eLearning should also be flexible to accommodate every possible business process, it should also support reusability to ensure effective and efficient process with minimum time-to-deploy. This research proposes a model to ensure flexibility and reusability of eLearning on top of Knowledge Management System.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121292416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285563
Endy Sjaiful Alim, Hai Jin
Cloud computing is a technology that can provide many benefits in the field of education. The utilization of cloud computing technology is a necessity in the college environment, where collaborative learning is a main feature. Google Apps is one of the largest cloud computing service providers, offering multiple collaboration facilities. Measurable and planned adaptations to Google Apps can provide many benefits for higher education institutions. How is measurable and planned adaptation of cloud computing technology in higher education institutions? How to implement Google Apps to support collaboration activities at higher education institutions? With the five-step method of adopting cloud computing strategies at higher education institutions, it can be explored the benefits of using Google Apps to support collaborative activities at higher education institutions.
{"title":"Deployment of cloud computing for higher education using google apps","authors":"Endy Sjaiful Alim, Hai Jin","doi":"10.1109/ICITISEE.2017.8285563","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285563","url":null,"abstract":"Cloud computing is a technology that can provide many benefits in the field of education. The utilization of cloud computing technology is a necessity in the college environment, where collaborative learning is a main feature. Google Apps is one of the largest cloud computing service providers, offering multiple collaboration facilities. Measurable and planned adaptations to Google Apps can provide many benefits for higher education institutions. How is measurable and planned adaptation of cloud computing technology in higher education institutions? How to implement Google Apps to support collaboration activities at higher education institutions? With the five-step method of adopting cloud computing strategies at higher education institutions, it can be explored the benefits of using Google Apps to support collaborative activities at higher education institutions.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114076222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285515
L. Zahrotun
Online business competition is very tight. One strategy that can be done is to retain customers. By applying the concept of CRM (Customer Relationship Management), the online shop can identify customers, so customers can get special facilities in the appropriate marketing strategies according to their needs. This research discusses about how data mining process from customer data at shop online tokodiapers.com. The process of data mining begins with clustering process using Fuzzy C-Means (FCM) method which is then tested by clustering using purity test. The result of this research is a web-based data mining application that is able to segment customer data on tokodiapers.com using fuzzy C-Means clustering method. The test is done using purity test showed that the best grouping is found on the grouping with 4 clusters with the valueof purity test 0.79.
{"title":"Implementation of data mining technique for customer relationship management (CRM) on online shop tokodiapers.com with fuzzy c-means clustering","authors":"L. Zahrotun","doi":"10.1109/ICITISEE.2017.8285515","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285515","url":null,"abstract":"Online business competition is very tight. One strategy that can be done is to retain customers. By applying the concept of CRM (Customer Relationship Management), the online shop can identify customers, so customers can get special facilities in the appropriate marketing strategies according to their needs. This research discusses about how data mining process from customer data at shop online tokodiapers.com. The process of data mining begins with clustering process using Fuzzy C-Means (FCM) method which is then tested by clustering using purity test. The result of this research is a web-based data mining application that is able to segment customer data on tokodiapers.com using fuzzy C-Means clustering method. The test is done using purity test showed that the best grouping is found on the grouping with 4 clusters with the valueof purity test 0.79.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285525
F. Tempola, A. Arief, Miftah Muhammad
Reasoning by relying on old data or commonly known as the Case-Based Reasoning has been implemented in many cases. Case-Based Reasoning is one method by utilizing previous cases to produce a solution. This study implements a combination of Case-Based Reasoning and Nearest Neighbor for the determination of the status of the volcano. There are 5 features that serve as a criterion for determining the status of the shallow volcanic, deep tectonic, deep volcanic, earthquake blow and previous mountain status. While the recommended status of the form of Normal, standby and alert. From the test results with 20 data as a case base and 30 test data obtained on average accuracy of the system amounted to 80,91%.
{"title":"Combination of case-based reasoning and nearest neighbour for recommendation of volcano status","authors":"F. Tempola, A. Arief, Miftah Muhammad","doi":"10.1109/ICITISEE.2017.8285525","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285525","url":null,"abstract":"Reasoning by relying on old data or commonly known as the Case-Based Reasoning has been implemented in many cases. Case-Based Reasoning is one method by utilizing previous cases to produce a solution. This study implements a combination of Case-Based Reasoning and Nearest Neighbor for the determination of the status of the volcano. There are 5 features that serve as a criterion for determining the status of the shallow volcanic, deep tectonic, deep volcanic, earthquake blow and previous mountain status. While the recommended status of the form of Normal, standby and alert. From the test results with 20 data as a case base and 30 test data obtained on average accuracy of the system amounted to 80,91%.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131617156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285484
Dinda Lestarini, K. Surendro
E-service utilizing internet as a mean to interact and deliver services to users. The use of internet in e-service leads to increasing demands toward e-service providers. E-service providers are required to provide high-quality e-services and ensure that users get the best experience when using e-service. This study utilized Kano method to identify the impact of factors on the quality of e-services. Many studies suggested that Kano model is a better method to capture user needs. This study generated e-service quality measurement model. This model can be used by e-service provider as a tool to measure current e-service quality and as a guidance in developing a better e-service.
{"title":"Designing kano-based e-service quality model to improve user satisfaction","authors":"Dinda Lestarini, K. Surendro","doi":"10.1109/ICITISEE.2017.8285484","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285484","url":null,"abstract":"E-service utilizing internet as a mean to interact and deliver services to users. The use of internet in e-service leads to increasing demands toward e-service providers. E-service providers are required to provide high-quality e-services and ensure that users get the best experience when using e-service. This study utilized Kano method to identify the impact of factors on the quality of e-services. Many studies suggested that Kano model is a better method to capture user needs. This study generated e-service quality measurement model. This model can be used by e-service provider as a tool to measure current e-service quality and as a guidance in developing a better e-service.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133237169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285475
F. Oktafiani, Y. P. Saputera, Y. Wahyu
This paper describes about the antenna design for navigation radar application which has compact dimension and lightweight. Microstrip planar with rectangular patch is selected as an antenna design. A radar antenna is composed of 4 unit antenna module. An antenna module consists of 12 patches that are arranged in vertical and horizontal directions. Antenna feeding is located in the center of antenna module using one SMA connector. The simulation and measurement shows that the antenna design has a performance in accordance with the desired specifications. The antenna design is suitable for the application of navigation radar due to the simplicity in structure, lightweight and ease of fabrication.
{"title":"Lightweight and compact antenna design for navigation radar application","authors":"F. Oktafiani, Y. P. Saputera, Y. Wahyu","doi":"10.1109/ICITISEE.2017.8285475","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285475","url":null,"abstract":"This paper describes about the antenna design for navigation radar application which has compact dimension and lightweight. Microstrip planar with rectangular patch is selected as an antenna design. A radar antenna is composed of 4 unit antenna module. An antenna module consists of 12 patches that are arranged in vertical and horizontal directions. Antenna feeding is located in the center of antenna module using one SMA connector. The simulation and measurement shows that the antenna design has a performance in accordance with the desired specifications. The antenna design is suitable for the application of navigation radar due to the simplicity in structure, lightweight and ease of fabrication.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127409458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285501
N. Uddin, Teguh Aryo Nugroho, Wahyu Agung Pramudito
A control design for two-wheeled robot (TWR) stabilization using linear quadratic regulator (LQR) method and states estimation is presented. A two-wheeled robot is an unstable system such that a control system is required to stabilize it. LQR is a control design method where the control gain is calculated by minimizing a performance index. The LQR method results in a full states feedback control law. Applying the LQR method for TWR stabilization will require feedback from pitching angle and pitching rate angle measurements. However, the common available sensor in the TWR is only a rate gyro which measures the pitching rate angle. Theoretically, time integration of the pitching rate angle results in pitching angle but it is not practically applicable because the time integration of measurement data may result in an accumulation of error and noise. Instead of the time integration, a Luenberger observer is applied to estimate the pitching angle based on the pitching rate angle measurement. Simulations of the TWR stabilization using the designed controller are presented through two scenarios: 1) both required state feedback are assumed to be available, and 2) both required state feedback are obtained through estimation using Luenberger observer. The first scenario is representing an ideal condition, while the second scenario is representing a practical condition. Simulation results show that the TWR is stabilized for the both scenarios, where the control system performance in the second scenario is slightly less than the first scenario but still acceptable.
{"title":"Stabilizing Two-wheeled robot using linear quadratic regulator and states estimation","authors":"N. Uddin, Teguh Aryo Nugroho, Wahyu Agung Pramudito","doi":"10.1109/ICITISEE.2017.8285501","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285501","url":null,"abstract":"A control design for two-wheeled robot (TWR) stabilization using linear quadratic regulator (LQR) method and states estimation is presented. A two-wheeled robot is an unstable system such that a control system is required to stabilize it. LQR is a control design method where the control gain is calculated by minimizing a performance index. The LQR method results in a full states feedback control law. Applying the LQR method for TWR stabilization will require feedback from pitching angle and pitching rate angle measurements. However, the common available sensor in the TWR is only a rate gyro which measures the pitching rate angle. Theoretically, time integration of the pitching rate angle results in pitching angle but it is not practically applicable because the time integration of measurement data may result in an accumulation of error and noise. Instead of the time integration, a Luenberger observer is applied to estimate the pitching angle based on the pitching rate angle measurement. Simulations of the TWR stabilization using the designed controller are presented through two scenarios: 1) both required state feedback are assumed to be available, and 2) both required state feedback are obtained through estimation using Luenberger observer. The first scenario is representing an ideal condition, while the second scenario is representing a practical condition. Simulation results show that the TWR is stabilized for the both scenarios, where the control system performance in the second scenario is slightly less than the first scenario but still acceptable.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114422922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285491
T. Sutojo, D. Setiadi, Pungky Septiana Tirajani, C. A. Sari, E. H. Rachmawanto
Cow is one of the animals that have many benefits for humans. There are various types of cows based on benefits such as dairy cows, beef cattle, worker cattle, and others. Cattle breeding should be tailored to the needs of the public. Less knowledge about different types of cattle can reduce the benefits of farmed cattle. Content Based Image Retrieval (CBIR) can be applied to help the problem of distinguishing or knowing the type of cow. The first step of the method proposed in this research is preprocessing by changing the background color, resizing and conversion of color space. Color feature extraction calculates the average and standard deviation of the color intensity of each color component. Next extract the texture feature using Gray Level Cooccurrence Matrix (GLCM) to look for contrast, energy, correlation, homogeneity and entropy at each angle 0°, 45°, 90° and 135° with a mean of 1 averaged. Six color features and five texture features are used as attributes to perform calculations with Euclidean Distance, so it can be known the similarity between images. Cattle types used include Limousin, Simental, Brangus, Peranakan Ongole (PO), and Frisien Holstein (FH). With 100 training images and 20 test images. To measure the accuracy of the proposed CBIR is used Confusion Matrix. Based on the measurement results obtained accuracy of 95% while the precision and recall obtained 100%.
牛是对人类有很多好处的动物之一。奶牛的种类根据效益有不同，如奶牛、肉牛、工人牛等。养牛应根据公众的需要进行调整。对不同种类牛的了解不足会降低养殖牛的效益。基于内容的图像检索(Content Based Image Retrieval, CBIR)可以用来帮助识别或了解奶牛的类型。本研究提出的方法的第一步是通过改变背景颜色、调整大小和转换颜色空间进行预处理。颜色特征提取计算每个颜色分量的颜色强度的平均值和标准差。然后利用灰度共生矩阵(GLCM)提取纹理特征，分别在0°、45°、90°和135°角度寻找对比度、能量、相关性、均匀性和熵，平均值为1。以6个颜色特征和5个纹理特征作为属性，利用欧几里得距离进行计算，从而知道图像之间的相似度。使用的牛类型包括利穆赞(Limousin)、西蒙塔尔(Simental)、布兰格斯(Brangus)、Peranakan Ongole (PO)和Frisien Holstein (FH)。有100个训练图像和20个测试图像。为了衡量所提出的CBIR的准确性，使用了混淆矩阵。测量结果表明，该方法的准确度为95%，精密度和召回率均为100%。
{"title":"CBIR for classification of cow types using GLCM and color features extraction","authors":"T. Sutojo, D. Setiadi, Pungky Septiana Tirajani, C. A. Sari, E. H. Rachmawanto","doi":"10.1109/ICITISEE.2017.8285491","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285491","url":null,"abstract":"Cow is one of the animals that have many benefits for humans. There are various types of cows based on benefits such as dairy cows, beef cattle, worker cattle, and others. Cattle breeding should be tailored to the needs of the public. Less knowledge about different types of cattle can reduce the benefits of farmed cattle. Content Based Image Retrieval (CBIR) can be applied to help the problem of distinguishing or knowing the type of cow. The first step of the method proposed in this research is preprocessing by changing the background color, resizing and conversion of color space. Color feature extraction calculates the average and standard deviation of the color intensity of each color component. Next extract the texture feature using Gray Level Cooccurrence Matrix (GLCM) to look for contrast, energy, correlation, homogeneity and entropy at each angle 0°, 45°, 90° and 135° with a mean of 1 averaged. Six color features and five texture features are used as attributes to perform calculations with Euclidean Distance, so it can be known the similarity between images. Cattle types used include Limousin, Simental, Brangus, Peranakan Ongole (PO), and Frisien Holstein (FH). With 100 training images and 20 test images. To measure the accuracy of the proposed CBIR is used Confusion Matrix. Based on the measurement results obtained accuracy of 95% while the precision and recall obtained 100%.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114808936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICITISEE.2017.8285497
R. Alsisi, R. Rao
Orthogonal Frequency Division Multiplexing (OFDM) systems with Continuous Phase Chirp Modulation (CPCM) are considered. In these systems, this modulation is used to realize constant envelope OFDM signals. Both Discrete Cosine Transform (DCT)- and Fast Fourier Transform (FFT)-based OFDM systems are considered and their Bit Error Rate (BER) performances over AWGN and fading channels are presented. Expressions for BER over Ricean and Rayleigh channels are derived and illustrated as function of modulation parameters. Results indicate that use of DCT instead of FFT in an OFDM system with CPCM results in better BER performance.
{"title":"Constant envelope DCT- and FFT-based OFDM systems with continuous phase chirp modulation over fading channels","authors":"R. Alsisi, R. Rao","doi":"10.1109/ICITISEE.2017.8285497","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285497","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) systems with Continuous Phase Chirp Modulation (CPCM) are considered. In these systems, this modulation is used to realize constant envelope OFDM signals. Both Discrete Cosine Transform (DCT)- and Fast Fourier Transform (FFT)-based OFDM systems are considered and their Bit Error Rate (BER) performances over AWGN and fading channels are presented. Expressions for BER over Ricean and Rayleigh channels are derived and illustrated as function of modulation parameters. Results indicate that use of DCT instead of FFT in an OFDM system with CPCM results in better BER performance.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123625077","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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