Pub Date : 1900-01-01DOI: 10.1109/ISCO.2016.7726877
G. Umamaheswari, C. Sumathi
In the new Steganographic technique, hiding is based on the difference between the secret message value and the pixel value of the green component of the image. The proposed method works in the spatial domain of the image. We check the difference value between secret byte ASCII (American Standard Code for Information Interchange) value and the pixel ASCII value. For comparison embedding is initially done without considering the difference of the pixel values. To prove the efficiency of the proposed method embedding is done based on the difference value. A difference less than or equal to 10 is considered so that the MSE (Mean Square Error) value is reduced and the PSNR (Peak Signal to Noise Ratio) value is increased when compared to the other techniques. We also show that there is improved PSNR and reduced MSE value while embedding in the green component when compared to embedding in the Red or the Blue component.
{"title":"Pixel selection based on the difference between secret message and cover image pixel for efficient information hiding","authors":"G. Umamaheswari, C. Sumathi","doi":"10.1109/ISCO.2016.7726877","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726877","url":null,"abstract":"In the new Steganographic technique, hiding is based on the difference between the secret message value and the pixel value of the green component of the image. The proposed method works in the spatial domain of the image. We check the difference value between secret byte ASCII (American Standard Code for Information Interchange) value and the pixel ASCII value. For comparison embedding is initially done without considering the difference of the pixel values. To prove the efficiency of the proposed method embedding is done based on the difference value. A difference less than or equal to 10 is considered so that the MSE (Mean Square Error) value is reduced and the PSNR (Peak Signal to Noise Ratio) value is increased when compared to the other techniques. We also show that there is improved PSNR and reduced MSE value while embedding in the green component when compared to embedding in the Red or the Blue component.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"121 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128490895","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7726949
Ajit Kumar, K. Sagar, K. Kuppusamy, G. Aghila
The popularity of smartphones usage especially Android mobile platform has increased to 80% of share in global smartphone operating systems market, as a result of which it is on the top in the attacker's target list. The fact of having more private data and low security assurance letting the attacker to write several malware programs in different ways for smartphone, and the possibility of obfuscating the malware detection applications through different coding techniques is giving more energy to attacker. Several approaches have been proposed to detect malwares through code analysis which are now severely facing the problem of code obfuscation and high computation requirement. We propose a machine learning based method to detect android malware by analyzing the visual representation of binary formatted apk file into Grayscale, RGB, CMYK and HSL. GIST feature from malware and benign image dataset were extracted and used to train machine learning algorithms. Initial experimental results are encouraging and computationally effective. Among machine learning algorithms Random Forest have achieved highest accuracy of 91% for grayscale image, which can be further improved by tuning the various parameters.
{"title":"Machine learning based malware classification for Android applications using multimodal image representations","authors":"Ajit Kumar, K. Sagar, K. Kuppusamy, G. Aghila","doi":"10.1109/ISCO.2016.7726949","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726949","url":null,"abstract":"The popularity of smartphones usage especially Android mobile platform has increased to 80% of share in global smartphone operating systems market, as a result of which it is on the top in the attacker's target list. The fact of having more private data and low security assurance letting the attacker to write several malware programs in different ways for smartphone, and the possibility of obfuscating the malware detection applications through different coding techniques is giving more energy to attacker. Several approaches have been proposed to detect malwares through code analysis which are now severely facing the problem of code obfuscation and high computation requirement. We propose a machine learning based method to detect android malware by analyzing the visual representation of binary formatted apk file into Grayscale, RGB, CMYK and HSL. GIST feature from malware and benign image dataset were extracted and used to train machine learning algorithms. Initial experimental results are encouraging and computationally effective. Among machine learning algorithms Random Forest have achieved highest accuracy of 91% for grayscale image, which can be further improved by tuning the various parameters.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697337","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7726937
Umamageswari Kumaresan, K. Ramanujam
World Wide Web is a huge repository of information and the information is presented in the disparate formats which make automated processing a cumbersome task. Search engines are used to query the WWW. Students and scholars find it difficult to determine the appropriate journals for the research article publication since performing a keyword search using search engines like Google, Yahoo etc. presents them with a list of publication site where the user need to click through a series of link to reach the journal web site and go through the details of the journals like Impact Factor, SNIP etc. manually. Suppose if a publication web site is linked to hundreds of journal web sites matching the user's topic of interest, it poses a serious problem on part of the user to manually determine the most reputed journal for the publication of his/her research article. This paper proposes a framework for extraction of Journal information in a single interaction with the system.
{"title":"A framework for extraction of journal information from scientific publishers web site","authors":"Umamageswari Kumaresan, K. Ramanujam","doi":"10.1109/ISCO.2016.7726937","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726937","url":null,"abstract":"World Wide Web is a huge repository of information and the information is presented in the disparate formats which make automated processing a cumbersome task. Search engines are used to query the WWW. Students and scholars find it difficult to determine the appropriate journals for the research article publication since performing a keyword search using search engines like Google, Yahoo etc. presents them with a list of publication site where the user need to click through a series of link to reach the journal web site and go through the details of the journals like Impact Factor, SNIP etc. manually. Suppose if a publication web site is linked to hundreds of journal web sites matching the user's topic of interest, it poses a serious problem on part of the user to manually determine the most reputed journal for the publication of his/her research article. This paper proposes a framework for extraction of Journal information in a single interaction with the system.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130488764","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7726933
Pranaw Kumar, M. Senapati, Saswati Das
Simulation results of a Photonic crystal fibers (PCFs) structure with two elliptical holes and circular holes have been studied. Area of elliptical holes are sixteen times more than that of circular holes. The simulation results shows that designed fiber can have wide application in various linear and nonlinear applications. The birefringence reported is very high and is of the order of 10-2. Dispersion observed at all the four optical windows is very low. However the reported dispersion is below 20ps/nm - km. Thus designed fibers can be used for optical sensor, optical switching and broadband amplification and other nonlinear properties. Besides we have studied confinement loss and normalized frequency of the designed fiber.
{"title":"Designing photonic crystal fiber for optical sensor and medical application and suitable for wavelength division multiplexing systems","authors":"Pranaw Kumar, M. Senapati, Saswati Das","doi":"10.1109/ISCO.2016.7726933","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726933","url":null,"abstract":"Simulation results of a Photonic crystal fibers (PCFs) structure with two elliptical holes and circular holes have been studied. Area of elliptical holes are sixteen times more than that of circular holes. The simulation results shows that designed fiber can have wide application in various linear and nonlinear applications. The birefringence reported is very high and is of the order of 10-2. Dispersion observed at all the four optical windows is very low. However the reported dispersion is below 20ps/nm - km. Thus designed fibers can be used for optical sensor, optical switching and broadband amplification and other nonlinear properties. Besides we have studied confinement loss and normalized frequency of the designed fiber.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123379452","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7727032
D. Sreeramulu, N. Ramesh, C. Rao
This paper proposes shop-floor programming system for integration of CAD and CAM for 3D prismatic parts having different features like slot, pocket, hole etc. The major modules of the proposed methodology are (i) Modeling module (ii) Interpreter module (iii)Automatic Feature Recognition (AFR) module (iv)Process planning module (v) Part Program generation module. In this paper, an object oriented approach has been used to model the 3D prismatic part in VC++ using ST-Developer software package. The part model is based on STEP AP 203, the resulting part 21 file is interpreted and converted in to a Parasolid, which is given has an input to the AFR module where the manufacturing view software is used to recognize the features automatically. By using workingstep list obtained from AFR module, machining time is calculated for each operation and an automatic process sequence has been generated with alternative sequence of operations having different machining times. The sequence which is having lowest machining time is given input to the commercial CAM system to generate part program.
针对具有槽、袋、孔等不同特征的三维棱形零件，提出了一种CAD与CAM集成的车间编程系统。提出的方法的主要模块是(i)建模模块(ii)解释器模块(iii)自动特征识别(AFR)模块(iv)工艺规划模块(v)零件程序生成模块。本文采用面向对象的方法，利用ST-Developer软件包在vc++中对三维棱柱体零件进行建模。零件模型基于STEP AP 203，得到的零件21文件被解释并转换为Parasolid，该Parasolid被输入到AFR模块，其中制造视图软件用于自动识别特征。利用AFR模块得到的工作步骤表，计算每道工序的加工时间，生成具有不同加工时间的备选工序序列的自动加工序列。将加工时间最短的顺序输入到商用CAM系统中生成零件程序。
{"title":"Integration of computer aided design and computer aided manufacturing using STEP data exchange standard","authors":"D. Sreeramulu, N. Ramesh, C. Rao","doi":"10.1109/ISCO.2016.7727032","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727032","url":null,"abstract":"This paper proposes shop-floor programming system for integration of CAD and CAM for 3D prismatic parts having different features like slot, pocket, hole etc. The major modules of the proposed methodology are (i) Modeling module (ii) Interpreter module (iii)Automatic Feature Recognition (AFR) module (iv)Process planning module (v) Part Program generation module. In this paper, an object oriented approach has been used to model the 3D prismatic part in VC++ using ST-Developer software package. The part model is based on STEP AP 203, the resulting part 21 file is interpreted and converted in to a Parasolid, which is given has an input to the AFR module where the manufacturing view software is used to recognize the features automatically. By using workingstep list obtained from AFR module, machining time is calculated for each operation and an automatic process sequence has been generated with alternative sequence of operations having different machining times. The sequence which is having lowest machining time is given input to the commercial CAM system to generate part program.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"24 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123654811","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7727117
Li Tingliao
Information system in big data environment has the characteristics of Volume, Velocity, Variety and Value. Currently, the information system audit goal mainly starting from the characteristics of information system itself, less combined with the specific business objectives. In this paper, Analyzed the influence of the information system under the condition of big data, as well as the potential risks, put forward the information system audit target system based on information system success model (D&M model).
{"title":"The IT audit research based on the information system success model and COBIT","authors":"Li Tingliao","doi":"10.1109/ISCO.2016.7727117","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727117","url":null,"abstract":"Information system in big data environment has the characteristics of Volume, Velocity, Variety and Value. Currently, the information system audit goal mainly starting from the characteristics of information system itself, less combined with the specific business objectives. In this paper, Analyzed the influence of the information system under the condition of big data, as well as the potential risks, put forward the information system audit target system based on information system success model (D&M model).","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672738","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7727028
Das Ujjwal, Prakhar Rastogi, S. Siddhartha
There are several information retrieval systems widely in use today. There are systems based on probabilistic models of relevance, language modeling and those based on DFR model. Though most of these can be applied in a cross-lingual environment, the retrieval efficiency varies widely in such a setting. In this paper we evaluate the performance of the IR models using different empirical parameters using English-Hindi corpus. We analyze the dependency of different models on the value of the empirical parameter and present the results. We observe that language modeling gives comparably better results even when relevance feedback is not available.
{"title":"Analysis of retrieval models for cross language information retrieval","authors":"Das Ujjwal, Prakhar Rastogi, S. Siddhartha","doi":"10.1109/ISCO.2016.7727028","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727028","url":null,"abstract":"There are several information retrieval systems widely in use today. There are systems based on probabilistic models of relevance, language modeling and those based on DFR model. Though most of these can be applied in a cross-lingual environment, the retrieval efficiency varies widely in such a setting. In this paper we evaluate the performance of the IR models using different empirical parameters using English-Hindi corpus. We analyze the dependency of different models on the value of the empirical parameter and present the results. We observe that language modeling gives comparably better results even when relevance feedback is not available.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296866","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7726915
P. M. Arabi, Gayatri Joshi, Surekha Nigudgi, N. Deepa
Malignant melanoma is one of the most frequent types of cancer, and melanoma is the most aggressive type of skin cancer. The malignant melanoma is curable if it is diagnosed at early stages. Main factors that cause melanoma are over exposure to sunlight and genetic factors. Every year 132000 people are affected by skin cancer over the worldwide. Early diagnosis will not only save the life of the people but also the quality of their life. Image processing techniques play a vital role in the diagnosis of malignant melonama. In this paper a novel method is proposed; The correlation factor which is found from the pixel intensity matrix of normal and abnormal mole images are found to make a decision the results obtained for a set of images show that the diagnosis of malignant melanoma by the proposed method is possible.
{"title":"Computer vision for diagnosis of malignant melanoma by pixel intensity matrix parameters","authors":"P. M. Arabi, Gayatri Joshi, Surekha Nigudgi, N. Deepa","doi":"10.1109/ISCO.2016.7726915","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726915","url":null,"abstract":"Malignant melanoma is one of the most frequent types of cancer, and melanoma is the most aggressive type of skin cancer. The malignant melanoma is curable if it is diagnosed at early stages. Main factors that cause melanoma are over exposure to sunlight and genetic factors. Every year 132000 people are affected by skin cancer over the worldwide. Early diagnosis will not only save the life of the people but also the quality of their life. Image processing techniques play a vital role in the diagnosis of malignant melonama. In this paper a novel method is proposed; The correlation factor which is found from the pixel intensity matrix of normal and abnormal mole images are found to make a decision the results obtained for a set of images show that the diagnosis of malignant melanoma by the proposed method is possible.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127792530","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7727043
E. Malarvizhi, J. Kamala, A. Sivasubramanian
Solar energy is the prime source of consumption for the world. It is the potential candidate for meeting the growing energy demand and solving environmental issues. To derive the maximum Power (MP) from the system, Maximum Power Point Tracking (MPPT) methods are implemented. It is highly essential to derive MP from the available solar energy. Over the years, numerous MPPT methods have been developed and presented in the literature. This paper discusses the evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems. It describes the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems.
{"title":"Evaluation of particle swarm optimization algorithm in photovoltaic applications","authors":"E. Malarvizhi, J. Kamala, A. Sivasubramanian","doi":"10.1109/ISCO.2016.7727043","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727043","url":null,"abstract":"Solar energy is the prime source of consumption for the world. It is the potential candidate for meeting the growing energy demand and solving environmental issues. To derive the maximum Power (MP) from the system, Maximum Power Point Tracking (MPPT) methods are implemented. It is highly essential to derive MP from the available solar energy. Over the years, numerous MPPT methods have been developed and presented in the literature. This paper discusses the evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems. It describes the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916195","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 : 1900-01-01DOI: 10.1109/ISCO.2016.7727083
M. Shyamalagowri, R. Rajeswari
In this paper, UKF has been applied to a highly nonlinear CSTR, in order to investigate the performance achieved by the state and parameter estimator. The Unscented Kalman Filter has become a standard technique used in a number of nonlinear estimation. The use of the UKF to a broader class of nonlinear estimation problems, including nonlinear system identification, training of neural networks, and dual estimation problems. UKFs use nonlinear unscented transforms (UTs) in the prediction step in order to preserve the stochastic characteristics of a nonlinear system. The advantage of using UTs is their ability to capture the nonlinear behavior of the system, unlike extended KFs (EKFs) that use linearized models. Four original variants of the UKF for CSTR state estimation, based on different UTs, are described, analyzed, and compared. The four transforms are basic, general, simplex, and spherical UTs. This paper discusses the theoretical aspects and implementation details of the four UKFs. Experimental results for a non linear process control reactor CSTR is presented. It is concluded that the UKF is a viable and powerful tool for CSTR state estimation and that basic and general UTs give more accurate results than simplex and spherical UTs. The proposed methodology is tested on a simulated continuous stirred tank reactor (CSTR) problem to estimate 4 states of this nonlinear plant. The simulation results demonstrate the superiority of the suggested method in state estimation compared with the classical UKF-based approach.
{"title":"Unscented Kalman filter based nonlinear state estimation case study — Nonlinear process control reactor (Continuous stirred tank reactor)","authors":"M. Shyamalagowri, R. Rajeswari","doi":"10.1109/ISCO.2016.7727083","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727083","url":null,"abstract":"In this paper, UKF has been applied to a highly nonlinear CSTR, in order to investigate the performance achieved by the state and parameter estimator. The Unscented Kalman Filter has become a standard technique used in a number of nonlinear estimation. The use of the UKF to a broader class of nonlinear estimation problems, including nonlinear system identification, training of neural networks, and dual estimation problems. UKFs use nonlinear unscented transforms (UTs) in the prediction step in order to preserve the stochastic characteristics of a nonlinear system. The advantage of using UTs is their ability to capture the nonlinear behavior of the system, unlike extended KFs (EKFs) that use linearized models. Four original variants of the UKF for CSTR state estimation, based on different UTs, are described, analyzed, and compared. The four transforms are basic, general, simplex, and spherical UTs. This paper discusses the theoretical aspects and implementation details of the four UKFs. Experimental results for a non linear process control reactor CSTR is presented. It is concluded that the UKF is a viable and powerful tool for CSTR state estimation and that basic and general UTs give more accurate results than simplex and spherical UTs. The proposed methodology is tested on a simulated continuous stirred tank reactor (CSTR) problem to estimate 4 states of this nonlinear plant. The simulation results demonstrate the superiority of the suggested method in state estimation compared with the classical UKF-based approach.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131508969","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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