Pub Date : 2017-09-01DOI: 10.1109/ICRITO.2017.8342479
K. Ganesh, P. Pushpalatha
Present real time applications require high speed fast Fourier transform (FFT) processors to process multiple independent data streams. This paper presents a high speed pipelined FFT processor to process two independent data streams concurrently. This processor takes inputs in normal order and generates outputs also in normal order. In this architecture, two N/2-point multipath delay commutator (MDC) FFT architectures are used to process even and odd samples of two data streams separately. To process bit reversal operations at different stages, the processor uses shift registers whose actual purpose is to delay the samples of data streams. So it does not require additional bit reversal circuits for getting normal output order. To get high computational speed, Dadda multipliers are used in the computation of butterfly processing elements. That multiplier is based on row reduction by compressing columns using less full adders and half adders compared to the conventional multipliers. Thus the Dadda multiplier's speed is more and takes less hardware. Therefore, by using the Dadda multipliers, the proposed FFT architecture has high speed of the computation and requires less hardware.
{"title":"Implementation of a high-speed pipelined FFT processor using dadda multipliers to process two independent data streams","authors":"K. Ganesh, P. Pushpalatha","doi":"10.1109/ICRITO.2017.8342479","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342479","url":null,"abstract":"Present real time applications require high speed fast Fourier transform (FFT) processors to process multiple independent data streams. This paper presents a high speed pipelined FFT processor to process two independent data streams concurrently. This processor takes inputs in normal order and generates outputs also in normal order. In this architecture, two N/2-point multipath delay commutator (MDC) FFT architectures are used to process even and odd samples of two data streams separately. To process bit reversal operations at different stages, the processor uses shift registers whose actual purpose is to delay the samples of data streams. So it does not require additional bit reversal circuits for getting normal output order. To get high computational speed, Dadda multipliers are used in the computation of butterfly processing elements. That multiplier is based on row reduction by compressing columns using less full adders and half adders compared to the conventional multipliers. Thus the Dadda multiplier's speed is more and takes less hardware. Therefore, by using the Dadda multipliers, the proposed FFT architecture has high speed of the computation and requires less hardware.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128608571","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342517
V. Makarov, O. Novikova, A. Tabakova
One cannot say that “Green construction” is wide-spread in Russia, while in the developed countries it is implemented in both: new construction and reconstruction projects. Therefore, it is important to identify current issues, concerning implementation of “Green construction” in Russia. The objective of this article is to explore the implementation perspectives of “Green” technologies in Russian construction and reconstruction as a common practice. To conduct the research, the following methodologies were used: comprehensive and systematic analysis, synthesis, analogy, logical sampling. The analysis of the Russian local legal requirements is performed and the reasons for the lack of implementation are identified. Moreover, the study of the “Green buildings” construction experience and best practices in the world and in Russia specifically was done. The justification of choice for the more expensive reconstruction or new construction projects is done. The concept of the “Green campus” is proposed, that is a demo-zone for the research and development of “Green building” technologies. The research proposed the new ways of financial funding, reduction of operational costs and testing of new “Green” technologies.
{"title":"Energy efficiency in “Green construction”: Experience, issues, trends","authors":"V. Makarov, O. Novikova, A. Tabakova","doi":"10.1109/ICRITO.2017.8342517","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342517","url":null,"abstract":"One cannot say that “Green construction” is wide-spread in Russia, while in the developed countries it is implemented in both: new construction and reconstruction projects. Therefore, it is important to identify current issues, concerning implementation of “Green construction” in Russia. The objective of this article is to explore the implementation perspectives of “Green” technologies in Russian construction and reconstruction as a common practice. To conduct the research, the following methodologies were used: comprehensive and systematic analysis, synthesis, analogy, logical sampling. The analysis of the Russian local legal requirements is performed and the reasons for the lack of implementation are identified. Moreover, the study of the “Green buildings” construction experience and best practices in the world and in Russia specifically was done. The justification of choice for the more expensive reconstruction or new construction projects is done. The concept of the “Green campus” is proposed, that is a demo-zone for the research and development of “Green building” technologies. The research proposed the new ways of financial funding, reduction of operational costs and testing of new “Green” technologies.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128796903","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342500
Neetu Mittal, Sudhir Tanwar, S. Khatri
A skin lesion is a portion of skin with an abnormal growth or presence due to a skin disease. Skin diseases at their early stages can be cured very easily; otherwise they begin to spread to other parts of the body and may be deadly. An early detection of skin disease is essential for such patients. Due to the high cost involved in various dermatology testing procedures for every patient, an automated system is required to give better lesion images and vision to help the doctors to further diagnose and prescribe the correct prescription and medication. In this paper, an innovative approach for automatic identification of skin lesions is proposed. To improve the quality of skin lesion images, Median filtering and Sobel edge detection techniques have been implemented for filtering and segmentation. The efficacy of the proposed work has been verified by measuring the entropy of the resultant images obtained for different skin diseases. The performance is tested on a dataset of 70 samples from 150 medical images of different body parts with 10 different classes of skin diseases.
{"title":"Identification & enhancement of different skin lesion images by segmentation techniques","authors":"Neetu Mittal, Sudhir Tanwar, S. Khatri","doi":"10.1109/ICRITO.2017.8342500","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342500","url":null,"abstract":"A skin lesion is a portion of skin with an abnormal growth or presence due to a skin disease. Skin diseases at their early stages can be cured very easily; otherwise they begin to spread to other parts of the body and may be deadly. An early detection of skin disease is essential for such patients. Due to the high cost involved in various dermatology testing procedures for every patient, an automated system is required to give better lesion images and vision to help the doctors to further diagnose and prescribe the correct prescription and medication. In this paper, an innovative approach for automatic identification of skin lesions is proposed. To improve the quality of skin lesion images, Median filtering and Sobel edge detection techniques have been implemented for filtering and segmentation. The efficacy of the proposed work has been verified by measuring the entropy of the resultant images obtained for different skin diseases. The performance is tested on a dataset of 70 samples from 150 medical images of different body parts with 10 different classes of skin diseases.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124695341","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342421
A. Gudkov, D. Dadonov, E. Krotkov, V. Shchepinin, N. Didenko, V. Parkhomenko
Field observation results of current and voltage higher harmonics levels, flowing in electrical power supply systems cable lines of electric centrifugal pump units are given. The mathematical representation of the stationary thermal field calculation in underground three-phase cable lines 0,4 kV and the surrounding environment as backfill and natural soil during non-sinusoidal currents flow is developed. By means of finite-element method numeral computations is shown that cables heating in no small part is defined by soil heat conductivity. On the basis of thermographic inspection and virtual modeling in the software package ELCUT the thermal effect of cables isolation additional heating buried in backfill or natural soil of non-sinusoidal currents flow is shown. The developed technique could be used when determining output capacity of the designed buried service cable lines taking into account influence of the current and voltage higher harmonics and soil characteristics.
{"title":"Thermal wear of cable lines isolation research owing to current flow of the high harmonics at oil extraction electrical generating systems","authors":"A. Gudkov, D. Dadonov, E. Krotkov, V. Shchepinin, N. Didenko, V. Parkhomenko","doi":"10.1109/ICRITO.2017.8342421","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342421","url":null,"abstract":"Field observation results of current and voltage higher harmonics levels, flowing in electrical power supply systems cable lines of electric centrifugal pump units are given. The mathematical representation of the stationary thermal field calculation in underground three-phase cable lines 0,4 kV and the surrounding environment as backfill and natural soil during non-sinusoidal currents flow is developed. By means of finite-element method numeral computations is shown that cables heating in no small part is defined by soil heat conductivity. On the basis of thermographic inspection and virtual modeling in the software package ELCUT the thermal effect of cables isolation additional heating buried in backfill or natural soil of non-sinusoidal currents flow is shown. The developed technique could be used when determining output capacity of the designed buried service cable lines taking into account influence of the current and voltage higher harmonics and soil characteristics.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403997","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342502
P. Pandey, Sarika Jain, S. Khatri
In this paper, a new enhancement process is introduced for medical images. The proposed technique will help the doctors and physicians to analyze the medical images more accurately. The medical images commonly include the issues of noise, bad quality and low intensity. Due to these issues, the surgeons and physicians always faces multiple complications to detect the exact disease. We introduce in this paper repetitive use of Kalman filter for improving the quality of various medical images. Results are shown with the help of pictures.
{"title":"Enhancement of medical images using Kalman filter","authors":"P. Pandey, Sarika Jain, S. Khatri","doi":"10.1109/ICRITO.2017.8342502","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342502","url":null,"abstract":"In this paper, a new enhancement process is introduced for medical images. The proposed technique will help the doctors and physicians to analyze the medical images more accurately. The medical images commonly include the issues of noise, bad quality and low intensity. Due to these issues, the surgeons and physicians always faces multiple complications to detect the exact disease. We introduce in this paper repetitive use of Kalman filter for improving the quality of various medical images. Results are shown with the help of pictures.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116899302","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342426
Kuiyuan Zhang, Jianping Li, E. J. Guo
For the semi-blind estimation problem of two-hop multi-input multi-output amplified forwarding (MIMO-AF) relay system, the parallel factor (PARAFAC) model is constructed for the received signal. Using the uniqueness of its decomposition, an ALS-LS algorithm is proposed. Based on the algorithm of least squares alternating (ALS) and adding relaxation factor, the ALS algorithm is used to achieve certain convergence conditions. The estimation result of the former algorithm is taken as the initial value, and then based on the ALS algorithm adding relaxation factor, using the relaxation factor to change the gradient direction, so as to speed up the convergence rate. And the performance of the channel model is analyzed by different parameters of the channel model. Simulation results show: compared with the existing least squares alternate algorithm, the complexity and iteration times of the algorithm are reduced, and the convergence speed of the algorithm is accelerated.
{"title":"Research on channel estimation algorithm of MIMO relay system based on PARAFAC model","authors":"Kuiyuan Zhang, Jianping Li, E. J. Guo","doi":"10.1109/ICRITO.2017.8342426","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342426","url":null,"abstract":"For the semi-blind estimation problem of two-hop multi-input multi-output amplified forwarding (MIMO-AF) relay system, the parallel factor (PARAFAC) model is constructed for the received signal. Using the uniqueness of its decomposition, an ALS-LS algorithm is proposed. Based on the algorithm of least squares alternating (ALS) and adding relaxation factor, the ALS algorithm is used to achieve certain convergence conditions. The estimation result of the former algorithm is taken as the initial value, and then based on the ALS algorithm adding relaxation factor, using the relaxation factor to change the gradient direction, so as to speed up the convergence rate. And the performance of the channel model is analyzed by different parameters of the channel model. Simulation results show: compared with the existing least squares alternate algorithm, the complexity and iteration times of the algorithm are reduced, and the convergence speed of the algorithm is accelerated.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134071404","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342516
Mohammed Saud Al-Adhoobi, Manju Jose, A. Singh
The aim of this study is to conduct an evaluation of different measures and enforcements which are essential for road safety. Effect and need of speed and speed limit are critically examined. This research paper also examines the means of maximizing enforcement strategies for road safety. The role of vehicle safety in road safety is also analyzed and elaborated.
{"title":"A review of different road safety measures and enforcements","authors":"Mohammed Saud Al-Adhoobi, Manju Jose, A. Singh","doi":"10.1109/ICRITO.2017.8342516","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342516","url":null,"abstract":"The aim of this study is to conduct an evaluation of different measures and enforcements which are essential for road safety. Effect and need of speed and speed limit are critically examined. This research paper also examines the means of maximizing enforcement strategies for road safety. The role of vehicle safety in road safety is also analyzed and elaborated.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132524024","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342510
Duaa Ali Al-Sabti, A. Singh, S. K. Jha
Social media is a technology that can be developed in a fast and flexible manner, where internet connections are transformed into interactive platforms. Social networking programs are increasingly spreading around the world. Facebook users reached 1.44 billion per month in 2015, which means that most of the people of the world have a stamp on social networking platforms. Social media platforms have become integral part of teens' daily life. 22% of teenagers are enrolled in social networking programs about 10 times a day. The remaining category, which makes up more than half of teenagers register more than once a day through the use of mobile phone, where the proportion of teenagers who have their own cell phones reach 75%. The results show by RSA that the rate of cybercrime reached 173% by mobile phones during the period 2013–2015. And, the RSA announce a large number of real examples of cybercrime that have occurred recently and continue to pose a major threat to society and specific to teenagers. Consequently, this paper review social media, society and business. Moreover, how he social media impact teenagers.
{"title":"Impact of social media on society in a large and specific to teenagers","authors":"Duaa Ali Al-Sabti, A. Singh, S. K. Jha","doi":"10.1109/ICRITO.2017.8342510","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342510","url":null,"abstract":"Social media is a technology that can be developed in a fast and flexible manner, where internet connections are transformed into interactive platforms. Social networking programs are increasingly spreading around the world. Facebook users reached 1.44 billion per month in 2015, which means that most of the people of the world have a stamp on social networking platforms. Social media platforms have become integral part of teens' daily life. 22% of teenagers are enrolled in social networking programs about 10 times a day. The remaining category, which makes up more than half of teenagers register more than once a day through the use of mobile phone, where the proportion of teenagers who have their own cell phones reach 75%. The results show by RSA that the rate of cybercrime reached 173% by mobile phones during the period 2013–2015. And, the RSA announce a large number of real examples of cybercrime that have occurred recently and continue to pose a major threat to society and specific to teenagers. Consequently, this paper review social media, society and business. Moreover, how he social media impact teenagers.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019633","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342450
Nidhi Chandra, S. Khatri, S. Som
Billions of contributions are made every day across multiple online communities and social media websites in the form of social messages, social blogs and online discussion. The aim of this paper is to identify such comments and posts which are racist and malicious in nature so that they could be effetely banned and removed in order to counter them. This article uses set of documents with racist comments as text corpus on which appropriate machine learning algorithm is applied to detect racist comments or meaning. To detect anti-social content there is a need to find the extent of similarity between a pair of text messages as a source and classified terms which are antisocial or in discriminating terms. The approach devised in this article to detect antisocial behavior is a technique based on term frequency based content classification.
{"title":"Anti social comment classification based on kNN algorithm","authors":"Nidhi Chandra, S. Khatri, S. Som","doi":"10.1109/ICRITO.2017.8342450","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342450","url":null,"abstract":"Billions of contributions are made every day across multiple online communities and social media websites in the form of social messages, social blogs and online discussion. The aim of this paper is to identify such comments and posts which are racist and malicious in nature so that they could be effetely banned and removed in order to counter them. This article uses set of documents with racist comments as text corpus on which appropriate machine learning algorithm is applied to detect racist comments or meaning. To detect anti-social content there is a need to find the extent of similarity between a pair of text messages as a source and classified terms which are antisocial or in discriminating terms. The approach devised in this article to detect antisocial behavior is a technique based on term frequency based content classification.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124899259","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 : 2017-09-01DOI: 10.1109/ICRITO.2017.8342490
Kanchan Hans, Laxmi Ahuja, S. K. Muttoo
Redirection spam detection is important to maintain the integrity of information on World Wide Web. It is of prime interest to search engines for quality information retrieval. Malicious redirections break the trust of users and create unusual traffic leading to wastage of expensive bandwidth and other resources. But detecting redirections is complicated owing to the genuine use of redirections for load balancing and URL shortening. Present work addresses this problem of malicious redirections and proposes an adaptive neuro-fuzzy model (ANFIS) for its detection. The model takes five input features and uses hybrid algorithm for learning. We also employ subtractive clustering technique to reduce the training time so as to facilitate the quick decision making. The proposed model is tested and validated using datasets. The experimental results indicate that the model detects redirection spam with high accuracy. Therefore, the proposed model can be used as an effective approach for redirection spam detection.
{"title":"An adaptive neuro-fuzzy inference system for detecting redirection spam","authors":"Kanchan Hans, Laxmi Ahuja, S. K. Muttoo","doi":"10.1109/ICRITO.2017.8342490","DOIUrl":"https://doi.org/10.1109/ICRITO.2017.8342490","url":null,"abstract":"Redirection spam detection is important to maintain the integrity of information on World Wide Web. It is of prime interest to search engines for quality information retrieval. Malicious redirections break the trust of users and create unusual traffic leading to wastage of expensive bandwidth and other resources. But detecting redirections is complicated owing to the genuine use of redirections for load balancing and URL shortening. Present work addresses this problem of malicious redirections and proposes an adaptive neuro-fuzzy model (ANFIS) for its detection. The model takes five input features and uses hybrid algorithm for learning. We also employ subtractive clustering technique to reduce the training time so as to facilitate the quick decision making. The proposed model is tested and validated using datasets. The experimental results indicate that the model detects redirection spam with high accuracy. Therefore, the proposed model can be used as an effective approach for redirection spam detection.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174036","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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