Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474273
Avneet Kaur, Ashmeet Kaur, Surbhi Sharma
Current research efforts in communication technology are shifting towards new paradigm namely, Internet of Things (IoTs). There is a strong need to tackle the challenge of introduction of massive data into network by IoT supported applications. For this, Cognitive Radio networks (CRNs) are seen as a potential solution. Enabling IoT objects with Cognitive radio features has led to new research dimension of CR based IoTs. Real time tuning of transmission parameters by Cognitive decision engine as per user needs and dynamic environment conditions is one of the important tasks. Determination of optimal value of transmission parameters becomes even more challenging for a multicarrier system because of high dimensionality as there are large number of decision variables to be optimized. Nature inspired metaheuristic optimization techniques offer an efficient and simple solution to the aforementioned problem. In this paper, comparative performance analysis of Differential evolution (DE) and Bat algorithm has been done for the parameter tuning problem. The results demonstrate that the parameter adaptation by DE based engine outperforms the Bat based implementation in terms of fitness score for the five different transmission modes supported by CR based IoTs.
{"title":"Cognitive decision engine design for CR based IoTs using Differential Evolution and Bat Algorithm","authors":"Avneet Kaur, Ashmeet Kaur, Surbhi Sharma","doi":"10.1109/SPIN.2018.8474273","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474273","url":null,"abstract":"Current research efforts in communication technology are shifting towards new paradigm namely, Internet of Things (IoTs). There is a strong need to tackle the challenge of introduction of massive data into network by IoT supported applications. For this, Cognitive Radio networks (CRNs) are seen as a potential solution. Enabling IoT objects with Cognitive radio features has led to new research dimension of CR based IoTs. Real time tuning of transmission parameters by Cognitive decision engine as per user needs and dynamic environment conditions is one of the important tasks. Determination of optimal value of transmission parameters becomes even more challenging for a multicarrier system because of high dimensionality as there are large number of decision variables to be optimized. Nature inspired metaheuristic optimization techniques offer an efficient and simple solution to the aforementioned problem. In this paper, comparative performance analysis of Differential evolution (DE) and Bat algorithm has been done for the parameter tuning problem. The results demonstrate that the parameter adaptation by DE based engine outperforms the Bat based implementation in terms of fitness score for the five different transmission modes supported by CR based IoTs.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123365958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474136
Alekha Kumar Mishra, Suma Shree Thota, Simrat Bains, M. Das, Shruti Singhai, Siddhant Choudhary, A. Tripathy
In recent of data, distributed sensor networks have become one of the primary source of generating big data. Therefore energy- efficient data gathering in densely distributed sensor networks is a demanding area of research. Among the various techniques of data acquisition, the mobile sink approach is highly suitable in densely distributed sensor networks. However, optimizing the trajectory of mobile sink is a crucial challenge to be addressed by researcher. The clustering-based Expectation Minimization technique proposed by Takaish et al. is an efficient approach to minimize the energy consumption of sensors while maintaining the node coverage. However, clustering of nodes may not ensure an optimal trajectory of mobile sink node. In this paper, we use genetic algorithm based approach to optimally select the data gathering points that minimize the distance of mobile sink trajectory to improve data collection time. The experimental results depict that the proposed technique is able to achieve optimal trajectory for mobile sink compared to Expectation Minimization technique.
{"title":"Genetic Algorithm based Approach to Determine Optimal Collection Points for Big Data Gathering in Distributed Sensor Networks","authors":"Alekha Kumar Mishra, Suma Shree Thota, Simrat Bains, M. Das, Shruti Singhai, Siddhant Choudhary, A. Tripathy","doi":"10.1109/SPIN.2018.8474136","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474136","url":null,"abstract":"In recent of data, distributed sensor networks have become one of the primary source of generating big data. Therefore energy- efficient data gathering in densely distributed sensor networks is a demanding area of research. Among the various techniques of data acquisition, the mobile sink approach is highly suitable in densely distributed sensor networks. However, optimizing the trajectory of mobile sink is a crucial challenge to be addressed by researcher. The clustering-based Expectation Minimization technique proposed by Takaish et al. is an efficient approach to minimize the energy consumption of sensors while maintaining the node coverage. However, clustering of nodes may not ensure an optimal trajectory of mobile sink node. In this paper, we use genetic algorithm based approach to optimally select the data gathering points that minimize the distance of mobile sink trajectory to improve data collection time. The experimental results depict that the proposed technique is able to achieve optimal trajectory for mobile sink compared to Expectation Minimization technique.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474038
Jaya Gautam, A. Bhateja
Iris Localization is the most challenging part of any Iris Recognition System. A lot of work has been done in efficient localization of iris but by taking the assumption that the person is looking straight into the Camera used for image capturing. To make this idea of Biometric System more robust, this paper introduces a new idea of polynomial curve fitting along with singleton expansion to accurately and efficiently localize the iris in any direction and distance from the camera. Also, a highly accurate pupil contour localization method is proposed which can be used in diagnosis of several eye related disorders.
{"title":"A Novel Method for Direction and Deformation Independent Iris Localization","authors":"Jaya Gautam, A. Bhateja","doi":"10.1109/SPIN.2018.8474038","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474038","url":null,"abstract":"Iris Localization is the most challenging part of any Iris Recognition System. A lot of work has been done in efficient localization of iris but by taking the assumption that the person is looking straight into the Camera used for image capturing. To make this idea of Biometric System more robust, this paper introduces a new idea of polynomial curve fitting along with singleton expansion to accurately and efficiently localize the iris in any direction and distance from the camera. Also, a highly accurate pupil contour localization method is proposed which can be used in diagnosis of several eye related disorders.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474278
B. Gupta, Megha Quamara
With Internet of Things (IoT) based subject-oriented and mobile applications gaining more importance, management of services, resources and data in a secure manner is becoming crucial, and requires efficient and sophisticated infrastructure and mechanisms. In this paper, we propose a multi-layered information transmission and storage framework for smart applications in IoT environment. The framework utilizes the concept of mixed Cloud to enhance the security of data to be stored. At the same time, Fog nodes are used to bridge the gap of latency in real time applications. Moreover, we present the security analysis of the proposed model, followed by the conclusion.
{"title":"Multi-layered Cloud and Fog based Secure Integrated Transmission and Storage Framework for IoT based Applications","authors":"B. Gupta, Megha Quamara","doi":"10.1109/SPIN.2018.8474278","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474278","url":null,"abstract":"With Internet of Things (IoT) based subject-oriented and mobile applications gaining more importance, management of services, resources and data in a secure manner is becoming crucial, and requires efficient and sophisticated infrastructure and mechanisms. In this paper, we propose a multi-layered information transmission and storage framework for smart applications in IoT environment. The framework utilizes the concept of mixed Cloud to enhance the security of data to be stored. At the same time, Fog nodes are used to bridge the gap of latency in real time applications. Moreover, we present the security analysis of the proposed model, followed by the conclusion.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128380070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474150
K. S. Kumar, Sudeep Sharma, P. Padhy
In this work, voltage regulation of the DC-DC Boost converter has been discussed. It is observed that boost converter shows non-minimum phase behavior when it is operated in continuous conduction mode of operation (CCM). Therefore, the proper voltage regulation in CCM mode has been done using modified IMC controller and then compared with control algorithms like PID control technique, IMC controller. To study the performance of these control methods, these are implemented in Matlab/ Simulink environment. The simulation results witness that the modified IMC controller is giving the better output voltage regulation compared with the conventional PID controller and IMC controller.
{"title":"Voltage regulation of DC-DC Boost converter using Modified IMC controller","authors":"K. S. Kumar, Sudeep Sharma, P. Padhy","doi":"10.1109/SPIN.2018.8474150","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474150","url":null,"abstract":"In this work, voltage regulation of the DC-DC Boost converter has been discussed. It is observed that boost converter shows non-minimum phase behavior when it is operated in continuous conduction mode of operation (CCM). Therefore, the proper voltage regulation in CCM mode has been done using modified IMC controller and then compared with control algorithms like PID control technique, IMC controller. To study the performance of these control methods, these are implemented in Matlab/ Simulink environment. The simulation results witness that the modified IMC controller is giving the better output voltage regulation compared with the conventional PID controller and IMC controller.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129583422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474166
Pankaj Singh, Vandana Khanna, Meenu Kamal
Intracranial hemorrhage is the primary cause of death for patients in early age. Lives of these patients depend on proper or accurate detection of Intracranial Hemorrhage (ICH). This paper presents a hybrid method of fuzzy c mean (FCM) clustering and modified version of distance regularize level set evolution (MDRLSE). Membership values and cluster center are used in FCM clustering for dividing hemorrhagic images into different clusters. One cluster is selected from the FCM clustered images which is used for initialization of MDRLSE. Level set function used in MDRLSE does not require re-initialization process. So convergence speed of active contour propagation becomes faster. Numbers of iterations are reduced in level set method because large time step is used by the MDRLSE method. Proposed hybrid method is evaluated on CT mages of 20 patients suffering from ICH. Result of proposed method provides highest accuracy as compared with FCM method and thresholding method.
{"title":"Hemorrhage segmentation by fuzzy c-mean with Modified Level Set on CT imaging","authors":"Pankaj Singh, Vandana Khanna, Meenu Kamal","doi":"10.1109/SPIN.2018.8474166","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474166","url":null,"abstract":"Intracranial hemorrhage is the primary cause of death for patients in early age. Lives of these patients depend on proper or accurate detection of Intracranial Hemorrhage (ICH). This paper presents a hybrid method of fuzzy c mean (FCM) clustering and modified version of distance regularize level set evolution (MDRLSE). Membership values and cluster center are used in FCM clustering for dividing hemorrhagic images into different clusters. One cluster is selected from the FCM clustered images which is used for initialization of MDRLSE. Level set function used in MDRLSE does not require re-initialization process. So convergence speed of active contour propagation becomes faster. Numbers of iterations are reduced in level set method because large time step is used by the MDRLSE method. Proposed hybrid method is evaluated on CT mages of 20 patients suffering from ICH. Result of proposed method provides highest accuracy as compared with FCM method and thresholding method.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130928320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474228
R. Priyadarshi, Lucky Singh, Anurag Singh, Ankush Thakur
From past few decade, growing attentiveness in arena of Wireless Sensor Networks. A foremost concern of sensor network is improvement of energy effectual routing protocols. Clustering is an effective approach to enhance energy effectiveness. Generally, dissimilar protocols assume 2 stage of node’s energy level. In certainty, dissimilar network comprise bulky variety of energy stages. By evaluating communiqué energy ingestion of the clusters and bulky variety of energy stages in dissimilar network, we suggest SEEN (Stable Energy Effectual Network) Protocol for dissimilar network. It considers sensor network comprising three energy stages of sensor nodes. Selection of Cluster Head in proposed protocol is done by residual energy level of nodes as well as distance parameter. Simulation outcomes display that proposed algorithm carries out better performances compared to various existing routing protocol in dissimilar sensor network in aspect of lifetime as well as stability of system.
{"title":"SEEN: Stable Energy Efficient Network for Wireless Sensor Network","authors":"R. Priyadarshi, Lucky Singh, Anurag Singh, Ankush Thakur","doi":"10.1109/SPIN.2018.8474228","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474228","url":null,"abstract":"From past few decade, growing attentiveness in arena of Wireless Sensor Networks. A foremost concern of sensor network is improvement of energy effectual routing protocols. Clustering is an effective approach to enhance energy effectiveness. Generally, dissimilar protocols assume 2 stage of node’s energy level. In certainty, dissimilar network comprise bulky variety of energy stages. By evaluating communiqué energy ingestion of the clusters and bulky variety of energy stages in dissimilar network, we suggest SEEN (Stable Energy Effectual Network) Protocol for dissimilar network. It considers sensor network comprising three energy stages of sensor nodes. Selection of Cluster Head in proposed protocol is done by residual energy level of nodes as well as distance parameter. Simulation outcomes display that proposed algorithm carries out better performances compared to various existing routing protocol in dissimilar sensor network in aspect of lifetime as well as stability of system.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131167988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474050
S. Sarkar, V. Janyani, G. Singh, Tawfik Ismail, H. Selmy
In this paper we have proposed a transceiver model which utilizes 64 QAM type of modulation scheme for free space optical communication, the unique feature of our proposed model is that it transmits very low optical power into FSO channel utilizing 64 QAM modulation scheme. The model performance was observed for various data rates up to 120Gbps and for a LOS range of 1.2 Km. The model was implemented on Optiwave – Optisystem software over a Free Space Optical communication channel.
{"title":"Design of 64 QAM Transceiver Model and its Performance Analysis for FSO Communication","authors":"S. Sarkar, V. Janyani, G. Singh, Tawfik Ismail, H. Selmy","doi":"10.1109/SPIN.2018.8474050","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474050","url":null,"abstract":"In this paper we have proposed a transceiver model which utilizes 64 QAM type of modulation scheme for free space optical communication, the unique feature of our proposed model is that it transmits very low optical power into FSO channel utilizing 64 QAM modulation scheme. The model performance was observed for various data rates up to 120Gbps and for a LOS range of 1.2 Km. The model was implemented on Optiwave – Optisystem software over a Free Space Optical communication channel.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129377097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474259
Raj Anwit
Data collection using mobile sink (MS) in wireless sensor network (WSN) is an efficient approach to collect data from sensor nodes (SNs). There are several advantages of using a MS like, it helps to alleviate the sink hole problem, balances energy consumption of the network, enhances network lifetime etc. The MS has to go through the WSN and collect data from SNs by stopping at some predefined locations from where SNs are in its vicinity. Finding the number of such locations is a fundamental problem in the path design of a MS. In this paper, we present a novel variable length gentic algorithm (VLGA) to find a solution to the problem. The algorithm finds the optimal number and location of sojourn points which are used to design the tour of the MS. The algorithm is simulated extensively and compared with the TSP algorithm. The results obtained shows better performance of VLGA over TSP algorithm in terms of path length and data collection time of the MS.
{"title":"A Variable Length Genetic Algorithm approach to Optimize Data Collection using Mobile Sink in Wireless Sensor Networks","authors":"Raj Anwit","doi":"10.1109/SPIN.2018.8474259","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474259","url":null,"abstract":"Data collection using mobile sink (MS) in wireless sensor network (WSN) is an efficient approach to collect data from sensor nodes (SNs). There are several advantages of using a MS like, it helps to alleviate the sink hole problem, balances energy consumption of the network, enhances network lifetime etc. The MS has to go through the WSN and collect data from SNs by stopping at some predefined locations from where SNs are in its vicinity. Finding the number of such locations is a fundamental problem in the path design of a MS. In this paper, we present a novel variable length gentic algorithm (VLGA) to find a solution to the problem. The algorithm finds the optimal number and location of sojourn points which are used to design the tour of the MS. The algorithm is simulated extensively and compared with the TSP algorithm. The results obtained shows better performance of VLGA over TSP algorithm in terms of path length and data collection time of the MS.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"26 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129932767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-02-01DOI: 10.1109/SPIN.2018.8474168
T. Biswas, P. Banerjee, A. Paul
With the establishment of Indian Regional Navigation Satellite System (IRNSS), India envisages to have an independent navigation system apart from GNSS. This system also brings great opportunity to the space science community to compare and study its performance with existing satellite-based navigation systems. The present study is focused on the variations of the IRNSS signals at different frequencies as well as with GPS, based on the parameters of ionospheric delay and receiver position.
{"title":"Testing the conformity of GPS and IRNSS in terms of ionospheric delay and position errors","authors":"T. Biswas, P. Banerjee, A. Paul","doi":"10.1109/SPIN.2018.8474168","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474168","url":null,"abstract":"With the establishment of Indian Regional Navigation Satellite System (IRNSS), India envisages to have an independent navigation system apart from GNSS. This system also brings great opportunity to the space science community to compare and study its performance with existing satellite-based navigation systems. The present study is focused on the variations of the IRNSS signals at different frequencies as well as with GPS, based on the parameters of ionospheric delay and receiver position.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128110300","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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