Pub Date : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541226
Shiva Shankar Reddy, K. Murthy, Dr Chinta Someswara Rao, Vmnssvkr Gupta
News media provides the information to the public about the regular events. Now-a-days social networks, such as twitter provides the user generated data about the news related contents. For this resource to be useful we must cluster the data and provides only the useful information. In this we used density based k-means algorithm and graph clustering algorithm for filtering the data. After filteration we rank the data based on frequency of keywords, relevant key terms and finally based on key term similarity in the dataset. We can also extend to other topics besides news, such as science, technology, sports, and other trends.
{"title":"An approach for extracting tweets from social media factors","authors":"Shiva Shankar Reddy, K. Murthy, Dr Chinta Someswara Rao, Vmnssvkr Gupta","doi":"10.1109/ICSCAN.2018.8541226","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541226","url":null,"abstract":"News media provides the information to the public about the regular events. Now-a-days social networks, such as twitter provides the user generated data about the news related contents. For this resource to be useful we must cluster the data and provides only the useful information. In this we used density based k-means algorithm and graph clustering algorithm for filtering the data. After filteration we rank the data based on frequency of keywords, relevant key terms and finally based on key term similarity in the dataset. We can also extend to other topics besides news, such as science, technology, sports, and other trends.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117222433","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541161
S. Bhuvana, Hoode Prathiksha, V. Sindhu, Hegde Vasudha
The vibration energy available abundantly in nature by various sources can be used for energy harvesting purpose and the vibration of machines can be used for condition monitoring of the machines. This paper presents the design and analysis of cantilever based piezoelectric vibration sensor. The design of the cantilever-based structure is done using Comsol Multiphysics and different parameters like deflection, stress, strain and voltage generated are analyzed. The dynamic response is also obtained to analyze deflections under the application of dynamic pressure at different modal frequencies. The vibration energy available from different vibration sources are sensed using this sensor to get the vibration signature. The simulated structure has natural frequency of approximately 56 Hz. The piezoelectric film sensor FS-2513P of similar dimensions (with Ag electrodes and protective layer) has natural frequency of 80 Hz. The Vibration source (Diesel engine) with vibration frequency 71.28 Hz generated the maximum voltage 2.45mV.
{"title":"Design and Analysis of Piezoelectric Cantilever Based Vibration Sensor","authors":"S. Bhuvana, Hoode Prathiksha, V. Sindhu, Hegde Vasudha","doi":"10.1109/ICSCAN.2018.8541161","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541161","url":null,"abstract":"The vibration energy available abundantly in nature by various sources can be used for energy harvesting purpose and the vibration of machines can be used for condition monitoring of the machines. This paper presents the design and analysis of cantilever based piezoelectric vibration sensor. The design of the cantilever-based structure is done using Comsol Multiphysics and different parameters like deflection, stress, strain and voltage generated are analyzed. The dynamic response is also obtained to analyze deflections under the application of dynamic pressure at different modal frequencies. The vibration energy available from different vibration sources are sensed using this sensor to get the vibration signature. The simulated structure has natural frequency of approximately 56 Hz. The piezoelectric film sensor FS-2513P of similar dimensions (with Ag electrodes and protective layer) has natural frequency of 80 Hz. The Vibration source (Diesel engine) with vibration frequency 71.28 Hz generated the maximum voltage 2.45mV.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134365893","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541254
P. Dash, A. Sigappi
Optical Coherence Tomography (OCT) is a non-invasive eye-imaging modality for detecting macular edema both in its early and advanced stages. The main aim of this work is to present the automatic detection of edema of the retinal layers particularly around the macula in diabetic patients. After detection and extracting certain features in the OCT retinal images a classification of the type of Diabetic Macular Edema is done. In this method during preprocessing stage we remove the speckle noise followed by flattening and cropping of the image is done. Then this is followed by Speeded up robust feature extraction. The extracted features are then classified using Support Vector Machine binary classifier as normal or abnormal and thus having Diabetic Macular Edema. This technique has been applied for 25 normal and 45 abnormal OCT images. The results show that this method accurately detected edema diseases in between the layers in the retinal. Then we could classify them using Support Vector Machine as normal or abnormal. Experimental results shows that an average retinal disease detection accuracy of 99% for Support Vector Machine (SVM) classifier. Thus, this algorithm can be used by ophthalmologists in early detection of Macular Edema.
{"title":"Detection and Classification of Retinal Diseases in Spectral Domain Optical Coherence Tomography Images based on SURF descriptors","authors":"P. Dash, A. Sigappi","doi":"10.1109/ICSCAN.2018.8541254","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541254","url":null,"abstract":"Optical Coherence Tomography (OCT) is a non-invasive eye-imaging modality for detecting macular edema both in its early and advanced stages. The main aim of this work is to present the automatic detection of edema of the retinal layers particularly around the macula in diabetic patients. After detection and extracting certain features in the OCT retinal images a classification of the type of Diabetic Macular Edema is done. In this method during preprocessing stage we remove the speckle noise followed by flattening and cropping of the image is done. Then this is followed by Speeded up robust feature extraction. The extracted features are then classified using Support Vector Machine binary classifier as normal or abnormal and thus having Diabetic Macular Edema. This technique has been applied for 25 normal and 45 abnormal OCT images. The results show that this method accurately detected edema diseases in between the layers in the retinal. Then we could classify them using Support Vector Machine as normal or abnormal. Experimental results shows that an average retinal disease detection accuracy of 99% for Support Vector Machine (SVM) classifier. Thus, this algorithm can be used by ophthalmologists in early detection of Macular Edema.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125046036","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541237
V. Joshi Manohar, V. Lakshmi Devi, Adinarayana
Particularly, the control of multilevel inverters at medium voltage and higher power levels have technical challenges like higher switching losses and high %THD. Control of multilevel inverters at low switching frequency is highly desirable at higher power levels and this can be achieved by Selective Harmonic Elimination (SHE) technique. Solving the non-linear transcendental SHE equations set at various values of modulation index as to attain feasible values of switching angles to control MLI is quite complex which involves a lot of computational effort. In order to interface DC source solar panels using SHE technique is quite complex because the solar panels may give slight variation in the output voltage. To find feasible switching angles as to control the MLI is a challenging task while in particular handling with unequal DC sources. In this paper, Modified Species based PSO algorithm has been used to find the optimum switching angles which are formed in control of three-phase CHB 7-level inverter with unequal dc sources by using selective harmonic elimination technique. MATLAB programming and SIMULINK environment have been used to validate the proposed approach. This research work enlightened, the %THDs obtained at various values of modulation indices are better and complies with IEEE 519-1992 harmonic guidelines too.
{"title":"SHE Controlled CHB 7-Level Inverter with Unequal DC Sources using MPSO Algorithm","authors":"V. Joshi Manohar, V. Lakshmi Devi, Adinarayana","doi":"10.1109/ICSCAN.2018.8541237","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541237","url":null,"abstract":"Particularly, the control of multilevel inverters at medium voltage and higher power levels have technical challenges like higher switching losses and high %THD. Control of multilevel inverters at low switching frequency is highly desirable at higher power levels and this can be achieved by Selective Harmonic Elimination (SHE) technique. Solving the non-linear transcendental SHE equations set at various values of modulation index as to attain feasible values of switching angles to control MLI is quite complex which involves a lot of computational effort. In order to interface DC source solar panels using SHE technique is quite complex because the solar panels may give slight variation in the output voltage. To find feasible switching angles as to control the MLI is a challenging task while in particular handling with unequal DC sources. In this paper, Modified Species based PSO algorithm has been used to find the optimum switching angles which are formed in control of three-phase CHB 7-level inverter with unequal dc sources by using selective harmonic elimination technique. MATLAB programming and SIMULINK environment have been used to validate the proposed approach. This research work enlightened, the %THDs obtained at various values of modulation indices are better and complies with IEEE 519-1992 harmonic guidelines too.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121962823","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541234
Ankitha Vaddeti, Phani Teja Sri Mandalapu, B. K. R. Alluri
Clustering is a technique in wireless sensor networks which is used to maintain energy of the nodes efficiently so that the lifetime of network can be prolonged. In many clustering algorithms, election of a cluster head is done dynamically based on its residual energy and distance from base station. Whenever the cluster head energy reaches a threshold, it is to be replaced by a new cluster head. The overhead involved in electing a new cluster head degrades the performance of the network, in terms of delay involved and energy consumed. To reduce this overhead we propose an algorithm, in which some nodes are selected as backup nodes based on their energy during the network deployment phase. Backup node replaces the cluster head when its energy reaches a threshold. We also ensure that the cluster head is not replaced by a malicious node.
{"title":"Energy Efficient Clustering Scheme Using Backup Nodes in WSNs","authors":"Ankitha Vaddeti, Phani Teja Sri Mandalapu, B. K. R. Alluri","doi":"10.1109/ICSCAN.2018.8541234","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541234","url":null,"abstract":"Clustering is a technique in wireless sensor networks which is used to maintain energy of the nodes efficiently so that the lifetime of network can be prolonged. In many clustering algorithms, election of a cluster head is done dynamically based on its residual energy and distance from base station. Whenever the cluster head energy reaches a threshold, it is to be replaced by a new cluster head. The overhead involved in electing a new cluster head degrades the performance of the network, in terms of delay involved and energy consumed. To reduce this overhead we propose an algorithm, in which some nodes are selected as backup nodes based on their energy during the network deployment phase. Backup node replaces the cluster head when its energy reaches a threshold. We also ensure that the cluster head is not replaced by a malicious node.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"443 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125765426","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541162
Prachi Banik, S. Gaikwad, Anagha Awate, Shahabaj Shaikh, Prathmesh N. Gunjgur, Puja Padiya
There is a boom in the growth of information available freely on the web where a search engine builds for a decisive component in understanding the content of the web pages and also serving the user queries according to their relevant information. The semantic web offers a hopeful approach in this context, ontologies can semantically seize concepts for any issue which will empower tools to accord the data semantically. In this paper, a proposed technique is developed which uses a score or weight based semantic relation between the user queries and gives a more relevant result. This system is moderated to Wikipedia related article as they are extracted from Wikipedia api. The similarity level between two articles is computed based on keyword content by computing similarity between two documents. We study various proposal in this regard thus the proposed system tries to optimize the results and the state-of-the-art analysis is presented. Likened to other similarity method, the proposed technique shows the highest Pearson correlation coefficient.
{"title":"Semantic Analysis of Wikipedia documents using Ontology","authors":"Prachi Banik, S. Gaikwad, Anagha Awate, Shahabaj Shaikh, Prathmesh N. Gunjgur, Puja Padiya","doi":"10.1109/ICSCAN.2018.8541162","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541162","url":null,"abstract":"There is a boom in the growth of information available freely on the web where a search engine builds for a decisive component in understanding the content of the web pages and also serving the user queries according to their relevant information. The semantic web offers a hopeful approach in this context, ontologies can semantically seize concepts for any issue which will empower tools to accord the data semantically. In this paper, a proposed technique is developed which uses a score or weight based semantic relation between the user queries and gives a more relevant result. This system is moderated to Wikipedia related article as they are extracted from Wikipedia api. The similarity level between two articles is computed based on keyword content by computing similarity between two documents. We study various proposal in this regard thus the proposed system tries to optimize the results and the state-of-the-art analysis is presented. Likened to other similarity method, the proposed technique shows the highest Pearson correlation coefficient.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795931","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 : 2018-07-01DOI: 10.1109/icscan.2018.8541198
D. Venkatesan, S. Radhika
In this paper the Z-source converter is introduced to power factor correction (PFC) applications. The concept is demonstrated through a wireless power transfer (WPT) system for electric vehicle battery charging, namely Z-source resonant converter (ZSRC). Due to the Z-source network (ZSN), the ZSRC inherently performs PFC and regulate the system output voltage simultaneously, without adding extra semiconductor devices and control circuitry to the conventional WPT system such as conventional PFC converters do. In other words, the ZSN can be categorized as a family of the single stage PFC converters. In addition, the ZSN is suitable for high power applications since it is immune to shoot-through states, which increases reliability and adds a boost feature to the system. The ZSRC-based WPT system operating principle is described and analyzed in this paper. Simulations, and experimental results based on a 1-kW prototype with 20-cm air gap between the system primary and secondary side are presented to validate the analysis, and demonstrate the effectiveness of the ZSN in the PFC of the WPT system.
{"title":"Power Factor Correction in Z-Source Resonant Converter for Wireless Power Transfer Applications","authors":"D. Venkatesan, S. Radhika","doi":"10.1109/icscan.2018.8541198","DOIUrl":"https://doi.org/10.1109/icscan.2018.8541198","url":null,"abstract":"In this paper the Z-source converter is introduced to power factor correction (PFC) applications. The concept is demonstrated through a wireless power transfer (WPT) system for electric vehicle battery charging, namely Z-source resonant converter (ZSRC). Due to the Z-source network (ZSN), the ZSRC inherently performs PFC and regulate the system output voltage simultaneously, without adding extra semiconductor devices and control circuitry to the conventional WPT system such as conventional PFC converters do. In other words, the ZSN can be categorized as a family of the single stage PFC converters. In addition, the ZSN is suitable for high power applications since it is immune to shoot-through states, which increases reliability and adds a boost feature to the system. The ZSRC-based WPT system operating principle is described and analyzed in this paper. Simulations, and experimental results based on a 1-kW prototype with 20-cm air gap between the system primary and secondary side are presented to validate the analysis, and demonstrate the effectiveness of the ZSN in the PFC of the WPT system.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136160","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541218
Akshit Yadav, Ashish Yadav, Abhey Sehrawat, P. Deshwal
The paper adduce the quantitative analysis of the student’s perception about the service provided by campus library and to find out how the library experience factors (Outcome Focus, Product experience, Peace-of-mind, and Moments-of-truth) have an mark on customers loyalty, word-of-mouth & satisfaction. Questionnaires with 34 different questions were circulated among the students of an engineering college of Delhi. Finally, the analysis was carried out on 311 responses. The linear regression test was performed on responses to check the linear relationship between the library experience factors and loyalty, word-of-mouth & satisfaction. The analysis verifies that the services have a beneficial impact on the user and also library experience factors correlate with the loyalty, word-of-mouth & satisfaction. The authors believe that they have used EXQ scale first time in India library context.
{"title":"A Statistical Study to Analyse the Effect of Services Experience Quality in a Library on User’s Behaviour","authors":"Akshit Yadav, Ashish Yadav, Abhey Sehrawat, P. Deshwal","doi":"10.1109/ICSCAN.2018.8541218","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541218","url":null,"abstract":"The paper adduce the quantitative analysis of the student’s perception about the service provided by campus library and to find out how the library experience factors (Outcome Focus, Product experience, Peace-of-mind, and Moments-of-truth) have an mark on customers loyalty, word-of-mouth & satisfaction. Questionnaires with 34 different questions were circulated among the students of an engineering college of Delhi. Finally, the analysis was carried out on 311 responses. The linear regression test was performed on responses to check the linear relationship between the library experience factors and loyalty, word-of-mouth & satisfaction. The analysis verifies that the services have a beneficial impact on the user and also library experience factors correlate with the loyalty, word-of-mouth & satisfaction. The authors believe that they have used EXQ scale first time in India library context.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123384619","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541185
S. Chinchkhede, Hemlata Dakhore
Access control is a fundamental security technique in systems in which multiple users share access to common resources. It is the process of stating and enforcing security A approach in network security for misbehavior detection system present a method for detecting malicious misbehavior activity within networks. Along with the detection, it also blocks the malicious system within the network and adds it to Blacklist. Malicious node defined as a compromised machine within the network that performs the task provided by i.e. it does not forward the legitimate message to another node in the network or sends some other message to a neighbor node. This system is based on Probabilistic threat propagation. This scheme is used in graph analysis for community detection. The proposed system enhances the prior community detection work by propagating threat probabilities across graph nodes. To demonstrate Probabilistic Threat Propagation (PTP) considers the task of detecting malicious node in the network. Proposed System also shows the relationship between PTP and loopy belief propagation.
{"title":"Access Level Privacy Protection for Security","authors":"S. Chinchkhede, Hemlata Dakhore","doi":"10.1109/ICSCAN.2018.8541185","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541185","url":null,"abstract":"Access control is a fundamental security technique in systems in which multiple users share access to common resources. It is the process of stating and enforcing security A approach in network security for misbehavior detection system present a method for detecting malicious misbehavior activity within networks. Along with the detection, it also blocks the malicious system within the network and adds it to Blacklist. Malicious node defined as a compromised machine within the network that performs the task provided by i.e. it does not forward the legitimate message to another node in the network or sends some other message to a neighbor node. This system is based on Probabilistic threat propagation. This scheme is used in graph analysis for community detection. The proposed system enhances the prior community detection work by propagating threat probabilities across graph nodes. To demonstrate Probabilistic Threat Propagation (PTP) considers the task of detecting malicious node in the network. Proposed System also shows the relationship between PTP and loopy belief propagation.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114793665","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 : 2018-07-01DOI: 10.1109/ICSCAN.2018.8541251
D. Saraswathi, P. Manibharathy, R. Gokulnath, E. Sureshkumar, K. Karthikeyan
Recently, hydroponics refers to the art of growing plants in water (either saline) without soil (land). Nutrients for the plants are supplied to the roots in the form of solution that can be either in the form of static or flowing. Hydroponics can be cultivated both in green house and glass house environment. The limitation in green house environment is to maintain the temperature, pressure, humidity value at a particular level. In addition to that, monitoring on PH value and electrical conductivity in hydroponics is another challenge that has to be monitored and maintained. Manual monitoring is in practice which is a very trivial task else the plants may die out. This project, focuses on two tasks, the first one is to automate the green house environment monitoring. The subsequent is automation of PH level and electrical conductivity maintenance. IOT is used to transfer the retrieved data to the internet (mass storage) and mobile app is used to communicate the current status to the user through the use of internet to their mobile phones, so that monitoring & maintenance will be easier.
{"title":"Automation of Hydroponics Green House Farming using IOT","authors":"D. Saraswathi, P. Manibharathy, R. Gokulnath, E. Sureshkumar, K. Karthikeyan","doi":"10.1109/ICSCAN.2018.8541251","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541251","url":null,"abstract":"Recently, hydroponics refers to the art of growing plants in water (either saline) without soil (land). Nutrients for the plants are supplied to the roots in the form of solution that can be either in the form of static or flowing. Hydroponics can be cultivated both in green house and glass house environment. The limitation in green house environment is to maintain the temperature, pressure, humidity value at a particular level. In addition to that, monitoring on PH value and electrical conductivity in hydroponics is another challenge that has to be monitored and maintained. Manual monitoring is in practice which is a very trivial task else the plants may die out. This project, focuses on two tasks, the first one is to automate the green house environment monitoring. The subsequent is automation of PH level and electrical conductivity maintenance. IOT is used to transfer the retrieved data to the internet (mass storage) and mobile app is used to communicate the current status to the user through the use of internet to their mobile phones, so that monitoring & maintenance will be easier.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133463004","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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