Pub Date : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987923
Mayur S. Patil, B. Ainapure
At present, in most of the areas of research, development and daily usage, almost all platforms and service providers are dependent on cloud computing. To achieve scalability and sustainability, cloud architecture is considered as a result of technological amalgamation. If the design of the architecture is complex in nature, it could have adverse effects on data recoverability and analysis when the system gets compromised. This type of structure introduces issues like inherent architecture flaws, backdoors, code smelling which could lead to exploitable vulnerabilities for hackers and scammers. Likewise, its complex nature puts limits on forensic investigation methods. For such problems, digital forensic provides a solution. It uses the three-stage approach which consists of evidence collection eye-witnessed by the user, evidence preservation in an unaltered way, offline safeguarding of evidence for feigning its collection. Among its various methods like live forensics, timeline analysis, logging, sandboxing, logging is generalized and easy to use method. The proposed work is about digital forensic technique, log analysis, which is the most effective approach to override investigation issues in the cloud environment. Snort, Network Intrusion Detection System (NIDS), will work as a daemon on Eucalyptus private cloud to monitor and log intrusive attempts of network activities on it. Second, the proposed approach will fix the incapability of Eucalyptus to export logs to the rSyslog server. Third, the generated datasets, irrespective of location and format, would be analyzed by Hadoop, for improved analysis of a system.
{"title":"Analysis of Dataset in Private Cloud for Cloud Forensics Using Eucalyptus and Hadoop","authors":"Mayur S. Patil, B. Ainapure","doi":"10.1109/ICSSIT46314.2019.8987923","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987923","url":null,"abstract":"At present, in most of the areas of research, development and daily usage, almost all platforms and service providers are dependent on cloud computing. To achieve scalability and sustainability, cloud architecture is considered as a result of technological amalgamation. If the design of the architecture is complex in nature, it could have adverse effects on data recoverability and analysis when the system gets compromised. This type of structure introduces issues like inherent architecture flaws, backdoors, code smelling which could lead to exploitable vulnerabilities for hackers and scammers. Likewise, its complex nature puts limits on forensic investigation methods. For such problems, digital forensic provides a solution. It uses the three-stage approach which consists of evidence collection eye-witnessed by the user, evidence preservation in an unaltered way, offline safeguarding of evidence for feigning its collection. Among its various methods like live forensics, timeline analysis, logging, sandboxing, logging is generalized and easy to use method. The proposed work is about digital forensic technique, log analysis, which is the most effective approach to override investigation issues in the cloud environment. Snort, Network Intrusion Detection System (NIDS), will work as a daemon on Eucalyptus private cloud to monitor and log intrusive attempts of network activities on it. Second, the proposed approach will fix the incapability of Eucalyptus to export logs to the rSyslog server. Third, the generated datasets, irrespective of location and format, would be analyzed by Hadoop, for improved analysis of a system.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"632 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698098","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987970
Soubhagyaseetha N, D. Kamath
The paper discusses the design and circuit realization of a low-pass fractional Bessel filter of order ($1+alpha$) using the inverse-follow-the-leader-feedback (IFLF) structure. The transfer function of the Bessel filter is verified for correctness using MATLAB software. The circuit realization of Bessel filter using voltage controlled current source (VCCS) behavioral model of $G_{m}$-block is validated using Cadence software. The flexibility to adjust the cut-off frequency for different values of $alpha$ has been verified. The group delay and step response plots for different values of $alpha$ are presented.
{"title":"Gm-C Fractional Bessel Filter Of Order ($1+alpha$)","authors":"Soubhagyaseetha N, D. Kamath","doi":"10.1109/ICSSIT46314.2019.8987970","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987970","url":null,"abstract":"The paper discusses the design and circuit realization of a low-pass fractional Bessel filter of order ($1+alpha$) using the inverse-follow-the-leader-feedback (IFLF) structure. The transfer function of the Bessel filter is verified for correctness using MATLAB software. The circuit realization of Bessel filter using voltage controlled current source (VCCS) behavioral model of $G_{m}$-block is validated using Cadence software. The flexibility to adjust the cut-off frequency for different values of $alpha$ has been verified. The group delay and step response plots for different values of $alpha$ are presented.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"417 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851628","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987955
M. Jayanthi, D. Shashikumar
Now-a-days disease is one of the most significant issues in the agricultural field especially in the paddy leaf because it gradually minimizes the productivity with a degradation in the health condition of the rice. The issue present in the agricultural field is reduced by different image processing and soft computing approaches but in certain situation, the elimination of the disease is still remains as a bottleneck. Hence, in this paper novel automatic paddy leaf disease detection using optimized fuzzy interference system (OFIS) has been proposed. Initially, the captured paddy images are transformed into Red, Green and Blue band and noise present in the green band is removed with the help of median filter. Afterwards, the texture and colour features are extracted from the pre-processed green band. Then, the extracted features are given to the OFIS system to classify the image as normal or diseased. FIS is a rule based algorithm and it used linguistic variables for classification process. To enhance the fuzzy system, the parameter of fuzzy system is optimally selected with the help of variable step size firefly algorithm (VSSFA). The outcome of the proposed system is analyzed in terms of Accuracy, sensitivity, and specificity.
{"title":"A Model for Early Detection of Paddy Leaf Disease using Optimized Fuzzy Inference System","authors":"M. Jayanthi, D. Shashikumar","doi":"10.1109/ICSSIT46314.2019.8987955","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987955","url":null,"abstract":"Now-a-days disease is one of the most significant issues in the agricultural field especially in the paddy leaf because it gradually minimizes the productivity with a degradation in the health condition of the rice. The issue present in the agricultural field is reduced by different image processing and soft computing approaches but in certain situation, the elimination of the disease is still remains as a bottleneck. Hence, in this paper novel automatic paddy leaf disease detection using optimized fuzzy interference system (OFIS) has been proposed. Initially, the captured paddy images are transformed into Red, Green and Blue band and noise present in the green band is removed with the help of median filter. Afterwards, the texture and colour features are extracted from the pre-processed green band. Then, the extracted features are given to the OFIS system to classify the image as normal or diseased. FIS is a rule based algorithm and it used linguistic variables for classification process. To enhance the fuzzy system, the parameter of fuzzy system is optimally selected with the help of variable step size firefly algorithm (VSSFA). The outcome of the proposed system is analyzed in terms of Accuracy, sensitivity, and specificity.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"11 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123307518","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987774
M. Gautam, S. Raviteja, R. Mahalakshmi
Fossil fuel depletion has led to the increase in usage of solar energy. Many plants have been setup in various parts of the India to harness this energy. One of the major contributors is Karnataka. The electricity demand here is met using both energy from non-renewable energy and solar energy. The technology used to meet the demand is by injecting all the power from all the sources to a single transmission line. This is then distributed to different feeders according to its needs. Solar energy is not used to its fullest since it is only injected to the transmission line and extra energy is only stored for reserve. A framework is been introduced in order to make this solar energy used to its full extent and usage of other power is only at times when solar energy is not able to meet the demand. This framework proposes a unique switching strategy by maximizing the usage of solar employing various machine learning algorithms. The data of all the powers and demand are taken from Karnataka power transmission corporation limited (KPTCL) official website for prediction using machine learning techniques. Out of many algorithms used such as linear regression, logistic regression, decision tree, random forest and support vector machines (SVM), it is found that random forest is most efficient and gives the best switching configuration for maximum usage of solar energy.
{"title":"Energy Management in Electrical Power System Employing Machine Learning","authors":"M. Gautam, S. Raviteja, R. Mahalakshmi","doi":"10.1109/ICSSIT46314.2019.8987774","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987774","url":null,"abstract":"Fossil fuel depletion has led to the increase in usage of solar energy. Many plants have been setup in various parts of the India to harness this energy. One of the major contributors is Karnataka. The electricity demand here is met using both energy from non-renewable energy and solar energy. The technology used to meet the demand is by injecting all the power from all the sources to a single transmission line. This is then distributed to different feeders according to its needs. Solar energy is not used to its fullest since it is only injected to the transmission line and extra energy is only stored for reserve. A framework is been introduced in order to make this solar energy used to its full extent and usage of other power is only at times when solar energy is not able to meet the demand. This framework proposes a unique switching strategy by maximizing the usage of solar employing various machine learning algorithms. The data of all the powers and demand are taken from Karnataka power transmission corporation limited (KPTCL) official website for prediction using machine learning techniques. Out of many algorithms used such as linear regression, logistic regression, decision tree, random forest and support vector machines (SVM), it is found that random forest is most efficient and gives the best switching configuration for maximum usage of solar energy.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124972","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987924
M. A.G, P. Hadalgi
A multiband microstrip antenna using a quarter-wave transformer feed is designed for 3.5 GHz, with corners truncated in the form of a U-shape and a rectangular-shaped slot-loaded on patch is designed for 8x4 dimensions on an FR4 substrate. The antenna is resonating at six different frequencies with the highest gain of 9.04 dB at 2.95 GHz. ANSYS High-Frequency Structure Simulator [HFSS] is used to simulate the antenna. The designed antenna produces better return loss for all the six bands with good VSWR less than −1.5. The radiation pattern of the proposed antenna shows the broadside direction with a radiation efficiency is 17.89 at 6.85 GHz frequency. Hence it can be used in multiband, radio navigation and aeronautical application.
{"title":"Rectangular Slotted Microstrip Antenna for Multiband Application","authors":"M. A.G, P. Hadalgi","doi":"10.1109/ICSSIT46314.2019.8987924","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987924","url":null,"abstract":"A multiband microstrip antenna using a quarter-wave transformer feed is designed for 3.5 GHz, with corners truncated in the form of a U-shape and a rectangular-shaped slot-loaded on patch is designed for 8x4 dimensions on an FR4 substrate. The antenna is resonating at six different frequencies with the highest gain of 9.04 dB at 2.95 GHz. ANSYS High-Frequency Structure Simulator [HFSS] is used to simulate the antenna. The designed antenna produces better return loss for all the six bands with good VSWR less than −1.5. The radiation pattern of the proposed antenna shows the broadside direction with a radiation efficiency is 17.89 at 6.85 GHz frequency. Hence it can be used in multiband, radio navigation and aeronautical application.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132668927","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987974
Khushaboo Chourasiya, Saima Khan, S. Singh
The paper aims in developing a finite impulse response filter architecture that relies on the multipliers to overcome the shortcomings in the prevailing method and heighten the speed of the filters by employing the adders. The algorithm of the Vedic multiplier is generally utilized for the applications of higher bit length were the lower order bits work well with the ordinary multiplier. The Vedic multiplier and the ordinary multiplier is integrated to develop a multiplier of higher speed for an applications with the higher bit length. The bits of the remainders are eluded to reduce the issues faced in the prevailing architecture. The proffered algorithm is implemented using the Xilinx software Vertex-7.
{"title":"Design Area-time Efficient Pipeline Architecture for Finite Impulse Recursive System","authors":"Khushaboo Chourasiya, Saima Khan, S. Singh","doi":"10.1109/ICSSIT46314.2019.8987974","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987974","url":null,"abstract":"The paper aims in developing a finite impulse response filter architecture that relies on the multipliers to overcome the shortcomings in the prevailing method and heighten the speed of the filters by employing the adders. The algorithm of the Vedic multiplier is generally utilized for the applications of higher bit length were the lower order bits work well with the ordinary multiplier. The Vedic multiplier and the ordinary multiplier is integrated to develop a multiplier of higher speed for an applications with the higher bit length. The bits of the remainders are eluded to reduce the issues faced in the prevailing architecture. The proffered algorithm is implemented using the Xilinx software Vertex-7.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131093776","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987973
S. Kalaivani, G. Geetha, S.M. Mufliha Banu, S. Sowjanya, R. Vishali, C. Tharini
Noise reduction in Real time signal is a key challenge in Communication system. Active noise cancelling technique is used to minimize the distracting background noise from the real-time signal and to provide pleasant voice during communication in portable devices. Active Noise Cancellation is a technique of reducing unwanted sound by generating the anti-noise signal. The anti-noise signal is generated by using algorithms like Least Mean Square Algorithm (LMS), Normalized Least Mean Square Algorithm (NLMS), and Filtered X Least Mean Square Algorithm (FXLMS) for developing the ANC system. The generated anti-noise helps to reduce the distracting background noise and provides noise free desired signal output. In the proposed work anti-noise is generated for various real-time recorded noise signals like crow noise, train whistle noise, AC noise and multiple noises obtained as the combination of two noises using LMS, NLMS and FXLMS algorithm. The anti-noise signal generated is then used to cancel the respective noise added with the different input signals. The input signals considered are sine signal, real-time voice and song. Performance analysis of the algorithms is carried out based on the parameters like RMSE, SNR, and convergence time using MATLAB simulation software.
{"title":"Analysis of Adaptive Filter Algorithms in Real Time Signals","authors":"S. Kalaivani, G. Geetha, S.M. Mufliha Banu, S. Sowjanya, R. Vishali, C. Tharini","doi":"10.1109/ICSSIT46314.2019.8987973","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987973","url":null,"abstract":"Noise reduction in Real time signal is a key challenge in Communication system. Active noise cancelling technique is used to minimize the distracting background noise from the real-time signal and to provide pleasant voice during communication in portable devices. Active Noise Cancellation is a technique of reducing unwanted sound by generating the anti-noise signal. The anti-noise signal is generated by using algorithms like Least Mean Square Algorithm (LMS), Normalized Least Mean Square Algorithm (NLMS), and Filtered X Least Mean Square Algorithm (FXLMS) for developing the ANC system. The generated anti-noise helps to reduce the distracting background noise and provides noise free desired signal output. In the proposed work anti-noise is generated for various real-time recorded noise signals like crow noise, train whistle noise, AC noise and multiple noises obtained as the combination of two noises using LMS, NLMS and FXLMS algorithm. The anti-noise signal generated is then used to cancel the respective noise added with the different input signals. The input signals considered are sine signal, real-time voice and song. Performance analysis of the algorithms is carried out based on the parameters like RMSE, SNR, and convergence time using MATLAB simulation software.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128368571","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987587
Aleena Devasia, M. Chattopadhyay
The ability of grating based optical waveguide structures for Wavelength Division Multiplexing is demonstrated. In addition to the conventional function of an input grating coupled waveguide to couple an incident surface beam from an optical source like an optical fiber into a planar waveguide, a modified design to have a predetermined wavelength multiplexing response has been modelled and analysed. The structure is designed for 1550 nm wavelength and the separation between the wavelengths obtained is 10 nm. An improved waveguide structure of apodized grating profile along the waveguide is modelled for 1310 nm operation. There is a significant increase in the number of channels with an improved channel bandwidth.
{"title":"Modelling of Grating based waveguide structures for Wavelength Division Multiplexing","authors":"Aleena Devasia, M. Chattopadhyay","doi":"10.1109/ICSSIT46314.2019.8987587","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987587","url":null,"abstract":"The ability of grating based optical waveguide structures for Wavelength Division Multiplexing is demonstrated. In addition to the conventional function of an input grating coupled waveguide to couple an incident surface beam from an optical source like an optical fiber into a planar waveguide, a modified design to have a predetermined wavelength multiplexing response has been modelled and analysed. The structure is designed for 1550 nm wavelength and the separation between the wavelengths obtained is 10 nm. An improved waveguide structure of apodized grating profile along the waveguide is modelled for 1310 nm operation. There is a significant increase in the number of channels with an improved channel bandwidth.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131722497","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987781
R. Dayanand, D. Noola
Agricultural plays a significant role in human survival and it has become much more essential due to population increase and food demand, and hence the crop yield has to be produced according to the demand. However, one of the reason that quality and quantity of the crop gets compromised is the disease and in past various methodology has been proposed, however they lack on the various model metrics or the segmentation is achieved for the particular leaf,. In this paper, we have proposed a methodology named as SCPA (Segmentation through Connected Pixel Approach). The main objective of this paper is to achieve high accuracy segmentation. SCPA is the two step approach first we find the ROI(Region of Interest) of the particular leaf and in the second approach we find the instance based ROI i.e. for the whole plant, here both the step are performed simultaneously through incorporating one another. Moreover, SCPA is optimized iterative-based method and it is achieved through the approach of connected pixel approach. Connected pixels are the one where the edge of one pixel is connected to the other. When performed on the LSC dataset we achieve the accuracy of 95.10%. This methodology is compared with the various state of art model and existing system by considering the model metric such as SBD, the results shows that SCPA model performs better than the other exiting method also the pictorial comparison of segmented leaf are shown and it shows our model identify it well when compared to others.
农业在人类生存中扮演着重要的角色，由于人口的增长和对食物的需求，农业变得更加重要，因此作物产量必须根据需求来生产。然而，作物的质量和数量受到损害的原因之一是疾病，过去已经提出了各种方法，但是它们缺乏各种模型度量或对特定叶子的分割。在本文中，我们提出了一种名为SCPA (Segmentation through Connected Pixel Approach)的方法。本文的主要目标是实现高精度的分割。SCPA是两步方法，第一步我们找到特定叶子的ROI(感兴趣区域)，第二步我们找到基于实例的ROI，即对于整个植物，这两个步骤通过合并同时执行。此外，SCPA是一种基于迭代的优化方法，并通过连通像素法实现。连通像素是指一个像素的边缘连接到另一个像素的边缘。当在LSC数据集上执行时，我们实现了95.10%的准确率。通过考虑SBD等模型度量，将该方法与各种先进的模型和现有系统进行了比较，结果表明SCPA模型比其他现有方法性能更好，并给出了分割叶片的图像比较，表明我们的模型与其他方法相比具有更好的识别能力。
{"title":"Plant leaf segmentation through connected pixel approach","authors":"R. Dayanand, D. Noola","doi":"10.1109/ICSSIT46314.2019.8987781","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987781","url":null,"abstract":"Agricultural plays a significant role in human survival and it has become much more essential due to population increase and food demand, and hence the crop yield has to be produced according to the demand. However, one of the reason that quality and quantity of the crop gets compromised is the disease and in past various methodology has been proposed, however they lack on the various model metrics or the segmentation is achieved for the particular leaf,. In this paper, we have proposed a methodology named as SCPA (Segmentation through Connected Pixel Approach). The main objective of this paper is to achieve high accuracy segmentation. SCPA is the two step approach first we find the ROI(Region of Interest) of the particular leaf and in the second approach we find the instance based ROI i.e. for the whole plant, here both the step are performed simultaneously through incorporating one another. Moreover, SCPA is optimized iterative-based method and it is achieved through the approach of connected pixel approach. Connected pixels are the one where the edge of one pixel is connected to the other. When performed on the LSC dataset we achieve the accuracy of 95.10%. This methodology is compared with the various state of art model and existing system by considering the model metric such as SBD, the results shows that SCPA model performs better than the other exiting method also the pictorial comparison of segmented leaf are shown and it shows our model identify it well when compared to others.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123148691","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 : 2019-11-01DOI: 10.1109/ICSSIT46314.2019.8987957
T. S. Kumar, K. Latha
To improve the presentation of B2B (Business to Business) and B2C (Business to Consumer) regarding venture wide Service Oriented Architecture (SOA), we need middleware interoperability particularly with agent building to be specific CORBA (Common Object Request Broker Architecture) proposed by Object Management Group ORB programming named ORBeline. Unmistakable models for client server correspondences have just been created and executed specifically Handle Driven ORB (H-ORB), Forwarding ORB (F-ORB), and the Adaptive ORB (A- ORB). This paper concentrates how to improve the presentation of the interoperability in Adaptive ORB (A-ORB) as for client server collaboration in N-level engineering alongside multithreading condition. We have presented a strategy called linear discriminant interoperable support learning method and how it will in general be used for improving the presentation of interoperability is examined. The outcome gives the framework conduct especially the impact of message measure, between hub deferrals; torpidity and flexibility of solicitation/reaction administration times for the A-ORB engineering are broke down.
{"title":"Interoperability Performance in Adaptive Middleware for Enterprise Business Applications","authors":"T. S. Kumar, K. Latha","doi":"10.1109/ICSSIT46314.2019.8987957","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987957","url":null,"abstract":"To improve the presentation of B2B (Business to Business) and B2C (Business to Consumer) regarding venture wide Service Oriented Architecture (SOA), we need middleware interoperability particularly with agent building to be specific CORBA (Common Object Request Broker Architecture) proposed by Object Management Group ORB programming named ORBeline. Unmistakable models for client server correspondences have just been created and executed specifically Handle Driven ORB (H-ORB), Forwarding ORB (F-ORB), and the Adaptive ORB (A- ORB). This paper concentrates how to improve the presentation of the interoperability in Adaptive ORB (A-ORB) as for client server collaboration in N-level engineering alongside multithreading condition. We have presented a strategy called linear discriminant interoperable support learning method and how it will in general be used for improving the presentation of interoperability is examined. The outcome gives the framework conduct especially the impact of message measure, between hub deferrals; torpidity and flexibility of solicitation/reaction administration times for the A-ORB engineering are broke down.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115641980","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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