Pub Date : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878810
B. Priya, D. Saraswathi, R. Lakshmi
Liver cancer is the leading causes for death globally. Segmentation of liver from liver CT images is very crucial to evaluate the diagnostic pattern of liver disease and is claimed to be a challenging task owing to the complexity of the liver shapes in different slices of CT. In this work, Chan vese level set segmentation algorithm coupled with contrast driven elastic optimization model is used to achieve good segmentation accuracy. Global contrast approach has been implemented in bottom-up saliency detection in curvature optimization. Saliency map and weighted coefficient technique is measured using mean shift filter which improves the accuracy of saliency detection. The proposed segmentation technique has accurate results compared to the existing segmentation technique.
{"title":"Liver Segmentation using Weighted Contrast based Chan-Vese Method","authors":"B. Priya, D. Saraswathi, R. Lakshmi","doi":"10.1109/ICSCAN.2019.8878810","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878810","url":null,"abstract":"Liver cancer is the leading causes for death globally. Segmentation of liver from liver CT images is very crucial to evaluate the diagnostic pattern of liver disease and is claimed to be a challenging task owing to the complexity of the liver shapes in different slices of CT. In this work, Chan vese level set segmentation algorithm coupled with contrast driven elastic optimization model is used to achieve good segmentation accuracy. Global contrast approach has been implemented in bottom-up saliency detection in curvature optimization. Saliency map and weighted coefficient technique is measured using mean shift filter which improves the accuracy of saliency detection. The proposed segmentation technique has accurate results compared to the existing segmentation technique.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128610190","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878837
M. R. Raihan, R. Hasan, F. Arifin, S. Nashif, M. R. Haider
This paper illustrates the design and implementation of a robotic vehicle that can be controlled from all directions by using the hand movement with a wireless camera that is installed at the top of the vehicle to broadcast wireless live streaming to the user end. Therefore, it removes the hassle of gesture recognition and image processing technique or even the use of switches or joysticks to control the movement of a robot in different directions and provides a wireless surveillance facility to the user. There are mainly three parts of this propose system; the transmitter, the receiver and the live streaming section. The transmitter section detects the movement of the hand in x and y axis by using an accelerometer sensor, processed by Arduino Uno, and transmits those signals to the receiver section by using RF module. The receiver section receives those signals via RF module, decoded by the Arduino Uno, and the motor driver, which is connected to the Arduino Uno and moves the robotic vehicle in all directions according to the decoded signals. Finally, in order to perform live streaming operation - a common network (Wi-Fi), a laptop, Raspberry pi, and two software, namely Virtual Network Computing (VNC) and Foundation Internet Nouvelle Generation (FING) are used to ensure the surveillance feature for the user.
{"title":"Design and Implementation of a Hand Movement Controlled Robotic Vehicle with Wireless Live Streaming Feature","authors":"M. R. Raihan, R. Hasan, F. Arifin, S. Nashif, M. R. Haider","doi":"10.1109/ICSCAN.2019.8878837","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878837","url":null,"abstract":"This paper illustrates the design and implementation of a robotic vehicle that can be controlled from all directions by using the hand movement with a wireless camera that is installed at the top of the vehicle to broadcast wireless live streaming to the user end. Therefore, it removes the hassle of gesture recognition and image processing technique or even the use of switches or joysticks to control the movement of a robot in different directions and provides a wireless surveillance facility to the user. There are mainly three parts of this propose system; the transmitter, the receiver and the live streaming section. The transmitter section detects the movement of the hand in x and y axis by using an accelerometer sensor, processed by Arduino Uno, and transmits those signals to the receiver section by using RF module. The receiver section receives those signals via RF module, decoded by the Arduino Uno, and the motor driver, which is connected to the Arduino Uno and moves the robotic vehicle in all directions according to the decoded signals. Finally, in order to perform live streaming operation - a common network (Wi-Fi), a laptop, Raspberry pi, and two software, namely Virtual Network Computing (VNC) and Foundation Internet Nouvelle Generation (FING) are used to ensure the surveillance feature for the user.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128747774","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878819
I. Sheeba, T. Jayanthy
SoftWear antenna is an arrangement of Wearable and textile antenna properties which is flexible in two dimensions. Softwear antenna serves as element of clothes and it should not affect the wearer by means of any radiation persevere in it. It is deliberate in such a way to perform in close propinquity to human body antenna substrate made of fabrics. This paper gives evidences about those for the design and development of softwear textile antenna. Nowadays wireless technology has challenges to construct a device with compact size, lightweight, low profile and ease in its fabrication. A right choice for such type of antenna is a softwear microstrip patch antenna. This type of antenna uses textile substrate. In this paper various cotton substrates and polyester substrate have been compared with two feeding Techniques namely line feed, co-axial feed. The performance of the softwear antenna shows that polyester substrate gives good results when compared with cotton as a substrate in both feeding techniques Basic rectangular patch have been considered. The working frequency of this antenna is 2.45GHz.It is well-known to use in wireless body area network (WBAN).Wireless Body centric communication is also possible in this Type which uses the frequency of Industrial, Scientific, Medicine meant by ISM band(2.45 GHz).This softwear antenna using polyester substrate was fabricated and its S11 and VSWR was measured using network analyzer.
{"title":"Analysis and implementation of Flexible Microstrip Antenna of soft substrates with different Feeding Techniques for ISM Band","authors":"I. Sheeba, T. Jayanthy","doi":"10.1109/ICSCAN.2019.8878819","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878819","url":null,"abstract":"SoftWear antenna is an arrangement of Wearable and textile antenna properties which is flexible in two dimensions. Softwear antenna serves as element of clothes and it should not affect the wearer by means of any radiation persevere in it. It is deliberate in such a way to perform in close propinquity to human body antenna substrate made of fabrics. This paper gives evidences about those for the design and development of softwear textile antenna. Nowadays wireless technology has challenges to construct a device with compact size, lightweight, low profile and ease in its fabrication. A right choice for such type of antenna is a softwear microstrip patch antenna. This type of antenna uses textile substrate. In this paper various cotton substrates and polyester substrate have been compared with two feeding Techniques namely line feed, co-axial feed. The performance of the softwear antenna shows that polyester substrate gives good results when compared with cotton as a substrate in both feeding techniques Basic rectangular patch have been considered. The working frequency of this antenna is 2.45GHz.It is well-known to use in wireless body area network (WBAN).Wireless Body centric communication is also possible in this Type which uses the frequency of Industrial, Scientific, Medicine meant by ISM band(2.45 GHz).This softwear antenna using polyester substrate was fabricated and its S11 and VSWR was measured using network analyzer.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115970476","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878736
S. Jayalakshmi, P. Hemalatha
A Water disease has been a biggest problem over the last few years. Water pollution disease is the largest worldwide death full disease. To overcome this difficulty, watching of water in real time goodness by using IOT has been proposed. The main aim of this paper is to the identify quality of water using internet of things. Here executing, system for monitoring the water quality through sensors – TDS meter, DC motor, LM35 temperature sensor, GSM. The Microcontroller Avenue the value which is monitor by using of sensors. The accessed data are collected in the centralized database server. If the water quality is below the TDS meter values, alert Message is sent to land owners using GSM. The atmosphere can have adaptable good water.
{"title":"Measuring the Water Quality in Bore well Using Sensors and Alerting System","authors":"S. Jayalakshmi, P. Hemalatha","doi":"10.1109/ICSCAN.2019.8878736","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878736","url":null,"abstract":"A Water disease has been a biggest problem over the last few years. Water pollution disease is the largest worldwide death full disease. To overcome this difficulty, watching of water in real time goodness by using IOT has been proposed. The main aim of this paper is to the identify quality of water using internet of things. Here executing, system for monitoring the water quality through sensors – TDS meter, DC motor, LM35 temperature sensor, GSM. The Microcontroller Avenue the value which is monitor by using of sensors. The accessed data are collected in the centralized database server. If the water quality is below the TDS meter values, alert Message is sent to land owners using GSM. The atmosphere can have adaptable good water.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"643 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116089033","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878707
M. Ramkumar, S. S. Catharin, D. Nivetha
The population change towards an ageing people is introducing major impact and drastic challenge to our society. We therefore need to identify ways to assist people to stay independently especially kids and elders.The Ambient Assist Living (AAL) with the advantage of Ambient intelligence becomes a field to examine new expertise to provide assistance and also in healthcare and entertainment and rehabilitation to people with impairment AmI vision in Educating the kids. The paper provides a review of research related and skills of AAL using AmI in the caretaking of the kids.
{"title":"Survey of Cognitive Assisted Living Ambient System Using Ambient intelligence as a Companion","authors":"M. Ramkumar, S. S. Catharin, D. Nivetha","doi":"10.1109/ICSCAN.2019.8878707","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878707","url":null,"abstract":"The population change towards an ageing people is introducing major impact and drastic challenge to our society. We therefore need to identify ways to assist people to stay independently especially kids and elders.The Ambient Assist Living (AAL) with the advantage of Ambient intelligence becomes a field to examine new expertise to provide assistance and also in healthcare and entertainment and rehabilitation to people with impairment AmI vision in Educating the kids. The paper provides a review of research related and skills of AAL using AmI in the caretaking of the kids.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203149","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878725
A. Sivaranjani, S. Senthilrani, B. Ashokumar, A. Murugan
Since there is a great demand for the quality of agricultural products in the global market. It is very important to improve the quality and standards of agricultural products to competent in the business world. Furthermore cashew is a significant produce in India as well as it takes the major part in the global export market for cashew nut. But the most of the methods proposed for grading system is wouldn’t reach the better accuracy. Hence to improve the performance, we proposed the optimized cashew nut grading using Deep CNN and Data augmentation. This CashNet-15 work consists of totally 15 layers of CNN. Here we used 8 convolution layer and 4 Max-poolong layer for feature extraction and remaining are 1 fully connected layer, 1activation function and 1dropout layer. To attain the better performance we used data augmentation methods. To optimize the network, hyperparameter like SGD with Beta momentum and Leaky rectified linear unit was used to reduce the loss function and to obtain the non-linear property.
{"title":"CashNet-15:An Optimized Cashew Nut Grading Using Deep CNN and Data Augmentation","authors":"A. Sivaranjani, S. Senthilrani, B. Ashokumar, A. Murugan","doi":"10.1109/ICSCAN.2019.8878725","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878725","url":null,"abstract":"Since there is a great demand for the quality of agricultural products in the global market. It is very important to improve the quality and standards of agricultural products to competent in the business world. Furthermore cashew is a significant produce in India as well as it takes the major part in the global export market for cashew nut. But the most of the methods proposed for grading system is wouldn’t reach the better accuracy. Hence to improve the performance, we proposed the optimized cashew nut grading using Deep CNN and Data augmentation. This CashNet-15 work consists of totally 15 layers of CNN. Here we used 8 convolution layer and 4 Max-poolong layer for feature extraction and remaining are 1 fully connected layer, 1activation function and 1dropout layer. To attain the better performance we used data augmentation methods. To optimize the network, hyperparameter like SGD with Beta momentum and Leaky rectified linear unit was used to reduce the loss function and to obtain the non-linear property.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"596 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491642","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878830
A. Meiappane, K. Logavignesh, R. Prasanna, T. Sakthivel
The Main aim of this project D’WORLD is to spare existences of individuals by giving blood. A Blood donation seek App utilizing Android is grown with the goal that clients can see the data of close-by Donors. Our task is created on two point of view for example patient and benefactor. We will give validation to the client, for example, enrollment and login for new client and existing client. An individual is permitted to give just 6 pints of blood. One 16 ounces of blood can set aside to 33 lives. The quantity of blood giver is less when contrasted and differentnations. There are number of e-blood donation places for compelling correspondence among themselves and medical offices. None of the e-blood donationsystem focus offers the quick contact among recipient and them. This is the genuine drawback of the present application. Here we propose another and productive approach to defeat such existing system. Blood donation application supplier records the giver in the city/territory. When the giver gives the blood it will naturally evacuate the contributor detail for next three months. Our application searches for the nearest donor accessible, in a flash by following their present area using GPS by utilizing Haversine MathematicalAlgorithm. It additionally confirms with the Department of Health and Welfare to guarantee the benefactor medical case history. Our application decreases the opportunity to a more noteworthy degree that is searching for the blood benefactor of the required blood gather through the specific area. In this way our application gives the required data (results) in less time and furthermore helps in faster basic leadership. The primary reason for our task is to interconnect all the blood giving benefactors into a solitary system, approving, putting away their information and data of blood and strength of everyperson.
D 'WORLD项目的主要目的是通过献血来挽救个人的生命。一个基于Android的献血搜索应用程序的目标是让客户可以看到附近献血者的数据。我们的任务是建立在两个角度，例如病人和捐助者。我们将对客户端进行验证，例如，新客户端和现有客户端的注册和登录。每个人只能献血6品脱。一盎司16盎司的血可以挽救33条生命。相比之下，献血者的数量较少。有许多电子献血地点，供他们与医疗机构之间进行强制性通信。电子献血系统的重点都没有提供接受者和他们之间的快速联系。这是目前应用程序的真正缺点。在这里，我们提出了另一种有效的方法来击败这种现有制度。献血申请供应商记录城市/地区的献血者。献血者献血后，在接下来的三个月里，献血者会很自然地离开献血者。我们的应用程序搜索最近的捐助者可访问，在一瞬间通过使用GPS利用哈弗辛数学算法跟踪他们目前的区域。它还与卫生和福利部门确认，以保证捐助者的医疗病史。我们的应用程序在更显著的程度上减少了通过特定区域寻找所需血液集合的血液捐助者的机会。通过这种方式，我们的应用程序在更短的时间内提供所需的数据(结果)，并进一步帮助更快的基本领导。我们任务的主要原因是将所有的献血者连接成一个单独的系统，批准，存储他们的血液和每个人的力量的信息和数据。
{"title":"D’WORLD: Blood Donation App Using Android","authors":"A. Meiappane, K. Logavignesh, R. Prasanna, T. Sakthivel","doi":"10.1109/ICSCAN.2019.8878830","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878830","url":null,"abstract":"The Main aim of this project D’WORLD is to spare existences of individuals by giving blood. A Blood donation seek App utilizing Android is grown with the goal that clients can see the data of close-by Donors. Our task is created on two point of view for example patient and benefactor. We will give validation to the client, for example, enrollment and login for new client and existing client. An individual is permitted to give just 6 pints of blood. One 16 ounces of blood can set aside to 33 lives. The quantity of blood giver is less when contrasted and differentnations. There are number of e-blood donation places for compelling correspondence among themselves and medical offices. None of the e-blood donationsystem focus offers the quick contact among recipient and them. This is the genuine drawback of the present application. Here we propose another and productive approach to defeat such existing system. Blood donation application supplier records the giver in the city/territory. When the giver gives the blood it will naturally evacuate the contributor detail for next three months. Our application searches for the nearest donor accessible, in a flash by following their present area using GPS by utilizing Haversine MathematicalAlgorithm. It additionally confirms with the Department of Health and Welfare to guarantee the benefactor medical case history. Our application decreases the opportunity to a more noteworthy degree that is searching for the blood benefactor of the required blood gather through the specific area. In this way our application gives the required data (results) in less time and furthermore helps in faster basic leadership. The primary reason for our task is to interconnect all the blood giving benefactors into a solitary system, approving, putting away their information and data of blood and strength of everyperson.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114597916","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}
To review and understand the state-of-the-art sensors, methods, technologies, and challenges in monitoring the driver safety. Statistics indicate that an ever-increasing number and diversity of accidents occur on roads, owing to reasons ranging from drowsiness to fatigue and inattention, as well as the mental and physical state of the driver, who could be drunk or cognitively distracted. In recent times, automobile industries have been developing new technologies like the Advanced Driver Assistance System (ADAS) to avoid death, injuries, or economic losses during tragic accidents. Most of the ADAS systems developed, however, rely only on a few measures to predict the driver’s mental and physical state, and lack accuracy as well. Therefore, it is essential to understand the technologies at hand so as to develop an efficient ADAS that can predict the driver’s safety states. A detailed analysis on different driver states suggests a need for more research in a real-time environment, compared to the research done in a simulated one, it is imperative to focus on a near real-time simulated environment. Further, using more than one measure to identify each of the driver’s states, through fusion or merging, would help develop a more accurate Driver Safety system. Based on the review, the different driver states can be monitored efficiently that calls for an intelligent and time-conscious data processing algorithm and uses data from non-intrusive sensors, combined with different measures.
{"title":"Analysis of Different Measures to Detect Driver States: A Review","authors":"Suganiya Murugan, Jerritta Selvaraj, Arun Sahayadhas","doi":"10.1109/ICSCAN.2019.8878844","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878844","url":null,"abstract":"To review and understand the state-of-the-art sensors, methods, technologies, and challenges in monitoring the driver safety. Statistics indicate that an ever-increasing number and diversity of accidents occur on roads, owing to reasons ranging from drowsiness to fatigue and inattention, as well as the mental and physical state of the driver, who could be drunk or cognitively distracted. In recent times, automobile industries have been developing new technologies like the Advanced Driver Assistance System (ADAS) to avoid death, injuries, or economic losses during tragic accidents. Most of the ADAS systems developed, however, rely only on a few measures to predict the driver’s mental and physical state, and lack accuracy as well. Therefore, it is essential to understand the technologies at hand so as to develop an efficient ADAS that can predict the driver’s safety states. A detailed analysis on different driver states suggests a need for more research in a real-time environment, compared to the research done in a simulated one, it is imperative to focus on a near real-time simulated environment. Further, using more than one measure to identify each of the driver’s states, through fusion or merging, would help develop a more accurate Driver Safety system. Based on the review, the different driver states can be monitored efficiently that calls for an intelligent and time-conscious data processing algorithm and uses data from non-intrusive sensors, combined with different measures.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115395067","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878704
A. Punitha, S. Vinodha, R. Karthika, R. Deepika
Nowadays security has become the most important feature in any field. We make use of the Intrusion Detection System (IDS) as it gathers information related to activities that violate security policies. An intrusion detection system (IDS) could be a device or software system application that monitors a network or systems for malicious activity or policy violations. Any malicious activity or violation is usually rumored either to associate administrator or collected centrally employing a security data and event management (SIEM) system. This system first uses the feature ranking on basis of information gain and correlation by ANN classifier. These reduced options are then fed to a feed forward neural network for coaching and testing on KDD99 dataset. This Intrusion detection system have curse of dimensionality which tends to increase time complexity and decrease resource utilization and number of comparisons are high. In order to overcome this we propose the system, which make use of the other feature ranking technique called genetic algorithm. Feature reduction is then done by combining ranks obtained from each data gain and correlation employing a novel approach to spot helpful and useless options. The input is feature set and produce the best output set using genetic algorithm. This system will reduce time complexity, only limited number of comparisons are done and also the performance rate is high in terms of classification accuracy.
{"title":"A Feature Reduction Intrusion Detection System using Genetic Algorithm","authors":"A. Punitha, S. Vinodha, R. Karthika, R. Deepika","doi":"10.1109/ICSCAN.2019.8878704","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878704","url":null,"abstract":"Nowadays security has become the most important feature in any field. We make use of the Intrusion Detection System (IDS) as it gathers information related to activities that violate security policies. An intrusion detection system (IDS) could be a device or software system application that monitors a network or systems for malicious activity or policy violations. Any malicious activity or violation is usually rumored either to associate administrator or collected centrally employing a security data and event management (SIEM) system. This system first uses the feature ranking on basis of information gain and correlation by ANN classifier. These reduced options are then fed to a feed forward neural network for coaching and testing on KDD99 dataset. This Intrusion detection system have curse of dimensionality which tends to increase time complexity and decrease resource utilization and number of comparisons are high. In order to overcome this we propose the system, which make use of the other feature ranking technique called genetic algorithm. Feature reduction is then done by combining ranks obtained from each data gain and correlation employing a novel approach to spot helpful and useless options. The input is feature set and produce the best output set using genetic algorithm. This system will reduce time complexity, only limited number of comparisons are done and also the performance rate is high in terms of classification accuracy.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114731430","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878743
Papiya Bala, S. Hemamalini
Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.
{"title":"Efficient Query Processing With Logical Indexing For Spatial and Temporal Data in Geospatial Environment","authors":"Papiya Bala, S. Hemamalini","doi":"10.1109/ICSCAN.2019.8878743","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878743","url":null,"abstract":"Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123420336","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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