A 2unit cold standby system with exponential failure time and general repair time distribution is... more A 2unit cold standby system with exponential failure time and general repair time distribution is considered . A quantity of great relevance in the maintenance of equipments in modern business and industrial systems , systems , vzt., profit that system will earn per unit time , has been obtained analytically under unidiscounted and discounted cost structure by superimposing Howard’s reward structure on the semiMarkov generated by the system. Steady – state profit has also been studied for its behaviour for a special case.
Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive i... more Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive information about networks. The IDS must have the ability to take care of large and real-time data. The predicted rate must be high based on the available attribute. This work deals with a real intrusion detection problem, by its behavior. In this paper, we developed a hybrid model, which can detect intrusion by its action. We used an NSL-KDD data set, the multiclass problem and binary problems are 25% tested. This model can be used to guess the availability of intrusion, able to determine the scope of intrusions based on the transaction of data in the network; training requires optimal features of a network transaction. The accuracy of the model is better for both binary class for the multiclass in NSL-KDD data set. The complication of false data alarm rates is the most significant challenge in the IDS system, and it may be the low false rate or high false rate. Proposed work also addresses this problem. The first step that data will be filtered by Vote algorithm, the Information Gain will get associated with a base learner, to choose the necessary features, which directly affects the accuracy of the model. It uses the following classifier: Ran-domTree, REPTree, RandomForrest AdaBoostM1, Meta Pagging, DesicionStump, J48, LMT, Bagging, and Naive Bayes. On the based on the proposed model, it is observed as low false rate, high accuracy.
Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive i... more Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive information about networks. The IDS must have the ability to take care of large and real-time data. The predicted rate must be high based on the available attribute. This work deals with a real intrusion detection problem, by its behavior. In this paper, we developed a hybrid model, which can detect intrusion by its action. We used an NSL-KDD data set, the multiclass problem and binary problems are 25% tested. This model can be used to guess the availability of intrusion, able to determine the scope of intrusions based on the transaction of data in the network; training requires optimal features of a network transaction. The accuracy of the model is better for both binary class for the multiclass in NSL-KDD data set. The complication of false data alarm rates is the most significant challenge in the IDS system, and it may be the low false rate or high false rate. Proposed work also addresses this problem. The first step that data will be filtered by Vote algorithm, the Information Gain will get associated with a base learner, to choose the necessary features, which directly affects the accuracy of the model. It uses the following classifier: Ran-domTree, REPTree, RandomForrest AdaBoostM1, Meta Pagging, DesicionStump, J48, LMT, Bagging, and Naive Bayes. On the based on the proposed model, it is observed as low false rate, high accuracy.
The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its ac... more The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its acrylamide grafted copolymer as flocculants was assessed for the first time for removal of various types of dyes from model textile wastewater containing azo, basic, and reactive dyes. Acrylamide grafted T. indica mucilage (Tam-g-PAM) was obtained by ceric ion initiated polymerization technique. A series of contact time experiments were conducted to assess the system variables such as concentrations of mucilage and dyes and pH. These flocculants reduce the dye concentration by flocculation and settling. The grafted copolymer, Tam-g-PAM showed better results for dye removal. The optimal flocculant concentration, which was required to effect flocculation, was independent of dye concentration within the range examined. Both the flocculants performed better for removal of azo dyes than for reactive and basic dyes.
The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its ac... more The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its acrylamide grafted copolymer as flocculants was assessed for the first time for removal of various types of dyes from model textile wastewater containing azo, basic, and reactive dyes. Acrylamide grafted T. indica mucilage (Tam-g-PAM) was obtained by ceric ion initiated polymerization technique. A series of contact time experiments were conducted to assess the system variables such as concentrations of mucilage and dyes and pH. These flocculants reduce the dye concentration by flocculation and settling. The grafted copolymer, Tam-g-PAM showed better results for dye removal. The optimal flocculant concentration, which was required to effect flocculation, was independent of dye concentration within the range examined. Both the flocculants performed better for removal of azo dyes than for reactive and basic dyes.
Removal of dyes by biodegradable flocculants: A lab scale investigation
Separation science and …, 2006
In the present communication, experiments were conducted to investigate the efficiency of mucilag... more In the present communication, experiments were conducted to investigate the efficiency of mucilage isolated from fruits of Coccinia indica for the treatment of simulated textile wastewater samples containing direct dyes, direct fast scarlet (DFS) and direct fast ...
A 2unit cold standby system with exponential failure time and general repair time distribution is... more A 2unit cold standby system with exponential failure time and general repair time distribution is considered . A quantity of great relevance in the maintenance of equipments in modern business and industrial systems , systems , vzt., profit that system will earn per unit time , has been obtained analytically under unidiscounted and discounted cost structure by superimposing Howard’s reward structure on the semiMarkov generated by the system. Steady – state profit has also been studied for its behaviour for a special case.
Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive i... more Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive information about networks. The IDS must have the ability to take care of large and real-time data. The predicted rate must be high based on the available attribute. This work deals with a real intrusion detection problem, by its behavior. In this paper, we developed a hybrid model, which can detect intrusion by its action. We used an NSL-KDD data set, the multiclass problem and binary problems are 25% tested. This model can be used to guess the availability of intrusion, able to determine the scope of intrusions based on the transaction of data in the network; training requires optimal features of a network transaction. The accuracy of the model is better for both binary class for the multiclass in NSL-KDD data set. The complication of false data alarm rates is the most significant challenge in the IDS system, and it may be the low false rate or high false rate. Proposed work also addresses this problem. The first step that data will be filtered by Vote algorithm, the Information Gain will get associated with a base learner, to choose the necessary features, which directly affects the accuracy of the model. It uses the following classifier: Ran-domTree, REPTree, RandomForrest AdaBoostM1, Meta Pagging, DesicionStump, J48, LMT, Bagging, and Naive Bayes. On the based on the proposed model, it is observed as low false rate, high accuracy.
Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive i... more Intrusion detection system (IDS) is essential for the network; the intruder can steal sensitive information about networks. The IDS must have the ability to take care of large and real-time data. The predicted rate must be high based on the available attribute. This work deals with a real intrusion detection problem, by its behavior. In this paper, we developed a hybrid model, which can detect intrusion by its action. We used an NSL-KDD data set, the multiclass problem and binary problems are 25% tested. This model can be used to guess the availability of intrusion, able to determine the scope of intrusions based on the transaction of data in the network; training requires optimal features of a network transaction. The accuracy of the model is better for both binary class for the multiclass in NSL-KDD data set. The complication of false data alarm rates is the most significant challenge in the IDS system, and it may be the low false rate or high false rate. Proposed work also addresses this problem. The first step that data will be filtered by Vote algorithm, the Information Gain will get associated with a base learner, to choose the necessary features, which directly affects the accuracy of the model. It uses the following classifier: Ran-domTree, REPTree, RandomForrest AdaBoostM1, Meta Pagging, DesicionStump, J48, LMT, Bagging, and Naive Bayes. On the based on the proposed model, it is observed as low false rate, high accuracy.
The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its ac... more The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its acrylamide grafted copolymer as flocculants was assessed for the first time for removal of various types of dyes from model textile wastewater containing azo, basic, and reactive dyes. Acrylamide grafted T. indica mucilage (Tam-g-PAM) was obtained by ceric ion initiated polymerization technique. A series of contact time experiments were conducted to assess the system variables such as concentrations of mucilage and dyes and pH. These flocculants reduce the dye concentration by flocculation and settling. The grafted copolymer, Tam-g-PAM showed better results for dye removal. The optimal flocculant concentration, which was required to effect flocculation, was independent of dye concentration within the range examined. Both the flocculants performed better for removal of azo dyes than for reactive and basic dyes.
The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its ac... more The application of Tamarindus indica seed mucilage (Tam), a food grade polysaccharide, and its acrylamide grafted copolymer as flocculants was assessed for the first time for removal of various types of dyes from model textile wastewater containing azo, basic, and reactive dyes. Acrylamide grafted T. indica mucilage (Tam-g-PAM) was obtained by ceric ion initiated polymerization technique. A series of contact time experiments were conducted to assess the system variables such as concentrations of mucilage and dyes and pH. These flocculants reduce the dye concentration by flocculation and settling. The grafted copolymer, Tam-g-PAM showed better results for dye removal. The optimal flocculant concentration, which was required to effect flocculation, was independent of dye concentration within the range examined. Both the flocculants performed better for removal of azo dyes than for reactive and basic dyes.
Removal of dyes by biodegradable flocculants: A lab scale investigation
Separation science and …, 2006
In the present communication, experiments were conducted to investigate the efficiency of mucilag... more In the present communication, experiments were conducted to investigate the efficiency of mucilage isolated from fruits of Coccinia indica for the treatment of simulated textile wastewater samples containing direct dyes, direct fast scarlet (DFS) and direct fast ...
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