Degumming rice bran oil using phospholipase‐A
            <sub>1</sub>

Manjula, S.; Jose, Anju; Divakar, Soundar; Subramanian, R.

doi:10.1002/ejlt.201000376

Cited by 31 publications

(21 citation statements)

References 19 publications

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“…Chi-Square and information gain feature selection mechanisms for selection the important attributes is proposed by (Manjula et al, 2011). Navies Bayes, C4.5, SVM, KNN, K-means and Fuzzy c-means clustering are developed for efficient detection of the selected attributes to detect DDoS attacks.…”

Section: Detection Using Data Mining Partitioning Clustering Methodsmentioning

confidence: 99%

Review Clustering Mechanisms of Distributed Denial of Service Attacks

Bhaya¹,

Manaa²

2014

Journal of Computer Science

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Distributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network security is commonly used to detect and prevent new DDoS attacks. Data mining methods can be used in intrusion detection systems, such as clustering k-means, artificial neural network. Since the clustering methods can be used to aggregate similar objects, they can detect DDoS attacks to reduce false-positive rates. In this study, a review of DDoS attacks using clustering data mining techniques is presented. A review illustrates the most recent, state-of-the art science for clustering techniques to detect DDoS attacks.

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Section: Detection Using Data Mining Partitioning Clustering Methodsmentioning

confidence: 99%

Review Clustering Mechanisms of Distributed Denial of Service Attacks

Bhaya¹,

Manaa²

2014

Journal of Computer Science

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“…In the enzymatic oil-degumming process, phospholipases of type A and type C are commonly used (Jiang et al 2011). Phospholipase A (PLA) can cause the production of lysophospholipids, which would be removed with water during the separation stage of the degumming process (Manjula et al 2011). However, the enzymatic degumming processes using PLA have in common that they hydrolyze the fatty acid glycerol bond of phospholipids.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the degumming process for camellia oil by the use of phospholipase C in pilot-scale system

et al. 2014

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In present study, phospholipase C (PLC) was applied in camellia oil degumming and the response surface method (RSM) was used to determine the optimum degumming conditions (reaction time, reaction temperature and enzyme dosage) for this enzyme. The optimum conditions for the minimum residual phosphorus content (15.14 mg/kg) and maximum yield of camellia oil (98.2 %) were obtained at reaction temperature 53ºC, reaction time 2.2 h, PLC dosage 400 mg/kg and pH 5.4. The application of phospholipase A (PLA) -assisted degumming process could further reduce the residual phosphorus content of camellia oil (6.84 mg/kg) to make the oil suitable for physical refining while maintaining the maximal oil yield (98.2 %). These results indicate that PLC degumming process in combination with PLA treatment can be a commercially viable alternative for traditional degumming process. Study on the quality changes of degummed oils showed that the oxidative stability of camellia oil was slightly deceased after the enzymatic treatment, thus more attention should be paid to the oxidative stability in the further application.

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“…The development of the EnzyMax process initiated numerous research activities on enzymatic degumming. The process was further developed for different oils [6,7].…”

Section: Introductionmentioning

confidence: 99%