Shri Guru Gobind Singhji Institute of Engineering and Technology

About: Shri Guru Gobind Singhji Institute of Engineering and Technology is a based out in . It is known for research contribution in the topics: Feature extraction & PID controller. The organization has 229 authors who have published 325 publications receiving 2609 citations.

Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research

Abstract: Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly affecting the working-age population in the world Recent research has given a better understanding of the requirement in clinical eye care practice to identify better and cheaper ways of identification, management, diagnosis and treatment of retinal disease The importance of diabetic retinopathy screening programs and difficulty in achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost needs attention to develop computer-aided diagnosis tool Computer-aided disease diagnosis in retinal image analysis could ease mass screening of populations with diabetes mellitus and help clinicians in utilizing their time more efficiently The recent technological advances in computing power, communication systems, and machine learning techniques provide opportunities to the biomedical engineers and computer scientists to meet the requirements of clinical practice Diverse and representative retinal image sets are essential for developing and testing digital screening programs and the automated algorithms at their core To the best of our knowledge, IDRiD (Indian Diabetic Retinopathy Image Dataset), is the first database representative of an Indian population It constitutes typical diabetic retinopathy lesions and normal retinal structures annotated at a pixel level The dataset provides information on the disease severity of diabetic retinopathy, and diabetic macular edema for each image This makes it perfect for development and evaluation of image analysis algorithms for early detection of diabetic retinopathy

Intrusion Detection System Using Bagging Ensemble Method of Machine Learning

Abstract: Intrusion detection system is widely used to protect and reduce damage to information system. It protects virtual and physical computer networks against threats and vulnerabilities. Presently, machine learning techniques are widely extended to implement effective intrusion detection system. Neural network, statistical models, rule learning, and ensemble methods are some of the kinds of machine learning methods for intrusion detection. Among them, ensemble methods of machine learning are known for good performance in learning process. Investigation of appropriate ensemble method is essential for building effective intrusion detection system. In this paper, a novel intrusion detection technique based on ensemble method of machine learning is proposed. The Bagging method of ensemble with REPTree as base class is used to implement intrusion detection system. The relevant features from NSL_KDD dataset are selected to improve the classification accuracy and reduce the false positive rate. The performance of proposed ensemble method is evaluated in term of classification accuracy, model building time and False Positives. The experimental results show that the Bagging ensemble with REPTree base class exhibits highest classification accuracy. One advantage of using Bagging method is that it takes less time to build the model. The proposed ensemble method provides competitively low false positives compared with other machine learning techniques.

Decentralized PI/PID controllers based on gain and phase margin specifications for TITO processes.

Abstract: In this paper, a decentralized PI/PID controller design method based on gain and phase margin specifications for two-input-two-output (TITO) interactive processes is proposed. The decouplers are designed for systems to minimize the interaction between the loops, and the first order plus dead time (FOPDT) model is achieved for each decoupled subsystem based on the frequency response fitting. An independent PI/PID controller is designed for each reduced order decoupled subsystem to obtain the desired gain and phase margins, and the performance is verified on the original interactive system to show the effectiveness of the proposed design method for the general class of TITO systems. Simulation examples are incorporated to validate the usefulness of the presented algorithm. An experimentation is performed on the Level-Temperature reactor process to show the practical applicability of the proposed method for the interactive system.