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Switched Reluctance Motor (SRM) is one of the best alternative motor drives for induction and synchronous drives in present trends. However, the SRM can able to replace those synchronous and inductance machine by using effective controller for many applications. Apart from many controllers, Direct Torque Controller (DTC) has received much attention from researchers in these days due to its high superiority characteristics over other controllers. Moreover, compare to Proportional and Integral (PI) controller a Fuzzy controller can provide effective support to DTC during intermittent changes of speed and torque. Hence, Fuzzy controller based DTC has been implemented in this paper for novel configuration of converter to drive SRM. Generally more number of switches leads to more cost and poor performance. Therefore, a novel configuration of converter has been proposed in this paper for DTC of SRM. For analysis of system, the proposed method has been compared with vector based controller in this paper. The extensive results are presented to validate the proposed method for both the steady state and transient periods.

Plant leaf diseases are challenging to categorize due to the complexity of the pattern variations and the high degrees of inter‐class similarity. Plant ailments harm food quality and production. To ensure the quality and quantity of harvests, it is essential to protect plants from disease. Detection of diseases at an early stage is the main and the most complex task for farmers due to common morphological properties like colour, shape, texture, and edges. In this study, a Hybrid Deep Learning model named Hybrid‐Convolutional Support Machine (H‐CSM) based on 'Support Vector Machine (SVM)', 'Convolutional Neural Network (CNN)' and 'Convolutional Block Attention Module (CBAM)' is proposed for the early diagnosis and classification of leaf diseases in plants leaf. The suggested model can initially identify different plant leaf illnesses, although it is not constrained to these. A database of pictures of plant leaves is used to test the suggested method based on different evaluation parameters. The results were highly promising, with an accuracy of up to 98.72% which has been increased by applying better learning methods. Farmers can quickly identify 36 common diseases with a little instruction for 14 plant categories, enabling them to take prompt preventive measures using the proposed method. [ABSTRACT FROM AUTHOR]

This article discusses a case of erythema elevatum diutinum (EED) associated with peripheral ulcerative keratitis (PUK) in a 61-year-old Chinese man. The patient presented with painful skin lesions on various parts of his body, which worsened in cold weather. He also experienced recurrent ocular symptoms, including hyperemia and blurred vision. The diagnosis of EED with PUK was established based on clinical and histopathological features. Erythema elevatum diutinum is a rare condition characterized by neutrophilic infiltration in the skin and other organs. [Extracted from the article]