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An automatic optic disc localization in retinal images used to screen eye related diseases like diabetic retinopathy. Many techniques are available to detect Optic Disc (OD) in high-resolution retinal images. Unfortunately, there are no efficient methods available to detect OD in low-resolution retinal images. The objective of this research paper is to develop an automated method for localization of Optic Disc in low resolution retinal images. This paper proposes a modified directional matched filter parameters of the retinal blood vessels to localize the center of optic disc. The proposed method was implemented in MATLAB and evaluated both normal and abnormal low resolution retinal images using the subset of Optic Nerve Head Segmentation Dataset (ONHSD) and the success percentage was found to be an average of 96.96% with 23seconds

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The primary objective of this research involves designing and fabrication of a wireless controlled five-fingered anthropomorphic dexterous robotic arm. Multiple joints are provided in the arms and fingers to mimic a realistic human-like motion. The mechanism is designed with the prime aim of increasing its efficiency in terms of performance, energy consumption and economy while reducing the total system weight. The design is followed up by the fabrication of mechanical sections of the arm and the assembly of the complete system. Finally, interfacing of the robotic arm with an external glove that can be worn by the user to control the arm motion is done through utilization of a wireless medium. The kinematics of the system, the overall mechanism for actuation and spring design for restoring the elements to their original positions are discussed in the paper.

The world is moving towards miniaturization of all systems to conserve space and energy. In this experimental investigation, small holes of 0.5 mm diameter were drilled in Ti-6Al-4V plates of thickness 0.4 mm. L18 orthogonal array, the signal to noise (S/N) ratio, and the analysis of variation (ANOVA) were employed to analyze the effect and contribution of process parameters, namely, spindle speed, feed rate, and the use of different lubricants. Drilling experiments were performed in dry, air cooled and wet lubrication (palm oil). Tool wear and hole circularity were evaluated for each machine setting using a Scanning Electron Microscope (SEM). Optimization was performed using Taguchi method and Grey relational analysis. The outcome of this study showed that palm oil can be used as an effective lubricant in order to minimize tool wear and circularity error. Multi performance optimization revealed that feed rate and lubrication were the most significant parameters in controlling circularity and tool wear.