India has again successfully launched a 5000 km range Agni-5 missile from a mobile launcher. Agni-5 can carry a payload of upto 1.3 ton nuclear warhead and can strike it target 5000 km in just 20 minutes. Agni-5 is a three stage missile and this time it was launched from a canister mounted on a truck at Wheeler Island off Odisha coast. Agni-5 weigh 50 tonnes and cost 10 million $ or 50 crores rupees. The canister launch will give Indian army a great flexibility and strength. It is 17 metres long and 2 m wide. The very accuracy Ring Laser Gyro based Inertial Navigation System (INS) and the most modern and accurate Micro Navigation System (MNS) has ensured the missile reach the target point within few metres of accuracy.
Machine learning (ML) has numerous potential applications in the soap manufacturing industry, contributing to process optimization, quality control, resource management, and more. Here are some examples: 1. Quality Control : ML algorithms can be trained to analyze images of soap bars to detect defects such as cracks, air bubbles, or inconsistent coloring. By automating the inspection process, manufacturers can ensure that only high-quality products reach the market, reducing waste and enhancing customer satisfaction. 2. Predictive Maintenance : ML models can analyze sensor data from manufacturing equipment to predict when maintenance is needed. By detecting potential issues before they cause equipment failure, manufacturers can minimize downtime and reduce repair costs. 3. Supply Chain Optimization : ML algorithms can analyze historical data on raw material prices, demand forecasts, and production schedules to optimize inventory management and procurement decisions. This helps minimize...
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