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Shopping malls, these days, are crowded and many people find it time-consuming and hard to shop. Locating a commodity coupled with standing in long queues for billing looks cumbersome. To overcome these difficulties, the authors of this paper, present the design of the product, smart trolley. When the customer enters the market, he has to log-in to the product and the map of the supermarket is displayed on the LCD screen. Later, once he starts shopping, upon entering each aisle, the details of the products in the aisle are displayed. For billing, the user has to scan the bar code for packed goods and based on the scanned code corresponding to the product, the price is displayed. For unpacked items such as fruits, vegetables etc, a picture of the commodity is taken which is classified with neural networks, the weight of the commodity is measured and the price is calculated with this information. Later, the customer has to click the finish button upon finishing shopping and pay via online transactions. This system design is validated with a prototype that has a camera, transducers, LCD screens RFID readers and raspberry Pi embedded in it. RFID technology is used for location tracking, cameras are used for scanning bar codes (packed goods) and taking snaps of commodities (unpacked) and a force transducer is used for measuring weight. Finally, the database images are multiplied with different level of approximate multipliers and various error level database has been created. The accuracy of all databases is tested with the VGG-16 network.

In the presentscenario, Every University/College consists of many students, with the increased number of students it is a very tough task for the university to verify attendance manually and control malpractice during the examination. During a written test it is very easy for students to copy. To overcome these problems, in this paper we are going to discuss on Exam Monitoring systemwith a computer-based examination, attendance verification, and malpractice detection. This system consumes comparatively less time to verify attendance, generates distinct sets of questions for students, monitors during theexam, and the result is stored in the cloud.

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In this paper, a comparison on Total Harmonic Distortion (THD) by using different pulse width modulation schemes for an industrial drive application is performed. The induction motor drive system driven by a wind energy conversion system is modeled using a Self-Excited Induction Generator. To obtain a constant frequency output an Impedance Source Inverter (ZSI) is connected between the source and the load. The ZSI is selected to avoid the shoot-through limitation which is observed in other conventional PWM inverters. The PWM switching techniques like Trapezoidal PWM, Sinusoidal PWM and Space Vector PWM techniques are mathematically modeled operating at a switching frequency of 10 kHz to control the induction motor drive system though pulse generation. The proposed method is simulated using MATLAB program and the current harmonic levels for driving the IM drive are analyzed. The comparative analysis of current harmonics illustrates the efficient implementation of PWM technique for the drive applications. Based on the simulation evaluation a similar hardware prototype model is setup for a 900W system using Space Vector PWM technique and the results are compared.

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The imprecise multiplier has received a lot of attention for many high-performance systems used today such as in Image Processing, Microprocessors where multiplication is one of the fundamental operations. In order to shorten the reduction stages of imprecise multiplier which is essential for reducing the critical path delay, complexity and power consumption, higher compressor adders are employed. In this paper, a novel comparison technique for approximation is implemented using a 5:3 compressor which is area, power, and delay efficient. This compressor is used for developing an 8x8 multiplier. Then the proposed 8x8 multiplier and the existing multiplies are compared for various factors including the evaluation analysis of error rate (ER) and normalised error distance (NED). When compared to existing designs, the proposed 5:3 compressor has a better delay of 18%. After image multiplication, the recommended multiplier is utilised to compare PSNR.

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