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Naveen Cheggoju

Publications and source records attributed to Naveen Cheggoju.

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Stand-alone device for IoT applications

Internet of Things (IoT) is a digital world of connected and talking devices, providing room for countless and diverse smart applications. This paper proposes one such IoT enabled stand-alone device with numerous capabilities: (i) interaction with user, (ii) required application selection, (iii) data sensing, (iv) data publish, and (v) decision making and actuation. The algorithm allows user to pick an application and input specific data for calibration, which on completion enables the device for further working. To verify and test its capability, a smart home garden environment is created using this device, temperature, humidity, soil moisture sensors and actuators. As it is implicit that real-time communication is inevitable for an IoT application, the sensor data is published to a Mosquitto MQTT broker to permit real-time remote access. The decision taken by the device is sent to actuators via relay, thus a continuous monitoring process is achieved. Results are obtained for the application which proves the device suitability for IoT applications.

cs.NI

BlinQS: Blind Quality Scalable Image Compression Algorithm without using PCRD Optimization

Quality Scalability is one of the important features of interactive imaging to obtain better perceptual quality at a specified target bit rate. In JPEG 2000, it is achieved using quality layers obtained by Rate-Distortion (R-D) optimization techniques in Tier-II coding. Some important concerns here are: (i) inefficient conventional Post-Compression Rate-Distortion (PCRD) optimization algorithms, (ii) lack of quality scalability for less or single quality layer string. This paper takes the above mentioned concerns into account and proposes a Blind Quality Scalable (BlinQS) algorithm that provides scalability with the least computational complexity. The novel part of this method is to eliminate the Tier-II coding and add a blind string selection algorithm through a normal distribution for efficient rate control. The results obtained suggest that the proposed method achieves better results than JPEG-2000 at single quality layer and achieves results close to JPEG-2000 without using PCRD optimization algorithms.

eess.IV