Household appliances are electrical devices that are used to increase the level of comfort for consumers and save time on household work. Such appliances aid in household functions such as cooking, cleaning, and washing. They can be classified into two types: major household appliances and small household appliances. Major household appliances include products such as refrigeration appliances, home laundry appliances, large cooking appliances, microwaves, and dishwashers while small household appliances include products such as small cooking and non-cooking appliances, vacuum cleaners, and personal care appliances.

Built-in dishwashers and freestanding dishwashers are the two types of dishwasher. A built-in dishwasher is a mechanical device used for cleaning dishes. It is an integrated, permanent kitchen appliance connected to the flow of other kitchen appliances. Built-in dishwashers are large in size compared to freestanding dishwashers, allowing end-users to wash more dishes at a time and save energy. The increasing popularity of modular kitchens and the development of countertops and kitchen cabinets are boosting the sales of built-in dishwashers.

We present energy-ecient algorithms for three such applications: automatic vehicle classi cation for categorizing each passing vehicle based on its axle count and inter-axle spacings; weigh-in-motion for estimating individual axle weight and total weight of trucks while they are traveling at normal speeds; and estimating pavement displacement from measured acceleration.

This chapter presents a detailed, step-by-step demonstration of how vision-based navigation modules can be actually implemented in real life, under 32-bit Windows environment. These lessons start with a simple development of capturing image frames from a running video and then gradually proceeds to more complex tasks of incorporating image processing capabilities e.g. filtering techniques, contrast enhancement, adaptive thresholding etc. Then the lessons demonstrate how to extract path for the robot from such images and how a rule-based approach can be utilized to determine left and right wheel speed settings of a differential drive system.

This chapter discusses how real-life interfacing of external peripherals with a ready-made mobile robot can be successfully achieved. Such a system is hoped to be useful for those research scenarios where, many-a-time, because of the fund constraints, a complete robot system cannot be procured with all its accessories and sensor systems. This chapter discusses how such interfacing can be achieved for the KOALA robot using serial communication in interrupt driven mode.

FeRB and FeOB are routinely co-located in iron corrosion products. FeRB may enhance corrosion under some cirumstances or have a passivating effect on corrosion in others. FeOB have been shown to enhance corrosion in pure, marine cultures.

This chapter discusses how a vision based robot navigation scheme can be developed, in a two-layered architecture, in collaboration with IR sensors. The algorithm employs a subgoal based scheme where the attempt is made to follow the shortest path to reach the final goal and also simultaneously achieve the desired obstacle avoidance. The algorithm operates in an iterative fashion with the objective of creating the next subgoal and navigating upto this point in a single iteration such that the final goal is reached in minimum number of iterations, as far as practicable.