An Open-Domain Question Answering System Using Annotated Web Feeds.

Open Domain Question Answering Systems (ODQA) aim to answer all possible questions, regardless of topic and time. For this to be possible, most current ODQA systems depend on the World Wide Web through search engines, e.g. Google, which provide an abundance of information. Problem arises when search engines require a few days to crawl, archive and index the latest documents depending on the popularity of the website and the search engine's indexing efficiency. Thus, recent information may not be available as soon as it is published. Our work focuses on capturing and populating current news articles from various trusted resources into a single unified repository. We have implemented a prototype which uses Web 2.0 RSS feed technology to capture the information. This includes an interface which allows other question answering systems to access our repository using various formats' e.g. XML and SQL query. We have also implemented a question answering engine which employs keyword detection, query expansion and rule matching

REVIEW OF VIBRATION-BASED SURFACE & TERRAIN CLASSIFICATION FOR WHEEL-BASED ROBOT IN PALM OIL PLANTATION: 27th October 2022; 13th December 2022; 21st January 2023; 23rd January 2023

Palm oil can grow in almost flexible topography. On flats, slopes, hilly, or undulating areas and whether on inland or reclaimed coastal areas. This makes the palm oil plantation environment unique with various soil types & surfaces. Each surface has a unique physical characteristic that directly influences the driving, handling, power efficiency, stability and safety of a robot. A mobile robot should have knowledge not limited to obstacles, but also the surface that the robot traverses to estimate wheel slippage and apply corrective measures. This paper discusses the harshness factors in palm oil plantation estates and the effects on wheel traction. We then present our review of several vibration-based surface classification techniques. Based on our survey, a combination of multimodal sensory for surface classification is more suitable to identify surfaces and terrain in palm oil plantations