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Many varied techniques have long been suggested for the recognition of features from solid modellers, and the systems which have incorporated these techniques have achieved a moderate success. However the problem of recognition of the wide variety of features, e.g. interacting and non-interacting primitive, circular and slanting features, that any real life component may have, requires complex systems which are in¯exible and hence limited in their use. Here, we present a simple and¯exible system in which the features are de® ned as patterns of edges and vertices to deal with all the above types of features. The system starts by searching a B-rep solid model, using a cross-sectional layer method, for volumes which can be considered to represent features. Once the volumes are detected, their edges and vertices are processed and arranged into feature patterns which are used as input for a neural network to recognize the features. Simple conventions used in this work enable the creation of feature patterns for primitive, circular and slanting features. Learning, generalizing and tolerating incomplete data are some of the neural network's attributes exploited in this work to deal with interacting and non-interacting features.

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All entrepreneurs especially the new entrepreneurs who are yet experienced in the business field, will have the tendency to face various challenges on their road to success in this field. Based on this, this paper sheds light on the various internal challenges as well as the external challenges that will be faced by the new entrepreneurs. Apart from that, this study also aims in identifying the possible suggestions that can be used to overcome those challenges. A review of secondary data including online journal articles and publications were used to gather the data for this study. From the study conducted, it was found that developing business idea and vision, raising capital for start-up and finding the right business location are the among common internal challenges faced by new entrepreneurs. As for the external challenges, new entrepreneurs are found to frequently face challenge in the form of competition, unforeseen business challenges and others. Besides that, the study's findings have also revealed several suggestions which can help to meet those challenges faced by entrepreneurs such as being optimistic towards the challenges faced, expanding the idea and vision to potential investors and so on.

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The manoeuvrability performance of a twist morphing MAV has been the main interest for the past researches. However, aerodynamic behaviour of a twist morphing wing is not fully explored due to limited MAV wing size, limited energy budgets, complicated morphing mechanism, and complex aerodynamic-wing structural interaction. Therefore, the effect of a twist morphing wing mobility on the lift distribution of MAV wing is still remained unknown. Thus, present work was carried out to compare the lift performance between a twist morphing wing with membrane and rigid MAV wing design. A quasi-static aeroelastic analysis by using the Ansys-Fluid Structure Interaction (FSI) method is utilized in current works to calculate the lift performance for each MAV wing design. Each MAV wing has identical wing dimension except for twist morphing wing where a 3N morphing force was imposed on the wing to produce the twist mobility. The lift results show that twist morphing wing able to produce (5% to 20%) higher lift magnitude compared to the membrane and rigid wing for every angle attack cases at pre-stall angle. However, twist morphing wing had slightly suffered from (at least 1°) earlier stall angle and produced almost similar maximum lift coefficient magnitude to the membrane wing