Improved Runtime for the Synchronous Multi-door Filling

In this paper, a particular type of dispersion is further investigated, which is called Filling. In this problem, robots are injected one by one into an a priori not known area and have to travel across until the whole area is covered. The coverage is achieved by a robotic team whose hardware capabilities are restricted in order to maintain low production costs. This includes limited viewing and communication ranges. In this work, we present an algorithm solving the synchronous Filling problem in O((k + ∆)·n) time steps by n robots with a viewing range of 1 hop, where k is the number of doors, n is the number of vertices of the graph, and ∆ is the maximum degree of the graph. This improves the best previously known running time bound of O(k · ∆ · n). Furthermore, we remove the constraint from the previous algorithm that the door vertices need to have a degree of 1.

Koch Infinite Fractal Curve Implementation for the Space Filling Problem in Manufacturing

Space-?filling problem has been one of the most intriguing problems in the domain of manufacturing science and engineering. Several approaches have been applied to solve the problem, ranging from in?finite curves (Gospel Curve) to straight-line approaches. This paper introducesa new approach of space fi?lling using fractal curves. Fractal curves are de?ned as mathematical curves whose shape retains the same general pattern of irregularity, regardless of how much magnifi?ed the shape has been considered, basically the shape of a fractal. These curves are widespread in nature and hence using the same, a novel method has been prepared for generating a fractal curve to be implemented in the additive manufacturing process.

Sustainability and limitation of Plastic Modified Bituminous Interlocked Paving Block: A Supervision

Without the use of a binder, Interlocking paving blocks locked each other and built a stable pavement structure which suitable for sidewalk, footpath and non-traffic area etc. that reduces the construction time and cost both. A huge amount of natural and industrial materials such as cement, bitumen, aggregate and other additives are employed in pavement construction and maintenance at the same time on the other hand plastic waste generation increases day by day which becomes an eyesore. It has been suggested by the researchers that plastic can sustain 4500 years without its degradation. 6 billion tones of plastic has been produced from 1950 to 2018 out which 12% and 9% have been incinerated and recycled but 79% left as untreated. This paper provides an guidance that waste plastic improves the rheological property of binder as well as the physical-mechanical property of interlocking pavement block if it combine with Bitumen. Through this investigation, an attempt also made to identify and suggest a possible use of plastic in the paving block so that dumping and land filling problem of waste plastic can reduce.

Predicting surface forms in complex inflectional paradigms through phonological constraints

This paper describes a new approach to the 'cell-filling problem' in inflectional paradigms (Ackerman and Malouf 2013) that builds on an account in Rosen (2019) in the framework of Gradient Symbolic Computation ('GSC') (Smolensky and Goldrick 2016). Exponents in a paradigm are derived through (a) Faithfulness to gradiently-weighted input blends of phonological material that occur both as part of a lexeme and on a morphosyntactic feature combination and (b) a gradiently weighted constraint that rewards a candidate for identity with a principal part form (Finkel and Stump 2007) in the paradigm. The analysis is applied to complex paradigms in Ngiti and Kwerba (Finkel and Stump 2007), both of which the previous account was unable to capture, and is presented as evidence in favour of the partially-activated features and weighted constrains in the GSC model.

Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses

In this work, we consider the medical slot filling problem, i.e., the problem of converting medical queries into structured representations which is a challenging task. We analyze the effectiveness of two points: scattered keywords in user utterances and weak supervision with responses. We approach the medical slot filling as a multi-label classification problem with label-embedding attentive model to pay more attention to scattered medical keywords and learn the classification models by weak-supervision from responses. To evaluate the approaches, we annotate a medical slot filling data and collect a large scale unlabeled data. The experiments demonstrate that these two points are promising to improve the task.

Recycled polypropylene Tiles: - From waste to wealth

The main objective of this research work is the development of multipurpose light weight polypropylene (PP) tiles by injection moulding technique from recycled polypropylene. The base material selected for this product is polypropylene (PP) which is a common thermoplastic commodity plastic having melting point of 140°C. PP is a polymer material that offers good quality of elasticity, toughness, high mechanical strength with great aesthetic properties. Various compositions of recycled PP composite along with PP copolymer and acrylo butadiene styrene (ABS) have been formulated. These recycled composite materials have been processed by an injection molding machine to tiles and characterized for various properties to confirm its feasibility for commercial application. PP tiles having PP copolymer and ABS shows highest value to tensile strength i.e. 36.2 N/mm2. These tiles can be used as a better substitute in order to replace conventional tiles and can also resolves plastic land filling problem