Be water my friend: mesh assimilation

Inspired by the ability of water to assimilate any shape, if being poured into it, regardless if flat, round, sharp, or pointy, we present a novel, high-quality meshing method. Our algorithm creates a triangulated mesh, which automatically refines where necessary and accurately aligns to any target, given as mesh, point cloud, or volumetric function. Our core optimization iterates over steps for mesh uniformity, point cloud projection, and mesh topology corrections, always guaranteeing mesh integrity and $$\epsilon $$ ϵ -close surface reconstructions. In contrast with similar approaches, our simple algorithm operates on an individual vertex basis. This allows for automated and seamless transitions between the optimization phases for rough shape approximation and fine detail reconstruction. Therefore, our proposed algorithm equals established techniques in terms of accuracy and robustness but supersedes them in terms of simplicity and better feature reconstruction, all controlled by a single parameter, the intended edge length. Due to the overall increased versatility of input scenarios and robustness of the assimilation, our technique furthermore generalizes multiple established approaches such as ballooning or shrink wrapping.

Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning

This paper presents Verisig 2.0, a verification tool for closed-loop systems with neural network (NN) controllers. We focus on NNs with tanh/sigmoid activations and develop a Taylor-model-based reachability algorithm through Taylor model preconditioning and shrink wrapping. Furthermore, we provide a parallelized implementation that allows Verisig 2.0 to efficiently handle larger NNs than existing tools can. We provide an extensive evaluation over 10 benchmarks and compare Verisig 2.0 against three state-of-the-art verification tools. We show that Verisig 2.0 is both more accurate and faster, achieving speed-ups of up to 21x and 268x against different tools, respectively.

Studies on storage behavior of Assam lemon (Citrus limon Burm)

Assam lemon is one of the most important fruit of Assam and it is used for culinary purpose due to its fragrance and acidic content. Though Citrus fruits are non-climacteric in nature, depending on the temperature and storage duration, chemical composition of fruits may change. In this experiment different treatments viz T0: Control, T1: Chlorination (4%), T2: Chlorination (4%) + Polyethylene (300 gauge thickness), T3: Chlorination (4%) + perforated polythene (with pinholes), T4: Chlorination (4%) + individual shrink wrapping, T5: Chlorination (4%) + tray packaging used to study the storage life and post harvest quality of Assam Lemon fruits. The effect of these treatments on citric acid, respiration, fruit texture and colour were studied. Among all the treatments, individual shrink wrapping (T4) of Assam Lemon fruit stored at ambient temperature (30-320C and 80–85% RH) was found to be beneficial because it helped to extend the shelf life without deterioration in quality of fruit. Shrink wrap packaging retained the freshness, colour and firmness of the fruit up to 1 month without any decay