Papers by Keyword: Stacking

Abstract: Bilayer graphene has been widely studied in recent years due to its intriguing physical properties and potential engineering applications. Here, we report on the stability measurements of isotope-labeled bilayer graphene with different stacking sequences. The results showed evidence of different defect intensity after the Ar plasma treatment. We found that the AB stacked bilayer graphene shows better stability when compared to twisted bilayer and monolayer graphene. However, for the protection of the under layer graphene, the twisted bilayer graphene showed better results. Our work demonstrates that the stability of bilayer graphene strongly depends on the layer stacking sequence.

Abstract: Health is a critical condition for living things, even before the technology exists. Nowadays the healthcare domain provides a lot of scope for research as it has extremely evolved. The most researched areas of health sectors include diabetes mellitus (DM), breast cancer, brain tumor, etc. DM is a severe chronic disease that affects human health and has a high rate throughout the world. Early prediction of DM is important to reduce its risk and even avoid it. In this study, we propose a DM prediction model based on global and local learner algorithms. The proposed global and local learners stacking (GLLS) model; combines the prediction algorithms from two largely different but complementary machine learning paradigms, specifically XGBoost and NB from global learning whereas kNN and SVM (with RBF kernel) from local learning and aggregates them by stacking ensemble technique using LR as meta-learner. The effectiveness of the GLLS model was proved by comparing several performance measures and the results of different contrast experiments. The evaluation results on UCI Pima Indian diabetes data-set (PIDD) indicates the model has achieved the better prediction performance of 99.5%, 99.5%, 99.5%, 99.1%, and 100% in terms of accuracy, AUC, F1 score, sensitivity, and specificity respectively, compared to other research results mentioned in the literature. Moreover, to better validate the GLLS model performance, three additional medical data sets; Messidor, WBC, ILPD, are considered and the model also achieved an accuracy of 82.1%, 98.6%, and 89.3% respectively. Experimental results proved the effectiveness and superiority of our proposed GLLS model.

Abstract: A method has been developed for the detection of cyromazine and melamine using capillary electrophoresis (CE) coupled with electrogenerated chemiluminescence (ECL). The method utilized gold nanoparticles modified electrode as a working electrode because it can improve sensitivity of ECL detection. It has been found that acetonitrile can improve stacking in electrokinetic injection with field amplified sample stacking. The detection limits of 0.5 ng/mL and 1.0 ng/mL were obtained for cyromazine and melamine, respectively. The established method was successfully applied for milk sample analysis with good reproducibility, precision, accuracy, and high recovery.

Abstract: In order to improve the performance of IPMC, a chemical deposition method was utilized to manufacture IPMC with silver electrodes (Ag-IPMC), and methods of ion exchange and ionic liquid penetration were adopted to conduct modified treatment for original IPMC. Additionally, the stacking performance of IPMC, which was disposed by ionic liquid penetration after the modified treatment, was analyzed. Results showed that: Ag-IPMC, which was modified by treating in 2mol/L LiCl solution for three hours, presented the optimal performance. Also, the IPMC after modified treatment by ionic liquid penetration swung longer in air, and its tip output displacement was stable at five millimeter; without any change with time. Furthermore, the stacked model of IPMC decreased the excursion of center in the process of swinging, and it also increased the output force of IPMC. The stacked model, which was composed with 3 sheets of IPMC after modifying treatment by ionic liquid penetration, was verified to have the optimal performance.

Abstract: This work deals with study, investigation, design and analysis structure of 5 stages axial flow gas turbine with AxSTREAM software suite. AxSTREAM turbomachinery suite, with few boundary conditions generating solutions precisely and very fast in preliminary design with ideal point. For that point including losses design the streamline flow path and converging results of CFD analysis and visualization the thermodynamic parameters. Stress and FEM analysis of a single stage and study of von mises stresses distribution. Static and vibration analysis of turbine blade with difference frequency and temperature. Natural frequency, rotor speed study with operating speed and vibration mode with Campbell diagram.

Abstract: This paper focuses on storage location assignment and exported container relocation in container yard of container terminal with the objective of minimizing the number of container lifting. On the lifting steps, the truck with yard crane should be chosen in order to deliver a container from container yard to container ship, and this action can reduce container ship's docking time and increase effectiveness in container terminal service. In this paper, a genetic algorithm (GA) in container storage assignment and a heuristic for the container relocation determination are adopted. Also, the current practice including first-in-first-stored (FIFS) and simple relocation (SR) is used to compare the effectiveness of the GA and the proposed heuristic (RH). The experimental result presented that the proposed method is able to construct the effective solutions of storage location assignment of exported containers, and it reduces the number of relocations of exported container effectively.

Abstract: This paper reports the results of a study to use the ant colony optimization (ACO) in solving an export container stacking and storage problem of a container terminal port. Three different methods of solutions based on different initial solution techniques and the current method used by the port were used to test forty sample problems which were classified into four problem types representing different patterns of container arrivals. The results of this study revealed that the three methods based on the ACO could be used to improve the total time taken for stacking and storage of the export containers for all problem types. Among the methods investigated, the heuristic-based ant colony optimization (BACO) method proved to be the most efficient for all problem types, with the relative improvements over the current method ranging from 25.4-38.7%.

Abstract: The growth of containerization and transporting goods in containers has generated capacity and equipment allocation problems in maritime ports. Container terminals represent complex systems with dynamic interactions between the various handling, transportation and storage units, and uncertainties about future events. Maritime container terminal operates at full capacity if the arrival of vessels to berth is uniform according to its capacity and equipment operating at constant parameters. Since there are random factors both on the arrival of ships and on the operation of equipments, the paper analyzes the influence of these factors on the terminal capacity. Therefore, we proposed a generic simulation model structure for the comparative assessment of the measures of performance of maritime terminal in ideal conditions (without perturbations in the terminal operation) and in different statistical assumptions of vessels inflows to berth and number of containers to unload per vessel. Based on event driven and virtual reality technology, the handling technology simulation model is developed using ARENA simulation software. The model is set-up by combining three basic functions: transport, transfer, and stacking. The transport activity is assumed by the flows of the container vessels and trucks. Different characteristics of the arrival flows are assumed (intervals between transport units, number of containers to unload). Quay cranes provide the container transfer. The stacking areas consist in one capacity area on the quay for the quick transfer on trucks. The simulation results lead to the conclusion that it can be achieved berth high occupancy and minimization of vessels waiting time at the port if the vessels inflows follow a distribution with small variance around the ideal value.

Abstract: For coal gangue sintered brick production process, the effect factors are discussed, the best process factors are: coal gangue maximum size should be less than 3 mm, suitable for calorific value for 400 ~ 600 kcal/kg; Forming water is not more than 17%, extrusion pressure is not more than 3.0 MPa; Dry air brick moisture content should be less than 6%; Firing temperature should be controlled in more than 1050 °C.

Abstract: Binding the actual production of one sporting goods factory, in order to meet the needs of automatic production line of shooting flying saucer, the discoid products stacking machine was developed based on PLC, carried out mechanical system design of discoid products stacking machine and control system development based on PLC. After production testing proved reasonable structure of mechatronics systems, easy to operate, reliable, able to meet the requirements of automated production, with a strong practical and innovative, have some application value.