For both SAV and non-SAVs, the trip event is initiated as they enter the network from the three various entrances. These entities decide the route to individual carparks using carpark preference survey data. Although it is difficult to gather data of all routes and carpark choice a driver decides to choose but a weeks’ carpark count gave an indication on how drivers choose their parking assuming that all vehicles eventually end up in a carpark. These counts carried out between 11-15 June 2018 provides information about user preference for the jth car park entity over the others in the system. It also provides information on the daily car usage against capacity.
Cell formation, cell scheduling, and group layout are three important problems in designing and configuring a Cellular Manufacturing System (CMS). In our paper, "Joint cell formation, cell scheduling, and group layout problem in virtual and classical cellular manufacturing systems: Metaheuristic approaches embedded in a computer software", we address the integration of these problems in virtual and classical CMSs considering alternative processing routes. The objective is to minimize the total handling costs and cycle time. Due to the computational complexity of the problem, hybrid metaheuristic algorithms are proposed to solve the problem. Depending on the type of cells, which is either classical or virtual, an encoding scheme is proposed to effectively represent candidate solutions. Placement algorithms are developed to obtain the layout from an encoded solution; these algorithms are either based on running a heuristic or a linear program. A computer software, called ICFLSD (Integrated Cell Formation, Layout, and Scheduling Designer) is developed to simplify the problem-solving process from the data entry to getting results. Numerical examples adopted from the literature are solved using the ICFLSD and CPLEX solver to assess the performance of the metaheuristic algorithms. The comparison results demonstrated the superiority of the simulated annealing to the other solution approaches considered in this study.
This dataset contains the ICFLSD and numerical examples solved in our paper.
Contributors:Franklin Djeumou Fomeni, Walter Rei, Teodor Crainic
The .zip folder contains detailed description of the data set presented here. The data set is the data set used in our paper entitled: "Multi-period bin packing model and effective constructive heuristics for a corridor-based logistics capacity planning". The paper is yet to be published. So, the full reference to the paper will be provided in due time.
The dataset provided here derive from the paper originally published in the Journal of Applied Ecology. Such study applied ecological niche modeling techniques to estimate the past, present, and future distributions of six Bombus species found in South America. These data were used to estimate climatically stable areas (CSAs) for each species and, combined with information on land cover and protected area network, identify species and areas for the conservation of these important pollinators. The models predicted a reduction in climatically suitable habitats from Last Glacial Maximum (LGM) to the present for most species. Similarly, all species were predicted to lose climatically suitable areas in future climate scenarios, ranging from 9% to 78%, depending on the species and climate change scenario. The percentage of legally protected CSAs varied between 4.0% and 48.2% among species, mainly due to differences in the protected area network among the biomes in which they occur. A significant portion of the distribution range of most species includes agricultural areas, which likely increases bumble bee exposure to pesticides. Based on the estimated habitat loss due to climate change, as well as from land cover and protected area, our results indicate that B. bellicosus, B. brevivillus, and B. brasiliensis are the most endangered species of those evaluated. Our findings provide a framework for conservation strategies of six species of South American bumble bees, by prioritizing species and areas for conservation considering their distribution range and the climatically stable areas under different climate change scenarios. Our findings provide a framework for conservation strategies of these important pollinators taking into account CSAs.
The data set comprise occurrence records for the six bumble bee species, the background files used in the modelling process and the generated suitability maps for each species and climate change scenarios.
Research data for the Section "4. Impact" of the article "Clava: C/C++ source-to-source compilation using LARA"
It contains the required files and instructions to obtain the results presented in sections 4.1 and 4.3.
# 4.1. Stress Test
Automatically instruments several large C programs so that they produce a call graph when the program executes.
To run the test use the command: clava -c stress_test.clava
Some examples (e.g., gcc.c) will only parse sucessfully on a Linux machine.
# 4.3. OpsCounter
Automatically instruments the NAS benchmark set so that it counts the number of source code operations executed by the kernels.
To run the test use the command: clava -c ops_counter.clava
Gesture recognition technology is rapidly growing in the recent years due to the demands of many application such as computer game and sport, human robot interaction, assistant systems, sign language interpretation and e-commerce. One of the most important of gesture recognition is hand-gesture recognition. For example, it can be used to control all devices (television, radio, air-condition, and doors) by just hand gestures for smart home application. The HGM-4 dataset is built for hand gesture recognition (the full dataset is available from: http://dx.doi.org/10.17632/jzy8zngkbg.2) which contains total 4,160 colour images (1280 × 700 pixels) of 26 hand gestures captured by four cameras at different position. The training and testing set are defined to create a benchmark framework for comparing the experimental results.