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The conservation status of asphalt pavements can have a direct impact on the use of aircraft and consequently on the safety of their users. The primary function that an airplane requires from airport asphalt pavements is related to landing and take-off processes. Therefore, for the complex operations of an airport to be properly conducted, an infrastructure is required that mainly considers the movement...
This paper presents a multicriteria nominal classification method derived from the concepts of PROMETHEE, which is then applied to problems characterized by minimum performance profiles (MMP) to determine categories. In order to illustrate the applicability of the proposal, this method is applied to classify relational attitudes in the context of IT outsourcing regarding an IT service contractor company...
This paper presents an adaptive nonsingular terminal sliding mode formation control by means of output recurrent fuzzy wavelet neural networks for a group of networked heterogeneous Mecanum-wheeled omnidirectional robots with uncertainties. The dynamic behavior of each uncertain heterogeneous omnidirectional robot is modelled by a reduced three-input-three-output second-order state equation with uncertainties...
Given the need for organizations that develop Business Process Management (BPM) initiatives to assess their maturity levels in this field, the complexity of choosing a suitable BPM maturity model (BPMM) to do so and the difficulty of applying the solutions proposed in the literature to address this problem, this paper presents a multicriteria decision model for choosing a BPMM. In this work, the alternatives...
The temperature distribution in the curing oven is a typical distributed parameter system (DPS). Modeling of this kind of system is very difficult as only few sensors are available inside. Besides, thermal behaviors of the oven are time-varying in the directions of space and time. In this paper, an adaptive spatiotemporal modeling method is designed for the curing thermal process. Time-varying spatial...
With the development of unmanned aerial vehicles (UAVs) and the relevant techniques, UAVs become common and popular for civilian applications such as remote sensing tasks. The reason is because they are cheap, flexible, and easy to set up. Car park occupancy analysis is important for authorities to make decisions on the design, plan and management of car parks. To have a quick knowledge of current...
The paper is concerned with the robust finite-time stabilization problem of quadrotors subject to inertia uncertainty and disturbances. The underlying stabilization problem consists of controller designs for position loop and attitude loop, both of which are carried out based on the terminal sliding mode control approach. First, a robust finite-time position controller is designed by considering the...
This paper proposes an adaptive control for a rigidlink, flexible-joint robot using the Cerebellar Model Articulation Controller (CMAC) and the backstepping method, which is a suitable method when joints are underdamped and exhibit a large amount of flexibility. A previously proposed robust weight update method, deemed the introspective method, is placed into a Lyapunov-stable framework. In the introspective...
In this paper, we evaluate methods of aggregating personal sensor data to estimate the degree of group stress. We compare the estimation accuracy of two aggregation methods, one without and one with personal distribution scaling. As a result of applying the data of 9 groups of people (105 people) to the methods, it is shown that the no-scaling method successfully estimates the degree of group stress...
Force Myography (FMG) is a method of tracking functional motor activity using volumetric changes associated with muscle function. With comparable accuracy and multiple advantages over traditional methods of functional motor activity tracking, FMG has shown a promising potential in terms of applications in human-machine interfaces, tele-operation and healthcare devices. This paper provides a study...
A ship maneuvering simulator is elïective training tool for navigation officers. An instructor of simulator training executes the evaluation based on the check list. The trainee is told the evaluation at the de-briefing, and obtains the chance to improve his maneuvering skill. On the other hand, some objective evaluation methods for the simulator training were proposed, and also a method for estimating...
In learning and development, students need to be made aware of their slips and mistakes in terms of acquiring the required knowledge, skills and competencies, especially, in active learning approaches. However, assessments may not necessarily lead to an effective understanding of student's errors. Most assessors are required to measure the extent of student's accurate output in terms of exam answers...
Key Performance Indicators (KPIs) are used to inspect the performance and progress of businesses. This study introduces a new, integrated approach to manage KPIs in the context of decentralized information efficiently and to address the visual and managerial gaps existing in companies. The proposed Business Indicator Management (BIM) system is essential for any businesses to meet their needs in terms...
Despite its associated challenges, the development of mechanisms for storing, indexing, transmitting and visualizing multimedia content is crucial in order to efficiently deal with the large amount of data generated by several different sources. Digital video technology has advanced rapidly, such that temporal video segmentation methods for automatically detecting transitions in video sequences play...
This study aims to design an adaptive output recurrent cerebellar model articulation controller (AORCMAC), which is embedded into the direct torque control (DTC) system of an induction motor as the speed controller. Similar to the conventional cerebellar model articulation controller (CMAC), the designed AORCMAC also has the advantages of rapid learning, simple architecture, online training, and nonlinear...
This study builds an automatic monitoring system for the fish pond culture environment. The purpose of this study is to reduce the financial losses in fish culture stock resulting from natural disasters, and facilitate better control of the fish pond environment. The physical water quality signals are therefore extracted using temperature, dissolved oxygen and pH sensing modules. The water heater,...
In this paper, we propose a computational strategy to enhance the performance of Image Quality Metrics (IQM) by using content specific features of an image. We do this by creating Visual Error Importance (VEI) map that is applied to the error maps computed by the IQM. A global optimization can be used to compute the VEI map that is optimal for any given IQM. We demonstrate this concept by categorizing...
A development planning approach combining game theory and network model is proposed to address the strategy selection and evolution for weapons system-of-systems (WSoS) characterized by an iterative and competitive development process between countries. More specifically, the development planning framework, including game player, strategy definition, and constraints (e.g., time and money), is first...
Advances in technology and the need to meet many interdependent competing requirements have led to complex information intensive systems that can be best managed by integrating multi-discipline, multi-attribute models for better informed decision-making. Attempts to bridge the gap between systems engineering and project management have been sought through project management methods and through imposing...
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