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Accurate position information of the robot is required in many applications. In this work, a novel INS/range-only based UWB/Encode integrated navigation model is proposed. In this model, the positions of range-only based UWB and INS are used for the position estimation of integrated model; the velocities of encode and INS are used for the velocity estimation of integrated model. Then, a filter with...
The solution of a fundamental problem at quality metering and comparison of objects with an arbitrary origin is offered. It is based on the use of system analysis principles, statistical and expert-analytical methods and methods of mathematical modeling. A model developed allows describing an object through quality metering under conditions when its investigation or estimation is carried out by one...
Use Case Point (UCP) is one of many approaches used for software project estimation. This approach is implemented by calculating effort estimation based on prediction a total number of workers and software development time. UCP was fist introduced by Karner on 1993. This approach is widely used. It was because some research on UCP showed that UCP approach is better than those approaches developed...
For a successful software project, accurate prediction of its overall effort and cost estimation is a very much essential task. Software projects have evolved through a number of development models over the last few decades. Hence, to cover an accurate measurement of the effort and cost for different software projects based on different development models having new and innovative phases of software...
Producing accurate software effort estimation is essential for effective software project management that remains a considerable challenge to software engineering and software industry in general. Many methods have been proposed to increase the accuracy of estimating the software project size, effort, or cost. However, the primary focus has been on functional requirements FRs. We are convinced that...
Software effort estimation is very crucial and there is always a need to improve its accuracy as much as possible. Several estimation techniques have been developed in this regard and it is difficult to determine which model gives more accurate estimation on which dataset. Among all proposed methods, the Radial Basis Function Neural (RBFN) networks models have presented promising results in software...
Software effort estimation is very crucial and there is always a need to improve its accuracy as much as possible. Several estimation techniques have been developed in this regard and it is difficult to determine which model gives more accurate estimation on which dataset. Among all proposed methods, the Radial Basis Function Neural (RBFN) networks models have presented promising results in software...
Estimates of software development effort are frequently inaccurate and over-optimistic. In this paper we describe how changes in the granularity of the unit of estimation, e.g., work-days instead of work-hours, affects the effort estimates. We describe four psychological mechanisms, how they interact and discuss the expected total effect of higher granularity units on effort estimates. We argue that...
The application of BIM (Building Information Modeling) technology in practical engineering becomes more and more frequent. The current research on quantity calculation based on BIM discusses the cost estimation of the building projects. There are few methods that can query construction quantity during the design process which facilitates the designer to modify the relevant data at any time. In view...
In today's cutthroat product and services industries, software has become the main driver for competitive advantage, enabling faster and cheaper innovation and product differentiation with no domain restriction. As the size and complexity of software-based solutions increase, so does the impact of software development decisions on the overall product offering. That is, any decision taken regarding...
During the last few years many initiatives were taken away in response to high levels of energy consumption verified in data centers. We all know that this is a critical issue nowadays. Many studies carried out raised a lot of concerns about the energy demands of data centers, discussing solutions to reduce it effectively without affecting their day-by-day operation. In this work we made a small contribution...
Software effort, schedule, and cost estimation has the highest utility at the time of inception. Since software size is one of the most important determinant of software effort (and, hence, cost), it is extremely beneficial to estimate size early. This early estimation of size is likely to result in better planning for projects dealing with the development of software games. Yet, despite its utility,...
Software Effort is defined as the person months required to make a software application. Software effort estimation is usually the most important phase in the software development life cycle. Software effort estimation requires high accuracy at early phases, but accurate estimations are difficult to achieve. Machine Learning techniques are widely exploited that assist in getting improved evaluated...
The main objective of this work is to present the procedure of development of a software solution, oriented to support the teaching, training and improvement of vocal techniques in the tenor vocal range, by using digital signal processing. It also attempts to expose the importance of the signal processing tools used to estimate vocal parameters, which allow the software to determine the presence of...
This paper describes the development of a portable electronic percussion musical instrument based on movement sensing and signal processing. The system captures the movements from drumsticks and pedals using three-axis accelerometers to translate them into MIDI (Musical Instrument Digital Interface) messages, applying an eigenfilter identification algorithm implemented on a microcontroller. The messages...
In this study application results are presented derived from multi-parametric SAR observations covering five different thematic domains: forest, agriculture, ocean, urban and cryosphere. In total 21 application products have been selected and described. Their application on different data sets, space- and airborne sensors, was demonstrated and can independently be reproduced by any scientist. The...
Software features and costs are often unquantifiable due to the abstract nature of software. In many cases, this results in the estimated costs of software development projects to be potentially highly biased, highly inaccurate, or highly unjustified. Hence, current software estimation methodologies can open up areas for corruption as estimated budgets and costs are difficult to verify and validate...
The recent emergence of microcontroller platforms for digital control of DC/DC converters requires the deployment of modern control algorithms. State-space based control methods are usually involving complex analytical development and are not easily adopted by industry. This paper proposes a simplified arrangement of control equations and software in order to facilitate the understanding of state-space...
The COCOMO Model is one of the best software cost estimation models. This model is a kind of experimental model which has been made up through gathering data on different software projects, and mainly takes cost and schedule of the project under consideration. But hypotheses presented in early phases will be changing during time, and variable estimations might increase or decrease pre-suggested budget...
Recent research has established the negative impact of facial cosmetics on the matching accuracy of automated face recognition systems. In this paper, we analyze the impact of cosmetics on automated gender and age estimation algorithms. In this regard, we consider the use of facial cosmetics for (a) gender spoofing where male subjects attempt to look like females and vice versa, and (b) age alteration...
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