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The fruit export market in Chile lacks of an online system or procedure for quality control of export fruit, which considers the minimum mandatory parameters that different types of fruit must meet in order to be exportable to different destinations. To solve this problem, we designed an information system that allows the online control quality of export fruits during the different stages of the productive...
Nowadays, many requirements must be fulfilled in relation to the application of agrochemicals in different productive stages of the export fruit in Chile. Agronomists in charge of productive orchards should consult different sources of information before proceeding to apply a certain product. This is based on technical guides and protocols that are also modified from time to time, which implies a...
Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth brushing, writing on paper, using keyboard, stationary and cleaning) are classified by using data obtained from only smartwatch motion sensors (accelerometer and gyroscope). To compare...
Since breast cancer is a common disease in society all over the world, early diagnosis is of vital importance in order to treat patients before it reaches an irreversible phase. Expert systems are being developed to make it easier to diagnose the disease. In this study, an ensemble of neural networks named radial basis function network (RBFN), generalized regression neural network (GRNN) and feed...
In article is considered the approach to use of original elements of conceptual graphs notations at the complex description of declarative and procedural components of the control expert systems (ES) within the general problems of design automation of the chosen ES class.
“EGGSORT: Avian Egg Gender Classification in Early Stages of Incubation” is an R&D project supported by TÜBİTAK and aims to find differentiating information on avian egg gender. Current study is about measuring performance of spectroscopy differentiation methods on egg white and egg yolk and the effect of eggshell on these measurements. Preprocessing methods and correlation measurements between...
Today, information technology has been used frequently in the veterinary field. Storage, information gathering and interpretation processes are realized by transferring the related field data to digital medium. In this context, expert systems provide important implications for symptom-disease relationship. In the study, the symptoms obtained from the pets are evaluated by the expert system and the...
iSkin Specialist is an attempt to combine the power of smartphones (which is becoming common globally) with specialist doctors (which is very limited) or to an expert system — to provide quick diagnosis for skin conditions like rash, bug bite, etc. The diagnosis in many cases are simple but without proper diagnosis and treatment, some of these skin conditions can have serious health impact and can...
One of the most important things in project management is using the most suitable tools and methods in an effective way for project success. The available tools for software project management mainly focus on planning, time management, team management, collaboration, and tracking the development progress. However, there is a lack of supporting mechanisms to guide managers and decision makers for making...
According to the World Health Organization, there are about 15% of universe population have some forms of disability. One of these disabilities is Cerebral Palsy CP which is a permanent motor disorder that appears in early age causing mental and physical disabilities. Based on WHO, between 1.5 to 2.8 cases per 1000 birth have CP Disability in the world. In Gaza Strip, 2.6% of population has some forms...
This paper is based on author's previous research in a field of UAV optimal energy consumption [1]. The article justifies the necessity to keep track of changes of all the parameters in working quadcopters. The hardware selection algorithm and calculations connected with it will be presented as well as a model for choosing a more suitable choice will be offered.
The work is devoted to solving the problem of monitoring and diagnostics of the complex technical and technological objects state by data-based models application. As an example of these models use, the process of electrochemical dimensional processing of high-strength materials was considered. The models of electrochemical processing based on neural networks are developed. The option for introduction...
The expert system is applied to the fault diagnosis of mine power supply network, and a way to realize the fault diagnosis expert system of mine power supply network is put forward. In this paper, the mine power supply network fault diagnosis expert system is based on Visual C ++ 6.0 development environment and SQL2008 database development and design, the use of configuration technology scalability,...
With the rapidly development of industrial, environmental pollution is becoming more and more serious. So it leads people has more attention to the sewage treatment process. Among them, the PH value neutralization process is interfered by many factors, it has non-linearity, lag and other characteristics. Traditional PID control can not achieve the online self-tuning parameters, so it can use the expert...
The performance evaluation of distribution network operators is essential for the electrical utilities to know how prepared the operators are to execute their operation standards and rules, searching for minimizing the time of power outage, after some contingency. The performance of operators can be evaluated by the impact of their actions on several technical and economic indicators of the distribution...
In bioinformatics, protein multiple sequence alignment (MSA) and phylogenetic tree construction are among the major problems for which many algorithms have been developed to improve the accuracy the results. However, finding the best algorithm among the available ones remains a challenging task since the efficiency of an algorithm is closely related to the characteristics of the input sequences. Moreover,...
The aim of this paper is to investigate the use of oculography signals for the recognition of experts in visual arts. We focused our attention on the number of sight transitions between characteristic image areas (ROIs). In the experiments we used oculographic data recorded at the Department of Experimental Psychology at the Catholic University of Lublin for 29 images and 34 users. The EM method was...
SMS is one of the most widely used service of mobile communication. However, an important part of this communication consists of unwanted messages called spam. In this study, a new approach for SMS spam filtering and an Android application of this approach is presented and developed. In this method, spam detection is performed based on changes of the UTF-8 values of the characters. The developed approach...
The methodological principles model of fuzzy expert system of assessing the impact of environmental pollution on mortality in Ukraine was developed in the work. The approach, which allows to determine the proportion of the total deaths caused by destructive influence continuous pollution (emissions, discharges and waste) and social and natural and economic conditions have been proposed. On the basis...
This paper presents new approaches for construction of knowledge-oriented control systems. The AND/OR-graph model is improved for control rules visualization and interactive processing. The knowledge-oriented system for the dispatcher that regulates the safe operation with electrical equipment made it possible to increase the reliability of decisions taken by the dispatcher by 12%.
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