Latest Experiments with GDV Technique in Agronomy

We have recorded coronas of ripe apples as a follow up to last year’s study [6]. The results indicate that we are unable to detect differences between organically and conventionally grown apples of very similar standard quality. We are, however, able to pick up differences between plants grown using different fertilization schemes

Search versus Knowledge: An Empirical Study of Minimax on KRK

This article presents the results of an empirical experiment designed to gain insight into what is the effect of the minimax algorithm on the evaluation function. The experiment’s simulations were performed upon the KRK chess endgame. Our results show that dependencies between evaluations of sibling nodes in a game tree and an abundance of possibilities to commit blunders present in the KRK endgame are not sufficient to explain the success of the minimax principle in practical game-playing as was previously believed. The article shows that minimax in combination with a noisy evaluation function introduces a bias into the backed-up evaluations and argues that this bias is what masked the effectiveness of the minimax in previous studies

Forecasting of Results of the State-Level Projects Implementation

The problem of modeling the impact of the state-level projects implementation on introduction of the newest technologies is considered in this paper. To solve this problem the simulation model of scientific and technological development of economic activity types of Ukraine is developed. This model is proposed for optimization of development plans of a particular branch of industry. It is proposed to perform optimization with the help of the developed mathematical model in which the simulation model is used for estimating the values of some parameters of the mathematical model included in the objective functions and constraints. Technique for simulating the impact of the introduction of the newest technologies in the thematic direction "Energy and Energy Efficiency" on the state of Ukrainian industry is develope

GDV images: Current research and results

We use statistical analysis and machine learning to interpret the GDV coronas of fruits and human’s fingers in order to verify two hypotheses: (A) the GDV images contain useful information about the object/patient and (B) the human bioelectromagnetic field can be influenced by some outside factors. We performed several independent studies, three of which we here briefly describe: (a) recording coronas of berries of different grapevines, (b) detecting the influence of drinking the tap water from ordinary glass and energetic glass K2000, and (c) detecting the influence of natural energy source in Tunjice near Kamnik, Slovenia on the human bioelectromagnetic field. All three studies, as well as some other studies described elsewhere, gave significant results and therefore support both hypotheses

Machine learning from coronas using parametrization of images

We were interested to develop an algorithm for detection of coronas of people in altered states of consciousness (two-classes problem). Such coronas are known to have rings (double coronas), special branch-like structure of streamers and/or curious spots. We used several approaches to parametrization of images and various machine learning algorithms. We compared results of computer algorithms with the human expert’s accuracy. Results show that computer algorithms can achieve the same or even better accuracy than that of human experts

Information Stored in Coronas of Fruits and Leaves

We recorded coronas of apple tree leaves and fruits in order to monitor and compare their state under different conditions. The results of our study show that coronas of leaves and fruits give useful information about the health status of plants and about the sort. At the same time we have to conclude that for time being we were not able to extract any useful information for differentiation between organically and conventionally grown plants and for assessing vitality of apple trees grown from various rootstocks

Forecasting methods of non-stationary stochastic processes that use external criteria

The purpose of this work is to create and study an effective forecasting method of non-stationary stochastic processes in the case when observations in the base period are scarce

The Methods of Selection of the Project Management Methodology

The problem of selecting the methodology to manage the company's projects or a specific project is reviewed. The authors suggest the methods to select methodology that are designated for application under the conditions of different degrees of awareness of the decision-maker about the existing methodologies, their advantages and weaknesses, about the range of efficient use. As the methods are more precise, so they require a more laborious analysis of the project and its environment. It is proposed to make the most substantiated choice resulting from solution of the task on optimizing the project's scope to the following criteria: profit, time, cost, quality, risk, and in terms of the company's maturity growth