Smart greenhouse and plant growth control

Since the development of agriculture is an important problem for every state, huge funds are allocated to this industry. However, the problem of lack of fresh fruits/vegetables, that is, the problem of import substitution remains a pressing issue in many countries. The aim of the study was to inspect the growth of plants in a home-based mini-greenhouse, for which reason the following tasks were set: conduct a biological experiment; search for dependence of the influence of environmental conditions (microclimate) on growth. The paper highlights the problem of import substitution of vegetables in Kazakhstan, and suggests the best way to solve this issue. The proposed solution offers the development of mini-greenhouse that meets the criteria of price and quality. The developed system differs from other smart greenhouses, firstly, by its availability to a wide range of users (price criterion), and secondly, by ensuring agrotechnical, energy, and design requirements (quality criterion). These requirements are implemented through the use of promising technologies: phytomonitoring, intelligent technologies and open source software, the use of available construction materials and water saving technologies such as drip irrigation. The economic effect from the use of the proposed technology has amounted to 10,000 tenge, the payback period was 4 seasons

The Human Innate Nature Based Medical Expert System for Self-diagnosis

This article considers the some results of the diagnostic text in the medical expert system, which based on integration of the “european” and “eastern” medicines. One of the proposed work directions is the study of the patient's questionnaire informative value, where the questions of a prototype with binary answers "YES-NO" are performed as corpuscular diagnostic testing (?TD). Then, in determining the real disease (diseases), there arises an actual task of selecting the most preferred CDT at each step of the diagnostic processes. CDT is an indivisible diagnostic procedure, which estimates one or more indicators of the condition of the body. In addition, using by real determination of human inborn innate nature gives opportunity to understand internal causes of chronic diseases. Also, for selection more probabilistic diseases have been applied the Bayesian approach and the conditional entropy

Instantaneous Frequency Estimation of Discrete Time Signals

The classical concept of instantaneous frequency, obtained by differentiating the instantaneous phase is one of the most used approaches. Nonlinear signals usually have nonlinear and nonstationary behavior. Revealing hidden properties of time discrete signals could be important in understanding specific phenomena or processes. This paper uses simulated signals to prove the utility of instantaneous frequency estimation in dedicated signal processing. The procedure is based on empirical mode decomposition of the signal into monocomponents. The Hilbert transform of these monocomponents reveals they instantaneous frequencies. There are certain mathematical requirements and limitations for signals that the proposed procedure could perform proper instantaneous frequency estimation. The used signals are artificial and the procedure is carried out in MATLAB

ANN Based Inverse Dynamic Model of the 6-PGK Parallel Robot Manipulator

This paper presents an inverse dynamic model estimation based on an artificial neural network of a complete new parallel robot manipulator prototype 6- PGK with six degrees of freedom, built at Petru Maior University of Tirgu-Mures. The model estimation of the parallel robot manipulator is performed with a feedforward artificial neural network. In the control engineering domain there are control structures that need the direct or inverse model of the process for ensuring the process control at the imposed performances. Usually, the determination of the direct/inverse mathematical model is a difficult or impossible task to be achieved. In these cases different non-parametric or parametric, off-line or on-line identification methods are used. A solution that may support the on-line parametric methods is represented by the feedforward artificial neural networks. By implementing feedforward artificial neural networks as a nonlinear autoregressive model with exogenous inputs, the authors investigate the possibility of choosing the optimum parameters that characterize the neural network so that it approximates as better as possible the model of the 6-PGK prototype robot. Finally an innovative algorithm is developed for obtaining the optimal configuration parameters set of the feedforward artificial neural network. The proposed algorithm helps in setting the optimal parameters of the neural network that offer high opportunities to provide satisfactory identification of the robot model. Experimental results obtained by a structure derived from the proposed solution demonstrate a good approximation related to the studied system, which is characterized by nonlinearities and high complexity

Molecular epidemiology of clinical isolates of Pseudomonas aeruginosa isolated from horses in Ireland

Clinical isolates (n = 63) of Pseudomonas aeruginosa obtained from various sites in 63 horses were compared using ERIC2 RAPD PCR to determine their genetic relatedness. Resulting banding patterns (n = 24 genotypes) showed a high degree of genetic heterogeneity amongst all isolates examined, indicating a relative non-clonal relationship between isolates from these patients, employing this genotyping technique. This study characterised 63 clinical isolates into 24 distinct genotypes, with the largest cluster (genotype E) accounting for 10/63 (15.9%) of the isolates. ERIC2 RAPD PCR proved to be a highly discriminatory molecular typing tool of P. aeruginosa in isolates recovered from horses. With the adoption of several controls to aid reproducibility, this technique may be useful as an alternative to PFGE, particularly in epidemiological investigations of outbreaks where speed may be a significant parameter. This is the first report of clonal heterogeneity amongst P. aeruginosa from horses and demonstrated that ERIC RAPD PCR is a rapid method for the examination of this species in horses, which may be useful in outbreak analysis

Development of a Training Bilingual Dictionary for Persons with Hearing Disabilities

Процесс обучения в вузах России студентов с ограниченными возможностями здоровья по слуху предполагает решение проблемы наиболее точного перевода для них значений учебных терминов русского вербального языка. В статье представлен сопоставительный анализ учебных и тематических словарей русского жестового языка, на основе которого авторами определен тип словаря для глухих и слабослышащих студентов, обучающихся в технических высших учебных заведениях, обоснованы критерии отбора языкового материала, структура словарной статьи. В результате исследования сделан вывод о том, что наиболее точное толкование терминов может обеспечиваться электронным учебным тематическим толковым двуязычным словарем, в котором названия тематических групп жестов совпадают с названиями учебных дисциплин, словарная статья будет содержать видео исполнения жеста, толкование жеста на русском вербальном и русском жестовом языках или на калькирующей жестовой речи, а также пример высказывания, включающего данный терминThe lack of specialist translators of Russian sign language in higher education institutions, the increasing number of students with hearing disabilities who study inclusively at the level of higher education, the need for this category of students in the most accurate translation of the meanings of educational terms for the full development of educational programs and the Russian verbal language made it possible formulate the problem of developing an educational bilingual dictionary for deaf and hard of hearing students. The aim of the work is to develop the concept of an educational thematic explanatory bilingual dictionary for students with hearing disabilities based on a comparative analysis of existing dictionaries of Russian sign language. A comparative analysis of the materials of the existing Russian Sign Language dictionaries made it possible to identify the advantages of each of the lexicographic sources, to determine the type of a new dictionary, its volume, the criteria for selecting language material and the specifics of its presentation in the developed resource. As a result of the study, it was concluded that the most accurate interpretation of terms can be provided by an electronic educational thematic explanatory bilingual dictionary. The electronic dictionary allows you to quickly find the necessary dictionary entry. The educational dictionary is designed to simultaneously master the material of the discipline and the Russian verbal language, so its volume should be 3–5 thousand dictionary entries. The names and number of thematic groups included in the resource correspond to the curriculum. The dictionary entry must contain a video of the gesture and its variants in Russian sign language or using the dactyl alphabet, an interpretation of the term in Russian verbal language, Russian sign language or calque sign speech, an example of a statement that includes this ter

Hemolytic-uremic syndrome associated with enterohemorrhagic Escherichia coli O26:H infection and consumption of unpasteurized cow's milk

n/

Metatarsophalangeal joint function during sprinting: A comparison of barefoot and sprint spike shod foot conditions

This is the authors' post print as accepted for publication in Journal of Applied Biomechanics. The published version is available at http://journals.humankinetics.com/jabThe metatarsophalangeal joint is an important contributor to lower limb energetics during sprint running. This study compared the kinematics, kinetics and energetics of the metatarsophalangeal joint during sprinting barefoot and wearing standardised sprint spikes. The aim of this investigation was to determine whether standard sprinting footwear alters the natural motion and function of the metatatarsophalangeal joint exhibited during barefoot sprint running. Eight trained sprinters performed maximal sprints along a runway, four sprints in each condition. Three dimensional high speed (1000 Hz) kinematic and kinetic data were collected at the 20 m point. Joint angle, angular velocity, moment, power and energy were calculated for the metatarsophalangeal joint. Sprint spikes significantly increase sprinting velocity (0.3 m/s average increase), yet limit the range of motion about the metatarsophalangeal joint (17.9 % average reduction) and reduce peak dorsiflexion velocity (25.5 % average reduction), thus exhibiting a controlling affect over the natural behaviour of the foot. However, sprint spikes improve metatarsophalangeal joint kinetics by significantly increasing the peak metatarsophalangeal joint moment (15 % average increase) and total energy generated during the important push-off phase (0.5 J to 1.4 J). The results demonstrate substantial changes in metatarsophalangeal function and potential improvements in performance-related parameters due to footwear