The aims of this research are focused on the construction of intellectualized equipments for people with moving disabilities to help them in sustainable integration into environment. The problem is to reveal main components of diagnosis of disabled persons, as well as to develop decision making models which are integrated into the control mechanisms of the special equipments, that are assigned to the class of bio‐robots. This paper analyses the approach of the construction of such type of bio‐robots with possibilities to integrate different knowledge representation techniques for the development of the reinforcement framework with multiple cooperative agents for the recognition of the diagnosis of emotional situation of disabled persons. Large‐scale of multidimensional recognitions of emotional diagnosis of disabled persons often generate a large amount of multi‐dimensional data with complex recognition mechanisms, based on the integration of different knowledge representation techniques and complex inference models. Sensors can easily record primary data; however, the recognition of abnormal situations, cauterisation of emotional stages and resolution for certain type of diagnosis is an oncoming issue for bio‐robot constructors. The research results present the development of multi‐layered model of this framework with the integration of the evaluation of fuzzy neural control of speed of two wheelchair type robots working in real time by providing moving support for disabled individuals. An approach for representation of reasoning processes, using fuzzy logical Petri nets for evaluation of physiological state of individuals is presented. The reasoning is based on recognition of emotions of persons during their activities. Santrauka Šio mokslinio tyrimo tikslai yra nukreipti į intektualizuotų įrenginių, skirtų žmonėms su judėjimo negalia ir užtikrinančių jų būklės stebėseną ir darnaus judėjimo valdymo aplinkoje galimybes, kūrimą. Sprendžiami uždaviniai skirti neįgaliųjų diagnozės pagrindinių komponenčių tyrimams, sudarant lanksčius sprendimų priėmimo modelius, integruojamus į specialių įrenginių valdymo mechanizmus, kurie priskiriami biorobotų klasei. Straipsnyje pateikiami metodai, kaip konstruoti tokio tipo biorobotų sistemas, leidžiant skirtingų žinių vaizdavimo priemones integruoti į sistemą, kad būtų sukurta daugelio agentų bendradarbiavimo aplinka, skirta neįgaliųjų emocinės būklės diagnuozei analizuoti. Neįgaliųjų diagnozės procesams formalizuoti reikia kelių metodų, kurie grindžiami skirtingais žinių vaizdavimo formalizmais, skirtingų matų parametrų atpažinimo algoritmais. Sensorinės sistemos fiksuoja pirminius stebėsenos duomenis, tačiau nenormalioms situacijos būklėms atpažinti reikia sudėtingų išvedimo metodų, taikant lanksčias neuroninių tinklų valdymo priemones. Tyrimo rezultatai pateikiami per daugelio lygmenų darbo infrastruktūrą, kuri integruoja miglota logika grindžiamų neuroninių tinklų valdymo būdus, taikant juos neįgaliojo vežimėlio valdymo konstrukcijoms, kurios leidžia valdyti vežimėlio judėjimą automatiškai valdoma trajektorija. Miglota logika grindžiamų Petri tinklų taikymas leido pademonstruoti galimybes atpažinti neįgaliojo psichologinės būsenos pokyčius ir vertinti juos laike stebint pacientus skirtingą laiką.
360 and PDP-11), such as single-stream batch processing and information input by punched cards. As time Crop growth models are usually split into two opposite groups: passed, experience was gained and more advanced simucomplex comprehensive and simplified applied. The objective of this lation systems appeared in the early 1980s (Poluektov paper is to show how the different models can be used together to form an integrated crop modeling system. The software engineering et al., 1979; Galyamin, 1980; Kan, 1981; Dobrachev, methods that are employed include the needs of potential users in 1982; Polevoy, 1988). the system requirements. As a specific example, the process of devel-A simulation system, SIMONA (System for Imitation opment and implementation of an integrated crop simulation system, and MOdeling of Nonstationary processes in Agroeco-DIASPORA (DIAlog Simulator and PredictOr for Research in Agrisystem), developed at the Agrophysical Research Insticulture), is described. The DIASPORA system is primarily designed tute in Leningrad (Poluektov et al., 1979) was the most to make more effective use of the field treatment data collected at the advanced of these systems and still continues to influ-Lithuanian Institute of Agriculture (LIA) and to allow a multitasking ence developments in this area, including the DIASapplication of crop growth and development models. To achieve these PORA system. It was the first simulation system detasks, a simulation environment has been developed that includes the signed to support a block structure for complex models. complex simulation model, model database, multilingual user inter-Every block of the model representing a particular proface, and the set of simplified models for particular applications. Three local research stations of the LIA-Traku Voke (south-eastern cess in the agroecosystem had a standard specification, Lithuania), Dotnuva (central Lithuania), and Vezhaichai (western and therefore, a well-defined interface with other blocks Lithuania)-serve as sources of experimental information, and thereand the simulation system itself. A special language, fore, as sites for further implementation of the system. The models Klaipeda Univ., Faculty of Nat. Sci. and Mathematics, H. Manto 84, and its implementation procedures are presented below.
The study investigated the cultivars of non-obligatorily requiring vernalization plant Festulolium braunii and assessed the influence of non-hardy reproductive and hardy vegetative structures on overwintering effect. The study was conducted taking into account systemic relations between these types of structures. The results show the cultivars differ according to the percentage of headed and overwintered plants, when the cultivars with the most abundant heading -'Felopa' and 'Sulino' -are also better at overwintering. The positive correlation between heading and overwintering characteristics was also observed, what seemed to be a rather new finding. It can be explained by systemic effect: non-hardy later reproductive structures induce the post-generative regrowth of vegetative shoots, which during shorter days halt development and become potentially hardy. More detailed interpretation is also provided including discussion of causal mechanisms of the detected phenomenon. The authors suppose that these mechanisms constitute a survival strategy for such perennial plants. The observed late heading which represents reproductive structures could be applied in plant breeding as a marker of winter-hardiness among perennial grass plants which non-obligatorily demand vernalization.
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