942 resultados para Operational variables
Resumo:
ABSTRACT Climatic conditions stimulates the cambial activity of plants, and cause significant changes in trunk diameter growth and wood characteristics. The objective of this study was to evaluate the influence of climate variables in the diameter growth rate of the stem and the wood density of Eucalyptus grandis trees in different classes of the basal area. A total of 25 Eucalyptus trees at 22 months of age were selected according to the basal area distribution. Dendrometer bands were installed at the height of 1.30 meters (DBH) to monitor the diameter growth every 14 days, for 26 months. After measuring growth, the trees were felled and wood discs were removed at the DBH level to determine the radial density profile through x-ray microdensitometry and then re-scale the average values every 14 days. Climatic variables for the monitoring period were obtained and grouped every 14 days. The effect of the climate variables was determined by maximum and minimum growth periods in assessing trunk growth. These growth periods were related with precipitation, average temperature and relative air humidity. The re-scaled wood density values, calculated using the radial growth of the tree trunks measured accurately with steel dendrometers, enabled the determination of the relationship of small changes in wood density and the effect of the climatic variations and growth rate of eucalyptus tree trunks. A high sensitivity of the wood density to variation in precipitation levels was found.
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The use of fertilizers and solid amendments in agriculture generates special interest for their effect on crop productivity, as well as for their environmental impact. The efficient use of these products demands knowing their physical and mechanical properties, the storing conditions effect and the operational characteristics of the metering systems used in the fertilizing equipment. In this context, the present study was developed with the purpose of evaluating the operational characteristics of different fertilizing metering systems and to determine the adequate metering system-product operational parameters, using powder lime, powder gypsum, granular 10-30-10 (N-P-K), and granular urea. Operational differences were established among four types of commercial fertilizer metering systems, including wire auger, star-shaped feed wheel, feed screw and ridged traction wheel. The study found that the unloading rate depends directly on the fertilizer metering system's rotating speed and is affected by particle size, repose angle, bulk density and moisture content of the applied product. The wire auger and star-shaped feed wheel metering systems were adequate for the distribution of powder products and the feed screw for granulated fertilizers. Furthermore, theoretical and experimental characteristic equations were established, defining curves for calibration and handling of the products plus the rotating speed range in which a better distributing behavior was achieved.
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The increasing demand of consumer markets for the welfare of birds in poultry house has motivated many scientific researches to monitor and classify the welfare according to the production environment. Given the complexity between the birds and the environment of the aviary, the correct interpretation of the conduct becomes an important way to estimate the welfare of these birds. This study obtained multiple logistic regression models with capacity of estimating the welfare of broiler breeders in relation to the environment of the aviaries and behaviors expressed by the birds. In the experiment, were observed several behaviors expressed by breeders housed in a climatic chamber under controlled temperatures and three different ammonia concentrations from the air monitored daily. From the analysis of the data it was obtained two logistic regression models, of which the first model uses a value of ammonia concentration measured by unit and the second model uses a binary value to classify the ammonia concentration that is assigned by a person through his olfactory perception. The analysis showed that both models classified the broiler breeder's welfare successfully.
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Potato is an important crop plant throughout the world. Harvesting is a fundamental step in its production system. Maybe, it is the most complex and expensive operation. Thus, the objective of this work was to compare the cost of the mechanized and semi-mechanized harvest, the operational capacity and the production losses during the potato harvest process. The work was accomplished in a commercial farming, cultivated under pivot system, in the municipal district of Perdizes - MG, Brazil. A completely randomized design with two treatments was used: mechanized and semi-mechanized harvest. The mechanized harvest used a self-propelled harvester. In the semi-automated harvest, a digger mounted on tractor was used and the potato was manually harvested. It was concluded that the cost of mechanized harvest was 49.03% lower than the cost of semi-mechanized harvest. On average, the harvester had a work for 23 workers in manual harvest. Mechanized harvest showed losses of 2.35% of potato yield, while the semi-mechanized harvest showed losses of 6.32%.
Resumo:
Thermal and air conditions inside animal facilities change during the day due to the influence of the external environment. For statistical and geostatistical analyses to be representative, a large number of points spatially distributed in the facility area must be monitored. This work suggests that the time variation of environmental variables of interest for animal production, monitored within animal facility, can be modeled accurately from discrete-time records. The aim of this study was to develop a numerical method to correct the temporal variations of these environmental variables, transforming the data so that such observations are independent of the time spent during the measurement. The proposed method approached values recorded with time delays to those expected at the exact moment of interest, if the data were measured simultaneously at the moment at all points distributed spatially. The correction model for numerical environmental variables was validated for environmental air temperature parameter, and the values corrected by the method did not differ by Tukey's test at 5% significance of real values recorded by data loggers.
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The aim of this study was to evaluate the application possibility of tabular CUSUM control charts in the quality control of chemical variables in surface water. It was performed bibliographic and field research to collect water samples from 2003 to 2009, totaling 30 samples, some monthly and others semi-annual in order to observe the variables that regulate water quality. It was found that these charts may be applied to control the quality of river water; showing to be effective in the perception of changes during the process, especially for small samples (n=1) which there is no repetition as in this research. It was also concluded that the Mandurim River does not presents significant levels of pollution.
Resumo:
The study of spatial variability of soil and plants attributes, or precision agriculture, a technique that aims the rational use of natural resources, is expanding commercially in Brazil. Nevertheless, there is a lack of mathematical analysis that supports the correlation of these independent variables and their interactions with the productivity, identifying scientific standards technologically applicable. The aim of this study was to identify patterns of soil variability according to the eleven physical and seven chemical indicators in an agricultural area. It was used two multivariate techniques: the hierarchical cluster analysis (HCA) and the principal component analysis (PCA). According to the HCA, the area was divided into five management zones: zone 1 with 2.87ha, zone 2 with 0.8ha, zone 3 with 1.84ha, zone 4 with 1.33ha and zone 5 with 2.76ha. By the PCA, it was identified the most important variables within each zone: V% for the zone 1, CTC in the zone 2, levels of H+Al in the zone 4 and sand content and altitude in the zone 5. The zone 3 was classified as an intermediate zone with characteristics of all others. According to the results it is concluded that it is possible to separate into groups (management zones) samples with the same patterns of variability by the multivariate statistical techniques.
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Citrus orchards are very important in Brazil, especially in São Paulo State, where occupy an area of 600,000 ha approximately. To identify sustainability degree of citrus production system, an energy analysis allows evaluating efficiency of direct and indirect applied inputs. Thus, this study aimed to evaluate citrus production system under energetic point of view, in which invested energy is paid back with citrus production; being compared within three scenarios for operational field efficiency. As result, by sensitivity analysis was determined that fuel was the main energy demander, followed by pesticides and fertilizers. In operational work capacity analysis, all combinations between efficiency (minimum, typical and maximum) and yield levels became positive in the seventh year, except for the combination minimum efficiency and 10 % less yield, positive in the eighth year. The best combination (maximum efficiency and 10 % more yield) has promoted investment payoff around the sixth and seventh year. By this study, it is possible to determine the total energy demand to produce citrus and indentify the applied inputs that need more attention by the decision-makers. Labor and seedlings can be ommited for further studies with citrus, since they were irrelevant. Management of agricultural machinery may pose an important role on decreasing environmental impact of citrus production.
Resumo:
Sugarcane has a significant role on Brazilian agribusiness economy. The harvesting cane is considered as one of the most important operations of the process for it has to attend the raw material demanded by the sugar mill in quality and a competitive cost. The objective of this work it is it of analyzing, of systemic way, the variables influence on economical and operational performance in sugarcane mechanized harvesting process for sizing of machines. For this purpose a model called "ColheCana", was developed in a spreadsheet and in a programming language. The results showed that the field efficiency and harvester´s initial value are variables of great impact in the cost and that there is a maximum area that one equipment can attend and for this area the cost is minimum.
Resumo:
The objective of this study was to evaluate the meteorological variables, water deficiency, growth, and agro-industrial yield of sugarcane varieties: RB72454, RB863129, RB867515, RB92579, RB93509, RB931003, RB951541, and RB971755, in rainfed crop in two harvests in the Rio Largo-AL region. The meteorological variables were obtained in an automatic station and water balance was done by Thornthwaite & Mather method. During the study period, the air temperature ranged from 16.6 to 35.9 ºC. In the first production cycle rained 1,806 mm and the crop evapotranspiration was 1,775 mm. In the second cycle, the rainfall totaled 1,632 mm and the crop evapotranspiration was 1,290 mm. The average water excess of two production cycles was 689 mm and the water deficit totaled 665 mm. The average agricultural productivity in the plant was 86.8 t ha-1, in the first ratoon was 75.2 t ha-1 and the agro-industrial yield average was 12.9 and 10.9 tons of sugar per hectare in the plant and first ratoon, respectively. The air temperature was not limiting to the growth of sugarcane and the rainfall was higher than the crop evapotranspiration, but due to poor distribution of the rains there was water deficit. The most productive varieties were RB93509, RB92579, and RB863129.
Resumo:
ABSTRACT Precision agriculture (PA) allows farmers to identify and address variations in an agriculture field. Management zones (MZs) make PA more feasible and economical. The most important method for defining MZs is a fuzzy C-means algorithm, but selecting the variable for use as the input layer in the fuzzy process is problematic. BAZZI et al. (2013) used Moran’s bivariate spatial autocorrelation statistic to identify variables that are spatially correlated with yield while employing spatial autocorrelation. BAZZI et al. (2013) proposed that all redundant variables be eliminated and that the remaining variables would be considered appropriate on the MZ generation process. Thus, the objective of this work, a study case, was to test the hypothesis that redundant variables can harm the MZ delineation process. BAZZI This work was conducted in a 19.6-ha commercial field, and 15 MZ designs were generated by a fuzzy C-means algorithm and divided into two to five classes. Each design used a different composition of variables, including copper, silt, clay, and altitude. Some combinations of these variables produced superior MZs. None of the variable combinations produced statistically better performance that the MZ generated with no redundant variables. Thus, the other redundant variables can be discredited. The design with all variables did not provide a greater separation and organization of data among MZ classes and was not recommended.
Resumo:
This master’s thesis aims to examine the relationship between dynamic capabilities and operational-level innovations. In addition, measures for the concept of dynamic capabilities are developed. The study was executed in the magazine publishing industry which is considered favourable for examining dynamic capabilities, since the sector is characterized by rapid change. As a basis for the study and the measure development, a literary review was conducted. Data for the empirical section was gathered by a survey targeted to chief-editors of Finnish consumer magazines. The relationship between dynamic capabilities and innovation was examined by multiple linear regression. The results indicate that dynamic capabilities have effect on the emergence of radical innovations. Environmental dynamism’s effect on radical innovations was not detected. Also, dynamic capabilities’ effect on innovation was not greater in turbulent operating environment.
Resumo:
Kirjallisuudesta välittyy useitten vuosikymmenten ajalta tietämys sotilaslentämisen fyysisestä kuormittavuudesta. G-voimista aiheutuva kuormittuminen näyttää johtavan joko akuutisti tai pitkäaikaisesti lentäjän tuki- ja liikuntaelimistön toimintakykyä alentaviin ongelmiin. Erityisesti on selvitetty niskan alueen työperäisten ongelmien syntyä, jolloin on havaittu lentotoiminnan fyysisen kuormittavuuden johtavan ennenaikaiseen rakenteelliseen rappeumaan, haittaa aiheuttavan oireen lisäksi. Kansainvälisen kirjallisuuden mukaan ammatista johtuvista eli työperäisistä oireista kärsii vähintään 2/3 kaikista sotilaslentäjistä. Tietyin edellytyksin lentäjien kaularangan alueen rappeuma on Suomessa hyväksytty ammattitaudiksi vuodesta 1995 alkaen. On arveltu, että hyvästä fyysisestä suorituskyvystä olisi apua tuki- ja liikuntaelin (TULE)-oireilun ennaltaehkäisemisessä ja toimintakyvyn ylläpitämisessä. Tutkimusnäyttö tästä on lentäjien osalta ollut toistaiseksi erittäin niukkaa. Tämän tutkimuksen tavoitteena oli selvittää suomalaisten sotilaslentäjien työperäisen TULE-oireilun esiintyvyyttä, oireista koetun haitan tasoa, lentäjien fyysisen kunnon tasoja virkauran aikana ja näitten kaikkien välisiä yhteyksiä sekä työperäisen TULE-oireen merkitystä sotilaan toimintakykyyn. Tutkimus jakautui kahteen osaan. Poikkileikkauksena lentotoimintaperäisiä TULE-oireita kartoitettiin kyselytutkimuksella, johon vastasi vuositarkastuksen yhteydessä 267 lentäjää vuosina 2004-2005. Joukosta poimittiin ne 195 lentäjää, jotka olivat suorittaneet yleissotilaalliset kuntotestit puolen vuoden sisällä kyselyyn vastaamisesta, ja mitatut testitulokset yhdistettiin kyselytutkimusaineistoon. Tässä aineistossa toteutettiin fyysisesti erilailla kuormittuvien lentäjäryhmien välisiä vertailuja fyysisen kunnon, TULE-esiintyvyyden ja koetun haitan suhteen. Poikkileikkausosassa tutkittiin myös lentäjien virkauran aikaisia tasoeroja yleissotilaallisissa kuntotesteissä (n=195) verrattuna muihin suomalaisiin sotilaisiin. Lisäksi (N=289) selvitettiin ilmailulääketieteellisen tarkastuksen yhteydessä mitattuja, ns. ammatillisia fyysisiä erityisominaisuuksia eri ikäluokissa. Pitkittäisosassa seurattiin 67:n Hawk-suihkuharjoituskoneella aloittaneen Ilmavoimien sotilaslentäjien lentouran aikaista lentotoimintaperäisten TULE-oireitten esiintyvyyttä vuosien 1996 ja 2008 välillä. Lisäksi tutkittiin lentäjien kontakteja työterveyshuoltoon, oireen aiheuttamaa lentokelvottomuusaikaa, työn kuormituksen kumulatiivista kertymää lentotuntien lisääntyessä ja TULE-oireiden esiintyvyyden kannalta kriittisiä ajankohtia lentouran aikana. Tulokset osoittivat, että kaikki seurannassa olleet suomalaiset sotilaslentäjät kokivat jonkinasteisen lentotoimintaperäisen TULE-oireen uransa aikana. Niskan ammattitautiluokituksen tasoisen ongelman esiintyvyys oli 4 % koko lentäjäpopulaatiosta ja 10 % suihkuharjoituskonevaiheen jo läpäisseistä, mutta vastaavanlaisia TULE-ongelmia, ilman riittävää näyttöä ammattitaudista, esiintyi lähes joka kolmannella sotilaslentäjällä. Alaselän osalta lentäjät oireilivat lähes samassa määrin, mutta näitä oireita ei toistaiseksi ole mahdollista määrittää ammattitaudiksi. Lentäjät kävivät varsin vähän valittamassa oireistaan työterveyshuoltoon, jossa käytäneen vasta silloin, kun oire jo selvästi heikentää työtehtävissä vaadittavaa toimintakykyä. Merkittävin lentotoimintaperäisten oireitten esiintymisen kasvu ajoittui 200 Hawk-lentotunnin kohdalle, jolloin koneella saavutetaan eräänlainen optimaalinen G-indeksi eli taktisen liikehtelyn G-tasoylitysten vaihtelu. Tämän jälkeen lentäjät ovat erityisen alttiina akuuteille lennonaikaisille TULE-ongelmille. Oireitten esiintyminen kasvoi eksponentiaalisesti noin 600 lentotuntiin asti. Monimuuttujamallien mukaan työperäisen TULE-oireen esiintyvyysriskiä vähensivät alaraajojen hyvä motoriikka, korkeat valintapisteet ja korkea kaulan fleksion voimataso maksimaalisessa isometrisessä testissä. Yleissotilaallisilla kuntotasoilla ei ollut yhteyttä oireiluun, mutta lihaskunnoltaan voimakkaimmat lentäjät kärsivät tilastollisesti merkittävästi vähemmän haittaa lentotoimintaperäisistä TULE-oireistaan. Yleissotilaallisissa kuntotesteissä lentäjät olivat parempia kuin muut suomalaiset sotilaat. Aktiivisimman lentouran aikana, 30-40-vuotiaina, lentäjien fyysinen suorituskyky oli normaaliväestöön nähden vain keskimääräinen ja urheilijoihin nähden keskimääräistä heikompi. Käytännössä lentäjät eivät kyenneet ylläpitämään valintavaiheen fyysistä suorituskykyään edes kadettivaiheen loppuun asti. Huomattavaa oli lisäksi, että aktiivisen lentouran päätyttyä fyysinen kunto näytti jossain määrin palautuvan kohti lähtötasoa lentäjien ikääntymisestä huolimatta. Lentäjien valintavaiheen aikana mitatun fyysisen suorituskyvyn tason säilyminen aktiivisen lentopalveluksen loppuun asti vaatisi lentäjien fyysisen toimintakyvyn ylläpidon ja kehittämisen tehostamista koulutuksen ja työuran eri vaihessa. Tähän tavoitteeseen nähden Ilmavoimien fyysisen kasvatuksen järjestelyt vaikuttivat alimitoitetuilta. Operatiivisesti huolestuttavaa oli Ilmavoimien ohjaajien fyysisen suorituskyvyn heikentyminen silloin, kun heidän taitojensa puolesta olisi pitänyt olla suorituskykyisimpiä taistelutehtäviinsä. Myös lentäjän terveyttä ja toimintakykyä pitäisi pystyä reaaliaikaisemmin seuraamaan koko lentouran aikana. Ilmavoimille suositellaan moniammatillista lähestymistä sotilaslentäjien toimintakyvyn ylläpitämiseen ja terveysriskien hallintaan yhdessä liikunnan, työterveyshuollon, lentoturvallisuusalan ja operatiivisen suunnittelun asiantuntijoitten kanssa. Lisäksi suositellaan avoimempaa ja eettisesti kestävämpää suhtautumista ammattiin liittyvien terveysongelmien kuvaamiseen sekä fyysisen kunnon kysymyksiin jo lentäjien rekrytointivaiheessa.
Resumo:
In this work mathematical programming models for structural and operational optimisation of energy systems are developed and applied to a selection of energy technology problems. The studied cases are taken from industrial processes and from large regional energy distribution systems. The models are based on Mixed Integer Linear Programming (MILP), Mixed Integer Non-Linear Programming (MINLP) and on a hybrid approach of a combination of Non-Linear Programming (NLP) and Genetic Algorithms (GA). The optimisation of the structure and operation of energy systems in urban regions is treated in the work. Firstly, distributed energy systems (DES) with different energy conversion units and annual variations of consumer heating and electricity demands are considered. Secondly, district cooling systems (DCS) with cooling demands for a large number of consumers are studied, with respect to a long term planning perspective regarding to given predictions of the consumer cooling demand development in a region. The work comprises also the development of applications for heat recovery systems (HRS), where paper machine dryer section HRS is taken as an illustrative example. The heat sources in these systems are moist air streams. Models are developed for different types of equipment price functions. The approach is based on partitioning of the overall temperature range of the system into a number of temperature intervals in order to take into account the strong nonlinearities due to condensation in the heat recovery exchangers. The influence of parameter variations on the solutions of heat recovery systems is analysed firstly by varying cost factors and secondly by varying process parameters. Point-optimal solutions by a fixed parameter approach are compared to robust solutions with given parameter variation ranges. In the work enhanced utilisation of excess heat in heat recovery systems with impingement drying, electricity generation with low grade excess heat and the use of absorption heat transformers to elevate a stream temperature above the excess heat temperature are also studied.