Aplicação de um sistema automatizado (ALES - Automated Land Evaluation System) na avaliação das terras das microrregiões de Chapecó e Xanxerê, Oeste Catarinense, para o cultivo de grãos

A avaliação de terras é o processo que permite estimar o uso potencial da terra com base em seus atributos. Grande variedade de modelos analíticos pode ser usada neste processo. No Brasil, os dois sistemas de avaliação das terras mais utilizados são o Sistema de Classificação da Capacidade de Uso da Terra e o Sistema FAO/Brasileiro de Aptidão Agrícola das Terras. Embora difiram em vários aspectos, ambos exigem o cruzamento de inúmeras variáveis ambientais. O ALES (Automated Land Evaluation System) é um programa de computador que permite construir sistemas especialistas para avaliação de terras. As entidades avaliadas pelo ALES são as unidades de mapeamento, as quais podem ser de caráter generalizado ou detalhado. A área objeto desta avaliação é composta pelas microrregiões de Chapecó e Xanxerê, no Oeste catarinense, e engloba 54 municípios. Os dados sobre os solos e sobre as características da paisagem foram obtidos no levantamento de reconhecimento dos solos do Estado, na escala de 1:250.000. O presente estudo desenvolveu o sistema especialista ATOSC (Avaliação das Terras do Oeste de Santa Catarina) e, na sua construção, incluiu-se a definição dos requerimentos dos tipos de utilização da terra, bem como foi feita a subseqüente comparação destes com os atributos de cada unidade de mapeamento. Os tipos de utilização da terra considerados foram: feijão, milho, soja e trigo, em cultivos solteiros, sob condições de sequeiro e de manejo característicos destas culturas no Estado. As informações sobre os recursos naturais compreendem os atributos climáticos, de solos e das condições da paisagem que interferem na produção destas culturas. Para cada tipo de utilização da terra foram especificados, no ATOSC, o código, o nome e seus respectivos requerimentos de uso da terra. Os requerimentos de cada cultura foram definidos por uma combinação específica das características das terras selecionadas, que determina o nível de severidade de cada um deles em relação à cultura. Estabeleceram-se quatro níveis de severidade que indicam aumento do grau de limitação ou diminuição do potencial para determinado tipo de uso da terra, a saber: limitação nula ou ligeira (favorável); limitação moderada (moderadamente favorável), limitação forte (pouco favorável); e limitação muito forte (desfavorável). Na árvore de decisão, componente básico do sistema especialista, são implementadas as regras que permitirão o enquadramento das terras em classes de adequação definidas, baseado na qualidade dos requerimentos de acordo com o tipo de uso. O ATOSC facilitou o processo de comparação entre as características das terras das microrregiões de Chapecó e Xanxerê e os requerimentos de uso considerados, por permitir efetuar automaticamente a avaliação das terras, reduzindo, assim, o tempo gasto neste processo. As terras das microrregiões de Chapecó e Xanxerê foram enquadradas, em sua maior parte, nas classes de adequação pouco favorável (3) e desfavorável (4) para os cultivos considerados. Os principais fatores limitantes identificados nestas microrregiões foram a fertilidade natural e o risco de erosão, para o feijão e o milho, e condições de mecanização e risco de erosão, para a soja e o trigo.

ProScan Automated Profilogram Reduction System, MLR-94-7, 1994

Kansas State University, with funding from the Kansas Department of Transportation (KDOT), has developed a computerized reduction system for profilograms produced by mechanical profilographs. The commercial version of the system (ProScan (trademark)) is marketed by Devore Systems, Inc. The system consists of an IBM Compatible PC 486SX33 computer or better, Epson LQ-570 printer, a Logitech Scanman 32 hand scanner system, a paper transport unit, and the ProScan software. The Scanner is not adaptable to IBM computers with the micro channel architecture. The Iowa DOT Transportation Centers could realize the following advantages by using ProScan: (1) Save about 5 to 8 staff hours of reduction and reporting time per Transportation Center per week for a Materials Technician 3 or 4 (the time savings would come during the busiest part of the season); (2) Reduce errors in reduction, transfer, and typing of profile values; (3) Increase the accuracy of the monitor results; and (4) Allow rapid evaluation of contractor traces when tolerance limits between monitor and certified results are exceeded.

Automated User Interface testing in Symbian Operating System

Tässä diplomityössä tutkitaan automatisoitua testausta ja käyttöliittymätestauksen tekemistä helpommaksi Symbian-käyttöjärjestelmässä. Työssä esitellään Symbian ja Symbian-sovelluskehityksessä kohdattavia haasteita. Lisäksi kerrotaan testausstrategioista ja -tavoista sekä automatisoidusta testaamisesta. Lopuksi esitetään työkalu, jolla testitapausten luominen toiminnalisuus- ja järjestelmätestaukseen tehdään helpommaksi. Graafiset käyttöliittymättuovat ainutlaatuisia haasteita ohjelmiston testaamiseen. Ne tehdään usein monimutkaisista komponenteista ja niitä suunnitellaan jatkuvasti uusiksi ohjelmistokehityksen aikana. Graafisten käyttöliittymien testaukseen käytetään usein kaappaus- ja toistotyökaluja. Käyttöliittymätestauksen testitapausten suunnittelu ja toteutus vaatii paljon panostusta. Koska graafiset käyttöliittymät muodostavat suuren osan koodista, voitaisiin säästää paljon resursseja tekemällä testitapausten luomisesta helpompaa. Käytännön osuudessa toteutettu projekti pyrkii tähän tekemällä testiskriptien luomisesta visuaalista. Näin ollen itse testien skriptikieltä ei tarvitse ymmärtää ja testien hahmottaminen on myös helpompaa.

Monitoring System Resources During Automated Testing in Symbian Operating System

Tässä diplomityössä esitellään ohjelmistotestauksen ja verifioinnin yleisiä periaatteita sekä käsitellään tarkemmin älypuhelinohjelmistojen verifiointia. Työssä esitellään myös älypuhelimissa käytettävä Symbian-käyttöjärjestelmä. Työn käytännön osuudessa suunniteltiin ja toteutettiin Symbian-käyttöjärjestelmässä toimiva palvelin, joka tarkkailee ja tallentaa järjestelmäresurssien käyttöä. Verifiointi on tärkeä ja kuluja aiheuttava tehtävä älypuhelinohjelmistojen kehityssyklissä. Kuluja voidaan vähentää automatisoimalla osa verifiointiprosessista. Toteutettu palvelin automatisoijärjestelmäresurssien tarkkailun tallentamalla tietoja niistä tiedostoon testien ajon aikana. Kun testit ajetaan uudestaan, uusia tuloksia vertaillaan lähdetallenteeseen. Jos tulokset eivät ole käyttäjän asettamien virherajojen sisällä, siitä ilmoitetaan käyttäjälle. Virherajojen ja lähdetallenteen määrittäminen saattaa osoittautua vaikeaksi. Kuitenkin, jos ne määritetään sopivasti, palvelin tuottaa hyödyllistä tietoa poikkeamista järjestelmäresurssien kulutuksessa testaajille.

Requisites for a successful implementation of an automated inventory replenishment system

Tutkimuksen tavoitteena oli selvittää automaattisten tilausjärjestelmien onnistuneen käyttöönottoon taustalla vaikuttavia tekijöitä vähittäiskaupan toimialalla ja etsiä ratkaisua kyseisten järjestelmien onnistuneeseen käyttöönottoon tässä ympäristössä. Tutkimus analysoi yli sadan kaupan järjestelmän käyttöönottoa ja käyttöönoton tuloksia. Tutkimusta varten haastateltiin niin yhtiön sisältä kuin ulkopuoleltakin mukana olleita hankintajärjestelmän ja jalkautuksen asiantuntijoita. Tämän lisäksi järjestelmän käyttöönottaneisiin kauppoihin lähetettiin kyselyt, joita analysoitiin ryhmissä automaattisen tilausjärjestelmän tietojen pohjalta. Työn tuloksena pystyttiin tunnistamaan tietty joukko taustatekijöitä, jotka tulee ottaa käyttöönotossa huomioon sekä saatuihin tutkimustuloksiin perustuen kehitettiin malli vastaavanlaisten järjestelmien käyttöönotolle vähittäiskaupan alalle.

Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor

The development of new procedures for quickly obtaining accurate information on the physiological potential of seed lots is essential for developing quality control programs for the seed industry. In this study, the effectiveness of an automated system of seedling image analysis (Seed Vigor Imaging System - SVIS) in determining the physiological potential of sun hemp seeds and its relationship with electrical conductivity tests, were evaluated. SVIS evaluations were performed three and four days after sowing and data on the vigor index and the length and uniformity of seedling growth were collected. The electrical conductivity test was made on 50 seed replicates placed in containers with 75 mL of deionised water at 25 ºC and readings were taken after 1, 2, 4, 8 and 16 hours of imbibition. Electrical conductivity measurements at 4 or 8 hours and the use of the SVIS on 3-day old seedlings can effectively detect differences in vigor between different sun hemp seed lots.

SAGA: System for Automated Geographical Analysis [abstract]

SAGA (System for Automated Geographic Analysis) es un SIG libre con capacidades para el manejo y análisis de información tanto vectorial como ráster, con un especial enfoque en esta última. Asimismo, es su enfoque analítico el que constituye su característica más destacable, siendo una herramienta de primer orden para la extracción de información a partir de todo tipo de capas de datos georeferenciados. (...)

Evaluating the effects of tannins on the extent and rate of in vitro measured gas and methane production using the Automated Pressure Evaluation System (APES)

An in vitro study was conducted to investigate the effect of tannins on the extent and rate of gas and methane production, using an automated pressure evaluation system (APES). In this study three condensed tannins (CT; quebracho, grape seed and green tea tannins) and four hydrolysable tannins (HT; tara, valonea, myrabolan and chestnut tannins) were evaluated, with lucerne as a control substrate. CT and HT were characterised by matrix assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF-MS). Tannins were added to the substrate at an effective concentration of 100 g/kg either with or without polyethylene glycol (PEG6000), and incubated for 72 h in pooled, buffered rumen liquid from four lactating dairy cows. After inoculation, fermentation bottles were immediately connected to the APES to measure total cumulative gas production (GP). During the incubation, 11 gas samples were collected from each bottle at 0, 1, 4, 7, 11, 15, 23, 30, 46, 52 and 72 h of incubation and analysed for methane. A modified Michaelis-Menten model was fitted to the methane concentration patterns and model estimates were used to calculate the total cumulative methane production (GPCH4). GP and GPCH4 curves were fitted using a modified monophasic Michaelis-Menten model. Addition of quebracho reduced GP (P=0.002), whilst the other tannins did not affect GP. Addition of PEG increased GP for quebracho (P=0.003), valonea (P=0.058) and grape seed tannins (P=0.071), suggesting that these tannins either inhibited or tended to inhibit fermentation. Addition of quebracho and grape seed tannins also reduced (P≤0.012) the maximum rate of gas production, indicating that microbial activity was affected. Quebracho, valonea, myrabolan and grape seed decreased (P≤0.003) GPCH4 and the maximum rate (0.001≤ P≤ 0.102) of CH4 production. Addition of chestnut, green tea and tara tannins did not affect total gas nor methane production. Valonea and myrabolan tannins have most promise for reducing methane production as they had only a minor impact on gas production.

Automated two-dimensional separation flow system with electrochemical preconcentration, stripping, capillary electrophoresis and contactless conductivity detection for trace metal ion analysis

This paper describes the automation of a fully electrochemical system for preconcentration, cleanup, separation and detection, comprising the hyphenation of a thin layer electrochemical flow cell with CE coupled with contactless conductivity detection (CE-C(4)D). Traces of heavy metal ions were extracted from the pulsed-flowing sample and accumulated on a glassy carbon working electrode by electroreduction for some minutes. Anodic stripping of the accumulated metals was synchronized with hydrodynamic injection into the capillary. The effect of the angle of the slant polished tip of the CE capillary and its orientation against the working electrode in the electrochemical preconcentration (EPC) flow cell and of the accumulation time were studied, aiming at maximum CE-C(4)D signal enhancement. After 6 min of EPC, enhancement factors close to 50 times were obtained for thallium, lead, cadmium and copper ions, and about 16 for zinc ions. Limits of detection below 25 nmol/L were estimated for all target analytes but zinc. A second separation dimension was added to the CE separation capabilities by staircase scanning of the potentiostatic deposition and/or stripping potentials of metal ions, as implemented with the EPC-CE-C(4)D flow system. A matrix exchange between the deposition and stripping steps, highly valuable for sample cleanup, can be straightforwardly programmed with the multi-pumping flow management system. The automated simultaneous determination of the traces of five accumulable heavy metals together with four non-accumulated alkaline and alkaline earth metals in a single run was demonstrated, to highlight the potentiality of the system.

System for Automated Deduction (SAD): Linguistic and Deductive Peculiarities

In this paper a state of the art of a system of automated deduction called SAD is described . An architecture of SAD corresponds well to a modern vision of the Evidence Algorithm programme, initiated by Academician V.Glushkov.

Newly Automated System For Integrated Assessment Of The Conditions Of Underwater Gas Pipelines

An underwater gas pipeline is the portion of the pipeline that crosses a river beneath its bottom. Underwater gas pipelines are subject to increasing dangers as time goes by. An accident at an underwater gas pipeline can lead to technological and environmental disaster on the scale of an entire region. Therefore, timely troubleshooting of all underwater gas pipelines in order to prevent any potential accidents will remain a pressing task for the industry. The most important aspect of resolving this challenge is the quality of the automated system in question. Now the industry doesn't have any automated system that fully meets the needs of the experts working in the field maintaining underwater gas pipelines. Principle Aim of this Research: This work aims to develop a new system of automated monitoring which would simplify the process of evaluating the technical condition and decision making on planning and preventive maintenance and repair work on the underwater gas pipeline. Objectives: Creation a shared model for a new, automated system via IDEF3; Development of a new database system which would store all information about underwater gas pipelines; Development a new application that works with database servers, and provides an explanation of the results obtained from the server; Calculation of the values MTBF for specified pipelines based on quantitative data obtained from tests of this system. Conclusion: The new, automated system PodvodGazExpert has been developed for timely and qualitative determination of the physical conditions of underwater gas pipeline; The basis of the mathematical analysis of this new, automated system uses principal component analysis method; The process of determining the physical condition of an underwater gas pipeline with this new, automated system increases the MTBF by a factor of 8.18 above the existing system used today in the industry.

Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Candida spp.: manual identification (reference method) and automated identification (Vitek system platform)

Yeasts are becoming a common cause of nosocomial fungal infections that affect immunocompromised patients. Such infections can evolve into sepsis, whose mortality rate is high. This study aimed to evaluate the viability of Candida species identification by the automated system Vitek-Biomerieux (Durham, USA). Ninety-eight medical charts referencing the Candida spp. samples available for the study were retrospectively analyzed. The system Vitek-Biomerieux with Candida identification card is recommended for laboratory routine use and presents 80.6% agreement with the reference method. By separate analysis of species, 13.5% of C. parapsilosis samples differed from the reference method, while the Vitek system wrongly identified them as C. tropicalis, C. lusitaneae or as Candida albicans. C. glabrata presented a discrepancy of only one sample (25%), and was identified by Vitek as C. parapsilosis. C. guilliermondii also differed in only one sample (33.3%), being identified as Candida spp. All C. albicans, C. tropicalis and C. lusitaneae samples were identified correctly.

Comparative growth of trichoderma strains in different nutritional sources, using bioscreen c automated system

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor

The development of new procedures for quickly obtaining accurate information on the physiological potential of seed lots is essential for developing quality control programs for the seed industry. In this study, the effectiveness of an automated system of seedling image analysis (Seed Vigor Imaging System - SVIS) in determining the physiological potential of sun hemp seeds and its relationship with electrical conductivity tests, were evaluated. SVIS evaluations were performed three and four days after sowing and data on the vigor index and the length and uniformity of seedling growth were collected. The electrical conductivity test was made on 50 seed replicates placed in containers with 75 mL of deionised water at 25 ºC and readings were taken after 1, 2, 4, 8 and 16 hours of imbibition. Electrical conductivity measurements at 4 or 8 hours and the use of the SVIS on 3-day old seedlings can effectively detect differences in vigor between different sun hemp seed lots.