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  • Authors: 
    Leslie R. Adrian; Donato Repole; Leonids Ribickis;
    Publisher: IEEE

    The purpose of this paper is to address current issues in industrial robotics applications and to address also the current trends occurring in the industry regarding smaller mobile units in factory and external manufacturing processes relating to the battery powering of robotics devices. Specifically, we shall concentrate the efforts herein on “Mobile Industrial Robotics”. The paper touches briefly on problems associated with both definitions of industrial robots and problems associated with power supply sources of mobile industrial robotics and provides an outline of future work with appropriate solution for smaller mobile industrial mobile units operating in the variable input range of 24V to 48v and outputs in the range of 3.3V to 12V @ 20A in three stages. The project required a fast, turn-key solution which did not allow for a “design from scratch” solution and so detailed herein is suitable design produced in other sectors and relating the details, design process, modelling and examination of a successful and efficient high current DC to DC switch mode power supply. Parameters have been adjusted to our own preferences in the design considerations regarding “Industrial Service Hybrids” [1] (ISH)1. Other design issues are under assessment and shall be included as the project moves forward.

  • Publication . Article . Conference object . 2015
    Open Access English
    Authors: 
    Ļubova Komlajeva; Aleksandrs Adamovics;
    Publisher: Rezekne Academy of Technologies

    Flax is cultivated on small areas in Latvia. Flax gives dual-purpose production – fibre and seeds. Latvian flax has a high fibre and seed quality. The quantity of flax fibre and seed yield depends on many factors. Several qualitative and quantitative traits, such as technical stem length, resistance to lodging, vegetation period, yield of straw and seeds, fibre and oil content and quality were evaluated. For the further development of Latvian economy flax varieties and hybrids of Latvian origin are an important goal. Fibre flax varieties 'Blue di Riga', 'Priekuļu 665', 'Ošupes 30' and breeding lines 'S-64-17-93' and 'L11-11/11-94' are valuable material containing a qualitative and quantitative indicators of variety. 92 Latvian accessions of flax hybrids have been evaluated, and 12 accessions with the best seed and straw yield have been selected for further DNA analysis. This will simplify and accelerate the selection of new valuable hybrids that will provide particular advantages in agriculture. The genetic analysis of DNA determines the kinship and diversity of flax varieties and breeding lines which can be used further in flax breeding.

  • Closed Access
    Authors: 
    Krishnan Dandapani; Ann Marie Hibbert; Edward R. Lawrence;
    Publisher: Elsevier BV

    Abstract We identify the first and subsequent acquisitions made by U.S. firms that conduct multiple cross-border acquisitions and provide robust evidence that shareholders realize a statistically significant three-day cumulative abnormal return (CAR) of 1% around the announcement of their first international acquisition. The CAR for the first acquisition is significantly higher than the CAR around the announcement of subsequent cross-border acquisitions and is unique to cross-border acquisitions. Our findings indicate that shareholders of U.S. firms attach a premium to the firm's initial effort to globalize via international acquisitions.

  • Open Access
    Authors: 
    Agita Gancone; Jelena Pubule; Marika Rosa; Dagnija Blumberga;
    Publisher: Elsevier BV

    Abstract Agriculture is the second most significant source of greenhouse gas (GHG) emissions, with approximately 24 % of Latvia’s total GHG emissions in 2014. Emissions from agricultural soils contributed major share of the total emissions – 59.6 %, enteric fermentation emissions was second largest source – 32 %. The share of manure management emissions was evaluated as 7.5 % of total emissions in the sector, remaining 0.9 % of emissions refer to liming and urea application. GHG emissions increased in 2014 by 3.3 % comparing to 2013 due to increase of cattle, sheep and fur animal numbers. Statistics also showed increase of synthetic N fertilizer consumption approximately by 4.6 %, sown area by 0.3 % and lime application to soils 42.9 % [1]. Bearing in mind significant share of agricultural emissions in total GHG emissions in Latvia and the growing emission trend the additional attention is necessary for evaluation of impacts of agriculture on the environment. The purpose of this study is to explore indicators for assessing eco-efficiency in the Latvian agriculture sector. First the paper describes methods which can be used for measuring eco-efficiency, second availability of activity data and third, presents calculations of selected indicators for eco-efficiencies.

  • Closed Access
    Authors: 
    Raphie Hayat; M. Kabir Hassan;
    Publisher: Elsevier BV

    Abstract In this paper we study the effect of an Islamic label on corporate governance. Listed firms with an Islamic label (Islamic firms) are characterized by low leverage. Because recent evidence indicates that leverage can act as a substitute for good governance, it is tempting to expect these Islamic firms to have better governance than their non-Islamic peers. However, we find no significant difference in overall governance between Islamic and non-Islamic S&P 500 firms. Also, after controlling for other determinants of governance, we find no significant effect of an Islamic label. We do find that an Islamic label adds about 2 percentage points of governance quality, as measured by the Bloomberg Governance Disclosure score. However, this effect is not related to leverage.

  • Open Access English
    Authors: 
    Kristine Valujeva; Kristine Valujeva; Kristine Valujeva; Aleksejs Nipers; Ainars Lupikis; Rogier P. O. Schulte;
    Publisher: Frontiers Media SA
    Country: Netherlands
    Project: EC | LANDMARK (635201)

    The increased demand for bio based products worldwide provides an opportunity for Eastern European countries to increase their production in agriculture and forestry. At the same time, such economic development must be congruent with the European Union’s long-term climate and biodiversity objectives. As a country that is rich in bioresources, the Latvian case study is highly relevant to many other countries—especially those in Central and Eastern Europe—and faces a choice of transition pathways to meet both economic and environmental objectives. In order to assess the trade-offs between investments in the bioeconomy and the achievement of climate and biodiversity objectives, we used the Functional Land Management (FLM) framework for the quantification of the supply and demand for the primary productivity, carbon regulation and biodiversity functions. We related the supply of these three soil functions to combinations of land use and soil characteristics. The demand for the same functions were derived from European, national and regional policy objectives. Our results showed different spatial scales at which variation in demand and supply is manifested. High demand for biodiversity was associated with areas dominated by agricultural land at the local scale, while regional differences of unemployment rates and the target for GDP increases framed the demand for primary productivity. National demand for carbon regulation focused on areas dominated by forests on organic soils. We subsequently identified mismatches between the supply and demand for soil functions, and we selected spatial locations for specific land use changes and improvements in management practices to promote sustainable development of the bio-economy. Our results offer guidance to policy makers that will help them to form a national policy that will underpin management practices that are effective and tailored toward local climate conditions and national implementation pathways.

  • Open Access
    Authors: 
    Sandis Dejus; Alīna Neščerecka; G. Kurcalts; Tālis Juhna;
    Publisher: IWA Publishing

    Abstract Concerns about drinking water (DW) quality contamination during water distribution raise a need for real-time monitoring and rapid contamination detection. Early warning systems (EWS) are a potential solution. The EWS consist of multiple conventional sensors that provide the real-time measurements and algorithms that allow the recognizing of contamination events from normal operating conditions. In most cases, these algorithms have been established with artificial data, while data from real and biological contamination events are limited. The goal of the study was the event detection performance of the Mahalanobis distance method in combination with on-line DW quality monitoring sensors and manual measurements of grab samples for potential DW biological contamination scenarios. In this study three contamination scenarios were simulated in a pilot-scale DW distribution system: untreated river water, groundwater and wastewater intrusion, which represent realistic contamination scenarios and imply biological contamination. Temperature, electrical conductivity (EC), total organic carbon (TOC), chlorine ion (Cl-), oxidation–reduction potential (ORP), pH sensors and turbidity measurements were used as on-line sensors and for manual measurements. Novel adenosine-triphosphate and flow cytometric measurements were used for biological water quality evaluation. The results showed contamination detection probability from 56% to 89%, where the best performance was obtained with manual measurements. The probability of false alarm was 5–6% both for on-line and manual measurements. The Mahalanobis distance method with DW quality sensors has a good potential to be applied in EWS. However, the sustainability of the on-line measurement system and/or the detection algorithm should be improved.

  • Authors: 
    Armands Kviesis; Aleksejs Zacepins;
    Publisher: IEEE

    During the honey bee colony's life cycle different colony states can be observed. At certain situations some of the states can negatively impact colony's development (broodless state, swarming) resulting in possible colony's death and increase of beekeepers costs. On the other hand, when honey bee colony is in active brood rearing stage (at the preferable period) it is a sign that the colony is capable of reproduction. By knowing in which state the bee colony are at a specific moment, without opening the hive, beekeeper can improve his apiary management, e.g., timely prepare for further actions. Within the “Application of Information Technologies in Precision Apiculture” (ITAPIC) project, colony monitoring was performed using one temperature sensor per honey bee hive. This gives enough data to examine temperature dynamics and allows to determine the patterns of the given honey bee colony states. Based on these data, it is possible to develop a honey bee colony state identification process. This can be achieved by inspecting the temperature data and developing algorithms for each honey bee colony state or by applying neural networks. Neural networks are widely used for various tasks, including tasks related to classification and data processing. In this paper authors propose a method for honey bee colony state (commencement of brood rearing period and swarming) detection using neural networks with supervised learning.

  • Open Access English
    Authors: 
    Lokesha; Iqbal Thonse Hawaldar;
    Publisher: LLC "CPC "Business Perspectives"

    Agricultural credit is required for the development of agriculture scenario in any economy. Commercial, cooperative and regional rural banks have extended agricultural credit to the farmers in Dakshina Kannada district of India. The effectiveness of agricultural credit system depends on the utilization of credit funds by the borrowers. The present study made an attempt to understand the factors influencing the utilization of agricultural credit of banks in Dakshina Kannada. The study used primary and secondary data. Primary data are gathered from the borrowers of banks operating in Dakshina Kannada district. The study found that there is an impact of demographic, agriculture and agricultural credit factors on the purpose of utilization of agricultural credit in Dakshina Kannada district.

  • Open Access English
    Authors: 
    Neda Zuļģe; Anna Kāle; Alina Gospodaryk; Kristīne Vēvere; Inga Moročko-Bičevska;
    Publisher: Sciendo

    Abstract Apples and pears are among the most important commercial fruit species grown in Latvia. Because of suitability to local climatic conditions, mainly domestic cultivars and cultivars originating in neighbouring countries are grown. The planting material of pome fruits produced and used for establishment of new orchards in Latvia corresponds to the Conformitas Agraria Communitatis standard due to the unavailability of nuclear stock. To establish virus-tested, experimental nuclear stock for apple and pear, one to two years old candidate plants were exposed to thermotherapy at +38 °C for 40 to 70 days. The mother trees and candidate plants before treatment were tested for the presence of the four most widespread pome fruit viruses by RT-PCR. The shoot tips of the heat-treated plants were grafted onto seedling rootstocks and were re-tested for the four viruses by RT-PCR during the next three to five vegetation seasons. Several plants of apple cultivars ‘Dace’, ‘Zarja Alatau’, ‘Rubin’, and ‘Ausma’ remained infected either with Apple chlorotic leaf spot virus, Apple stem growing virus or Apple stem pitting virus after the thermotherapy. Tests on woody indicators were carried out to determine possible presence of graft-transmittable organisms according to EPPO guidelines for the establishment of nuclear stock material for pome fruits.