Spatial modeling techniques for mapping and characterization of acid sulfate soils

Acid sulfate (a.s.) soils constitute a major environmental issue. Severe ecological damage results from the considerable amounts of acidity and metals leached by these soils in the recipient watercourses. As even small hot spots may affect large areas of coastal waters, mapping represents a fundamental step in the management and mitigation of a.s. soil environmental risks (i.e. to target strategic areas). Traditional mapping in the field is time-consuming and therefore expensive. Additional more cost-effective techniques have, thus, to be developed in order to narrow down and define in detail the areas of interest. The primary aim of this thesis was to assess different spatial modeling techniques for a.s. soil mapping, and the characterization of soil properties relevant for a.s. soil environmental risk management, using all available data: soil and water samples, as well as datalayers (e.g. geological and geophysical). Different spatial modeling techniques were applied at catchment or regional scale. Two artificial neural networks were assessed on the Sirppujoki River catchment (c. 440 km2) located in southwestern Finland, while fuzzy logic was assessed on several areas along the Finnish coast. Quaternary geology, aerogeophysics and slope data (derived from a digital elevation model) were utilized as evidential datalayers. The methods also required the use of point datasets (i.e. soil profiles corresponding to known a.s. or non-a.s. soil occurrences) for training and/or validation within the modeling processes. Applying these methods, various maps were generated: probability maps for a.s. soil occurrence, as well as predictive maps for different soil properties (sulfur content, organic matter content and critical sulfide depth). The two assessed artificial neural networks (ANNs) demonstrated good classification abilities for a.s. soil probability mapping at catchment scale. Slightly better results were achieved using a Radial Basis Function (RBF) -based ANN than a Radial Basis Functional Link Net (RBFLN) method, narrowing down more accurately the most probable areas for a.s. soil occurrence and defining more properly the least probable areas. The RBF-based ANN also demonstrated promising results for the characterization of different soil properties in the most probable a.s. soil areas at catchment scale. Since a.s. soil areas constitute highly productive lands for agricultural purpose, the combination of a probability map with more specific soil property predictive maps offers a valuable toolset to more precisely target strategic areas for subsequent environmental risk management. Notably, the use of laser scanning (i.e. Light Detection And Ranging, LiDAR) data enabled a more precise definition of a.s. soil probability areas, as well as the soil property modeling classes for sulfur content and the critical sulfide depth. Given suitable training/validation points, ANNs can be trained to yield a more precise modeling of the occurrence of a.s. soils and their properties. By contrast, fuzzy logic represents a simple, fast and objective alternative to carry out preliminary surveys, at catchment or regional scale, in areas offering a limited amount of data. This method enables delimiting and prioritizing the most probable areas for a.s soil occurrence, which can be particularly useful in the field. Being easily transferable from area to area, fuzzy logic modeling can be carried out at regional scale. Mapping at this scale would be extremely time-consuming through manual assessment. The use of spatial modeling techniques enables the creation of valid and comparable maps, which represents an important development within the a.s. soil mapping process. The a.s. soil mapping was also assessed using water chemistry data for 24 different catchments along the Finnish coast (in all, covering c. 21,300 km2) which were mapped with different methods (i.e. conventional mapping, fuzzy logic and an artificial neural network). Two a.s. soil related indicators measured in the river water (sulfate content and sulfate/chloride ratio) were compared to the extent of the most probable areas for a.s. soils in the surveyed catchments. High sulfate contents and sulfate/chloride ratios measured in most of the rivers demonstrated the presence of a.s. soils in the corresponding catchments. The calculated extent of the most probable a.s. soil areas is supported by independent data on water chemistry, suggesting that the a.s. soil probability maps created with different methods are reliable and comparable.

A systematic mapping study on technical debt definition

The goal of this study was to explore and understand the definition of technical debt. Technical debt refers to situation in a software development, where shortcuts or workarounds are taken in technical decision. However, the original definition has been applied to other parts of software development and it is currently difficult to define technical debt. We used mapping study process as a research methodology to collect literature related to the research topic. We collected 159 papers that referred to original definition of technical debt, which were retrieved from scientific literature databases to conduct the search process. We retrieved 107 definitions that were split into keywords. The keyword map is one of the main results of this work. Apart from that, resulting synonyms and different types of technical debt were analyzed and added to the map as branches. Overall, 33 keywords or phrases, 6 synonyms and 17 types of technical debt were distinguished.

Metsäteollisuuden ympäristöstrategia hallinnon näkökulmasta: Metsäteollisuuden kehitysskenaariot vuoteen 2020

Suomen metsäteollisuus elää voimakasta uusiutumis- ja murrosvaihetta, joka ilmenee muutoksina yksittäisten tehtaiden ja tehdasintegraattien toiminnassa. Monia yksikköjä on poistunut tuotannosta ja tuotannon painotusta on muutettu. Toisaalta metsäteollisuus on suuntaamassa uusille aloille, jolloin tuotteina voivat olla esimerkiksi erilaiset biopolttoaineet, kemianteollisuuden raaka-aineet ja uuden sukupolven paperi- ja kartonkituotteet. Metsäteollisuuden muuttuminen ja laitosten monimutkaistuminen sekä jatkuvasti lisääntyvä tiedontarve asettavat yhä suurempia vaatimuksia sekä toiminnanharjoittajien ympäristövastaaville että viranomaisille. Hallinnon jatkuva muutos ja niukkenevat voimavarat voivat johtaa siihen, että käytännön lupa- ja valvontatyöhön jää yhä vähemmän aikaa. Kaakkois-Suomen ELY-keskuksen koordinoima hanke ”Metsäteollisuuden ympäristöstrategia vuoteen 2020 - hallinnon näkökulma” pyrkii vastaamaan edellä mainittuihin haasteisiin strategiatyön avulla. Hankkeen tarkoituksena oli tarkastella metsäteollisuuden ympäristönäkökohtia niistä lähtökohdista, joihin yritys voi vaikuttaa raaka-aineen tulosta tehtaalle ja tuotteen lähdöstä tehtaalta sekä tehtaan perustamisesta sulkemiseen ja jälkihoitoon asti. Tavoitteena oli määritellä toiminnoille toimiva ympäristöstrategia. Strategiassa pyrittiin löytämään yhteisymmärrys toiminnanharjoittajan ja viranomaisen kanssa mm. siitä, miten otetaan käyttöön parhaat käytännöt niin teollisuudessa kuin hallinnossakin, toimitaan uusien BAT-, IED- ja vesienhoitoperiaatteiden mukaisesti sekä edistetään kestävän kehityksen mukaisten tuotteiden markkinoille tuloa ja otetaan ennakointi tavaksi -lähtökohta käyttöön kaikessa toiminnassa. Hanketyössä esille nousseet haasteet ryhmiteltiin aihelueittain kolmeksi pääkohdaksi tärkeysjärjestyksessä: viranomaisen ja teollisuuden tiedonkulun ja tietämyksen parantaminen, lupa-, valvonta- ja hallintoprosessien parantaminen sekä uusien haasteiden kartoittaminen ja niihin reagointi. Haasteiden ratkaisukeinoiksi etsittiin käytännön toimenpiteitä sekä määriteltiin niille vastuutahot. Toimenpiteiksi esitettiin mm. viranomaisen ja teollisuuden yhteisiä koulutuspäiviä, asiantuntijapaneelin perustamista sekä lupamääräysten antamista myös tehtaan tai tuotantoyksikön sulkemisen tai muuttamisen varalle. Riittävien resurssien ja tietotaidon turvaaminen niin hallinnossa kuin teollisuudessa on ehdoton edellytys toimenpiteiden onnistumiselle

Fusion of Data from Quadcopter’s Inertial Measurement Unit Using Complementary Filter

A quadcopter is a helicopter with four rotors, which is mechanically simple device, but requires complex electrical control for each motor. Control system needs accurate information about quadcopter’s attitude in order to achieve stable flight. The goal of this bachelor’s thesis was to research how this information could be obtained. Literature review revealed that most of the quadcopters, whose source-code is available, use a complementary filter or some derivative of it to fuse data from a gyroscope, an accelerometer and often also a magnetometer. These sensors combined are called an Inertial Measurement Unit. This thesis focuses on calculating angles from each sensor’s data and fusing these with a complementary filter. On the basis of literature review and measurements using a quadcopter, the proposed filter provides sufficiently accurate attitude data for flight control system. However, a simple complementary filter has one significant drawback – it works reliably only when the quadcopter is hovering or moving at a constant speed. The reason is that an accelerometer can’t be used to measure angles accurately if linear acceleration is present. This problem can be fixed using some derivative of a complementary filter like an adaptive complementary filter or a Kalman filter, which are not covered in this thesis.

A systematic mapping study on open data

This thesis presented the overview of Open Data research area, quantity of evidence and establishes the research evidence based on the Systematic Mapping Study (SMS). There are 621 such publications were identified published between years 2005 and 2014, but only 243 were selected in the review process. This thesis highlights the implications of Open Data principals’ proliferation in the emerging era of the accessibility, reusability and sustainability of data transparency. The findings of mapping study are described in quantitative and qualitative measurement based on the organization affiliation, countries, year of publications, research method, star rating and units of analysis identified. Furthermore, units of analysis were categorized by development lifecycle, linked open data, type of data, technical platforms, organizations, ontology and semantic, adoption and awareness, intermediaries, security and privacy and supply of data which are important component to provide a quality open data applications and services. The results of the mapping study help the organizations (such as academia, government and industries), re-searchers and software developers to understand the existing trend of open data, latest research development and the demand of future research. In addition, the proposed conceptual framework of Open Data research can be adopted and expanded to strengthen and improved current open data applications.

Osaamisen johtaminen ja kehittäminen asiantuntijaorganisaatiossa

Tämän pro gradu –tutkielman tavoitteena on tutkia osaamisen johtamista asiantuntijaorganisaatiossa. Kohdeyrityksenä tässä tutkimuksessa on Nordea Pankki Suomi Oyj:n pääkaupunkiseudun Private Banking yksikön sijoitusjohtajat ja heidän lähiesimiehet. Tutkimuksessa selvitetään miten osaaminen ymmärretään organisaatiossa ja kenellä on vastuu asiantuntijan osaamisesta ja sen kehittämisestä. Teoreettinen tarkastelu pohjautuu kolmeen keskeiseen käsitteeseen: osaamiseen, osaamisen johtamiseen ja osaamisen kehittämiseen. Tutkimuksen empiirinen osa toteutettiin kvalitatiivisena tapaustutkimuksena. Empiirinen aineisto kerättiin henkilöhaastatteluiden avulla. Asiantuntijan osaaminen on laajojen kokonaisuuksien hallintaa ja kykyä sopeutua vallitseviin tilanteisiin. Osaaminen voidaan määritelmällisesti jakaa substanssi-osaamiseen ja asiakasosaamiseen sekä kykyyn hallita suhdeverkostoa. Osaamisen johtaminen nähdään keskeisenä osana esimiehen työtä. Esimiesten pitäisi pystyä kartoittamaan asiantuntijoidensa osaamistaso ja mahdolliset puutteet sekä luomaan kehityssuunnitelma yhdessä asiantuntijan kanssa. Vastuu osaamista on asiantuntijalla itsellään. Osaamista ja oppimista tuetaan yrityksessä monin eri tavoin. Kursseja ja koulutusta järjestetään riittävästi. Organisaation ulkopuolisia koulutusmahdollisuuksia toivottiin enemmän. Organisaation kilpailukyvyn kannalta on oleellista ymmärtää millaista osaamista organisaatioissa tarvitaan tulevaisuudessa. Osaamiskartoituksen ja kehityskeskusteluiden jälkeen yrityksen johdon ja muiden esimiesten tulisi pohtia millaista koulutusta organisaation työntekijöille tulisi tarjota, että tulevaisuuden osaamisvaateet saadaan täytettyä.

Systematic mapping study on integration of B2B customers in ERP

Business-to-business terminology is relatively new as a business concept, so is the enterprise resource planning system in information technology. Research, implementation and integration of these two concept has been observed for last two decades in this paper. One of the major success point for growth in business-to-business environment is the availability of internal and partner data. Enterprise resource planning system facilitates storing, analysis of such data and enables different business process automation, forecasting and numerous value creating activity. In order to achieve such functionality for B2B customers, integrating them within ERP is very useful. This paper aims at understanding and suggesting such integration through investigating related documentation of similar integration scenarios, infrastructure, models and architectures. The investigation of the topic of this paper has been made using systematic mapping study of related papers and listing and suggesting necessary ingredients that enables such integration. Furthermore, this paper also suggests possibilities to overcome challenges integration experts might face during the integration phase and opens doors to future research scope in the related fields.