Comparing multiple criteria for species identification in two recently diverged seabirds

Correct species identification is a crucial issue in systematics with key implications for prioritising conservation effort. However, it can be particularly challenging in recently diverged species due to their strong similarity and relatedness. In such cases, species identification requires multiple and integrative approaches. In this study we used multiple criteria, namely plumage colouration, biometric measurements, geometric morphometrics, stable isotopes analysis (SIA) and genetics (mtDNA), to identify the species of 107 bycatch birds from two closely related seabird species, the Balearic (Puffinus mauretanicus) and Yelkouan (P. yelkouan) shearwaters. Biometric measurements, stable isotopes and genetic data produced two stable clusters of bycatch birds matching the two study species, as indicated by reference birds of known origin. Geometric morphometrics was excluded as a species identification criterion since the two clusters were not stable. The combination of plumage colouration, linear biometrics, stable isotope and genetic criteria was crucial to infer the species of 103 of the bycatch specimens. In the present study, particularly SIA emerged as a powerful criterion for species identification, but temporal stability of the isotopic values is critical for this purpose. Indeed, we found some variability in stable isotope values over the years within each species, but species differences explained most of the variance in the isotopic data. Yet this result pinpoints the importance of examining sources of variability in the isotopic data in a case-by-case basis prior to the cross-application of the SIA approach to other species. Our findings illustrate how the integration of several methodological approaches can help to correctly identify individuals from recently diverged species, as each criterion measures different biological phenomena and species divergence is not expressed simultaneously in all biological traits.

Classification of textures seen from different distances and under varying illumination direction

Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

Partner Criteria and Life Cycle Impacts: Case UPM

The study examines partner selection criteria and the life cycle impacts on them. The target is to define the relevant criteria that should be applied in case of a partnership. In this context partnership means strategic supplier relationship. It is also examined how these criteria change on the different stages of the product and business life cycle. The empirical part is a description of developing Criteria selection tool in the case company. The study is conducted as a qualitative research using constructive and action research methodologies. The Criteria selection tool is a MS Excel workbook, giving the relevant set of supplier criteria depending on the business case. The most essential criteria, the tool will suggest for partner suppliers, are related to strategic fit, development potential and collaborative aspects. On the early stages of the life cycles the criteria related to research and development and growth potential are significant. On the late stages of the life cycles cost reduction potential becomes very important.

A new approach to the classification of mammographic masses and normal breast tissue

A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach

Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

Virtuaalisuus esimiesviestinnässä

Pro gradu tutkielman tavoitteena on kuvata virtuaalisten viestintätyökalujen käyttöä osana esimiesviestintää. Erityisesti työssä käsitellään esimiesviestintää tehostavia keinoja sekä kriteereitä, joiden mukaan virtuaalinen viestintätyökalu voidaan valita eri viestintätilannetta kohden. Tarkoituksena oli myös empiirisen tutkimuksen avulla kartoittaa suomalaisten esimiesten virtuaalisten viestintätyökalujen käyttöä osana heidän esimiestyötään. Tutkielman empiiristä osiota varten haastateltiin kymmentä esimiestä eri yrityksistä ja toimi-aloilta. Tutkimuksen analyysi tehtiin käyttäen kvalitatiivisia tutkimusmenetelmiä. Virtuaaliset viestintätyökalut nähtiin erittäin tärkeäksi osaksi esimiesten arkipäiväisiä toimia. Niiden valinnassa käytettiin erilaisia kriteereitä, joista tärkeimmät perustuivat rationaaliseen valintaan. Erilaisia esimiesviestinnällisiä keinoja viestinnän tehostamiseksi käytettiin vähän. Tutkimuksen perusteella voitiin myös tehdä johtopäätös, että virtuaalisten viestintätyökalujen luokittelussa oli ristiriitoja haastateltavien kokemuksiin peilattuna.

Lääkintähuollon ja materiaalihallinnon yhtenäisen RFID-seurannan perusteita

Tässä diplomityössä tarkastellaan radiotaajuisen tunnistamisteknologian (RFID) seurannan yhtenäisiä perusteita puolustusvoimien lääkintähuollolle ja materiaalihallinnolle. Nykytilaa selvitettiin pääpainona lääkintähuollon ja materiaalihallinnon osa-alueet ja samalla tarkasteltiin koko puolustusvoimien RFIDtekniikan käyttöä. Puolustusvoimissa RFID-teknologiaa käytetään myös vaatehuollon ja kulunvalvonnan toiminnoissa. Tämän työn teoriaosuudessa tarkastellaan RFID-tekniikkaa ja sen komponentteja sekä niiden hyödyntämistä eri sektoreilla ja logistiikassa. Työn empiirisessä osuudessa selvitetään, mitkä ovat puolustusvoimien tarpeet RFID:n käytöllä ja vaatimuksia ensihoidon kiireellisyysluokittelulle (TRIAGE) sekä materiaalihallinnon ja niiden kautta saatavalle tilannekuvalle. Työn tuloksena saadaan perusteita puolustusvoimien RFID-ratkaisujen suunnittelun pohjaksi.

Threshold Selection Criteria for Quantification of Lumbosacral Cerebrospinal Fluid and Root Volumes from MRI

BACKGROUND AND PURPOSE: The high variability of CSF volumes partly explains the inconsistency of anesthetic effects, but may also be due to image analysis itself. In this study, criteria for threshold selection are anatomically defined. METHODS: T2 MR images (n = 7 cases) were analyzed using 3-dimentional software. Maximal-minimal thresholds were selected in standardized blocks of 50 slices of the dural sac ending caudally at the L5-S1 intervertebral space (caudal blocks) and middle L3 (rostral blocks). Maximal CSF thresholds: threshold value was increased until at least one voxel in a CSF area appeared unlabeled and decreased until that voxel was labeled again: this final threshold was selected. Minimal root thresholds: thresholds values that selected cauda equina root area but not adjacent gray voxels in the CSF-root interface were chosen. RESULTS: Significant differences were found between caudal and rostral thresholds. No significant differences were found between expert and nonexpert observers. Average max/min thresholds were around 1.30 but max/min CSF volumes were around 1.15. Great interindividual CSF volume variability was detected (max/min volumes 1.6-2.7). CONCLUSIONS: The estimation of a close range of CSF volumes which probably contains the real CSF volume value can be standardized and calculated prior to certain intrathecal procedures

Crustacean and aquatic insect assemblages in the Mediterranean coastal ecosystems of Empord`a wetlands (NE Iberian peninsula)

Coastal wetlands are characterized by high biodiversity, which is one of the main criteria considered when establishing protection policies or when proposing adequate management actions. In this study, the crustacean and aquatic insect composition of the Empord`a wetlands is described. These two faunal groups contribute highly to the total biodiversity in these wetlands but are seldom considered when managing natural areas. A selection (84 sampling points) of all water body types present in the Empord`a wetlands were sampled monthly (surber and dip net with a 250 μm mesh). Sampling was carried out during 3 surveys (1991-92, 1996-97 and 1999-2000). A rich fauna of 125 crustacean and 295 aquatic insect taxa was identified. We characterized each water body type using the most abundant species and the relative species richness of the taxonomic groups. A classification of the water body types, according to similarity between inventories, groups the brackish and hyperhaline systems in one cluster and the various freshwater systems in another one. Among freshwater systems, lotic waters and freshwater wetlands have a high similarity, whereas rice fields and freshwater springs have a low similarity

Modern recovery boiler design criteria

Engineering and pricing of large recovery boiler were studied in this work. Engineering was carried out with Anita 4.2 which is an engineering program of Andritz. Key initial values were chosen with previous studies. Primary target of this work was to find out the consequences that furnace dimensions and furnace screen vertical part has to boiler pricing. Boilers that were engineered had different rate of furnace width and depth and different heat transfer plate count. Boiler balances were invariable. Boilers with different vertical screen construction were also calculated. First variation was boiler with vertical screen up to furnace roof. Other variation was to connect vertical screen to Pre-boiler generating bank inlet tubes. Total prices were calculated to engineered boilers. Pricing was sort out to heat transfers, high pressure pipes, steel structures, auxiliary equipments and civil/structural costs. This study did not notice parts of the boiler which costs do not vary with the construction of the boiler. Heat transfers had the largest share of costs. Boiler building had the most significant differences between the boilers. Furnace screen had also significant role especially to costs of the boiler building.

The methodological criteria of counterpropositions within the Roman social legal framework

Partiendo de la difundida distinción, entre unos ordenamientos jurídicos abiertos, como el derecho inglés y el anglo americano, que se vinculan en el pasado al Derecho Romano, y otros cerrados o codificados, como los derechos del continente europeo, y tras detenernos en el origen terminológico de ambos sistemas y en su rígida contraposición, se procura destacar en este trabajo que Roma y su Derecho tampoco abrazan en toda su pureza, un sistema abierto.

A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements

Identification of clouds from satellite images is now a routine task. Observation of clouds from the ground, however, is still needed to acquire a complete description of cloud conditions. Among the standard meteorologicalvariables, solar radiation is the most affected by cloud cover. In this note, a method for using global and diffuse solar radiation data to classify sky conditions into several classes is suggested. A classical maximum-likelihood method is applied for clustering data. The method is applied to a series of four years of solar radiation data and human cloud observations at a site in Catalonia, Spain. With these data, the accuracy of the solar radiation method as compared with human observations is 45% when nine classes of sky conditions are to be distinguished, and it grows significantly to almost 60% when samples are classified in only five different classes. Most errors are explained by limitations in the database; therefore, further work is under way with a more suitable database

Optimizing of intelligence level in welding

The productivity, quality and cost efficiency of welding work are critical for metal industry today. Welding processes must get more effective and this can be done by mechanization and automation. Those systems are always expensive and they have to pay the investment back. In this case it is really important to optimize the needed intelligence and this way needed automation level, so that a company will get the best profit. This intelligence and automation level was earlier classified in several different ways which are not useful for optimizing the process of automation or mechanization of welding. In this study the intelligence of a welding system is defined in a new way to enable the welding system to produce a weld good enough. In this study a new way is developed to classify and select the internal intelligence level of a welding system needed to produce the weld efficiently. This classification contains the possible need of human work and its effect to the weld and its quality but does not exclude any different welding processes or methods. In this study a totally new way is developed to calculate the best optimization for the needed intelligence level in welding. The target of this optimization is the best possible productivity and quality and still an economically optimized solution for several different cases. This new optimizing method is based on grounds of product type, economical productivity, the batch size of products, quality and criteria of usage. Intelligence classification and optimization were never earlier made by grounds of a made product. Now it is possible to find the best type of welding system needed to welddifferent types of products. This calculation process is a universal way for optimizing needed automation or mechanization level when improving productivity of welding. This study helps the industry to improve productivity, quality and cost efficiency of welding workshops.