Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2012

Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.

Spatially explicit estimates of length and biomass of Micromesistius poutassou (Blue Whiting) from acoustic and trawl surveys in the North-East Atlantic in May 2004

Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.

Age determination of sediment cores from the continental shelf and slope off North-West Africa

Three sediment cores from the continental shelf and slope off NW Africa (Banc d'Arguin; 52 m, 665 m and 973 m water depth) have been investigated by means of a coarse fraction analysis. The two shallower cores have been deposited during less than 10,000 years, the deeper one during the last 36,000 years. The Holocene sedimentation ( 4000 years) in the deeper part of core 79 the edge of the Banc d'Arguin is strongly influenced by reworking of Late Glacial dune sands and biogenic particles from shallower ware (<40 m), as well as eroding current influence. A decrease in grain size of silicate material and a decrease in lateral supply, correlated to a doubling of accumulation rates in the upper part of the core, indicates a more autochthonous sedimentation with less sorting influence in the youngest Holocene. The depth of provenance of the allochttonous material can be assumed in 100-300 m water depth as indicated by various biogenous particles. Small amounts of shallow water particles in the autochthonous layers indicate a supplay from shallow water, which probably occured b ythe mechanism of "particle by particle supply". None of the three cores indicates upwelling influence, although occanographers found intense upwelling in the area of the Banc d'Arguin. The Holocene climate in that area probably has been arid, small variations in terrigenous matter composition and grain size in the Early Holocene might be due to decreased wind strength or to an increase in rain fall. The Peak Glacial section (14,000-22,000 y. B.P.) of the deepest core 88 indicates a very much intensified eolian silt supply and an additional bottom supply of quartz sand In the interval 22,000-36,000 y. B.P. wind strength decreased, but probably no increase in humidity occurred. So this area in about 19° 40' N had an arid climate in the Late Holocene and in the Peak Glacial. The fragmentation of planktonic foraminifers and the abundance of aragonitic tests of pteropods in core 88 indicate an Early Holocene (8330 y. B.P.) preservation spike. Two minima in fragmentation correlated to maxima in pteropod content at about 15,700 and 21,000 y. B.P. are correlated to maxima in shallow water supply and thus do not reflect preservation conditions, but only lateral supply from the carbonate dissolution minimum zone in about 300 m water depth.

Spatially explicit estimates of length and biomass of Micromesistius poutassou (Blue Whiting) from acoustic and trawl surveys in the North-East Atlantic in May 2010

Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.

Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2011

Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.

Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2007

Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.

Estructura y pruebas con Labmu

La implantación de la televisión digital en España ha supuesto un conjunto de desafíos técnicos y de orden práctico que se han ido acometiendo en multitud de ámbitos, desde la legislación que normaliza las infraestructuras comunes de telecomunicación hasta los cambios en las instalaciones y receptores donde el usuario final recibe los servicios. Por la complejidad y el carácter interdisciplinar de los conocimientos necesarios el aprendizaje de los titulados dentro del ámbito de la Telecomunicación supone también un reto importante. Este proyecto realiza una primera aproximación a un conjunto de herramientas hardware y software de ayuda a la enseñanza de esta amplia disciplina. El proyecto se ha realizado en torno a Labmu laboratorio multiusuario para prácticas de televisión digital de la empresa Xpertia. Se ha realizado para conocer y documentar sus posibilidades. También se ha documentado la tarjeta moduladora DTA-111 y el software para Windows StreamXpress. Estos sistemas ofrecen muchas posibilidades para la docencia de la televisión digital en todas las áreas desde la codificación fuente hasta la decodificación en el usuario final. En particular para ambos sistemas se han realizado pruebas en radiofrecuencia de emisiones de TDT. También se han establecido algunas ideas para trabajo futuro con estos sistemas. El proyecto se divide en seis capítulos: Capitulo 1: En el primer capítulo titulado Introducción se presenta el proyecto. Capítulo 2: En el segundo capítulo titulado Composición Hardware Labmu se presentan todos los componentes del laboratorio Labmu con la descripción de cada componente y sus características técnicas. Así mismo se presenta el interconexionado y configuración con que se ha trabajado. Capítulo 3: En el tercer capítulo titulado Software Labmu se describe como manual de usuario todos los componentes y posibilidades de software de Labmu. Capítulo 4: En el cuarto capítulo titulado Medidas con Labmu se realiza las medidas de MER, CBER, VBER, C/N y potencia de canal de los canales emitidos en la Comunidad de Madrid, comparando estas medidas con el analizador Promax Prodig-5. Capítulo 5: En el quinto capítulo titulado Tarjeta receptora y software se describe la tarjeta DTA-111 y el software StreamXpress, realizando medidas con el analizador Promax Prodig-5 introduciendo errores a la señal emitida por la tarjeta, y estudiando los niveles límites de visualización correcta. Capítulo 6: En el sexto y último capítulo titulado Conclusiones se presentan las conclusiones del proyecto y un plan de trabajo futuro ABSTRACT. The implantation of Digital Television in Spain (TDT) has implied a number of technical and practical challenges in several scopes. These challenges range from recommendations that standardize common telecommunications infrastructure to the changes in facilities where the end user receives digital services. The complexity and the interdisciplinary nature of skills that graduate Telecommunications students need to learn, is also a major challenge. This project is a first approach of a set of hard ware and software tools to help in the task of teaching this broad range discipline. The project has been carried out on Labmu, a multiuser Digital Television laboratory created by the Xpertia company. Its objectives are to understand and document this range of possibilities. DTA-111 modulator card and software for Windows StreamXpress have also been documented. These systems offer many options for teaching digital television in all areas, from source coding to end user decoding. In particular, both systems were tested on RF emissions in TDT. More over some ideas for future work with these systems have also foreseen. The project is structured in six chapters: Chapter1: This section Introduces the project. Chapter2: Titled “The Composition Hardware Labmu” presents Labmu lab components and provides descriptions for each component and its technical characteristics. It also presents the interconnection and configuration we have been using. Chapter3: Titled “Software Labmu” is a user manual, describing all components and software possibilities Labmu offers. Chapter4: Titled “Measures to Labmu” presents MER, CBER, VBER, C /N and channel power measures provided by Labmu in comparison with Promax Prodig-5 measures for all channels broad casting digital television services in the Community of Madrid. Chapter 5 Titled “Receiver card and software” describes DTA-111 card and software StreamXpress. Also the effects of errors insertion performed by this card are measured with the PromaxProdig-5 meter. Threes hold levels for correct reception are also studied. Chapter6: Entitled Conclusions presents the conclusions of the project and a plan for future work.

A process for managing interaction between experimenters to get useful similar replications

Context: A replication is the repetition of an experiment. Several efforts have been made to adopt replication as a common practice in software engineering. There are different types of replications, depending on their purpose. Similar replications keep the experimental conditions as alike as possible to the original ones. External similar replications, where the replicating experimenters are not the same people as the original experimenters, have been a stumbling block. Several attempts at combining the results of replications have resulted in failure. Software engineering does not appear to be well suited to such replications, because it works with complex experimentally immature contexts. Software engineering settings have a large number of variables, and the role that many of them play is unknown. A successful (or useful) similar replication helps to better understand the phenomenon under study by verifying results and/or identifying contextual variables that could influence (or not) the results, through the combination of experimental results. Objective: To be able to get successful similar replications, there needs to be interaction between original and replicating experimenters. In this paper, we propose an interaction process for achieving successful similar replications. Method: This process consists of: an adaptation meeting, where experimenters tailor the experiment to the new setting; querying, to settle occasional inquiries while the experiment is being run; and a combination meeting, where experimenters meet to discuss the combination of replication outcomes with previous results. To check its effectiveness, the process has been tested on three different replications of the same experiment. Results: The proposed interaction process has helped to identify new contextual variables that could potentially influence (or not) the experimental results in the three replications run. Additionally, the interaction process has helped to uncover certain problems and deviations that occurred during some of the replications that we would have not been aware of otherwise. Conclusions: There are signs that suggest that it is possible to get successful similar replications in soft- ware engineering experimentation, when there is appropriate interaction among experimenters.