Hur förenar man på bästa sätt två skilda funktionsprogram, privata och allmänna intressen på en central plats i Stockholms citykärna?

The goal of this project is to implement and verify an optimization model for finding a min-cost selection of switches and train paths at railway stations. The selected train paths must satisfy traffic requirements that commonly apply to regular railway traffic. The requirements include different combinations of simultaneous and overtaking train movements. The model does not rely on timetables but does instead utilize different path sets that are produced via algorithms based on a network representation of the station layout. The model has been verified on a small test station and also on the real station layout at Katrineholm. These tests show that the model can solve the problem for mid size stations with through traffic. In addition, we have performed a literature study regarding maintenance problems for switches and crossings. We have also looked at articles regarding the scheduling and routing of trains through railway stations. Finally we present some possible ways to further improve the model for more realistic experiments.

Magister Artium - MA / This study evaluates the accuracy and equivalence of translated news from English to isiXhosa version in four community radio stations, two from the Western Cape and two from the Eastern Cape. Community radio stations source their local news through interviews and eye witness accounts. They get other news-worthy stories through media releases from Government Communication and Information System (GCIS), Police stations, Municipalities, Royal houses and from the office of the president. Most of the time, media releases are written in English and they have to be translated into isiXhosa as they use a high percentage of isiXhosa as a medium of their broadcasting.

Weather stations provide key information related to soil moisture and have been used by farmers to decide various field operations. We first evaluated the discrepancies in soil moisture between a weather stations and nearby field; due to soil texture, crop residue cover, crop type, growth stage and duration of temporal dependency to recent rainfall and evaporation rates using regression analysis. The regression analysis showed strong relationship between soil moisture at the weather station and the nearby field at the late vegetative and early reproductive stages. The correlation thereafter declines at later growth stages for corn and wheat. We can adduce that the regression coefficient of soil moisture with four-day cumulative rainfall slightly increased with an increase in the crop residue resulting in a low root mean square error (RMSE) value. We then investigated the effectiveness of machine learning techniques such as random forest regression (RFR), boosted regression trees (BRT), support vector regression, and artificial neural network to predict soil moisture in nearby fields based on RMSE of a 30% validation dataset and to determine the relative importance of predictor variables. The RFR and BRT performed best over other machine learning algorithms based on the lower RMSE values of 0.045 and 0.048 m3 m-3, respectively. The Classification and Regression Trees (CART), RFR and BRT models showed soil moisture at nearby weather stations had the highest relative influence for moisture prediction, followed by the four-day cumulative rainfall and Potential Evapotranspiration (PET), and subsequently followed by bulk density and Saturated Hydraulic Conductivity (Ksat). We then evaluated the integration of weather station data, RFR machine learning, and remotely sensed satellite imagery to predict soil moisture in nearby fields. Soil moisture predicted with an RFR algorithm using OPtical TRApezoidal Model (OPTRAM) moisture values, rainfall, standardized precipitation index (SPI) and percent clay showed high goodness of fit (r2=0.69) and low RMSE (0.053 m3 m-3). This research shows that the integration of weather station data, machine learning, and remote sensing tools can be used to effectively predict soil moisture in the Red River Valley of the North among a large diversity of cropping systems.

Thesis (M.A.(Media Studies)) --University of the North, 2002 / This research report looks at Radio Turf as a radio station serving the university community as well af the neighbouring communities. It seeks to establish whether Radio Turf is indeed an empowering tool to the community it serves, looking at language usage, skills development, promotion of local music, gender issues and education. It further seeks to establish whether it is indeed a community radio station in the true sense of the word. The research report lso looks at ways and means of improving community radio stations in general as a way of empowering the communities they serve through participation and involvement. The report could be of assistance to the radio station in as far as knowing its weaknesses and strong points as a way of improving its service to the community it serves

Main topic of Diploma thesis is to deal with the design of a new building of the Slovácké divadlo in Uherské Hradiště. The project unites the current difficult service of the theater into one objet and moves it next to the historic prison building and the Palace of Justice. The project also proposes a new traffic solution - including the modification of the existing bus station and the surrounding area of the theater building.

京都大学 / 0048 / 新制・課程博士 / 博士(理学) / 甲第20186号 / 理博第4271号 / 新制||理||1614(附属図書館) / 京都大学大学院理学研究科地球惑星科学専攻 / (主査)准教授 齊藤 昭則, 教授 田口 聡, 教授 塩谷 雅人 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DGAM

Projektet är syftar till att bygga en ny hybridbyggnad innehållandes en brandstation i Sorunda i Nynäshamns kommun med förbättrade förutsättningar för en effektivare verksamhet, samt ökad kvalitet på tillvaron mellan utryckningar, med bland annat en idrottshall, ett gym, ett café, samt en större boendedel i brandstationen. Projektet ämnar även att framhäva den centrala plats i orten brandstation befinner sig på, precis mellan den historiskt viktigaste mittpunkten, kyrkan, och den idag tydligaste mötesplatsen, Coopbutiken med apotek- post- och systembolagsombud, och verka som en samlingsplats i Sorunda, och bilda ett tydligt centrumstråk genom orten med tre tydliga institutioner. Den gemensamma delen av brandstationen som även kan brukas av ortens invånare består, förutom av gymmet, cafét, samt idrottshallen som fyller ett behov hos den närliggande skolan, även av gemensamma mötes- och festlokaler. / The project aims to construct a new hybrid building in Sorunda, located in northwestern Nynäshamn, with improved conditions for more efficient operations and an enhanced quality of life between emergencies. The building will house a fire station and include additional facilities such as a sports hall, a gym, a café, and a larger residential area within the fire station. The project also intends to emphasize the central location of the fire station in the community, situated between the historically significant focal point, the church, and the currently prominent meeting place, the Coop store with a pharmacy, postal services, and other important services. The fire station aims to serve as a gathering place in Sorunda, forming a clear central axis through the community with three emphasized institutions. The communal part of the hybrid programme, which can also be utilized by the local residents, consists of communal meeting and event spaces, in addition to the gym, café, and sports hall, which also address the needs of the nearby school.

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Large-scale international science projects (LISPs) are those projects where two or more countries formally agree to cooperate toward the achievement of a scientific, research and development, or engineering goal. In general, only projects exceeding $1 billion U.S. are considered LISPs, so sheer size commands attention, and because they are so costly and visible, failure can lead to significant scientific, financial and political consequences. This researched focused on how 7 different critical success factors impacted the level of technical interface knowledge shared among international partners involved in a large-scale international space science project (LISSP) – the International Space Station (ISS), which is currently under assembly and testing at the Kennedy Space Center, Florida. The research methodology employed documentation review, individual interviews and surveys of experienced engineers and managers from three different countries associated with the ISS. The research methodology was applied to three different cases (retrospectively) involving the processing of flight hardware from the three different international partners. The analysis showed that only 5 out of the 7-factor model played a significant role in the level of knowledge sharing between partners. The developed model provides future international partnerships with critical success factors that they can apply to their specific project / mission teams in order to improve the level of knowledge shared between them.