Variability in bulb shape of selected onion inbreds and their hybrids

Typescript (photocopy) Thesis (M.S.)--Iowa State University, 1964. Includes bibliography

Rollover stability of partially filled heavy-duty elliptical tankers using trammel pendulums to simulate fluid sloshing

Partially filled tankers undergoing turns or lane change maneuvers have a lower rollover threshold than any other type of vehicle. In order to study and simulate the lateral fluid sloshing effects in partially filled elliptical and cylindrical tankers a trammel pendulum has been utilized. The fundamental basis of selecting the appropriate pendulum parameters have been obtained by matching the pendulum dynamic effects with fluid sloshing dynamic effects obtained using Finite Element (FE) fluid models. Elliptical tankers with different aspect ratios and different levels of fill were considered. The trammel pendulum effects were verified against fluid models from two packages (FLUENT and LS_Dyna 3D) as well as the literature within and beyond the linear range of pendulum oscillation. The trammel pendulum produced up to 20% more lateral forces and moments than the fluid models beyond the linear range, which renders the pendulum model more conservative from the tanker stability point of view.;Two- and three-dimensional tanker models were used to simulate the tanker\u27s lateral stability using the trammel pendulums. The effects of several parameters such as ellipse ratio, fluid polar moment of inertia, suspension compliance, and the frequency of excitation on tanker stability were studied. The models predicted critical fill levels that agree with the experimental results and the values reported in the literature based on much more complex and time consuming experimental and analytical methods. In addition, the rollover thresholds were predicted with acceptable level of accuracy (+8%), especially with the more detailed models

Study on Service Quality and Customer Satisfaction on the Mobile Phone Provider : A Case of Postgraduate Students in Al-Fateh University of Libya

This study was to find out whether there is a relationship between service quality and customer satisfaction. This study examined the relationship between service quality dimensions (reliability,tangibles,responsiveness,assurance and empathy) and customer satisfaction among mobile phone customers of two mobile phone service providers - the Al Mader and Libyana at the Alfateh University in Libya. This study is designed to provide the benefit for marketing practitioners. It is hoped that the study offer a holistic and in-depth overview of how customer forms, experience and exploit their satisfaction towards services that offered by the mobile phone provider.There are five dimensions service quality which are: reliability, tangibles, responsiveness, assurance and empathy. A total of 205 postgraduate students participated in the study. Data were collected using questionnaire. The questionnaire consisted of 23 items measuring service quality and 8 items on customer satisfaction. On the whole,the results of the study suggest that there exist a significant relationship between the five dimensions of service quality and customer satisfaction

3D MICROWAVE ANTENNA SYNTHESIS TAKING INTO ACCOUNT DIELECTRIC COATING AND THE DESIRED RADIATION PATTERN

The problems of microwave antenna synthesis with a dielectriccoatings, which use the desired radiation pattern characteristics as inputinformation, are very important. Based on the method of auxiliary sourcesand integro-functional equations, a solution of the three-dimensional directand inverse problems for excitation of microwave antenna array, whichconsists of a few slot emitters under a finite-size dielectric layer, isintroduced. The results of research for the antennas radiation pattern with agiven the distribution of the sources and synthesis of the amplitude and phasevoltage distribution for the slot antenna array according to the desiredradiation pattern are discussed

閉鎖性及び海岸水域における高精度な水質モニタリングに向けたリモートセンシング技術の開発

学位の種別: 課程博士審査委員会委員 : （主査）東京大学准教授 沖 一雄, 東京大学教授 沖 大幹, 東京大学教授 田島 芳満, 東京大学准教授 竹内 渉, 東京大学准教授 平林 由希子, 東京大学准教授 芳村 圭, 筑波大学准教授 松下 文経University of Tokyo(東京大学

Efekat savremenih gradjevinskih sistema i materijala na funkcionalne i estetske performanse enterijera na modelskom primeru restorana

Arhitektura je majka umetnosti i ona je u najvećem kontaktu sa čovekom, arhitektura sadrži ljudski život u različitim oblicima. Zbog toga arhitektonska dela moraju da obezbede odgovarajuće funkcionalne prostore za obavljanje određene aktivnosti, a arhitektonski prostor je važan i osnovni alat, koji omogućuje korisniku da postigne željeni efekat. Da biste analizirali arhitektonsku prazninu i njene komponente, možete se pozvati na inženjerski nivo ovog dela (građevinski materijali, građevinski sistemi, prostorne proporcije, blokovi, otvori,) i proučite efekat svakog od ovih nivoa na formiranje arhitektonske praznine i na njegov odnos prema ostatku prostora u jednom bloku. Arhitektonski prostor postiže se obezbeđivanjem odgovarajućih građevinskih materijala i njihovom upotrebom za formiranje strukture u uravnoteženim, koordinisanim blokovima, uz pojačanje prostora funkcionalnim i estetski odgovarajućom konstrukcijom za uspostavljanje uravnoteženog strukturnog sistema koji je efikasan u formiranju prostora. Ovo moderno istraživanje bavi se savremenim građevinskim sistemima i materijalima i njihovim funkcionalnim i estetskim uticajem na arhitektonske prostore, a ima za cilj da identifikuje građevinske materijale i sisteme, njihov funkcionalni i estetski uticaj na arhitektonskeprostore. Što se tiče istraživačkog problema, istraživanje pokušava da odgovori na sledeće pitanje: Da li savremeni građevinski sistemi i materijali utiču na arhitektonsku prazninu uopšte i na korisnike arhitektonskih prostora i da li ovi sistemi i materijali igraju značajnu ulogu u poboljšanju kvaliteta arhitektonskog prostora i samim tim uspeh ili neuspeh prostora? Studija je zaključena sa nizom rezultata, od kojih je najvažniji da su savremeni građevinski sistemi i materijali suštinski deo uspešnog arhitektonskog dizajna i da na izborsavremenih građevinskih sistema i materijala utiče niz faktora, od kojih je najvažniji funkcionalni i estetski faktor

Control System for Electrical Power Grids with Renewables using Artificial Intelligence Methods

Modern electrical and electronic devices are very sensitive to the power supply and require steady and stable electric power. Factories may also need electric power within a specific standard range of voltage, frequency, and current to avoid defects in the production. For these reasons electric power utilities must produce an electric power of a specific standard of power quality parameters [EN50160]. Nowadays, renewable energy sources, such as wind energy and solar energy are used to generate electric power as free and clean power sources as well to reduce fuel consumption and environmental pollution as much as possible. Renewable energy, e.g. wind speed or solar irradiance, are not stable or not constant energies over the time. Therefore smart control systems (SCSs) are needed for operate the power system in optimal way which help for producing a power with good quality from renewable sources. The forecasting and prediction models play a main role in these issues and contribute as the important part of the smart control system (SCS). The main task of the SCS is to keep the generated power equal to the consumed power as well as to consider standard levels of power quality parameters as much as possible. Some of previous studies have focused on forecasting power quality parameters, power load, wind speed and solar irradiance using machine learning models as neural networks, support vector machines, fuzzy sets, and neuro fuzzy. This thesis proposes designing forecasting systems using machine learning techniques in order to be use in control and operate an electrical power system. In this study, design and tested forecasting systems related to the power and renewable energies. These systems include wind speed forecasting, power load forecasting and power quality parameters forecasting. The main part of this thesis is focus in power quality parameters forecasting in short-term, these parameters are: power frequency, magnitude of the supply voltage, total harmonic distortion of voltage (THDu), total harmonic distortion of current (THDi), and short term flicker severity (Pst) according to the definition in [EN50160]. The output of the forecasting models of power quality parameters can be used in shifting the load to run in switch time which will help for correct and optimize the quality of the power.Modern electrical and electronic devices are very sensitive to the power supply and require steady and stable electric power. Factories may also need electric power within a specific standard range of voltage, frequency, and current to avoid defects in the production. For these reasons electric power utilities must produce an electric power of a specific standard of power quality parameters [EN50160]. Nowadays, renewable energy sources, such as wind energy and solar energy are used to generate electric power as free and clean power sources as well to reduce fuel consumption and environmental pollution as much as possible. Renewable energy, e.g. wind speed or solar irradiance, are not stable or not constant energies over the time. Therefore smart control systems (SCSs) are needed for operate the power system in optimal way which help for producing a power with good quality from renewable sources. The forecasting and prediction models play a main role in these issues and contribute as the important part of the smart control system (SCS). The main task of the SCS is to keep the generated power equal to the consumed power as well as to consider standard levels of power quality parameters as much as possible. Some of previous studies have focused on forecasting power quality parameters, power load, wind speed and solar irradiance using machine learning models as neural networks, support vector machines, fuzzy sets, and neuro fuzzy. This thesis proposes designing forecasting systems using machine learning techniques in order to be use in control and operate an electrical power system. In this study, design and tested forecasting systems related to the power and renewable energies. These systems include wind speed forecasting, power load forecasting and power quality parameters forecasting. The main part of this thesis is focus in power quality parameters forecasting in short-term, these parameters are: power frequency, magnitude of the supply voltage, total harmonic distortion of voltage (THDu), total harmonic distortion of current (THDi), and short term flicker severity (Pst) according to the definition in [EN50160]. The output of the forecasting models of power quality parameters can be used in shifting the load to run in switch time which will help for correct and optimize the quality of the power.410 - Katedra elektroenergetikyvyhově

Reading Egypt's postcolonial state through Frantz Fanon: hegemony, dependency and development

This essay looks at how Fanon’s work on the postcolonial state can be used to interpret political changes in the postcolonial world, particularly his call to “stretch Marxism”. I use his notion of a dependent “native bourgeoisie” created through colonialism to look at the Egyptian capitalist class under British colonial rule, the Nasser era and the Sadat era. I argue the Nasserist ruling class did not resemble the dependent “native bourgeoisie” Fanon spoke of as emerging right after the end of colonial rule, and that it was the Egyptian bourgeoisie under British colonial rule and the ruling class formed by Sadat that more closely fulfilled this role. Moreover, I argue Fanon’s call to understand capitalist development in postcolonial contexts as tied to colonialism provides a useful lens through which to revisit the evolution of the Egyptian postcolonial state

Four women of Egypt: memory, geopolitics and the Egyptian women's movement during the Nasser and Sadat eras

This article addresses the Egyptian women's movement of the 1950s–1970s through a recent film entitled Four Women of Egypt, which focuses on the lives of four prominent Egyptian women active in the movement during that period. Using the concept of political memory, the article traces some of the major debates within the women's movement throughout this era. By focusing on the ways in which these women conceptualize the geopolitical, I show that the twin concepts of imperialism and capitalism were central to the ways in which they understood gender. The result was a complex understanding of how gender intersected with Egypt's position within a broader global system of imperial capitalism. Following the transition in the 1970s to an open‐market economy, the women's movement shifted away from critiques of imperialism and capitalism. This shift can be understood Primarily in terms of geopolitics, specifically the rise of neoliberalism in Egypt. New neoliberal policies had dramatic effects on the women's movement, showing why both the rise and fall of the movement must be contextualized geopolitically and transnationally