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Assessment of Major Air Pollutants, Impact on Air Quality and Health Impacts on Residents: Case Study of Cardiovascular DiseasesHalliday, Nnennaya 15 July 2021 (has links)
No description available.
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Divisions and Orders in Contemporary Jakarta: An Empirical Study on the Spread of Residential Street Barrier / 現代ジャカルタにおける分断と秩序―路地バリアの普及に関する実証的研究―Kuno, Genta 24 November 2023 (has links)
京都大学 / 新制・課程博士 / 博士(地域研究) / 甲第24977号 / 地博第319号 / 新制||地||124(附属図書館) / 京都大学大学院アジア・アフリカ地域研究研究科東南アジア地域研究専攻 / (主査)教授 岡本 正明, 教授 古澤 拓郎, 准教授 町北 朋洋, 特定准教授 馬塲 弘樹 / 学位規則第4条第1項該当 / Doctor of Area Studies / Kyoto University / DGAM
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Transformation Of Collective Memory In The Case Of Ankara Ataturk BoulevardUguz, Ebru 01 December 2008 (has links) (PDF)
In Turkey, one of the main problems of architecture and urban design seem to be the rapid transformation of physical environments, street experiences, and consequently the transformation of collective memory. One consequence of this basic problem can be the loss of the meaning of urban space. This calls for an historical examination of salient features of urban space that compose the collective memory.
In this respect, this thesis aims to explore the changing physical characteristics of the boulevards through examining the transformation of collective memory. To provide empirical evidence for this, the thesis will study the transformation of collective memory of inhabitants from different age groups about the Atatü / rk Boulevard, by exploring the changing salient features of urban space and human experiences in space through a period of the last 60 years.
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Enhancing Privacy in Cookieless Web Advertising : A Comparative Study of Multi-Party Computation and Trusted Execution Environment Solutions for Private Attribution Reporting / Förbättra integriteten i cookieless webbannonsering : En jämförande studie av Multi-Party-beräkningar och pålitlig körmilslösningar för privat hänvisningsrapporteringMassy, Victor January 2023 (has links)
The end of third-party cookies has driven the advertising market to seek new solutions. Third-party cookies were widely used to track users’ online activities across websites. However, the growing concern for privacy has led web browsers to put an end to this practice. In this thesis, we explore two potential solutions for private attribution reporting - Multi-Party Computation (MPC) and Trusted Execution Environment (TEE). Attribution reporting is used by advertisers to measure the effectiveness of a marketing campaign. The underlying process requires identifying which advertisement led to a conversion. To test and compare these two technologies, we used the Interoperable Private Attribution (IPA) research prototype developed by Benjamin Case et al. for MPC, and developed our own models for TEE using Intel-SGX. Our TEE models have two distinct approaches: the first model uses EdgelessDB, a SQL database stored inside a secure enclave, which offers a high level of abstraction and flexibility for advertisers. The second model employs Gramine, a library that enables the compilation and execution of code inside a secure enclave. In this solution, the code is written in C and the input data is stored in an encrypted file. We compared the time performance and the security of these models. According to our results, the Gramine model is faster than the other models. Additionally, the security provided by IntelSGX, although dependent on a high level of trust in Intel services, is better than the security offered by an MPC protocol. Based on our tests, TEE is a better solution for attribution reporting. Nevertheless, MPC is a rapidly evolving technology, and new algorithms have been developed our tests. Further testing with a new implementation of MPC could be a potential avenue for future work. / Slutet på third-party cookies har tvingat annonsmarknaden att söka nya lösningar. Third-party cookies användes ofta för att spåra användares aktiviteter på olika webbplatser. Dock har den ökande oro för privatliv ledt webbläsare att avsluta denna praxis. I denna rapport utforskar vi två potentiella lösningar på problemet med attributrapportering - MultiParty Computation (MPC) och Trusted Execution Environment (TEE). Attributrapportering används av annonsörer för att mäta effektiviteten av en marknadsföringskampanj. Underliggande process kräver att identifiera vilken annons som ledde till en konvertering. För att testa och jämföra dessa två teknologier använde vi en Interoperable Private Attribution (IPA) forskningsprototyp utvecklad av Benjamin Case och al. för MPC och utvecklade våra egna modeller för TEE med Intel-SGX. Våra TEE-modeller har två distinkta tillvägagångssätt: den första modellen använder EdgelessDB, en SQL-databas som lagras inuti en säker miljö, vilket erbjuder en hög nivå av abstraktion och flexibilitet för annonsörer. Den andra modellen använder Gramine, en bibliotek som möjliggör kompilering och körning av kod inuti en säker miljö. I denna lösning är koden skriven i C och indata lagras i en krypterad fil. Vi jämförde prestanda och säkerhet för dessa modeller. Enligt våra resultat är Gramine-modellen snabbare än de andra modellerna. Dessutom är säkerheten som tillhandahålls av Intel-SGX, även om den är beroende av en hög nivå av förtroende för Intel-tjänster, bättre än säkerheten som erbjuds av en MPC-protokoll. Baserat på våra tester är TEE en bättre lösning för attributrapportering. Trots detta är MPC en snabbt utvecklande teknologi, och nya algoritmer har ut.
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AI Unleashed : An exploratory study of AI adoption by manufacturing companies in northen part of SwedenSandsjö, Ella, Zetterman, Anna January 2024 (has links)
AI has revolutionized the world and begun to influence an increasing number of industries worldwide. The pressure to implement AI has been evident at both EU and national levels. AI has demonstrated significant benefits in many companies, such as improved financial performance and efficiency. However, despite this, there are still many companies,particularly manufacturing companies, that have not implemented AI. Interestingly, manufacturing companies are among those that stand to benefit the most from AI. Therefore, exploring the intentions to adopt AI in manufacturing companies becomes relevant. The concept of adopting innovation and to some extent AI adoption, is theoretically explored. However, there is a lack of empirical evidence of what hindersmanufacturing companies from adopting and implementing AI. Furthermore, Swedish companies are less positive towards AI compared to global leaders. To address the identified research gap, the following research question has been formulated: “What are the barriers and determinants that manufacturing companies in the northern part of Sweden face during the adoption and implementation of AI? “ The aim of this thesis is to investigate the factors influencing the adoption and implementation of AI solutions in manufacturing companies located in the northern part of Sweden, based on previous research and the empirical findings. To fulfill the purpose, we designed an exploratory qualitative study and conducted seven semi-structured interviews based on themes derived from TOE and TAM along with Rogers InnovationDiffusion. The key findings from the study revealed that the combined TOE-TAM model along with Rogers theory and other factors like leadership and external actors can explain the intention to adopt AI technology. Further, the significant barriers to AI adoption arethe lack of sufficient competence both internally and externally, another barrier was the costs of the implementation. Although we identified barriers to AI adoption, a lot of opportunities emerged as well. The determinants to adopt AI or not was the internal attitude and understanding of how the company can utilize AI. This thesis contributes with knowledge concerning the factors affecting AI adoption in manufacturing companies in the northern part of Sweden. It resulted in a revised conceptual framework that provides valuable insights for managers to consider when adopting AI. Finally, the thesis contributes with social implications that can assist in the rising concerns regarding AIs role in society.
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