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Master–Thesis presentation

Transcript: 5.4 Finding of hypothesis 4 3. Perception of customers to LCC and premium cars 6.1 Recommendations Master Thesis Colloquium Standardisation Customisation Final result: Overall, the interviewees consider India as a production hub for low-end products within the automotive industry compare to other emerging markets . 56% "completely agree" or "agree" no differences differences 5.3 Finding of hypothesis 3 Results: The interviewees who show a "very high" or "high" likelihood to buy one of these car models. Results: On the basis of nine different car features the study analyzed the differences of LCC buyers and premium car buyers. Thank you for your attention! The two models: "Old technology" and "De-featured premiums" Old technology: Transfer of matured technology and machinery of industrialized countries into developing markets. De-featured premiums: "...Taking products designed for affluent Western consumers, stripping them of nonessential features, and then selling them at somewhat lower price to consumers in emerging markets." (Radjou & Prabhu & Ahuja, 2012, p. 113) 28% 16% 60% 5.5 Finding of hypothesis 5 Analysis of Indian perception towards German brands, in respect to the differences in the premium and low-end market, within the automotive industry. low petrol consumption roomy interior Perception to LCCs 5.1 Finding of hypothesis 1 1. Porter's Diamond model Results: The interviewees who considered the strategy as "very successful" or "successful". old model de-featured premiums own LCC brand acquisition of LCC maker 26% 18% 62% 44% 7. Limitations Hypothesis 2: Indian buyers of low-cost cars have different basic requirements compare to Indian buyers of premium cars. Hypothesis 5: The best market entry strategies for German automobile companies would be to develop a customised low-cost car or to acquire a low-cost carmaker. Premium stands for reward or price State-of-the-art innovations Fulfilling all customer expectations A myth around the brand Design has a high significance and therefore a high recognition value old model de-featured premiums frugal innovation high speed radio & navigation easy-for-self-repairing back doors air-conditioning loud horn low price 1b. Result: The interviewees who consider that India, as production hub for low-end car parts, has a leading role compare to other emerging countries. 44% "completely agree" or "agree" Once "in-a-life-time" investment Size and utility value In-cabin-room size and five doors extreme robustness and reliability Does Customisation to the low-end market offer an opportunity for German companies? 1. Porter's Diamond model 2. Standardisation versus Customisation 3. Perception of customers to LCCs and premium cars 4. The Indian automotive market 5. Findings of the hypotheses 6. Recommendations 7. Limitations On the basis of six factor conditions the model defines if a country, compare to other countries, has a comparative advantage in a specific industry: 1a. Result: The interviewees who consider that India, as production hub for low-cost cars, has a leading role compare to other emerging countries (Brazil, Russia and China). 60% "completely agree" or "agree" 74% 90% 86% 10% 40% 1. Factor conditions 2. Demand conditions 3. Related and supporting industries 4. Firm strategy, structure and rivalry 5. Government 6. Chance 5.2 Finding of hypothesis 2 Results: The interviewees who considered the automotive brands as "fully premium" or "premium". Standardisation strategies Customisation strategies The Indian car market is divided in four different categories of vehicles: Passenger cars, commercial cars, three wheelers and two wheelers 78 percent of the total Indian car market is represented by LCC models In 2014, 28 different LCC models were available Three biggest carmakers: Maruti/Suzuki; Tata Motors and Hyundai Bosch Continental Knorr Bremse Mahle Definition: "Perception is defined as the process by which an individual selects, organizes, and interprets stimuli into a meaningful and coherent picture of the world. It can be described as 'how we see the world around us' " (Schiffman & Knauk, 2004). The sample does not present the total Indian population. The questionnaire was not "randomly distributed" Difficult topic and long questionnaire. No German carmaker has enter the LCC segment so far. VW is already developing an own LCC, but will the other three German premium carmakers (Audi, BMW, Mercedes-Benz) follow? Conflict: Chance to be a premium brand and a low-cost brand at the same time; for example: Airlines (Premium airline and low-cost airline; Lufthansa, Air France) Perception to premium cars 2.1 Standardisation versus Customisation 6.2 Recommendations 2.3 Standardisation vs. Customisation Overall, the interviewees prefer strategies of Customisation "own LCC brand and "acquisition of LCC maker". Audi BMW Mercedes-Benz Opel Volkswagen India is already a mayor hub for LCC's worlwide. In emerging as well as in developed markets the demand for LCC's is

Master thesis presentation

Transcript: Introduction Research Question Theory Methodology Findings and Analysis Discussion Q&A Structural characteristics Personal cognition/collective characteristics Reciprocity and Outcomes A holistic approach Entrepreneurial Ecosystems Social Interaction Switch to qualitative research Switch from deductive to mostly inductive research 2 interviewers, language, selectivism, subjectivism, reliability Methodology and methodological issues / Data Analysis Different entrepreneurial ecosystems Characteristics in the Community Contributions to members Characteristics of the Community Single Case-Study Theory building / inductive research Interviews with semi-structured interview guidelines Full transcriptions "Snowball-procedure" for coding, theme building Limitations during the Collection and Analysis The power of entrepreneurial network communities Learning Discussion Q&A How do entrepreneurial network communities impact entrepreneurship from a social capital perspective Theory Master Thesis Presentation Relevance of social capital within entrepreneurship Different streams within social capital theory What changed: Established, upcoming, emergent Today's presentation Social interaction Culture of reciprocity Entrepreneurial outcomes Learning Emotions What's the same: Subject: Entrepreneurial network communities Case study: Startup Grind Introduction Emotional Contributions ‘How does an entrepreneurial network community, like Startup Grind, impact entrepreneurs?’ Venture creation process, scarce resources (Shane and Stuart, 2002; Davidsson and Honig, 2003) A social capital schema for entrepreneurship as proposed by Gedajlovic et al., 2013 Research Question Internal and external research stream (Coleman, 1990; Putnam, 2000; Burt, 2003) Social Interaction Findings and Analysis Research gap Relationship between Social interaction-Social Capital-Entrepreneurial Outcomes Learning and Emotional contributions Multiple levels of interaction and contributions to the region Limitations and avenues for future research

Master Thesis Presentation

Transcript: Meetings: Usually meeting are not included in life cycle of a software but in this project meeting were held each Monday which indicates the end of the previous spiral and the start of a new one Master Thesis Presentation Topic WHITE-BOX TEST PLATFORM FOR ASIC API 1.3 AND DOLPHIN API V4 Why test automation ? What is test automation ? consortium of more than 250 companies promote and enable intelligent green buildings Ensure interoperability between different equipment Define specification, strategy ... Conclusion & Perspective By doctor Sébastien Bardin Project planning Old platform Old platform EnOcean GmbH EnOcean Alliance contains more than 250 company using the same technology, eventually the same API. Some of them work on a very critical applications. Therefore, an API white-box test was a must to be sure of its reliability. Ensure the quality for an embedded system API Going through an already developed project Finding the right tools for that: Keil integrated development environment Keil Simulator Batch automated scripts Finding the right tools for Analyzing and Exploit the test result: XML C#.net Software Test EnOcean Alliance Research and Innovation bugs cost a lot of money (64 billion $ in USA only) Software Validation & Verification is critical in software life cycle: building the right product building the product right Need to ensure the software quality to get certification (DO-178B for aviation) satisfy client with reasonable quality/price ratio Manual test become useless with the growth of the code New platform Software Development Life Cycle State of Art (1) Platform Design Project Methodology Sequence diagram DolphinStudio Configuring the I/O of the chip EOPX download firmware into the chip Keil PK51 creating application running on EnOcean chip DolphinView receives, sends and analyses radio telegrams ECOLE CENTRALE DE LILLE done by: Yassin BEN NACEUR The source code of the software and all the used libraries must be accessible. very precise, test cases cover more than what is specifies Numerous test cases No problem with coding the test cases but the problem is with the Oracle very sensitive to programming faults, such is miss use of if and else ... used for innovative projects PROS The design does not have to be perfect Early and frequent feedback from users Critical high-risk functionality is developed first CONS Time spent planning, resetting objectives and prototyping may be excessive The model is complex May be hard to define objective, verifiable milestones that indicate readiness to proceed through the next iteration New platform State of Art (2) White-box test School Supervisor Mr.Christophe SUEUR Company Supervisor Mr.Armin PELKA EnOcean GmBh Demonstration Introduction (1) Introduction 1 -State of Art 2 -Project methodology 3 -Platform Design 4 -Implementation 5- Demonstration Conclusion & Perspective Introduction (2) Energy Harvesting Energy harvesting wireless sensors from EnOcean use motion converter, solar cells and thermo converter EnOcean Modules fast to integrate, low cost high technology, different radio frequencies. Software friendly user interface, different tools, API, ... EnOcean Wireless Standard EnOcean wireless standard uses 868 & 315 MHz STM 300 chip Radio Frequency 868 Intel 8051 (16 Mhz) 112 functional hours in the dark Thank you for your attention Requirements specification it aims to find bugs not to check that bugs does not exist Process: choose a test case (TC) define an expected result (Oracle) run the program with that TC compare TC with the oracle Testing can only reveal the presence of errors but never their absence. E. W. Dijkstra (Notes on Structured Programming, 1972) Run as much as possible of different test cases allowing to trigger different part of the code test criteria: white-box, black-box,probabilist phases of test: unit, integration, system, acceptation, regression test Presentation Layout Porting all the old test cases Generating a reasonable code size (hex file) Calculate min and max execution time Get code coverage details Visualize test result while launching the test result Parse the test result in XML file Write the execution time in Micro second to the API header file Target operating system Windows Integrate the new platform to EnOcean nightly build system Implementation Application development flow using the Dolphin platform Master Thesis Internship Enocean GmbH - Energy Harvesting Renewing White-box test platform Learning Team-Work Adapting theory to practice Architecture is being applied to Dolphin API & will be applied to other projects Writing new test cases for Dolphin API Replace batch script & C# code with windows power-shell scripting

Master thesis presentation

Transcript: Condition monitoring system for wind turbines based on deep autoencoders Condition monitoring Condition monitoring for wind turbines Detect degraded components to prevent critical failures Sufficient time ahead to allow for planning Vibrational, oil and strain analysis Supervisory Control And Data Acquisition Remote control and monitoring Wind speed, Power, Ambient temperature Require extra equipment and are component specific Digital representation of the turbine's state Gear oil temperature, Bearing temperature, Blade angle Condition monitoring systems Preprocessing Anomaly detection Postprocessing Reconstruction of component temperature Good at predicting faults related to that temperature Which signals should model what? ...but only that... Autoencoders Autoencoders Multiple outputs Each group of faults give a fair contribution Designing a model Whitening Preprocessing Stacked training Stacked training on GPUs Training and validation set 1 year 1/2 year 1 Turbine Hyperparameters Rectified Linear Units ADAM Initial learning rate Minibatch size Batch Normalization Encoder/Decoder size Parameters selected from train and validation erors Train and validation errors Model capacity Model capacity Noise curves Noise curves Results Postprocessing Exponentially weighted moving average Validation study Yaw encoder malfunction Rotor sensor error Malfunctioning ventilation duct Grid curtailment Shifted control temperature of hydraulic oil High VCP temperatures Performance metrics Precision = TP/(TP+FP) Recall = TP/(TP+FN) Performance metrics Threshold determines trade-off Precision-recall curves Contributions and future work Main contributions Investigation of Autoencoders Model capacity Noise curves Condition monitoring system Detected a variety of faults Scalable Synthetic data? Monitor individual signals? Recommend actions?

Master Thesis Presentation

Transcript: 4. Cultivation of hepatocyte-like cells in a hollow fiber module - drug metabolizing - drug toxicity studies Upcyte Hepatocytes - panel of cell clones representing CYPs polymorphism ALAT can be also measured in vitro as a hepatocyte specific viability test. Department: Molecular Cell Biology - unlimited available Methods for the Characterization of Proliferating Human Hepatocytes - non-cancerous human hepatocytes - stable expression and activity of various CYPs ALAT Assay-Procedure 4. HPLC Aim: toxicity studies by exposing cells to new drugs General Characteristics - easy in handling and low costs 2. ALAT ASSAY Hepatocytes Drug Metabolism - high phase I and II enzyme activity - donor variability 2. Transfer of proliferation genes 3. Characterization of generated clones Results Quantitative RT-PCR - tissue availability - inducible promotor - overexpression of CAR - establishment of a 3D-cultivation system - co-cultivation - new culture medium Aim of the project - HepaFH3 cells are adherent growing, epithelial cells - Adherence assumes collagen type I coating - Commercial, defined, serum-free culture medium: Hepatocyte Growth Medium - Population doubling time of about 28 h Background ALAT Assay was purchased from Cayman Chemical Company Primary Hepatocytes Methods Stephanie Kade - dedifferentiation process, no proliferation ALAT is measured to evaluate hepatocellular injury since it is secreted by damaged hepatocytes. Liver Anatomy 1. Isolation of primary human hepatocytes - low expression and activity of phase I and phase II enzymes Non-commercial ALAT Assay was designed and established Master Thesis Outlook 3. GSH ASSAY - expansive; limited proliferation 1. Quantitative RT-PCR ALAT catalyzes the reversible transamination between L-alanine and α-ketoglutarat to form pyruvate and L-glutamate. Hepatocyte Models ALAT Assay - isolated from a hepatoma tissue HepG2

Master Thesis Presentation

Transcript: Author: Lightning Activity and Cloud Formation at the Tropopause Torsten Neubert Olivier Chanrion Krisztina-Noemi Gali Supervisors: Introduction i ? What is the purpose of the study? How is the purpose achieved? Why is this study performed? Lightning Activity Type Types of lightning https://fineartamerica.com/featured/cloud-to-ground-lightning-john-a-ey-iii-and-photo-researchers.html Source: Cloud-to-ground Ground-to-cloud Intra-cloud Cloud-to-cloud http://tonylebastard.deviantart.com/art/Ground-to-cloud-lightning-335022139 Source: http://weatherpix.photoshelter.com/image/I0000bLZPFGJrOUE Source: http://scribol.com/science/meteorology/cloud-to-cloud-lightning/ Source: Types of lightning https://fineartamerica.com/featured/cloud-to-ground-lightning-john-a-ey-iii-and-photo-researchers.html Source: Cloud-to-ground Intra-cloud http://weatherpix.photoshelter.com/image/I0000bLZPFGJrOUE Source: Network Lightning networks Cloud Formation Type http://www.bbc.com/news/world-europe-32601555. Map source: OT Channel No. Spectral Band (μm) Characteristics of Spectral Band (μm) Centre Min Max 1 VIS0.6 0.635 0.56 0.635 2 VIS0.8 0.81 0.74 0.88 3 NIR1.6 1.64 1.50 1.78 4 IR3.9 3.90 3.48 4.36 5 WV6.2 6.25 5.35 7.15 6 WV7.3 7.35 6.85 7.85 7 IR8.7 8.70 8.30 9.10 8 IR9.7 9.66 9.38 9.94 9 IR10.8 10.80 9.80 11.80 10 IR12.0 12.00 11.00 13.00 11 IR13.4 13.40 12.40 14.40 12 HRV Broadband (about 0.4 - 1.1 μm) http://www.eumetrain.org/data/2/204/204.pdf Source: SEVIRI channels OT detecting methods Global Convective Diagnostics Setvák, M. Cold-ring and cold-U/V shaped storms. Czech Hydrometeorological Institute, Prague, 2009. Source: Cold-ring and cold U/V shaped storms Case Studies 1 2 3 Discussion Conclusion C ? Questions? Thank You For Your Attention!

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