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Spring Title Presentation Background

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Background presentation

Transcript: Go on Exchange present your country abroad Work with different mentalities Diversity Explore different cultures Be a Member Develop your skills Have an impact Enrich your knowledge AIESEC Be a Leader Lead your team Achieve your vision Coach others Be a mentor EXPERIENCE YOUR AIESEC JOURNEY Gives you a great experience

Title, Problem & Background.

Transcript: Errors: 1. The sugar water wasn't strong enough. 2. If the egg wasn't in a stable environment before the lab. Title, Problem & Background. Procedure and Data. Hypothesis: If we put an egg without a shell in salt water, then the egg will become hypertonic. Materials: 1 chicken egg plasma membrane 2 solutions of your choice Balance 1 glass jar/cup Vinegar 1 string/yarn 1 ruler 1. The substance that we put the egg in is the IV and DV was the result of what happened to the egg. 2. The control was the egg in the regular water and we needed it to compare the outcomes. 3. The egg swelled more in the water because the egg had more solution than the water. 4. The egg shrunk in sugar water because the water had more solution than the egg. 5. The results in questions 3 & 4 support our hypothesis because the egg swelled in water and shrunk in sugar water. 6. Osmosis is the diffusion of water. Osmosis is a passive transport method which moves water molecules from high to low concentration. 7. Passive transport doesn't require cell energy. Active transport requires ATP. Passive moves cells from high to low concentration. Data: Conclusion, Sources of Error and Works Cited. Procedure: 1. Take one chicken egg plasma membrane and place it into vinegar. Keep it in until the shell of the egg is off. 2. Once the shell is off, place the egg into a glass jar/cup of sugar water. Keep it in the sugar water for about 24 hours. 3. Take the egg out and measure it with the string/yarn, going all the way around the egg, then taking it off to measure the string with the ruler. 4. Repeat steps 2-3 if desired for more data. Conclusion: In this lab, we observed the effects of how an egg in sugar water reacts (hypotonic, isotonic, hypertonic). As seen in the data, the egg increased in both length and weight, until the 4th day, in which the weight dropped about 30 g. This lab proved our hypothesis wrong because the egg was hypotonic, and it expanded, which is why the weight and length increased. Egg Lab Presentation By: Noah, Daniel, and Hansen. Hypothesis and Materials. MLA Format: "Shrinking Eggs!" Science Sparks. N.p., n.d. Web. 26 Sept. 2013. IV Egg in Sugar Water DV: Height and Weight of IV Control: Egg In Regular Water Constants: Type of Egg; Type of Environment; Temperature Title: Egg In Sugar Water. Problem: What will happen if we put an egg without a shell in water with dissolved sugar in it? Background Information: When you place an egg without a shell in sugar water for about 24 hours, the egg should shrivel up. Lab Questions.

Background Presentation

Transcript: 14th Week Consulting interns can be expensive Time and Money Personal Experience Preliminary Design Stage NFPA 101 and NFPA 13 New and Existing Education, Business, and Mercantile Definition of Project This app would be used to provide interns and recent graduates with an outline of guidelines for how to design and review designs of specific occupancies. With the given time frame, I will be writing the information that will go into the app Begin parametric study: Speak with my mentor and Jason to understand more about what critical variables I could concentrate on for this app. Choose those parameters and begin my study Gather information from NFPA 101 and NFPA 13 for new and existing education, business, and mercantile occupancies. By: Breanne Thompson Next Steps (Continued) Finish preparing for Draft of Analysis Pull together and discuss results of project Draw my conclusions and state future work needed Turn in Final Paper! 10th and 11th Week Turn in my parametric study Begin draft of analysis Map out the process of the app for the key elements 15th Week References Next Steps 7th Week Prepare for Final Presentation Summarize my draft of analysis into presentation Work on how to incorporate a live demonstration for my presentation App Development Background Information 8th-9th Week Continuous Process Objective-C for Apple products Java for Android products 6 months of studying Places to Learn: Codecademy, iOS Dev Center, Android Developers Training Hire App Developer will cost thousands Prepare Final Paper Dive into Shark Tank! 1. http://lifehacker.com/5401954/programmer-101-teach-yourself-how-to-code 2. http://www.bluecloudsolutions.com/blog/cost-develop-app/ 6th Week Background Presentation 12th-13th Week

Spring presentation

Transcript: Work Experience Oakland, CA Xbox Controlled Goals Lives In The Intern at Autobots, Inc. (2010) Research Associate at IHMC (2011) Senior Protector of all things American (2014 - present) Thank you! Mark II Incorporate updated upper body Set up control architecture Get Megabot team up to speed with our software Photos Teleop Simulation like comment share Four Bar Kinematic Loop Slope like comment share The streets of Oakland don't respect your fancy pieces of paper Phase 0 - Actuator sizing Phase 1 - Balance controller Phase 2 - Embedded computer system Phase 3 - Collisions during combat Real time Story of my life Use: Inverse Dynamics Tools Loop closure: Four bar calculator Behavior: a single joint (Jacobian) Four New Sims Turning Giant robot fighting Protecting democracy Driving over rubble Punching 18-wheelers Knitting Game-like like comment share IHMC Ball collision Hitting a curb Status Update Education Interests

spring presentation

Transcript: By: Layne Ogle and Emily Rose Place your logo here Every Decision Counts Pre-Production Brain Storming We came into spring presentations with a clear mindset that we wanted to do a happy fun film. However over the course of a few weeks we changed our minds to do a more serious and informative topic. We decided to go with abortion because it is a problem we face today. Therefor, our targeted audience is teens and young adults. picture of story board Story board video Every Decision counts when we were filming we decided to use a lot of low angle shots so that we didn't show anyone's face. We wanted to do this because our topic is very controversial and no one really wants there face to be tied to a controversial topic. filming The equipment we used for our video was an iPhone for filming because its better quality than some of our school cameras. We used Imovie for editing because with our busy schedules it was more convenient because we had it on a laptop at home, and we were both more familiar with it. Lastly we used a Canon Rebel camera to take all of our photos in our portfolio. Equipment The audience is intended for teenage women and young adults. It's also for everyone because we want to show awareness and show you abortions are a big problem to our society today Audience t-shirt design T-shirt design website website https://everyprecioussecond.weebly.com/importance.html Rights and Information Our music came from sound cloud and it was free to download. The locations for filming were a house, a clinic, and a car The Second song all of me was a cover By:Daniel Jang The first song Say Something was also a cover By: Daniel Jang When we were filming we had to find a location we could use as the clinic without showing the location. Also when we were filming we had to work around the equipment already there because it didn't go with our film. Lastly we had to find actors that would be able to be in our film. This was kind of hard because there were only a few select days where we could film. struggles problems we over came

Background Presentation

Transcript: Real action and accountability Amnesty International Non-state actors/ Rebel Groups?? ...and what about men?? ignoring male rape victims? would rape exist without a man? Weapons of War: Rape UN as an Arena - NGO's - Discussion and dialogue Arena Instrument Actor Critical Thinking Weapons of War: Rape UN as an instrument UNSC Resolution 1820 (2008) UN as an Actor - UN Action Against Sexual Violence in Conflict Weapons of War: Rape Problems with 1820 "Roles and Functions of International Organizations" "Sexual violence, when used as a tactic of war in order to deliberately target civilians or as a part of a widespread or systematic attack against civilian populations, can significantly exacerbate situations of armed conflict and may impede the restoration of international peace and security… effective steps to prevent and respond to such acts of sexual violence can significantly contribute to the maintenance of international peace and security" (UNSC Resolution 1820, p. 2)" http://www.stoprapenow.org/uploads/advocacyresources/1282164625.pdf Background Presentation- Kristin Mann Weapons of War: Rape Brief Insight - used to manipulate social control - destabilize communities - weaken ethnic groups and identities Examples: - Sudanese Militia - Rwanda Genocide - DRC Critical Thinking http://www.womenundersiegeproject.org/blog/entry/the-need-for-numbers-on-rape-in-warand-why-theyre-nearly-impossible-to-get Critical Thinking Increased Data Collection by international organizations - determine humanitarian responses - ensures justice and reparation - provides recognition and dignity

Spring Presentation

Transcript: REAL-TIME TRAFFIC MONITORING IN UL Name - Raghul Gopal Course - Computer & Communications Systems Title - MEng Project CCS (EE9971) Supervisor Name - Dr. Ciaran MacNamee Instituition - University Of Limerick Name - Raghul Gopal Course - Computer & Communications Systems Title - MEng Project CCS (EE9971) Supervisor Name - Dr. Ciaran MacNamee Instituition - University Of Limerick Intro Introduction The aim of this project is to detect and capture the pattern of vehicles, signals and to analyze the traffic patterns of the road being monitored in real time. The main aim not only lies with the automatic monitoring but to convert that real time data gathered to useful information for many applications. Key Features Key Features The system uses the real time data to visualize the traffic showcasing the dip and the peak traffic patterns based on different time of the day. This technique can also be implemented for public transport for optimal scheduling and routing. This information can be used by road engineers to effectively analyze the monthly and yearly patterns of high traffic zones and design a better mapping and road structure. All the data gathered is uploaded to a server/cloud and stored in a database. A web app is designed and developed for easy access and users can get alerts showing the traffic congestion and given alternate routes suggestions. Components Design & Components Lightweight Cheaper Better Image Sensor Wider Angle Part of Pi which gives freedom and more control over the features Small Size Portable and easy usage Increased Power Programmable by multiple languages Ability to perform demanding tasks in its small form Software tools used Raspberry Pi Pi Camera V2 Plotly OpenCV Design Design Training the neural network 1. Setting up with the Object Detection API The training process started with the setup of various tools and software required for detecting the objects. First, TensorFlow’s object detection API is used to train a classifier. TensorFlow GPU was used as our own system’s graphics card can be utilised and substantially reduces the training time (3 hours instead of 24). Next, toolkits like CUDA and cuDNN and additional Python packages like pillow, cython, jupyter, pandas,matplotlib and opencv were setup for the TensorFlow Object Detection API. Progress Setting up with the model zoo Which Model ? TensorFlow offers plenty of pre-trained classifiers with unique architecture in its model zoo . Detection models like SSD-MobileNet have an architecture that allows for faster detection but less accurate compared to other models such as the Faster-RCNN model which is slower in detection but is far more accurate. Faster-RCNN-Inception-V2 model is used for more accuracy even if its slower. Data for training model Collecting Data Collecting data sets for training a neural network is crucial and a large amount of images of an object to train, can produce accurate results and a robust detection classifier should be able to detect the desired object with random objects in the image, different lighting and backgrounds. For the Vehicle Detection classifier, we require the detection model to detect mainly vehicles which are classified (cars, trucks, bikes and buses) and their count to generate a real time graphs of the traffic frequency. I used stock images from Google Image Search and few other image sites for the vehicles in a traffic situation and used surveillance footage of moving cars. The photos contained each car on its own on road and rest of the photos having plenty of vehicles on road. The time to train the classifier depends on the size of test data. Some photos were larger in size (greater than 1000KB) which consumed more time to train, so those photos were used at last. 20% of the images were used to test and 80% of the photos were used to train the classifier. Labeling Labelling After the images has been gathered, those images are labelled for the desired objects to be detected in every picture. For that purpose, LabelImg is used. LabelImg is a graphical image annotation tool. It is primarily written in python and uses Qt for graphical interface purposes. The annotation made are saved as a XML file containing each image’s label data. The generated .xml files will be used to create TFRecords which is one of the inputs for the TensorFlow trainer. TFRecords makes it easy to combine multiple datasets and integrate it seamlessly with the data import provided by library. After labelling each image in the folder, a single .xml file was produced for each image which is moved to the test and train directory. Samples Training Training The xml files generates .csv file, containing all of the data of the testing and training images. Two .csv files namely train_labels.csv and test_labels.csv files are created for testing and training and unique ID was given to each object to be detected. Next, Label Map was created to inform about each object desired to be detected, to the trainer by mapping class In

Background Presentation

Transcript: Death rate 2012: 12.84 deaths/1,000 population (World ranking: 22) Infant (Child Mortality) Total: 79.02 deaths/1,000 live births (world ranking: 10) HIV/AIDS (2) Appropriate Technology Landlocked country Great African Rift Valley system: East – Lake Malawi South – mountains, tropical palm-lined beaches Mainly a large plateau, with some hills Lake Malawi (Lake Nyasa) Almost 1 million people have AIDS 60% of these are female Declining in urban areas, Rising in rural areas Leading cause of death amongst adults Contributes to the low life expectancy: 54.2 years 209th ranking (One of the lowest) 500,000 children have been orphaned due to AIDs Micro-finance Policy Framework and Strategies (Health SWAp) increasing the availability and accessibility of antenatal services; utilization of skilled health personnel during pregnancy, childbirth and postnatal period at all levels of the health system; strengthening the capacity of individuals and institutions to improve maternal and neonatal health; increasing the number of skilled health personnel; constructing and upgrading health facilities to offer essential health services particularly focusing on rural and underserved areas; and provision of ARVs and micronutrients during pregnancy. Geography of Malawi CCST 9004 Appropriate Technology for the Developing World Indicator 3: Literacy Rate of 15 – 24 year-olds According to the World Bank, microfinance is defined as: Microfinance is the provision of financial services to the entrepreneurial poor.This definition has two important features:it emphasizes a range of financial services—not just credit— and it emphasizes the entrepreneurial poor. Goal 2: Achieve Universal Primary Education Appropriate Technology: SIRDAMAIZE 113 Population: 16,777,547 (estimated in July 2013) Population growth rate: 2.758% (2012 est.) (World ranking: 18) Age structure Children: 50% of total population HIV/AIDS Human Resources Education Poverty Food Insecurity Erratic Rainfall Patterns/Droughts Corruption Lack of Foreign Investment Languages Indicator 5: Proportion of seats held by women in National Parliaments Central Region: 1-9 (Yellow) *Capital: Lilongwe Northern Region: 10-15 (Red) Southern Region: 16-27 (Green) Lake Malawi (Blue) Land surface area 45,747 square miles Challenges: · shortage of qualified primary school teachers; · inadequate physical infrastructure; · poor retention of girls mainly from standard five to eight; · high disease burden due to HIV and AIDS consequently leadinto absenteeism, especially among girls who take care of the sick · Poverty levels are high in rural areas. Malawi – Climate/Agriculture Trading partners: South Africa, Zambia, China, US Challenges: · shortage of qualified primary school teachers; · inadequate physical infrastructure; · poor retention of girls mainly from standard five to eight; · high disease burden due to HIV and AIDS consequently leading to absenteeism especially among girls who take care of the sick; and · poor participation of school committees and their communities in school management. · Poverty levels are high in rural areas. 1 Doctor per 50,000 people Hinders the ability to deliver medical services to people in need Reason: Emigration Lack of access to education Aggravated by AIDS > 4 nurses are lost each month This also affects other sectors: Government Business Farmers Human Resources HIV/AIDS - Contemporary GDP: US $14.58 billion (2012 est.) (World ranking: 142) Labor force: agriculture: 90%; industry and services: 10% (2003 est.) Countries main income Agriculture Main crops: maize, tobacco, tea, sugar cane, groundnuts, cotton, wheat, coffee, and rice Industry: tobacco, tea, sugar, sawmill products, cement, consumer goods Challenges: limited capacity in terms of human and material resources to facilitate adult literacy and continuing education; early marriages perpetuated by socioeconomic factors; socio–cultural factors that make people believe that men should be leaders while women are followers; and, poor learning environment which affects girls in primary and secondary schools e.g. sanitary facilities, long distances to education facilities, extra burden from domestic chores especially for adolescent girls resulting into high dropout rate. 1964: Independent from Britain Indicator 1: Maternal Mortality Ratio Malawi Demographics Problems - Outline Indicator 4: Share of Women in Wage Employment in the Non- Agriculture Sector measure of employment opportunities ( i.e equal proportions of men and women in formal employment) Yet, more women participate in the agriculture sector than in the formal wage employment especially in jobs that require professional qualifications. Due to: literacy levels, gender disparity and cultural values. Facts About the Product: Drought tolerant maize variant Able to mature under limited rainfall Suitable for marginal rainfall areas 136 days to mature Normally: 150 – 180 days Able to mature under limited rainfall Suitable for marginal rainfall areas

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