Bear-Aid Corp.
Introducing....
Catastro-Free®
Engineered Solutions
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Our Products
Introducing
Catastro-Free® is a simulation software designed to aid the Federal Emergency Management Agency (FEMA) generates a random disaster scenario which allows them to investigate whether a city is equipped with the optimal number of ambulances and hospitals. This is a cost-effective alternative to carrying out disaster exercises in the city to test disaster preparedness.
Emergencies are surprises beyond anyone's control.
But being prepared for emergencies is what makes the
difference between a thousand lives saved and a thousand
lives lost. At Bear-Aid, we dedicate ourselves to developing
quantitative tool for cities nationwide; assisting them in
disaster-relief planning. We pride ourselves in building
simulation models that are easy to use, realistic and robust.
Our Team
Jeslyn Su Project Manager
Laura Ku Lead Programmer
Laura Ku
Lead Programmer
Stephanie Wijaya Creative Director
Stephanie Wijaya
Creative Director
Alvin Tantri Chief Engineer
Alvin Tantri
Chief Engineer
Cindy Mulyasasmita System Analyst
Cindy Mulyasasmita
System Analyst
Laura Ku is a fourth-year Operations Research Management Science and Psychology double major who is interested in computer simulation. She is familiar with C/C++ programming and has a knack at modeling which makes her a valuable member of this group. She is the core designer and coder of our models.
Team Bio
Alvin Tantri is a fourth-year Industrial Engineering & Operations Research major who had extensive experience in computer programming. He is skilled at multiple programming languages including C++, Matlab and Java. Alvin has had an experience in a business start-up together with Cindy and Stephanie where they developed an online rental for couture dresses in an Entrepreneurship class at UC Berkeley. He is responsible in translating and testing our models.
Cindy Mulyasasmita is a fourth-year Industrial Engineering & Operations Research major whose interest lies in Queuing Theory. She is also an adept programmer in C++ and Matlab. Being involved in a research in Air Traffic Flow Management, she has access to one of the best research facility in UC Berkeley. Cindy also has had an experience in a business start-up together with Alvin and Stephanie where they developed an online rental for couture dresses in an Entrepreneurship class at UC Berkeley. She plays an important role in identify the limits of our models as well as enhancing their realistic aspects.
Jeslyn Su is a fourth-year Operations Research Management Science and Economics double major. She brings a new perspective to the project through integrating her Economics knowledge with the Industrial Engineering problem. Having worked at the UC Berkeley Workstation and MicroComputer facilities, she is also conversant with various computer programs such as Adobe Photoshop, Dreamweaver and Visio. She is the core director and manager of our products.
Stephanie Wijaya is a fourth-year Industrial Engineering & Operations Research major. She has experience working with Adobe Photoshop and is proficient in Excel. Stephanie also has had an experience in a business start-up together with Alvin and Cindy where they developed an online rental for couture dresses in an Entrepreneurship class at UC Berkeley. She directs our team in our product designs and marketing.
OFFICE
University of California Berkeley
Bechtel Engineering Library
2nd Floor
(510) 245-1234
contactus_Bear-Aid.Com
Bear-Aid was founded in February 2009 at UC Berkeley back at North Gate Building. Our team consists of bright students who have a passion for creating products with a noble purpose. With our knowledge in computer simulations of industrial engineering systems, we put our brains together and worked on building models that are designed to serve the community. After two months of endless dedication, we successfully launched our very first masterpiece, Catastro-Free®, for use in city governments in their disaster-relief plans.
We provide the best emergency planning tool
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Our products are designed to simulate a random scenario that can be used to investigate whether a city is equipped with the optimal number of resources.
Our products are cost-effective alternatives to carrying out disaster exercises in a city to test disaster preparedness. Get intelligent and comprehensive results that match your corporate standards.
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Utilize our user-friendly graphical interface. It is highly customizable to different situations in a city because the user has the ability to specify the size of the population, disaster location and capacities of hospitals and number of ambulances available. It also allows you to simulate different types of disasters having different impacts.
We simulate the disaster situation you desire within seconds and provide you with a prediction on the number of victims that can be saved with the given number of resources. At the end, statistical analysis will be produced to accommodate uncertainties.
Our product is designed to help city governments simulate a random disaster scenario which allows them to investigate whether it is equipped with the optimal number of ambulances and hospitals. This is a cost-effective alternative to carrying out disaster exercises in the city to test disaster preparedness.
A city needs to optimize the number of ambulances and hospitals it requires when a disaster strikes. Our simulation program solves this question. First, when the simulation program is run, we first generate a disaster. A random point within the city limits is picked as the center of the disaster. The disaster area is then generated as a circle with a certain radius depending on the user-specified disaster intensity. If a hospital is within the disaster area, it will be taken out and will not be available to serve. Injured people are categorized into 4 types (1, 2, 3, and 4) with 4 having the highest priority. The proportion of each category is also determined by the intensity. Each category of injured people also has a constant lifetime, meaning that they will die at some fixed time if not treated.
Ambulances will transport the injured people to the closest available hospitals. The injured people will stay in the hospital for a uniformly distributed amount of time depending on the severity of the injury. The ambulances will then keep going back and forth to transport the people out. A count of the number of casualties is kept. Casualties are sent to the closest hospital and disaster area is generated randomly to resemble the randomness in reality. If injured people are not sent to the hospital within a period of time that they can survive, they will die and they will leave the system immediately. Currently, Catastro-Free® is programmed especially to serve the city of San Francisco. If you are interested in using Catastro-Free for another city, please contact us.
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