Showing posts with label brainstorming. Show all posts
Showing posts with label brainstorming. Show all posts
Wednesday, July 12, 2017
Brainstorming at Google
Brainstorming at Google
Fast Company has published an article this week titled, "How to Brainstorm Like a Googler." The author is Veronique Lafargue, global head of content strategy at Google Apps for Work. In many ways, the title ought to be, "How Google Employs IDEOs Design Thinking Process." The article highlights the three broad phases of design thinking: understanding and empathizing with the users, brainstorming, and prototyping. The video below shows you a bit more about how this process works at Google.
The article has a couple of helpful tips and reminders for those engaged in brainstorming in their own organizations. First, Google practices 10X thinking when they brainstorm.
"The notion of "10x thinking" is pretty familiar in the business world by now, and its at the heart of how we innovate at Google. Its about trying to improve something by 10 times rather than by 10%. One example is Project Loon, our initiative for providing internet access to everyone: An incremental solution would be to just install more fibers, whereas a "10x" idea is Project Loon—a network of balloons traveling on the edge of space, designed to connect people in rural and remote areas and help fill the hardest-to-reach gaps in coverage."
Second, Google encourages people to try to state their ideas as concisely and crisply as possible. Google talks about writing headlines.
"Being able to describe an idea in less than six words helps you clarify it. Imagine your favorite media outlet or magazine covers your great idea: What would you want the headline to read?"
Third, dont wait to prototype. Move quickly from brainstorming to prototyping.
Most brainstorming sessions end with an agreement to have another meeting later, to take those ideas and work them up further. Its a common mistake. You want to strike when the iron is hot—you dont want to walk away or agree to follow talk with more talk. Here at Google, we like to build a quick prototype pretty much right away.
Available link for download
Thursday, April 20, 2017
Brainstorming Designing an Intelligent Transportation System ITS
Brainstorming Designing an Intelligent Transportation System ITS
Growth in congestion, as well as the difficulties in constructing new infrastructures has lead into a research in Intelligent Transportation System (ITS). The advances in sensing technologies, computer hardware and software, etc are also become additional motivation in this field of research. Automatic Highway System (AHS) is one of the most interesting topic. Its main idea: platooning is believed to be able to improve highway throughput without having to ignore the safety but instead improving it.
It is widely known that knowing the position and speed of the vehicles on the road network in real-time is one of the major challenges that vehicle control and traffic management applications are facing. Wireless Sensor Network (WSN) is considered as a potential technology that might be useful as an infrastructure component of an ITS since it received significant attention in the last decade and successful research put them in the forefront to answer this challenge. WSN itself is an exciting technology with unlimited potential for numerous application, including tracking, monitoring, and controlling.
A distributed paradigm is the most suited approach to implements an ITS. While it is naturally distributed (spatially) and consisted of various components, which may range from several to thousands number of components (scalability issue), it is also relatively complex. Not to mention that by distribute the implementation accordingly, a certain level of reliability could be achieved more easily. Dynamic components in ITS are implemented as agents. Instead of rely heavily in modeling the process, agent-oriented paradigm offers a higher abstraction compared to the object-oriented paradigm. Agent is an autonomous entity that behaves according to its perception of the environment and its knowledge. In most cases, one agent is not enough to form the expected system. Therefore, a Multi-Agent System (MAS) is required.
Since there is no formal method to test a distributed system, the only way to do it is by using a simulation. An engine that capable of simulating any dynamic behaviors is required. Using multi-agent approach as it concept, a researches is allowed to decomposed a big system into intelligent entities with specified behaviors. In a traffic system problem domain, some entities could be considered as agents: car, driver, traffic controller, etc depending on the modelers themselves.
The simulation of an ITS system might not be complete without the introduction of human behaviors. However, human behaviors may vary for each individual or culture. Investigating the difference in culture might be interesting not only in describing the human part of the system but also to parameterize some characteristics of controllers.
It is widely known that knowing the position and speed of the vehicles on the road network in real-time is one of the major challenges that vehicle control and traffic management applications are facing. Wireless Sensor Network (WSN) is considered as a potential technology that might be useful as an infrastructure component of an ITS since it received significant attention in the last decade and successful research put them in the forefront to answer this challenge. WSN itself is an exciting technology with unlimited potential for numerous application, including tracking, monitoring, and controlling.
A distributed paradigm is the most suited approach to implements an ITS. While it is naturally distributed (spatially) and consisted of various components, which may range from several to thousands number of components (scalability issue), it is also relatively complex. Not to mention that by distribute the implementation accordingly, a certain level of reliability could be achieved more easily. Dynamic components in ITS are implemented as agents. Instead of rely heavily in modeling the process, agent-oriented paradigm offers a higher abstraction compared to the object-oriented paradigm. Agent is an autonomous entity that behaves according to its perception of the environment and its knowledge. In most cases, one agent is not enough to form the expected system. Therefore, a Multi-Agent System (MAS) is required.
Since there is no formal method to test a distributed system, the only way to do it is by using a simulation. An engine that capable of simulating any dynamic behaviors is required. Using multi-agent approach as it concept, a researches is allowed to decomposed a big system into intelligent entities with specified behaviors. In a traffic system problem domain, some entities could be considered as agents: car, driver, traffic controller, etc depending on the modelers themselves.
The simulation of an ITS system might not be complete without the introduction of human behaviors. However, human behaviors may vary for each individual or culture. Investigating the difference in culture might be interesting not only in describing the human part of the system but also to parameterize some characteristics of controllers.
Related Posts
- Automatic Highway System (AHS)
- Wireless Sensor Network and Intelligent Transportation System
Available link for download
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