Materail Detail Drawing

Arch372_Draft2_DilaraÖzlü

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Analyses of Solaris Tower

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The Solaris Tower by Ken Yeang was analysed by G. Doruk Atay and Nilay Karaköy. 

Again, before the proposal I’ve done about sustainable design, we analysed Solaris Tower with my group member, and actually this project was a very good reference for me. So very briefly, there was a court-yard which provided natural sun light for the users, and besides this, it was an element for natural ventilation. The courtyard unable the users to use the spaces very efficiently. The building has a green roof, and there are floors where the users can walk all around the building without being interaptuded. There are also sensors which help to open the roof of the courtyard. Sometimes green has been used as balancing the sun light, this way the temperature of the interior would stay the same.

Sustainable Design

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In one of the courses I take this semestre, my proposel was about sustainable desings. This topic was something I came across very commonly, but I never thougth about it too much. So, the desing I presented,which has very initial desing decisions, is very important for me, because it is my first project. Before doing my research, I had some feature which effected the desicions I took from Solaris Tower.

Analyses of Solaris Tower

Intelligent Virtual Environment

Today, artificial intelligence and virtual reality have big importance in our lives. They are both used individually very effectively in many areas. The research done about both fields show that, if virtual reality and artificial intelligence were combined and used together, human beings would have a safer future and efficient intelligent machines which will gain experience and learn through self-training in realistic simulations without the need of human beings effort. The combination of virtual reality and artificial intelligence is called intelligent virtual environment. The continuing growth in the amount of computing power, the more widespread availability of 3D graphics software and standards, and the natural language processing are some strong and supporting reason to use VR and IA together (Kamath, nd, pg1).  So to understand the relationship between artificial intelligence and virtual reality better, we must firstly understand them each individually very well and then inter-relate them with each other.

Artificial intelligence is the general name of the technology for the development of machines, which are created entirely by artificial means and can exhibit behaviours like human beings, without taking advantage of any living organism (Mijwel, 2015, pg.3).

As the world was developing rapidly, humans were in a need of high-quality computer systems. It all dated back to Ancient Greek era which there were lots of humanoid robot ideas. By that time, Daedalus and Charles Babbage were two scientist who tried creating an artificial human, however stopped working on mechanical machines because they did not have very qualified devices. Philosophers were also trying to help scientist by defining the system of human thoughts. The research done till the invention of the universal calculator by the British mathematician Alan Turing, weren’t very effective. But after 1936, the basic principles of Turing machine made artificial intelligence possible. In accordance with Turing’s thoughts, a machine would only exist, unless it was solving the problems by using algorithm and presenting the solutions (Mijwel, 2015, pg.3). So briefly, with the invention of the practical digital computers, artificial intelligence was more achievable. Actually, 1956 was the first time artificial intelligence was discussed in a conference at Dartmouth College. Chess games and logic theorems were introduced as application of AI. Even between 1965 and 1970’s was the dark period, after 1970’s the AI gathered a momentum and developed unpredictably fast. Machine learning was another application started to be used very commonly in artificial intelligence. The progress in systems also led other branches of science to be considered in AI. In time, artificial intelligence aimed to solve problems of human beings. Today, we can say that artificial intelligent products are more than just a technological device. What makes AI products this important is that they have very common characteristics of human beings. Making decisions, predicting and having feelings were all possible in AI products and these have a major improvement and affected the way we live our lives. Since, they are learning machines, have an ability to learn and interpret, this is the point where artificial intelligence gain importance and interact with virtual reality. Virtual reality will create a safe zone for machine learning to experience new situations.

Machine learning is an application of artificial intelligence and a field of computer science that uses static techniques to give computer systems the ability to “learn” and progressively improve performance on a specific task with data, without being explicitly programmed. Arthur Samuel was the one who underlined it in 1959 and, it was evolved by the study of pattern recognition and computational learning theory. Machine learning is a study and a construction of algorithms that can learn and make predictions from data, which similar capabilities are also seen in a human brain. So, to be clearer, the process of learning starts with observing and analysing data, to search for patterns in data. After the research is done, it aims to make the best prediction by using the previous experiences stored as outputs.  Briefly, what machine learning focuses on is automatic learning, a learning by minimizing the need of human interpretation, hopefully one day it would be without the need of human beings involvement and effort. Machine learning is cost effective and practical when compared with manual programming. It is also time efficient. If there is lots of data for interpretation, then this means that there will be that much solutions for the problems, and also having a wide range of solutions mean having less difficult situation and well working mechanisms. Thus, this is the reason why we can use virtual real world for increasing the quality of machine learning.

Very briefly, without digressing the topic, virtual reality gives humans an opportunity to analyse their surrounding on a three dimensional made up world as if it is real. Since VR is more than just a 2D world, it also aims a strong interaction with the simulated environment.  So it would be beneficial to use virtual reality environments for testing in safe zones. VR is not just only a device for visual communication, but today it is also used in many other branches such as treatments in hospitals. To clarify what I mean, I will explain both VR and AI by making reference to “Virtual Reality As a Training Tool Used to Treat Physical Inactivity in Children” written by Kiefer, Myer, Pincus and Richardson. As mentioned in the article, lack of adequate physical activity in children is a health problem seen very commonly in early ages of human-beings which might also have dramatic health problems in adulthood lifespan if it is not treated. The research done by specialist show that, virtual reality and artificial intelligence have very important impact on the treatment of this physical and mental illness. The basic problem the kids suffer in this health issue is the movement confidence and competence. So, virtual reality training will give an opportunity to integrate the necessary information-based interventions into simulated play in such a way that the child can learn to exploit these perception-action relations at their own pace to optimize motor skill learning development (2017, pg.2-3). Such scenarios which will be solving the confidence problems of kids and developing their skills will be possible in a safe and fun virtual real environment. Since virtual reality is a computer generated simulation of a three dimensional image and an environment, for kids it is important to feel in a real world rather than an imaginary one. To inhibit any kind of unrealistic world sense, the used technology in virtual reality devices is very important and the technology used here will be one which includes lots of developed features. So in this treatment device, the kids must feel the real space scale movement, it must be a good navigation system for both walking and running activities. The objects used in the virtual world by the kids should not have scale problem, the object the kids will play with must have similar scales. The background also must be a realistic one and the glasses used by the kids to demonstrate the virtual world must have 180 degree eye angle or else human sight will understand the differences and the kids won’t feel like they are in a real world. Artificial intelligence gains a lot more importance in the scenario related tasks. So, since different task will improve the abilities of the kids, the mechanism must be able to give response to any kind of situation the kid will give. There might be some situations where the kid will end up talking with imaginary human models, and this will be only available by the adaptive artificial intelligence. The AI will say what will happen next when the kid and the avatar meet by looking at the responses the kid gives as a data collected from learning principles of the AI device. A complex artificial intelligence background will drive larger scale behavioral networks of artificial agents that interact with the real environment and with it, each other and the kid through a lot believable way. As the training in these scenarios progresses, the visual information can change given as an output by the devices will change until it matches the real world (2017, pg.3-4). So, what it meant here is, the device will understand the reaction of the kid, make an interpretation and learn what it really is. Lastly, it will give a response, one which will be the most appropriate for the situation the kid is in like as in the real world.

Virtual reality and artificial intelligence is not only used in health sector, but the technical opportunities given by VR is also used for a simulation tool for training automatons such as drones and robots. Referring to a web article written by Simon Solotko in 2017, NVIDIA, a computer system writer, has started using VR inputs for training drones, using simulated visual input and testing the accuracy of the navigation system. As it is stated, drones were using 3D images as algorithms to maintain accurate position and navigation. Without any doubt, this is possible by the stereoscopic simulated visuals. NVIDIA is also planning to use VR for education platform in self-driving cars. They are aiming to create an imaginary world for cars where the humans, buildings, animals and other cars will become obstacles for them and learn self-driving without given real damaging harm to real environment. Briefly, similar with the previous example, there will be inputs and outputs which will be calculated in AI devices, and with the VR technology AI will develop its thinking logic.

While the data is being collected in artificial intelligent devices, the collected data will be represented by mathematical equations and in some visual data representation techniques such as graphs. Since AI devices are capable of interpreting the data and learning from it, they also can transform new inputs and store them as outputs in their memory. If there is an input the device never has faced to, then it will give the most appropriate response by searching the output from its memory. So rather than trail-error in the real world, virtual reality environment will create an imaginary real world to test the devices’ working system. By this way, the testing process would be done in the safest ways. Here, in VR environments, the responses given as output data by the devices are  not only effected by the real humans behaviour, but the virtual real world will also be effected by the circumstances the AI environment is in. The place, the time, the weather conditions in AI systems will all have effects on the type of the responses given by the AI device systems. So since it would be easier to produce different possibilities to represent different conditions in virtual world, the learning process would also be more effective. Testing and learning process would be done safest as possible without given damage.

REFERENCES

Mijwel, M. (April 2015). History of Artificial Intelligence

Smith, C. (December 2006). History of Artificial Intelligence, History of Computing

Winston, P. (May 1993). Artificial Intelligence

Domingos, P. (n.d.). A Few Useful Things to Know about Machine Learning

Mandal, S. (April 2013). Brief Introduction of Virtual Reality & its Challenges

Mazuryk, T. (n.d.). Virtual Reality History, Applications, Technology and Future

Luck, M. (n.d).  Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environment

Cipresso, P. (January 2015). Virtual Reality for Artificial Intelligence: Human-centred simulation for social science

Kamath, R. S. (n.d.).  Integrated Artificial Intelligence and Virtual Reality-A Feasibility Study

Kiefer, A. W. (December 2017). Virtual reality as a Training Tool to Treat Physical Inactivity in Children

Rossman, J. (August 2012). Virtual reality Providing Ground Truth for Machine Learning and Programming by Demonstration

Solotko, S. (2017). Virtual Reality is the Next Training Ground for Artificial Intelligence. https://www.forbes.com/sites/tiriasresearch/2017/10/11/virtual-reality-is-the-next-training-ground-for-artificial-intelligence/#52d20cd457a5

Dooley, Brian. (April 2017). Why AI with Augmented and Virtual Reality Will Be the Next Big Thing. https://tdwi.org/articles/2017/04/04/ai-with-augmented-and-virtual-reality-next-big-thing.aspx

Beall, G. (2017). How virtual reality and artificial intelligence are changing life experiences. https://thenextweb.com/contributors/2017/08/08/virtual-reality-artificial-intelligence-changing-life-experiences/

 

Pre-Jury II

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Floor plan/ Partial plan of the second floor/ Top view

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Sections

The time past till the second jury was just a struggle for me to understand the idea of exploding layer. This jury did went well and I had very good critics for development of my design. So briefly if I explain my program, I welcome my visiters with a labrotary which has direct visual interaction. So, even people do not have an access to the laboratory, they would have an opportunity to watch the process while they pass through the street İnönü. The labrotory will also have a depo to store the objects which will be examined. The  next to space the visiters see would be the libaries. One of them will be for the public use and the other will only access from the labrotary by the researchers. The open library will also have an out-door studying spaces. Last of all the warehouse would be reused as a cafe/restraunt, exihibition hall and sales room. In sale-room, objects will be sold, objects which will represent the factory district.

 

But I still need to work on how I integrate the green to my site and clear how I exploded my layer. 

Why exploding surfaces of the TMO building?

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From the beginning of the term, I had an idea of exploding the TMO Building. So the reason behind this kind of technic was to increase the interaction between human nature and the warehouse. Since the warehouse has a very strict structure and it doesn’t have a big opening to its surrounding, it would be beneficial to explode some surfaces. This way, even I cannot play with the structure, it would be more welcoming and open to public.

The “If” statement is a very cleaver one to question the response I will have in my design, so I think when restoring an old building, TMO is an example to a registered structures, we should be very careful.

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