Showing posts with label Critique 2. Show all posts
Showing posts with label Critique 2. Show all posts

Wednesday, September 12, 2012

Research-Interview (updated)


Methodology (Interview)



This interview contains of information related
 to the noise pollution in Bukit Bintang



Wednesday, August 29, 2012

Contextual Studies(updated)


Project Context

Based on my project. There are two contexts that match my project. Below are the two contextual:


Geographical context


Noise is affected based on the place or location of an urban city. Noise comes from any situation, location or environment.Geographically pervasive effects of urban noise on frequency. Basically people are not addressing what kind of noise that they are facing nowadays in this urban city. 

Social context

Noise exposure provides people with annoyance and considered as unwanted sound. Noise is what we hear surrounding. It may be also influenced by environment, the media and the way people will react towards the noise.    


Sunday, August 5, 2012

Critique 2: Research:Noise (updated)


Color of Noise


They're separated from each other by their spectral density  -- the way the power that the signal contains is distributed over different frequencies. Different spreads are given different colour names, including white, pink, brown, blue, violet and grey. Here's how they differ from each other, and what they tend to be used for.
White noise
You might think of white noise as the sound of waves on a beach, or talk radio playing quietly -- something that overrides background noise. Sound technicians define it more tightly -- white noise has equal energy per cycle, meaning that its frequency spectrum is completely flat completely flat . The band of signal between 20 and 40Hz contains the same power at the band between 2000 and 2020Hz. It's referred to as white because it's analagous to white light -- where every band of the spectrum shines equally brightly, combining to produce white.
White noise's ability to cut through background noise means that it's easy to locate the source, and as a result it's sometimes used as part of a siren on an emergency vehicle. It's also used in audio synthesis to create percussive instruments like cymbals, which produce a lot of noise.
As it contains an equal amount of high frequencies to low frequencies, white noise is also found in sound-masking tools, such as those produced for tinnitus sufferers, and to aid a good night's sleep. Finally, white noise is used as a basis for some random number generators. Random.org  uses atmospheric antennae to generate random digit patterns using white noise.
Pink noise
While white noise has equal power in frequency bands of equal width, pink noise's spectrum falls off logarithimically, with equal power in bands that are proportionally wide. As a result, the band of signal between 20 and 40Hz has the same power in it as the band between 2000 and 4000Hz.
That's useful because it's the same as humans hear -- each octave in the western musical scale contains the same amount of energy as the octave above and below it, despite encompassing a wider frequency range. Pink noise replicates that phenomenon, making it very useful as a signal to test amplifiers and loudspeakers. Pink noise is also seen in meteorological data series, the radiation output of some astronomical bodies and in the statistics of DNA sequences.
Brown(ian) noise / Red noise
Red and brown noise are the same thing, and are more accurately known as brownian noise. It's nothing to do with the fabled brown note, but instead is the type of signal noise produced by Brownian motion. As it's heavily weighted towards the lower end of the spectrum, it sounds like a low roar. It's used in climatology to describe climate regime shifts, but there's a certain amount of disagreement(PDF) within the scientific community as to its value for such a purpose.
Blue and Violet noise
On the other end of the spectrum to red and brown noise lie blue and violet noise. Blue noise is a little like pink noise in that it changes proportionally with increasing frequency, but instead of a decrease you see an increase . Retinal cells are arranged in a blue-noise pattern, which a number of studies have shown yields good visual resolution.
Violet noise is, similarly, like an inverted version of brownian noise. Its power density increases per octave with increasing frequency over a finite frequency range. It can also be used in the treatment of tinnitus , as its high frequencies tend to mask the high frequencies heard by many tinnitus sufferers.
Grey noise
So we've seen noises weighted to higher and lower frequencies. What about both at the same time ? That's grey noise -- which has lots of power at the top and bottom end of the frequency spectrum but very little centered around the range of normal human hearing. More specifically, it's designed such that given a regular human ear experiences every frequency equally loud. It's white noise, but tuned specifically to the psychoacoustics  of the average human ear.
As a result, it's useful in studies of hearing difficulties, allowing researchers to assess how a particular person's hearing differs from the average.
Others
They're all the colours of noise that have a widely accepted meaning, but there are a selection of others that are less tightly-defined. Orange noise is a spectrum that has a few bands eliminated entirely  -- those centered around the frequencies of exact musical notes, meaning that it plays everything that isn't perfectly in tune, and nothing that is. These "sour" notes give the noise its name. It can be used to check tuning.
Then there's black noise, which has a number of different explanations. Some define it as pure silence, others describe it as the output of an active noise control system that cancels out existing noise -- essentially negative noise. One maker of an ultrasonic vermin repeller calls its output -- which is actually white noise that's silent below 20,000Hz -- black noise.
Finally, green noise is described as either the midpoint of the white noise spectrum, or the background noise of the world -- as a power spectrum that's averaged over a very long time in several outdoor sites around the planet. It looks rather like pink noise, but with a hump added around 500Hz.
Sources: http://www.wired.co.uk/news/archive/2011-04/7/colours-of-noise?page=all 
                                                                                                                                

Noise chart below lists average decibel levels for everyday sounds

Painful

150 dB = fireworks at 3 feet

140 dB = firearms, jet engine

130 dB = jackhammer

120 dB = jet plane takeoff, siren

Extremely Loud

110 dB = maximum output of some MP3 players, model airplane, chain saw

106 dB = gas lawn mower, snowblower

100 dB = hand drill, pneumatic drill

90 dB = subway, passing motorcycle

Very Loud

80–90 dB = blow-dryer, kitchen blender, food processor

70 dB = busy traffic, vacuum cleaner, alarm clock

Moderate

60 dB = typical conversation, dishwasher, clothes dryer

50 dB = moderate rainfall

40 dB = quiet room

Faint
30 dB = whisper, quiet library


Sources:http://www.asha.org/public/hearing/noise/


Types of " color of Noise" (updated)


Colour Range Sounds like 



Violet         15-30KHz                     Gas escaping, angry snake

Blue            7-15KHz                       Light breeze, aerosol, hihats

Green         3kHz-7KHz                   Bacon frying, acid on concrete

Yellow         1kHz-3KHz                   Rain, distant waterfall

Orange        500Hz-1KHz               River, city ambience

Red             250Hz-500Hz              Airplane cabin, train/car interior

Brown         50Hz-250Hz                Thunder, distant plane/rocket

Black           0-50Hz                        Explosion rumble, near infrasonic, subbass




                                            What is Synesthesia? (updated)

Synesthesia is a perceptual condition of mixed sensations: a stimulus in one sensory modality (e.g., hearing) involuntarily elicits a sensation /experience in another modality (e.g. vision). Likewise, perception of a form (e.g., a letter) may induce an unusual perception in the same modality (e.g. a color)

The word synesthesia comes from two Greek words, syn (together) and aisthesis (perception). Therefore, synesthesia literally means "joined perception."

Sound → color synesthesia

Sound often changes the perceived hue, brightness, scintillation, and directional movement. Some individuals see music on a "screen" in front of their faces. Deni Simon, for whom music produces waving lines "like oscilloscope configurations – lines moving in color, often metallic with height, width and, most importantly, depth. 

Examples





In sound–>colour synesthesia, individuals experience colours as a response to music/sounds. Sound–>colour synesthesia can be further broken down into two categories, “Narrow band” and “Broad band” sound->colour synesthesia.

Narrow band AKA music–>colour synesthesia – When music elicit different shades, hues brightness of colours relative to the tones, notes or even instrument played. Some examples would be, a note of a higher pitch would evoke brighter colours, and music played from a harp could make an individual see gold



Wednesday, July 18, 2012

Critique 2 - Research & analysis

Methodology

I used the primary research method which are online survey and interview.The goal of this primary research is to

  • to get people's opinion about noise pollution 
  • and also how they react and
  • their responds towards the issue.

Summary of the survey on noise pollution

Gender

Occupation




1)What are the major sources of noise pollution?



Outcome of Question 1:This pie chart clearly shows that the road traffic is the major source of noise pollution

2)Do you think noise affect you?


Outcome of Question 2:This chart shows that many people was affected by noise pollution

3)What is your level of concern towards noise?



Outcome of Question 3:This chart  shows that majority people are really concern on noise pollution


4)Which period the noise affects you more?



Outcome of Question 4:This pie chart shows that people are affected by noise during day time

5)In what where noise affect you? 


Outcome of Question 5:The above chart shows majority people agreed that noise causes irritation

6)What are the precautions you can take avoid noise pollution?




Outcome of Question 6:The above chart shows people avoid noise by using the earplug

7)Who are the most affected by noise pollution?



Outcome of Question 7:The chart shows that all range people are affected by noise pollution

8)Which place you think highly affected by noise pollution?



Outcome of Question 8:The pie chart shows the high level of noise affected at Urban areas

9)What do you think about noise?


Outcome of Question 9: The above pie chart shows that noise is a nuisance


10)Do you think its important to live in peace and quite? 

Outcome of Question 10:The chart above shows majority said yes its important to live in peace and quite

Conclusion

According to this survey,the researcher had identity that mostly all range of people was affected by noise pollution.Majority of the people gives high concern on the noise pollution which causes irritation to them.Apart from that,the researcher has determined that urban cities are the places that affected by the noise pollution.The majorities of respondent stated that road traffic is the main source of noise pollution. Most of the respondent agreed that peaceful environment is important for them.From these survey the researcher can conclude that people are really affected by the noise pollution and it is one of the major problem that cannot be solved as it involved in their daily life.

Primary research findings:


How people will react if there is a combination of noise in a empty space?

Is it will end up with interesting mood?

or

Is it they will be mentally affected?

Problem solving:

Overall it will test on how people will react with noise and to address people on the noise.