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| − | [[Image:JO_Smokestack.jpg|200px]] | + | [[Image:Network_Main.png|300px]] |
| − | <font size = 5; color="#FFFFFF">ISSS608 Assignment Hasanli Orkhan </font> | + | <b><font size = 6; color="#3a2e29"; style="font-family:Century Gothic">Detecting Suspicious Individuals</font></b> |
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| − | [[ISSS608_2017-18_T3_Assign_Hasanli_Orkhan| <font color="#FFFFFF">Background</font>]] | + | [[ISSS608_2017-18_T3_Assign_Hasanli Orkhan|<font color="#000000">Overview</font>]] |
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| − | [[ISSS608_2017-18_T3_Assign_Hasanli_Orkhan_Data_Preparation| <font color="#FFFFFF">Data Preparation</font>]] | + | [[ISSS608_2017-18_T3_Assign_Hasanli Orkhan_Methodology|<font color="#000000">Methodology</font>]] |
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| − | [[ISSS608_2017-18_T3_Assign_Hasanli_Orkhan_Data_Visualization| <font color="#FFFFFF">Visualization</font>]] | + | [[ISSS608_2017-18_T3_Assign_Hasanli Orkhan_Insights|<font color="#000000">Findings</font>]] |
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| − | [[ISSS608_2017-18_T3_Assign_Hasanli_Orkhan_Observations & Insights| <font color="#FFFFFF">Observations & Insights</font>]] | + | [[ISSS608_2017-18_T3_Assign_Hasanli Orkhan_Conclusion|<font color="#000000">Reference and Comments</font>]] |
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| − | [[ISSS608_2017-18_T3_Assign_Hasanli_Orkhan_Conclusion| <font color="#FFFFFF">Conclusion</font>]]
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| − | [[Talk:ISSS608_2017-18_T3_Assign_Hasanli_Orkhan_Comments| <font color="#FFFFFF">Comments</font>]]
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| − | <br/> | + | <br><br> |
| − | | + | =Feel free to give your feedback= |
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| − | <font size="5">'''Conclusion'''</font> | |
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| − | This section aims to present the key findings which were elaborated upon previously.
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| − | =Summary Findings for Question 1= | |
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| − | * Working sensors should be categorized by graphs with regular patterns.
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| − | * For instance on April, the detection of AGOC-3A by monitors 1 and 2 should be regular because both the trellis and cycle plot exhibit a relatively flat trend.
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| − | * Similarly for monitors 4-6, patterns are regular with reasonable fluctuations in readings throughout the month.
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| − | * However, there are instances where monitors appear to be malfunctioning as well. They are categorized by sharp spikes in readings which contradict the patterns displayed prior.
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| − | * For instance the trellis plot revealed that monitor 3 has a sharp spike on April and the cycle plot confirms it that readings were larger than usual on the 17th April. This is something unexpected.
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| − | * Monitor 8 also has a very high reading at 10:00 on the 15th April which is unlike its normal readings recorded during the month.
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| − | =Summary Findings for Question 2= | |
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| − | * AGOC-3A
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| − | Monitors 3-7 and 9 are able to detect this chemical fairly well. Monitor 3 was able to detect it at a higher concentration for April and August while monitor 4 picked up a higher concentration reading for December.
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| − | The chemical is typically released between 06:00 to 22:00 and the level of activity is higher between the 5th to 22nd each month.
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| − | * Appluimonia
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| − | This was mainly detected by monitors 3 and 4 even though 5-9 were able to detect it but to a small extent.
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| − | The chemical is released constantly through the 3 months but the frequency has increased dramatically during December with all the monitors registering an increase compared to the previous 2 months. Even though this chemical is not hazardous to humans or animals, it can affect their well being and standards of living due to the unpleasant smell.
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| − | * Chlorodinine
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| − | Similar to Appluimonia, this chemical is also being constantly released throughout the 3 months. The release typically spikes near the start and end approaching the end of the month.
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| − | The level of concentration detected by monitor 4 has increased dramatically from April to December which is a critical cause for concern because is it hazardous to human if inhaled or consumed.
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| − | * Methylosmolene
| + | =Acknowledgement= |
| − | This chemical is released normally between 22:00 and 06:00 which is the opposite of AGOC-3A. This suggests that both chemicals may actually be related.
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| − | Methylosmolene is a hazardous chemical which is strongly regulated whereas AGOC-3A is a less hazardous chemical that is promoted for its usage. This disparity could reflect the operation activity of two different factories.
| + | Supported by: |
| | + | *'''Prof. Kam Tin Seong''' |
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| − | =Summary Findings for Question 3=
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| − | * Roadrunner, Kasio and Radiance are likely to be associated with the release of AGOC-3A | + | =Reference= |
| − | * Also, based on the findings, Kasio is likely to be releasing Cholorodinine and Methylosmolene as well which happens to be the two most hazardous chemicals. | + | *Gephi coobook. Available at: https://www.safaribooksonline.com/library/view/gephi-cookbook/9781783987405/ |
| − | * Lastly, Indigo is likely to be associated with the release of Appluimonia and to a lesser extent Methylosmolene.
| + | *GEPHI – Introduction to Network Analysis and Visualization Available at: http://www.martingrandjean.ch/gephi-introduction/ |
| − | * Using the chemical emission level as a proxy for factory operations, Roadrunner and Kasio seem to be operating more actively during 06:00 to 18:00. Kasios on the other hand, also appears to be more active during the wee hours typically between 0:00 to 06:00. | + | *Network Analysis Methods for Assessment & Measurement. Available at: https://www.slideshare.net/panklam/network-analysis-methods-for-assessment-measurement |
Detecting Suspicious Individuals
