„System-modeling” változatai közötti eltérés

A Miau Wiki wikiből
(→‎Robot-eye for kicker-talent-identification (REFKI))
(→‎RISK INDEX FOR HOME-OFFICE-WORKERS)
 
(82 közbenső módosítás, amit 2 másik szerkesztő végzett, nincs mutatva)
1. sor: 1. sor:
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=General challenge for the 2024-spring-semester=
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Optimized OAM-generator - context free
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- https://miau.my-x.hu/bprof/2024/tavasz/general_challenge (description)
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- https://miau.my-x.hu/miau/309/Excel_Sudoku_Solver_korretura.docx (typical anomalies in project documentations)
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- https://miau.my-x.hu/mediawiki/index.php/System-modeling#SUPPORTING_FARMERS (How to derive the necessity of the OAM-based approaches?)
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- https://miau.my-x.hu/mediawiki/index.php/System-modeling#RISK_INDEX_FOR_HOME-OFFICE-WORKERS (How to ensure working close to the reality?)
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- https://miau.my-x.hu/miau2009/index.php3?x=e0&string=golden + https://miau.my-x.hu/miau2009/index.php3?x=e0&string=Kaleidoscope (How to work, if data are already given?)
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- https://miau.my-x.hu/miau/quilt/2020/quilt2/launching2020IV29/part5.html (What is a rapid project?)
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=Recommended learning materials for autodidactic learning=
 
=Recommended learning materials for autodidactic learning=
 
==International literature==
 
==International literature==
81. sor: 91. sor:
  
 
==Personalized tasks/wiki-articles with system modeling challenges==
 
==Personalized tasks/wiki-articles with system modeling challenges==
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All these potential (realized) theses can/should be involved into the final exam!
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===RISK INDEX FOR HOME-OFFICE-WORKERS===
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*Challenge/problem/question: How can we build an objective index for risk-estimation in case of home-workers?
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/oam_v1.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v2.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v3.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v4.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v5.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v6.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v7.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v8.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v9_v10.xlsx
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**https://miau.my-x.hu/bprof/2024/tavasz/oam_v11_v12.xlsx
 +
**https://miau.my-x.hu/bprof/2024/tavasz/oam_v13_v14.xlsx
 +
 +
 +
**...
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**chatGPT-based approach incl. expert-based items: https://miau.my-x.hu/bprof/2024/tavasz/risk_index_for_home_workers_chatGPT_based_OAM_definition.docx
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 +
===SUPPORTING FARMERS===
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*Challenge/problem/question: How can we plan a platform for farmers where the best price/performance ratio can be explored/realized?
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v1-v2.docx
 +
**...
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===PLANT CLASSIFICATION===
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*Challenge/problem/question: PLANT CLASSIFICATION BASED ON PICTURES
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v3-v4.docx
 +
**...
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 +
===DATA ANALYSES FOR DECISION MAKERS CONCERNING BASKETBALL===
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*Challenge/problem/question: CLONING A PREVIOUS PROJECT WITH APPROPRIATE DATA ABOUT BASKETBALL...
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v1-v2_.docx
 +
**...
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===2DM-ANALYSES FOR A HUMAN-COMPUTER-INTERACTION INDEX (HCI)===
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*Challenge/problem/question: Building a simulator being capable of estimating HCI-values for different type of persons based on a lot log-data coming from experimental 2dm-games...
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v1-2-3-4.docx
 +
**...
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===ESTIMATING WEBSITE SECURITY INDEX (WSI)===
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*Challenge/problem/question: Based on data about the structures and errors (see attributes) of websites (objects), it is possible to derive, which websites are weak and strong and norm-like or even unpredictable ones...
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v_I_II.docx
 +
**...
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===AUTOMATED SOFTWARE TESTING===
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*Challenge/problem/question: How to automate (rule-based and/or pattern-based) software testing processes?
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*Annexes:
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**https://miau.my-x.hu/bprof/2024/tavasz/v1__2.docx
 +
**...
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===EMOTION DETECTION===
 +
*Challenge/problem/question: How to interpret measured data? How to compare existing solutions?
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*Annexes:
 +
**https://miau.my-x.hu/bprof/2024/tavasz/v1__2.docx
 +
**...
  
 
===Online dietetic expert (ODE)===
 
===Online dietetic expert (ODE)===
126. sor: 194. sor:
 
*Analogy: https://miau.my-x.hu/bprof/2023/analogy.xlsx
 
*Analogy: https://miau.my-x.hu/bprof/2023/analogy.xlsx
 
*Average and/or sum vs. weighted solution: https://miau.my-x.hu/bprof/2023/analogy_v2_v3.xlsx (but: why are all weights = 1?)
 
*Average and/or sum vs. weighted solution: https://miau.my-x.hu/bprof/2023/analogy_v2_v3.xlsx (but: why are all weights = 1?)
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*Can we have the same evaluation value in case of each object? - https://miau.my-x.hu/bprof/2023/same_evaluation_values.xlsx
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**Why the average ranks do not produce the sameness?
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**Why the optimized evaluation can produce the sameness?
 
*Potential adaptation-challenges:  
 
*Potential adaptation-challenges:  
 
**Who is the most risky employee/partner?
 
**Who is the most risky employee/partner?
 
**Which volume of damage (IT-risk) can be expected from an employee/partner based on their behavior statistics?
 
**Which volume of damage (IT-risk) can be expected from an employee/partner based on their behavior statistics?
−
*...
+
*Conclusions:
 +
**it is important to be capable of cooperating with chatGPT: c.f. https://miau.my-x.hu/miau/297/Chat-GeePeeTee_vs_Pratchett-G-Pete_nr1.docx
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**it is important to be capable of handling with optimization challenges (incl. weighting, scoring, anti-discrimination)
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**...
  
 
===Necessity of a middle-ware for banks (NMB)===
 
===Necessity of a middle-ware for banks (NMB)===
137. sor: 211. sor:
 
**EN: https://miau.my-x.hu/bprof/2023/FINANCE%20PROCESS%20AUTOMATION%20abstract_pl_en.docx
 
**EN: https://miau.my-x.hu/bprof/2023/FINANCE%20PROCESS%20AUTOMATION%20abstract_pl_en.docx
 
**EN2: https://miau.my-x.hu/bprof/2023/FINANCE%20PROCESS%20AUTOMATION%20abstract_pl2.docx
 
**EN2: https://miau.my-x.hu/bprof/2023/FINANCE%20PROCESS%20AUTOMATION%20abstract_pl2.docx
 +
**EN3: https://miau.my-x.hu/bprof/2023/FINANCE%20PROCESS%20AUTOMATION%20abstract_pl2%20(1).docx
 
*Negotiation phase Nr.3. - demo-XLS: https://miau.my-x.hu/miau/296/risk_index_naive_regression_coco.xlsx
 
*Negotiation phase Nr.3. - demo-XLS: https://miau.my-x.hu/miau/296/risk_index_naive_regression_coco.xlsx
  
152. sor: 227. sor:
 
  ADAPTATION CHALLENGE: https://miau.my-x.hu/bprof/2023/adaptation_challenge.docx
 
  ADAPTATION CHALLENGE: https://miau.my-x.hu/bprof/2023/adaptation_challenge.docx
 
  Adapted solution v1: https://miau.my-x.hu/bprof/2023/company_ideality_index.xlsx
 
  Adapted solution v1: https://miau.my-x.hu/bprof/2023/company_ideality_index.xlsx
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Expertise (with formula=model): https://miau.my-x.hu/bprof/2023/company_ideality_index_formula.xlsx
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Expertise (with formula=model): https://miau.my-x.hu/bprof/2023/company_ideality_index_formula (2).xlsx
 +
Conclusions:
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*it is important to be capable of identifying OAMs (objects and attributes with real data - e.g., log-data) - (c.f. adaptation-challenge)
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**based on human intuitions (c.f. willingness, creativity, motivation, etc.)
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**and/or based on chatGPT (supporting OAM-definitions - c.f. https://miau.my-x.hu/miau/297/Chat-GeePeeTee_vs_Pratchett-G-Pete_nr1.docx)
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*it is important to be capable of deriving data processing alternatives (depends on real goals)
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*it is important to be capable of automation of data collection and data processing (where algorithms are just planned in a proper way if chatGPT can also write codes)
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*...
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===Antivirus project===
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*https://miau.my-x.hu/bprof/2023/antivirus_v1.docx
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*https://miau.my-x.hu/bprof/2023/Key%20Features%20of%20mobile%20Anti-Virus%20and%20their%20specifications.docx
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*https://miau.my-x.hu/bprof/2023/antivirus_oam1.xlsx
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**We need a relevant question and an appropriate OAM for this question
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**e.g., Why can be used an object for free?
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**it means: we need the differences instead of the samenesses
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*The price/performance analyses let derive the conclusion: there are relevant attributes not given!
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===Health care project===
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*https://miau.my-x.hu/bprof/2023/healthcare.docx
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*https://miau.my-x.hu/miau/299/health_consciousness.xlsx
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**The health-informatics has to handle with health statistics.
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**One of the most trivial challenges is the optimized aggregation of unique impacts.
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**The above-mentioned XLS-file presents examples, how to process statistics about health acitivities.
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*New data:
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**https://miau.my-x.hu/bprof/2023/hlth_rs_tech_spreadsheet.xlsx
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**https://miau.my-x.hu/bprof/2023/yth_educ_020__custom_5673119_spreadsheet.xlsx
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**https://miau.my-x.hu/bprof/2023/tsc00025__custom_5673081_page_spreadsheet.xlsx
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*More interpretations:
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**https://miau.my-x.hu/bprof/2023/healthcare%20(1).docx
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**https://miau.my-x.hu/bprof/2023/healthcare%20(2).docx
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*Statistic-like OAM vs real OAM for modelling:
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**https://miau.my-x.hu/bprof/2023/hrst_st_nsecsex2__custom_5685709_spreadsheet.xlsx
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*Pivot-solution for differences:
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**demo: https://miau.my-x.hu/bprof/2023/random_like_balances.xlsx
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**Pivot table for derivation of differences: https://miau.my-x.hu/bprof/2023/hrst_st_nsecsex2__custom_5732275_spreadsheet_v2.xlsx
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*New approach for futher adaptations:
 +
**https://miau.my-x.hu/miau/299/rd_eu.xlsx
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*Further activities:
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**https://miau.my-x.hu/bprof/2023/health_index.xlsx
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**https://miau.my-x.hu/bprof/2023/publication_basics.docx
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**Demo: https://miau.my-x.hu/miau2009/index_en.php3?x=e080
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**Notices:
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***Each model-development should be documented with all details being needed for reproduction of each step.
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***There are needed:
 +
****file-name, sheet-name, range-information
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****argumentations for formulas
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===Log-analysis===
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*https://miau.my-x.hu/bprof/2023/log_analysis.docx
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*https://miau.my-x.hu/miau/299/log_analysis_wifi.xlsm
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 +
===LINUX-bubble?!===
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*https://miau.my-x.hu/miau/299/linux.xlsx
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*Will=should we have new LINUX releases?
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===Detecting Vehicle Malfunctions using Acoustic Data and AI===
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*Demo:
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**https://miau.my-x.hu/miau/280/degradation_path_01.xlsx
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**https://miau.my-x.hu/miau2009/index.php3?x=e0&string=bearing.wear
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*Abstract:
 +
**2023.III.20.: https://miau.my-x.hu/bprof/2023/Detecting%20Vehicle%20Malfunctions%20using%20Acoustic%20Data%20and%20AI.docx
 +
**2023.III.21.: ...
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*Tasks:
 +
**Next step is an OAM based on the bearing-wear-documentation.
 +
**The first system model could be a new approach based on the available data.
 +
**A new approach is a new OAM + the question needing an answer based on the OAM.
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**A new OAM should have other objects and other attributes (incl other values) compared to the existing one (see doc and xls).
 +
**A new question can be concerned an estimation or forecast or evaluation or ...
 +
*Micro-projects (#1-2-3):
 +
**https://miau.my-x.hu/miau/299/bearing_abcdef.xlsx
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**The previous phase of the bearing-wear-project (https://miau.my-x.hu/miau2009/index.php3?x=e0&string=bearing.wear) derived already a lot of consistence layers.
 +
**A realistic/new goal could be: producing further consistence layers.
 +
**This can be achieved, if
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***the entire OAM will be segmented based on the life-cycle of the bearnings (ABCDEF)
 +
***each phase (ABCDEF) will be modelled incl. the average value for case#11
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***each estimation will be interpreted
 +
****based on the relationships between averages and estimations
 +
****based on the staircase functions (where a kind of massive homogentiy should be detected, because we observe quasi the same physical system)
 +
***These analytical steps could have been executed in a cooperative process, but it is also valuable if you want to be caapbe of reproducing of all these steps...
 +
***(Of course: there are further unlimited possibilities to create totally new analyses!)
  
 
===NCM-project & Symmetry-project===
 
===NCM-project & Symmetry-project===
165. sor: 322. sor:
 
*https://miau.my-x.hu/miau/296/refki_demo.xlsx
 
*https://miau.my-x.hu/miau/296/refki_demo.xlsx
 
*https://miau.my-x.hu/miau/297/starlight_v1.docx
 
*https://miau.my-x.hu/miau/297/starlight_v1.docx
−
https://miau.my-x.hu/miau/297/starlight_v1.xlsx (asap)
+
*https://miau.my-x.hu/miau/297/starlight_v1.xlsx (asap)
 
*...
 
*...
  
171. sor: 328. sor:
 
*IT-view: https://miau.my-x.hu/miau/295/robot_citizen.docx
 
*IT-view: https://miau.my-x.hu/miau/295/robot_citizen.docx
 
*"BIO"-view: https://miau.my-x.hu/miau/295/human_ethology_ecology_robotized.docx
 
*"BIO"-view: https://miau.my-x.hu/miau/295/human_ethology_ecology_robotized.docx
 +
*OAM-based thinking with chatGPT: https://miau.my-x.hu/miau/297/Chat-GeePeeTee_vs_Pratchett-G-Pete_nr1.docx
  
 
===...===
 
===...===
208. sor: 366. sor:
 
**https://en.wikipedia.org/wiki/Model
 
**https://en.wikipedia.org/wiki/Model
 
**https://en.wikipedia.org/wiki/System
 
**https://en.wikipedia.org/wiki/System
 +
**https://en.wikipedia.org/wiki/Principia_Ethica
 
**..
 
**..
 
*Relevant IT-keywords:
 
*Relevant IT-keywords:
226. sor: 385. sor:
  
 
  '''Evaluation of projects: https://miau.my-x.hu/bprof/2023/lectureless_education_evaluation_sheet.xlsx'''
 
  '''Evaluation of projects: https://miau.my-x.hu/bprof/2023/lectureless_education_evaluation_sheet.xlsx'''
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 +
=Advanced levels=
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*Critical aspects of the potential star method: https://miau.my-x.hu/miau/297/AREA-BASED-ANTI-DISCRIMINATION-MODELS.xlsx
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*Alternative knowledge representations in case of balanced inputs: https://miau.my-x.hu/miau/296/joker2_for_biological_systems.docx
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*Lembas-bread-mathematics/economics: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*lembas (c.f. https://miau.my-x.hu/myx-free/index.php3?x=e091)
 +
*Mathematics of the sustainability:
 +
**http://miau.my-x.hu/miau/101/mta_en.doc
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**https://miau.my-x.hu/miau2009/index.php3?x=e0&string=operationalism.of.s
 +
*Robot-deity: http://miau.my-x.hu/miau/197/robot_deity.doc
 +
*Mathematical backgrounds of the OAM-based thinking: https://miau.my-x.hu/miau/296/oam_max_selections.xlsx (c.f. complete sub-matrix)
 +
**https://communities.sas.com/t5/SAS-Communities-Library/Finding-a-complete-sub-matrix-aka-finding-maximal-bicliques/ta-p/285383
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 +
CONCLUSIONS: https://miau.my-x.hu/miau/297/modelling_challenges_on_the_field_of_IT_security_based_on_AI.docx
 +
 +
=Gamification phase=
 +
==1. game==
 +
*The first phase of the education can be seen as closed: System-modeling – Miau Wiki (my-x.hu) = https://miau.my-x.hu/mediawiki/index.php/System-modeling
 +
*The next phase is a kind of gamified phase where the Students can ask the lecturers like a chatbot (c.f. chatGPT).
 +
*The competence of asking is relevant because IT-experts have to be able to clarify e.g., the ways how their customers/partners think about the problems needig solutions.
 +
*The chatGPT is still not capable of delivering real solutions to real problems: c.f.
 +
**https://miau.my-x.hu/miau/298/ChatGPT-food-2.pdf + https://miau.my-x.hu/miau/298/ChatGPT-food.pdf
 +
**https://miau.my-x.hu/miau/297/Chat-GeePeeTee_vs_Pratchett-G-Pete_nr1.docx
 +
*Therefore human experts have to play the role of the chatbots here and now.
 +
*The first "game" will be presented in a way where we choose (quasi randomized) one of (y)our problems/solutions: e.g., System-modeling – Miau Wiki (my-x.hu) = https://miau.my-x.hu/mediawiki/index.php/System-modeling#Detecting_Vehicle_Malfunctions_using_Acoustic_Data_and_AI
 +
*The further steps can be followed from now on even here: https://miau.my-x.hu/mediawiki/index.php/System-modeling#Gamification_phase
 +
*Please, follow the game and please, be active (play with us via emails:-)!
 +
 +
Simulated conversation (where you have to be capable of playing both the role of the Student and the role of the "Chatbot":
 +
 +
*Student#1:
 +
**There are data available about dynamic acustic characteristics concerning bearings: e.g., https://miau.my-x.hu/miau/280/degradation_path_01.xlsx
 +
**There are models available how to analyse them: e.g., https://miau.my-x.hu/miau2009/index.php3?x=e0&string=bearing.wear
 +
**Please, deliver an alternative analysis based on the same data for the same question/problem!
 +
*"Chatbot"#1:
 +
**Sure, I will deliver you a parallel model.
 +
**Here you go: https://miau.my-x.hu/miau/299/bearing_abcdef.xlsx
 +
***The short descriptions can be read in the XLSX-file and here (see chapter "micro-project"): https://miau.my-x.hu/mediawiki/index.php/System-modeling#Detecting_Vehicle_Malfunctions_using_Acoustic_Data_and_AI
 +
 +
 +
*Student#2:
 +
*Please, help me to interpret your solution!
 +
*Why your solution can be seen as a parallel solution?
 +
*"Chatbot"#2:
 +
*You have defined a dataset and a solution (see your own question before).
 +
*I have calculated a new solution based on the same data (as you asked me) and for the same analytical goal (as you asked me).
 +
 +
 +
*Student#3:
 +
**What is the common goal of the modelling in my documents and in your solution?
 +
*"Chatbot"#3:
 +
*The common goal/question/problem is:
 +
*How to derive an OAM-oriented models (an estimation-sets)
 +
*for different phases of different bearnings (as objects)
 +
*based on different (in the basic documentations pre-definied) acoustic attributes
 +
*in order to calculate a time-value (c.f. forecasting value) needed for a bearing to achieve a given level of noises.
 +
 +
#1-2-3 can be seen as a kind of initializing step. From now on (#4-5-6-7-8-...), real Students can formulate own questions:
 +
 +
*Student#4:
 +
**What do you mean about OAM-oriented models?
 +
*"Chatbot"#4:
 +
**OAM = object-attribute-matrix is the structural core of the modelling here and now.
 +
**In our case:
 +
***objects are the different bearnings and their life-periodes/intervals/units
 +
***attributes are different characteristics of the measured noises (Xi) and the time needed to achieve a given noise-level
 +
**There are two types of attributes:
 +
**X-attributes: so-called independent variables
 +
**Y-attribute(s): the time needed to achieve a given noise-level, as the dependent variable
 +
**The Xi-attributes must have directions: based on
 +
***the-more-the-more and/or
 +
***the more-the-less principle (c.f. ceteris paribus expectations).
 +
**Theoretically, each problem may be transformed into (different) OAMs! (c.f. GPS = general problem solving)
 +
 +
 +
*Student#5:
 +
**What means the expression of ceteri paribus?
 +
*"Chatbot"#5:
 +
**Ceteris paribus does mean Ceteris paribus or caeteris paribus ( New Latin: [ˈse.tɛ.ris ˈpa.ri.bus]) is a Latin phrase meaning "other things equal"; English translations of the phrase include " all other things being equal " or " other things held constant " or " all else unchanged ". Ceteris paribus - Wikipedia (en.wikipedia.org/wiki/Ceteris_paribus)
 +
**In case of system modelling challenges, the expression of ceteris paribus highlights that between the attributes (Xi and/or Y) the relationships should always be checked, controlled, monitored, ruled, influenced in order to be capable of understanding complex knowledge representations forms (like neural networks, staircase functions, fuzzy systems, etc.).
 +
 +
 +
*Student#6:
 +
**What is a staircase function?
 +
*"Chatbot"#6:
 +
**A staircase function is a more complex knowledge representation than a regression model where an attribute has only one single parameter ("a") (c.f. y=a*x+b) - it means instead of "a" in a regression function, a staircase function is using a function where the X axis is the set of the ranks of the well-known input-values concerning the observed attribute and the Y-axis is the parameter value for each ranking level where these parameter-values may be substituted through the same value in case of more input levels.
 +
 +
 +
*Student#7:
 +
**Why exactly these objects (bearings*time) are predefined?
 +
*"Chatbot"#7:
 +
**The object-building is mostly an arbitrary process. The modell developer has to ensure defnining as many objects as possible.
 +
**There are data about just a few bearings.
 +
**Therefore, the bearing's life-cycle shouls/can/must be divided into time-intervals in order to have more objects concerning one single bearing.
 +
 +
 +
*Student#9:
 +
**What is the difference between the two models?
 +
*"Chatbot"#9:
 +
**The first model (https://miau.my-x.hu/miau2009/index.php3?x=e0&string=bearing.wear) defined one single OAM with 10*6 objects (10 bearings and 6 time-intervalls).
 +
**The second (alternative/parallel) model (https://miau.my-x.hu/miau/299/bearing_abcdef.xlsx) defined 6 OAM (based on the different time-intervals) with 10 learning (+ with the 11th = testing) objects.
 +
 +
 +
*Student#10:
 +
**What is the common in the two models?
 +
*"Chatbot"#10:
 +
**The similarity analysis (https://miau.my-x.hu/miau/196/My-X%20Team_A5%20fuzet_EN_jav.pdf) is the background/basic of the two models.
 +
**Similarity analysis is a kind of GPS (General Problem Solving approach).
 +
**Similarity analysis is an OAM-based logic with optimization characteristics.
 +
 +
 +
*Student#11:
 +
*"Chatbot"#11:
 +
 +
 +
*Student#12:
 +
*"Chatbot"#12:
 +
 +
 +
*Student#13:
 +
*"Chatbot"#13:
 +
 +
 +
*Student#14:
 +
*"Chatbot"#14:
 +
 +
 +
*Student#15:
 +
*"Chatbot"#15:
 +
 +
 +
*Student#16:
 +
*"Chatbot"#16:
 +
 +
==2. game==
 +
 +
Please, choose a new sub-chapter: https://miau.my-x.hu/mediawiki/index.php/System-modeling#Personalized_tasks.2Fwiki-articles_with_system_modeling_challenges
 +
And please, create a new conversation!

A lap jelenlegi, 2024. április 4., 23:05-kori változata

General challenge for the 2024-spring-semester

Optimized OAM-generator - context free 
- https://miau.my-x.hu/bprof/2024/tavasz/general_challenge (description)
- https://miau.my-x.hu/miau/309/Excel_Sudoku_Solver_korretura.docx (typical anomalies in project documentations)
- https://miau.my-x.hu/mediawiki/index.php/System-modeling#SUPPORTING_FARMERS (How to derive the necessity of the OAM-based approaches?)
- https://miau.my-x.hu/mediawiki/index.php/System-modeling#RISK_INDEX_FOR_HOME-OFFICE-WORKERS (How to ensure working close to the reality?)
- https://miau.my-x.hu/miau2009/index.php3?x=e0&string=golden + https://miau.my-x.hu/miau2009/index.php3?x=e0&string=Kaleidoscope (How to work, if data are already given?)
- https://miau.my-x.hu/miau/quilt/2020/quilt2/launching2020IV29/part5.html (What is a rapid project?)

Recommended learning materials for autodidactic learning

International literature

MIAU-objects

Avatar-based learning materials

FAQ concerning the course

  • Q8: Is it possible to work in team?
  • A8: YES! (But the thesis should always be a unique product of one single author.)
  • Q9: Is this course really lecture-less?
  • A9: Yes, we have to cooperate concerning real problems. The theoretical aspects will be integrated into the creation-processes.
  • Q10: What is the MOTTO of the BPROF-education?
  • A10: Learning by doing!
  • Q11: What is the most important keyword of the BPROF-education?
  • A11: Sovereignty = willingness for problem solving mostly alone and based on all sources but at first always through own interpretations
  • Q12: Is it possible to close a course sooner, than the official end of a semester?
  • A12: Yes!
  • Q13: ...
  • A13: ...

Personalized tasks/wiki-articles with system modeling challenges

All these potential (realized) theses can/should be involved into the final exam!

RISK INDEX FOR HOME-OFFICE-WORKERS


SUPPORTING FARMERS

PLANT CLASSIFICATION

DATA ANALYSES FOR DECISION MAKERS CONCERNING BASKETBALL

2DM-ANALYSES FOR A HUMAN-COMPUTER-INTERACTION INDEX (HCI)

ESTIMATING WEBSITE SECURITY INDEX (WSI)

  • Challenge/problem/question: Based on data about the structures and errors (see attributes) of websites (objects), it is possible to derive, which websites are weak and strong and norm-like or even unpredictable ones...
  • Annexes:

AUTOMATED SOFTWARE TESTING

EMOTION DETECTION

Online dietetic expert (ODE)

Background information: https://miau.my-x.hu/mediawiki/index.php/BPROF_Thesis1
  • How to model anti-discrimination? (Which cheese is better than the other one concerning dietetic benchmarks/expectations/recommendations?)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations (c.f. cheese of the year)
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert
  • How to model price/performance ratios? (Which product is worth consuming?)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations concerning economic aspects (c.f. cheese of the year) / Y = price
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert / Y = price
  • How to optimize/model animal/human feed/food ratios? (Which mixture best covers the expectations?)
    • Demo: XLSX based on random data (asap)
  • How to derive the top 'n' attribute with the highest impact e.g., for product price? (this challenge is part of the general problem about the price/performance-ratios)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations concerning economic aspects (c.f. cheese of the year) / Y = price
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert / Y = price
  • ...
    • Demo: ...

A bad (benchmarking) example and a better (good?) example for clarification of model-structures

  • description of an innovative chat-bot-development in a massive journalistic way: https://miau.my-x.hu/miau/295/gpt_demo.docx
    • Conclusions:
      • it seems to be trivial, which inputs (given tokens) lead to what kind of outputs (expected token(s))
      • it is here and now still not given: what is the process between inputs and outputs
  • description of a service having a payment policy and demo-views: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*chat-bot
    • KNUTH-principle: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*knuth
      • if somebody says, I do understand something, it is necessary to be capable producing a demo e.g. at least with random data or based on flow-charts, formulas, etc.
    • Conclusions:
      • it does not seem to be trivial, which inputs (e.g., sentences of employees?) lead to what kind of outputs (expected answers/reaction? - but about what kind of content? why?)
      • it is here and now also still not given: what is the process between inputs and outputs
    • KNUTH-principle: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*knuth
      • if somebody says, I do understand something, it is necessary to be capable producing a demo e.g. at least with random data or based on flow-charts, formulas, etc.

Expert system for fine-tuning IT-security systems (ES-FITS)

Necessity of a middle-ware for banks (NMB)

Automation of Incident Response Planning in IT Security (AIR-P-ITS)

ADAPTATION CHALLENGE: https://miau.my-x.hu/bprof/2023/adaptation_challenge.docx
Adapted solution v1: https://miau.my-x.hu/bprof/2023/company_ideality_index.xlsx
Expertise (with formula=model): https://miau.my-x.hu/bprof/2023/company_ideality_index_formula.xlsx
Expertise (with formula=model): https://miau.my-x.hu/bprof/2023/company_ideality_index_formula (2).xlsx

Conclusions:

  • it is important to be capable of identifying OAMs (objects and attributes with real data - e.g., log-data) - (c.f. adaptation-challenge)
  • it is important to be capable of deriving data processing alternatives (depends on real goals)
  • it is important to be capable of automation of data collection and data processing (where algorithms are just planned in a proper way if chatGPT can also write codes)
  • ...

Antivirus project

Health care project

Log-analysis

LINUX-bubble?!

Detecting Vehicle Malfunctions using Acoustic Data and AI

NCM-project & Symmetry-project

Hydrogen-project

Robot-eye for kicker-talent-identification (REFKI)

Robot-citizen

...

  • ...

Integration of Google Trends time-series in different ways for self-check-mechanisms

  • https://miau.my-x.hu/miau/297/google_trends_data_integration_variations.xlsx
    • there is no transformation needed if the dominant object (SK) is the anchor for each CSV
    • if the anchor is not the dominant object (c.f. HU), then the necessary transformation may to lead to the same results
  • self-check-layers:
    • the dominant object have to have always the same data independent from the parallel available objects in the queries
    • the non-dominant-object-based calculation have to lead to the same results as in case of the dominant object (without transformation needs)
      • (where the sameness as such must be interpreted as a kind of approximation with potential +/-1 unit difference because of integer values of the CSV-files)
  • https://miau.my-x.hu/miau/287/tutorial_google_trends_5plus.xlsx
    • programming concepts
Remarks: system models can be defined in different complexity levels (c.f. optimized estimation of risk-potentials based on raw data vs. checking/preparation of raw data)

...

  • ...

Other courses

Annexes

Structure of MIAU-WIKI:

Useful WIKI-articles in general:

Parallel articles in MIAU-WIKI:

Recommended literature: 

Evaluation of projects: https://miau.my-x.hu/bprof/2023/lectureless_education_evaluation_sheet.xlsx

Advanced levels

CONCLUSIONS: https://miau.my-x.hu/miau/297/modelling_challenges_on_the_field_of_IT_security_based_on_AI.docx

Gamification phase

1. game

Simulated conversation (where you have to be capable of playing both the role of the Student and the role of the "Chatbot":


  • Student#2:
  • Please, help me to interpret your solution!
  • Why your solution can be seen as a parallel solution?
  • "Chatbot"#2:
  • You have defined a dataset and a solution (see your own question before).
  • I have calculated a new solution based on the same data (as you asked me) and for the same analytical goal (as you asked me).


  • Student#3:
    • What is the common goal of the modelling in my documents and in your solution?
  • "Chatbot"#3:
  • The common goal/question/problem is:
  • How to derive an OAM-oriented models (an estimation-sets)
  • for different phases of different bearnings (as objects)
  • based on different (in the basic documentations pre-definied) acoustic attributes
  • in order to calculate a time-value (c.f. forecasting value) needed for a bearing to achieve a given level of noises.
#1-2-3 can be seen as a kind of initializing step. From now on (#4-5-6-7-8-...), real Students can formulate own questions:
  • Student#4:
    • What do you mean about OAM-oriented models?
  • "Chatbot"#4:
    • OAM = object-attribute-matrix is the structural core of the modelling here and now.
    • In our case:
      • objects are the different bearnings and their life-periodes/intervals/units
      • attributes are different characteristics of the measured noises (Xi) and the time needed to achieve a given noise-level
    • There are two types of attributes:
    • X-attributes: so-called independent variables
    • Y-attribute(s): the time needed to achieve a given noise-level, as the dependent variable
    • The Xi-attributes must have directions: based on
      • the-more-the-more and/or
      • the more-the-less principle (c.f. ceteris paribus expectations).
    • Theoretically, each problem may be transformed into (different) OAMs! (c.f. GPS = general problem solving)


  • Student#5:
    • What means the expression of ceteri paribus?
  • "Chatbot"#5:
    • Ceteris paribus does mean Ceteris paribus or caeteris paribus ( New Latin: [ˈse.tɛ.ris ˈpa.ri.bus]) is a Latin phrase meaning "other things equal"; English translations of the phrase include " all other things being equal " or " other things held constant " or " all else unchanged ". Ceteris paribus - Wikipedia (en.wikipedia.org/wiki/Ceteris_paribus)
    • In case of system modelling challenges, the expression of ceteris paribus highlights that between the attributes (Xi and/or Y) the relationships should always be checked, controlled, monitored, ruled, influenced in order to be capable of understanding complex knowledge representations forms (like neural networks, staircase functions, fuzzy systems, etc.).


  • Student#6:
    • What is a staircase function?
  • "Chatbot"#6:
    • A staircase function is a more complex knowledge representation than a regression model where an attribute has only one single parameter ("a") (c.f. y=a*x+b) - it means instead of "a" in a regression function, a staircase function is using a function where the X axis is the set of the ranks of the well-known input-values concerning the observed attribute and the Y-axis is the parameter value for each ranking level where these parameter-values may be substituted through the same value in case of more input levels.


  • Student#7:
    • Why exactly these objects (bearings*time) are predefined?
  • "Chatbot"#7:
    • The object-building is mostly an arbitrary process. The modell developer has to ensure defnining as many objects as possible.
    • There are data about just a few bearings.
    • Therefore, the bearing's life-cycle shouls/can/must be divided into time-intervals in order to have more objects concerning one single bearing.



  • Student#10:
    • What is the common in the two models?
  • "Chatbot"#10:


  • Student#11:
  • "Chatbot"#11:


  • Student#12:
  • "Chatbot"#12:


  • Student#13:
  • "Chatbot"#13:


  • Student#14:
  • "Chatbot"#14:


  • Student#15:
  • "Chatbot"#15:


  • Student#16:
  • "Chatbot"#16:

2. game

Please, choose a new sub-chapter: https://miau.my-x.hu/mediawiki/index.php/System-modeling#Personalized_tasks.2Fwiki-articles_with_system_modeling_challenges
And please, create a new conversation!
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