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Analyzed 30 minutes ago. based on code collected about 19 hours ago.
Oct 17, 2025 — Oct 17, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
Section 1665 updated
Srinivasan Kannan
More... 3 months ago
1673. (THEORY and FEATURE) Generic utility for extrapolating a sequence of arbitrary type by Bayesian prior probabilities - music synthesis usecase, corrections and enhancements - related to section 2,1435,1538,1557,1669 and NEUTON WFA-RNN Music synthesizer, Stock market analytics, Numeric sequence prediction, Text restoration, k-order Markov model, Nachiketas-FormalLLM-Text sentence synthesis - 29 June 2026
Srinivasan Kannan
More... 4 months ago
1673. (THEORY and FEATURE) Generic utility for extrapolating a sequence of arbitrary type by Bayesian prior probabilities - music synthesis usecase, corrections and enhancements - related to section 2,1435,1538,1557,1669 and NEUTON WFA-RNN Music synthesizer, Stock market analytics, Numeric sequence prediction, Text restoration, k-order Markov model, Nachiketas-FormalLLM-Text sentence synthesis - 29 June 2026
Srinivasan Kannan
More... 4 months ago
Section 1670 updated
Srinivasan Kannan
More... 4 months ago
Section 1431 updated
Srinivasan Kannan
More... 4 months ago
Comparison of Elvidge, WorldPop-GHSL-VIIRS Ensemble, ORNL DeepLearning NTL models by ChatGPT
Srinivasan Kannan
More... 4 months ago
Section 1431 updated
Srinivasan Kannan
More... 4 months ago
-------------------------------------------------------------------------------------------------- 1670. (THEORY and FEATURE) Software Analytics - Kernel Analytics and Scheduler Analytics - /proc/sched_debug added to workqueue script implementation - related to 561,1191,619,770,906,911,771,1192,1443,1459,1475,1668 and all sections on Program Analysis, AsFer-USBmd-VIRGO-KingCobra FTrace kernel callgraph analysis - Valgrind-Callgrind-KCacheGrind-Flamegraph userspace callgraph analysis, SATURN control flow analysis of VIRGO linux kernel, Software Analytics, Pandemic model of Botnet-Defense adversarial Game theoretic security, Cybercrime analytics, Anti-Malware,Anti-Ransomware,Anti-Theft and Anti-Plagiarism tools, KML, LAKE,Intrusion Prevention-Detection Systems(IDS and IPS),Anomaly Detection - 15 June 2026 -------------------------------------------------------------------------------------------------- 1670.1 python-src/software_analytics/workqueue.sh has been changed to update the /sys/kernel/debug tracing directory structure and include a sched_debug commandline based on ChatGPT prompt to print the Completely Fair Scheduler (CFS) runnable_tasks from cfs_rq.tasks_timeline (kernel private datastructure): #mount -t debugfs nodev /sys/kernel/debug echo workqueue:workqueue_queue_work > /sys/kernel/debug/tracing/set_event cat /sys/kernel/debug/tracing/trace_pipe > workqueue.log sudo awk ' /cpu#/ {cpu=$1} /runnable tasks:/ {show=1; next} /^$/ {show=0} show {print cpu, $0} ' /proc/sched_debug > schedrunqueue.log 1670.2 This is in continuation of eBPF updates earlier necessary to gather processes runqueue statistics for Survival Index OS scheduler (in 1668.4) 1670.3 Workqueue and Scheduler logs are at workqueue.log and schedrunqueue.log respectively. ChatGPT prompt for various scheduler runqueue dump alternatives (including eBPF) is cached in ChatGPT_SchedulerRunqueueLinux.pdf
Srinivasan Kannan
More... 4 months ago
-------------------------------------------------------------------------------------------------- 1670. (THEORY and FEATURE) Software Analytics - Kernel Analytics and Scheduler Analytics - /proc/sched_debug added to workqueue script implementation - related to 561,1191,619,770,906,911,771,1192,1443,1459,1475,1668 and all sections on Program Analysis, AsFer-USBmd-VIRGO-KingCobra FTrace kernel callgraph analysis - Valgrind-Callgrind-KCacheGrind-Flamegraph userspace callgraph analysis, SATURN control flow analysis of VIRGO linux kernel, Software Analytics, Pandemic model of Botnet-Defense adversarial Game theoretic security, Cybercrime analytics, Anti-Malware,Anti-Ransomware,Anti-Theft and Anti-Plagiarism tools, KML, LAKE,Intrusion Prevention-Detection Systems(IDS and IPS),Anomaly Detection - 15 June 2026 -------------------------------------------------------------------------------------------------- 1670.1 python-src/software_analytics/workqueue.sh has been changed to update the /sys/kernel/debug tracing directory structure and include a sched_debug commandline based on ChatGPT prompt to print the Completely Fair Scheduler (CFS) runnable_tasks from cfs_rq.tasks_timeline (kernel private datastructure): #mount -t debugfs nodev /sys/kernel/debug echo workqueue:workqueue_queue_work > /sys/kernel/debug/tracing/set_event cat /sys/kernel/debug/tracing/trace_pipe > workqueue.log sudo awk ' /cpu#/ {cpu=$1} /runnable tasks:/ {show=1; next} /^$/ {show=0} show {print cpu, $0} ' /proc/sched_debug > schedrunqueue.log 1670.2 This is in continuation of eBPF updates earlier necessary to gather processes runqueue statistics for Survival Index OS scheduler (in 1668.4) 1670.3 Workqueue and Scheduler logs are at workqueue.log and schedrunqueue.log respectively. ChatGPT prompt for various scheduler runqueue dump alternatives (including eBPF) is cached in ChatGPT_SchedulerRunqueueLinux.pdf
Srinivasan Kannan
More... 4 months ago
Section 1431 updated
Srinivasan Kannan
More... 4 months ago
Section 1431 updated
Srinivasan Kannan
More... 4 months ago
ChatGPT AI enhanced NASA ISS Chennai NTL image from https://www.nasa.gov/image-article/chennai-city-lights/
Srinivasan Kannan
More... 4 months ago
Section 1431 updated
Srinivasan Kannan
More... 4 months ago
ChatGPT analysis of recent nighttime lights image - NASA - ISS - Chennai on 27/05/2026 - https://www.nasa.gov/image-article/chennai-city-lights/
Srinivasan Kannan
More... 4 months ago
Section 1638 updated
Srinivasan Kannan
More... 4 months ago
1669. (THEORY and FEATURE) Generic utility for extrapolating a sequence of arbitrary type by Bayesian prior probabilities - related to section 2,1435,1538,1557 and NEUTON WFA-RNN Music synthesizer, Stock market analytics, Numeric sequence prediction, Text restoration, k-order Markov model, Nachiketas-FormalLLM-Text sentence synthesis - 9 June 2026
Srinivasan Kannan
More... 4 months ago
------------------------------------------------------------------------------------------------ 1669. (THEORY and FEATURE) Generic utility for extrapolating a sequence of arbitrary type by Bayesian prior probabilities - related to section 2,1435,1538,1557 and NEUTON WFA-RNN Music synthesizer, Stock market analytics, Numeric sequence prediction, Text restoration, k-order Markov model, Nachiketas-FormalLLM-Text sentence synthesis - 9 June 2026 ------------------------------------------------------------------------------------------------ 1669.1 New source file python-src/BayesianExtrapolateSequence.py has been added to NeuronRain AstroInfer repositories that given a sequence of arbitrary type (string or numeric),computes the prior probability distribution of succeeding elements of any element in the sequence and uses it to predict the next element in the sequence. 1669.2 Earlier script indirectly implements and generalizes the basics of TensorFlow Magenta Recurrent Neural Network in 1435.12 to sequence of any datatype (Magenta release notes quoted hereby - "... This RNN is the first in a series of models we will be releasing which predict the next note given a sequence of previous notes. They do this by learning a probability distribution over the next notes given all the previous notes. ...") 1669.3 It depends on two datastructures mainly - succeedingelementdict (that populates a dictionary of symbol to succeeding symbols in the training sequence) and elementprobabilites (which is a dictionary of dictionaries that populates the probability of symbol b following a in the training sequence by NLTK FreqDist) 1669.4 Function compute_prior_probabilities_and_extend(trainingsequence,alphabetsize=7) accepts alphabet size of the sequence as argument and is invoked on 3 training sequences: (1) Music notes sequence in octave notation (2) First few digits of Pi (3) and an incomplete article paragraph text. Function extend_sequence(trainingsequence,length=1) configures the additional elements added to the sequence extended from training sequence by length argument. 1669.5 Logs python-src/testlogs/BayesianExtrapolateSequence.log.9June2026 run through the prior computation and next element prediction for 3 sequences earlier (for length=1) 1669.6 For text sequences, earlier implementation is equivalent to 1-order Markov model (section 2.14 - k-order model - Bayesian conditional probability of successor substrings for predecessor substrings of length k) 1669.7 Earlier implementation is an approximation and its accuracy improves as the training sequence gets larger.It serves as a utility for predicting next elements in sequences arising across multiple disciplines - music, stock market tickers, text sequences, numeric sequences among others.
Srinivasan Kannan
More... 4 months ago
Section 1668 updated
Srinivasan Kannan
More... 5 months ago
1668. (THEORY and FEATURE) Software Analytics - Kernel Analytics and Scheduler Analytics - Enhanced Berkeley Packet Filter (eBPF) Observability - runqlat and runqlen added to bpftrace script - related to 561,1191,619,770,906,911,771,1192,1443,1459,1488 and all sections on Program Analysis, AsFer-USBmd-VIRGO-KingCobra FTrace kernel callgraph analysis - Valgrind-Callgrind-KCacheGrind-Flamegraph userspace callgraph analysis, SATURN control flow analysis of VIRGO linux kernel, Software Analytics, Pandemic model of Botnet-Defense adversarial Game theoretic security, Cybercrime analytics, Anti-Malware,Anti-Ransomware,Anti-Theft and Anti-Plagiarism tools, KML, LAKE,Intrusion Prevention-Detection Systems(IDS and IPS),Anomaly Detection - 4 June 2026
Srinivasan Kannan
More... 5 months ago
------------------------------------------------------------------------------------------- 1668. (THEORY and FEATURE) Software Analytics - Kernel Analytics and Scheduler Analytics - Enhanced Berkeley Packet Filter (eBPF) Observability - runqlat and runqlen added to bpftrace script - related to 561,1191,619,770,906,911,771,1192,1443,1459,1488 and all sections on Program Analysis, AsFer-USBmd-VIRGO-KingCobra FTrace kernel callgraph analysis - Valgrind-Callgrind-KCacheGrind-Flamegraph userspace callgraph analysis, SATURN control flow analysis of VIRGO linux kernel, Software Analytics, Pandemic model of Botnet-Defense adversarial Game theoretic security, Cybercrime analytics, Anti-Malware,Anti-Ransomware,Anti-Theft and Anti-Plagiarism tools, KML, LAKE,Intrusion Prevention-Detection Systems(IDS and IPS),Anomaly Detection - 4 June 2026 ------------------------------------------------------------------------------------------- 1668.1 python-src/software_analytics/bpftrace.sh has been updated to enable BPF debug traces and include runqlat.bt and runqlen.bt that respectively trace CPU runqueue latency and runqueue lengths - they are invoked by following bpfcc commands: runqlat-bpfcc 1 1 runqlen-bpfcc 1 1 1688.2 Logs testlogs/bpftrace.log.4June2026 show peak runqueue latency at 8-15 and 32-63 microseconds ranges and runqueue length 386: usecs : count distribution 8 -> 15 : 64 |****************************************| ... 32 -> 63 : 46 |**************************** | runqlen : count distribution 0 : 396 |****************************************| 1688.3 Accurate per-CPU runqueue BPF statistics are essential for theoretical Survival Index OS scheduler which is a dynamic hashmap of <timeout>----<list of threads-processes> envisaged in section 751 of https://github.com/shrinivaasanka/Grafit/blob/master/course_material/NeuronRain/AdvancedComputerScienceAndMachineLearning/AdvancedComputerScienceAndMachineLearning.txt. Runqlat and Runqlen are one step closer to this requirement which provide consolidated number of processes per CPU but not the list of process IDs. 1688.4 eBPF observable traces produced in testlogs/bpftrace.log.4June2026 could be translated to /etc/kernel_analytics.conf variables exported kernelwide as AI analytics with additional preprocessing (section 1459.4)
Srinivasan Kannan
More... 5 months ago
Section 1667 updated
Srinivasan Kannan
More... 5 months ago
1667. (THEORY and FEATURE) Social Network Analysis - Additional settings for PIPL analytics and revised prompt for AI people analytics by OpenAI - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442,1452,1532,1534,1547,1555,1571,1592,1605,1645,1657 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,Code search of opensource repositories,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar,Birthday Paradox,Matching in Matrimony-Professional-Personal Social Media Network Profiles,Tree matching - 31 May 2026
Srinivasan Kannan
More... 5 months ago
-------------------------------------------------------------------------------------------------- 1667. (THEORY and FEATURE) Social Network Analysis - Additional settings for PIPL analytics and revised prompt for AI people analytics by OpenAI - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442,1452,1532,1534,1547,1555,1571,1592,1605,1645,1657 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,Code search of opensource repositories,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar,Birthday Paradox,Matching in Matrimony-Professional-Personal Social Media Network Profiles,Tree matching - 31 May 2026 ------------------------------------------------------------------------------------------------- 1667.1 python-src/SocialNetworkAnalysis_PeopleAnalytics.py has been updated to redefine pipldotdoc_analytics() list of parameters by including additional search settings documented by PIPL at https://docs.pipl.com/reference/configuration-parameters: def pipldotcom_analytics(self, first_name=None, last_name=None, email=None, loadfromjson=True, minprob=0.1,sources=True,sourceids=True,pretty=True, inference=True, minmatch=None, hidesponsored=None,livefeeds=True, topmatch=False): 1667.2 Earlier additional arguments are passed on to PIPL API set_default_settings() to widen the scope of person search based on user defined minimum match probability, inference of persons automatically, scouring of live feeds, choosing only top match etc.,: SearchAPIRequest.set_default_settings(api_key=u'20307is19nx0tu0mar4zt987', minimum_probability=minprob,show_sources=sources, show_sourceids=sourceids, pretty=pretty, infer_persons=inference, minimum_match=minmatch, hide_sponsored=hidesponsored, live_feeds=livefeeds, top_match=topmatch) 1667.3 Function AI_people_analytics() that wraps OpenAI prompt for people analytics has been input with a comprehensive prompt to find social,academic and professional references to a person online based on his CV: hranal.AI_people_analytics("Perform a deep analysis of social, academic and professional references to Srinivasan Kannan - PSG Tech 1995-1999, CMI 2008-2011, Krishna iResearch FOSS based on CV text:" + profile_text1 + "," + profile_text2 + "," + profile_text3 + ". Assume yes for all follow-up questions") 1667.4 QA test logs for earlier update are at SocialNetworkAnalysis_PeopleAnalytics.log.31May2026
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 5 months ago
Section 1659 updated
Srinivasan Kannan
More... 6 months ago