Time-Bounded Knowledge Drift Tracker
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V2I2P107Keywords:
Knowledge Drift, SOP Compliance, Timekeeping Integration, Changepoint Detection, Learning Lag, Workforce Training, Drift Detection System, Procedural Updates, Digital SOPs, Smart Retraining, Compliance MonitoringAbstract
Businesses face a growing difficulty in present day's fast-paced, information-driven environments: knowledge drift the phenomena whereby established by their procedures are more progressively misaligned with how work is actually done over time. Emphasizing reducing their operational inefficiencies & also guaranteeing their alignment between formal processes & also daily execution, the "Time-Bounded Knowledge Drift Tracker" offers a methodical approach to discover & regulate this procedural mismatch. This article offers a system combining task-level audits, time-bound checkpoints & also contextual metadata analysis to track more procedural integrity across teams and also time frames. This approach encourages regular observation and comparison of stated procedures against more actual operations rather than depending only on top-down audits or more infrequent performance reviews. By use of a combination of digital monitoring technologies, employee input & also process records, the system examines minute changes in the execution of more operations, therefore detecting areas where deviation can result in compounding inefficiencies, compliance problems, or loss of institutional knowledge. Early discovery of drift allowed proactive recalibration of training, documentation, and task assignments, thereby improving procedural adherence and team productivity at a mid-sized technology company by means of a prototype deployment across many teams. The results highlight the requirement of treating knowledge drift as a dynamic, time-sensitive phenomenon requiring constant monitoring and reaction modification rather than as an isolated incident. This article argues for a transformation in corporate knowledge management that supports openness, adaptability & also regular recalibration over strict conformance. Time-bound knowledge drift tracker integration into everyday operations helps companies to ensure that procedural alignment evolves with worker behavior, therefore guaranteeing both agility & accountability in a corporate environment always evolving
References
[1] Napier, Ashley, Gabe Sibley, and Paul Newman. "Real-time bounded-error pose estimation for road vehicles using vision." 13th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2010.
[2] Bisgaard, Morten, et al. "Battery-aware scheduling in low orbit: the GomX–3 case." Formal Aspects of Computing 31 (2019): 261-285.
[3] Dixit, Shilp, et al. "Integral MRAC with bounded switching gain for vehicle lateral tracking." IEEE transactions on control systems technology 29.5 (2020): 1936-1951.
[4] Le Lann, Gérard. "On safety in ad hoc networks of autonomous and communicating vehicles: A rationale for time-bounded deterministic solutions." CoRes 2017-2ème Rencontres Francophones surla Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication. 2017.
[5] Buonocunto, Pasquale, and Mauro Marinoni. "Tracking limbs motion using a wireless network of inertial measurement units." Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014). IEEE, 2014.
[6] Alonso, Ignacio Parra, et al. "Accurate global localization using visual odometry and digital maps on urban environments." IEEE Transactions on Intelligent Transportation Systems 13.4 (2012): 1535-1545.
[7] Ali Asghar Mehdi Syed. “High Availability Storage Systems in Virtualized Environments: Performance Benchmarking of Modern Storage Solutions”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 9, no. 1, Apr. 2021, pp. 39-55
[8] Loh, William, et al. "Operation of an optical atomic clock with a Brillouin laser subsystem." Nature 588.7837 (2020): 244-249.
[9] Annoni, Massimiliano, et al. "A real-time configurable NURBS interpolator with bounded acceleration, jerk and chord error." Computer-Aided Design 44.6 (2012): 509-521.
[10] Paidy, Pavan. “Zero Trust in Cloud Environments: Enforcing Identity and Access Control”. American Journal of Autonomous Systems and Robotics Engineering, vol. 1, Apr. 2021, pp. 474-97
[11] Odelga, Marcin, Paolo Stegagno, and Heinrich H. Bülthoff. "Obstacle detection, tracking and avoidance for a teleoperated UAV." 2016 IEEE international conference on robotics and automation (ICRA). IEEE, 2016.
[12] Shin, Paul J., Johnny Park, and Avinash C. Kak. "A QoS evaluation testbed for MAC protocols for wireless camera networks." 2007 First ACM/IEEE International Conference on Distributed Smart Cameras. IEEE, 2007.
[13] Anusha Atluri. “The Revolutionizing Employee Experience: Leveraging Oracle HCM for Self-Service HR”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 7, no. 2, Dec. 2019, pp. 77-90
[14] Bernardini, Sara, et al. "Leveraging probabilistic reasoning in deterministic planning for large-scale autonomous search-and-tracking." Proceedings of the International Conference on Automated Planning and Scheduling. Vol. 26. 2016.
[15] Davison, Andrew J., and David W. Murray. "Simultaneous localization and map-building using active vision." IEEE transactions on pattern analysis and machine intelligence 24.7 (2002): 865-880.
[16] Esquivel, Sandro, Reinhard Koch, and Heino Rehse. "Time budget evaluation for image-based reconstruction of sewer shafts." Real-Time Image and Video Processing 2010. Vol. 7724. SPIE, 2010.
[17] Anusha Atluri. “The Security Imperative: Safeguarding HR Data and Compliance in Oracle HCM”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 7, no. 1, May 2019, pp. 90–104
[18] Sidaoui, Abbas, et al. "A-slam: Human in-the-loop augmented slam." 2019 International conference on robotics and automation (ICRA). IEEE, 2019.
[19] Goldhoorn, Matthias, and Sylvain Joyeux. "Extension of a plan-based component manager for real time adaptation." ISR/Robotik 2014; 41st International Symposium on Robotics. VDE, 2014.
[20] Mohanarajesh Kommineni. Revanth Parvathi. (2013) Risk Analysis for Exploring the Opportunities in Cloud Outsourcing.
[21] Sreejith Sreekandan Nair, Govindarajan Lakshmikanthan (2020). Beyond VPNs: Advanced Security Strategies for the Remote Work Revolution. International Journal of Multidisciplinary Research in Science, Engineering and Technology 3 (5):1283-1294.
