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Related Concept Videos

Passive Filters01:27

Passive Filters

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Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
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Active Filters01:25

Active Filters

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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Molecular Models02:00

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
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Weak Base Solutions03:21

Weak Base Solutions

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Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
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Base Excision Repair01:54

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One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
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Related Experiment Video

Updated: Feb 15, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Search model based on Kalman Filter and Monte Carlo simulation.

Jinhan Liu1, Yujing Li1, Xuhua Liu1

  • 1College of Science, China Agricultural University, Beijing, Beijing, China.

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Summary

This study introduces a Kalman filter model and Monte Carlo simulation for predicting submersible locations during search and rescue operations. The method enhances search efficiency by calculating probable areas and deployment points for missing submersibles.

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Area of Science:

  • Marine robotics and autonomous systems
  • Search and rescue technologies
  • Oceanographic modeling

Background:

  • Locating distressed submersibles is challenging due to dynamic marine environments.
  • Accurate prediction of submersible location is crucial for effective search and rescue (SAR) operations.
  • Existing methods may lack the precision needed for complex underwater scenarios.

Purpose of the Study:

  • To develop an advanced method for predicting the location of faulty or missing submersibles.
  • To provide robust information support for SAR missions using predictive modeling.
  • To improve the probability of successfully locating submersibles in distress.

Main Methods:

  • Utilized the HYCOM model for simulating marine environments.
  • Applied the Kalman filter model for real-time submersible position prediction.
  • Employed Monte Carlo simulations to analyze probability distributions of submersible location post-fault.
  • Introduced a nearest neighbor correlation algorithm for multi-target tracking.

Main Results:

  • Quantitatively determined the minimum plane projection area for initial search deployment.
  • Analyzed the probability of submersible detection over time and with cumulative search efforts.
  • Demonstrated the advancement of the proposed method through comparative analysis.
  • Successfully predicted the motion of multiple submersibles within the same area.

Conclusions:

  • The proposed Kalman filter and Monte Carlo simulation approach significantly enhances submersible search and rescue efficiency.
  • The method provides a reliable framework for predicting submersible locations and optimizing search strategies.
  • Integration of nearest neighbor correlation algorithm improves multi-submersible tracking capabilities.