• Title/Summary/Keyword: observation ability

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Fault Diagnosis Method Based on High Precision CRPF under Complex Noise Environment

  • Wang, Jinhua;Cao, Jie
    • Journal of Information Processing Systems
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    • v.16 no.3
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    • pp.530-540
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    • 2020
  • In order to solve the problem of low tracking accuracy caused by complex noise in the fault diagnosis of complex nonlinear system, a fault diagnosis method of high precision cost reference particle filter (CRPF) is proposed. By optimizing the low confidence particles to replace the resampling process, this paper improved the problem of sample impoverishment caused by the sample updating based on risk and cost of CRPF algorithm. This paper attempts to improve the accuracy of state estimation from the essential level of obtaining samples. Then, we study the correlation between the current observation value and the prior state. By adjusting the density variance of state transitions adaptively, the adaptive ability of the algorithm to the complex noises can be enhanced, which is expected to improve the accuracy of fault state tracking. Through the simulation analysis of a fuel unit fault diagnosis, the results show that the accuracy of the algorithm has been improved obviously under the background of complex noise.

Improved Inhibition of Human Immunodeficiency Virus Type 1 Replication by Intracellular Co-overexpression of TAR and RRE Decoys in Tandem Array

  • Lee, Seong-Wook
    • Journal of Microbiology
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    • v.41 no.4
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    • pp.300-305
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    • 2003
  • Intracellular expression of RNA decoys, such as TAR or RRE decoy, has been previously shown to protect immune cells from human immunodeficiency virus type 1 (HIV-1) replication by inhibiting the binding of the HIV-1 regulatory protein to the authentic HIV RNA sequence. However, HIV-1 challenge experiments of primary human T cells, which express the RNA decoy, demonstrated that the cells were only transiently protected, and hence, more improved protocols for HIV-1 inhibition with the RNA decoys need to be developed. In this report, in order to develop a more effective RNA decoy, we analyzed and compared the ability of a series of RNA decoy derivatives in inhibiting HIV-1 replication in CEM cells. Using an improved tRNA cassette to express high levels of RNA decoy transcripts in cells, we found that co-expression of both TAR and RRE decoys, in the form of an aligned sequence in a single transcription cassette, much more potently blocked cells from HIV-1 than the expression of only one kind of RNA decoy. This observation will have an important implication for experiments involving optimization of clinical applications in RNA decoy-based gene therapy against HIV-1.

Exploring of Elementary Pre-Service Teacher's Skills Using Technologies and Study on Instructional Models (초등 예비교사의 테크놀로지 활용역량 탐색 및 수업모델 연구)

  • Park, HakNeung;Ma, Daisung
    • Journal of The Korean Association of Information Education
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    • v.23 no.1
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    • pp.97-106
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    • 2019
  • Based on previous studies such as TPACK, digital literacy, and maker education, this study searched the Skills for Using Technologies required for elementary school pre - service teachers and classified them into 13 sub - factors in 5 domains. We designed and applied a project-based maker education instructional model to improve Skills for Using Technologies for first grade students at G Education University taking "technology utilization and smart life". Through interviews after the lecture and after the lecture, the ability of university students to utilize the technology was examined and the acceptance attitude was improved. We also modified the project-based maker education model based on interviews, observation logs, and mutual evaluations of college students.

Evaluation of the Grinding Performance of an Engine Block Honing Stone through Monitoring of Workload and Heat Generation (작업부하 및 발열 모니터링에 의한 엔진블록 호닝스톤 연삭성 평가)

  • Yun, Jang-Woo;Kim, Sang-Beom
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.4
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    • pp.69-75
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    • 2019
  • Since gasoline engines are based on a combination of a cast iron liner and an aluminum block, which have different thermal properties and stiffnesses, bore shape distortion is likely to occur during honing due to uneven thermal deformation. To solve this problem, many tests and evaluations are needed to support the development of a high-performance honing stone with low heat generation. Moreover, performance evaluation, which depends on inspection and observation after work, often requires much trial and error to optimize tool design, due to challenges in the accurate interpretation of results. This study confirmed that the assessment of grinding capability was clarified by evaluating performance under severe work conditions and by in-situ measurement and recording of current consumption (workload) and heat generation during operation. As a result of using a honing stone with excellent grinding performance in engine block manufacture-in which cylinder bore distortion caused by thermal deformation during manufacture is a problem-a noticeable improvement in the degree of cylindricity was observed.

Conditions for Reintroduction of Captive-Bred Endangered Birds: A Review

  • Kim, Sooil;Park, Heonwoo;Cheong, Seokwan
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.3 no.3
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    • pp.129-138
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    • 2022
  • Reintroduction programs have been promoted across the world to recover and rehabilitate endangered birds through ex situ captive breeding and releasing to the nature. The ultimate aims of these reintroduction programs are recovery of sustainable populations in natural habitats. To ensure the success of the reintroduction programs, it is necessary to examine the followings in order to increase the success rate of releasing along with the development of captive breeding techniques: 1) Adequate habitat provision, 2) adaptability of captive-bred individuals, 3) survivability of released individuals, and 4) social interest and will. Before releasing captive-bred individuals, it should be reviewed whether there are habitats in which the limiting factor is removed, and assessed their long-term safety. The quantity and quality of the released individuals must be considered to increase the chances for mate selection, maintain genetic diversity, and acquire the ability to adapt to the wild. The release method must be decided in consideration of characteristics of the target habitats and individuals, and rational means such as careful observation, evaluation, and feedback must be provided throughout the release process. For the long-term success of recovery projects, social awareness, sustainable support, and related experts are needed. Satisfying these criteria can help to increase the success rates of reintroduction programs. For the bird reintroduction program in the future, the feasibility of the methods and procedures must be closely reviewed before starting.

Classification of Livestock Diseases Using GLCM and Artificial Neural Networks

  • Choi, Dong-Oun;Huan, Meng;Kang, Yun-Jeong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.173-180
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    • 2022
  • In the naked eye observation, the health of livestock can be controlled by the range of activity, temperature, pulse, cough, snot, eye excrement, ears and feces. In order to confirm the health of livestock, this paper uses calf face image data to classify the health status by image shape, color and texture. A series of images that have been processed in advance and can judge the health status of calves were used in the study, including 177 images of normal calves and 130 images of abnormal calves. We used GLCM calculation and Convolutional Neural Networks to extract 6 texture attributes of GLCM from the dataset containing the health status of calves by detecting the image of calves and learning the composite image of Convolutional Neural Networks. In the research, the classification ability of GLCM-CNN shows a classification rate of 91.3%, and the subsequent research will be further applied to the texture attributes of GLCM. It is hoped that this study can help us master the health status of livestock that cannot be observed by the naked eye.

Evaluation of the Capacity of Rural Communities in Indonesia to Improve the Economic Welfare

  • RIANI, Westi;FADHILAH, Alya Muthia;HARYADI, Sigit
    • The Journal of Industrial Distribution & Business
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    • v.13 no.9
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    • pp.1-9
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    • 2022
  • Purpose: This study evaluates the ability to improve the economic welfare of rural communities in Indonesia by using the inequality measures of the distribution of information between leaders and their people as a variable that weakens the capacity of increasing the welfare. Research Design, Data, and Methodology: The research designed by developing an instrument using data validity and reliability testing. Before, primary data collected through interviews, questionnaires, observation, and documentation on the selected respondents. Then, the research method used is mixed methods research, in which quantitative and qualitative methods combined. Result: The finding from this study is that there is an inequality measure in the form of a high gap between the score of information distribution obtained by the village government compared to the score of the community, which has led to the welfare of the village which is still at a moderate level and not ready to become a prosperous society. Conclusion: The weakness of the village community is related to two things, namely the behavior and knowledge of the community about the issues, so the implication is that there must be a strong effort from the central government to ensure that technology is more evenly distributed to all villagers.

A Metaheuristic Approach Towards Enhancement of Network Lifetime in Wireless Sensor Networks

  • J. Samuel Manoharan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1276-1295
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    • 2023
  • Sensor networks are now an essential aspect of wireless communication, especially with the introduction of new gadgets and protocols. Their ability to be deployed anywhere, especially where human presence is undesirable, makes them perfect choices for remote observation and control. Despite their vast range of applications from home to hostile territory monitoring, limited battery power remains a limiting factor in their efficacy. To analyze and transmit data, it requires intelligent use of available battery power. Several studies have established effective routing algorithms based on clustering. However, choosing optimal cluster heads and similarity measures for clustering significantly increases computing time and cost. This work proposes and implements a simple two-phase technique of route creation and maintenance to ensure route reliability by employing nature-inspired ant colony optimization followed by the fuzzy decision engine (FDE). Benchmark methods such as PSO, ACO and GWO are compared with the proposed HRCM's performance. The objective has been focused towards establishing the superiority of proposed work amongst existing optimization methods in a standalone configuration. An average of 15% improvement in energy consumption followed by 12% improvement in latency reduction is observed in proposed hybrid model over standalone optimization methods.

Impact of assimilating the terrestrial water storage on the water and carbon cycles in CLM5-BGC

  • Chi, Heawon;Seo, Hocheol;Kim, Yeonjoo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.204-204
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    • 2021
  • Terrestrial water storage (TWS) includes all components of water (e.g., surface water, groundwater, snow and ice) over the land. So accurately predicting and estimating TWS is important in water resource management. Although many land surface models are used to predict the TWS, model output has errors and biases in comparison to the observation data due to the model deficiencies in the model structure, atmospheric forcing datasets, and parameters. In this study, Gravity Recovery And Climate Experiment (GRACE) satelite TWS data is assimilated in the Community Land Model version 5 with a biogeochemistry module (CLM5.0-BGC) over East Asia from 2003 to 2010 by employing the Ensemble Adjustment Kalman Filter (EAKF). Results showed that TWS over East Asia continued to decrease during the study period, and the ability to simulate the surface water storage, which is the component of the CLM derived TWS, was greatly improved. We further investigated the impact of assimilated TWS on the vegetated and carbon related variables, including the leaf area index and primary products of ecosystem. We also evaluated the simulated total ecosystem carbon and calculated its correlation with TWS. This study shows that how the better simulated TWS plays a role in capturing not only water but also carbon fluxes and states.

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Pan-Genome Analysis Reveals Origin Specific Genome Expansion in Enterococcus mundtii Strains

  • Neeti Pandey;Raman Rajagopal;Shubham Dhara
    • Microbiology and Biotechnology Letters
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    • v.52 no.2
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    • pp.163-178
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    • 2024
  • Pan-genome analysis is used to interpret genome heterogeneity and diversification of bacterial species. Here, we present pan-genome analysis of 22 strains of Enterococcus mundtii. The GenBank file of E. mundtii strains that have been isolated from different sources i.e., human fecal matter, soil, leaf, dairy products, and insects was downloaded from National Center for Biotechnology Information (NCBI) database and analyzed using BPGA-1.3.0 (Bacterial Pan Genome Analysis) pipeline. Out of a total, 4503 gene families, 1843 belongs to the core genes whereas 1,762 gene families represent the accessory genes and 898 gene families depict the unique genes among all the selected genomes. Majority of the core genes belongs to the categories of Metabolism (37.83%) and Information storage & processing (29.84%) whereas unique genes belongs to the category of Information storage & processing (48.08%). Further, accessory genes are almost equally present in both functional categories i.e. Information storage & processing and Metabolism (34.34% and 32.27% respectively). Further, subset analysis on the basis of the origin of isolates exhibits presence and absence of exclusive gene families. The observation suggests that even closely related strains of a species show extensive disparity in genome owing to their ability to adapt to a specific environment.