Multi-log analysis platform for supporting public safety service

Park, Soo Young; Kwon, Eunjung; Jung, Eui-Suk; Byon, Sungwon; Lee, Hyun–Woo; Lee, Yong-Tae

doi:10.1109/ictc.2017.8190878

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…The proposed MLDA in this study facilitates multilog analysis for improving the detection of dangerous situations. In Park and others [16], we proposed the multilog data that indicate the contextual states of humans, objects, and places. The MLDA analyzes human-log and place-log data, which are contextual logs of humans and places, respectively.…”

Section: Introductionmentioning

confidence: 99%

Danger detection technology based on multimodal and multilog data for public safety services

et al. 2021

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Recently, public safety services have attracted significant attention for their ability to protect people from crimes. Rapid detection of dangerous situations (that is, abnormal situations where someone may be harmed or killed) is required in public safety services to reduce the time required to respond to such situations.This study proposes a novel danger detection technology based on multimodal data, which includes data from multiple sensors (for example, accelerometer, gyroscope, heart rate, air pressure, and global positioning system sensors), and multilog data, which includes contextual logs of humans and places (for example, contextual logs of human activities and crime-ridden districts) over time. To recognize human activity (for example, walk, sit, and punch), the proposed technology uses multimodal data analysis with an attitude heading reference system and long short-term memory. The proposed technology also includes multilog data analysis for detecting whether recognized activities of humans are dangerous. The proposed danger detection technology will benefit public safety services by improving danger detection capabilities.

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Section: Introductionmentioning

confidence: 99%

Danger detection technology based on multimodal and multilog data for public safety services

et al. 2021

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“…Increasing efforts are devoted to address the problem of water scarcity caused by the deteriorating climate issue, overgrowth of population, and industrialization. , Membrane technology for water reuse has attracted increasing interest on account of its excellent cost-effectiveness, lower footprint, and the high separation efficiency, especially reverse osmosis (RO) which can separate most contaminants such as inorganic ions and small organic molecules. − In the recent decades, the performance of RO membranes has been boosted greatly to allow high productivity and lower energy cost. , In 2014, it was predicted that, by increasing the water permeability of existing membranes 3-fold, the total energy input for brackish water desalination can be reduced by 46% . This makes highly permeable membranes attractive in areas where water purification from brackish water is important.…”

Section: Introductionmentioning

confidence: 99%

Double Cross-Linked POSS-Containing Thin Film Nanocomposite Hollow Fiber Membranes for Brackish Water Desalination via Reverse Osmosis

Guo

Japip

et al. 2020

Ind. Eng. Chem. Res.

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We report the development of double-cross-linked thin film nanocomposite (TFN) hollow fiber membranes based on polyhedral oligomeric silsesquioxane (POSS) at scalable fabrication conditions for ultrafast brackish water desalination. The optimized spinning conditions allowed the fabrication of effective and robust hollow fiber supports at high spinning speed, zero water content in the dope, and relatively large inner dimension. POSS was then introduced into the interfacial polymerization process to form a double cross-linked network. With proper pH adjustment, the water permeability was enhanced by 47.7% with higher salt rejection, eventually reaching a pure water permeability of 7.5 ± 0.2 L m–2 h–1 bar–1 and 98.3 ± 0.2% rejection to NaCl after post-treatment. The mechanism was revealed by different techniques such as positron annihilation spectra and zeta potential. The membrane also demonstrated resistance to bacteria attachment and showed promising results in treating membrane bioreactor filtrate from a local water reclamation plant.

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Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping Study

Korzeniowski

Goczyła

2022

IEEE Access

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Logging is a common practice in software engineering to provide insights into working systems. The main uses of log files have always been failure identification and root cause analysis. In recent years, novel applications of logging have emerged that benefit from automated analysis of log files, for example, real-time monitoring of system health, understanding users' behavior, and extracting domain knowledge. Although nearly every software system produces log files, the biggest challenge in log analysis is the lack of a common standard for both the content and format of log data. This paper provides a systematic review of recent literature (covering the period between 2000 and June 2021, concentrating primarily on the last five years of this period) related to automated log analysis. Our contribution is threefold: we present an overview of various research areas in the field; we identify different types of log files that are used in research, and we systematize the content of log files. We believe that this paper serves as a valuable starting point for new researchers in the field, as well as an interesting overview for those looking for other ways of utilizing log information.

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Multi-log analysis platform for supporting public safety service

Cited by 6 publications

References 4 publications

Danger detection technology based on multimodal and multilog data for public safety services

Danger detection technology based on multimodal and multilog data for public safety services

Double Cross-Linked POSS-Containing Thin Film Nanocomposite Hollow Fiber Membranes for Brackish Water Desalination via Reverse Osmosis

Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping Study

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