• KOREAN JOURNAL OF CROP SCIENCE
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• v.46 no.3
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• pp.209-214
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• 2001

Physiological responses of rice to the flooding time of different water turbidity (clear water, sub-muddy water, muddy water) were analyzed as photosynthesis, chlorophyll fluorescence, transpiration, and physiological recovery. Photosynthetic rate was higher as turbidity increased and decreased as flooding time was extended. Floodings of 36 hrs and 42 hrs were resulted in 25% and 50% decrease of photosynthetic rate, respectively. Transpiration rate was higher in high turbidity (increased 30%, 25%, and 20% in clear, sub-muddy, and muddy water, respectively) and in increased floodings. Fv/Fm decreased as increased turbidity and flooding time. About 20% decrease of Fv/Fm was recorded in 48 hrs and 36 hrs after flooding with clear water and sub-muddy water(including muddy water), respectively. Total nitrogen was decreased with flooding treatment. Significant decrease of total nitrogen was occurred 36 hrs after flooding with muddy water, Dry weight measured 2 weeks after flooding treatment as an indication of recovery of flooding stress didn't show significant difference with turbidity, but significantly decreased as flooding time was prolonged. About 25% and 50% decreases were found in 24 hrs and 42 hrs flooding time, respectively. furthermore, 48 hrs of flooding with sub-muddy and muddy water resulted in no physiological recovery. Photosynthetic rate was decreased 15% and 10% with clear water and muddy water(including sub-muddy water), respectively. The rate was dramatically decreased 42 hrs after flooding. Transpiration rate increased about 20% regardless of turbidity and flooding time. We found transitory decrease of photosynthetic and transpiration rate at the point of 24 hrs after flooding and right after do-flooding.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.46 no.3
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• pp.215-220
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• 2001

Biochemical responses of rice to the flooding stress with different water turbidities and flooding time were evaluated. About 20% decrease of soluble protein was occurred with flooding stress. The decreasing rate was higher as flooding time and higher turbidity increased. Especially, dramatic decrease of soluble protein content was observed after 36 hrs of flooding. No protein subunit change was found before and after flooding. However, subunit product of 53 Kd increased from the beginning of flooding and subunit of 28 Kd was increased 48 hrs and 54 hrs after flooding. Lipid peroxidation increased about 150% by flooding. There was no significant difference in lipid peroxidation between clear and sub-muddy water, However, the lipid peroxidation was increased up to 180% at 60hrs of flooding. The malondialdehyde content (MDA) was higher in muddy water at the beginning of flooding and increased about 190-200% 36 hrs after flooding. Catalase activity increased with increasing turbidity and flooding time. Forty eight hours of flooding time provided a criteria for dramatic increase of catalase activity. In general, increase of saturated fatty acids and decrease of unsaturated fatty acids occurred with flooding treatment. Among unsaturated fatty acids, monounsaturated increased and polyunsaturated decreased. Double bond index(DBI) decreased as flooding time was extended and turbidity increased.

• ETRI Journal
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• v.44 no.2
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• pp.346-354
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• 2022

The SYN flooding attack is widely used in cyber attacks because it paralyzes the network by causing the system and bandwidth resources to be exhausted. This paper proposed a self-information approach for detecting the SYN flooding attack and provided a detection algorithm with a hierarchical policy on a detection time domain. Compared with other detection methods of entropy measurement, the proposed approach is more efficient in detecting the SYN flooding attack, providing low misjudgment, hierarchical detection policy, and low time complexity. Furthermore, we proposed a detection algorithm with limiting system resources. Thus, the time complexity of our approach is only (log n) with lower time complexity and misjudgment rate than other approaches. Therefore, the approach can detect the denial-of-service/distributed denial-of-service attacks and prevent SYN flooding attacks.

• Korean Journal of Environmental Agriculture
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• v.30 no.4
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• pp.377-381
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• 2011

BACKGROUND: Ammonia emissions from field-applied livestock manure are considered a threat to the environment worldwide. In Korea, a large amount of liquid manure was applied in the rice field before rice transplanting in order to reduce chemical fertilizer use. This study was conducted to provide the optimal flooding time after liquid manure application in an attempt to minimize ammonia emission. METHODS AND RESULTS: Ammonia emission from paddy field applied with liquid pig manure following different flooding time was measured using the dynamic chamber method. The five treatments used were : application of liquid pig manure to paddy field in flooding condition (F0T); one day (F1T) and three days (F3T) after flooding; without flooding (NF), and flooding without the application of liquid pig manure (control). Among the treatment, the highest ammonia emission was observed in F0T. The cumulative ammonia emission of F1T and F3T for 12 days were very similar and were about 4.7 times less than that of the F0T treatment. CONCLUSIONS: Ammonia emission in paddy field could be significantly reduced by liquid pig manure application after flooding rather than application of liquid pig manure in flooding condition. Therefore, flooding after liquid pig manure application would provide much more nitrogen for rice growth due to the reduction of ammonia emission.

• Journal of Communications and Networks
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• v.12 no.4
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• pp.375-381
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• 2010

A flooding attack, such as DoS or Worm, can be easily created or even downloaded from the Internet, thus, it is one of the main threats to servers on the Internet. This paper presents an online real-time network response system, which can determine whether a LAN is suffering from a flooding attack within a very short time unit. The detection engine of the system is based on the incremental mining of fuzzy association rules from network packets, in which membership functions of fuzzy variables are optimized by a genetic algorithm. The incremental mining approach makes the system suitable for detecting, and thus, responding to an attack in real-time. This system is evaluated by 47 flooding attacks, only one of which is missed, with no false positives occurring. The proposed online system belongs to anomaly detection, not misuse detection. Moreover, a mechanism for dynamic firewall updating is embedded in the proposed system for the function of eliminating suspicious connections when necessary.

• Annual Conference of KIPS
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• 2015.04a
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• pp.216-217
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• 2015

Duty-cycling could efficiently prolong the life time of Wireless Sensor Networks (WSNs) by let nodes be in dormant state most of the time, and only wake up (for sending or receiving) for a very short period. Flooding is one critical operation of WSNs. Many studies have been studied to improve the delay and/or energy efficiency of flooding. In this paper, we propose a novel time slot design, and the switching decision that reduce energy consumption for the schedule-based flooding tree. Each node, if failed to receive from its parent, will look for other candidate, among its siblings to overhear the flooding packet. By accurately collect information from other siblings, each node can make the best as possible switching decision; therefore the energy efficiency of the network is improved.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.385-392
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• 2015

In IoT(Internet of Things), it is important for wireless networks to communicate data created among resource-constrained wireless nodes, where time synchronization is needed for meaningful data creation and transmission. Time Synchronization by flooding is one of the mostly used protocols for WSN(Wireless Sensor Networks). Even though this type of scheme has some advantages over other types (i.e. a simple algorithm and independency of topology and so on), too many data transmission is required, leading to large power consumption. So, reducing transmission data is an important issue for energy efficiency in this kind of networks. In this paper, a new Flooding-based time synchronization protocol is proposed to use energy efficiently by reducing a transmitted traffic. The proposed scheme's performance has been evaluated and compared with an representative scheme, FTSP(Flooding Time Synchronization Protocol) by simulation. The results are shown that the proposed scheme is better than FTSP.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.261-268
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• 2018

The study used the simplified flooding analysis model, SIMOD, to distribute the total flood discharge by time, so research on flooding in urban areas can be conducted. The conventional flooding analysis models have limitations in constructing input data and take a long time for analysis. However, SIMOD is useful because it supports rapid decision-making process using quick modeling based on simple hydrological data, such as topography and inflow flood of the study area, to analyze submerged routes formed by flooding. Therefore, the study used the SIMOD model to analyze flooding in urban areas before conducting a comparative study with the outputs from FLO-2D, which is one of the conventional flooding analysis models, to identify the model's applicability. Seongseoje was selected as the study area, as it is located downstream the Geumho river where streams flow in the adjacent areas, and dikes are high enough to apply the "Overflow and Break" scenario for urban areas. With regard to topography, the study applied DEM data for the conventional flooding analysis and DSM data to represent urban building communities, distribution of roads, etc. Input flood discharge was calculated by applying the rectangular weir equation under the bank and break scenario through a 200-year return period of a design flood level. Comparative analysis was conducted in a flooded area with a simulation time of 1-24 hours. The time for the 24-hour simulation in SIMOD was less than 7 minutes. Compared with FLO-2D, the difference in flooded areas was less than 20%. Furthermore, the study identified the need for topography data using DSM for urban areas, as the analysis result that applies DSM showed the influence of roads and buildings.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.2
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• pp.181-189
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• 2003

A virtual flood scenario has been constructed to investigate the overflowing process in the flooding area. The topography is constructed using the airborne LIDAR data. In addition, the frequency and scale of the flooding and the destruction condition of the flooding defensive structure are used as input to the scenarios. Through the scenario, the inundation depth with respect to time and maximum depth has been analyzed. This analysis shows the water level variation with time which show the flooding process. Moreover, a flooding map is drawn using the results from the scenario, distribution of the defensive structure, vulnerable area, and expected destruction points in the study area. It is expected that this study can be effectively used to examine the flooding process and flood disaster management. Furthermore, it could provide important basic information for the land development and the city planning of a possible flooding area.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.278-282
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• 2004

Recently traffic flooding attack has happened faster and faster owing to expansion of the worm attack and development of the method of traffic flooding attack. The method in the past time is problematic in detecting the recent traffic flooding attacks, which are running quickly. Therefore, this paper aims to establish the algorithm which reduces the time of detection to traffic flooding attack in collecting and analyzing traffics.