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Qiao, Mu,Lim, Jae-Hong,Ji, Chang-Woo,Chung, Bu-Keun,Kim, Hwang-Yang,Uhm, Ki-Baik,Myung, Cheol-Soo,Cho, Jong-Man,Chon, Tae-Soo 한국응용곤충학회 2008 Journal of Asia-Pacific Entomology Vol. No.
Accurate forecasting of pest density is essential for effective pest management. In this study, a simple Image processing system that automatically estimated the density of whiteflies on sticky traps was developed. The estimated densities of samples in a laboratory and a greenhouse were in accordance with the actual values. The detection system was especially efficient when the whitefly densities were at medium to high levels, however, the development of identification algorithms and more appropriate collection methods may improve the image processing system. Taken together, the results of this study indicate that the image processing system described here may be useful for evaluating the population dynamics.
Computational Analysis on Response Behaviors of Tetranychusurticae after the Treatments of Abamectin
Mu Qiao,Bu-Keun Chung,Chang-Woo JI,Tae-Soo Chon 한국응용곤충학회 2009 한국응용곤충학회 학술대회논문집 Vol.2009 No.05
Movement behaviors of specimens of mite (Tetranychus urticae) were computationally analyzed after the treatments of pesticide, abamectin, at a low concentration of 0.78ppb. During the observation period, test specimens were placed individually on the bean leaves (diameter=7mm), and their position was recorded in 2-dimension at 0.25 second intervals (8 hours before treatment and 8 hours after treatment). The selected parameters such as speed, angular change, meander, etc, were checked for characterizing response behaviors after the treatments. The difference of mite behavior was accordingly observed after the treatments, and the time spent in the center area appeared to be longer after the treatments. Additional characterization of movement behaviors was computationally checked, and utilization of behavioral monitoring in pest management was further discussed regarding early detection of susceptible or resistant strains.
Mu Qiao,Jaehong Lim,지창우,Bu-Keun Chung,Hwang-Yong Kim,Ki-Baik Uhm,Cheol Soo Myung,Jongman Cho,전태수 한국응용곤충학회 2008 Journal of Asia-Pacific Entomology Vol.11 No.1
Accurate forecasting of pest density is essential for effective pest management. In this study, a simple image processing system that automatically estimated the density of whiteflies on sticky traps was developed. The estimated densities of samples in a laboratory and a greenhouse were in accordance with the actual values. The detection system was especially efficient when the whitefly densities were at medium to high levels, however, the development of identification algorithms and more appropriate collection methods may improve the image processing system. Taken together, the results of this study indicate that the image processing system described here may be useful for evaluating the population dynamics.
An Intelligent MAC Protocol Selection Method based on Machine Learning in Wireless Sensor Networks
( Mu Qiao ),( Haitao Zhao ),( Shengchun Huang ),( Li Zhou ),( Shan Wang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11
Wireless sensor network has been widely used in Internet of Things (IoT) applications to support large and dense networks. As sensor nodes are usually tiny and provided with limited hardware resources, the existing multiple access methods, which involve high computational complexity to preserve the protocol performance, is not available under such a scenario. In this paper, we propose an intelligent Medium Access Control (MAC) protocol selection scheme based on machine learning in wireless sensor networks. We jointly consider the impact of inherent behavior and external environments to deal with the application limitation problem of the single type MAC protocol. This scheme can benefit from the combination of the competitive protocols and non-competitive protocols, and help the network nodes to select the MAC protocol that best suits the current network condition. Extensive simulation results validate our work, and it also proven that the accuracy of the proposed MAC protocol selection strategy is higher than the existing work.
The Analysis on Time-dependent Reliability of Steel Structural Components under Fire Conditions
Qiao Mu,Gai Fangfang,Zhao Jitao,Sheng Shan 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.11
The stability of steel beams with mechanical properties will be at a loss if they are under high temperature. This paper presents a straightforward and possible time-variant model of the steel beams to be resistant against fire, and also a reliability index analysis method. According to the ISO834 standard heating curve, the steel beam’s reliability is evaluated.
Chunlei Xia,Mu Qiao,Bu-Keun Chung,Jongman Cho,Tae-Soo Chon 한국응용곤충학회 2008 한국응용곤충학회 학술대회논문집 Vol.2008 No.10
Accurate estimation of insect density is essential for effective pest management. A simple robotics and image processing system were combined to automatically recognize the density of whiteflies. Subsequently the robot arm was utilized to spray the pesticides in the area of infestation in a minimized amount. The estimated densities of samples in the laboratory condition were in accordance with the actual values. The detection system was efficient when the whitefly densities were at medium to high levels. The results of the present study indicate that the robotic and image processing integration system described here would be useful for evaluating the population dynamics.
Ratiometric Fluorescent Polymeric Thermometer for Thermogenesis Investigation in Living Cells
Qiao, Juan,Hwang, Yoon-Ho,Chen, Chuan-Fang,Qi, Li,Dong, Ping,Mu, Xiao-Yu,Kim, Dong-Pyo American Chemical Society 2015 ANALYTICAL CHEMISTRY - Vol.87 No.20
<P>Intracellular temperature has a fundamental effect on cellular events. Herein, a novel fluorescent polymer ratiometric nanothermometer has been developed based on transferrin protein-stabilized gold nanoclusters as the targeting and fluorescent ratiometric unit and the thermosensitve polymer as the temperature sensing unit. The resultant nanothermometer could feature a high and spontaneous uptake into the HeLa cells and the ratiometric temperature sensing over the physiological temperature range. Moreover, the precise temperature sensing for intracellular heat generation in HeLa cells following calcium ions stress has been achieved. This practical intracellular thermometry could eliminate the interference of the intracellular surrounding environment in cancer cells without a microinjection procedure, which is user-friendly. The prepared new nanothermometer can provide tools for unveiling the intrinsic relationship between the intracellular temperature and ion channel function.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2015/ancham.2015.87.issue-20/acs.analchem.5b02791/production/images/medium/ac-2015-02791t_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ac5b02791'>ACS Electronic Supporting Info</A></P>
Industrial Process Monitoring and Fault Diagnosis Based on Temporal Attention Augmented Deep Network
( Ke Mu ),( Lin Luo ),( Qiao Wang ),( Fushun Mao ) 한국정보처리학회 2021 Journal of information processing systems Vol.17 No.2
Following the intuition that the local information in time instances is hardly incorporated into the posterior sequence in long short-term memory (LSTM), this paper proposes an attention augmented mechanism for fault diagnosis of the complex chemical process data. Unlike conventional fault diagnosis and classification methods, an attention mechanism layer architecture is introduced to detect and focus on local temporal information. The augmented deep network results preserve each local instance’s importance and contribution and allow the interpretable feature representation and classification simultaneously. The comprehensive comparative analyses demonstrate that the developed model has a high-quality fault classification rate of 95.49%, on average. The results are comparable to those obtained using various other techniques for the Tennessee Eastman benchmark process.
Effect of superfine grinding on properties of Vaccinium bracteatum Thunb leaves powder
Li Jiang,Qi-Xin Xu,Mu Qiao,Fei-Fei Ma,Kiran Thakur,Zhao-Jun Wei 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.6
Vaccinium bracteatum Thunb, have been widely used in various traditional medicines and food products. The narrow and uniform particle size distribution in V. bracteatum Thunb leaves (VBTL) can be achieved through a new emerging type of foodstuff processing and superfine grinding. The VBTL powders were subjected to four particle sizes as followed: 300–125, 125–75, 75–40, and \40 lm. The VBTL powders were observed to be with smaller size and bulk density, greater surface area, tapped density and the angle of repose. Water solubility index, water holding capacity and total flavonoid extraction increased slightly with the decrease in particle size. Differential scanning calorimetry showed that the VBTL exhibiting particle size of \40 lm had the lowest peak temperature; whereas, powder with a particle size of 125–300 lm displayed the largest endothermic enthalpy. Our results of the properties of VBTL superfine powder supplied the basis for VBTL in potential industrial applications of foods.