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Multi-color space threshold segmentation and self-learning <i>ki>-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning <i>ki>-nearest neighbor algorithm(<i>ki>-NN) for equipment under test status identification was proposed after using feature matchingki>-NN algorithm with training set <i>Ti><i>zi> according to the feature vectorThe training set <i>Ti><i>zi> increased to <i>Ti><i>zi>algorithm

Keywords： multi-color space     <i>ki>-nearest neighbor algorithm (<i>ki>-NN)     self-learning     surge test    

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A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: The classification algorithm performs cropping and image pyramid reduction of the - trajectory plottemplate images before utilizing the principal component analysis (PCA) and the -nearest neighbor (-NN) algorithm.contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearestneighbor, in the -NN algorithm to be effective in classification of electrical appliances.

Keywords： load disaggregation     voltage-current (<i>Vi>-<i>Ii>) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     <i>ki>-nearest neighbor (<i>ki>-NN)    

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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesThe search range and approach for determining the number of nearest neighbors (NNs) under dry and wetOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

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Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 81-84

Abstract: the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering algorithm

Keywords： fuzzy pattern recognition     nearest neighbor(NN)     cooperative clustering algorithm(CCA)     slurry concentration    

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Removal of elemental mercury by KI-impregnated clay

Boxiong SHEN,Jianhong CHEN,Ji CAI

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 236-243 doi: 10.1007/s11783-014-0765-7

Abstract: This study described the use of clay impregnated by KI in gas phase elemental mercury (Hg ) removal inThe effects of KI loading, temperature, O , SO and H O on Hg removal were investigated using a fixedThe Hg removal efficiency of KI-clay with 3% KI loading could maintain at a high level (approximatelyO was demonstrated to assist the transfer of KI to I on the surface of KI-clay, which could react withsurface of the KI-clay.

Keywords： clay     elemental mercury     removal efficiency     potassium iodide     mechanism    

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Towards a respondent-preferred ki-anonymity model

Kok-Seng WONG,Myung Ho KIM

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 720-731 doi: 10.1631/FITEE.1400395

Abstract: Furthermore, we note that the level of anonymity (i.e., -anonymity) guaranteed by an agency cannot be

Keywords： Anonymous data collection     Respondent-preferred privacy protection     k-anonymity    

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Advances in Soft Materials for Sustainable Electronics Review

Moon Jong Han, Dong Ki Yoon

Engineering 2021, Volume 7, Issue 5,   Pages 564-580 doi: 10.1016/j.eng.2021.02.010

Abstract:

In the current shift from conventional fossil-fuel-based materials to renewable energy, ecofriendly materials have attracted extensive research interest due to their sustainability and biodegradable properties. The integration of sustainable materials in electronics provides industrial benefits from wasted bio-origin resources and preserves the environment. This review covers the use of sustainable materials as components in organic electronics, such as substrates, insulators, semiconductors, and conductors. We hope this review will stimulate interest in the potential and practical applications of sustainable materials for green and sustainable industry.

Keywords： Sustainable     Biodegradable     Soft materials     Organic electronics    

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Optimum design of a channel roughened by dimples to improve cooling performance

Abdus SAMAD, Ki-Don LEE, Kwang-Yong KIM, Jin-Hyuk KIM,

Frontiers in Energy 2010, Volume 4, Issue 2,   Pages 262-268 doi: 10.1007/s11708-010-0012-2

Abstract: objective and polynomial response surface approximation (RSA) coupling with a gradient based search algorithm

Keywords： Staggered     three-dimensional Reynolds-averaged     multi-objective optimization     reference     transfer    

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Performance analysis of the stop-and-wait automatic repeat request protocol under Markovian interruptions Regular Papers-Research Articles

Dashdondov KHONGORZUL, Yong-Ki KIM, Mi-Hye KIM

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1296-1306 doi: 10.1631/FITEE.1700185

Abstract: The performance of an integrated packet voice/data multiplexer using a stop-and-wait (SW) automatic repeat request (ARQ) protocol is discussed. We assume that the input for the data traffic is exponentially distributed in increments via the Poisson process, with each data packet transmitted within an individual slot time. Another assumption is that there is only a single voice signal, which has a higher priority over the data packet, and whose traffic is given via an on-off Markov process. Whenever the voice signal is active, the output link is used and will be blocked for the data packet. We introduce the concept of buffer occupancy to simplify the analysis, and discover that data multiplexers using the SW ARQ protocol exhibit a behavior of queueing delay and buffering when the interruption signal is given via a Markov process. Simulation results verify the validity of the analytical results.

Keywords： Stop-and-wait ARQ protocol     Markovian interruptions     Poisson distribution     Buffer occupancy     Waiting time    

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Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable Research Articles

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 260-267 doi: 10.1631/FITEE.1900312

Abstract: The central thought in this paper is that switching behavior also has good stabilization; i.e., the SBN

Keywords： Aperiodic sampled-data control     Boolean control networks     Unstable subsystem     Discretized Lyapunov function     Dwell time    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract: Over the past decade, quantization-based approximate nearest neighbor (ANN) search has been developing

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensing

Keywords： Block compressive sensing     Sparsity adaptive matching pursuit     Greedy algorithm     Wilkinson matrix    

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Analysis of 100 consecutive cases of resectable pancreatic neuroendocrine neoplasms: clinicopathological characteristics and long-term outcomes

Yugang Cheng,Hanxiang Zhan,Lei Wang,Jianwei Xu,Guangyong Zhang,Zongli Zhang,Sanyuan Hu

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 444-450 doi: 10.1007/s11684-016-0471-x

Abstract: The percentages of TNM stages I, II, III, and IV tumors were 89.0%, 8.0%, 0.0%, and 3.0%, respectivelywith insulinoma, non-functional pNENs have larger tumor sizes, more advanced TNM staging, a higher Ki-67 index, and a higher rate of liver metastasis (<i>Pi><0.05).

Keywords： pancreatic neuroendocrine neoplasms     clinicopathological characteristic     Ki-67     liver metastasis     outcomes    

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Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysis. classification method is confirmed by Japan Highway Public Corporation that this method can figure out either strength or deformability of rock mass, further appropriating the amount of rock bolts, thickness of shotcrete, and size of pitch of steel ribs just after the blasting procedure. Based on these advantages of method, in this study, according to data of five deep and long tunnels in Iran, two equations for estimating the value of method from and classification systems were developed. These equations as a new method were able to optimize the support system for and classification systems. From classification and its application in these case studies, it is pointed out that the method for the design of support systems in underground working is more reliable than the and classification systems.

Keywords： <i>JHi> classification     <i>Qi> and <i>RMRi> classification     new method    

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The Potential Role of Powdery Mildew-Resistance Gene <i>Pm40i> in Chinese Wheat-Breeding Programs inthe Post-<i>Pm21i> Era Perspective

Shengwen Tang,Yuting Hu,Shengfu Zhong,Peigao Luo

Engineering 2018, Volume 4, Issue 4,   Pages 500-506 doi: 10.1016/j.eng.2018.06.004

Abstract:

Powdery mildew, which is caused by Blumeria graminis f. sp. tritici (Bgt), is an important leaf disease that affects wheat yield. Powdery mildew-resistance (Pm) gene Pm21 was first transferred into wheat in the 1980s, by translocating the Heuchera villosa chromosome arm 6VS to the wheat chromosome arm 6AL (6VS·6AL). Recently, new Bgt isolates that are virulent to Pm21 have been identified in some wheat fields, indicating that wheat breeders should be aware of the risk of deploying Pm21, although pathological details regarding these virulent isolates still remain to be discovered. Pm40 was identified and mapped on the wheat chromosome arm 7BS from several wheat lines developed from the progenies of a wild cross between wheat and Thinopyrum intermedium. Pm40 offers a broad spectrum of resistance to Bgt, which suggests that it is likely to provide potentially durable resistance. Cytological methods did not detect any large alien chromosomal segment in the wheat lines carrying Pm40. Lines with Pm40 and promising agronomical traits have been released by several wheat-breeding programs in the past several years. Therefore, we believe that Pm40 will play a role in powdery mildew-resistance wheat breeding after Pm21 resistance is overcome by Bgt isolates. In addition, both Pm21 and Pm40 were derived from alien species, suggesting that the resistance genes derived from alien species are potentially more durable or effective than those identified from wheat.

Keywords： Wheat     Powdery mildew     <i>Pm21i>     <i>Pm40i>     Alien species     Native resistance    

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Title Author Date Type Operation

Multi-color space threshold segmentation and self-learning <i>ki>-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Journal Article

Removal of elemental mercury by KI-impregnated clay

Boxiong SHEN,Jianhong CHEN,Ji CAI

Journal Article

Towards a respondent-preferred ki-anonymity model

Kok-Seng WONG,Myung Ho KIM

Journal Article

Advances in Soft Materials for Sustainable Electronics

Moon Jong Han, Dong Ki Yoon

Journal Article

Optimum design of a channel roughened by dimples to improve cooling performance

Abdus SAMAD, Ki-Don LEE, Kwang-Yong KIM, Jin-Hyuk KIM,

Journal Article

Performance analysis of the stop-and-wait automatic repeat request protocol under Markovian interruptions

Dashdondov KHONGORZUL, Yong-Ki KIM, Mi-Hye KIM

Journal Article

Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Journal Article

Analysis of 100 consecutive cases of resectable pancreatic neuroendocrine neoplasms: clinicopathological characteristics and long-term outcomes

Yugang Cheng,Hanxiang Zhan,Lei Wang,Jianwei Xu,Guangyong Zhang,Zongli Zhang,Sanyuan Hu

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

The Potential Role of Powdery Mildew-Resistance Gene <i>Pm40i> in Chinese Wheat-Breeding Programs inthe Post-<i>Pm21i> Era

Shengwen Tang,Yuting Hu,Shengfu Zhong,Peigao Luo

Journal Article