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Reducing neighbor discovery latency in docking applications Research Articles

Shuai-zhao JIN, Zi-xiao WANG, Ya-bo DONG, Dong-ming LU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1147-1164 doi: 10.1631/FITEE.1800412

Abstract: Neighbor discovery is important for docking applications, where mobile nodes communicate with staticAmong the existing neighbor discovery protocols, the probabilistic methods perform well in average caseswhich is a new synchronization technique that can improve the average-case performance of deterministic neighborWe show that MASS can reduce the average discovery latency of state-of-the-art deterministic neighbordiscovery protocols by up to two orders of magnitude.

Keywords： Neighbor discovery Docking applications Slot index synchronization Mobility-assisted slot index synchronization

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Anonymous-address-resolution model Article

Guang-jia SONG,Zhen-zhou JI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10, Pages 1044-1055 doi: 10.1631/FITEE.1500382

Abstract: Traditional ARPs (address-resolution and neighbor-discovery protocols) do not consider the existenceexperiments show that AS-AR has a higher security level than existing security methods, such as secure-neighbordiscovery.

Keywords： Network security Address resolution Neighbor discovery Anonymous

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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 qualities

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

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An algorithm of neighbor relationship oriented contour tree building

Guo Peipei,Li Chengming,Yin Yong

Strategic Study of CAE 2013, Volume 15, Issue 5, Pages 42-46

Abstract:

A contour tree has been found many important applications in extraction of terrain structure lines, terrain analysis, etc. A regular contour tree expressing the spatial relationship of contours is difficult to build, even with data of high quality. A new method is proposed in this paper： classify contours into close group and open group; build contour tree for each group respectively; finally amalgamate these two contour trees into one. With the elevation values, spatial relationship of contours is of easy accessibility. The result shows that the above mentioned method is correct and effective.

Keywords： contour tree neighbor relationship elevation value close contour unclosed contour

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HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 150-154 doi: 10.15302/J-FASE-2021419

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Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 317-332 doi: 10.1007/s11708-013-0271-9

Abstract: As the basis of modern industry, the roles materials play are becoming increasingly vital in this day and age. With many superior physical properties over conventional fluids, the low melting point liquid metal material, especially room-temperature liquid metal, is recently found to be uniquely useful in a wide variety of emerging areas from energy, electronics to medical sciences. However, with the coming enormous utilization of such materials, serious issues also arise which urgently need to be addressed. A biggest concern to impede the large scale application of room-temperature liquid metal technologies is that there is currently a strong shortage of the materials and species available to meet the tough requirements such as cost, melting point, electrical and thermal conductivity, etc. Inspired by the Material Genome Initiative as issued in 2011 by the United States of America, a more specific and focused project initiative was proposed in this paper—the liquid metal material genome aimed to discover advanced new functional alloys with low melting point so as to fulfill various increasing needs. The basic schemes and road map for this new research program, which is expected to have a worldwide significance, were outlined. The theoretical strategies and experimental methods in the research and development of liquid metal material genome were introduced. Particularly, the calculation of phase diagram (CALPHAD) approach as a highly effective way for material design was discussed. Further, the first-principles (FP) calculation was suggested to combine with the statistical thermodynamics to calculate the thermodynamic functions so as to enrich the CALPHAD database of liquid metals. When the experimental data are too scarce to perform a regular treatment, the combination of FP calculation, cluster variation method (CVM) or molecular dynamics (MD), and CALPHAD, referred to as the mixed FP-CVM-CALPHAD method can be a promising way to solve the problem. Except for the theoretical strategies, several parallel processing experimental methods were also analyzed, which can help improve the efficiency of finding new liquid metal materials and reducing the cost. The liquid metal material genome proposal as initiated in this paper will accelerate the process of finding and utilization of new functional materials.

Keywords： liquid metal material genome energy material material discovery advanced material room-temperature liquid

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An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Frontiers in Energy 2020, Volume 14, Issue 4, Pages 726-739 doi: 10.1007/s11708-020-0701-4

Abstract: reflect the average price level and market movements, but the market information transparency and price discovery

Keywords： liquefied natural gas price index Shanghai Petroleum and Gas Exchange price discovery market reforms

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New Technology promotes the Discovery of the Tarim Natural Gas Province

Qiu Zhongjian

Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 38-41

Abstract: The discovery is a catalyst for the commencement of the project to transmit natural gas from the Tarim

Keywords： key technology innovation discovery Tarim gas province

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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: an essential task for decision-making activities such as classification, prediction, and knowledge discoveryA time series is represented by trend symbols, which are also suitable for use in knowledge discoverybetter segmentation efficiency and classification accuracy, but also is applicable for use in knowledge discovery

Keywords： Long time series Segmentation Trend features Symbolic Knowledge discovery

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Facile discovery of red blood cell deformation and compromised membrane/skeleton assembly in Prader–Willi

Frontiers of Medicine 2022, Volume 16, Issue 6, Pages 946-956 doi: 10.1007/s11684-022-0962-x

Abstract: Prader–Willi syndrome (PWS) is a rare congenital disease with genetic alterations in chromosome 15. Although genetic disorders and DNA methylation abnormalities involved in PWS have been investigated to a significant degree, other anomalies such as those in erythrocytes may occur and these have not been clearly elucidated. In the present study, we uncovered slight anemia in children with PWS that was associated with increased red blood cell (RBC) distribution width (RDW) and contrarily reduced hematocrit (HCT) values. Intriguingly, the increased ratio in RDW to HCT allowed sufficient differentiation between the PWS patients from the healthy controls and, importantly, with individuals exhibiting conventional obesity. Further morphologic examinations revealed a significant deformity in erythrocytes and mild hemolysis in PWS patients. Comprehensive mechanistic investigations unveiled compromised membrane skeletal assembly and membrane lipid composition, and revealed a reduced F-actin/G-actin ratio in PWS patients. We ascribed these phenotypic changes in erythrocytes to the observed genetic defects, including DNA methylation abnormalities. Our collective data allowed us to uncover RBC deformation in children with PWS, and this may constitute an auxiliary indicator of PWS in early childhood.

Keywords： Prader–Willi syndrome early diagnosis erythrocyte deformation membrane skeleton membrane lipid

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Discovery and repurposing of artemisinin

Frontiers of Medicine 2022, Volume 16, Issue 1, Pages 1-9 doi: 10.1007/s11684-021-0898-6

Abstract: The discovery of artemisinin, inspired by traditional Chinese medicine (TCM), has brought in a paradigmHere, we will first review the initial discovery of artemisinin, an extraordinary journey that was in

Keywords： artemisinin drug repurposing cancer inflammation COVID-19 traditional Chinese medicine

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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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Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 26-34

Abstract: with full historical materials, that Li Siguang made irreplaceable contribution to China's big discovery

Keywords： Li Siguang China's oil resource China's big discovery and development of petroleum

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Discovery for New Herbicide Sites of Action by Quantification of plant Primary Metabolite and Enzyme Perspective

Franck E. Dayan, Stephen O. Duke

Engineering 2020, Volume 6, Issue 5, Pages 509-514 doi: 10.1016/j.eng.2020.03.004

Abstract: Two untried strategies for the discovery on new herbicide SOAs are discussed.Targeting SOAs that result in accumulation of phytotoxic compounds is the first novel approach to herbicide discoveryModern proteomic methods can identify low enzyme level SOAs for biorational herbicide discovery.These approaches might be useful in discovery of herbicides more closely related to natural compounds

Keywords： Natural products Biorational discovery Mode of action Herbicide

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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9, Pages 47-53

Abstract: Multi-relational frequent pattern discovery approaches directly look for frequent patterns that involveWhile the state-of-the-art of multi-relational frequent pattern discovery approaches is based on theprogramming techniques, we propose an approach to semantically condensed multi-relational frequent pattern discovery, function, efficiency and scalability of the state-of-the-art of multi-relational frequent pattern discovery

Keywords： multi-relational data mining frequent pattern discovery conjunctive query condensed pattern