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  1. 7301

    A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy by Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, Jiyang Liu

    Published 2018-01-01
    “…Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. …”
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  2. 7302

    Research on network risk assessment based on attack graph of expected benefits-rate by Wenfu LIU, Jianmin PANG, Xin ZHOU, Nan LI, Feng YUE

    Published 2022-08-01
    “…As Internet applications and services become more and more extensive, the endless network attacks lead to great risks and challenges to the security of information systems.As a model-based network security risk analysis technology, attack graph is helpful to find the vulnerability between network nodes and the harm of being attacked.It has been proved to be an effective method to find and prevent network security risks.Attack graph is mainly divided into state-based attack graph and attribute-based attack graph.Due to the problem of state explosion in state-based attack graph, most researchers prefer the attribute-based attack graph for network risk assessment.In view of the existing researches on attribute-based attack graph, they excessively rely on the vulnerability of network nodes and the essential attributes of atomic attack.However, they ignore that rational attackers usually choose specific attack paths by maximizing attack benefits.Then, a network risk assessment framework and a quantification method of attack benefits-rate based on expected benefits-rate attack graph were proposed.The network risk assessment framework took the open vulnerability resource database, the new vulnerabilities found by the vulnerability mining system and the big data related to network attack and defense as the basic data source.The network risk assessment framework also took the open source big data platform as the analysis tool to mine and calculate the elements related to attack cost and attack benefit.Using the concepts of cost, benefit and benefit-rate in economics, the calculation model of expected benefit-rate of atomic attack was constructed.By constructing the attribute-based attack graph of the target network, the expected benefit-rate of atomic attack on the attack path was calculated, and the expected benefit-rate list of all possible attack paths was generated.Furthermore, taking the expected goal as the starting point, the search was carried out according to the specific optimization strategy (backtracking method, greedy algorithm, dynamic programming).And the complete attack path with the maximum benefit-rate was obtained, which provided the basis for network risk assessment.The simulation results show the effectiveness and rationality of the proposed expected benefit-rate attack graph network risk assessment method, which can provide support for discovering and preventing network security problems.…”
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  3. 7303

    Offshore evidence for volcanic landslide post Last Glacial Maximum at sub-Antarctic Heard Island, southern Indian Ocean by Jodi M. Fox, Sally J. Watson, Trevor J. Falloon, Rebecca J. Carey, Joanne M. Whittaker, Erica A. Spain, Robert A. Duncan, Richard J. Arculus, Millard F. Coffin

    Published 2025-01-01
    “…The amphitheatre shaped summit of the active volcanic centre, Big Ben (2813 m), has been interpreted to be the product of a significant volcanic landslide. …”
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  4. 7304

    Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data by Caixia Liu, Huabing Huang, Zhiyu Zhang, Wenyi Fan, Di Wu

    Published 2024-12-01
    “…These results show that GF-7 has considerable application potential in gathering large-scale high-precision forest aboveground biomass using a restricted amount of field data.…”
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  5. 7305

    Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

    Published 2022-01-01
    “…Forecasting blood glucose (BG) values for patients can help prevent hypoglycemia and hyperglycemia events in advance. …”
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  6. 7306

    Medyalararası Gündem Belirleme Çalışmalarında R Stüdyo Kullanımı: Rozelle-Campbell Taban Hizası ile Çapraz Gecikmeli Korelasyonun Bilişimleştirilmesi by Özlem Alikılıç, İnanç Alikılıç

    Published 2020-06-01
    “…Researchers using intermedia agenda-setting theory have also affected this trend by conducting studies using big data and social media data. The Rozelle-Campbell formula is widely used by such researchers to investigate media effects and their direction. …”
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  7. 7307

    The Effect of the Gap Spark Plug Electrode to The Performance of Motorcycle GL 200 D by Riza Muharni, Ade Ari Agasi, Muchlisinalahuddin Muchlisinalahuddin, Dytchia Septi Kesuma, Ade Usra Berli

    Published 2022-10-01
    “…<p>The spark plug electrode gap is a narrow distance between the center of electrode and the mass of electrode.  This gap has a very big influence on the performance of the gasoline motor. …”
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