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FINITE GROUPS WITH A CYCLIC NORM QUOTIENT
Wang, Junxin Korean Mathematical Society 2016 대한수학회보 Vol.53 No.2
The norm N(G) of a group G is the intersection of the normalizers of all the subgroups of G. In this paper, the structure of finite groups with a cyclic norm quotient is determined. As an application of the result, an interesting characteristic of cyclic groups is given, which asserts that a finite group G is cyclic if and only if Aut(G)/P(G) is cyclic, where P(G) is the power automorphism group of G.
Finite groups with a cyclic norm quotient
Junxin Wang 대한수학회 2016 대한수학회보 Vol.53 No.2
The norm $N(G)$ of a group $G$ is the intersection of the normalizers of all the subgroups of $G$. In this paper, the structure of finite groups with a cyclic norm quotient is determined. As an application of the result, an interesting characteristic of cyclic groups is given, which asserts that a finite group $G$ is cyclic if and only if ${\rm Aut}(G)/P(G)$ is cyclic, where $P(G)$ is the power automorphism group of $G$.
Finite groups all of whose maximal subgroups are SB-groups
Pengfei Guo,Junxin Wang,Hailiang Zhang 대한수학회 2014 대한수학회보 Vol.51 No.4
A finite group G is called a SB-group if every subgroup of G is either s-quasinormal or abnormal in G. In this paper, we give a complete classification of those groups which are not SB-groups but all of whose proper subgroups are SB-groups.
FINITE GROUPS ALL OF WHOSE MAXIMAL SUBGROUPS ARE SB-GROUPS
Guo, Pengfei,Wang, Junxin,Zhang, Hailiang Korean Mathematical Society 2014 대한수학회보 Vol.51 No.4
A finite group G is called a SB-group if every subgroup of G is either s-quasinormal or abnormal in G. In this paper, we give a complete classification of those groups which are not SB-groups but all of whose proper subgroups are SB-groups.
曹翠珍(Cao Cuizhen),王俊新(Wang Junxin) 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.9
The scientific and reasonable network is the basis for the emergency logistics to bring into effect rapidly, and this has strong economic and social benefits. In this paper, based on the core idea of adaptive supply chain, we first give the concept of adaptive supply network model, and establish an emergency logistics network system, the operation of which is divided into 4 different stages. Then, for each stage, we analyze the change trend of the purposes which the emergency logistics pursuits, and introduce the coefficients of penalty functions in order to balance the timeliness, economy and risk. Finally, we construct a network optimization model for emergency logistics, which will provide a decision-making program for the smooth, timely and secure delivery of emergency supplies.
Pengfei Bai,Xiuyun Guo,Junxin Wang 대한수학회 2018 대한수학회보 Vol.55 No.6
In this paper, finite $p$-groups $G$ satisfying $N_G(H)\leq H^G$ for every non-normal subgroup $H$ of $G$ are completely classified. This solves a problem proposed by Y. Berkovich.
Bai, Pengfei,Guo, Xiuyun,Wang, Junxin Korean Mathematical Society 2018 대한수학회보 Vol.55 No.6
In this paper, finite p-groups G satisfying $N_G(H){\leq}H^G$ for every non-normal subgroup H of G are completely classified. This solves a problem proposed by Y. Berkovich.
LIU QIAN,Zhang Zhiyao,GUO PENG,WANG YIFAN,Liang Junxin 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1
Predicting the remaining useful life (RUL) of the aircraft engine based on historical data plays a pivotal role in formulating maintenance strategies and mitigating the risk of critical failures. None the less, attaining precise RUL predictions often encounters challenges due to the scarcity of historical condition monitoring data. This paper introduces a multiscale deep transfer learning framework via integrating domain adaptation principles. The framework encompasses three integral components: a feature extraction module, an encoding module, and an RUL prediction module. During pre-training phase, the framework leverages a multiscale convolutional neural network to extract distinctive features from data across varying scales. The ensuing parameter transfer adopts a domain adaptation strategy centered around maximum mean discrepancy. This method efficiently facilitates the acquisition of domain-invariant features from the source and target domains. The refined domain adaptation Transformer-based multiscale convolutional neural network model exhibits enhanced suitability for predicting RUL in the target domain under the condition of limited samples. Experiments on the C-MAPSS dataset have shown that the proposed method significantly outperforms state-of-the-art methods.
Wind-induced vibrations and suppression measures of the Hong Kong-Zhuhai-Macao Bridge
Cunming Ma,Zhiguo Li,Fanchao Meng,Haili Liao,Junxin Wang 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.32 No.3
A series of wind tunnel tests, including 1:50 sectional model tests, 1:50 free-standing bridge tower tests and 1:70 full-bridge aeroelastic model tests were carried out to systematically investigate the aerodynamic performance of the Hong Kong-Zhuhai-Macao Bridge (HZMB). The test result indicates that there are three wind-resistant safety issues the HZMB encounters, including unacceptable low flutter critical wind speed, vertical vortex-induced vibration (VIV) of the main girder and galloping of the bridge tower in across-wind direction. Wind-induced vibration of HZMB can be effectively suppressed by the application of aerodynamic and mechanical measures. Acceptable flutter critical wind speed is achieved by optimizing the main girder form (before: large cantilever steel box girder, after: streamlined steel box girder) and cable type (before: central cable, after: double cable); The installations of wind fairing, guide plates and increasing structural damping are proved to be useful in suppressing the VIV of the HZMB; The galloping can be effectively suppressed by optimizing the interior angle on the windward side of the bridge tower. The present works provide scientific basis and guidance for wind resistance design of the HZMB.