Energy Efficiency Analysis and Optimization of Multiantenna Heterogeneous Cellular Networks Modeled by Matérn Hard-core Point Process

( Yonghong Chen ),( Jie Yang ),( Xuehong Cao ),( Shibing Zhang ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8

The Poisson point process (PPP) is widely used in wireless network modeling and performance analysis because it can provide tractable results for heterogeneous cellular networks (HetNets) analysis. However, it cannot accurately reflect the spatial distribution characteristics of the actual base stations (BSs). Considering the fact that the distribution of macro base stations (MBSs) is exclusive, the deployment of MBSs is modeled by the Matérn hard-core point process (MHCPP), and the deployment of pico base stations (PBSs) is modeled by PPP. This paper studies the performance of multiantenna HetNets and improves the energy efficiency (EE) of HetNets by optimizing the transmit power of PBSs. We use a simple approximate method to study the signal-to-interference ratio (SIR) distribution in two-tier MHCPP-PPP HetNets and derive the coverage probability, average data rate and EE of HetNets. Then, an optimization algorithm is proposed to improve the EE of HetNets. Finally, three transmission technologies are simulated and analyzed. The results show that multiantenna transmission has better system performance than single antenna transmission and that selecting the appropriate transmit power for a PBS can effectively improve the EE of the system. In addition, two-tier MHCPP-PPP HetNets have higher EE than two-tier PPP-PPP HetNets.

STRONG CONVERGENCE OF A NEW ITERATIVE ALGORITHM FOR AVERAGED MAPPINGS IN HILBERT SPACES

Yonghong Yao,Haiyun Zhou,Rudong Chen 한국전산응용수학회 2010 Journal of applied mathematics & informatics Vol.28 No.3

Let H be a real Hilbert space. Let T : H → H be an averaged mapping with F(T ) ≠ 0. Let {αn} be a real numbers in (0, 1). For given x0 ∈ H, let the sequence {xn} be generated iteratively by [수식]Assume that the following control conditions hold:[수식]Then {xn} converges strongly to a fixed point of T.

Genome‑wide association analysis of salt tolerance QTLs with SNP markers in maize (Zea mays L.)

Yonghong Xie,Yan Feng,Qi Chen,Feike Zhao,Shuijuan Zhou,Ying Ding,Xianliang Song,Ping Li,Baohua Wang 한국유전학회 2019 Genes & Genomics Vol.41 No.10

Background Salt-tolerant breeding of maize has great significance to the development and utilization of saline–alkaline soil and the maintenance of grain security. Genome-wide association study (GWAS) has been widely used in maize genetics and breeding. Objective To discover new salt-tolerant genes in maize by association analysis, which can provide technical supports for the innovation and genetic improvement of salt-tolerant germplasm resources in maize. Methods Totally 150 maize inbred lines were genotyped with a high-density chip. GWAS was carried out to identify the significant single nucleotide polymorphisms (SNPs) which were associated with maize salt tolerance. Totally 34,972 SNPs with high quality and diversity were selected from 56,110 SNP markers, which were distributed on 10 chromosomes of maize. The GLM algorithm in TASSEL5.2 was used to analyze the five traits related to salt tolerance. Results Using a strict LOD threshold of 4.5, totally 7 SNP loci were identified, which were significantly correlated with plant height change rate and fresh weight change rate. The high density fingerprints of 150 inbred lines were clustered by TASSEL5.2 software to construct genetic clustering map to estimate the genetic distance and the subgroups. The 150 maize inbred lines were divided into two groups: SS group and NSS group, and the SNP loci of the salt-tolerant index showed difference in chromosome distribution. Based on previous studies, we screened 8 candidate genes for salt tolerance in maize and four of them were further validated by real-time quantitative PCR. Conclusion Totally 7 SNP loci and 8 candidate genes related to salt tolerance in maize were identified, which will be of special value in molecular breeding of salt-tolerant maize.

Robust multi-atlas label propagation by deep sparse representation

Zu, Chen,Wang, Zhengxia,Zhang, Daoqiang,Liang, Peipeng,Shi, Yonghong,Shen, Dinggang,Wu, Guorong Elsevier 2017 Pattern recognition Vol.63 No.-

<P><B>Abstract</B></P> <P>Recently, multi-atlas patch-based label fusion has achieved many successes in medical imaging area. The basic assumption in the current state-of-the-art approaches is that the image patch at the target image point can be represented by a patch dictionary consisting of atlas patches from registered atlas images. Therefore, the label at the target image point can be determined by fusing labels of atlas image patches with similar anatomical structures. However, such assumption on image patch representation does not always hold in label fusion since (1) the image content within the patch may be corrupted due to noise and artifact; and (2) the distribution of morphometric patterns among atlas patches might be unbalanced such that the majority patterns can dominate label fusion result over other minority patterns. The violation of the above basic assumptions could significantly undermine the label fusion accuracy. To overcome these issues, we first consider forming label-specific group for the atlas patches with the same label. Then, we alter the conventional <I>flat and shallow</I> dictionary to a deep multi-layer structure, where the top layer (<I>label-specific dictionaries</I>) consists of groups of representative atlas patches and the subsequent layers (<I>residual dictionaries</I>) hierarchically encode the patchwise residual information in different scales. Thus, the label fusion follows the representation consensus across representative dictionaries. However, the representation of target patch in each group is iteratively optimized by using the representative atlas patches in each label-specific dictionary exclusively to match the principal patterns and also using all residual patterns across groups collaboratively to overcome the issue that some groups might be absent of certain variation patterns presented in the target image patch. Promising segmentation results have been achieved in labeling hippocampus on ADNI dataset, as well as basal ganglia and brainstem structures, compared to other counterpart label fusion methods.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Develop a novel multi-atlas patch based label fusion method; </LI> <LI> Alter the conventional flat and shallow dictionary to a deep multi-layer structure; </LI> <LI> Obtain more accurate label fusion results than conventional state-of-the-art methods. </LI> </UL> </P>

Energy-Aware Hybrid Cooperative Relaying with Asymmetric Traffic

Jian Chen,Lu Lv,Wenjin Geng,Yonghong Kuo 한국전자통신연구원 2015 ETRI Journal Vol.37 No.4

In this paper, we study an asymmetric two-way relaying network where two source nodes intend to exchange information with the help of multiple relay nodes. A hybrid time-division broadcast relaying scheme with joint relay selection (RS) and power allocation (PA) is proposed to realize energy-efficient transmission. Our scheme is based on the asymmetric level of the two source nodes’ target signal-to-noise ratio indexes to minimize the total power consumed by the relay nodes. An optimization model with joint RS and PA is studied here to guarantee hybrid relaying transmissions. Next, with the aid of our proposed intelligent optimization algorithm, which combines a genetic algorithm and a simulated annealing algorithm, the formulated optimization model can be effectively solved. Theoretical analyses and numerical results verify that our proposed hybrid relaying scheme can substantially reduce the total power consumption of relays under a traffic asymmetric scenario; meanwhile, the proposed intelligent optimization algorithm can eventually converge to a better solution.

Effects of Huzhangoside C on Dextran Sodium Sulfate-Stimulated Colitis in Mice

Limin Chen,Yonghong Zhang,Jinhuang Shen,Ying Wu,Fan Cao,Hongying Hua,Xinhua Ma 한국식품영양과학회 2024 Journal of medicinal food Vol.27 No.1

Chronic inflammation is a major risk factor for cancer. Inflammatory bowel disease (IBD) is a chronicinflammatory disease of the gastrointestinal tract, ultimately leading to a breakdown of intestinal barrier function. Clematisflorida var. plena is a folk prescription used to treat inflammation and rheumatism in She pharmacy. The bioactivity of C. florida var. plena is primarily due to triterpene saponins. Huzhangoside C (HZ) is an active component of C. florida var. plena. In this study, the anti-inflammatory effect of HZ on a mouse colitis model induced by dextran sulfate sodium (DSS) wasinvestigated. Result indicated a notable reduction in body weight loss and colon length shortening in HZ-mediated micecompared to DSS-stimulated control mice. Furthermore, inflammatory signaling mechanisms involving interleukin-6 andtumor necrosis factor-a were suppressed in HZ-treated mice. HZ treatment significantly suppressed the expression of nuclearfactor kappa B (NF-jB), STAT3, and iNOS in colon tissue. After HZ treatment, malondialdehyde and nitric oxide levels weresignificantly decreased, while Nrf-2, superoxide dismutase, and glutathione expression levels were notably improved. Theresult indicated that HZ could activate the Nrf-2 signal cascade, inhibit the expression of NF-jB, eNOS, and STAT3, andenhance the intestinal barrier function of DSS stimulated ulcerative colitis intestinal injury. The results suggest that HZ ispotential anti-inflammatory agent for treating IBD.

Adaptive Cooperative Spectrum Sharing Based on Fairness and Total Profit in Cognitive Radio Networks

Jian Chen,Xiao Zhang,Yonghong Kuo 한국전자통신연구원 2010 ETRI Journal Vol.32 No.4

A cooperative model is presented to enable sharing of the spectrum with secondary users. Compared with the optimal model and competitive model, the cooperative model could reach the maximum total profit for secondary users with better fairness. The cooperative model is built based on the Nash equilibrium. Then a conceding factor is introduced so that the total spectrum required from secondary users will decrease. It also results in a decrease in cost which the primary user charges to the secondary users. The optimum solution, which is the maximum total profit for the secondary users, is called the collusion state. It is possible that secondary users may leave the collusion state to pursue the maximum of individual profit. The stability of the algorithm is discussed by introducing a vindictive factor to inhabit the motive of deviation. In practice, the number of secondary users may change. Adaptive methods have been used to deal with the changing number of secondary users. Both the total profit and fairness are considered in the spectrum allocating. The shared spectrum is 11.3893 with a total profit of 65.2378 in the competitive model. In the cooperative model, the shared spectrum is 8.5856 with the total profit of 73.4963. The numerical results reveal the effectiveness of the cooperative model.

Morphological Characteristics of Normal and Gynandromorphic Hyalomma asiaticum Schulze and Schlottke, 1930

Ze Chen,You-quan Li,Qiao-Yun Ren,Jin Luo,Yonghong Hu,Kai Li,Guang-Yuan Liu,Jian-xun Luo,Jingze Liu,Hong Yin 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.3

Gynandromorphic ticks are extremely rare, and often attract parasitologists’ attention. During our examination of tick specimens, an engorged gynandromorph of Hyalomma asiaticum was noticed. This is the first record of gynandromorphic ticks from China. In this study, several important morphological structures of normal and gynandromorphic H. asiaticum were analyzed. Comparing to the normal H. asiaticum, the gynandromorphic specimen was a typical bipartite protogynander. Its right side showed normal female characteristics, whereas the left side had normal male traits. Different from other gynandromorphic ticks containing 1 anus, this tick reported here had 2 complete anuses, and the anus of the male part had a single adanal plate.

STRONG CONVERGENCE OF A NEW ITERATIVE ALGORITHM FOR AVERAGED MAPPINGS IN HILBERT SPACES

Yao, Yonghong,Zhou, Haiyun,Chen, Rudong The Korean Society for Computational and Applied M 2010 Journal of applied mathematics & informatics Vol.28 No.3

Let H be a real Hilbert space. Let T : $H\;{\rightarrow}\;H$ be an averaged mapping with $F(T)\;{\neq}\;{\emptyset}$. Let {$\alpha_n$} be a real numbers in (0, 1). For given $x_0\;{\in}\;H$, let the sequence {$x_n$} be generated iteratively by $x_{n+1}\;=\;(1\;-\;{\alpha}_n)Tx_n$, $n\;{\geq}\;0$. Assume that the following control conditions hold: (i) $lim_{n{\rightarrow}{\infty}}\;{\alpha}_n\;=\;0$; (ii) $\sum^{\infty}_{n=0}\;{\alpha}_n\;=\;{\infty}$. Then {$x_n$} converges strongly to a fixed point of T.

Preparation of Silica Nanoparticles via Two-Step Process Utilizing Mixed Chlorosilane Residues

Su, Yonghong,Xu, Bugang,Cai, Jixiang,Chen, Liang,Huang, Bing The Korean Ceramic Society 2018 한국세라믹학회지 Vol.55 No.6

We propose an economic and facile method for the preparation of silica nanoparticles through a two-step process utilizing chlorosilane residues. Mixed chlorosilane residue was alcoholized with absolute ethanol as a first step to form tetraethoxysilane (TEOS). The TEOS was then utilized as a silicon source to synthesize silica nanoparticles in a sol-gel method. The alcoholysis process was designed and optimized utilizing the Taguchi experimental design method and the yield of TEOS was as high as 82.2% under optimal synthetic conditions. Similarly, the Taguchi method was also utilized to study the effects of synthesis factors on the particle size of silica nanoparticles. The results of statistical analysis indicate that the concentration of ammonia has a greater influence on particle size compared to the mass fractions of TEOS and polyethylene glycol (4.6% and 9.7%). The purity of the silica particles synthesized in our experiments is high, but the specific surface area and pore volume are small.