Adaptive Cross-Layer Resource Optimization in Heterogeneous Wireless Networks with Multi-Homing User Equipments

Wu, Weihua,Yang, Qinghai,Li, Bingbing,Kwak, Kyung Sup The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5

In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.

sRNA EsrE Is Transcriptionally Regulated by the Ferric Uptake Regulator Fur in Escherichia coli

Bingbing Hou,Xichen Yang,Hui Xia,Haizhen Wu,Jiang Ye,Huizhan Zhang 한국미생물·생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.1

Small RNAs (sRNAs) are widespread and play major roles in regulation circuits in bacteria. Previously, we have demonstrated that transcription of esrE is under the control of its own promoter. However, the regulatory elements involved in EsrE sRNA expression are still unknown. In this study, we found that different cis-regulatory elements exist in the promoter region of esrE. We then screened and analyzed seven potential corresponding trans-regulatory elements by using pull-down assays based on DNA affinity chromatography. Among these candidate regulators, we investigated the relationship between the ferric uptake regulator (Fur) and the EsrE sRNA. Electrophoresis mobility shift assays (EMSAs) and β-galactosidase activity assays demonstrated that Fur can bind to the promoter region of esrE, and positively regulate EsrE sRNA expression in the presence of Fe2+.

Adaptive Cross-Layer Resource Optimization in Heterogeneous Wireless Networks with Multi-Homing User Equipments

Weihua Wu,Qinghai Yang,Bingbing Li,곽경섭 한국통신학회 2016 Journal of communications and networks Vol.18 No.5

In this paper, we investigate the resource allocation prob-lemin time-varying heterogeneous wireless networks (HetNet) withmulti-homing user equipments (UE). The stochastic optimizationmodel is employed tomaximize the network utility, which is definedas the difference between the HetNet’s throughput and the total en-ergy consumption cost. In harmony with the hierarchical architec-ture of HetNet, the problem of stochastic optimization of resourceallocation is decomposed into two subproblems by the Lyapunovoptimization theory, associated with the flow control in transportlayer and the power allocation in physical (PHY) layer, respec-tively. For avoiding the signaling overhead, outdated dynamic in-formation, and scalability issues, the distributed resource alloca-tion method is developed for solving the two subproblems based onthe primal-dual decomposition theory. After that, the adaptive re-source allocation algorithm is developed to accommodate the time-varying wireless network only according to the current networkstate information, i.e. the queue state information (QSI) at radioaccess networks (RAN) and the channel state information (CSI) ofRANs-UE links. The tradeoff between network utility and delay isderived, where the increase of delay is approximately linear in Vand the increase of network utility is at the speed of 1/V with acontrol parameter V . Extensive simulations are presented to showthe effectiveness of our proposed scheme.

Pancreatic regulation of glucose homeostasis

Pia V Röder,Bingbing Wu,Yixian Liu,Weiping Han 생화학분자생물학회 2016 Experimental and molecular medicine Vol.48 No.-

In order to ensure normal body function, the human body is dependent on a tight control of its blood glucose levels. This is accomplished by a highly sophisticated network of various hormones and neuropeptides released mainly from the brain, pancreas, liver, intestine as well as adipose and muscle tissue. Within this network, the pancreas represents a key player by secreting the blood sugar-lowering hormone insulin and its opponent glucagon. However, disturbances in the interplay of the hormones and peptides involved may lead to metabolic disorders such as type 2 diabetes mellitus (T2DM) whose prevalence, comorbidities and medical costs take on a dramatic scale. Therefore, it is of utmost importance to uncover and understand the mechanisms underlying the various interactions to improve existing anti-diabetic therapies and drugs on the one hand and to develop new therapeutic approaches on the other. This review summarizes the interplay of the pancreas with various other organs and tissues that maintain glucose homeostasis. Furthermore, anti-diabetic drugs and their impact on signaling pathways underlying the network will be discussed.

A fault diagnosis method using Interval coded deep belief network

Jiahui Tang,Jimei Wu,Bingbing Hu,Chang Guo,Jialing Zhang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.5

The rolling bearing, though a widely used component in rotating machinery, is also failure-prone. There are some difficulties in extracting valuable fault features from the vibration signal generated by the rolling bearing operation. Based on the interval coded deep belief network, an improved method for fault diagnosis is introduced to deal with the existing problems. Interval code is an encoding method to characterize fault features by using bearing vibration amplitude distribution. This method can also reduce the complexity of the original data and integrate input dimension. The deep belief network can remove the dependence from manual feature extraction and quickly extract the fault features from coding results. This proposed method is employed in the fault diagnosis experiments of rolling bearing to evaluate the performance. From the obtained experiment results, it can be concluded that the interval coded deep belief network boosts performance, which can eliminate the limitation of the input data dimension in the traditional deep learning model.

Ethanol Production by Repeated Batch and Continuous Fermentations by Saccharomyces cerevisiae Immobilized in a Fibrous Bed Bioreactor

( Yong Chen ),( Qingguo Liu ),( Tao Zhou ),( Bingbing Li ),( Shiwei Yao ),( An Li ),( Jing Lan Wu ),( Han Jie Ying ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.4

In this work, a fibrous bed bioreactor with high specific surface area and good adsorption efficacy for S. cerevisiae cells was used as the immobilization matrix in the production of ethanol. In batch fermentation, an optimal ethanol concentration of 91.36 g/l and productivity of 4.57 g l-1 h-1 were obtained at an initial sugar concentration of 200 g/l. The ethanol productivity achieved by the immobilized cells was 41.93% higher than that obtained from free cells. Ethanol production in a 22-cycle repeated batch fermentation demonstrated the enhanced stability of the immobilized yeast cells. Under continuous fermentation in packed-bed reactors, a maximum ethanol concentration of 108.14 g/l and a productivity of 14.71 g l-1 h-1 were attained at 35oC, and a dilution rate of 0.136 h-1 with 250 g/l glucose.

Prognostic Value of 18F-FDG PET/CT Radiomics in Extranodal Nasal-Type NK/T Cell Lymphoma

Luo Yu,Huang Zhun,Gao Zihan,Wang Bingbing,Zhang Yanwei,Bai Yan,Wu Qingxia,Wang Meiyun 대한영상의학회 2024 Korean Journal of Radiology Vol.25 No.2

Objective: To investigate the prognostic utility of radiomics features extracted from 18F-fluorodeoxyglucose (FDG) PET/CT combined with clinical factors and metabolic parameters in predicting progression-free survival (PFS) and overall survival (OS) in individuals diagnosed with extranodal nasal-type NK/T cell lymphoma (ENKTCL). Materials and Methods: A total of 126 adults with ENKTCL who underwent 18F-FDG PET/CT examination before treatment were retrospectively included and randomly divided into training (n = 88) and validation cohorts (n = 38) at a ratio of 7:3. Least absolute shrinkage and selection operation Cox regression analysis was used to select the best radiomics features and calculate each patient’s radiomics scores (RadPFS and RadOS). Kaplan–Meier curve and Log-rank test were used to compare survival between patient groups risk-stratified by the radiomics scores. Various models to predict PFS and OS were constructed, including clinical, metabolic, clinical + metabolic, and clinical + metabolic + radiomics models. The discriminative ability of each model was evaluated using Harrell’s C index. The performance of each model in predicting PFS and OS for 1-, 3-, and 5-years was evaluated using the time-dependent receiver operating characteristic (ROC) curve. Results: Kaplan–Meier curve analysis demonstrated that the radiomics scores effectively identified high- and low-risk patients (all P < 0.05). Multivariable Cox analysis showed that the Ann Arbor stage, maximum standardized uptake value (SUVmax), and RadPFS were independent risk factors associated with PFS. Further, β2-microglobulin, Eastern Cooperative Oncology Group performance status score, SUVmax, and RadOS were independent risk factors for OS. The clinical + metabolic + radiomics model exhibited the greatest discriminative ability for both PFS (Harrell’s C-index: 0.805 in the validation cohort) and OS (Harrell’s C-index: 0.833 in the validation cohort). The time-dependent ROC analysis indicated that the clinical + metabolic + radiomics model had the best predictive performance. Conclusion: The PET/CT-based clinical + metabolic + radiomics model can enhance prognostication among patients with ENKTCL and may be a non-invasive and efficient risk stratification tool for clinical practice.

Group Wisdom and Omnaural Perception : Discovering Frequency Differences by Averaging the Retrospective Time Estimates of Listeners

Clint Miller,Li Ying,Liang Yuanyuan,Zhang Jinhui,Wu Bingbing,Zhang Ying 보안공학연구지원센터 2014 International Journal of Bio-Science and Bio-Techn Vol.6 No.1