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Modeling and Comprehensive Review of Signaling Storms in 3GPP-Based Mobile Broadband Networks:Causes,Solutions,and Countermeasures

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 123-153页

作者： Muhammad Qasim Khan Fazal Malik Fahad Alturise Noor rahman Department of Computer Science Iqra National UniversityPeshawar25000Pakistan Department of Cybersecurity College of ComputerQassim UniversityBuraydah52555Saudi Arabia Department of Computer Science and Engineering Al-Fayha CollegeAl Jubayl31961Saudi Arabia

Control signaling is mandatory for the operation and management of all types of communication networks,including the Third Generation Partnership Project(3GPP)mobile broadband ***,they consume important and scarce network resources such as bandwidth and processing *** have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial *** paper draws its motivation from such real network disaster incidents attributed to signaling *** this paper,we present a thorough survey of the causes,of the signaling storm problems in 3GPP-based mobile broadband networks and discuss in detail their possible solutions and *** provide relevant analytical models to help quantify the effect of the potential causes and benefits of their corresponding *** important contribution of this paper is the comparison of the possible causes and solutions/countermeasures,concerning their effect on several important network aspects such as architecture,additional signaling,fidelity,etc.,in the form of a *** paper presents an update and an extension of our earlier conference *** our knowledge,no similar survey study exists on the subject.

关键词： Signaling storm problems control signaling load analytical modeling 3GPP networks smart devices diameter signaling mobile broadband data access data traffic mobility management signaling network architecture 5G mobile communication

Global Piecewise Analysis of HIV Model with Bi-Infectious Categories under Ordinary Derivative and Non-Singular Operator with Neural Network Approach

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 609-633页

作者： Ghaliah Alhamzi Badr Saad TAlkahtani Ravi Shanker Dubey Mati ur rahman Department of Mathematics and Statistics College of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh13318Saudi Arabia Department of Mathematics College of ScienceKing Saud UniversityRiyadh11989Saudi Arabia Department of Mathematics Amity School of Applied SciencesAmity University RajasthanJaipur302002India School of Mathematical Sciences Jiangsu UniversityZhenjiang212013China Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon

This study directs the discussion of HIV disease with a novel kind of complex dynamical generalized and piecewise operator in the sense of classical and Atangana Baleanu(AB)derivatives having arbitrary *** HIV infection model has a susceptible class,a recovered class,along with a case of infection divided into three sub-different levels or categories and the recovered *** total time interval is converted into two,which are further investigated for ordinary and fractional order operators of the AB derivative,*** proposed model is tested separately for unique solutions and existence on bi *** numerical solution of the proposed model is treated by the piece-wise numerical iterative scheme of Newtons *** proposed method is established for piece-wise derivatives under natural order and non-singular Mittag-Leffler *** cross-over or bending characteristics in the dynamical system of HIV are easily examined by the aspect of this research having a memory effect for controlling the said *** study uses the neural network(NN)technique to obtain a better set of weights with low residual errors,and the epochs number is considered *** obtained figures represent the approximate solution and absolute error which are tested with NN to train the data accurately.

关键词： HIV infection model qualitative scheme approximate solution piecewise global operator neural network

Capturing transition and non-transition flows with a new shear stress transport model

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Chinese Journal of Aeronautics 2023年第3期36卷 121-136页

作者： Md Mizanur rahman School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018China

A new Shear Stress Transport(SST)k-ω model is devised to integrate salient features of both the non-transitional SST k-ω model and correlation-based γ-Re_(θ) transition *** exceptionally simplified approach is applied to extend the New SST(NSST)model capabilities toward transition/non-transition ***’s stress-intensity factor R_(b)=|-uv|/k can be parameterized with the wall-distance dependent Reynolds number Re_(y)=√ky/v;however,as the Re_(y)is replaced by a“flow-structure-adaptive”parameter R_(μ)=v_(T)/v,the resulting R_(b)is capable of capturing various transition phenomena *** prospective stress-intensity parameter R_(b)=R_(b)(Re_(y),R_(μ))is incorporated in the constitutive relations for eddy-viscosity v_(T) and production term P_(k).The proposed formulation is intrinsically plausible,having a dramatic impact on the prediction of bypass,separation-induced and natural transitions together with non-transitional *** extra viscous-production term P_(k)^(lim) is added with the k-equation to ensure proper generation of k at the viscous sublayer when computing separation-induced transition over a Low-Reynolds Number(LRN)*** demonstrate that the NSST k-ω model maintains an excellent consistency with both SST k-ω and γ-Re_(θ) models.

关键词： γ-Re_(θ)model Non-transition Stress-intensity parameter SST model Transition

Fluvial reservoir characterization through channel belt dimension and petrophysical analysis

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Petroleum Science 2023年第2期20卷 787-802页

作者： Shakhawat Hossain Tahmidur rahman Junayed Naymur rahman Department of Geology University of DhakaDhaka1000Bangladesh

The dimensions and connectivity of fluvial reservoirs vary greatly, making it challenging to characterize them using conventional approaches. In this study integrated channel belt dimension analysis from seismic geomorphology and empirical equations, well log facies, and petrophysical analysis were performed to characterize the fluvial reservoirs. The study interval consists of fluvial deposits and is divided into three reservoir zones, which are defined by four key regional markers (B, D, K, O). In these intervals, six (6) fluvial facies have been identified. Based on the log facies proportions and their stacking relationships, it is interpreted that the reservoirs in zone 1 (B to D) were deposited in a proximal reach of a meandering system, zone 2 (D to K) in a marginal marine setting, and zone 3 (K) in a distal reach of a meandering system. The dimensions of fluvial channels and channel belts were determined using empirical equations. The results were compared with the observed dimensions of fluvial channels and channel belts from the seismic horizon and stratal slices of the same intervals. Zones 1 and 3 are characterized by broad meander belts (1000–4000 m) compared to zone 2 (600–1300 m). Petrophysical analysis showed zones 1 and 3 have the better petrophysical properties compared to zone 2. Though zone 3 has the most well-developed sand bodies, the best reservoir interval is zone 1 because of its higher porosity. Although channel belt dimensions have a significant influence on reservoir connectivity, they do not seem to have control on reservoir properties. The channel belt dimensions obtained from the empirical equations and interpreted from the seismic geomorphology analysis were found to be strikingly similar. Since three-dimensional seismic data is not available everywhere and seismic imaging quality decreases with depth, empirical equations can be used to analyze fluvial reservoir parameters and their connectivity at greater depths.

关键词： Log motif Fluvial Channel belt dimension Seismic geomorphology Petrophysics Moragot field

Real-time ventilation control based on a Bayesian estimation of occupancy

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Building Simulation 2021年第5期14卷 1487-1497页

作者： Haolia rahman Hwataik Han Politeknik Negeri Jakarta Jl.Prof.DR.G.A.SiwabessyDepok 16425Jawa BaratIndonesia Kookmin University 77 Jeongneung-roSeongbuk-guSeoul.02707R.O.Korea

Demand-controlled ventilation(DCV)is commonly implemented to provide variable amounts of outdoor air according to an internal ventilation *** objective of the present study is to investigate the applicability and the performance of occupancy-based DCV schemes in comparison with time-based and CO_(2)-based DCV *** do this,we apply the occupancy estimation method by the Bayes theorem to control the ventilation rate of an office building in *** investigated six cases in total(two cases for each control scheme).Experiments were conducted in a small office room with controllable ventilation equipment and relevant *** observed results indicated that the occupancy-based schemes relying on Bayes theorem could be applied successfully to perform continuous control of ventilation rates without causing recursive ***,we discussed the time delays associated with the control procedure,including dispersion time,sensor-response time,and data processing ***,we compared the performance of the proposed approach in six DCV cases in terms of a resultant indoor CO_(2) level and the total ventilation-air *** concluded that DCV control based on both occupancy and floor area provided the best conformity to the ASHRAE standard among the analyzed schemes.

关键词： occupancy estimation Bayesian MCMC carbon dioxide ventilation control

Evaluation of the 8th AJCC staging system for pathologically versus clinically staged pancreatic adenocarcinoma: A time to revisit a dogma?

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Hepatobiliary & Pancreatic Diseases International 2018年第1期17卷 64-69页

作者： Omar Abdel-rahman Clinical Oncology Department Faculty of Medicine Ain Shams University

Background: The 8 th edition of the American Joint Committee on Cancer(AJCC) staging system for pancreatic exocrine adenocarcinoma has been released. The current study seeks to assess the 7 th and 8 th editions among patients registered within the surveillance, epidemiology and end results(SEER) ***: SEER database(2010–2013) has been accessed through SEER*Stat program and AJCC 8 th edition stages were reconstructed utilizing the collaborative stage descriptions. Kaplan–Meier analysis of overall survival and pancreatic cancer-specific survival analyses(according to both 7 th and 8 th editions and according to whether pathological or clinical staging were conducted) has been performed. Multivariate analysis of factors affecting pancreatic cancer-specific survival was also conducted through a Cox proportional hazard ***: A total of 18 948 patients with pancreatic adenocarcinoma were identified in the period from 2010–2013. Pancreatic cancer-specific survival among pathologically staged patients and according to the 8 th edition showed significant differences for all pair wise comparisons among different stages(P < 0.0001) except for the comparison between stage IA and stage IB(P = 0.307) and the comparison between stage IB and stage IIA(P = 0.116). Moreover, P value for stage IA vs IIA was 0.014; while pancreatic cancer-specific survival according to the 7 th edition among pathologically staged patients showed significant differences for all pair wise comparisons among different stages(P < 0.0001) except for the comparison between IA and IB(P = 0.072), the comparison between stage IIA and stage IIB(P = 0.065), the comparison between stage IIA and stage Ⅲ(P = 0.059) and the comparison between IIB and Ⅲ(P = 0.595).Among clinically staged patients(i.e. those who did not undergo initial radical surgery), the prognostic performance of both 7 th and 8 th stages for both overall survival and pancreatic cancer-specific survival was ***: Th

关键词： Pancreatic cancer AJCC SEER Prognosis

Large scale of identification of differentially expressed genes in the regenerating rat liver after SISPH

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Science China(Life Sciences) 2005年第6期48卷 624-635页

作者： rahman Salman Homophilia Research Center London University London SE17EH United Kingdom

Extensive gene expression analysis was carried out after a 0, 4, 36, 72, 96 h short interval successive partial hepatectomy (SISPH) was performed. A total of 185 elements were identified as differing by more than two-fold in their expression levels at one or more time points. Of these 185 elements, 103 were up-regulated, 82 were down-regulated and 86 elements were unreported genes. Quite a few genes were previously unknown to be involved in liver regenera-tion (LR). Using cluster and general analysis, we found that the genes at five time points of the SISPH share eight different types of different expression profiles and eight distinct temporal in-duction or suppression patterns. A comparison of the gene expression in SISPH with that after PH found that 41 genes were specifically altered in SISPH, and 144 genes were simultaneously up-regulated or down-regulated in SISPH and after PH, but they were present in different amounts at the different time points. The conclusions are that (i) microarrays combined with suppressive subtractive hybridization (SSH) can effectively identify genes involved in LR on a large scale; (ii) more genes were up-regulated than down-regulated; (iii) there are fewer abun-dantly expressed genes than those with increased levels of 2-5 fold.

关键词： partial hepatectomy (PH), short interval successive partial hepatectomy (SISPH), liver regeneration (LR), subtracted cDNA libraries, complementary DNA microarray, cluster analysis.

Impact of industrial effluent on growth and yield of rice(Oryza sativa L.) in silty clay loam soil

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Journal of Environmental Sciences 2015年第4期27卷 231-240页

作者： Mohammad Anwar Hossain Golum Kibria Muhammad Mustafizur rahman Mohammad Mizanur rahman Abul Hossain Molla Mohammad Mostafizur rahman Mohammad Khabir Uddin Department of Environmental Sciences Jahangirnagar University Department of Soil Science Bangabandhu Sheikh Mujibur Rahman Agricultural University Department of Bioenvironmental Science Bangabandhu Sheikh Mujibur Rahman Agricultural University

Degradation of soil and water from discharge of untreated industrial effluent is alarming in Bangladesh. Therefore, buildup of heavy metals in soil from contaminated effluent, their entry into the food chain and effects on rice yield were quantified in a pot experiment. The treatments were comprised of 0, 25%, 50%, 75% and 100% industrial effluents applied as irrigation water. Effluents, initial soil, different parts of rice plants and post-harvest pot soil were analyzed for various elements, including heavy metals. Application of elevated levels of effluent contributed to increased heavy metals in pot soils and rice roots due to translocation effects, which were transferred to rice straw and grain. The results indicated that heavy metal toxicity may develop in soil because of contaminated effluent *** metals are not biodegradable, rather they accumulate in soils, and transfer of these metals from effluent to soil and plant cells was found to reduce the growth and development of rice plants and thereby contributed to lower yield. Moreover, a higher concentration of effluent caused heavy metal toxicity as well as reduction of growth and yield of rice, and in the long run a more aggravated situation may threaten human lives,which emphasizes the obligatory adoption of effluent treatment before its release to the environment, and regular monitoring by government agencies needs to be ensured.

关键词： Biomass Crop yield Heavy metal Industrial effluent Soil pollution

Bayesian Optimized LightGBM model for predicting the fundamental vibrational period of masonry infilled RC frames

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1084-1102页

作者： Taimur rahman Pengfei ZHENG Shamima SULTANA Department of Civil Engineering World University of BangladeshDhaka 1230Bangladesh School of Civil Engineering Zhengzhou UniversityZhengzhou 450001China Department of Computer Science&Engineering University of Asia PacificDhaka 1205Bangladesh

The precise prediction of the fundamental vibrational period for reinforced concrete(RC)buildings with infilled walls is essential for structural design,especially earthquake-resistant *** learning models from previous studies,while boasting commendable accuracy in predicting the fundamental period,exhibit vulnerabilities due to lengthy training times and inherent dependence on pre-trained models,especially when engaging with continually evolving data *** predicament emphasizes the necessity for a model that adeptly balances predictive accuracy with robust adaptability and swift data *** latter should include consistent re-training ability as demanded by realtime,continuously updated data *** research implements an optimized Light Gradient Boosting Machine(LightGBM)model,highlighting its augmented predictive capabilities,realized through the astute use of Bayesian Optimization for hyperparameter tuning on the FP4026 research data set,and illuminating its adaptability and efficiency in predictive *** results show that the R^(2) score of LightGBM model is 0.9995 and RMSE is 0.0178,while training speed is 23.2 times faster than that offered by XGBoost and 45.5 times faster than for Gradient ***,this study introduces a practical application through a streamlit-powered,web-based dashboard,enabling engineers to effortlessly utilize and augment the model,contributing data and ensuring precise fundamental period predictions,effectively bridging scholarly research and practical applications.

关键词： masonry-infilled RC frame fundamental period LightGBM FP4026 research dataset machine learning data-driven approach Bayesian Optimization