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A New Handover Management Model for Two-Tier 5G Mobile Networks

Computers, Materials & Continua 2022年第6期71卷 5491-5509页

作者： mohammad arifin rahman khan Mohammed Golam Kaosar mohammad Shorfuzzaman Kire Jakimoski Department of Computer Science and Engineering Bangladesh UniversityDhaka1207Bangladesh Discipline of IT Media and CommunicationsMurdoch UniversityPerthWA6150Australia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Informatics AUE-FON UniversitySkopjeRepublic of North Macedonia

There has been an exponential rise in mobile data traffic in recent times due to the increasing popularity of portable devices like tablets,smartphones,and *** rapid rise in the use of these portable devices has put extreme stress on the network service providers while forcing telecommunication engineers to look for innovative solutions to meet the increased *** solution to the problem is the emergence of fifth-generation(5G)wireless communication,which can address the challenges by offering very broad wireless area capacity and potential cut-power *** application of small cells is the fundamental mechanism for the *** use of small cells can enhance the facility for higher capacity and ***,it must be noted that small cells deployment will lead to frequent handovers of mobile *** the importance of small cells in 5G,this paper aims to examine a new resource management scheme that can work to minimize the rate of handovers formobile phones through careful resources allocation in a two-tier ***,the resource management problem has been formulated as an optimization issue thatwe aim to overcome through an optimal *** find a solution to the existing problem of frequent handovers,a heuristic approach has been *** solution is then evaluated and validated through simulation and testing,during which the performance was noted to improve by 12%in the context of handover ***,this model has been observed to be more efficient as compared to the existing model.

关键词： Two-tier mobile networks small cell densification management of mobility handover cost average throughput power consumption

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Tea tree oil,a vibrant source of neuroprotection via neuroinflammation inhibition:a critical insight into repurposing Melaleuca alternifolia by unfolding its characteristics

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第7期24卷 554-573页

作者： Md Atiar rahman Abida SULTANA mohammad Forhad khan Rachasak BOONHOK Sharmin AFROZ Department of Biochemistry and Molecular Biology University of ChittagongChittagong-4331Bangladesh School of Allied Health Sciences Walailak UniversityNakhon Si Thammarat 80160Thailand Department of Chemistry University of Massachusetts BostonBostonMA 02125USA Department of Medical Technology School of Allied Health Sciencesand Research Excellence Center for Innovation and Health Products(RECIHP)Walailak UniversityNakhon Si Thammarat 80160Thailand Department of Theoretical and Computational Chemistry University of DhakaDhaka-1000Bangladesh

Over the past few decades,complementary and alternative treatments have become increasingly popular *** purported therapeutic characteristics of natural products have come under increased scrutiny both in vitro and in vivo as part of efforts to legitimize their *** such product is tea tree oil(TTO),a volatile essential oil primarily obtained from the native Australian plant,Melaleuca alternifolia,which has diverse traditional and industrial applications such as topical preparations for the treatment of skin *** anti-inflammatory-linked immunomodulatory actions have also been *** systematic review focuses on the anti-inflammatory effects of TTO and its main components that have shown strong immunomodulatory *** extensive literature search was performed electronically for data curation on worldwide accepted scientific databases,such as Web of Science,Google Scholar,PubMed,ScienceDirect,Scopus,and esteemed publishers such as Elsevier,Springer,Frontiers,and Taylor&*** that the majority of pharmacological studies were conducted on crude oils only,the extracted data were critically analyzed to gain further insight into the prospects of TTO being used as a neuroprotective agent by drug formulation or dietary *** addition,the active constituents contributing to the activity of TTO have not been well justified,and the core mechanisms need to be unveiled especially for anti-inflammatory and immunomodulatory effects leading to ***,this review attempts to correlate the anti-inflammatory and immunomodulatory activity of TTO with its neuroprotective mechanisms.

关键词： Tea tree oil Anti-inflammatory Anti-viral Antibacterial Terpinen-4-ol18-Cineole Neuroprotective effect

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Antioxidant compounds and minerals in tomatoes by Trichodermaenriched biofertilizer and their relationship with the soil environments

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Journal of Integrative Agriculture 2017年第3期16卷 691-703页

作者： Yeakub khan Manjurul Haque Abul Hossain Molla Mizanur rahman mohammad Zahangeer Alam Department of Environmental Science Faculty of Agriculture Bangabandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706 Bangladesh Department of Soil Science Faculty of Agriculture Bangabandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706 Bangladesh

The experiment was conducted to evaluate the efficacy of Trichoderma-enriched biofertilizer（BioF/compost）on antioxidants and minerals in ripe tomatoes and soil health improvements in terms of nutrient availability and microbial *** study was comprised of six treatments：control（zero input）;recommended doses of NPK（135.5,45.6 and 22.9 kg ha^-1,respectively）;100%BioF/compost;75%BioF/compost＋25%N;50%BioF/compost＋50%N;and 25%BioF/compost＋75%*** recommended doses of P and K were used in the last three *** was found that the application of 100%BioF/compost enhanced plant growth,leaf greenness,and produced 12.9%higher yield compared to the recommended doses of NPK and other *** contents（P,K,Ca,Mg,Cu,Fe,Mn and Zn）in tomato roots,shoots and fruits and antioxidant compounds,i.e.,ascorbic acid,β-carotine,and lycopene were increased significantly in fruits fertilized with100%BioF/*** high efficiency of Trichoderma compost might be the result of its potential of nutrient solubilization and harboring soil ***,BioF/compost increased soil fertility and favored growth of microbes in the rhizosphere which ultimately contributed to higher yield,antioxidant,and mineral concentrations in ***,Trichoderma-enriched biofertilizer may reduce application of chemical fertilizers and therefore,can be considered as a noble practice in sustainable agriculture.

关键词： Trichoderma harzianum T22 minerals .antioxidants nutrient availability microbial populations

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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

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Anti-cancer potential of South Asian plants

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Natural Products and Bioprospecting 2013年第3期3卷 74-88页

作者： mohammad Mijanur rahman Md.Asaduzzaman khan Department of Biochemistry and Molecular Biology Jahangirnagar UniversitySavarDhaka 1342Bangladesh Department of Biochemistry School of Life SciencesCentral South UniversityChangsha 410013China

Phyto-chemicals are increasingly being used in the treatment of cancer because of their availability,potential anti-cancer activity with less adverse effects when compared with *** variation of climate and geography in South Asian countries provides a nursing environment for the growth of versatile plant species,that are repeatedly drawing attention of the scientific *** this review,we have focused on the anti-cancer potential of thirty plants,which are commonly found in Bangladesh,India,Nepal,Pakistan and Sri Lanka,with their mechanisms of *** particular,we have discussed the bio-active components that display anti-cancer activity,which have been identified in these *** review may help researchers to profile plants with known anti-cancer effect of this region and further investigations of anti-cancer agents in medicinal plants from South Asia.

关键词： natural products South Asia medicinal plants anti-cancer activities phyto-chemicals

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An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks

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Computers, Materials & Continua 2022年第3期70卷 5929-5948页

作者： Gulzar Mehmood Muhammad Zahid khan Muhammad Fayaz mohammad Faisal Haseeb Ur rahman Jeonghwan Gwak Department of Computer Science&Information Technology University of MalakandChakdara Dir Lower23021Pakistan Department of Computer Science University of Central AsiaNarynKyrgyzstan Department of Software Korea National University of TransportationChungju27469Korea Department of Biomedical Engineering Korea National University of TransportationChungju27469Korea Department of AI Robotics Engineering Korea National University of TransportationChungju27469Korea Department of IT and Energy Convergence(BK21 FOUR) Korea National University of TransportationChungju27469Korea

Due to the advancement in wireless technology and miniaturization,Wireless Body Area Networks(WBANs)have gained enormous popularity,having various applications,especially in the healthcare *** are intrinsically resource-constrained;therefore,they have specific design and development *** such highly desirable requirement is an energy-efficient and reliable Data Aggregation(DA)mechanism for *** efficient and reliableDAmay ultimately push the network to operate without much human intervention and further extend the network *** conventional client-serverDAparadigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the ***,in most of the healthcare applications(patient’s critical conditions),it is highly important and required to send data as soon as possible;therefore,reliable data aggregation in WBANs is of great *** tackle the shortcomings of the client-serverDAparadigm,theMobile Agent-Basedmechanismproved to be a more workable *** aMobile Agent-Based mechanism,a taskspecific mobile agent(code)traverses to the intended sources to gather *** agents travel on a predefined path called itinerary;however,planning a suitable and reliable itinerary for a mobile agent is also a challenging issue *** paper presents a new Mobile Agent-Based DA scheme for WBANs,which is energy-efficient and ***,in the proposed scheme,the network is divided into clusters,and cluster-heads are ***,a mobile agent is generated from the base station to collect the required data from cluster *** the case,if any fault occurs in the existing itinerary,an alternate itinerary is planned in real-time without compromising the network *** our simulation-based validation,we have found that the proposed system delivers significantly improved fault-tolerance and reliability with energy-efficiency and extended network lifetime in WBANs.

关键词： WBANs mobile-agent data aggregation reliability

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Interaction of tetradecyltrimethylammonium bromide with bovine serum albumin in different compositions: Effect of temperatures and electrolytes/urea

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Chinese Journal of Chemical Engineering 2021年第1期34卷 279-287页

作者： Joynal Abedin ShamimMahbub mohammad Majibur rahman Anamul Hoque Dileep Kumar Javed Masood khan Ahmed M.El-Sherbeeny Department of Chemistry Jahangirnagar UniversitySavarDhaka 1342Bangladesh Department of Chemistry&Physics Gono BishwabidyalaySavarDhaka 1344Bangladesh Department of Environmental Sciences Jahangirnagar UniversitySavarDhaka 1342Bangladesh 4 Division of Computational Phys ics Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Applied Sciences Ton Duc Thang UniversityHo Chi Minh CityViet Nam Department of Food Science and Nutrition Faculty of Food and Agricultural SciencesKing Saud University2460Riyadh 11451Saudi Arabia Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh 11421Saudi Arabia

Herein,the interaction of a protein,bovine serum albumin(BSA),with tetradecyltrimethylammonium bromide(TTAB,a cationic surfactant),has been investigated using the conductivity measurement technique in pure water and some sodium salts(NaCl,Na_(2) SO_(4),Na_(2) CO_(3), and Na_(3) PO_(4)) solutions at temperature range of 295.15-320.15 *** reveal that,in the plot of specific conductivity versus the concentration of TTAB,only a single critical micelle concentration(cmc) was found for the TTAB+BSA mixed system in all solvents media *** addition of BSA in aqueous TTAB solution,the value of cmc undergoes a change from its pure form,which indicates the presence of strong interaction operating between the BSA and TTAB *** aqueous system,the cmc values of the TTAB+BSA mixtures are obtained higher compared to the values found for single TTAB surfactant However,the addition of salt decreases the cmc value of mixed TTAB+BSA *** values of cmc of the BSA+TTAB mixed system at 310.15 K and 1.00 mmol·kg^(-1) ionic strength of salt followed the order:cmc_(Na_(2) CO_(3))> Cmcc_(Na_(3) PO_(4))> cmcNaCl>cMC_(Na_(2) SO_(4)).The cmc values of TTAB+BSA mixture were found to be lowered in urea solution within the concentrations *** values of degree of dissociation(α) and fraction of counter ion binding(β) were found to be dependent on additives and *** free energy of micellization(AGm) is negative for all the systems,which manifests that the micellization phenomenon is energetically *** enhancement of the negative value of △G_(m)^(0) in aqueous salt solutions reveals an increase of spontaneity of the TTAB+BSA micellization *** values of △G_(m)^(0) also reveal that the spontaneity of micelle formation is enhanced at higher temperatures in all media *** values of free energy of transfer(△G_(m,t)^(o)) were also determined for numerous solvent media used in the present study and described with appropriate reasoning.

关键词： TTAB BSA Conductivity Electrolyte Exothermic interaction

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Low Altitude Satellite Constellation for Futuristic Aerial-Ground Communications

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1053-1089页

作者： Saifur rahman Sabuj mohammad Saadman Alam Majumder Haider Md Akbar Hossain Al-Sakib khan Pathan Department of Electronic Engineering Hanbat National UniversityDaejeon34158South Korea Department of Electrical and Electronic Engineering Brac UniversityDhaka1212Bangladesh School of Business and Digital Technologies Manukau Institute of TechnologyManukau2241New Zealand Department of Computer Science and Engineering United International UniversityDhaka1212Bangladesh

This paper discusses the significance and prospects of low altitude small satellite aerial vehicles to ensure smooth aerial-ground communications for next-generation broadband *** achieve the generic goals of fifthgeneration and beyondwireless networks,the existing aerial network architecture needs to be *** detailed architecture of low altitude aerial networks and the challenges in resource management have been illustrated in this ***,we have studied the coordination between promising communication technologies and low altitude aerial networks to provide robust network *** talk about the techniques that can ensure userfriendly control and monitoring of the low altitude aerial networks to bring forth wireless broadband connectivity to a new *** the end,we highlight the future research directions of aerial-ground communications in terms of access technologies,machine learning,compressed sensing,and quantum communications.

关键词： Aerial-terrestrial network cognitive radio network cooperative communication high altitude platform low altitude platform low earth orbit satellite constellation unmanned aerial vehicle

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Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk

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Computer Systems Science & Engineering 2023年第1期44卷 757-775页

作者： Polin rahman Ahmed Rifat MD.IftehadAmjad Chy mohammad Monirujjaman khan Mehedi Masud Sultan Aljahdali Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka1229Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

Heart failure is now widely spread throughout the *** disease affects approximately 48%of the *** is too expensive and also difficult to cure the *** research paper represents machine learning models to predict heart *** fundamental concept is to compare the correctness of various Machine Learning(ML)algorithms and boost algorithms to improve models’accuracy for *** supervised algorithms like K-Nearest Neighbor(KNN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF),Logistic Regression(LR)are considered to achieve the best *** boosting algorithms like Extreme Gradient Boosting(XGBoost)and Cat-Boost are also used to improve the prediction using Artificial Neural Networks(ANN).This research also focuses on data visualization to identify patterns,trends,and outliers in a massive data *** and Scikit-learns are used for *** Flow and Keras,along with Python,are used for ANN model *** DT and RF algorithms achieved the highest accuracy of 95%among the ***,KNN obtained a second height accuracy of 93.33%.XGBoost had a gratified accuracy of 91.67%,SVM,CATBoost,and ANN had an accuracy of 90%,and LR had 88.33%accuracy.

关键词： Heart failure prediction data visualization machine learning k-nearest neighbors support vector machine decision tree random forest logistic regression xgboost and catboost artificial neural network

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Machine learning-based multi-objective optimization and thermal assessment of supercritical CO_(2) Rankine cycles for gas turbine waste heat recovery

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Energy and AI 2024年第2期16卷 363-384页

作者： Asif Iqbal Turja Ishtiak Ahmed khan Sabbir rahman Ashraf Mustakim mohammad Ishraq Hossain M Monjurul Ehsan Yasin khan Department of Mechanical and Production Engineering(MPE) Islamic University of Technology(IUT)Board BazarGazipur1704Bangladesh

Technologies for utilizing waste heat for power generation have attracted significant attention in recent years due to their potential to enhance energy efficiency and reduce greenhouse gas *** research focuses on the comparative and optimization analysis of three supercritical carbon dioxide(sCO_(2))Rankine cycles(simple,cascade,and split)for gas turbine waste heat *** study begins with parametric analysis,investigating the significant effects of key variables,including turbine inlet temperature,condenser inlet temperature,and pinch point temperature,on the thermal performance of advanced sCO_(2) power *** identify the most efficient cycle configuration,a multi-objective optimization approach is *** approach combines a Genetic Algorithm with machine learning regression models(Random Forest,XGBoost,Artificial Neural Network,Ridge Regression,and K-Nearest Neighbors)to predict cycle performance using a dataset extracted from cycle *** decision-making process for determining the optimal cycle configuration is facilitated by the TOPSIS(technique for order of preference by similarity to the ideal solution)*** study's major findings reveal that the split cycle outperforms the simple and cascade configurations in terms of power generation across various operating *** optimized split cycle not only demonstrates superior power output but also exhibits enhanced net power output,heat recovery,system and exergy efficiency of 7.99 MW,76.17%,26.86%and 57.96%,respectively,making it a promising choice for waste heat recovery *** research has the potential to contribute to the advancement and widespread adoption of waste heat recovery in energy technologies boosting system efficiency and economic *** provides a new perspective for future research,contributing to the improvement of energy generation infrastructure.

关键词： Supercritical co2 Rankine cycle Waste heat recovery Gas turbine Thermodynamic analysis Machine Learning Optimization

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