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When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system

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Green Energy and Intelligent Transportation 2024年第3期3卷 24-41页

作者： Malak Abid Ali Khan Hongbin Ma arshad farhad Asad Mujeeb Imran Khan Mirani Muhammad Hamza National Key Lab of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Computer Science Namal UniversityPakistan Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China

LoRa technology contributes to green energy by enabling efficient,long-range communication for the Internet of Things(IoT).This paper addresses the challenges related to coverage range in outdoor monitoring systems utilizing LoRa,where the network performance is affected by the density of gateways(GWs)and end devices(EDs),as well as environmental *** mitigate interference,data throughput losses,and high-power consumption,the proposed spreading factor(SF)and hybrid(data rate|SF)models dynamically adjust the transmission *** orchestration of concurrent data modifications within the network server(NS)is crucial for uninterrupted communication between GWs and EDs,especially in monitoring electric vehicle(EV)stations to reduce traffic congestion and *** K-means and density-based spatial clustering of applications with noise(DBSCAN)algorithms optimizes ED allocation,averts data congestion,and improves the signal-tointerference noise ratio(SINR).These methods ensure seamless information reception by meticulously allocated EDs across various GW *** estimate the free-space losses(FSL),a log-distance path loss model(log-PL)is *** various bandwidths(BWs),bidirectional communications,and duty cycles(DCs)helps to prevent saturation,thus prolonging the operational lifespan of *** findings reveal a notable packet rejection rate(PRR)of 0%for the DBSCAN(hybrid model).In contrast,the K-means exhibits a PRR ranging from 5%(hybrid model)to 35.29%(SF model)for the ten GWs ***,the network saturation is reduced to 10.185%and 9.503%,respectively,highlighting an improvement in the average efficiency of slotted ALOHA(91.1%)and pure ALOHA(90.7%).These enhancements increase the lifespan of EDs to 15,465.27 days.

关键词： DBSCAN Green transportation Hybrid model Intelligent transportation K-means

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Effects of diverse doses of Lead (Pb) on different growth attributes of <i>Zea-Mays</i>L.

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Agricultural Sciences 2013年第5期4卷 262-265页

作者： Abrar Hussain Nabila Abbas Fahim arshad Muhammad Akram Zafar Iqbal Khan Kafeel Ahmad Muhammad Mansha farhad Mirzaei Ahmad Department of Animal Production Management Animal Science Research Institute of Iran Karaj Iran Department of Biological Sciences University of Sargodha Sargodha Pakistan Department of Botany University of Education Okara Campus Okara Pakistan Department of Botany University of the Punjab Lahore Pakistan Division of Science and Technology University of Education Lahore Pakistan

The aim of the investigation was to determine the potential effect of lead on maize growth. Lead is considered as important potent environmental contaminant. Various ecological, environmental and evolutionary processes in the microsphere are disrupted because of lead toxicity to the microbial community. The effects of Lead Nitrate (Pb(No3)2) as heavy metal on germination, early growth seedling, root-shoot length, root-shoot fresh and dry weights, total protein content and the uptake of lead by roots and shoots of Zea-mays were investigated. All of the parameters were reduced by the increased lead concentrations. Such growth retardation was due to metals toxicity that resulted in damages to various physiological and biochemical processes.

关键词： Lead Uptake Zea-Mays L. Early Seedling Growth

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Exploration of concentration of two macro-minerals in different wild forages in relation to nutrient requirements of livestock

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Agricultural Sciences 2013年第7期4卷 340-344页

作者： Kafeel Ahmad Zafar Iqbal Khan Muneeba Shaheen farhad Mirzaei Abrar Hussain Fahim arshad Tahir Mehmood Zahara Bibi Department of Biological Sciences University of Sargodha Sargodha Pakistan Department of Botany University of Education Okara Campus Okara Pakistan Department of Statistics University of Sargodha Sargodha Pakistan Livestock Production Management Department Animal Science Research Institute of Iran Karaj Iran Science and Technological Division University of Education Township Campus Lahore Pakistan

The composition of two macro-minerals (Ca and Na) was examined in soil and forages in two fields of District Sargodha, Pakistan. During winter and summer season, soil and forage samples were collected. In both seasons, Na was sufficient in soil and forages. As compared to the winter season, the Na and Ca levels in soil were considerably higher in summer season. In forages, the level of Ca was deficient than the level which is essential for livestock growth. In the pastures, grazing livestock may be?deficient in these minerals as these pastures are not supplying sufficient minerals to the ruminants grazing therein. Supplementation of minerals is necessary to prevent the mineral imbalances and deficiency diseases in grazing livestock.

关键词： Mineral Composition Soil Forage Livestock

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Proximate analysis: Relative feed values of various forage plants for ruminants investigated in a semi-arid region of Punjab, Pakistan

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Agricultural Sciences 2013年第6期4卷 302-308页

作者： Kafeel Ahmed Muneeba Shaheen farhad Mirzaei Zafar Iqbal Khan Sumaira Gondal Asia Fardous Abrar Hussain Fahim arshad Tahir Mehmood Department of Biological Sciences University of Sargodha Sargodha Pakistan Department of Botany University of Education Okara Campus Okara Pakistan Department of Statistics University of Sargodha Sargodha Pakistan Livestock Production Management Department Animal Science Research Institute of Iran Karaj Iran Science and Technology Division University of Education Township Campus Lahore Pakistan

The experimental site “Sial Morr Sugar mill, District Sargodha” Punjab, Pakistan was selected to carry out present investigation. The forage samples of Eragrostis pilosa, Dactyloctenium aegyptium, Parthenium hysterophorus and Calotropis procera were collected from the three sites held in this area. The forage samples were cleaned with distilled water to rinse dust particles and other impurities. These forage samples were air dried, oven dried and ground for the assessment of proximate analysis. Proximate analysis procedures including the percentage of moisture content, crude protein, ash contents and crude fiber in the sample were determined by the Association of Official Analytical Chemists methods. The CP contents among different plant species ranged from 8.1% to 26.2% at all sites. The lowest CP value was found in Eragrostis pilosa at site III while the highest CP contents in Dactyloctenium aegyptium at site II. The CP content showed significant (p < 0.05) result among all species at all sites. There was consistence pattern of increase and decrease found during all plant species at all sites. Generally, CP concentration averaged high at site II. Our CP contents are above the critical value. Considering the overall percentage of moisture composition, it was highest at site II. However, the moisture was found more in Calotropis procera at site II. The Dactyloctenium aegyptium had the least moisture content of 3.9% while the highest water content of 7%. Ash contents varied from 7.2% to 17.9% among various plant species at all sampling sites. The lowest ash contents were recorded in Dactyloctenium aegyptium at site III. At site II, ash contents were highest in Eragrostis pilosa. The differences between ash contents of various plant species were significant (p < 0.05) at all sampling site. Generally, the ash contents were higher at site II. Crude fiber contents differed significantly (p Parthenium hysterophorus had greater crude fiber contents at site II while the low

关键词： Eragrostis pilosa Dactyloctenium aegyptium Parthenium hysterophorus Calotropis procera Nutritional Values Proximate Contents

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