In a global context marked by climate change and by peak globalization materializing through highly interconnected and interdependent chains of value. Our subject is naturally aligned in a global dynamic characterized...
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ISBN:
(数字)9781665476812
ISBN:
(纸本)9781665476812
In a global context marked by climate change and by peak globalization materializing through highly interconnected and interdependent chains of value. Our subject is naturally aligned in a global dynamic characterized by existential issues and public-level challenges. This motivates us to contribute in this global reflection by proposing concrete and viable responses and measures to safeguard our planet and to perpetuate our heritage for future generations. It is our duty and collective responsibility. Indeed, the balance between environmental, economic and social impacts has become the optimum objective in all contemporary strategies, policies, actions and decisions. This balance is critical in logistics and transport field because it is one of the largest emitters of greenhouse gases directly causing the acceleration of global warming. And also because it's one of the most crucial and sensitive sectors for mankind due to the fact that our survival and comfort depend on it! Our aim is to build a decision aid tool in order to optimally choose a route (also called path) in a multimodal transport network of goods and/or passengers. The system should be as efficient as possible: with a path that causes the least damage and aggression to the environment while being economically and socially beneficial to man. For a multimodal transport network, a mathematical model is established in order to calculate the ecological and socio-economic criteria to be considered‥. Then a multi-objective optimization algorithm is built to find the shortest path by optimizing the defined criteria: An ant colony algorithm is chosen because it is the most optimal and efficient in a complex scenario that takes into account a large number of variable parameters and criteria. Naturally, an implementation on a multimodal transport network is carried out in order to assess the algorithm's performances. Finally, problematic questions are asked in order to incite reflection and explore future perspe
Utilizing a stack cache in a real-time system can aid predictability by avoiding interference that heap memory traffic causes on the data cache. While loads and stores are guaranteed cache hits, explicit operations ar...
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Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December *** Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,*** outbreak of COVID-19 pandem...
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Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December *** Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,*** outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among ***,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and *** this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible *** current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)*** presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter ***,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of *** addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO *** performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different *** outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.
In this paper, we consider boundary output feedback stabilization for a multidimensional wave equation with boundary control matched unknown nonlinear internal uncertainty and external disturbance. A new unknown input...
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We are currently in a period of upheaval, as many new technologies are emerging that open up new possibilities to shape our everyday lives. Particularly, within the field of Personalized Human-computer Interaction we ...
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This paper considers model predictive path-following control for differentially driven mobile robots and state-space paths. In contrast to previous works, we analyze stability of model predictive path-following contro...
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We prove that Alekhnovich's algorithm can be used for row reduction of skew polynomial matrices. This yields an O(ℓ3n(ω+1)/2log(n)) decoding algorithm for ℓ-Interleaved Gabidulin codes of length n, where ω is t...
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The surge of information globally motivates for automated rumour detection. We use Fact-checking to detect rumours of the type misinformation. The FEVER-shared task is the Fact-checking task used for this comparative ...
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Detecting fake news is currently one of the critical challenges facing modern societies. The problem is particularly relevant, as disinformation is readily used for political warfare but can also cause significant har...
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