60 research outputs found
Dynamic Super Round Based Distributed Task Scheduling for UAV Networks
No full textNetworks of Unmanned Aerial Vehicles (UAVs) are emerging in many application domains, e.g., military surveillance. To perform collaborative tasks, the involved UAVs exchange several types of information, e.g., sensor data and commands. The major question here is how to schedule the tasks under dynamic traffic flows to provide network services. Existing solutions use the Round-Robin Strategy (RRS), where the tasks are scheduled statistically by dividing the time into fixed-length rounds. However, the RRS wastes significant network and device resources due to task scheduling in each round. This paper proposes DROVE – a novel clustering approach that allows the UAVs for dynamic task scheduling. However, determining the task scheduling is crucial, as it significantly affects several network parameters, e.g., throughput. Therefore, we devise the problem of distributed task scheduling under dynamic traffic flow scenarios to optimize the throughput. We propose a clustering task scheduling algorithm to serve dynamic traffic flows. Particularly, we integrate the dynamic traffic flows into the Lyapunov drift analysis framework, and determine the throughput optimality of our proposed scheduling algorithm. We perform extensive simulations to validate the effectiveness of DROVE. The results show that DROVE outperforms the state-of-the-art solutions in terms of energy consumption, clustering overhead, throughput, end-to-end delay, flow success rate and packet drop rate. </p
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No full textThe Ca2+-sensor synaptotagmin-1 that triggers neuronal exocytosis binds to negatively charged membrane lipids (mainly phosphatidylserine (PtdSer) and phosphoinositides (Ptdlns)) but the molecular details of this process are not fully understood. Using quantitative thermodynamic, kinetic and structural methods, we show that synaptotagmin-1 (from Rattus norvegicus and expressed in Escherichia coli) binds to Ptdlns(4,5)P-2 via a polybasic lysine patch in the C2B domain, which may promote the priming or docking of synaptic vesicles. Ca2+ neutralizes the negative charges of the Ca2+-binding sites, resulting in the penetration of synaptotagmin-1 into the membrane, via binding of PtdSer, and an increase in the affinity of the polybasic lysine patch to phosphatidylinositol-4,5-bisphosphate (PtdIns(4,5)P-2). These Ca2+-induced events decrease the dissociation rate of synaptotagmin-1 membrane binding while the association rate remains unchanged. We conclude that both membrane penetration and the increased residence time of synaptotagmin-1 at the plasma membrane are crucial for triggering exocytotic membrane fusion
Automatic feature extraction of ECG signal based on adaptive window dependent differential histogram approach and validation with CSE database
No full textHealthcare Automation System by Using Cloud-Based Telemonitoring Technique for Cardiovascular Disease Classification
No full textAutomatic feature extraction of ECG signal based on adaptive window dependent differential histogram approach and validation with CSE database
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Seismic Damage Evaluation of Gravity Load Designed Low Rise RC Building Using Non-linear Static Method
No full textAbstractIn India, the 2001 Bhuj earthquake has given a serious warning to many existing reinforced concrete (RC) buildings. However, a considerable portion of the building stock of India is reinforced concrete buildings which are generally designed mainly for gravity loads only. Therefore, potential seismic evaluation of these buildings, especially in high seismic region, is very essential in order to implement any kind of seismic hazard mitigation strategy. Hence, the present study aims to evaluate the seismic vulnerability of low rise RC frame building which is designed for gravity load according to the Indian code. The non-linear static analysis is performed using SAP2000 (v16) to find the capacity curve of the building. Fragility analysis is used to develop the fragility curve for different damage grade based on HAZUS methodology. Damage probability matrices (DPM) are formed for two different seismic hazard levels i.e. for maximum considered earthquake and design basis earthquake depending on the performance point to compare the damage state for each hazard level. The result shows that the damage of considered building is vary from moderate to severe damage state to the corresponding different seismic hazard level
Electrical conductivity and current-voltage hysteresis behavior of BiFeO3 doped PVA nanocomposite film
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