We deal with the navigation problem where the agent follows natural language instructions while observing the environment. Focusing on language understanding, we show the importance of spatial semantics in grounding navigation instructions into visua l perceptions. We propose a neural agent that uses the elements of spatial configurations and investigate their influence on the navigation agent's reasoning ability. Moreover, we model the sequential execution order and align visual objects with spatial configurations in the instruction. Our neural agent improves strong baselines on the seen environments and shows competitive performance on the unseen environments. Additionally, the experimental results demonstrate that explicit modeling of spatial semantic elements in the instructions can improve the grounding and spatial reasoning of the model.
In this work, the performance of batch electrocoagulation (EC) treatment using iron electrodes with monopolar and bipolar electrode configurations for trivalent chromium (Cr (III)) removal from a synthetic wastewater was investigated. The influence s of current density (from 2 to 25 mA/cm2) and initial metal concentration (from 100 to 250 mg/L) on the removal efficiency were explored in a batch stirred cell for monopolar and bipolar configurations. Removal of Cr (III) by EC process from aqueous solution with both monopolar and bipolar electrode configurations was a feasible process. For the initial Cr (III) concentration of 250 mg/L, almost complete removal (99.88%) of Cr (III) was noted after 20 min of EC in case of bipolar electrode arrangement at 25 mA/cm2 with 4.5 mmol/L of supporting electrolyte (Na2SO4) against 89.58% of Cr (III) removal for monopole electrode configuration. At the same electrolysis time, the power consumption was 47 and 15.3 kWh/m3 in case of monopolar and bipolar configuration respectively for the previous removal conditions.
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا