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On the way to advance the sensing technology, various strategies based on the nano-materials have been introduced to improve the performance of the gas sensors. In this study, we have introduced a facile fabrication procedure for annealing hematite to monitor ethanol gas. Due to large specific area of this conductive platform, more available target molecules (ethanol gas) are detected. To construct this platform, initially, a large scale well-separated iron oxide (hematite) nanostructures are created via an annealing process. The morphology of the nanostructure is optimized through annealing temperature and operating temperature for ethanol gas. The best response for the gas sensor is achieved for hematite nanostructures fabricated through the annealing temperature of 500{\deg}C and the operating temperature of 225$^\circ$C. The fabricated nanostructures is tested in air ambient conditions for various ethanol gas concentrations from 50 to 1000 ppm. The modified sensor exhibited acceptable reproducibility and good selectivity with no interference-effect. To examine the X-ray diffraction patterns of hematite nanostructures at three annealed temperatures, the Rietveld method and FullProf software are used in which the average crystal size has been obtained. Obviously, with increasing the annealing temperature, the average size of the crystals has been increased. The results of ultraviolet-visible spectroscopy show that the energy gap decreased with increasing annealing temperature. The maximum sensing response of hematite flower-like nanostructures is obtained at a concentration of 1000 ppm. Also, the shortest response time is estimated at about 27 seconds for ethanol at a concentration of 200 ppm. The detection limit of this sensor is obtained at 50 ppm.

Nowadays swarm intelligence-based algorithms are being used widely to optimize the dynamic traveling salesman problem (DTSP). In this paper, we have used mixed method of Ant Colony Optimization (AOC)and gradient descent to optimize DTSP which differs with ACO algorithm in evaporation rate and innovative data. This approach prevents premature convergence and scape from local optimum spots and also makes it possible to find better solutions for algorithm. In this paper, we are going to offer gradient descent and ACO algorithm which in comparison to some former methods it shows that algorithm has significantly improved routes optimization.

Blogs are the recent emerging media which relies on information technology and technological advance. Since the mass media in some less-developed and developing countries are in government service and their policies are developed based on governmental interests, so blogs are provided for ideas and exchanging opinions. In this paper, we highlighted performed simulations from obtained information from 100 users and bloggers in Kohkiloye and Boyer Ahmad Province and using Weka 3.6 tool and c4.5 algorithm by applying decision tree with more than %82 precision for getting future tendency anticipation of users to blogging and using in strategically areas.