Probabilistic elderly person’s mood analysis based on its activities of daily living using smart facilities

Pattern Analysis and Applications - The world's population is aging, and eldercare services that use smart facilities such as smart homes are widely common in societies now. With the aid of...     

Enabling remote-control for the power sub-stations over LTE-A networks

Telecommunication Systems - In recent years, smart grid (SG) applications have been proven a sophisticated technology of immense aptitude, comfort and efficiency not only for the power generation...     

The effect of keyword repetition in abstract and keyword frequency per journal in predicting citation counts

This paper investigates an association between two new variables and citations in papers. These variables include the abstract ratio (the sum of repetition of keywords in abstract divided by abstract length) and the weight ratio (the frequency of paper’s keyword per journal). The data consist of 5875 papers from 12 journals in education: three journals from each SCImago quartile. The researchers used semi-continuous regression to model the data and measure the impact of the proposed variables on citations. The results revealed that both abstract ratio and weight ratio are statistically significant predictors of citations in scientific articles in education.     

Investigation on the Creep Behavior of AZ91 Magnesium Alloy Processed by Severe Plastic Deformation

Metals and Materials International - This paper describes the grain refinement due to equal-channel angular pressing (ECAP) and the creep properties of the ECAP-processed AZ91 magnesium alloy. The...     

Synergy in tribological properties of polyamide 6 containing aramid pulp and irradiated polytetrafluoroethylene hybrid additives

Iranian Polymer Journal - Tribological properties of polyamide 6 were improved synergistically using aramid pulp and irradiated polytetrafluoroethylene (IR-PTFE) hybrid additives. Tribological...     

Synthesis and investigation of SnS<Subscript>2</Subscript>/RGO nanocomposites with different GO concentrations: structure and optical properties,photocatalytic performance

In this study, we report the synthesis of tin disulfide/reduced graphrene oxide (SnS₂/RGO) nanocomposites by a simple one-step hydrothermal method. In order to investigate the effect of RGO on the structure and optical properties and photocatalytic activity of the products a series of nanocomposites was prepared with different concentrations of GO. The samples were examined using X-ray diffraction, field emission scanning electron microscopy (FESEM), Raman spectroscopy, UV–Vis spectroscopy and photoluminescence techniques. The results confirmed the growth of SnS₂ with the hexagonal phase. FESEM analysis showed that the hexagonal tin disulfide nanoplates are uniformly dispersed on the surface of the graphene oxide sheets. The optical examination of SnS₂ and SnS₂/RGO nanocomposites indicated that the band gaps of all nanocomposites are greater than that of SnS₂ due to the quantum confinement effect. The photocatalytic activity of the SnS₂/RGO nanocomposites was investigated for degradation of the acid orange 7 dye under visible light. It was observed that all nanocomposites have a higher photocatalytic activity for the degradation in comparison with pure SnS₂. The optimum concentration of GO in SnS₂/RGO nanocomposite for achieving the highest photocatalytic efficiency (81%) was determined as 2 mg ml^?1 during 180 min.     

Time-critical energy minimization protocol using PQM (TCEM-PQM) for wireless body sensor network

Wireless body sensor network (WBSN) provides a sophisticated monitoring environment without disturbing the daily subject activity. The WBSN increases the mobility of the subject without being restricted inside the hospital environment. However, resources like limited power and transceiver capability limit the movement of the subject. Providing an energy-efficient scheme will provide extended network lifetime and limits the frequency of recharging the battery. This subject condition modelled as a Markov model with normal and abnormal states. The transition from the normal state to abnormal state is predicted through Markov process. The sensor nodes monitoring the subject status remade to sleep state during the reasonable condition, and during the abnormal state, all the nodes awakened. This sleep–wake methodology with priority queuing model is studied in this paper and implemented in MATLAB. The priority queuing model provides a novel solution for time-critical applications. The proposed TCEM-PQM provides reduced time delay when compared to PQM routing protocol. The time delay reduced for critical applications and the policy suits monitoring environment and healthcare applications. The proposed model is simulated with Markov model.

     

A dynamic programming approach for finding shortest chains in a fuzzy network

Graph theory has numerous applications to problems in systems analysis, operations research, transportation, and economics. In many cases, however, some aspects of a graph-theoretic problem may be uncertain. For example, the vehicle travel time or vehicle capacity on a road network may not be known exactly. In such cases, it is natural to make use of fuzzy set theory to deal with the uncertainty. Here, we are concerned with finding shortest chains in a graph with fuzzy distance for every edge. We propose a dynamic programming approach to solve the fuzzy shortest chain problem using a suitable ranking method. By using MATLAB, two illustrative examples are worked out to demonstrate the proposed algorithm.     

Distribution and Sources of Polycyclic Aromatic Hydrocarbons (PAHs) in Surface Sediments from the Northern Part of the Persian Gulf (Hormuzgan Province)

Sediments from the intertidal areas of Hormuzgan province in northern part of Persian Gulf (Iran) were investigated for the levels and possible sources of 15 polycyclic aromatic hydrocarbons (PAHs). Samples of sediments were collected from twelve sampling sites and analyzed for PAHs by gas chromatography–mass spectrometry (GC-MS). The results showed that the total concentrations of PAHs ranged from 765 to 1898 ng/g dry weight. Composition pattern in the sediment samples from 12 sampling sites was dominated by 4-ring PAH compounds. Molecular indices based on ratios of PAH concentrations were used to differentiate PAHs from pyrolitic, petrogenic and mixed origins. The results of study suggested that the main sources of PAHs in the sediment were mixed with pyrolitic and petrogenic inputs. According to the US sediments quality guidelines (SQGs) (ERL/ERM) sediments of the mentioned region did not show any ecotoxicological risk for benthic organisms.