Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks

There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs.Comment: 16 Pages, JGraph-Hoc Journa

Comparison of Beers criteria and EU(7) potentially inappropriate medications list for the potentially inappropriate medications in Indian elderly inpatients

Background: Use of inappropriate medication is an important problem in present geriatric clinical practice. No specific potentially inappropriate medications (PIM) tools are available considering the availability of drugs in India. Aim and objective were to assess prevalence and pattern of potentially inappropriate medication (PIM) use in elderly inpatients by updated Beers criteria 2015 and EU(7) PIM list 2015.Methods: This cross-sectional study was carried out on medical records of elderly patients (≥65 yrs) admitted in the internal medicine wards and intensive care units (ICU) over a period of 6 weeks. The medications were evaluated for the PIM use as per Beers criteria and EU(7) PIM list.Results: A total of 225 patients (mean age- 71.48 yrs) were admitted in internal medicine wards and ICU during study period. Total 184 PIM belonged to 33 different medications were used during study period. The prevalence of PIM in internal medicine wards and ICUs were 51.96% and 57.14%, respectively. The prevalence of PIM was significantly higher with the EU(7) PIM list than Beers criteria (49.77% vs. 21.77%) [p<0.0001]. The commonly prescribed PIM were dextromethorphan (13.33%), ranitidine (11.11%) and glipizide (10.22%).Conclusions: Elderly patients frequently receive PIM. EU(7) PIM list identifies more PIM among elderly inpatients than Beers criteria

A hybrid ACO/PSO based algorithm for QoS multicast routing problem

AbstractMany Internet multicast applications such as videoconferencing, distance education, and online simulation require to send information from a source to some selected destinations. These applications have stringent Quality-of-Service (QoS) requirements that include delay, loss rate, bandwidth, and delay jitter. This leads to the problem of routing multicast traffic satisfying QoS requirements. The above mentioned problem is known as the QoS constrained multicast routing problem and is NP Complete. In this paper, we present a swarming agent based intelligent algorithm using a hybrid Ant Colony Optimization (ACO)/Particle Swarm Optimization (PSO) technique to optimize the multicast tree. The algorithm starts with generating a large amount of mobile agents in the search space. The ACO algorithm guides the agents’ movement by pheromones in the shared environment locally, and the global maximum of the attribute values are obtained through the random interaction between the agents using PSO algorithm. The performance of the proposed algorithm is evaluated through simulation. The simulation results reveal that our algorithm performs better than the existing algorithms

Greek Metaphysics and the Perspectives of Socrates, Plato and Aristotle in the Context of Physical Education

Plato emphasized the importance of physical education for soul development in his book ‘Phaedo’, which Socrates shunned for the same reason. Plato emphasized the physical component and the harmonious balance of the material and spiritual in his books ‘Republic’ and ‘Laws’. In his book ‘Politics’, Aristotle defined three elements of excellent education, the first of which was physical health. In this framework, sports and physical education should take precedence

An Efficient Algorithm for Delay and Delay- Variation Bounded Core Based Tree Generation

Many multimedia group applications require the construction of multicast tree satisfying the quality of service (QoS) requirements. To support real time communication, computer networks need to optimize the Delay and Delay-Variation Bounded Multicast Tree (DVBMT). The problem is to satisfy the end-to-end delay and delay-variation within an upper bound. The DVBMT problem is known to be NP complete. In this paper, we propose an efficient core selection algorithm for satisfying the end-to-end delay and delay-variation within an upper bound. The efficiency of the proposed algorithm is validated through the simulation. The simulation results reveal that our algorithm performs better than the existing heuristic algorithms

Titania coated silica nanocomposite prepared via encapsulation method for the degradation of Safranin-O dye from aqueous solution: Optimization using statistical design

AbstractTitania coated silica nanoparticles, which were synthesized via nanoparticle encapsulation route, are employed to degrade safranin-O dye from aqueous solution under UV light irradiation and were characterized by FT-IR, XRD, FESEM, N2 adsorption-desorption method and Zeta potential measurement. The results showed that the nanoparticles have a core-shell structure composed of about 100nm of diameter of silica with several TiO2 fine particles in shell. After the degradation, this process is optimized through the response surface methodology (RSM). In this response study, photodegradation efficiency was evaluated by three main independent parameters such as catalyst dose, initial dye concentration and reaction time. Parameter sensitivity studies of the degradation efficiency of titania coated silica nanoparticles have shown 93.29% degraded under the optimal conditions of catalyst dose of 89.80mg/g, initial dye concentration of 17.61mg/L and reaction time of 12min. We cross-checked the predicted values of degradation efficiency with the experimental values and were found to be in good agreement (R2=0.9983 and adj-R2=0.9967)

Review article on Swarna Parpati with special reference to Aushadhi Gunadharma Shastra

In Ayurveda, Swarna (gold) Bhasma in different formulations has been administered to patients as a therapeutic agent for several clinical disorders including respiratory disorders, rheumatoid arthritis, diabetes mellitus and nervous system diseases. It is one of the metals which is even indicated since the birth. Parapati Kalpana is well known and successfully used preparations for the management of Grahani Roga. Swarna Parpati is one of the formulation of Ayurveda which comes under Parpati Kalpana. This article has reviewed Swarna Parpati from different classics with special reference to book Aushadhi Gundharma Shastra of Acharya Gune Shastri