શ્રેણી આઠના વિજ્ઞાનના વિવિધ એકમોના અધ્યાપન માટે બહુમાધ્યમ સંપુટની સંરચના અને તેની અસરકારક્તા

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Enhancing network lifetime with an improved MOD- LEACH

Wireless sensor network will be the most dominating field in future era. There are certain issues which wireless sensor network suffers from. The main concern with wireless sensor network is limited energy which directly impact on network lifetime. In this paper we modify the cluster selection procedure of MODLEACH. MODLEACH protocol use threshold value for selecting cluster head. Once a cluster head is selected, it retains its position until it bypasses the threshold limit. In Basic LEACH, it does not use any threshold value but it randomly selects cluster head from the available nodes. We combine the probabilistic nature of LEACH to select the cluster head and threshold base selection of cluster head of MODLEACH. We also apply proposed modification in EAMMH protocol. Our main focus is on the enhancement of network lifetime, and we got significant improvement in network lifetime

A Comparative Analysis of Optimization Algorithms for Wireless Sensor Network

As we know that next era will be of IoT (Internet of things). According to cisco, one of the giant in Networking filed, in 2008 the n umber of thing connected to the internet was greater than the number of people living on the Earth. By 2020 that number will increase up to 50 billion. That clearly indicates that we all are surrounded by the sensors. So, the Wireless Sensor Network (WSN) will be the important part of our life in future. The sensor node is equipped with very small power supply. Failure of WSN or a single node of that network will cause for a serious effect on an operation, especially when WSN is used in critical application like military, healthcare monitoring etc. So power conservation is the biggest issue in WSN. Different kind of optimization algorithm used to get optimal output at each and every possible phenomenon where we can save the power. Routing and sensor deployment are two main issues where we can get fruitful output using optimization algorithm. This paper gives the brief detail of optimizing in WSN at different phenomenon

Challenges of WSNs in IoT

IoT and WSNs are the prime moving force for technology in the current world. WSNs unfold their capacity day by day in almost every aspect of life. IoT enables to integrate the different devices and makes it possible to communicate with each other. It makes life easier and upgrades the application’s usage to the next level. The integration of WSNs with IoT will help to reach apical of the usage of applications. The combination of WSNs and IoT will open up new doors in almost all the possible fields however the amalgamation of both the technology needs careful consideration about bringing the both on same level. The IoT is considered a mighty giant with enormous power and capability. On the other side, WSNs are miniature having limited resources but the tremendous capability to penetrate in almost every aspect of life. WSN’s limited resources are the main concern while integrating it with the IoT. The integration will make it possible to access the sensor node from any part of the world. It implies that now the sensor node is open for any heterogeneous internet user in the world. It will cause a security issue. Moreover, the topology and addressing of WSNs are different from the normal internet which needs to be addressed during the integrations. And there are other challenges too which we discussed in depth in this chapter

High temperature magnetic ordering in La2RuO5

Magnetic susceptibility, heat capacity and electrical resistivity measurements have been carried out on a new ruthenate, La2RuO5 (monoclinic, space group P21/c) which reveal that this compound is a magnetic semiconductor with a high magnetic ordering temperature of 170K. The entropy associated with the magnetic transition is 8.3 J/mole-K -close to that expected for the low spin (S=1) state of Ru4+ ions. The low temperatures specific heat coefficient g is found to be nearly zero consistent with the semiconducting nature of the compound. The magnetic ordering temperature of La2RuO5 is comparable to the highest known Curie temperature of another ruthenate, namely, metallic SrRuO3, and in both these compounds the nominal charge state of Ru is 4+.Comment: 16 pages, 6 figures, To be published in Solid State Communication

Magnetocaloric effect in R2Ti3Ge4 (R = Gd, Tb and Er) Compounds

Heat capacity of polycrystalline R2Ti3Ge4 (R = Gd, Tb and Er) compounds (Orthorhombic, Sm5Ge4-type, Space group Pnma) has been studied in the temperature range of 1.8 K to 300 K in various applied magnetic fields. The compounds with magnetic lanthanide elements show interesting low field magnetism intrigued by possible presence of competing antiferromagnetic and ferromagnetic interactions. The magnetocaloric effect in these compounds is estimated from the field dependent heat capacity data. The magnetic entropy change and the adiabatic temperature change in the vicinity of the magnetic transition are found to be significant.Comment: 12 pages incl 3 figures, submitted to Journal of Applied Physic

Magnetoelectricity at room temperature in Bi0.9-xTbxLa0.1FeO3 system

Magnetoelectric compounds with the general formula, Bi0.9-xRxLa0.1FeO3 (R =Gd, Tb, Dy, etc.), have been synthesized. These show the coexistence of ferroelectricity and magnetism, possess high dielectric constant and exhibit magnetoelectric coupling at room temperature. Such materials may be of great significance in basic as well as applied research.Comment: 11 pages of text and figure