One of basic issues of the sustainable development is the protection of the natural environment. Very important is the waste recycling and the introducing of green technological processes. The use of Fly Ashes (FA), from coal combustion in power plants presents a very important problem in all countries, in which the energy production is based on this fuel. Fly ashes, owing to the spherical shape of their particles, provide consistency, easy placement and compaction of fresh concrete. Phosphogypsum (PG) is a waste product generated by the chemical industry during phosphoric acid production. The processing of PG waste was carried out in waste-free manner by heat treatment with mixing. Biopolymers (BP) were formed on the basis of epoxy resin and fillers in the form of starch or cellulose waste. The study concerned development of composites based on waste FA, PG and BP. Constant Magnetic Field (CMF) characterised by magnetic induction value B = 1 T was an additional parameter improving, under specific conditions, the physical properties of the resultant composites. With respect to absorbability of the tested samples, as a result of exposure to CMF their weight changed by 7,4 % for composites. With respect to flexural strength of the tested samples is concerned, CMF processing caused a change of 11,9 % for homogeneous materials (cement) and of 7,0 % for composites. With respect to compressive strength of the tested samples, CMF processing caused a change of 6,6 % for homogeneous materials (cement) and of 4,6 % for composites. One can apply new composites as: building materials, substructure of the ground, concealed installation insulation layer and polymer materials.

Generation Expansion Planning (GEP) aims to determine the least cost capacity expansion plan to meet forecasted demand inward a pre-defined reliability criterion and emission constraint over a planning horizon. This paper presents the application of Differential Evolution (DE), Opposition-based Differential Evolution (ODE) and Self-adaptive Differential Evolution (SaDE) algorithms to GEP problem, where the power generating system of an Indian state Tamil Nadu is taken as study region. GEP problem has been solved for short-term (6-years) and long-term (12-years) planning horizon by considering least-cost, reliable supply and lowest emission to the environment using DE, ODE and SaDE also validated by Dynamic Programming (DP). GEP problem is solved for seven diverse cases such as, Case 1: Base case, Case 2: GEP with Energy Conservation (EC), Case 3: GEP with high penetration of Renewable Energy Sources (RES), Case 4: GEP with penalty costs on emissions from high emission plants (HEP), Case 5: GEP with energy storage technologies (EST), Case 6: Combination of Cases 2, 3&4 and Case 7: Combination of Cases 2, 3, 4&5. The results simultaneously provide the type and capacity of each type of power plant need to be expanded in each year of the planning horizon at least cost.

The job-shop scheduling issues The Job Shop Scheduling Problem (JSSP) has created as a standout among the most captivating arranging models now in vogue which is concerned with the hardest combinatorial change issues. In this paper considered two unique destinations that is make span time and tardiness work, utilizing enlivened hybrid Grey Wolf-Chicken Swarm Optimization algorithm models. The most extraordinary completion (makes pan), and the tardiness are considered in the meantime. In the proposed figuring, a couple of prior standards are shown to assemble the hidden people with a strange condition of significant worth. The hybrid algorithm count relies on upon the re-enactment of the swarming behavior of wolves’ individuals. The base detachments of each individual wolves and swarms from sustenance and from most bewildering thickness of the group are considered as the objective work for the improvement. The results show that proposed hybrid Optimization algorithm can accomplish good optimization results in terms various iteration levels of both optimization accuracy and robustness also easily applied in real industrial conditions and for large size problems. proposed method consumes 3.86s for 1000 iteration compared with GA (28.72s) and ACO (26.06s), proposed method was very less time period and cost for 6 machines to complete 16 jobs.

This work presents the 70V/18V non-isolated bidirectional DC-DC converter for maintaining uninterruptable power flow in solar PV applications. The open loop simulation analysis of the converter with step up and step down mode is presented using MATLAB/SIMULINK software. Finally, the prototype model of the converter is developed and tested in the laboratory. This converter has the advantages of high voltage gain, high step up/step down voltage conversion ratio, maximum conversion efficiency, having less number of switches and Low voltage stress across switches.

Introdução: A presença de morcegos nas áreas urbanas é cada vez mais comum, gerando reclamações aos órgãos de controle de zoonoses. Método: foi efetuado levantamento das reclamações ao Centro de Controle de Zoonoses de Niterói, RJ, no período 2014-2015. Avaliou-se o tempo para a primeira tentativa de visita, o tempo efetivo para a realização da primeira visita, a distribuição espaço-temporal das reclamações, ocorrência de espoliação, tipo de abrigo utilizado e a presença de morcego, vivo ou morto. Resultados: houve aumento na quantidade de reclamações entre 2014 e 2015. A região Praias da Baía teve o maior número de reclamações. Houve melhora no prazo entre a reclamação e a primeira tentativa de visita zoossanitária e entre a reclamação e a efetivação da primeira visita, mas esses ainda são excessivamente longos. Nas regiões mais próximas a visita zoossanitária foi mais rápida e na região mais distante, mais demorada. Apesar do relato de um caso em humano, a espoliação predominou nos demais animais. O principal motivo para reclamação foi a utilização do forro dos telhados como abrigo. Conclusão: A situação encontrada é preocupante quando se considera que acidentes envolvendo morcegos são sempre graves e pela circulação do vírus da raiva no município.

Abstract: The mobile nodes are generally focused for path selection, but path is not perfectly predicted by sender node, it transmitting the data packets continuously. Genuine time routing is difficult for normal path selection scheme, because unfortunately the nodes behavior is changed, it block data packets, and blocks the time, when transmitting data packets. It obtains the inefficient communication. It increase packet loss rate, and reduces network lifetime. So, proposed Efficient routing for unpredictable path (ERUP) method is used to achieve effective communication in mobile network, the current path status is analyzed and after that assign the routing path. Routing path is judged easily by this methods. This does not block data flow and time. Multirate leveraging situation analyzer algorithm is constructed, it analyze the leveraging condition of routing path nodes in various rates, such that rates are resources utilization of nodes. It increase network lifetime and minimize packet loss rate