El pensamiento utópico y la práctica comunitaria: Roben Owen y las comunidades owenianas

Sin resume

Detection techniques of selective forwarding attacks in wireless sensor networks: a survey

The wireless sensor network has become a hot research area due its wide range of application in military and civilian domain, but as it uses wireless media for communication these are easily prone to security attacks. There are number of attacks on wireless sensor networks like black hole attack, sink hole attack, Sybil attack, selective forwarding attacks etc. in this paper we will concentrate on selective forwarding attacks In selective forwarding attacks, malicious nodes behave like normal nodes and selectively drop packets. The selection of dropping nodes may be random. Identifying such attacks is very difficult and sometimes impossible. In this paper we have listed up some detection techniques, which have been proposed by different researcher in recent years, there we also have tabular representation of qualitative analysis of detection techniquesComment: 6 Page

A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating

An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard. While Extended Kalman Filters have been used for this purpose, the choice of the process noise covariance is generally unclear. In this chapter, we address this issue for biomolecular systems using a combination of Monte Carlo simulations and experimental data, exploiting the dependence of the process noise covariance on the states and parameters, as given in the Langevin framework. We adapt a Hybrid Extended Kalman Filtering technique by updating the process noise covariance at each time step based on estimates. We compare the performance of this framework with different fixed values of process noise covariance in biomolecular system models, including an oscillator model, as well as in experimentally measured data for a negative transcriptional feedback circuit. We find that the Extended Kalman Filter with such process noise covariance update is closer to the optimality condition in the sense that the innovation sequence becomes white and in achieving a balance between the mean square estimation error and parameter convergence time. The results of this chapter may help in the use of Extended Kalman Filters for systems where process noise covariance depends on states and/or parameters.Comment: 23 pages, 9 figure

Studies on nickel (II) and palladium (II) complexes with some tetraazamacrocycles containing tellurium

The synthesis of 10-membered and 12-membered tellurium containing tetraazamacrocyclic complexes of divalent nickel and palladium by template condensation of diaryltellurium dichlorides, (aryl = p-hydroxyphenyl, 3-methyl-4-hydroxyphenyl, p-methoxyphenyl) with 1,2-diaminoethane and 1,3-diaminopropane in the presence of metal dichloride is reported. The resulting complexes have been subjected to elemental analyses, magnetic measurements, electronic absorption, infra-red, and proton magnetic resonance spectral studies. The formation of proposed macrocyclic skeletons and their donor sites have been identified on the basis of spectral studies. Distorted octahedral structure for the nickel complexes in the solid state and squareplanar structure for the palladium complexes have been suggested

Human Face Recognition and Detection

Human face detection and recognition play important roles in many applications such as video surveillance and face image database management. In our project, we have studied worked on both face recognition and detection techniques and developed algorithms for them. In face recognition the algorithm used is PCA (principal component analysis), MPCA(Multilinear Principal Component Analysis) and LDA(Linear Discriminant Analysis) in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as give information regarding the person recognized. These techniques works well under robust conditions like complex background, different face positions. These algorithms give different rates of accuracy under different conditions as experimentally observed. In face detection, we have developed an algorithm that can detect human faces from an image. We have taken skin colour as a tool for detection. This technique works well for Indian faces which have a specific complexion varying under certain range. We have taken real life examples and simulated the algorithms in MATLAB successfully

Effect of micronutrients on leaf composition, fruit quality and yield of Kinnow mandarin

Effect of micronutrients on leaf composition, quality parameters and fruit yield of Kinnow mandarin was studied at Regional Research Station, Abohar. Foliar application of 1000 ppm Zn + 1000 ppm Mn on Kinnow mandarin during the end of April and mid of August gave maximum fruit yield (862 fruits / tree) and good quality fruits (Higher TSS/Acid: 14.23) by correcting these micronutrient deficiencies. Therefore, application of this dose of micronutrient combination will improve yield and fruit quality in Kinnow mandarin by correcting the deficiencies of these micronutrients as a result of which the orchardist will be economically benefited

Role of Information and communication technology (ICT) in agriculture and extension

Information and communication technology (ICT) aids provide up-to-date information on the market prices of commodities, inputs and consumer trends which ultimately can improve a farmer's negotiating position and their livelihood. Major aspect of ICT is that accurate information should reach the farmers at the right time to make more sustainable use of on-farm resources. Now the question arises that how this information can be disseminated to such a diverse group of the farming community. ICT is going to play greater role in agricultural extension as well as private sector agribusiness, market information and market intelligence. Here this paper review the role of ICT not only in providing greater awareness and knowledge in agriculture technology and information but also in terms of farmer’s attitudes towards trying to adopt new technologies

Synthesis and characterization of divalent metal complexes of the macrocyclic ligand derived from isatin and 1,2-diaminobenzene

A novel series of complexes of the type [M(C28H18N6)X2], where M=Co(II), Ni(II), Cu(II) or Zn(II) and X = Cl-, NO3- or CH3COO-, were synthesized by template condensation of isatin and 1,2-diaminobenzene in methanolic medium. The complexes were characterized with the help of various physico–chemical techniques, such as elemental analyses, molar conductance measurements, magnetic measurements, and NMR, infrared and far infrared spectral studies. The low value of molar conductance indicates them to be non-electrolytes. Based on various studies, a distorted octahedral geometry may be proposed for all the complexes. All the synthesized macrocyclic complexes were also tested for their in vitro antibacterial activity against some pathogenic bacterial strains. The MIC values shown by the complexes against these bacterial strains were compared with those of the standard antibiotics linezolid and cefaclor. Some of the complexes showed good antibacterial activities

Genetic variation and heritability estimation in Jatropha curcas L. progenies for seed yield and vegetative traits

In this study, experiment was conducted on sandy loam soils poor in organic carbon and water holding capacity in southern Haryana, India to determine the best progenies of Jatropha curcas for bio-diesel production. Fifty progenies raised from seed sources collected from nine states of India were evaluated after five years of plantation for growth, seed and oil content traits. The progenies showed significant (P> 0.05) differences for all the traits studied. Maximum seed yield/plant (879.37 g), number of capsules/plant (522.67) and plant height (408.33 cm) was recorded in P-44. Maximum oil content observed in P-37 (36.08%) followed by P-5 (35.64%). The magnitude of phenotypic coefficient of variation (PCV) was higher than the corresponding genotypic coefficient of variation (GCV) for all the characters studied. Heritability was highest for oil content (95.49%) and 100-seed weight (87.75%) followed by seed yield (75.54%). Total capsules/plant exhibited highest genetic advance (92.69%) followed by number of branches per plant (64.32%). Hierarchical Euclidean cluster analysis of all 50 progenies using D2 statistics was done where the D2 analysis grouped the progenies into five clusters. The intra cluster distances ranged from 1.33 to 2.72. The maximum inter-cluster distance was observed between cluster II and V (6.43) followed by I and V indicating greater divergence among progenies belonging to these clusters and an attempt to cross the progenies in these clusters should bring out desirable gene combinations. These progenies showed considerable potential which can be tapped for planting and selecting the improved varieties