Training fisherwomen in fish processing

A project on training fisherwomen for their participation in rural development, sponsored by Ford Foundation (U.S.A), has been started by the Centre for Agricultural and Rural Development Studies, T.N AU.,at the Fisheries College, Tuticorin. The project alms to select a few literate rural women with leadership qualities for Imparting to them a training In the organisational and managerial aspects of a viable fish processing enterprise. It also alms to assist the trained fisherwomen in organising and operating cottage industries by continued technical backing and thus making the production units demonstration centres for the benefit of other women In the region. The preliminary survey helped in identifying 5 candidates from each of the 3 selected villages. The pre-survey revealed the respondents' choice of subject-areas to undergo training and their enthusiasm to learn techniques for the preparation of fish products like fish pickle and MasI Meen. It also revealed their desire to be exposed to new products like fish wafers, fish oil, fish meal, shark fin-rays etc. The pre- and post evaluations of the training programme helped In I) identifying training needs In the fields of marketing and financial management; II) Identifying some low-cost technological substitutes for some of the commercial products (eg: 'Gadi' for vineger); ill) identifying the products or techniques appreciated by the trainees and the products or techniques that received lukewarm response with reasons for such a response: Iv) Identifying the level of managerial efficiency gained by the trainees and the kind of support required for each Individual to start cottage industries. The programme Is being followed up by Interpersonal contacts and the co-ordinate efforts of the development departments

PFU: Profiling Forum users in online social networks, a knowledge driven data mining approach

Online Social Networks (OSNs) provide platform to raise opinions on various issues, create and spread news rapidly in Online Social Network Forums (OSNFs). This work proposes a novel method for Profiling Forum Users (PFU) by exploring their behavioral characteristics based on their involvement in various topics of discussion and number of posts in respective topics posted by them in OSNFs dynamically. Modeling the proposed method mathematically, the PFU algorithm is illustrated for its adequacy and accuracy

Time-of-Flight Photon Spectroscopy: A Simple Scheme To Monitor Simultaneously Spectral and Temporal Fluctuations of Emission on Single Nanoparticles

Here we report on a novel scheme for spectral analysis that exploits the wavelength dependence of the time-of-flight of a photon in a dispersive medium. This versatile and cost-effective method, named time-of-flight photon spectroscopy (TOFPS), has the major advantage of being compatible with time-correlated single-photon counting experiments. Consequently, each photon acquired during an experiment is characterized by two parameters, its absolute time of arrival and its color, respectively. As a result, the spectral and temporal fluctuations of the emission of a single nano-object can be derived from a single measurement. As a proof of the concept, we demonstrate in the paper that the method can be used to perform Raman spectroscopy as well as fluorescence spectroscopy. We emphasize that TOFPS proves to be very efficient for improving signal-to-noise ratio in fluorescence correlation spectroscopy measurements by subsequent spectral filtering and to record luminescence spectra from single metallic particles. We demonstrate that the opportunity of simultaneously recording spectral and temporal fluctuations could be used to sort particles of different shapes inside a sample. TOFPS furthermore allows developing a new type of time interval distribution analysis which correlates the time interval between two photons and their corresponding color shift. It is applied to the analysis of the two-photon excited luminescence of a single gold nanorod. This method has a potential for a broad range of applications, among which time-resolved SERS spectroscopy and analysis of the dynamics of emission processes can be handled with new statistical approaches based on the correlation of spectral and temporal fluctuations

Research and development in marine fisheries extension in Tamil Nadu

improvement In the standard of living of fishing households and fishing labor households and optimal utilisation of fishery resources for employment, production and export are the Important goals of marine fisheries extension service. Despite ttie increasing attention of the Government to fisheries extension work, majority of fisherfolk are caught In a vicious cycle of poverty and indebtness. The paper analyses the present strategies of fisheries extension service In Tamil Nadu, Identifies the pitfalls and lists suggestions for Improving the efficiency of fisheries extension work In the state. The extension teaching methods used for Individual contact, group contact and mass contact, the sul)Ject-matter fields covered In extension teaching with their relative Importance. The characteristics and extension personnel, research support provided, coordination among the various agencies Involved and participation of the clientele and their organisations are analysed and discussed. The analysis helped identifying the major Impediments to success of extension efforts. The analysis provided a tasks for evolving future extension strategies focussed on marine fisheries development. It provides suggestions in term of personnel requirement, effective extension methods, thrust areas among different subject matter- fields, co-ordination among organisations concerned with marine fisheries and extension research support. The recommendations will be of use to the organisations concerned with fisheries extension In their approach to tone up the service of fisheries extension

Bioaccumulation Pattern of Heavy Metals in Solanumlycopersicum Co-Inoculated with Red Worm Eiseniafetida

The presence of heavy metal in the environment has been increasing with the increasing anthropogenic activities. The following study observes the bioaccumulation activities of Solanumlycopersicum, Eiseniafetida and a combined set-up containing both. The metals used for the particular study includes lead, mercury, chromium and cadmium. It was observed that each heavy metal has a particular pattern of accumulation as well as this pattern being affected when in the combined set up containing both Solanumlycopersicum and Eiseniafetida. In the end the combined set up was more efficient in bioaccumulating heavy metals from the contaminated soil

One-photon excited luminescence of single gold particles diffusing in solution under pulsed illumination

Here we report on the visible luminescence of single gold nanospherical particles diffusing in water excited by a pulsed-laser at 488 nm. The signal studied by fluorescence correlation spectroscopy does not display the expected characteristics. The main deviation is obtained for the diffusion time that depends on the laser irradiance. Additional advanced methods of measurements have been implemented to further characterize the emission. These methods have allowed us to demonstrate that the luminescence does not blink even in the picosecond domain and that it does not photobleach either. The comparison between the signals obtained under pulsed and continuous excitations at the same wavelength suggests that the increase in the particle temperature plays a role in the non-linear increase in the luminescence intensity with the excitation power. As in the case of two-photon excited luminescence, it implies that a model describing the luminescence process for a single particle diffusing in liquid must take into account the whole system composed of the gold particle, the capping ligands and the surrounding water

PIB: Profiling Influential Blogger in Online Social Networks, A Knowledge Driven Data Mining Approach

AbstractOnline Social Networks (OSNs) facilitate to create and spread information easily and rapidly, influencing others to participate and propagandize. This work proposes a novel method of profiling Influential Blogger (IB) based on the activities performed on one's blog documents who influences various other bloggers in Social Blog Network (SBN). After constructing a social blogging site, a SBN is analyzed with appropriate parameters to get the Influential Blog Power (IBP) of each blogger in the network and demonstrate that profiling IB is adequate and accurate. The proposed Profiling Influential Blogger (PIB) Algorithm survival rate of IB is high and stable

UP3: User profiling from Profile Picture in Multi-Social Networking

Abstract: Profiling Online Social Network (OSN) Users by matching their Profile Pictures in Multi-Social Networking requires their own frontal face images in consideration. Present State-of-the-Art algorithms are ineffective in detecting mouth and nose on the face, making it inefficient to be used in matching different faces by localizing their facial features. This work proposes a novel approach to improve the effectiveness and efficiency of face detection by bifurcating the detected face horizontally and vertically. The algorithm runs only on the portion of the detected face Bounded Box (BB) to generate bounded boxes of other facial objects, and later the Euclidian distance between the BBs with respect to that of the face is computed to get Logarithm of Determinant of Euclidian Distance Matrix (LDEDM) in Relative-Distance method and stored in the database. The LDEDM so computed is unique for the user image under consideration and is used for the purpose of matching the identity of the user images from the database. The Equal Error Rate (EER) is considerably low with the proposed User Profiling from Profile Picture (UP3) algorithm indicating better performance

RDUP3: Relative Distance based User Profiling from Profile Picture in Multi-Social Networking

User Profiling in Online Social Network (OSN) requires the frontal photographs of the users as thier Profile Pictures in Multi-Social Networking. The existing algorithms are ineffective in detecting the facial features like eyes, mouth and nose on the face appropriately, making it inefficient. This work proposes a novel approach to efficiently detect the facial features and improve the effectiveness of face detection and recognition by bifurcating the detected face horizontally, vertically and cropping it. The algorithm is effectively run only on the portion of the detected face Bounded Box (BB) and area to generate bounded boxes of other facial objects and later the Euclidian Distance (ED) between those BBs with respect to that of the face is computed to get Logarithm of Determinant of Euclidian Distance Matrix (LDEDM) in Relative-Distance (RD) method and stored in the database. The LDEDM so computed is unique for every user under consideration and is further utilized for identity matching recognizing from the database. The results show that the Equal Error Rate (EER) is considerably low indicating accurate threshold fixation for better performance with the proposed Relative Distance based User Profiling from Profile Picture (RDUP3) algorithm

Ptib: profiling top influential blogger in online social networks

Online Social Networks (OSNs) facilitate to create and spread information easily and rapidly, influencing others to participate and propagandize. This work proposes a novel method of profiling Influential Blogger (IB) based on the activities performed on one’s blog documents who influences various other bloggers in Social Blog Network (SBN). After constructing a social blogging site, a SBN is analyzed with appropriate parameters to get the Influential Blog Power (IBP) of each blogger in the network and demonstrate that profiling IB is adequate and accurate. The proposed Profiling Influential Blogger (PIB) Algorithm survival rate of IB is high and stabl