Experiments on polyculture of pike, Esox lucius, with carps

The Goal of project implementation was survey of biological roles of Northern pike, Esox lucius, in decreasing of Coarse fish and other un economics organisms in carps ponds and also increasing of final crops in hectare and determination of Suitable ration of pike in ponds. This project implemented by 5 treatment with 3 replicates for every ones in 2 years. The pike density was 200, 350, 500 and 650 fish individuals per hectare for 1, 2, 3 and 4 treatment, respectively, and fifth treatment was without pike. The treatments of 1 and 3 conducted in first year and other in second year of test period. At first, about 26 brooders Caught from Anzali Lagoon, and reproduced by artificial and semi - natural methods in Sefidroud Fisheries Research Station in 12–14 °c temperature. Produced larvae reared in earthen ponds and fries reached to weight of 10 -12 g after 45 days. Mean weight, length and survival rates of fish was 12.27 and 32.5 g, 11.44 and 15.83 cm, and 40 and 21% after 45 and 60 days, respectively. The carp density in ponds was 3500 fish individuals per hectare and stocking rates were 55 % silver carp, 20 % common carp, 10 % bighead carp and 15 % grass carp. In throughout of the experiment period, physico– chemical factors measured and plankton (phyto and zoo), benthos, un wanted fish and other organisms investigated. The biomass of unwanted fishes reduced to 76/81 and 60/6 % in first and second year of experiments respectively. The results showed that Esox lucius had effect in increasing of objective fish produce about 17.9 % and 3.9 % in first and second period of project implementation respectively. The average of fish produce in pond unit (2400 m^2)was 842 kg (3508 kg/ha ), 825 kg (3439 kg/ha) and 776 kg (3232 kg/ha) in first , second and control treatments first year of test period , and also in second year was 865 kg (3603 kg/ha), 877 kg (3652 kg/ha) and 848 kg (3531 kg/ha) in second , fourth and control treatments , respectively. A significant different found in final weight mean of common carp between treatments and Control ponds (P <0/05), as the weight of common carp in treatments ponds was 220 % in first year and 191 % in second year more than control pond. In end of the trial, the mean weight of Esox lucius was 265 ± 74, 276 ± 104, 159 ± 33 and 265 ± 89 g in 1, 2, 3 and 4 treatment, respectively. Survival rate of Northern pike in 1 to 4 treatment was 43.8, 55.2, 40 and 35.6 %, respectively

The survey of Khandaghloo dam reservoir of Mahneshan city of Zanjan province

Reservoirs are one of the most constructions for control and water supply for different usage that could have various social an economical effects. The Khandaghloo dam reservoir with area of 100 ha located in Mahneshan city of Zanjan province and related to Parichay river watershed. Khandaghloo reservoir is valuable water body that the aim of its establishment was supply of water for agriculture farms. The reservoir has been studied for responsible and sustainable fisheries exploitation proposes. Results showed that the reservoir categorizes as eutroph to super eutroph based on different indices.Also phosphorous is limiting factor of the water body.Totally 42 genera from 6 phyla including green-blue algae cyanophyta, diatoms (Bacillariophyta), green algae, chlorophyta, euglenophyta, pyrrophyta and xanthophyta has been identified and cyanophyta was the dominant group that comprise 74.3 % of phytoplankton population. The zooplankton of the reservoir comprised 4 phyla and 20 genera. 1 genera of the protozoa and rhizopoda, 1 genra of the ciliophora ,15 genera of rotatoria, 2 genera of cladocera has been identified in zooplankton communities. Tubificidae and chironomidae has been identified in all months of the survey. The mean total length of crayfish was 130.5±20.5 mm ( 636) and mean weight was measured as 69.4±34.1 g with maximum and minimum weight of 1.9 and 207.2 g respectively .Total biomass of crayfish in Khandaghloo reservoir estimated as 3.4 tones with a range of 1.1–5.7 tones. But it is recommended not to harvest for at least two year due to high mortality of the populations.The fishes of the reservoir comprised common carp Chinese carp (silver carp, big head and grass carp) (released), Caspian kutum (accidentally released by fishery sector) and some endemic species as Siamahii. The catch of the reservoir fluctuated between 8 to 26 tones during 2000-2010.The fish production of Khandaghloo reservoir ranged from 167 to 324 kg/ha based on different methods that by consideration of 100 ha area of the reservoir, the total production of fish fluctuated between 16.7 to 32.4 tones. The fingerling restocking of Chinese carp in Khandaghloo reservoir with density of 1500 fingerling/ha recommended as 68% of phytoplanktonivorous fish (silver carp) ,12% zooplanktonivorous fish (big head), 6.6% of Crass carp and 10% of benthophagous fish (common carp)

Study of Golabar dam reservoir in Zanjan province (Zanjan Province)

The limnological study of the Golabar dam showed that in the Glabar dam inspite of bing its early establishment due to high nutrient and organic matter is located in eutrophic stage. the pH as well as bicarbonate levels shows that buffering capacity of the lake is high and the value of inorganic and organic matter measured are not considered as limiting factor for warme and cold water aquaculture. In the plankton survey 44 species of phytoplankton and 25 species of zooplankton were identified. Cyclotella , Nitzschia, Synedra and Trachelomona from phytoplankton and Polyarthera , Keratella , Filinia , Pompholyx from zooplankton were the dominant spicies.the Bacillariophyta from phytoplankton with 76.5 percent and Rotatoria zooplankton to with 76.2 percent considered the highest abundant . The average frequency of phytoplankton and zooplankton were 5*106 and 723 individual per litter. The Shironomide and Tobificide were the only two bentic group were identified in reservoir wehre their mean frequced were 293.75 and 224.30 respectively. The average biomass of bentic organism were 1.44±0.97 gr/m2.In the survey 12 species of fishes were identified. The potential natural production have been estimated to be 2.8 to 15.5 kg for bentivorous fish and varied from 53 to 175 kg /hec for plankton consumer fishes .The low temperature in several months as well as ice covered of the lake surface in particular in the months of duty and Bahman are the limiting factor of either warm or cold water fish production

Using concurrent Hidden Markov Models to analyse human behaviours in a smart home environment

This paper addresses learning and recognition of human behaviour models from multi-modal observations in a smart home environment. The proposed approach successfully implements concurrent Hidden Markov Models that identify the occurring situation. This approach corresponds to the highlevel part from a framework to obtain high-level classification of human behaviour analysis. The results were obtained for a smart home environment, where cameras, microphones and a PMD sensor were deployed. The sensory information was first fed to the low-level classification stage, where it was analysed by four different classifiers which generate the observations to the high-level classification stage. For each situation an HMM is used, allowing the fusion of the data provided by the different sources present in the low-level classification stage. This approach proved to be highly scalable, since the recognition of new situations can be accomplished by means of adding the adequate HMM

Probabilistic LMA-based human motion analysis by conjugating frequency and spatial based features

This paper presents an approach to analyse human motions using Laban Movement Analysis (LMA) system. LMA is a known descriptor for analysing human body motion by using different components that it has. We attempt to present how the frequency and spatial-based features can be applied in LMA concepts, and then we present that how the conjugating of these two kinds of different domains features can be fused by a Bayesian Network (BN). The point is that, the human motions based on the type of body parts motion, can be recognized by some aspects or features better than the others. By combining those different aspects (LMA components) or features, more precise estimation for more various human motions can be obtained. The results approve that our idea to recognize human motion is very successful