A Grey Wolf Intelligence based Recognition of Human-Action in Low Resolution Videos with Minimal Processing Time

The usage of video cameras for security purposes has grown in recent years. The time for recognition of human plays an important role in solving many real time problems. In this paper, the process for identifying human action is done by separating the background using local binary pattern (LBP) and features extracted using faster histogram of gradients (FHOG) and Eigen values based on power method. The features are combined and optimized using grey wolf optimization (GWO) and finally classified using support vector machine (SVM). The experimental results are compared with existing methods in identifying the human action. The time factor is evaluated and compared with different optimization techniques like particle swarm optimization (PSO), Firefly algorithm (FA) and grey wolf optimization. The entire process is performed on three well known datasets like VIRAT dataset, KTH dataset and Soccer dataset. The comparison results prove that the recognition is done in quick time i.e. 10.28sec with improved rate of accuracy 93.35% for soccer dataset using proposed method

A Novel estimation and Correction of Channel errors in LTE SYSTEMS

The increase in the number of RF devices and the requirement for large data rates places major role in increasing demand on bandwidth. This necessitates the need for RF communication systems with increased throughput and capacity. MIMO-OFDM is one way to meet this basic requirement. OFDM is used in many (WCD) wireless communication devices and offers high spectral efficiency and resilience to multipath channel effects. Though OFDM is very sensitive to synchronization errors, it makes the task of channel equalization simple. MIMO utilize the multiple antennas to increase throughput without increasing transmitter power or bandwidth. This project presents an introduction to the (MPC) multipath fading channel and describes an appropriate channel model. Many modulation schemes are presented (i.e. BPSK, QPSK, QAM) that are often used in Conjunction with OFDM. Mathematical modeling and analysis of OFDM are given along with a discrete implementation common to modern RF communication systems. Synchronization errors are modeled mathematically and simulated, as well as techniques to estimate and correct those errors at the receiver accurately

The Power of Predictions and Probabilities

Monsoon rainfall in India varies every year, and distribution is uncertain. This poses a production risk for farmers in the semi-arid India. Farmers tend to ignore rainfall forecasts issued by the Indian Meteorological Department (IMD) while making crop decisions since they are made for the whole country, and could be unreliable regionally. Recent advances in forecasting techniques improve the usefulness of forecasting seasonal rainfall. Farmers in USA, Australia, Argentina and Brazil benefit from forecast-based cropping decision options to enhance agricultural productivity.............

Neem: the Bitter Truth

The insecticidal properties of plants have been known through the ages. In recent years botanical insecticides have played a critical role in the management of several insect pests. However, they have not been fully exploited on a commercial scale. Neem (Azadirachta indica) has been the focus of studies for over 20 years, and neem products are used as pesticides and allied chemicals against >250 insect species all over the world

Redheads beware

The red hairy caterpillar (RHC), Amsacta albistriga, is a pest of several rainy season crops in Asia. The RHC infestation is sporadic, but the devastation is widespread. Due to the prolonged diapause, larval migratory behavior and irregular adult emergence, chemical protection alone is not sufficien

World review of the natural enemies and diseases of Spodoptera litura(F.)(Lepidoptera: Noctuidae)

Published information was used to compile a summary of natural enemies(parasitoids, predatorsand diseases) reported attacking Spodoptera litirra (F) under field conditions. Species (71) of insect parasitoids in seven families of Hymenoptera and two families of Diptera were listed as parasitoids of difTerent stages of S. litura. Predatory insects (36) belonging to 14 families and 12 species of spiders from six families have been reported to feed on this species. Four prolozoan, four fungal, seven bacterial, four each of viral and nematode species were also reported to be the pathogens of this species. Published information suggested that periodic releases of large number of egg parasites could help in suppressing populalions of this pest. There is a considerable scope for increased attention to the role of natural enemies as component of integrated pest management programmes of S. litura

Threshold Temperatures and Thermal Requirements for the Development of Spodoptera litura (Lepidoptera: Noctuidae)

Developmental thresholds and thermal requirements for different stages of Spodoptera litura (F.) fed on groundnut leaves were determined under constant laboratory conditions and in the field. An average of 64 degree-days (DD) above a threshold of 8°C was required from oviposition to egg hatch; the larval period required 303 DD and pupal stage 155 DD above a 10°C threshold; females needed 29 DD above a 10.8°C threshold from emergence to oviposition. Fifth and sixth instars accounted for about 50%of the total larval requirement under laboratory and field conditions. The response of various stages of S. litura to temperatures under constant laboratory conditions was similar to that under field conditions. The upper developmental threshold temperature of all stages was 37°C; 40°C was lethal

A Novel Approach for Extraction of Design Features Using DXF Files

Feature recognition is the key linking element between CAD and CAPP. Different CAD/geometricmodeling packages store the design related information in their own databases. Structures of thesedatabases are different from each other. Automatic Feature Recognition (AFR) is the process ofextracting such feature data for use in the other stages of product life cycle viz., process planning,CNC code generation and inspection etc. This paper presents different algorithms to extract thedesign data stored in the form of Data Exchange Format (DXF) files and to store such data in anorderly form. . A software program is developed in ‘C++’, for extraction of the features (entity)data from the DXF file. The flow chart of the program is given as an appendix. The paperdemonstrates the working of the algorithms using a set of examples

Status of IPM in Indian Agriculture: A Need for Better Adoption

Insect pests are well recognized as one of the major limiting factors in enhancing and sustaining agricultural production in India. Recent improvements from research brought considerable change in the cropping systems and allowed farmers to grow several crops throughout the year, which were very seasonal in the past. This also brought significant shift in the insect population dynamics and change in the status of several insect pests. Recent interactions with the farming communities revealed that 93% of the farmers in India had adopted chemical control, 51% farmers get their plant protection advice from dealers, while 22% from extension officials and majority of the farmers (73%) initiate the plant protection based on the first appearance of the pest, irrespective of their population, crop stage, and their damage relationships. The cost of plant protection on various crops ranged from 7 to 40% of the total crop production cost. Though integrated pest management (IPM) has been advocated for the past two decades, only 3.2% of the farmers adopted IPM practices in various crops. IPM research in the past decade brought out changes in the farmers’ attitude in pest management, which resulted 20100% reduction in pesticide use in different crops. The recent farmer participatory approach working in a consortium mode proved very effective in the exchange of technology. Though the results are encouraging, there is a need to further strengthen the IPM adoption in Indian agriculture through increased investments in both basic as well as applied research in plant protection to overcome the prevailing three evil “Rs” (Resistance, Resurgence, and Residues). To be more effective, readdressing the policies for encouraging eco-friendly options and strengthening extension, involving farmers should be considered as high priority

Bio-pesticides Research at ICRlSAT: A Consortium Model

There is an increasing pressure on agriculture to produce more food to meet the demand from the growing populations all around the world. As the demand for food production increased the need for Intensive plant protection also stepped up with increased use of toxic pesticides resulted in complex environmental, economical and operational implications. Several national, International agencies and nongovernmental organizations are presently engaged in supporting research, and application of ceo-friendly approaches that sustain plat protection and environment. ICRISAT initiated a consortium called "Bioproducts Research Consortium (BRC)" in Jan 2005. BRC is a public and private sector partnership initiative, focused on delivering research outputs, capacity building and technologies leading to mass-scale production of quality bio-products. The microbial collection at ICRISAT has over 2000 accessions that includes promising entomopathogens (Bacillus subtili