Considering the practicability and simplification of space-domain pre-processing for 3D model information hiding, we present an improved carrier pre-processing using interval analysis of values on z-axis for the vertical profile of 3D models. First, the 3D model is scaled and rotated disproportionately according to fixed size and angle respectively, and the vertical profile can be obtained by horizontal mapping. Second, the vertical profile is mapped into the two-dimensional coordinate system and the values on the vertical axis can be determined using a fixed step size. Last, the vertical values are converted into binary numbers with interval constraints according to the fixed threshold. By disproportionate scaling with fixed size, the algorithm can be effective against the scaling attack. According to the fixed rotated angle and step size, the data can be embedded in redundancy of the whole model and the algorithm can be robust against cutting. The experimental results illustrate that, being satisfied the characteristic of carrier, our algorithm is of stronger robustness against the random noise under 0.2%, re-meshing and non-uniform simplification compared with similar algorithms.

The overall goal of the present study is to assess the management factors on the development of agricultural mechanization in the city of Mahabad, from the perspective of farmers in the region and in terms of methodology is a descriptive-survey research. Population in the present study consisted of all the farmers in the city of Mahabad (N = 10096) that the statistical sample size of 185 was determined by Krejcie-Morgan which was done through simple random sampling tools, material used for data collection is a questionnaire in which Cronbach\'s alpha coefficient was 75%. Agricultural Mechanization refers to applying the right policies on the use of mechanization, risk management; cooperation factors, economic factors, training courses and family education, and these factors could explain 58.7% of variance in management factors that may affect the development of agricultural mechanization.

Limiting heat losses during ventilation of indoor building spaces has become a basic aim for architects. Much experience has been gained in terms of ventilation of indoor spaces. Nevertheless, due to the complex applications, attempts to create a theoretical base for solving the problems related to the issue are limited, especially determining the minimum ventilation period required within a designated space. In this paper we have approached this matter, both theoretically and computationally. The conclusion we reached was that controlled ventilation of spaces through vent holes that successively open and close at regular time intervals can limit the excessive circulation of air masses, which in turn limits heat losses.\nAir change rates through open and tilted windows in rooms of residential buildings driven by atmospheric motions are investigated to evaluate natural ventilation concepts. Model of thermal building simulations is used. A separated sample storey and a sample single room in larger scales were used to measure air transport through window openings under the influence of the external pressure distribution.

Alcoholism is a global problem that causes many deaths. Alcohol is typically a valued commodity, which means that drinking usually uses resources which would otherwise be available for other purposes. Parental alcoholism can have serious impact on all aspects of childrens lives and to differing extents. Clinical and research evidence worldwide shows that children of alcohol abusing parents are an at-risk population for diminished intellectual capacity and development, increased emotional problems and a wide range of psychological and behavioral disorders. In Kenya, alcohol is cheap, readily available and is the most abused drug according to a research by National Campaign Against Drug Abuse. This paper reviews literature on how parents consumption of alcohol affects childrens psychosocial development. The paper is based on a proposed study in Bungoma County, Kenya. This paper specifically reviews literature on the extent of alcoholism among parents in Bungoma County, examines the effect of parental alcoholism on psychological development of primary school pupils and determines strategies to reduce the impact of parental alcoholism on psychological development of children in Bungoma County. The paper is guided by the Social Learning Theory of Albert Bandura and Erik Ericksons Theory of Psychosocial Development. The recommendations should enhance a better understanding of the impact parental alcoholism has on psychosocial development of primary school going children, for stakeholders in Education and Policy makers in the Government and fill knowledge existing gaps or identify gaps for future research.

Today correct weather forecast is one of the most important issues in human life. From economic perspective, users and investors always expect to be correctly justified to the received accuracy of forecasts. Or in other words, the system should be able to compare different predictions. In this study, precipitation forecast models has examined in the north of the country and its economic assessment. First precipitation forecasts for period of 24,48 and 72 hours have been prepared and observational data of rain –gauge stations and synoptic measurements obtained in the province. The result provided the fact that prediction model during the study, has been around 80% accurate for lack or accurance of rain. Also in twenty-four hour forecast , maximum economic value for the cost to loss ration is 0.73. So user can predict the use of more than 73% of the cost saving.

Online signature recognition is an accepted biometric technique, because it is less expensive than other biometric techniques. In this paper, an efficient two-stage on-line signature recognition approach is presented. This approach is based on the initial analysis of global features using Euclidean Distance to quickly discard outlier signatures; then followed by local features analysis using an enhanced DTW algorithm. An emphasis was created to extract stroke-associated features for global recognition phase as well as for signal preprocessing prior to local recognition. Stroke-related features used in the proposed system contribute well in enhancing the run-time performance by quick discriminating genuine and forgery signatures. Experiments are run out on MCYT-100 benchmark database. The proposed system is tested with 100 user – include 25 genuine signatures and 25 skilled forgery signatures per each user. The worst FAR recorded value is less than 4%, FRR is less than 20% and EER is less than 5%.