فهرست مطالب ahmadali goodarzi

Today, new technologies in the control and monitoring of borders have opened new horizons for the countries of the world regarding the preservation and protection of their borders, and turning to new technologies in their monitoring and control can provide the means of neutralizing threats. The present study investigates the role of new technologies in preventing smuggling in the borders of Kurdistan province.

Research method and statistical population: In terms of purpose, this research is applied in a quantitative type with a descriptive-survey research method using a questionnaire with a 5-point Likert scale after verifying its validity and reliability to examine the items among 70 employees of the border control command. Kurdistan province distribution and obtained data were analyzed in the form of SPSS software with Friedman and Chi-square test estimates.

Based on the research findings, night vision cameras, drones and thermal cameras have the highest function in terms of controlling and monitoring borders and preventing smuggling in the border strip of Kurdistan province, and radars and GIS technology can also be effective in this field and lower positions. They are compared to the previously mentioned technologies.

New control and monitoring technologies can play a decisive role in preventing the smuggling of goods in border areas. These technologies with high accuracy and efficiency can minimize human error and damage and play an effective role in preventing, identifying and dealing with smuggling from the entry and exit points of the borders of Kurdistan province.

Intelligence elites are among the issues that are always considered by commanders, and their application in border areas can affect the spread of crimes. Therefore, the current research was conducted to determine the impact of police intelligence elites in preventing crimes in the border areas of Golestan province.

The research method is applied in terms of purpose, in terms of the nature of the data, it is descriptive, analytical, and in terms of survey method and correlation type. The statistical population of 101 people are commanders of border regiments, staff managers, commanders of companies, outposts and marine units with at least 3 years of management experience in border guarding and are familiar with intelligence elites. The sample size was calculated based on Morgan's table of 91 people. The method of stratified random sampling and the tool of data collection is a researcher-made questionnaire. The validity of the research instrument was obtained using content and form validity and its reliability was obtained by calculating Cronbach's alpha coefficient of 0.844. Research data using descriptive and inferential statistics, regression analysis, and structural equations using PI software. L. S was analyzed.

Based on the results of the research, it was found that crime prevention in the border areas of Golestan province can be predicted using the variable of police intelligence elites. Therefore, the standardized beta coefficients show that for one unit change in the police intelligence elite variable, there is a 0.457 change in the dependent variable of crime prevention in the border areas of Golestan province.

The obtained results indicate the confirmation of the influence of information elites on the prevention of border crimes in the border areas of Golestan province.

 5S is the name of a workplace organization method that uses a list of five Japanese words: seiri, seiton, seiso, siketsu, and shituke for improving the productivity of workplace. The Iranian police has designed a native model based on this view in 2012 and Shiraz metropolis police implemented this model in 2014.  This study aimed at evaluating the effect of the native model, based on 5S on the happiness of Shiraz metropolis police staff.  This was a comparative longitudinal study, which examined the effect of native model, derived from 5S, on happiness of police staff. This study examined happiness before implementation and after one year. Happiness was evaluated according to the Oxford version, which included 29 questions. Data were analyzed using SPSS version 19 and Chi-square test and paired t-test was used to compare all variables, including the happiness scores.  Results showed that there was a significant association between the types of administration (P = 0.005), the main reason to work in Police force (P = 0.02), and income (P < 0.001). In addition, it was indicated that this model significantly changed the mean score of happiness (P < 0.001).  This study indicated that 5S promoted the happiness of police forces. The application of this model is recommended in other departments of the police force. Also, considering the national security, utilizing this model is recommended in other military institutions.