مطالب

Substitution-boxes (S-boxes) are very important nonlinear components used for achieving strong confusion for enhancing cryptographic security in most of the block ciphers. Designing cryptographically strong S-boxes has been a major research domain for the designers of symmetric crypto systems. In the proposed research work, Bat Algorithm based swarm technique is proposed to design strong S-boxes.  Cryptographic strong S-boxes are obtained by the developed swarm technique. Authors analyze cryptographic strength of the obtained S-box by evaluating properties like Bijectivity, Nonlinearity, Bit-Independence Criterion, Linear Probability and Differential Uniformity. The obtained performance parameters for the designed new S-box by the swarm technique are compared with some recently reported S-boxes in the literature. The designed S-box has good cryptographic strength. The designed S-box has good cryptographic strength like nonlinearity = 110.75 and average Strict Avalanche Criterion (SAC) value = 0.506. For the constructed S-box, most of the Differential uniformity components are 4 and shows uniform distribution approximately. The proposed new S-box is also free from the fixed points.

Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. Gait (i.e., an individual’s unique walking pattern/style) is a leading exponent when compared to first-generation biometric modalities as it is unobtrusive (i.e., it requires no contact with the individual), hence proving gait to be an optimal solution to human identification at a distance. This paper proposes an automatic identification system that analyzes gait to identify humans at a distance and predicts the strength of the match (i.e., probability of the match being positive) between two gait profiles. This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. The proposed model extracts gait profiles (from low-resolution camera feeds) by breaking down the complete gait cycle into four quarter-cycles using the variations in the width of the region-of-interest and then saves the gait profile in the form of four distinct projections (i.e., vectors) of length 20 units each, thus, summing up to 80 features for each individual’s gait profile. The focus of this study revolved around the speed-accuracy tradeoff of the proposed model where, with a limited dataset and training, the model runs at a speed of 30Hz and yields 85% accurate results on average. A Receiver Operating Characteristic Curve (ROC) is obtained for comparison of the proposed model with other machine learning models to better understand the efficiency of the system

Purpose- Scientific papers are presented for benefit in journals. The studies are carried out academically and in accordance with the needs of society. Therefore, examining them is essential to journals and academics. This paper aims to analyze the articles of the Journal of Rural Planning and Research and the connection of these articles with the challenges and obstacles of rural development.Design/methodology/approach- Scientometrics research was the basis of the current research. Scientometrics is defined as quantitatively studying science or measuring the quality and impact of research. As a field, Scientometrics uses statistical methods and techniques to quantify research and achievements to reveal the research development process and can be a tool for decision-making. The main themes include measuring research quality and impact, citation processes, mapping scientific fields, and using indicators in research policy and management. The method of collecting information was from libraries and the citation database in the "Publish or Perish" software program. The indexes of "Network Density", "Centrality Degree", "Betweenness Centrality", "Eigenvector" and "Clustering Coefficient", as well as "H-Index", were used in this study. Ravar Matrix was used to prepare the self-interaction matrix, and Ucinet and Gephi were used to analyze the indicators and make graphs. Also, the co-occurrence of the keywords of the articles was the basis for identifying the topics of the articles.Findings- Journal of Rural Research and Planning (JRRP), has published 348 articles in 10 volumes and 35 issues. Authors such as Anabestani, Barghi and Rezvani had the highest number of connections in the collaboration network. On the other hand, researchers like Taghdisi, Anabestani, Afrakhteh and Bouzarjomehri are the most influential authors of the Journal. Moreover, the main topic of the papers is Economic Development in rural areas. According to the changes and evolution of the leading research topics, the issue of sustainable development has been one of the main research approaches in the last few years. After that, studies have been conducted more on sustainable livelihood development, connected with other topics.Originality / value- Neglecting social and cultural challenges seems to be the common shortcomings of rural research besides rural development programs in Iran. This issue indicates the need for more integration in research and calls for attention in development programs.

Purpose- How to move toward community empowerment is one of the most crucial challenges in local and regional development programs. This is essential for the role of women in measures and programs for sustainable development that is founded on environmental activities. One of the South Khorasan province's local development measures is the RFLDL project in Sarayan county, and one of its selected techniques for achieving the project's main objectives is the local women empowerment. This study aims to evaluate the geographical and spatial aspects of the effects of women empowerment in the implementation area of the RFLDL project in Sarayan county.Design/methodology/approach- The current research is practical in terms of purpose and descriptive-analytical in terms of nature and method. Among the households whose women participated in the RFLDL project, 273 women was determined using Cochran's formula.Findings- The findings demonstrated that local women empowerment has increased greatly over the past ten years as a result of implementing the RFLDL project in the studied area. Women empowerment has resulted in improving the economic environment of human settlements and increasing the income of residents through the creation of small and home-based employment. In addition, self-confidence has improved, self-esteem has developed, and group participation has been promoted. The settlements are changing more and more in terms of ecology. Additionally, the development of human settlement ties and the strengthening of spatial links have benefited greatly from women empowerment.Research limitations/implications- The spread of the Coronavirus complicated efforts to collect data in the studied villages and significantly decelerated the article's production. Accordingly, surveys and interviews were conducted online to lessen the negative effects of this constraint.Practical implications- The development of human settlements and their transformations are significantly accelerated by women empowerment through spatial dynamism.Originality / value- The findings of the research are mentioned in this article, and according to the guidelines, the sources used, such as theses, articles and books all are cited. The use of traditional statistical indicators and the investigated villages within the RFLDL project's purview in Sarayan county provide the value and originality of this research.