Purpose: The study purpose was to determine and compare the Recall and Precision of Bing and Google image search engines for content based image retrieval. Methodology: The research used webometrics and comparative methods. Population includes images stored in the databases of Bing and Google search engines, and research sample includes 15 selective images searched in any of search engines. All the retrieved sources through the images by image content based image search were gathered, results’ Recall and Precision measures were calculated by relevance formula and their average percentage were obtained. Research hypotheses were tested by U Mann-Whitney test as well. Findings: Findings showed that the Google search engine functionality was higher with recall measure of % 88. 73 than recall rate (%20. 86) for Bing. But Bing search engine had higher precision (% 99. 86) than Google (%94. 80). Results: Hypotheses tests on recall and precision in two search engines’ image retrieval showed a significant difference for recall in favor of Google, indicating its better functionality than Bing but there was no significant difference between them concerning precision since both showed fair precision however Bing was relatively useful.

In this paper, an alternative approach in operational modal analysis is presented, utilizing image processing technique and transmissibility functions. Imaging sensors do not impose additional mass on the structure due to their non-contact nature, while transmissibility functions, independent of excitation type, can directly extract mode shapes. The innovation of this research lies in combining these two techniques to record dynamic responses and identify modal properties. To capture the temporal response history from video signals, the block-matching method with sub-pixel accuracy was employed. Validation was conducted by recording the response of the tip of a cantilevered steel beam subjected to impact excitation, using a high-speed camera and a laser vibrometer, simultaneously. The RMSE plots in the time domain and the PSD in the frequency domain indicate high accuracy of this method. Using this approach, the displacement time histories of various points on the structure were extracted from the video signals, and the modal properties, including natural frequencies, damping ratios, and mode shapes, were identified using the transmissibility matrix method. The results obtained from the proposed method were compared with the stochastic subspace identification (SSI) method and analytical solutions. The findings reveal the accuracy of the modal identification approach introduced in this article. The highest relative error in estimating the natural frequencies of the first and second modes, compared to the values from the laser method, are 0.19% and 0.13%, respectively, and in comparison to the analytical values, they are 0.34% and 1.5%, respectively.

In Kant and the Problem of Metaphysics (KPM), Heidegger shows how the initial image-making power of the imagination is pictorial in the pure image of time. He further clarifies the recognized link between the syntheses and the time-visualizing power of images which is pictorial formative power, which can visualize time. The three syntheses of imagination are replaced with the modes of existence of Dasein. Three kinds of photographs resemble the images produced when the transcendental imagination functions as Dasein. We can address the ways to visualize time by considering Dasein with a photographic preoccupation through 1. A possible look in the form of presentation (a photograph shows an immediate look of a house or person as intuitable this-here); 2. An immediate look of the thing, house, or deceased person, as well as a copy or its reproduction as a death mask; and, 3. The manner of contemplation of a likeness is an immediate look of a being present in the form of representation.

Particle-size and their distribution are important in various sciences such as: agricultural, natural resources, and even engineering and medical engineering. Using mechanical sieves requires considerable cost and time. The purpose of this study was to investigate the capability of image processing techniques for desert pavement. Thus, random sampling of desert pavement was carried out in bare and epandage pediments. Samples were transferred to the laboratory and was grading using standard sieve series. The collected samples taken were also photographed. Photos were analyzed using image Processing and Analysis in Java and Geological image Analysis Softwares. Then the results of the software were compared with the values measured by the sieve series. Results, show that the values obtained for particle aggregation using image j software have a correlation of 93% in the epandage Pediment particles and 96% in the bare Pediments with mechanical sieve. Results of correlation between mechanical sieving and GIAS software in epandage pediment have an average correlation of 91% and in bare pediment has a correlation of 96%. It can be concluded that the use of these softwares can be a good substitute for mechanical sieve in particle size distribution. Using the results of this study can be effective in reducing cost and time in perform grading.

Introduction: Rice (Oryza sativa L.) feeds more than half of the world's population. Rice is considered a model plant in biological and agriculture field research due to its small genome compared with other plants. Storage proteins in the aleurone layer of rice seeds include albumin and globulin, as well as the endosperm, prolamin, and glutelin proteins. To determine the number of proteins and identify the protein spots between the tissues of two embryo samples and rice endosperm, the protein spots were matched according to their expression level in the images obtained from two-dimensional gel electrophoresis. Materials and methods: The profile of proteins in the endosperm and embryo of rice seeds was determined using isoelectric focusing (IEF) and polyacrylamide gel electrophoresis(SDS-PAGE) methods. The image Master software was utilized to analyze the two-dimensional gels. Considering the importance of local rice consumption in Iran and the significant production of this economically important crop in the country, this study aimed to determine the diversity and differences in the expression of protein spots within the linear pH range of 4 to 7. The two-dimensional electrophoresis method was employed on the Hasan-Sarai variety of rice indigenous to the region of Guilan. For this research, the cultivar being examined was procured from the Guilan Rice Research Center. Subsequent stages of the experiment, including sample separation and total protein extraction, were conducted at the Payame Noor University laboratory in Asadabad. Ultimately, the protein samples obtained were sent to the Health Research Institute at the Faculty of Pharmacy, where two-dimensional electrophoresis was carried out using an isoelectric focusing device. Finally, the extracted protein samples were transferred to the Health Research Institute of the Faculty of Pharmacy to perform two-dimensional electrophoresis using an isoelectric focusing device. Results: Based on the results of the two-dimensional gel analysis, a large part of the protein spots are present in the pH range of 4 to 7. The analysis of protein profile based on standard proteins with specific molecular weight and isoelectric point indicates that embryo tissue and endosperm based on isoelectric point and molecular weight showed that 284 protein spots in the embryo and 123 protein spots in endosperm have been identified. Among the identified spots, 57 common protein spots showed increased and decreased expression between the two samples. The presence of remaining protein spots in the two samples showed a significant difference between protein content in the embryo and endosperm. Conclusion: image master software was used to determine the isoelectric point and molecular weight of protein spots and expression changes between common spots. Analysis was done in protein databases and possible proteins were identified in embryo tissue and endosperm. The proteins identified in rice endosperm and embryo tissue in two-dimensional electrophoresis included grain storage proteins, glutelin precursors, acidic and alkaline glutelins, globulins, prolamins, HSPs, and hypothetical proteins. Therefore, in this way, it is possible to identify the level of expression of proteins and also their biosynthetic pathways.