scholarly journals On construction of the comparison function of program motion in probable statement

2019 ◽  
Vol 95 (3) ◽  
pp. 60-67
Author(s):  
G.K. Vassilina ◽  
◽  
M.I. Tleubergenov ◽  
2013 ◽  
Vol 278-280 ◽  
pp. 946-949
Author(s):  
Hai Feng Guo

Proposed a way to UPD flow and UPD system ideology. The system is considered the one-way characteristics of UDP flow in the backbone of the network, used the WinPcap packet capture technology. The system including network packet captures module, packet replay module, packets spell flow module, UDP analysis module, while using the map template classes in stl, improved the performance of UDP packets through a comparison function with efficient custom;Contrast to the data characteristics under the complex network environment, the system adopts the step-by-step small tools design way to facilitate the system to expand new analysis function. Through the three sets of data : a backbone data sets and two DARPA1999 data sets, it can be seen that the overall development of UDP data flow is expanding the network bandwidth , and small UDP flows is more.The quicker network bandwidth development, the shorter the UDP flows average time.


2018 ◽  
Vol 3 (1) ◽  
pp. 44
Author(s):  
Wahyu Widhiarso

Abstract. The unit of analysis or measurement is not always item level, but also group of items (testlet). This paper demonstrates the development of measurement using testlet that are rarely applied in Indonesia. The example used in this paper is the development of the measurement of visual ability, one of several test included in AJT COGTEST. In this test, the basis of grouping items into testlet is their similarity of figure being referenced. This test consists of fifteen figure and each figure consists of seven items. The data analysis technique used is the Rasch Model. The result of comparison shows the advantages testlet psychometric properties as compared to item as unit of analysis. The data generated from testlet tends to be unidimensional, not infected local dependencies, high discrimination and high model fit than the unit of analysis in the form of grains. The comparison function test information indicates that the use testlet enhance test information function. In general, the concept of testlet and applications through Winsteps program in the development of measurement tools in presented in this paper.Keywords: Measurement Unit; Rasch Model; Testlet Abstrak. Unit pengukuran tidak selalu berbentuk butir, akan tetapi juga dapat berbentuk kelompok butir (testlet). Tulisan ini mendemonstrasikan pengembangan alat ukur dengan menggunakan testlet yang jarang diterapkan di Indonesia. Contoh yang dipakai dalam tulisan ini adalah pengembangan pengukuran abilitas visual bagian dari AJT COGTEST. Dasar pengelompokan butir menjadi satu testlet adalah kesamaan gambar yang diacu karena beberapa butir mengacu pada gambar yang berbeda. Teknik analisis data yang dipakai adalah Model Rasch. Hasil perbandingan properti psikometris menunjukkan kelebihan testlet dibanding dengan butir. Data yang dihasilkan dari testlet cenderung bersifat unidimensi, tidak terjangkit dependensi lokal, memiliki ketepatan model dan daya diskriminasi butir yang lebih baik dibanding dengan unit analisis berupa butir. Hasil perbandingan fungsi informasi tes menunjukkan bahwa penggunaan testlet meningkatkan fungsi informasi tes. Secara umum konsep mengenai testlet dan aplikasinya melalui program Winsteps dalam pengembangan alat ukur dalam dipaparkan dalam tulisan ini.Kata Kunci : Testlet; Unit Pengukuran; Model Rasch


2021 ◽  
Author(s):  
Lanfeng Huang ◽  
Yongjun Li ◽  
Shanghong Zhao ◽  
Tao Lin ◽  
Guodong Wang ◽  
...  

Abstract A high-accuracy photonics-assisted frequency measurement with rough-accurate compensation based on Mach-Zehnder interfering and power cancellation is proposed. A polarization division multiplexing dual-parallel Mach–Zehnder modulator (PDM-DPMZM) is employed to mix the unknown RF signal and sweep signal to optical field. The rough measurement is firstly performed by the interference of a Mach-Zehnder interferometer (MZI) to realize fast frequency estimation. Then, based on the rough measurement result, the accurate measurement based on power cancellation is implemented in a much narrower range, which greatly improves the efficiency of frequency measurement. The simulation results show that the amplitude comparison function (ACF) established by interference can achieve a measurement error of less than 0.3 GHz over 0.5 ~39 GHz. Moreover, thanks to the rough-accurate compensation, the accuracy can be further improved to 4 MHz. Additionally, the multiple frequency identification with a resolution of 10 MHz can also be achieved based on this system.


Author(s):  
V. V. Starovoitov

The article explored some properties of a very popular feature of image structural similarity, called the SSIM index. According to https://scholar.google.com, the article [3], where it was first described, has made more than 20,800 citations during the last 14 years. This indicator is actively used by the scientific community in imaging research. It acquired the status of an unofficial international standard for assessing image quality in the presence of a template, often referred to as the image quality metric. This article debunks some of the myths that have arisen around this index. A theorem is proved which states that the SSIM index and any of its linear transformations are not metric functions. In many publications and in the Matlab application software package in the description of the SSIM function, it is said that the SSIM index is used to measure the image quality. However, this index, as well as any comparison function with a reference image (such as full-reference), in principle, cannot assess the quality of the analyzed images. They estimate only a certain degree of similarity between the template image and its distorted copy. The article also shows that the SSIM index cannot always correctly determine the similarity of images of the same scene, while the Pearson linear correlation coefficient makes it much faster and more accurate.


2015 ◽  
Vol 44 (2) ◽  
pp. 180-185 ◽  
Author(s):  
V. V. Zhoga ◽  
V. M. Gerasun ◽  
I. A. Nesmiyanov ◽  
N. S. Vorob’eva ◽  
V. V. Dyashkin-Titov
Keyword(s):  

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