Course Of Experiment Research Articles

A NOVEL MULTIMODAL BIOMETRIC SYSTEM BASED ON DEEP FUSION OF ECG AND EAR

Due to their unique and measurable properties, biometric security systems are more reliable and secure than traditional ones. However, unimodal biometric systems suffer from various problems such as spoof attacks, non-universality, intra-class variances, inter-class similarities, and noisy data. To overcome these problems, multimodal biometric systems which utilize more trait features have emerged to efficiently authenticate the identity of the individuals in various real-world applications. Along the same line, this paper proposes a multimodal biometric system for human recognition based on deep features fusion of electrocardiograms (ECG) signals and ear images. The proposed system is hard to spoof compared to current systems as the ear biometric provides a fixed structure over an acceptable period of human life, and the ECG offers the characteristic of the person's liveness. It also applies a transfer-learning methodology to extract discriminative deep features by exploiting a pre-trained VGG-m Net model. Furthermore, to improve the efficiency of the proposed model’s training, augmentation techniques were utilized to further increase the size of the training data. A course of experiments has been conducted to assess the performance of the proposed approach for unimodal and multimodal biometric traits. The experimental results reveal that the proposed system achieves promising results and outperforms the unimodal of ECG and ear, and other state-of-the-art multimodal biometric systems.

Construction of statistical recognition algorithms based on two-dimensional threshold functions

The recognition problem often rises in the classification of multidimensional data and is an integral part of artificial intelligence. Currently, there are many well-known methods and algorithms for solving the recognition problem. However, these methods are mainly aimed at solving such problems where objects are described by a set of independent features. A large number of features describe recognition problems in various fields of human activity. In such problems, the probability of violating the assumption of feature independence is quite high and this determines the relevance of this study.The purpose of this study is to develop a model of recognition algorithms based on the method of making statistical decisions, taking into account the high dimensionality of feature space.A statistical approach to solving the problem of recognition under the conditions of the high dimensionality of feature space is proposed. On the basis of this approach, a model of statistical recognition algorithms based on the construction of two-dimensional threshold rule is proposed. The main advantage of the proposed model is the reduction in the volume of computational operations when recognizing objects in the test set. At that, the reduction of the volume of computational operations is ensured using a number of procedures: selection of representative features; building a two-dimensional threshold rule; determination of a set of reference two-dimensional threshold rules; determination of basic two-dimensional threshold rules and calculation of a probabilistic assessment of the object belonging. This characteristic is very important for real-time recognition systems.The operability of the proposed model of recognition algorithms was investigated in the course of experiments in solving a model problem and the problem of recognizing a person's identity from a signature image. The results of the computational experiment confirm the operability of the proposed approach in solving the recognition problem under conditions when the assumption of feature independence is not satisfied. The results of experimental studies show that the proposed statistical algorithms increase the accuracy of recognition and significantly reduce the volume of computational operations by recognizing an unknown object specified in the space of interrelated features. These algorithms can be used in the compilation of various software systems focused on solving applied recognition problems in the conditions of the high dimensionality of feature space.

Exploration and Practice of Ideological and Political Education in the Course of Experiments on Chemical Functional Molecules: Synthesis and Catalytic Performance Study of Chiral Mn(III)Cl-Salen Complex

Exploration and Practice of Ideological and Political Education in the Course of Experiments on Chemical Functional Molecules: Synthesis and Catalytic Performance Study of Chiral Mn(III)Cl-Salen Complex

Promoting the Reform of Basic Chemistry Experimental Courses through Laboratory Skills Competition

Promoting the Reform of Basic Chemistry Experimental Courses through Laboratory Skills Competition

Military Dictatorship and the Faculty of Medicine-USP: the Experimental Medicine Course, 1967-1982.

This article aimed to historically assess the impact undergone by the Faculty of Medicine-USP when it formally supported the military regime established in Brazil from 1964 onwards and the consequences of this support in its daily life. Another objective was unearthing how this context, lived between persecution, prisons, and torture, also intervened in didactic-pedagogical actions, such as the creation of a new model of medical education in 1967, known as the Experimental Course. This course would be immediately attacked by groups that saw it as a communist stronghold and a threat to the tradition of the so-called "Casa de Arnaldo", resulting in the closure of its activities in 1974.

Discussing the Exploration of TeachingMode Reform in Organic Chemistry Experimental Courses for Local Universities

Discussing the Exploration of TeachingMode Reform in Organic Chemistry Experimental Courses for Local Universities

Exploration of the construction of ideological and political education connotations and the improvement path of sociology experimental courses in the context of the new humanities

Exploration of the construction of ideological and political education connotations and the improvement path of sociology experimental courses in the context of the new humanities

Research on the Evaluation of Teaching Quality of Experimental Courses Based on IPA-Fuzzy Comprehensive Evaluation

Research on the Evaluation of Teaching Quality of Experimental Courses Based on IPA-Fuzzy Comprehensive Evaluation

Application of ICP-MS in the Innovation and Practice of Instrument Analysis Course - Taking the Determination of Cesium in Soil as an Example

Instrumental analysis is an important part of analytical chemistry, which plays a crucial role in cultivating the experimental operation ability of students in disciplines such as environment, geology, and medicine. Inductively coupled plasma mass spectrometry (ICP-MS) is currently an irreplaceable basic equipment in inorganic element analysis, and incorporating it into experimental teaching content is a requirement of the times. However, there is still a lack of application in this area. This article focuses on the graduate course “Modern Detection Technology”. The experimental course adopts a mixed teaching mode of pre class theoretical guidance and in class emphasis on practical operation. It combines theoretical and practical teaching organically, and takes the current hot topic of radioactive pollution as the problem orientation. The teaching mainly focuses on analyzing experimental design, instrument operation and use, sample measurement and result analysis, etc. The teaching mode and content of ICP-MS continuously explored to improve the quality of experimental teaching and enable students to comprehensively enhance their basic skill knowledge, scientific research literacy, and innovation awareness.

Practical Analysis of Digital Technology in Physical Education and Training in the Context of Multimedia Era

Abstract In the multimedia era, the application of digital technology in physical education and training is becoming increasingly important. This paper analyzes how digital technology can improve biological education teaching effectiveness and students’ motivation and independent learning ability. The research methodology uses digital physical education teaching and curriculum integration, motion retrieval technology, and motion editing and scoring technology. It is found that the physical education teaching mode using digital technology is significantly better than the traditional method, in which the advantage of the class using digital technology in the mastery of physical education skills is obvious. The Analysis of final grades shows that the number of experimental courses with more than 90 points is three times as many as that of the control class. The average grade, learning motivation, and independent learning ability are higher than in traditional teaching. The specific data show that the mean value of understanding motivation in the experimental class is 26.47, and that in the control class is 24.87 (P=0.0031), which shows that the digital technology significantly improves students’ motivation to learn. The application of digital technology in physical education can dramatically improve the teaching effect, enhance students’ learning motivation and independent learning ability, an important development direction of modern physical education.

Realization of experimental teaching of Young modulus based on finite element method

Young modulus experiment is a frequent item in university physics experimental courses, and in the process of doing Young modulus experiment, we will encounter problems such as difficulty in adjusting the device, difficulty in reading, and easy to break the wire line. This teaching method is based on the finite element method, which allows students to simulate and model Young modulus in CAE software after understanding the principle of Young modulus experiment. Modeling can deepen students’ understanding of Young modulus experiment. Adjusting the Young modulus of the model, the length and diameter of the wire and other parameters can quickly solve different experimental results and cultivate students’ research thinking.

Teaching Reform and Strategy of Civil Engineering Materials Experiment Course under the Background of Low Carbon

Teaching Reform and Strategy of Civil Engineering Materials Experiment Course under the Background of Low Carbon

Research on the Teaching Reform of Experimental Courses under the Background of Digitization—Taking the Communication Engineering Major as an Example

Research on the Teaching Reform of Experimental Courses under the Background of Digitization—Taking the Communication Engineering Major as an Example

Урожайность и качество насыщенного селеном картофеля, выращенного из клубней 10-15 мм

Small mini-tubers up to 15 mm can be used for growing high-quality food potatoes saturated with scarce trace elements, for example, selenium, which is a powerful immunomodulator and antioxidant. This requires determining the optimum concentration of selenium applied to plants. The authors studied the yield and basic quality indicators of selenium-saturated food potato tubers grown in 2019-2021 from non-standard mini-tubers with a size of 10 to 15 mm. The research was conducted in 2019-2021 on varieties Gulliver, Ametist and Grand grown on sod-podzolic medium-cultivated sandy loam soil. The experiment course included two options: control - without treatment, experiment - leaf treatment of plants with sodium selenite. The studies were carried out in accordance with the existing methods. As a result of the experiment, the average gross yield was 17.3 to 18.7 t/ha, the marketability in terms of tuber size was 96.5 to 97.4%. In the experiment samples, the selenium content in tubers averaged 0.040 to 0.0375 mg/kg over three years, which does not exceed the maximum permissible concentration in potatoes of 0.5 mg/kg. When using leaf treatment with sodium selenite, the increase in the selenium content in tubers relative to the control was 0.08 to 0.10 mg/kg of raw weight. Leaf treatment with sodium selenite at a dose of 3 g/ha did not significantly affect the quality of potato tubers, but increased the selenium content in tubers to 0.06 to 0.10 mg/kg of raw weight. The profitability of growing food potatoes from small non-standard mini-tubers obtained by the aerohydroponic method and leaf treatment with sodium selenite, depending on the variety, is 16.1 to 28.6%. To obtain optimum selenium content in tubers, it is proposed to increase the concentration of sodium selenite and continue research on increasing yield and improving the quality of tubers.

基于在线实验平台的统计课程实验教学实践

基于在线实验平台的统计课程实验教学实践

Application of Project-Based Learning in the Teaching of “C Language Programming” Experiment Course of Mathematics Major

Application of Project-Based Learning in the Teaching of “C Language Programming” Experiment Course of Mathematics Major

Construction of Human Anatomy Experimental Course for Sports Rehabilitation Major

Construction of Human Anatomy Experimental Course for Sports Rehabilitation Major

Application and Practice of Intelligent Control System in Microcontroller Experiment Courses

Application and Practice of Intelligent Control System in Microcontroller Experiment Courses

Methods of communicative games to restore the psycho-physical state of young people

The article discusses the possibilities of using communicative games, the basis of which is the Kyrgyz language. Holding such games not only has a beneficial effect on the condition of young people, but also develops universal competencies. As a result of the study, several types of communicative games have been developed, which include lexical, role-playing and interactive games. The methodology of their implementation was tested in the course of a pedagogical experiment. One of the main achievements established as a result of the experiment is the development of language skills, the formation of social, cultural, professional and other competencies. The developed methods can be used in educational activities, for example, for the adaptation of foreign students when exporting Kyrgyz education.

Photodegradation of thiophanate-methyl under simulated sunlight by utilization of novel composite photocatalysts

This work aimed to investigate the influence of modified titanium(IV) oxide by different nanosized particles on photocatalytic capacity to decompose the chosen organic pollutant under simulated sunlight. For that purpose, rutile-phased titanium(IV) oxide (r-TiO2) was decorated with iron vanadate (FeVO4/r-TiO2) and vanadium-substituted goethite (Fe1-xVxOOH/r-TiO2). The obtained composites were characterized by field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, X ray powder diffraction, Brunauer-Emmett-Teller, Fourier transform infrared spectroscopy - attenuated total reflec-tance and ultraviolet-visible diffuse reflectance spectroscopy techniques. Both synthesized photocatalysts showed higher photoactivity than the base r-TiO2 for the degradation of the target contaminant - thiophanate-methyl (2.5 h vs. 5 h). During the tests, parameters like the irradiation time, catalysts amount, and pesticide concentration were systematically investigated. Furthermore, photocatalysts were applied in multicycle degradation tests for examining their effectiveness during exploitation time. Monitoring of the removal rate was performed both by UV/visible spectrometry and high-performance liquid chromatography (HPLC). In order to prove completion of fungicide degradation chemical oxygen demand was measured in the course of the photocatalytic experiment. The final concentration of the observed contaminant in treated samples was under the prescribed legislative level. The fabricated materials displayed great reliability, durability and photocatalytic activity repre-senting good potentials for implementing this process in real wastewater treatment plants.