Integration Of Computer Technology Research Articles

The effect of web-based blended learning echaced course on cognitive learning outcomes, scientific attitudes and learning interests of class VIII students Junior High Schools of gwamar Dobo and Negeri 1 Dobo

ABSTRACT
 One of the learning problems is the integration of computer technology into learning activities that can trigger students to be able to develop learning and innovation skills, skills to use technology and information media, and be able to work and survive using life skills. The appropriate learning model that can be applied is the blended learning model that combines traditional face-to-face learning with computer-based learning with web (web enhanced) utilization. This study aims to see the effect of the web-enhanced blended learning model on cognitive learning outcomes, scientific attitudes and student learning interest in the human digestive system material. on the results of scientific attitudes and student interest in learning. The results showed that there was an effect of the web-enhanced blended learning model on cognitive learning outcomes, scientific attitudes and student interest in learning.

Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

With the gradual development of information technology, the idea of combining mobile robot and wireless remote control technology is adopted to build a wireless network platform between a computer and robot. At present, there are conditions to realize this idea. In this idea, the wireless data transmission can be realized on the platform. Users can remotely control and access the monitoring system of the computer room and set up alarm systems and detectors, so as to monitor the working conditions of the robot at the computer terminal, truly realize the man-machine coordination, and ensure that the robot can complete the specified tasks well in various complex environments. This research first deeply analyzes the current development status and existing problems of the information room monitoring technology and then puts forward the mobile video monitoring system architecture of the information room based on the intelligent robot monitoring technology. The system architecture integrates computer technology, network technology, and control technology. With the continuous updating of technology, video surveillance has also entered the mobile era. Combined with the timely monitoring video acquisition system of mobile robots, it solves the current working environment for many industries and enterprises. Using robot chassis technology, it designs the corresponding bottom hardware control and upper equipment to achieve data acquisition with related equipment. The mobile video surveillance system solves the problems encountered by the traditional video surveillance system and can monitor video images through remote operation and centrally monitors the operation status of the equipment in the room and the environmental status of the room, which is more conducive to improving the management efficiency. It provides a new idea to ensure the safe and stable operation of various equipment and systems in various places.

Research on Soybean Disease Identification Method Based on Deep Learning

With the continuous integration of computer technology into agricultural production, it also reduces personnel costs while improving agricultural production efficiency and quality. Crop disease control is an important part of agricultural production, and the use of computer vision technology to quickly and accurately identify crop diseases is an important means of ensuring a good harvest of agricultural products and promoting agricultural modernization. In this paper, a recognition method based on deep learning is proposed based on soybean brown spot. The method is divided into image pretreatment and disease identification. Based on traditional threshold segmentation, the preprocessing process first uses the HSI color space to filter the information of the normal area of the leaf, adopts OTSU to set the threshold to segment the original image under the Lab color space, and then merges the segmented images. The final spot segmentation image is obtained. Compared with the renderings of several other commonly used methods of segmentation, this method can better separate the lesions from the leaves. In terms of disease identification, in order to adapt to the working conditions of large samples of farmland operations, a convolutional neural network (CNN) of continuous convolutional layers was constructed with the help of Caffe to extract more advanced features of the image. In the selection of activation functions, this paper selects the Maxout unit with stronger fitting ability, and in order to reduce the parameters in the network and prevent the network from overfitting, the sparse Maxout unit is used, which effectively improves the performance of the Maxout convolutional neural network. The experimental results show that the algorithm is superior to the algorithm based on ordinary convolutional neural network in identifying large sample crop diseases.

Investigation of Pre-Service Social Studies Teachers’ Perceptions of Technology Integration Self-Efficacy and Technology Acceptance Levels with Regard to Various Variables

The aim of this study was to investigate pre-service social studies teachers’ self-efficacy perceptions towards the integration of technology in education and their technology acceptance levels in terms of different variables (gender, grade, level of interest in technological innovations, training on the use of technology in education) and to reveal whether there was a significant relationship between them.181 pre-service social studies teachers studying at 3 different universities from 3 different regions in Turkey participated in the study which was designed in accordance with the relational survey and causal comparative models. The participation was on a voluntarily basis and the participants were selected using convenience sampling method. The data were collected through Computer Technology Integration Survey and Technology Acceptance Measure for Pre-service Teachers. SPSS 20 was used in data analysis. The results showed that gender had a significant effect on self-efficacy perceptions whereas it did not play a role in acceptance levels. In addition, it was found that although grade level did not have a significant effect on self-efficacy perception, it played a significant role in acceptance levels. Furthermore, the level of interest in technological innovations was found to have a significant effect on self-efficacy perceptions. It was also found that training on the use of technology in education had a significant impact on both self-efficacy perceptions and acceptance levels. Finally, this study revealed a positive moderate relationship between self-efficacy perceptions towards technology integration and technology acceptance levels of the participants

Application of Digital Orthopedic Technology in Orthopedic Trauma.

In order to solve the limitation of auxiliary treatment means in the process of orthopedic trauma surgery, and further improve the effective integration of orthopedic trauma clinical surgery and computer technology, a new orthopedic trauma auxiliary treatment means based on digital orthopedic technology was proposed with the aid of virtual digital technology. The method builds a 3D model of fracture fragments through 3D orthopedic modeling and obtains a high-quality 3D model through processing. Later clinical tests verify the feasibility of this auxiliary treatment method. The test results show that the precision of the 3D reconstruction model based on custom option fitting is higher than that based on optimal option fitting, and the precision difference is within 0.2%. This result also indicates that the 3D model obtained by 3D reconstruction has higher accuracy. The results show that three-dimensional finite element modeling technology can accurately simulate the stress of the spine of orthopedic patients and can reduce the incidence of complications through preoperative diagnosis, curative effect prediction, and trauma surgery, which has a good aid for postoperative recovery.

Research on the Development of Hospital Intelligent Finance Based on Artificial Intelligence.

Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligence industry is quietly rising. In the social life of the information age, the artificial intelligence industry represented by machine deep learning is playing a very important role. This study in combination with the background of the new health reform, in view of the reform of the medical industry, analyzes the connotation of financial wisdom based on the important role of the hospital financial development problems, puts forward the development direction of artificial intelligence hospital financial wisdom development measures, designed to meet the changing external environment demand, reduces human costs, and improves the overall efficiency of hospital financial fund management. Based on the evaluation results, this paper proposes the correct direction for the development of hospital intelligence finance by using the BP neural network model. After the analysis, it is found that the development of artificial intelligence is an important measure to promote the development of hospital intelligent finance. In other words, hospital intelligent financial management is the product of the continuous progress of artificial intelligence technology. At the present stage, the intelligent financial management problems of hospitals are mainly as follows: (1) lack of financial informatization, (2) lack of perfect financial risk early warning system, and (3) the phenomenon of “information island” in the financial system. After analyzing the above problems, the research believes that the development of hospital intelligent finance based on artificial intelligence needs to solve the above thorny problems, so as to improve the outcome of hospital intelligent finance development. The following work should be done: (1) strengthen the design of information sharing module, (2) intelligent control of the cost of hospitals, and (3) intelligent treatment of hospital accounting. Combining the development of artificial intelligence and hospital intelligent finance theory, combined with the actual trend of financial intelligence development under the background of artificial intelligence development in the new era, it provides scientific basis for the development of hospital intelligent finance.

On the issue of cybersecurity of advocacy activity.

During the 20th century, technological progress rewarded the convergence of telecommunications and computer technology. This marked the beginning of an era known as the information age. The information age is characterized by the growth of digitalization, which mainly performs the technological transition from analog and electromechanical technologies to digital technologies. A very characteristic feature of the information age is the continuous integration of computer and digital communication technologies into virtually every aspect of life. This has led to the emergence of the information society, which has fundamentally changed traditional perceptions of security. The security of digital data, computers, digital communications technologies and information networks now has a predominant impact on all aspects of life and society. Thus, with the advent of the information society, malicious actions against information systems, such as computer systems and networks, can now affect individuals, the country and the global economy in a way that was previously unheard of. Measures to address these information security issues have given rise to a new concept known as «cybersecurity». Cybersecurity of information is aimed at promoting and ensuring the overall security of digital and information systems with the security of the information society. Thus, the concept of a wide range of social, legal, regulatory and technological measures that ensure the integrity, confidentiality, accessibility and overall security of digital information and information systems to achieve the high level of trust and security necessary for the development of a sustainable information society.
 Advocacy is inextricably linked to confidential information. Providing protection and security of information about one of the best tasks of advocacy. The age of digitization of advocacy is transforming the usual procedural agenda. This creates a new mystery for lawyers. In a profession where trust and confidentiality are as sacred as keeping clients secret, is the amount of information that comes to your attention increasingly beyond your control?

Bioinformation Systems with Detectors and Signal Coding Capabilities

Introduction. The integration of computer technologies into various fields of science allows the development of new methodologies, hybrid information systems with advanced capabilities, such as EcoIS bioinformation system for monitoring the environment with the use of biological data detectors.Problem Statement. The development of innovation bioinformation systems with biological data detectors is a very important task, as they have numerous advantages: allow rapid diagnostics and testing of chemicals in thefirst moments of their action, may be incorporated easily into electronic registration systems, may serve as elementary analytical units with data coding capabilities, etc.Purpose. The purpose of this research is to make a comprehensive analysis of different types of biological data detectors to develop a physical model of a biosensor capable of encoding signals and a bioinformation system with such detectors.Materials and Methods. The comparative analysis of information systems with functions of ecomonitoring and different types of biosensors have been used; the data are taken from electrophysiological experiments on registration of chemosensitive transmembrane electric currents in voltage clamp and patch clamp modes.Results. The physical model of biosensor has been developed and tested. The integration of the developed biosensors into the electronic bioinformation system by the example of EcoIS authors’ system has been demonstrated. Neuron-like biosensor has been considered an abstraction in the unity of its functions: signal receiver — filter — analyzer — encoder/decoder, where the input information is obtained in the form of chemical structures or electrical signals, after the conversion (recoding) of information it is registered as electrical signals with changed characteristics. The prospects for developing the cutting-edge methods for information protection in systems with biosensors have been shown. Conclusions. This development may be used for creating a bioinformation system for environmental moni toring with integrated biosensor system and data protection based on the principles and achievements of contemporary biophysics.

Reliable and Privacy-Preserving Top-k Disease Matching Schemes for E-Healthcare Systems

The integration of body sensors, cloud computing, and mobile communication technologies has significantly improved the development and availability of e-healthcare systems. In an e-healthcare system, health service providers upload real patients’ clinical data and diagnostic treatments to the cloud server. Afterward, the users can submit queries with specific body sensor parameters, to obtaining pertinent <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> diagnostic files. The results are ranked based on ranking algorithms that match the query parameters to the ones in diagnostic files. However, privacy concerns arise while matching disease, since the clinical data and diagnostic files contain sensitive information. In this work, we propose two reliable and privacy-preserving Top- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> disease matching schemes. The first scheme is constructed based on our proposed weighted Euclidean distance comparison algorithm under secure <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> -nearest neighbor technique to get <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> diagnostic files. It allows users to set different weights for each body indicator as per their needs. The second scheme is designed by comparing Euclidean distances under the modified Paillier homomorphic encryption algorithm where a superlinear sequence is used to reduce the computational and communication overhead. The user side incurs slightly higher computational costs, but the trusted party does not need to execute encryption operations. Hence, the proposed two schemes can be applied in different application scenarios. Simulations on synthetic and real data prove the efficiency of the schemes, and security analysis establishes the privacy-preservation properties.

Legal support of health transformation in the light of medical reform in consideration of European integration processes

The authors considered the main legal issues of updating the medical system of Ukraine and the directions of its digitalization in the context of reform. The essence and features of the implementation of digitalization in the European Union are clarified. The electronic health care systems of some European countries are considered, and, accordingly, attention is paid to the experience of their implementation and use.&#x0D; The current state of legal support for the transformation of the electronic medical system is studied, taking into account the experience of foreign countries. The conclusion is made about the need for a slow transition to digitalization, taking into account the interests and capabilities of certain groups in society.&#x0D; Since the Ministry of Health of Ukraine is currently abandoning paper reports and documents in the field of health care in order to reduce the risk of corruption and facilitate the process of treatment and communication for patients, doctors, and health care structures, the last few years are marked by the rapid integration of digital computer technology into health care.&#x0D; Based on the electronic health care system, user-friendly online services have been developed for patients and other participants in the field of health care, with which you can choose a doctor and make a declaration with him, write and obtain an electronic prescription, make an appointment doctor, enter into an agreement with the National Health Service of Ukraine, the procedure for reporting on medical services provided. It is noted that the idea of creating these services is borrowed from the EU, which is why the article analyzes the analysis between European and domestic medical electronic systems.&#x0D; The analysis of digital technologies in medical systems of European countries is carried out. The further vector and direction of development of the national health care system in the context of digitalization are determined. Important aspects and measures of optimization and modernization are highlighted, which should be taken into account in further reforming and creating new digital resources for a more comfortable transition and use of the latest digital technologies in Ukraine in health care.&#x0D; Emphasis is placed on promising areas of state regulation in the field of health care reform in Ukraine in the light of European experience.

Human-machine-learning integration and task allocation in citizen science

The field of citizen science involves the participation of citizens across different stages of a scientific project; within this field there is currently a rapid expansion of the integration of humans and AI computational technologies based on machine learning and/or neural networking-based paradigms. The distribution of tasks between citizens (“the crowd”), experts, and this type of technologies has received relatively little attention. To illustrate the current state of task allocation in citizen science projects that integrate humans and computational technologies, an integrative literature review of 50 peer-reviewed papers was conducted. A framework was used for characterizing citizen science projects based on two main dimensions: (a) the nature of the task outsourced to the crowd, and (b) the skills required by the crowd to perform a task. The framework was extended to include tasks performed by experts and AI computational technologies as well. Most of the tasks citizens do in the reported projects are well-structured, involve little interdependence, and require skills prevalent among the general population. The work of experts is typically structured and at a higher-level of interdependence than that of citizens, requiring expertize in specific fields. Unsurprisingly, AI computational technologies are capable of performing mostly well-structured tasks at a high-level of interdependence. It is argued that the distribution of tasks that results from the combination of computation and citizen science may disincentivize certain volunteer groups. Assigning tasks in a meaningful way to citizen scientists alongside experts and AI computational technologies is an unavoidable design challenge.

Anxiety and Efficacy in Computer Technology Integration among Secondary School Teachers of Angadanan, Isabela, Philippines

Globally, computer technology is changing the way educators teach and students learn. Faculty must be computer literate, competent to use available technologies and to become innovative and receptive to change. This study aimed to know the levels of computer anxiety and self-efficacy, use of computer applications in instructions and levels of computer anxiety explained by computer self-efficacy, computer usage and selected characteristics. Findings show the total composite anxiety score of 29.36 which is interpreted as Low Technophobia, Generally, Relax or Comfortable. Among the identified schools, self –efficacy of 96.61 was obtained which was interpreted as very confident. When the variables were grouped, a negative correlation (r =-.392) for computer self-efficacy and computer applications (r= -.22) were noted with the composite computer anxiety scores. These two variables had inverse linear relationships with computer anxiety but had a positive linear relationship with each other. The results revealed that groups’ having less self-efficacy have less enthusiasm to perform activities compared to groups having higher self-efficacy. Other findings shown that there are number of teachers whose responses are “not available” and only few hands are utilizing the benefit of using computer applications in their profession. It is recommended that schools should be more open to teachers in using computers and to provide comprehensive training to enhance their literacy and skills in computer application. For this effort, educators could use higher technology and the possibility to develop new instructional methods and materials in their teaching.

Application and Development of Computer Technology in Modern Military Logistics Construction

Military logistics is regarded as the "main artery" of modern warfare and is the foundation of combat command and logistics support. With the rapid development of computer technology, military logistics is gradually integrating computer technology to build modern informational military logistics. Based on the actual background of building modern informational military logistics, this paper points out the importance of computers in the construction of modern military logistics from three dimensions: a collection of cargo transportation and military logistics information transmission, information transmission and sharing, and intelligent dispatching of military logistics, and discusses the application of computer technology in the construction of military logistics from the level of procurement, transportation, storage, distribution and management.

Facilitating nursing students' skill training in distance education via online game-based learning with the watch-summarize-question approach during the COVID-19 pandemic: A quasi-experimental study

BackgroundKey challenges for clinical education during the COVID-19 pandemic include how to continue teaching and learning, how to teach core clinical skills, and how to demonstrate professional and practical skills in various clinical situations. Therefore, nursing students need to learn how to assist with in-patient intubation, eliminate accumulated sputum overflow, and the basic techniques of sputum suction. ObjectivesWe proposed and investigated an approach to integrating online game-based learning with the watch-summarize-question strategy to improve nursing students' learning achievement, self-efficacy, learning engagement, and learning satisfaction in sputum suction skill training. DesignA quasi-experimental study with pretest and posttest design. Settings and participantsWe randomly allocated 45 first-year nursing students to an experimental group (n = 21) or a control group (n = 24) at a school of nursing in a university. MethodsThe experimental group adopted the online game-based learning and watch-summarize-question strategy, while the control group used video-based learning. Participants were assessed on learning achievement of sputum suction skills, self-efficacy, learning engagement, and learning satisfaction before and after the intervention. ResultsThe experimental group, which used the proposed approach, achieved statistically significant higher learning achievement, self-efficacy, learning engagement, and learning satisfaction than the control group. ConclusionsThe integration of online game-based learning with the watch-summarize-question strategy demonstrated a positive impact on nursing students' sputum suction skill training. Nurse educators and researchers should consider integrating computer technology and teaching strategies to facilitate nursing education.

A Study of Data-Driven Enterprise Human Resource Management Model

With the deepening of diversified and professional business philosophy in large enterprises, enterprises play more and more abundant social functions in society. Sense of mission and honor play an important role in the healthy development of enterprises. With the in-depth integration of enterprise management and computer technology, some human resource management problems related to corporate social responsibility often appear in this process. From the traditional human resource management paradigm to people-oriented social responsibility human resource management, “strengthening effectiveness” has become the main research direction of enterprise management in the electronic age. On this basis, through the discrete modeling method of a large amount of data, this paper creatively puts forward the coupling correlation between corporate social responsibility and enterprise human resource management based on grey correlation algorithm. Compared with the management mode based on trapezoidal data analysis and cluster center adopted in the current mainstream enterprise human resource management research, the innovation of this algorithm is to analyze the dynamic data of corporate social responsibility and enterprise human resources and establish a coupling model related to corporate social responsibility. It can not only realize the dynamic tracking of human resource data, but also make full use of the relevant characteristic information of the coupling relationship between enterprise human resource management and corporate social responsibility. According to the dynamic big data such as employee welfare, employee compensation, employee training, employee overtime, and timeliness of transaction processing, this paper analyzes the social problems such as corporate social responsibility evaluation index, employee turnover rate, and enterprise income, so as to provide theoretical support for enterprise business strategy.

Development of Low-Power Wide-Area Communication Gateway for Power Data Transmission

With the rapid development and maturity of communication technology, integrated computer technology and sensor technology, small sensors with sensing, computing and communication capabilities have begun to appear all over the world. The sensor network composed of these small sensors has received a lot of attention. This paper studies the low-power wide-area communication gateway for power data transmission. Based on the analysis of the energy consumption strategy of the power data transmission process, the low-power wide-area communication gateway for power data transmission is developed, and the developed gateway was tested. According to the peer test results of the gateway, the packet loss rate of the gateway within 100m is relatively good. Therefore, when arranging network nodes, try to control the transmission distance of the gateway within 100m. The energy consumption test shows that the energy consumption of the gateway is basically in an ideal state.

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange

Medical data exchange between diverse e-health entities can lead to a better healthcare quality, improving the response time in emergency conditions, and a more accurate control of critical medical events (e.g., national health threats or epidemics). However, exchanging large amount of information between different e-health entities is challenging in terms of security, privacy, and network loads, especially for large-scale healthcare systems. Indeed, recent solutions suffer from poor scalability, computational cost, and slow response. Thus, this article proposes medical-edge-blockchain (MEdge-Chain), a holistic framework that exploits the integration of edge computing and blockchain-based technologies to process large amounts of medical data. Specifically, the proposed framework describes a healthcare system that aims to aggregate diverse health entities in a unique national healthcare system by enabling swift, secure exchange, and storage of medical data. Moreover, we design an automated patients monitoring scheme, at the edge, which enables the remote monitoring and efficient discovery of critical medical events. Then, we integrate this scheme with a blockchain architecture to optimize medical data exchanging between diverse entities. Furthermore, we develop a blockchain-based optimization model that aims to optimize the latency and computational cost of medical data exchange between different health entities, hence providing effective and secure healthcare services. Finally, we show the effectiveness of our system in adapting to different critical events, while highlighting the benefits of the proposed intelligent health system.

Integration Of Computer Technologies In Secondary Schools Of Fine Arts

The paper considers the place of information technology in the acquisition of fine arts at school. The use of information technology in the classroom allows you to actively develop the creative and cognitive abilities of each student, apply graphics, lights, sounds, simulate different situations and among, create an emotional mood, which positively tells on the development of artistic creativity in schoolchildren.

Integration of fine arts and computer technologies in art education of students

Integration of fine arts and computer technologies in art education of students

Precision seeding parameter monitoring system based on laser sensor and wireless serial port communication

With the development of agricultural intelligence, the degree of integration of computer technology, wireless communication technology, sensor technology, and agricultural machinery technology is getting higher and higher. Among them, the seeding parameter monitoring technology of the seeder has been more and more applied. However, the current seeding monitoring technology still has some problems, including the low accuracy of parameter monitoring, the monitoring parameters are mainly the seeding quantity, the data is communicated by wire connection, the communication distance is short, the wiring is complicated, and the scalability is poor. Aiming at the problems existing in the current seeding parameter monitoring technology, this study designed and developed a precision seeding parameter monitoring system based on laser sensors and wireless serial port communication for precision seeders. The monitoring system included the design of laser sensor, the design of controller parameter capture and calculation, the design of upper computer human–computer interaction software, the design of wireless communication methods, the design of fault alarm, and speed measurement function. Bench tests had shown that the monitoring system designed in this study had high monitoring accuracy. When the simulated seeder was at a forward speed of 5–10 km/h, the average monitoring error of the seeding quantity was less than 1.2%, and the average monitoring error of the seeding qualified rate was less than 0.5%. The monitoring system could accurately and timely alarm the fault, which the success rate of alarm reached 100%, and the average response time of the fault alarm was less than 0.5 s. The GPS speed measurement value was consistent with the simulation software value, and the speed measurement frequency was 5 Hz. Field tests had shown that the average monitoring error of the seeding quantity was less than 1%, and the average monitoring error of the seeding qualified rate was less than 1.5%. The monitoring system could alarm in time when the seeder had a missing seeds fault. Through test verification, the monitoring system designed in this study could realize the online real-time monitoring function of the precision seeder.