Net Technology Research Articles

Using ASP.NET Technology to Build Cross-border E-commerce Business Foreign Language Network Courses

In order to adapt to the market environment, higher vocational colleges are constantly exploring and innovating on the road of cultivating comprehensive talents. This article introduces how to use the basic platform to build and develop .NET technology to build a cross-border e-commerce business foreign language online course platform, to provide suggestions and help for English majors in the development of other subjects’ online examination and independent learning platform.

Modeling a Manufacturing System by Using XML - Petri Nets Technology

In this paper we propose an approach of modeling and simulation of a manufacturing process based on timed colored Petri nets, by developing an application based on XML (eXtensible Markup Language) technology. The architecture of an XML file that characterizes a Petri nets includes specific attributes for positions, transitions, arcs and variable declarations and color sets. This makes it possible to modify the model from a structural point of view very easily by adding lines of code for the required colors, positions, transitions and arcs. In order to generate the default model and to customize the XML-type structure, an application was created where characteristic parameters of the manufacturing process will be introduced as well as the values of the program entry. The manufacturing system considered is the realization of the sunroof component within a company. During the simulation process, the working time will be considered as 8 hours. When product demands change, the simulated model can be modified very quickly to perform the analysis according to the new requirements. The arrangement of the entities of the production system can be reconfigured, the production process can be adjusted and the resources reallocated according to the simulation results.

Quality Maintenance and Monitoring using Azure CI pipeline and .Net Technologies

<p>The paper is about how the application is maintained and monitored using Azure CI pipeline. Maintaining and monitoring the quality of the software plays an important role in company’s growth and performance. This is achieved using DevOps. Few years back agile methodology was playing a major role in the industry, software were deployed in monthly, quarterly or annual basis, which is time consuming. However, now industries are moving towards DevOps methodology where in the software deployed multiple times a day. This methodology provides the organization to constantly and reliably add new features and automatically deploy them across various platforms or environment in order to gain high performance and quality assurance products. Continuous integration and Continuous delivery/ Continuous deployment are the pillars of DevOps. Continuous integration, Continuous delivery and Continuous deployment are the continuous software development practices of industry. By automating the build, test and deployment of software, CI/CD bridges the space between development and operation teams. This paper also concentrates on how the Test Driven Development features of .Net technologies supports the quality maintenance and monitoring of the application.</p>

The Computer and Internet Terms: A Gold Mine for English Dictionaries

This article investigates how the internet and computer-based terminology has enriched the English lexical stock through the use of different word formation processes. It also aims to find out the incorporation rate of online-related vocabulary in four dictionaries; namely Collins Online Dictionary, Cambridge Online English Dictionary, MerriamWebster’s Online Dictionary, and Oxford Advanced Learner’s Dictionary. The digital terms were extracted mainly from NetLingo categories: acronyms, online jargon, online business terms, online marketing, net hardware, net software, net technology, technical terms, and text messaging. To achieve the aims of the study, hundreds of online terms were analyzed and classified in terms of the different word formation processes such as derivation. The results show that both Greek and Latin and the internet have immensely enriched the English lexicon and that the incorporation of internet-related expressions varied considerably among the dictionaries.. Keywords: digital terms; word formation processes; borrowing, Greek and Latin; English dictionaries.

Design and Implementation of Web-based Teacher Remote Training Platform

With the development of computer and network technology, teachers’ continuing education has also developed from traditional training to social networked training. The large-scale, open and online education in online training has transformed teacher training activities from a single form to a complex one. Higher requirements have been put forward on the construction of network training platforms and the setting and design of courses. According to the current status and development trend of computer technology, the development of research platforms is mainly based on the open technology and high integration, and the most advanced and mature mainstream technologies and products based on high-level application development. Under the premise of high security and reliability, the research platform is easy to use, maintainable and scalable. The purpose of this article is to design and implement a web-based teacher distance learning platform. This article uses .NET technology as the site development technology to develop the website, and uses Oraele9i database and object web dynamic web technology to build the database, and builds three modules of system management, teacher management, and student training. Experiments were conducted on a certain school through the establishment of a platform and the setting of school curriculums. After learning through the training, it was found that after participating in the training, students were satisfied with “the students are satisfied with the network training process”, “whether the training content meets the needs of the students”, “network training platform” Satisfaction of resources “and” Whether the process of activities in the training process are satisfactory “are all above 88%.

Research on ASP. NET Technology in Sports Performance Management and Physical Ability Analysis System

Research on ASP. NET Technology in Sports Performance Management and Physical Ability Analysis System

Розроблення системи для підбору фільмів з використанням клієнт-серверної архітектури

The system for searching movies based on their parameters has been developed. C # 7 programming language based on WPF framework and Json, LinQ, .NET and XAML technology is used. Shell and quick sorting algorithms and binary search are used to speed up information processing. Using the developed system will save time when selecting films according to certain criteria.

Cone-beam computed tomography assessment of bone using grayscale values in patients with diabetes mellitus. A case-control observational study.

Background:The density of cortical and cancellous bone is a key reason for implant anchorage which might be severely affected during diabetes.Aim:The aim of the study was to establish the role of cone-beam computed tomography (CBCT) using grayscale values in determining bone density in different jaw sites and in comparing the values in healthy with diabetic patients.Materials and Methods:Bone densities in 322 possible implant sites in healthy and diabetic patients were evaluated using NewTomGiano CBCT machine. Cross-sections obtained were assessed for bone densities in terms of Hounsfield Unit on different sites using New Net Technologies software version 6.1.Statistical Analysis:Data were statistically analyzed using SPSS software (version 19.0).Results:Age-wise cortical and cancellous bone densities were compared and no statistical significance was obtained. Gender-wise bone density was compared and significant results were found in males. Jaw-wise bone density was compared and was found to be significantly high in the mandible. The mean cortical bone density in control group was 1608.572 (±380.36), whereas in diabetic group was 1395.368 (±296.97), and the mean cancellous bone density in control was 906.918 (±185.40) and in diabetic was 559.868 (±128.16). Teeth wise in cortical bone significant values were found at premolar region (P = 0.046) and in cancellous bone significant values were found at canine and premolar region (P = 0.012) and highly significant values were found at molar region (P = 0.001).Conclusion:CBCT unveils a distinct pattern of cortical and cancellous bone density. A high degree of concordance between different regions of the mouth in cortical and cancellous bones was obtained in different study groups. CBCT could be used for bone density analysis.

Maxillary anterior cortical bone thickness: An imperative parameter for implant solidity - 3-dimensional cone beam CT study

Background: This study aims to evaluate alveolar height, buccal, and palatal cortical bone thickness using cone beam computed tomography (CBCT) useful for radiological pre-assessment for various surgical procedures of maxillary anterior region. Materials and Methods: Maxillary central and lateral incisors and canines were bilaterally evaluated in 200 selected patients. Images were obtained with New Tom CBCT and traced with New Net Technologies software. Alveolar height and cortical bone thickness at 3 mm, 6 mm, and 9 mm above the cemetoenamel junction were measured and statistically analyzed. Results: Significant differences in alveolar height were found genderwise and agewise and were found to be highest in age groups of 51–60 years and lowest in 11–20 years. Buccal thickness at 3 mm, 6 mm, 9 mm was highest in right central incisor, right central incisor and left central incisor and lowest in right canine, left canine and left canine, respectively. Palatal thickness at 3 mm, 6 mm, 9 mm was highest in right central incisor, left central incisor and left central incisor and lowest in left canine, left canine, and left canine, respectively. Bucco-palatal thickness at 3 mm, 6 mm, 9 mm was highest in left canine, right central incisor and left central incisor and lowest in right lateral incisor, respectively. Agewise and genderwise significant differences in buccal and palatal bone were found at different levels. Conclusion: Buccal bone is thinner than palatal bone; thus, require careful radiological appraisal in orthodontic tooth movement and any surgical procedure in this region.

Dissemination of information to dairy farmers in Jammu and Kashmir: Developing a web module

The Internet is booming with need-based information and communication technologies (ICTs) catering to the needs of a huge number of farmers. For dissemination of scientific dairy practices a need-based Web Module for Scientific Dairy Practices (WMSDP) was developed. A total of 120 farmers from Jammu District and 20 scientists from the Sher-E-Kashmir University of Agricultural Sciences & Technology of Jammu were selected by proportionate random sampling for assessing and prioritizing the information needs of the farmers. Information on healthcare management was highly required by the farmers, followed by information on fodder production and management, general management, nutrition and feeding, and least on breeding and reproduction. The scientists prioritized information on general management as most required, followed by information on healthcare management, breeding and reproduction, nutrition and feeding, and least on fodder production and management. Keeping the information needs of the farmers and priority of the scientists in mind, an interactive IT-enabled web module was developed using the latest Microsoft dot (.) net technology. The perceived utility of WMSDP was calculated based on six indicators and the overall perceived utility score was found to be 11.18 out of 12.00. ICT tools like WMSDP can be an excellent medium for dissemination of required information to the farmers.

Research and design of education and teaching resource management system based on ASP.NET Technology

The informatization of career education is an important foundation and part of the reform of career education. The construction of professional education resource library is one of the important contents of professional education informatization construction. There is a lack of unified planning for the construction of teaching resource pool in higher vocational colleges in China. The system software construction investment is less, the content is not system; Teacher education information technology and teaching strategy application level is not high, slow development and other problems. This topic elaborates how to use the base. NET architecture, and SQL Server as the background database system, the development of teaching resource library platform design and implementation process. Based on the actual situation of zaozhuang vocational college of science and technology, this paper makes a comprehensive analysis of the demand of teaching resource management system. Establish a set of teaching resource management system for education teaching in our college, and the informatization level of education teaching. The research content of this paper is as follows: analyze the situation and existing problems of the construction of education teaching resource library in China. Research related technologies required for system development, including Ajax technologies. NET technology, ADO. NET technology. The demand analysis of the system, the realization of the structural model and functional module are described in detail. The system is used for testing in the department of information engineering of the college. Its functions are normal, and it basically meets the needs of normal teaching and course construction.

Techniques of Enhancing Usage Management of A Local Area Network of A Higher Educational Institution

Managing the usage of Local Area Network is an important task as it helps in maintaining the productivity of the LAN There exists tools for this purpose and most of them are web interface based, they can control and monitor the usage only when connected to internet. Moreover proper usage logging and usage control based on the already set schedule is also absent. Practically, this management do not suffice the need of higher educational institutions because the areas like accountability, usage logging and control is not addressed in this approach. Both are important factor of enhancing management of LAN. This research paper proposes a tool-LABGUARD to incorporate these features. Further the tool has been implemented using .Net Technology. As a result, the usage of systems was accountable, only the authorized user could access the assigned sites with granted privileges at the retrospective time. Thus the system became more accountable and secured. It also enhanced the control of administrator on entire lab setup. It also facilitates the administrator to retrieve log details.

Convolution Neural Network: A Shallow Dive in to Deep Neural Net Technology

It is always beneficial to reassess the previously done work to create interest and develop understanding about the subject in importance. In computer vision, to perform the task of feature extraction, classification or segmentation, measurement and assessment of image structures (medical images, natural images etc.) is to be done very efficiently. In the field of image processing numerous techniques are available, but it is very difficult to perform these tasks due to noise and other variable artifacts. Various Deep machine learning algorithms are used to perform complex task of recognition and computer vision. Recently Convolutional Neural Networks (CNNs-back bone of numerous deep learning algorithms) have shown state of the art performance in high level computer vision tasks, such as object detection, object recognition, classification, machine translation, semantic segmentation, speech recognition, scene labelling, medical imaging, robotics and control, , natural language processing (NLP), bio-informatics, cybersecurity, and many others. Convolution neural networks is the attempt to combine mathematics to computer science with icing of biology on it. CNNs work in two parts. The first part is mathematics that supports feature extraction and second part is about classification and prediction at pixel level. This review is intended for those who want to grab the complete knowledge about CNN, their development form ancient age to modern state of art system of deep learning system. This review paper is organized in three steps: in the first step introduction about the concept is given along with necessary background information. In the second step other highlights and related work proposed by various authors is explained. Third step is the complete layer wise architecture of convolution networks. The last section is followed by detailed discussion on improvements, and challenges on these deep learning techniques. Most papers consider for this review are later than 2012 from when the history of convolution neural networks and deep learning begins

Testing of novel net cleaning technologies for finfish aquaculture

To avoid the negative impacts caused by biofouling development, aquaculture nets around the world are periodically cleaned using high-pressure washers. Net cleaning is labour-intense and costly, can damage antifouling coatings on the nets, and pose contamination as well as fish health and welfare risks. To support the environmental sustainability of the growing aquaculture sector, novel net cleaning methods are needed. This study examined low-pressure-, cavitation-, and suction-based cleaning technologies as alternatives to conventional high-pressure cleaning. Using field experiments, cleaning efficacy, cleaning waste generation, and the impact of cleaning on coating integrity and net strength were evaluated. Cavitation and high-pressure cleaning achieved considerably higher cleaning efficacy than low-pressure and suction cleaning. However, a single high-pressure treatment caused up to 53% coating degradation, compared to 2% for cavitation. All technologies produced similar cleaning waste and neither reduced net strength significantly. This study identifies cavitation cleaning as promising technology for biofouling control on aquaculture nets.

Signature handwriting identification based on generative adversarial networks

Handwritten signature has been an important identity-verification method since ancient times. Compared with manual handwriting verification, the use of computer image recognition technology for handwriting verification is faster and avoids subjectivity. However, there are still some challenges in traditional image recognition methods, such as feature selection, lack of a standard basis, and low accuracy. For the first time, generative adversarial nets (GAN) technology is adopted to study the task of handwritten signature identification. A special network SIGAN (Signature Identification GAN, SIGAN)is proposed based on the idea of dual learning. The loss value of the trained discriminator of SIGAN is used as the identification threshold. The authenticity of the test handwritten signature is determined by comparing the threshold and loss value of the test image obtained through the network. The experimental data set in this study consists of five hard pen-type signatures, which include some real signatures and some deliberate imitations. The experimental results show that the average accuracy of the SIGAN-based signature identification model is 91.2%, which is 3.6% higher than that of the traditional image classification method.

Validating Black Box Neural Networks

Machine learning, driven by recent advances in neural net technology, holds much promise, but how to validate any particular model? This note looks at why validation is necessary, and describes some practical techniques for doing so. The example scenario (from a Health Insurance survey, N = 29,145) is a sentiment analysis of verbatims arising from the Net Promoter Score expatiate ‘Why that rating?’ We show that respondents’ ratings can be predicted to a useful level of accuracy, and that the model can be validated by reference to external benchmarks.

PRODUCTIVITY ESTIMATION OF SERVERLESS COMPUTING

Cloud computing has enabled organizations to focus less on their IT infrastructure and more on their core products and ser-vices. In fact, Cloud is no longer viewed as an alternative to hosting infrastructure. Serverless computing is a technology, also known as function-as-a-service, that gives the cloud provider complete management over the container function run on as necessary to serve requests. As a result, the architectures remove the need for continuously running systems and serve as event driven computing. Serv-erless computing presents new opportunities to architects and developers of Cloud-oriented solutions. Primarily, it provides a simpli-fied programming model for distributed Cloud-based systems development, with the infrastructure abstracted away. It is no longer the concern of the developer to manage load balancers, provisioning and resource allocation (although system implementers need to be aware of such things). This reduced focus on operational concerns should allow greater attention to be paid to delivering value, functionality and an ability to adapt rapidly to changes. Such issues as deployment, monitoring, quality of service and fault tolerance are moved into the hands of the Cloud provider and still need to be actively considered and managed. Serverless computing is still in its infancy and while the model matures further, tools will be created to allow developers and architects to create patterns and pro-cesses to fully exploit the advantages of the Serverless model. This paper explores the performance profile of a Serverless ecosystem under low latency and high availability. The results of application and performance tests for image recognition by using neural net-works are presented. The proposed implementation uses open source libraries and tools: TensorFlow for the study of machine learn-ing and LabelImg for data preparation. A correlation between the amount of experimental training data and recognition accuracy is studied and shown. For experiments, the software package was developed using the Python scripting programming language and .Net technology. The developed software showed excellent accuracy of recognition using regular computer with low-cost hardware. Inter-action of the client side with the “server” is carried out using HTTP-requests in any browser with low-speed network connection.

KOLABORASI FISH-NET DAN TECHNOLOGY UNTUK OPTIMALISASI ALAT TANGKAP IKAN

AbstractKelurahan Untia is one of the areas occupied by the fishermen and also the majority of the population work as fishermen catch fishermen. The dominant fishing gear used by fishermen in the village of Untia is surface gill net. But the use of surface gill net capture device is considered not effective and efficient because it has constraints on the process of checking the net, the old fishing process, the net tends to disappear, and the catch is considered less. So from that problem, we encourage us to create a technological innovation called FiNe-Tech (Fish Net Technology). FiNe-Tech is designed to be able to monitor fish trapped in surface gill net captures, simplify the process of catching fish in the sea, tracking the position of the jarring, speeding up the fishing process, and increasing the net catch through a smartphone application at close range and distance from the position nets even though we are at home though.

Information system supporting automatic design of induction motors

Nowadays requirements for electrical motors are getting bigger due to the new energy standards. This paper presents some new version of expert system supporting automatic design of induction motors. The inference engine was used and the .NET technology was applied. Also the correction module has so me new features. Due implementation of well configured knowledge bases, it is possible to create cheaper motors with better parameters.

RETRACTED ARTICLE: Research on Network Service Management Platform for Long Term Mechanism of Sports in Colleges

With economic and social development, sports began to attract considerable attention from the public. Students play an important role in the future construction of the nation. Their physical health is very critical, so all the construction of long-term mechanism for college sports network service management platform is of great significance. This paper selects the NET technology group, SQL Server2005 database and Window XP server operating system developed by Microsoft Corp as the guarantee on the technical level. Besides, it constructs the university sports network service platform based on the NET technology. In the design and development process of this platform, the relevant theories and methods of sports system engineering are adopted, and the system function, information data, target behavior as well as other scientific control are also included.