Server-side Implementation Research Articles

Implementation of quality control systems based on machine vision and web technologies

The development of Computer Vision technologies has seen widespread adoption in various fields over the last time, including medicine, manufacturing, transportation, logistics, agriculture, and chemical industry. Research analysis indicates that Computer Vision and its practical implementation, known as Machine Vision, are widely used for defect detection in production and equipment. Despite significant research progress in this field in recent years, many unresolved issues remain concerning the quality and dimensions of input data, selection of image recognition models and their training, and the accuracy of results. Integration of machine vision system elements for information exchange and decision-making poses a significant challenge. This paper presents one approach to addressing this issue. The aim of the paper is to explore the implementation approach of quality control systems using web technologies. The task of detecting defects in printed circuit boards (PCBs) is common in many manufacturing processes. PCB inspection involves comparing the current PCB sample with a defect-free reference. Essentially, this task involves comparing two images and identifying differences between them. Defect recognition is based on the Structural Similarity Index (SSIM), which computes the degradation component reflecting the difference between images and the similarity component. The SSIM metric is already implemented in image processing libraries. This work utilizes calculations using OpenCV and scikit-image image libraries. To automate the PCB comparison process and address deployment and integration challenges at the SCADA level, a web application has been developed. This web application allows users to select a reference PCB image and upload the current PCB image for inspection. For the client-side implementation, Vue.js was chosen due to its popularity and efficiency in developing web interfaces, particularly Single Page Applications (SPAs). Vue.js's reactive system ensures automatic updates to reflect changes in data state. For the server-side implementation, Flask – a Python framework, was used, facilitating integration with the PCB comparison algorithm as both utilize Python. According to the available features, operators can upload two images – a reference PCB image and the PCB image to be compared with the reference. After uploading, the images are displayed in the system interface. On the server side, the received data is decoded and compared using the appropriate algorithms. After comparison, the results are encoded in base64 format and sent back to the client-side for display, allowing the operator to assess the similarity or differences between the PCBs. The application can operate in both automatic and manual modes. Therefore, an analysis of the challenges encountered in implementing and deploying quality control systems based on computer vision methods has been developed. The use of web technologies, particularly Python frameworks, for integrating developed models is proposed. This approach is demonstrated using the example of PCB defect recognition tasks.

Solution] ALCC: Migrating Congestion Control To The Application Layer In Cellular Networks

TCP is known to perform poorly in cellular network environ- ments. Yet, most mobile applications are explicitly built on the conventional TCP stack or implicitly leverage TCP tun- nels to various cellular middleboxes, including performance- enhancing proxies, application-specific edge proxies, VPN proxies and NAT boxes. Despite significant advances in the design of new congestion control (CC) protocols for cellular networks, deploying these protocols without bypassing the underlying TCP tunnels has remained a challenging propo- sition. This paper proposes the design of a new Application Layer Congestion Control (ALCC) framework that allows any new CC protocol to be implemented easily at the application layer, within or above an application-layer protocol that sits atop a legacy TCP stack. It drives it to deliver approximately the same as the native performance. The ALCC socket sits on top of a traditional TCP socket. Still, it can leverage the large congestion windows opened by TCP connections to carefully execute an application-level CC within the window bounds of the underlying TCP connection. This paper demonstrates how ALCC can be applied to three well-known cellular CC pro- tocols: Verus, Copa, and Sprout. For these protocols, ALCC can achieve comparable throughput and delay characteristics (within 3-10%) as the native protocols at the application layer across different networks and traffic conditions. ALCC al- lows a server-side implementation of these protocols with no client modifications and with zero bytes overhead. The ALCC framework can be easily integrated with off-the-shelf applications such as file transfers and video streaming.

An empirical study of security issues in SSO server-side implementations

An empirical study of security issues in SSO server-side implementations

On producing energy-efficient and contrast-enhanced images for OLED-based mobile devices

Organic Light-Emitting Diode (OLED) display panels have become increasingly popular in recent years due to their numerous advantages over traditional LCDs. The power consumption in OLED based displays highly depends on the displayed contents. This paper utilizes the image-dependent power-consuming quality of OLED displays to produce energy-efficient and contrast-enhanced images that consume less power and have better visual quality compared to their original form when displayed on an OLED device. The goal of reducing the power consumption in images is achieved by lowering the RGB intensity levels in color images. This idea is inspired by the “Land-Effect”, which reveals that a full-color image can be generated by using only two color components instead of three. However, in this work, a modified Land-Effect has been proposed to yield better results as compared to the original Land-Effect. The proposed method also uses some image enhancement algorithms such as white balance and retinex filter to produce quality enhanced images that have visually better color contrasts as compared to the original images. The real power consumption of the modified images was measured on Samsung Galaxy A50, an OLED-based mobile device. The experimental results demonstrated that the proposed method reduced the power consumption by 13.16% on average. Moreover, to assess the visual quality of images and to understand the user acceptability of the modified images, a subjective evaluation was also performed. The subjective test results showed a higher preference rate for the modified images as compared to the original images. The proposed system in its current form is suitable for server-side implementation where an image would be modified once and the modified image could be used indefinitely by millions of users on social media platforms.

Opportunities for development of dynamic web interfaces in an information system for research projects

The article examines issues, related to the development of software solutions for project management. In this sense, the paper presents features of an information system for research projects. The realization of a dynamism of some of the user interfaces is a relevant issue for these software solutions. The main purpose of the article is to explore the opportunities for realization of such behavior and to present the relevant models for development of dynamic web interfaces in the information system through server-side implementation. To achieve its goal, the article uses various scientific methods, including study, analysis, research, modeling and experimentation. The results support the main hypothesis of the study, namely defining the benefits of development of dynamic web interfaces using server-side implementation. The conclusion highlights the opportunities for improvement of user experience in the information systems in the subject area through the application of the researched approach.

Service Now Based Course Registration System

In the past few decades, Course Registration for a particular student in an university is a very difficult task. It consumes lot of time and man power to complete the task manually. This is because of the increase in the number of students in the university every year. So to reduce all the effort we implemented this project using a cloud based platform called Servicenow. The main theme of the project Course Registration System is to develop a registration system that will completely automate the process of a new student registration in an university.The system will be cloud based and will have two implementations i.e client side(Student) and server side(Admin). The server side implementation can be accessed over the university only when the student starts registration for the particular course.Johnson and Manning (2010) explicit that the two biggest variations between registering on-line and mailing in your work square measures time and technology. It will take time once users ought to fill in the form manually, and then submit it in other places. Rather than taking time, technology has helped us to create the registration procedure into the next level. You will be able to notice additional data regarding the courses you wish to acquire and in the same time fill up the form, pay the fees, etc. The management that receives registration data most probably will process the information in same system, so by using online course registration and management system, we can save time.

Defending Cross Site Reference Forgery (CSRF) Attacks on Contemporary Web Applications Using a Bayesian Predictive Model

This work presents specific solutions to defend a recent, not very well understood web vulnerability known as the Cross Site Reference Forgery (CSRF). A methodical approach is used to investigate CSRF attacks and propose remedies by introducing a novel and distinctive variation of the well recognized Bayesian Belief Networks (BBN). Critical networks and infrastructures are susceptible to disruptions and industrial espionage under a coordinated CSRF attack. The threat to launch CSRF attacks from a network of thousands of malicious machines is a real threat to the national and commercial cyber security of honest web applications. Some high profile CSRF reported attacks include: ING Direct (Attacker opens additional accounts on behalf of an authenticated user and transfers funds from a user's account to the attacker's account); YouTube (Nearly every action a user can perform on YouTube is hijacked by the attacker); MetaFilter (Allowed an attacker to take control of a user's account); The New York Times (User email addresses, identity and profiles accessed by the attacker, sent spam). Additionally, known CSRF vulnerabilities have also been reported with Google’s Gmail service, in a banking application in Korea, etc. The urgency to come up with appropriate defense mechanism against the lethal CSRF attacks is indicated due to expanding cloud based technologies, HTML5, Semantic Web, and various emerging security frameworks comprised of inchoate vestigial of “Big Data” that demand exceedingly evolved defense mechanisms. In this paper, we present a BBN Predictive Model (BPM) to detect, predict and provide solutions for CSRF attacks on contemporary Web Applications and Web Services environment. While some remedies have been proposed recently, they rely mostly on server side implementations. There are significant disadvantages of server-side countermeasures in that they require modifications of server-side programs which bear a direct operational impact in terms of performance and maintenance. Updating and modifying servers may cost too much and take long time before a substantial fraction of the web gets updated. A more attractive idea, perused in this work, is that CSRF countermeasures can be applied on the client-side, as browser extensions. The basic idea is simple: the browser can strip session and authentication information from malicious requests, or it can block such requests altogether. However, the difficulty is in determining a malicious request with confidence. There is a compelling case to use Bayesian approach for augmenting the full functionality of the proposed BPM defense model. A significant volume of research provides number of qualities that recommend Bayesian reasoning as the foundation for determining the confidence level in scenarios where a decision has to be made to proceed to the next level, as is the case in the proposed CSRF model. The most often cited quality is the ability to include prior information, as well as its capacity to simplify the logic of building a coherent system. While describing empirical approaches in the design and development of the BPM model, the paper attempts to answer the following: 1. What is the current state of prediction and detection of cyber attacks on contemporary web applications and services? 2. How does a CSRF attack take place? What are known mitigation approaches? 3. How does a Bayesian Belief Network provide a useful and robust detection and defensive mechanism against CSRF attacks?The paper concludes with recommendations and guidelines for future extensions including the design and development of browser based plug, comparing the performance of BPM with other known models for CSRF defense, extending BPM scope in the areas of client based cyber and local security.

Development of a Browser-Based Mobile Audience Response System for Large Classrooms

Didactical advantages of audience response systems (ARS) have been discussed extensively ever since they have been used in classes. However, conventional ARS bear some drawbacks, such as requiring specific hardware, generating costs (text messaging based and web service fees) and creating a dependency on external hosts. In this paper we present a browser-based ARS, which provides a platform-independent channel for the interaction between students and teachers. The authors provide a solution of an ARS for potentially large and spatially distributed classes, where the audience can provide feedback via PCs and mobile devices such as smart phones and tablets. The proposed system has been integrated into the e-learning system of the Vienna University of Economics and Business (WU), one of the largest business universities worldwide. The server side implementation of an ARS brings some challenges, such as the integration into an e-learning environment, the technical feasibility due to a broad variety of possible end user devices, and user acceptance issues. This paper documents the experiences and findings of the stepwise development and deployment in large classrooms. This resulted in an enhancement of the information policy with students and an optimization of the WLAN network settings. Finally, a new, unanticipated usage scenario emerged for mobile, browser-based response systems.

Web-based Novel Archtecture For Intelligent Tutoring

This paper presents a novel architecture for intelligent tutoring model that combines both dynamic client design and three-tier server side with database server design. The content and dialogue initiations capability of the tutorial model are embedded in the three-tier server side with database server design aspect of the architecture while the dynamic client design is used for the tutorial interactivity aspect. Both aspects were then analyzed as prerequisite knowledge to developing the new web-based architecture for intelligent tutoring. The architecture combines a client side implementation language, a server side implementation language and a database implementation language. This client side script has all the necessary logic required to process dynamism and interactivity of the system. Hence, the interactivity request is made at the client, captured by the client script and processed by the client script. If there are complex data that require processing at the server side, the server script processes it and returns the result as parameters to the script which uses it for further processing. The result is then sent to the web browser for total service delivery and throughput. The evaluation of the system shows the capability of handling millions of lessons effectively depending on the storage disk capacity of the web server. Key Words: Complex Combination, Three-tier Server Side, Dynamic Client, Storage Disk, Round Tripping, Bandwidth

Client Side CSRF Defensive Tool

Cross Site Request Forgery (CSRF) attack is immerged as serious threat to web applications which based on the vulnerabilities present in the normal request response pattern of HTTP protocol. It is difficult to detect and hence it is present in most of the existing web applications. Various defensive mechanisms have been suggested for CSRF but none of them provides complete protection against it. Few of these are client side tools and other needs both client as well as server side implementation. Maximum of these works for Reflected CSRF and very few has taken a note of stored CSRF. So to handle protect web applications securely, strong and client side protection against CSRF is needed. In this paper we have proposed CSRF defensive tool which provide complete CSRF protection. This is client side tool and not disturbs server side functionality. It can be implemented on browser as a plug-in. This tool works for both stored as well as reflected CSRF attack.