Web Client Research Articles

System Development for Intelligent Search in Industrial Standards

The article is devoted to the description of intelligent information retrieval system development according to industry standards based on the Stanford CoreNLP tool. The description of the subject area, design, and main stages of system development are presented: development of extracting information module from industrial standards, implementation of a web service using the Flask framework, and a client web application on React JS. The use of the developed system by engineers and software developers will make it possible to effectively manage the definition base of industrial standards, understand them correctly and observe them in accordance with the chosen field of knowledge.

Identification of spammer and fake accounts on social networks

The existence in the electronic world is dominated by rechargeable conversations. The emails from advertisers and online communication companies end up being junk most often because their receivers are bombarded with promotional messages which are meaningless to them. Unwanted emails are a form of email correspondence. Because of email spam, there is a requirement to block and separate undesign ned messages. Many email-snoise ltering algorithms and computing techniques have been developed, but spammers continuously adjust their spam methods to stay one step ahead of them. We present here a method which makes use of binary and continuous probability distributions for the creation of spam. Naive Bayes and Decision trees How much model error affects the decision tree’s efficiency and accuracy is measured. The classi er with the best accuracy to correctly distinguish non-spam and nonspam emails has been found. this error also results in increasing the roll-out of invalid information to unnecessary customers, as well as increasing the probability of including harmful elements. The problem of spammers and scammers in today’s online communities has been known in some circles for some time. At the moment, play out a search of ways to identify Twitter spam methods A conceptualisation of the Twitter recognitions shows that the techniques lean toward recognising fakes, (ii) in places, (iii) web clients, and (iv) spammers use URLs to assist in making the product. Furthermore, the procedures may be analysed, including, for example, customers, material, structure, and time. It’s reassuring to know that this exhibition would be a source of understanding for researchers on social media on their own.

Sentiment Analysis on Social Network

As the Web quickly advances, Web clients are developing with it. In a time of social connectedness, individuals are turning out to be increasingly more excited about associating, sharing, and teaming up through informal communities, online networks, sites, Wikis, and other online communitarian media. Lately, this aggregate insight has spread on various zones, with specific spotlight on fields identified with regular daily existence, for example, business, the travel industry, instruction, and wellbeing, making the size of the Social Web extend exponentially

ADAPTATION OF THE WEB-SERVICE OF AIR POLLUTION FORECASTING FOR OPERATION WITHIN CLOUD COMPUTING PLATFORM OF THE UKRAINIAN NATIONAL GRID INFRASTRUCTURE

Introduction. Air pollution modeling is a powerful tool that allows developing scientifically justified solutions to reduce the risks posed by atmospheric emissions of pollutants. Problem Statement. Cloud computing infrastructures provide new opportunities for web-based air pollution forecasting systems. However the implementation of these capabilities requires changes in the architecture of the existing systems. Purpose. The purpose is to adapt the web service of forecasting the atmospheric pollution in Ukraine to operate in the cloud computing platform of the Ukrainian National Grid infrastructure. Materials and Methods. The web client – web server – cloud computing architecture was used. The calculation of the model is performed in the cloud infrastructure, while the client and server parts operate on separate computers. Results. With the developed service the forecast of air pollution is possible for every point at the territory of Ukraine for more than thirty substances, including chlorine, ammonia, hydrogen sulfide and others. The forecast is performed using the data of the WRF-Ukraine numerical weather prediction system and visualized through a web interface. The capabilities of the developed system were demonstrated by the example of simulation of air pollution in part of Kyiv affected by the releases from the Energia incineration plant during pollution episode in September, 2019. The total releases of toluene gas from incineration plant and from the fire on spontaneous waste landfill, which is located a few km from Kyiv, were estimated and analyzed. For the considered period the fire could bring considerable additional amounts of pollutants to the studied region. The confidence interval for the maximum airborne concentration for the considered period is estimated from 0.7 to 2.1 mg·m-3 which is higher than the permissible value (0.6 mg· m-3). Conclusions. The presented system could be used by institutions responsible for response to environmental accidents. Keywords: air pollution, atmospheric dispersion, web-systems, cloud computing. Introduction. Air pollution modeling is a powerful tool that allows developing scientifically justified solutions to reduce the risks posed by atmospheric emissions of pollutants. Problem Statement. Cloud computing infrastructures provide new opportunities for web-based air pollution forecasting systems. However the implementation of these capabilities requires changes in the architecture of the existing systems. Purpose. The purpose is to adapt the web service of forecasting the atmospheric pollution in Ukraine to operate in the cloud computing platform of the Ukrainian National Grid infrastructure. Materials and Methods. The web client – web server – cloud computing architecture was used. The calculation of the model is performed in the cloud infrastructure, while the client and server parts operate on separate computers. Results. With the developed service the forecast of air pollution is possible for every point at the territory of Ukraine for more than thirty substances, including chlorine, ammonia, hydrogen sulfide and others. The forecast is performed using the data of the WRF-Ukraine numerical weather prediction system and visualized through a web interface. The capabilities of the developed system were demonstrated by the example of simulation of air pollution in part of Kyiv affected by the releases from the Energia incineration plant during pollution episode in September, 2019. The total releases of toluene gas from incineration plant and from the fire on spontaneous waste landfill, which is located a few km from Kyiv, were estimated and analyzed. For the considered period the fire could bring considerable additional amounts of pollutants to the studied region. The confidence interval for the maximum airborne concentration for the considered period is estimated from 0.7 to 2.1 mg·m-3 which is higher than the permissible value (0.6 mg· m-3). Conclusions. The presented system could be used by institutions responsible for response to environmental accidents.

Dynamic Inference Approach Based on Rules Engine in Intelligent Edge Computing for Building Environment Control.

Computation offloading enables intensive computational tasks in edge computing to be separated into multiple computing resources of the server to overcome hardware limitations. Deep learning derives the inference approach based on the learning approach with a volume of data using a sufficient computing resource. However, deploying the domain-specific inference approaches to edge computing provides intelligent services close to the edge of the networks. In this paper, we propose intelligent edge computing by providing a dynamic inference approach for building environment control. The dynamic inference approach is provided based on the rules engine that is deployed on the edge gateway to select an inference function by the triggered rule. The edge gateway is deployed in the entry of a network edge and provides comprehensive functions, including device management, device proxy, client service, intelligent service and rules engine. The functions are provided by microservices provider modules that enable flexibility, extensibility and light weight for offloading domain-specific solutions to the edge gateway. Additionally, the intelligent services can be updated through offloading the microservices provider module with the inference models. Then, using the rules engine, the edge gateway operates an intelligent scenario based on the deployed rule profile by requesting the inference model of the intelligent service provider. The inference models are derived by training the building user data with the deep learning model using the edge server, which provides a high-performance computing resource. The intelligent service provider includes inference models and provides intelligent functions in the edge gateway using a constrained hardware resource based on microservices. Moreover, for bridging the Internet of Things (IoT) device network to the Internet, the gateway provides device management and proxy to enable device access to web clients.

HTTP-Request Classification in Automatic Web Application Crawling

The problem of automatic requests classification, as well as the problem of determining the routing rules for the requests on the server side, is directly connected with analysis of the user interface of dynamic web pages. This problem can be solved at the browser level, since it contains complete information about possible requests arising from interaction interaction between the user and the web application. In this paper, in order to extract the classification features, using data from the request execution context in the web client is suggested. A request context or a request trace is a collection of additional identification data that can be obtained by observing the web page JavaScript code execution or the user interface elements changes as a result of the interface elements activation. Such data, for example, include the position and the style of the element that caused the client request, the JavaScript function call stack, and the changes in the page's DOM tree after the request was initialized. In this study the implementation of the Chrome Developer Tools Protocol is used to solve the problem at the browser level and to automate the request trace selection.

A Time-Based Dynamic Operation Model for Webpage Steganography Methods

The webpage steganography technique has been used for a covert communication method for various purposes in which a sender embeds a secret message into a plain webpage file like an HTML file by using various steganography methods. With human eyes, it is very difficult to distinguish between the original webpage (cover webpage) and the modified webpage with the secret data (stego webpage) because both are displayed alike in a web browser. In this approach, when two communicating entities want to share a secret message, a sender uploads a stego webpage to a web server or modifies an existing webpage in the web server by using a webpage steganography method, and then a receiver accesses the stego webpage to download and extract the embedded secret data from it. Meanwhile, according to our extensive survey, we observed that most webpage steganography methods focused on proposing or improving steganography algorithms but did not well address how to operate a stego webpage as time passes. However, if a stego webpage is used in a static way such that the stego webpage does not change and is constantly exposed to web clients until the sender removes it, such a static operation approach will limit or badly affect the hiding capacity and undetectability of a webpage steganography method. By this motivation, in this paper, we proposed a time-based dynamic operation model (TDOM) that improves the performance of existing webpage steganography methods in terms of hiding capacity and undetectability by dynamically replacing the stego webpage with other stego webpages or the original webpage. In addition, we designed two time-based dynamic operation algorithms (TDOA-C and TDOA-U), which improve the hiding capacity of existing methods and TDOA-U for improving the undetectability of existing methods, respectively. To validate our model and show the performance of our proposed algorithms, we conducted extensive comparative experiments and numerical analysis by implementing two webpage steganography methods with our TDOM (CCL with TDOA-C and COA with TDOA-C) and tested them in the web environment. According to our experiments and analysis, our proposed algorithms could significantly improve the hiding capacity and undetectability of two existing webpage steganography methods.

A Future Image for Web Services' Discovery with A Client Web Based Interface (Dept.E)

A Future Image for Web Services' Discovery with A Client Web Based Interface (Dept.E)

Optimized mobility management protocol for the IoT based WBAN with an enhanced security

Today, Wireless Sensor Network (WSN) is widely used for general purposes. With the propagation of the Internet of Things (IoT), security issues arise wherever the healthcare devices are used exclusively for data transfer protocols. These network protocols are easily susceptible to attack. Although it is problematic to save sensing information from the body sensors, the loss of signal messages will often occur in an IoT environment. Thus security is a supreme requirement in health care applications, especially in the case of patient privacy. In this paper, an IoT health care communication system is designed to implement the integration using CoAP based Secure-aware Mobility Management Protocol (CoSMP) in Wireless Body Area Network (WBAN) based IoT environment. The proposed protocol is extremely effective to secure the sensing information of the device node wherever they are moving and additionally, it is accustomed to offer secure data transmission between the node and web client. Our protocol establishes a pairwise key between the networks according to an exact algorithm, namely Advanced Encryption Standard Cipher Feedback Message Authentication Code (AES-CFMAC) algorithm, and handover operation could be authenticated by Elliptic Curve Digital Signature Algorithm (ECDSA). Numerical analysis and performance result imposes the proposed scheme is simulated in terms of network delay and handover delay. Experimental results depict that the proposed protocol has been compared with the previous protocol in terms of security and mobility management. Hence, the numerical result would be evaluated based on the measures of Total Transmission Delay (TTD) on the variation of wireless link delay, sensor node delay, link failure probability delay, hop count between the gateway and WMMS in the network delay with the low delay of 303.55, 1.6, 700 and 80 in ms respectively and also performance measures of Handover Delay (HD) achieves 1212.5, 1.212, 49.46 and 1453.8 in ms respectively. The percentage in terms of using performance measures of TTD and HD is compared between proposed and existing schemes resulted in (COMP = 0.3632%, COMP-G = 0.2712 % and COSMP = 0.2532%) and (COMP = 0.3188%, COMP-G = 0.2421 % and COSMP = 0.2133%) respectively.

Control and remote monitoring of the vertical machining center by using the OPC UA protocol

The article discusses the possibilities of using the OPC UA protocol to collect information from CNC machines and graphically represent data about the technological process, according to Industry 4.0 concept. A generalized organization structure of NC kernel with an embedded SoftPLC module, OPC UA server and various types of OPC UA clients has been developed. The mechanism of interaction between the NC kernel and the standalone OPC UA server is proposed. The possibility of developing a remote OPC UA web client based on the Node-red programming tool has been investigated.

Self-learning Courses EaD to qualify clinical practice

Abstract Background Health service evaluation studies point to the low quality of care, however the permanent education of health professionals is a major challenge. Within the scope of the Open University for the Unified Health System (SUS), the Department of Social Medicine of the Federal University of Pelotas produced open access self-learning courses, for primary health care, based on interactive clinical cases, through distance learning. Methods The courses, with 45 hours, provides interactive clinical cases, medical calculators and textual materials for use by the professional or with the community. The cases are presented and followed by multiple choice questions, focusing diagnosis and treatment. The feedback is automatic. An expanded theoretical content ('learn more') that privileges the use of illustrations, images, infographics and flowcharts useful for professional practice can be accessed. Bibliographical references on the subject are also available. The courses are available in a responsive web client app, for various types of devices, providing control of progress and automatic certification. The app allows the work offline, enabling the permanent education of professionals working in remote areas. Results Six courses were produced for doctors, nurses and dentists, more than 30,000 users were certified. Conclusions This problem-based learning initiative allows the student to have a menu of cases, providing a choice of the subject, decision on the time allocated to the activity, repetition according to its need, access to a large bibliography and reading in the quantity and depth chosen by the student. In addition, the format is challenging and develops clinical reasoning. The proposition of questions promotes the reflection of the student in relation to his knowledge on the subject. Automatic feedback, 'learn more' and selected bibliographies provide formative assessment and subsidize students to define their study needs in each subject. Key messages Distance learning expands the possibility of qualifying the clinical practice of health professionals, especially those in remote areas. Interactive clinical cases provide the development of clinical reasoning, content review and promote formative assessment.

Adapting Hands-on Laboratory’s Materials and Embedded Systems from Local Use to Remote Experimenting through Internet

This paper presents the work of adapting hands-on laboratory’s materials of NI Elvis and Quanser from in-poste exploit to online access and remote exploit for online experimenting, after analyzing different aspects of adapting any hands-on laboratory’s material of in-place experimenting to remote exploit. This paper presents the work of developing a software multiplexing technique, and other techniques, to multiplex between different software codes and programs, in order to control different types of experiments in electronic of energy while using and sharing the same physical components and materials nearly simultaneously. In addition, this paper presents the work of creating web client interfaces; to use those embedded systems of NI Elvis and Quanser and their deployed experiments through the internet while relying on an e-learning platform of our remote lab to support their remote access. The principal advantage of conducted adaptations is sharing the same hardware and software resources between different experiments at the same time, while exploiting them locally and through the internet by multiusers.

An Approach to Industrial Automation Based on Low-Cost Embedded Platforms and Open Software

This paper presents a performance evaluation of the development of the instrumentation, communications and control systems of a two-tank process by using low-cost hardware and open source software. The hardware used for automating this process consists of embedded platforms (Arduino and Raspberry Pi) integrated into programmable logic controllers (PLCs), which are connected to a supervisory control and data acquisition (SCADA) system implemented with an open source Industrial Internet of Things (IIoT) platform. The main purpose of the proposed approach is to evaluate low-cost automation solutions (hardware and software) within the framework of modern industry requirements in order to determine whether these technologies could be enabling factors of IIoT. The proposed control strategy for regulating tank levels combines the classic PID algorithm and the fuzzy gain scheduling PID (FGS-PID) approach. Fault detection capabilities are also enabled for the system through a fault detection and diagnosis module (FDD) implemented with an extended Kalman filter (EKF). The distributed controller’s (DC) algorithms are embedded into the PLC’s processors in order to demonstrate the flexibility of the proposed system. Additionally, a remote human to machine interface (HMI) is deployed through a web client of the IIoT application. Experimental results show the proper operation of the overall system.

Online shopping: A current and futuristic scope of world’s market

Web based shopping is a type of web based business which grants customers to straightforwardly buy products or administrations from a dealer by utilizing the Internet. Expanding quantities of individuals are floating towards progressively serious utilization of the Internet as the openness of innovation, the accessibility of data, and the capacity to interface through the Internet increment and advance Indian market is commanded by sloppy players yet there is potential in the zone of retail players too. Passage of greater players, for example, Big Bazaar, More and so on to even in the country regions is made ready of development in its division. India is one of the quickest developing web based business markets around the world, with a large number of new web clients exploiting modest versatile associations with send portable messages, watch online recordings, utilize versatile administrations, and obviously, to shop.

Hyperledger F abric Block chain for data S ecurity in IOT D evices

Data security for IOT devices is very import aspect these days as the world is moving towards digitalization. Consider a smart energy meter which provides a way to monitor the energy consumption at home, data security in such smart meter reading is very important. If the Power reading signals are tampered, then it may cause serious economic loss for the authorities. The personal information infringement of user can occur at the database and may fall in the hands of unethical persons. In order to address these issues in this paper we propose to use a permissioned blockchain network. Blockchain maintains time stamped ledger records that are very hard to tamper. Every transaction is recorded and distributed across many participant nodes, these records are immutable because they have blocks of data which are linked to each other with strong cryptographic hash. The blockchain network is built using hyperledger fabric, where all the participant nodes are registered and only registered nodes involve in consensus process of transaction. In fabric, MSP (membership service provider) identifies the identity of the participant nodes through X.509 digital certificates issued by certificate authority. Along with creation of blockchain network for the application, a mobile client, a web client, an Arduino client and web server is created. The Arduino client is the hardware module that has an energy meter (SDM120) measuring the energy consumption of the user and sends this information serially to NODEMCU. NODEMCU POSTs the read energy details to the web server at particular api, web server POSTs the details to the Blockchain Network, where transactions undergoes consensus to add this information to blockchain ledger. Now data is decentralized and every peer node has the local copy of ledger. The updated information can be queried and seen on the web Client and Mobile client user interfaces. Anonymity-enhanced blockchain has been implemented to avoid the disclosure of personal information or data. Also performance analysis of the application is carried out for number of sequential requests and concurrent requests from many users using different tools.

A web-based brain metastases segmentation and labeling platform for stereotactic radiosurgery.

Stereotactic radiosurgery (SRS) has becomea standard of care for patients' withbrain metastases (BMs). However, the manualmultipleBMs delineation can be time-consuming and could create an efficiencybottleneck in SRS workflow. There is a clinical needfor automatic delineation and quantitative evaluationtools. In this study, building on our previous developed deep learning-based segmentation algorithms, we developed a web-based automated BMs segmentation and labeling platform to assist the SRS clinical workflow. This platformwas developed based on the Django framework, including a web client and a back-end server. The web client enables interactions as database access, data import, andimage viewing. The server performs the segmentation and labeling tasks including: skull stripping; deep learning-based BMs segmentation; and affine registration-based BMs labeling. Additionally, the client can display BMs contours with corresponding atlas labels, and allows further postprocessing tasks including: (a) adjusting window levels; (b) displaying/hiding specific contours; (c) removing false-positive contours; (d) exporting contours as DICOM RTStruct files; etc. RESULTS: We evaluated this platform on 10 clinical cases with BMs number varied from 12-81per case. The overall operation took about 4-5min per patient. The segmentation accuracywas evaluated between the manual contour and automatic segmentation withseveral metrics.The averaged center of mass shift was 1.55±0.36mm, theHausdorff distance was 2.98±0.63mm, the mean of surface-to-surface distance (SSD) was 1.06±0.31mm, andthe standard deviation of SSD was 0.80±0.16mm. In addition, the initial averaged false-positive over union (FPoU) and false-negative rate (FNR) were 0.43±0.19 and 0.15±0.10 respectively. After case-specific postprocessing, the averaged FPoU and FNR were 0.19±0.10 and 0.15±0.10 respectively. The evaluated web-based BMs segmentation and labeling platform can substantially improve the clinical efficiencycompared to manual contouring. This platform can be a useful tool for assisting SRS treatment planning and treatment follow-up.

Energy and quality of experience aware web browsing for smartphones

In this paper we propose a framework for improving the web browsing experience of users by reducing battery energy consumption and webpage load time, while maintaining the quality of experience for the user. This is made possible through a collaborative protocol between the web server and the web client application that works using HTTP header fields. The innovation herein lies in dynamically creating multiple versions of the webpages that differ in their quality of content and size, and then delivering an appropriate version to the client based on metrics related to the webpage and the user's phone relevant specifications. These metrics include the user's battery consumption profile, user's network speed, the sizes of the different versions of the webpage, and the estimated energy consumption of the versions. We implemented a prototype and validated the system in terms of maintaining the battery profile and enhancing the load time of different webpages. The results indicate that over 50% reduction in power consumption and 80% reduction in speed requirements (and hence download times) can be achieved as a result of switching over to a lower quality version of the webpage that is still in line with the users’ experience.

Protected Areas from Space Map Browser with Fast Visualization and Analytical Operations on the Fly. Characterizing Statistical Uncertainties and Balancing Them with Visual Perception

Despite huge progress in applying Earth Observation (EO) satellite data to protected areas, managers still lack the right tools or skills to analyze the data and extract the necessary knowledge. In this paper a set of EO products are organized in a visualization and analysis map browser that lowers usage barriers and provides functionalities comparable to raster-based GIS. Normally, web map servers provide maps as pictorial representations at screen resolution. The proposal is to use binary arrays with actual values, empowering the JavaScript web client to operate with the data in many ways. Thanks to this approach, the user can analyze big data by performing queries and spatial filters, changing image contrast or color palettes or creating histograms, time series profiles and complex calculations. Since the analysis is made at screen resolution, it minimizes bandwidth while maintaining visual quality. The paper explores the limitations of the approach and quantifies the statistical validity of some resampling methods that provide different visual perceptions. The results demonstrate that the methods known for having good visual perception, the mode for categorical values and the median for continuous values, have admissible statistical uncertainties.

Model-View-Controller based Context Visualization Method for Multimedia English Teaching System: A Case Study of Multimedia Technology Teaching

With the rapid development of multimedia technology, the medium of multimedia has become an indispensable part of in modern education. College English teaching should also be combined with multimedia technology because the traditional College English teaching has singular teaching method, limited teaching resource, poor learning efficiency and low interest of students. Therefore, this paper initiates to design a multimedia teaching system based on B/S network model and MVC design pattern for college English reading teaching. This teaching innovation is based on B/S network mode and MVC design mode, and is composed of Web service layer, client layer and database service layer. The system adopts B/S network and MVC design pattern fusion mode to realize hierarchical control, and different data classification. It refines the functional division of teaching resources, thus greatly improving the capacity of data circulation in the teaching system. The system function design includes four parts: user registration and login, teacher’s teaching, student’s learning and administrator’s management. The teacher’s teaching module completes the teacher's uploading and online answering function for college English reading materials. The student learning module enables students to obtain classroom learning content and reading resource. Finally, this research discovered that the design of this system has improved the students’ interest in learning English and the teaching quality has also been significantly improved.

SciBet as a portable and fast single cell type identifier

Fast, robust and technology-independent computational methods are needed for supervised cell type annotation of single-cell RNA sequencing data. We present SciBet, a supervised cell type identifier that accurately predicts cell identity for newly sequenced cells with order-of-magnitude speed advantage. We enable web client deployment of SciBet for rapid local computation without uploading local data to the server. Facing the exponential growth in the size of single cell RNA datasets, this user-friendly and cross-platform tool can be widely useful for single cell type identification.