Reviewerly/exHarmony huggingface dataset:
Bangla Sign Language Recognition Using a Concatenated BdSL Network

Sign language is the only medium of communication for the hearing impaired and the deaf and dumb community. Communication with the general mass is thus always a challenge for this minority group. Especially in Bangla sign language (BdSL), there are 38 alphabets with some having nearly identical symbols. As a result, in BdSL recognition, the posture of hand is an important factor in addition to visual features extracted from traditional Convolutional Neural (CNN). In this paper, a novel architecture Concatenated BdSL Network is proposed which consists of a CNN based image network and a pose estimation network. While the image network gets the visual features, the relative positions of hand keypoints are taken by the pose estimation network to obtain the additional features to deal with the complexity of the BdSL symbols. A score of 91.51% was achieved by this novel approach in test set and the effectiveness of the additional pose estimation network is suggested by the experimental results.
Correction to: Rotation Forest for multi-target regression

Unfortunately, Figs. 1 and 2 were published incorrectly in the online published article. The correct Figs. 1 and 2 are given below.
Patient Health Monitoring System Using IoT Techniques

The corona virus disease 2019 (COVID-19) has become a worldwide pandemic since the start of 2020. The disease has been considered as a Public Health Emergency of International Concern (PHEIC) by the World Health Organization (WHO) and thus the end of January 2020. Up to April 10, 2020, there are quite 1.5 million cases of COVID- 19 reported globally, with quite 92 thousand deaths. In this paper, a conveyable physiological checking methodology is displayed, which may continuously screen the patient’s heartbeat, temperature, blood oxygen level and other basic health parameters. We proposed a remote health monitoring system using IoT, that incessantly checks, the condition of a patient and the information is stored in the server using Wi-Fi module which can be accessed by the authorized person. The data are conveyed via portal to medical staff, where they're going to process and analyze the current situation of the patient.
Extractive Text-Image Summarisation in Hindi

: Today’s world has skyrocketed by the gathering and dissemination of huge amounts of data. A lot of this data is in text form which makes it very difficult to store and process. Hindi is the national language of India. Dataset of text-image summarization is not readily available for Hindi language and hence we created a dataset of 40558 news articles with images for the task and created extractive summaries for them. We did the evaluation using ROGUE and BELU metrics.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARIR BERBASIS WEB

This research aims to design a Decision Support System (DSS) to choose a job with web base. So that later this system can be a container consulting user or meember in determining the choice of type of work in accordance with the personality they have. The input data used is the result of personality tests then the data will be processed using Case Based Reasoning (CBR) method to be matched with the psychological value of personality then matched to the type of work then the system will give advice job vacancy according to his personality. The design of this system using structured system design model as data flow and object-based system design is Unified Modeling Language (UML), PHP as programming language with Codeigniter faramework, and MySQL as database. The results of this study is an application that can be used by the community to consult in determining the appropriate job type choices.
What Software Architecture Styles are Popular?

One can meet the software architecture style's notion in the software engineering literature. This notion is considered important in books on software architecture and university sources. However, many software developers are not so optimistic about it. It is not clear, whether this notion is just an academic concept, or is actually used in the software industry. In this paper, we measured industrial software developers' attitudes towards the concept of software architecture style. We also investigated the popularity of eleven concrete architecture styles. We applied two methods. A developers’ survey was applied to estimate developers' overall attitude and define what the community thinks about the automatic recognition of software architecture styles. Automatic crawlers were applied to mine the open-source code from the GitHub platform. These crawlers identified style smells in repositories using the features we proposed for the architecture styles. We found that the notion of software architecture style is not just a concept of academics in universities. Many software developers apply this concept in their work. We formulated features for the eleven concrete software architecture styles and developed crawlers based on these features. The results of repository mining using the features showed which styles are popular among developers of open-source projects from commercial companies and non-commercial communities. Automatic mining results were additionally validated by the Github developers survey.
Ransomware gang behind Colonial Pipeline attack, gas shortage motivated by spin and money – not politics

The ransomware gang responsible for the Colonial Pipeline attack claims it’s driven by money, not politics, and even insists it has a charitable streak.
Fast Separation Method of Continuous Recording Data in Dynamic Electrocardiogram Database

The square waves and pulses with obvious porter characteristics are inserted into each different adjacent existing dynamic electrocardiogram data to solve the time-consuming problem in the currently used manual input verification method. The standard database files are converted into analog siginals, then output automatically to the ECG acquisition device according to the sequence of the database files in one time. The data recorded in the acquisition equipment is separated according to the interval data protocol, so as to achieve the purpose of rapid digital examination of dynamic electrocardiogram.
Download BlueStacks 4 for Windows 10/8.1/7 (Official Latest)

Download BlueStacks 4.150.10.4006 (Latest Version) from here. Bluestacks is one of the most used Android emulators nowadays. In this post, you can ...
An Effective Image Compression Using HPEDD Demosaicking and Bilinear Interpolation

The image compression literature imparts the knowledge of image-demosaicking and image-interpolation for accompanying the effective lossy image compression. The demosaicking techniques diminishes the size of data to represent the image. The interpolation methods upsample the image effectively. The existing image compression techniques are suffered by less eye-perception-quality. To solve this drawback, in this paper both the techniques of demosaicking and interpolation are used to make an effective lossy image compression. This paper develops a novel image demosaicking method namely ‘Hexagon Pattern and Edge Direction guided Demosaicking (HPEDD)’ to have an better image compression. The HPEDD demosaicking and the Bilinear interpolation is integrated to have a better image compression method which is named as HPEDD-BL method. The HPEDD demosaicking method is involved with the concepts such as Green-Error, Discrete cosine transform (DCT) and Hexagon pattern. The experimental results show that the proposed method can make potential improvements in image compression than the existing methods in case of PSNR and Compression Ratio.
The Ontogeny of Deductive Reasoning

This chapter returns to the three main features of deduction defined in Chapter 1 from a cognitive, empirically informed perspective: necessary truth-preservation, perspicuity, and belief-bracketing. It discusses experimental findings that lend support to the dialogical conceptualization of these three features presented in Chapter 4. It also discusses the notion of internalization as formulated by Lev Vygotsky, which allows for an explanation of how deductive practices can also take place in purely mono-agent situations: as an intrapersonal enactment of interpersonal dialogues. The upshot is that framing deductive practices dialogically provides cognitive scaffolding that facilitates the ontogenetic development of deductive reasoning in an individual.
An intelligent deep learning enabled residual network for age estimation model using facial images

The human face rrrconveys rrrimportant rrrinformation rrrlike rrridentity, rrrexpression, rrrethnicity, rrrgender, rrrage, rrretc. rrrAge rrrestimation rrrfrom rrrfrontal rrrfacial rrrimages rrrbecomes rrressential rrrin rrrdiverse rrrapplications rrrsuch rrras rrrindividual rrrauthentication, rrrforensic rrrresearch, rrrsecurity rrrcontrol, rrrhuman–computer rrrinteraction, rrrsocial rrrmedia, rrretc. rrrBut rrrit rrris rrrdifficult rrrprocess rrrowing rrrto rrrlarge rrrdifferences rrrin rrrfacial rrrappearances rrrwith rrrdifferent rrrintrinsic rrrand rrrextrinsic rrrfactors. rrrSeveral rrrexisting rrrtechniques rrrmake rrruse rrrof rrrhandcrafted rrrfeatures rrrfor rrrencoding rrrthe rrraging rrrpatterns. rrrRecently, rrrdeep rrrlearning-based rrrage rrrestimation rrrusing rrrfacial rrrimages rrris rrrbecoming rrrmore rrrand rrrmore rrrimportant. rrrEarlier rrrworks rrrhave rrrfocused rrron rrrthe rrrusage rrrof rrrDL rrrmodels rrrpretrained rrrto rrrrecognize rrrfaces, rrrwhich rrrcarries rrrout rrrfine rrrtuning rrrprocess rrrfor rrrprecise rrroutcomes. rrrWith rrrthis rrrmotivation, rrrthis rrrpaper rrrpresents rrran rrrintelligent rrrdeep rrrlearning rrrenabled rrrResidual rrrNetwork rrrfor rrrage rrrestimation rrrmodel rrr(IDLRN-AEM) rrrusing rrrfacial rrrimages. rrrThe rrrpresented rrrIDLRN-AEM rrrmodel rrruses rrrthe rrrfacial rrrimages rrras rrrinput rrrand rrrit rrremploys rrrthe rrrDL rrrbased rrrResNet-152 rrrmodel rrras rrra rrrfeature rrrextractor. rrrThe rrrpresented rrrIDLRN-AEM rrrmodel rrrcarries rrrout rrra rrrfeature rrrlevel rrrfusion rrrprocess rrrusing rrrthe rrrlinear rrrdiscriminant rrranalysis rrr(LDA) rrrtechnique, rrrwhich rrrminimizes rrrthe rrrdimensionalities rrrof rrrthe rrrfeature rrrspace rrrand rrrdetermines rrrthe rrrperson’s rrrage rrrusing rrrkernel rrrextreme rrrlearning rrrmachine rrr(KELM). rrrIn rrrorder rrrto rrroptimally rrrtune rrrthe rrr‘kernel rrrparameter’ rrrand rrr‘penalty rrrparameter’ rrrparameters rrrof rrrthe rrrKELM rrrmodel, rrrthe rrrchaotic rrrbrain rrrstorm rrroptimization rrr(CBSO) rrralgorithm rrris rrremployed rrrin rrrsuch rrra rrrway rrrthat rrrthe rrrclassification rrrperformance rrrcan rrrbe rrrimproved. rrr rrrThe rrrperformance rrrvalidation rrrof rrrthe rrrIDLRN-AEM rrrmodel rrrtakes rrrplace rrrusing rrrdifferent rrrdatabases rrrand rrrexamines rrrthe rrrresults rrrinterms rrrof rrrdifferent rrrmeasures. rrrThe rrrexperimental rrrresults rrrshowed rrrthat rrrthe rrrIDLRN-AEM rrrmodel rrris rrrfound rrrto rrrbe rrrefficient rrrover rrrthe rrrother rrrrecent rrrstate rrrof rrrart rrrmethods. rrr
Kruskal-Wallis Test Analyzed The Basic Security of Video Conferencing In India

This study describes how video conferencing saves a person profits and time, reduces travel costs, and stimulates its participation everywhere. These Video conferencing is a technique for visual correspondence in which eye-to-eye and direct contact takes place without any traffic. It shows the behavioral development of social events, workshops, and instructional courses by exchanging these ongoing communications with the help of the website. Furthermore, it provides cost reduction and profitability and safe living for long-distance travelers and enables its service to run smoothly without any hindrance. With the development of this information technology, it has become very important for various activities such as online video conferences. At the same time, the method of video conferencing has been safely developed without giving place to online crimes. There is a huge gap between basic security and its impacts on society, and gaps need to be analyzed to improve the situation. Accordingly, when 243 samples were taken to explore the primary video conferencing type of security and explored through the Kruskel-Wallis test, various advantages emerged. This research method shows separate box plots regarding primary video conferencing security. Various companies are making HD video calls from their favorite gadgets that can be connected to the Internet from anywhere and run in minutes with safe operations explore its applications through this amazingly advanced cloud video conferencing.
Cuckoo Search inspired VM migration and allocation based on Neural Architecture

In the current scenario, with the rising popularity of cloud computing, the network virtualization is gaining attention thorough out the world. The network virtualization functions to balance the work load of servers by distributing the task among various virtual machines without compromising Service Level Agreement (SLA) conditions. However, this idea has an adjoining challenge of energy consumption. In the present paper, authors had proposed a Cuckoo Search (CS) optimized Virtual Machine (VM) allocation and migration architecture which takes advantage of multi-layered neural architecture. The identification of the best VM using CS the information is passed to Support Vector Machine (SVM) and the trained support vectors are fed to the neural network. The simulation analysis conducted over 100 VMs had demonstrated that the proposed design proved to minimize the energy consumption by reducing the number of VM migrations while exhibiting least SLA violations. The comparative analysis against existing work demonstrated the percentage improvement of 6% in reducing number of VM migrations that reduced the energy consumption by 4% while exhibiting 2% reduction in SLA violations.
A Study on the Promotion of College Students’ E-reading Behavior Based on the Reading Behavior of Colleges and Universities

Abstract Reading changes people’s lives, and the depth of E-reading influences people’s life style. This paper takes the promotion and analysis of E-reading behavior as the breakthrough point, takes college students as the analysis object of reading promotion behavior, analyses the matters needing attention in the process of promoting reading behavior of college students in our country at present, and puts forward some suggestions and measures.
Analysis of Community Awareness Against Threats to Personal Data Security Through Phishing Websites

The threat of personal data security is a very sensitive matter lately, Website Phishing is one of the activities that can trap and threaten someone by deceiving that person. From the results of the Phishing Website, the victim indirectly provides data or information about the victim to the trapper. In this case, Phishing Websites are one of the cyber crimes that are still very often used to retrieve victim data. "What is expected from this research is to obtain a percentage value related to the level of public awareness of the crime of phishing where many people are still unfamiliar with the crime that is increasingly happening through social media, one of which is WhatsApp". Phishing website attacks are carried out by creating a fake website address that is as similar as possible to the original website, then the trapper sends this Phishing website address to the target/victim via Whatsapp social media. In this study, the data collection method will use the quantitative method, which is how to make a questionnaire that will be filled out by 80 respondents who come from the general public who are still unfamiliar with technology. The results of this study will contain the presentation of respondents to the awareness of Phishing Websites, it is hoped that this research will make the general public who are still unfamiliar with Phishing Websites more careful about website threats that can attack at any time.
Autentification, authorization and administration

Basic concepts and classification. It depends on each entity registered in the computer system (user or process acting on behalf of the user) and the information that identifies it in one sense. This can be a number or a string of characters that names the subject. This information is called the subject identifier. If a user has an identifier registered on the network, he or she is considered a legal or otherwise illegal user. Before using computer resources, the user must go through the process of identification and authentication of the computer system. Password-based authentication. One of the most common authentication schemes is simple authentication, which is based on the use of traditional multiple passwords. A simple user authentication procedure for a network can be imagined as follows. When a user tries to use the network, he types his ID and password on the computer keyboard. This information is sent to the authentication server for processing. A reference is found in the database for the user ID stored on the authentication server, from which the password is found and compared with the password entered by the user. Certificate-based authentication. When the number of users on a network is measured in millions, the initial user registration process associated with assigning and storing user passwords can be very large and difficult to implement. In this case, authentication based on digital certificates is a rational alternative to the use of passwords. When digital certificates are used, the computer does not store any information about network users. Such information is provided by the users themselves in the request-certificates. In this case, the responsibility for storing confidential information, especially secret keys, rests with the user[1,2].
Secure Watermarking Technique for Color Images using Aadhar Number, DWT and SVD

In the current situation the use of electronic devices like mobile, laptop, computer, ear phone etc has been increased in the daily routine activities specially in COVID-19. The education sector and IT industries are almost fully working in online mode in the today environment by sharing of their content in the form of digital data or multimedia data. The digital data is increasing in large scale every day and due to this increasing large amount of data, new research areas has been come introduced like bigdata, data analytic, data science etc to manage the digital data in the better or proper way. But with this the other property of digital data like its security, copyright protection, Copy control, Content authentication, Integrity verification etc.  are also major concerns. The digital data or multimedia data basically includes text, images, audio, video, software etc. of individuals / organizations. Each persons or organizations are sharing his/her digital data like videos, images, messages, etc. through social media (i.e., Say namaste, Telegram, Snapchat, Instagram, WhatsApp, Facebook, etc.) to other persons or organization without any authentications. This general activity of persons has been increased in the today’s life and some persons are observing them and doing the fraud with them or misusing their digital data without his awareness. Sometimes it becomes major problems in term of legal issues. To ensure the authentication of digital data (photos), this paper proposed secure watermarking technique for color images using Aadhar number, DWT and SVD methodologies. The proposed methodology is best to protect from fraud or misuse from all type of color images shared in the public domain or globe. The experimental results are shown in different form which shows this technique is more secure and very useful for society when they are sharing their family photos in the globe.
High Capacity Data Hiding for AMBTC Decompressed Images Using Pixel Modification and Difference Expansion

Data hiding can embed secret data into various multimedia to avoid hackers’ doubt and attacks. Recently, methods of embedding data into decompressed images have been proposed because they are very suitable for military communications. In this paper, we propose an improved strategy to enhance the hiding capacity of the previous AMBTC-based hiding methods that cannot embed secret data into the smooth block. In addition, the developers did not investigate the problems related to the overflow or underflow of pixels. Consequently, we also proposed an effective strategy to avoid overflow and underflow problems with no needs need to record extra data. With the advantages, the proposed method can achieve high embedding capability.
Traffic Congestion Control using Surveillance Camera

A primary purpose of this research is to track a traffic situation from a traffic picture on the road for the Traffic Congestion Investigating Program by Image Processing.Then in a particular time, a client will search in advance for a traffic situation.The system provides an input to process a traffic picture from a surveillance camera in the network.The machine then detects congestion for traffic and gets the results in three traffic conditions including Flow, High, and Jammed.Eventually, for transport planning or intersection traffic control, a user can use the device.The system uses an image processing method to evaluate a traffic situation for implementation.
Smart Governance With Cloud Computing

A typical comprehension of "cloud computing" is constantly advancing, and the phrasing and "cloud computing" was begat for what happens when services and applications are moved into the internet that is cloud. Cloud processing is not something that abruptly seemed overnight; in some structure it may follow back to a period when computer system frameworks remotely time-shared registering assets and applications. All the more presently however, cloud computing alludes to the a wide range of sorts of applications and services being conveyed in the cloud and the way that, much of the time, the devices used to get to these services don't require any unique applications. With the help of cloud computing, you can utilize programming conveyed through the Internet on the pro gram with no installation, have an application on the Internet, set up your own storage of remote file and database framework and that's just the beginning. Cloud itself is a virtualisation of resources like servers, networks, applications, services and data storage) and allows on-demand access for the users. Due to numerous advantages of cloud computing - government sector is also affected. In this paper I give an overview, how cloud computing grows in government sector across the globe.
A Study on the Calculation and Provision of Accruals-Quality by Big Data Real- Time Predictive Analysis Program

Accruals-Quality(AQ) is an important proxy for evaluating the quality of accounting information disclosures. High-quality accounting information will provide high predictability and precision in the disclosure of earnings and will increase the response to stock prices. And high Accruals-Quality, such as mitigating heterogeneity in accounting information interpretation, provides information usefulness in capital markets. The purpose of this study is to suggest how AQ, which represents the quality of accounting information disclosure, is transformed into digitized data in real-time in combination with IT information technology and provided to financial analyst's information environment in real-time. And AQ is a framework for predictive analysis through big data log analysis system. This real-time information from AQ will help financial analysts to increase their activity and reduce information asymmetry. In addition, AQ, which is provided in real time through IT information technology, can be used as an important basis for decisionmaking by users of capital market information, and is expected to contribute in providing companies with incentives to voluntarily improve the quality of accounting information disclosure.