Reviewerly/exHarmony huggingface dataset:
Organize and Supervise Resources in Multi-account of AWS

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Two–Parameter Chi-squared Analysis

The chi-squared parameter estimation and model testing methodology is extended to the two-parameter case of a line with a slope and an intercept. Chi-squared is shown to be a paraboloid and is displayed in a contour plot. Techniques for extracting parameter correlations and uncertainties are developed. End-of-chapter problems are included (with solutions in an appendix).
Integrated HNAS Network Model Based Lossless Compression with Data Hiding using Parity Check in Medical Images

A massive volume of medical data is generating through advanced medical image modalities. With advancements in telecommunications, Telemedicine, and Teleradiologyy have become the most common and viable methods for effective health care delivery around the globe. For sufficient storage, medical images should be compressed using lossless compression techniques. In this paper, we aim at developing a lossless compression technique to achieve a better compression ratio with reversible data hiding. The proposed work segments foreground and background area in medical images using semantic segmentation with the Hierarchical Neural Architecture Search (HNAS) Network model. After segmenting the medical image, confidential patient data is hidden in the foreground area using the parity check method. Following data hiding, lossless compression of foreground and background is done using Huffman and Lempel-Ziv-Welch methods. The performance of our proposed method has been compared with those obtained from standard lossless compression algorithms and existing reversible data hiding methods. This proposed method achieves better compression ratio and a hundred percent reversible when data extraction.
The Background

The central fact in the history of education in India during the first half of the nineteenth century was the introduction of the English language through schools modeled after the English system of education of that period and the gradual decay of the indigenous educational institutions and of the cultivation of indigenous languages and learning. English education was in great favor with large and influential sections of the people both for cultural and economic reasons, and a large number of mercenary schools were opened along with the better type of modern schools. Thus, by the time Rabindranath Tagore was born, indigenous system of education had been considerably eclipsed by new type of English Schools. Elementary mass education had come to be neglected whereas higher education at secondary schools or the universities for the upper classes received encouragement. Elementary mass education had come to be neglected whereas higher education at secondary schools or the universities for the upper classes received encouragement.
Fusion Application of Cloud Computing Technology in the Field of Artificial Intelligence

research-article Fusion Application of Cloud Computing Technology in the Field of Artificial Intelligence Share on Author: Wei Wang Beijing Institute of information technology, China Beijing Institute of information technology, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 289–292https://doi.org/10.1145/3495018.3495067Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Augmented Lagrangian – fast projected gradient algorithm with working set selection for training support vector machines

We present an algorithm for training Support Vector Machines (SVM) for classification based on fast projected gradient, augmented Lagrangian methods and a working set selection principle.The algorithm is capable of training SVM with tens of thousands data points within seconds on a modern personal computer system.The algorithm can be parallelized and therefore it is suitable for multi processor environment.We describe the algorithm, provide numerical results for solving medium size problems and discuss future directions of speeding up the SVM training.
Rhetorical Analysis of an Organizational Artifact: A University’s Response in Defense of Hate Speech

In 2017, a hate speech flier targeting the LGBTQ community was posted in the main classroom building at Cleveland State University (CSU).This article explores the rhetoric surrounding the hate speech posted at this institution.The President's insensitive email response to this hate speech sparked outrage from students, faculty, staff, and the public.To correct his mistake, he delivered an apologia.In this study, I analyze the President's email response to the hate crime and his apology to the university.His apologia reveals strong evidence of emotional intelligence (pathos), an appeal to the university's credibility (ethos), and use of claims and evidence (logos) which were all lacking in his initial email to the hate speech.
Performance Analysis of Face Detection system using HOG and QualHOG Features

Inspired by the expansion of minimal effort advanced cameras in cell phones being conveyed in computerized systems, we think about the connection between perceptual picture quality and an exemplary PC vision errand of face recognition. We measure the corruption in execution of a well known and compelling face detector when human-saw image quality is corrupted by twists usually happening in catch, stockpiling, and transmission of facial pictures, including clamor, obscure, and pressure. It is observed that, inside a certain scope of picture quality, an unobtrusive increment in picture quality can radically enhance face recognition execution. These outcomes can be utilized to guide asset or transfer speed distribution in securing or correspondence/conveyance frameworks that are connected with face location undertakings. In this work a perceptual quality QualHOG feature is used. Face locators prepared on these new components give measurably huge change in resilience to picture bends over a solid gauge. Distortion dependent which is more distorted uninformed variations of the face indicators are proposed and assessed on a huge database of face pictures speaking to an extensive variety of mutilations. A one-sided variation of the preparing calculation is additionally recommended that further improves the power of these face locators. To encourage this exploration, we have developed another dataset in our lab for further study.
Simulation of MC-DS-CDMA-System Based on: Wavelet and Slantlet Transforms over Wireless Channel

In this paper two proposed schemes for improving the performance form the Bit Error Rate (BER) view point were proposed for Multicarrier-Direct-Sequence-Code Division Multiple Access (MC-DS-CDMA) system in wireless channel.The conventional MC-DS-CDMA-system is based on Fast Fourier Transform (FFT).One of the proposed systems was based on Wavelet transform (WT).The other system was based on Slantlet transform (SLT).Simulation is done in three different types of channels.Simulation results show that the two proposed systems outperform the conventional system.Also the MC-DS-CDMA-system which is based on SLT achieves the same performance with less filter lengths than the MC-DS-CDMA-system based on WT.
The troika of artificial intelligence, emotional intelligence and customer intelligence

Emotional intelligence is to recognise emotions and emotions can be recognised by analysing face. Face reflects emotions, and thus facial images can help to identify emotions. Emotions recognition can help in conducting qualitative market research techniques like focus groups; in-depth interviews and other which can be used to generate customer intelligence. This paper provides a cross-disciplinary view of Intelligence. This paper proposes a machine learning-based model to accomplish the task of identifying emotions from given facial images. This paper uses a public database and divides the images into four groups. The feature extraction has been done by principal component analysis and the feature selection by fisher discriminant ratio. The classification has been done by support vector machine using k cross-validation. The accuracy, specificity and sensitivity are encouraging. The average accuracy is 0.84
The Development of Mapping, Covering and Control Strategies for a Vacuum Cleaner Robot 

Modern households are becoming more and more convenient and intelligent by applying new technology to reduce the time spent on house chores. In this study, the authors proposed the mapping, covering strategies, and control algorithms for vacuum cleaner robot. The robot will automatically implement the cleaning task in a single pass. The sensor system includes infrared sensor, 9 Dof MPU 9250, Delta Lidar 2A, ultrasonic sensor to help robots navigate, build maps and detect obstacles. ROS system (Robot Operating System) is used to control and simulate vacuuming operation in real-world environments. The experiments are conducted in order to illustrate the superiority of the proposed approach.
Preface

It is our great honor and pleasure to introduce the Proceedings of the 2nd International Conference on Informatics, Engineering, Science, and Technology (INCITEST 2019). The second INCITEST was organized by Universitas Komputer Indonesia and was held in Bandung, Indonesia, on 18 July 2019. With the theme “Building Competitive Advantage to Face Industry 4.0” , the conference provides a platform to share ideas and current research in the areas of Informatics, Engineering, Science, and Technology with the participants from the scientist, engineers, researchers, practitioners, civil society and organization representative. Following the success of the first INCITEST, the enthusiasm of second international conference INCITEST has increased. The high enthusiasm was reflected from high number of paper submission with more than 350 papers from the participants coming from several cities and countries. Therefore, it is allowed multinational and cultural exchange of ideas in facing the issue and challenges in Industry 4.0. In order to improve the quality of the papers and extend the publication, all papers have been carefully selected and peer-reviewed. Following the success of the first INCITEST, the enthusiasm of second international conference INCITEST has increased. The high enthusiasm was reflected from high number of paper submission with more than 350 papers from the participants coming from several cities and countries. Therefore, it is allowed multinational and cultural exchange of ideas in facing the issue and challenges in Industry 4.0. In order to improve the quality of the papers and extend the publication, all papers have been carefully selected and peer-reviewed. We are looking forward to the third INCITEST next year that will be held on July, 2020 at the campus of Universitas Komputer Indonesia, Bandung, Indonesia. Thank you, Best Regards, Dr. Lia Warlina The Chief of the Conference
Learning Language Fundamentals

Aspiring Android app developers need to understand the Java language in which an app’s source code is written. This chapter introduces you to this language by focusing on its fundamentals. Specifically, you’ll learn about application structure, comments, identifiers (and reserved words), types, variables, expressions (and literals), and statements.
Template matching applied to the seismicity of the Albstadt Shear Zone, SW Germany

&amp;lt;p&amp;gt;The Swabian Alb near the town of Albstadt, SW Germany, is one of the seismically most active regions in Central Europe. Since the beginning of the twentieth century continuous seismic activity is observed. At least three earthquakes with magnitudes greater than 5 occurred, causing major damages on the buildings in the closer vicinity. Despite of the size of these earthquakes no rupture structures are visible on the Earth&amp;amp;#8217;s surface. Earthquake locations are concentrated along a N-S striking zone, the so-called Albstadt Shear Zone (ASZ), at focal depths of about 1 km to 18 km. The central part of this seismogenic zone has an extension of approximately 20 km to 30 km and is characterized by dominantly sinistral strike-slip focal mechanisms. &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;The State Earthquake Service of Baden-W&amp;amp;#252;rttemberg (LED) operates a dense seismic network of 6 high-gain and 9 strong-motion stations in the area of the ASZ. In 2015 and in 2018, 9 temporary high-gain stations were deployed nearby the center structure of ASZ within the framework of AlpArray Project and StressTransfer Network. This densified seismic network gives a unique opportunity to detect and locate the seismically active structures of the ASZ in more detail.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Therefore, a template matching algorithm is applied for microseismic earthquake detections. Results are compared with the existing earthquake catalog of the LED and statistics of the outcome are presented.&amp;lt;/p&amp;gt;
DE-Mosaicing using Matrix Factorization Iterative Tunable Method

A color image is captured though the single image sensor and it is named as the mosaicked image and this is obtained through the CFA where the pixels are arranged such that any one of the color from the given color component is recorded at every pixel. De-mosaicingis absolute reverse of mosaicking, where the process is to reconstruct the full color image from the given incomplete color samples. In past several methods of de-mosaicing have been proposed however, they have many shortcomings such as computational complexity and high computational load, not matching the original images. Hence we have proposed a methodology named as MFIT i.e. Matrix factorization Iterative Tunable approach, the main aim of this methodology is to improvise the reconstruction quality. In order to achieve the better reconstruction quality we have used the MFIT algorithm at each iteration this helps in avoiding the image artifacts and it is achieved through the image block adjustment also it reduces the computational load. Moreover in order to evaluate the proposed algorithm we have compared it with nearly 12 algorithm based on the value of PSNR and SSIM, the theoretical results and comparative analysis shows that our algorithm excels compared to the other existing method of de-mosaicing.
Enhanced Search Based Optimization Technique in Scheduling &amp; Staffing in Software Engineering

The venture exercises in any association are created in substantial yields for the administration to get the ideal outcomes. Programming Project Management is been exceptionally effective in supporting the undertaking supervisor needs. Rather than every one of the accomplishments in building up various instruments and aides, a sensible measure of ideas and practices in programming venture the executives did not depend on a principled thinking. Search-based Software Engineering is an ongoing field of research that applies Optimization systems to Software Engineering issues, including the booking and staffing. The objective of these advancement procedures is to help the administration basic leadership dependent on strong thinking. This paper plans to describe the ideas used to show the product venture booking, staffing issue, ACO (Ant Colony Optimization) Algorithm and Task planning to assess the techniques used to evaluate the outcomes. The calculation meets to the ideal last arrangement, by amassing the best sub-arrangements and outstanding burden will be limited and impacts in cost estimation. There exists a limited number of Software Engineering ideas utilized in these examinations and no reasonable application, i.e., in the business. A lot of search systems are utilized to address this issue. GA-based methodologies are the most utilized in the investigates (29%, 17 examinations). Heuristic systems, for example, Greedy calculations, are applied by 8 investigations (14%). Precise techniques, for example, Branch and Bound and Integer Linear Programming, are applied by 3 examinations (5%) and Hybrid methodologies by 9 investigations (16%). The assessment is tested by the absence of examination of potential perplexing variables.
An Efficient Data Mining Techniques - Multi-Objective KNN Algorithm to Predict Breast Cancer

Breast cancer becomes most important foundation of mortality among women. The convenience of medical related dataset and data investigation support to extracting unidentified pattern in medical related or health related dataset. The objective of this research work is is to develop a health care prediction tool predicts the occurrence of the disease at near the beginning level of the criteria by analyzing the collected data set attributes to extract the disease exact level from the medical related information. The projected multi-objective KNN machine learning algorithm (classification) confirms that the highest accuracy (97.16%) is achieved compared to existing decision tree and Random Forest Techniques.
Biometric authentication

Biometrics refers to &apos;automated recognition of individuals based on their behavioural and biological characteristics such as fingerprints, iris, face, hand, voice, and gait.&apos; Compared to traditional authentication methods, biometrics are easy to use, convenient, not possible to share, reliable, and cannot be forgotten or lost. Compensating for this need, this chapter will focus on the biometric authentication systems which help to prevent unauthorized access to the local server and cloud resources.
Improved Sine-Cosine Algorithm For Anti Forensics JPEG Compression

In the past few years, the extensive appropriate of the JPEG image in transfer, storage, etc are rising.In the image, to recognize the local tampering the lossy character of the JPEG compression leaves of traces that are done using forensic agents.Here, by the JPEG compression, a difficult anti-forensic approach is developed to get rid of the traces left in both the spatial domain and DCT.A new improved sine-cosine (ISC) technique is developed on presented compression of anti-forensic format to optimally evaluate the noise-like signal to be augmented in the de-calibration and de-blocking operation.Additionally, in the optimization algorithm, a novel fitness function named Histogram Deviation (HD) is devised to appropriately balance the quality of visual and the undetectability of forensic.The simulation of the proposed anti-forensic compression method is done from the UCID database with the uncompressed images.The evaluation of the proposed technique is analyzed with the conventional techniques exploiting MSE, PSNR, and accuracy of classification as metrics.The simulation results show potential consequences such as high accuracy and low MSE that demonstrate the effectiveness of the proposed technique is deceptive the forensic agents.
Digital Forensics of Cyber Physical Systems and the Internet of Things

Industrial Automation and Control Systems also known as Cyber Physical Systems (CPS) were isolated systems. With the advent of the Internet of Things (IoT), whereby devices or “Things” have the capability to connect to each other and the Internet for sharing of data, cyber physical systems have also embraced increasing connectivity and are converting into Industrial IoT (IIoT). Moreover, such networks are increasingly relying on cloud resources such as for storage of data, and big data processing. Both IoT and CPS use the same underlying technology; and their connectivity to external networks (Internet/Cloud) makes them more vulnerable to attacks. Several security incidents and cybercrime have been reported, and the need to extend digital forensic investigations to IoT and CPS systems is of increasing importance. However, the traditional forensics approach may not be suitable for the IoT environments. The challenges related to IoT and Cloud environment digital forensics are presented in this chapter as well as the techniques and frameworks proposed for embracing IoT and Cloud forensics. [167]
Low power DNA protein sequence alignment using FSM state transition controller

In this paper we proposed an efficient computation technique for DNA patterns on reconfigurable hardware (FPGAs) platform. The paper also presents the results of a comparative study between existing dynamic and heuristic programming methods of the widely-used Smith-Waterman pair-wise sequence alignment algorithm with FSM-based core implementation. Traditional software implication-based sequence alignment methods can not meet the actual data rate requirements. Hardware-based approach will give high scalability and one can process parallel tasks with a large number of new databases. This paper explains finite state machine (FSM)-based core processing element to classify the protein sequence. In addition, we analyse the performance of bit-based sequence alignment algorithms and present the inner stage pipelined field programmable gate array (FPGA) architecture for sequence alignment implementations. Here, synchronised controllers are used to carry out parallel sequence alignment. The complete architecture is designed to carry out parallel processing in hardware, with FSM-based bit wised pattern comparison with scalability as well as with a minimum number of computations. Finally, the proposed design proved to be high performance and its efficiency in terms of resource utilisation is proved on FPGA implementation.