Reviewerly/exHarmony huggingface dataset:
An advanced image compression technique by using a coupled compression algorithms depend on different wavelet methods

Digital images need a large storage capacity, and as a result they need a large bandwidth for data transmission to deliver to the desired destination over the network.Image compression technologies not only reduce the size of stored data, but also maintain as much as possible the output image quality.In the proposed research we review a technique for image compression that uses a distinct two-stage image encoding method using different compression algorithms and wavelet transform methods, which combines two types of effective compression algorithms that give more ability to compress image data.The proposed compression technique which coupled two image compression algorithms that put to use premium characteristics from each algorithm.The wavelet transform methods contribute effectively to finding suitable solutions to supply better compression ratios for images with high resolution.The complete series of compression includes repeated stages of encoding and decoding, in addition to the wavelet processing itself.This study will have carried out an advanced compression technique that contain a coupled compression algorithm relying on the preferred wavelets to this work from practical experiments they are, biorthogonal and Haar wavelet transform, the performance metrics for tested true HD color image will be studied.The challenge for image compression algorithms is to detect a best solution between a low compression ratio and good visual perception results.An essential measure of achieved image compression process is taken by compression ratio CR and the ratio of bit-per-pixel BPP.The CR and BPP metrics are important components in image compression techniques.Through the results of the image compression metrics in two stages, the best practical results were obtained when the compression ratio metric CR was equal to 2.3%, and this metric indicates that the compressed image can be stored using 2.3% of the original image data size.While the BPP which represent the bit number that used to store one pixel of true color image is equal to 0.575.
Preface

The 2021 IEEE International Conference on Educational Technology (IEEE ICET) has been scheduled to be held in Beijing, China on June 18-20, 2021. Due to the Covid-19 pandemic and the imposed restrictions on travel, the organizing committee had to make a tough decision and convert IEEE ICET to a fully virtual mode for the safety and well-being of all participants. Thanks to today's remarkable ICT, this new approach provided an alternative and yet effective way for all participants to come together in an environment to share their research findings, exchange ideas, and connect with one another.
Does Job Satisfaction and Employee Commitment pave way for Employee Engagement in IT Sector

Present study is a descriptive and analytical in nature aiming to bring out the relationship of job satisfaction and employee commitment on employee engagement of the employees working in IT companies of South India. Design/Methodology/Approach: This study adopts descriptive and analytical approach it, starts with clear variables which are derived from theory and based on these variables. The data for the study was collected through the structured questionnaire. The sample for the present study was collected from the IT companies working in South India. A total 785 questionnaires were returned by the respondents, this indicating a response rate of 59 %. The questionnaire uses five point Likert type response format is used for all the measures ranging from strongly agree to strongly disagree. SPSS 21 and Microsoft excel are the statistical packages and correlation and regression are the tools used in the present study Findings: A significant relationship was found between job satisfaction and commitment with employee engagement of the employees working in IT companies of South India. If Job Satisfaction does not exist in an employee, his level of engagement would be minimal. Employee may be working to maintain hygiene factors according to Herzberg but the management won’t be able to motivate him to either enhance productivity or engage him with the organization. Commitment comes when the hygiene factors are maintained. Every employees looks forward to ensure that the employee is committed. Only then they can motivate them to be engaged. Hence, it observed that all the commitment of employees are mandatory for employee engagement Originality/value: This study provides insightful findings in understanding the role organizational competencies like job satisfaction and employee commitment play in facilitating employee engagement. This study also shows the importance of the demographic variables with employee’s engagement. In spite of the limitations of the research, the study contributed to the international human resources management by exploring the South Indian IT company’s context. The theoretical framework proposes the relationship between employee engagement, job satisfaction and employee commitment. The study has found that job satisfaction and employee commitment is correlated with employee engagement and serves as the important indicator for engaging employees.
Low-dose computed tomography image denoising based on joint wavelet and sparse representation

One of the most challenging issues in low dose computed tomography (CT) imaging is image denoising and signal enhancement. Sparse representational methods have shown initial promise for these applications. In this thesis we present a wavelet based sparse representation denoising technique utilizing dictionary learning and clustering. By using wavelets we extract the most suitable features in the images to obtain accurate dictionary atoms for the denoising algorithm. To achieve improved results we also lower the number of clusters which reduces computational complexity. In addition, a single image noise level estimation is developed to update the cluster centers in higher PSNRs. A new image enhancement technique is developed for low-dose CT images to improve the quality of image for diagnostic purpose and reduce the blurring artifacts. The accuracy along with the computational efficiency of the proposed algorithm are then compared with recent approaches and clearly demonstrate the improvement of the proposed algorithm proposed in this thesis.
Image Description using Attention Mechanism

Image Description involves generating a textual description of images which is essential for the problem of image understanding. The variable and ambiguous nature of possible image descriptions make this task challenging. There are different approaches for automated image captioning which explain the image contents along with a complete understanding of the image, rather than just simply classifying it into a particular object type. However, learning image contexts from the text and generating image descriptions similar to human's description requires to focus on important features of the image using attention mechanism. We provide an outline of the various recent works in image description models employing various attention mechanism. We present an analysis of the various approaches, datasets and evaluation metrics that are utilized for image description. We showcase a model using the encoder-decoder attention mechanism based on Flickr dataset and evaluate the performance using BLEU metrics.
Reinforcement Learning Based APO-PTIRIAL for Load Balancing in Cloud Computing Environment

Power consumption-Traffic aware-Improved Resource Intensity Aware Load balancing (PT-IRIAL) method was proposed to balance load in cloud computing by choosing the migration Virtual Machines (VMs) and the destination Physical Machines (PMs). In this paper, an Artificial Intelligence (AI) technique called Reinforcement Learning (RL) is introduced to find out an optimal time to migrate the selected VM to the selected destination PM. RL enables an agent to find out the most appropriate time for VM migration based on the resource utilization, power consumption, temperature and traffic demand. RL is incorporated into the cloud environment by creating multiple state and action space. The state space is obtained through the computation of resource utilization, power consumption, temperature and traffic of selected VMs. The action space is represented as wait or migrate which is learned through a reward function. Based on the action space, the selected VMs are waiting or migrating to the selected destination PMs.
Evaluating the English Textbook for Young Learners

Evaluating the English textbook used at one of the National Plus Schools in Surabaya (SNA), this study aims at finding out whether â€œMy Pals are Here!â€ fulfill the objectives of teaching English and whether it is designed according to the principles of Teaching English to Young Learners (TEYL). Further, the instrument of this study was the researcher herself and equipped with an Evaluation Checklist by Bilash (2009). Also, an interview with a teacher who has used that book in class provided for this research. Using the checklist, it was found out that â€œMy Pals are Here!â€ is in accordance with the objective of teaching English at SNA, which is to help learners to be able to use English for communication especially orally. â€œMy Pals are Here!â€ is also fulfill the principles of TEYL
Correction to: Acoustic Contrast Between Neutral and Angry Speech: Variation of Prosodic Features in Algerian Dialect Speech and German Speech

Reference [18] is now corrected as follows:
Coherent Light Weight Planning for Secure Cloud Computing

A significant test in cloud and versatile distributed computing is to guarantee security and protection of client's data (e.g., money related information, wellbeing record, area data) from attacks. It is significant for a cloud service provider (CSP)) to build up trust and addition certainty by providing proper security and privacy to the clients.. Validation is significant for setting up responsibility and approval of the clients while distributing cloud resources. Researchers have proposed a few procedures, for example, token-based, picture and biometric based, to make the verification procedure progressively productive, secure and easy to understand. In this paper, talk about various confirmation methods proposed for both cloud and versatile distributed computing situations. This paper arranges the calculations dependent on its information, for example the credentials required for approving clients. Notwithstanding, this work emphasize that the arrangement isn't exact, as it is hard to group the validation calculations depending on more than one client credentials. To comprehend the intricacy and postponement of a validation procedure, the proposed work center around the quantity of elements associated with a confirmation procedure and the quantity of handshakes occurring between them. This paper additionally analyze the confirmation calculations based on plan standards and security faults.
Cryptography &amp; Agriculture

Cryptography technology provides all users with efficient data protection, transparent and secure data exchange. All information written in blockchain cannot be changed, and it's storage is decentralized. All these properties make crypto technology the best tool for encrypted information transfer.
Ripples: An Auditory Augmented Reality iOS Application for the Atlanta Botanical Garden

This paper introduces "Ripples", an iOS application for the Atlanta Botanical Garden that uses auditory augmented reality to provide an intuitive music guide by seamlessly integrating information about the garden into the visiting experience.For each point of interest nearby, "Ripples" generates music in real time, representing a location through data collected from users' smartphones.The music is then overlaid onto the physical environment and binaural spatialization indicates real-world coordinates of their represented places.By taking advantage of the human auditory sense's innate spatial sound source localization and source separation capabilities, "Ripples" makes navigation intuitive and information easy to understand.
The Role of Training in Effectiveness Crisis Management

This study examines the role of training in effectiveness crisis management of telecommunication companies in Jordan. Specifically, this study examines the training factors namely, knowledge, skills and abilities on crisis management practices namely, readiness, controlling and decrease of risks. This study utilizes a quantitative research approach on randomly selected 245 employees working in telecommunication companies in Jordan. Basing on 200 completed questionnaires this study shows that training has a significant and positive impact on effectiveness crisis management. This study also shows the importance of knowledge, skills and abilities as part of training in improving organizational performance to deal with crisis through readiness and controlling of crises. In addition, this study shows that training is important in reducing crisis risks. The findings of this study can assist the top and middle management in Jordanian Telecommunication companies on ways to deal with crisis management and explain the role of using training in effectiveness crisis management for organizational performance effectiveness.
Classification System of Indonesian Language Thesis Documents in Computer Science Department using K-Means Algorithm

Thesis is a scientific paper created by the student as a final requirement on his final academic education to earn a bachelor's degree. Students of the Computer Science Department at Pakuan University are faced with the difficulty of finding the previous thesis references to determine the desired thesis theme because the clustering of the thesis documents is set based on the writing year only and not based on the theme classifications which includes Software Engineering, Hardware Programming, Artificial Intelligence, and Network Computer. A computer based system will be developed where the data in the Thesis document will be processed through text pre-processing which aims to convert unstructured document data into structured so that it can be read by the system, then grouped using K-Means Algorithm.
Developing the common law crime murder in relation to physician-assisted suicide and physician-assisted euthanasia: Revisiting the missteps of Stransham-Ford v Minister of Justice and Correctional Development 2015 (4) SA 50 (G)

SUMMARY Digitisation of information compels a revision of the Fourth Industrial Revolution (4IR) and its associated technologies. This arises because 4IR technologies, for example, the Internet of Things (IoT), Big or Massive Data, Artificial intelligence (AI), augmented or virtual reality and machine learning, drastically adjust the manner in which an information society operates. Specifically, they present unprecedented opportunities for business, economy and online user or consumers. Furthermore, they profoundly model and re-model productions. As a result, the conventional lines between the physical, digital and biological spheres become imprecise. Given the extent of the transformation that 4IR technologies bring to society, it has become necessary to refer to them as the disruptive technologies. However, the inquiry is to what extent is the information society ready to take advantage of disruptive technologies and control some of the setbacks that emanate from therefrom? For regulatory purposes, how electronic or e-ready regulators are to control the adverse consequences that are associated with disruptive technologies? To address these questions, this paper discusses some of the selected theories for technology regulations (artificial immune system (AIS) theory and theory for Lex Informatica). The theories are not technology regulations, as such. Simply, they concede that technology regulations should encourage a proper scrutiny of the position of the technologies in the information society.
Network Steganography System Using Covert Channel For LSBS Stego Data On VOIP Communication

Voice over Internet Protocol (VoIP) is a real-time service that enables voice conversations using IP networks, Steganography is the art and science of hiding secret messages in other messages that makes the secret messages are unknowable. VoIP allows as a medium cover carrier on steganography to provide the security of confidential messages. This study built by two-stage of steganography system using Least Significant Bits and Covert Channel that use image and VoIP communication as a medium in the hiding of messages. End of this study, the system will go through the process of performance and functionality testing. The results showed that the method of Covert Channel to the Payload field has the hiding of large capacity that are 56bit per packet, and by using two stages method of steganography can make a Steganogram extraction or analysis more difficult to do
IMPLEMENTASI ALGORITMA BREADTH FIRST SEARCH DAN METODE CERTAITY FACTOR PADA SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN CABAI

Abstract&#x0D; &#x0D; The Department of Agriculture, Food Crops and Horticulture, Regency of Lima Puluh Kota recorded a decrease in chili production every year which can cause direct losses to farmers. This is due to the presence of diseases that can reduce the quantity and quality of yields, increase production costs, and reduce the ability of farming businesses. To overcome this problem, the Department of Agriculture, Food Crops and Horticulture has deployed agricultural extension workers (PPL) as communicators for development who are expected to play multiple roles, as teachers, mentors, advisors, information providers and farmer partners. In Fifty Cities District, the number of existing agricultural extension workers is 104 people. They foster 166,157 farmers with an area of 22,282 ha and plantation area of 28,150 ha who are members of more than 1,400 farmer groups spread over 410 jorong, 79 nagari, and 13 sub-districts in Lima Puluh Kota Regency. Because the extension workers are not comparable with the number of regions, the extension process, the performance of the extension workers, and the knowledge that will be conveyed to farmers are not optimal. Therefore, a system was designed, namely an expert system for diagnosing chili plant diseases using the CF (Certainty Factor) method and the BFS (Breadth First Search) algorithm. Which serves to assist the community in conducting consultations without having to meet a disease expert or wait for counseling.&#x0D; &#x0D; Keywords : Expert system, Certainty factor, Breadth fisrt search, Chili plants
Human Activity Recognition using Active Learning Methodology

In current technology, presenting detailed and exact information about one’s daily activities is the major task in artificial intelligence. This paper represents the multiple classification techniques used to monitor the behaviours of aging people. It can also play an important role in health care monitoring system and surveillance systems. Human Activity Recognition (HAR) dataset is used for evaluating and comparing the prediction accuracy of the dictionary learning algorithm, Naive Bayes and J48 algorithms. Based on the classification, J48 algorithm is superior compared to other classifier algorithms. J48 and Naïve Bayes machine learning algorithms are evaluated on WEKA tool and their efficiency is compared with Dictionary learning algorithm for achieving better results on the given dataset.
Feature Fusion Based on Neural Image Captioning with Spatial Attention

Generating a natural language description of an image is a challenging but meaningful task.The task combines two significant artificial intelligent fields: computer vision and natural language processing.This task is valuable for many applications, such as searching images and assisting the people who have visually impaired to view the world, etc.Most approaches adopt an encoder-decoder framework, and some of the future methods are improved on the basis of this framework.In these methods, image features are extracted by VGG net or other networks, but the feature map will lose important information during the processing.In this paper, we fusing different kinds of image features extracted by the two networks: VGG19 and Resnet50, and put it into the neural network to train.We also add an attention into the a basic neural encoder-decoder model for generating natural sentence descriptions, at each time step, our model will attend to the image feature and pick up the most meaningful parts to generate captions.We test our model on the benchmark dataset called IAPR TC-12, comparing with other methods, we validate our model have state-of-the-art performance.
Signal processing for ubiquitous biometric systems

This work presents two hardware independent and ubiquitous biometric solutions that can significantly improve security for computer and telephone related applications. Firstly, for computer security, a GMM based keystroke verification method is proposed along with the up-up keystroke latency (UUKL) feature which is being used for the first time. This method can verify the identity of users based on their typing pattern and achieved a FAR of 5.1%, a FRR of 6.5%, and a EER of 5.8% for a database of 41 users. Due to many inconsistencies in previous works, a new keystroke protocol has also been proposed. This protocol makes a number of recommendations concerning how to improve performance, reliability, and accuracy of any keystroke recognition system. Secondly, a GMM based text-independent speaker identification scheme is also proposed that utilizes novel spectral features for better speaker discrimination. Based on 100 users from the TIMIT database, these features achieved an identification error of 1.22% by incorporating information about the source of the speech signal. This represents a 6% improvement over the MFCC based features.
Modified Encryption Standard with High Performance through Secure Protocol

The Advanced Encryption Standard (AES) has been accepted worldwide as a desirable algorithm to encryption and decryption sensitive information. In cryptography the unencrypted information referrers to as plaintext it is encrypted into cipher-text, which will in turn be decrypted back into the usable plaintext. The encryption and decryption are based on the type of cryptography system and secret keys. The secret key is responsible for preparing the input key to be used by the cipher in each round. AES with one-stage pipeline producing minor reduction of delay but does not show any improvement in area and power consumption. To overcome the above drawbacks, the basic architecture of AES, which includes encryption and decryption can be modified with one stage pipeline architecture by using one- dimensional Substitute Box (SBOX). Advanced Microcontroller Bus Architecture (AMBA) describes level of an on-chip communication standards for elevated performance embedded microcontrollers. AMBA AHB (Advanced High Performance Bus) is intended for elevated performance and high-frequency clocks. AHB has unique characteristics such as burst transfer, split transaction and single-cycle master bus transfer. 128 bit plain text is guided by AMBA-AHB requirements and can be used to send a plain text block to the cypher per clock cycle.. Plain text of 128 bit is driven by AMBA-Advanced High-performance Bus. AMBA-AHB specifications and supports the transmission to the cipher of a plain text block per clock cycle i.e., Modified Encryption Standard will be implemented with AMBA –AHB driven by input, which provides on-chip communication, increasing security of encryption standard. Propositioning methodology, Modified Encryption Standard will be simulated and synthesized by using Xilinx ISim 14.7 FPGA.