Reviewerly/exHarmony huggingface dataset:
A Comparative Study of Analysis and Investigation using Digital Forensics

Data Analysis and Investigation using Digital forensics from Digital Storage Devices, is a defined way towards effective data backup strategies, as well as a key aspect in Data Privacy and Confidentiality. Digital storage Devices like Hard Drives (internal or external), USB Drives, floppy disks, etc. provide a good medium for better utilisation and storage of data and information. So, the main task is to retrieve the stolen or lost data from these devices. Digital forensics provides the exact concept for this data extraction, in a systematic and effective manner. Now, there can be various conditions of a damaged digital storage device like it may be burnt, wet or physically damaged parts, all these conditions play a significant role in Data Extraction. Since, Data is the most important asset for any organisation, so compromising with its Security and Confidentiality, may be wrong or devastating option, for future. Just spending thousands and millions of dollars in finding the vulnerability (large-scale or small-scale), is not a solution for being secure. There has to be proper and effective choice of ways and tools for it.
Natural Language Processing and Its Challenges on Omotic Language Group of Ethiopia

This article reviews Natural Language Processing (NLP) and its challenge on Omotic language groups. All technological achievements are partially fuelled by the recent developments in NLP. NPL is one of component of an artificial intelligence (AI) and offers the facility to the companies that need to analyze their reliable business data. However, there are many challenges that tackle the effectiveness of NLP applications on Omotic language groups (Ometo) of Ethiopia. These challenges are irregularity of the words, stop word identification problem, compounding and languages ‘digital data resource limitation. Thus, this study opens the room to the upcoming researchers to further investigate the NLP application on these language groups.
The Man of the Theater from the Environment of P.I. Tchaikovsky: K.N. De‐Lazari

This paper is dedicated to a creative personality from P.I. Tchaikovsky’s friendly circle, Konstantin Nikolaevich De-Lazari (stage name Konstantinov). Throughout the composer’s life, this artist of almost all theatrical genres (from drama and opera to vaudeville and operetta) maintained friendly relations with Pyotr Ilyich himself, then with his brothers and father. Serving alternately in the troupes of the opera (Bolshoi Theater, Moscow) and drama theaters (Alexandrinsky Theater, St. Petersburg), he did not lose touch with either the musical or dramatic environment and was considered “his own man” behind the scenes of the theaters of both capitals. He was a friend of Pyotr Ilyich’s friends: N.G. Rubinstein, G.A. Laroche; patronized talented actresses who played prominent roles in the destinies of M.I. Tchaikovsky (M.G. Savina) and A.I. Tchaikovsky (A.Ya. Glama-Meshcherskaya). K.N. De-Lazari left several memoir texts; their exact number and significance for the biography of P.I. Tchaikovsky has not yet received a scientific assessment. These texts and their interpretation will help to expand our understanding of the composer’s circle of friends and the synthetism of perception of musical and dramatic theater, characteristic of P.I. Tchaikovsky, his natural artistry, in a broad sense.
Performance Comparison of Clustering Kmeans and Fuzzy Logic Tsukamoto Method among Student Prospective Scholarship Receiversat Politeknik Pos Indonesia

Student, Alumni, and Cooperation Services are institutions under the Deputy Director III. This agency has a duty to provide academic services to students on the POS INDONESIA POLITEKNIK campus, and is responsible for providing information on campus activities and academic issues to students of POLITEKNIK POS INDONESIA. Currently, the field of Student Affairs, Alumni and Cooperation, POLITEKNIK POS INDONESIA does not yet have an application for a decision support system for scholarship selection using the Tsukamoto fuzzy logic method because it still uses manual methods to determine prospective scholarship recipients. A research and application development was carried out in order to improve the quality and support the activities of the Student Affairs, Alumni and POS INDONESIA POLITEKNIK Cooperation. The method currently used in this research is the Tsukamoto Fuzzy Logic method, which is a calculation method to determine the highest criterion value based on rules, the method before the development of this decision support system uses the K-Means Clustering method where this method determines cluster 1 and Cluster 2 and has tested the calculation results. The results of this study are that it can help the process of calculating student data for prospective scholarship recipients that can be used by Student Affairs staff through the system. With this application, it can help companies in lightening the work because they do not need to use the calculation process to determine prospective scholarship recipients manually. This research is expected to be useful for companies in order to assist companies in improving student academic services and in order to be more efficient.
E-learning and its Role in Enhancing the Proactive Direction of the Organization: An Exploratory Study For the Opinions of a Sample of Faculty Members at Al-Hadbaa University College

E-learning is one of the variables that affect the organizations' proactive trends and how to achieve a competitive advantage through e-learning.The proactive approach is also beneficial because it focuses first on the organization and continuously collects information on the needs of the target groups with the aim of making educational organizations useful in achieving goals And the delivery of the electronic educational process to the best quality, which prompted decision-makers and those concerned to pay attention to the side of electronic education, to participate in the search for modern trends in the field of education, and the concept of preemption is related to the organization that has the first movement in the market, which aims to preserve the market share due to the acceleration of activity change in the surrounding environment That pushed it towards creating a proactive strategic movement in order to become the owner of the first movement, and the research included focusing on the two main variables represented by elearning, the proactive approach), from which the main research problem was proven, which is whether e-learning applications contribute to enhancing the proactive orientation in the researched organization as for what is related The field, in which I tested the relationship between these two variables, was a share Al-Hadba University College and on a number of faculty professors, as the number of distributed questionnaire forms reached (40) forms, and these forms were analyzed with a number of statistical tools within the software package of (SPSS V24).The research reached some conclusions, the most important of which is that the proactive approach in e-learning has achieved benefits This field is large and positive, in addition to its alignment with the developments in the educational environment.The most important proposals are to work on developing e-learning and achieving competitive advantage through the proactive approach, and the search for reducing costs and time in line with the current situation..
THE USE OF ICT AS A MEDIA IN ENGLISH LANGUAGE TEACHING

ABSTRACT This study explores the effect of using Information and Communication Technology (ICT) in English Language Teaching. The problems of the study are: 1). How can ICT be used in english language teaching?, 2). Can the use of ICT improve the students’ achievement in English subject? The aims of the study are 1). to find out the way how to use ICT in English language teaching, and 2). to investigate whether the use of ICT can improve the students’ achievement in English subject. The data were collected by reading some references and former research finding, and by giving the students a writing test and video production. Using the data gathered from the subject of the study, that is class X-IPA 3 of SMA Laboratorium Unsyiah, the writer found that by using ICT in English language teaching, the students’ achievement in English can be improved. To do so, the teacher should make a well preparation, carry out the learning activities in accordance to the scenario and she has to manage the class well so that the teaching learning process run successfully. It can also be concluded that the uses of ICT can improve the students’ achievement in writing and video making. Keywords: ICT, Media, English Language Teaching
Uporedna analiza metoda za kategorizaciju teksta

Text categorization using machine learning methods has become one of the key techniques for extracting and summarization of valuable information from text documents. In this paper text pre-processing steps are described, and supervised and unsupervised machine learning approaches for text categorization are analyzed. Five algorithms are evaluated on five standard datasets for text categorization. For majority of applied algorithms, on all datasets, achieved precision and recall are in range 70-90%. In terms of predefined metrics, supervised algorithms perform better on four datasets, while unsupervised approach shows better results on one dataset. Also, main advantage of unsupervised approach comparing to those supervised is emphasized and some possible suggestions for further research in this area are given.
STUDI PERBANDINGAN APLIKASI ONLINE LEARNING DENGAN METODE ADAPTIF LEARNING

In a modern now learning as it is today, a lot of media to support learning to learn more efficient time and easy set up time in learning. So here the author does a comparison of learning media or aapikasi system with online or called with E-learning, at the time of learning media currently used, namely an application space master, the application class,application home learning. objective to simplify the users of an application or system is what is needed and the writer doing research in methods of Adaptive e-learning which is done through the Division of the kuisoner on the application user can produce applications which use adaptive learning methods then what method is right. Modelling and application of Adaptive learning Adaptive.
Comparative Study of Various Forgery Detection Approach for Image Processing

Considering the availability of powerful image analysis and editing tools, digital images are easy to change and transfer. This is necessary to link or erase any important elements from any image without escaping any valid visible signs of interfering. Including its real-life apps in different areas, the copy move forgery method is analyzed in depth. Implementation phases for the detection of image forgery are also clarified, accompanied by various approaches using copy move forgery approach.
ANIMASI 3D PEMBUATAN HIDROPONIK METODE DUTCH BUCKET SYSTEM (DBS) SEBAGAI EDUKASI BERTANI

Along with the increasing population, more and more agricultural land has been converted into residential land. A way to overcome the limitations of agricultural land is to apply the Hydroponics Dutch Bucket System (DBS) technique. Animation-based multimedia can be used as a medium for delivering information. This research utilizes 3D animation as an innovation in teaching how to make Hydroponics DBS. This 3D animation was designed using blender software. The design process starts from determining the story idea, storyboarding, object modeling, giving texture, moving the animation, rendering, until the editing process. The final result of this animation was a video that is equipped with background music, audio, and explanatory text. 3D animation of making Hydroponics DBS as farming education is expected to be a solution in overcoming the limitations of agricultural land and less productive land in urban areas.
Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.
Engagement and Challenges in Digital Learning among SMK Tiram Jaya Students

Digital learning provides opportunities that make the teaching and learning process become more effective and meaningful in a classroom. This study examines the “Engagement and Challenges in Digital Learning among SMK Tiram Jaya Students.” In this study, 30 students were surveyed in order to assess their engagement and challenges in digital learning. In other words, this study aimed to investigate the usage frequency of digital media, benefits, and challenges faced by the school to engage with digital learning. Research design is a quantitative method and questionnaire is the instrument that has been used to collect data of 30 students in SMK Tiram Jaya, Tanjong Karang. Data collected were analyzed using percentages. Findings revealed that desktop computers, internet-enabled and multimedia projector are the most frequently used devices in school. Meanwhile, the most significant challenges faced by the students in digital learning are limited access to digital media and inadequate digital media tools. Suggested solutions were proposed in this study and most of the respondents strongly agree that the school needs to improve access to digital media and provide development activities to upgrade students’ ICT skills. After this very specific student engagement and challenges in digital learning, the implications were structured that special emphasis should be taken into account that the school has limited access towards digital learning and teachers need to be trained with ICT skills as well. Hence students will engage in learning actively.
Passive contrast enhancement detection using NSCT based statistical features and ensemble classifier

Due to widespread use of digital images and sophisticated image editing software, it is quite easy to create digital image forgeries without leaving any visual traces of doctoring. Contrast enhancement (CE) processing is popularly used to hide the traces of doctoring in copy-and-move image forgery operation by malicious users. In this paper, global blind contrast enhancement detection algorithm is proposed using various statistical parameters based on Gaussian distribution and generalised Gaussian distribution features, energy and grey level run length matrix (GLRLM) descriptors after NSCT decomposition. Fisher feature selection criterion is utilised to choose the most relevant features and to remove the less important features. Detection accuracy of the algorithm is investigated using various ensemble classifiers architectures. Experimental results are presented using four different ensemble classifier architectures class-I to class-IV for Cb and grey image database. The proposed algorithm outperforms all the existing feature-based approaches compared using the detection accuracy.
Implementation and Impact of Virtual Reality on Survival Horror Games

Currently, games are an important part of human life. Not only serves as entertainment, games nowadays also serve as education, communication, socialization, and even a job for some people. This makes technology in the game world more developed and closer to reality. One of the popular and interesting technologies is virtual reality. This technology has various elements, but the most important element is the immersion element, which can give users the sensation to feel as if they are in a real environment. In this research, the authors examine the effects of virtual reality when combined with horror games. The selection of horror games was made because this genre is one of the genres with the fastest immersion element compared to other game genres. In addition to the use of virtual reality technology, considering that horror games require complex particle simulations and good lighting, the authors use the Unreal Engine as the main engine in this game. The test method used in this study is the beta testing method with the assessment using the user acceptance method. The conclusion was that virtual reality technology combined with the advantages of the unreal engine caused game players to get a tenser atmosphere.
REKOGNISI VIDEO CONFERENCE : INTERES DAN EKSPEKTASI PELAJAR SAAT PANDEMI COVID-19

Learning through video conference is one of the effective real-time communication methods in the teaching and learning process during the Covid-19 pandemic. This study aims to represent the interests and expectations of students in the era of the covid-19 pandemic related to video conference recognition. This research is categorized as quasi-quantitative with Questioner and open question as an instrument. Participants are students of Surabaya City Junior High School using purposive sampling. Quasi-quantitative data analysis uses Microsoft Excel for quantitative data and NVivo software for qualitative data. The study results showed that positive response preferences to video conferences were very helpful to them in online learning and developing student intercession. In the aspect of learning expectations related to the dominant student video conference is the ability to explain; opportunity to discuss; sound quality; signal quality; and practice activities. This study concludes that video conference is beneficial for them in online learning and develops student interest with. The dominant aspect in a row is explaining, an opportunity for discussion, sound quality, signal quality, and practice activities.
A researcher’s lived experience : A case study of dark sites in USA

See also works by Effie Lagos. Full text not available online. Abstract available from Informit. Item availability may be restricted. Log in required for WAI staff and students.
The Relationship between Cultural Capital and Leisure Style for the Visually Impaired and Retired Persons in Tehran

More than half a billion people worldwide are suffering from physical, mental or sensory illnesses. One useful way to help people with disabilities is to turn to physical activity and exercise. to the extent that it goes beyond entertainment, plays a therapeutic and preventive role in the effects of disability. So the results of this study can be used in future planning so that the satisfaction of the blind can be assessed by identifying the needs of the blind as well as prioritizing all kinds of leisure activities. In the present study, since the most representative of the constructs were 5, the sample was 50 blind and visually impaired individuals who are currently employed or retired who were selected through random cluster sampling. The Bourdieu Cultural Capital Standard Questionnaire and the Leisure Styles Questionnaire are two foreign (Dumazedier) and Iranian (Rajabzadeh) questionnaires. In examining the results of the model of the relationship between cultural capital and leisure styles of the blind and visually impaired, it was found that cultural capital is able to account for more than 65% of the variations in the leisure time of the blind and this is a significant amount and confirms the obvious relationship and impact of capital. Culture has an impact on leisure time for the blind and visually impaired. The highest direct impact factor on leisure time is 0.384 in the cultural-artistic leisure dimension.
An Intelligent Human-Computer Agent

A Chatbot is a software application.  It is the real time chat between a computer and a human.  It requires continuous testing.  Smart bot interacts with users in their Natural language. The bot can be able to detect emotions on the basis of words used. Chatbot are currently gaining a lot of popularity. As they have automate customer service and reduce human efforts. Its aim is the communication with the user with the help of AIML files and Natural Language Processing (NLP). All Chatbot have two functions, namely understanding and answering.  Chatbot’s are of high significance as they are high automated programs that interact with humans just like a human would do.  They are cost effective.  They interact with human without any time bound and location bound.  In this Chatbot we will be making a Chatbot which can express emotions just like humans.  It would be human machine conversation and interactions.  In order to remove the complexity Frequently Asked Questions (FAQ) bots will be made. They provide a user interface which allows users to type commands and receive instant replays.
Stego-eHealth: An eHealth System for Secured Transfer of Medical Images using Image Steganography

COVID pandemic has necessitated the need for virtual and online health care systems to avoid contacts. The transfer of sensitive medical information including the chest and lung X-ray happens through untrusted channels making it prone to many possible attacks. This paper aims to secure the medical data of the patients using image steganography when transferring through untrusted channels. A deep learning method with three parts is proposed – preprocessing module, embedding network and the extraction network. Features from the cover image and the secret image are extracted by the preprocessing module. The merged features from the preprocessing module are used to output the stego image by the embedding network. The stego image is given as the input to the extraction network to extract the ingrained secret image. Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) are the evaluation metrics used. Higher PSNR value proves the higher security; robustness of the method and the image results show the higher imperceptibility. The hiding capacity of the proposed method is 100% since the cover image and the secret image are of the same size.