Reviewerly/exHarmony huggingface dataset:
Child Trafficking Mitigating System using Transfer Learning and Modified Deep Learning

In India, the National Human Rights Commission said that 11,000 of the 40,000 kidnapped children go unrecoverable each year. This project suggests a method for creating a useful app to locate a missing person by correlating the database and the identification feed. To check if the suspected child is a victim of child trafficking and is listed as a missing child, the person can scan their image. A facial recognition system has been employed which uses CNN (Convolution Neural Network ) a deep learning technology for digital image processing and to identify or confirm a person. Current world scenarios and technology make substantial use of facial feature detection and recognition but here we have also introduced alert system The problems of the modern world, on the other hand, have remedies thanks to artificial intelligence. To improve communication between humans and machines, artificial intelligence (AI) has been developed. Convolution neural networks and deep learning will be heavily utilised to analyse images and make appropriate inferences as part of the implementation of the aforementioned solution. By sending the victim's position information and photo to the closest police station, the user initiates the rescue effort and minimises the area that needs to be searched for the youngster.
A multi-level approach with visual information for encrypted H.265/HEVC videos

High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our knowledge, almost all of the existing HEVC encryption algorithms mainly encrypt the whole video, such that the user without permissions cannot obtain any viewable information. However, these encryption algorithms cannot meet the needs of customers who need part of the information but not the full information in the video. In many cases, such as professional paid videos or video meetings, users would like to observe some visible information in the encrypted video of the original video to satisfy their requirements in daily life. Aiming at this demand, this paper proposes a multi-level encryption scheme that is composed of lightweight encryption, medium encryption and heavyweight encryption, where each encryption level can obtain a different amount of visual information. It is found that both encrypting the luma intraprediction model (IPM) and scrambling the syntax element of the DCT coefficient sign can achieve the performance of a distorted video in which there is still residual visual information, while encrypting both of them can implement the intensity of encryption and one cannot gain any visual information. The experimental results meet our expectations appropriately, indicating that there is a different amount of visual information in each encryption level. Meanwhile, users can flexibly choose the encryption level according to their various requirements.
The Principles and Practices of College Writing Education Using the Metaverse

This study aimed to explore the principles and practices of college writing education using the metaverse. To this end, the background theory of the educational use of the metaverse was first explored, the basic principles of metaverse map implementation were derived, and the direction of map design and implementation specialized for writing education was presented. So far, university education using the metaverse has been conducted at its introductory stage, in the form of a one-off event or ‘classroom’ that is not very different from the existing teaching method. However, considering the effectiveness of metaverse education, the important thing for educators to focus on is the actual design of the metaverse space, which must allow for greater interaction among the students if they are ever going to reach their full potential.These design principles should be embodied through close connection between teaching objectives and subject characteristics. This study exemplifies space design for university writing education and describes cases of introducing it to actual classes. It also empirically reports on the class experience of activating potential through the introduction of virtual education, which is different from the normal face-to-face classes as commonly seen in classrooms or video conferences.
Information and Communication Technology for Education in Rural Sector - A Review

Abstract: ICT stands for Information and Communication Technology. Now a days we see use of ICT in almost every field for various development activities. The overall concept involved in the process of ICT are constantly evolving in our daily lives. As Development in Rural Area is the key factor for the growth of the Indian Economy it become necessary for the government to develop and improve the Rural Sector. ICT plays a major role in developing and improving a Rural Sector and has helped to develop the rural sector in tremendous way. It is used in rural area for the growth of various field like education, agriculture, medical treatment and many other. As now a day’s education has played a major role in an individual growth it become necessary for every individual to get educated. As the overall development depend upon the skilled workforce which is possible only through quality education. ICT can provide information to people in a better way. Using ICT in Education will make the teaching learning process easy and interesting. This paper is an overall explanation of ICT in Rural Education. The Need of ICT in Rural Education for the Development of Rural People which will affect the world economic conditions, the various role of ICT in Rural Education, Positive and Negative Impact and the Challenges Faced by ICT in Rural Sector.
An Analysis of Secondary School Students' Difficulties in Mathematics at Tehsil Timergara

This study aimed to investigate the mathematical challenges experienced by secondary school pupils. The primary inquiry for this study was "how do secondary school pupils in Tehsil Timergara feel about mathematics?" Students in 9th and 10th grades from six different high schools in tehsil Timergara, district Dir lower, made up the study's populations. One hundred and thirty students were chosen using a multistage cluster sampling approach. A questionnaire was used for data collection, prepared on a five-point Likert scale. After establishing the validity and reliability of the research instrument, the data was collected from the sample population. The data were analyzed using percentage, mean score, and chi-square tests. Findings indicated that most students are unable to understand the concepts taught during math Class and show no interest in math Class. Students have weaknesses in math basics as a reason for not understanding math. And they have no access to/knowledge about the latest trends and learning tools for solving math problems, they are not regularly practicing math problems. Based on these findings it was recommended teacher should understand the concept and important of mathematics and focus on the primary classes in mathematics to strong their basic, and access to/knowledge about latest trends and learning tools of solving math problems. Students are trying regularly practicing math problems, while answer questions considering it logic, schools provide sufficient facilities and math Laboratories. Students do not show negative attitude towards mathematics. Schools have culture of asking questions and of asking questions and group discussion.
expert system on diagnosis of mental diseases

Mental disorder is one of the most serious problems in today's time. Mental disorders can be classified into different sub-disorders according to changes in human behavior and mental condition. According to reports one out of seven people suffered from mental disorders. In this research paper, our main emphasis is to build an expert system that diagnoses people based on their symptoms, so people can diagnose themselves early before going to the doctor. Expert Systems are one of the most important applications in artificial intelligence that solves complex problems without human help. We provide different rules, facts, and relationships among different symptoms in our knowledge base, from which users can query their problems and get their results. We used SWI-prolog to build an expert system. There are a few types of disorders, such as mental disorders, neurodevelopmental disorders, eating disorders, etc.
Developed an expert system for analysis of Covid-19 affected

The expert system solves problems within a specific area of the knowledge base. Prolog is a logical programming language which works on its knowledge base and effectively can be used to develop an expert system. Covid 19 is a pandemic deices and an expert system can be developed to diagnose this disease with the help of its symptoms that can be used as a knowledge base in Prolog. This expert system can make a fast diagnosis process for the covid 19 which is important to prevent the spread of the virus. Here we developed an expert system using prolog for diagnosis purposes. Like humans, these systems can get better with time as they gain more experience. Expert systems combine their experiences and expertise into a knowledge base that is then used by an inference or rules engine, a set of rules that the software employs, to apply to certain scenarios. Prolog is ideal for use with intelligent systems for a few reasons. Prolog can be viewed as a straightforward theorem prover or inference engine that derives from predefined rules. With the help of Prolog's built-in search and backtracking techniques, simple expert systems can be created.
Tiny encryption algorithm (TEA) for analysis and implementation of cryptool2-based text message encryption and decryption processes

Data security is one of the main factors in the world of information technology. The human need for information is increasing along with the changing times today. To maintain the authenticity of the information presented, it is necessary to have a high level of security. In this study, a data security simulation will be designed using the TEA (Tiny Encryption Algorithm) algorithm which includes a block cipher encryption algorithm and includes a symmetric key cryptography algorithm with the advantage of being on the Feistel network. The practicum was analyzed based on the process of encrypting and decrypting messages in text format. The software used to simulate the TEA (Tiny Encryption Algorithm) algorithm using Cryptool2 software which is open source software is used to explain the concept of cryptography. This research is used to decipher, schema, and implement the TEA (Tiny Encryption Algorithm) algorithm in the form of simulating encryption and decryption of text messages (both text and text files) so that text messages are sent in the safest way from the sender to the recipient.
Comprehending Non-Standard Grammatical Comments on Facebook through Pragmatics: A Pragma-syntactic Analysis of Users in Nigeria

Abstract This paper investigates how pragmatics can be deployed to interpret non-standard usages in the context of the English language users. There are two important linguistics keys to interpreting meanings in English: pragmatics and grammatical competence. For effective communication, a decoder must be competent at the two levels. Many researchers in Nigeria have agreed that, Nigerian English has come to stay, therefore, we need to look beyond the grammatical rules and deploy a method of interpreting non-standard usages in the messages of these people. Decoding a message does not rely only on the linguistics or signs, there are extra linguistic properties that help the addressee to infer meanings from the message of the speakers which can be drawn from pragmatics. Pragmatics and grammar work hand in hand to provide meanings during an interaction.
Harnessing Cloud Computing in Nigerian Educational Sector

Due to the rapid development of technology today, lots of technological advancements are on the high increase. Information storage for individual and organizations including educational sector is taking another dimension. Harnessing cloud computing in educational sector will definitely lead to the adoption of Cloud Computing in the sector. Cloud Computing is everything that could answer the challenges of ICT in educational sector and the ability to make ICT resources cheaper and it gives great flexibility for expansion, but suffered a lot of setbacks when it comes to security and privacy concerns. Since, it is where software applications, data storage and processing capacity are accessed over the internet. This paper will study the benefit of harnessing cloud computing in Educational Sector and give recommendations for adopting the new technology which can be accessed through public, private, community and hybrid cloud based technologies.
Automated Medical Visualization Application of Supervised Learning to Clinical Diagnosis, Disease and Therapy Management.docx

The rapid advancement and development in high performance computing, ultrafast computing, autonomous technologies and complexity of biomedical data for visualization and image guidance play a significant role in modern surgery to help surgeons perform their surgical procedures. Brain tumour diagnosis requires an enhanced, effective as well as accurate 3-D visualization system for navigation, reference, diagnosis as well as documentation. The automatic and effective 3-D high performance artificial intelligence-enabled medical visualization framework was designed and implemented using automated machine learning (AutoML) to take the advantage of complexity in the underlying datasets to help specialists in identifying the most appropriate regions of interest and their associated hyper parameters for optimizing performance, whilst simultaneously attempting to maximize the reliability of resulting predictions. C# and Compute Unified Device Architecture (CUDA) in Microsoft.NET environment in comparison side by side with visual basic studio was used for the implementation. The framework was evaluated for rendering processing speed with brain datasets obtained from the department of surgery, University of North Carolina, United States. Interestingly, our framework achieves 3-D visualization of the human brain, reliable enough to detect and locate possible brain tumor with high interactive speed and accuracy.
Artificial intelligence (AI) imaging for enhancement of parking security

Parking is a public facility found in an agency or office that is used to store vehicles. There are lots of vehicles that can enter the parking area. Therefore, we need an area management and parking system. Artificial Intelligence (AI) is the knowledge that makes computers able to imitate human intelligence so that computers can do things that humans do. This research is motivated by crime cases that often occur in parking lots. This is because there is still a lack of security in the place. The purpose of this study is to increase security and ease of scanning on motorcycle license plates to get parking tickets automatically and face scans. That way, if a crime occurs in the monitoring area, the camera can easily recognize the face of the perpetrator, which makes the incident process easy.
A Thematic-Role-Based Approach for Word Sense Disambiguation

The present paper investigates the thematic roles that can be developed for the purpose of Word Sense Disambiguation. In MT systems and electronic word databases, thematic role relations are not clearly included among other semantic relations. Identifying thematic roles of predicates helps in disambiguating word senses and hence producing more accurate translation. For instance, the meaning of the verb ‘eat’ differs depending on the thematic roles it assigns for its Subject and Object. When it assigns an animate Agent for its Subject and food Patient for its Object, it means ‘take in solid food’. However, when it assigns Force for its Subject and metal Theme for its Object, it means ‘cause to deteriorate due to the action of water, air or an acid’. Accordingly, different translations are produced in each context. Selectional restrictions are also tackled in the analysis of the sample verbs. The implementation is made on three MT systems: Al Wafi, Sakhr and Google. They all produce incorrect translations of the sample verbs. A suggested translation is proposed for each verb after analyzing its thematic roles and selectional restrictions. In this way, the present paper is significant since it helps in improving the performance of MT systems. The present paper will focus only on a group of English verbs that convey a variety of meanings. It will show a number of problematic cases in translation that occur due to the lack of thematic roles in the core of the system. After developing thematic roles, it is expected that such cases will be disambiguated.
Development of the Rumah Karya application in the educational technology study program as a media database for the works of lecturers and students

This research aims to produce Rumah Karya applications that provide a media product database for lecturers and students in the Educational Technology Study Program at Makassar State University. The research method used in this research is RD (Research and Development), with the ADDIE development model divided into five stages: analysis, design, development, implementation, and evaluation. The Rumah Karya application has been validated by the head of a study program as a material expert and an information technology (IT) expert. Validation from material experts obtained an average of 98% very feasible category, and validation from IT experts obtained an average of 92% very feasible category. This application has been tested by lecturers and students in the Educational Technology study program, which produces an average of 83.8% which includes a very feasible category. The Rumah Karya application has been registered as intellectual property rights at Makassar State University. The Rumah Karya application has been implemented and integrated with the Educational Technology study program website. This research has the potential to carry out further research related to additional development features in Rumah Karya that can enhance the user experience in using the application. This research can also be extended to other study programs or other educational institutions to measure the generalization of Rumah Karya's application in improving the quality of media products in educational institutions.
SQ3R Techniques with Let's Read Application for Improvement of Reading Comprehension in Low Class Elementary Students

The purpose of this study was to determine the planning, process, student responses and the obstacles faced in the application of the SQ3R method with illustrated story media in learning reading comprehension for fourth grade elementary school students. This research is a qualitative descriptive study which was conducted in the fourth grade of SDN 03 Baosan Lor, Ponorogo with a total of 31 students. The methods of data collection were observation, interviews, questionnaires, and documentation. Data analysis uses the Milles and Huberman model, namely data reduction, data presentation and conclusion drawing. The results of this study indicate that lesson plans such as syllabus, lesson plans and media are well structured and planned. The learning process creates an effective atmosphere, runs smoothly and pleasantly, students respond to learning with a very positive response, and the obstacles faced are less than optimal time allocation, and there are 2-3 students who have difficulty in following the learning stage because they are still confused and do not understand. pay attention to the teacher during the learning process.
Introducing Indonesian Culture through Educative Boardgame Using Augmented Reality: A Prototype of Grand Indonesia Java Edition Boardgame

The use of digital media in education is a necessity nowadays. This is also an effect due to conditions of Covid-19 pandemic. Although there is a stigma that digital media has an unfavorable impact on the student learning process, technological developments also support creative concepts that can be used at the educational level. Based on these conditions, the idea emerged to develop an educational media based on boardgames to provide a learning process. In this study, researchers chose a general topic as the basis for the content of the boardgame, which is Indonesian culture. This topic was chosen considering the need for the younger generation to understand about Indonesian culture as their homeland. The research method in finding content is collecting data about Indonesian culture from books and the internet. While the design development uses qualitative methods as the basis for thinking. In this development, the resulting prototype is a combination of designs on paper and the use of smartphones in the explanation process using Augmented Reality technology. It is hoped that this prototype can become a design that attracts the interest of the younger generation to learn about their own culture.
Optimizing Indonesian Language Learning During the Covid-19 Pandemic in Elementary Schools

Learning during the pandemic has an impact on student learning activities in learning Indonesian. This impact causes learning to be carried out online. The purpose of this study was to find out how the teacher's strategy was to optimize Indonesian language learning in elementary schools during the covid-19 pandemic. This research is descriptive qualitative research that examines the strategies of elementary school teachers in optimizing online learning. Data collection techniques using observation, interviews and questionnaires. The research was conducted at an elementary school in Madiun with 10 grade 4 teachers as the subject. The results of optimizing Indonesian language learning show that students learn Indonesian using thematic books with Whatsapp group application services, google meet, google classroom, Microsoft 365, google form, social media. The results of the assessment are carried out using quizzes or tests in the form of assignments.
On quantum computing and geometry optimization

Abstract Quantum computers have demonstrated advantage in tackling problems considered hard for classical computers and hold promise for tackling complex problems in molecular mechanics such as mapping the conformational landscapes of biomolecules. This work attempts to explore a few ways in which classical data, relating to the Cartesian space representation of biomolecules, can be encoded for interaction with empirical quantum circuits not demonstrating quantum advantage. Using the quantum circuit in a variational arrangement together with a classical optimizer, this work deals with the optimization of spatial geometries with potential application to molecular assemblies. Additionally this work uses quantum machine learning for protein side-chain rotamer classification and uses an empirical quantum circuit for random state generation for Monte Carlo simulation for side-chain conformation sampling. Altogether, this novel work suggests ways of bridging the gap between conventional problems in life sciences and how potential solutions can be obtained using quantum computers. It is hoped that this work will provide the necessary impetus for wide-scale adoption of quantum computing in life sciences.