Reviewerly/exHarmony huggingface dataset:
Prediction of Crime Scene Objects Using Deep Learning

The crime rates today can inevitably put a civilian's life in danger. While consistent efforts are being made to alleviate crime, there is also a dire need to create a smart and proactive surveillance system. Our project implements a smart surveillance system that would alert the authorities in real-time when a crime is being committed. During armed robberies and hostage situations, most often, the police cannot reach the place on time to prevent it from happening, owing to the lag in communication between the informants of the crime scene and the police. We propose an object detection model that implements deep learning algorithms to detect objects of violence such as pistols, knives, rifles from video surveillance footage, and in turn send real-time alerts to the authorities. There are a number of object detection algorithms being developed, each being evaluated under the performance metric mAP. On implementing Faster R-CNN with ResNet 101 architecture we found the mAP score to be about 91%. However, the downside to this is the excessive training and inferencing time it incurs. On the other hand, YOLOv5 architecture resulted in a model that performed very well in terms of speed. Its training speed was found to be 0.012 s / image during training but naturally, the accuracy was not as high as Faster R-CNN. With good computer architecture, it can run at about 40 fps. Thus, there is a tradeoff between speed and accuracy and it's important to strike a balance. We use transfer learning to improve accuracy by training the model on our custom dataset. This project can be deployed on any generic CCTV camera by setting up a live RTSP (real-time streaming protocol) and streaming the footage on a laptop or desktop where the deep learning model is being run.
Students’ Perception toward the Use of Note-Taking Strategy in Listening Class

As one of the receptive English skills, listening has a significant role as a primary skill for daily communication. Despite its importance, the requirement for doing listening tasks in an academic context has to lead the students to use more practical and effective listening strategies to improve their listening skills and competence, as well. The purposes of this study were to investigate students’ perception towards Note-Taking used in doing a listening activity at listening class, also to find out the benefits and difficulties of note-taking for students. This study used a survey research design by integrating a mixed-method, in which the data was analyzed in qualitative and quantitative ways. The participant of the study was students of English Education Study Program of Pattimura University in the academic year 2017. Classroom observation, a questionnaire, and interview were employed as the techniques in collecting the data. The result showed that 90% of the students have a positive attitude that note taking is important for them to gain information easily. Besides, to see the benefit and difficulties, students’ response that they get more benefits than difficulties in using note-taking enable the students to do the listening activities as being required.
Rule-Guided Compositional Representation Learning on Knowledge Graphs with Hierarchical Types

The representation learning of the knowledge graph projects the entities and relationships in the triples into a low-dimensional continuous vector space. Early representation learning mostly focused on the information contained in the triplet itself but ignored other useful information. Since entities have different types of representations in different scenarios, the rich information in the types of entity levels is helpful for obtaining a more complete knowledge representation. In this paper, a new knowledge representation frame (TRKRL) combining rule path information and entity hierarchical type information is proposed to exploit interpretability of logical rules and the advantages of entity hierarchical types. Specifically, for entity hierarchical type information, we consider that entities have multiple representations of different types, as well as treat it as the projection matrix of entities, using the type encoder to model entity hierarchical types. For rule path information, we mine Horn rules from the knowledge graph to guide the synthesis of relations in paths. Experimental results show that TRKRL outperforms baselines on the knowledge graph completion task, which indicates that our model is capable of using entity hierarchical type information, relation paths information, and logic rules information for representation learning.
ANTI-CORRUPTION MECHANISM OF SOCIAL MEDIA

The advent of the Internet era has increased the ways for people to participate in political life and online media has become a force that cannot be ignored in fight against corruption. How to use social media for effective online anti-corruption constitutes a major problem. Based on the Multi-value set analysis method, this article analyzes the anti-corruption cases that have occurred on social networks from 2008 to the present. A total of three invalid paths and seven effective paths for Internet anti-corruption are obtained. The path is more effective that whistleblower has direct contact with the officials and the officials at the bureau rank. The whistleblower has no contact with the officials and the official’s rank is at low level, which is more likely to fail. The future development direction is to use technology to empower anti-corruption and to carry out anti-corruption through emerging social media. The government should take an institutionalized path to promote the sound operation of online anti-corruption.
The Use of Gaze in Human and Machine Vision

The modern study of human vision increasingly emphasizes its function in natural behaviors and complex computer games.The more complex settings call for visually directed multitasking management, so that a venue almost absent a decade ago is now a central concern.With that development has seen the study of gaze allocation.This study has been accelerated with the development of inexpensive eye trackers that are robust for moving subjects in both natural and virtual environments.Yet another trend has been the use of models that are programmed with learning algorithms.A final trend is that as these models become ever more sophisticated, they are engendering two-way interactions of the techniques between human and robotic approaches.The presentation will describe examples of all these developments.
Solar Tracking Using Extended Mean Shift Based Color Histogram

Nowadays, there are many solar tracking applications using photodiode sensors and Solar Position Algorithm.This tracking depends on the power of light and natural conditions.Inaccurate sun tracking causes the heat concentration to become weak and miss focus on heat-receiving objects.We developed a tracking algorithm to track the sun to support the control system of the dual parabolic concentrator.This algorithm is based on Extended Mean shift to find the tracking position of an object in a video sequence.This algorithm is effective since it exploits the estimation of kernel density for searching the local maximum of a similarity measurement of the color histogram.The Expectation Maximization algorithm functions to estimate model parameters and update the histogram display.An updated color histogram will improve the average shift tracking accuracy and reliability.We successfully applied this algorithm for solar tracking using 148 frames of data.In this experiment, the results obtained in the form of the average value of the color similarity of an object tracking with a truth tolerance percentage of 98.39%.
SMART-EDUCATION IN TODAY'S EDUCATIONAL SPACE

The article considers Smart-education and its basic principles. The author presents that Smart-education is a learning process which uses technological innovations and Internet resources. After all, it gives students the opportunity to acquire professional competencies based on a systematic multidimensional vision and study of disciplines, taking into account their multifaceted nature and continuous updating of content. The article shows the concept of Smart-education, which reflects the creation of an intellectual environment, continuous development of competencies of participants in the educational process, including formal and informal learning activities based on the latest technologies. Thus, the introduction of Smart-technologies in education will lead to the transition from the old system of reproductive knowledge to a new, creative form of learning using innovative methods, and will provide the necessary knowledge and skills that will not be necessary for students in the future. In the article, the author notes that education, which is based on three educational activities, ie arithmetic, reading, writing, moves to education that improves such seven skills as: creativity and innovation; communication; intercultural understanding; cooperation and leadership; ICT literacy; career and life skills, critical thinking and problem solving. These are the seven skills that Smart-education in the 21st century will incorporate. At the same time Smart-education implies that the teacher must use technological innovations and Internet resources. Thus, smart education provides new opportunities for teachers, namely to share experiences and ideas, do more research, save time, and so on. As a result, in Smart-education the teacher is the person who is represented on the Internet through: distance learning, presentation of courses; conducting video lectures; consultancy; checking tasks; conducting face-to-face and correspondence seminars and web conferences. Smart education also has certain tasks, namely the development and implementation of electronic textbooks; strengthening education in the field of ethics of using ICT to solve ICT-related social problems; creating a basis for educational services; etc.
Analisis Kepraktisan Buku Ilmiah Populer Keanekaragaman Jenis Ikan Berbasis Penelitian Sebagai Bahan Pengayaan Mata Kuliah Zoologi Vertebrata Konsep Ikan

Popular scientific book is one of the teaching materials which is used in the learning process. adn connect information with community. Popular scientific book is very useful for students. It helps to enhance students’ insight and knowledge about the material which is being studied by the students. Especially, the material which are based on local potential. The existence of popular scientific books with local potential support students. Therefore, by knowing the objects in their environment, students will understand more deeply about the study of material because the objects of study presented and can be seen on a daily basis. The purpose of this study to analyze the practicality of BIP on the diversity of fish species as an enrichment material for the Vertebrate Zoology Course in Fish Concept. The research method is descriptive quantitative, to find information on the practicality of teaching materials which is scrutinized based on the research results, using the Research and Development. The subjects of practicality data are 7 students and 10 students for student responses. The results of this research shows that the teaching materials compiled based on the results of the study were obtained for readability in the very good category and student responses stated that popular scientific books were practical to use.
Intelligent Learning First Aid (ILFA BOT)

This project focused on Artificial Intelligent (AI) and a chatbot represents machine that answers questions using Natural Language Processing (NLP) and allows the user to start a conversation with the machine.This paper presents the intelligent learning system for first aid called ILFA bot that aims to create intelligent virtual human agents to serve the role of online first aid guide for students.The research only covers the topic of First aid and the modules in ILFA website are Home, About Us, Contact and Video.The topics covers in First Aid are burns and scalds, bleedings, bone fractures, poisoning and Cardio Pulmonary Resuscitation (CPR).This web is a responsive web.Responsive web design (RWD) is a web development approaches that creating a dynamic changes to the appearance of a website, depending on the screen size and orientation of the device being used to view it.The different this web to other learning website is student can communicate with our bot namely ILFA to ask about First Aid.The students will be able to learn about the First Aid in an interactive way with all the information video and if there are any further inquiries, they can communicate with the ILFA Bot.The architecture that use in this research is 3-tiers technology and a waterfall model as a methodology in this project.To test the function of ILFA bot, the researcher uses Black Box testing.The testing is based on chatterbox challenge and questions.The result from testing shows that ILFA Bot get 358 out of 500 points, 24% from the points is full mark from overall question.
Sistem Pengecekan Status Dokumen Jemaah Umroh Pada PT. Solusi Balad Lumampah Cabang Jakarta Berbasis Web

Currently many Muslims are traveling to perform the pilgrimage and umroh. It is also supported by one of the religious obligations of Islam that ordered the followers to perform the pilgrimage and umrah for the capable. But to be able to travel hajj or umroh is required for to have some supporting documents. Related documents supporting the pilgrims and umroh journey if prospective pilgrims have lack of supporting documents, the administration of PT. Balad Lumampah solution will contact prospective congregation by phone or SMS which is considered very inefficient. The purpose of this research is to build a system of checking the status of pilgrim document by using website at PT. Balad Lumampah Solution. The method used for system development is Prototyping and built with PHP programming language. The result of this system is facilitate prospective congregation in knowing the development of supporting documents being processed.
Edmodo as An Online Instructional Delivery Technique for Sustaining Teaching and Learning Activities in Covid-19 Era in Public Universities in North-Central, Nigeria

This study centered on Edmodo as an online instructional delivery technique for sustaining teaching and learning activities in covid-19 era in public universities in North-Central, Nigeria. The study was guided by two objectives and two research questions and one hypothesis. This study adopted descriptive survey and quasi-experimental research designs. The sample of the study comprised 100 students in two universities (each for treatment and control groups) and 7008 lecturers drawn from three public universities in North-Central, Nigeria. Stratified and simple random sampling techniques were used for selecting universities and the sample of the study. First, stratified sampling was used to group both lecturers and students into two strata. Thereafter, simple random sampling was used to select the universities and sample of the study; using lottery method with replacement. 10% proportionate sample was used to select the lecturers. Curriculum Studies Achievement Test (C-SAT) and questionnaire were used as instruments for data gathering. Data collected were analyzed with simple percentage, mean and t-test statistical techniques. Finding showed that the level of awareness of university lecturers on Edmodo as a technological instructional delivery technique is very low or poor. It was also indicated that there is significant difference between the mean achievement scores of university students taught curriculum studies with Edmodo and their counterparts taught with lecture technique; as those in the treatment group performed better than those in control group. The study recommended that: school management, the government and ICT-related Non-governmental organizations should help in organizing workshops and seminars for lecturers in order to advance their knowledge and awareness on ICT usage especially Edmodo and others. Also, since the students who were taught with Edmodo significantly performed better than their counterparts in the control group who were taught with lecture method, lecturers should be encouraged to use Edmodo for teaching and learning.
Interpersonal Communication &amp; Its Impact on Job Satisfaction

To stay sustain in the highly challenging and competitive global market is essential for all businesses. To get highest productivity in companies, interpersonal communication fills the gap between various system and management. Motivated employees for better performance, efficient communication is must to achieve this. This study examines the association between three communication patterns i.e. Upward Communication, Downward Communication, Horizontal Communication &amp; Job satisfaction of employees work in large scale industries in Pune. From this study researchers have tried to indicate a positive relationship between interpersonal communication and performance of employees. Employees of large sectors need to improve level of communication to enhance the Job satisfaction and commitment and hence retention in organizations. Without interpersonal communication, there may be lots of issues take place. Management and coordination of different departments in various functions can also be possible with the use of systematic interpersonal communication system. A good interpersonal skills are always proved important for employees in making organizations successful and it affects different elements of organizational effectiveness.
Discussion on Accounting Practice Teaching Reform of Applied Universities Against the Background of Internet Plus

Under the background of "Internet Plus", the social economy and Internet technology have developed rapidly, and accounting work has undergone tremendous changes.The training of accounting talents in applicationoriented colleges and universities has been insufficient to meet the actual needs of enterprises.Problems such as accounting practice teaching system lagging behind, one-sided practice teaching mode, and lack of qualified teachers, stick out like a sore thumb.In view of this, this paper discusses the practice teaching reform of application-oriented colleges and universities under the background of "Internet Plus" from three aspects: introducing Internet training platform, creating mixed teaching mode, and improving teachers' level by school enterprise cooperation.
Prosecution System and Digital Information Related Challenges before Prosecution System

This article describes the public prosecutor and its working. Pertaining with the first part of the article is introduction part of the Prosecution system and the second part is pertaining existing Digital Information Related Challenges before Prosecutor. This article also describes the problems of Data use and management and related problems of the office of the public prosecutor.
فعـاليــة برنـامـج إرشــادي معـرفي سلـوکي فـــي تنميــــــة التفکيــــــر الإيجــــــابــــــي لــدى طــلاب المــرحلــة الثــانــويــة The effectiveness of a cognitive behavioral counseling program for increcing positive thinking for secondary students

The result show that there are statistical differences in the marks rrange of the students of the two groups after applying the positive thinking measurement in favor of the experimental group. The average of the marks of the experimental group was (16.91), while the marks of the control group was (6.09). Man Witty value was statistically indicated at the level (0.01). This result assured the effectiveness of a cognitive behavioral program for increasing the positive thinking skills for the experimental group, but the control group had no effect. Also, there are statistical differences at the level (0.01) in the marks arrange of the experimental group before and after the positive thinking measurement applying in favor of the past-applying. This indicates high increasing in the positive thinking skills for the experimental group after applying the program، and shows the effectiveness of this program in achieving its purpose
Web Mining And Web Content Mining -A Brief

Data mining is the method of extracting useful knowledge from volume of dataand converting it into usable framework for potential use. Data mining has various categoriesof applications as XML mining, web mining, text mining, etc. This paper gives a detailedconcept of web mining. The growth of the web in recent years has increased gradually.There are billions of web pages, images, audio files, and video files available on the internet.Retrieving valuable user needed information from the web documents is a tediousprocess, and thus web mining has emerged. Web mining automatically extracts useful informationfrom web documents based on a user keyword. Web mining has three categoriesused for mining the web: web content mining, web structure mining, and web usage mining.
Peningkatan Hasil Belajar Siswa Pada Keterampilan Menulis Muatan Pelajaran Bahasa Indonesia Menggunakan Media Pembelajaran Kartu Kilas (Flash Cards)

&lt;p&gt;&lt;em&gt;The aim of this research is to determine the improvement of students ‘learning outcomes in writing skill of indonesian by using flash cards media. The research conducted was a Classroom Action Research (PTK) with three cycles consisting of two meetings. Each meeting is carried out a pre test and post test. The subjects of this study were grade I SD Negeri Banjaranyar 01 which consisted of 24 students. KKM standard 65 out of 24 students only 11 students or 45.8% who reached a value of 65 and above while 13 students or 54.2% got a score below KKM. The results showed that the improvement of students”learning outcomes in writing skills of Indonesian. In the pre-cycle obtained an average score of the 45.8%. Then increased in first cycle with a score of 58.3%, increased back in the second cycle 87.5%. These results indicated that using flash cards can improved the sudents”learning outcomes in writing skills of Indonesian especially grade I at SD Negeri Banjaranyar 01 Brebes.&lt;/em&gt;&lt;/p&gt;
UNSUPERVISED FEATURE SELECTION FOR TEXT CLUSTERING USING DIFFERENTIAL INVERSE DOCUMENT FREQUENCY

Text clustering is gaining importance among researchers because of rapid increase in the availability of online text collections without class labels.It helps to organize, summarize and retrieve useful information from corpora.High dimensionality of text datasets leads to poor performance of clustering algorithms.Dimensionality can be reduced using feature extraction or feature selection methods.Feature selection methods scale well and are easy to interpret.An unsupervised univariate filter feature selection method was proposed for dimensionality reduction.The proposed method outperformed nine other filter methods reported in the literature, by identifying most relevant features that lead to good clustering performance on eight popular text datasets.