Reviewerly/exHarmony huggingface dataset:
Rounding Windows : Reinforce Concepts of Rounding Numbers and Develop ICT Skills Among Special Needs (SEN)

This study was conducted to address the problems faced by special needs students (SEN) in the new Special Education Secondary School Standard Curriculum for Mathematics Form 1, which is topic of Rounding. The main problem identified among SEN in teaching and facilitating sessions is they have short attention span and uninterested in conventional ways. SEN require more time to comprehend a new concept plus, they also tend to forget if not applied. Therefore, they need hands-on and fun learning materials to support the learning process in accordance with 21st century learning (PAK21). This project-based learning is aimed to develop ICT skills and reinforce concepts of rounding numbers among SEN with collaborative, using of ICT and real-world problem solving in five weeks duration time. Intermediate function of SEN with Learning Disabilities need to collaborate in design, create and produce the learning materials properly. The 'Rounding Windows' kit where made by them is used to reinforce the basic concept of rounding numbers. Pupils are shown some examples and solutions to use rounding in daily routine. The Rounding Windows was registered copyright by MyIPO and SENs were involved to expose in exhibition booth and innovation competition. The findings identified through pre-test and post-test results demonstrates that students’ achievement in rounding skills increased after used this material. The post-test results showed 28.29% improvement from 54.00% to 82.29%. They also learnt to appreciate a particular thing as well as be responsible. They boost up their self-esteem on public, manage sales revenue of selling the learning kit and upgrade classroom facilities as an impact of this project. The conclusion of this study has been to improve students' ability, ensure inclusive and equitable quality education as state in no 4’s Sustainable Development Goals (SDGs). This approach could potentially be further expanded in the future.
The Application of Computer Internet of Things in Modern Agricultural Planting Management

The Internet of Things (IoT) is a technology based on the Internet, which establishes a connection between objects with independent functions. The application of the IoT technology in the field of agriculture has received widespread attention from all walks of life. China is a big agricultural country. The IoT technology can improve the level of modernization and intelligence of agricultural production, which is conducive to the development of agricultural production towards precision, greenness and high-end. This article introduces the specific content of the IoT technology, analyzes the specific application form of the IoT technology in agriculture, and explains the economic and social benefits of the IoT technology applied to agriculture.
Инновационная направленность деятельности преподавателя вуза

The article deals with significant changes in the educational process of a modern university, focuses on the change in motivation and value orientations of teachers of an innovative university in connection with globalization. Attention is drawn to the characteristics of modern education as a new social industry, due to the digital economy and the new generation of students. The article notes that digital learning (such a concept was introduced in the thesaurus of professional pedagogy) sets new lines in pedagogical activity, meeting resistance of some teachers who are not ready to use electronic tools and perform new professional functions, for example, monitoring learning outcomes. An increase in the teaching load causes teachers to distrust the reforms carried out in education, and sometimes professional deformation. It is proved that the quality of education is determined not only by digital technologies, but also by the quality of educational conditions, professional and pedagogical competence of the teacher. At the same time, methodological support of experienced teachers is required to adapt to innovations and beginners in order to compensate for the lack of knowledge, skills and abilities when performing innovative tasks. The article provides a link to the experience of organizing advanced training for teachers at Samara University, the essence of which is that the results of research on relevant pedagogical problems by its teachers become the basis for determining the content of programs in the system of further education.
Dynamic Network Optimization Analysis Based on Multi-network Measurement Big Data

To meet the network dynamic optimization demand based on multi-network measurement big data, it proposes data optimization methods, steps and key points of the work flows. Through processing big data including the forthcoming operation and maintenance center OMC, mobile switching center MSC, base station system of traffic, analytic hierarchy of process data, voice quality test, customer suing, plot content of the frequency distribution, survey of the design data and current running data, it builds up the necessary design parameters database. Using hierarchical system structure, the fuzzy comprehensive evaluation method and evaluation model, it obtains the optimization solution. It shows the feasibility and the scientific of the evaluation method through comparison and actual effect between a community network optimization based on the big data.
Ground Truth Annotation, Analysis and Release of Data set of Radiographic Images of Bone Fractures

Bone is the tough, locomotive tissue of the body which is subjected to fractures very often. Advancements in Computer Aided Diagnosis (CAD) have leaded the researchers to develop robust algorithms to reduce human error in assessing different types of pathologies. This paper focuses on the data set release of the plain radiographic images of bone fractures which include both “Ground Truth Annotated” and “Non-Annotated Images”. The data was collected from the Radiology Department of Pakistan Institute of Medical Sciences, Islamabad, Pakistan in the form of digital images which were 8,345 in number, out of them 735 images were of bone fracture. The bone fractures were annotated manually to provide “truth” for the spatial location of bone fracture. The type of bone affected, area affected of the bone fractured, type of fracture, potential laterality of the affected bone and x-ray projection had also been identified and reported in the form of a data sheet. These features are expected to help training classifiers for CAD analysis of bone fractures. Frequency analysis of essential features had been performed to accentuate the data. The data set will provide grounds for the research community to manipulate for various CAD operations which may include estimation of precision of the developed CAD operators.
Quantitative and Qualitative Approach of Scientific Paper Popularity By Naïve Bayes Classifier

Usually, scientific research begins with the collection of data in which online social media tools can be some of the most rewarding and informative resources. The extensive measure of accessible information pulls in users from undergraduate students to postdoc. The search for scientific themes has popularized due to the availability of abundant publications that resides in scientific social networks such as Mendeley, ResearchGate etc. Articles are published on these media inform of text for knowledge dissemination, scientific support, research, updates etc, and are frequently uploaded after its publication in a proceedings or journal. In this sense, data collected from database often contains high noise and its analysis can be treated as a characterization undertaking as it groups the introduction of a content into either good or bad. In this text, we present quantitative and qualitative analysis of papers popularity in Mendeley repository by using naive Bayes Classifier.
A Hybrid Computational Intelligence Algorithm to Transform Traditional IPC Into a Smart Camera

To meet the real-time requirements of major industry players and society, today, far and wide, there are video surveillance systems. With the recent development in technology and reduction in hardware costs, the number of cameras installed per kilometer is now increasing. The major challenge with video analytics is storage and response time. This chapter discusses transforming an IP camera into an Intelligent Camera by proposing a hybrid method of computational intelligence techniques like fuzzy, genetic, swarm optimization, reinforcement learning, ensemble methods, and deep belief networks to perform analysis at the place of data generation itself. With the acquired intelligence, a hybrid algorithm for anomaly detection and scene identification using fuzzy logic and deep learning can be designed. Deep learning models promise quick response time and better accuracy levels on image identification.
Design of spaser-like nanoparticle systems for nonclassical optical states generation

Abstract The quantum features of photon generation in multiparticle spaser systems consisting of metal nanoparticles and semiconductor quantum dots are investigated. We found the conditions for stationary regime of single-photon generation in spaser systems. In particular, in order to achieve a balance between gain and loss in the system, we determined the chemical and geometric characteristics of nanoparticles and quantum dots by using the optimization algorithm. The strong dipole-dipole interaction between nanoparticles in the spaser system is studied. We show that these conditions can lead to the violation of Cauchy-Schwartz inequality and appearance of nonclassical correlations in the system. The generation of entangled photons in a three-particle spaser system with nonlinear plasmon-exciton interaction is theoretically demonstrated. The introduction of an additional degree of freedom in the form of an external magnetic field leads to a change in the energy levels of quantum dots and provides the possibility to control the quantum properties of generated photons. We proposed the model of an effective subwavelength source of entangled photons controlled by an external magnetic field.
Организация творческой деятельности студентов: цели, методика, результаты

Creative activities of both students of Master’s and Bachelor’s degree programs refers increasingly to scientific creativeness although it is stated that training on Bachelor’s degree program is based on competence and practical-oriented approach carried out towards preparing professional workers required at the labor market rather than researchers. The government’s fostering actions promoting student creative contests are focused on identifying and supporting young talents primarily through all-Russian student Olympiads, which have recently been the most popular state-sponsored form of competitions. Nevertheless, within the frames of the Russian educational system students’ creative contests are useful and productive not only to identify and support a limited amount of young talents but to improve the quality of training for much greater number of students. Therefore, the aim of this research is to substantiate that the forms of student creative contests would be more responsive to professional specifics of Bachelor training and perform an increasing range of functions: generating of enthusiasm for learning, developing competition skills and abilities to evaluate the competence level. Moreover, the governmental educational policies should be built upon previously established organizational forms of such contests. It is distinguished that the “Olympic movement” has definite drawbacks, which was evidently proved by the results of the Olympiad conducted for bachelor students of “Advertising and Public Relations” training area. Some all-Russian creative contests for students of media communications, design and adjacent specialties were briefly reviewed. The analysis of almost ten years of the author’s experience of creative activities organization of the students of “Advertising and Public Relations” training area studying at Belgorod University of Cooperation, Economics and Law allows to examine motivation, the forms of student association work, the outcomes of the student participation in various creative contests and to address such issues as the possibility of using contests’ outcomes as an assessment measure for a competence level. The author states the fairness of such evaluation approach. Additionally, the main and the supporting effects of the association’s activities are discovered and the basic methodological approaches to this form of student creativeness promotion are defined. The student creative association, which goal is to participate in all-Russian contests of professional skills is able to face a wide range of educational challenges. Furthermore, the logic of the practically-oriented approach suggests that the initiative in organization of creative contests should belong not to universities but to non-for-profit professional associations.
An Empirical Study on the Supply Chain Management Capacity and Financial Performance of Electronic Manufacturing Companies in Korea

최근 글로벌 무역 패러다임의 변화와 함께 국내 수출입 전자 제조기업의 공급체인관리(Supply Chain Management)의 중요성이 대두되고, SCM 역량과 공정혁신을 도와주는 생산관리역량 강화에도 전례 없는 노력을 필요로 한다. 이에 따라 본 연구는 실질적으로 SCM 역량 및 생산관리 역량이 기업의 재무적 성과에 어떠한 영향을 미치는지 알아보고자 하였다. 실증분석을 위해 150곳의 국내 수출입 전자 제조기업을 대상으로 총 400부의 설문지를 배포하였다. 회수된 226부를 바탕으로 실증분석을 진행한 결과 다음과 같은 결과를 도출 하였다. 기업의 프로세스혁신 역량 및 재고관리 역량은 생산관리역량에 정(+)의 영향을 주었으며 생산관리역량은 재무적 성과에 정(+)의 영향을 미치는 것으로 확인되었다.With the recent change in the global trade paradigm, the importance of Supply Chain Management (SCM) of domestic electronic manufacturing companies has been enhanced as well as SCM capabilities and production management capability of manufacturing companies. Accordingly, this study aims to find out how the SCM capacity and production management capabilities actually affect the corporate performance. For empirical analysis, a total of 400 questionnaires were distributed to 150 domestic import and export electronic manufacturing companies, and analysis was conducted based on 226 questionnaires, and the following results were obtained. It was confirmed that the company’s process innovation capability and inventory management capability, and the production management capability had a positive effect on the financial performance of the company. In the future research, research on the effect of information technology competence on the financial performance and production management competency of the company is needed depending on the financial scale.
An Empirical Analysis of Data-driven Intelligent Teaching Based on Cloud Class Platform

At present, with the vigorous development of education platform, it is necessary to evaluate the effect of teaching process based on the data on the platform, but the evaluation method is relatively simple, lacking the data-driven evaluation based on the learning process. In order to achieve data-driven learning evaluation and improve teaching efficiency, the cloud class platform is used to collect the data of learners' learning process and the analysis and research of data visualization are carried out based on the platform. First, the students are divided into four categories by harmonic curve and cluster analysis. Second, the advantages and disadvantages of all kinds of students are pointed out by correspondence analysis. These results can guide teachers to use education data to mine the relevance between achievements and knowledge points, and help teachers to implement the talent training strategy of individualized teaching, improve teaching quality, provide timely feedback and control for students' learning, facilitate students' independent learning and improve learning effect.
REAL TIME PEOPLE FLOW COUNTER AND ESTIMATION USING DEEP LEARNING

A real-time people flow counter and estimation using deep learning is the significant device in computer vision and a predictable knowledge discovery application in security, entertainment, tourism and corporate business. However, the state-of-the-art machine learning, deep learning and computer vision methods have complete this technology as a game-altering and even better human identification and counting part in terms of accurateness. This paper focuses on one of the progressive deep learning tools in people counting to achieve higher efficiency. Also, focus on image processing approach to count the number of people entering and exiting a defined place using neural networks. Here, the model is trained by artificial neural networks and computer vision. Real-time people flow estimation is very important for several applications like security, business, tourism, and other fields where people flow surveillance is required.
Твори для баяну українських композиторів: історія та сучасність

The article discusses the features of the development of the bayan repertoire in the works of domestic composers. The leading tendencies associated with the movement from folk song arrangements and transcriptions of other works for bayan original repertoire are identified. In the bayan concert genre, the presence of folklore-romantic models and works of a more avant-garde direction is traced, where the solo bayan is accompanied by a symphony orchestra rather than a folk instrument orchestra. The salting instrument is positioned here not as an attribute of folk-instrumental culture, but as a universal chamber-academic instrument. Often, composers experiment with the ensemble, choosing not to accompany a large symphony orchestra, but rather a chamber composition. Such a sign is a manifestation of the creative approach to the genre and the freedom of its transformation. A fundamentally different approach to the interpretation of the solo instrument and orchestra is gradually emerging, providing a large space for creativity, accompanied by innovations in game techniques. Works for bayan with orchestra written over the last decades are characterized by high performance requirements. Composers are looking forward to empowering the bayanists by requiring a creative start in the performance process. And there is a shift in the emphasis associated with the perception of the instrument, because quite often now it is emphasized not the melodic, but the shock and noise beginning of the accordion. The development of performing skills is associated with the requirement to increase the role of the bayan player as a co-creator of the composer. The works of modern composers are characterized by the emergence of new playing techniques and the transformation of the role of the bayan.
Inspection Computed Tomography Scan (Ct Scan) Whole Abdomen on suspicion Hepatomegali General Hospital Haji Adam Malik: Inspection Computed Tomography Scan (Ct Scan) Whole Abdomen on suspicion Hepatomegali General Hospital Haji Adam Malik

Inspection Computed Tomography Scan (CT Scan) Whole Abdomen on suspicion Hepatomegali General Hospital Haji Adam Malik Medan. The purpose of writing this paper is to determine the location, type, and size of hepatomegaly and describes the inspection technique in getting a picture with good resolution in a CT scan of the abdomen with suspicion whole hepatomegaly. Type examination is conducted whole-abdominal CT scan which examines techniques using multislice CT scan plane with helical technique that produces 16 slice / slice each one scan. By using this type of thermal blue movie film and using the system to record the movie dryview object shadow of the film and used pieces of axial image capture. Patients should also make preparations beforehand fasting gastrointestinal function to see the patient free of air and feces. Patients also must perform urea and creatinine lab tests to see kidney function, and patients also do skintest to see the patient's immune system to a substance of contrast media that will be provided. Then the preparation of tools and materials that include CT scan plane is ready to use, tool for injection of contrast agents such as syringes, alcohol cotton, plaster, nierbekken, torniquet, and oxygen. The materials needed are koontras iodine media to be injected intravenously. The resulting picture is a picture CT Scan of Tn.saragih abdominal cavity, where the picture liver enlarged shapes and sizes, regular edges, partial liver parenkhim density appears to be increasing and it can be concluded from an examination of the abdominal CT scan whole Tn, saragih that he suffered hepatomegaali / enlargement of the liver. Therefore the whole abdominal CT scan can provide more accurate diagnostic information to the physician to diagnose pathology kususnya contained in the cavity of the liver in cases of hepatomegaly and can give a decision for examination and further treatment.
Design and Simulation of MEMS Accelerometer for the Application of Seismic vibrations

Aim: Using accelerometer to detect the vibrations produced during earthquake. Backgorund: The big challenge facing the Earthquake Early Warning Systems (EEWS) is to accurately detect seismic tremors at the edge of the early warning system or outside of the earthquake seismic system.[1]. During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. Objectives: During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. The EEW network intensity usually determines the efficiency of both the EEW system An upgraded low-cost Micro Electro Mechanical System MEMS based device called GL-P2B to reduce sensor costs and establish a dense EEW In the this study, a dense EEW network was also developed to maximize the density of the seismic network for EEW applications. A tri-axial sensor with high-dynamic MEMS called GL-P2B was developed. This sensor was upgraded from the previous version by enhancing the CPU's processing capability and correcting certain errors found during the initial test cycle. Methodology: An autonomous sensor with an acceleration sensor is launched in this article First; we systematically evaluated a series of acceleration sensors to select the most suitable acceleration sensor using mems by analyzing their quality and accuracy, and then created a dedicated tool that can monitor earthquakes. Our result shows that an earthquake can be detected with a low-cost acceleration detector, thereby enhancing the safety of vulnerable groups against earthquakes. Results: There have been two earthquakes recently: Gyeongju Earthquake in magnitude 5.6 and Pohang South Korea Earthquake in magnitude 5.4 respectively in 206 and 2017. As a result, earthquake detection and response in a relatively short period of time was highly demanded. The use of seismic smart phone systems is one solution, but it is expensive to use a smartphone to track seismic events and to allow participants to use their smartphones as just another seismic detector. However, because of the existence of smartphones which are used extensively in our everyday lives, a large percentage of smartphones are useless for earthquakes to be detected. We also built a clever tool in this paper that can be mounted to a wall or to a ceiling. The system is only fitted with sensors that include an accelerator and the price in comparison to intelligent telephones is very small. Conclusion: In this paper, we have used an appropriate capacitive sensing technology to create the accelerometer. We have designed and simulated the accelerometer to measure the seismic vibrations by FEM Tool. The simulated results show that the unit is modelled on a 3Hz resonant frequency and therefore it senses the acceleration between 2 and 8 Hz.