Reviewerly/exHarmony huggingface dataset:
베이지안 회귀모델을 활용한 5G 사물인터넷 수요 예측

In 2019, 5G mobile communication technology will be commercialized. From the viewpoint of technological innovation, 5G service can be applied to other industries or developed further. Therefore, it is important to measure the demand of the Internet of things (IoT) because it is predicted to be commercialized widely in the 5G era and its demand hugely effects on the economic value of 5G industry. In this paper, we applied Bayesian method on regression model to find out the demand of 5G IoT service, wearable service in particular. As a result, we confirmed that the Bayesian regression model is closer to the actual value than the existing regression model. These findings can be utilized for predicting future demand of new industries.
Perencanaan Pergerakan Menggunakan Game Controller untuk Mengurangi Miskonsepsi pada Kinematika Robot

An interesting teaching materials that can improve students' understanding in studying theory is very important. Technological developments in the digital era need to be reviewed and can be used as opportunities for the development of interactive teaching materials. With the aim of reducing student misunderstandings in understanding and implementing a concept. For example, the concept of robot kinematics. Kinematics is a control system based on a mathematical approach in converting motor rotation into position and orientation coordinates or instead. In the process of calculation and conversion, students often experience discrepancies between calculations and real implementation. With the existence of teaching materials that are integrated with visual widgets that can represent the robot coordinates of position and orientation, it is hoped that it will reinforce students' understanding. The results of this study indicate that learning with technology integration can help improve understanding between concepts so that they become easier to understand.
Performance evaluation of SIFT against common image deformations on iban plaited mat motif images

Decorative plaited mat is one of the many examples of rich plait work often seen on Borneo handicraft products. The plaited mats are decorated with simple and complex motif designs; each has its own special meaning and taboos. The motif designs are used as a reflection of environment and the traditional beliefs in the Iban community. In line with efforts from UNESCO’s and Sarawak Government’s, digitization, and the use of IR4.0 technologies to preserve and promote this cultural heritage is encouraged. Towards this end goal, we present a novel image dataset containing 10 Iban plaited mat motif classes. The plaited mat motifs are made of diagonal and symmetrical shapes, as well as geometric and non-geometric patterns. Classification’s accuracy using scale-invariant feature transform (SIFT) features was evaluated against 6 common image deformations: zoom+rotation, viewpoint, image blur, JPEG compression, scale and illumination, across multiple threshold values. Varying degrees of each deformation were applied to a digitally cleaned (and cropped) image of each mat motif class. We used RANSAC to remove outliers from the noisy SIFT matching result. The optimal threshold value is 2.0e-2 with a reported 100.0% matching accuracy for the scale change and zoom+rotation set.
Neural Network based Privacy Preservation Data Mining for Social Network Sites

Due to increasing use of Online Social Networks (OSNs) applications such as Facebook, Twitter, etc., several research challenges related to security and privacy of OSN users introduced. The end users of OSNs expecting that social networks should strong enough to preserve their private data secure from the attackers. In this research work, we introduce the novel data mining based framework to protect the OSNs from various privacy violation concerns. Risk of disclosure of individual’s confidential information have risen tremendously due to widening of social network and publication of its data. From security perspective privacy retaining becomes mandatory prior to service providers publish network information. Recently, preservation of privacy in data of social networks has become most challenging and concerning problem as it has caught our lives in a dramatic way. Various methods of anonymization exist  that helps in retaining privacy of social networking. By developing graph and nodes degree,  k-Anonymity and among all available techniques is  an utmost one that assist in delivering security of information on internet. With major manipulation in editing of node techniques in this research paper, improvement of K-anonymity has been explained. With  integration of same degree in one group, clusters are developed and processes are repeated untill recognition and identification of noisy data is done. For minimizing node misplacement in groups an Advanced Cuckoo Search is commenced and processed. To cross verify structure and for reducing node miss placement in groups outcome of  Cuckoo Searches are combined with Feed Forward Back Propagation Neural Networks. We have computed the Information Loss and Average Path Length of proposed model. These results showed that the reduction in these parameters to a good extent compared to other implementations. These values of Information Loss and Average Path Length in case of a network with 9 nodes are obtained as 0.24 and 32.2 respectively.
Sistem Informasi E-learning Pada SMK Pariwisata Imelda Medan

The e-learning system with its various advantages is currently the main choice for academics to make new learning in the teaching and learning process in the field of education and is an alternative way that is suitable to be applied in order to understand the subject matter at this time. E-learning is a type of teaching and learning that allows students to convey teaching materials using internet media, Intranets or other computer network media. Through the system, students more easily access subjects, assignments and other information entered by the teacher into the e-learning system. So students can access easily,anytime and anywhere. Through the system, an additional learning interaction will be formed between the teacher and students. besides face-to-face interactions in the classroom. With this interaction can enrich the teaching and learning system and improve the quality of education at Imelda Tourism Vocational School Medan. The design and implementation results show that the system works well.
ANALISIS KESESUAIN (HOTS) HIGHER ORDER THINKING SKILL PADA ASESMEN SASTRA DI BUKU ERLANGGA DAN BUKU SEKOLAH ELEKTRONIK (BSE) KELAS XI SMA

To meet the need for cheap textbooks, the government took the initiative to compile School Electronic Books (hereinafter abbreviated as BSE). However, their popularity is still far behind other commercial books, for example the book published by Erlangga. This fact raises questions regarding the quality of BSE. If so, there is an indication that the quality of BSE is lower than the books published by Erlangga so that it is more of an option than the free BSE. This indication can be formulated by questions (1) Is the quality of BSE lower than Erlangga? (2) how is the suitability of HOTS questions?, (3) is BSE less suitable with HOTS compared to Erlangga ?, and (4) based on the two previous studies it can be concluded that the questions using HOTS have good quality in evaluating students. Meanwhile, in fact, there are still textbooks that have not fully used HOTS (Maharani [2015] and Julianingsih [2017]). This research uses a qualitative approach. The data obtained is in the form of qualitative data sourced from teaching materials for school electronic books (BSE) in the subject of Indonesian language class X SMA revision edition 2017. The data in this study are assessments used or generated by teaching materials in electronic school books (BSE). From the assessment, the types of assessment are analyzed, the operational verbs used, and the suitability of the operational verbs used with HOTS.&#x0D; &#x0D; Keywords: textbooks, BSE book, HOTS compatibility
THE EXISTENCE OF THE INFORMATIONAL FUNCTION OF THE MAKASSAR ORAL POETRY IN BUILDING THE STUDENTS CHARACTER

This qualitative study aims to describe the informational functions of Makassar oral poetry, which are full of the local wisdom values of Makassar culture in instilling values in speaking, acting, and behaving in the society, nation, and state. In this study, the researcher acts as a binding instrument. The data analysis technique was carried out in three cycles: data collection, data reduction, and drawing conclusions and verification. The main theoretical framework employed was Van Dijk’s discourse analysis with hermeneutics’ grand theory as an analysis tool. The analysis results showed that the informational function includes the educational, human existence, Tawheed purification, self-regret, prudence, and customs subject matters. This research will provide invaluable benefits for Indonesian and Regional Language and Literature teachers in developing their learning materials in class, especially in learning the appreciation of local cultural poetry in each region or country.
ACTIVITIES THAT BOOST STUDENTS’ MOTIVATION IN THE ENGLISH AS A FOREIGN LANGUAGE CLASSROOM

Motivation, as defined by Ullah and Fatema (2013), is an influence factor for achieving a specific goal. Or in other words, a driving force that encourages one to do something. Motivation plays a crucial role in acquiring and learning new information. In order to be able to learn something new, students need to have a driving force that encourages them to do, exactly that – be open to learning. Teachers are constantly faced with the challenge of keeping their students motivated, interested and engaged. That influence factor for achieving a specific goal, or motivation, is particularly needed when teaching literature. Teachers, especially those who teach English as a Foreign or English as a Second language, constantly face challenges when it comes to motivating their students to read, or be interested in literature at all. The challenge is even greater when in the regular classroom there is at least one gifted student (presuming they have already been identified as such). This makes the teacher’s job even more difficult. The aim of this paper, as the title suggests, is to propose activities that enhance and boost the motivation of EFL (English as a foreign language) students to read novels. The motivation of EFL students to read and understand novels can be fostered through Media/Digital Literacy and through the use of Drama Strategies. The activities proposed in this paper are beneficial even for gifted students in regular classes. Keywords: motivation, regular classroom, gifted, talented, literature, EFL
Arduino-Based Night Return Mechanism for Passive Solar Trackers

Solar trackers are support platforms that keep photovoltaic (PV) panels facing the sun by following the sun from dusk to dawn. There exist active solar trackers that make use of motors and gears to orientate the PV panels towards the sun; and passive solar trackers that operate through the differential heating of the fluid in the tracking rack in order to follow the sun. Passive solar trackers suffer from the lack of a night return mechanism and slow wake-up response in the mornings due to limitations on the surface inclination angle of the rack. This paper seeks to address these issues by proposing an Arduino-based night return mechanism for these passive solar trackers. An energy-saving heating element such as the Ultra Heating Fabric manufactured by WireKinetics Co. is installed on the west-side canister of the tracker. Before dawn, the fabric is automatically heated and this will force the refrigerant in the west-side canister to vaporize and cool in the east-side canister, forcing the tracker to return and face eastward before sunrise. The night return mechanism is designed and simulated using Proteus Profesional. Simulation results show that this system can significantly optimize the function of passive solar trackers.
Perspectives on Probabilistic Graphical Models

Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with he ...
ROBOTIC THEATRE: COMPARATIVE ANALYSIS OF HUMAN AND MECHANIZED ACTIVITIES IN THE CREATIVE PROCESS

The article systematizes and analyzes the existing experience of organizing the creative process in a robotic theater. The author explores the robotic theater phenomenon, the artificial intelligence technology possibilities to function in the stage space. The article provides a comparative analysis of human and mechanized interaction in the stage space. The methodological basis of the research is a combination of several methods: analytical – for accounting for historical and fictional literature; theoretical and conceptual method – for analyzing the conceptual and terminological system of research and identifying the specifics of introducing the artificial intelligence technology in creative process; comparative-typological – to compare the peculiarities of the functioning of mechanized “actors” with the acting skills of human performers. The article explores the threat perception and uncanny valley concepts to study the perception of a robot–actor by an audience. The author examines the process of human interaction with a robotic body: from the moment of interest, interaction to the moment of rejection of the robot by a person (audience).
Blueprint: Rechargeable Heater and Cooler Bottle / Nuraiman Khaliesah Kamal Baharin

BEBE Enterprise located in Cheras, Kajang that focus on the production of heater and cooler bottle which called as rechargeable heater and cooler bottle. This product produced by BEBE Enterprise is heater and cooler bottle that can be used anywhere and anytime. This bottle can be recharge by using solar energy and this bottle can heat up water or drinks inside the bottle up to 10 Degree Celsius when shaking the bottle. It can help solve the problem of people that have limited time through their daily life. The company was started on January 2020 and focusing to targeted customer who is occupation are students and employees, and focusing on people who take public transport going to office, people that always need to face traffic jam in the morning and also student that live in hostel. As the beginning for the business, we will concentrate in Peninsular Malaysia. Marketing of the product will be made through media social, official websites, banner, and give promotion price when launching the product. This product is a new product in Malaysia with combination of technology also design concept of decoration. The simple and light design makes the product easier to be used anywhere and anytime. The selling of this product will be starting from November 2020. As agreed in our agreement, every partner will contributed some amount of capital as start-up this business. We have agreed that Nuraiman Khaliesah as the General Manager that will lead this business successfully. Then, other positions which are as the Administrative Manager, Marketing Manager and Financial Manager will be given to other members which are Nadzatul Hajar, Syafiqa Emylyana and Nuralya Syafiqah respectively. Each partner has their own obligation and responsible that needs to follow and manage in order to have successful business.
High Accuracy and Effectiveness with Deep Neural Networks in Pathological Diagnosis of Prostate Cancer

PURPOSE: Due to the multifocality and heterogeneity, the pathological diagnosis of prostate cancer still faces some challenge. To establish an artificial intelligence (AI) system based on prostate histopathological whole mount (WM) sections to make the pathological diagnosis of prostate cancer. EXPERIMENTAL DESIGN: All WM pathological digital images was marked on the basis of the ISUP Gleason grade group by two pathologists. After image segmentation there were totally 2,138,895 patches, of which 1,646,535 patches were valid for training using modified U-Net as fundamental network architecture. Another 22 pieces of WM images from 12 patients were selected for the result testing. Comparisons of Gleason score distributions between training and testing sets were performed by the chi square test. ROC curves for the binary analysis plotted the true positive rate (sensitivity) versus the false positive rate (1 - specificity). The AUC was calculated as proposed by Obuchowski. RESULTS: 826 pieces of WM sections from 148 patients were assigned to the training set randomly. The value of pixel accuracy of three methods (binary analysis, clinically-oriented analysis and analysis for different ISUP Gleason grade) mentioned above were 96.93%, 95.43% and 93.88%, respectively. The value of frequency weighted IoU were 94.32%, 92.13% and 90.21%, respectively. CONCLUSIONS: The AI system not only identified cancer from non-cancer, but also evaluated the malignant degree by distinguishing the ISUP Gleason grade group with high accuracy at pixel level, which is comparable as a professional pathologist.FUNDING STATEMENT: This study was funded by the National Natural Science Foundation of China (81572519, 81772710 and 81802535), Invigorating Health Care through Science (ZDXKB2016014), Key Project Supported by Medical Science and Technology Development Foundation, Nanjing Department of Health (YKK 18064 and YKK18056).DECLARATION OF INTERESTS: The authors declare no competing interests.ETHICS APPROVAL STATEMENT: All the patients involved in the study were provided signed informed consent, which was approved by the ethics committee of Nanjing Drum Tower Hospital.
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation

Boundary based blackbox attack has been recognized as practical and effective, given that an attacker only needs to access the final model prediction. However, the query efficiency of it is in general high especially for high dimensional image data. In this paper, we show that such efficiency highly depends on the scale at which the attack is applied, and attacking at the optimal scale significantly improves the efficiency. In particular, we propose a theoretical framework to analyze and show three key characteristics to improve the query efficiency. We prove that there exists an optimal scale for projective gradient estimation. Our framework also explains the satisfactory performance achieved by existing boundary black-box attacks. Based on our theoretical framework, we propose Progressive-Scale enabled projective Boundary Attack (PSBA) to improve the query efficiency via progressive scaling techniques. In particular, we employ Progressive-GAN to optimize the scale of projections, which we call PSBA-PGAN. We evaluate our approach on both spatial and frequency scales. Extensive experiments on MNIST, CIFAR-10, CelebA, and ImageNet against different models including a real-world face recognition API show that PSBA-PGAN significantly outperforms existing baseline attacks in terms of query efficiency and attack success rate. We also observe relatively stable optimal scales for different models and datasets. The code is publicly available at this https URL.
SISTEM INFORMASI FRONT OFFICE UNTUK PENINGKATAN PELAYANAN PELANGGAN DALAM RESERVASI KAMAR HOTEL

The research aims to overcome the problem of managing customer data, room data, and transaction data manually at Hotel Fergael. The management of customer data, room data and transaction data that are processed manually, is overcome by building a Front Office Information System for hotel room reservations at Hotel Fergael. The results of the Front Office Information System research for hotel room reservations at the Fergael Hotel can be done quickly, effectively and efficiently at the receptionist's work time, making reports can also assist managers in seeing reservations that have or have occurred at the Fergael Hotel. The system is designed in the form of Visual Basic and uses a MySQL database. With this research, the receptionist can expedite the activities that run at the Fergael Hotel, especially room input, customer input, and room reservations that occur at the Fergael Hotel Pematangsiantar. Keywords: Information System, Visual Basic, MySQL, Reservation, Hotel
THE CORRELATION BETWEEN SELF-ESTEEM AND SPEAKING ABILITY OF THE TENTH GRADE STUDENTS IN SMKN 03 KOTABUMI ACADEMIC YEAR 2020/2021

Self-esteem is important thing in human life because self-esteem is used to describe a person's personal value. With self-respect we can know the overall view of a person on ourselves or our view of others. Therefore, we must be able to maintain our self-esteem, so that we can give a good impression to every human being. Similar to a student, students must have high self-esteem in order to overcome their lack of confidence when speaking in front of teachers and in front of many people. This research aimed to find out the correlation between students’ self-esteem and students’ speaking ability of tenth grade at SMKN 03 Kotabumi. This research used correlational research. Random sampling technique was applied to select the sample. Population of this research was tenth grade at SMKN 03 Kotabumi which consists of 405 students. The total of sample of this research was 43 students. The instrument used to collect the data were an oral test and questionnaire of students self-esteem. The result of this research showed that Ha is accepted with the result of hypothesis test tobserved is greater than ttable which is 33,270 ≥ 1.681, it means that there is significant correlation between students’ self-esteem and speaking ability of the tenth grade students in SMKN 03 Kotabumi academic year 2020/2021.
Design and Implementation of VR Surgical Serious Game using UE4

The introduction of virtual surgery system is of great significance to modern medical education. Virtual operation system can significantly improve the study efficiency of medical students and young doctors, achieve the goal of repeated training, and make up for the shortcomings of traditional medical education. As social digitalization intensifies, the construction of virtual surgery system in the medical field is urgent. This paper studies the serious game design of VR surgery from the point of view of serious game applied to medicine. Based on the theory of user experience and user psychological needs, we first analyzed the user experience and expectations of serious games. We then analyzed the user's actual needs and the game level function design, and optimize the key points of game design that should be emphasized. Secondly, the precautions of model constructed with UE4 combined with 3D MAX are analyzed. Finally, based on the above research, the serious game of lung bulla VR operation under thoracoscope is designed. The game design content was determined by analyzing the target user, which then was confirmed by a professional doctor. Firstly, based on the thin CT image of the human chest, 3D MAX technology is used to simulate the chest model, surgical tool and surgical scene. Second, UE4 game engine is used. The technology makes 3D model to meet the requirements of serious game simulation, then designs the imported UE4 scene, develops the game functions in the research area using C++ language, and then packages and releases the related resources.