Reviewerly/exHarmony huggingface dataset:
EFEKTIVITAS PEMANFAATAN SARANA LABORATORIUM KOMPUTER PADA PEMBELAJARAN SISWA DESAIN PEMODELAN DAN INFORMASI BANGUNAN DI SMK NEGERI RAJAPOLAH

Laboratorium komputer merupakan salah satu sarana pendidikan yang penting dalam kegiatan belajar mengajar untuk mencapai kompetensi yang diharapkan. Laboratorium komputer harus mempunyai kelengkapan sarana yang cukup, sesuai dengan standar sarana dan prasarana yang mengacu pada Lampiran Permendiknas Nomor 40 Tahun 2008 agar terciptanya proses pembelajaran dengan baik dan efektif. Maka dari itu penelitian ini bertujuan untuk (1) mengetahui kesesuaian kelengkapan sarana pada laboratorium komputer di SMKN Rajapolah pada kompetensi keahlian Desain Pemodelan dan Informasi Bangunan jika mengacu pada Permendiknas No. 40 Tahun 2008; dan (2) mengetahui efektivitas pemanfaatan sarana laboratorium komputer pada pembelajaran siswa. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif kuantitatif dengan teknik pengumpulan data melalui dokumentasi, observasi dan kuesioner. Sampel pada penelitian ini adalah siswa kelas XI Kompetensi Keahlian Desain Pemodelan dan Informasi Bangunan SMKN Rajapolah sejumlah 114 siswa. Hasil penelitian ini menunjukan bahwa kesesuaian sarana pada laboratorium komputer secara keseluruhan telah sesuai dengan Permendiknas No. 40 Tahun 2008. Dan hasil tingkat efektivitas pemanfaatan sarana laboratirum komputer kompetensi keahlian Desain Pemodelan dan Informasi Bangunan SMKN Rajapolah masuk dalam kategori efektif dengan persentasi sebesar 80.10%Computer laboratory is one of the important educational facilities in teaching and learning activities to achieve the expected competencies. Computer laboratories must have sufficient facilities, in accordance with the standards of facilities and infrastructure referring to the Attachment to Minister of Education Regulation Number 40 of 2008 in order to create a learning process that is good and effective. Therefore, this study aims to (1) determine the suitability of the facilities in computer laboratories in Rajapolah Vocational School in the competency of Modeling and Building Information Design expertise if referring to Minister of Education Regulation No. 40 of 2008; and (2) knowing the effectiveness of using computer laboratory facilities in student learning. The research method used in this study is descriptive quantitative with data collection techniques through documentation, observation and questionnaires. The sample in this study were students of class XI Expertise in Modeling and Building Information Design Competency in Rajapolah Vocational School with a total of 114 students. The results of this study indicate that the suitability of facilities in the computer laboratory as a whole is in accordance with Permendiknas No. 40 of 2008. And the results of the effectiveness of the use of computer laboratory facilities in competency in Building Modeling and Information Design expertise in Rajapop Vocational High School are in the high category with a percentage of 80.10%
Development of IoT Device for Human Motion Sensing

This report explains the development of IoT based standing aid handrail which is the device for human motion sensing. Although it is quite important to maintain healthful daily life of elder people, it is not easy for them to have frequent health examination. This study aims to check their health condition by adding IoT function to facilities used in their daily life. The IoT based standing aid handrail explained in this report has sensors to measure the load given with user’s standing motion and the acquired data is used to estimate muscle weakness of the user. The experiments validate the capability to sense the standing motion. The future expansion of system is also addressed.
Making Better Qubits out of Spectrally Noisy Solid State Quantum Emitters

We show that it is possible, by applying appropriately timed external control fields, to overcome deleterious effects of spectral fluctuations, induced by dynamic environments, in fundamental quantum information processing operations with solid state quantum emitters.
Pengaruh Model Contextual Teaching and Learning Oleh Guru Terhadap Hasil Belajar Pendidikan Agama Kristen Siswa Kelas IX SMP Negeri 1 Laguboti Kabupaten Toba Samosir Tahun Pembelajaran 2019/2020.

This study aims to determine the positive and significant influence of the CTL model by the teacher on the students’ learning outcomes of Christian Religion Education lesson of grade IX of SMP Negeri 1 Laguboti Academic Year 2019/2020. This research is a correlational study using descriptive and inferential statistical techniques. The population is all class grade IX Christian students totaling 174 people. The sampling was determined by using Random Sampling technique with 29% of the total population of 50 people. The instrument of this study was a closed questionnaire for variable X and a test for variable Y. This study concludes that there is a positive and significant effect of the CTL model on student’s Christian Religion Education Learning Outcomes of class IX of SMP Negeri 1 Laguboti 2019/2020 Academic Year, which is 29.59%. Keywords : Contextual Teaching and Learning Model by the Teacher, Students’ Learning Outcomes.
Action Policy Automatic Acquisition System for Autonomous Mobile Robot Navigation by Deep Reinforcement Learning

Autonomous mobile robot navigation system are fundamental and important in robot technology. In recent years, researches about autonomous navigation system based on reinforcement learning have increased. It is expected that autonomous navigation system based on deep reinforcement learning is achieved without grid map prepared in advance. However, in autonomous navigation based on deep reinforcement learning, the difficulties of action and reward design are mentioned. In this study, we aim at an automatic action policy acquisition system that designs them based on clustering of velocities and generative adversarial imitative learning from behaviors of expert robots. In this paper, we describe system abstract and develop system. Furthermore, we perform several experiments to examine the validity of the system.
Research Guides: How to use Web Printing: Home

Do you want to print from your own laptop, tablet, or smartphone to the library printer? Here's how!
Development of Programming Education Contents for Children's Experience Activities

In this paper, a programming education contents set was developed for elementary school students. It consists of two parts; one is a composition of programs, and the other is a control of a robot by using the composed program. “micro:bit” micro-computer and its extended kit were adopted as the education materials. The developed contents were used in two public lectures. Questionnaires were carried out for the participants, and the results showed the applicability of the developed contents.
Active Perception Policy Learning by Reinforcement Learning

We propose a learning algorithm for an autonomous robot to acquire the observation skill that is advantageous for achieving its task. We consider the robot has movement and observation agents separately; the observation agent learns a policy for providing the observation for the movement agent, which learns how to achieve tasks better. Each policy is trained separately, and the observation policy is updated by using the differential value function before and after the movement policy is learned by the observation given by itself. Experiments on 2D navigation tasks in simulation show that our algorithm is more successful than conventional methods for the situation in which agent’s view is narrow.
Algorithm of surface relief retrieval at arbitrary phase shift between interferograms

Improved algorithm for processing of interferograms obtained by a single arbitrary phase shift of the reference beam is proposed to reproduce the surface relief (SR). The advanced algorithm makes it possible to reproduce not only the relief of smooth or nanorough surfaces, but also its separate components, thus macrorelief (waviness) and nanorelief (roughness). Computer modulation of this algorithm was used to analyze the errors of complete SR and its components reproduction. The analysis allowed us to identify two factors that significantly affect the errors of the SR components determining by this algorithm. First, it turned out that the error of SR reproduction as the sum of macro- and nanoreliefs is much smaller than errors of these components reproduction, because the correlation coefficient between the errors fields of these components reproduction is close to 0,9. Therefore, it is better to extract the macrorelief phase map by filtering from the expanded (decyclized) SR phase map than from the collapsed (cyclic) one, which is possible by introducing the second iteration of SR recovery into the algorithm, which significantly reduces the errors. The second factor is related to boundary effects, which are observed during use of Fast Fourier transform (FFT) and spatial filtering to determine the macrorelief phase map and which increase its reproduction error. For this reason, it is proposed to eliminate the influence of boundary effects. The obtained dependences of the relief and its components reproduction errors from the test surfaces roughness for the advanced processing algorithm indicate a significant errors reduction comparing to the corresponding dependences for its previous version. These dependences are the theoretical limit for SR and its components reproduction errors in the case of using the advanced algorithm for interferograms processing.
Stiffness Measurement of Object Targeted for Robotic Hand

In food industry, autonomous food arrangement is expected. For the achievement of safety food arrangement by robots, in order to prevent from damaging food, rigidity of the hands is hopeful to be adjusted according to the food stiffness. Measurement of the food stiffness should be estimated before handling. In this research, we propose non-contact stiffness measurement with ultrasound to enable variable rigidity of hands while food handling is ongoing.
INNOVATIONS IN SCHOOLS: BETWEEN THEORY AND PRACTICE

Modern times create new challenges for education. The world around us undergoes very dynamic changes, which makes it difficult to predict what it will look like in a few years’ time. The main responsibility of educational institutions is to prepare the next generation of young people for life in an unknown future. Children are eager to go to modern schools that could teach them to rely on their own potential, believe in their own abilities, cope with difficult situations and solve complex problems. There is an overwhelming need for cooperation between science centers and cultural institutions.The present paper begins with the characteristics of basic assumptions underlying humanistic psychology and constructivism. This is followed by the advantages of problem-based, i.e., affective and project methods, after which the authors outline a variety of innovative initiatives that may support autonomous learning and creativity as well as emotional and social development of pupils. In this paper innovation is understood as a change contributing to a positive social effect associated with improving the functioning of an educational institution. Its implementation is intended to prepare young people for work on their own comprehensive development.
Report on coaching of a small team of beginners in robot making for the KOSEN ROBOCON

This paper reports about coaching policies and 6 years results of Yuge College B team in the KOSEN ROBOCON. The KOSEN ROBOCON is a tournament that students compete with the robots they made. Yuge College B team is composed of a small number of robot making beginners. The author has decided five coaching policies for a team of small number of robot making beginners based on activity of Yuge College B team in the 2015. Status of compliance with these coaching policies for the 6 years from the 2014 to the 2019 is described. In addition, this paper introduces this team’s robot making in the 2019 that achieved the best result in the past 6 years.
Detecting Animals in Moving Images by Using Optical Flow

Ota City in Gunma Prefecture is suffering from wild animal damage, so the city has installed an infrared camera with motion sensor as surveillance devices to investigate the ecology of wild animals. But a huge amounts of movies captured wild animals. There were some things that were not animals because the motion sensor also responded to the movement of plants and trees, and it was necessary to select only the video that showed the wild animals. It took a long time and was very burdensome. The system developed in this study aims to automate the task of selecting only the video that shows the wild animals. Here, we developed a system that automatically determines the presence or absence of wild animals in the recorded video．
Phase- and Transmission-Based Quantum-Enhanced Resonance Sensing at the Quantum Cramér Rao Bound

We present and compare the ultimate sensitivity bounds with twin beams for resonance schemes based on changes in amplitude and phase of the probing light. Additionally, we present measurement strategies that saturate the ultimate bounds.
Automatic side-following robotic wheelchair for enhancing the communication between a caregiver and a wheelchair rider

In this research, a concept of robotic wheelchair which automatically follows a human caregiver side by side is proposed. This concept is aiming to promote the communication between a wheelchair rider and his/her caregiver since they can talk face-to-face while advancing forward. This research focuses on a derivation of a motion control law to achieve the autonomous side-following by the robotic wheelchair, determination of parameter values of virtual spring and dampers connecting the robot and caregiver to establish the side-following which is suitable for comfortable communication, based on an impedance method. The determination of the parameter values has been done by considering the two physical conditions regarding the communication, loudness of the voice, elevation angle of one’s neck to see other’s face, and convergence of the relative position and orientation are considered. Finally, an experimental prototype robotic wheelchair having a LRF and a bird’s eye view camera, and four-active caster modules is fabricated to perform side-following motion control experiment in a room-environment. The obtained results demonstrated that the prototype wheelchair robot converged to a commanded relative position against a human subject, and proposed the feasibility and effectiveness of the proposed method.
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control

In this paper, we study how structural decomposition and multiagent interactions can be utilized by deep reinforcement learning in order to address high dimensional robotic control problems. In this regard, we propose the D3PG approach, which is a multiagent extension of DDPG by decomposing the global critic into a weighted sum of local critics. Each of these critics is modeled as an individual learning agent that governs the decision making of a particular joint of a robot. We then propose a method to learn the weights during learning in order to capture different levels of dependencies among the agents. The experimental evaluation demonstrates that D3PG can achieve competitive or significantly improved performance compared to some widely used deep reinforcement learning algorithms. Another advantage of D3PG is that it is able to provide explicit interpretations of the final learned policy as well as the underlying dependencies among the joints of a learning robot.
From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets

The thesis reconstructed and analysed transaction-level data of a particular darknet market. Moreover, the thesis reveals what kind of vendors are active on this darknet market, based on their characteristics. Finally, this research identified what the relative importance is of different vendor characteristics for vendor performance on darknet markets.
Interpolating Frames for Super-Resolution Smoke Simulation with GANs

Deep neural networks have enabled super-resolution of fluid data, which can successfully expand data from 2D to 3D. However, it is non-trivial to solve the incoherence between the super-resolution frames. In this paper, we introduce a new frame-interpolation method based on a conditional generative adversarial network for smoke simulation. Our model generates several intermediate frames between the original two consecutive frames to remove the incoherence. Specifically, we design a new generator that consists of residual blocks and a U-Net architecture. The generator with residual blocks is able to accurately recover high-resolution volumetric data from down-sampled one. We then input the two recovered frames and their corresponding velocity fields to the U-Net, warping and linearly fusing to generate several intermediate frames. Additionally, we propose a slow-fusion model to design our temporal discriminator. This model allows our adversarial network to progressively merge a series of consecutive frames step by step. The experiments demonstrate that our model could produce high-quality intermediate frames for smoke simulation, which efficiently remove the incoherence from the original fluid data.
A Case Study on Polytechnic Mukah Towards the Effectiveness of “HABA” Technique in Accrual Accounting Adjustment

The purpose of this research is to examine the effectiveness of the HABA technique in improving students' academic performance and strengthening the knowledge and skills of the students on performing the accrual accounting adjustment. This research is designed by adopting the quasi-experimental pre-test and post-test method. The questionnaire has been distributed to first-semester accounting students who took a basic accounting course. The descriptive statistic was used for the data analysis. Referring to the result, it shows that there is a significant improvement in students' achievement after applying the HABA technique based on the grading system. Most of the students also agreed that this technique can strengthen their knowledge and skills for the preparation of accrual accounting adjustment. Therefore, in conclusion, it is proven that the HABA technique is significant to boost students' performance and eventually mole students' knowledge and skills in the accrual accounting adjustment.nnnn
Motion Planning of Tidying up a Chair Based on the Interactive Relationship of Household Objects by a Home Robot

In order for a home robot to manipulate household objects such as furniture and home appliances, it is necessary to know the internal state of the target object and the interactive relationship with other related objects of its manipulation. We focus on the task of tidying up among multiple house tasks expected to be realized by home robots. In tidying up an office chair, it is necessary to flexible plan a motion generation considering the interactive relationship between office chairs and desks, such as storage areas and combinations. This paper addresses an autonomous motion planning of tidying up a chair considering the positional relationship between a robot, a desk and a chair.
PERBANDINGAN PENYERAPAN AIR PADA RESIN KOMPOSIT NANOHYBRID SCULPTABLE DAN FLOWABLE SETELAH PERENDAMAN DALAM MINUMAN BERKARBONASI

Composite resin is a dental restorative material could be classified according to the manipulation (sculptable and flowable) and filler size ( microfiller, macrofiller, hybrid, and nanohybrid). Composite resin producers develop flowable composite resin that could be used in all cavities, namely G-Aenial Universal Flowable. Composite resin had the disadvantage of water absorption could affect were matrix resin composition, filler particle size, and polymerization reaction. Indonesian society loved carbonated drinks, one of them was coca cola which had a low pH and acidic. The aim of thiese study was to determine the ratio of water absorption in nanohybrid sculptable and flowable composite resin after soaking in carbonated drinks. These study used a type of experimental laboratory research with pre-post test design, carried out by dividing into 2 sample groups namely G-Aenial sculptable (I) and G-Aenial Universal flowable (II). The data of these study was carried out the Independent T test. The mean water absorption I = 11.94 µg/  and II = 12.78 µg/  was obtained. Independent T test results obtained with p = 0.814, which means there was no significant difference. These study had the conclusion that after immersion in large carbonated drink the absorption of water in G-Aenial sculptable and G-Aenial Universal flowable was relatively similar. The amount of G-Aenial sculptable water absorption was smaller than the flowable G-Aenial Universal.
The Use of Dictocomp Technique to Improve Text Structure in Writing of Recounts among Year 4 Intermediate Proficiency Pupils

This study was sought to investigate the effectiveness of Dictocomp technique to improve text structure in writing of recounts among Year 4 pupils.The study was aimed to answer two research questions: 1) can Dictocomp technique improve text structure in pupils' writing of recounts?2) Does the improvement in text structure in the pupils' writing lead to a better logical connection of ideas in their writing?Six pupils demonstrating weakness in text structure in the writing of recounts were selected as research participants.Four lessons were planned on the intervention in this research.They respectively comprised of four meticulously planned stages in the Dictocomp technique; preparation, dictation, reconstruction as well as analysis and correction.This study employed both the quantitative; tests, and qualitative; interviews and journal entries, data collection methods.The data for the tests was analyzed by its mean score and by comparison of individual participant's results in Test 1 and Test 2. The data for the interviews was analyzed using the Constant Comparative Method.Finally, the journal entries were reviewed for key points to triangulate the data obtained from the tests and the interviews.The results of this study demonstrated that the use of the Dictocomp technique led to a significant improvement in the text structure construct in the participants' writing of recounts.The findings further highlighted that the improvement in the text structure construct has also led to a parallel improvement in the logical connection of ideas construct in the participants' writing of recounts.
Development of high-speed gripper with closing and releasing capability

This paper proposes a high speed gripper capable of both closing and releasing. The gripper is composed of two fingers freely moved by springs, air cylinder connecting with wire for actuating the gripper. Through experiments, we confirmed its basic performance.
Development of multi-axis 3D printer for exoskeleton type soft actuator

The exoskeleton type soft actuator using the 3D printer and the existing flexible tube can change the operation characteristics depending on the skeleton shape, and the airtightness is also guaranteed. Therefore, it is useful as a soft actuator. The exoskeleton type soft actuator can solve the delamination problem by arranging the operation direction and the stacking direction of the FDM type 3D printer perpendicularly. However, in the conventional FDM type 3D printer, there is a limitation on a shape that can be manufactured due to lamination in only one direction. In this paper, we have developed a slicer and a printer that enable stacking in a fan shape. By stacking in a fan shape, it is possible to manufacture an actuator useful for a joint on a cylinder.