Reviewerly/exHarmony huggingface dataset:
Beberapa Faktor yang Berhubungan dengan Penggunaan Sistem Informasi oleh Penyuluh KB terhadap Kelengkapan Laporan Kampung KB di Kota Semarang

Secondary data of Kampung KB report showed that the lack of use of Kampung KB information system was due to the lack of user’s motivation and self confidence, thus encouraging incomplete reports of Kampung KB. The purpose of this study is to analyze several factors related to the use of web based information system to Kampung KB report completion. This study was an explanatory research. Study population were family planning counselors and the sampling technique was total sampling. Research analysis were univariate and bivariate. Univariate analysis showed that the completeness of Kampung KB reports varies from 0% to 100% which is only 28,6% categorized as complete. Bivariate analysis showed that there are correlation between perceived ease of use, self confidence, dan motivation with the use of Kampung KB information system (p value 0,05). This study provides suggestions to improve user’s skill, self confidence, and motivation in using Kampung KB information system through training and supervising.
Data Stream Clustering Algorithm for Smart Site and Its Implementation Based on Flink

The informationization and visualization of construction site realized by smart site is an important means to solve the problem of safety in production. Because the number of construction site equipments connected by intelligent construction site is so large, that will bring massive data to access. Traditional D-Stream and NDD-Stream clustering algorithms have some shortcomings, such as large processing response time difference and insufficient real-time performance. To solve this problem, a real-time computing grid data stream clustering algorithm named PND-Stream is designed: Firstly, the online part of the algorithm receives the real-time data, and reduces the dimension of the data to complete the update of the overall grid structure's increment; Secondly, the offline part of the algorithm performs global clustering based on the updated result of the grid structure; Finally, the PND-Stream algorithm based on Flink framework is designed and implemented. Compared with D-Stream and NDD-Stream algorithms, the experimental results show that PND-Stream algorithm has better real-time and accuracy of cluster in dealing with massive data streams.
Analyzing the Factors Influencing Students’ Fluency in English Speaking Skills: A Case in Bina Nusantara University

The needs of the English language had been changed along with the increased demand of graduates in facing the Industry 4.0 which also implied that speaking skills became the key for the graduates to communicate with people from various backgrounds.This research aimed to investigate the factors influencing the speaking fluency of the students in English in Focus course to find out the proper teaching-learning method in speaking session.The case-study method was implemented to conclude this research.The participants of this study were 127 students majoring in Information System & Management Program, Accountancy Program, Japanese Department, and International Relation Department who registered in English in Focus Course in the odd semester, 2018/2019 academic year.The data were gathered through equestionnaire, depth analysis on students' speaking recording tasks, and document analysis.The result showed nine factors were affecting the speaking fluency in English.
HUMANITIES AS A TOOL FOR THE FORMATION OF EDUCATIONAL AND PROFESSIONAL INDEPENDENCE OF STUDENTS OF NON-HUMANITARIAN UNIVERSITIES

The article deals with the features and capabilities of the humanitarian disciplines as the tool for the formation of students» professional in­dependence. The socio-philosophical and psycho­logical-pedagogical aspects of professional indepen­dence of non-humanitarian universities» students are studied. The problem of the formation of educational and professional independence of students is present­ed at the theoretical and practical level. The research methodology is based on active and interactive ele­ments and forms, as well as the competence-activity approach. The authors refer to the study by S. I. Mo­rozova on the nature, structure, levels of university students» educational and professional independence (EPI) formation. EPI is an integral quality of a stu­dent»s personality, characterized by the ability to or­ganize educational and professional activities aimed at mastering future profession and general cultural competencies on their own. It is considered that qual­itative formation of the general cultural competencies among students of non-humanitarian universities, i.d. the ability to independently acquire knowledge, skills, the need for self-education are possible through hu­manitarian disciplines, organized self-educational activities of the students. Self-educational activities are activities oriented at student focusing on improv­ing their professional competencies and personali­ty as well. The main parameters of self-educational activities include independent search for materials, critical thinking, seeing the problem and solving it, and the self-development ability. Independent stu­dent’s work is considered to be a means of forming student’s interest in continuous self-education. In the article independent work is interpreted as one of the types of the learning process and one of the forms of its organization, aimed at the formation of educa­tional and professional independence of students and contributing to the formation of a creative self-think­ing person, ready for further professional activity and continuous self-education. The authors describe the experience of using interactive and active methods and forms of forming the educational and profession­al independence of students of non-humanitarian uni­versities on the example of historical and philosoph­ical disciplines.
Understanding Relevance Judgment in Users’ Information Retrieval Behaviour: A Study Based on Library Logs and the MURM

A new structure that uses latent variables from library logs to indirectly measure the factors in behavior of relevance judgment in Multidimensional User Relevance Model (MURM) is put forward in our research. Our study aims to design quantitative variables to describe the MURM factors for the academic search, especially better interpreting some cognitive concepts of MURM in academic search tasks. The improvement in ranking performance is used as a criterion in our experiment to evaluate the quality of our designed measurement. The results show that our designed variables are effective in measuring the dimensions of MURM, which can be well used in relevance judgment.
MOPSA: Multiple Output Prediction for Scalability and Accuracy

Cloud computing is entailed for elasticity, scalability, and accuracy for the multi-sharing systems; predicting resource for the multi-sharing system in an existing system is not accurate which leads to under or over-provisioning of resources and increases higher cost for on-demand resources. In this paper, we develop a prediction model called Multiple Output Prediction for Scalability and Accuracy (MOPSA). The key characteristic of this model is to improve accuracy of prediction of resources with multiple outputs in multi-sharing system by using gradient descent method. Experimental results exhibit that the proposed model improves the prediction accuracy of resources and provides scalability in multi-sharing system for minimizing cost by reducing number of on-demand resources.
Liberty: A Novel Encryption Algorithm Using Pseudo-Random Number Distribution

In this paper, we describe the basic model of the new encryption concept and algorithm, named Liberty. The creation of pseudo-random numbers and their distribution through coded messages is given, as well as the avalanche effect that they produce. Elimination of the secure channel for key exchange is also presented. Due to its structure and a different approach to encryption, some of the basics of various fields are given: pseudo-random numbers, modular arithmetic, modular exponentiation, etc. Also, basic software implementation is explained along with the preliminary results, based on the most simplified model, without any optimization.
Counting Children in Trees

Sometimes you’d like to do aggregation where a row is included in multiple rows of the output, for example, being counted multiple times or having the value added multiple times. An example of this is hierarchical data, where you want for every row to find the count of all the children in the tree – not just immediate children but also grandchildren and their children and so on, all the way down to the leaves of the tree.
Trajectory Generation of a Mobile Robot using Mixed Integer Programming with Velocity as a Constraint

This study proposes a new design method for the mobile robot trajectory generation considering obstacle avoidance using mixed integer linear programming (MILP). In the proposed method, the velocity of a mobile robot as well as the position of the mobile robot are used in the initial condition of MILP. Numerical examples show that the mobile robot collides with obstacles using a conventional method, in which the velocity is not taken into account, and on the other hand, the problem is resolved using the proposed method.
Localization and spatially anchoring objects of an augmented reality headset using an onboard fisheye lens

The development of improved Augmented Reality (AR) Head-Mounted Devices (HMDs) have led to increasing use cases for AR applications. In the case of surgery, an HMD can be used as an assistive tool to help surgeons operate. With a triplanar surgical navigation system as an industry standard, the use of an HMD can improve the surgeon’s comfort, and overall experience. An HMD can offer the surgeon a consistent flow of information in front of their eyes with medically relevant images, such as craniospinal computed tomography (CT) data that can be displayed as they operate. This paper aims to bring an HMD-based overlay framework that can be used in the operating room. With a combination of Android Studio, OpenCV, and OpenGL, an inside-out localization method with Aruco Markers is demonstrated. The framework estimates the head pose of the user and subsequently renders a patient specific CT scan that will be spatially anchored to the real world. The CT reconstruction can then be virtually superimposed onto the physical patient. The HMD’s (ODG R9) fisheye lens will also be used to enhance and enable a larger field of view for better object detection. This paper also introduces a “focus mode” that improves the localization accuracy. The framework will be evaluated in each of the 3-axes for translational and rotational movement error. It will be evaluated on the detection accuracy of different numbers of markers and at different distances. It will also be evaluated using an ultra-high definition (UHD) camera.
Stability Analysis of Fuzzy Sampled Data System

In this paper, the stabilization problem of chaotic system is investigated via fuzzy sampled control. To reduce the unnecessary sampled packet transmissions, the event-triggered communication architecture is applied. Based on the discrimination between the membership functions at sampled data transmission instant and at non-transmission instant is universal, in order to well compensate it, the fuzzy time-dependent Lyapunov functional is introduced. Moreover, the further stabilization result is given and the fuzzy sampled controller is also presented. Finally, a simulation result is presented to illustrated the effectiveness and practicability of our results.
Vehicle Detection and Tracking in Night Times Using Vision and Rear Features with an Intelligent Methodology

Human error is still the major cause of traffic incidents. In particular, the accident rate at night was higher than during day. The studies of tracking algorithm for driver assistance systems (DAS) are more important. Most of researches carried out in the daytime with a good lighting condition. In order to solve the traffic accidents at nighttime, a novel adaptive tracking algorithm must to be proposed. In order to ensure correctness of detecting, a new detection model is created to determine the position of target in road region. This study proposes a method that can help to overcome the temporary loss of the target position caused by using traditional detection model. The experiment results show the miss rate of vehicle detection and tracking is low.
A New Obstacle Avoidance Technique Based on the Directional Bat Algorithm for Path Planning and Navigation of Autonomous Overhead Traveling Cranes

Overhead traveling cranes (OTC) are widely use in industrial fields for lifting. Under specific conditions, the use of a human operator can be undesirable due to safety requirements and work efficiency. The development of autonomous OTCs becomes a necessity to ensure safety and efficiency. In this study, we present a new methodology for path planning with online path correction to avoid obstacle collisions. The mechanism of path correction is formulated as a nonlinear constrained optimization problem to be solved by the new directional bat algorithm (dBA). This new algorithm is characterized by its efficiency and its ability to obtain high quality solutions with low resources (iterations and the number of population). The simulation results showed the proposed method allows the OTC to bypass obstacles smoothly without risk of collisions.
Survey Paper on Student-Faculty Document Sharing System

Nowadays, electronic systems modify the speedy creation and distribution of documents. Therefore, individuals replace paper documents with electronic documents, in educational space electronic documents as data sources have exaggerated in variety and retrieving the data among brobdingnagian variety of documents become a haul. A recent study shows feedback from students towards establishing a document management system in some schools new innovative tools area unit necessary to access relevant data. Document management system in college will improve efﬁciency and effectiveness of analysis and can also improve information sharing among students and find new plan from alternative researches. This project is a web portal between students and college. This innovative system permits faculty college to share vital knowledge furthermore as notifications with students. It consists of a college login together with student login. Since faculty college operate through computer and document uploading is less complicated through a computer, the college login is to be performed through a laptop. College might transfer documents of subject course of study, timetable document, notifications, e notes etc. through their provided login. The documents area unit uploaded by college to totally different corresponding departments. We have a tendency to propose to create this method on a web server that enables college to transfer knowledge and students might read and transfer needed documents through their mechanical man device. Here students solely see and transfer knowledge of their specific semester. Rest knowledge is hidden. College might access and upload/edit documents to any semester or add any notice as desired. The complete service is delivered through net browse therefore in any location will access documents.
Penerapan model pembelajaran kooperatif tipe think talk write (TTW) untuk meningkatkan keterampilan menyelesaikan soal cerita matematika peserta didik kelas V sekolah dasar

&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; &lt;em&gt;This research having a problem formulation of how the application of the TTW type of cooperative learning model can improve the skill of solving math stories problem for &lt;/em&gt;&lt;em&gt;5&lt;sup&gt;th&lt;/sup&gt; grade students on elementary school in Surakarta in the 2019/2020 academic years. The purpose of this research was to improve the skills to solve mathematical story problems using the cooperative learning model of TTW type in the 5&lt;sup&gt;th &lt;/sup&gt;students students on elementary school in Surakarta. This research uses a class action research method with two cycles, four meetings. Data sources used were secondary and primary data. Data collection techniques used were observation, interview, documentation and tests. The validity test used were source triangulation and technique triangulation. The analysis technique uses the model of miles and Huberman. To find out the initial conditions of the skills to solve mathematical story problems, a pre-action test was conducted. The classical completeness of the pretreatment test was 0%. The &lt;/em&gt;percentage&lt;em&gt; increased in first cycle was 65%, then increased again in cycle II was 91%. Based on the results of the research, it can be concluded that the learning model of TTW type can improve the skills to solve mathematical story problems on &lt;/em&gt;&lt;em&gt;5&lt;sup&gt;th&lt;/sup&gt; students of elementary school in Surakarta in the 2019/2020 academic years. This research is expected to be able to add scientific insights and as input for further researchers&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;: mathematical story problem solving skills, cooperative learning models of think talk write (TTW) type, elementary school&lt;/em&gt;&lt;/p&gt;
Applying Improved Fish Swarm Algorithm to Constrain Information Extraction and Constructing Data Mining Application Model

Based on the artificial intelligence algorithm is used to solve the combinatorial optimization problem, the analysis of the relationship between the data set of learning convergence psychology and the teaching effect data, By introducing Tabu search and improving the behavior of artificial fish, the flag and marked restricted area are set up to avoid repeated search. By recording the fine forbidden area, and then using artificial fish swarm calculation to solve the teaching behavior and student behavior data analysis, the result feedback to guide the teaching process, to re-build the multi-dimensional teaching model, and to build a multi-dimensional model of training mechanical engineer and cooperating with the school and enterprise to educate people. In order to improve the quality of cultivation and reduce the cost of cultivation, it has a high quality. Practical value and theoretical research value.
NIAT PEMBELAJARAN ONLINE: SURVEY PADA DOKTER DALAM MENGGUNAKAN DIGIMED.ID

The study aims to examination effect of task technology fit, openness, social influence mediated by perceived usefulness, knowledge sharing and satisfaction to form the intention of using online learning site. Based on phenomenon occurs is still low Digimed.id site users for physicians online learning. The study using a survey method with distribute a quettionaires to collect data. Sampling technique use purposive sampling with 120 respondents. Hypothesis testing uses SEM with the AMOS program. The results of this study indicate that all hypotheses have significant effects except H7 and H9. These results indicate that the intention to use online learning through the Digimed.id website in the relationship of openness to share knowledge and social influence by sharing knowledge still lack in application.
Generating Short Product Descriptors Based on Very Little Training Data

We propose a pipeline model for summarising a short textual product description for inclusion in an online advertisement banner. While a standard approach is to truncate the advertiser’s original product description so that the text will fit the small banner, this simplistic approach often removes crucial information or attractive expressions from the original description. Our objective is to shorten the original description more intelligently, so that users’ click through rate (CTR) will improve. One major difficulty in this task, however, is the lack of large training data: machine learning methods that rely on thousands of pairs of the original and shortened texts would not be practical. Hence, our proposed method first employs a semisupervised sequence tagging method called TagLM to convert the original description into a sequence of entities, and then a BiLSTM entity ranker which determines which entities should be preserved: the main idea is to tackle the data sparsity problem by leveraging sequences of entities rather than sequences of words. In our offline experiments with Korean data from travel and fashion domains, our sequence tagger outperforms an LSTM-CRF baseline, and our entity ranker outperforms LambdaMART and RandomForest baselines. More importantly, in our online A/B testing where the proposed method was compared to the simple truncation approach, the CTR improved by 34.1% in the desktop PC environment.
Partial Blind Proxy Re-signature Scheme for Mobile Internet

Aiming at the problems of limited computing power and high security requirements of mobile Internet mobile terminal devices, we propose a server-assisted verification partial blind proxy re-signature scheme. Partial blind proxy re-signature algorithm protects both the trustee’s privacy message and the agent’s legal rights. In the server-assisted authentication protocol, the verifier transfers the complex bilinear pairing operation task to the server through the interaction, thereby reducing the amount of computation of the verifier. The numerical experiments show that the verification efficiency of the new scheme is improved by at least 71% and 74%, respectively, compared with the Yang’s and Feng’s schemes.
Witch Roundtable: Investigating PCG for Player Experience

This paper presents the PCG-based game: Witch Roundtable. Three steps of construct approach are applied in our algorithm. The issues of PGC of the puzzle game and non-puzzle game are different. Witch Roundtable is design by using unity game engine in our work. Three steps of the level generation are particular to create features like the props weight, gameplay design, and player-triggered. Witch Roundtable is a 3D video game with an original story to contribute to the domain of player experience research. The paper also presents the design goals and design context of the research environment, and provides a detailed overview of the procedural capabilities of Witch Roundtable.
Grouping Data Through Patterns

Grouping data with a group by clause requires you to find one or more values that are the same in those rows you want to belong to the same group. Often that is simply some columns or just as often a calculation on some columns. Sometimes, though, the condition that tells you a row belongs to a group is not simply a condition you can calculate using only values from that row itself, but the condition is on how the row relates to other rows. A condition to group by could, for example, be that all rows with consecutive sequential values should be grouped – when a gap in the sequence is found, a new group is started. This requires a calculation across rows, which often can be handled by analytic functions – but sometimes not. This can be solved by utilizing that pattern matching with one row per match does an implicit group by.
Framework of Hurdle Technology Teaching Mode Based on “Internet+” Platform

“Internet+” has become the current trend of curriculum construction and classroom teaching. Hurdle technology teaching is the main content of track and field courses for sports majors. The traditional teaching design and teaching methods can no longer meet the requirements of track and field hurdle technology teaching and innovative talents training. This paper proposes a framework of hurdle technology teaching based on the “Internet+” media platform, which aims to further improve the hurdle technology teaching method and system, make use of the teaching resources of “Internet+” multi-channel information platform, carry out the redesign and implementation of classroom teaching, and guide students to have targeted preparation, learning, practice and review, so as to improve teaching effectiveness. It is well adapted to the needs of classroom teaching.