Reviewerly/exHarmony huggingface dataset:
Learning Sequential Human-Robot Interaction Tasks from Demonstrations: The Role of Temporal Reasoning

There are many human-robot interaction (HRI) tasks that are highly structured and follow a certain temporal sequence. Learning such tasks from demonstrations requires understanding the underlying rules governing the interactions. This involves identifying and generalizing the key spatial and temporal features of the task and capturing the high-level relationships among them. Despite its crucial role in sequential task learning, temporal reasoning is often ignored in existing learning from demonstration (LFD) research. This paper proposes a holistic LFD framework that learns the underlying temporal structure of sequential HRI tasks. The proposed Temporal-Reasoning-based LFD (TR-LFD) framework relies on an automated spatial reasoning layer to identify and generalize relevant spatial features, and a temporal reasoning layer to analyze and learn the high-level temporal structure of a HRI task. We evaluate the performance of this framework by learning a well-explored task in HRI research: robot-mediated autism intervention. The source code for this implementation is available at https://github.com/AssistiveRoboticsUNH/TR-LFD.
Keynote: Detecting and visualizing the operation of cyber troops and computational propaganda that shape public opinion during the KPK law revision process

KPK (Indonesia's Corruption Eradication Commission) has faced a difficult time, where the government and legislative have agreed on the KPK Law revision. Before the law as approved by the legislative, we have detected a series of social media operation to shape the conversation and public opinion that support the revision.In this presentation I will show how cyber troop is operated to shape the conversation. Furthermore using Drone Emprit, our big data analytics tool for online media and social media, I will visualize how computational propaganda was engaged.
PENGARUH KEBIASAAN SISWA MENJAWAB SOAL URAIAN TERHADAP HASIL UN 2018

The main purpose of this study is to answer the following question Is there any influences of students' habits in answering the essay questions toward the results of the 2018 SMP National Exam (UN)? The population of this study was SMP students who participated in the 2018 UN. The data in this study is provide in the form of test scores and student answers on questionnaires taken from 34 provinces throughout Indonesia. The questionnaire was filled in voluntarily on the last day of the UN, so the number of respondents who filled out the questionnaire was 3.224.331 students from 37.859 junior high schools. These respondents is a sample in this study. Based on the results of the T-test analysis, the following results were obtained. The effect of students' habits in answering the essay questions on 2018 UN results is proven. This means that there is a significant difference (P &lt;0,000) between students who are used to and are not used to answer essay questions on the results of the 2018 National Examination. The conclusion is that there is a significant difference between the students who are used to and not used to answer essay questions toward the results of the National Examination 2018 for subjects: Indonesian, English, Mathematics, and Natural Sciences, (Sig. 0,000).
Jaringan Saraf Tiruan Dengan Menggunakan Metode Perceptron Mendiagnosa Helminthasis Pada Hewan Kelinci

Rabbits are mammals from the family Leporidae, which can be found in many parts of the earth. In the past, this animal is a wild animal that lived in Africa to European land. In its development, in 1912, rabbits were classified in the order Lagomorpha. This order is divided into two families, namely Ochtonidea which is good at whistling and Leporidea, including rabbits and hare. The origin of the word rabbit comes from the Dutch language, which is Konijntje which means rabbit cub. This shows that the Nusantara community began to recognize rabbits during the colonia period, whereas on the island of Sumatra there was one species of native Sumatran rabbit Nesolagus Netsheri that was only discovered in the year. In this study artificial neural networks using the perceptron method separately to recognize objects about helminthiasis in rabbits. Helminthiasis lives in the intestinal tract, where digestive enzymes can dissolve eggshells and release worms. Worms begin to multiply by producing more eggs and eventually hatch. Worms have a multicellular structure with organ systems. In this research, perceptron is perceptron trained by using a set of patterns that are given to him repeatedly during training. Each pattern given is a pair of input patterns and the desired pattern as a target. Perceptron do the sum of each input and use the threshold function to calculate the exit. This output is then compared to the desired results, the difference generated from this comparison is used to change the weights in the network. This is done repeatedly until the output is in accordance with the desired results.
Neural Networks for the Web Services Classification

Abstract This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a classification based on its functionality. The approach relies on word n-grams extracted from the web service description to determine its membership in a category. The experimentation carried out shows promising results, achieving a classification with a measure F=0.995 using unigrams (2-grams) of words (characteristics composed of a lexical unit) and a TF-IDF weight.
Web Utilization and Telegram Gateway Features for Management of Booking Make Up Services at Ulfisinta Make Up

Abstract Advances in information technology that is increasingly developing now has been used as a very important means to produce the information needed. WWW technology or the web as one type of service that is connected with the internet. One of the uses that require the application of web-based information technology is service in make up services. In Ulfisinta Make Up in its management, the recording of consumer data is still done manually or handwritten notes, causing misunderstanding between admins because the notes are sometimes unclear. Lack of management of consumer data if there is a booking in a period of time that is still long. The amount of proof of payment or transfer that must be stored so that it takes a long time if the data is needed again. This study aims to build an Application Management Information System for Make Up Services on Ulfisinta Make Up Web-Based with Telegram Gateway Feature which is expected to be used in the future for booking management and also a means of information to consumers to get information faster.
Basic research for the preparation of the code of teaching ethics of special education teachers: Focusing on the Perception of Teaching Ethics

본 연구는 교직 윤리에 대한 유아특수교사들의 인식을 탐색하고, 이후 유아특수교사의 윤리강령 마련을 위한 기초자료를 제공하고자 다양한 지역과 경력의 유아특수교사들 12명을 대상으로 포커스 그룹 면담을 실시하였다. 그 결과 4개의 주제와 24개의 하위범주를 도출하였으며 그 결과는 다음과 같다. 첫째, 유아특수교사들은 특수교육대상유아의 잠재력을 기대하며 개별적인 요구에 적합한 교육을 제공하기 위해 노력하였다. 특히 이들이 가진 장점을 강화하는 대안적 방법을 가르쳐 독립적인 사회 구성원이 되길 희망하였다. 둘째, 유아특수교사들은 특수교육대상유아의 가족을 지원해야 하고, 가족 들은 양육 방법과 자녀의 긍정적인 변화를 이해해야 한다고 인식하였다. 셋째, 유아특수교사들은 유아특수교육 현장에 대한 정책이나 연구가 미비하며, 직전 교육에서 올바른 교육관과 장애인관을 가질 수 있는 교육이 필요하다고 하였다. 넷째, 유아특수교사들은 특수교육대상유아를 가르치는 자로서 소명을 가지고 있으며, 발달 초기를 담당하는 사람으로서 특수교육대상유아에게 다양한 경험을 제공하고, 일반유아들이 올바른 장애인관을 가질 수 있도록 끊임없이 반성과 자기계발을 지속해야 한다고 하였다. 본 연구는 유아특수교사의 교직 윤리에 대한 선행연구가 전무한 상황에 유아특수교사들의 교직 윤리에 대한 인식을 알아보고 유아특수교사를 위한 교사 강령을 제안하였다는 점에서 연구의 의의가 있다.This study explores the perception of early childhood special educations teachers on teaching ethics. The purpose of this study is to provide basic data for establishing a code of ethics for early childhood special education teachers. Focus group interviews were conducted with early childhood special education teachers in various areas. As a result, four topics and 20 sub-concepts were derived. First, early childhood special education teachers have sought to provide appropriate education to individual needs in anticipation of the potential of infants and toddlers with special needs. Second, early childhood special education teachers recognized that they should support the families of young children with special needs and to understand the ways of raising the children and their positive changes. Third, the early childhood special education teachers believed that there were not enough policy or research on the special education field for young children with special needs, and it is necessary to educate them to have the right educator and the persons with disabilities in the previous education. Fourth, early childhood special education teachers had a “devotion” as a teacher and also as seeders, they should provide diverse experiences for infants and toddlers with special needs, They also said that regular young children should constantly reflect on and maintain their right attitude toward peers with disabilities. The purpose of this study was to investigate the perception of the early childhood special education teachers on “teaching ethics”. This study is meaningful in that it proposes the additional information for the early childhood special education teachers in the situation where there is not enough research on “teaching ethics”.
Justification of reclamation parameters for lands disturbed during the development of gold placers

Abstract The article deals with the issue of reclamation of lands disturbed during the development of gold placers. Using the results of surveys and studies of the rocks composing the surface layer, the authors compare the present state of disturbed lands and the technogenic relief designed by technical documents on the development of alluvial placers. The discrepancy between actual and design data is analyzed. The conditions of natural vegetation restoration are studied. Results of observations of the natural vegetation restoration within loose deposits are presented. Recommendations on flattening angles depending on the length of slopes and elevation differences between the bottom and crest of technogenic embankments are given. The design results for reclamation of disturbed lands based on preliminary surveys and mining project data are compared. Methods for reducing the amount of reclamation works are substantiated.
Utilizing cloud speed data to predict the time of occurrence of irradiance drops

Author(s): Roy, Venkat Suman | Advisor(s): Kleissl, Jan | Abstract: The ability to predict short-term fluctuations in irradiance is a necessary component of ensuring the reliability of a solar PV system at a given location. Local cloud phenomena that are responsible for these changes are dynamic and difficult to model; on-site measurements of irradiance provide an easy way to capture these effects. In this study, cloud movement is tracked in time through its effect on irradiance signals at different locations and compared with the estimates of the travel time from cloud speed data. The results showed a good correlation between the two different time lags for a short separation distance of 228m, but there was almost no relation for higher distances. Using different similarity measures like Correlation, Euclidean distance or the location of Local Minima for the signal analysis didn’t affect the results widely for a separation distance.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI AKUNTANSI PENERIMAAN KAS PADA PT. PURI INDAH PERMAI

Accounting is information systems that produce the report to the parties and other interested partiesabout the economic activities of the companies condition .Cash is revenue cash received by companies inthe form of cash and securities that have properties can be immediate use, derived from the companycash transactions both innovation and sales, the repayment of receivable or transactions that can addother company cash .PT.PuriIndah Permaiwho is the company cash revenue to be done manually bynoting high on the agenda must be made on the books of the report to the superior of a month and a year.The report made over and over again by admin who are considered less effective future but in stages,this is necessary so that in the information the reception of a system of cash that may make it easier inand not complicate the officers of the operationalization. In this system designed prototype system toanswer which is sought by the company, with revenue accounting information system cash was conductedconsumer data, booking fee data, Down Payment, money credit agreement and excess land which all thatincluded in the reception of company .This research result indicates the data process can be used tomodel the solution of the problems experienced by PT.Puri Indah Permai
ANALISIS DAN PERANCANGAN SISTEM INFORMASI MANAJEMEN ASET PADA DINAS PEMBERDAYAAN MASYARAKAT, PEREMPUAN DAN PERLINDUNGAN ANAK KOTA JAMBI

Dinas Pemberdayaan Masyarakat, Perempuan dan Perlindungan Anak Kota Jambi has the main task ofhelping to coordinate the regional secretary in organizing the formulation, stipulation, coordination, andcontrol of the implementation of tasks as well as government programs and activities. Asset managementin Jambi City DPMPPA is done manually and uses Microsoft Office Excel so that the performance of theasset management system is still not optimal. One way for management to be more optimal is to useinformation systems. This asset management research is carried out at the stage of asset planning, assetacquisition, asset acceptance, and asset placement. This study produced a prototype system that describesthe functional planning, procurement, receipt and placement of assets in the Jambi City DPMPPA. Themethod used is an object-oriented approach using UML (Unified Modeling Language), namely use casediagrams, class diagrams, and activity diagrams. This research produced a prototype that could beimplemented further so as to produce an asset management information system that could beimplemented in the Jambi City DPMPPA.
Upaya Meningkatkan Hasil Belajar Siswa Melalui Model Pembelajaran Discovery Learning Pada Pelajaran IPA Kelas IX MTsN 1 Bengkalis Tahun Pelajaran 2018/2019

The study aims to determine the efforts to improve science learning outcomes using the Discovery Learning model in class IX students of 1 MTsN Bengkalis in the 2018/2019. This IS action research with four stages, namely: planning, implementation, observation and reflection. The learning model used is Discovery Learning. In data collection techniques used observation, field notes, tests and documentation. The results of the application of the Discovery Learning model in class IX MTsN 1 Bengkalis can be concluded that the average value of the experiment class is increase on student learning outcomes. The improvement can be seen from the average of the class has increased namely from the results of the pre-cycle of 63.8% in the first cycle the grade average value rose to 72.2% 26 students who completed and students who did not complete 10 students 27, 7%. After repairs on the second cycle rose to 86.1%, students who complete 31 students and students who do not complete as many as 5 students 13.8%. Based on the description, it can be concluded that there is an increase in science learning achievement starting in the pre-cycle stage, cycle I and cycle II, thus the use of the Discovery Learning model can improve the science learning outcomes of class X MTsN 1 Bengkalis.
Session details: Theme: System software and security: PL - Programming languages track

The Programming Languages (PL) Track provides researchers and practitioners with a forum to present their ideas and experience in designing new programming concepts and implementing programming languages. It includes the topics of Compiling Techniques, Domain-Specific Languages, Formal Semantics and Syntax, Garbage Collection, Language Design and Implementation, Languages for Modeling, Model-Driven Development and Model Transformation, New Programming Language Ideas and Concepts, New Programming Paradigms, Practical Experiences with Programming Languages, Program Analysis and Verification, Program Generation and Transformation, Programming Languages from All Paradigms (Agent-Oriented, Aspect-Oriented, Functional, Logic, Object-Oriented, etc.), and Visual Programming Languages.
Editorial Assembled 2019

The Journal of Virtual World Research Assembled 2019 issue, presents six striking studies that spread over a plethora of subjects, all aimed to expand the Virtual World knowledge bank for the benefit of practitioners and academics alike. These studies broaden the understanding of a Virtual World user’s experience associated with presence and immersion, governance within the worlds, learning success mechanisms, as well as users’ interactions and relationships. Each of these topics provides traction in obtaining the highest advances in the application of Virtual Worlds within society.
Design of a SHA-2 Hash Based Image Encryption Scheme using 1D chaotic systems and DNA sequences

This paper proposes design of a color image encryption technique performed on DNA sequences, the main objective of this design is to make it plaintext sensitive. 1D chaotic systems are iterated with SHA-256 hash function value of plain image as a part of initial conditions for chaotic maps. The values of SHA-256 function are calculated for all RGB components of plain image separately. These hash values are effective for dynamically updating secret keys. With minimum loss of hash value information the keys become sensitive towards any changes in plain image. The real numbers are transformed to integers and key matrices derived from random integer sequences are converted to DNA sequences. Using hash value of plain image as plain image parameter enhances the security against various plaintext attacks such as chosen plaintext attack and known plaintext attack. The image encryption algorithm has larger key space and on changing any parameter of secret key, the chaotic sequences change. The encryption scheme employs two different diffusion mechanism and permutation sequence changes as block size in secret key is changed. The encryption scheme is also sensitive towards all secret key parameters. Experimental results performed further justify the sensitiveness towards changes in plaintext and all parameters of secret key.
Augmented Reality–Assisted Dementia Care

With the increasing aging population, the number of people suffering from dementia continues to grow at a high rate. Emerging technologies have been applied to support the independence of patients with dementia. Among these technologies, augmented reality (AR) technology augments computer-generated virtual content on the real-world environment. There is an increasing interest in the use of AR tools and applications for dementia care as these tools and applications are capable of providing intuitive interaction and reducing the workload of caregivers. This chapter presents a state-of-the-art overview of AR-assisted applications for dementia care. An AR-assisted healthcare exercising system that enhances the user’s motor skills and cognition capability is presented to illustrate the use of AR in dementia care. Furthermore, an outlook of the future of AR-assisted dementia care applications is presented.
Analisis Prediksi Bencana Angin Puyuh di Jawa Barat Menggunakan Algoritma K-NN dan C4.5 Berbasis PSO

One of impact from climate change which is not realized in the country of Indonesia is increase of the whirlwind disaster each years. Whereas based on data taken from the BNPB Indonesia, incidence of whirlwind disaster significantly during the last 10 years. From 2007 that only 127 incidents for year. But in the 2017 reached 645 incidents. And Losses caused by the whirlwind disaster is not small, not only material losses but also recorded hundreds of people injured and dozens of people died. Therefore we tried to classify the weather conditions during the whirlwind during 2017 using Knn and C4.5 algorithms based PSO with case studies in west java. With the approach of weather attribute data taken from BMKG and attribute of the whirlwind incident form BNPB Indonesia, this research is able to produce the best result of accuracy 83%, precision 85%, recall 95,15 % and AUC 0.591 using K-nn algorithm based pso
Research on Lean Analysis Algorithm for Equipment Centralized Monitoring in Big Data Era

Abstract The equipment monitoring brought by the smart grid big data is difficult to effectively supervise the operation status of the whole network substation, and the typical defects (familial defects) are difficult to classify and locate. This paper proposes the substation operation state evaluation algorithm and typical defect classification algorithm. The operating state evaluation algorithm of the substation is based on different operation data generated by the substation. By normalizing the data of different dimensions, the substation is divided into different operating state levels. The typical defect classification algorithm establishes and maintains the historical experience database, and calculates the conditional probability of each information item to realize the correlation between the signal and the defect, and finally judge whether the signal is from a typical defect. These two algorithms are effective means for equipment monitoring professionals to realize intelligent supervision of substations and equipment in the era of big data.
Simulation of Web Service Selection from a Web Service Repository

This paper studies the dynamic Web service selection methods and simulates it with the same dataset to show the performance of each method. Quality of service (QoS) in Web services composition has various non-functional issues such as performance, dependability, and others. As more and more Web services become available, QoS capability is becoming a crucial factor in selecting the services. We observe the performance of each method and also the recommended hybrid methods by the selected authors. As a result of observation, we have proposed a new hybrid method which can produce better performance (better processing time) in Web service selection. The new approach is proposed based on particle swarm optimization.
Adopting Feature-Weighted and Scale Adaptive for Real-Time Visual Tracking

Considering poor accuracy and robustness of single-feature object tracking, researchers have proposed numerous multiple-feature integration for tracking, including deep features and traditional hand-crafted features. In this paper, we propose a feature-weighted method of Histogram of Oriented Gradient (HOG) and color names (CN) based on correlation filters. Both features are adopted independently to obtain detection response maps, which are subsequently normalized. Finally, Euclidean distance between normalized map and desired output, which is activated by a negative exponential function, is regarded as the weight of the corresponding response map. Although using feature-weighted correlation filters for tracking has achieved great improvement in accuracy and robustness, many conventional trackers have not solved the problem of scale variation and the current mainstream scale estimation methods have existed the deficiencies of computational redundancy and fixed scale-factor. In view of this problem, firstly adopting three scale-factor to roughly judge the direction of target scale variation, and then the optimal scale-factor is acquired cyclically in this direction. The methods we proposed based on ECO-HC are tested in OTB2013, OTB100 and TC128 datasets and the results demonstrate the effectiveness of our proposed methods.