Reviewerly/exHarmony huggingface dataset:
Avoiding the Obstacles in the Robot Working Zone by Using the Lee Algorithm

Non-collision trajectories of an industrial robot are the key objective when planning its handling cycles.When the robot should move optimally, precisely and safely in each situation, it is necessary that every obstacle placed in its transition trajectory should be programmed and avoided.The optimal trajectory corresponds to choosing, if possible, the shortest and most appropriate way for the specific movement to be finished.The task of avoiding obstacles by the industrial robot in its working zone can be solved by various methods and algorithms.The paper shows the use of the kinematics SCARA as a way of avoiding obstacles by a robot in the working zone using the Lee algorithm.The configuration fields and networks are being modelled for the avoidance of obstacles together with their evaluation and the search for the shortest trajectory reflected in the robot programming.
Perancangan Perangkat Lunak Kompresi Citra Menggunakan Transformasi Wavelet dan PCA

&lt;p&gt;Now days, The most needed of digital images is influenced by the people will that want to take a part of moment life into digital image. The good digital image has the big filesize, so it will need more space memory to saving more images. There is technique in image processing to decrease file size that is compression. By combine wavelet transformation method and Principal Component Analysis in developing application can produce the good compression technique.&lt;/p&gt;
Building a Serverless Progressive Web Application

Progressive web apps have the ability to incorporate the accessibility of the web with the features of the native apps.They provide cross-browser support and compatibility with mobile friendly frameworks.Serverless computing platform provide function as a service to end users while promising reduced high costs, high availability, fault tolerance, and dynamic elasticity for hosting micro services.It provides a platform for developers to execute the code in response to events without building and maintaining infrastructure.The third party apps or services would manage the server-side logic and state.
Research on terahertz image compound denoising based on non-local means

A composite denoising method based on non-local means filter, Lucy-Richard algorithm and adaptive histogram equalization is proposed for terahertz reflection scanning images. Firstly, adaptive histogram equalization is used to adjust the brightness of the image based on Lucy-Richard restoration to improve the image definition, and finally the quality of the reconstructed image is further improved by using the non-local means algorithm based on bisquare weighting function. The experimental results of terahertz image denoising show that the proposed method can preserve the details of the image, effectively remove the background noise caused by the laser output fluctuation in the imaging system, and restore the blurred image, which has a good denoising effect on terahertz image.
IMPLEMENTATION OF PPTP AND BCP WITH INTER- VLAN ON THE TOPOLOGY THAT USES 2 ISP AS INTER-DIVISION CONNECTORS (Case Study: PT Kenari Djaja Prima)

&lt;p&gt;&lt;em&gt;PT Kenari Djaja Prima will create a tunnel between branch offices located far from the central office so that these two offices can retrieve data on the server. As well as forming a local network between branch offices and centers. From the problem, the authors conducted a study and proposed using VLANs to divide divisions, and the tunnel method in the form of PPTP as encryption tunnel to connect with branch offices and BCP methods to forward ethernet packets so that the IP segmentation of headquarters with branches could be connected. From the results of this study, the average maximum Mbps obtained from downloads is 25.87 Mb, the average is at least 1.19 Mb, the average speed is 15.24 Mb, the average time is one minute and thirty seven seconds, and the average delay is 200.28 MS. The conclusion obtained in this study is that division of divisions with VLANs can be overcome, and between divisions have their own VLAN IDs, and can communicate with each other using Inter-VLAN. And use tunnels to connect branch offices with headquarters using PPTP. PPTP as tunnel encryption, EoIP as an ethernet connector and as a VLAN distribution between headquarters and branches. So that the data will be safe until the destination.&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;: PPTP, QoS, VLAN, Inter-VLAN&lt;/em&gt;&lt;/p&gt;
A Comparative Study on Machine Learning Approaches to Thunderstorm Gale Identification

In this paper, we make a comparative study to examine the performance of different machine learning approaches for the thunderstorm gale identification. To this end, a thunderstorm gale benchmark dataset is constructed, which comprises radar images in Guangdong from 2015 to 2017. The corresponding wind velocities recorded by the automatic meteorological observation stations are utilized to offer the ground-truth. Based on the dataset, we evaluate the performance of Decision Tree Regressor (DT), Linear Regression (LR), Ridge regression, Lasso regression, Random Forest Regressor (RFR), K-nearest Neighbor Regressor (KNNR), Bayesian Ridge Regressor (BR), Adaboost Regressor (AR), Support Vector Regressor (SVR), Gradient Boosting Regressor (GBR), and Convolutional Neural Network (CNN). Ten important features are extracted to apply these approaches, except CNN, which include radar echo intensity, radar reflectivity factor, radar combined reflectivity, vertical integrated liquid, echo tops and their changes with respect to (w.r.t.) time. Experimental results demonstrate the machine learning approaches can effectively identify the thunderstorm gale, and the CNN model performs the best. Finally, a thunderstorm system is developed based on CNN model, which help meteorologists to identify thunderstorm gales in terms of radar images.
Pengembangan Bahan Ajar English Phonology dan Strategi Pembelajarannya

The aim of the study was to develop English teaching material and the strategy. This study used library method. The data were obtained from phonology book, archives and other literature resources. The finding showed two developed points. Teaching material was arranged to cover the whole material which was taught and made according to KKNI. The discussion dealt with English pronunciation problems by native Indonesian was included in the material as the result of problem solving. The teaching strategy in this course was blended learning method. The method concerned on the process of learning activities and assignment. The method was selected in order that the students were able to use the technology and sharpen their digital literacy. In conclusion, the teaching material was developed based on KKNI and the strategy used was blendes learning.&#x0D; Keywords: Teaching Material, Strategy, English Phonology
A Fast Image Encryption Algorithm Based on Self-confusion Method

A novel image encryption algorithm based on self-confusion was proposed in this paper. The image encryption process is composed of covering operation, self-confusion and diffusion. The chaotic system was employed to generate one pseudo-random matrix and two pseudo-random sequences for image encryption. The matrix is used to cover the image, and the sequences are used to diffuse the image. The image is shuffled in the self-confusion by its own data, making the proposed image encryption algorithm be plaintext-related. The simulation results show that the proposed scheme has the merits of fast speed and good security, and can be a candidate for image information security.
Calculating the Distance Between Near-Synonyms Across Languages: A Case Study on Chinese and Japanese

The study of differences between near-synonyms across languages has always been a hot area of research in foreign language teaching and cross-language comparison.A linguistic phenomenon received special attention, Chinese-Japanese homographs often confuse learners since they have same forms yet differ slightly in terms of their meanings and usages.Traditional studies were unfolded mainly in two aspects: case studies on homograph discrimination and division of homographs according to meaning & usage distance.Researches concerning the latter aspect tend to distinguish near-synonyms between languages by means of a three-way classification, i.e. synonyms, heteronyms, and near-synonyms.However, this classification is far from satisfactory in that they cannot measure "near-synonymy" in an accurate and gradable manner since the term "near-synonymy" per se is too broad a term to define.This paper proposes a statistical method for calculating near-synonyms across languages by means of parallel corpus, where translation ratio, F-measure and inter-translation ratio are taken into account as parameters.By means of the F-value, this highly productive method is not only applicable in classifying synonyms, heteronyms, and near-synonyms between Chinese and Japanese, but also allows measuring the meanings & usage distance between cross-linguistic near-synonyms.To prove the effectiveness of this method, around 1900 pairs of Chinese and Japanese near-synonyms are compared and has gained good effects.
Mediating Role of Organizational Commitment: A Study of NADRA, Multan Region

The purpose of this study is to investigate how employee compensation and job satisfaction influence employee performance. And more importantly, this study examines the mediating effect of the organizational commitment between employee compensation, job satisfaction and employee performance. Based on the prior studies conducted on employee compensation, job satisfaction, employee performance and organizational commitment, an integrated conceptual framework on employee compensation, job satisfaction, employee performance and organizational commitment was developed. The convenience sampling technique was employed in this study, and a sample drawn was consisted of 375 NADRA employees serving in Multan region. The sample was focused on the employees working in the NADRA Multan region. For more robust testing of the theory organizational commitment was included as mediating variable. For testing of mediation effect Process by Andrew F. Hayes was used with the assistance of SPSS version 23. Research findings revealed that the impacts of employee compensation and job satisfaction on employee performance are positive and significant. And organizational commitment as a mediating variable mediates the relationships between employee compensation, job satisfaction and employee performance. The mindsets of the today employees are changing, and they are more conscious about their relationships with the organizations, they love to share their good and bad experiences with the organizations. Today, it is very important for organizations to know the feelings of the employees about their organizations. This study suggests the organizations by tuning employee compensation, job satisfaction variables they may impact on the performance of the employees. And by introducing organizational commitment they may also change the relationships between employees and organization. Variables part of this study were not old constructs, but it is new for the graphical location where I conducted this study because there was no similar study available here. This study is only focused on NADRA Multan region, other geographical locations or industries may be used to more clearly understand the brand evangelism construct. Also, comparative studies can be performed for different organizational ladders and geographical locations.
Fringe analysis based on convolutional neural networks (Conference Presentation)

Over the past few decades, tremendous efforts have been devoted to developing various techniques for fringe analysis, and they can be broadly classified into two categories: (1) phase-shifting (PS) methods which require multiple fringe patterns to extract phase information and (2) spatial phase demodulation methods which allow phase retrieval from a single fringe pattern, such as the Fourier transform (FT), windowed Fourier transform (WFT), and wavelet transform (WT) methods. Compared with spatial phase demodulation methods, the multiple-shot phase-shifting techniques are generally more robust and can achieve pixel-wise phase measurement with higher resolution and accuracy. Furthermore, the phase-shifting measurements are quite insensitive to non-uniform background intensity and fringe modulation. Nevertheless, due to their multi-shot nature, these methods are difficult to apply to dynamic measurements and are more susceptible to external disturbance and vibrations. Thus, for many applications, phase extraction from a single fringe pattern is desired, which falls under the purview of spatial fringe analysis. Here, we demonstrate experimentally for the first time, to our knowledge, that the use of convolutional neural networks can substantially enhance the accuracy of phase demodulation from a single fringe pattern. Deep learning is a powerful machine learning technique that employs artificial neural networks with multiple layers of increasingly richer functionality. The effectiveness of the proposed method is verified using carrier fringe patterns under the scenario of fringe projection profilometry. Experimental results demonstrate its superior performance in terms of high accuracy and edge-preserving over two representative single-frame techniques: Fourier transform profilometry and windowed Fourier profilometry.
False Alarm Reduction from Anomalous Seismic Events Detected by Smart Phones

Accelerometers equipped smartphones can detect seismic events in the same way as specialized seismological stations. However, the false alarm of the low-end sensors cannot meet the stringent requirement of earthquake detection applications. While a lot of work has been done to reduce the white noise, little of them focus on eliminating the adulteration caused by human motion. To that end, we first analyze the features of the sampling data for daily purpose, and employ a noise reduction strategy to extract the event features in data pre-processing to stick the p-waves out. Secondly, a new STA/LTA+DWT P-wave pickup algorithm is proposed to recognize the false alarms from the mixed events. The simulation results show that the proposed scheme can maintain the precision of positive decision to 90%, while significantly lowering the false alarm by about a third.
Efikasi Diri Bahasa Inggris sebagai Mediator antara Orientasi Tujuan Penguasaan dan Keterikatan Siswa Belajar Bahasa Inggris

English Self-efficacy is a self-confidence in English proficiency which is important to student behaviour on learning process. This study aims to investigated the role of english self efficacy in mediating the relationship between mastery goal orientation and student engagement on learning English. The method was quantitative using survey approach with 173 subjects. The subject was 173 students of 10th and 11st grade in SMA Negeri 9 Yogyakarta in 2016/2017 selected by purposive sampling technique. The Morgan-Jinks Student Efficacy State modification scale, student engagement modification scale, and mastery goal orientation scale were used in this study. The result showed that English self-efficacy was partially mediated. The mastery goal orientation directly had positive role to the student engagement (B= 0,468; p&lt;0,001). The mastery goal orientation had positive role to the student engagement on learning English with self-efficacy as mediator (B’=0,369; p&lt;0,001), English self-efficacy on boys were higher than girls.
Meningkatkan Efisiensi Rute Pada Protokol Routing AOMDV Menggunakan Metode PA-SHORT di Jaringan MANET

Mobile Ad-Hoc Network (MANET) is a development of the Ad-Hoc Network, where the nodes of this network have dynamic mobility. There are several types of routing protocols in MANET, one of which is AOMDV. Route discovery on the AOMDV routing protocol is done by calculating the distance based on the number of hops. If the number of hops increased, it may cause a considerable delay and a decrease in throughput. This study compares the performance of the AOMDV routing protocol with the Path Aware-AOMDV (PA-AOMDV) routing protocol. PA-AOMDV routing protocol is obtained through modifications to the performance of the AOMDV protocol with the Path Aware SHORT algorithm. The Path Aware SHORT algorithm is a method to reduce the number of hops. SHORT improves routing optimization by monitoring routes and optimizing these routes that have better paths. The performance of both protocols will be seen based on four parameters, namely throughput, average end-to-end delay, packet delivery ratio, and routing overhead. Result shows that the throughput increased for 50 nodes is 61,84% and for 100 nodes is 45,2%, average end-to-end delay decreased for 50 nodes is 0,066% and for 100 nodes 0,12%, packet delivery ratio increased for 50 nodes is 60,87% and for 100 nodes 82,02%, and routing overhead decreased for 50 nodes is 67,07% and 100 nodes 45,36%.
Developing Reading Materials In Narrative Texts For Second Grade Students Of Fashion Design Department At SMK Negeri 8 Medan

This study aims to develop reading materials needed for students at SMKN 8 Medan.The research was conducted by Research and Development (R &amp; D) develop through six phases; gathering information and data, analyzing data, develop new materials, validating by experts, revising and final product. It was conducted at SMKN 8 Medan, especially grade XI. The data were gathered by administering interview to English teacher and distributing questionnaire to 27 students’ needs. The interview and questionnaire results prove that the students need English reading materials which contain the appropriate knowledge or topic with the Kemendikbud (Kementerian Pendidikan dan Kebudayaan), syllabus and students’ need. Thus, developing materials are narrative text, the narrative texts expose the texts about fashion which are adjacent with students’ need. The products have been validated by experts. The average scores are 4.6 or 92 % from English Lecturer and 4.75 or 95% or from English Teacher. It means the developing materials categorized as relevant or appropriate for students at SMN 8 Medan grade XI Keywords: Research and Development (R &amp; D), Reading Materials, Vocational School, Fashion Design Program
EXPLORING THE FUNCTIONS AND REASONS FOR INTER-SENTENTIAL CODE-SWITCHING AMONG LECTURERS

The two most common categories in the code switching are intra-sentential and inter-sentential. Intra-sentential code switching occurs when the speaker code switch within sentences. Inter-sentential code switching, on the other hand, refers to the mixing of two languages in two separate sentences in an utterance. This research investigates the use of inter-sentential code switching among lecturers of a public university in Malaysia, where English is mainly the medium of instruction for many core courses. The need to conduct this study is due to the lack of empirical evidences on the difference in code-switching among teachers across age, experience, and faculties. 85 lecturers from six faculties who teach in a public university participated in a quantitative survey. The findings of this study reveal the categories of code-switching used by the lecturers from different faculties, as well as the functions and reasons for the code-switching. Future studies should consider the need for a standardized measurement of evaluating the functions and reasons of code-switching among the teachers and students. Article visualizations:
The Development of Smart Card-Based Media on the Beauty of Togetherness Themes in Class IV Elementary School of 026609, South Binjai District

This research is aimed to describe the development of smart card based media on the beauty of togetherness themes in class IV elementary school of 026609, South Binjai District. This research was carried out in stages from December to March. The subjects of this research were fourth grade students in elementary school of 026609, South Binjai District by taking as many as 28 students as a large group trial and 10 students for a small group trial. The object of the research is the smart card-based media which developed. This research found that the effectiveness of smart card-based media in improving student learning outcomes has been effectively used in learning, this can be seen from the results of the completeness of student learning in a classical manner on trial I or small group that obtained percentage of 90% and 76% of student response questionnaire and in trial II or large groups of learning outcomes is obtained a percentage of 86% and the results of student response questionnaire is obtained to 86.23%.
Considering Students’ Prior Knowledge in Culture-based Contextual Learning Media Application: How Effective It is to Support Students’ Mathematics Learning Outcome

&lt;span&gt;The &lt;/span&gt;&lt;span lang="EN-US"&gt;present &lt;/span&gt;&lt;span&gt;study &lt;/span&gt;&lt;span lang="EN-US"&gt;aims&lt;/span&gt;&lt;span&gt; to&lt;/span&gt;&lt;span lang="EN-US"&gt; describe the e&lt;/span&gt;&lt;span&gt;f&lt;/span&gt;&lt;span lang="EN-US"&gt;fectiveness of culture-based contextual mathematics learning media by considering students’ prior knowledge. &lt;/span&gt;&lt;span&gt;This &lt;/span&gt;&lt;span&gt;is a quasi-experimental study that&lt;/span&gt;&lt;span lang="EN-US"&gt; employed &lt;/span&gt;&lt;span&gt;pretest-postest non-equivalent group design&lt;/span&gt;&lt;span lang="EN-US"&gt;. &lt;/span&gt;&lt;span lang="EN-US"&gt;Eight graders of a Junior High School (JHS) in Yogyakarta were involved as &lt;/span&gt;&lt;span&gt;experimenta&lt;/span&gt;&lt;span lang="EN-US"&gt;l and control&lt;/span&gt;&lt;span&gt; grou&lt;/span&gt;&lt;span lang="EN-US"&gt;ps. &lt;/span&gt;&lt;span&gt; The data &lt;/span&gt;&lt;span lang="EN-US"&gt;were obtained through &lt;/span&gt;&lt;span&gt;a &lt;/span&gt;&lt;span lang="EN-US"&gt;test&lt;/span&gt;&lt;span&gt; to find out &lt;/span&gt;&lt;span lang="EN-US"&gt;the &lt;/span&gt;&lt;span&gt;students' mathematics learning achievements&lt;/span&gt;&lt;span lang="EN-US"&gt;, while t&lt;/span&gt;&lt;span&gt;he data analysis technique used is the analysis of two-way variance with unequal cells. &lt;/span&gt;&lt;span lang="EN-US"&gt;The results indicate that by considering the students’ previous knowledge, the culture-based contextual mathematics &lt;/span&gt;&lt;span&gt;learning &lt;/span&gt;&lt;span lang="EN-US"&gt;media is more effective than the conventional ones.&lt;/span&gt;
An Analysis of the Influencing Factors of College Students' English Achievement

Based on the data collected from questionnaires and scores of corresponding students, this paper finds out some factors affecting students' English achievements through the subjective and objective analysis of the data. Firstly, the principal component analysis (PCA) is used to reduce the dimensions of 14 variables, and the four main factors affecting English achievement are effort, confidence, motivation and additional effort. After that, a multiple linear regression analysis is made on the four aspects. It is found that there is a non-linear correlation between students' English achievement and effort. Factors that have a greater positive impact on achievement are confidence and motivation, while the additional effort has a negative impact on students. Finally, some suggestions are provided for students' English learning accordingly.
Atomic Proposition and 1-Order Predicate Function for Dialectical Logic

This paper has completed main fields of making dialectical logic pure mathematically, it is involved both atomic proposition and 1-order predicate function for dialectical logic, and by state-dual, true-valued function vector, state-contradiction law into basic logic law. In addition, also defines true-valued function for logic operators so that more easy to represent atomic proposition. Some examples are given and shown that Boolean algebra, as a special case of dialectical logic, is how to operate hybridize-able with dialectical logic.