Reviewerly/exHarmony huggingface dataset:
Fine-Grained Geolocalization of User-Generated Short Text Based on a Weight Probability Model

Recently, the fine-grained geolocalization of User-Generated Short Texts (UGST) has become increasingly important. One challenge is that UGST contains relatively little location-indicative information due to such limitations as text length. Therefore, extract and effectively use the location-indicative information is the key issue for improving the effect of geolocalization. The existing works only consider the global weight of the terms and do not distinguish between the importance of identical terms in different locations. In addition, the existing add-one smoothing masks the difference between the features of different locations. In this paper, we propose a fine-grained geolocalization method to predict the PoI-level location of UGSTs based on a weight probability model (FGST-WP). The method mainly includes three parts: 1) Using the reverse maximum match algorithm to filter out UGSTs that do not contain any location-indicative information. 2) Building coupling of terms and locations and adopting a mixed weight strategy to assign weights to terms. 3) Calculating the probability of nongeotagged UGST posted from each location and selecting k locations according to the top- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> probabilities. The accuracy of FGST-WP on the three ground-truth datasets reaches 45%, 68%, and 72%, respectively. The results indicate the superior performance of FGST-WP.
An Improved Correlation Filter-Based Target Tracking Method

Visual tracking is still a challenging task as the objects suffer significant appearance changes, fast motion, and serious occlusion in practical applications. In this paper, we propose an improved correlation filter-based tracking method for robust object tracking. We first propose a criterion that combines the response value and the object displacement difference to determine whether the tracker drifts. Then, in the re-detector, the Edge boxes method is used to detect potential objects. When the criterion is triggered, the re-detection mechanism is executed and the tracker is commanded to stop, and then the re-detector selects the most reliable object to reinitialize the tracker. Extensive experiments demonstrate that the proposed method is superior to some of the most advanced methods in terms of accuracy, speed and robustness.
Towards Efficient Mapless Navigation Using Deep Reinforcement Learning with Parameter Space Noise

This paper presents a deep reinforcement learning framework that is capable of training the mapless motion planner end-to-end by taking the laser range findings as input and the continuous steering commands as output. Major improvements are introduced in our Deep Deterministic Policy Gradient algorithm (DDPG): parameter space noise is used to encourage exploration and an efficient exploration strategy is designed to boost navigation performance. The proposed learning framework is implemented to train the mobile robot in the Gym-gazebo simulation environment. The simulation study shows that the proposed mapless motion planner can navigate the nonholonomic mobile robot effectively without collisions.
A Diagnostic Model of Rectal function Reconstruction Based on Wavelet Analysis and LVQ Neural Network

In view of the problems of the existing rectal pressure measurement and diagnosis, we recommend the use of an artificial anal sphincter system for pressure collection and diagnosis of the intestine. In this paper, the semi-soft threshold denoising method of wavelet transform is used to denoise the pressure signal collected by the artificial anal sphincter actuator with sensors, and the denoised noise is decomposed by six-layer wavelet transform. Then, we extract the high and low frequencies, reconstructed high and low frequencies characteristic components. Quantitative feature is the input of neural network, normal and abnormal intestinal types are the output of network. The Leaming Vector Quantization (LVQ) neural network is trained with training set data, and then the testing data are tested. Finally, the test results are analyzed. The results of simulation test show that the device can help doctors identify the intestinal function of patients and provide a basis for further diagnosis.
Development of Colaborative Learning Model Based on Permen Cilok Media For Strengthening Education Characters of Elementary School Students in Demak District

Development of Cilok Media Based Collaborative Learning Model for Strengthening Character Education of Demak Elementary School Students.This research aims to strengthen character education in environmental care for elementary school students through collaborative learning models based on Permen Cilok media as teacher innovations in accordance with technological developments especially in the Demak Regency Primary School.The function of the Permen Cilok media makes learning more interesting.In the media there are character values of environmental care that are integrated into the content of the lesson.This research refers to the Research and development approach, which consists of four steps, namely: 1) Preliminary Study; 2) Model development and validation; 3) Field Test; 4) Dissemination and Dissemination.Data collection techniques consist of observation, interviews, questionnaires and documentation.The data sources of this study were students, 6th grade elementary school teachers in Demak district, expert teams and education offices in Sayung District, Demak Regency.Data analysis carried out in this research and development is a quantitative and qualitative data analysis technique consisting of: needs analysis and analysis of validation test results.There is an increase and positive influence on students' attitudes in learning, especially the character of environmental care.It can be seen from the results of observations.Observation and assessment of students conducted.The results of the overall material validation of the three validators amounted to 90.56%.And the results of the validation of the learning media as a whole amounted to 91.5%.While the overall learning model validation was 90.2%.The results of the overall assessment of respondents received an average of 63.52 with included in either category.
Discussion as an active method of teaching during a future teacher’s professional training

The article deals with the methodology of discussion teaching which allows forming and developing the main discussion skills and discussion abilities. The proposed approach to the organisation of the process of discussion teaching is designed using the development of connections between the substance of the thinking activity during the discussion of problematic situations and the speech means of its expression. The characteristics, included in the concept of "discussion", are given; its nature and principles are revealed. The classification of discussion skills and abilities, designed using speech and thinking acts with various thinking forms and techniques, is provided. The main focus is on the system of discussion teaching which includes a number of interconnected stages; the description of the methodology of the work on each stage is given. The ways of the construction and the technology of completing a number of exercises for the discussion skill formation and the discussion ability development are shown. The organisation and the management of the process of discussion teaching are considered.
Efficient Privacy-Preserving Outsourced Discrete Wavelet Transform in the Encrypted Domain

Signal processing in the encrypted domain is a potential tool to protect sensitive signals against untrusted cloud servers and unauthorized users in the delegated computing setting, without affecting the accuracy of large volume of signal analyzing and processing. Most existing approaches use Paillier’s public key additively homomorphic encryption to encrypt each signal in a large bundle; thus, incurring significant computational costs at local, often resource-constrained, devices while guaranteeing only signal input privacy. To address these limitations, in this paper, an efficient privacy-preserving outsourced discrete wavelet transform scheme (PPDWT), comprising PPDWT-1 and PPDWT-2, without leveraging public key (fully) homomorphic encryption is proposed. Specifically, PPDWT-1 is proposed to achieve signal input privacy against the collusion between the honest-but-curious cloud and unauthorized users, and the proposed PPDWT-2 protects both signal input privacy and coefficient privacy against collusion attacks. Both constructions leverage the offline execution of any one-way trapdoor permutation only once to encrypt batch signals, and permit signal processing in the encrypted domain. In our approach, only authorized users can successfully decipher the result of discrete wavelet transform. Compared to the <inline-formula><tex-math notation="LaTeX">$O(|l|)$</tex-math></inline-formula> computational complexity on the user’s end in existing state-of-the-art public key homomorphic encryption-based techniques, our approach only incurs <inline-formula><tex-math notation="LaTeX">$O(1)$</tex-math></inline-formula> computational complexity which is independent to size of the signal inputs <inline-formula><tex-math notation="LaTeX">$|l|$</tex-math></inline-formula> . We also discuss the expanding factor, the upper bound and various extensions to privacy-preserving discrete cosine/fourier transform in the encrypted domain. Finally, our proposed PPDWT is formally proved secure under the universal composability (UC) model. We then evaluate the proposed approach using case studies to demonstrate its effectiveness and practicability.
Penerapan Media E-Learning Berbasis Moodle pada Jurusan Teknik Informatika dan Sistem Informasi Universitas Trisakti

This study aims to apply to moodle e-learning to Trisakti University students majoring in informatics engineering and information systems, knowing the feasibility of e-learning produced as a source of student learning, and revealing the effectiveness of e-learning towards the achievement of student learning outcomes. This study shows that e-learning was developed with Moodle through three stages, namely: first planning, design, and development, both e-learning are feasible to use for students, and the third is the application of e-learning to Trisakti University students majoring in informatics engineering and systems information effectively improves student cognitive learning outcomes. This is evidenced by a survey conducted by the author.
Classification Method for Surrounding Rock of Highway Tunnel Based on Quantization of Tunnel Face Structure

By studying tunnel face images collected during a highway tunnel excavation, we establish the classification system of photolithography by MATLAB programming. According to the rock mass index (rock block size index or RBI) concept, 19 virtual lines are arranged in turn to the tunnel contour line, and the difference of the brazier rock mass structure is evaluated synthetically by 19 RBs of the radial direction of the face. Based on the structure, the distribution of comprehensive index of the rock mass structure (Z-RBI) is obtained through a comprehensive evaluation of the rock surface, and the corresponding relationship between the Z-RBI and rock structure type is determined. Considering the hardening degree of rock mass, the Z-RBI, groundwater condition, and initial geostress state, we propose the BP classification method for tunnel rocks, and we evaluated the BT method by using the analytic hierarchy process standard in an actual project. The comparison of the BT classification method and traditional BQ method reveals that the result of the former is more in accordance with the actual level of the excavated rock face than that of the latter method.
Organisation of work on the pedagogic support of the formation of personality in the networked form of the implementation of educational programmes

This article proposes the organisation of work on the basis of a network form of interaction; creating conditions for the formation of a single social and educational medium that ensures the development and socialisation of students is described as well as implementation of joint educational and socio-pedagogic projects that ensure the inclusion of students in various types of social practices; organising and conducting joint research aimed at finding and solving topical problems of education and upbringing; strengthening the human resource capacity of network partner organisations; expanding the material and technical base to improve the efficiency of interaction; improving the scientific and methodological work of pedagogues. Mechanisms of network interaction are described, as well as its logic and steps that correspond to the stages of the professional development of the personality of students on a particular course, while solving specific educational tasks. The model "institute – resource centre" was the leading model of network interaction. This model represents the integration of several educational organisations around one of them, which has the greatest material and personnel potential, which will play the role of a resource centre for other educational organisations.
The Role of University in The Implementation of Eco-Innovation in Creative Industry Center of the Natural Stone Crafts

This study aimed to find out the influence of university role in the implementation of eco-innovation in the creative industry in the natural stone handicraft sector.The object of this research was the creative industry center of the marble and natural stone handicraft sub-sector in Tulungagung City, Indonesia.From the existing craftsmen population, 81 craftsmen as respondents were taken as samples.The research data was obtained by distributing questionnaires, then the data were tested, processed, and analyzed using Partial Least Square Consistent -Structural Equation Modeling (PLSc-SEM).The results of this study stated that university's role in the implementation of eco-innovation in the industry center of natural stone handicraft in Tulungagung could significantly improve eco-organizational innovation, eco-process innovation, and eco-marketing innovation.However, it was not significant in improving eco-product innovation.In order to further improve the implementation of eco-product innovation, the university role in assisting to increase eco-marketing needed to improve because of its significant influence on eco-product innovation.Later, the results of the study were developed to explain the concept of triple helix, namely the role of university, industry, and government in the implementation of eco-innovation and the performance improvement of creative industrial centers of natural stone crafts in Tulungagung Indonesia.
How to Implement the Savi Learning Model for Students with Reading Difficulties

The purpose of this action research is to describe the application of the SAVI learning model and learning for continuous students to learn to read in the fourth grade of Tomohon State Elementary School II and SD GMIM III Tomohon.The method used in this study is action research.Action research provides useful answers for teachers or educators in conducting studies in a school and providing input that requires help to improve what has been done real.This study uses the Elliot model with quantitative and qualitative research (mixed methods) in the field of data analysis.Based on the results of the assessment, discussion of researchers with collaborators, and achievements of student learning outcomes in each cycle, it can be concluded that: a) Thematic learning outcomes and learning in sustainable students in grade IV of Tomohon Elementary School II and SD GMIM III Tomohon can be searched through the application of the SAVI learning model, b) The learning process that applies the SAVI Learning Model is able to overcome the difficulties of students, namely learning continuous difficulties for subject matter with moving learning, understanding, listening and thinking to improve learning and learning outcomes improve.
MOTIVASI DAN PERSEPSI MASYARAKAT PULAU ENGGANO TERHADAP PENDIDIKAN

This research aims to analyse the impact of motivation and perception of the society on the quality of education in Enggano island: one of the 111 outermost islands in Indonesia. Despite lacking of supporting facilities is still a main problem of education in Enggano, non-physics (motivation and perception) data are expected to provide alternative solution. Data in this research was collected by using semi-open questionnares to all qualified respondents. 579 quetionnaires in total were fulfilled by six categories of respondents: the students of elementary-, junior- and senior high school, teachers, parents, and the village leaders. Our results show that the motivation of students in Enggano is sufficiently high: 78 out of 100, while the perception of parents and teachers to education is on the medium level: 65 out of 100. The village leaders have graded the quality of education in Enggano on 5.6+0.17 out of 10. Besides of the medium level on perception, a low integrity among the teachers also contributed to the backwardness of eduaction in Enggano.MOTIVATION AND PERCEPTION OF ENGGANO ISLAND COMMUNITIES ON EDUCATION. This research aims to analyse the impact of motivation and perception of the society on the quality of education in Enggano island: one of the 111 outermost islands in Indonesia. Despite lacking of supporting facilities is still a main problem of education in Enggano, non-physics (motivation and perception) data are expected to provide alternative solution. Data in this research was collected by using semi-open questionnares to all qualified respondents. 579 quetionnaires in total were fulfilled by six categories of respondents: the students of elementary-, junior- and senior high school, teachers, parents, and the village leaders. Our results show that the motivation of students in Enggano is sufficiently high: 78 out of 100, while the perception of parents and teachers to education is on the medium level: 65 out of 100. The village leaders have graded the quality of education in Enggano on 5.6+0.17 out of 10. Besides of the medium level on perception, a low integrity among the teachers also contributed to the backwardness of eduaction in Enggano.
The Problem-Based Learning Procedural Model in the Software Modeling Course at the Information Technology College in Indonesia

The characteristic of the Direct-Instruction system, which depends on the ability of the teacher's reflection, only provides little opportunity for students to be actively involved in the learning process.This process contrasts with the characteristics of the Software Modeling course which ideally emphasizes student-centered learning.The impact of the learning process becomes ineffective, and students cannot reach the minimum competency standards planned in the learning design.We propose a model of integrating Problem-Based Learning (PBL) into the Learning Modeling Software design on three elements of the learning system namely Elementary Curriculum, emphasizing the use of problems as the starting point of student learning; Element Group, emphasizing collaboration systems (group discussion based learning); and Student Elements, emphasizing the Student-Directed-Learning (SDL) system.We tested the effectiveness of the PBL model in small group trials in learning situations that resembled the actual situation and found PBL effectively increased student mastery of a particular topic.However, further discussions regarding 1) how many guidelines are needed in PBL; 2) potential student experience confusion if there is not enough initial learning framework; 3) students who do not have adequate initial knowledge and tend to experience underdevelopment, are still needed to find PBL models that are genuinely effective in learning the field of Software Engineering.
Classification of Remotely Sensed Data by Texture Features with the Nature-Inspire Optimization Algorithm

At regular intervals, the satellite remote sensing technologies collect images/data and volume of information gathered is substantial and it is developing exponentially as the innovation is developing at a quick speed. Remote sensing technique has been extensively utilized for recognition of land use and land cover structures. In this paper, we have used four classes of images which are enhanced by Prewitt filter and features are extracted by texture approaches, which increases the pattern visibility. The proposed methodology here includes an efficient feature extraction and further classification of the satellite images on the basis of these features using Particle Swarm Optimization, hybrid (PSO+ACO). For the training Convolution Neural Network (CNN) is used. The various performance metrics have been determined and contrasted according to the recovered satellite images from the dataset.
Two or three contributors of DNA mixtures? – Some practical considerations

The number of contributors is hard to determine in DNA mixture profiles. Here, we deal with the special but frequent case that either two or three contributors are possible. In fact, it might happen that two contributors can explain the number of alleles seen but that three contributors are necessary if a specific person of interest is to be included in the mixture. Then the likelihood ratio assuming two contributors will be zero while the likelihood ratio for three contributors may be large. We evaluate this situation and offer suggestions on how to arrive at an overall likelihood ratio. To exemplify our line of reasoning we use an example proposed by Biedermann, Taroni and Thompson.
D-dimensional nondestructive teleportation based on non-maximally entangled channel

Quantum teleportation aims to transfer an unknown quantum state between two remote parties who share an entangled pair in advance. We propose a quantum teleportation scheme for realizing d-dimensional point-to-point quantum teleportation without information loss based on non-maximally entangled Bell pairs. Compared with generalized probabilistic teleportation scheme, our scheme offers the chance to preserve the unknown quantum state if teleportation fails. In addition, our nondestructive teleportation scheme can reduce the communication delay on account of the fact that the information transmission and channel modulation can be performed simultaneously.
CODE SWITCHING ANALYSIS IN THE NOTES MADE BY THE SALES ASSISSTANTS IN RIPCURL

Language is very important means of communication. It is used to communicate and to give information to others. There are many languages in the world that people can choose their interaction. Choosing one proper language in communication is very important to avoid misunderstanding. People have to choose a particular language and or decide to switch from one to another. The switch from one language to the other one called as code switching. Code switching may occurred in many areas. One of them is tourism area. Thus, this research is design to identify the types of code switching, to analyze the function of the code switching and to find out the factors led the sales assistants code-switch. The data was taken from the log book of Ripcurl (surf shop) that is written by the sales assistants. The data was collected through observation method through note taking techniques. The log book was read and the expressions represent the use of code switching were noted. After the data collected, they were analyzed. Descriptive qualitative method was used to analyze the data. The analysis was conducted through several steps. First, the theory proposed by Poplack (1989) was used to classify the types of code switching produced by Nusa Dua Ripcurl log book. Furthermore, the theory of the function of code switching developed by Apple and Muysken (1987:118-120) was used to analyzed the function of code switching.&#x0D; Keywords: code switching, log book note