Reviewerly/exHarmony huggingface dataset:
Construction of foundation pit monitoring information cloud platform based on SaaS mode

With the rapid development of Internet cloud computing technology, big data and visualization and other new technologies, the powerful data storage, calculation and analysis capabilities of new technologies provide favorable conditions for improving the timeliness, reliability and informatization level of foundation pit monitoring. By using SaaS mode and cloud computing technology, this paper subdivides the requirements of foundation pit monitoring work, and puts forward solutions according to design thinking and design means. The foundation pit monitoring information cloud platform is built in the way of Cloud Architecture, which greatly improves the efficiency of foundation pit monitoring, and realizes the high sharing of monitoring data information and platform resources.
KEMUDAHAN DAN MANFAAT PENGGUNAAN TEKNOLOGI INFORMASI BERBASIS WIRELESS TERHADAP KEBUTUHAN PENGGUNA INTERNET

The ease and benefits of using wireless-based information technology on productsissued indihome to the needs of internet users in the city of Pontianak provide a significant figureof 31.9%, this data was obtained based on calculations using SPSS V. 23.00 software. Details ofrespondents were 50 indihome customers in Pontianak. The data collection method uses aquestionnaire with a Likert scale and multiple regression analysis as a research methodology.The results obtained concluded that the ease and benefits of using wireless-based informationtechnology on indihome products to customers in Pontianak are able to meet the needs of usersfor internet access. High internet needs make users feel very dependent on indihome internetnetworks at 31.9%. This must always be considered by service providers in increasing the easeand usefulness of the products offered. Many factors of other variables amounting to 69.1% werenot examined in this study which has the opportunity to influence the variable user needs that canbe considered by providers in order to be able to meet the needs of internet users, especially loyalindihome users .
Analysis of Career Barriers and Career Decision Level of Instrumental Music Majors in Korea

본 연구의 목적은 관현악 전공생(예고, 대학생, 졸업생)들을 대상으로 졸업 후 진로에 대한 인식과 진로장벽요인, 그리고 진로결정수준을 분석하여 관현악 전공생들에게 졸업 후 진로지도에 유용한 정보를 제공하는 것이다. 본 연구를 통해 얻은 결론은 다음과 같다. 첫째, 관현악 전공생들의 진로결정수준을 측정한 결과, 고등학생과 대학생 1학년까지의 진로결정수준에는 변화가 없지만, 학년이 올라가면서 진로결정수준이 낮아지고 있는 것으로 나타났다. 둘째, 진로가 결정된 관현악 전공생들이 미결정된 전공생들보다, 진로준비행동 수준과 진로결정수준이 높은 것으로 나타났다. 마지막으로 관현악 전공생들의 진로장벽과 관련한 질적자료를 분석한 결과, 관현악 전공생들은 연주자로 성공하기 어려운 현실과 직업의 불안정성으로 진로를 결정하지 못하거나 진로를 포기하는 경우가 많았으며, 오케스트라에 단원으로 활동하거나 유학 후 대학에서 강의를 하는 경우도 진로에 대한 고민을 심각하게 하는 것으로 나타났다.The purpose of this study was to analyze the factors that influenced the career barriers and level of career decision of musical instrumental majors in order to provide the useful advice for career development. The results of this study were as following. First, there was no difference between high schoolers and freshmen of college on the level of career decision for the musical instrumentalists, but that of the career decision tended to reduce as years go by. Secondly, the musical instrumentalists who decided their careers showed higher level of career decision than that of others who were undecided. Lastly, the qualitative data indicated that the musical instrumentalists, even successful musicians, tended to be undecidable or gave their goals up as musical instrumentalists because of the limitation of job opportunities as musicians.
MeTis meshing-based Bayes 3D ship model geometry reconstruction

In order to improve the compression efficiency of 3D model geometry reconstruction process, a MeTiS meshing-based Bayes 3D ship model geometry reconstruction algorithm is proposed. The original 3D mesh is subnetted by the MeTiS method at the coding end, and the geometrical shape of the subnet is coded by a random linear matrix, and the neighbour node of the boundary node is considered to construct the data sequence by the pseudo random number generator; then the Bayes algorithm is used to design the geometric model reconstruction algorithm, and the learning rules for the mean, variance matrix and model parameter are theoretically given, realising the geometric reconstruction of 3D model; finally, on the 3D model standard test library and 3D ship model, the simulation comparison with the GFT, LSM and CSGFT and other algorithms show that the proposed method has a relatively high bit rate compression index and a low reconstruction error, leading to significantly improved computational efficiency.
STRATEGY FOR IMPROVING QUALITY OF SERVICE SEARCH SERVICE SEARCH SERVICERS IN PEKALONGAN DISTRICT THROUGH BROADCAST SMS SERVICE BASED ON DELPHI 7.0 ON DELPHI 7.0 BASED ON EMPLOYMENT CONSULTANT INSTITUTION BRILLIANT SOLUTION

Every company wants hight profit and sustainability for their life, for this purpose they must competing for each other to have the best performance. Developing the greatest market performance need excellent strategy and maximum effort in all departments. Market performance can be achieved from good quality service to the customer's Labor-related issues, it is necessary also to be made ​​regarding the selection of information systems. Because of this time, a lot of human activities associated with information systems. Not only in developed countries, but in Indonesia also has many information systems applied everywhere; in the office, the supermarket, to the airport, and even at home when the user mingles with the internet or via mobile phones. Whether consciously or not, information systems have helped humans According to Dr. Payaman quoted A. Hamzah (1990) workforce includes workers who work within and outside the working relationship with labor productivity.Production tool itself, both physical and mental power. Brilliant Solution is a management consultancy and human resources training of prospective employees who serve both graduated from junior high/high school / MA to college. There, the candidates are trained to know how the work ethic. Within Brilliant Solution is a data collection system candidates are still using Microsoft Excel 2007. So it is still not effective. It is also in informing employees still use the manual way. Thus the authors decided to write a program or application PROSPECTIVE EMPLOYEE INFORMATION SYSTEM DATA COLLECTION AND EQUIPPED FEATURES BASED BROADCAST SMS DELPHI 7.0
A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer's Disease.

Alzheimer’s disease (AD) constitutes a neurodegenerative pathology that presents mobility disorders as one of its earliest symptoms. Current smartphones integrate accelerometers that can be used to collect mobility data of Alzheimer’s patients. This paper describes a method that processes these accelerometer data and a convolutional neural network (CNN) that classifies the stage of the disease according to the mobility patterns of the patient. The method is applied in a case study with 35 Alzheimer’s patients, in which a classification success rate of 91% was obtained.
PERANCANGAN LIGHT NOVEL SITTI NURBAYA DENGAN ILUSTRASI CAT AIR

The design of this thesis aims to attract the reading interest of the Indonesian millennial generation to Indonesian old literature with light novel, The title is Sitti Nurbaya, adapted from the work of Marah Rusli with a similar title. It tells about Sitti Nurbaya's classic love story with forced marriage problems and other values in it.The research method used is a qualitative descriptive approach by collecting data from observations, literature studies and interviews.In this study, the authors obtained the results of a questionnaire distributed to 100 respondents who argued that the old Indonesian literature would be more interesting if added with illustrations because being able to build a new world of imagination created by stories and illustrations, unfortunately still rarely found illustrated novel books that lift old Indonesian literary works so that the old Indonesian literary works lacked the attention of the millennial generation. In this questionnaire, the author found that the genre of books that are of interest to the millennial generation is romance.To make this light novel take more time and effort starting from data collection, design process to production process. This also needs many attention to each design and illustration rule in order to attract readers. Through this design, it is expected to increase the appreciation of the millennial generation for Indonesia's old literary works.
The Development and Validation of Interview Protocol Design for Factor Affecting Agile Maintenance Adoption

Qualitative research often been used when there is a problems or issues that need to be explored. The exploration is needed since certain variables are extracted from informants voices based on their experiences in the phenomenon studied. Interviews is one of the data collection approach in qualitative research. Prior to conduct the interview sessions, qualitative researcher need to prepare an interview protocol to facilitate the process.  Managing software maintenance requires different knowledge and experience from the practitioners. Despite, the emergence of new method in performing software maintenance processes requires deep understanding from the practitioners. Furthermore, introducing agile methodologies in software maintenance imposed significant impact to software industries. This phenomenon sparks the need to understand the practitioners’ thoughts to develop understanding based on their experience. The objective of this study is to refine the previously constructed interview protocol to identify the current practice in agile maintenance and the criteria involved during the selection of agile method. This is to ensure that the protocol is easily understood and covers all research questions and objectives. This study employed the four steps in Interview Protocol Refinement (IPR) framework which is (1) ensure alignment of research questions and interview question, (2) construct inquiry-based conversation, (3) received feedback on interview protocols and (4) interview protocol pilot testing. The IPR framework is a helpful tool in order for researcher to improve the interview protocol reliability and validity. This study presents the design of the interview protocol that was based on the findings from literature review and experts’ validation.
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform

When facing high-dimensional data streams, clustering algorithms quickly reach the boundaries of their usefulness as most of these methods are not designed to deal with the curse of dimensionality. Due to inherent sparsity in high-dimensional data, distances between objects tend to become meaningless since the distances between any two objects measured in the full dimensional space tend to become the same for all pairs of objects. In this work, we present a novel oriented subspace clustering algorithm that is able to deal with such issues and detects arbitrarily oriented subspace clusters in high-dimensional data streams. Data streams generally implicate the challenge that the data cannot be stored entirely and hence there is a general demand for suitable data handling strategies for clustering algorithms such that the data can be processed within a single scan. We therefore propose the CashStream algorithm that unites state-of-the-art stream processing techniques and additionally relies on the Hough transform to detect arbitrarily oriented subspace clusters. Our experiments compare CashStream to its static counterpart and show that the amount of consumed memory is significantly decreased while there is no loss in terms of runtime.
Penerapan Data Mining Dengan Algritma Fp-Grwoth Untuk Mendukung Strategi Penjualan Smartphone (Studi Kasus: PT.Oppo Indonesia)

At present the growing number of smartphones is growing which makes managers want to get a better promotional strategy. The way to find the right sales strategy will be to reduce the cost of promotion and achieve the right sales goals. One way that can be done to determine the promotion strategy is to use data mining techniques. The technique used in this case is the FP-Growth Algorithm. FP-Growth is one alternative algorithm that can be used to determine the set of data that most often appears (frequent item sets) in a data set. FP-Growth algorithm is the development of Apriori algorithm. Whereas in the FP-Growth algorithm no candidate is generated because FP-Growth uses the concept of tree development in searching for frequent itemset. The study was conducted by observing several research variables that are often considered by companies especially in marketing in determining the promotional objectives, namely user objectives, user experience, service, analyst. The results of this study are in the form of a software by implementing the FP-Growth algorithm that uses the concept of FP-Tree development in searching for Frequent Itemset
Optimising user engagement in highly automated virtual assistants to improve energy management and consumption

This paper presents a multi-dimensional taxonomy of levels of automation and reparation specifically adapted to Virtual Assistants (VAs) in the context of Human-Human-Interaction (HHI). Building from this framework, the main output of this study provides a method of calculation which helps to generate a trust rating by which this score can be used to optimise users' engagement. The authors believe that this framework could play a critical role in optimising energy efficiency in both management and consumption, particular attention has been given to the relevance of contextual events and dynamism in enhancing trust. For instance by understanding that trust formation is a dynamic process that starts before the user's first contact with the system, and continues long thereafter. Furthermore, following the evolving nature of the system, factors affecting trust and the system itself change during user interactions over time; thus, systems need to be able to adapt and evolve. Present work is being dedicated to further understanding of how contexts and its derivative unintended consequences affect trust in highly automated VAs in the area of energy consumption.
Penerapan Jaringan Syaraf Tiruan Dalam Pengenalan Huruf Aksara Suku Karo dengan Metode Perceptron

Recognition of letters is one of the capabilities of artificial neural networks (ANN) both recognition of facial patterns, fingerprints, handwriting and character patterns, and printouts. The problem experienced in the introduction of the Karo tribe is the difference between the letters of the alphabet and the letters of the script very different, both in form and how to read it, and must be able to recognize each one of the letters. In learning the karo tribe, a person can experience difficulty in learning it. Therefore, the introduction of karo characters is needed to avoid mistakes in the introduction of Karo tribe letters and makes it easier for the public to know or recognize the characters of the karo tribe. The perceptron method is able to recognize the karo characters which will result in the recognition that the image object can be recognized by the network, making it easier for humans to manage data in a program through a pattern of input that is recognized in advance so that the network can be made from a black and white image
A new method for extracting table borders of insurance policies

The insurance policies are manually verified in vehicle inspection stations. To speed up the procedure, an improved method is presented in this paper. Firstly, two common methods include projection and morphology are introduced to process insurance policy table borders, and the shortcomings of them are clearly, the former relies on the exact coordinates of the pixel, and the latter depends on the integrity of the borders. To solve these problems, the morphological method with special designed structural elements is used to extract the cells from the table and get the minimum abscissa of these cells. Then, the projection method is applied to get the abscissa of the left and right borders of the table. The abscissas obtained by the two methods are compared to judge whether the processed table is defective. If there is no defect, process it with the improved morphological method. Otherwise, the fitting method is used to fit the border of the defect table. The experimental results show that the proposed method is effective on insurance policy images from 14 insurance companies.
A Cost-Efficient and Time Saving Exercise Posture Monitoring System

Fitness is the state of human contentment and physical excellence of human body. In this tedious life, people tend to neglect their fitness and unconcern their health and well being. They have no time to dedicate to their fitness and at times, also cannot afford to join a gym. People who try to exercise at home without the monitoring of a professional trainers are prone to serious injuries over the long run due to anomalies in their posture. To cater this problem, we put forth an idea of a system that monitors the posture of the person who is engaging in a particular exercise. This system will allow the user to keep track of their posture in real-time. The system compares the expected posture for a particular exercise with the user’s posture. A deviation of \(10^{\circ }\) from the expected angle is considered for the user performing the exercise. The system will also keep track of the number of repetitions of a particular exercise performed by the user. The average confidence score of the user’s posture performing bicep curl and lateral raise is accounted. This structure facilitates individuals and bilateral exercise structure. This system is an innovative contribution to the Human Computer Interaction (HCI) domain.
ВЗАИМОСВЯЗЬ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ И СКЛОННОСТЕЙ К ДЕВИАНТНОМУ ПОВЕДЕНИЮ У ПОДРОСТКОВ

The article discusses the problems of deviant behavior of modern adolescents, presents an analysis of the results of research on the relationship between value orientations and aptitudes towards deviant behavior of adolescents. Revealed significant relationship of value orientations and propensities for deviant behavior in adolescents.
Effect Of System Quality and Information Quality on Crisis Management - An Empirical Study on Jordanian Mobile Telecommunications Companies.

This study attempts to identify the impact of system quality and information quality on crisis management in Jordanian mobile telecommunication companies.A survey method was applied through a questionnaire.Zain, Orange and Umniah are Jordanian mobile telecommunications companies that are working in the Hashemite Kingdom of Jordan.A sample of 80 managers participated in this study.The data was analyzed by a descriptive statistics method using the statistical package of social sciences (SPSS).The results showed a strong statistical significant effect of system quality and information quality on crisis management in the targeted telecommunication companies.The study concluded that 85.3 % of the variation in crisis management are explained by both (system quality & information quality) This is an high percentage which illustrates the importance of (system quality & information quality) and their impact on crisis management.The study recommends paying more attention and focus on studying the different factors of quality measurement in information systems and their impact on crisis management.
Design and implementation of small home entertainment bowling system

With the development of society, people can also engage in recreational activities at home to achieve the effect of physical fitness. However, many traditional home entertainment projects have unreasonable design and function. Therefore, this design of small home bowling system not only uses the traditional technology of intelligent hardware, embedded and sensor, but also uses the scoring algorithm and the stable speed algorithm of brushless dc motor under fuzzy control to design and control the system. Firstly, it defines the overall structural framework of bowling ball and generalizes the overall design scheme. Then, the system is divided into different units through the design of hardware platform for specific original circuit design. Using <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mu \mathrm{C}$</tex> /OS-II real-time operating system programming, and specific programming is carried out for each unit after grading system functions. It realizes the accurate scoring function and automatic reset function of home run under different batting position and distance. At the same time, it can carry out voice broadcasting, alert users when the power is in danger, and upgrade and maintain the system.
Sparse Representation of Images based on RBF Neural Network

In this paper, we present a model and corresponding algorithm for sparse representing of image data. We use a RBF neural network with a small number of ellipse Gaussian functions to approximate the input images. The sparisty of the image data is achieved by solving a nonlinear optimization problem with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{1}$</tex> -regularization in our model. Experimental results illustrate that our method can represent the input images with good accuracy by much less number of ellipse Gaussian functions. The method is applicable for representing general surfaces and shapes.
Identification of gold mineralization zone in “GB” field, Jambi, Indonesia using 3D inversion magnetic data

Abstract “GB” Field is a gold mineral prospect field located in Jambi, Indonesia. The gold zone is identified using 3D inversion magnetic data. The types of mineralization in this area are high epithermal sulfidation and porphyry copper-gold, which were formed in a hydrothermal environment. Characteristic of this type is a host rock of intermediate-acid igneous rock. This rock comprises mineral ores such as copper-gold and magnetic gangue minerals. Therefore, magnetic methods are very sensitive in identifying the gold prospect areas. Magnetic data were acquired at a 5 m spacing between stations along 51 lines with 100 m spacing between lines. To identify the position, type, and depth of the subsurface structure relating to the gold deposition environment, derivative analysis was performed using first horizontal derivative and Euler deconvolution calculations. Then, a 3D inversion model is constructed to objectively delineate the subsurface structure. Induced polarization as well as geological data are also used to identify the resistivity and chargeability parameters of the prospect zone and its environment. Thus, a gold deposition zone was identified based on the lithocap and intrusion body. The top of the intrusion rock was at a depth of 80 m from the surface.