Reviewerly/exHarmony huggingface dataset:
PENGARUH PENGAWASAN, LINGKUNGAN KERJA DAN FASILITAS KERJA TERHADAP PRESTASI KERJA PEGAWAI DINAS PERPUSTAKAAN DAN KEARSIPAN KOTA TANJUNGBALAI

The formulation of the problem in this study is whether the supervision, work environment and facilities simultaneously have a positive and significant effect on the work performance at Library and Records Office, Kota Tanjungbalai . This study aims to determine the effect of supervision, work environment and facilities on the work performance of the employees at Library and Records Office, Kota Tanjungbalai . The sample in this study were all employees at Library and Records Office, Kota Tanjungbalai , which numbered 38 people. The data analysis technique in this research is Multiple Linear Regression. The results of this study indicate; Partial supervision has a positive and significant effect on employee work performance; The work environment partially has a positive and significant effect on employee work performance; Work facilities partially have a positive and significant effect on employee work performance; Supervision, work environment and work facilities simultaneously have a positive and significant effect on employee performance. Keywords : Supervision; Work environment; Work Facilities; Work performance
Enabling knowledge accessibility for a customer support unit with an information retrieval portal

Customer support units generate massive amounts of free-text data. The retrieval of this information can be of great interest for companies to provide better customer support services. The customer support units in manufacturing companies have particular requirements in this aspect, sometimes requiring complex technical information from past cases. However, the information tools available for in this customer support units sometimes can prove to be inefficient and complicated from the workers' point of view. This thesis explores how an information retrieval portal, built as an Minimum-Valuable-Product, provides relevant information accessibility to a customer support unit. A full-stack solution was developed after analysing the workers' information needs, knowledge tools and state-of-the-art technologies in information retrieval. The technology used stores in a No-SQL information retrieval storage system which provides a new data scheme, and a boolean scoring function is used to retrieve the documents. The solution is evaluated from two points of view: from an information retrieval point of view by measuring the precision of the first ten results retrieved, and from a user experience perspective, to measure the learnability and user satisfaction of the new tool in comparison with the old one . As the main results of this thesis, we show that the boolean query strategy was suitable for the information needs of the users. The precision of the retrieval system achieved good results. The design of the portal provided a simple and easy user interface for users as it is reflected in the learnability results. In general, the solution was well received by the users as the commentaries provided show. Nevertheless, further improvements can be made by addressing some problems design flaws that the users flagged.
Research on User Experience of Mobile Learning System Based on WeChat

Based on the theory of user experience design,this paper analyzedthe key factors of mobile learning systemuser experience based on WeChat, and with the development practice of "mobile micro-classroom system" it also analyzedthe roles that technology of Responsive Mobile Webpage, OAuth authentication technology, WeChat template message technology, and WeChat JS-SDK technology played in improving the user experience of a mobile learning system. Questionnaires method have been used to analyze the applying effect of the system. In conclusion, the users were satisfied with their experience in mobile learning, and insights in the development of mobile learning systems are also summarized.
Sistem Informasi Penelitian dan Pengabdian Masyarakat di Universitas Mohammad Husni Thamrin

The Institute for Research and Community Service or Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) is an activity institution at the University Mohammad Husni Thamrin (UMHT) which functions to manage all research and community service activities. Every research conducted by lecturers aims to improve their quality in gathering tri dharma values, especially on research and community service. But at this time the processing of research data and community service to the LPPM UMHT has not used a database because the data processing uses excel and data archiving is still in physical form which can make it difficult to find data when the data is needed. Data management by using a database and a special application program is expected to be able to support an information system that is fast and accurate, so that the problem of time and the level of effectiveness in managing research data and community service can be optimized. In addition, the need for information from this institution is needed in a fast and appropriate condition to support the improvement of the quality of lecturers and others in terms of research and community service.
ANALISIS KEMAMPUAN GURU DALAM MELAKUKAN PENGELOLAAN KELAS MENUJU PEMBELAJARAN YANG EFEKTIF

The aim of this study was to describe the teacher’s skill in managing the class. The good class management are able to support the successful of learning process also give the positive influence that is directly supplying the teaching learning process in class. The teacher could manage the class well if mastering the basic concept of managing class, tying to apply the various Approach by the situations, and analyzing the applied Approach. The method of this research was library research, in this case, the writer used books, research report, scientific writing, thesis, encyclopedia, the rules book, the accuracies book, etc. The researcher found that the teacher was able to manage the class well. It can be seen from the aspects of making lesson plan, mattering to manage the class in handling the students, having the ability to conduct the teaching process, having the ability to evaluate the studying results well, showing the positive feeling, also mailing the students experiences becomes meaningful.
FPGA BASED SELF-DRIVING CAR WITH MACHINE VISION BACKGROUND

Advancement in automotive technology has got its attraction due to self-driving and electric vehicles.In this paper we are designing and Prototyping of a Fully Autonomous Car Using Machine Vision with help of Open Computer Vision software library Open CV and Xilinx FPGA.The main aim of our project is to make Fully Autonomous Car using commercially available and reliable Components and Open source Software libraries.This could save huge cost and dependency requirements.In this project we are proposing a system with Computer Vision Deep-learning that make use of a camera along with video processing unit to guide the car and make it a safer option to ride.Images captured by the camera would be sent to the real world with the help of Xilinx FPGA.By using this technology, it is made free from depending on the Custom component manufacturers and also provides a much faster time to the production level.It is very cost saving to user as affordable pricing with additional benefits of safety traffic to public.
Implementation Of Zahir Accounting Version 5.1 In PT Berhasil Beruntung Bersama: Implementation Of Zahir Accounting Version 5.1 In PT Berhasil Beruntung Bersama

In the era of very rapid technological development, every store or company has to implement a computerized information system to create a business system that is more effective, efficient, and produces accurate data. PT Berhasil Beruntung Bersama is one company that still uses an accounting data processing system using Microsoft Excel 2010. With this recording system, problems often occur, including sales of merchandise will be more complicated because they have to calculate the cost of goods manually using the method FIFO (First In First Out), often the difference between recording inventory and goods in warehouse, is more difficult in the process of finding the data needed because it is in the form of documents. Responding to these problems, the authors are interested in conducting research on PT Berhasil Beruntung Bersama where the processing of the data the author uses a computer accounting application that is Zahir Accounting Version 5.1. By using Zahir Accounting, it can be easier for employees to record inventory, search for accounting data and save time and place of storage.
Perancangan Aplikasi Sistem Informasi Akuntansi Laporan Keuangan Menggunakan Microsoft Access 2016 (Studi Kasus Pada CV. Batara Tour & Travel)

This research is intended to design an application of the accounting information system of the financial report on the CV. Batara tour & travel using Microsoft access 2016 that can help in managing and recreating financial statements to be more effective and efficient. The design of the application is done using qualitative research methods with case studies and development approaches. The system development method used is the system development life cycle (SDLC). The data used in the manufacture of this application includes primary and secondary data. CV. Batara tour & travel already had an accounting system, but it was still done by hand. As technology progresses, it needs to compile financial statements to determine the financial condition of the company during a particular period, to assist in the business decision making process. By applying computerized accounting information systems for financial statements, it is hoped that it will make it easier for companies to record accounting to make financial statements effectively and efficiently so that companies can make a business decision.
On the Political Use of the Reportative Conditional in Italian Newspapers

The labels  condizionale riportivo  (reportative conditional) or  condizionale citativo  (quotative conditional) are employed to describe certain uses of the conditional mood in Italian, particularly when the conditional marks the non-firsthand nature of a given piece of information. This use of the conditional is particularly frequent in the language of newspapers. However, reportative conditionals may also carry epistemic overtones, and they are used by speakers when they want to stress that they are not committed to the truthfulness of the information reported. Depending on the context, a reportative conditional can be either a purely evidential marker, or an evidential marker with epistemic overtones. Some Italian (trained) speakers exploit this ambiguity as a strategy to play on the two possible interpretations. This strategy is particularly significant in contexts in which the speaker is supposed to be neutral and, as such, must refrain from expressing her/his epistemic stance when recounting events. In this paper, after an analysis of the different sections of newspapers in which reportative conditionals occur, I will discuss one particular use of reportative conditionals in Italian newspapers, i.e. the “political” use of conditionals. To this end, I will carry out a qualitative analysis of some excerpts from newspapers published between the second half of the 19th century and today. In particular, it will be shown that journalists often take advantage of the ambiguities underlying reportative conditionals in Italian, in order to discredit the political position of a person (or group) without overtly questioning it.
Parsed Categoric Encodings with Automunge

The Automunge open source python library platform for tabular data pre-processing automates feature engineering data transformations of numerical encoding and missing data infill to received tidy data on bases fit to properties of columns in a designated train set for consistent and efficient application to subsequent data pipelines such as for inference, where transformations may be applied to distinct columns in “family tree” sets with generations and branches of derivations. Included in the library of transformations are methods to extract structure from bounded categorical string sets by way of automated string parsing, in which comparisons between entries in the set of unique values are parsed to identify character subset overlaps which may be encoded by appended columns of boolean overlap detection activations or by replacing string entries with identified overlap partitions. Further string parsing options, which may also be applied to unbounded categoric sets, include extraction of numeric substring partitions from entries or search functions to identify presence of specified substring partitions. The aggregation of these methods into “family tree” sets of transformations are demonstrated for use to automatically extract structure from categoric string compositions in relation to the set of entries in a column, such as may be applied to prepare categoric string set encodings for machine learning without human intervention.
중학교 정보 교육과정 변천과 양상 분석 - 제6차에서 2015 개정 교육과정까지 -

This study explored the changes in the middle school informatics curriculum from the 6th national curriculum to the 2015 revised national curriculum based on the context between general guidelines and the subject curriculum review and the subject-centered review. A literature research was carried out on the curriculum documents (general guidelines, subject curriculum and curriculum manuals) for each period, and factors and implications that affect the informatics curriculum were derived. The research subjects were limited to the middle school curriculum because it is a general subject and a single subject that can be examined for identity and system. The results of the study are as follows. The informatics subject began as a computer subject focusing on tool use and practice, and developed into a subject that aimed to cultivate tools-theories-literacy based on computer science since the 2007 revised national curriculum. Factors influencing the informatics curriculum include the definition of the meaning of general guidelines on the subject and organizational changes, social changes and demands, related skills and academic changes, and constructivism. Following carrying out the literature research, we suggest the need to provide a curriculum guide for the informatics subject to provide information for understanding various aspects of the subject and to secure homogeneity and clarity in subject education. The contribution of this study is to provide information for a comprehensive understanding of the information curriculum and to provide a useful perspective for a critical review and implications for future curriculum revision.
대학생들의 전공만족도가 진로준비행동 및 진로결정수준에 미치는 영향: 항공서비스전공 학생들을 중심으로

In this study, the effects of major satisfaction on career preparation behavior and career decision-making level were analyzed. For the sample, the valid samples of 241 were used for the empirical analysis. The analysis results of this study was analyzed using statistical package of SPSS for Window Version 20.0. The results of the hypothesis test were as follows: First, the relationship satisfaction had a significant effect on the information gathering activities and the tool provision activities, while the subject satisfaction and social awareness had an effect on information collection and practical efforts. Second, as a result of verifying the effect of major satisfaction on career decision level, relationship satisfaction, curriculum satisfaction, and social awareness satisfaction were shown in the order. Third, the effect of career readiness on the level of career decision was found to be the information gathering activity on the level of career decision. In this study, it is significant that the students of aviation service major suggested practical implications for improving career preparation behavior and career decision-making.
A NEW AES ARCHITECTURE USING DYNAMIC KEY FOR HIGH SECURITY, LOW POWER AND HIGH-SPEED APPLICATIONS

Advanced Encryption Standard (AES) is the most secured encryption algorithm. It is a block cipher[1] of 128-bit size and key sizes varying from 128,256, and 512 bits. Based on the key sizes, 128, 256, and 512 bit it has 10, 12, and 14 rounds respectively. The stages in AES are add round key, sub byte, shift row, and mix column. As AES being symmetric, the security of the key is questionable and it even consumes highpower.The proposed work is based on creating a dynamic key [11] based on the sequence of the blocks of data. Each block is considered a frame of 16 bytes and sent in a sequential manner. Based on the sequence, the dynamic key is generated by incrementing the 16 bytes of the key by one unit. The individual data frame associated with a key is passed through the AESalgorithm, which generates the Cipher Text and to the receiver.The receiver, based on the order in which the encrypted data is received, will find the key to decrypt thedata.As the number of frames increases, the security will be high because the probability of finding the key will be least. The conventional s-box is replaced with a one-dimensional s-box [7] provides low power and high speed.Simulations and synthesis are done in Xilinx ISE 14.7 version and coding are done in Verilog HDL and the results are obtained on the Xilinx Virtex6 FPGA board.Keywords: Advanced Encryption Standard (AES), Cryptography, DES and Symmetric Key Algorithms.
Rerouting Path Planning Based on MAKLINK Diagram and MS-Genetic Algorithm

Aiming at the problem of global route planning for diversion in a static two-dimensional environment, a route planning method based on MS-genetic algorithm and MAKLINK graph is proposed. The MS algorithm combined with the genetic algorithm is optimized step by step, and take the shortest path optimized by genetic algorithm as the global optimal path. It solves the problem that the traditional algorithm is easily trapped in the local optimal solution in the two-dimensional path planning and can only find the approximate global optimal path. The MAKLINK graph theory is used to establish a two-dimensional space model, and MATLAB is used as the coding software tool to compare and verify the MS-genetic algorithm and the ant colony algorithm in path planning. The experimental results prove the feasibility and effectiveness of the algorithm scheme.
Character Segmentation Technique for Printed and Handwritten Devanagari Script without Extraction of Shirorekha

In India, there is a lot of literature available in the Devanagari script as well as Devanagari is most frequently used for written, oral correspondence and documentation reasons. How correctly the character segmentation of the Devanagari content is done, will ultimately decide the exactness of the OCR process. In this paper, we have proposed the character segmentation strategy along with existence of Shirorekha framed for printed as well as handwritten text written in Marathi language. Several methods utilized for pre-processing the document images like document binarization, skew identification and correction are discussed in this paper. We took vertical projection of the segmented words, compared the pixel count with the automatically calculated threshold and then characters were separated. With the proposed strategy, we have achieved 100 % exactness in line and word segmentation and results accomplished for character segmentation are a lot of encouraging. No standard dataset of Marathi characters is available having upper and lower modifiers. Non-availability of the standard datasets with modifiers is a significant issue in using a deep learning network for perceiving the Devanagari characters. The segmented characters with the presence of Shirorekha can be straightforwardly utilized for developing the deep learning OCR framework.
VLSI Implementation of Bit/Digit Serial-Parallel Finite Field GF (2m) Multiplier Using Standard Basis

A Finite Field is a field with finitely number of elements. It is also known as Galois field in which the elements can take q different values is referred as GF (q).Finite fields are of great interest in applications like Elliptic Curve Cryptography (ECC), error control and coding. In this paper, we present a simple implementation of finite field GF (2 m ) multiplier. Here the main aim is to enhance the vital factors such as area, time complexity, critical path and power. The proposed design is implemented with the finite field accumulator using x-or gates and T-flip-flops. The previous design is even done so that the comparison of the vital factors can be performed. The multiplier structures are implemented using polynomial basis, which is the standard representation and simulated using Xilinx ISE tool version-12.1 and the comparison is performed using Cadence (CAD) tool
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module.

We present an endpoint box regression module(epBRM), which is designed for predicting precise 3D bounding boxes using raw LiDAR 3D point clouds. The proposed epBRM is built with sequence of small networks and is computationally lightweight. Our approach can improve a 3D object detection performance by predicting more precise 3D bounding box coordinates. The proposed approach requires 40 minutes of training to improve the detection performance. Moreover, epBRM imposes less than 12ms to network inference time for up-to 20 objects. The proposed approach utilizes a spatial transformation mechanism to simplify the box regression task. Adopting spatial transformation mechanism into epBRM makes it possible to improve the quality of detection with a small sized network. We conduct in-depth analysis of the effect of various spatial transformation mechanisms applied on raw LiDAR 3D point clouds. We also evaluate the proposed epBRM by applying it to several state-of-the-art 3D object detection systems. We evaluate our approach on KITTI dataset[1], a standard 3D object detection benchmark for autonomous vehicles. The proposed epBRM enhances the overlaps between ground truth bounding boxes and detected bounding boxes, and improves 3D object detection. Our proposed method evaluated in KITTI test server outperforms current state-of-the-art approaches.
Attention Mechanism Based Adversarial Attack Against Deep Reinforcement Learning

Deep reinforcement learning (DRL) aims to maximize long-term future rewards to achieve specific goals by learning polices based on deep learning models. However, existing research has found that machine learning models are vulnerable to maliciously craft adversarial examples, so does the DRL since it uses deep model to learn policies. Usually gradient information is adopted to generate adversarial perturbation on the clean observation states to fail DRL. In order to develop a novel attack method for further defect detection of DRL, we propose a novel attention mechanism based adversarial attack. Instead of gradient information, we make full use of hidden features extracted in the DRL by attention operations to generate more effective adversarial examples. Both channel attention and pixel attention are applied to extract feature to modify the clean state to an adversarial one. Deep Q-Learing Network (DQN), one of the state-of-the-art DRL models, is utilized as the target model to train Flappybird game environment to guarantee continuous running and high success rate. Comprehensive attack experiments are carried out on DQN to testify the attack performance in aspects of reward and loss convergence.