Reviewerly/exHarmony huggingface dataset:
A new approach agent-based for distributing association rules by business to improve decision process in ERP systems

Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable.
From Handpress to Handheld: Rare Book and Special Collections Libraries Forming the Libraries of Instagram

This paper addresses how Instagram serves as a platform to engage a community of librarians, researchers, and bibliophiles. There is a relative lack of research on Instagram and communities of this kind. Focusing on the development of the Libraries ofInstagram community, we consider the importance of hashtag campaigns in generating a community space.The paper also comments on the way the emblematic nature of Instagram posts resonates with the rare book and special collections community.The case of @Jordan_Library, the Instagram account of a Canadian rare book and special collections library, exemplifies the Libraries of Instagram community and the use of Instagram to build community across the cultural heritage sector and beyond.
Low Delay Sparse and Mixed Excitation CELP Coders for Wideband Speech Coding

Code Excited Linear Prediction (CELP) algorithms are proposed for compression of speech in 8 kHz band at switched or variable bit rate and algorithmic delay not exceeding 2 msec. Two structures of Low-Delay CELP coders are analyzed: Low-delay sparse excitation and mixed excitation CELP. Sparse excitation is based on MP-MLQ and multilayer models. Mixed excitation CELP algorithm stems from the narrowband G.728 standard. As opposed to G.728 LD-CELP coder, mixed excitation codebook consists of pseudorandom vectors and sequences obtained with Long-Term Prediction (LTP). Variable rate coding consists in maximizing vector dimension while keeping the required speech quality. Good speech quality (MOS=3.9 according to PESQ algorithm) is obtained at average bit rate 33.5 kbit/sec.
Fuzzy Inferensi System dengan Tsukamoto pada Penilaian Kepuasan Pelangan di Cafe Pasco Pematangsiantar

The development of cafe business is increasingly rapid, demanding that the cafe always create innovations and new concepts that are able to attract more consumers. The main key in attracting consumers in addition to innovation and new concepts is the ability of cafes to provide satisfaction to consumers. The purpose of this research is to find out whether customers are satisfied with the service at Pasco Cafe. The method used in this study is the Fuzzy Tsukamoto method. Data was collected by distributing questionnaires / questionnaires to 150 customers at Cafe Pasco. The variables used to assess satisfaction given by the Cafe to consumers are infrastructure (X), price (Z) and service (Z). Where infrastructure has criteria (complete and incomplete [1; 9]), prices have criteria (cheap, normal and expensive [1; 6; 9]) and services have criteria (satisfied and dissatisfied [2; 9]. example of infrastructure cases has a value of 6 and the price has a value of 5. The results of the assessment of customer satisfaction with service in the Cafe Pasco category satisfied with a value of 5.2462
Upaya Peningkatan Kemampuan Siswa dalam Menggunakan Aplikasi Myob Accounting di SMK Negeri 1 Belitang Madang Raya

Computer accounting is one of the subjects that is an important part of the connection with the industrial revolution 4.0. The development of this era requires teachers and students to be able to carry out learning processes that is oriented to technology that is adapted to the industrial world environment as a target of students' self-development. The perceived benefit of understanding MYOB Accounting is that we can automate bookkeeping in a complete, detailed, and accurate manner. MYOB is easy to understand and learn. Likewise with the functions it has, the explanation is very clear. The field of accounting activities in the current era is developing in the process and implementation. The importance of the skills is possessed by students in preparing for the Competency Examination and preparing for the world of work, this is a reason for the need for appropriate and appropriate learning to hone the abilities of students.
Resources: 3D Printing: Featured Books

This guide contains resources for getting started with 3D printing, learning connections and recommended tools.
ANALYSIS OF ACCOUNTING INFORMATION SYSTEM DISTRIBUTION OF BOP RA FUND (CASE STUDY ON RA PERWANIDA KARANGREJO 02)

The purpose of this study is to analyze the accounting information system of BOP RA funds distribution, the existence of accounting information system in the distribution of funds BOP RA as accounting information system has been run effectively as a provider of information. Analyzing the accounting information system conducted on the distribution of BOP RA funds.&#x0D; This research uses descriptive qualitative method that describes thoroughly to the implementation of accounting information system applied at school RA X and compared with technical guidance as well as theories related to accounting information system, so that it can produce result desired by researcher.&#x0D; The results of this study indicate that the accounting information system channeling BOP RA funds are in conformity with the reference and rules but not yet the formation of flowchart.
IDEOLOGI GENDER KEBAHASAAN PADA NOVEL KARYA SASTRA PENGARANG PEREMPUAN

The novel by female authors often tell about the position of women who appear as symbols of subtlety, and place them in a lower position than men. The purpose of this study is to analyze how the form of linguistic gender ideology in literary novels by female authors and what context triggers gender ideology in novels by literary authors. In this study, researchers focused on this research on the Mills Kritsis Discourse Analysis. This research is a type of qualitative research. The data in this study is sentences that contain linguistic by female authors. Data collection techniques in this study use document recording techniques. Based on the results of data analysis it is known that the form of linguistic gender ideology in literary novels of female authors is dominated by the form of subordination that is 20 data or about (60.53%), while 18 (14.37%) other data leads to stereotypes for readers of literary novels, especially literary works of female authors, to foster interest in preserving literary novels, especially literary novels, especially authors
ANALISIS KESULITAN BAHASA INDONESIA BAGI PEMELAJAR DI SAMSIFL UZBEKISTAN PADA EMPAT KETERAMPILAN BERBAHASA

The difficulties faced by students vary, such as intelligence and non-intelligence factors. This study is to know; (1) what the most difficult language skills, (2) the reasons of students at the difficulties in the language skills, and (3) how the students face their difficulties. The method of this study is descriptive, conducted in ILFS class of English and Translation Program at SAMSIFL (Samarkand State Institute of Foreign Languages) Uzbekistan. The result are listening (61.68), speaking (69.07), writing (71.89), and reading (76.29). Result of questionnaires; students like Indonesian language (85.71%), the Indonesian pronunciation (65.71%), symbols/letters is not different (80.00%), no difficulty in uttering Indonesian language words (77.14%), good and helpful guidance book (91.43%), speaker speaks fast (97.14%), difficulties in listening (94.29%), no difficulty in reading (85.71%), no difficulty in writing (80.00%), difficulty in speaking (71.43%), most liked language skills is reading (57.14%), most hated language skills is listening (94.29%), most difficult language skills is listening (88.57%), easiest language skills is reading (71.43%), and the students’ action facing the difficulties is asking the teacher (85.71%). It is expected that the ILFS teaching concerns on students’ difficulties firstly and give motivation during the teaching process.
Improved Fast Stereo Matching Algorithm Based on Convolutional Neural Networks

Various stereo matching algorithms are widely used in many fields nowadays. In order to solve low speed problem in convolutional neural network for stereo matching algorithms (MC-CNN-fst), an improved stereo matching algorithm based on convolutional neural network was proposed. By modifying pooling layers and normalization layer, the structure of the convolutional neural network has been reformed. Among them, different pooling layers are introduced to retain more image information, and the normalization layer is introduced to accelerate the speed of convergence of training, and finally the disparity map is obtained through subsequent processing steps. To evaluate the performance of the proposed algorithm and the original one under the same experimental environment. We conduct the experiment on two public datasets: KITTI and Middlebury. Experimental results demonstrate that the refinement of the network structure boosts the speed for the feature extraction procedure by 50%, and the total operation time is reduced by 12.5%.
Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
PENERAPAN METODE BERMAIN PERAN DALAM MENGEMBANGKAN KARAKTER DAN KECERDASAN LINGUISTIK PADA SISWA SMP KELAS VIII DI PASRAMAN PURNA LINGGA PONDOK GEDE

This study discusses the learning method using the role playing method in Pasraman with the aim of developing Linguistic character and intelligence. This research was conducted in Pasraman Purna Lingga Pondok Gede. The background of this research is to develop learning methods to vary, because previously in Pasraman Purna Lingga using conventional methods or lecture methods. The lecture method is considered less attractive because students are only silent, listening and easily bored for the writer trying to apply the role playing method, where students participate actively in the learning process. This study uses a qualitative descriptive approach in which the data collection uses interview techniques, observation and documentation in the Purna Lingga Pondok Gede area. From the results of the study using the role playing method that is applied to students of Class VIII Middle School characters in students has developed well, by using simulations through drama scripts students can know and understand the characters that are in the Ramayana story and applied in everyday life. Whereas for linguistic intelligence class VIII students are already good at using language and fluent in talking about knowing the accuracy of intonation, pronunciation, facial expressions and fluent in delivering the drama script. Keywords: Methods of Role Playing, Character, Linguistics
Learning Target-Specific Response Attention for Siamese Network Based Visual Tracking

Recently, the Siamese network based visual tracking methods have shown great potentials in balancing the tracking accuracy and computational efficiency. These methods use two-branch convolutional neural networks (CNNs) to generate a response map between the target exemplar and each of candidate patches in the search region. However, since these methods have not fully exploit the target-specific information contained in the CNN features during the computation of the response map, they are less effective to cope with target appearance variations and background clutters. In this paper, we propose a Target-Specific Response Attention (TSRA) module to enhance the discriminability of these methods. In TSRA, a channel-wise cross-correlation operation is used to produce a multi-channel response map, where different channels correspond to different semantic information. Then, TSRA uses an attention network to dynamically re-weight the multi-channel response map at every frame. Moreover, we introduce a shortcut connection strategy to generate a residual multi-channel response map for more discriminative tracking. Finally, we integrate the proposed TSRA into the classical Siamese based tracker (i.e., SiamFC) to propose a new tracker (called TSRA-Siam). Experimental results on three popular benchmark datasets show that the proposed TSRA-Siam outperforms the baseline tracker (i.e., SiamFC) by a large margin and obtains competitive performance compared with several state-of-the-art trackers.
Pendeteksi Kesamaan Dokumen pada Sistem Informasi Pendaftaran Proposal Skripsi dengan Pendekatan Algoritma Rabin-Karp

Plagiarism is a significant problem in many areas, including universities. plagiarism is usually performed on digital content is to copy-paste of the original document. To anticipate, we need a way to analyze the technique of plagiarism. There are several approaches that can be taken, for example by using a search algorithm Rabin-Karp string because these algorithms can be used to detect plagiarism in a text document. In the testing phase, the test documents used were three documents with similarity level categories of low, medium and high. From some of the testing that has been done, this approach can find the longest quote the same between the two text documents and measure the similarity of text documents. With this system will help prevent acts of plagiarism in the thesis proposal registration so that the absence of the same thesis.&#x0D; Keywords: Plagiarism, Rabin-Karp algorithm, Similarity, Document
Introduction to the Minitrack on Cyber Deception for Defense

Creating a system that is always protected and secure in all situations against all attackers is a far-reaching and likely impossible goal.It is important for researchers to continue to move systems closer towards absolute security, but it is also essential to create techniques so a system can adaptively defend against an attacker who circumvents the current security.Deception for cyber defense approaches this goal-to rebalance the asymmetric nature of computer defense by increasing attacker workload while decreasing that of the defender.
EVALUATION OF THE FUNCTIONAL STATE OF THE ORGANISM ON THE BASIS OF THE DANGEROUS SAFETY CRITERIATITLE OF THE ARTICLE

The paper proposes an approach to the evaluation of the functional state of an organism by evaluating its components. As an integral indicator, it is proposed to use a quantitative indicator of the risk of deviation of the parameters of each subsystem of the organism from the normalized values. To evaluate the functional state of the organism, it is proposed to use a criterion assessment of the risk of deviation from the norm of the constituent subsystems of the organism in order to predict the occurrence of a negative event. It is suggested to use the Jordan function for such estimation based on the results of measurement and measurement control of organism parameters. The function variable is determined on the basis of the results of the experiment and the expert evaluation of the relationship between the results of the measurement of the organism’s parameters and the likelihood of further going beyond tolerance. Determination of the tolerance limit symmetrically relative to the nominal value of the controlled parameter of the organism makes it possible to predict the dependence of the quantitative indicator of the danger of deviation of this parameter from the norm, from the result of its measurement when the controlled parameter is found within the tolerance. The proposed approach makes it possible to formalize the assessment of the functional status of subsystems of the organism as a single component and can be used in analyzing the work of the organism for the purposes of medicine and control of parameters of a biological object for the purpose of complex evaluation. Using this approach allows us to formalize the process of evaluating the body to improve the reliability of decision-making in the tasks of medical direction
Unconstrained face recognition using deep convolution neural network

Different methods have been proposed for face recognition during the past decades that differ essentially on how to determine discriminant facial features for better recognition. Recently, very deep neural networks achieved great success on general object recognition because of their potential in learning capability. This paper presents convolution neural network (CNN)-based architecture for face recognition in unconstrained environment. The proposed architecture is based on a standard architecture of residual network. The recognition performance shows that the proposed framework of CNN achieves the state-of-art performance on publicly available challenging datasets LFW, face94, face95, face96 and Grimace.
Development Material Learning for Writing Poem by using Lotus Technique to 10th grade of Senior High School Students in MAS Tahfizil Qur’an Medan

The aim of this research is to create a teaching material and method in writing poetry using lotus techniques. This research also uses research and development methods. It is research that produces certain products and the effectiveness of their use. The product that will be produced in this research is in the form of poetry writing teaching materials developed with lotus techniques for 10th grade of Senior High School students in MAS Tahfizil Medan. The results of this study indicate that 10th grade students need new methods and teaching materials in improving their understanding in writing poetry. And after testing the lotus technique is very efficient to improve students' ability to write poetry. After the posttest and pretest results the results obtained are the low category by 3.33%, the medium category by 93.34%, and the high category by 3.33%.
Traduzione come conoscenza e rienunciazione

This article is divided in two parts. It first presents a philosophical conception of translation. From a philosophical standpoint, translation may be considered in a broad sense as a process of symbolic transformation endowed with a cognitive value. Translation establishes multi-level relationships. At the semantic level, translation deals with relationships between meanings; at the epistemological level, it deals with relationships between concepts and theories; at the philosophical and ontological level, it brings into play relationships between subjects and cultures. The second part of the article contrasts a semantic conception of translation as recoding of messages with a conception of translation as a re-enunciation of texts. When translating an essayistic text, attention must be paid not to a simple message, but to the conditions of enunciation, to the reference established by the text, to the speech acts realized in statements, to the co-textual and con-textual circumstances.
Pekanbaru City Election Recapitulation Information System uses Input from Telegram API

In the process of the regional head election, there is a recapitulation process for the vote acquisition conducted by the KPPS (Voting Organizers Group) at each TPS (polling station). Where this process usually takes a very long time and also causes a lot of problems. In Pekanbaru City, the information on the recapitulation of the regional head election sent to the candidate pairs or the supporting party was still based on the SMS (Short Message Service) gateway which made the candidate pairs/supporting parties have to do the recapitulation manually again. From these problems, the Pekanbaru City Regional Head Election Recapitulation Information System was built using Inputs from the Telegram API that can solve these problems. From the results of testing the black box on the system by following the ISO 9126-2 standard, the results on each metric have a number of 1 and an average of 1 which means that the system's functions are in accordance with needs and expectations. In performance testing the average delay time when the bot is sent data in the form of images (command /c1) is 4.447 seconds, while when the bot is sent data in the form of text/numbers (commands other than /c1) the average delay time is less than 1.5 seconds. In the user acceptance testing, this information system is very helpful for the candidate pair and the bearer party in conducting vote recapitulation during the regional head election process and also get the results of the recapitulation of votes with detail and realtime.&#x0D;
Pengaruh Minat Belajar terhadap Kemampuan Membaca Bahasa Inggris Siswa

This study aims to determine the effect of interest in learning on the ability to read English Vocational High School students in Depok. The method used was a survey method with a total sample of 40 students taken by random sampling technique from three private vocational schools in Depok. Learning interest data collection uses a questionnaire in the form of a rating scale, while the ability to read English students is presented in the form of a written test with multiple choice questions. Both test instruments are first validated. Data analysis uses two-way analysis of variance (ANAVA) by first testing the normality and homogeneity tests. The results of the study there is a significant influence of interest in learning on the ability to read English students proven by the value of ρ value = 0.024 &lt;0.05. In conclusion, student interest in learning has a significant effect on English reading ability.&#x0D; keywords; English, reading ability, interest in learning
Deiksis Bahasa Jepang dalam Studi Linguistik Pragmatik

Â This paper examines the use of deixis in Japanese. Deixis is one of the language phenomena whose frequency of occurrence in speech activities is many and varied. Basically, there are three types of deixis, namely person, spatial, and time. There are now two additional deixis, social deixis and discourse. This paper attempts to recognize the characteristics of Japanese deixis. With the aim that the data obtained is more varied, the data of this paper does not come from one source, but from various sources on the internet. By using the Pragmatic approach and theories about deixis (Fillmore, 1975; Hasegawa, 2012; Kuno &amp; Kaburaki, 1977; Levinson, 1983; Lyons, 1977; Wetzel, 1988), this paper concludes that social and psychological contexts play a significant role very important in the use of Japanese language deixis. Social deixis and emphatic are central in Japanese deixis studies.
An Approach to Detect Image Forgery by Discrete Wavelet Decomposition

Image forgery or manipulation by using the multimedia technology is becoming a challenging issue. The most common type of image forgery is copy-move forgery where some part of one image is copied and spliced in the other image. In this article, first the images in RGB color space is converted into YCbCr color space and the four-level discrete wavelet transform (DWT) is implemented to detect image forgery. The output of the DWT is further processed by using the image gradient technique for the edge detection of spliced objects. Morphological operation and Wiener filtering are applied for locating the tempered region in the forged image. Sensitivity, specificity and accuracy calculated for spliced images of CASIA datasets are obtained 89%, 86% and 88% respectively.&#x0D;