Reviewerly/exHarmony huggingface dataset:
Credit Card Fraud Detection using Machine Learning Framework

Nowaday’s online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data. Machine Learninghas also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a big problem, it becomes challenging due to two major reasons–first, the profiles of normal and fraudulent behaviors change frequently and secondly due to reason that credit card fraud data sets are highly skewed. This paper research and checks the performance of Random Forest on highly skewed credit card fraud data. Dataset of credit card transactions is sourced from European cardholders containing 1 lakh transactions. These techniques are applied on the raw and pre-processed data. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision.
PERSONNEL ATTENDANCE SYSTEM USING AN IOT-BASED FINGERPRINT (INTERNET OF THINGS)

Attendance system in an institution is very important to implement. In fact, an attendance is a gauge of how performance, discipline, job achievement, salary/wages, and productivity of an employee, as well as general progress of the agency. Especially for agencies that have employees of ASN (State civil apparatus), attendance systems must be held to evaluate how ASN responsibilities to the legislation explaining the ASN. Thus, the creation of personnel attendance system using an IOT-based fingerprint (Internet Of Things), is a way of producing an appropriate and effective attendance device for ASN employees in an institution. The attendance device has the advantage of using the fingerprints of each employee in the process of the system, making it very effective to implement. In addition, the attendance process will automatically enter the employee data that does the attendance to the database, then can be accessed by the Web dashboard Using THE media Rest API. The creation of attendance device implements Scrum method, because this method is effectively applied in the creation of group projects. An evaluation of the device's performance was carried out using the SUS (System Usability Scale) method and resulted in a score of 75 out of 31 respondents. The rating is stated in the Good category and is suitable for use based on the results of the evaluation.
PENGARUH PENGGUNAAN STRATEGI GALLERY WALK TERHADAP PEMAHAMAN MEMBACA SISWA KELAS DUA DI SMP MUHAMMADIYAH 1 PEKANBARU

The research was aimed to find out the effect of gallery walk strategy toward reading comprehension of the second year students of SMP Muhammadiyah 1 Pekanbaru. The design of this research was quasi-experimental research with an experimental group and control group pre-test and post-test. These two groups were selected to be a sample by using cluster random sampling. The data were analyzed by using t-test formula. It was found that t-test score was 2.351 while the t-table was 2.001. Since t-test score was higher than t-table, it can be concluded that alternative hypothesis was accepted. It means that there is a significant effect of gallery walk strategy on reading comprehension of the second year students of SMP Muhammadiyah 1 Pekanbaru.
Utilization of Computational Fluid Dynamics andComputational Engineering Techniques in MechanicalEngineering Streams

In this paper, we focus on the importance of using computational engineering techniques as well ascomputational fluid dynamics techniques for better results in mechanical engineering streams at undergraduate level. Thisis important, as the new breed of engineers need to be well versed in computational engineering techniques since the days ofusing a paper and pencil for designing are long over. Nowadays, the most important tool for an engineer is the computerand the various computational software and techniques that is associated with it. This paper will emphasize the importanceof computational engineering education at undergraduate level and it will be demonstrated from examples from variousmechanical engineering streams.
Counting Distinct Patterns in Internal Dictionary Matching.

We consider the problem of preprocessing a text $T$ of length $n$ and a dictionary $\mathcal{D}$ in order to be able to efficiently answer queries $CountDistinct(i,j)$, that is, given $i$ and $j$ return the number of patterns from $\mathcal{D}$ that occur in the fragment $T[i \mathinner{.\,.} j]$. The dictionary is internal in the sense that each pattern in $\mathcal{D}$ is given as a fragment of $T$. This way, the dictionary takes space proportional to the number of patterns $d=|\mathcal{D}|$ rather than their total length, which could be $\Theta(n\cdot d)$. An $\tilde{\mathcal{O}}(n+d)$-size data structure that answers $CountDistinct(i,j)$ queries $\mathcal{O}(\log n)$-approximately in $\tilde{\mathcal{O}}(1)$ time was recently proposed in a work that introduced internal dictionary matching [ISAAC 2019]. Here we present an $\tilde{\mathcal{O}}(n+d)$-size data structure that answers $CountDistinct(i,j)$ queries $2$-approximately in $\tilde{\mathcal{O}}(1)$ time. Using range queries, for any $m$, we give an $\tilde{\mathcal{O}}(\min(nd/m,n^2/m^2)+d)$-size data structure that answers $CountDistinct(i,j)$ queries exactly in $\tilde{\mathcal{O}}(m)$ time. We also consider the special case when the dictionary consists of all square factors of the string. We design an $\mathcal{O}(n \log^2 n)$-size data structure that allows us to count distinct squares in a text fragment $T[i \mathinner{.\,.} j]$ in $\mathcal{O}(\log n)$ time.
A Survey on Efficient Block Chain Authentication Scheme Based on Electronic Health Records

With the quick selection of the Cloud-based Electronic Health Record ( EHR) frameworks, health providers are particularly concerned about overseeing cloud-based information protection. Current methodologies either have a flexibility bottleneck requiring patients to accept each sharing of their clinical details or a confidence bottleneck by providing a sole power control of each entry, thus increasing the issue of a single intention of attack. The exchange of electronic health records ( EHRs) has a very good centrality for infection studies and the commitment of specialists Lately, a cloud-based electronic health record sharing program has offered a range of conveniences, but cloud centralization unfailingly opens up risks to information security and safety. Blockchain innovation can be seen as a positive solution to addressing these issues by virtue of its one kind of decentralization, namelessness, unforgeability, and unquestionable status.
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device.

Recent years NLP research has witnessed the record-breaking accuracy improvement by DNN models. However, power consumption is one of the practical concerns for deploying NLP systems. Most of the current state-of-the-art algorithms are implemented on GPUs, which is not power-efficient and the deployment cost is also very high. On the other hand, CNN Domain Specific Accelerator (CNN-DSA) has been in mass production providing low-power and low cost computation power. In this paper, we will implement the Super Characters method on the CNN-DSA. In addition, we modify the Super Characters method to utilize the multi-modal data, i.e. text plus tabular data in the CL-Aff sharedtask.
Generative Smoke Removal

In minimally invasive surgery, the use of tissue dissection tools causes smoke, which inevitably degrades the image quality. This could reduce the visibility of the operation field for surgeons and introduces errors for the computer vision algorithms used in surgical navigation systems. In this paper, we propose a novel approach for computational smoke removal using supervised image-to-image translation. We demonstrate that straightforward application of existing generative algorithms allows removing smoke but decreases image quality and introduces synthetic noise (grid-structure). Thus, we propose to solve this issue by modification of GAN's architecture and adding perceptual image quality metric to the loss function. Obtained results demonstrate that proposed method efficiently removes smoke as well as preserves perceptually sufficient image quality.
SISTEM PENGENDALIAN INTERNAL (Studi Kasus Pada Badan Usaha Non Akademik (BUNA) Universitas Brawijaya)

This research aims to understand the implementation of internal control system at a non-academic business entity or Badan Usaha Non Akademik (BUNA) of Brawijaya University. This internal control is indispensable to reasonable and confident acquisition of the information presented from a particular financial report. This research is also expected to help the business entity evaluate the implementation of internal control system to allow the management to develop and realize such effective and efficient solutions over possible risks and weaknesses This descriptive research employs qualitative approach, and applies four methods of data collection: observation, interview, documentation, and literature study method. This research reveals that BUNA has a good internal control thanks to the following indicators: (1) separation of each authority and responsibility, (2) periodical performance evaluation, (3) official authorization, (4) high esteem integrity and ethics value, (5) adequate control on data security, which referred to ID and password on certain divisions who access the computer, (6) Fast response to overcome risks, (7) routine evaluation exerted by internal auditor and external auditor. Whist, meeting minutes are always absent on every meeting. Keywords: Internal Control, BUNA UB, Internal Audit, Performance Appraisal, Evaluation
Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan

This paper details technologies and artistic approaches to crowd-driven music, discussed in the context of a live public installation in which activity in a public space (e.g. a busy railway platform) is used to drive the automated composition and performance of music. The approach presented uses realtime machine vision applied to a live video feed of a scene, from which detected objects and people are fed into Manhattan (Nash, 2014), a digital music notation that integrates sequencing and programming to support the live creation of complex musical works that combine static, algorithmic, and interactive elements. The paper discusses the technical details of the system and artistic development of specific musical works, introducing novel techniques to mapping chaotic systems to musical expression and exploring issues of agency, aesthetic, accessibility, and adaptability relating to composing interactive music for crowds and public spaces. In particular, performances as part of an installation for BBC Music Day 2018 are described. The paper subsequently details a practical workshop in crowd-driven music, delivered digitally, exploring the development of interactive performances in which the audience or general public actively or passively control live generation of a musical piece. Exercises support discussions on technical, aesthetic, and ontological issues arising from the identification and mapping of structure, order, and meaning in non-musical domains to analogous concepts in musical expression. Materials for the workshop are available freely within the Manhattan software.
Lower Bounds for Linear Decision Lists.

We demonstrate a lower bound technique for linear decision lists, which are decision lists where the queries are arbitrary linear threshold functions. We use this technique to prove an explicit lower bound by showing that any linear decision list computing the function $MAJ \circ XOR$ requires size $2^{0.18 n}$. This completely answers an open question of Tur{a}n and Vatan [FoCM'97]. We also show that the spectral classes $PL_1, PL_\infty$, and the polynomial threshold function classes $\widehat{PT}_1, PT_1$, are incomparable to linear decision lists.
Improvement Teacher Skills in Archiving Letters through Mentoring E-Archive Learning Media

Abstract&#x0D; &#x0D; Curriculum years 2013 on administration program offices, there are competence Archive electronically (e-filing). Capaiannya very clear, that it now required the management of electronic archives. Electronic media in the management of the archives will be obtained benefits of speed, convenience and cost-efficient. The intent here is to speed through the use of electronic media in the management of the archives. The results of the activities of the training and mentoring of the learning model of e-filing is the average of the results of the respondents stating that 92% of the material provided in this training is very important and as much as 90% of the e-filing training participants hope can apply innovation in learning in a class of one e-filing into a medium of instruction.&#x0D; Keyword: e-filing, pedagogy teacher, excellent service
Practice of training support for young craftspeople in the Kyoto wire netting

Young craftspeople checked the awareness of everyday operation to make Kyoto wire netting.The awareness is very useful to improve the young craftspeople with comfirming the expert.In previous research, we have been analyzed three dimensional motion and eye tracking of making the wire netting by craftspeople.Moreover we measured detail motion of fingers by using the super slow camera.In this study, we worked on training support for skill up of young craftspeople based on these analyzing data and the awareness data.
The Impact of Improper Indentation on Code Comprehensibility

This study uses eye-tracking and time measuring to examine if improperly indented code affects code comprehension in Java source code. The study was divided into three different phases of testing, ...
A Gentzen-Style Monadic Translation of Gödel's System T.

We introduce a syntactic translation of Godel’s System 𝖳 parametrized by a weak notion of a monad, and prove a corresponding fundamental theorem of logical relation. Our translation structurally corresponds to Gentzen’s negative translation of classical logic. By instantiating the monad and the logical relation, we reveal the well-known properties and structures of 𝖳-definable functionals including majorizability, continuity and bar recursion. Our development has been formalized in the Agda proof assistant.
Data Normality Detection Using the Graph Method

The main purpose of this research is to offer a normality test using the graph method. The steps taken by the researcher are conducting a literature study on the normality test of the data. Look for the advantages and disadvantages of each method and compare with other graphics methods such as QQ-Plot and PP-Plot. The last step is to simulate data using the proposed method and then compare the results with other methods and draw conclusions from the results obtained.From the results of the literature study, we found a way to test data only by looking at the graph. The graph that appears when testing the data has three lines. The graph that appears when testing the data has three lines. They are upper, middle and bottom lines.If all data entered in the upper and lower boundary environment, it can be concluded that the data is normally distributed. Using this method, the normal detection of data can be seen only through a graph and the results are more accurate than the Kolmogorov-Smirnov method is some cases.
DEVELOPING AN ANDROID-BASED RUNNING APPLICATION

There are many types of exercise that people do to achieve healthy lifestyle and one of them is running. Runners track their activities to know their progress and help them achieve their goals. One of the alternatives to monitor is through a fitness application which has also become a platform for runners to connect with their friends. As a running shoes manufacturer, XYZ Company wanted to help runners monitor their time, distance, pace, and calories burned while running. In addition, the company also wanted to support the running communities to grow bigger. This thesis project aimed at developing an Android-based application that provides feedback on usersÂ activities while they are running, as well as features that lets them connect with their friends. Moreover, users are also able to schedule a run, compute their heart rate, and run with their friends. The application was developed using Java and utilized Google Maps API and Firebase. An application unit testing as well as unit acceptance testing both to users and client were performed to ensure that the application functions properly. The testing showed a satisfactory result and several recommendations for future development were also proposed. To conclude, the application was able to deliver all the clientÂs requirement and achieve the aim of this thesis project.
The Role of Simulation Technique in Development of the system of Critical Thinking Forming of Future Teachers of Primary School

The concept of simulation and model are thoroughly considered in the article. On the basis of analysis of scientific literature it is identified that simulation is the technique of intermediated study of phenomena and objects and it is directly connected with the definition "pedagogical simulation". It is marked that simulation is based on the concept of "model". Determination of this concept is thoroughly exposed in dictionaries (definition and philosophical) and also in scientific researches (К.&nbsp;Bataroiev, S.&nbsp;Honcharenko, О.&nbsp;Dakhin, І.&nbsp;Kulchytskyi, P.&nbsp;Sikorskyi, D.&nbsp;Stechenko, H.&nbsp;Shandryhos, V.&nbsp;Shtoff). It is made the conclusion that the analysis of concept determinations of "model" brings us to such generalizations: model is an artificially made pattern for something; model has a characteristic of the system; because of the analysis of the system determination of information becomes possible about its elements and acquiring of new knowledge about the investigated object. It is presented the classification by the method of model implementation (after А.&nbsp;Viedienov). The traditional components of the model of professional preparation of future teachers are exposed. Attention is accented on the point that simulation as a method plays a key role in development of the system of critical thinking forming in the process of professional preparation of future teachers of primary school.
Nai Talim: An Application of Experiential Learning Activity to enhance Attitude of School Students towards Science

Nai Talim is the ultimate way of learning with skill acquisition, gaining knowledge, and learning with practical application.  Nai Talim based activity is used to improve the attitude of students towards science.  The aim of the present paper is to study the attitude of secondary school students' attitudes towards science. The research design applied is quasi-experiment. The non-equivalent pre-test, post-test control designs are applied for the present study. The two-section of class 8th participated in the present study. The Control group consists of 40 students while the experimental group consists of 41 students.  Data is collected by using attitude scale consisting 18 questions.  The result of the study reveals that experiential learning-based activity on curriculum may develop a positive attitude towards science.
LibGuides: Subscription Cancellations & Additions: Fiscal Year 2021-2022

This guide provides information on The University of Toledo Libraries' annual subscription cancellations and additions.
Automatic Curricula in Deep Multi-Agent Reinforc ement Learning

Multi-agent systems are emerging as a crucial element in our pursuit of designing and building intelligent systems. In order to succeed in the real world artificial agents must be able to cooperate, communicate, and reason about other agents' beliefs, intentions and behaviours. Furthermore, as system designers we need to think about composing intelligent systems from intelligent subsystems, a multi-agent approach inspired by the observation that intelligent agents like organisations or governments are composed of other agents. Last but not least, as a product of evolution intelligence did not emerge in isolation, but as a group phenomenon. Hence, it seems plausible that learning agents require interaction with other agents to develop intelligence. In his talk, he will discuss the exciting role that deep multi-agent reinforcement learning can play in the design and training of intelligent agents. In particular, training RL agents in interaction with each other can lead to the emergence of an automatic learning curriculum: From the perspective of each learning agent, the evolving behaviours of the other learning agents constitute a challenging environment dynamics and pose ever evolving tasks. He will present three case studies of deep multi-agent RL with auto-curricula: (i)~Learning to play board games at master level with AlphaZero, (ii)~Learning to play the game of Capture-The-Flag in 3d environments, and (iii)~Learning to cooperate in social dilemmas.
A Novel Approach for Searching an Element in a Sorted Array – Log Search

In computer science, various searching algorithms are available.We choose among them according to the situation.There are some efficient searching algorithms like Binary Search, Jump Search etc.In this paper a new searching algorithm which tracks the key element faster in some cases is proposed.This algorithm is Log Search.This algorithm only works for a sorted array.This algorithm searches the key element in a sub-array of the full array.If there is no possibility to find the key element, it will try to find out the next sub-array.If there is a possibility to find it to that sub-array, then it will recursively do the same thing.
Implementasi Pendekatan Saintifik-DiscoveryLearning dalam Pembelajaran Struktur Teks Eksposisi Siswa Kelas X MM1 SMKN 8 Surabaya

In the Indonesian language curriculum that is used in the X MM Vocational School there is one of the basic competencies related to analyzing the structure and language of the exposition text. To understand the material to students, in the implementation of learning using a scientific-discovery learning approach. Based on the implementation of the scientific-discovery learning approach in learning the exposition text structure of class X MM1 students of SMKN 8 Surabaya, it can be concluded as follows. The application of the scientific approach to discovery learning model learning in exposition structure learning materials in class X MM1 students of SMKN 8 Surabaya shows the activities of students who are very good, very enthusiastic, and have the ability to think critically as expected in a constructivist learning paradigm. The level of mastery learning of students is 94.28% of students who achieve mastery individually.
A Low Cost Hardware Based Fall Detection and Call for Help System for Elderly Person

Context: Aging is common for a Human being. Especially an old aged person needs attention due to weakening in their physical capability. Fall is one of the major problems faced by elderly persons during their daily day activities. Falls are caused due to accident, loss of consciousness. Fall poses a serious impact on health issues of an elderly person. Fall detection is one of the necessary actions to be taken. So the fall detection system is needed. Thereby here the development of the system includes methodology based on sensor-video integration technology. The event of fall occurrence can be detected using the sensor as well as the camera and the acquired information is sent as messages and live video feed to the user in case of emergency through making use of Wi-Fi technology.