Reviewerly/exHarmony huggingface dataset:
Online Assessment System in Improving Programming Student Learning

In this work, research aimed to determine the influence of the design and implementation of an online evaluation system for student learning at a university in Lima. An online evaluation system with web technology was designed and implemented that is comprised of supervised and exercise qualification exams, where students answer questions with the optional use of aids that allowed them to improve their results. It was worked with a population of 30 students of the Programming Language I subject to the Systems Engineering degree. The type of research was applied, and the design was quasi-experimental, and an entry test (pre-test) and exit test (post-test) were also applied. Likewise, instruments such as questionnaires, evaluation form, and validity and reliability tests were used in each case that allowed to know the information of the respective work. The results of the hypotheses indicate that there are significant differences in general learning, learning of conceptual, procedural and attitudinal content after applying the Online Evaluation System in the results of the input and output evaluation ( p &lt;0.05) the average of the Post Test being higher ( p = 0.000); therefore, it is concluded that the system improves the evaluation of declarative, procedural and attitudinal learning.
PERANCANGAN DAN PENERAPAN SOSIAL MEDIA SEBAGAI CUSTOMER MANAGEMENT SYSTEM PADA CV SUNTOYO INDONESIA

Abstract:Social media is a web-based communication tool or application that allows its users to interact with each other by sharing or obtaining existing information. Customer Management System is the management of relationships with customers or potential customers, combining customer or prospective customer data, the recording the salesperson’s activities in dealing with customers. The method applied in this research is to analyze the company’s needs. And the results obtained are the application of social media as a customer management system is very useful and important for CV. Suntoyo Indonesia to attract prospective customers and increase customer trust.
Rancang Bangun Sistem Informasi Perkembangan Ternak pada Dinas Peternakan Kabupaten Toli-Toli

This study aims to: (1) design livestock development information systems in the Tolitoli Regency Livestock Services, (2) test and implements livestock development information systems in the Tolitoli Regency Livestock Services, (3) find out the extent of speed and accuracy in processing data with the system manuals and computerized systems at the Tolitoli Regency Livestock Services. The study was conducted at the Animal Husbandry Office of Tolitoli Regency located on Hi street. Mallu No.11 Tolitoli. The data used in this study are secondary data and primary data through direct observation, interviews and literature studies. The system design method uses waterfall and the testing system uses a black box. The results of this study are in the form of livestock development information systems in the Tolitoli Regency Livestock Services, which can facilitate the Tolitoli Regency Livestock Services especially in the field of livestock development in data processing and reporting. This information system provides a service (feature): processing data on farmer groups and livestock development. This information system was built using the Java programming language with the editor (IDE) Netbeans 8, JDK 7, making reports with Jaspersoft iReport and the MySQL database
PERANCANGAN dan IMPLEMENTASI ABSENSI KARYAWAN BERBASIS BIOMETRIC PADA PT. BANGUN SEJAHTERA ABADIJAYA

Abstract:Bangun Sejahtera Abdijaya currently still uses the employee attendance system manually, this has attracted the initiative of researchers to contribute to the use of fingerprints as a biometric-based tool to validate employees to be more effective and efficient. The methodology used to solve these practical problems is applied research, related to the current time we are in the era of the modern world, the use of fingerprints will greatly help companies to validate employees in real-time. This research succeeded in providing many positive impacts where employees as users feel the ease of doing attendance and management can directly monitor how the employee attendance process is by seeing data managed by software in the form of time attendance and employee attendance information so that it is easier to find out employees who are not coming in or getting overtime.
A Game-Theoretic Approach to Achieving Bilateral Privacy-Utility Tradeoff in Spectrum Sharing

In this paper, the problem of privacy-utility tradeoff in a database-driven spectrum sharing system is considered, where both primary users (PUs) and secondary users (SUs) may suffer from location privacy leakage. To protect the location information of both parties, a bilateral privacy preservation mechanism is introduced, in which the privacy-preserving levels are quantified. To tackle the dilemma that a higher privacy level leads to less available spectrum to share and thus reduces the profits of both parties, a game-theoretic approach based on the Stackelberg model is proposed to achieve the tradeoff between the privacy-preserving level and user utility. With the proposed approach, both PUs and SUs can maximize their utilities by adjusting their location privacy to desired levels. Simulation results demonstrate that the proposed approach can effectively increase the utilities for both PUs and SUs in comparison with the privacy preservation mechanism with a fixed privacy level.
Basic Luck Theorems

A great many characteristic features of luck are readily established as demonstrable theorems subject to the understanding that the luck of chancy situations can be assessed quantitatively. This can be done on basis of the Basic Luck Equation to the effect that the quantity of an outcome’s, luck is the difference between its yield and its situation’s expectation:
Distributed Spatial Retrieval and Organization of Massive Ocean Spatiotemporal Data

Marine environmental data field is a kind of high-dimensional and multi variable spatial-temporal data field, which is large-volume, time-varying, multi-format and has strong diversity. Spatiotemporal data is the basis of data browsing and data analysis, so improving the efficiency of retrieval has become a reliable solution to improve the timeliness of processing. Aiming at the organization and spatial retrieval of massive marine spatiotemporal data. Our work was carried out from the following aspects, one is to unify the storage organization and build a data model for ocean spatiotemporal data, the other is to construct distributed spatial data index of ocean spatiotemporal data. Ocean spatiotemporal data model realizes the unified organization modeling of data with different sources, high dimensions, diverse forms, heterogeneous formats and high spatial temporal connection. We describe this model from data sources, collection time and geospatial information. Based on the strategy of data segmentation and spatial region division, two kinds of distributed spatial data retrieval indexes are designed and implemented: single level R-tree spatial distributed data index based on ocean spatiotemporal data fragmentation and multi-level spatial distributed data indexing of R-tree + grid index based on global geospatial partitioning. The experiment results prove that our strategy could effectively minimize the interference of irrelevant data when retrieving, reduce retrieval redundancy, efficiency enhanced the task timeliness of the ocean spatiotemporal data processing platform.
Studi Komparasi Teknik Antara DSLR dan Smartphone Photography

Abstract:The development of smartphone cameras is quite significant lately to make more and more people who learn photography techniques to get photos of smartphone cameras as good as using DLSR cameras. The research aims to compare technical specifications and support applications of DLSR cameras with a smarphone camera. The results showed that a smartphones camera gave advantages to the price, ease of use, while on a DLSR camera had an advantage over the results provided, improved auto Focus Features and multishoot. From the research results researchers recommend using the Canon EOS 1500D Kit EF-S, as a DLSR camera for hobby users, based on features and prices.
Acceptance Research on The Adaptation of Target Audience Personas in Graphic Design

Target Audience Personas (TAP) is a new target audience study method for the graphic design process which adopted from the user personas in information studies. The goal of the TAP is to facilitate graphic designer to understand the behaviour and attitude of their target audience in a more profound level to create design outcomes which can evolve the affordance and behavioural change. Personas allow designer engaged in empathy process whereby they can design according to the needs and preferences of the target audiences. In order to explore the acceptance of designers to the TAP in the design process, acceptance research based on the Technology Acceptance Model (TAM) was conducted. A group of design students who engaged TAP in their design projects has participated in the study. The result showed that majority of the students consider TAP is useful and easy to use. They anticipate using TAP in their future design career endeavour.
A Verification of Pattern-Oriented Healthcare System Using CPN Tool

The Pervasive computing otherwise called Ubiquitous computing is one of the fixed technologies which engage computing with the transmission ability and is flawlessly incorporated by means of the client. The model of pervasive computing consists of Artificial Intelligence, Context-aware Computing, and Human Computing Interface that forms computing towards the development of overall places. The healthcare plus pervasive computing is collectively well-known as Pervasive Healthcare. It concentrates on these technologies and additional ideas that combine healthcare further flawlessly daily life. A framework is proposed for diagnosing the patient and to claim the medical insurance policy for the patient through the pervasive system using architectural patterns. Various architectural patterns are also proposed such as Diagnosis Pattern, Decision Pattern and Reimbursement Pattern. These patterns are compactable; it can be used in other services by modifying according to the use. The structure is then evaluated and analyzed towards the existent-life framework through the Colored Petri net tool.
Case Analysis: Enron; Ethics, Social Responsibility, and Ethical Accounting as Inferior Goods?

In 2001 soon after the Asian Crises of 1997-1998, the Dotcom Bubble, 9/11, the Enron crises triggered a fraud crisis in Wall Street that impacted the market to the core. Since then scandals such as the Lehman Brothers and WorldCom in 2007-2008 and the Great Recession have surpassed it, Enron still remains one of the most important cases of fraudulent accounting. In 2000’s even though the financial industry had become highly regulated, deregulation of the energy industry allowed companies to place bets on future prices. At the peak of the dotcom bubble Enron was named as a star innovator but when the dotcom bubble burst, Enron’s plan to build high speed internet did not flourish and investors started to realize losses. Furthermore, the financial losses of the operations were hid using the market to market accounting technique instead of book value and using special purpose entities to hide debt. The root cause that was identified as a company with a toxic corporate culture focused on officer compensation rather than social responsibility and hence faulty leadership. Is it possible then that; ethical accounting practices, social responsibility and ethics all become inferior goods as income rises in an ‘irrationally exuberant’ era?
A Proposed Model Based on Cloud Computing Technology to Improve Higher Education Institutions Performance

The proliferation of data warehouses and the rise of multimedia, social media and the Internet of Things (IoT) generate an increasing volume of structured semi structured and unstructured data. Towards the investigation of these large volumes of data, big data and data analytics have become emerging research fields, attracting the attention of the academia, industry, and governments. Searcher entrepreneurs, decision-makers, and problem-solvers view ‘big data’ as the tool to revolutionize various industries and sectors, such as business, healthcare, retail research, education and public administration. The Increasing of expenses of storage, retrieving and processing; and the need to secure big data in educational institutions besides the expenses of purchase hardware, software, servers and maintenance that is done periodically, addition to the lack of the highly efficient of enterprise’s resource management and planning. This research focuses on the importance of cloud computing and big data technologies in managing and improving performance in Egyptian higher education institutions. The proposed model avoids the drawbacks of conventional systems. It would be low cost, easy to use, easily accessible, promote social networking.
Near-Black-Box Adversarial Attacks on Graph Neural Networks as An Influence Maximization Problem

Graph neural networks (GNNs) have attracted increasing interests. With broad deployments of GNNs in real-world applications, there is an urgent need for understanding the robustness of GNNs under adversarial attacks, especially in realistic setups. In this work, we study the problem of attacking GNNs in a restricted near-black-box setup, by perturbing the features of a small set of nodes, with no access to model parameters and model predictions. Our formal analysis draws a connection between this type of attacks and an influence maximization problem on the graph. This connection not only enhances our understanding on the problem of adversarial attack on GNNs, but also allows us to propose a group of effective near-black-box attack strategies. Our experiments verify that the proposed strategies significantly degrade the performance of three popular GNN models and outperform baseline adversarial attack strategies.
The Efficacy of the General English Program in Taking Major Related EMCs

The purpose of the study was to investigate how effective the general English program was in students taking major related English Medium Courses (EMCs). The study was conducted at A university and a female Korean professor, a male Native English Speaking Professor (NESP) who taught general English classes and 10 students who had taken general English classes participated. Students expressed difficulties they encountered in taking major-related EMCs through structured interviews and discussion sessions with professors and documents review were also carried out to understand how general English was taught and its efficacy in taking major related EMCs. The results revealed that students had a hard time in reading and listening to major-related terminology, writing a paper and expressing their ideas and opinions in spoken language. Unlike the aim of general education, the general English program did not play an effective role in students taking major-related EMCs because half of the English program was taught in a discrete way.
Place Your Bets: Will Machine Learning Outgrow Human Labeling?

The AI Bookie column documents highlights from AI Bets, an online forum for the creation of adjudicatable predictions and bets about the future of artificial intelligence. Although it is easy to make a prediction about the future, this forum was created to help researchers craft predictions whose accuracy can be clearly and unambiguously judged when a prediction comes due. The bets will be documented online and regularly in this publication in The AI Bookie. We encourage bets that are rigorously and scientifically argued. We discourage bets that are too general to be evaluated or too specific to an institution or individual. The goal is not to continue to feed the media frenzy and pundit predictions about artificial intelligence, but rather to curate and promote bets whose outcomes will provide useful feedback to the scientific community. Place your bets! Please go to ai.sciencebets.org .
MEMS Latest Generation Digital Sensors - a Decisive Step in the Transition to Full Digital Data Recording

Summary The quick development of broadband and high-density seismic acquisition methods is due to their recognition as effective means for acquiring datasets that prove rich enough not only to dramatically improve the seismic imaging, but also the overall reservoir characterization. Receiver arrays are progressively suppressed to preserve high-frequency signal, limit equipment inventory and facilitate its handling on the field. Single receiver / single source technologies are increasingly used. Full digital recording offers valuable high-fidelity seismic signal and provides an attractive platform for the industry transition towards higher trace densities and point receiver acquisitions. The prerequisites for the creation of end-to-end digital seismic recording channels have long been ripe. Analogs of similar transformations from other industries (telephony, sound recording, television, radio communication, etc.) tell us that the transition to the digit of the entire end-to-end recording path is possible and economically justified at the current stage of technological development of electronics. The present abstract provides an overview of MEMS sensor technology since the early 2000s, its advantages over geophone technology, analysis of the practice of using MEMS in seismic. The reasons for some conservative attitude towards MEMS over the past 15 years and prospects for further development will be discussed as well.
Trajectory Generation From Paths for Autonomous Ground Vehicles

Abstract Path-to-trajectory conversion problem for car-like autonomous ground vehicles has been studied in various ways. It is challenging to generate a trajectory which is dynamically feasible for the vehicle and comfortable for the passengers. An important practical concern of low computational costs makes the problem even more difficult. In this work, a path-to-trajectory converter is developed using a novel receding-horizon type suboptimal algorithm. By transforming the dynamic constraints to a longitudinal velocity limit function in the velocity-acceleration phase plane, a time-sub-optimal trajectory satisfying the dynamic constraints and the initial boundary condition is generated by computing the maximum constant acceleration in the down-range horizon. The portion of the trajectory approaching the end of the path is generated in reverse time. As illustrated by some simulation results and validation on a full-scale Kia Soul EV, the proposed path-to-trajectory conversion algorithm is able to account for dynamic constraints of the vehicle and guarantees passenger comfort.
Institucionalização e trajetórias dos arquivos pessoais no Brasil

The article covers the development of institutionalization of personal archives in the Brazilian archival scenario by means of the analysis of processes from three custodial institutions: IEB, Cpdoc and Mast. Administrative processes of collection incorporation were analyzed from the date of their foundations until 1999, with the aim of capturing the method of the selection practiced by the institutions before their collection policies were published.
Perancangan Video Animasi Tentang Proses Pengembangan Video Game

The process of developing video game is not an easy task. Mistakes often occur due to lack of understanding within the development subject itself. This research is aimed to inform audience interested in the process of creating video game from the beginning to its completion using animated video through Moho Studio. With MDLC method, we have yielded result in a form of animated video detailing the steps of developing video game. The result has notable effect on improving the knowledge of readers or audience with interest in video game development.
Use of Expert Systems to identify the right strategy to be used in organizations

Expert systems are computer systems that help the computers to make decisions based on a pre-requisite knowledge database. For a competitive advantage, marketing plays an important role. Environment changes needs to be monitored and necessary changes are to be made in an organization. An efficient knowledge management system is required to acquire, store and retrieve the knowledge when needed (Moradi et al., 2013). When these systems acquire knowledge from several sources rather than from a single source, such systems are knowledge-based systems (Luconi et al., 1986).
REP-Model: A deep learning framework for replacing ad billboards in soccer videos

In this paper, we propose a novel framework for replacing advertisement contents in soccer videos with an automatic way by using deep learning strategies. We begin by applying UNET (an image segmentation convolutional neural network technique) for content segmentation and detection. Subsequently, after reconstructing the segmented content in the video frames (considering the apparent loss in detection), we will replace the unwanted content by new one using a homography mapping procedure. Furthermore, the replacement key points in each frame will be tracked into the next frames considering the camera zoom-in and zoom-out controlling. Since the movement of objects in video can disrupt the alignment between frames and correspondingly make the homography matrix calculation erroneous, we use Mask R-CNN to mask and remove the moving objects from the scene. Such framework is denominated as REP-Model which stands for a replacing model.
Ontology matching for the laboratory analytics domain.

The Pistoia Alliance Ontologies Mapping Project has applied the Ontology Matching algorithm, Paxo to the laboratory analytics domain. Nine ontologies relevant to laboratory analytics were selected. Among all possible pair combinations, thirteen of Paxo’s computed mapping sets were selected for evaluation through comparison with a silver standard alignment generated from the consensus votes of a panel of systems participating in the OAEI campaign.