Reviewerly/exHarmony huggingface dataset:
Definition of a Prototype for Performing Computer Audits in a Public Organization of Ecuador

The development of a prototype of computer audits has become more important for the administration and auditors of public companies. In this study, crucial control elements were explored to meet the safety conditions that a public company must have; In addition to the development of a computer audit prototype based on recognized control elements and validate the applicability of the prototype through the use of a model to meet the needs of a public organization in Ecuador. The general objective of this research was to develop a computer audit protocol, for this a method was used in a Cryptographic Algorithm, giving as a better option for its understanding a flow chart with the encryption processes that resulted in vulnerability mitigation. within the access to information. In the experimental aspect, studies were conducted based on the evaluation criteria of ISO / IEC 9126 software, the result of which showed that the prototype can provide the internal audit staff of the public institution and its external auditors with a simple, continuous, timely and appropriate analysis. analytical, which can help quickly and effectively detect organizational control problems. This study can contribute to the development of a sufficient and manageable computer audit system, and provide future researchers and companies with guidance in this thematic area. Given the diversity of IT (Information Technology), within such a document it is not possible to be specific about computer auditing in particular sectors or in relation to specific hardware or software.
EVALUASI KEPUASAN PENGGUNA SISTEM INFORMASI MANAJEMEN RUMAH SAKIT MENGGUNAKAN METODE EUCS DI RSUD UNGARAN

Information system evaluation is a process to explore and find out, about the extent to which an information system implementation activities,both from perspective of users, organizations, and in terms of information systems technology (Hakam, 2016). Hospital Management Information System (SIMRS) is a communication information technology system that processes and integrates the entire flow hospital service in the from of a network of coordination, reporting and administrative procedures to obtain accurate and accurate information (Permenkes, 2013). This study aims to determine the level of satisfaction of SIMRS users at Ungaran Regional General Hospital (RSUD) based on End User Computing Satisfaction (EUCS) method.This research method is a quantitative method using questionnaires to respondents. The population in this study were all Ungaran District Hospital employees who used SIMRS. Based on this population 40 people werw chosen to be sampled. Samplig as carried out using the Simple Random Sampling technique. Data analysis using the Statistical Product and Service Solutions (SPSS) program 26. Suggestions in this research are Ungaran District Hospital to improve SIMRS in terms of timeliness.
Floating Hierarchical Menus for Swipe-Based Navigation on Touchscreen Mobile Devices

In this paper, we present two menu implementations that allow swipe-based navigation through deep hierarchical menu configurations. Instead of utilizing repetitive tap-based selections, the proposed interaction relies on continuous finger movement across different submenus. The menus are implemented as a service; hence they can easily be attached to the target mobile application and visualized as a semi-transparent floating widget on top of it. Similar to the marking menu concept, the provided designs also enable a smooth transition from novice to expert user, as swipe gestures used for menu item selections can be memorized and subsequently executed faster. Both menus initially act as a floating action button, allowing the user to change its location by dragging it to the preferred place on the screen. Visualization of the menu starts in this pivotal position, according to the utilized design: Tile menu or Pie menu. The Tile menu uses a linear scheme and dynamically occupies more screen real-estate when a submenu is triggered. On the other hand, the Pie menu is displayed as a circular widget without extra containers and uses touch-dwelling for submenu invocation. Implementations of the proposed menu designs are evaluated and comparatively analyzed by conducting a controlled experiment involving 30 participants. We present the results of this empirical research, specifically focusing on menu navigation efficiency in two different contexts of use, the related interaction workload, and usability attributes.
Improving News Personalization Through Search Logs

Content personalization is a long-standing problem for online news services. In most personalization approaches users are represented by topical interest profiles that are matched with news articles in order to properly decide which articles are to be recommended. When constructing user profiles, existing personalization methods exploit the user activity observed within the news service itself without incorporating information from other sources. In this paper we study the problem of news personalization by leveraging usage information that is external to the news service. We propose a novel approach that relies on the concept of “search profiles”, which are user profiles that are built based on the past interactions of the user with a web search engine. We extensively test our proposal on real-world datasets obtained from Yahoo. We explore various dimensions and granularities at which search profiles can be built. Experimental results show that, compared to a basic strategy that does not exploit the search activity of users, our approach is able to boost the clicks on news articles shown at the top positions of a ranked result list.
Declarative Knowledge Extraction in the AC&amp;NL Tutor

Automatic knowledge acquisition is a rather complex and challenging task. This paper focuses on the description and evaluation of a semi-automatic authoring tool (SAAT) that has been developed as a part of the Adaptive Courseware based on Natural Language AC&NL Tutor project. The SAAT analyzes a natural language text and, as a result of the declarative knowledge extraction process, it generates domain knowledge that is presented in a form of natural language sentences, questions and domain knowledge graphs. Generated domain knowledge presents expert knowledge in the intelligent tutoring system Tutomat. The natural language processing techniques are applied and the tool’s functionalities are thoroughly explained. This tool is, to our knowledge, the only one that enables natural language question and sentence generation of different levels of complexity. Using an unstructured and unprocessed Wikipedia text in computer science, evaluation of domain knowledge extraction algorithm, i.e. the correctness of extraction outcomes and the effectiveness of extraction methods, was performed. The SAAT outputs were compared with the gold standard, manually developed by two experts. The results showed that 68.7% of detected errors referred to the performance of the integrated linguistic resources, such as CoreNLP, Senna, WordNet, whereas 31.3% of errors referred to the proposed extraction algorithms.
Proposal and Evaluation of Contribution Value Model for Creation Support System

Participants in projects creating new products and services start discussions by formulating a concept or by posing questions. They should exhibit creativity and propose diverse ideas as much as possible. Supporting the connectivity of information and motivation improvement is important to support the creation. Moreover, participants who feel they are meaningfully contributing to the project are usually more motivated. Therefore, in this paper, we propose an evaluation model that visualizes the degree of contribution of each participant as a contribution value when the project reaches points that require creativity to move forward. Through this model, one’s own ideas and opinions can be visualized as a chronological contribution value throughout the course of discussions. By visualizing the progress of the discussions as a contribution value through determining the system functions, we found that the motivation support function of the participants worked correctly to contribute to the project and to other discussions. In the future, we plan to have the participants actually use this system to demonstrate its effectiveness.
The Simplification Conspiracy

We study in a quantitative way the efficacy of a social intelligence scheme that is an extension of Extreme Learning Machine paradigm. The key question we investigate is whether and how a collection of elementary learning parcels can replace a single algorithm that is well suited to learn a relatively complex function. Per se, the question is definitely not new, as it can be met in various fields ranging from social networks to bio-informatics. We use a well known benchmark as a touchstone to contribute its answer with both theoretical and numerical considerations.
Experiencing the Conditions of Trust: A Practice-Based Exploration of Trust Formation Through an Artificial Society Environment

Blockchain systems promise to establish novel patterns of interaction within the spheres of commerce, governance, politics, and art. They allow for novel practices of contract formation, facilitating transactions in a quick, transparent, and verifiable manner. Their ability to establish self-enforcing smart contracts would likely lead to fundamental changes within everyday interpersonal interactions. Specifically, it would likely upend the position of trust within existing social practices. In this paper, we explore this problematic through the medium of generative art, embedded into a practice-based research strategy. The approach employs artificial societies as generative readymades which ground and inform practices of speculative design.
Security for mobile edge cloud

In this chapter, we focus on network security mechanisms for Mobile Edge Clouds. We use ComNetsEmu to demonstrate how to realize access control, confidentiality, and integrity using packet filters and secure network tunnels. The difference to traditional networks is that edge cloud networks require low latency while being connected to a large number of parties. However, the core concepts of packet filters and secure network tunnels remain the same.
HUSH app: digital tools to explore the natural patrimony of urban areas

Abstract In recent years, urban trekking and geotourism have gained relevance in the tourism industry. This has been accompanied by an increasing use of digital tools and techniques for developing immersive touristic experiences. The HUSH project aim is to enhance and disseminate the scientific and naturalistic heritage of urban areas by means of a mobile application. The naturalistic and geological components with relevant scientific value are first identified and tagged as Points of Interest (POIs). Then, high quality multimedia contents are created for each of them. Using the HUSH app and implementing Augmented Reality techniques, users can explore these contents by framing the POIs with their device. They can decide which POIs they want to visit by using keyword-search, by selecting a predefined path or by means of ‘intelligent search’, which applies data mining techniques to users’ data. Moreover, they can propose the addition of new POIs by using the Scientific Reporter tool and rate POIs they visit.
Improving Static Characteristics of Infrared Sensor using Soft Computing Techniques

This paper presents the design of an efficient soft computing technique for increasing the accuracy of the Infrared Sensor, by using the Support Vector Machines (SVM) and Neural Networks (NN). The analysis for SVM was done with different functions available and the results are presented. For Neural Networks, the analysis was done with different member functions and different number of. To determine the appropriate model, the model with minimum Root Mean square Error (RMSE) and Mean Absolute Percentage Error (MAPE) when compared with the sensor's measurements were selected. The results indicate that the Neural Network model could reduce the relative RMSE by a factor of 0.58 and MAPE by a factor of 0.76 which is much greater than the results obtained from Support Vector Machine.
System of Emotion Estimation Support by Shape Identification of Facial Areas for the Elderly

Humans change not only words but also facial expressions to express various emotions, which are factors that promote rich communication. However, it is difficult for users, such as the elderly or visually impaired, who have difficulty obtaining non-verbal information from others or who have difficulty communicating their feelings to others (i.e., those who have difficulty reading feelings) to use expressions to communicate with them. Therefore, in the communication of the user who has difficulty in recognizing the expression of the other party, the support to estimate the emotion of the other party is very useful. In addition, humans change the shape of the face part in one emotion and form various facial expressions. In this paper, we describe the effectiveness of the emotion estimation support system using the recognition of the facial part shape.
Holistic Assessment of Situated Cooking Interactions: Preliminary Results of an Observational Study

This study presents the preliminary results of in situ observations of 2 cooking moments among 16 households. The aim of the study was to map the domestic cooking ecosystem from a user's perspective and define which components of that environment influence the user's cooking experience. Preliminary results show that contextual components and in particular, situations, shape cooking experiences in the domestic kitchen. Four opposite situational contexts, i.e., cooking for oneself or cooking for guests, cooking on a weekday or cooking during the weekend, cooking routine dishes or cooking dishes for the first time, and cooking alone or cooking together were distinguished. Situational context will influence temporal context, social context, physical context perceptions and information and task context of the cooking activity. These will in turn influence interactions with objects (i.e., ingredients, kitchen utensils), kitchen technology and their interfaces, content and other people present during the cooking activity. This study suggests that future kitchen technologies can match or enhance current practices only if designers and user researchers understand and define their situational context. This study goes beyond the state of the art, as this is the first study that aims to provide a holistic analysis of the current state of domestic cooking experiences using in-situ observations in order to inform design of future technologies. Implications for design are discussed.
Law report: 'Small business and' cyber security

Most of us live in a world where much of our lives are conducted online. For many of us this extends to running our small businesses. Stop and think about it for a moment. How many of you order sto...
Implementation for New Approach for Privacy-Preserving Over Encrypted Cloud Data

As the human society is living in an incredibly organized condition, where tremendous measures of information are put away in remote, yet not of need confided in servers. There are many security issues worried to get to information on such servers; two of them can easily be perceived: the affectability of catchphrases sent in questions and the information recovered both require to be covered up. An associated convention, Private Information Retrieval (PIR) facilitates the client to route openly or private databases without uncovering which information he is removed. Since, protection is of a tremendous concern encourages positioned scan for solid abuse of redistributed cloud information under the previously mentioned model, our framework configuration ought to simultaneously accomplish security and execution ensure as pursues. An information encryption plot Privacy-safeguarding. In our methodology dodge the cloud server from taking in strengthening data from the informational collection and the record, and to get together security wants. Effectiveness more than objectives on usefulness and protection ought to be achieved with low correspondence and calculation straightforwardness. The proposed approach improves the record recovery precision, the hunt result ought to be positioned by the cloud server as indicated by various positioning criteria. Finally, the entrance control system is attempting to direct decoding capacities given to clients and the information accumulation can be refreshed as far as embeddings novel archives, refreshing existing reports, and erasing alive records. In this paper, PRSA Algorithm dependent on the push and column-based encryption, changed calculation MD5 (Message-Digest Algorithm) and triple-DES (Data Encryption Standard) are studied.
Mobile sensors' patrol path planning in unobservable border region

Purpose The border control becomes challenging when a protected region is large and there is a limited number of border patrols. This research paper proposes a novel heuristic-based patrol path planning scheme in order to efficiently patrol with resource scarcity. Design/methodology/approach The trespasser influencing score, which is determined from the environmental characteristics and trespassing statistic of the region, is used as a heuristic for measuring a chance of approaching a trespasser. The patrol plan is occasionally updated with a new trespassing statistic during a border operation. The performance of the proposed patrol path planning scheme was evaluated and compared with other patrol path planning schemes by the empirical experiment under different scenarios. Findings The result from the experiment indicates that the proposed patrol planning outperforms other patrol path planning schemes in terms of the trespasser detection rate, when more environment-aware trespassers are in the region. Research limitations/implications The experiment was conducted through simulated agents in simulated environment, which were assumed to mimic real behavior and environment. Originality/value This research paper contributes a heuristic-based patrol path planning scheme that applies the environmental characteristics and dynamic statistic of the region, as well as a border surveillance problem model that would be useful for mobile sensor planning in a border surveillance application.
Kurios

Kurios is a smartphone web application for saving and sharing audio stories embedded in physical objects. People can use Kurios to preserve their memories sparked by family photos, heirlooms, travel souvenirs, and trophies into the objects themselves. By creating this easily accessed semantic platform, the project seeks to not only preserve past stories but also promote the bonds and sense of community that come with storytelling itself.
Good recursive towers over prime fields exist

We give a construction and equations for good recursive towers over any finite field $$\mathbf {F}_q$$ with $$q \ne 2$$ and 3.
An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer

Differential Evolution for Neural Networks (DENN) is an optimizer for neural network weights based on Differential Evolution. Although DENN has shown good performance with middle-size networks, the number of weights is an evident limitation of the approach. The aim of this work is to figure out if coevolutionary strategies implemented on top of DENN could be of help during the optimization phase. Moreover, we studied two of the classical problems connected to the application of evolutionary computation, i.e. the stagnation and the lack of population diversity, and the use of a crowding strategy to address them. The system has been tested on classical benchmark classification problems and experimental results are presented and discussed.
Using Guided Cognitive Illusions to Compensate for the Motion Limits of 4D Seats

Presently 4D seats are widely used as an approach of training and entertainment in various industries. However, most 4D seats can move and/or rotate within a pretty limited range, making them impossible to faithfully copy the motion of a real or simulated vehicle without any sacrifice. Considering the fact that vision provides most information to a human being for pose judgement, we proposed a scheme where eye-body inconsistency was deliberately created to guide a user’s perception of body rotation so as to make more room for over-limit moves. We conducted two experiments to verify its effectiveness from the perspective of user experience and the findings were partially in accordance with our expectation.
Innovation works of critical impact training model based on mass media to improve the capability of environmental critical learning for learners of the critical pedagogics

Abstract Learners critical thinking skills in environmental concepts can be improved by one of them by realizing learning through critical literacy training based on mass media. The research was conducted at the Didactic LPM Secretariat, UNJ as a routine meeting of the NGO Unlimited Schools office on Kemandoran Street. Empirical information about the improvement of critical learning skills of members of critical pedagogy groups. The method used in this study is Practical Action Research or action research by organizing a learning action in a training model. The results of research obtained showed an increase in critical learning skills of members of the critical pedagogy groups after being given a treatment. The average increase in their critical learning abilities reaches 43%. The conclusion that can be drawn is that this study is likely to be used for critical learning that is used functionally in other objects.
Isolating Insecurely: A Call to Arms for the Security and Privacy Community During the Time of COVID-19

Presents the introductory editorial for this issue of the publication.
Trends in Human-Computer Interaction in the 5G Era: Emerging Life Scenarios with 5G Networks

With the development of 5G networks, capacity enhancement, massive connectivity, ultra-high reliability, and low latency are typical use scenarios of information communication technology (ICT). These ICT improvements will also bring large challenges and revolutions to future human-computer interaction (HCI). This study aims to explore the emerging and promising trends and applications of HCI in the 5G era. Eleven experts in HCI and psychology were invited to participate in focus groups and brainstorming studies to collect their perspectives and expectations of future life scenarios and technological applications with 5G networks. Four trends in HCI are identified and proposed in this paper according to their opinions: natural interaction, multimodal display, virtual identity, and cloud data. The four trends are based on the elements of humans, computers, and the interactions between them and the environment. Each identified trend is analyzed in terms of main technological applications, links to 5G development, and future life scenarios. A related trend model was further discussed with respect to user experience and privacy protection.