Today's Users Research Articles

Design and implementation of a virtual library system: An overview

This research paper presents the design and implementation of a Virtual Library System (VLS), a web-based platform aimed at modernizing and enhancing traditional library services. The system incorporates advanced technologies to provide users with a seamless and interactive experience, offering features such as online cataloging, digital resource management, user authentication, and collaborative tools. The VLS aims to bridge the gap between traditional and digital libraries, catering to the evolving needs of today's users.

Aplikasi Facebook Sebagai Sarana Dalam Berkatekese

World progress is felt in various aspects and is very dominant in the field of technology, the development of digitalization makes the world without borders because it reaches every group in all corners of the world. Various applications are offered to make friends through this virtual world and the one that is very popular at the moment is Facebook. Facebook accounts have become popular among people because apart from the interesting features, Facebook can easily access friends without having to meet physically. The development of technological advances is considered good because it helps facilitate the movement of the world in seeking information and obtaining knowledge that supports needs in work, education and entertainment. Because the influence of technology reaches all aspects and influences the way today's users think and act, the impact of this change cannot be separated from the Church's anxiety about the development of the faith of its people. This article will explain the integrity of journalists which has developed in line with advances in digitalization. The author focused his presentation on using a Facebook account for catechesis.

Overcoming traditional ETL systems architectural problems using a service‐oriented approach

AbstractDeveloping analytical systems imposes several challenges related not only to the amount and heterogeneity of the involved data but also to the constant need to readapt and evolve to overcome new business challenges. Data are a determinant factor in the success of analytical and decision‐making applications, being its nature, availability, and quality, crucial aspects for planning and structuring populating analytical systems. Today's users are more demanding, requiring adaptable and flexible analytical applications, which impose serious challenges on extract‐transform‐load (ETL) systems design and development for ensuring flexible and robust data populating services, operating 24/7, and managing and processing large volumes of data. Thus, we should design and implement ETL processes using innovative and up‐to‐date approaches, having real application evidence. In this paper, we present a service‐oriented implementation for ETL design and development. We mapped and implemented some of the most conventional ETL processes in a service‐oriented architecture, to demonstrate the application and benefits that this kind of approach will provide to ETL systems project development.

XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes

Data are naturally produced at different locations and hence stored on different DBMSes. To maximize the value of the collected data, today's users combine data from different sources. Research in data integration has proposed the Mediator-Wrapper (MW) architecture to enable ad-hoc querying processing over multiple sources. The MW approach is desirable for users, as they do not need to deal with heterogeneous data sources. However, from a query processing perspective, the MW approach is inefficient: First, one needs to provision the mediating execution engine with resources. Second, during query processing, data gets "centralized" within the mediating engine, which causes redundant data movement. Recently, we proposed in-situ cross-database query processing , a paradigm for federated query processing without a mediating engine. Our approach optimizes runtime performance and reduces data movement by leveraging existing systems, eliminating the need for an additional federated query engine. In this demonstration, we showcase XDB, our prototype for in-situ cross-database query processing. We demonstrate several aspects of XDB, i.e. the cross-database environment, our optimization techniques, and its decentralized execution phase.

THE REPRESENTATION-USAGE-IMPACT (RUI) METHOD TO BETTER FRAME THE POTENTIAL SOCIAL IMPACTS OF A HIGHLY DISRUPTIVE PRODUCT—APPLICATION TO THE AUTONOMOUS VEHICLE

AbstractInnovative products can be highly prospective and apt to disrupt usages profoundly. They can lead to multiple long-term social impacts influencing people's way of life and behaviour. So it is necessary to anticipate them without delay. Due to high uncertainty, designers may face the problem that conventional user-centred methods, which assess design performances from today's users, are not adapted. We think sociologists can help characterise the likely social impacts of future products. So we propose an original framework called the Representation-Usage-Impact (RUI) method to stimulate sociologists' projection and capture relevant knowledge about probable social impacts. The method includes a database structure encoding the knowledge of sociologists for further use in the design process. Its goal is to help designers avoid making choices today that may be regretted in decades. We illustrate the method and its process with the design of autonomous vehicle scenarios, as it will likely bring many new usages in the future. As the method is still under construction, we present an intermediate validation step involving sociologists. The first results suggest that the method might be a safeguard for the design of disruptive products.

Paradise: Real-Time, Generalized, and Distributed Provenance-Based Intrusion Detection

Identifying intrusion from massive and multi-source logs accurately and in real-time presents challenges for today's users. This article presents Paradise, a real-time, generalized, and distributed provenance-based intrusion detection method. Paradise introduces a novel extract strategy to prune and extract process feature vectors from provenance dependencies at the system log level, and it stores them in high-efficiency memory databases. Using this strategy, Paradise does not depend on the specific operating system type or provenance collection framework. Provenance-based dependencies are calculated independently during the detection phase, thus, Paradise can negotiate all detection results from multiple detectors without extra communication overhead between detectors. Paradise also employs an efficient load-balanced distribution scheme that enhances the Kafka architecture to efficiently distribute provenance graph feature vectors to the detectors. The experimental results demonstrate that our method has a high detection accuracy with a low time overhead.

10 Best practices in Immersive Learning Design and 10 points of connection with the Metaverse: a point of view

Immersive learning design is the process of creating immersive learning experiences using technologies such as augmented reality virtual reality, and mixed reality. The goal of immersive learning design is to create engaging and interactive learning experiences that immerse learners in a virtual environment where they can explore and interact with the subject matter in meaningful ways. Today, immersive learning design is used in a wide range of settings, including education and corporate training. It is increasingly being recognized as an effective way to engage learners and enhance the learning experience. In this article, we systematize 10 best practices for immersive learning design. These technologies allow learners to experience and interact with the virtual environment in a way that is more realistic and immersive than traditional methods, such as lectures or reading materials. On the other hand, 10 points of connection between immersive learning design and the metaverse. The metaverse is transforming education by promoting communication and supporting immersive learning. The metaverse is also projected to dramatically boost e-learning by making virtual learning environments more lifelike and learning more engaging and experiential. Based on this reflection, it could be stated that metaverse could be a promising tool to provide an immersive learning experience for today's users.

KRiPTO PARA VE PARANIN FONKSİYONLARI

It goes without saying that cryptocurrency is a technologically advanced type of electronic currency that came into our lives in 2009, but still not up to scratch. When you take into account particularly the last two decades of the course, its place in money markets is subject to critical evaluations, while the awareness of cryptocurrency becomes ubiquitous. One of the main intriguing points to be dug out at this point is the extent to which cryptocurrency meet the functions of money. In the study, how extent the cryptocurrency types meet the functions of money is sought to dig out. Besides, the operability of the functions of money in the cryptocurrency is pinpointed with a multifaceted evaluation. Cryptocurrency and blockchain technology, which are clearly summarized with the aforementioned approach, are considered within the scope of today's usage areas. Within the scope of study, which also includes the advantages of cryptocurrency and blockchain technology, the possible usage areas and possible developments of cryptocurrencies in the following period are also highlighted, and their relationship with the functions of money is established.

An Experimental Study on Mechanical Properties of Self Compacting Concrete by using Fiber Reinforcement

The invention of Self Compacting Concrete has been tremendous and continuing growth in the working area over the past decade, culminating in its widespread usage in today's reality. It outperforms regular cement in application and completion,cost, work reserve funds, and solidity. The addition of strands enhances its qualities, particularly those related to SCC's post- break behaviour. The goal is to investigate the strength properties of SCC when mixed with various types of strands. Different strand types and filament speeds are among the variables studied. The essential characteristics of SCC, including strength, break energy, sturdiness, and sorptivity, must be controlled. The hydrated design and security development between fiber and blend will be examined using an electron microscope to examine the tiny building of several mixes. 12mm cut glass fiber, carbon fiber, and basalt fiber will be used in the request, as they have been for quite some time. 0.0 percent, 0.1 percent, 0.15 percent, 0.2 percent, 0.25 percent, and 0.3 percent of strands are removed based on volume. The request is broken down into two parts. The first half involves creating a planned blend for SCC of a detailed assessment, such as M30. The second half involves adding filaments such as glass, basalt, and carbon strands to the SCC blends and evaluating and verifying their plastic and hardened properties. The experiment demonstrates a modest improvement in SCC aspects by adding strands of various types and altering the volume. Carbon fiber is the most improved in the more challenging state, followed by Basalt fiber and Glass fiber, and the least improved in the plastic state due to its high-water absorption. Glass fiber fared better in the plastic state. Basalt fiber fared better in the present study regarding cost, appropriate amount, and overall viability

Babelfish

Today's users of data processing systems come from different domains, have different levels of expertise, and prefer different programming languages. As a result, analytical workload requirements shifted from relational to polyglot queries involving user-defined functions (UDFs). Although some data processing systems support polyglot queries, they often embed third-party language runtimes. This embedding induces a high performance overhead, as it causes additional data materialization between execution engines. In this paper, we present Babelfish, a novel data processing engine designed for polyglot queries. Babelfish introduces an intermediate representation that unifies queries from different implementation languages. This enables new, holistic optimizations across operator and language boundaries, e.g., operator fusion and workload specialization. As a result, Babelfish avoids data transfers and enables efficient utilization of hardware resources. Our evaluation shows that Babelfish outperforms state-of-the-art data processing systems by up to one order of magnitude and reaches the performance of handwritten code. With Babelfish, we bridge the performance gap between relational and multi-language UDFs and lay the foundation for the efficient execution of future polyglot workloads.

ViMoT - Development of Visual-Motor Tests Methodology Including the Adoption of Uniform Rules and Digital Test Development

The authors have previously researched and analyzed, both manually and with the help of a computer program, preschool and primary school children's performance in the eye-hand coordination test and their depth perception. The study used the standardized DTVP-2 test - a psychophysiological test, and it will report as a golden standard for evaluation of visual - motor and visual perception integration. Computer-aided test processing significantly accelerates the collection and acquisition of test results - as we know, time is now a very high resource that everyone needs to spare. We evaluated the stereo vision of 56 participants by using the TNO test and eye-hand coordination. The participants were children of preschool and primary school age. Twenty of them were from a school for children with cognitive disabilities. The TNO test results showed that 54% of children between the ages of 5.5 and 9.0 years old had 60 arcsec, 18% - 120 arcsec, and 29% - 240 arcsec. The DTVP -2 test execution rate shows a very strong correlation with the stereoacuity (r = 0, 90; p < 0, 05). A computerized DTVP -2 test performance coefficient shows a higher correlation with stereo (r =0, 99; p < 0, 05). The DTVP -2 performance coefficient related to stereovision value - the higher the eye-hand coordination performance coefficient, the lower are the stereo threshold value. The conclusions of master thesis research became hypotheses of PhD research and started developing a ViMoT methodology. The development of a new methodology (ViMoT) for assessing visual-motor coordination and visual perception in electronic format and the subsequent development of a computer program will facilitate many specialists' work. It will make it possible to devote more time to processing, but correction or help of an individual (patient), depending on his problem. By working in an interdisciplinary manner, there is an in-depth knowledge of the topic, researched, and new solutions relevant to e-learning. Ensures the quality of the research and increases competitiveness. The following primary research methods will be applied to achieve the aim of the study: theoretical data research as descriptive analysis, content analysis, and comparative method; mixed type of methods as both qualitative research methods and quantitative research methods – document use, case studies, surveys, focus groups discussions and interviews with target groups, experimental and practical testing of recommendations; analysis methods as descriptive analysis, statistical analysis, and others. Today's users and learners require a user-oriented and personalized approach, not only in applications but also in education. The primary study aims to develop components for improving e-learning and learning process Visual-Motor Test (ViMoT) methodologies based and a new computerized tool on visual science basic principles, psychophysiological, and learners' needs.

Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments

Efficient intrusion detection and analysis of the security landscape in big data environments present challenge for today's users. Intrusion behavior can be described by provenance graphs that record the dependency relationships between intrusion processes and the infected files. Existing intrusion detection methods typically analyze and identify the anomaly either in a single provenance path or the whole provenance graph, neither of which can achieve the benefit on both detection accuracy and detection time. We propose Pagoda, a hybrid approach that takes into account the anomaly degree of both a single provenance path and the whole provenance graph. It can identify intrusion quickly if a serious compromise has been found on one path, and can further improve the detection rate by considering the behavior representation in the whole provenance graph. Pagoda uses a persistent memory database to store provenance and aggregates multiple similar items into one provenance record to maximumly reduce unnecessary I/O during the detection analysis. In addition, it encodes duplicate items in the rule database and filters noise that does not contain intrusion information. The experimental results on a wide variety of real-world applications demonstrate its performance and efficiency.

Component Linearity and Power Efficiency: A Sub-Six 5G Flexible Low-Interference Receiver

The number of available services in mobile devices has increased continuously over the past several years. Applications such as the 5G cellular network, Wi-Fi, Bluetooth, and GPS are standard in modern devices. As a result, RF front-end requirements have become increasingly complex. To save money and space, it can make sense to use one front end for several services, which requires components with an increased bandwidth. Because of the high bandwidth used, the filtering of unwanted signals is no longer possible in many cases. This makes a high linearity of active components, such as amplifiers and mixers, even more important as they can become sensitive to intermodulation. In addition, the power consumption of the components must be as low as possible since today's users demand long battery life from their mobile devices. Therefore, wideband low-noise amplifiers (LNAs) with a high linearity and low input power are required.

An Investigation Into Key Influence Factors for the Everyday Usability of Electric Vehicles

Society relies on electric mobility to decrease the problems associated with local emissions and global climate change. One key factor for the success of electric vehicles is their everyday usability. Today's users must deal with limited driving range in a sparse charging infrastructure. In this work, we investigate central features influencing the everyday usability of electric vehicles, such as battery capacity, charging infrastructure, range prediction accuracy and vehicle concepts. Since the influence of these aspects depend on each other, they cannot be examined separately. Therefore, we created a stochastic simulation framework with vehicle models and map data to calculate a large amount of different feature variations. One of our key findings is that battery capacities beyond 100 kWh are not feasible. In addition, we stated the importance of an accurate range estimation algorithm and a dense network of high-performance charging points for everyday usability. Taking these results into consideration would help policy makers and automobile manufacturers achieve worldwide acceptance of electric vehicles.

Penerapan Knowledge Management System Menggunankan Algoritma Levenshtein

Knowledge management (KM) is an important thing to store or possess existing knowledge. The difficulty of getting knowledge that has actually been known for a long time about special planning for new information is to repair a certain position, in this case the container that contains several private universities in Palembang. The lecturer can only find out how the system discusses in the college, and many other knowledge that must be discussed by the new lecturer. Therefore the Knowledge Management System (KMS) will be built using the Inukshuk Model to become a means for existing knowledge, while the algorithm for searching knowledge stored in KMS is the Levenshtein Algorithm. The selection of the Levenshtein algorithm itself which uses this algorithm measures the relationship between strings (words to words, words to sentences and sentences to sentences) by calculating the edit distance, so that it will produce a high level of acquisition. The result is a KMS that is important for private universities to store and manage knowledge web-based services to make it easier for today's users to use many internet networks.

APLIKASI GAME MATEMATIKA DALAM MENINGKATKAN KEMAMPUAN MENGHITUNG MATEMATIS

Today's users of gadgets are getting more and more from every year and continuously increasing along with the development of communication information technology. This development has triggered the emergence of various android applications specifically offered to support the sophistication of gadgets, including game applications, business applications, social applications, and educational applications. One android application that has more value is a math game, as if inviting users to play like a game in general but inside it can help develop numeracy skills. In this study, it is very interesting to examine how the application of mathematical games in improving mathematical calculation skills. Most of the gadgets currently used, offer more entertainment, whether it's games or shows that aren't good enough. Therefore the application of this mathematical game application can at least shift the use of the existence of gadgets commonly used for playing or entertainment can be used as a means for learning especially for learning mathematics. This research is an experimental study with a quasi-experimental method that tests a learning with the help of an android math game application through the scientific approach used in the 2013 curriculum. This learning provides a new breakthrough in learning, especially mathematics, because of the presuppositions of learning mathematics it is difficult and scary to switch to being fun and enjoyable with the use of gadgets during the learning process. Keywords: mathematical calculation skills, math game.

Modeling of the Grinding Wheel Topography Depending on the Recipe-Dependent Volumetric Composition

The prediction of the grinding process result, such as the workpiece surface quality or the state of the edge zone depending on the used grinding wheel is still a great challenge for today's manufacturers and users of grinding tools. This is mainly caused by an inadequate predictability of force and temperature affecting the process. The force and the temperature strongly depend on the topography of the grinding wheel, which comes into contact with the workpiece during the grinding process. The topography of a grinding wheel mainly depends on the structure of the grinding wheel, which is determined by the recipe-dependent volumetric composition of the tool. So, the structure of a grinding tool determines its application behavior strongly. As result, the knowledge-based prediction of the grinding wheel topography and its influence on the machining behavior will only be possible if the recipe-dependent grinding wheel structure is known. This paper presents an innovative approach for modeling the grinding wheel structure and the resultant grinding wheel topography. The overall objective of the underlying research work was to create a mathematical-generic grinding tool model in which the spatial arrangement of the components, grains, bond, and pores, is simulated in a realistic manner starting from the recipe-dependent volumetric composition of a grinding wheel. This model enables the user to determine the resulting grinding wheel structure and the grinding wheel topography of vitrified and synthetic resin-bonded cubic boron nitride (CBN) grinding wheels depending on their specification and thus to predict their application behavior. The originality of the present research results is a generic approach for the modeling of grinding tools, which takes into account the entire grinding wheel structure to build up the topography. Therefore, original mathematical methods are used. The components of grinding wheels are analyzed, and distribution functions of the component's positions in the tools are determined. Thus, the statistical character of the grinding wheel structure is taken into account in the developed model. In future, the presented model opens new perspectives in order to optimize and to increase the productivity of grinding processes.

Improving quality of multimedia services through network performance isolation in a mobile device

Due to the advancement of hardware and software, today's mobile devices, such as smartphones, tablet PCs, and laptops, are capable of providing a wide range of services. Among various services, a lot of users use multimedia services on mobile devices, and the size of mobile multimedia traffic is constantly increasing. Especially, the growth of social networking services and content-sharing sites stimulates creating and sharing of multimedia contents. Such environment made it possible for today's mobile users to frequently download or upload multimedia data. Nowadays, smartphones allow users to multi-task between different services, so the multimedia service often coexists with background services in a mobile device at the same time. In these cases, the performance degradation of a multimedia service happens due to concurrently running background services in the device. In this paper, we propose MuSNet, a scheme for improving QoS and QoE of multimedia services through network performance isolation in a mobile device, which resolves the aforementioned problem by applying the concept of performance isolation to the multimedia services. MuSNet is the mobile device-based scheme without any modification on servers. Furthermore, unlike most performance isolation implemented by virtual machines, we suggest a scheme that does not require virtualization that might be heavy for mobile devices. The proposed scheme was implemented on a smartphone by modifying the kernel, and various experiments were conducted to evaluate the advanced system behavior of MuSNet.

Does today's service user influence mental health policy?

Sarah Yiannoullou, Managing Director of the National Survivor User Network (NSUN) outlines how NSUN ensures the service user voice is heard

An energy-efficient and client-centric data streaming technique on smartphones

Today's users extensively download video files on their wireless handheld devices, which are inherently power constrained. Experiments have shown that video downloading accounts for a large portion of the total energy cost of downloading and playing video files. In this paper, we present a novel, energy-efficient and purely client-centric video downloading algorithm with three tunable parameters namely, buffer size, low water mark and socket-reading size. By implementing the algorithm on a smartphone and measuring the actual energy cost, we show the impacts of the three parameters on the energy cost of video downloads. By tuning the buffer size, low water mark, and socket-reading, we observed energy savings to the extent of 60%, 64%, and 63%, respectively. By incorporating our algorithmic approach into the process of video downloading, mobile application developers will be better positioned to fine-tune their apps to reduce the total energy cost of downloading large files in general.