Information Objects Research Articles

СОВРЕМЕННЫЕ МЕТОДИКИ ПОДГОТОВКИ КОНКУРСАНТОВ К МЕЖДУНАРОДНОЙ ОЛИМПИАДЕ ПО СТАНДАРТИЗАЦИИ (В РЕСБУЛИКЕ КОРЕЯ)

The article presents the process of preparing students and schoolchildren for the Olympiad on standardization in the field of ISO standards in 2023 as a unique experience in the field of formation of engineering super-competencies. The uniqueness of the training process lies in the fact that the educational process of the university training methodology had to be projected onto the training of a team consisting of participants of different ages of the Olympiad - from 7th grade schoolchildren to 1st year university students, while laying down super-competencies. The understanding of the material had to be as adaptive as possible for different categories of students. The relevance of the research lies in building up competencies in the field of international projects, contributing to a more extensive familiarization with current tasks in the field of aerospace instrumentation. The article also emphasizes that such Olympiads are important from the point of view of training not only students, but also teachers. An important stage of preparation was the experience of accumulated knowledge in the process of teaching students in the specialty 27.03.01 "Standardization and metrology". The learning process in the article is described based on the analysis of learning systems for students of different ages, the importance of supercompetencies in the modern course of training in technical specialties is presented. The peculiarity of standardization training is the symbiosis of legal and technical competencies in a single key, because On the one hand, objects of regulatory, technical and legal information are used in the learning process (for example, «Garant» is a member of the Russian Association of Legal Information), on the other hand, it is also necessary to conduct training in the field of technological processes and design documentation, in the field of electrical and circuit engineering.

Media culture as a factor of public opinion formation in small towns

Introduction. In the modern world, where the information environment is saturated with informational noise and mass means of communication, media culture acquires an important status in the formation of public opinion. This is especially true for small towns, as they may be remote from global media streams. Relevance and purpose. Media culture becomes a key tool for understanding and analyzing information included in public discourse and influences the formation of people’s consciousness and views. The purpose of the article is to study media culture as an important element of public opinion formation in small towns of Ukraine through the prism of identifying perspectives of influence and control. Methodology. Conceptual foundations for the study of modern media culture and its impact on the cultural and social structure of society were laid in foundational theories such as Marshall McLuhan’s «global village» and Alvin Toffler’s «future shock». Content analysis of scientific literature was also used as the main research method. Results. The influence of media culture on the formation of public opinion in small towns is extremely significant, especially due to the limited media space, which makes its influence even more significant. In such conditions, the media play a decisive role in the coverage of events at the local and national levels, as well as in the formation of the cultural and social identity of the community. The study emphasizes the importance of media self-regulation and the development of professional ethics to ensure objectivity and credibility of information. Financial support for independent media, local media and ensuring the confidentiality of sources are identified as critical factors for ensuring the quality of information services in small towns. Also, raising the level of media literacy is an important element, key to critical thinking and fact-checking. Therefore, initiatives and programs aimed at improving media literacy among residents of small towns are recognized as essential. Conclusions. Media culture is an important part of the socio-cultural development of small towns. Mass media play a key role in covering local or national events. For this reason, mechanisms of control over the manipulation of mass media are of particular importance. The work emphasizes the importance of media literacy among the population of small towns. Therefore, individual programs and initiatives can contribute to increasing the level of media literacy among residents of small towns.

IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures.

Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual information processing pathway of creatures only roughly define the general process, which deficiently reproduces the process of identifying camouflaged objects. How to make modeled neural networks perceive camouflaged objects as effectively as creatures is a significant topic that deserves further consideration. After meticulous analysis of biological visual information processing, we propose an end-to-end prudent and comprehensive neural network, termed IdeNet, to model the critical information processing. Specifically, IdeNet divides the entire perception process into five stages: information collection, information augmentation, information filtering, information localization, and information correction and object identification. In addition, we design tailored visual information processing mechanisms for each stage, including the information augmentation module (IAM), the information filtering module (IFM), the information localization module (ILM), and the information correction module (ICM), to model the critical visual information processing and establish the inextricable association of biological behavior and visual information processing. The extensive experiments show that IdeNet outperforms state-of-the-art methods in all benchmarks, demonstrating the effectiveness of the five-stage partitioning of visual information processing pathway and the tailored visual information processing mechanisms for camouflaged object detection. Our code is publicly available at: https://github.com/whyandbecause/IdeNet.

Haptic Sensing and Feedback Techniques toward Virtual Reality.

Haptic interactions between human and machines are essential for information acquisition and object manipulation. In virtual reality (VR) system, the haptic sensing device can gather information to construct virtual elements, while the haptic feedback part can transfer feedbacks to human with virtual tactile sensation. Therefore, exploring high-performance haptic sensing and feedback interface imparts closed-loop haptic interaction to VR system. This review summarizes state-of-the-art VR-related haptic sensing and feedback techniques based on the hardware parts. For the haptic sensor, we focus on mechanism scope (piezoresistive, capacitive, piezoelectric, and triboelectric) and introduce force sensor, gesture translation, and touch identification in the functional view. In terms of the haptic feedbacks, methodologies including mechanical, electrical, and elastic actuators are surveyed. In addition, the interactive application of virtual control, immersive entertainment, and medical rehabilitation is also summarized. The challenges of virtual haptic interactions are given including the accuracy, durability, and technical conflicts of the sensing devices, bottlenecks of various feedbacks, as well as the closed-loop interaction system. Besides, the prospects are outlined in artificial intelligence of things, wise information technology of medicine, and multimedia VR areas.

Absorption of Rural and Urban Land and Building Tax (PBB-P2) Through the Tax Object Management Information System

his research aims to determine the implementation of the Policy on the Absorption of Rural and Urban Land and Building Taxes (PBB-P2) through the Taxpayer Information Management System and analyze the factors that support the implementation of the Policy on the Absorption of Rural and Urban Land and Building Taxes (PBB-P2) Through the Taxpayer Information Management System. This research is a type of qualitative research with a descriptive approach. In qualitative data analysis there are three streams of activities that occur simultaneously, namely data condensation, data presentation, conclusions.The regional government of East Kutai Regency is trying to increase Original Regional Income (PAD) by optimizing the management of Regional Tax collection. This is done through the implementation of an online and integrated information and technology-based Tax Object Information Management System. The research focus includes taxpayers in East Kutai Regency which has a total number of tax objects reaching 146,248, with around 70% more tax arrears compared to other districts. The policy implementation process for the absorption of Rural and Urban Land and Building Tax (PBB-P2) is carried out based on the East Kutai Regent's regulation Number 44 of 2013. Implementation steps include policy formulation by the Regional Government, including determining tax rates, regulations, tax exemptions, and related provisions. The Tax Object Management Information System (SISMIOP) is used to manage tax data, monitor policy implementation, and report results. Supporting factors for policy implementation through SISMIOP include efficiency in managing tax object data, support for tax outreach and education activities, as well as providing better access to taxpayers regarding tax information. The East Kutai Regency Government uses SISMIOP for monitoring, supervision and decision making regarding taxes to ensure taxpayer compliance and optimal tax collection

The Use of Augmented Reality in Tabletop Exercise for Disaster Preparedness Training: A Descriptive Abstract

Abstract Introduction Augmented reality (AR) is a valuable tool in disaster preparedness training such as tabletop exercises that enhances the exercise by overlaying digital information and virtual objects. Objective This study intends to develop an application using AR to be used during the exercise. Methods The data is collected through interviews on the opinions and views of the experts from five main agencies in a disaster response; the National Disaster Management Agency, the Royal Malaysia Police, the Fire and Rescue Department of Malaysia, the Ministry of Health, and the Malaysia Civil Defence Department, discussing their duties during a flood scenario. The consensus achieved after series of interviews with the experts, including document reviews guided by National Security Council Directive 20. Results The AR approach is created through ‘marker-based’ which use an image recognition to build up an engaging ‘storyline’ of flood scenario. It includes the updates on the changing plot during the exercise using an ‘inject’ meant to progress the plot and provide fresh data to evaluate and react to. Discussion Integrating virtual objects and entities into the tabletop exercise is made possible by AR, where it revolutionises how disaster responders being trained using an approach that more engaging and effective.

Influence of the atmosphere on the spread of laser radiation

The article is devoted to the problem of protecting information from being read by an optoelectronic channel by studying the influence of atmospheric parameters on the spread of laser radiation. The paper considers key aspects of radiation attenuation due to scattering and absorption by air gases and aerosol particles. It is shown that the efficiency of the probing laser beam depends on extreme climatic conditions, and due to scattering and absorption, the power of the laser beam will decrease as it spreads through the atmosphere. Taking into account the peculiarities of the passage of a laser beam through the atmosphere and the influence of various types of interference on the probing signal, it is possible to predict its attenuation and blocking, namely, for reading confidential speech information, lasers with radiation located in the parts of the atmospheric spectrum occupied by wide windows of transparency should be taken for the appropriate weather conditions; to protect information from being read by an optoelectronic channel, it is necessary to use parameters of the external environment that prevent direct access of the laser beam to the object of information. The presented author's vision of research into the influence of the atmosphere on the spread of laser radiation will allow us to apply the results, ideas, and proposals summarized in this article to solve current problems in the field of information protection.

Information system related to the phytosanitary condition analysis of territories

The article describes the rationale for the development of an information system in order to perform the tasks of Rosselkhoznadzor on the analysis of phytosanitary status of territories, which includes planning and results of plans for quarantine phytosanitary monitoring of territories, results of phytomonitoring of pests of quarantine importance for major importing countries of Russian grain and analysis of quarantine phytosanitary status of territories. Functions, structure and information objects of this information system, roles of information system users are described. The results of information system implementation in the practice of the Russian Plant Quarantine Service are evaluated, such as increase of efficiency of the Rosselkhoznadzor function on control and supervision in the field of plant quarantine, ensuring compliance with quarantine phytosanitary requirements of importing countries, which significantly increased the export potential of the Russian Federation, significantly reduce the risk of damage caused by the spread of quarantine objects on the territory of the Russian Federation.

INTELLIGENT MONITORING AND PROTECTION SYSTEM OF CRITICAL INFRASTRUCTURE BASED ON MOBILE COMMUNICATION-INFORMATION SYSTEM WITH ELEMENTS OF ARTIFICIAL INTELLIGENCE

The paper proposes innovative modern solutions for an integrated mobile monitoring system with elements of artificial intelligence in the Internet environment based on a mobile communication-information system for collecting, aggregating, processing, and presenting in realtime streams of information objects. It presents the management of communication networks to optimize the transport and processing of information objects based on discrete-event data flow representation and modeling with a hierarchical structure. Qualitative aspects are considered for networks designed for monitoring and notification of geophysical, climatic, and other natural phenomena as well as for anthropogenic systems. A comparison of centralized and decentralized management capabilities is made, as well as the state of the art of network technologies and the possibilities for practical implementation in different network architectures.

К ВОПРОСУ ОБ ОЦЕНКЕ ОРТОСТАТИЧЕСКОЙ УСТОЙЧИВОСТИ ОРГАНИЗМА ЧЕЛОВЕКА

Ratio of blood pressure (BP) and heart rate (HR) has been used as a quantitative indicator of the human orthostatic tolerance. The indicator was conventionally designated as an efficiency coefficient (EC) of the mechanisms involved in systemic BP control during the passive orthostatic test (POT). The coefficient is measured in conventional units and calculated by formula EC (conv.unit) = BP (mm Hg) / HR (beats/min). Informativity of this indicator was verified by means of a retrospective analysis of 118 POTs performed by 30 essentially healthy male subjects (aged 19 to 40 yrs) before and after bed rest of varying duration. Prior to POT, EC in supine position made up 1.88 ± 0.04 conv. units. The EC decrease to 1.3 – 0.95 conv. units during POT evidenced clearly the extent of changes in the cardiovascular functioning and POT endurance. After bed rest, all subjects demonstrated an increased cardiovascular strain and reduced POT endurance; however, EC values were reliably higher for the subjects who had shown a higher POT endurance before bed rest. Based on analysis of individual reactions, the EC reduction to 1 conv.unit corresponded to the first pre-collapse signs and called for immediate POT termination. These results of the investigation make us believe that EC is an informative objective criterion for orthostatic tolerance evaluation that can be proposed for aerospace medicine applications.

System for remote monitoring and management of mobile and stationaryobjects and controlling of alcohol content in the blood of the personnel ofthese objects

Summary: The relevance of the development of technical systems designed to monitorthe physical condition of vehicle drivers, operators of technological equipment andpersonnel of critical information objects and blocking access to hardware and softwarecontrols of these objects in cases where it is established that their health indicatorsdeviate from the norm, includ- ing being under the influence of alcohol is argued. Theprocess of absorption, distribution and excretion of alcohol from the human body isanalyzed. It has been shown that, due to the volatility of alcohol, it is possible todetermine its concentration in the blood by analyzing deep alveolar air. The coefficientsfor converting the concentration of alcohol in deep alveolar air into the concentration ofalcohol in the blood, adopted by the legislation of different countries, are given. The basicrequirements for breath analyzers for alcohol, providing the necessary evidence of the examination results, including reliability, documentation and dating of the results are formulated. The use of an electrochemical sensor as the basis of the developed system is substantiated and the principle of its operation is described. A block diagram of the developed system for remote monitoring and control of mobile and stationary objectsand controlling the blood alcohol content of the personnel of these objects is presented.The system is based on the developed integrated circuit, controlled by a program modulewritten in the object-oriented programming language C++. The proposed system can beinstalled in any vehicles and stationary facilities and allows to monitor the level of alcohol in the blood of drivers and personnel of these facilities, to block control if thedriver/operator is intoxicated and report this to law enforcement agencies and/or the management of the enterprise. The system also monitors the speed, location and movement of moving objects in real time, notifies drivers about the situation on the route, based on information received from other controlled objects, and allows operators to control remote objects. Protecting measures against driver/operator actions aimed tofalsify the results of a blood alcohol test have been proposed.

PROPAGANDA NARRATIVES AS A WEAPON OF THE RUSSIAN FEDERATION IN THE HYBRID WAR AGAINST UKRAINE

The armed aggression of Russia against Ukraine on February 24, 2022, not only violated the territorial integrity of the country but also significantly impacted the media landscape not only in Ukraine but worldwide. Against the backdrop of this new reality, the role of objective information for citizens has become crucial in the fight against information warfare.Contemporary high-quality press, which shapes the opinions of both citizens and politicians, has become an integral component of society. In the conditions of the ongoing hybrid war in Eastern Europe, their task is even more crucial – not only to inform but also to shape the perception of domestic and international policies.The Russian aggression has prompted radical changes not only in the lives of Ukrainians but also in the field of journalism. Journalists working in the conditions of armed conflict face challenges that demand not only professional skill but also patriotism and a high level of responsibility. Their work has become crucial for preserving democratic values and overcoming the misinformation actively spreadingin the network. In particular, the media scene in Ukraine has taken on an important task – not only informing the world about the real events on the front but also countering Russian propaganda, which seeks to influence global opinion and distort facts.The current conflict situation between Russia and Ukraine has resulted in significant losses not only in human and material terms but also in the moral-psychological aspect for Ukraine. In order to overcome adversity, identify mistakes, and address shortcomings, it is necessary to develop an effective strategy for responding to informational influences.Considering the anticipated duration of the war, the positional nature of the conflict, and the escalating informational influence of the aggressor, an increase in the activity of the Russian Federation in the information space and a heightened level of informational threats to our state can be expected. In this new reality, where information has become as crucial a weapon as firearms, citizens and journalistscollaborate to ensure the objectivity and reliability of information. The hybrid nature of the war requires not only military action on the front but also active work in the media space.However, beyond combating internal and external propaganda, internal societal consolidation becomes crucial. Efforts towards enhancing media literacy and critical thinking among citizens play a significant role in shaping a resilient society that upholds its values and remains true to the principles of democracy.

An Improved and Optimized Gated Recurrent Unit and Long Short-Term Memory Model for Fake News Detection

This study presents a novel approach for detecting counterfeit news, employing an advanced hybrid model that integrates Enhanced Gated Recurrent Unit and Long Short-Term Memory networks, termed as IGRU-LSTM. Initially, the database is assembled from the Information Security and Object Technology (ISOT) database and Wikipedia databases. From the database, the real and fake news is detected by considering news reviews. The dataset may contain unwanted information line URLs and symbols, which should be corrected to achieve efficient fake news detection. So, the pre-processing technique should be considered such as special symbol removal, URLS removal, upper to lower case conversion and replace contractions. After that, the pre-processed data is sent to the embedding procedure for word embedding. Finally, the IGRU-LSTM classifier is utilized for classifying real and fake news detection. In the combined GRU-LSTM framework, we incorporate the Enhanced Wild Horse Optimisation (EWHO) algorithm to optimize the selection of optimal weighting parameters. We utilize MATLAB for implementing this method. To evaluate the effectiveness of our approach, we analyze key performance metrics like precision, recall, and accuracy, and compare them with established methods including CNN-PSO, CNN-FO, and standard CNN.

Assessment and Monitoring of the Security of Information Resources as an Emergency Situation

Formulation of the problem: control (evaluation) and monitoring of the information protection system (IPS) effectiveness are an integral part of the protected information objects operation process (state information systems, information systems of personal data, significant objects of critical information infrastructure). Imperfection of the control and monitoring means of the IPS together with her the vulnerabilities often leads to computer incidents with protected informatization object subsequent failure and/or degradation of its. One of the effective ways to solve this problem is the organization and implementation of preventive measures. The purpose of the work is reducing the response time and elimination of consequences from a computer incident caused by IPS measures to control (evaluate) the effectiveness. An additional goal is to neutralize information security threats implemented by an external intruder using sociotechnical methods (fishing). Methods: generalization and analysis of the existing regulatory and methodological support for the actions of information security units to carry out control (evaluation) measures, as well as in case of emergency situations and the occurrence of computer incidents. Novelty: the novelty elements is consideration of the event on ISP effectiveness control (evaluation) as a non-emergency situation in the informatization object operation under protect. Result: the necessity of introducing a threat to information security new class – the threat of information resource performance disruption caused by IPS control (assessment) and monitoring of the effectiveness are proved. Practical significance: the results of the work can be used to ensure organizations information resources security when the Center for Information Protection and Special Communication FSS of and territorial security bodies in relation to them measures to assess their security and the ability of bodies (organizations) to resist threats to information security.

DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images

Synthetic Aperture Radar (SAR) imagery is significant in remote sensing, but the limited spatial resolution results in restricted detail and clarity. Current super-resolution methods confront challenges such as complex network structure, insufficient sensing capability, and difficulty extracting features with local and global dependencies. To address these challenges, DMSC-GAN, a SAR image super-resolution technique based on the c-GAN framework, is introduced in this study. The design objective of DMSC-GAN is to enhance the flexibility and controllability of the model by utilizing conditional inputs to modulate the generated image features. The method uses an encoder–decoder structure to construct a generator and introduces a feature extraction module that combines convolutional operations with Deformable Multi-Head Self-Attention (DMSA). This module can efficiently capture the features of objects of various shapes and extract important background information needed to recover complex image textures. In addition, a multi-scale feature extraction pyramid layer helps to capture image details at different scales. DMSC-GAN combines perceptual loss and feature matching loss and, with the enhanced dual-scale discriminator, successfully extracts features from SAR images for high-quality super-resolution reconstruction. Extensive experiments confirm the excellent performance of DMSC-GAN, which significantly improves the spatial resolution and visual quality of SAR images. This framework demonstrates strong capabilities and potential in advancing super-resolution techniques for SAR images.

FORMATION OF CITY IDENTITY BY MEANS OF GRAPHIC DESIGN (THE EXAMPLE OF SAINT PETERSBURG)

The article considers the problems of forming and development of visual environment of a large European city on the example of Saint Petersburg. Human interaction with architectural and graphic components of urban space is analysed in context of visual perception. The peculiarities of the impact of urban visual information objects on human perception of urban environment are revealed. Particular attention is paid to the influence of the visual information environment on the formation of the aesthetic image of the city. The specifics of legislative regulation of the quality of visual information environment in Saint Petersburg are highlighted.

Complex Information Objects Repository as a Component of the Semantic Analitic-Information Web-Oriented Systems Development

Complex Information Objects Repository as a Component of the Semantic Analitic-Information Web-Oriented Systems Development

Knowledge graph representation method for semantic 3D modeling of Chinese grottoes

The integration of 3D geometric models with semantic information significantly improves the applicability and comprehensibility of cultural heritage. The semantic 3D modeling of Chinese grottoes poses challenges for individuals without expertise in cultural heritage due to gaps in domain knowledge and discrepancies in understanding. However, the existing domain ontology and knowledge graph provide an insufficient representation of the knowledge of Chinese grottoes. To overcome these obstacles, we propose a knowledge graph representation method to provide explicit knowledge for participants at different stages of semantic 3D modeling of Chinese grottoes, which includes schema layer construction and data layer construction. On the schema layer, we design a domain ontology named ChgOnto (Chinese Grottoes Ontology) that consists of four high-level concept classes: spatial object, informational object, digital device, and temporal object. Among the classes in the ChgOnto, the components (e.g., cliff wall, cave roof, cliff wall footing), elements (e.g., primary Buddha statue, pedestal, decoration), the properties (e.g., length, width, depth) of caves and niches in Chinese grottoes as well as the spatial relationships between them are all precisely defined. ChgOnto also reuse the classes from the renowned CIDOC CRM ontology in the cultural heritage field and GeoSPARQL in the geospatial domain, facilitating integration between the two subjects. Considering the schema layer as the conceptual data model, the data layer extracts knowledge from unstructured text through natural language processing tools to instantiate the abstract classes and fill the properties of the schema layer. Finally, the knowledge required for semantic 3D modeling of Chinese grottoes is expressed in the data layer by a knowledge graph in a fixed expression form. Dazu Rock Carvings, a World Heritage site in China, is selected as a case study to validate the practicality and effectiveness of the proposed method. The results reveal that our method offers a robust knowledge-sharing platform for the semantic 3D modeling of Chinese grottoes and demonstrates excellent scalability. The method proposed in this paper can also serve as an informative reference for other types of cultural heritage.

КОНЦЕПЦИЯ НООСУФИЗМА КАК ИНСТРУМЕНТ ИНТЕЛЛЕКТУАЛЬНОЙ МОДЕРНИЗАЦИИ

Доказывается, что для интеллектуальной модернизации Казахстана необходимо уделить повышенное внимание тем парадигмам развития науки и культуры, которые максимально полно отвечают его социокультурному коду. Показано, что существует возможность осуществить синтез идей В.И. Вернадского и практик, построенных на учении суфиев. Развитие идей В.И. Вернадского, в частности, нейросетевая теория ноосферы, позволяет, в частности, объяснить экстремально высокую эффективность деятельности суфийских орденов, которые фактически реорганизовали социокультурный код народов, населяющих огромную территорию от Алтая до Крыма. Инструменты, лежащие в основе суфийских практик, оказывали непосредственное воздействие на надличностный уровень переработки информации, существование которого также доказывается в рамках нейросетевой теории ноосферы на сугубо рациональной основе. Эти инструменты – уже на следующем витке исторического развития – могут быть использованы в целях интеллектуальной модернизации Казахстана, в чем имеется более чем острая необходимость. Синтез суфийских практик с идеями В.И. Вернадского, модернизированными с использованием современной теории нейроных сетей, приводит к концепции ноосуфизма, нацеленной на переход к когнитивному обществу за счет целенаправленного управления процессами, происходящими на надличностном уровне переработки информации. Важным направлением деятельности здесь является использование ресурсов профессионального коллективного бессознательного для повышения эффективности обучения в высшей школе. Дана трактовка обучения как направленной реконструкции интеллекта обучающегося. Основой для этого является тезис о дуальной сущности интеллекта и сознания человека, который также вытекает из нейросетевой теории ноосферы. Обоснована целесообразность издания учебников «ноосуфийского стиля», призванных обеспечить использование ресурсов надличностных информационных объектов. Сформулированы базовые критерии, которым должны отвечать такие учебники.

Exploration–Exploitation Tradeoff in the Adaptive Information Sampling of Unknown Spatial Fields with Mobile Robots

Adaptive information-sampling approaches enable efficient selection of mobile robots’ waypoints through which the accurate sensing and mapping of a physical process, such as the radiation or field intensity, can be obtained. A key parameter in the informative sampling objective function could be optimized balance the need to explore new information where the uncertainty is very high and to exploit the data sampled so far, with which a great deal of the underlying spatial fields can be obtained, such as the source locations or modalities of the physical process. However, works in the literature have either assumed the robot’s energy is unconstrained or used a homogeneous availability of energy capacity among different robots. Therefore, this paper analyzes the impact of the adaptive information-sampling algorithm’s information function used in exploration and exploitation to achieve a tradeoff between balancing the mapping, localization, and energy efficiency objectives. We use Gaussian process regression (GPR) to predict and estimate confidence bounds, thereby determining each point’s informativeness. Through extensive experimental data, we provide a deeper and holistic perspective on the effect of information function parameters on the prediction map’s accuracy (RMSE), confidence bound (variance), energy consumption (distance), and time spent (sample count) in both single- and multi-robot scenarios. The results provide meaningful insights into choosing the appropriate energy-aware information function parameters based on sensing objectives (e.g., source localization or mapping). Based on our analysis, we can conclude that it would be detrimental to give importance only to the uncertainty of the information function (which would explode the energy needs) or to the predictive mean of the information (which would jeopardize the mapping accuracy). By assigning more importance to the information uncertainly with some non-zero importance to the information value (e.g., 75:25 ratio), it is possible to achieve an optimal tradeoff between exploration and exploitation objectives while keeping the energy requirements manageable.