Development Of System Technology Research Articles

TECHNOLOGICAL BASICS OF MULTIFUNCTIONAL BUILDING SYSTEMS

Theoretical principles and regularities are the basis of the development of technological systems in construction. The technology of building and construction is a universal set, which is described by a large number of construction technologies. The latter, in turn, consist of a system of knowledge about the organization of work, structure, methods and ways of performing construction processes, mechanization and quality of work.Production building systems, as a class of functional systems, are created and designed to implement certain tasks, which can be specialized (one task) or multifunctional (several tasks). Multifunctional technological systems are considered in the theories of research operations for the implementation of production building systems of various levels and purposes, as well as system engineering, decision-making methods and optimization.The result of the formation of such systems is the final useful result, which is achieved through interaction and, accordingly, the mutual influence of its participants. Complex systems divide subsystems in order to optimize their elements by formalizing design procedures and create a method for designing multifunctional systems.The system in the form of a construction process has its own structure with a corresponding hierarchy - subordination of its elements with a multi-level structure. The complexity of construction processes determines the level of its structure.Implementation of technological systems through various transformations of labor objects into labor products. The change in the properties of the transformation object takes place in technological processes by the implementation of relevant subprocesses and operations.A flexible approach to the design of multifunctional technological systems is possible when using the universal capabilities of construction and road machines by equipping them with additional interchangeable working bodies

APPLICATION OF PHASE METHODS TO SEARCH FOR HYDROCARBONS
 BASED ON AMPLITUDE-MODULATED SIGNALS

The characteristics of an anisotropic medium over hydrocarbons are studied using phase methods based
 on amplitude-modulated signals. Experimental studies of the phase characteristics of the surface impedance in the
 mode of amplitude-modulated signals have been carried out. Two components of the surface impedance are analyzed
 for this mode. A study was made of the influence of probing signal modes on the characteristics of an anisotropic
 medium over deposits based on a two-channel measurement scheme. A method for registering the boundaries
 of hydrocarbon deposits is proposed, based on the use of phase methods for searching and identifying
 hydrocarbon deposits (HCW) in the mode of amplitude-modulated signals. The research results can be used
 in the development of radio engineering systems for searching and delineating oil and gas deposits and their
 application for exploration geophysics.

Desain dan Implementasi Aplikasi Absensi Kepegawaian Berbasis Web Menggunakan Framework Laravel di Diskominfo Provinsi Jawa Barat

Abstract—In all parts of the work division at Diskominfo, West Java Province, many information systems have been involved to support a series of work activities and information asset processing. As in one part of the division, namely the Employee and Public Relations Subdivision, where all staffing activities are not far from processing employee data. But the existing Employee Information System, especially in the employee attendance data processing feature, is still not well organized and not equipped with features that are more supportive for recording the attendance data. Some features that are not perfect, for example, are the daily attendance data feature, employee leaves data, and daily late and weekly late. In addition, further processing of data also still uses the help of Microsoft Excel or manually entering data and recapitulating data, so the processing takes a long time and is not efficient in the process. Given these problems, the authors designed a system design and implemented it into a new Employee Attendance Application. The purpose of designing this application is to create an information system that further optimizes the process of processing employee attendance data at West Java Diskominfo using system development technologies such as the Laravel Framework, PostgreSQL for database management, and using the Rest API for data integration.

Towards Next Generation of Pedestrian and Connected Vehicle In-the-Loop Research: A Digital Twin Co-Simulation Framework

Digital Twin is an emerging technology that replicates real-world entities into a digital space. It has attracted increasing attention in the transportation field and many researchers are exploring its future applications in the development of Intelligent Transportation System (ITS) technologies. Connected vehicles (CVs) and pedestrians are among the major traffic participants in ITS. However, the usage of Digital Twin in research involving both CV and pedestrian remains largely unexplored. In this study, a Digital Twin framework for CV and pedestrian in-the-loop simulation is proposed. The proposed framework consists of the physical world, the digital world, and data transmission in between. The features for the entities (CV and pedestrian) that need digital twining are divided into external state and internal state, and the attributes in each state are described. We also demonstrate a sample architecture under the proposed Digital Twin framework, which is based on Carla-Sumo Co-simulation and Cave automatic virtual environment (CAVE). A case study that investigates Vehicle-Pedestrian (V2P) warning system is conducted to validate the effectiveness of the presented architecture. The proposed framework is expected to provide guidance to the future Digital Twin research, and the architecture we build can serve as the testbed for further research and development of ITS applications on CV and pedestrians.

ECONOMIC BEHAVIOR AND ECONOMIC SECURITY OF AN INDIVIDUAL IN THE CONDITIONS OF WAR RISKS

Definitions of the concepts "economic behavior of a person" and "economic security of a person" are proposed. The economic behavior of a person is defined as a set of motives and economic decisions made by a person under their influence, which determine the priority and degree of importance of satisfying his economic needs, and the means and tools that will be used to cover them. The economic security of a person is understood not as the absence of economic challenges, dangers and risks for a person, but as the state of his/her economic life, which was the result of his/her rational economic behavior, and allows satisfying his/her economic needs and interests. Relationships between economic behavior and economic security of a person have been established. It is argued that economic behavior is determined by the conditions in which a person grew up and lived, and found himself at a specific moment in time. Economic behavior depends on the external environment ‒ the state economic policy, the development of the social sphere, the presence or absence of military actions, the development of technological system, the level of integration of the national economy into the global competitive space, the quality of education, etc. On the other hand, patterns of economic behavior are formed under the influence of psychological characteristics of a person's perception of the world, his/her upbringing, the level of well-being and the model of handling financial resources that were inherent in the family in which a person was born. The structural elements of a person's economic security are characterized and the motives of economic behavior and factors influencing the state of economic security of a person in war conditions are summarized. The components of human economic security include: financial, informational, material, social, intellectual, communicative, legal, physical, technological, food components. The main motives of economic behavior of people during the war are: the need to save financial resources, the desire to restore spent savings; fear of an unknown economic future; search for alternative sources of income; the desire and need to help loved ones, including financially; predatory and parasitic perception of external financial and material help. Peculiarities of economic behavior of people are established, taking into account the realities of the military situation and the influence of threats and risks of war.

Evaluation of the Mental Workload of PSIT Employees at SIT XYZ Institutions

The results of the Subjective Self Rating Test (SSRT) questionnaire in the Information and Technology System Development section showed that workers experienced symptoms of severe head, fatigue, drowsiness, yawning, forgetfulness, awkwardness and stiffness. This indicates a problematic workload. This study aims to see the level of mental workload of each staff. The method in this study used NASA-TLX. Based on calculations, it was found that staff 4 has a mental workload score of 84.67 which means it is very high, staff 6 has a mental workload score of 27.33 with a low category, and for other staff has a high mental workload, which is a range of values from 66 to 74.67.

A Study of Factors Influencing Customers' Intention to use Mobile Phones for E-Payment in Klang Valley, Malaysia

In the current market, usage of e-payment has been dominant instead of the physical cash payment method. Money is transferred out from a bank account using a debit card, credit card, or online banking to pay people using the e-wallet, offering the effortlessness of a cashless payment method. The Internet turned out to be the pillar technology, particularly for the retail industry, electronic payments, mobile payments, and banking systems initiated to develop. Beforehand, cashless transactions are just individuals making payments by using debit or credit cards, which are the main initiative of the development of banking system technology. Due to the era of globalization, the utilization of banking system technology between banks and third parties, debit, and credit debit cards can also be considered e-payments. The study's objectives are to identify the effect of perceived compatibility, social influences, personal innovativeness, and facilitating conditions on customer intentions among working adults who use mobile phones for e-payment in Klang Valley. This research shows that the use of the UTAUT model is helpful to assist academicians and marketers as a further research purpose to understand the consumer’s intention towards the acceptance of new technology which is e-payments. From this study, the finding shows that positive sign which is seen across the independent variables of social influence perceived compatibility, and facilitating condition. There is no relationship between personal innovativeness and customers’ intention to use mobile phones for e-payment in Klang Valley. Quantitative data had been obtained through the distribution of online questionnaires to 384 targeted respondents as part of the methodology of this research. In this study, three data analysis models have been applied in data analysis descriptive analysis, multiple linear regression, and Pearson correlation coefficient analysis. The survey was analysed through SPSS version 27.

A Review on Research and Technology Development of Green Hydrogen Energy Systems with Thermal Management and Heat Recovery

This paper presents a review of recent research and development progress on green hydrogen energy systems and associated thermal management and waste heat recovery technologies. First, hydrogen production methods are briefed. Second, various electrolysis systems used for carbon free hydrogen production from renewable and nuclear resources are discussed. Then, hydrogen utilization using proton-exchange fuel cells is scrutinized. Next, hydrogen energy systems integrated with metal hydride energy storage are elaborated. A focus of this review is on thermal management and process intensification technologies for hydrogen energy systems and integrated metal hydride hydrogen storage technologies. Various process and heat transfer enhancement techniques for heat removal and utilization are presented. Advanced cooling technologies for hydrogen energy systems such as two-phase and boiling for cooling, microchannels for heat removal, CO2 air conditioner and using nanofluids for heat removal are discussed. Finally, heat recovery technologies in green hydrogen energy systems are summarized. This review has also identified future research and technology development needs for green hydrogen energy utilization, thermal management, and heat recovery systems.

Dialectics of the Russia agro-industrial complex technologies

The article deals with some aspects of future technologies creating of the Russian agro-industrial complex. The focus is on a synergistic approach to the complex self-organizing technological systems for food production development. Issues in discussion are the prospect of a new industrialization of the agro-industrial complex (AIC); general principles and tasks of applied philosophy; dialectical spiral as a model of technology development; the dynamics of the agro-industrial complex technological systems development from the point of view of the dialectical method; features of the process of self-organization of AIC technologies as complex systems; analysis of directions for the development of agro-industrial complex technologies; interpretation of the Basic Laws of Dialectics in terms of the development of agro-industrial complex technologies in the 21st century; the feasibility and conditions for the creation of complexes "Agro-Food Technology" in the agro-industrial complex as a way to the Sixth technological order. Special focus is paid to the dialectical complication of AIC technologies.

Mathematical modeling and experimental validation of bifacial photovoltaic–thermal system with mirror reflector

This research examines the feasibility of employing bifacial photovoltaic (bPV) panels on PVT solar collectors to improve electrical efficiency. Bifacial PVT (bPVT) collector with a V-groove mirror reflector is developed in this paper. The mathematical model is developed based on energy balance equations by using the inverse matrix method. The experimental findings are compared with the theoretical results to verify the mathematical model. The experiments on a bPVT collector are conducted at different mass flow rates and solar radiation intensities in the range of 0.032–0.092 kgs−1 and 508–820 Wm−2, respectively. The findings show that the temperature differential and bPV panel temperature decrease as the mass flow rate increases. Consequently, this adds to the increased electric and thermal energy of a bPVT collector. The theoretical findings report an overall performance of 58.2% at mass flow rate of 0.092 kgs−1 and solar radiation of 820 Wm−2. According to the experimental analysis, the highest energy efficiency obtained is 59.24% at the same parameter. In conclusion, this research contributes to the development of PVT collector system technology where the theoretical and experimental studies have proven the feasibility to integrate the bifacial PV and reflector on PVT solar collectors.

A Review of the use of Web-based Climate Information Systems for Agriculture Purposes

<p>The development of information system technology is needed in facing current and future agricultural challenges. An integrated agricultural information system is needed based on climate information system technology in answering this challenge. The Indonesian Agency for Agricultural Research and Development Ministry of Agriculture has developed a web-based Indonesia Integrated Cropping Calendar Information System (ICCIS). The ICCIS provides information for users in preparing planting plans. Likewise, Jaxa's Satellite-based Monitoring Network system (JASMIN-JAXA) web application that uses a satellite database covers all provinces in South Asia, Southeast Asia, and East Asia. This paper aims to review the use of web-based climate information systems in the ICCIS and the JASMIN-JAXA web-based application. Integrated climate information system in ICCIS, among others: flood estimation, drought and crop pests, prediction dry season and rainy season, district-level monthly rainfall prediction map. While JASMIN is a map (rainfall, drought index, soil moisture, groundwater index, solar radiation, surface temperature, and vegetation index) with time series and data sources. Both are able to monitor climate developments for agricultural purposes, dynamic, and growing. The importance of updating and verifying data in accordance with field conditions and equipment maintenance in the system is to be continuously improved to get benefits and accuracy of results in accordance with the interests of agriculture.<strong></strong></p>

Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

Rapid developments in smartphones and Global Positioning System (GPS) technology have provided a new method for travel data collection. People’s travel trajectories can be passively collected through smartphones with built-in GPS sensors and processed to infer important attributes of travel behavior such as trip destination purposes. This paper examines the feasibility of using discrete choice models and tree-based machine learning models for trip purpose inference. Using smartphone GPS trajectories and land-use data that are open-sourced for academic research, four models are developed to classify trip destination purposes into one of thirteen categories. The models include multinomial logit, mixed logit, random forest, and gradient boosting decision tree. Because the data set is significantly unbalanced with more than 50% of the trips being home or work trips, a two-stage modeling process is applied to identify home and work trips first and then subsequently to classify trips for the remaining discretionary purposes. The results show that both discrete choice models and machine learning models can achieve more than 70% prediction accuracies for home trips and work trips, but less than 30% prediction accuracies for most of the discretionary trip purposes. The discrete choice models can accurately reproduce the market share distribution of the trip purposes, but the machine learning models fail to do so. The results imply that as purely data-driven models, machine learning models may not be the best solution for trip purpose inference because they lack the theoretical background provided by microeconomics and human psychology that are essential in explaining people’s travel and activity choices.

A set‐based approach for hierarchical optimization problem using Bayesian active learning

AbstractIn the development of complex engineering systems, many engineers from different disciplines collaborate to identify feasible designs that satisfy all system requirements. Analytical target cascading (ATC) is a method for the design optimization of hierarchical, multilevel systems and has been successfully employed in the design of complex engineering systems. In this paper, we propose a novel data‐driven set‐based ATC (SBATC) method for hierarchical design optimization problems using machine learning techniques. The proposed SBATC offers two advantages in engineering processes. First, it decomposes hierarchical design optimization problems into sets of suboptimization problems. The feasible regions of the suboptimization problems are explored and cascaded to lower‐level optimization problems. Using the set‐based approach, couplings between two adjacent levels in the optimization process are not required. Second, an efficient strategy is employed to determine feasible regions based on Bayesian active learning (BAL). In BAL, the Gaussian process (GP) of all cost functions is trained. An acquisition function that combines the probability of feasibility and entropy search is evaluated using posterior distributions of the trained GP. The acquisition function is maximized to generate new sampling points around the feasible regions by balancing the exploitation and exploration of the design space. To verify the effectiveness of the proposed method, numerical examples of hierarchical optimization problems are evaluated.

A Review of the use of Web-based Climate Information Systems for Agriculture Purposes

<p>The development of information system technology is needed in facing current and future agricultural challenges. An integrated agricultural information system is needed based on climate information system technology in answering this challenge. The Indonesian Agency for Agricultural Research and Development Ministry of Agriculture has developed a web-based Indonesia Integrated Cropping Calendar Information System (ICCIS). The ICCIS provides information for users in preparing planting plans. Likewise, Jaxa's Satellite-based Monitoring Network system (JASMIN-JAXA) web application that uses a satellite database covers all provinces in South Asia, Southeast Asia, and East Asia. This paper aims to review the use of web-based climate information systems in the ICCIS and the JASMIN-JAXA web-based application. Integrated climate information system in ICCIS, among others: flood estimation, drought and crop pests, prediction dry season and rainy season, district-level monthly rainfall prediction map. While JASMIN is a map (rainfall, drought index, soil moisture, groundwater index, solar radiation, surface temperature, and vegetation index) with time series and data sources. Both are able to monitor climate developments for agricultural purposes, dynamic, and growing. The importance of updating and verifying data in accordance with field conditions and equipment maintenance in the system is to be continuously improved to get benefits and accuracy of results in accordance with the interests of agriculture.<strong></strong></p>

Validation of S(α, β) thermal neutron scattering libraries using pulsed-neutron die-away experiments

Validation of the accuracy of S(α, β) thermal scattering law (TSL) evaluations for moderator materials is an important task for the development of high-performance nuclear engineering systems. Many recent thermal neutron scattering evaluations have had limited experimental validation. Like other nuclear data, validation of TSL libraries has historically been by integral criticality benchmarks. While sufficient for general study, these benchmarks often have limited sensitivity to the tested TSLs, and compounding uncertainties from other nuclear data can make validation ambiguous. In some cases, no criticality benchmarks exist that are sensitive to the TSLs of interest. With the development of high-performance next-generation thermal nuclear reactors, alternative validation of applicable TSLs is of high importance. By performing thermal neutron measurements via pulsed-neutron die-away (PNDA) experiments, along with parallel simulations, the integral performance of various TSL evaluations can be compared to measured experimental data. An experimental testbed using a D-T neutron generator, moderator sample, and thermal neutron detector was assembled at Rensselaer Polytechnic Institute. A Thermo Scientific D211 Deuterium-Tritium Neutron generator is used to generate 10 μs neutron pulses. Various targets of different sizes and geometries are used to moderate the neutrons. Multiple detector types and configurations were tested to optimize the experiment. The room-temperature polyethylene TSL evaluation is well vetted and is similar across different evaluations. This makes it an ideal evaluation to compare with the experimental results.

Development and Prospects of Long-Endurance Ring Laser Gyro Inertial Navigation System Technology

Development and Prospects of Long-Endurance Ring Laser Gyro Inertial Navigation System Technology

Effect of Psychosocial Factors in the Use of Telemedicine

Telemedicine is the impact of industrial revolution 4.0, which urges the development of health system technology to increase access to health services. This condition is contrary to the use of society, where consumers decide to stop using telemedicine services after several benefits. So this study aims to identify the effect of psychosocial factors on consumer decisions in utilizing telemedicine services—analytical observational research with a cross-sectional design. The population of this study was consumers aged 17–39 years who needed access to health services. Data collection was done by distributing online questionnaires that have been tested for validity and reliability. One hundred ninety-eight respondents' responses were obtained in January–May 2021 using descriptive analysis and statistical tests. Statistical research showed that consumer psychological factors, including motivation, psychology, and learning, influenced decisions to use telemedicine services (Sig<0.05). Meanwhile, the social factors of the reference group did not have a significant effect (Sig>0.05). High motivation, positive perception, learning, and family encouragement influence consumer decisions to use telemedicine services, whereas the reference group does not. This research can be used as a consideration for developers and decision-makers in promoting the use of telemedicine so that it continues to be used in the long term.

A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data

Anomaly detection in industrial processes is vital for yield improvement and cost reduction. With the development of sensor system and information technology, industrial big data provide opportunities to detect the abnormalities of processes and raise alarms by using operating parameters. However, the slight deviations in operating parameters and the insufficient abnormal data may hinder the effectiveness of existing anomaly detection models. To cope with the above problems, a more effective process anomaly detection framework combining shallow feature fusion learning with unsupervised deep learning is constructed. Specifically, the extracted statistical features that can reflect the slight deviations of operating parameters and the original measured features are firstly concatenated to enrich the available information. Then, a combined feature selection method of SMOTE & Tomek Links and random forest is developed to further discover the abstract features closely relevant to the quality characteristics of finished products with imbalanced data. After that, an unsupervised anomaly detection method is developed, where only normal process data are available for training the stacked denoising autoencoder. The utilized autoencoder can alleviate the effect of imbalanced data as the reconstruction error would be larger when the abnormality occurs. Lastly, the anomaly discrimination criteria, which consist of the monitoring index construction and the threshold determination, are formulated to detect the state of the production process. The experimental results demonstrate that the proposed method can detect the abnormalities effectively and achieves better performance than other state-of-art anomaly detection methods in commutator spot welding of a practical motor manufacturing process.

Towards quantifying the relative tectonic activity in the Trans-Yamuna segment of NW Himalaya

Owing to the increased availability of high-resolution satellite data and the rapid development of Geographic Information System (GIS) technology, the mapping of active faults and quantification of tectonic activity in inaccessible regions has exceedingly improved. We examined the tectonic activity in the Trans-Yamuna region of the NW Himalaya using geomorphic indices derived from a Digital Elevation Model (DEM). In addition, this study evaluates the sensitivity of four space-borne Digital Elevation Models (DEMs) with respect to TAN DEM-X (TerraSAR-X add-on for Digital Elevation Measurements). The Cartosat DEM, generated with a spatial resolution of 5 meters using state-of-the-art methods, demonstrated a reliable representation of topography. Geomorphic indices such as Asymmetry Factor (AF), Transverse Topography (TT), Hypsometric Integral (HI), Valley Floor width (Vf), Stream-length gradient index (SL), and Normalised steepness index (ksn) were computed for 41 sub-watersheds to determine the degree of tectonic activity. We infer that majority of the region is tectonically active, with upliftment continuing to occur in the north of the Main Boundary Thrust (MBT). Furthermore, the existence of mapped active faults north of the MBT further substantiates the fact that strain release is not only concentrated in the frontal Himalaya, but is distributed over a broader area above the decollement.

New tendencies of using SPSTL SB RAS collections in the service system

Modern society is characterized by permanent rapid and global transformations – economic, technological and cultural. The ways of creating, processing and storing information are radically changing, and a new generation of its consumers is being formed in accordance with this. For the professional community, this means the need for constant revision of both the foundations of the existence of the library social institute as a whole and the individual components of its activities. Such “reformatting” is impossible without serious research work that anticipates and justifies any significant changes in the library field. One of the central concepts and subjects of study in library science and practice today is information needs (IP), as well as a broader phenomenon – the information behavior of categories of information users served by the library. This article continues the tradition of studying the readers’ contingent, its search behavior and individual information needs, which has a rich history in the State Public Scientific Technological Library of SB RAS. The need to comprehend new social and technological transformations that primarily affect the interaction of the library and the reader has always been in the focus of its specialists. The analysis carried out by the authors of the study makes it possible, in particular, to determine subject trends, the degree of activity of readers’ groups, and presence of common and specific features in their structure. Differentiation of information needs according to these parameters reveals new trends in the use of SPSTL SB RAS collections and allows us to talk about the significant development of the service system technology of the Library from traditional forms of interaction with the reader to communication forms based on computer technologies, from the moment of its foundation up today. Further deepening of research in this area is important for the development and perfection of information services for its readers and users.