Data Processing Facilities Research Articles

Direct energy deposition for smart micro reactor

ABSTRACT Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensuring their safe operation necessitates frequent inspections, which can be challenging for practical efficient management. This study proposes a novel approach using direct energy deposition to incorporate an optical fiber sensor into MR components, enabling real-time monitoring with artificial intelligence. The embedded optical fiber generates real-time data that allows for AI-driven in-vivo thermal deformation analysis. Our smart MR component can detect structural anomalies, identify abnormal operations, and assess operational conditions through augmented reality interfaces and AI technology.

ANALYSIS OF CORRECTIVE MAINTENANCE MONITOR CCA TOOL DVOR SELEX TYPE-1150A

In the aviation industry, navigation has a crucial role in supporting the smooth running of flight routes to maintain the safety and security of air transportation. Perum LPPNPI Pekanbaru branch provides communication, Navigation, Surveillance, and Data Processing facilities to ensure flight safety, regularity, and comfort. One of the navigation facilities available at Perum LPPNPI Pekanbaru branch is the Doppler VHF-Omnidirectional Range (DVOR), an air navigation system control tool that can guide aircraft to land precisely at the destination airport by providing information in the form of azimuth or artificial bearing. This research aimed to analyze the care and maintenance system for DVOR equipment, and identify several potential problems that have arisen during the operation of DVOR equipment at Perum LPPNPI Pekanbaru branch. In this research, evaluations and observations were carried out to assess the level of DVOR maintenance in accordance with Advisory Circular CASR Part 171-12. This research focused on evaluating Corrective Maintenance Monitor (CMM) analysis on DVOR Selex Type-1150A equipment at Perum LPPNPI Pekanbaru Branch. DVOR is a critical air navigation system that requires effective corrective maintenance. The method used in the research is procedural analysis of equipment maintenance as in research conducted by Widasari Mutiara, this research also focused on CMM evaluation, identification of potential problems, and performance analysis to improve maintenance efficiency. Research adopted a qualitative research method with a descriptive approach, because the data collected is textual in nature. This research method involved CMM system inspection, equipment maintenance analysis, and interviews with engineering personnel. The research results provide insights for improving corrective maintenance procedures, and increasing the availability and reliability of the DVOR system. The implications of these findings support safe and reliable flight operations at Perum LPPNPI Pekanbaru Branch.

JIRIAF: JLAB Integrated Research Infrastructure Across Facilities

The JIRIAF project aims to combine geographically diverse computing facilities into an integrated science infrastructure. This project starts by dynamically evaluating temporarily unallocated or idled compute resources from multiple providers. These resources are integrated to handle additional workloads without affecting local running jobs. This paper describes our approach to launch best-effort batch tasks that exploit these underutilized resources. Our system measures the real-time behavior of jobs running on a machine and learns to distinguish typical performance from outliers. Unsupervised ML techniques are used to analyze hardware-level performance measures, followed by a real-time crosscorrelation analysis to determine which applications cause performance degradation. We then facilitate bad behavior by throttling these processes. We demonstrate that problematic performance interference can be detected and acted on, which makes it possible to continue to share resources between applications and simultaneously maintain high utilization levels in a computing cluster. For a case study, we relocated the CLAS12 data processing workflow to a remote data processing facility, preventing file migration and temporal data persistency.

Methodical approaches to standardization of data acquisition, storage and analysis in management of geotechnical systems

The authors review the existing data logging sources in management of geotechnical systems in different functioning periods and point at the relevance of new tools for safe and efficient solid mineral mining based on the methods of predictive analytics. In modern conditions, the introduction of data acquisition and processing facilities toward advancement of the predictive analytics techniques is meant for the on-going commercial operations after approval of their economic efficiency. As a consequence, companies operate for many years without collecting and storing valuable data on geotechnical systems. Moreover, the versatility of data acquisition/processing program suppliers makes integration of the programs impossible. Considering the existing instructional approaches to the behavior assessment of a geotechnical system, prediction of its stable functioning scenarios, analysis of its malfunction causes and to the introduction of corrective effects, it is required to enhance accuracy of predictive modeling by means of improving quality of data on the geotechnical system and allied facilities. The article offers the review of international data acquisition standards and open interfaces for introduction and control of information accumulation and storage systems in the mining industry. The classification of geotechnical system information sources is proposed and used as the framework for the methods of aggregation, processing and conversion of information in data banks of a mining company, as well as for the quantitative assessment of influence exerted by every physical object of a geotechnical system, personnel and environmental parameters on the process flow efficiency. The introduction of the proposed classification enables foreseeing sequences of introduction of the equipment and tools to acquire and process the required volume of data at the mine project stage, and allows machine learningbased study into causes of incidents, accidents and induced disasters at the stage of mine operation, alongside with development of preventive measures at hazardous production facilities in mineral mining. The routes of developing standards for the science-based and adjusted approach to engineering information systems for the mining industry are identified.The study was supported by the Russian Science Foundation, Grant No. 22-17-00142.

Low cell number ChIP-seq reveals chromatin state-based regulation of gene transcription in the rice male meiocytes.

Low cell number ChIP-seq reveals chromatin state-based regulation of gene transcription in the rice male meiocytes.

"VEHICLE CONTROL SPEED BASED ON GPS MATCHING POSTED SPEEDS/IMAGES "

In this paper we are going to control vehicle maximum posted speed without human interaction. Detecting the speed of the vehi cle is an important aspect for observing speed limitation law and traffic condition. Safety is very important to reduce the occurrence of accidents in speed restricted zones. According to recent surveys an accidents happen near the school zones, hospital zones and sharp turns. The GPS map plays a major role in this research. The Technology includes GPS navigation receiver, GPS computer ,vehicle engine computer, map database ,speed sensor ,video display, image recognition system, Posted speed Board. The vehicle location,longitude,latitude and speed of the vehicle is identified by GPS computer. The database processing facility can be local or remote is managed by GPS computer. The data processing facility processes the GP S data and obtains the location and maximum posted speed of the vehicle. The comparison between the vehicle speed and the maximum Posted speed is performed by th e GPS computer and engine computer, which signals the speedometer to decrease the vehicle speed according to the Posted Speed i f it exceeds the maximum posted speed. RFID is used in tunnels and covered regions where GPS signal cannot be reached. Images recognition is done by Deep Learning and Machine Learning algorithms.

The Study of Diluted Magnetic Semiconductor: The Case of Manganese Doped Gallium Nitride

The diluted magnetic semiconductor, (Ga, Mn) N has recently attracted intense research interest for the purpose of spintronics application. The material is believed to circumvent the difficulty of combining data processing and mass storage facilities in a single crystal besides solving non-volatility problems. The concentration x, of Mn that substitutes for a fraction of Ga in the compound is thought to contribute a large concentration of magnetic moments and holes. The material studied is focused on dilute magnetic semiconductors (DMS) like <i>Ga_1-XMn<SUB>X</SUB>N</i> that play a key role in semiconductor spintronics. Due to their ferromagnetic properties they can be used in magnetic sensors and as spin injectors. The basic problems for applications are, however, the relatively low Curie temperatures of these systems. Therefore, we focus on the understanding of the magnetic properties and on a reliable calculation of Curie temperatures from first principles. We have developed a theoretical framework for calculating critical temperatures by combining first principles calculations and in terms of the Ruderman–Kittel–Kasuya–Yosida quantum spin model in Green’s function approach. Magnetic properties of the group-III nitride semiconductors are introduced here with basic material parameters (temperature, concentration, heat capacity, etc. Temperature dependencies of the spin wave specific heat, inverse magnetic susceptibility and reduced magnetization are determined. Therefore, the dependence of the Neel temperature on the manganese ion concentration is linear thus for our calculation the highest Neel temperature obtained T=146.3k within the concentration of 0.2.

Sistem Penjualan Sembako Toko Sarwodadi

The structure of data processing and information systems that are still manual at the dc Sarwodadi store make the system run ineffective, so this causes various problems. Another problem is the system of selling, purchasing, ordering goods, and stocking goods which are still difficult to organize, causing errors in counting. For this reason, a sales application system was made which aims to manage and process data stored with a database system to prevent data redundancy causing losses to the store. This research method uses the SDLC method. The SDLC method is a method with the process of system development and design to operation and maintenance. Data storage using MySQL type database. The Sarwodadi dc Store Sales Application System has data processing facilities for purchasing, selling, ordering goods, and stocking goods along with report data. So that with the new system, 83.3% of participants stated that the whole system was feasible and good to use in helping the Sarwodadi store to process data, make reports, and make it easier to get information about processed data both for the Sarwodadi store it self

A Satellite-USV System for Persistent Observation of Mesoscale Oceanographic Phenomena

Traditional tools and methodologies for mesoscale observation of oceanographic phenomena are limited by under-sampling and data latency. In this article we evaluate three different scenario variants of an architecture for how heterogeneous sensor nodes can be integrated with satellite remote sensing. Independent space and marine sensing platforms are interconnected either directly or by means of a ground-based mission control center responsible for data processing, relay, and coordination of the assets. A wave-propelled unmanned surface vehicle (USV) persistently collects in situ data of the targeted phenomenon. In two variants of the architecture, a dedicated small satellite acts as a sensor node, a data processing facility and a communication node. We have used a System-of-Systems (SoS) modeling approach coupled with operational simulations in different locations on Earth, in order to support the proposed methodology and investigate quantitatively the reduction the data latency to end-users. Through a combination of field experiments and simulations we estimate how the different scenarios perform with respect to providing remote sensing data that are used to create a measurement and navigation plan for the autonomous vessel.

ESA’s Space-Based Doppler Wind Lidar Mission Aeolus – First Wind and Aerosol Product Assessment Results

The European Space Agency (ESA) wind mission, Aeolus, hosts the first space-based Doppler Wind Lidar (DWL) world-wide. The primary mission objective is to demonstrate the DWL technique for measuring wind profiles from space, intended for assimilation in Numerical Weather Prediction (NWP) models. The wind observations will also be used to advance atmospheric dynamics research and for evaluation of climate models. Mission spin-off products are profiles of cloud and aerosol optical properties. Aeolus was launched on 22 August 2018, and the Atmospheric LAser Doppler INstrument (Aladin) instrument switch-on was completed with first high energy output in wind mode on 4 September 2018 [1], [2]. The on-ground data processing facility worked excellent, allowing L2 product output in near-real-time from the start of the mission. First results from the wind profile product (L2B) assessment show that the winds are of very high quality, with random errors in the free Troposphere within (cloud/aerosol backscatter winds: 2.1 m/s) and larger (molecular backscatter winds: 4.3 m/s) than the requirements (2.5 m/s), but still allowing significant positive impact in first preliminary NWP impact experiments. The higher than expected random errors at the time of writing are amongst others due to a lower instrument out-and input photon budget than designed. The instrument calibration is working well, and some of the data processing steps are currently being refined to allow to fully correct instrument alignment related drifts and elevated detector dark currents causing biases in the first data product version. The optical properties spin-off product (L2A) is being compared e.g. to NWP model clouds, air quality model forecasts, and collocated ground-based observations. Features including optically thick and thin particle and hydrometeor layers are clearly identified and are being validated.

High-Resistance Grounding Design for Industrial Facilities: Providing Continuity of Service in Complex Distribution Systems

Continuity of service is crucial in most industrial facilities. Insulation failure due to a line-toground fault is the most prevalent cause of service interruption in such facilities. Solidly grounded systems create fatal and costly arc-flash hazards that cause substantial damage at the fault location. Resistance grounding limits the line-to-ground fault current. This practice has been in use for years and is widely applied in industry. This article explores the application of resistance grounding in hospitals, emergency power systems, and data processing facilities, where the distribution systems are complex and involve various sources, such as multiple transformers, generators, or a combination of both. It also proposes solutions for the integration of high-resistance grounding (HRG) in the distribution system design of various industries to increase the reliability and safety of these systems. Application examples are presented, and the concept of hybrid grounding in low-voltage (LV) and medium-voltage (MV) systems is discussed.

Models of organizing research data storage and usage: basic principles, processes and implementation mechanisms

Introduction:Storage and usage of research data become more sophisticated as their quantity and diversity grow. Research data have a number of features which do not allow you to copy the approaches and tools used in commercial or governmental data-processing facilities. Providing researchers with specialized tools for working with data is an urgent task in research management.Purpose:Identifying and describing the basic principles for working with research data, the processes and stages of this work, the mechanisms for implementing the principles and solving the problems of organizing the storage and usage of research data.Results:We review and discuss the principles on which the storage and usage of research data can be based, including the FAIR Data Principles. The main goal of organizing the work with research data and the central focus of its principles is the effective use and reuse of this data. We present a hierarchy of mechanisms which can be applied when working with research data for solving scientific and organizational problems. The main processes and lifecycle stages of scientific data and research processes based on them are listed in the article. A number of well-known models of such lifecycles are considered. It is proposed, instead of trying to build a universal model, to use or create models based on the presented list of stages for specific cases or classes of data-driven research.Practical relevance:The hierarchy of concept classes developed in the work for the field “Organizing the storage and usage of scientific data” will be used as an ontology core, and for the development of regulatory documents, recommendations and information systems supporting data-driven research.

АНАЛІЗ МЕТОДІВ РЕАЛІЗАЦІЇ АРИФМЕТИЧНИХ ОПЕРАЦІЙ У КЛАСІ ЛИШКІВ

У статті розглядаються особливості реалізації арифметичних операцій непозиційної системи числення у класі лишків. Реалізація арифметичних операцій у класі лишків виконуються незалежно і паралельно над однойменними розрядами (залишками), а структура операційного пристрою комп'ютерних засобів обробки даних представляється у вигляді незалежних обчислювальних трактів, кожен з яких функціонує за своєю основою mi класу лишків. Розглядаються та аналізуються методи реалізації модульних арифметичних операцій у класі лишків. Результати аналізу основних властивостей класів лишків дозволяють зробити висновок про те, що комп'ютерних засобів обробки даних, які функціонують у класі лишків, відносяться до швидкодіючих та надійних об'єктів. Зазначені особливості структури та принципів функціонування комп'ютерних засобів обробки даних у класі лишків сприяють розробці ефективних й оптимальних методів резервування, що не мають аналогів в позиційних системах числення.

Framework of cloud web services for processing remote sensing data

We consider a distributed network of cloud web services for processing satellite data, which provides data processing facilities for Earth remote sensing within SaaS model. In fact, this is a set of web services that implement the functional modules of the PlanetaMonitoring remote sensing data processing system.

Optimal Placement of Cameras in a Distributed Video Surveillance System

Актуальность темы определяется широким развитием распределенных систем видеонаблюдения, характеризующихся большим количеством видеокамер, расположенных на большой территории. Эффективность распределенных систем видеонаблюдения зависит от множества факторов, таких как используемые алгоритмы распознавания, технические характеристики камер и средств обработки данных. Кроме того, качество системы видеонаблюдения во многом зависит от топологии размещения видеокамер. Целевая функция минимизирует количество камер, обеспечивая при этом необходимый уровень достоверности распознавания событий. Считается, что качество распознавания в основном зависит от пространственного разрешения распознанного объекта на видеокадре. Этот параметр определяется техническими характеристиками камеры и расстоянием до распознанного объекта. При пересечении поля зрения нескольких камер и возможности комбинирования их результатов увеличивается оценка достоверности распознавания объектов. Таким образом, при размещении камер в контролируемой зоне необходимо учитывать множество параметров: координаты, углы обзора, области пересечения поля зрения камер. Данная задача характеризуется высокой вычислительной сложностью. Поэтому для получения результата за приемлемое время предложен алгоритм оптимизации топологии на основе метода роя частиц. Представленный подход к оптимизации топологии размещения камер сократит время проектирования системы видеонаблюдения.

Pemanfaatan RinfoSheet Sebagai Media Informasi Laporan Penjualan Barang pada Raharja Internet Cafe

Raharja Internet cafe (RIC) merupakan tempat pelayanan di Perguruan Tinggi Raharja yang dikhususkan untuk membantu kegiatan perkuliahan Mahasiswa/i Perguruan Tinggi Raharja. Laporan penjualan barang pada RIC merupakan informasi yang sangat dibutuhkan guna kelancaran usaha. Namun RIC masih menggunakan Microsoft Excel dalam melakukan penginputan laporan, yang mana laporan tidak dapat tersimpan secara otomatis sehingga memungkinkan data yang sedang di input hilang, kemudian pada saat akan memberikan laporan penjualan kepada manager harus di cetak/printout terlebih dahulu, tentunya hal ini sangat tidak efektif karena akan mengakibatkan penumpukan kertas. Oleh karena itu, diperlukannya pemanfaatan RinfoApps yaitu RinfoSheet, sebuah fasilitas pengolah angka dan data dimana pengguna dimudahkan untuk membuat dan berbagi data di web dan dapat diakses dimana saja dan kapan saja, baik melalui komputer, smartphone maupun tablet. Dalam penelitian ini, ditemukan 2 (dua) permasalahan pada sistem yang ada sebelumnya dan didukung 4 (empat) metode penelitian yaitu metode observasi, analisa, studi pustaka dan implementasi. Hasil akhir yang di capai dari penelitian ini yaitu pembuatan laporan penjualan bisa dilakukan secara online dan laporan pun akan tersimpan secara otomatis, serta dapat di share sehingga tidak perlu mencetak laporan untuk di berikan kepada manager.

Testing on real and full integrated digital roads paves the way for the future of mobility

The world of automated driving is coming closer to reality. As the exciting possibilities of this new technology unfold, there is a growing need for testing and verifying the components and systems of automated driving in diverse and complex scenarios. ALP.Lab GmbH (Austrian Light Vehicle Proving Region for Automated Driving) has developed a sophisticated testing environment to meet this demand. Along with public roads, proving grounds, and facilities for data recording and processing, ALP.Lab offers a comprehensive virtual testing environment and a unique test laboratory. As an alliance of automotive supplier companies (AVL, Magna), scientific partners (Joanneum Research, TU Graz, Virtual Vehicle) and cooperation partners as ASFINAG, TTTECH and many others, ALP.Lab will meet the challenges that lie ahead for the future of driving.

Meteorological service for civil defense tasks

The place and role of meteorological service for solving problems of population protection against the impact of natural disasters, technological accidents and modern means of destruction (fires, explosions, and terrorist actions) are considered. The shortcomings of the calculation technique and the radar method considered for computing of average wind and explosion (nuclear object accident) power are shown. The ways for solving this problem are developed. The importance and relevance of solving problems related to meteorological service for headquarters of the Civil Defense and the Ministry of Emergency Situations are emphasized, including the necessity of problem solving due to implementation of automatical data computation for meteorological service, development and installation of high-speed meteorological data processing facilities. Proposals to improve the collection, processing and analysis of meteorological and upper-air data required for prediction and assessment of radiation and biological (bacteriological) environment in order to protect the population and the troops are presented.

Transient electromagnetic surveys for highresolution near-surface exploration: basics and case studies

Transient electromagnetic (TEM) surveys have been used broadly in Russia and worldwide for engineering geology, groundwater prospecting, and other near-surface applications (Bucharsky et al., 1986; Plotnikov and Kozhevnikov, 2004; Agafonov et al., 2013; Ranieri et al., 2005; Shaaban et al., 2016, etc.), as well as for petroleum and mineral exploration (Mandelbaum et al., 1983; Korolkov, 1987; McNeill, 1980). Voltage decay patterns are highly sensitive to the presence of conductors associated with ore bodies, water saturation, clay, etc. Another advantage of the method is that it does not need galvanic grounding and works in any climate and terrain. The resolution of shallow transient electromagnetic (sTEM) data has improved greatly in the past two decades due to breakthrough in micro-electronics providing advanced facilities for data acquisition and processing (nanosecond sampling rates, high-resolution ADC, etc.). Extensive sTEM surveys at a density reaching 33 points per km2 have demonstrated high performance in solving diverse problems of geosciences from structural mapping to environmental monitoring within a range of depths from 10 to 500-600 m.

Virtual Simulation of Seismic Forward Data Processing Based on LabVIEW

For those who have access to seismic exploration principles and seismic data processing initially, there are essential difficulties. The difficulties include the great amount of seismic data, complicated processing procedure, long processing period as well as costly software and facilities for data processing. It is an important issue for how to make the beginners understand and master the fundamental procedures of seismic data processing easily, and how to make the processing procedures just look like to be done with microcomputer. This article is emphasized on virtual simulating seismic forward data processing based on LabVIEW platform and LabSQL. LabSQL is LabVIEW’s database kit, which is supplied by the 3rd party for accessing the database. It is beneficial for beginners to control processing procedure efficiently. This method is worth being promoted.