Data Management Subsystem Research Articles

A New Remote Sensing Service Mode for Agricultural Production and Management Based on Satellite–Air–Ground Spatiotemporal Monitoring

Remote sensing, the Internet, the Internet of Things (IoT), artificial intelligence, and other technologies have become the core elements of modern agriculture and smart farming. Agricultural production and management modes guided by data and services have become a cutting-edge carrier of agricultural information monitoring, which promotes the transformation of the intelligent computing of remote sensing big data and agricultural intensive management from theory to practical applications. In this paper, the main research objective is to construct a new high-frequency agricultural production monitoring and intensive sharing service and management mode, based on the three dimensions of space, time, and attributes, that includes crop recognition, growth monitoring, yield estimation, crop disease or pest monitoring, variable-rate prescription, agricultural machinery operation, and other automatic agricultural intelligent computing applications. The platforms supported by this mode include a data management and agricultural information production subsystem, an agricultural monitoring and macro-management subsystem (province and county scales), and two mobile terminal applications (APPs). Taking Shandong as the study area of the application case, the technical framework of the system and its mobile terminals were systematically elaborated at the province and county levels, which represented macro-management and precise control of agricultural production, respectively. The automatic intelligent computing mode of satellite–air–ground spatiotemporal collaboration that we proposed fully couples data obtained from satellites, unmanned aerial vehicles (UAVs), and IoT technologies, which can provide the accurate and timely monitoring of agricultural conditions and real-time guidance for agricultural machinery scheduling throughout the entire process of agricultural cultivation, planting, management, and harvest; the area accuracy of all obtained agricultural information products is above 90%. This paper demonstrates the necessity of customizable product and service research in agricultural intelligent computing, and the proposed practical mode can provide support for governments to participate in agricultural macro-management and decision making, which is of great significance for smart farming development and food security.

Determination of Priorities for the Development of Small and Medium Enterprises in the Province of South Sulawesi Using the Weighted Product Model

Small and Medium Enterprises (SMEs) are a sector that plays a vital role in running the national economy. The South Sulawesi Provincial Office of Industry as a regional government organization is tasked with administering affairs in the industrial sector of the South Sulawesi Province. In terms of developing SMEs, the South Sulawesi Provincial Industry Service has the right to determine priority industries that have the potential to be developed. The decision-making process at the South Sulawesi Industry Office is still experiencing several obstacles. This is due to the decision making does not use an objective method. In order to help solve this problem, we need a system that can be used to determine industrial development priorities. This research builds a web-based decision support system software regarding priority setting for SMEs development in South Sulawesi Province using the weighted product model. A method that will find a concluding solution by considering industry weights and criteria. This study uses the implementation of the data management subsystem using MySQL. Meanwhile, the implementation of the model management subsystem uses the weighted product model and the dialog management subsystem uses a website interface that can assist the South Sulawesi Provincial Office of Industry in determining priorities for the development of SMEs.

A Decision Support System for Course Materials Production and Inventory Management in the National Open University of Nigeria

This paper focuses on the design of a Decision Support System for Course Material production and inventory management in the National Open University of Nigeria. The proposed system has a model base management subsystem which is a component that differentiates Decision Support Systems from other types of Information Systems. The model base consists of a wide collection of models which include inventory models, production quantity models and a forecast model. Other components of the system including the data management subsystem, dialog generation and management subsystem and the users of the system were also discussed. A prototype of the Decision Support System was developed using python programming and MYSQL database server. Testing and validation was done using sample data of students’ enrolment and user defined inputs for the forecast, inventory and production modules of the system. The results of the tests show high level of accuracy when compared with those obtained from manual computations. The design is simple, flexible and can be easily modified to suit the needs of other institutions with multi-item inventory problems.

Decision Support System to Determine Higher Education Resource Needs Using Accreditation Assessment Standards

Accreditation is an activity to evaluate the eligibility of programs and academic units based on predetermined criteria. In an educational institution, accreditation is an important thing to do to improve quality in the field of education because the aim is to improve quality which includes all aspects of education in the form of science, administration, as well as teaching, and educational staff. College managers really need a decision support system that can produce several alternative strategic decisions quickly and accurately. The existence of decision support system tools used to make strategic decisions makes the manager's work lighter and the results are more accurate. In this study, a decision support system approach was applied to determine the resource requirements of tertiary institutions using accreditation assessment standards consisting of a management subsystem model, data management subsystem, and user interface management subsystem. The result of the research is a design of a decision support system that can be used in an educational institution for determining the need of higher education resources.

Long-term diagnostic technology for the monitoring of continuous welded rail on curves in a cold area

In cold areas where the annual rail temperature difference can exceed 90 °C, continuous welded rails (CWRs) on small-radius curves are more likely to buckle or distort owing to the large radial temperature force and large lateral deformation of the rails. To facilitate safe operation of trains in cold areas, a magnetostrictive displacement measurement technique was used to measure the lateral displacement of CWRs in this study. Then, a long-term monitoring system, including a sensor subsystem, a data acquisition and transmission subsystem, and a data analysis and management subsystem, was established for the monitoring of CWRs on small-radius curves and applied in a field test. One year of continuous observation results showed that this monitoring system could effectively realize the functions of real-time acquisition, wireless transmission, and data storage in a cold climate. The collection and analysis of these observation data, including the air temperature, rail temperature, and lateral displacement of the rail, can be further applied for the stability prediction of CWRs on small-radius curves.

Architecture and functional model of a perspective proactive intellectual siem for cyber protection of objects of critical infrastructure

The article deals with the current, nowadays, issues of cyber defense of critical infrastructure, which are becoming increasingly important. Based on the analysis, it is concluded that the basis of building an effective cyber defense system is the use of information management and security event management (SIEM). The use of systems of this type allows not only to detect cyber security incidents, but also to predict them based on the accumulated data in the system. The proposed new architecture for a promising proactive smart SIEM, which, in addition to the traditional levels of data collection, management and analysis, includes the fourth level - the level of decision making and implementation. The implementation of the proposed architecture is possible through the development and application of new methods of normalization, filtering, classification, aggregation, correlation, prioritization and analysis of events and cyber security incidents, their consequences, generation of various reports, messages and visual presentation of data for operational and substantiated adoption based on data mining technologies, machine learning, Big Data processing and artificial intelligence. A new functional model of a promising intelligent SIEM is proposed, which includes: subsystem of collection and primary processing of data from heterogeneous sources; data management subsystem; the data analysis subsystem and the decision and implementation subsystem. The implementation of the model allows to minimize human participation in solving the problem of responding to cyber incidents, thereby increasing the efficiency and validity of the decisions it makes. The application of the proposed new architecture of a proactive intellectual SIEM and its functional model, allows to take a new step in the evolution of type towards increasing the efficiency of their use in cyber defense systems of critical infrastructure.

Structural health monitoring system for Sutong Cable-stayed Bridge

Structural Health Monitoring System (SHMS) works as an efficient platform for monitoring the health status and performance deterioration of engineering structures during long-term service periods. The objective of its installation is to provide reasonable suggestions for structural maintenance and management, and therefore ensure the structural safety based on the information extracted from the real-time measured data. In this paper, the SHMS implemented on a world-famous kilometer-level cable-stayed bridge, named as Sutong Cable-stayed Bridge (SCB), is introduced in detail. The composition and core functions of the SHMS on SCB are elaborately presented. The system consists of four main subsystems including sensory subsystem, data acquisition and transmission subsystem, data management and control subsystem and structural health evaluation subsystem. All of the four parts are decomposed to separately describe their own constitutions and connected to illustrate the systematic functions. Accordingly, the main techniques and strategies adopted in the SHMS establishment are presented and some extension researches based on structural health monitoring are discussed. The introduction of the SHMS on SCB is expected to provide references for the establishment of SHMSs on long-span bridges with similar features as well as the implementation of potential researches based on structural health monitoring.

Integrating Cloud Computing and IoT for Community Health Service

Nowadays, China is stepping into an aging society, and most people care about their personal health with the Chinese economic development. Chronic-diseases have become the major threat to the elder people in China. In order to ensure a real-time health care for the elders, we propose health cloud platform with IoT for community health service. The platform includes IoT health services subsystem, health cloud application service subsystem and data management subsystem. The System development and service scheme is composed of six parts according to the function: front-end data acquisitioning module, message middleware, storage center, data mining center, medical graphics image processing center and presentation layer. The health cloud platform has two main functions: real time medical care technology and personalized health service. The successful deployment of health cloud can take demonstration for others application, and promote itself cloud computing technologies development.

A survey of smart water quality monitoring system.

The smart water quality monitoring, regarded as the future water quality monitoring technology, catalyzes progress in the capabilities of data collection, communication, data analysis, and early warning. In this article, we survey the literature till 2014 on the enabling technologies for the Smart Water Quality Monitoring System. We explore three major subsystems, namely the data collection subsystem, the data transmission subsystem, and the data management subsystem from the view of data acquiring, data transmission, and data analysis. Specifically, for the data collection subsystem, we explore selection of water quality parameters, existing technology of online water quality monitoring, identification of the locations of sampling stations, and determination of the sampling frequencies. For the data transmission system, we explore data transmission network architecture and data communication management. For the data management subsystem, we explore water quality analysis and prediction, water quality evaluation, and water quality data storage. We also propose possible challenges and future directions for each subsystem.

ValorE: An integrated and GIS-based decision support system for livestock manure management in the Lombardy region (northern Italy)

Intensive agriculture and livestock breeding represent critical factors in the Lombardy region since the nitrate vulnerable zones are 62% of utilised agricultural plain area. The aim of reducing the environmental risk caused by agriculture activities (e.g. nitrogen losses into groundwater and atmosphere) can be only achieved through a critical and scientific analysis of livestock manure management in a whole-farm perspective. Keeping in mind this objective, the decision support system (DSS) ValorE was developed. It can be described as a tool able to evaluate from the environmental, technical, agronomic and economic points of view the main components of manure management (production, storage, treatment and land application) for a variety of livestock types (i.e., cattle, swine, poultry, sheep, goats and horses), under different scenarios adopted at farm and territorial scale. ValorE consists of three main components: data management subsystem, model management subsystem and two versions of user-interface, both for farm and territorial scale. Most of the inputs to the DSS comes from external databases, while a software tool developed in the .NET environment and implemented using object oriented programming (C# language), provides the logic to manage the scenario simulation of agronomic and environmental farm-scale models. Users and stakeholders can carry out comparative analysis, starting from the knowledge of the current perspective, in terms of manure management system at farm or territorial scale by interrogating the available databases. Moreover, they can generate different alternative scenarios thanks to different options for the manure handling and cropping system simulation. Then they can finally evaluate and compare different scenarios through multidisciplinary and synthetic indicators but also visualise spatial effects exploiting the coupled webGIS. ValorE is therefore an attempt to offer a comprehensive tool for improving both farm strategy and decision making process, which is particularly important in a very intensive agricultural area, with one of the highest livestock density in the world, as Lombardy.

Tentative construction of satellite data management and service system for ZY-1 02C

In order to meet the management and service needs of China's first self- developed high- resolution satellite for earth resources investigation proposed by related land and resources department,the authors designed and developed the C / S- based data management subsystem and the B / S- based data services subsystem of ZY- 1 02C,with the propose of spreading the application of ZY- 1 02C data relying on the existing hardware and software environment of land and resources field. Functions such as timely storage of mass data,efficient distribution and real- time online inquiries were completed in this system. The study and development of this system can provide basic data protection for spreading utilization of ZY- 1 02C data in land and resources field and also lay a theoretical and practical foundation for the subsequent earth resource satellite application system in China which integrates many functions( such as data reception,processing,interpretation,and information sharing service) into one function.

Establishment and Application of the Wind and Structural Health Monitoring System for the Runyang Yangtze River Bridge

Structural health monitoring can provide a practical platform for detecting the evolution of structural damage or performance deterioration of engineering structures. The final objective is to provide reasonable suggestions for structural maintenance and management and therefore ensure the structural safety according to the real-time recorded data. In this paper, the establishment of the wind and structural health monitoring system (WSHMS) implemented on the Runyang Yangtze River Bridge (RYRB) in China is introduced. The composition and functions of the WSHMS are presented. Thereinto, the sensory subsystem utilized to measure the input actions and structural output responses is introduced. And the core functions of the data management and analysis subsystem (DMAS) including model updating, structural condition identification, and structural condition assessment are illustrated in detail. A three-stage strategy is applied into the FE model updating of RYRB, and a two-phase strategy is proposed to adapt to structural health diagnosis and damage identification. Considering the structural integral security and the fatigue characteristic of steel material, the condition assessment of RYRB is divided into structural reliability assessment and structural fatigue assessment, which are equipped with specific and elaborate module for effective operation. This research can provide references for the establishment of the similar structural health monitoring systems on other cable-supported bridges.

A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: Emphasis on security and clinical rule supporting

BackgroundPancreaticoduodenectomy (PD) is a major operation with high complication rate. Thereafter, patients may develop morbidity because of the complex reconstruction and loss of pancreatic parenchyma. A well-designed database is very important to address both the short-term and long-term outcomes after PD. ObjectiveThe objective of this research was to build an international PD database implemented with security and clinical rule supporting functions, which made the data-sharing easier and improve the accuracy of data. MethodsThe proposed system is a cloud-based application. To fulfill its requirements, the system comprises four subsystems: a data management subsystem, a clinical rule supporting subsystem, a short message notification subsystem, and an information security subsystem. After completing the surgery, the physicians input the data retrospectively, which are analyzed to study factors associated with post-PD common complications (delayed gastric emptying and pancreatic fistula) to validate the clinical value of this system. ResultsCurrently, this database contains data from nearly 500 subjects. Five medical centers in Taiwan and two cancer centers in Mongolia are participating in this study. A data mining model of the decision tree analysis showed that elderly patients (>76 years) with pylorus-preserving PD (PPPD) have higher proportion of delayed gastric emptying. About the pancreatic fistula, the data mining model of the decision tree analysis revealed that cases with non-pancreaticogastrostomy (PG) reconstruction – body mass index (BMI)>29.65 or PG reconstruction – BMI>23.7 – non-classic PD have higher proportion of pancreatic fistula after PD. ConclusionsThe proposed system allows medical staff to collect and store clinical data in a cloud, sharing the data with other physicians in a secure manner to achieve collaboration in research.

Improving Decision Making Process in Universities: A Conceptual Model of Intelligent Decision Support System

During recent years, universities have become more and more dependent on the collection, storage and processing of educational data. The dynamics and transformation of military higher education, characterized by complex processes and statuses, generate an immense volume of data, and their acquisition and storage requires the use of the innovation in the IT field. In this context, these universities have become more and more dependent on the collection, storage and processing of educational data. Decision-makers try to apply new strategies and use new tools to convert this data in useful information that would contribute to managerial problem solving. Good decisions involve using some software tools that support decision- making process to maximize the performance of universities and minimize the negative impact of faults. In this paper, we present an overview of intelligent decision support systems (iDSS), and also our own conceptual model in designing a higher education iDSS. The proposed system will be composed of three subsystems working in an integrated manner in order to provide quality services to the iDSS beneficiaries, as follows: the Data Management Subsystem (DMS) that offers the necessary data in order to develop of iDSS models, the Model Management Subsystem (MMS) which generates models on the basis of the data supplied by the DMS and the use of data mining techniques, analytic tools and reporting, the user interface (UI) this facilitates communication between iDSS and the beneficiary, in the sense that the beneficiary supplies the iDSS with data and extracts useful information for the educational process.

Analisis dan Perancangan Sistem Pendukung Keputusan Pemilihan Pemasok Terbaik dari Pemasok Tersedia dengan Metode Analytical Hierarchy Process (AHP): Studi Kasus Divisi Power PT Guna Elektro

The purpose of this study is to develop a decision support system to support supplier selection process in PT Guna Elektro and also to develop a system that could provide alternatives to the selection of the best suppliers. The methodologies used in this study are analysis, design, and literature study. Analysis will be done by conducting a survey about the current company system, conducting interviews with system users, and then analyzing the survey results. The literature study is conducted by searching reference sources related to the study while the design is conducted by designing a data management subsystem, model, knowledge base, and user interface. The result on the development of the decision support system application can be used to select the most appropriate supplier which are suitable with the criteria required. The developed decision support system helps support the decision making process for supplier selection.

Analisis dan Perancangan Sistem Informasi Sebagai Penunjang Keputusan pada UKM PD Gerak Tani Jakarta

To maintain a trading business in the strict competition a management supported by appropriate business strategy is required. Utilization of an information system that supports decision-making is needed to improve performance as well as support for all lines of business. Therefore, a research is conducted that specifically aims at the development of decision support systems for small and medium enterprises (SMEs). The basic method for building the system is the Herbert Simon's four-stage decision-making approach: intelligence, design, choice and implementation. Following is the building of data management subsystem, management subsystem model and user interface subsystem. The development of this system results in a decision support system that can improve the performance of all business lines complemented with support information for decision making.

Dynamic Simulation System of Variable Parameter Flexible Linkage Mechanism of Dual Horse Head Pump Unit

The back beam arms of the dual horse head pumping unit are composed of variable radius arc, whose effective length varies in the motion process with the changes of the driving rope and the back horse head, so that the universal dynamic simulation software can not achieve the simulation of this mechanism system. According to the transmission characteristics of the flexible linkage mechanism with variable parameters, the motion characteristics equation for the dual horse head pumping unit is built and its solution algorithm is put forward. The algorithm provides an effective mathematical model for the simulation of the dual horse head pumping unit. Aiming at the problem that the variable parameter flexible linkage mechanism lacks applicable dynamic simulation system, the dynamic simulation system for the dual horse head pumping unit is developed. The system includes virtual prototype subsystem, CAD analysis subsystem, data management subsystem and solid emulation subsystem. It provides 3D dynamic simulation and performance analysis in virtual environmental for the dual horse head pumping unit, and can be used as an effective reference for the design of pumping unit. Finally, the system practicality is verified through the simulation test of CYJ145.

Functional Structure and Data Management of Urban Water Supply Network Based on GIS

This paper presents an urban water supply network system based on GIS technology. The system will adopt three-tier/N-tier architecture as the application logic structure. Thy system can be divided into six subsystems: the analysis subsystem, the aided design subsystem, the installation and maintenance management subsystem and the customer service subsystem serve data management subsystem. The data management of the system will adopt SuperMap. We present the details of the data management, such as basic data collection, structure framework of the basic geographic information bank, the process to construct GIS basic information bank of water supply network, data conversion and input into banks, data vectorization and input into banks, etc. Then the system database is designed in detail. We adopt object oriented analysis and design methods, and utilize Class Diagram of UML to represent the entity tables and their relations against the core data of the network system, that is spatial dictionary database and spatial database. According to Class Diagram, it can be directly mapped as the database structure and an example is given. Finally, the successful application of the system in Yiyang city of China is beneficial for water supply enterprises to utilize the existing water resource in time, rationally and effectively.

The fly wheel exercise device (FWED): A countermeasure against bone loss and muscle atrophy

The flywheel exercise device (FWED) is planned for use as an in-flight exercise system, to demonstrate its efficacy as a countermeasure device to prevent muscle atrophy, bone loss and impairment of muscle function in human beings in response to long duration spaceflight. It is intended to be used on the International Space Station (ISS) and will be launched by the European cargo carrier, the automated transfer vehicle (ATV) in late 2005. The FWED is a non-gravity-dependent mechanical device based on the Yo–Yo principle, which provides resistance during coupled concentric and eccentric muscle actions, through the inertia of a spinning flywheel. Currently, the development of a FWED Flight and Ground Model is in progress and is due to be completed in May 2004. An earlier developed prototype is available that has been used for various ground studies. Our FWED design provides a maximum of built-in safety and support to the operation by one astronaut. This is achieved in particular by innovative mechanical design features and an easy, safe to use man–machine interface. The modular design is optimized for efficient set-up and maintenance operations to be performed in orbit by the crew. The mechanical subsystem of the FWED includes a μ g disturbance suspension, which minimizes the mechanical disturbances of the exercising subject at the mechanical interface to the ISS. During the FWED operation the astronaut is guided through the exercises by the data management subsystem, which acquires sensor data from the FWED, calculates and displays real-time feedback to the subject, and stores all data on hard disk and personalized storage media for later scientific analysis.

The application of aloka 3D image technology to upper GI EUS using a standard olympus echoendoscope

EUS imaging using CLA echo-endoscopes generates high quality images. These images, however, defme a very narrow plane of view making interpretation, particularly, of tumors, difficult. The Aloka SSD 5000 platform for the Olyplpus UCT240 echo-endoscope incorporates an optional Data Management Sub-system (DMS) computer allowing for central digital storage and image post-processing This bnih-in hardware is capable of parallel processing of cine:loops using Spatial ECHO. The individual frames composing such videodoops are re-constructed into 3D format. Patients with pancreatic adenocarcinoma, pancreatic serocystm adenoma, CBD stones and mediastinal ly~lphadenopathy, underwent linear EUS with an Olympus UCT240 CL4 echo-endoscope. Cinedoops of ultrasound images (approx. 200 frames) were stored to the DMS unit over approximately 2 minutes during which real-time scanning could continue. 3D reconstructions were performed following the procedure (45 minutes per loop). Re-constructed images of the mediaastinum, bile duct and kidneys gave good depth of view and defimtion of internal structure. It was possible to re-construct vascular structures at the portal confluence, liver hilum, splenic hilum within the left lobe ot the liver in 3D Colour Doppler/Powerflow format. 3D imaging using a standard Olympus CL a, echo-endoscope is both teasible and renders cl/nically relevant images.