Data Management Module Research Articles

Research and Design of School's Architecture Based on SOA

In order to realize the digital school, the school network is realized information sharing and service sharing by SOA. In the paper, the logic architecture of digital school is presented, including the user interface layer, the service control layer, the department service layer, the business logic layer and the data persistence layer. And the UDDI system of school network is designed of data management module, user management module, system log, UDDI server, Web manager and UDDI client.

Smart Compass-Clinometer: A smartphone application for easy and rapid geological site investigation

This study presents a smartphone application for geological site investigation. The application allows a smartphone to replace a diverse array of instrumentation and processes required for data measurement, visualization, and analysis. This application, named Smart Compass-Clinometer, consists of a digital compass-clinometer module, a data visualization module, a data analysis module, and a data management module. The compass-clinometer module measures the orientation of geological structures using data collected from built-in sensors. It converts the sensor data to orientation information using an algorithm developed specifically for this purpose. The visualization module plots the measured data on stereographic projections using three different methods, and can be used concurrently with the compass-clinometer module. The analysis module conducts instability analyses on the measured data, and can present the results in graphical and statistical forms. Users can send or receive data wirelessly with the data management module, even without a connection to a cellular network. To evaluate and validate the precision and accuracy of the compass-clinometer module, indoor and outdoor tests were conducted using Smart Compass-Clinometer and a conventional compass-clinometer. The minimum standard deviation of measured values with Smart Compass-Clinometer was 0.096° for dip and 0.122° for dip direction. The average difference between values measured using Smart Compass-Clinometer and the conventional compass-clinometer in the outdoor test was 1.70° for dip and 2.63° for dip direction. In an underground mine, the average discrepancies between Smart Compass-Clinometer and the conventional compass-clinometer were 2.57° in dip and 4.57° in dip direction. Smart Compass-Clinometer offers geoscientists a fast, reliable, and convenient tool for geological investigation.

Research of Data Model in Engineering Flight Simulation Platform Based on Meta-Data

The research of data model is a key technology in engineering flight simulation platform. This work analyses the engineering flight simulation platform’s present research situation and specific demands. Then we propose a data model in engineering flight simulation platform based on meta-data. The model shields the heterogeneity of system data and can build association between system data. At last, we finished the data management module in engineering flight simulation platform based on the model mentioned above, which proved that this data model has greater significance in realizing generality and expandability in engineering flight simulation platform.

Web-based radio frequency identification facility management systems

The operational life of a facility is extended through regular functional maintenance. The objective of this study is to enhance facility management efficiency using radio frequency identification (RFID) technology. A data management module is first developed to collect maintenance records. A statistical module is then established to graphically display the collected data. Maintenance activities are sequenced using a scheduling module to ensure that the facility functions normally. A forecast module is developed using fuzzy neural networks to avoid facility malfunction before the next maintenance. These four modules are integrated into a web-based RFID facility management system. System performance is validated using an actual building. Two RFID apparatuses are invented based on operational needs when implementing the developed system. The validation results show that integrating RFID technology with a web-based system, database, scheduling theory, artificial intelligence and enhancing apparatuses can improve facility maintenance efficiency. This study is one of the first researches providing a comprehensive solution for enhancing facility management efficiency.

A Method of Geospatial Data Files Conversion Based on Semantic

Data conversion is a necessary step to establish a unified data storage and management mode. Based on the analysis of the structure of Shapefile and the principle of semantic conversion, this paper proposes a method of geospatial data files conversion based on semantic. This method to a relational database file shape file conversion, the application of this method can not only increase the data read speed, and ease of data management and sharing.

HABs monitor: A tool for detecting HABs in East China Sea

This paper designs and develops a tool for detecting HABS from ENVI+IDL+ArcEngine. With a friendly and artistic interface offered by third party control, this tool provides a function of HABs monitoring in East China Sea via Remote Sensing Images inversion. Through rows of buttons on the menu bar, this tool allows calculating spectrum reflectance, browsing field work data, interpolating in situ measurement data, retrieving water property parameters, and detecting HABs position by the threshold of chlorophyll-a and sea surface temperature. Data management module programmed in Structured Query Language (SQL) in our tool simplifies the data process and stores a large amount of information. This paper elaborates the original design, functional modules, and multi data sources that gives a general view toward this tool. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1881

Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing

The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handlingSkylinecontinuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation dataSkyline. Besides, we proposedmMR-SUDSalgorithm (Skylinequery algorithm of uncertain transportation stream data based onmicro-batchinMap Reduce) based on sliding window division and architecture.

An ENVI+IDL+ArcEngine Tool for Detecting Harmful Algal Blooms in East China Sea

This paper designs and develops a tool for detecting HABS from ENVI+IDL+ArcEngine. With a friendly and artistic interface offered by third party control, this tool provides a function of HABs monitoring in East China Sea via Remote Sensing Images inversion. Through rows of buttons on the menu bar, this tool allows calculating spectrum reflectance, browsing field work data, interpolating in situ measurement data, retrieving water property parameters, and detecting HABs position by the threshold of chlorophyll-a and sea surface temperature. Data management module programmed in Structured Query Language (SQL) in our tool simplifies the data process and stores a large amount of information. This paper elaborates the original design, functional modules, and multi data sources that gives a general view toward this tool.

The Development of ECG and PPG Measurement Device

We design a portable measurement device which can simultaneously detect ECG (electrocardiograph) and PPG (photoplethysmograph pulse wave) signal, analyze arrhythmia and calculate SpO2(oxygen saturation of blood). It consists of two parts: the main and the sub. Besides of the most important part MSP430 MCU, there are front-end amplifiers, filter circuit, Bluetooth module, data management module, keyboard and LCD display module, etc. The device can detect QRS complex and PPG signals in real time. For the Fantasia database and patients, the monitor can correctly judge the QRS complex of ECG signals and PPG signal.

The Research and Application of Leveler Knowledge Base System

The control system of third generation leveler has introduced the intelligent models system, knowledge base system, self-learning system and other advanced technologies. Among them, the intelligent model system and knowledge base system is a core of leveler process setting system, and they determine the advanced level of leveler control system. As an original material information database of intelligent model system, the knowledge base system can provide basic parameters for the model operation and assist the process model to complete the setting of parameters. These provide a prerequisite for achieving automatic straightening of leveler. As the core of leveler control system, the knowledge base system contains lots of modules, such as knowledge base module, data management module, self-learning module and so on. By these modules, the system can achieve storage, management, self-learning and other functions for original information of plate. The leveler adopts DCS and OPC technology to achieve the control and communication of the whole system. In addition, using Oracle10G database and HP380 server clusters can achieve the storage and management function for knowledge base date.

Development of Structural Health Monitoring Software System of Shanghai Center Tower

Shanghai Center Tower is the tallest skyscraper under construction in China with the height of 642 meters. In order to reflect the real structural status of Shanghai Center Tower during the construction period and running period in three dimensional graphics, a Structural Health Monitoring Software System (SHMSS) is developed. The CAE software system consists of three function modules such as Modeling module, Data Management module, Post-Processing module. The Modeling module could build a 3D model confirming to the real Shanghai Center Tower based on the Building Information Modeling (BIM) concept; the Data Management module could access the engineering data produced by the sensors; then in the Post -Processing module, various data about the Shanghai Center Tower could be processed and structural parameters such as member force, displacement, wind pressure would be displayed in the 3D model.

식물공장 시설관리 시스템의 구현

본 논문에서는 미래농업의 핵심기술로 각광 받고 있는 식물공장의 안전하고 효과적인 운용을 위해, 식물공장 내부에 설치된 센서나 설비 장치가 정상적으로 작동하는지 실시간으로 진단하고, 내부 환경 및 설비의 제어상태를 모니터링 하는 식물공장 시설관리 시스템을 제안한다. 본 시스템은 데이터관리 모듈, 상황정보제공 모듈, 상황분석 모듈, 서비스제공 모듈, 정보저장소 모듈, 사용자 인터페이스 모듈로 구성된다. 이러한 각 모듈간의 상호작용을 통해 오작동 진단 서비스, 설비장치 제어 서비스, 고 신뢰성 모니터링 서비스를 제공한다. 오작동 진단 서비스는 식물공장 내부에 설치된 센서나 설비 장치의 오작동여부를 판단하고 관리자에게 통보하는 기능을 수행한다. 설비장치 제어 서비스는 설비의 오작동을 진단하는 과정에서 제어의 필요성이 판단 될 경우 해당 기기를 제어한다. 고 신뢰성 모니터링 서비스는 오작동 진단 서비스를 통해 검증된 데이터를 관리자에게 제공한다. 제안한 시스템의 시뮬레이션을 통하여 각 서비스가 정상적으로 동작함을 확인하였다. This paper suggests the Facility Management System for plant factory promising to be a core technology of the agriculture in the future. This system makes diagnoses that status from sensors or facilities in the factory for exact operation and monitors the internal environment with the control status in real-time. It is expected that we could operate a plant factory safely and effectively by using the system. The system consists of the data management module, the context provider module, the context interpreter module, the service provider module, the data storage and user interface. The system provide with the failure diagnosis service, the facility control service, and the high-reliability monitoring service via the interactions between above modules. The failure diagnosis service determines whether the sensors or facility devices are in failure or not, and informs the administrator of their conditions. The facility control service is activated in case if the facilities need to be managed during the diagnosis for failure or malfunction processes. The high-reliability monitoring service provides the administrator with verified data through the failure diagnosis service. Then we confirmed that the suggested system operates correctly through the system simulation.

Algorithm of Crane Selection for Heavy Lifts

Lifting capacity charts are tabulated and provided to operators and practitioners by mobile crane manufacturers. These charts are structured based on predetermined crane configurations, which consist of boom/jib length, lifting radius, main boom angle to ground, and jib angle to ground or its offset to its main boom centerline. It is a tedious job that lifting planners select cranes for construction projects based on a large number of lifting capacity charts. This paper presents a newly developed algorithm for selecting mobile cranes on construction sites, which takes into account the lifting capacity, the geometrical characteristics of the crane, the dimensions of equipments and riggings, and the ground bearing pressure. The algorithm is incorporated into a three-dimensional 3D computer-aided system that integrates crane selection module, crane modeling module, 3D-simulation module, 3D computer-aided design modeling module, rigging calculation module, and data management module. At last, a case is represented in order to demonstrate the use of the developed algorithm and to illustrate its essential features.

ProHits: integrated software for mass spectrometry–based interaction proteomics

ProHits: integrated software for mass spectrometry–based interaction proteomics

Study on Universal Testing Platform of Engineering Machinery

Due to the multiple types and complexity of fault diagnosis, the general-purpose testing platform of engineering machinery’s hydraulic system is developed for the maintenance of military equipment. The general function and structure of the testing platform is presented. The hardware system consists of modular circuit, integrates control computer of embedded controller with PXI-interfaced modular instrument, program-controlled device, connector and adapter hardware. And the software program comprises data management module, fault diagnosis module coupled to the data acquisition module, signal processing module, experiment condition control module, database access module, system configuration and self-test as well as help module. Further, the hardware characteristics are showed and the principle of hydraulic testing platform is presented. The universal testing platform offers enormous benefits for fault diagnosis and condition monitoring of military equipment and machinery.

Training needs of clinical research associates

Clinical research is a relatively new field in our country that has seen very rapid growth in the last few years. Availability of personnel appropriately trained to the specific requirements of the role they will perform in clinical research is critical for capacity expansion. Our study attempts to understand the specific areas of knowledge and skills that are important for the role of a clinical research associate. The survey was conducted among clinical research professionals from industry and academia who had more than five years of clinical research experience and held important decision making positions in clinical research (stakeholders). The survey questionnaire was designed as a matrix of various clinical research roles on the y-axis and six knowledge modules and eight skills on the x-axis. Respondents were asked to rate the importance of the knowledge /skills to the role of clinical research associates on a three point scale. In discussing results, a significant response was considered to be 50% or greater positive response from the total group. The significant findings were that general, ethics and clinical trial execution modules were rated as critical for the role of clinical research associate. Regulatory module was rated as important for the role. The other significant responses were that three of the sub-topics in the methodology module - framing a research proposal/protocol and experimental design, designing case report forms and EDCs and conducting PK studies - were rated as important and one sub topic in the data management and statistics module was rated as not important. All the skills except leadership skills were rated as critical for the role. The findings of our survey were in general on the lines of expectations of performance of the role. The general, ethics and clinical trial execution modules are critical knowledge areas for the role of a clinical research associate. No clear trends emerged for some of the other modules. Leadership skills were not rated as critical to the role. This kind of a survey gives a good direction when training curriculum has to be designed for specific roles in clinical research. However, there is a need to expand the sample size to fine-tune the knowledge and skills areas.

A Distributed Low-Cost RIP for Digital Presses

As commercial printing presses become faster, cheaper and more efficient, so too must the RIPs that process and feed them data to print. Previously [1], we presented a single machine GPU-accelerated RIP system that harnesses the massive parallel computational power of programmable Graphic Processing Units (GPUs). This project builds on this work and leverages the Apache Hadoop framework to construct a distributed RIP system designed to scale efficiently and meet current and future RIP requirements for high speed commercial digital presses. Hadoop is an open source package already deployed in mission critical application at major internet companies designed for massively distributed processing of large static data sets. It provides job management, load balancing, and error recovery services which are well suited to building a stable and comprehensive distributed RIP system. We found, however, that the Hadoop processing and data management models do not match the streaming media processing nature of an EPID (“Every Page is Different”[2]) printing infrastructure. We have therefore implemented custom processing and data management modules to support distributed ripping of jobs and dynamic streaming of PDFs, images and ripped jobs through the system. Lastly, a custom front end was developed which allowed the system to be integrated with a digital press. The result is a solution combining open source software and a cluster of GPU-equipped commodity PC workstations which significantly reduces the cost and energy consumption of the DFE while scaling to meet the DFE needs of a wide range of commercial digital presses.

A Data Protection Scheme for Medical Research Networks

The data protection requirements matured in parallel to new clinical tests generating more personal data since the 1960s. About ten years ago it was recognized that a generic data protection scheme for medical research networks is required, which reinforces patient rights but also allows economically feasible medical research compared to "hand-carved" individual solutions. To give recommendations for more efficient IT infrastructures for medical research networks in compliance with data protection requirements. The IT infrastructures of three medical research networks were reviewed with respect to the relevant data management modules. Recommendations are derived to increase cost efficiency in research networks assessing the consequences of a service provider approach without lowering the data protection level. The existing data protection schemes are very complex. Smaller research networks cannot afford the implementation of such schemes. Larger networks struggle to keep them sustainable. Due to a modular redesign in the medical research network community, a new approach offers opportunities for an efficient sustainable IT infrastructure involving a service provider concept. For standard components 70-80% of the costs could be cut down, for open source components about 37% over a three-year period. Future research networks should switch to a service-oriented approach to achieve a sustainable, cost-efficient IT infrastructure.

Early detection and evaluation of waste through sensorized containers for a collection monitoring application

The present study describes a novel application for use in the monitoring of municipal solid waste, based on distributed sensor technology and geographical information systems. Original field testing and evaluation of the application were carried out in Pudong, Shanghai (PR China). The local waste management system in Pudong features particular requirements related to the rapidly increasing rate of waste production. In view of the fact that collected waste is currently deployed to landfills or to incineration plants within the context investigated, the key aspects to be taken into account in waste collection procedures include monitoring of the overall amount of waste produced, quantitative measurement of the waste present at each collection point and identification of classes of material present in the collected waste. The case study described herein focuses particularly on the above mentioned aspects, proposing the implementation of a network of sensorized waste containers linked to a data management system. Containers used were equipped with a set of sensors mounted onto standard waste bins. The design, implementation and validation procedures applied are subsequently described. The main aim to be achieved by data collection and evaluation was to provide for feasibility analysis of the final device. Data pertaining to the content of waste containers, sampled and processed by means of devices validated on two purpose-designed prototypes, were therefore uploaded to a central monitoring server using GPRS connection. The data monitoring and management modules are integrated into an existing application used by local municipal authorities. A field test campaign was performed in the Pudong area. The system was evaluated in terms of real data flow from the network nodes (containers) as well as in terms of optimization functions, such as collection vehicle routing and scheduling. The most important outcomes obtained were related to calculations of waste weight and volume. The latter data were subsequently used as parameters for the routing optimization of collection trucks and material density evaluation.

통신해양기상위성 송수신자료전처리시스템의 감시 및 제어 소프트웨어 개발

COMS DATS C&M 소프트웨어는 통신해양기상위성(CONS)의 송수신자료전처리시스템에 대하여 상대감시 및 원격조정기능을 제공하는 통합관리시스템이다. DATS C&M 소프트웨어는 시스템 관리 모듈, 감시 및 제어 모들, 데이터 관리 모듈, 그리고 상태 데이터 분석 모듈로 구성되어 있으며, 특히 감시 및 제어 모듈은 위성운영센터가 기상위성센터의 백업 시스템으로 송수신자료전처리시스템을 운영하도록 결정됨에 따라 동일만 두 시스템의 동기화를 지원하도록 설계되었다. 이 논문에서는 DATS C&M 소프트웨어의 설계, 구현, 그리고 개발 결과에 대한 내용을 기술하고 있다. COMS DATS C&M software is an integrated management system providing control and monitoring functionalities for COMS IDACS (Image Data Acquisition and Control System). DATS C&M S/W consists of a system management module, a control and monitoring module, a data management module, and a trend analysis module. COMS SOC is supposed to operate IDACS as a backup of MSC. Especially, for the backup operation, the control and monitoring module of DATS C&M S/W is designed to support the synchronization of the two IDACS systems. This paper describes design, implementation, and result of development of DATS C&M S/W.