A computer adaptive language for the development of structural analysis programs

We express our opinion about the role of Computational Mechanics (CM) in science, applications and education. The presented thoughts rely on our experience gained by working over decades (first author in particular) in the field of CM. First, as a challenge of an opinion that computational mechanics is rather a tool, not the science, we give our view that computational mechanics is a complex interdisciplinary scientific field where new methods and solutions are sought, new hypotheses are tested, and events in material world are elucidated or predicted. It is quite an art to achieve the goal that general analytical formulations or experimental findings become useful and practical numbers, graphs, and even simulations of living systems response. Second, we would like to emphasize the enormous impact of CM in applications; ranging from the support of experimental investigations, to everyday engineering in design and industry, to bioengineering and medicine. Giant steps have been undertaken by invention of the finite element method in the 6th decade of last century. From that time on, a huge number of researchers have opened new frontiers, introducing new computational methods, improving the algorithms and incorporating achievements in computer technology. Third, we want to address the issue of the CM participation within university programs. We believe that the CM methods, software development and application should be a significant part of the overall education in engineering departments, but also (to appropriate extent) in other departments of natural and biomedical sciences, technology and medicine. All courses should be accompanied by the corresponding software. We here cite our experience where around 40 PhD and MS theses have been completed at University of Kragujevac, with the CM topics, development of engineering software (our system of programs PAK) and applications in engineering and bioengineering. This approach in education will result in preparing students to use modern CM tools and software in their work after university studies.

The rapid development of artificial intelligence technology has provided brand-new ideas and methods for computer application software development, becoming an important driving force to promote the intelligence and efficiency of software development. Starting from the overall concepts of artificial intelligence technology and computer application software development, this paper systematically analyzes the application of artificial intelligence in computer software development, and elaborates on the functions of artificial immune technology, neural network technology, Agent technology, and expert systems in software development. It not only provides theoretical support for the application of artificial intelligence technology in software development but also offers operable strategic suggestions for practice, which is of great guiding significance for improving software development efficiency and optimizing software quality.

Currently the International Maritime Organization (IMO) is taking the lead in developing e-navigation as an information service framework. E-navigation supports sharing, harmonization and utilization of various marine and marine-related data both shipboard and onshore. Recently, the IMO adopted the International Hydrographic Organization (IHO)'s S-100 as the basis of the Common Maritime Data Structure (CMDS) of e-navigation. Thus, the various data are to be provided to e-navigation services in formats consistent with the S-100 data model. E-navigation services, in order to provide appropriate information to users, utilize and harmonize many kinds of S-100-based data such as Electronic Navigation Chart (ENC) data, bathymetric data, tidal data, meteorology data, radar-image data, and Automatic Identification System (AIS) data. In e-navigation, data management systems dealing with S-100-based data facilitate e-navigation services' harmonization and utilization of the various S-100-based data. In this paper, we present an S-100 data management system that deals with various S-100-based data. We designed the system by generalization of the System ENC (SENC) kernel that manages S-101 ENC data. For development of a data management system that supports the management of various kinds of S-100-based data, we analyzed the characteristics of the S-100 data model and S-100-based data products. The S-100 data management system is designed to store S-100-based feature-oriented geographic data in the form of pairs.

Development of a data management system to support continuous quality improvement in IPE

Development of an on-line control system for the rf separated hadron beams to BEBC

The concept of blockchain was introduced as the Bitcoin cryptocurrency in a 2008 whitepaper by the mysterious Satoshi Nakamoto. Blockchain has applications in many domains, such as healthcare, the Internet of Things (IoT), and data management. Data management is defined as obtaining, processing, safeguarding, and storing information about an organization to aid with making better business decisions for the firm. The collected information is often shared across organizations without the consent of the individuals who provided the information. As a result, the information must be protected from unauthorized access or exploitation. Therefore, organizations must ensure that their systems are transparent to build user confidence. This paper introduces the architectural design and development of a blockchain-based system for private data management, discusses the proof-of-concept prototype using Hyperledger Fabric, and presents evaluation results of the proposed system using Hyperledger Caliper. The proposed solution can be used in any application domain where managing the privacy of user data is important, such as in health care systems.

Digital oil and gas field is an overly complex integrated information system, and with the continuous expansion of business scale and needs, oil companies will constantly raise more new and higher requirements for digital transformation. In the previous system construction, we adopted multi-phase, multi-vendor, multi-technology and multi-method, resulting in the problem of data silos and fragmentation. The result of the data management problems is that decisions are often made using incomplete information. Even when the desired data is accessible, requirements for gathering and formatting it may limit the amount of analysis performed before a timely decision must be made. Therefore, through the use of advanced computer technologies such as big data, cloud computing and IOT (internet of things), it has become our current goal to build an integrated data integration platform and provide unified data services to improve the company's bottom line. As part of the digital oilfield, offshore drilling operations is one of the potential areas where data processing and advanced analytics technology can be used to increase revenue, lower costs, and reduce risks. Building a data mining and analytics engine that uses multiple drilling data is a difficult challenge. The workflow of data processing and the timeliness of the analysis are major considerations for developing a data service solution. Most of the current analytical engines require more than one tool to have a complete system. Therefore, adopting an integrated system that combines all required tools will significantly help an organization to address the above challenges in a timely manner. This paper serves to provide a technical overview of the offshore drilling data service system currently developed and deployed. The data service system consists of four subsystems. They are the static data management system including structured data (job report) and unstructured data (design documentation and research report), the real-time data management system, the third-party software data management system integrating major industry software databases, and the cloud-based data visual application system providing dynamic analysis results to achieve timely optimization of the operations. Through a unified logical data model, it can realize the quick access to the third-party software data and application support; These subsystems are fully integrated and interact with each other to function as microservices, providing a one-stop solution for real-time drilling optimization and monitoring. This data service system has become a powerful decision support tool for the drilling operations team. The learned lessons and gained experiences from the system services presented here provide valuable guidance for future demands E&P and the industrial revolution.

Advanced Technology Systems, Inc. (ATS) was contracted by the U. S. Department of Energy's National Energy Technology Laboratory (DOE-NETL) to develop a state-of-the-art, scalable and robust web-accessible database application to manage the extensive data sets resulting from the DOE-NETL-sponsored ambient air monitoring programs in the upper Ohio River valley region. The data management system was designed to include a web-based user interface that will allow easy access to the data by the scientific community, policy- and decision-makers, and other interested stakeholders, while providing detailed information on sampling, analytical and quality control parameters. In addition, the system will provide graphical analytical tools for displaying, analyzing and interpreting the air quality data. The system will also provide multiple report generation capabilities and easy-to-understand visualization formats that can be utilized by the media and public outreach/educational institutions. The project is being conducted in two phases. Phase 1, which is currently in progress and will take twelve months to complete, will include the following tasks: (1) data inventory/benchmarking, including the establishment of an external stakeholder group; (2) development of a data management system; (3) population of the database; (4) development of a web-based data retrieval system, and (5) establishment of an internal quality assurance/quality control system on data management. In Phase 2, which will be completed in the second year of the project, a platform for on-line data analysis will be developed. Phase 2 will include the following tasks: (1) development of a sponsor and stakeholder/user website with extensive online analytical tools; (2) development of a public website; (3) incorporation of an extensive online help system into each website; and (4) incorporation of a graphical representation (mapping) system into each website. The project is now into its eleventh month of Phase 1 development activities.

Increasingly more enterprises are intending to deploy data management systems in the cloud. However, the complexity of software development significantly increases both time and learning costs of data management system development. In this paper, we investigate the coding-free construction of a data management system based on Software-as-a-Service (SaaS) architecture, in which a practical application platform and a set of construction methods are proposed. Specifically, by extracting the common features of data management systems, we design a universal web platform to quickly generate and publish customized system instances. Then, we propose a method to develop a lightweight data management system using a specific requirements table in a spreadsheet. The corresponding platform maps the requirements table into a system instance by parsing the table model and implementing the objective system in the running stage. Finally, we implement the proposed framework and deploy it on the web. The empirical results demonstrate the feasibility and availability of the coding-free method for developing lightweight web data management systems.

The industrial panorama is evolving. Using IoT sensors and actuators it is possible to increase product's value, by controlling its production chain. Internet technologies such as FIWARE can provide the services that modern industry needs to process and evaluate sensor data to apply higher production standards, which increase product value. Although FIWARE enablers provide the tools to fulfil modern industry needs, there is an interoperability gap a gap between applications and enablers, as different enablers have different protocols and needs. This article describes an agriculture system developed using vf-OS (virtual factory Operating System), a platform that aims to become the bridge between applications and enablers, as it provides the means to interact with them. The developed system is composed of different applications, that use enablers (integrated using the vf-OS system), current context management and fruit quality theories, to control product quality during the whole fruit production chain.

The Direct Access File System (DAFS) is a distributed file system built on top of direct-access transports (DAT). Direct-access transports are characterized by using remote direct memory access (RDMA) for data transfer and user-level networking. The motivation behind the DAT-enabled distributed file system architecture is the reduction of the CPU overhead on the I/O data path.We have created an implementation of DAFS for the FreeBSD platform. In this paper we describe the performance evaluation study of DAFS that we have performed using this software. The goal of this study is to determine whether the architecture of DAFS brings any fundamental performance benefits to applications compared to traditional distributed file systems, such as NFS. We perform comparison of DAFS to a version of NFS optimized to reduce the I/O overhead. In order to thoroughly understand the impact of DAFS on application performance, we consider a diverse range of applications workloads.We conclude that DAFS can accomplish superior performance for latency-sensitive applications, outperforming NFS by up to a factor of 2. Bandwidth-sensitive applications do equally well on both systems, unless they are CPU-intensive, in which case they perform better on DAFS. We also found that RDMA is a less restrictive mechanism to achieve copy avoidance than that used by the optimized NFS.

The students' dormitory is the main place to college students' daily life, so the students' dormitory management is an important part of school management. As the growth of the school recruitment of students scale, the growing number of students, make the student dormitory management faced with multiple, complex, complex situation. The problem of how to decipher, become the focus of the school logistics department leadership focus on. In order to adapt to the needs of the development of the school, and further improve the efficiency of school logistics work, school logistics department need a adapt to student dormitory daily management software system, in order to give full play to the advantages of modern information technology and Internet, realize the artificial management to change the way of computer management, increases the working efficiency of the dormitory management. Introduction In recent years, along with the rapid development of higher vocational education in our country, the higher vocational colleges are doing a lot of enrollment expansion, new with this kind of situation, the school dormitory management is becoming more and more heavy burden. School is hard to come by every student dormitory, under the condition of more cannot be targeted to the students' dormitory management and guidance [1]. And with the rapid development of computer software technology and Internet technology, school of digital campus network gradually thorough, the student dormitory management information system based on intelligent data acquisition of construction has become a pressing need of high vocational colleges [3]. This design to study the student dormitory management work process, in order to improve the student's dormitory management efficiency, improve students, dormitory administrators, and school staff dormitory management satisfaction, through the analysis and research of the student's dormitory management workflow, combined with the current school of digital campus network advantages, based on the Android on the basis of the research and development of the intelligent information management system of the student's dormitory. The whole system including the administrator information management platform, students' dormitory information management platform, the dormitory administrator information management platform of three parts, each part respectively have their own different function. Android mobile development technology The Android platform released by Google is an open source operating system based on the Linux kernel, due to its characteristics of openness, easy operation, widely used in intelligent mobile phone, tablet computer and other mobile devices. Open Android system mobile phone company and leader of the alliance and the development of. The Android platform's openness means that the mobile terminal equipment manufacturers almost all can be added to the Android Development League application software [3]. The opening of this platform means that applications to encourage developers to develop more complex to some extent, in order to attract more users choose to use Android mobile intelligent terminal equipment. Android has become the most popular intelligent

The formation of poly(vinyl alcohol) microgels by γ-ray irradiation was previously studied by static and dynamic light scattering methods to obtain respectively the radius of gyration (Rg) and the hydrodynamic radius (R h ). It was proposed that the mechanism of this microgel formation was an intermolecular cross-linking step followed by an intramolecular cross-linking process. Presented herein is a mathematical model for interpreting the values of R g and R h , in which the Kirkwood theory of the friction factor was employed. To mimic the known extensions of brushes, a set of bias parameters were employed for the purpose of making a directional preference in generating the configurations of both parent and branch chains. The simulations with this simple model are in very good agreement with the proposed mechanism of microgel formation in the poly(vinyl alcohol) system. Justification of using the bias parameters is supported by computationally intensive Brownian dynamics simulations of a collection of 216 beads with a Velcro pair potential, i.e., a short-range attractive pair potential that acts as a formation of a chemical bond between the beads. The advantage of the bias walk model is that it allows one to explore different molecular configurations on a smaller computer and thus to select an appropriate set of parameters for more extended and time-consuming simulations on mainframe computers.

SUMMARYThe phase difference between two plane polarized light rays whose electric field vectors (planes of polarization) are at right angles is often determined by Senarmont analysis. In this analysis, a quarter‐wave plate whose vibration axes lie at an azimuth of ±45° to the planes of polarization of the two rays is inserted. The rotation of the analyser that leads to extinction is then determined by manual adjustment. This classical method has been significantly improved by, instead, measuring light intensities at thirty‐two evenly spaced analyser angles which span 180° of analyser rotation. An unbiased estimate of the phase difference may then be extracted with high accuracy by analysis as a designed experiment.Of the several numerical analysis methods investigated, harmonic analysis is particularly attractive for routine use—especially with small computers. Iterative non‐linear least‐squares analysis on a mainframe computer was taken as the standard of numerical accuracy, against which direct algebraic solutions on a personal computer were evaluated. An ‘accuracy’ statistic (which measures the goodness‐of‐fit to the theoretical cosine function) has proven invaluable in assessing the validity of actual data.Data of exceptional quality are produced by the Leitz Jamin–Lebedeff optical system using intensities measured with a photodiode detector placed in the camera tube of the microscope. These data will support analysis to better than 0.0001° of analyser position, or <6×10−7 periods. Since alignment of the optics with comparable accuracy is impossible, a method for accurately quantitating the contribution to the observed retardation that originates from within the optics, by performing the analysis on an air sample, has been devised.

CPWR is carrying out a screening program for former Hanford construction workers. This program includes continuing screening and re-screening services for the former worker population. The Program contains the following general components: Start-up planning/needs assessment: A modified exposure assessment will be conducted to identify high-risk buildings or areas, primary exposures, and worker populations at risk. Outreach: CPWR, as the research arm of the Building and Construction Trades Department, AFL-CIO, has direct access to workers. CPWR will rely on direct mailings to lists of former workers, and work through and rely on existing organizations (unions, union pension funds, employers, DOE site administrators, etc.) to reach former workers and "get the word out." CPWR will establish/maintain an outreach office at each site listed above. This office will serve as the face of the Program to workers and their communities. Communications and intake center: CPWR has two established toll-free phone numbers (1-800-866-9663 and 1-888-464-0009). There is also a dedicated website for the program (btmed.org). Workers can register with the Program by mail, telephone, or on-line. Work history: A standardized, structured work history is administered with modules that accommodate unique exposure scenarios for different occupations and different DOE sites. A work history interview is administered by a trained program interviewer. The work histories are used to determine whether a participant is eligible for the medical examination and to interpret the findings from the medical examination. Medical evaluation: The Program contracts with local medical providers qualified to deliver occupational medical screening services. All providers are credentialed. The Program contracts with a certified national laboratory and with NIOSH certified B-readers to review x-rays. Based on the work history, the participant is referred to a credentialed medical provider who is located close to the participant's home. If it is not convenient to use a credentialed provider, the Program will make arrangements, if necessary, for the participant to receive a physical exam through the National Supplemental Screening Program. Eligible participants will receive the same core medical exam (including a Beryllium Lymphocyte Proliferation Test, BeLPT), and in addition, based on their work history, they may be assigned to exposure specific modules for asbestos, silica, lead, noise, cadmium, and chromium. Lab work will be sent to a national laboratory for processing, except the blood samples for the BeLPT, which will be sent to a DOE-approved laboratory for evaluation. Determination of work-relatedness and follow-up: A letter of findings will be sent to the participant within 60 days of the exam. The letter is written and/or reviewed by occupational medical health personnel with knowledge of the DOE site(s) where the participant has worked and will include specific follow-up recommendations. Urgent findings are followed up by the provider without delay. Evaluation and quality assurance: All data are entered into the Program Data Management System (DMS). The DMS is web-based and relies on electronic submission of results, whenever possible. A de-identified data set on all participants is provided to Duke University Medical Center for evaluation and analysis. Each participant is asked to complete a satisfaction survey. The DMS will be used for quality assurance purposes and to also report summary data to the DOE. The BTMED.ORG website is encrypted using the industry-standard Secure Sockets Layer (SSL) technology (128-bit encryption keys). Each individual that accesses the website is assigned a unique login ID, password, and token. Passwords are required to meet standards for "strength," including minimum length, multi-case, and use of numbers. The website is also protected by additional security layers including additional encryption, hardware and software firewalls, Virtual Private Networks (VPNs), and virus protection.