Research on the Office Automation System Development and Practice based on Database Optimization and Security Enhancement Technology

In the paper, we conduct research on the office automation system development and practice based on database optimization and security enhancement technology. Office automation is with the rapid development of computer technology and puts forward a new concept, the abbreviation for OA, refers to the enterprise through the use of advanced science and technology, the allocation of the information resources in a reasonable manner, so as to improve the work efficiency and quality of staff, auxiliary management to make decisions, to obtain more economic benefits and main including images, text, audio, data and other information collection, and processing and storage. Among them, the office automation is based on the staff as the main body, with advanced scientific technology by combining with computer technology and form comprehensive office mode. Our proposed method serves as the novel paradigm for the development of the office automation which is meaningful.

Optimization and Construction of Collaborative Office under the Background of Smart Campus in Universities

At present, with the continuous development of technologies such as the Internet, big data, and artificial intelligence, smart campuses in universities are being rapidly constructed. Improving the informatization level of administrative management work is also an important content. The collaborative office work in multiple departments requires more standardized, convenient, intelligent, and secure office systems. In response to this issue, this article analyzes the optimization and construction process of collaborative office systems based on the development of university informatization, summarizes the operational results, and explores the prospects of smart office.

A Low-Cost Smart Office Design Framework Using Arduino

The main motive of our research work is security enhancement and light energy conservation. This paper describes a study investigating the potential of a controlled office solution by integrating the Internet of Things (IoT) with wireless sensor networks (WSNs). A prototype of a smart office is developed using a global system of mobile Bluetooth and Radio Frequency Identification (RFID) technology. The user can turn on and off the fan remotely at any time. This prototype focuses on security and provides human-friendly assistance when in or out of the Office by integrating a mobile application platform. The innovative automated smart Office is designed with intelligent Security doors, lights, alarms, temperature humidifiers, and bright Liquid Crystal Display (LCD) screens for viewing. Our study has opened up virtual possibilities for producing cheap innovative frameworks in this Generation of IoT and the fifth Generation (5G) technology. Therefore, when implemented, this innovation will ease and improve human quality of life. So, this paper aims to provide a low-cost, effective Internet of the things-based automated smart Office.

基于OA的船舶建造信息可视化管理系统

为增强船舶建造管理能力,提高工作效率,基于办公自动化平台,构建一个船舶建造信息可视化管理系统。通过网页编程将场地、工具、工装、设备及中间产品等船舶建造信息以动态图形、弹窗文字等生动形象的方式进行可视化管理。研究表明:该系统可方便高效地查询信息,及时有效地辅助生产管理,提高工作效率。研究成果可为船舶建造信息可视化管理提供一定参考。

A discussion of major issues related to the archiving of office business records

Based on our research and data analysis, we have made an in-depth study of the elements that have had an impact on the archiving of those office records from the automated office management system. In addition, we also offered a few suggestions about archiving such electronic office records more efficiently and effectively from a holistic perspective. In this paper, these authors discussed at some length about the following issues which included but limited to the unique features and requirements about the offline record transmission, the online record archiving, the requirements of electronic archiving stemming from the automated office document generating system, how to make the electronic business management system more congenial to its task-specific requirements for business records management and how to protect the system users' interest during the process of the system's continuous evolutionary development.

A CSCW SYSTEM FOR BUILDING REVIEWING BY INTEGRATING GIS WITH OA

The process of urban building reviewing is a collaborative work by a group of urban planning staffs and land managers who are working with different departments of a organization. There are three ingredients for improving the work efficiency, i.e., agile communication and interactive mechanisms, good information, effective processing and visualizing tools. In order to build a computer supported collaborative work (CSCW) system in Urban Planning and Land Administration Bureau in Changzhou Municapality, GIS was integrated with office automation (OA). The workflow and organizational structure had been re-engineered to meet the requirement of application of the new technology. Federated databases were constructed by assembling disparate sources of heterogeneous spatial and attribute data. Easy access to the data by contents was developed for promoting information sharing within the organization. Specific desktop spatial data handling tools were provided for delineating land lots or building layouts on large-scale digital maps. Office automation functions, including applications registering, reasonableness checking, opinions giving and exchanging, were developed and they permit printing and documents filing. The work efficiency in the organization has been improved by introducing the computer-based collaborative building reviewing system.

An improved method to distinguish between scanned and rasterized document images

Office automation （OA） has evolved with the development of computer science,improving staff efficiency.Unstructured information processing is an important aspect of OA; therefore,in this paper,we propose an efficient method for distinguishing scanned and rasterized document images which can be used in this process.To ensure the efficiency and precision of our method,two steps are included：rapid processing and classification using noise features.In the first step,color,skew,and isolated noise features are used to identify the source of the images.In the second step,noise features are extracted from the input image and a support vector machine （SVM） classifier is used for classification.Our experiments show that our method has high precision and speed for distinguishing scanned and rasterized document images.

Research on the Fusion Course System Based on Improving Employability Under the Background of Application-Orientated Undergraduate

Facing the development of"Internet+"and the demand of diversified talents in the market,excellent talents with computer operation ability are increasingly needed by all trades and professions.This"ability"added to professional skills will enhance the employment competitiveness to a great extent.Therefore,the traditional employment mode and talent training mode need to be transformed by various integrated means to adapt to the change in employment status.By analyzing the current situation and employment of agricultural application-oriented universities,the fusion course is put forward in this paper,taking the construction of the Office Automation course,a platform course of Heilongjiang Bayi Agricultural University,as an example.