Disassembly Processing Information Management System of Automotive Products Based on Disassembly Level Planning

As the current regulatory requirements of automobile disassembly and recycling are becoming strict increasingly, it is necessary to focus on environmental protection in the processing and information management system of disassembly and recycling. This paper studies on the information management method and system implementation of disassembly and recycling processing of automotive products. Firstly, the concept of parts-disassembly level is put forward and the level planning model is built together with the confirmed methods of parts-disassembly level scheme by LCIA. Then, a management system platform for disassembly process of automotive products is developed. Finally, the feasibility and availability of this system is verified by the application example of the disassembly level for a certain type automobile.

Download Full-text

DEVELOPING A GIS-BASED INFORMATION MANAGEMENT SYSTEM FOR ON-SITE WASTEWATER TREATMENT FACILITIES

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194008003738 ◽

2008 ◽

Vol 18 (04) ◽

pp. 503-513 ◽

Cited By ~ 2

Author(s):

SHUNFU HU ◽

JIANPENG ZHOU

Keyword(s):

Public Health ◽

Wastewater Treatment ◽

Environmental Protection ◽

Information Management ◽

Management System ◽

Spatial Information ◽

Information Management System ◽

The United States ◽

Management Tool ◽

Treatment Facilities

On-site wastewater treatment facilities (WWTFs) collect, treat, and dispose wastewater from dwellings that are not connected to municipal wastewater collection and treatment systems. They serve about 25% of the total population in the United States from an estimated 26 million homes, businesses, and recreational facilities nationwide. There is currently no adequate coordinated information management system for on-site WWTFs. Given the increasing concern about environmental contamination and its effect on public health, it is necessary to provide a more adequate management tool for on-site WWTFs information. This paper presents the development of an integrated, GIS-based, on-site wastewater information management system, which includes three components: (1) a mobile GIS for field data collection; (2) a World Wide Web (WWW) interface for electronic submission of individual WWTF information to a centralized GIS database in a state department of public health or state environmental protection agency; and (3) a GIS for the display and management of on-site WWTFs information, along with other spatial information such as land use, soil types, streams, and topography. It is anticipated that this GIS-based on-site wastewater information management system will provide environmental protection agencies and public health organizations with a spatial framework for managing on-site WWTFs and assessing the risks related to surface discharges.

Download Full-text

An Ontology-Based Medical Information Management System for Electronic Claim Processing Systems

10.21203/rs.2.17745/v2 ◽

2020 ◽

Author(s):

Ilker Kose

Keyword(s):

Information Management ◽

Management System ◽

Medical Information ◽

Data Bank ◽

Information Management System ◽

Domain Experts ◽

Plain Text ◽

Processing Information ◽

Healthcare Insurance ◽

Rule Consistency

Abstract Background: Electronic claim processing (ECP) systems in healthcare insurance require comprehensive and secure management of medical information. Even though state of the art ECP systems can read payment rules written in plain-text, there are hundreds of rules (each including dozens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage plain-text payment rules, the length and complexity of the rules yield low comprehensibility and in-rule and inter-rule consistencies. Hence, a more efficient and straightforward system is required. This study aims to make a claim management system medical data bank more efficient using ontology. Method: We developed an ontology-based medical information management system (ONTMIMS) in healthcare insurance to simplify payment rules. 1,312 sets of diagnosis and health services were included in the ONTMIMS. The development of the ontology was compromised of four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and iv) evaluation. Protégé and Apache Jena library tools were used to execute queries on the ontologies and the ONTMIMS was tested on an active ECP system. Results: The experiments indicated that ONTMIMS increased comprehensibility rates for domain experts from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5% and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions: Ontology, as in many other studies, is very useful in representing and processing information. This is the first study applying ontology to ECP systems for health insurance institutions. The results demonstrate that applying ontology increased in-rule and inter-rule consistency and made rule sentences more comprehensible to domain experts.

Download Full-text

An Ontology-Based Medical Information Management System for Electronic Claim Processing Systems

10.21203/rs.2.17745/v1 ◽

2019 ◽

Author(s):

Ilker Kose

Keyword(s):

Information Management ◽

Management System ◽

Medical Information ◽

Real Life ◽

Data Bank ◽

Information Management System ◽

Domain Experts ◽

Plain Text ◽

Processing Information ◽

Healthcare Insurance

Abstract Background The electronic claim processing (ECP) systems in healthcare insurance require, naturally, comprehensive, and secure management of medical information. Even though the state of the art ECP systems can read the payment rules written in plain-text, there are hundreds of rules (each including tens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage the plain-text payment rules, the length and complexity of the rules yield a lack of understandability and an increase in-rule and inter-rule inconsistencies. Hence, a more efficient and straightforward system is required. This study aims to make the medical data bank that is used for the claim management system more efficient by using ontology. Method We proposed ontology- based on the medical information management system (ONTMIMS) in healthcare insurance- to simplify the payment rules. 1,312 sets of diagnosis and health services are included in ONTMIMS. The development of the ontology compromises four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and, iv) evaluation. Protégé and Apache Jena library are conducted as tools, and the ONTMIMS is used in a real-life ECP system. Results The experiments indicated that ONTMIMS increased the understandability from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5%, and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions Ontology, as in many other studies, is very useful in representing and processing information. That is the first study using ontology in ECP systems used in health insurance institutions. The results showed that ontology increased the in-rule and inter-rule consistency and made the rule sentences more understandable by the domain experts.

Download Full-text