• Title/Summary/Keyword: Database Management Systems

Search Result 1,027, Processing Time 0.023 seconds

GIS Oriented Platform For Solving Real World Logistic Vehicle Routing Problem

  • Md. Shahid Uz Zaman;Chen, Yen-Wei;Hayao Miyagi
    • Proceedings of the IEEK Conference
    • /
    • 2002.07b
    • /
    • pp.1248-1251
    • /
    • 2002
  • Logistics optimization problems related with vehicle routing such as warehouse locating, track scheduling, customer order delivery, wastage pickup etc. are very interesting and important issues to date. Many Vehicle Routing and Scheduling Systems (VRSS) have been developed/proposed to optimize the logistics problems. But majority of them are dedicated to a particular problem and are unable to handle the real world spatial data directly. The system developed for one problem may not be suitable for others due to inter-problem constraint variations. The constraints may include geographical, environmental and road traffic nature of the working region along with other constraints related with the problem. So the developer always needs to modify the original routing algorithm in order to fulfill the purpose. In our study, we propose a general-purpose platform by combining GIS road map and Database Management System (DBMS), so that VRSS can interact with real world spatial data directly to solve different kinds of vehicle routing problems. Using the features of our developed system, the developer can frequently modify the existing algorithm or create a new one to serve the purpose.

  • PDF

Web-based Information System Construction of Animal Manure Matching Service for Recycling Agriculture (경축순환농업을 위한 가축분뇨 자원화 웹기반 정보은행 구축)

  • Ryoo, Jong-Won;Choi, Deog-Cheon
    • Korean Journal of Organic Agriculture
    • /
    • v.21 no.1
    • /
    • pp.1-18
    • /
    • 2013
  • Animal and crop production systems were integrated on a single farm. This integrated farming system recycled nutrients on the farm. The separation of animal and crop production with the introduction of cheap commercial fertilizers, farms were not used land-applied manure. The on-line manure matching is one of the emerging business in the achievement of recycling and resource recovery. The manure matching actively promotes the reuse and recycling of by-products and manure. This study constructs to manure matching information system to solve the exchange problems between herders and croppers. Manure matching web sites designed. This paper introduces a web-based animal manure matching system. A manure matching service, part of the manure transport, links farmers who produce excess manure with farmers who can use the manure. Farmers registered with the service have requested manure. The manure matching service supports the transport project by linking farmers with excess manure with those farmers who can utilize the manure safely as a nutrient source. The goal of the service is to protect water quality by fostering efficient land application. Benefits to those who use the manure network include reduced disposal costs, lower purchase costs and recycling of manure. The manure matching is based on the principle that 'one persons waste is another person's fertilizer.' It provides a free online matchmaking service for environmentally safe manure recycling management system.

Internet Information Orientation: The Link to National Competitiveness on Internet

  • Song, In Kuk;Kang, Mingoo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.9 no.8
    • /
    • pp.3028-3039
    • /
    • 2015
  • Recently, the web index of Korea peaked at the top 10 among the eighty six countries, and Korea became the only Asian country ranked at the top level. Korea also has been on the top in the field of Internet penetration rate, in terms of both high-speed broadband and wireless Internet. However, such achievements did not guarantee the national level for the effective use of information utilizing Internet. According to OECD, the national informatization index of Korea has not been free from the middle of the OECD countries. Despite of the heightened pressure in practically enhancing effective information use utilizing Internet, the previous research interests and efforts to develop the Internet-related framework or to identify Internet capabilities rarely existed. The study aims to propose the framework, named "Internet Information Orientation" that illustrates the relationship between Internet capabilities and national competitiveness on Internet. The research identified the specific Internet capabilities, reclassified the capabilities based on the research issues provided at the 6th international conference on Internet held in December 2014, and finally described the rigorous research endeavors on the issues. As a result, 16 papers presented and selected as the outstanding papers at the conference handle issues to be brought together, which include: Wireless Network, Internet of Things, Green Computing, Multimedia Processing, Big Data and Text Mining, Database in Cloud Environment, Business Intelligence, Software Engineering, IT Strategy & Policy, and Social Network Services.

Speaker Adaptation Using i-Vector Based Clustering

  • Kim, Minsoo;Jang, Gil-Jin;Kim, Ji-Hwan;Lee, Minho
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.14 no.7
    • /
    • pp.2785-2799
    • /
    • 2020
  • We propose a novel speaker adaptation method using acoustic model clustering. The similarity of different speakers is defined by the cosine distance between their i-vectors (intermediate vectors), and various efficient clustering algorithms are applied to obtain a number of speaker subsets with different characteristics. The speaker-independent model is then retrained with the training data of the individual speaker subsets grouped by the clustering results, and an unknown speech is recognized by the retrained model of the closest cluster. The proposed method is applied to a large-scale speech recognition system implemented by a hybrid hidden Markov model and deep neural network framework. An experiment was conducted to evaluate the word error rates using Resource Management database. When the proposed speaker adaptation method using i-vector based clustering was applied, the performance, as compared to that of the conventional speaker-independent speech recognition model, was improved relatively by as much as 12.2% for the conventional fully neural network, and by as much as 10.5% for the bidirectional long short-term memory.

A Study on Building the Global Business Service Network (종합기업서비스정보망(Inno-NET)구축에 관한 연구)

  • Shin, Ki-Jeong
    • Journal of Information Management
    • /
    • v.29 no.2
    • /
    • pp.1-17
    • /
    • 1998
  • The Inno-NET, which is based on the Internet and up-to-date information technology, is a consolidated system to provide business-related information and to solve the difficulties in business activities. In particular, the Inno-NET is an information system to integrate such business information for enterprise as start-up, financing, technology development, recruiting, site acquisition, marketing, trade and investment and so on, in order to help companies solve their problems and make up for their weak points. Accordingly, the Inno-NET will systematically connect supporting agencies and innovative enterprises, thus guaranteeing the exchange of information among them and coordinating the business. The supporting agencies will be included government offices, public organizations, research institutes, universities, and industrial associations all over the ministries. In short, Inno-NET forms a real-time decision making system among government, industries, universities and research institutes. by elt:ictronic networking on the Internet.

  • PDF

Tailoring Operations based on Relational Algebra for XES-based Workflow Event Logs

  • Yun, Jaeyoung;Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
    • /
    • v.20 no.6
    • /
    • pp.21-28
    • /
    • 2019
  • Process mining is state-of-the-art technology in the workflow field. Recently, process mining becomes more important because of the fact that it shows the status of the actual behavior of the workflow model. However, as the process mining get focused and developed, the material of the process mining - workflow event log - also grows fast. Thus, the process mining algorithms cannot operate with some data because it is too large. To solve this problem, there should be a lightweight process mining algorithm, or the event log must be divided and processed partly. In this paper, we suggest a set of operations that control and edit XES based event logs for process mining. They are designed based on relational algebra, which is used in database management systems. We designed three operations for tailoring XES event logs. Select operation is an operation that gets specific attributes and excludes others. Thus, the output file has the same structure and contents of the original file, but each element has only the attributes user selected. Union operation makes two input XES files into one XES file. Two input files must be from the same process. As a result, the contents of the two files are integrated into one file. The final operation is a slice. It divides anXES file into several files by the number of traces. We will show the design methods and details below.

Machine Learning based Prediction of The Value of Buildings

  • Lee, Woosik;Kim, Namgi;Choi, Yoon-Ho;Kim, Yong Soo;Lee, Byoung-Dai
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.8
    • /
    • pp.3966-3991
    • /
    • 2018
  • Due to the lack of visualization services and organic combinations between public and private buildings data, the usability of the basic map has remained low. To address this issue, this paper reports on a solution that organically combines public and private data while providing visualization services to general users. For this purpose, factors that can affect building prices first were examined in order to define the related data attributes. To extract the relevant data attributes, this paper presents a method of acquiring public information data and real estate-related information, as provided by private real estate portal sites. The paper also proposes a pretreatment process required for intelligent machine learning. This report goes on to suggest an intelligent machine learning algorithm that predicts buildings' value pricing and future value by using big data regarding buildings' spatial information, as acquired from a database containing building value attributes. The algorithm's availability was tested by establishing a prototype targeting pilot areas, including Suwon, Anyang, and Gunpo in South Korea. Finally, a prototype visualization solution was developed in order to allow general users to effectively use buildings' value ranking and value pricing, as predicted by intelligent machine learning.

Evaluation of Deterioration on Steel Bridges Based on Bridge Condition Ratings

  • Park, Chan-Hee
    • Corrosion Science and Technology
    • /
    • v.3 no.4
    • /
    • pp.166-171
    • /
    • 2004
  • Recent developments in Bridge Management Systems (BMS) and in Life-Cycle Cost (LCC) of bridges, have raised the need for evaluation procedure of future condition (Deterioration) of a bridge. Predicting future deterioration is not an easy task due to limited past data to extrapolate from and also due to difficulty in measuring actual deterioration such as section loss of steel on an actual steel bridge. Also, increase in live load and reduction of resistance are random variables, thus a probabilistic approach should be adopted for determining the future deterioration. Due to difficulties in evaluation of future deterioration on steel bridges, accepting uncertainties within a reasonable error, a deterministic procedure using bridge condition rating can be a useful tool for projection of future condition of bridges to identify repair and maintenance needs. The object of this paper is to determine applicability of evaluating deterioration of steel bridge components based on Bridge condition ratings. Bridge condition ratings of bridge components show wide variation for bridges of same age and does not directly correlate well with the age of the bridge and/or deterioration of the bridge. High uncertainty can be reduced by breaking down the rating and by sensitivity analysis. From refined condition rating data, generalized deterioration profile of structures based on age can be derived. Examples are shown for sample bridges in USA. Approximately, 3,000 short to medium span steel bridges were listed in the inventory database. Results show wide variation of rating factors but by subdividing the Bridge condition ratings for various categories general deterioration profiles of steel bridges can be determined.

Development of Peripheral Devices on the Endoscopic Surgery System (내시경 수술시스템의 주변장치 개발)

  • Lee, Young-Mook;Song, Chul-Gyu;Lee, Sang-Min;Kim, Won-Ky
    • Proceedings of the KOSOMBE Conference
    • /
    • v.1995 no.05
    • /
    • pp.164-166
    • /
    • 1995
  • The objectives of study are to develop a peripheral device on the endoscopic surgery system. These systems are consist of the following units. They are a color monitor of high resolution, light source, computer system and endoscopic camera with a C-mount head, irrigator, color video printer, Super VHS recorder and a system rack. The color monitor is a NTSC monitor for monitoring the image projected of the surgical section. The lightsource is necessary to irradiate the interior of a body via an optic fiber, The light projector will adapt the brightness in accordance with changing distance from the object. A miniature camera using a color CCD chip and computer system is used to capture and control an image of the surgical section[1]. The video printer is a 300 DPI resolution using thermal sublimation methods, which is developed by Samsung Electronics Co., Ltd. The specification of the endoscopic data management system is consist of storage of a captured image and pathological database of patients [2-4].

  • PDF

Storing and Querying Trajectory Information on PostgreSQL/PostGIS (PostgreSQL/PostGIS 기반의 궤적 정보 저장 및 질의)

  • Yang, Pyoung-Woo;Lee, Yong-Mi;Lee, Yon-Sik;Nam, Kwang-Woo
    • Spatial Information Research
    • /
    • v.19 no.2
    • /
    • pp.57-64
    • /
    • 2011
  • This paper describes how to storing and querying trajectory information on PostgreSQL/PostGIS. Recently as technology of mobile devices is advancing, many researches for location-based services and moving object's trajectory have been studied. Trajectory is the set of information of the location by the time, and is one of the most im portant information for location-based services. Traditional spatial database systems do not support trajectory data types and functions. In this paper, we propose a trajectory data type and query functions for moving objects on PostgreSQL/PostGIS.