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Implementation of Usenet News Filtering Agent using Kohonen Network (코호넨 신경망을 사용한 유즈넷 뉴스 필터링 에이전트 구현)

  • 진승훈;김종완;이승아;김영순;김병만
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.5
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    • pp.21-28
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    • 2002
  • With the proliferation of internet and an increase in internet users, several kinds of vast information are provided to users on the internet. It is increasing in the need of personalization service by filtering user preferred news among various news documents provided through several news servers.. In this paper, we implemented a filtering agent system to meet to demand for personalized news service. In the proposed system, Kohonen network is used to train keywords provided by users and to classify news groups. Resulting from that, the personalized new service is achieved. After we trained and tested the filtering agent, we could provide users news groups with their intention.

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A Study on the Transition of Spatial Structure in Libraries with Special Reference to Rhizome and Hypertext (리좀과 하이퍼텍스트 관점에서 본 도서관 공간구조의 이해)

  • Choi, Yoon-Kyung;Kim, Min-Jung
    • Korean Institute of Interior Design Journal
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    • v.15 no.6 s.59
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    • pp.111-119
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    • 2006
  • The spatial property of contemporary library is now rapidly changing through the spatial expansion of knowledge and information, the reduction of information storing facility, the variation of approaching methods by digital shift and the transition of social recognition as a cultural facility. Also the spatial characteristics with referring characters have developed such as, decentralization, de-construction, de-boundary, individual space, erasing of boundary, flow of space which extends infinitely. The main process of library origination, the systematic classification, and the storage system concluding with the demand and value of the information by changing social demands and the role of the widest ranged facility. And 5 themes, such as, hierarchy, center, storage, boundary, and symbol, as a changed spatial concept and analyzed in the case of library plans and libraries which are actually built. The significant purpose of this research is to propose that rhizomatous intellectuality and hypertext could be a theoretical background of the contemporary architecture and could be a viewpoint of the transition of spatial structure in libraries. A future library should have spatial property embracing various social changes and needs and for this respect, it is necessary to approach and analyze through the architectural explication from diverging points of view.

The Current Status of Workers at Major Industrial Health Institutions in South Korea (우리나라 산업보건 주요기관의 인력 현황)

  • Young Gyu Phee;Seung Won Kim;Sa Woo Lee;Gwangyong Yi
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.33 no.1
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    • pp.70 -77
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    • 2023
  • Objectives: The purpose of this study was to identify information on the workers at major industrial health institutions. Methods: The subjects were employees at work environment measurement institutions, specialized health management institutions, special health examination institutions, and health checkup institutions. Data on these employees was identified by age, career, region, and qualification. Results: The sample totaled 6,449 workers at major industrial health institutions. The number of doctors, nurses, and industrial hygienists was identified at 4,609. For their age groups, 34.1% were in their 30s, and 56.3% had less than five years of work experience. The distribution by region was 24.3% in Gyeonggi-do Province, 12.7% in Seoul, and 8.7% in Gyeongsangnam-do Province. Conclusions: Information on occupational health human resources has been published irregularly and is limited by specialty. Therefore, it is necessary to systematize information on human resources and disclose it regularly so that supply and demand conditions can be predicted when establishing industrial accident prevention policies.

Policies and ICT Strategies based on Health Needs for Multicultural Families (다문화가족의 건강욕구 분석 및 정보접근성 향상을 위한 ICT 활용 방안)

  • Suyong Jeong;Sun-Young Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.1-14
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    • 2024
  • The study aims to comprehend the health needs of multicultural families, identify relevant policies, and explore ways to enhance health information accessibility through Information and Communication Technology (ICT). Employing a qualitative research method, the health status of multicultural families was analyzed through literature review, followed by in-depth interviews. The findings revealed a lower priority given to health policies for multicultural families compared to other governmental sectors, with limited discussion on leveraging ICT for improved accessibility. In-depth interviews highlighted four main themes: "Early experiences in Korean society," "Language barriers in medical facilities," "Unmet healthcare needs for various reasons," and "High demand for health-related services." To safeguard health rights and enhance information accessibility, we recommend strengthening linguistic support in healthcare institutions, implementing government efforts for multicultural families, and designing user-centered ICT platforms.

De-Centralized Information Flow Control for Cloud Virtual Machines with Blowfish Encryption Algorithm

  • Gurav, Yogesh B.;Patil, Bankat M.
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.235-247
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    • 2021
  • Today, the cloud computing has become a major demand of many organizations. The major reason behind this expansion is due to its cloud's sharing infrastructure with higher computing efficiency, lower cost and higher fle3xibility. But, still the security is being a hurdle that blocks the success of the cloud computing platform. Therefore, a novel Multi-tenant Decentralized Information Flow Control (MT-DIFC) model is introduced in this research work. The proposed system will encapsulate four types of entities: (1) The central authority (CA), (2) The encryption proxy (EP), (3) Cloud server CS and (4) Multi-tenant Cloud virtual machines. Our contribution resides within the encryption proxy (EP). Initially, the trust level of all the users within each of the cloud is computed using the proposed two-stage trust computational model, wherein the user is categorized bas primary and secondary users. The primary and secondary users vary based on the application and data owner's preference. Based on the computed trust level, the access privilege is provided to the cloud users. In EP, the cipher text information flow security strategy is implemented using the blowfish encryption model. For the data encryption as well as decryption, the key generation is the crucial as well as the challenging part. In this research work, a new optimal key generation is carried out within the blowfish encryption Algorithm. In the blowfish encryption Algorithm, both the data encryption as well as decryption is accomplishment using the newly proposed optimal key. The proposed optimal key has been selected using a new Self Improved Cat and Mouse Based Optimizer (SI-CMBO), which has been an advanced version of the standard Cat and Mouse Based Optimizer. The proposed model is validated in terms of encryption time, decryption time, KPA attacks as well.

Real-Time Indexing Performance Optimization of Search Platform Based on Big Data Cluster (빅데이터 클러스터 기반 검색 플랫폼의 실시간 인덱싱 성능 최적화)

  • Nayeon Keum;Dongchul Park
    • Journal of Platform Technology
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    • v.11 no.6
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    • pp.89-105
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    • 2023
  • With the development of information technology, most of the information has been converted into digital information, leading to the Big Data era. The demand for search platform has increased to enhance accessibility and usability of information in the databases. Big data search software platforms consist of two main components: (1) an indexing component to generate and store data indices for a fast and efficient data search and (2) a searching component to look up the given data fast. As an amount of data has explosively increased, data indexing performance has become a key performance bottleneck of big data search platforms. Though many companies adopted big data search platforms, relatively little research has been made to improve indexing performance. This research study employs Elasticsearch platform, one of the most famous enterprise big data search platforms, and builds physical clusters of 3 nodes to investigate optimal indexing performance configurations. Our comprehensive experiments and studies demonstrate that the proposed optimal Elasticsearch configuration achieves high indexing performance by an average of 3.13 times.

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The Design of an Intelligent Assembly Robot System for Lens Modules of Phone Camera.

  • Song, Jun-Yeob;Lee, Chang-Woo;Kim, Yeong-Gyoo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.649-652
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    • 2005
  • The camera cellular phone has a large portion of cellular phone market in recent year. The variety of a customer demand makes a fast model change and the spatial resolution is changed from VGA to multi-mega pixel. The 1.3 mega pixel (MP) camera cellular phone was first released into the Korean market in October 2003. The major cellular phone companies released a 2MP camera cellular phone that supports zoom function and a 2MP camera cellular phone is settled down with the Korea cellular phone market. It makes a keen competition in price and demands automation for phone camera module. There is an increasing requirement for the automatic assembly to correspond to a fast model change. The hard automation techniques that rely on dedicated manufacturing system are too inflexible to meet this requirement. Therefore in this study, this system is designed with the flexibility concept in order to cope with phone camera module change. The system has a same platform that has X-Y-Z motion or X-Z motion with ${\mu}m$order accuracy. It has a special gripper according to the type of a component to be put together. If the camera model changes, the gripper may be updated to fit for the camera module. The controller of this system acquires the data sets that have the information about the assembly part by the tray. This information is obtained ahead of an inspection step. The controller excludes an inferior part to be assembled by using this information to diminish the inferior goods. The assembly jig used in this system has a function of self adjustment that reduces the tact time and also diminish the inferior goods. Finally, the intelligent assembly system for phone camera module will be designed to get a flexibility to meet model change and a high productivity with a high reliability.

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The Study on analysis methodology of optimal performance and quantity for Mission-Based drones (임무 기반 드론의 최적성능 및 소요량 분석 방법론 연구)

  • Ha, Young-Seok
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.231-236
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    • 2020
  • This paper addresses the analysis method about optimal performance and required quantity for Mission-Based drones. In the case of drones, although scientific verification of operational performance and quantity of demanded, such as total flight time, total operation time, and appropriate required quantity, is required depending on the operation concept, there is no methodology for analyzing them systematically. That is the reason this research was carried out. Through the suggestion and study about Mission-Based six step analysis method and, this study can present the optimal ROC (Required Operational Capability) and the required quantity based on the operational concept of drones, and technical and economic effects were suggested.

Virtual Machine Placement Methods using Metaheuristic Algorithms in a Cloud Environment - A Comprehensive Review

  • Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.147-158
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    • 2022
  • Cloud Computing offers flexible, on demand, ubiquitous resources for cloud users. Cloud users are provided computing resources in a virtualized environment. In order to meet the growing demands for computing resources, data centres contain a large number of physical machines accommodating multiple virtual machines. However, cloud data centres cannot utilize their computing resources to their total capacity. Several policies have been proposed for improving energy proficiency and computing resource utilization in cloud data centres. Virtual machine placement is an effective method involving efficient mapping of virtual machines to physical machines. However, the availability of many physical machines accommodating multiple virtual machines in a data centre has made the virtual machine placement problem a non deterministic polynomial time hard (NP hard) problem. Metaheuristic algorithms have been widely used to solve the NP hard problems of multiple and conflicting objectives, such as the virtual machine placement problem. In this context, we presented essential concepts regarding virtual machine placement and objective functions for optimizing different parameters. This paper provides a taxonomy of metaheuristic algorithms for the virtual machine placement method. It is followed by a review of prominent research of virtual machine placement methods using meta heuristic algorithms and comparing them. Finally, this paper provides a conclusion and future research directions in virtual machine placement of cloud computing.

Interference-Prediction based Online Routing Aglorithm for MPLS Traffic Engineering (MPLS 트래픽 엔지니어링을 위한 간섭 예측 기반의 online 라우팅 알고리듬)

  • Lee, Dong-Hoon;Lee, Sung-Chang;Ye, Byung-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.12
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    • pp.9-16
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    • 2005
  • A new online routing algerian is proposed in this paper, which use the interference-prediction to solve the network congestion originated from extension of Internet scope and increasing amount of traffic. The end-to-end QoS has to be guaranteed in order to satisfy service level agreements (SLAs) in the integrated networks of next generation. For this purpose, bandwidth is allocated dynamically and effectively, moreover the path selection algorithm is required while considering the network performance. The proposed algorithm predicts the level of how much the amount of current demand interferes the future potential traffic, and then minimizes it. The proposed algorithm considers the bandwidth on demand, link state, and the information about ingress-egress pairs to maximize the network performance and to prevent the waste of the limited resources. In addition, the interference-prediction supports the bandwidth guarantee in dynamic network to accept more requests. In the result, the proposed algorithm performs the effective admission control and QoS routing. In this paper, we analyze the required conditions of routing algorithms, the aspect of recent research, and the representative algorithms to propose the optimized path selection algorithm adequate to Internet franc engineering. Based on these results, we analyze the problems of existing algorithms and propose our algorithm. The simulation shows improved performance by comparing with other algorithms and analyzing them.