• Title/Summary/Keyword: Utility Work

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Impulse Response Characteristics of the Grounding Systems with respect to the Common-Connection Position in Power Utility System (수변전설비에서 접지시스템의 공결점의 위치에 따른 임펄스 응답특성)

  • Lee, B.H.;Eom, J.H.;Kim, S.W.;Shim, P.S.;Lee, S.C.
    • Proceedings of the KIEE Conference
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    • 1999.07e
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    • pp.2149-2151
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    • 1999
  • This paper describes the impulse response characteristics of the grounding systems in power utility system. Several regulations regarding to electric power equipments, services and managements require that the groundings of class 1 ($E_1$) and class 2 ($E_2$) must be connected at the common point in grounding systems. In addition, the grounding for arrester ($E_{LA}$), which belongs to the grounding of class 1, should be connected at the same point. However, there is no method and position of common-connection at anywhere. In this work, when the impulse current was injected through the grounding conductor for arrester, the investigations measuring and analyzing potential rises induced at the common connection point and other grounding conductors were conducted. The experiments were carried out in the conditions of the grounding conductor of 25m long and the near or remote common connection from ground electrode. The lightning impulse current was applied so as to simulate the on-set of arrester due to lightning and/or switching surges.

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A parametric bootstrap test for comparing differentially private histograms (모수적 부트스트랩을 이용한 차등정보보호 히스토그램의 동질성 검정)

  • Son, Juhee;Park, Min-Jeong;Jung, Sungkyu
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.1-17
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    • 2022
  • We propose a test of consistency for two differentially private histograms using parametric bootstrap. The test can be applied when the original raw histograms are not available but only the differentially private histograms and the privacy level α are available. We also extend the test for the case where the privacy levels are different for different histograms. The resident population data of Korea and U.S in year 2020 are used to demonstrate the efficacy of the proposed test procedure. The proposed test controls the type I error rate at the nominal level and has a high power, while a conventional test procedure fails. While the differential privacy framework formally controls the risk of privacy leakage, the utility of such framework is questionable. This work also suggests that the power of a carefully designed test may be a viable measure of utility.

Legal and Institutional Issues and Improvements for the Adoption and Utilization of Artificial Intelligence in Government Services (정부서비스에서의 인공지능 도입 및 활용을 위한 법제도적 쟁점과 개선과제)

  • BeopYeon Kim
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.53-80
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    • 2023
  • Expectations for artificial intelligence technology are increasing, and its utility value is growing, leading to active use in the public sector. The use of artificial intelligence technology in the public sector has a positive impact on aspects such as improving public work efficiency and service quality, enhancing transparency and reliability, and contributing to the development of technology and industries. For these reasons, major countries including Korea are actively developing and using artificial intelligence in the public sector. However, artificial intelligence also presents issues such as bias, inequality, and infringement of individuals' right to self-determination, which are evident even in its utilization in the public sector. Especially the use of artificial intelligence technology in the public sector has significant societal implications, as well as direct implications on limiting and infringing upon the rights of citizens. Therefore, careful consideration is necessary in the introduction and utilization of such technology. This paper comprehensively examines the legal issues that require consideration regarding the introduction of artificial intelligence in the public sector. Methodological discussions that can minimize the risks that may arise from artificial intelligence and maximize the utility of technology were proposed in each process and step of introduction.

A study on sequencing of Mixed Model Assembly Line for increasing productivity (혼합모델조립라인의 생산성 제고를 위한 작업순서 결정)

  • 최종열
    • Korean Management Science Review
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    • v.13 no.2
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    • pp.25-48
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    • 1996
  • Mixed Model Assembly Lines (MMALs) are increasingly used to produce differentiated products on a single assembly line without work-in-process storage, Usually, a typical MMAL consists of a number of (1) stations doing exactly the same operation on every job, (2) stations involving operations with different choices, and (3) stations offering operations that are not performed on every job, or that are performed on every job but with many options. For stations of the first type there is no sequencing problem at all. However, for the second type a set-up cost is incurred each time the operation switches from one choice to another. At the third type of stations, different models, requring different amounts and choices of assembly work, creates an uneven flow of work along the line and variations in the work load at these stations. When a subsequence of jobs requires more work load than the station can handle, it is necessary to help the operations at the station or to complete the work elsewhere. Therefore, a schedule which minimize the sum of set-up cost and utility work cost is desired. So this study has developed Fixed Random Ordering Rule (FROR), Fixed Ascending Ordering Rule (FAOR), Fixed Descending Ordering Rule, and Extended NHR (ENHR). ENHR is to choose optimal color ordering of each batch with NHR, and to decide job sequence of the batch with it, too. As the result of experiments, ENHR was the best heuristic algorithm. NHR is a new heuristic rule in which only the minimum addition of violations from both partial sequence and unassigned sequence at every branch could be considered. And this is a heuristic sequencing rule for the third type of stations at MMAL. This study developed one more heuristic algorithm to test the performance of NHR, which is named as Practical Heuristic Rule (PHR).

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A Study on the Design for Fashion Cultural Product with Formative Beauty in Traditional Ornament Unique to Korean Females (전통 여성 수식의 형태미를 활용한 패션문화상품 디자인 연구)

  • Kim, Sun Young;Kwon, Jin
    • Journal of the Korean Society of Costume
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    • v.63 no.3
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    • pp.33-45
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    • 2013
  • This work developed the basic motive design utilizing the physical beauty of the traditional ornaments used uniquely by Korean females and suggested some textile designs and fashion cultural product designs. As a research method, computer design programs Adobe Illustrator CS3 and Adobe Photoshop CS3 were used as well as literature examination. The motive was mainly based on the dwiggoji and ddeoljam, which are female ornaments. The formative shape in woman ornaments was classified into four kinds: plant, animal, geometry, and hybrid. The hybrid type was divided further into such combinations as plant, animal, and geometry, which came up with 8 fundamental motives for design development in total. With regard to the basic motive design, the coordinated concept was adopted with a combination of traditional taste and contemporary taste in harmony for the expression of delicate image on the condition that the basic format in female ornament is maintained. Textile design was processed with symmetry, rotation, repeat, and overlap as fundamental motive. As to the design for fashion cultural products, design mapping was proposed for neckties, handbags, clutches, shirts, and one-pieces. Utility and beauty in the traditional ornaments unique to Korean women could be recognized once again through this work. This work also assured the possibility for the endless improvement as a design development motive with originality.

A Study on the Earth-work Volume Calculation for Route Alignment of Highway (도로선형의 결정에서 토공량 산정에 관한 연구)

  • 최재화;이석배;심정민
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.11 no.2
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    • pp.89-100
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    • 1993
  • This paper is a study on the earth volume calculation using CAD and LISP(LIST Processing) in the route alignment. The utility enlargement in the industry field and the considerable progress of computer make the automatic design and manufacture for the development of CAD/CAM/CAE technique possible, and the automatic design of civil engineering works is continuously progressive. In this study we are intend to improve an effect of civil engineering work by the automatic earth volume calculation in route alignment. This paper aims to construct the automatic design system of civil engineering work and the procedures; (1) The programming of the self-scanning program of the land information introducing Digital Terrain Model concept in the map (2) Systematic algorithm construction using LISP and grafting CAD system (3) Automatic design and calculation of the mass curve and earth volume.

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An Energy Efficient Clustering Algorithm in Mobile Adhoc Network Using Ticket Id Based Clustering Manager

  • Venkatasubramanian, S.;Suhasini, A.;Vennila, C.
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.341-349
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    • 2021
  • Many emerging mobile ad-hoc network application communications are group-oriented. Multicast supports group-oriented applications efficiently, particularly in a mobile environment that has a limited bandwidth and limited power. Energy effectiveness along with safety are 2 key problem in MANET design. Within this paper, MANET is presented with a stable, energy-efficient clustering technique. In this proposed work advanced clustering in the networks with ticket ID cluster manager (TID-CMGR) has formed in MANET. The proposed routing scheme makes secure networking the shortest route possible. In this article, we propose a Cluster manager approach based on TICKET-ID to address energy consumption issues and reduce CH workload. TID-CMGR includes two mechanism including ticket ID controller, ticketing pool, route planning and other components. The CA (cluster agent) shall control and supervise the functions of nodes and inform to TID-CMGR. The CH conducts and transfers packets to the network nodes. As the CH energy level is depleted, CA elects the corresponding node with elevated energy values, and all new and old operations are simultaneously stored by CA at this time. A simulation trial for 20 to 100 nodes was performed to show the proposed scheme performance. The suggested approach is used to do experimental work using the NS- simulator. TIDCMGR is compared with TID BRM and PSO to calculate the utility of the work proposed. The assessment shows that the proposed TICKET-ID scheme achieves 90 percent more than other current systems.

A study about Gollyun(昆侖) Choe, Changdae(崔昌大)'s prose theory (곤륜(昆侖) 최창대(崔昌大)의 문장론 연구)

  • Kwon, Jin-ok
    • (The)Study of the Eastern Classic
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    • no.73
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    • pp.9-33
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    • 2018
  • This paper examines the literary theory of Gollyun(昆侖) Choe, Changdae(崔昌大, 1669-1720). He has authored a variety of works, and his works have been recognized in many literatures. Because of this, studying his literature is a meaningful. The theory of poem creation is as follows. It is the basic poem creationism that expresses the feelings that I experienced and felt as it is. The utility is to multiply and control the artist's feelings through his poem. However, the creative theory of being the best writer is different from this. It must be premised on finding from the heart and studying various books. If these qualities was provided, the words are clear and the meaning is condensed. He distinguished between general works and the best works, and presented their own creative theory and discussed their utility. The theory of prose utility is as follows. He emphasizes the importance of communicating with contemporaries and establishing important things of the day and making them easier to understand, without specifying the morality. This is a thoroughly realistic utility theory. In the classical chinese prose's history, 'Sadal(辭達)' and 'Susa(修辭)' were issues. He transcends the recognition of 'Sadal(辭達)' and 'Susa(修辭)' as zero-sum. In addition, he gives priority to the meaning of the writer and emphasizes self-realization, which is in common with other political soron(少論) writers' theories. When creating prose, simplicity and bizarreness were issues. He emphasizes concise writing. However, it can be realized when a writer with high opinion is aware of the reason and raises the core. Through various sources, he has completely rejected Ming(明) dynasty's former and latter seven master(前後七子). However, he did not exclude their work unilaterally, and recognized the work of Chin-Han dynasty(秦漢) and Dang-Song dynasty(唐宋). This is the same as his father Choiseokjung(崔錫鼎). He recognized Chin-Han dynasty(秦漢) and Dang-Song dynasty(唐宋) equally, and sought a simplified and summarized style.

Mapping Tool for Semantic Interoperability of Clinical Terms (임상용어의 의미적 상호운영성을 위한 매핑 도구)

  • Lee, In-Keun;Hong, Sung-Jung;Cho, Hune;Kim, Hwa-Sun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.167-173
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    • 2011
  • Most of the terminologies used in medical domain is not intended to be applied directly in clinical setting but is developed to integrate the terms by defining the reference terminology or concept relations between the terms. Therefore, it is needed to develop the subsets of the terminology which classify categories properly for the purpose of use and extract and organize terms with high utility based on the classified categories in order to utilize the clinical terms conveniently as well as efficiently. Moreover, it is also necessary to develop and upgrade the terminology constantly to meet user's new demand by changing or correcting the system. This study has developed a mapping tool that allows accurate expression and interpretation of clinical terms used for medical records in electronic medical records system and can furthermore secure semantic interoperability among the terms used in the medical information model and generate common terms as well. The system is designed to execute both 1:1 and N:M mapping between the concepts of terms at a time and search for and compare various terms at a time, too. Also, in order to enhance work consistency and work reliability between the task performers, it allows work in parallel and the observation of work processes. Since it is developed with Java, it adds new terms in the form of plug-in to be used. It also reinforce database access security with Remote Method Invocation (RMI). This research still has tasks to be done such as complementing and refining and also establishing management procedures for registered data. However, it will be effectively used to reduce the time and expenses to generate terms in each of the medical institutions and improve the quality of medicine by providing consistent concepts and representative terms for the terminologies used for medical records and inducing proper selection of the terms according to their meaning.

Anatomy of Sentiment Analysis of Tweets Using Machine Learning Approach

  • Misbah Iram;Saif Ur Rehman;Shafaq Shahid;Sayeda Ambreen Mehmood
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.97-106
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    • 2023
  • Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.