• Title/Summary/Keyword: Authors' Productivity

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Effects of Pretreatment Time and pH low set value on Continuous Mesophilic Hydrogen Fermentation of Food Waste (열처리 시간과 pH 하한값이 음식물쓰레기 연속 중온 수소 발효에 미치는 영향)

  • Kim, Sang-Hyoun;Lee, Chae-Young
    • Journal of Korean Society of Water and Wastewater
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    • v.25 no.3
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    • pp.343-348
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    • 2011
  • Since 2005, food waste has been separately collected and recycled to animal feed or aerobic compost in South Korea. However, the conventional recycling methods discharge process wastewater, which contain pollutant equivalent to more than 50% of food waste. Therefore, anaerobic digestion is considered as an alternative recycling method of food waste to reduce pollutant and recover renewable energy. Recent studies showed that hydrogen can be produced at acidogenic stage in two-stage anaerobic digestion. In this study, the authors investigated the effects of pretreatment time and pH low set value on continuous mesophilic hydrogen fermentation of food waste. Food waste was successfully converted to $H_2$ when heat-treated at $70^{\circ}C$ for 60 min, which was milder than previous studies using pH 12 for 1 day or $90^{\circ}C$. Organic acid production dropped operational pH below 5.0 and caused a metabolic shift from $H_2/butyrate$ fermentation to lactate fermentation. Therefore, alkaline addition for operational pH at or over 5.0 was necessary. At pH 5.3, the result showed that the maximum hydrogen productivity and yield of 1.32 $m^3/m^3$.d and 0.71 mol/mol $carbohydrate_{added}$. Hydrogen production from food waste would be an effective technology for resource recovery as well as waste treatment.

The Anti-Sway System for Yard Crane Using Auxiliary Ropes (보조로프를 이용한 야드크레인의 안티스웨이 시스템)

  • 박찬훈;박경택;김두형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.526-529
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    • 2002
  • The development of automated container terminal has been a hot issue for recent years. It's very natural because it's very important how many containers, how soon, and how precisely a container terminal can treat. A crane treats a very heavy container, maybe, no less than 20∼40 tons, thus most cranes use ropes to take up and land containers. But rope causes the sway of a container and this phenomenon is not avoided. On the ground of this, in most case how much skillful a driver is may affect the productivity of a yard or quay crane. Thus many researches have been concentrated on the development of the control algorithm for a crane which may be useful and robust enough to drive a crane without any human driver. Authors of this paper also are interested in this kind of research but we have been much more interested for years in the development of a mechanical structure which may cause much less sway than the existing cranes do. In this paper, we may introduce the basic structure of the developed anti-sway system.

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Stability Assessment of Underground Limestone Mine Openings by Stability Graph Method (Stability graph method에 의한 석회석 지하채굴 공동의 안정성 평가)

  • Sunwoo Choon;Jung Yong-Bok
    • Tunnel and Underground Space
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    • v.15 no.5 s.58
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    • pp.369-377
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    • 2005
  • The stability of underground openings is a major concern for the safety and productivity of mining operations. Rock mass classification methods provide the basis of many empirical design methods as well as a basis for numerical analysis. Of the many factors which influence the stability of openings, the span of the opening for a given rock mass condition provides an important parameter of design. In this paper, the critical span curves proposed by Lang, the Mathews stability graph method and the modified critical span curve suggested by the authors have been assessed. The modified critical span curve was proposed by using Mathews stability graph method. The modified critical span curve by the author have been used to assess the stability of underground openings in several limestone mines.

Evaluation Framework for Routinization of ERP (ERP 내재화 평가 프레임워크에 관한 연구)

  • Kim, Jong Il;Hwang, K.T
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.77-97
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    • 2017
  • ERP is an essential information system (IS) that many companies are operating on the basis of this solution. Since ERP is a very important system that is used in business operation and provides quantified information about the efficiency and productivity of the business activities, difference of competitiveness between companies that have successfully implemented ERP and those that do not have is very large. According to a survey done by a global consulting firm, far less than half of the companies are evaluated as successfully internalizing ERP into their organizations. Therefore, there is a need for an accurate assessment of ERP usage and an improvement of ERP based on it and the need become to increase largely. However, in reality, there is neither the systematic evaluation methods or any research about this topic. This study proposes a framework for evaluating the routinization of ERP throughout the life cycle of the ERP based on both the literature in the enterprise architecture, ERP lifecycle, ERP success areas, and actual experience of the authors in ERP implementation. The proposed framework intends to satisfy the following functional requirements : 1) the entire lifecycle of ERP should be evaluated; 2) evaluation of ERP should be performed from the enterprise-wide perspective; 3) evaluation should focus on the core activities of the organization; and objective evaluation criteria should be used in the evaluation.

Research and Development of Closed Ecological and Biotechnical Systems in Live Stock

  • Chmil, A.;Chervinsky, L.;Oliinyk, Y.
    • The Korean Journal of Food & Health Convergence
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    • v.5 no.6
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    • pp.17-21
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    • 2019
  • This article addresses issues related to environmental pollution.Particular attention is paid to the prevention of environmental pollution by livestock waste, which prompted the creation of closed ecological and biotechnical systems as environmentally closed production structures that can fit into the equilibrium system of the environment with minimal damage to it. An energy-saving and environmental protection technology for the processing and disposal of livestock waste with a maximum coefficient of energy transfer to livestock products has been developed, which consists in a combined treatment of waste in three stages, by transferring waste from one technological module to another, which makes it possible to completely utilize mineral substances in waste. The focus is on vermicultivation, microalgae cultivation and anaerobic fermentation in a bioenergy plant. To increase the productivity of growing microalgae, the authors proposed a deep type cultivator with submerged movable light sources.The technological parameters of the bioenergy installation for waste treatment are determined. An energy-saving and environmental-friendly technology has been developed for processing The main contribution of the study is the development of energy-saving and environmental technology for the processing and disposal of livestock waste with a maximum coefficient of energy transfer to livestock products.

A Ten-year Bibliometric Analysis of Research Trends in Three Leading Ecology Journals during 2003-2012

  • Saravanan, G.;Dominic, J.
    • Journal of Information Science Theory and Practice
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    • v.2 no.3
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    • pp.40-54
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    • 2014
  • This paper attempts to highlight quantitatively the growth and development of literature in the field of ecology in terms of publication output using the resource Web of Science$^{(R)}$. The focus of this analysis was to study the literature on ecology published in three journals, viz., Ecology Letters, Trends in Ecology & Evolution, and Annual Review of Ecology Evolution and Systematics. 2946 records were retrieved for 10 years (2003-2012). The study revealed that multiple authorship in the field with collaborations of two (30.31%) and three authors (19.89%) was dominant. The Degree of collaboration, Collaborative coefficient, and Collaborative index were calculated and the applicability of Lotka's law was tested. The study identified five-year patterns in research trends, using the three studied journals, to see if the subjects of focus changed within a decade. The most productive institution was University Calif. Davis, USA, followed by University Calif. Santa Barbara, USA, and University Queensland, Australia, and the most productive countries were the USA followed by UK and Canada.

Performance Analysis of Real-Time Kinematic GPS Positioning using Continuous Operating Reference Station

  • Lee In-Su;Lee Jae-One;An Sang-Jun
    • Spatial Information Research
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    • v.12 no.4 s.31
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    • pp.371-382
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    • 2004
  • Continuously Operating Reference Stations (CORS) provides GPS measurements to support high accuracy CPS positioning. The CORS improves GPS positioning productivity by eliminating the requirement for GPS users to operate two receivers. Previously, this is achieved by providing data from CORS to users in post-mission mode. However, the efficiency of the CORS will be maximized by upgrading it in real-time operation using RTK-GPS surveying because users can obtain centimeter-level accuracy in real-time without operating their own reference stations. In this research, authors extracted the arbitrary point's coordinate which is using GPS CORS data, now served in RINEX FORMAT via Internet, with observation network of the existing triangulation and GPS CORS data. And then, RTK GPS was performed with this arbitrary point as reference station.

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Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

  • Shao, Xiaorui;Kim, Chang Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2993-3010
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    • 2021
  • The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

How to Enhance an Employee's Organizational Citizenship Behavior (OCB) as a Corporate Strategy

  • KANG, Eungoo;HWANG, Hee-Joong
    • The Journal of Industrial Distribution & Business
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    • v.14 no.1
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    • pp.29-37
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    • 2023
  • Purpose: This study is to explore how to enhance an organizational citizenship behavior (OCB) for private companies, boosting their employees; performance. With OCB in place, businesses won't have to worry about employees engaging in harmful or counterproductive actions. Better coordination will benefit employees' skill sets and the company's overall performance. Research design, data and methodology: We used a data extraction form and present it as an appendix. These forms could demonstrate to the reader what the present authors looked for and how they found it. We also investigated to obtain text datasets whether any extractions were carried out in duplicate, and, if so, whether duplicate abstraction was carried out independently. Results: There are four solutions to boost employees' OCB for HR practitioners: 'Creating an Environment that Supports Constructive OCB', 'Encouraging Productive Behavior in the Workplace and Reward properly, 'Integrating Corporate Citizenship into Performance Evaluations', and 'Training to Use OCB and Educating on its Benefits'. Conclusions: Based on the research findings of the current study, this study strongly concludes that OCB should be encouraged, and employers and employees should collaborate on efforts to boost morale and increase productivity. As a direct result of their efforts, their firms enjoy improved earnings while experiencing reduced overhead costs.

The Current State and Future Directions of Industrial Robotic Arms in Modular Construction

  • Song, Seung Ho;Choi, Jin Ouk;Lee, Seungtaek
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.336-343
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    • 2022
  • Industrial robotic arms are widely adopted in numerous industries for manufacturing automation under factory settings, which eliminates the limitations of manual labor and provides significant productivity and quality benefits. The U.S. modular construction industry, despite having similar controlled factory environments, still heavily relies on manual labor. Thus, this study investigates the U.S., Canada, and Europe-based leading modular construction companies and research labs implementing industrial robotic arms for manufacturing automation. The investigation mainly considered the current research scope, industry state, and constraints, as well as identifying the types and specifications of the robotic arms in use. First, the study investigated well-recognized modular building associations, the Modular Building Institute (MBI), and renowned architecture design magazine, Dezeen to gather industry updates. The authors discovered one university lab and a few companies that adopted Switzerland-based robotic arms, ABB. Researching ABB robotics led to the discovery of ABB's competitor, Germany-based KUKA robotic arms. Consequently, research extended to the companies and labs adopting KUKA models. In total, this study has identified seven modular companies and four research labs. All companies employed robotic arms and gantry robot combinations in a production-line-like system for partial automation, and some adopted design standardization for optimization. The common goal among the labs was to achieve greater flexibility and full automation with robotic arms. This study will help companies better implement robotic arm automation by providing recommendations from investigating its current industry status.

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