• Journal of Electrical Engineering and Technology
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• 제9권6호
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• pp.2162-2167
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• 2014

Robots are widely used in various automation processes in industrial applications. Traditionally, it operated under fixed condition by teaching operating positions. Recently, diverse 2D/3D sensors are used together with robot to give more flexibility in operation. In this paper, we deal with automatic manipulation of tie rod in automotive production line. Sensor system consisted of a camera and slit laser is used for the acquisition of 3D information and it is used attached on the robot. Nut runner is used for the manipulation of stop nut and adjust bolt on the tie rod. Detailed procedures for the automatic manipulation of tie rod are presented. In the presented approach, we effectively use 3D information in whole procedure such as computing distance to the tie rod, rotation angle of bolt and nut. Experimental results show the feasibility of the proposed algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1825-1844
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• 2019

Political campaigns circulate manipulative opinions in online communities to implant false beliefs and eventually win elections. Not only is this type of manipulation unfair, it also has long-lasting negative impacts on people's lives. Existing tools detect political manipulation based on a supervised classifier, which is accurate when trained with large labeled data. However, preparing this data becomes an excessive burden and must be repeated often to reflect changing manipulation tactics. We propose a practical detection system that requires moderate groundwork to achieve a sufficient level of accuracy. The proposed system groups opinions with similar properties into clusters, and then labels a few opinions from each cluster to build a classifier. It also models each opinion with features deduced from raw data with no additional processing. To validate the system, we collected over a million opinions during three nation-wide campaigns in South Korea. The system reduced groundwork from 200K to nearly 200 labeling tasks, and correctly identified over 90% of manipulative opinions. The system also effectively identified transitions in manipulative tactics over time. We suggest that online communities perform periodic audits using the proposed system to highlight manipulative opinions and emerging tactics.

• 정보교육학회논문지
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• 제20권6호
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• pp.629-644
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• 2016

본 연구는 웹기반 복합적 과제에서 전체과제 계열화 방법이 전문성 향상에 미치는 영향을 규명하는 것을 목적으로 한다. 이를 위해 전체과제 계열화 방법을 단순 제시, 눈덩이 강조변화, 전체 강조변화로 구별하였으며, 93명의 대학생이 실험에 참가하였다. 연구결과에 따르면, 인지부하에서 전체과제 계열화 방법 간 유의한 차이가 나타났지만, 사후검정 결과 단순 제시 집단과 눈덩이 강조변화 집단 간에는 유의한 차이가 나타나지 않았다. 이에 따라 복합적 과제는 실제의 과제를 다루어 각 요소들의 높은 상호작용성을 가지고 있지만 부분을 강조하되 전체를 함께 조망할 수 있는 눈덩이 강조변화 방식의 제공은 학습자의 메타인지를 지원해줄 수 있어 인지과부하를 일으키지 않는다는 것을 확인할 수 있었다. 학습전이를 살펴본 결과 전체과제 계열화 방법에 따라 집단 간 유의한 차이가 나타났다. 이는 전체과제 계열화를 사용할지라도 그 안에서 전체과제 계열화의 단점인 연습부족을 보완하기 위해 눈덩이 강조변화 방식을 통해 계열화 하였을 때 복합적 과제에 대한 이해도를 높여 실제 문제해결 과제에서 질 높은 결과물을 구성하여 초보자의 전문성을 향상 시킬 수 있음을 시사했다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2731-2736
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• 2003

In highly informative, perception-rich environments that we call Omniscient Spaces, robots interact with physical objects which in turn afford robots the information showing how the objects should be manipulated. Object manipulation is commonly believed one of the most basic tasks in robot applications. However, no approaches including visual servoing seem satisfactory in unstructured environments such as our everyday life. Thus, in Omniscient Spaces, the features of the environments embed themselves in every entity, allowing robots to easily identify and manipulate unknown objects. To achieve this end, we propose a new paradigm of the interaction through Radio Frequency Identification (RFID). The aim of this paper is to learn about RFID and investigate how it works in object manipulation. Specifically, as an innovative trial for autonomous, real-time manipulation, a likely mobile robot equipped with an RFID system is developed. Details on the experiments are described together with some preliminary results.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.707-715
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• 2021

This article examines the potential impact of the Covid-19 Lockdown on earnings manipulation and stock market sensitivity to earnings announcements. It also explores the effects of earnings manipulation after the COVID-19 outbreak on the share price sensitivity to the earnings disclosures. The study uses a quantitative method to analyze the financial data consisting of 87 firms listed on the Iraq Stock Exchange for the period from 2018 to 2020, which constitutes a total of (174 observations). We used Ohlson (1995) model to estimate financial market reaction and sensitivity to earnings manipulation fluctuations and accounting information. The results show that companies practice earnings manipulation to maintain earnings over a time series, which means a negative impact of earnings manipulation on all earnings measures' value relevance (EPS, BVS, and CFS). Accordingly, earnings manipulation negatively influences investor behavior in the financial market, based mainly on financial reporting. The value relevance of financial reports has also decreased because of the COVID-19 outbreak and related economic Lockdown. These results reflect a long-term adverse impact of earnings manipulation on investor behavior and financial statements reliability.

• 산학경영연구
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• 제18권1호
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• pp.19-41
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• 2005

회계정보의 유용성은 기본적으로 정보이용자들의 의사결정에 어느 정도 도움을 줄 수 있는가에 의하여 평가될 수 있는데, 회계정보의 유용성에 대한 하나의 측정치로서 투자자에 대한 회계이익의 정보효과를 이용할 수 있을 것이다. 기업의 소유구조는 기업이 회계이익을 결정하는 과정과 외부 투자자들이 기업관련 정보를 이용하는 문제와 밀접한 관련이 있다. 실제로 기업의 소유구조가 어떠한 형태를 갖고 있느냐에 따라 기업에서 적용하는 회계정책이 달라지고 투자자들이 회계정보 외의 기업관련 정보를 이용함에 있어서도 그 내용이나 접근가능성에 차이가 있다. 따라서 기업의 소유구조는 궁극적으로 회계이익의 정보효과에 영향을 주는 것으로 볼 수 있다. 본 연구에서는 기업의 소유구조를 경영자 또는 내부 지분율이 높은 기업, 기관투자자와 비지배대주주의 지분율이 높은 기업 및 지분분산이 광범위하게 잘 이루어진 기업 등 크게 3 가지로 분류하여 각각의 소유구조가 회계이익과 주가이익률과의 관계에 미치는 영향을 이론적으로 고찰하였다. 이익조작가설은 소유와 경영이 분리된 기업들이 일반적으로 이익을 조작하려는 경향이 있다고 주장한다. 한편 차별적정보가설은 회계정보에 대한 대체적인 정보의 양 및 적시성과 관련이 있다. 소유구조가 주가와 이익과의 관계에 미치는 영향을 분석함에 있어 이익조작가설에 바탕을 둔 기존 연구들은 소유구조와 정보환경과의 관계를 고려하지 않았지만 본 연구는 차별적 정보가설을 함께 고려하여 추가적인 검토를 하였다.

• 인터넷정보학회논문지
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• 제25권1호
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• pp.9-15
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• 2024

가상현실 기술의 대중화에 따라 가상환경과 사용자 간의 자연스럽고 효율적인 상호작용에 대한 수요가 높아지고 있다. 이러한 수요에 대응하는 솔루션 중 하나인 공중 조작(mid-air manipulation)은 사용자가 객체와 접촉하지 않은 상태에서 3차원 공간의 가상객체를 조작할 수 있도록 한다. 본 논문에서는 시각적으로 객체를 표현하고 객체의 무게에 대한 촉감 정보를 제공하면서 원격의 가상객체를 조작하는 데 초점을 맞췄다. 본 연구진은 사용자 손끝에 가상객체 무게에 대한 촉감 또는 진동 촉감 피드백을 제공할 수 있는 두 가지 유형의 착용 가능한 인터페이스를 개발했다. 가상객체 조작 중에 원격 객체 무게에 대한 지각을 평가하기 위해 인지 실험을 수행했다. 실험 결과는 촉감 정보 전달이 원격 가상객체 조작 중 무게 인지에 유의한 영향을 미친다는 것을 나타낸다.

• 한국의류산업학회지
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• 제1권4호
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• pp.393-396
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• 1999

The purpose of this study was to suggest the knowledge and scientific information of the damage and improvement according to hair coloring manipulation. The study investigated variations of mechanical, nourishment(amino acid cystine) shape of cuticle characteristics according to hair coloring during 40, 50 minute. The results were as follows; Tensile strength was decreased variations of 6.62%, 13.68%, extension rate was increased variations of 10.58%, 12.28%, thickness was increased variations of 9.15%, 15.64% in 40 min. and 50 min. hair coloring. Content of amino acid cystine was lowered variations of 23.00%, 30.49% according to time of manipulation. A shape of cuticles was disfigured and brocken by reason of hair coloring manipulation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1671-1686
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• 2022

Face manipulation tools represented by Deepfake have threatened the security of people's biological identity information. Particularly, manipulation tools with deep learning technology have brought great challenges to Deepfake detection. There are many solutions for Deepfake detection based on traditional machine learning and advanced deep learning. However, those solutions of detectors almost have problems of poor performance when evaluated on different quality datasets. In this paper, for the sake of making high-quality Deepfake datasets, we provide a preprocessing method based on the image pixel matrix feature to eliminate similar images and the residual channel attention network (RCAN) to resize the scale of images. Significantly, we also describe a Deepfake detector named Cascaded-Hop which is based on the PixelHop++ system and the successive subspace learning (SSL) model. By feeding the preprocessed datasets, Cascaded-Hop achieves a good classification result on different manipulation types and multiple quality datasets. According to the experiment on FaceForensics++ and Celeb-DF, the AUC (area under curve) results of our proposed methods are comparable to the state-of-the-art models.

• Journal of Acupuncture Research
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• 제33권3호
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• pp.129-144
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• 2016

Objectives : This study aims to review the actual use of acupuncture manipulation in clinical trials and to discuss the directions of studies, to be conducted in the future. Methods : Through five search engines, clinical trial papers were collected, which had involved the use of acupuncture treatment since 2001 when STRICTA was published. The selected papers were classified based on whether acupuncture manipulation and De-Qi were stated. The comparison status of domestic and foreign, status by year, target diseases, and therapeutic interventions were also investigated. Results : 54 % domestic and 69 % foreign papers mentioned acupuncture manipulation or De-Qi. Among them, acupuncture manipulation was used in 40 % domestic and 53 % foreign papers. There was no significant difference around 2010 when the revised edition of STRICTA was published. The use of acupuncture manipulation was the highest in studies that targeted musculoskeletal disorders. Besides that, the use of acupuncture manipulation was higher in cases where acupuncture was used for therapeutic interventions than it was for basic manipulation or combination therapy. Conclusion : Compared to the importance of acupuncture manipulation and De-Qi, there was actually a smaller number of papers that clearly suggested information on acupuncture manipulation and De-Qi. The reason is considered to be a lack of studies to establish the mechanism and effectiveness of each acupuncture manipulation method and studies that objectified the amount of stimulation incurred by the acupuncture manipulation methods. It is necessary to properly utilize acupuncture manipulation by actively conducting these studies.