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Automated Essay Scoring Using Recurrence over BERT (RoBERT)
Ingu Lee,Hosung Nam 한국응용언어학회 2021 응용 언어학 Vol.37 No.3
This study aimed to build a system that could automate students" English essay evaluation by using Recurrence over BERT (RoBERT), a state-of-the-art deep learning model. English essay evaluation is inherently time-consuming. It may reflect teacher bias. English teachers are usually burdened with the task of evaluating many essays in a short period of time. Automated essay scoring (AES) can solve these problems. It has the advantage of being able to evaluate essays in a short time and without bias. In this paper, the RoBERT model was trained and evaluated on Essay Set #8 of the Automated Student Assessment Prize (ASAP) dataset. The 5-fold cross validation evaluation method was used for fair comparison with the previously suggested AES models. As a result, the RoBERT model showed the highest agreement with the human raters’ resolved scores in 5 out of 6 trait scores than the previous evaluation models. The advantage of it is that it can use the pre-trained BERT model and deal with long inputs, overcoming the input size limit of the BERT model. It was confirmed that the RoBERT model works well for trait-specific evaluation of long essays. Thus, the RoBERT model can be used as an auxiliary means to automate the evaluation of students" essays and reduce the excessive work of English teachers.
Active Tremor Cancellation of Handheld Microsurgical Robots
Ingu Choi(최인구),Eunchan Kim(김은찬),Sungwook Yang(양성욱) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Physiological hand tremor may cause irrecoverable damage to lesion during microsurgery. Robot-aided microsurgery can address this problem as suppressing hand tremor and stabilizing surgical instruments. Active tremor cancellation of microsurgical robots is to deliver voluntary motion to the surgical instrument while suppressing undesired hand motion, such as hand tremor. In this study, we evaluate the performance of active tremor cancellation in a handheld type of microsurgical robots. For active tremor cancellation, a motion filter for the tool tip is designed as a second-order Butterworth lowpass filter with a cutoff frequency of 2 Hz with minimal latency, which attenuates magnitudes.
국제앰네스티 인권운동과 1970년대 한국의 초국가적 민주화
황인구(Ingu Hwang) 역사비평사 2023 역사비평 Vol.- No.143
This article examines the intersection between Amnesty International(AI)’s global human rights expansion policy and South Korea’s pro-democracy movements in the 1970s. It argues that local pro-democracy actors vernacularized and mobilized AI’s concept of and global campaign for prisoners of conscience, thereby transforming their struggle into a transnational movement. In making this argument, the article highlights a multi-directional conflict over the meaning and uses of human rights between local and international actors. Against the backdrop of seeking to establish a local chapter of AI, pro-democracy actors challenged AI’s political neutrality policy by advocating for South Korean political prisoners as well as for prisoners in other countries; they also challenged the distinction that AI drew between political prisoners and prisoners of conscience. Finding the UN unresponsive to their appeals and recognizing the role of US Cold War policy in buttressing Park Chunghee’s authoritative regime, South Korean pro-democracy actors, acting in concert with liberal internationalists in the US Congress, shifted the primary stage for addressing international human rights abuses from the United Nations to the US Congress. This shift placed the spotlight on US foreign policies that facilitated the South Korean government’s human rights abuses, which in turn led both the US and South Korean government to devise counteractive human rights campaigns that drew on humanitarian and anti-communist rhetoric to preserve the status quo.
Kang, Ingu,Bang, Hyo-Jeong,Kim, In-Hwan,Choi, Hee-Don,Kim, Byung Hee Elsevier 2015 FOOD SCIENCE AND TECHNOLOGY -ZURICH- Vol.62 No.1
<P><B>Abstract</B></P> <P>This study aimed to synthesize <I>trans</I>-10,<I>cis</I>-12 conjugated linoleic acid (<I>t</I>10,<I>c</I>12-CLA)-enriched triacylglycerols (TAGs) with potential anti-obesity effects via a two-step lipase-catalyzed reaction. Commercial CLA isomer mixtures, containing 33.3?g/100?g <I>t</I>10,<I>c</I>12-CLA, were esterified with dodecan-1-ol to selectively enrich the <I>t</I>10,<I>c</I>12-CLA in a free fatty acid (FFA) fraction. The reaction was performed in a recirculating packed bed reactor using <I>Candida rugosa</I> lipase (immobilized on Immobead 150) as the biocatalyst. An FFA fraction containing 54.7?g/100?g <I>t</I>10,<I>c</I>12-CLA was produced in a yield of 21.8?g/100?g initial <I>t</I>10,<I>c</I>12-CLA under the optimal conditions, i.e., temperature, 20?°C; CLA mixtures-to-dodecan-1-ol molar ratio, 1:1; water content, zero (no added water); reaction time, 36?h. A <I>t</I>10,<I>c</I>12-CLA-enriched FFA fraction was esterified with glycerol to prepare <I>t</I>10,<I>c</I>12-CLA-enriched TAGs. The reaction was performed in a stirred batch reactor using <I>Candida antarctica</I> lipase B (immobilized on macroporous acrylic resin) as the biocatalyst. The optimal combination of temperature, glycerol-to-FFA fraction molar ratio, enzyme loading, reaction time, and vacuum level was 60?°C, 1:3, 10?g/100?g (based on total substrates), 12?h, and 0.4?kPa, respectively. Under these conditions, the TAG content reached 93.7?g/100?g and <I>t</I>10,<I>c</I>12-CLA was evenly distributed throughout the glycerol backbone of the TAG.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>t</I>10,<I>c</I>12-CLA enrichment was performed in a recirculating packed bed reactor. </LI> <LI> <I>t</I>10,<I>c</I>12-CLA enrichment was achieved via <I>C.?rugosa</I> lipase-catalyzed esterification. </LI> <LI> The yield of <I>t</I>10,<I>c</I>12-CLA was 21.8?g/100?g initial <I>t</I>10,<I>c</I>12-CLA. </LI> <LI> No added water is needed for the <I>C.?rugosa</I> lipase-catalyzed esterification. </LI> <LI> <I>t</I>10,<I>c</I>12-CLA-enriched TAGs was synthesized via Novozym 435-catalyzed esterification. </LI> </UL> </P>