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한국 서·남해안 연안생태계의 염생식물군락과 염생식물상의 특성에 관한 연구
박지원(jiwon Park),김의주(Eui Joo Kim),이정민(jungmin Lee),김윤서(Yoonseo Kim),박여빈(Yeo Bin Park),박재훈(Jae-Hoon Park),김세희(Se Hee Kim),조경미(Kyung Mi Cho),최윤경(Yoon Kyung Choi ),서지현(Ji Hyun Seo),서주현(Joo Hyun Seo),유영한(Y 한국습지학회 2024 한국습지학회지 Vol.26 No.1
한국은 삼면이 바다로 되어 있어 염습지와 이에 인접한 해안사구가 발달되어 있다. 본 연구는 한국 서·남해안의 염습지와 사구에서 나타나는 염생식물의 군집과 식물상의 특성을 48개 지소의 571 식분에서 조사하고, 분석하여 연안 생태계의 특성을 밝히고자 시도하였다. 그 결과, 염습지에 분포하는 식물군락은 39개이었으며, 갈대군락의 분포면적이 가장 넓었고, 버들명아주군락이 가장좁았다. 나문재군락이 해안선으로부터 가장 근접하여 분포하였고, 해홍나물군락이 해양쪽으로 가장 멀리까지 분포하였다. 해안사구에 분포하는 식물군락은 29개이었으며, 갯그령군락의 분포면적이 가장 넓었고, 수송나물군락이 가장좁았고, 갯메꽃군락이 해안선으로부터 가장 근접하여 분포하였고, 해당화군락이 내륙쪽으로 가장 멀리까지 분포하였다. 염습지의 식물상은 6과 14속 17종 1변종 18분류군 이였으며(식물구계학적 점수; 16점), 해안사구는 11과 18속20종 1변종 21분류군(식물구계학적 점수; 34점)으로 해안사구가 염습지 보다 약간 높게 나타났다. 이러한 결과는 한국 서남해의 연안에서는 해안사구가 염습지보다 해수의 영향을 간접적으로 받기 때문에 염도에 약한 식물도 생육할수 있기 때문으로 해석된다. Korea is surrounded by the sea on three sides, salt marshes and coastal sand dunes adjacent to them are developed. This study attempted to reveal the characteristics of the coastal ecosystem by investigating and analyzing the characteristics of plant communities and flora of 571stands of 48 sites in the salt marshes and coastal sand dunes on the western and southern coasts of Korea..As a result, in the salt marshes, 39 vegetation units appeared, with Phragmites australis community having the widest area and Chenopodium virgatum community having the narrowest area. Suaeda glauca community was distributed closest to the coastline, while Suaeda maritima community extended the farthest seaward. In the coastal sand dunes, 29 vegetation units were distributed with Elymus mollis community having the widest area and Salsola komarovii community having the narrowest area. Calystegia soldanella community was showed closest to the coastline, while Rosa rugosa community extended the farthest landward. The flora of the salt marshes consisted of 6 families, 14 genera, 17 species, 1 variant, and 18 taxa (floristic regional indicator score; 16) and the coastal sand dunes consisted of 11 families, 18 genera, 20 species, 1 variant, and 21 taxa (floristic regional indicator score; 34) appeared slightly higher than that of salt marshes. This result is interpreted that halophyte that are sensitive to salinity can grow on the coast of the west-south coast of Korea because coastal sand dunes are more indirectly affected by sea than salt marshes.
Prediction Model for Screening Patients at Risk of Malnutrition after Gastric Cancer Surgery
Ji-Hyeon Park,Eunjung Kim,Eun-Mi Seol,Seong-Ho Kong,Do-Joong Park,Han-Kwang Yang,Jong-Ho Choi,Shin-Hoo Park,Hwi-Nyeong Choe,Meera Kweon,Jiwon Park,Yunhee Choi,Hyuk-Joon Lee 대한외과학회 2020 대한외과학회 학술대회 초록집 Vol.2020 No.11
Cutting-edge Piezo/Triboelectric-based Wearable Physical Sensor Platforms
Park, Jiwon,Shin, Joonchul,Hur, Sunghoon,Kang, Chong-Yun,Cho, Kyung-Hoon,Song, Hyun-Cheol The Korean Sensors Society 2022 센서학회지 Vol.31 No.5
With the recent widespread implementation of Internet of Things (IoT) technology driven by Industry 4.0, self-powered sensors for wearable and implantable systems are increasingly gaining attention. Piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs), which convert biomechanical energy into electrical energy, can be considered as efficient self-powered sensor platforms. These are energy harvesters that are used as low-power energy sources. However, they can also be used as sensors when an output signal is used to sense any mechanical stimuli. For sensors, collecting high-quality data is important. However, the accuracy of sensing for practical applications is equally important. This paper provides a brief review of the performance advanced by the materials and structures of the latest PENG/TENG-based wearable sensors and intelligent applications applied using artificial intelligence (AI)
Is the Store-and-Forward Delivery Still the Best in Ad Hoc Networks?
Park, Jiwon,Moh, Sangman Institute of Embedded Engineering of Korea 2013 대한임베디드공학회논문지 Vol.8 No.6
In multihop routed ad hoc networks, the conventional store-and-forward delivery has been used. However, we may ask a question: "Is the store-and-forward delivery still the best?" This paper presents a pipeline-through MAC (PT-MAC) protocol for ad hoc networks, in which nodes have two 3-channel interfaces in order to use limited radio resources efficiently and improve network performance. The proposed protocol reduces end-to-end delay significantly in multihop routed transmission by exploiting a novel pipeline-through technique rather than using the conventional store-and-forward. This results in improved network performance without increasing control overhead. Our extensive performance study shows that the proposed PT-MAC shows 20-40 percent shorter end-to-end delay and 25-55 percent better goodput compared to the IEEE 802.11 DCF with two 3-channel interfaces.
설명 가능한 인공지능으로 해석한 Al-Sc-X 합금의 경도 예측 기계학습 모델과 역설계
Jiwon Park,Su-Hyeon Kim,Jisu Kim,Byung-joo Kim,Hyun-seok Cheon,Chang-Seok Oh 대한금속·재료학회 2023 대한금속·재료학회지 Vol.61 No.11
In this study, the Vickers hardness of precipitation-strengthened Al-Sc-X (X = Zr, Si, and Fe) alloys were predicted using machine learning models, depending on the alloys’ compositions, solid-solution treatment and aging conditions. The data used for machine learning were collected from the literature. Among the models, tree-based ensemble models such as extreme gradient boosting and random forest performed well. Then the feature impact on the model output was analyzed with SHarpely Additive eXplanation (SHAP). Based on the SHAP analysis and prior domain knowledge, the process conditions were restricted to narrow down the inverse design search space. Candidate alloys suggested by the optimization using a genetic algorithm showed improved hardness values. The hardness prediction model and the inverse designsuggested candidates were then experimentally validated. The accuracy of the hardness prediction model was 0.994, when the predicted hardness was 85.4 Hv, and the experimentally measured hardness was 84.9 Hv. A specimen whose composition was close to the inverse-designed alloy was cast and heat treated according to the suggested conditions. The inverse design showed an accuracy of 0.965. Exploring the entire combination of possible feature space requires vast effort and time. An efficient search for materials with improved properties can be achieved using an appropriate configuration of well-performing machine learning models and explainable AI techniques guided by domain knowledge.
Park, Miok,Park, Jiwon,Oh, Jae-Hyuk Springer-Verlag 2017 European Physical Journal C Vol.77 No.11
<P>Einstein-scalar-U(2) gauge field theory is considered in a spacetime characterized by alpha and z, which are the hyperscaling violation factor and the dynamical critical exponent, respectively. We consider a dual fluid system of such a gravity theory characterized by temperature T and chemical potential mu It turns out that there is a superfluid phase transition where a vector order parameter appears which breaks SO(3) global rotation symmetry of the dual fluid system when the chemical potential becomes a certain critical value. To study this system for arbitrary z and alpha, we first apply Sturm-Liouville theory and estimate the upper bounds of the critical values of the chemical potential. We also employ a numerical method in the ranges of 1 <= z <= 4 and 0 <= alpha <= 4 to check if the Sturm-Liouville method correctly estimates the critical values of the chemical potential. It turns out that the two methods are agreed within 10 percent error ranges. Finally, we compute free energy density of the dual fluid by using its gravity dual and check if the system shows phase transition at the critical values of the chemical potential mu(c) for the given parameter region of alpha and z. Interestingly, it is observed that the anisotropic phase is more favored than the isotropic phase for relatively small values of z and alpha. However, for large values of z and alpha, the anisotropic phase is not favored.</P>