• Journal of the Korea Fashion and Costume Design Association
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• v.7 no.3
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• pp.83-94
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• 2005

This paper is to analyze patterns for Indonesian traditional textiles. Ikat is the resist-dyeing process in which designs are reserved in warp or weft yams by tying off small bundles of threads with fiber resists to prevent the penetration of dye. Batik is the technique applying a wax resist before dyeing to form a pattern in negative. Ikat and batik are the most renowned textile arts of Indonesia. Patterns are classified as geometric pattern, plant pattern, animal pattern. Also this paper discusses the origins of ikat and batik. Therefore this Paper proposes the classification and feature extraction of ikat and batik patterns. The results of this study can be effectively applied to develop competitive pattern design for Indonesian textile market.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.344-344
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• 2017

Cisangkuy 유역은 인도네시아 제3의 도시인 반둥시의 주요한 식수공급원으로 반둥시 남측에 위치하며, Citarum 강의 제1지류에 해당한다. Cisangkuy 유역은 복잡한 수계 및 다양한 관리주체로 인해 수자원 운영에 많은 어려움이 있다. 반둥의 연간 강우량은 2,380 mm로 강우량은 풍족하나, 강우패턴이 건기(4~9월)와 우기(10~3월)로 구분되어 기간별 극심한 강우량 차이가 발생한다. Cisangkuy 유역은 우기에 Cileunca 및 Cipanunjang 저수지에 최대한 유량을 확보한 후 건기에 유량을 방류하는 시스템으로 운영되고 있다. 특히, 이 두 저수지는 전력회사인 인도네시아 파워에서 관리하고 있으며, 저수지 하류에 3개의 소수력 발전소(Plengan, Lamajan, Cikalong)가 운영되고 있다. Cisangkuy 주 하천 수량의 대부분이 소수력 발전소의 발전용수로 활용하고 있고, 세 발전소를 거친 최종 수량의 일부를 취수장에서 취수하여 식수원으로 사용하고 있기 때문에 상수 수급에 많은 어려움을 겪고 있으며, 우기시 가뭄발생 현상이 잦아지고 있다. 이에 본 연구에서는 Cisangkuy 유역의 장기적인 가뭄으로 인한 유출량 감소에 따른 용수 용도별 공급가능 일수 및 운영안을 검토하였다. 이를 위해 MODSIM 모형을 이용하여 현재 용수공급 체계를 물수지 분석 모형으로 구축하고, 현재 물공급 운영체계에 대해 모형을 검증한 후, 우기인 12월~3월에 대해 가뭄발생을 고려한 물공급 가능일 수를 산정하였으며, 강우 미발생을 고려하여 유역의 유출량을 배제하고, 발전유량 및 생활용수를 우선순위로 적용하였을 때, 공급 가능일수와 관개용수 공급에 따른 가능일수를 검토하였다. 금회 Cisangkuy 유역에 대한 가뭄발생에 따른 용수공급 가능량에 대한 연구결과는 유역 물관리 기관인 BBWSC(Balai Besar Wilayah Sungal or Association of River Region)와 공동연구기관인 PUSAIR가 가뭄극복을 위한 자료로 활용할 수 있을 것으로 예상된다.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.81-91
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• 2011

Hacking tools are evolving along the growth of on-line game industry. Those tools allow users with no programming knowledge to hack the game, which causes a lot of problems in on-line game services. Specifically, FPS games based on peer-to-peer networks are vulnerable to hacks. This paper analyzes cheating patterns by the case of Point Blank in Indonesia and prioritize countermeasures, which helps game companies handle hacks efficiently.

• Journal of the Korean Society of Costume
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• v.66 no.7
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• pp.34-49
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• 2016

The ancient 'sacred cloths' of Indonesia have diverse characteristics. The purpose of this study is to analyze the characteristics of ancient Indonesian textiles, focusing on 'sacred cloths.' The research is divided into two parts. The first part analyzes the creation period, religious importance, region where the cloths are found, and color of the 'sacred cloths.' The second part focuses on the textile-making techniques and the ritual patterns of the 'sacred cloths.' This research is the second paper. This research analyzes 225 Indonesian sacred cloth examples chosen for their religious function in ceremony, and reviews 10 books and 8 research papers. Field research was done in the Museum of Bali, the Indonesian Museum of Textiles, and nine weaving production houses in eastern Bali. Indonesian sacred cloths express their cultural philosophy and function through production techniques, colors, techniques, and visual patterns. The 'sacred cloth'-making techniques are classified as Batik, Prada, and Ikat. The regions that contribute to the textile production determine what patterns show up on the cloths. Sumatran patterns are philosophical, lavish, and prestigious. Bornean patterns are barbaric and prestigious. Balinese patterns are complex, decorative, warm, festive, calm, and aristocratic. Javanese patterns are symbolic and repetitive. Celebes patterns are artistic and simple. Nusa Tenggara patterns are symbolic and narrative. The forms shown on the textiles, whether geometric, human and animal, natural objects, or abstract patterns, determine how to classify the varied patterns. As a result, ancient Indonesian sacred cloths characteristics portray Indonesian identity as Bhinneka Tunggal Ika(Unity in Diversity).

• Food Science and Preservation
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• v.22 no.5
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• pp.690-698
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• 2015

Effects of roasting on physical (weight, volume, density and color) and chemical properties (total phenol, caffeine, chlorogenic acid and antioxidant properties) of three Arabica coffee beans (Brazil Bourbon, Indonesia Mandheling and Kenya Tatu) were investigated. A steady weight loss, volume increase, and bean density decrease were observed during the roasting process. The $L^*$, $a^*$, and $b^*$ values tended to decrease as the roasting temperature and time increased. Caffeine level was approximately 0.73% in green beans, and increased to 40-67% for darker roasts. Green beans contained the highest chlorogenic acid content, which decreased as the roasting temperature and time increased. The light- and medium-roasted coffee showed the highest total phenolol contents. The antioxidant activities were measured using DPPH and ABTS. The light-roasted coffee beans showed the highest antioxidant activities, and an approximately 36-51% loss in antioxidant activity was observed after further roasting. The flavor patterns of roasted coffee beans were analyzed using an electronic nose system based on gas chromatography. This analysis demonstrated that an electronic nose system can be applied to identify the green bean variety and the degree of roasting.

• Tunnel and Underground Space
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• v.18 no.6
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• pp.418-426
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• 2008

A surface blasting method with a single tree face is currently used in Pasir Coal Mine in Indonesia. The single free face is usually the ground surface. This kind of blasting method is easy to use but inevitably causes enormous ground vibrations, which, in turn, can affect the stability of the slopes comprising the various boundaries of the open pit mine. In this regard, we decided to make a specific blasting guideline for the control of found vibrations to ensure the safety of the pit slopes and waste dumps of the mine. Firstly, we derived a prediction equation for the ground vibration levels that could be occurred during blasting in the pits. Then, we set the allowable levels of ground vibrations for the pit slopes and waste dumps as peak particle velocities of 120mm/s and 60mm/s, respectively. From the prediction equation and allowable levels, safe scaled distances were established for field use. The blast design equations for the pit slopes and waste dumps were $D_s{\geq}5\;and\;D_S{\geq}10$ respectively. We also provide several standard blasting patterns for the hole depths of $3.3{sim}8.8m$.

• Journal of Korea Water Resources Association
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• v.51 no.6
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• pp.481-490
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• 2018

Recently, the spatiotemporal patterns of flood disasters have become more complex and unpredictable due to climate change. Flood hazard map including information on flood risk level has been widely used as an unstructured measure against flooding damages. In order to product a high-precision flood hazard map by combination of hydrologic and hydraulic modeling, huge digital information such as topography, geology, climate, landuse and various database related to social economic are required. However, in some areas, especially in developing countries, flood hazard mapping is difficult or impossible and its accuracy is insufficient because such data is lacking or inaccessible. Therefore, this study suggests a method to delineate large scale flood-prone area based on topographic factors produced by linear binary classifier and ROC (Receiver Operation Characteristics) using globally-available geographic data such as ASTER or SRTM. We applied the proposed methodology to five different countries: North Korea Bangladesh, Indonesia, Thailand and Myanmar. The results show that model performances on flood area detection ranges from 38% (Bangladesh) to 78% (Thailand). The flood-prone area detection based on the topographical factors has a great advantage in order to easily distinguish the large-scale inundation-potent area using only digital elevation model (DEM) for ungauged watersheds.

• Journal of Practical Agriculture & Fisheries Research
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• v.3 no.1
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• pp.48-69
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• 2001

A lot of clones of the genus Dioscorea have been introduced from some tropical and subtropical regions since 1997. In 33 clones of water yams (Dioscorea alata L.), some morphological characteristics were investigated at the field. Variation ranges of the total weight and tuber number per stump were within the ranges from 90 to 2,147 g with an average of 610 g ; and 1.3-4.7 with an average of 2.8, respectively. The color tones observed on the tuber-flesh were sorted into 3 color-categories, i.e., white, pale brown and pale purple, and those on leaves were sorted into 3 color-categories, i.e., green, heavy green and purplish green. Intraspecific genetic relationship of 19 variation types of the Yam classified by their external morphological characteristics such as leaf and tuber shape was assessed by DNA using random and specific primers. Twenty two out of 113 primers (100 random[10-mer] primers, two 15 mer [M13 core sequence, and (GGAT)4 sequence]) had been used in PCR-amplification. Only 12 primers, however, were successful in DNA amplification in all of the analyzed plants, resulting in 93 randomly and specifically amplified DNA fragments. The analyzed taxa showed very high polymorphisms(69 bands, 71.0%), allowing individual taxon to be identified based on DNA fingerprinting. Monomorphic bands among total amplified DNA bands of each primer was low under the 50%. Similarity indices between accessions were computed from PCR(polymerase chain reaction) data, and genetic relationships among intraspecific variations were closely related at the levels ranging from 0.66 to 0.90.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.457-468
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• 2020

Problems arising during pile design works for plant construction, civil and architecture work are mostly come from uncertainty of geotechnical characteristics. In particular, obtaining the N-value measured through the Standard Penetration Test (SPT) is the most important data. However, it is difficult to obtain N-value by drilling investigation throughout the all target area. There are many constraints such as licensing, time, cost, equipment access and residential complaints etc. it is impossible to obtain geotechnical characteristics through drilling investigation within a short bidding period in overseas. The geotechnical characteristics at non-drilling investigation points are usually determined by the engineer's empirical judgment, which can leads to errors in pile design and quantity calculation causing construction delay and cost increase. It would be possible to overcome this problem if N-value could be predicted at the non-drilling investigation points using limited minimum drilling investigation data. This study was conducted to predicted the N-value using an Artificial Neural Network (ANN) which one of the Artificial intelligence (AI) method. An Artificial Neural Network treats a limited amount of geotechnical characteristics as a biological logic process, providing more reliable results for input variables. The purpose of this study is to predict N-value at the non-drilling investigation points through patterns which is studied by multi-layer perceptron and error back-propagation algorithms using the minimum geotechnical data. It has been reviewed the reliability of the values that predicted by AI method compared to the measured values, and we were able to confirm the high reliability as a result. To solving geotechnical uncertainty, we will perform sensitivity analysis of input variables to increase learning effect in next steps and it may need some technical update of program. We hope that our study will be helpful to design works in the future.