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Baskoro Dwi Nugroho Adji,Choi Peter,Pervitasari Aditya Nurmalita,한나래,Kim Jongkee,Kim Dong-Hwan 한국원예학회 2024 Horticulture, Environment, and Biotechnology Vol.65 No.2
The production of double haploids (“DH”) by microspore-derived embryos is one of the best breeding methods to generate new varieties with better traits and stable genetic background. In the previous study, radish ‘DH’ lines were generated with a diff erent range of glucosinolate (GSL) contents, ranging from low to high levels of GSL. In this study, we performed metabolic and transcriptional profi ling to elucidate the regulatory system behind the GSL biosynthesis process using the ‘DH’ radish lines. Four individual ‘DH’ lines were selected, of which two lines named ‘HH’ had high GSL content, while the other two lines, ‘LL’, had low GSL content. HPLC analysis in the vegetative (leaf and root) and reproductive tissue (seed) was detected seven GSL compounds from radish. Among seven GSLs, glucoraphasatin (GRH) occupied the largest proportion of total GSLs in both leaf and root tissues, while glucoraphenin (GRE) was taking a place as the major GSL in radish seeds. Six major genes ( RsBCAT4, RsIPMDH1, RsCYP79F1, RsCYP83A1, RsUGT74B1 , and RsGRS1 ) represent ing the major biosynthesis of aliphatic GSLs were selected for qRT-PCR analysis. Heat map analysis based on Pearson correlation coeffi cient showed that RsBCAT4, RsIPMDH1, RsCYP79F1 , and RsCYP83A1 were positively correlated with the amount of GRH in leaf tissue. Meanwhile, RsGRS1 showed a strong correlation with the amount of GRH and total aliphatic GSLs in both leaf and root tissues. By using the ‘DH’ radish lines, this study revealed that regardless of tissues of radish, accumulation of total GSL is strongly aff ected by the RsGRS1 and also positively supported by the other bio synthetic genes like RsBCAT4, RsIPMDH1, RsCYP79F1 , and RsCYP83A1 .
Current condition of municipal landfill site in Semarang city, Indonesia
( Baskoro Lokahita ),( Fumitake Takahashi ) 한국폐기물자원순환학회(구 한국폐기물학회) 2017 한국폐기물자원순환학회 심포지움 Vol.2017 No.1
The responsibility of municipal waste management in Indonesia fall under each local municipality in the region. Each municipality has their landfill sites and the particular agency to manage it. Since the enactment of Act no. 18 about waste management in 2008, each city required to operate their disposal site under sanitary landfill standard. Only several cities were able to maintain sanitary and controlled landfill operation while most of the city are still doing open dumping activities. It causes environmental pollutions around dumping sites and one of social and environmental problems there. Semarang City is one of the big cities in Indonesia. It is the capital of Central Java Province and hosts about 1.5 million people. Every day the cities generate about 800 tons of waste, and all of them were dumped in the city landfill, 13 km away from downtown area. The landfill, Jatibarang Landfill, was located on the west side of Semarang City in a mountainous area, surrounded by forest. It has been operated since May 1992 and has a total area of 46 ha. The landfill site was equipped with fertilizer factory which produces 250 ton of granule fertilizer per day. The leachate generated from the landfill was collected and treated in the leachate pond before discharged to Kreo River. The surrounding forest was conserved and used as a buffer zone to protect the residential area. In the south border of the landfill site, a river was flowing from the city’s water intake. At 1.5 km downstream to the south,there is the lake that used for drinking water source by local drinking water company. About 350 scavengers residing in the surrounding area work in Jatibarang Landfill. They collect recyclable wastes and do some pretreatment before sending them to recycling factory. Some of them also raise cattle and grazing their cattle in dumping site. The total of livestock population was around 1300. The presences of the landfill site may contaminate air, water, land and living organism in the surrounding area if not manage correctly. In the case of Jatibarang Landfill, the management has not applied sanitary landfill procedure in daily operational. Land cover was not spread every day cause a leakage of methane gas into the atmosphere. The leachate is hard to control and potentially harm the river nearby. The toxic material might also contaminate the cattle grazing in the landfill from consuming organic material from waste. Further research to find proper site management and waste treatment for this landfill is necessary. Landfill mining is one of available option to open some non-active zone for material recovery or energy generation.
Mean-Shift Object Tracking with Discrete and Real AdaBoost Techniques
Hendro Baskoro,Jun-Seong Kim,김창수 한국전자통신연구원 2009 ETRI Journal Vol.31 No.3
An online mean-shift object tracking algorithm, which consists of a learning stage and an estimation stage, is proposed in this work. The learning stage selects the features for tracking, and the estimation stage composes a likelihood image and applies the mean shift algorithm to it to track an object. The tracking performance depends on the quality of the likelihood image. We propose two schemes to generate and integrate likelihood images: one based on the discrete AdaBoost (DAB) and the other based on the real AdaBoost (RAB). The DAB scheme uses tuned feature values, whereas RAB estimates class probabilities, to select the features and generate the likelihood images. Experiment results show that the proposed algorithm provides more accurate and reliable tracking results than the conventional mean shift tracking algorithms.
Combined Heuristics for Post-Processing of Boosting-Based Single-Face Detection System
Hendro Baskoro,Chang-Su Kim 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
We present a novel post-processing approach to reduce false positives while preserving the detection rate in a boosting-based single-face detection system. First, we develop several simple yet effective criteria to detect valid groups of multiple detections. Second, we combine those criteria using the majority vote scheme. Simulation results show that the proposed algorithm provides promising performances.