Cumulative Dual Foreground Differences for Illegally Parked Vehicles Detection

Wahyono,Jo, Kang-Hyun IEEE 2017 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS - Vol.13 No.5

<P>Illegally parked vehicles on the urban road may create a traffic flow problem as well as a potential traffic accident, such as crashing between parked and other vehicles. Thus, the intelligent traffic monitoring system should be able to prevent this situation by integrating an illegally parked vehicle detection module. However, implementing such a module becomes more challenging due to road environments, such as weather conditions, occlusion, and illumination changing. Hence, this work addresses a method to implement an illegally parked vehicle detection based on the cumulative dual foreground differences from the short-and long-term background models, temporal analysis, vehicle detector, and tracking. The extensive experiments were conducted using both iLIDS and our proposed datasets to evaluate the effectiveness of the proposed method by comparing with other methods. The results showed that the method is effective in detecting illegally parked vehicles and can be considered as part of the intelligent traffic monitoring system.</P>

Similarity-Based Classification of 2-D Shape Using Centroid-Based Tree-Structured Descriptor

Wahyono,Kurnianggoro, L.,Hariyono, J.,Jo, K.-H. SPRINGER-VERLAG 2014 Lecture Notes in Computer Science Vol.8482 No.-

Multiple Threading Strategy for Intelligent Surveillance System

Wahyono,Kang-Hyun Jo 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

Handling Imbalanced Data Using a Cascade Model for Image-Based Human Action Recognition

Wahyono,Suprapto,Adam Rezky,Nur Rokhman,Kang-Hyun Jo 한국정보과학회 2023 Journal of Computing Science and Engineering Vol.17 No.4

Human action recognition plays a crucial role in intelligent monitoring systems, which are based on analyzing the possibility of anomalous events related to human behavior, such as theft, fights, and other incidents. However, by definition, anomalous events occur somewhat infrequently, thus leading to small and unbalanced data compared to data on other events. Such a data imbalance causes the human action recognition model to fail to produce optimal accuracy. To overcome the problem of imbalanced data, the typical methods used are oversampling and undersampling. However, these two methods are not considered to be very effective, because they cause the loss of a significant amount of information or deviations from reality. Therefore, the current paper proposes a cascade modeling strategy to address data imbalance problems, particularly in the case of human action recognition. The proposed strategy consists of several steps: preprocessing, feature extraction, modeling, and evaluation. The BAR dataset experiment found that the cascade model outperformed the other examined methods with an accuracy of 56.38%. However, there is still potential for further improvement through continued research.

Body part boosting model for carried baggage detection and classification

Wahyono,Hariyono, Joko,Jo, Kang-Hyun Elsevier 2017 Neurocomputing Vol.228 No.-

<P><B>Abstract</B></P> <P>In the automatic video surveillance system, the detection of a human carrying baggage is a potentially important objective for security and monitoring purposes in the public spaces. This paper introduces a new approach for detecting and classifying baggage carried by a human on the images. It utilizes the spatial information of the baggage in reference to the body of the human carrying it. A human-baggage detector is modeled by the body parts of a human, including the head, torso, leg, and baggage parts. The feature descriptors are extracted for each part based on its characteristics and these features are further trained using a support vector machine (SVM) classifier. A mixture model is built specifically for the baggage part due to a significant variation in shape, size, color, and texture. The boosting strategy constructs a strong classifier by combining a set of weak classifiers which are obtained by training the body part. The proposed method has been extensively evaluated using the public datasets. The experimental results confirm that the proposed method is viable for a state-of-the-art in the carried baggage detection and classification system.</P>

Pyrophen Produced by Endophytic Fungi Aspergillus sp Isolated from Piper crocatum Ruiz & Pav Exhibits Cytotoxic Activity and Induces S Phase Arrest in T47D Breast Cancer Cells

Astuti, Puji,Erden, Willy,Wahyono, Wahyono,Wahyuono, Subagus,Hertiani, Triana Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.2

Ethyl acetate extracts obtained from culture of endophytic fungi Aspergillus sp isolated from Piper crocatum Ruiz & Pav, have been shown to possess cytotoxic activity against T47D breast cancer cells. Investigations were here conducted to determine bioactive compounds responsible for the activity. Bioassay guided fractionation was employed to obtain active compounds. Structure elucidation was performed based on analysis of LC-MS, $^1H$-NMR, $^{13}C$-NMR, COSY, DEPT, HMQC, HMBC data. Cytotoxity assays were conducted in 96 well plates against T47D and Vero cell lines. Bioassay guided isolation and chemical investigation led to the isolation of pyrophen, a 4-methoxy-6-(1'-acetamido-2'-phenylethyl)-2H-pyran-2-one. Further analysis of its activity against T47D and Vero cells showed an ability to inhibit the growth of T47D cells with IC50 values of $9.2{\mu}g/mL$ but less cytotoxicity to Vero cells with an $IC_{50}$ of $109{\mu}g/mL$. This compound at a concentration of 400 ng/mL induced S-phase arrest in T47D cells.

Effects of dihydrocubebin, a lignan isolated from Indonesian plant Piper cubeba, on the histamine release from rat mast cells

Nugroho, Agung Endro,Wahyono, Wahyono,Wahyuono, Subagus,Maeyama, Kazutaka Kyung Hee Oriental Medicine Research Center 2010 Oriental pharmacy and experimental medicine Vol.10 No.3

The fruits of Piper cubeba L. are used traditionally to treat respiratory disorders in Indonesia. In order to determine the compounds responsible for this activity, the fruits were extracted with nhexane followed by ethanol to give n-hexane and ethanol extracts. Based on tracheospasmolytic assay on these two extracts, the n-hexane extract was more active to inhibit trachea contraction than that of ethanol extract. Upon bioassay guided isolation of the n-hexane extract, a tracheospasmolytic active compound was isolated and identified as dihydrocubebin [(3,4),(3',4')-bis-methylenedioxy-9,9'dihydroxylignan] $(\underline{1})$. Compound $\underline{1}$ was tested further for its ability to inhibit histamine released from mast cells, using rat basophilic leukemia (RBL-2H3) cell line and rat peritoneal mast cells RPMCs) as models; and $DNP_{24}$-BSA, thapsigargin, ionomycin, compound 48/80 and PMA were used as inducers for histamine released from mast cell. The test result showed that $\underline{1}$ inhibited histamine release from RBL-2H3 cells induced by $DNP_{24}$-BSA, thapsigargin and ionomycin. In addition, $\underline{1}$ suppressed histamine release from RPMC induced by either thapsigargin or ionomycin. However, $\underline{1}$ did not inhibit histamine release from RPMC induced by either compound 48/80 or combination PMA-sub optimum dose of ionomycin. Therefore, it was concluded that the inhibitory effects of $\underline{1}$ on the histamine released from mast cells may involve mechanisms related to intracellular $Ca^{2+}$ signaling events or downstream processes of intracellular $Ca^{2+}$ signaling in mast cells.

Empirical Modeling of Fouling Rate of Milk Pasteurization Process : A case study

Budiati, Titik,Wahyono, Nanang Dwi,Hefni, Muh. The Institute of Internet 2015 International journal of advanced smart convergenc Vol.4 No.1

Fouling in heat exchanger becomes a major problem of dairy industry and it increases the production cost. These are lost productivity, additional energy, additional equipment, chemical, manpower, and environmental impact. Fouling also introduces the risk of food safety due to the improper heating temperature which allow the survival of pathogenic bacteria in milk, introducing biofilm formation of pathogenic bacteria in equipments and spreading the pathogenic bacteria to milk. The aim of this study is to determine the fouling rate during pasteurization process in heat exchanger of pasteurized milk produced by Village Cooperative Society (KUD) "X" in Malang, East Java Indonesia by using empirical modeling. The fouling rate is found as $0.3945^{\circ}C/h$ with the heating process time ranged from 0 to 2 hours and temperature difference (hot water inlet temperature and milk outlet temperature) ranged from 0.654 to $1.636^{\circ}C$. The fouling rate depends on type and characteristics of heat exchangers, time and temperature of process, milk type, age of milk, seasonal variations, the presence of microorganism and more. This results will be used to plan Cleaning In Place (CIP) and to design the control system of pasteurization process in order to maintain the milk outlet temperature as standard of pasteurization.

Accuracy Enhancement of Omnidirectional Camera Calibration for Structure from Motion

Joko Hariyono,Wahyono,Kang-Hyun Jo 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

This paper presents a technique to enhance accuracy of omnidirectional camera calibration which is applied structure from motion. We use two omnidirectional images of a predefined trihedron with checker board taken by a calibrate camera at an arbitrary location. Then, several point matches were picked manually from both views of the object. After that, compute and perform a 3D metric reconstruction of a real object from both images, by using the geometrical approach model estimated by single view calibration method. Then improved by the minimization error the distances among trihedral object use our proposed method. The overall experimental results show our proposed method gave smaller distance error.

A survey of 2D shape representation: Methods, evaluations, and future research directions

Kurnianggoro, Laksono,Wahyono, Laksono,Jo, Kang-Hyun Elsevier 2018 Neurocomputing Vol.300 No.-

<P>In the past few years, the research studies in image-based shape representation have been proliferating due to its usefulness and importance for various application. This field has been evolved, from simple descriptor-based instance retrieval to utilization of machine learning approaches. Thus, this papers aims to provide a comprehensive survey to summarize the overall view of this research topic. It covers several concepts including the traditional shape descriptors, boundary and region partitioning strategies, and more advanced techniques which commonly exist in the recent studies. This manuscript discusses the advantages and drawbacks of these methods by providing comparisons of evaluation results on well-known public datasets under the various types of similarity metrics and assessment procedures. To complete the survey, it also suggests diverse possibilities of future research directions. (C) 2018 Published by Elsevier B.V.</P>