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A Review of Recent Advancements in Appearance-based Object Recognition

Procedia computer science 2019年 157卷 613-620页

作者： Gede Putra Kusuma Evan Kristia Wigati Edward Chandra Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Appearance-based object recognition can be used in various applications such as human-computer interface and information retrieval. Therefore, many researchers compete with others to present their best in object recognition. Since object recognition has been studied for a long time and encompassed diverse approaches, therefore a review of the latest works is needed. This paper aims to deliver the trends in object recognition researches focusing on instance recognition and foreground detection such as salient object detection and object detection as supporting methods. Covering 34 publications, we survey the approaches, methods, datasets, performance measure, and experimental results. We also present research challenges in object recognition which can be used as suggestions for future works. We hope that our work can provide an overview of the current trends for object recognition and foreground detection methods.

关键词： Instance recognition Fine-grained recognition Foreground detection Salient object detection Object detection

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Android-Based oil palm farmer’s income analysis to support precision agriculture

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AIP Conference Proceedings 2023年第1期2594卷

作者： M. P. Bimantio A. Ferhat L. Isnaini D. P. Putra T. Suparyanto B. Pardamean Department of Food and Agricultural Technology Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Department of Agricultural Socio-Economics Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Department of Agricultural Socio-Economics Gadjah Mada University Yogyakarta Indonesia 55281 Department of Agrotechnology Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480

The purpose of this research is to create a simulator application in calculating farmer's income from the sale of fresh fruit bunches. Farmers can easily find out the outcomes based on how many kilograms of crops are sold through this application. This research was conducted in Mesuji Regency, Lampung Province, using primary data and descriptive analysis. The sampling technique utilized a proportional random sampling method and consisted of 88 oil palm farmers. The results indicated that the application made it simpler for farmers to find out their income. Farmers only needed to input the land area, the harvest number obtained on the harvest day that had been carried out, and the price of fresh fruit bunches so that they would know the estimated monthly and annual income calculations. These calculations can be used by farmers as a predicting and planning tool to avoid losses.

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Sustainability of the Water Footprint of Various Soil Types on Oil Palm Plantations

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IOP Conference Series: Earth and Environmental science 2022年第1期998卷

作者： Lisma Safitri Hermantoro Valensi Kautsar Teddy Suparyanto Alam Ahmad Hidayat Bens Pardamean Agricultural Engineering Department Institute of Agricultural STIPER Yogyakarta 55282 Indonesia School of Earth and Environment University of Leeds Woodhouse Leeds LS2 9J Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

There are significant studies that have quantified oil palm water footprint as an indicator of environmental sustainability but an estimation of water footprint under varying soil types furthermore is still limited. The objectives of the study were to estimate whether annual variations of soil type and yields significantly effects for the oil palm water footprint. The data from three types of soil (spodosol, inceptisol, ultisol) were collected from an oil palm plantation in Pundu village, Central Kalimantan, Indonesia. To perform the water footprint analysis we utilize water balance accounting equations via application Cropwat 8.0. From that, we determine the crop irrigation scheduling to compute the blue, green, and grey water footprint of oil palm fresh fruit bunch in the area. Our analysis found that the actual evapotranspiration of spodosol and inceptisol have the same value: 1242 mm/year whilst ultisol is 1239 mm/year. The total water footprint of oil palm varied considerably with the largest value being 1310.04 m3/ton for ultisol. The actual evapotranspiration of spodosol and inceptisol have the same value of 1242 mm/year whilst ultisol is 1239 mm/year. The higher production resulted in a lower water footprint and vice versa. Moreover, the total water footprint from ultisol soil type has the highest value due to the lowest yields. The difference in evapotranspiration value resulted in the insignificant value of total water footprint. The lower water availability, the lower water use, and the higher actual irrigation requirement in oil palm plantation yet showed the unnotable impact on water footprint in different soil types for the oil palm plantation.

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Toward Smart Mobility: Assessing Digital Service and IT Governance Consequences for Public Transportation 10

Toward Smart Mobility: Assessing Digital Service and IT Gove...

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Sukmaningsih, Dyah Wahyu Supangkat, Suhono Harso Kosala, Raymond Ranti, Benny Bina Nusantara University Computer Science Department Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728148809

Public transportation has become one of the important things in sustainable city development. This study discusses the factors that influence for increasing satisfaction of public transportation passengers, in this case, train passengers. In addition to factors that were discussed in previous studies, this paper also added digital service factors. This study conducted online survey and data analyzing using PLS-SEM method. Service delivery, onboard experience and accessibility are the most important factors in ensuring passenger satisfaction. Although digital service has not been a significant determinant in passenger satisfaction, this paper also proposes issues that need attention in relation to IT governance. © 2019 IEEE.

关键词： Scanning electron microscopy

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Simulation of Mitsubishi RV-M1 Robotic Arms by Using MATLAB® for High school Teaching 6

Simulation of Mitsubishi RV-M1 Robotic Arms by Using MATLAB...

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Joint Conference of the 6th Annual Conference of Industrial and System Engineering 2019, ACISE 2019 and 1st International Conference on Risk Management as an Interdisciplinary Approach 2019, ICRMIA 2019

作者： Prabowo, D. Wiannastiti, M. Hedwig, R. Computer Engineering Department Faculty of Engineering Bina Nusantara University 9 K.H. Syahdan Jakarta11480 Indonesia School of Computer Science Bina Nusantara University 9 K.H. Syahdan Jakarta11480 Indonesia

Since most of high school students in Jakarta love robots very much, they join Engineering Club at school. Unfortunately, only few high schools have a real robot arm for students to learn in their school labs. The purpose of this research is to create a small simulation program based on MATLAB® and Robotic Toolbox 9.10 which resembles Mitsubishi RV-M1 robotics arm. The simulation is a 3D view and 5 degree of freedom which its end-effectors position is as close as the real one. It is hoped the results of this research study can be used as a base for further development of human controlled robotics arms simulation. © Published under licence by IOP Publishing Ltd.

关键词： Robotic arms

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Exploration of Technology Home-based Learning Guidance for Parents and Students during the Covid-19 Pandemic

Exploration of Technology Home-based Learning Guidance for P...

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IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Suzanna Suzanna Sasmoko Sasmoko Ford Lumban Gaol Tanty Oktavia Tokuro Matsuo BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781728173986

With the sudden attack of the Corona Virus Disease 2019 (COVID-19), some 300 million children in the world have been forced to study at home because of the mass closure of schools that began on March 18, 2020. This has caused many obstacles in the teaching and learning process. Every effort is made to minimize the COVID-19 pandemic while ensuring the teaching and learning process is not interrupted. If the school closures too long and the child is trapped inside the house this will have a negative impact on the physical and mental health of the children. This situation makes parents become worried and look for alternative education in addition to formal schooling for their children. Of the various types of education offers that exist homeschooling or commonly known as home-based learning provides a way out for the current situation. Now children are quarantined in their homes and they will return to school once this epidemic fades. But with this disaster, parents' views on homeschooling or home-based learning can be different from before. They may still be marked if home-based learning can be a long-term education. With the existence of COVID-19, most parents might finally realize that education without formal schooling is not a crisis but an opportunity to take their children to a better future. This research was conducted by utilizing a descriptive qualitative method and within the descriptive qualitative method, the concept of document analysis would be utilized the most. It was expected that the results of this research would explore what type of technology parents could prepare for their children to use to initiate home-based learning.

关键词： COVID-19 Pediatrics Text analysis Pandemics Education Government Mental health

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Feature Pyramid Networks for Crowd Counting

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Procedia computer science 2019年 157卷 175-182页

作者： Tjeng Wawan Cenggoro Ayu Hidayah Aslamiah Ardian Yunanto Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480

In this paper, we propose the use of Feature Pyramid Networks (FPN) for Crowd Counting problem. FPN previously has been used for retinanet, the state-of-the-art model for object detection. By using FPN, our proposed crowd counting model achieved a state-of-the-art performance for UCF CC 50 dataset with MAE 136.4 and MSE 223.6. The proposed model is also achieved a state-of-the-art MSE value of 7.6 for ShanghaiTech Part B dataset. The code can be accessed at https: //***/wawancenggoro/fpncc.

关键词： Crowd Counting Scale-Aware Deep Learning Feature Pyramid Networks

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The impact of the 7E learning cycle model on students’ capacity for understanding mathematics

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AIP Conference Proceedings 2023年第1期2886卷

作者： Dika Putra Jaya Sulistiawati Samsul Arifin MAN 1 Belitung Kepulauan Bangka Belitung 33411 Indonesia Mathematics Education Department STKIP Surya Tangerang 15115 Indonesia Statistics Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

The mathematical understanding ability is one of the abilities that must be mastered by students in mathematics learning. One of the actions that can be taken to improve the mathematical understanding ability is to use Learning Cycle 7E Model. The 7E stands for Elicit, Engage, Explore, Explain, Elaborate, Evaluate, and Extend. This research was to examine whether the students’ mathematical understanding ability who learned using Learning Cycle 7E Model was better than those who learned using conventional learning. The research method used was quantitative with a quasi-experimental design, the detail was a non-equivalent post-test only group design. The population of this research was students in 7th grade, which consisted of 7A, 7B, and 7C in SMP PGRI 400 Tangerang, Indonesia. The selected samples were 7A and 7B by cluster random sampling. This research was used a test instrument with essay form about mathematical understanding ability in Algebraic Count Operations. The data analysis used was an independent sample t-test, the result showed that the t-calculated value (7.093) is greater than the t-table value (1.665) at an alpha of 0.05. Based on this result, it can be concluded that the students’ mathematical understanding ability who learned using Learning Cycle 7E Model was better than those who learned using conventional learning.

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Feature Selection in Cross-Project Software Defect Prediction 3

Feature Selection in Cross-Project Software Defect Predictio...

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3rd International Conference on science and Technology 2019, ICST 2019

作者： Saifudin, A. Trisetyarso, A. Suparta, W. Kang, C.H. Abbas, B.S. Heryadi, Y. Informatics Engineering Pamulang University Jalan Raya Puspitek 46 Banten15310 Indonesia Computer Science Program Bina Nusantara University Jalan Kebon Jeruk Raya 27 Jakarta11530 Indonesia Informatics Department Pembangunan Jaya University Banten Indonesia Department of Electronics and Communication Engineering Kwangwoon University Korea Republic of

Advances in technology have increased the use and complexity of software. The complexity of the software can increase the possibility of defects. Defective software can cause high losses. Fixing defective software requires a high cost because it can spend up 50% of the project schedule. Most software developers don't document their work properly so that making it difficult to analyse software development history data. Software metrics which use in cross-project software defects prediction have many features. Software metrics usually consist of various measurement techniques, so there are possibilities for their features to be similar. It is possible that these features are similar or irrelevant so that they can cause a decrease in the performance of classifiers. In this study, several feature selection techniques were proposed to select the relevant features. The classification algorithm used is Naive Bayes. Based on the analysis using ANOVA, the SBS and SBFS models can significantly improve the performance of the Naïve Bayes model. © Published under licence by IOP Publishing Ltd.

关键词： Defects

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The relationship between visual-spatial intelligence and logic-mathematic intelligence

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AIP Conference Proceedings 2023年第1期2886卷

作者： Klara Iswara Sukmawati Selly Irlianti Wiwik Wiyanti Samsul Arifin STKIP Surya Jl. Imam Bonjol No. 88 Bojong Jaya Karawaci Tangerang Banten Indonesia 15810 Statistic Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Visual thinking in the picture not only stimulates creativity but also enriches higher order thinking skill processes. It indicates that there is a connection between visual-spatial and logical-mathematical intelligence. The purpose of this study is to find out is there a linear connection between visual-spatial intelligence and logical-mathematical intelligence. The research method is correlational with two variables, namely visual-spatial intelligence as a predictor variable (X) and logical-mathematical intelligence as a response variable (Y). The population in this study were students of class XI science in SMA Negeri 17 Tangerang Regency with a sample of 112 students. The sampling technique used is cluster random sampling. The data is obtained from tests which measure about visual-spatial and logical-mathematical intelligence. The data analysis technique is comparative analysis. The coefficient value obtained r=0.441. From these results, it can be concluded that, there is a positive linear connection between visual-spatial intelligence with logistical-mathematical intelligence in the medium category.

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