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Spatiotemporal and Multidimensional Factor Analysis of Threatened Species with 5D World Map System 基于5D世界地图系统的濒危物种时空多维因子分析
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231686
S. Sasaki, Shogo Shibahara
This paper presents a spatiotemporal and multidimensional analysis method for threatened species by various factors; spatial factors, temporal factors, natural-phenomenal factors and human’s socio-economic factors with 5D World Map System, which is for understanding the cause- and-effect relations and factors between threatened species and human activities. The objective of this study is to provide a systematic way to analyze and visualize the history and the current situation among biodiversity loss with a geographical analysis, and the causal relations between threatened species and human activities with a multidimensional way. In this paper, we verify the feasibility of our method by applying to a globally collected and accessible dataset of extinct or endangered/threatened species and analyzing the effects of human activities to those species, which has a potential for implementations of Sustainable Development Goals (SDGs).
本文提出了一种受多种因素影响的濒危物种时空多维分析方法;利用5D世界地图系统,了解濒危物种与人类活动之间的因果关系和影响因素,包括空间因素、时间因素、自然现象因素和人类社会经济因素。本研究的目的是通过地理分析系统地分析和可视化生物多样性丧失的历史和现状,并从多维角度分析受威胁物种与人类活动之间的因果关系。本文通过对全球已灭绝或濒危/受威胁物种数据集的分析,验证了该方法的可行性,并分析了人类活动对这些物种的影响,这些物种具有实现可持续发展目标(SDGs)的潜力。
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引用次数: 1
Performance Analysis of Turbo Coding Implementation In MIMO Based DVB-T2 System 基于MIMO的DVB-T2系统Turbo编码实现性能分析
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231740
Reza Dwi Agustin, I. Astawa, Aries Pratiarso
Digital Video Broadcasting-Second Generation Terrestrial (DVB-T2) has been the most possible solution to implement digital television. It is the developed version of the last system that is known as Digital Video Broadcasting-Terrestrial (DVB-T). DVB-T2 system has superiority in data transmissions reliability with a high point-to-multipoint speeds. The combination of MIMO and OFDM has resulted in a high-speed data transfer system. Yet, a high-speed transmission could cause an Inter-symbol Interference (ISI) as the effect of frequency selective fading channels. In this research, simulation and performance analysis of Turbo Coding implementation on the MIMO-based DVB-T2 system were conducted. This system used the OFDM transmission technique to decrease ISI. The Turbo Code of this system was used as a Forward Error Correction (FEC) that was able to decrease the number of Bit Error Rate (BER). V-BLAST was also implemented as a detector and MMSE as a channel estimator. As a result, the Turbo Code ½ rate and the Turbo Code rate shows a decent performance on the MIMO-based DVB-T2 system. It was shown that the resulted BER was smaller compared to the system with no code.
第二代地面数字视频广播(DVB-T2)已成为实现数字电视最可能的解决方案。它是最后一个系统的发展版本,被称为数字视频广播-地面(DVB-T)。DVB-T2系统具有数据传输可靠性高、点对多点传输速度快的优点。MIMO和OFDM的结合形成了高速数据传输系统。然而,由于频率选择性衰落信道的影响,高速传输会产生码间干扰(ISI)。在本研究中,对基于mimo的DVB-T2系统的Turbo编码实现进行了仿真和性能分析。该系统采用OFDM传输技术来降低码间干扰。该系统的Turbo码被用作前向纠错(FEC),能够降低误码率(BER)。V-BLAST作为检测器实现,MMSE作为信道估计器实现。因此,Turbo Code½速率和Turbo Code速率在基于mimo的DVB-T2系统上显示出不错的性能。结果表明,与没有编码的系统相比,得到的误码率更小。
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引用次数: 1
Feature Extraction in Liver Cancer Based on Abdominal CT Scan Images using Contour Analysis and GLCM Method 基于轮廓分析和GLCM方法的腹部CT扫描肝癌特征提取
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231533
Yolanda Dwi Paramitha, R. Sigit, T. Harsono, A. Anwar
Liver cancer is a type of cancer that affects the largest organs of the stomach, where some are grown from the liver and some grow in other organs, then spread to the liver. One of the technologies used to analyze and diagnose liver cancer is CT Scan (Computer Tomography Scanner). The CT Scan is often preferred for diagnosing liver cancer, especially as being considered of high accurate imaging, high imaging speed and relatively lower cost. However, the results of the CT Scan are often different depending on the accuracy and experience of the doctor so that it can lead to different diagnoses. In this study, a system was created that was able to extract features from CT Scan images of liver cancer to recognize the object of cancer and distinguish it from other objects. This system will be tested on 50 data abdominal CT Scan images with a diagnosis of liver cancer, where 21 data for benign liver cancer and 29 data for malignant liver cancer. This research has three main stages, that is preprocessing to improve image quality using scaling image, histogram equalization, and median filtering. Segmentation to identify the object being observed and separate it from the background using watershed method and binary thresholding with accuracy is 90%. The last is feature extraction based on cancer area, edge irregularity, and texture to identify liver cancer.
肝癌是一种影响胃中最大器官的癌症,其中一些从肝脏生长而来,一些在其他器官生长,然后扩散到肝脏。用于分析和诊断肝癌的技术之一是CT扫描(计算机断层扫描)。CT扫描通常被认为是诊断肝癌的首选,特别是由于其成像精度高,成像速度快,成本相对较低。然而,CT扫描的结果往往不同,这取决于医生的准确性和经验,因此可能导致不同的诊断。本研究创建了一个能够从肝癌CT扫描图像中提取特征来识别癌症目标并将其与其他目标区分开来的系统。该系统将对50张诊断为肝癌的腹部CT扫描图像进行测试,其中21张为良性肝癌,29张为恶性肝癌。本研究主要分为三个阶段,即利用缩放图像、直方图均衡化和中值滤波对图像进行预处理以提高图像质量。采用分水岭法和二值阈值法对被观察对象进行分割,识别被观察对象并将其从背景中分离出来,分割精度为90%。最后是基于肿瘤面积、边缘不规则性和纹理的特征提取来识别肝癌。
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引用次数: 3
Determination of Learning Media in Elementary School using Multi-Objective Optimization on the Basis of Ratio Analysis Method 基于比例分析法的多目标优化确定小学学习媒介
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231557
Netta Divana Vita Sembiring, Irma Wulandari, D. Permatasari
In the learning process, learning media serves to improve the quality of the teaching and learning process. However, so far the determination of learning media in a class has not paid attention to several aspects, namely ease in getting media, characteristics of students to the type of media, learning time in the use of media, as well as funds needed to obtain media. This study aims to assist teachers in determining the optimal learning media based on student learning styles, as well as using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method in the optimization process. Determination of student learning styles is determined through filling questionnaires by students in the system that has been given a knowledge base and rules for determining learning styles. The MOORA method is used as a multi-objective system that optimizes several conflicting attributes simultaneously. The attributes needed in the optimization process in determining learning media are the ease of getting the media and student learning styles as the attributes to be maximized, as well as the time and funds required as the attributes to be minimized. The experimental result demonstrates that as much as 0.0859% for the assessment of each student experiencing a discrepancy because several factors can affect the acquisition of student learning outcomes, namely internal, external, and learning approaches. Besides, the assessment of the grade average shows a mismatch of 0.25%, because the system uses several criteria so that it does not only focus on the assessment criteria.
在学习过程中,学习媒体为提高教学质量和学习过程服务。然而,到目前为止,课堂学习媒体的确定还没有考虑到几个方面,即获取媒体的难易程度,学生对媒体类型的特点,媒体使用中的学习时间,以及获取媒体所需的资金。本研究旨在帮助教师根据学生的学习风格确定最佳的学习媒体,并在优化过程中使用基于比率分析的多目标优化(MOORA)方法。学生学习风格的确定是通过学生在系统中填写问卷来确定的,该系统具有确定学习风格的知识库和规则。将MOORA方法作为一个多目标系统,同时对多个冲突属性进行优化。在确定学习媒体的优化过程中需要的属性是,是否容易将媒体和学生的学习方式作为要最大化的属性,以及所需的时间和资金作为要最小化的属性。实验结果表明,由于影响学生学习成果获得的几个因素,即内部因素、外部因素和学习方法,对每个学生的评估存在高达0.0859%的差异。此外,平均成绩的评估出现了0.25%的错配,因为该系统使用了多个标准,因此并不只关注评估标准。
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引用次数: 0
Classification of Ovarian Cysts on Ultrasound Images Using Watershed Segmentation and Contour Analysis 基于分水岭分割和轮廓分析的超声图像卵巢囊肿分类
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231695
Anisah Nabilah, R. Sigit, T. Harsono, A. Anwar
Ovarian cyst is a disease that occurs in the uterus of a woman, the method of detection and analysis is carried out by experts by looking at and observing the size of the cyst and the characteristics of the cyst on an ultrasound device. The accuracy of manual ovarian cyst measurement analysis on ultrasound examination results often results in errors, therefore a tool is needed to calculate the size of the cyst and detect the characteristics of the cyst based on the papillary growth in the cyst. Ultrasound image from the hospital as input from the system, then a preprocessing process is carried out to remove noise in the image, the next step is the segmentation process using the watershed method, the segmentation results will be used for feature extraction by detecting cysts and papillary and their sizes using contour analysis with the bounding box method. The extraction feature will be used for cyst classification. This system has an accuracy rate of 97.8%.
卵巢囊肿是发生在女性子宫内的一种疾病,检测和分析的方法是由专家通过在超声设备上观察囊肿的大小和囊肿的特征来进行的。人工卵巢囊肿测量分析对超声检查结果的准确性往往会产生误差,因此需要一种工具来计算囊肿的大小,并根据囊肿内乳头状生长情况来检测囊肿的特征。将医院的超声图像作为系统的输入,然后对图像进行预处理,去除图像中的噪声,下一步是使用分水岭法进行分割,将分割结果用于特征提取,使用边界盒法进行轮廓分析,检测囊肿和乳头及其大小。提取特征将用于囊肿分类。该系统的准确率为97.8%。
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引用次数: 5
Sifte-Math, A Sifteo based Mathematics Assessment Serious Game for Deaf Children 一款基于Sifteo的聋儿数学评估严肃游戏
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231578
Febi Nur Salsabila, Umi Laili Yuhana, E. M. Yuniarno, M. Purnomo
The limitations of deaf children in language lead to the delay progress in teaching and learning process of deaf children compared to normal children, especially in mathematics. This also made teacher hard to understand to what extent the deaf students understand the lesson taught by teacher. Using the advantage of serious game which can help motivate students, this research used Sifte-math, a Sifteo based serious game to test the ability of deaf students in basic mathematics lesson for elementary school, hoping that the game can be an alternative tool for assessment. Sifte-Math was tested on seven students in a school for disabled children in Surabaya, Indonesia. Six from seven students who tested the game responded with enjoy playing the game. Four of them said they prefer to use Sifte-Math as their assessment tools instead of paper and pen, while one student prefers the basic paper and pen, and the other two students prefer both.
聋儿在语言方面的局限性导致他们在教与学的过程中比正常儿童进步缓慢,特别是在数学方面。这也让老师很难理解聋哑学生在多大程度上理解了老师所讲的课。本研究利用严肃游戏有助于激励学生的优势,利用基于Sifteo的严肃游戏Sifte-math对小学失聪学生基础数学课的能力进行测试,希望该游戏能成为另一种评估工具。在印度尼西亚泗水的一所残疾儿童学校,对七名学生进行了筛数学测试。参与测试的7名学生中有6人表示喜欢玩游戏。其中四名学生表示,他们更喜欢使用sift - math作为评估工具,而不是纸和笔,而一名学生更喜欢基本的纸和笔,另外两名学生更喜欢两者。
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引用次数: 0
Development of a Low-Cost Embedded Flight Controller for Quadcopter 四轴飞行器低成本嵌入式飞行控制器的研制
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231564
B. Sumantri, N. Tamami, Yudha Birawa Nuraga, Bagus Kurniawan
Quadcopter has been interesting researchers due to its wide application, such as surveillance, mapping, delivery drone, etc… Developing a low-cost embedded flight controller unit (EFCU) for making the quadcopter autonomous is still challenging problem. In this work, an EFCU is developed based on ARM STM32F103C8T6 microcontroller, the MPU6050 IMU sensor and the HC-SR04 ultrasonic sensor. An PID control strategy is implemented for automatically take-off, landing, and stabilizing control of the quadcopter. The EFCU and PID controller is developed in this work. It is implemented and tested experimentally by providing error on roll and pitch position in 0.71° and 0.68° respectively.
四轴飞行器由于其广泛的应用,如监视、测绘、送货无人机等,一直是研究人员感兴趣的问题。开发一种低成本的嵌入式飞行控制器单元(EFCU)使四轴飞行器自主仍然是一个具有挑战性的问题。本课题以ARM STM32F103C8T6单片机、MPU6050 IMU传感器和HC-SR04超声波传感器为核心,开发了一个EFCU。采用PID控制策略实现四轴飞行器的自动起飞、着陆和稳定控制。本工作主要开发了EFCU和PID控制器。实验结果表明,该方法的横摇和俯仰位置误差分别为0.71°和0.68°。
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引用次数: 5
Searching Ball Around ROI to Increase Computational Processing of Detection 在ROI周围搜索球以增加检测的计算量
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231903
Rangga Dikarinata, Iwan Kumianto Wibowo, M. Bachtiar, Muhammad Abdul Haq
Wheeled Indonesian Soccer Robot Contest (Wheeled KRSBI) is a national competition focused on the development of wheeled soccer robots. EEPIS Robot Soccer On Wheeled (ERSOW) is one of KRSBI's wheeled soccer robots. ERSOW has Artificial Intelligent (AI) for detecting balls, dribbling, and avoiding opponents. Currently, the object detection system in ERSOW uses image processing, this will be a heavy computation because it is done thoroughly in all pixel area. This research focused on making local detection to reduce heavy image processing. Local detection works by searching for local objects in the area around the detected object. It creates the ROI for local detection. From the results of tests conducted when the ball is detected, local detection system can increase 4 EPS from the full frame detection system, whereas in the test results when the ball is not detected, the local detection system is 0.2 FPS slower than the full frame detection system.
轮式印尼足球机器人大赛(轮式KRSBI)是一项专注于轮式足球机器人发展的全国性比赛。EEPIS轮式机器人足球(ERSOW)是KRSBI轮式足球机器人之一。ERSOW具有人工智能(AI),可以检测球,运球和避开对手。目前,ERSOW中的目标检测系统采用的是图像处理方法,由于要对所有像素区域进行彻底的处理,计算量很大。本研究的重点是局部检测,以减少繁重的图像处理。局部检测是在被检测对象周围的区域内搜索局部对象。它为本地检测创建ROI。从检测到球时的测试结果来看,局部检测系统可以比全帧检测系统增加4 EPS,而在未检测到球时的测试结果中,局部检测系统比全帧检测系统慢0.2 FPS。
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引用次数: 2
Walking Balance Control for Humanoid Soccer Robot on Synthetic Grass 仿人足球机器人在合成草地上行走平衡控制
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231879
Mochamad Ayuf Basthomi, A. H. Alasiry, Anhar Risnumawan, A. Wijayanto, Miftahul Anwar, Choirul Anwar Maulana, Puguh Budi wasono, Moch Yahya Indranuddin
Humanoid Soccer Robot is one of the divisions in the Robocup Competition. Robocup is an organization that focuses on research and development of soccer robots. With the aim to build a robot soccer team that will be able to fight humans in 2050. In humanoid robots, the main problem in developing humanoid robots is how to make humanoid robots run stably on uneven surfaces. This paper describes how to maintain the stability of the humanoid football robot called EROS, by optimizing walking movements. Optimization is done by adjusting the movement of walking to the footing conditions. The default robot position will be adjusted based on the position of the robot's center of pressure (CoP), which is then combined with the Linear Inverted Pendulum Model (LIPM). To find out the condition of the pedestal base, the pressure sensor is mounted on the sole of the robot's feet. So it is known the position of the pressure center on the robot, which will be used as a parameter in planning the walking motion. This system has been implemented on humanoid robots with a height of 520 mm, as well as running on synthetic grass under different conditions at a constant speed. From the experiments that have been done it can be seen that by applying this method makes the robot more stable when it is on an uneven surface.
人形足球机器人是机器人世界杯比赛的一个项目。Robocup是一个专注于研究和开发足球机器人的组织。他们的目标是在2050年建立一支能够与人类对抗的机器人足球队。在仿人机器人中,研制仿人机器人的主要问题是如何使仿人机器人在凹凸不平的表面上稳定地运行。本文描述了如何通过优化行走动作来保持人形足球机器人EROS的稳定性。优化是通过调整步行运动的基础条件。机器人的默认位置将根据机器人的压力中心(CoP)的位置进行调整,然后将其与线性倒立摆模型(LIPM)相结合。为了了解基座的状况,将压力传感器安装在机器人的脚掌上。这样就知道了压力中心在机器人上的位置,并将其作为规划行走运动的参数。该系统已在身高520毫米的人形机器人上实现,并在不同条件下的合成草地上以恒定速度运行。从已经完成的实验中可以看出,应用这种方法可以使机器人在不平坦的表面上更加稳定。
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引用次数: 2
Implementation of Resilience as a Service for Parallel Computing 弹性作为并行计算服务的实现
Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231708
Revina Awalia Putri, Idris Winamo, Wiratmoko Yuwono, Agus Priyo Utomo
Interest in parallel computing has been increasing since the introduction of multi-core processor at a reasonable price for the common people, moreover parallel computing has the advantage of faster processing time compared to serial computing. However, the use of parallel computing which can shorten the time does not make it free from the risk of failure which causes the parallel computing process to stop so that the time needed to complete the process will increase depending on how long it takes to detect the failure (realize that the process is stalled) and repair the system to run the process again, also the process time that has been spent because of repeating the process from the beginning. To deal with this, a new resilience system is implemented for parallel computing with the adoption of RaaS (Resilience as a Service). In RaaS-implemented system, checkpoint is done periodically and RaaS run monitoring in order to detect failures. If failure occurs, RaaS automatically run recovery mechanism by replacing the failed instance and resuming the process from the most recent checkpoint. The experiment shows that RaaS implementation can be done for parallel computing and there is faster processing time to handle failure. With the implementation of RaaS, the time to detect failure is shorter and there is no need to repeat the process from the beginning again.
自从多核处理器以合理的价格问世以来,人们对并行计算的兴趣越来越大,而且并行计算比串行计算具有更快的处理时间的优点。然而,利用并行计算,可以缩短的时间不让它摆脱失败的风险导致并行计算过程停止,以便完成流程所需的时间将会增加根据需要多长时间检测失败(意识到过程停滞不前)和修复系统再次运行流程,流程时间,花因为重复的过程从一开始。为了解决这个问题,采用RaaS(弹性即服务)实现了一个新的弹性系统,用于并行计算。在RaaS实现的系统中,定期进行检查点和RaaS运行监控,以检测故障。如果发生故障,RaaS将通过替换失败的实例并从最近的检查点恢复进程来自动运行恢复机制。实验表明,RaaS可以实现并行计算,并且处理故障的处理时间更快。通过实现RaaS,检测故障的时间更短,并且不需要从头开始重复该过程。
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引用次数: 1
期刊
2020 International Electronics Symposium (IES)
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