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2020 6th International Conference on Computing Engineering and Design (ICCED)最新文献

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Recognizing User Activity Using a Smartphone's Accelerometer and Deep Neural Network Classifier 使用智能手机的加速度计和深度神经网络分类器识别用户活动
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415778
Syech Pranata, T. Mantoro, M. A. Ayu, Anton Satria Prabuwon, D. A. Dewi
Along with today's fast-growing technology, machines/devices especially mobile devices have been developed using many sensors to simplify the user's activities. One of the most known and frequently used sensors is called accelerometer, daily used as a step counter, image stabilization, and user interfaces control. However, activity recognition is considered a difficult task due to the reality that each activity has its unique features and there is no clear analytical way to analyze sensor data into specific forms of action in general. This study examines the potential and exciting ability of the accelerometer to recognize user activity by making simple prototype to support the implementation of this user activity recognition. After data acquisition, deep learning classifier will be used to differentiate activities. This research will show the efficiency and utilization of using accelerometer combined with deep learning in recognizing user activity, which can be associated with many applications for advance study such as falling detection, abnormality detection, and prediction of human behavior.
随着当今快速发展的技术,机器/设备特别是移动设备已经开发使用许多传感器来简化用户的活动。其中最著名和最常用的传感器被称为加速度计,日常用作步长计数器,图像稳定和用户界面控制。然而,由于每个活动都有其独特的特征,并且通常没有明确的分析方法将传感器数据分析为特定形式的动作,因此活动识别被认为是一项艰巨的任务。本研究通过制作简单的原型来支持这种用户活动识别的实现,来检验加速度计识别用户活动的潜力和令人兴奋的能力。数据获取后,将使用深度学习分类器来区分活动。本研究将展示加速度计与深度学习相结合在识别用户活动中的效率和利用,这可以与许多应用程序相关联,如跌倒检测,异常检测和人类行为预测。
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引用次数: 0
Combination RSA with One Time Pad for Enhanced Scheme of Two-Factor Authentication 双因素认证增强方案的一次填充组合RSA
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415850
Zaenal Alamsyah, T. Mantoro, Umar Adityawarman, M. A. Ayu
RSA is a popular asymmetric key algorithm with two keys scheme, a public key for encryption and private key for decryption. RSA has weaknesses in encryption and decryption of data, including slow in the process of encryption and decryption because it uses a lot of number generation. The reason is RSA algorithm can work well and is resistant to attacks such as brute force and statistical attacks. in this paper, it aims to strengthen the scheme by combining RSA with the One Time Pad algorithm so that it will bring up a new design to be used to enhance security on two-factor authentication. Contribution in this paper is to find a new scheme algorithm for an enhanced scheme of RSA. One Time Pad and RSA can combine as well.
RSA是一种流行的非对称密钥算法,它有两个密钥方案,一个用于加密的公钥和一个用于解密的私钥。RSA在数据的加解密方面存在弱点,包括加解密过程缓慢,因为它使用了大量的数字生成。原因是RSA算法可以很好地工作,并且可以抵抗暴力破解和统计攻击等攻击。在本文中,它旨在通过将RSA与One Time Pad算法相结合来加强该方案,从而提出一种用于增强双因素认证安全性的新设计。本文的贡献在于为RSA的增强方案找到了一种新的方案算法。One Time Pad和RSA也可以合并。
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引用次数: 5
Edge Feature based Moving Object Detection Using Aerial Images: A Comparative Study 基于边缘特征的航空图像运动目标检测:比较研究
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415786
Z. R. Mahayuddin, A. Saif
Edge features or characteristics are the significant local intensity variation of pictorial structure in an image or frame or video sequence. Edge detection process finds the existence and position of pixels causes by significant differences in intensity of the images or frames or video sequences. However, selection of appropriate edge features specially to detect moving objects using aerial types of video sequences is still an elusive research concern because of various constraints for aerial frames, i.e. various altitudes, lack of features available for detection, motion variation etc. This research proposes comparative evaluation of different edge features based moving object detection methods to make it easy to decide which edge features based detection method is appropriate for extraction of moving object from aerial frames. Proposed research selected three edge features for detection, i.e. Sobel, Prewitt and Canny for moving object extraction to process high and low pictorial brightness variation for aerial video sequences. Proposed research illustrates the comparative performance of edge features based moving object detection. Each of the method is evaluated with extensive experimental analysis with standard performance metrics. Experimental results demonstrate effective comparison among each method with various performance metrics to ensure optimum detection performance for moving objects.
边缘特征或特征是图像或帧或视频序列中图形结构的显著局部强度变化。边缘检测过程发现由于图像或帧或视频序列的强度存在显著差异而引起的像素的存在和位置。然而,由于空中帧的各种限制,即不同的高度,缺乏可用于检测的特征,运动变化等,选择适当的边缘特征专门用于使用航空类型的视频序列检测运动物体仍然是一个难以捉摸的研究问题。本研究提出了基于不同边缘特征的运动目标检测方法的比较评价,以便于确定哪种基于边缘特征的检测方法适合于从航拍帧中提取运动目标。本研究选择Sobel、Prewitt和Canny三个边缘特征进行检测,提取运动目标,处理航拍视频序列图像亮度高低变化。提出的研究说明了基于边缘特征的运动目标检测的比较性能。每种方法都通过广泛的实验分析和标准性能指标进行评估。实验结果表明,在各种性能指标下,各种方法之间进行了有效的比较,以确保对运动目标的最佳检测性能。
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引用次数: 1
Detection of Leak Position in Household LPG Distribution Pipes Using Gas Pressure Sensors and Continuity Equation 用气体压力传感器和连续性方程检测家用LPG配气管道泄漏位置
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415775
Anang Suryana, Mukhlis Ali, Samsul Pahmi, Muhammad Mahmud, Duddy Suherman, A. Dera, Ilham Fazrul Iman, Teja Nuralam
Factors causing pollution both water and air and fires can be caused by the pollution of liquefied petroleum gas (LPG) that comes from gas network leaks from National gas Company (PGN) to households. For National gas Company (PGN) due to LPG gas pipeline leaks can cause quantitative losses. To prevent losses caused by LPG network leaks that are distributed to households, a gas pipeline leak detection system can be applied using the concept of fluid mechanics. Where the position of the gas pipe leakage can be known by the difference in gas pressure at the two ends of the pipe. The difference in pressure on the small gas pipe after the calculation by including the friction factor then the pipe has a leak, but if the difference is greater then the pipe is in normal condition. To detect leaks quickly, the pressure monitoring data will be monitored in a database that is displayed in front end point of the location of leakage of household gas pipes to officers who monitor the performance of the household gas pipeline. The results of this study indicate that the distance or position of the gas leak in the gas pipeline network can be measured by the difference between the two pressures at both ends of the gas pipe that is leaking. The error resulting from the reading of the pressure sensor which produces the calculated distance value to the measurement result of the actual distance of the gas leak position in the pipeline is 0.63% which shows the results of this study are very good.
导致水、空气污染和火灾的因素可能是由国家燃气公司(PGN)的燃气网络泄漏到家庭的液化石油气(LPG)污染引起的。对于国家燃气公司(PGN)来说,由于液化石油气管道泄漏会造成定量的损失。为了防止石油气管网泄漏给住户造成的损失,可以利用流体力学的概念,应用燃气管道泄漏检测系统。其中燃气管道泄漏的位置可以通过管道两端气体压力差来得知。小气体管道上的压力差计算后,包括摩擦系数,则管道有泄漏,但如果差异较大,则管道是正常状态。为了快速发现泄漏,压力监测数据会在一个数据库中进行监测,该数据库显示在家用燃气管道泄漏位置的前端,供监测家用燃气管道性能的人员使用。研究结果表明,燃气管网中气体泄漏的距离或位置可以通过燃气管道两端的两个压力差来测量。压力传感器的读数产生的计算距离值与管道中气体泄漏位置实际距离的测量结果误差为0.63%,表明本研究的结果是很好的。
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引用次数: 1
Instant Construction Design Environmentally Friendly for Building a New Classroom School 新型教室学校的即时环保施工设计
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415823
Paikun, Riyan Rizkiyansah, Mira Novita, Ari Riana, A. O. Irlan
The construction of classrooms which are the main means of education and learning activities is always carried out every year, to meet the needs of classrooms which in 2020 are now experiencing a shortage of 15,931 classrooms. The implementation of school construction so far in Indonesia has been carried out in a self-managed manner, and the construction system uses conventional methods, so it requires a lot of human resources, requires a very long time, and always leaves construction waste. The existing precast construction method is still limited to certain building components, so if the implementation of classroom construction uses the precast method, it is still combined with conventional methods and only speeds up the time a little, and still leaves construction waste, therefore there needs to be a solution so that the implementation of classroom construction does not require a lot of human resources, does not require a long time, and does not leave construction waste. To solve this problem, this research offers an instant school room construction design solution, as a method of implementing the construction of new classrooms. This study uses a pure experimental method and results in the construction design of all building components in classroom construction, including modules of sloop structure components, main columns, beams, walls, floors and roof truss. With this design building components can be produced precast, so that the implementation of the construction of new classrooms at school locations, only providing locations that are ready, then assembling all building components that are produced precast. Using this design can build new classrooms quickly, does not require a lot of human resources, and does not leave construction waste. The design of instant construction of new classrooms in schools, is the right solution as an environmentally friendly method of construction.
教室是教育和学习活动的主要手段,每年都要进行教室建设,以满足教室的需求,到2020年,教室短缺15931间。印尼目前实施的学校建设都是以自我管理的方式进行的,施工系统采用常规的方法,所以需要大量的人力资源,需要很长的时间,而且总是留下建筑垃圾。现有的预制施工方法仍然局限于某些建筑构件,因此如果使用预制施工方法实施教室建设,仍然是与常规方法相结合,只是加快了一点时间,并且仍然留下了建筑垃圾,因此需要有一个解决方案,使教室建设的实施不需要大量的人力资源,不需要很长时间,不留下建筑垃圾。为了解决这一问题,本研究提出了一个即时教室建设设计方案,作为实施新教室建设的一种方法。本研究采用纯实验的方法,对教室建筑中所有建筑构件进行了结构设计,包括单桅结构构件、主柱、梁、墙、楼板、屋架等模块。通过这种设计,建筑构件可以预制生产,因此在学校地点实施新教室的建设,只提供准备好的位置,然后组装所有预制生产的建筑构件。采用这种设计可以快速建造新教室,不需要大量的人力资源,也不会留下建筑垃圾。学校新教室的即时建造设计,作为一种环保的施工方法是正确的解决方案。
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引用次数: 0
Fingerprint Encryption for Biometrics Security using XOR Logic 基于异或逻辑的生物识别安全指纹加密
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415810
Kamdan, Ivana Lucia Kharisma, Dini Oktarina Dwi Handayanil, Umar Aditiawarman, H. A. Maarif
Fingerprint biometrics provide higher confidence in the identity verification process and help create user accountability. Fingerprint as one of the most popular types of biometrics and one of the simplest and most valuable security data that can be protected by all secure physical access to the building. There are various types of biometrics such as fingerprints, iris, voice, body, palms, heart rate and the advantages and disadvantages of each type of biometrics are also discussed in this paper. Lots of security devices that rely on fingerprints as identity verification. Therefore, safeguarding identification is required at the time of distribution by disguising it. XOR Logic's security method in fingerprint biometrics can help maintain data security.
指纹生物识别技术在身份验证过程中提供了更高的信心,并有助于建立用户问责制。指纹作为最流行的生物识别类型之一,也是最简单、最有价值的安全数据之一,可以通过对建筑物的所有安全物理访问加以保护。生物识别技术有多种类型,如指纹、虹膜、声音、身体、手掌、心率等,本文还讨论了每种生物识别技术的优缺点。很多安全设备依赖指纹作为身份验证。因此,在分发时需要通过伪装来保护身份。XOR Logic在指纹生物识别中的安全方法可以帮助维护数据的安全性。
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引用次数: 0
Pure Experiments Creating New Types of Asphalt Using Oil Waste, Resin Stones and Plant Branchs 利用废油、树脂石和植物枝干制造新型沥青的纯实验
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415779
Paikun, Rico Sihotang, Debby Rahmawati, Cece Suhendi, Liana Herlina
Road construction projects consist of rigid pavement and flexible pavement. Rigid pavement uses concrete material while flexible pavement uses asphalt material. Flexible pavement is still an option because of its flexible characteristics, but the need for asphalt is still not comparable with the availability of asphalt. Based on previous research, asphalt availability in Indonesia is only 50%, while the remaining 50% is still imported. Besides that, in Indonesia there are a lot of oil waste that can be harmful to living things and the environment. The lack of asphalt and the large amount of oil waste are serious problems that must be addressed, therefore how to overcome the shortage of asphalt as well as handling oil waste. Can oil waste be used and engineered into an innovative product. The solution to this problem is to make a new type of asphalt. This asphalt is made by treating oil waste, damar stones and four kinds of twigs of plants and leaves. This asphalt is produced using pure experimental methods, namely by boiling resin stones using oil waste, sprinkling formula ash made from twigs and leaves of several types of plants. The results of this new type of asphalt experiment are then tested in a laboratory and compared with the characteristics and properties of asphalt penetration 60/70. Based on experimental results it is proven that oil waste and damar stone can be used to make asphalt by adding formula ash from several branches of plants and leaves. This new type of asphalt is a solution to overcome the amount of oil waste and is very useful so that asphalt production in Indonesia increases
道路建设项目分为刚性路面和柔性路面。刚性路面采用混凝土材料,柔性路面采用沥青材料。由于其灵活的特点,柔性路面仍然是一种选择,但对沥青的需求仍然无法与沥青的可用性相提并论。根据以往的研究,印尼的沥青可用性只有50%,而剩下的50%仍然是进口的。除此之外,印尼有大量的石油废弃物,可能对生物和环境有害。沥青的缺乏和大量的油废物是必须解决的严重问题,因此如何克服沥青的短缺以及处理油废物。废油可以被利用并被设计成一种创新产品吗?解决这个问题的办法是制造一种新型沥青。这种沥青是用废油、大麻石和四种植物的树枝和树叶处理而成的。这种沥青是用纯实验方法生产的,即用废油煮沸树脂石,撒上由几种植物的树枝和叶子制成的配方灰。然后在实验室测试了这种新型沥青的实验结果,并与60/70的沥青渗透特性和性能进行了比较。通过实验证明,在油渣和达玛石中加入几种植物枝叶的配方灰,可以制备沥青。这种新型沥青是克服石油浪费的一种解决方案,对提高印度尼西亚的沥青产量非常有用
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引用次数: 1
Implication of InsurTech to Implementation IT Decision Domain Perspective: The Case Study of Insurance XYZ 保险科技对实施IT决策领域视角的启示:以保险XYZ为例
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415783
Atika Uyun, Dwinanda Kinanti Suci Sekarhati, Fitria Amastini, Afifah Nefiratika, M. R. Shihab, B. Ranti
Today, technology is improving rapidly and transforming insurance business into Insurance Technology (InsurTech). InsurTech is an ecosystem of focused, innovation-based organizations that has the vision to deliver value for clients. PT XYZ is a health insurance company that is changing into InsurTech to provide opportunities focusing on flexibility, effectiveness, and accelerating the automation process of routine activities that are cost-effective and focus on user's experience. With InsurTech, XYZ will be easier to reach end users directly and buying process for customer to be easier and quicker. However, there are still so many challenges for InsurTech based on IT decision domains. XYZ's current CIO has multiple roles such also as Chief Finance Officer (CFO), Chief Support Officer (CSO), and Chief Organization Development & Corporate Planning. This gives the difficulty for project's decision making. Besides, XYZ has not IT Steering Committee (ITSC) yet. This make XYZ difficulty on prioritization process, project's budget estimation, and control. This paper will explain the previous InsurTech research as the state-of-the-art. The results and conclusion is XYZ needs to change and improve its four of IT decision domains, prioritization on all types including prioritization level, and activities related with its employees and senior executives' knowledge, skill, behaviour, and leadership.
今天,技术正在迅速发展,并将保险业务转变为保险技术(InsurTech)。InsurTech是一个由专注、创新的组织组成的生态系统,致力于为客户创造价值。PT XYZ是一家健康保险公司,正在转型为InsurTech,以提供专注于灵活性、有效性和加速日常活动自动化过程的机会,这些活动具有成本效益,并专注于用户体验。有了InsurTech, XYZ将更容易直接接触到最终用户,客户的购买过程也会更容易、更快。然而,基于IT决策领域,InsurTech仍然面临许多挑战。XYZ目前的首席信息官有多个角色,比如首席财务官(CFO)、首席支持官(CSO)和首席组织发展与企业规划。这给项目决策带来了困难。此外,XYZ还没有成立IT督导委员会(ITSC)。这使得XYZ在优先排序过程、项目预算估算和控制上存在困难。本文将解释以前的InsurTech研究作为最先进的。结果和结论是XYZ需要改变和改进它的四个IT决策领域,所有类型的优先级,包括优先级级别,以及与员工和高级管理人员的知识、技能、行为和领导相关的活动。
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引用次数: 1
Comparison Data Mining based on Optimization Algorithms in Receiving Electricity Subsidies 基于优化算法的电力补贴比较数据挖掘
Pub Date : 2020-10-15 DOI: 10.1109/ICCED51276.2020.9415844
D. Gustian, Falentino Sembiring, R. Amelia, Eneng Nurhasanah, Siti Waelah, Nia Anggraeni
Electricity subsidy is the Indonesian Government program through PT. PLN (Persero) to the underprivileged community. Hopefully this program can ease the burden of society due to the economic impacts that occur. There is a problem in the distribution process that has been happening is not on target, it certainly resulted in a financial loss that has been issued by the Government and people who do not feel government assistance. This research uses a comparison of Data Mining classification method based on optimization algorithm to get the best model. Solutions that are expected to assist the Government in reducing financial losses in the delivery process are occurring as well as providing benefits for the government to properly process the distribution of targets. Research provides results that the C4.5 method with the Genetic Algorithm (GA) optimization is a better level of accuracy than Particle Swarm Optimization (PSO) and Differential Evolutin (DE) with a value of 92.28% accuracy.
电力补贴是印尼政府通过PT. PLN (Persero)向贫困社区提供的项目。希望这个项目可以减轻由于经济影响而产生的社会负担。在分配过程中出现了一个问题,没有达到目标,这肯定造成了政府和人民的财政损失,他们没有得到政府的援助。本研究采用基于优化算法的比较数据挖掘分类方法来获得最佳模型。一些解决办法正在出现,预计将有助于政府减少在交付过程中的财政损失,并为政府妥善处理分配目标提供好处。研究结果表明,采用遗传算法(GA)优化的C4.5方法比粒子群算法(PSO)和差分进化算法(DE)的准确率更高,达到92.28%。
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引用次数: 0
期刊
2020 6th International Conference on Computing Engineering and Design (ICCED)
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