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2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)最新文献

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Classification of IoT Binaries in Resource Constrained Environments 资源受限环境下物联网二进制文件的分类
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318705
Prajwal Ravishankar, G. Geethakumari
An overwhelming majority of the devices in the IoT ecosystem are severely constrained in terms of computing power and security, the former being one of the causes of numerous security concerns. This paper provides an efficient light-weight Convolutional Neural Network (CNN) based architecture for classification of IoT binary executables as malware or benign taking into account the severely constrained computing capabilities of the targeted devices. The proposed architecture facilitates faster classification of IoT binaries as benign or malignant using a reasonable number of parameters. The results of the experiment show that the proposed solution achieves an accuracy of around 95% using approximately 360,000 parameters. The number of parameters used in the proposed work is much less compared to what other neural network based models would use.
物联网生态系统中的绝大多数设备在计算能力和安全性方面受到严重限制,前者是众多安全问题的原因之一。本文提供了一种高效的轻量级卷积神经网络(CNN)架构,用于将物联网二进制可执行文件分类为恶意软件或良性,同时考虑到目标设备的严重限制计算能力。所提出的架构有助于使用合理数量的参数更快地将物联网二进制文件分类为良性或恶性。实验结果表明,该方法使用约36万个参数,准确率达到95%左右。与其他基于神经网络的模型相比,所提出的工作中使用的参数数量要少得多。
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引用次数: 1
Exposure Fusion using Particle Filtering Techniques 使用粒子滤波技术的曝光融合
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318633
V. Ramakrishnan
Fusion of Multiple exposure images has attracted lot of attention over the years. There are various approaches for multi-exposure image fusion, in these approaches the images are treated and fused in the spatial domain or in the transform domain by defining a fusion rule. This filtering based approach for exposure fusion; relies basically on natural spatial, statistics of the images rather than on parameter extraction based approaches. The basic advantage of the particle filtering based approach is its linearity and quick convergence. This method is based on stochastic principles for de-noising. We treat the particle filtering based approach as an image de-noising problem in the spatial domain in this paper.
多年来,多次曝光图像的融合引起了人们的广泛关注。多曝光图像融合有多种方法,在这些方法中,通过定义融合规则对图像在空间域或变换域进行处理和融合。基于滤波的暴露融合方法;基本依赖于自然空间,统计图像,而不是基于参数提取的方法。基于粒子滤波方法的基本优点是线性和快速收敛。这种方法是基于随机原理去噪的。本文将基于粒子滤波的方法看作是空间域中的图像去噪问题。
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引用次数: 1
Deep Learning Approach for Brain Tumor Detection and Segmentation 脑肿瘤检测与分割的深度学习方法
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318681
Gajendra Raut, Aditya Raut, Jeevan Bhagade, Jyoti Bhagade, Sachin Gavhane
Brain tumor is a serious health condition which can be fatal if not treated on time. Hence it becomes necessary to detect the tumor in initial stages for planning treatment at the earliest. In this paper we have proposed a CNN model for detection of brain tumor. Firstly brain MRI images are augmented to generate sufficient data for deep learning. The images are then pre-processed to remove noise and make images suitable for further steps. The proposed system is trained with pre-processed MRI brain images that classifies newly input image as tumorous or normal based on features extracted during training. Back propagation is used while training to minimize the error and generate more accurate results. Autoencoders are used to generated image which removes irrelevant features and further tumor region is segmented using K-Means algorithm which is a unsupervised learning method.
脑肿瘤是一种严重的健康状况,如果不及时治疗,可能会致命。因此,早期发现肿瘤,尽早制定治疗方案是十分必要的。本文提出了一种用于脑肿瘤检测的CNN模型。首先,增强脑MRI图像,为深度学习生成足够的数据。然后对图像进行预处理以去除噪声并使图像适合进一步的步骤。该系统使用预处理的MRI脑图像进行训练,该图像根据训练过程中提取的特征将新输入的图像分类为肿瘤或正常。在训练时使用反向传播来最小化误差并生成更准确的结果。使用自编码器生成图像,去除不相关特征,并使用无监督学习方法K-Means算法对肿瘤区域进行进一步分割。
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引用次数: 27
Cancer Cell Detection using 2D Photonic Crystal 利用二维光子晶体检测癌细胞
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318699
Karuna Gamare, R. B. Jain
In this paper a fast, efficient and accurate method for the detection of a cancerous cell using Two-dimensional (2D) photonic crystal is proposed. Photonic crystal has many advantage of small size, portability, low cost, high sensitivity and accuracy. The detection of cancer cell is based on the fact that the refractive index of cancer cells differ from normal cells in human body. This difference in refractive index can be observed using optical techniques in 2D photonic crystal. The detection mechanism consists of shift in reflection or transmission coefficient on different wavelength, when a sample of cell is placed in to 2D photonic crystal structure with defect and this shift is different for different types of cancer cells. This helps in interpreting the type of cancer efficiently. For analysis of different cancer cells, refractive index of cancer cells have been taken instead of refractive index of air in the structure. This paper analyzes the shift in wavelength for various cancer cells such as PC12, Basal, Jurkat, Cervical, MCF-7, MDA-MB 231 with the help of grating structure, structure with defect and double ring structure. Finite Element Method based simulation tool, COMSOL Multiphysics has been used for analysis and results are presented in the form of reflection coefficient vs wavelength for various cancer cells.
本文提出了一种利用二维光子晶体快速、高效、准确地检测癌细胞的方法。光子晶体具有体积小、便携、成本低、灵敏度高、精度高等优点。癌细胞的检测是基于癌细胞的折射率不同于人体正常细胞这一事实。这种折射率差异可以用光学技术在二维光子晶体中观察到。检测机制是将细胞样品置于有缺陷的二维光子晶体结构中,其反射系数或透射系数在不同波长上发生位移,这种位移对不同类型的癌细胞是不同的。这有助于有效地解释癌症的类型。为了分析不同的癌细胞,用癌细胞的折射率代替结构中空气的折射率。本文利用光栅结构、缺陷结构和双环结构分析了PC12、Basal、Jurkat、Cervical、MCF-7、MDA-MB 231等多种癌细胞的波长位移。利用基于有限元法的仿真工具COMSOL Multiphysics对不同癌细胞进行了分析,结果以反射系数随波长变化的形式呈现。
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引用次数: 0
To Optimize the Conduct of a Photovoltaic Structure using Different DC-DC Conversion Topologies with Emerging Methods for Control Algorithms 使用不同的DC-DC转换拓扑优化光伏结构的性能,并采用新兴的控制算法
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318684
P. Kulkarni, S. Deshmukh
Distributed generation is now a days one of the mostly used method for the production of electricity in different sectors like residential, commercial and industrial. The resources like solar, wind, hydro, biogas, tidal and biomass are in the race for the production of electrical energy. They are producing electricity independently as well helps in decreasing the pollution which was one of the main reasons to reduce the use of non-renewable sources. Out of several non-conventional energy sources, the source which is extensively used solar energy. Compared with other sources, it has many benefits like it is freely available, abundant in nature, non-polluting, and for conversion it does not require any rotating device. Integration of any system with other increases the performance. Hence to improve its overall efficiency, a solar system can be integrated with thermal, hydro or wind power system. Also, a best suited converter topology will be opted along with an appropriate maximum power point tracking algorithm to make it more effective in operation. But solar energy depends on radiance and temperature which shows it is variable and its power output reduces due to partial shedding in cells. This will alleviate the conversion efficiency of solar system (it is about 17-20%). Hence to increase the solar power output, soft and hard computing algorithms are used in a system which are called as control algorithms. This paper gives the idea regarding two major converter topologies-buck and boost, their comparison, and suitability of converter circuit for solar applications. Also, the paper focuses on different hard and soft computing methods which works to capture the optimum power point and related control algorithms.
分布式发电现在是住宅、商业和工业等不同部门最常用的发电方法之一。太阳能、风能、水能、沼气、潮汐能和生物质能等资源都在竞相生产电能。他们独立生产电力,也有助于减少污染,这是减少使用不可再生能源的主要原因之一。在几种非常规能源中,太阳能是应用最为广泛的能源。与其他资源相比,它具有可免费获取、性质丰富、无污染、转换不需要任何旋转装置等优点。任何系统与其他系统的集成都可以提高性能。因此,为了提高其整体效率,太阳能系统可以与热能、水力或风力发电系统相结合。此外,将选择最适合的转换器拓扑结构以及适当的最大功率点跟踪算法,以使其更有效地运行。但太阳能取决于辐射和温度,这表明它是可变的,而且由于电池的部分脱落,其功率输出会减少。这将降低太阳能系统的转换效率(约为17-20%)。因此,为了增加太阳能的输出功率,在系统中使用软计算算法和硬计算算法,称为控制算法。本文介绍了两种主要的变换器拓扑——降压和升压,它们的比较,以及转换电路在太阳能应用中的适用性。此外,本文还重点介绍了各种用于捕获最佳功率点的硬计算和软计算方法以及相关的控制算法。
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引用次数: 0
Review of Healthcare Database 医疗保健数据库审查
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318722
Deepali Maste, Nikita Patil, M. Meena
Digitalization has an impact on the healthcare system too and the result can be seen in improvements in the medical field. All healthcare components like doctors, hospitals, clinics, diagnostic centers are working together to increase life expectancy using advanced digital tools. Method of diagnosis is also changing as decisions by doctors are based on case study and analysis rather than individual perception. So to deal with more perfection towards treatment and to apply reliable methods for patient more consistent way of recording data, status and stage of diagnosis is needed. Databases generated at each stage need to be stored, secured, compatible, standard and useful for diagnosis as well as preventive healthcare. The procedures for receiving medical care through digital medium is under drastic change in most of the nations, healthcare professionals need to adapt it for better outcomes. The new regulations now encourage saving patient records or databases for the services rendered in a given format like EHR or EMR. In this paper review is done to study current developments in the medical field related to digitalization. And it is observed that a huge amount of biomedical data generated through digitalization needs to be optimized. And also to make possible the interoperability of individual dataset and integration of clinical and biomedical data into biomedical data science.
数字化也对医疗保健系统产生了影响,其结果可以在医疗领域的改善中看到。医生、医院、诊所、诊断中心等所有医疗保健组成部分正在共同努力,使用先进的数字工具延长预期寿命。诊断方法也在改变,因为医生的决定是基于案例研究和分析,而不是个人的看法。因此,为了使治疗更加完善,为患者提供可靠的方法,需要更一致的记录数据、状态和诊断阶段的方法。在每个阶段生成的数据库都需要存储、安全、兼容、标准且对诊断和预防性医疗保健有用。在大多数国家,通过数字媒体接受医疗保健的程序正在发生巨大变化,医疗保健专业人员需要适应它以获得更好的结果。新规定现在鼓励保存病人记录或数据库,以提供特定格式的服务,如EHR或EMR。本文综述了目前医学领域与数字化相关的研究进展。并且观察到通过数字化产生的大量生物医学数据需要优化。同时也使个人数据集的互操作性成为可能,并将临床和生物医学数据整合到生物医学数据科学中。
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引用次数: 0
Role of IoT and Bigdata Analytics in Healthcare for Disease Prediction 物联网和大数据分析在医疗保健疾病预测中的作用
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318662
Yasmeen Shaikh, V. Parvati, S. R. Biradar
One of the major issues to worry nowadays is the busy life cycle people follow and the effect they have on the health. This busy life cycle has made people to neglect their health. In India many people are below poverty line and even majority of population stays in rural places and cost of medical treatment is too high. Under these situations, it is not feasible for people to afford costly medical treatment. We have seen people being admitted to hospitals at the last hour and being forced to follow traditional medical practices and lose their lives. To address this issue, we need a remote health monitoring system that could alert people about their health condition and people can get medical diagnosis done remotely. In this paper, we discuss, the role played by IoT and bigdata analytics in the field of healthcare. We also discuss the benefits, challenges and applications of these technologies. We propose a system to monitor heart condition of a patient using IoT which alerts the patient or doctor if any abnormality is observed. This system could further be scaled to provide real time health monitoring to predict various diseases using bigdata and ml analytics.
人们忙碌的生活周期及其对健康的影响是当今令人担忧的主要问题之一。这种忙碌的生活周期使人们忽视了自己的健康。在印度,许多人生活在贫困线以下,甚至大多数人口都住在农村地区,医疗费用太高。在这种情况下,人们不可能负担得起昂贵的医疗费用。我们看到人们在最后一小时被送进医院,被迫遵循传统的医疗做法,失去生命。为了解决这个问题,我们需要一个远程健康监测系统,它可以提醒人们他们的健康状况,人们可以远程进行医疗诊断。在本文中,我们讨论了物联网和大数据分析在医疗保健领域所扮演的角色。我们还讨论了这些技术的好处、挑战和应用。我们提出了一个使用物联网监测患者心脏状况的系统,如果观察到任何异常,该系统会向患者或医生发出警报。该系统可以进一步扩展,提供实时健康监测,使用大数据和ml分析来预测各种疾病。
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引用次数: 2
Using Virtual Reality for Therapeutic Treatment of Phobia 使用虚拟现实治疗恐惧症
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318727
Lavany Jadhav, Kapil Parekh, Vikas Gupta, S. Chandak
In this paper, we extend the use of Virtual Reality for treating various phobias. Virtual reality is used to therapeutically treat phobias efficiently. The study suggests in phobias the excessive amount of fear doesn't correspond to the potential amount of danger of stimulus. In the trivial therapeutic method, the patient is unable to experience the stimulus as the treatment lacks projection of stimulus, here we use exposure-based treatment for patients by creating a virtual environment. The patients are examined and categorized based on the degree of fear, correspondingly a virtual environment is modeled based on each category. An examination is considered during mediated pathways, which suggest a reduction in the severity of the phobia symptoms during the treatment. The significant changes in the behavior are recorded for iterative refinements.
在本文中,我们扩展使用虚拟现实治疗各种恐惧症。虚拟现实被用来有效地治疗恐惧症。研究表明,在恐惧症中,过度的恐惧并不对应于刺激的潜在危险程度。在琐碎的治疗方法中,由于治疗缺乏刺激的投射,患者无法体验刺激,这里我们通过创建虚拟环境对患者使用基于暴露的治疗。根据患者的恐惧程度对患者进行检查和分类,相应的,根据每个类别建立一个虚拟环境。在介导的途径中考虑进行检查,这表明在治疗期间恐惧症症状的严重程度有所减轻。记录行为中的重要变化以进行迭代改进。
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引用次数: 1
Economical Approach for SVC Systems to Improve Power Quality using Fully Indigenous Technology 采用完全自主技术改善SVC系统电能质量的经济途径
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318649
K. Nikum, R. Saxena, Abhay Wagh, Priti Singh
The question of power quality issues are rapidly increasing and require new technologies to deal with these power quality issues in industries. Flexible alternating current transmission systems (FACTS) are modern devices in power system for maintaining power factor and stability. This paper deals with a modified switching and design of static var compensator (SVC). The proposed SVC model is designed which is economical, highly reliable, and uses fully indigenously developed technology. The design of SVC with harmonic filters has been discussed with a new switching concept.
电能质量问题正在迅速增加,需要新的技术来处理这些工业中的电能质量问题。柔性交流输电系统(FACTS)是电力系统中用于保持功率因数和稳定性的现代化设备。本文研究了一种改进的静态无功补偿器(SVC)的开关和设计。所设计的SVC模型经济、可靠,并充分利用了自主开发的技术。从一个新的开关概念出发,讨论了带谐波滤波器的SVC的设计。
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引用次数: 0
Dexter the College FAQ Chatbot 德克斯特大学常见问题聊天机器人
Pub Date : 2020-02-18 DOI: 10.1109/ICCDW45521.2020.9318648
Ajinkya Huddar, Chaitanya Bysani, Chintan Suchak, U. Kolekar, Kaushiki Upadhyaya
Chatbot is a new and upcoming technology that has great demand in various industries. The main goal of a chatbot is to create a human-like conversation between a human and a machine, to reduce the work stress. The chatbot can be implemented in any industry easily, unlike any other product where the products need to be developed and tested before switching platforms. In colleges, especially during the time of admission, reception gets crowded and people have to wait to get their queries solved. If any person wants to know about the college, then he/she has to travel to college. Although every college has its website, not everybody can find the answer to their query. Colleges are not working on weekends, so if someone wants to visit or call reception to get their query answered they will have to wait until any working weekday. To solve these problems, we will create an AI chatbot. This chatbot will be embedded on the college website and will be able to answer any college-related query easily. Chabot will be able to answer multiple persons at the same time, people don't have to visit the college to get their query solved and it will be available 24/7
聊天机器人是一项新兴的技术,在各个行业都有很大的需求。聊天机器人的主要目标是在人与机器之间建立一种类似人类的对话,以减轻工作压力。聊天机器人可以很容易地在任何行业中实现,而不像任何其他产品需要在切换平台之前开发和测试产品。在大学里,尤其是在入学的时候,接待处总是很拥挤,人们不得不等待他们的问题得到解决。如果有人想了解大学,那么他/她必须去大学。虽然每所大学都有自己的网站,但并不是每个人都能找到自己问题的答案。大学周末不工作,所以如果有人想去拜访或打电话给接待处来回答他们的问题,他们将不得不等到任何工作日。为了解决这些问题,我们将创建一个AI聊天机器人。这个聊天机器人将被嵌入到大学网站上,能够轻松回答任何与大学有关的问题。Chabot将能够同时回答多个人的问题,人们不必去学院解决他们的问题,它将是全天候可用的
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引用次数: 6
期刊
2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)
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