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Fortifying Healthcare Data Security in the Cloud:A Comprehensive Examination of the EPM-KEA Encryption Protocol

Computers, Materials & Continua 2024年第5期79卷 3397-3416页

作者： Umi Salma Basha Shashi Kant Gupta Wedad Alawad SeongKi Kim Salil Bharany Computer Science and Information Technology Jazan UniversityJazanSaudi Arabia CSE Eudoxia Research UniversityNew CastleUSA Department of Information Technology College of Computer ScienceQassim UniversityBuraydahSaudi Arabia National Center of Excellence in Software Sangmyung UniversitySeoulKorea Department of Computer Science and Engineering Lovely Professional UniversityPhagwaraPunjabIndia

A new era of data access and management has begun with the use of cloud computing in the healthcare industry.Despite the efficiency and scalability that the cloud provides, the security of private patient data is still a majorconcern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentialityand integrity of healthcare data in the cloud. The computational overhead of encryption technologies could leadto delays in data access and processing rates. To address these challenges, we introduced the Enhanced ParallelMulti-Key Encryption Algorithm (EPM-KEA), aiming to bolster healthcare data security and facilitate the securestorage of critical patient records in the cloud. The data was gathered from two categories Authorization forHospital Admission (AIH) and Authorization for High Complexity Operations.We use Z-score normalization forpreprocessing. The primary goal of implementing encryption techniques is to secure and store massive amountsof data on the cloud. It is feasible that cloud storage alternatives for protecting healthcare data will become morewidely available if security issues can be successfully fixed. As a result of our analysis using specific parametersincluding Execution time (42%), Encryption time (45%), Decryption time (40%), Security level (97%), and Energyconsumption (53%), the system demonstrated favorable performance when compared to the traditional method.This suggests that by addressing these security concerns, there is the potential for broader accessibility to cloudstorage solutions for safeguarding healthcare data.

关键词： Cloud computing healthcare data security enhanced parallel multi-key encryption algorithm(EPM-KEA)

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One-to-many authentication for access control in mobile pay-TV systems

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Science China(Information Sciences) 2016年第5期59卷 118-132页

作者： Debiao HE Neeraj KUMAR Han SHEN Jong-Hyouk LEE State Key Laboratory of Software Engineering Computer School Wuhan University Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University Department of Computer Science and Engineering Thapar University Department of Computer Science and Engineering Sangmyung University

In traditional authentication schemes for access control in mobile pay-TV systems, one-to-one delivery is used, i.e., one authentication message per request is delivered from a head-end system(HES) to a subscriber. The performance of one-to-one delivery for authentication is not satisfactory as it requires frequent operations which results in high bandwidth consumption. To address this issue, one-to-many authentication for access control in mobile pay-TV systems was developed. It requires only one broadcasted authentication message from a HES to subscribers if there are many requests for the same service in a short period of time.However, later it was revealed that the one-to-many authentication scheme was vulnerable to an impersonation attack, i.e., an attacker without any secret key could not only impersonate the mobile set(MS) to the HES but also impersonate the HES to the MS. Then, a new scheme has been recently introduced for secure operations of one-to-many authentication. However, as shown in this paper, the recent work for one-to-many authentication is still vulnerable to the impersonation attack. To mitigate this attack, in this paper, a new scheme for one-tomany authentication using bilinear pairing is proposed that eliminates security weaknesses in the previous work.Results obtained depict that the new improved scheme in this paper provides better performance in terms of computation and communication overheads.

关键词： authentication bilinear pairing conditional access system mobile pay-TV

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关于情感设计发展的研究

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设计 2005年第5期21卷 28-29页

作者： Seonghye Ahn Sangmyung University School of Cartoon ＆ Animation

本文着重介绍了现代设计中情感设计的发展和运用。首先作者介绍了人类情感的产生，以及图像、声音对于情感交流传递的作用和原理，由此深入介绍情感设计的发展。接着作者从人的五感对于情感的作用出发，详细介绍其在情感交流中的原理、... 详细信息

本文着重介绍了现代设计中情感设计的发展和运用。首先作者介绍了人类情感的产生，以及图像、声音对于情感交流传递的作用和原理，由此深入介绍情感设计的发展。接着作者从人的五感对于情感的作用出发，详细介绍其在情感交流中的原理、运用、和延伸，并最终认为融合每一个独立情感元素互为作用是以后设计所必须研究的。

关键词：情感设计情感交流现代设计作者原理

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Research on Teaching Method of Children’s Image Cognition Based on AR Technology

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Journal on Internet of Things 2022年第4期4卷 197-213页

作者： Jie Gui Joohyun Suh Jiangsu Vocational College of Electronics and Information Huai’an223003China Completion of Doctoral Course Sangmyung UniversitySeoul03016Korea Department of Family Welfare Sangmyung UniversitySeoul03016Korea

In this paper,the research on the teaching method of children’s image cognition based on AR technology is carried out.By analyzing the principle ofARtechnology to recognize images,we understand thatARtechnology can promote children’s image cognition,and this teaching method is in line with the Tower of Experience theory.It further analyzes the current situation of children’s image cognition teaching with simple teaching methods,backward AR teaching tools,and poor perception of teaching objects.Teachers’traditional image teaching methods cannot effectively and efficiently improve children’s image cognition.Therefore,based on AR technology,two commonly used image cognition teaching methods are proposed:AR interactive picture book education andARinteractive game education.Both of these educational methods can improve children’s ability to recognize images.

关键词： AR image cognition teaching method AR interactive picture book AR interactive games

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罗密作品

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上海纺织科技 2019年第5期47卷 I0035-I0035页

作者：罗密江西服装学院服装设计学院 Sangmyung University

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文淑丽作品

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上海纺织科技 2019年第5期47卷 I0019-I0019页

作者：文淑丽江西服装学院服装设计学院 Sangmyung University

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Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification

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Computers, Materials & Continua 2018年第5期55卷 243-254页

作者： Ya Tu Yun Lin Jin Wang Jeong-Uk Kim College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha 410114China School of Information Engineering Yangzhou UniversityYangzhou 225009China Department of Energy Grid Sangmyung UniversitySeoulKorea

Deep Learning(DL)is such a powerful tool that we have seen tremendous success in areas such as Computer Vision,Speech Recognition,and Natural Language Processing.Since Automated Modulation Classification(AMC)is an important part in Cognitive Radio Networks,we try to explore its potential in solving signal modulation recognition problem.It cannot be overlooked that DL model is a complex model,thus making them prone to over-fitting.DL model requires many training data to combat with over-fitting,but adding high quality labels to training data manually is not always cheap and accessible,especially in real-time system,which may counter unprecedented data in dataset.Semi-supervised Learning is a way to exploit unlabeled data effectively to reduce over-fitting in DL.In this paper,we extend Generative Adversarial Networks(GANs)to the semi-supervised learning will show it is a method can be used to create a more dataefficient classifier.

关键词： Deep Learning automated modulation classification semi-supervised learning generative adversarial networks

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Evaluation of the Toxic Effects of Heavy Metals and Endocrine-Disrupting Chemicals to the Marine Dinoflagellate Prorocentrum minimum

Evaluation of the Toxic Effects of Heavy Metals and Endocrin...

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2012年环境污染与大众健康学术会议

作者： Vinitha Ebenezer Jang-Seu Ki Department of Green Life Science Sangmyung University Seoul-110-743 South Korea

Microalgae are bioindicators for risk assessment and development of environmental regulations for heavy metals and other emerging toxicants in marine environments. In this study, we evaluated the toxic effects of the heavy metals Cd, Pb, and Ni, and the endocrine disrupting chemicals （EDCs） polychlorinated biphenyl （PCB）, endosulfan （ES）, and metolachlor （MC） on the marine dinoflagellate Prorocentrum minimum. Toxicity assays showed that cell count and chlorophyll a level decreased with increased toxicant concentrations in all cases. EC 50 -72 h for the test chemicals were as follows: Cd, 2.78 mg L -1;Pb, 3.49 mg L -1;Ni, 0.64 mg L -1;PCB, 8.0 μg L -1;ES, 0.025 mg L -1;MC, 0.079 mg L -1 . These data suggested that the sensitivity pattern of P. minimum to heavy metals was Ni ＞ Cd ＞ Pb;three EDCs were mostly sensitive, and the PCB was highly toxic. This study provides essential data on the toxic effects of heavy metals and newly introduced EDCs on marine dinoflagellate.

关键词： Dinoflagellate Prorocentrum ecotoxicity assessment EC50 , heavy metals EDCs

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Improved VGG Model for Road Traffic Sign Recognition

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Computers, Materials & Continua 2018年第10期57卷 11-24页

作者： Shuren Zhou Wenlong Liang Junguo Li Jeong-Uk Kim Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science&TechnologyChangsha410114China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Department of Energy Grid Sangmyung UniversitySeoul110743Korea

Road traffic sign recognition is an important task in intelligent transportation system.Convolutional neural networks(CNNs)have achieved a breakthrough in computer vision tasks and made great success in traffic sign classification.In this paper,it presents a road traffic sign recognition algorithm based on a convolutional neural network.In natural scenes,traffic signs are disturbed by factors such as illumination,occlusion,missing and deformation,and the accuracy of recognition decreases,this paper proposes a model called Improved VGG(IVGG)inspired by VGG model.The IVGG model includes 9 layers,compared with the original VGG model,it is added max-pooling operation and dropout operation after multiple convolutional layers,to catch the main features and save the training time.The paper proposes the method which adds dropout and Batch Normalization(BN)operations after each fully-connected layer,to further accelerate the model convergence,and then it can get better classification effect.It uses the German Traffic Sign Recognition Benchmark(GTSRB)dataset in the experiment.The IVGG model enhances the recognition rate of traffic signs and robustness by using the data augmentation and transfer learning,and the spent time is also reduced greatly.

关键词： Intelligent transportation traffic sign deep learning GTSRB data augmentation

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Developing a Model for Controlling Internal Corrosion in Water Supply System

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Journal of Water Resource and Protection 2017年第2期9卷 183-192页

作者： Byung-Gi Hwang Department of Civil Engineering Sangmyung University Seoul South Korea

A model was developed to generate charts that fit the conditions as diverse temperatures and ionic strengths, and that estimate the diversified state of water. The chart can be used as a tool for controlling corrosive waters resulted in internal corrosion and the model producing charts composed of a number of sub modules, and each module incorporated parameters including acidity, alkalinity, pH, and calcium ion. Utilizing the chart water quality of the raw water in G water purification works was estimated to be unsaturated and Langelier index becomes -1.4 which means that the water is highly corrosive and calcium carbonate would not be precipitated. Thus, the water requires treatment as the injection of water stabilizing chemicals to promote an oversaturated (protective) condition. As a result of adding 5 mg/L of lime, it is possible to be precipitated with 5 mg/L, and the water becomes noncorrosive. In addition, when 5 mg/L of caustic soda is added as a conditioning chemical, it signifies to be precipitated with 9 mg/L, and the water also turns out to be largely noncorrosive. Both chemicals are possible to use for the water to be favorable for the formation of a protective film. Optimum injection rate for controlling corrosion can be found by repeating the procedures until the well-conditioned water criteria are satisfied.

关键词： Model Sub Module Corrosive Water Stabilization Chemicals Langerlier Index

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