检索结果-南通市图书馆

Elevating Image Steganography:A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第5期79卷 2923-2943页

作者： Muhammad Zaman Ali Omer Riaz Hafiz Muhammad Hasnain Waqas Sharif Tenvir Ali gyu sang choi Department of Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science The Islamia University of BahawalpurBahawalpur63100Pakistan School of Computer Science and Engineering Yeungnam UniversityGyeongbuk38541Korea

In today’s rapidly evolving landscape of communication technologies,ensuring the secure delivery of sensitive data has become an essential *** overcome these difficulties,different steganography and data encryption methods have been proposed by researchers to secure *** of the proposed steganography techniques achieve higher embedding capacities without compromising visual imperceptibility using LSB *** this work,we have an approach that utilizes a combinationofMost SignificantBit(MSB)matching andLeast Significant Bit(LSB)*** proposed algorithm divides confidential messages into pairs of bits and connects them with the MSBs of individual pixels using pair matching,enabling the storage of 6 bits in one pixel by modifying a maximum of three *** proposed technique is evaluated using embedding capacity and Peak Signal-to-Noise Ratio(PSNR)score,we compared our work with the Zakariya scheme the results showed a significant increase in data concealment *** achieved results of ourwork showthat our algorithmdemonstrates an improvement in hiding capacity from11%to 22%for different data samples while maintaining a minimumPeak Signal-to-Noise Ratio(PSNR)of 37 *** findings highlight the effectiveness and trustworthiness of the proposed algorithm in securing the communication process and maintaining visual integrity.

关键词： Steganography most significant bit(MSB) least significant bit(LSB) peak signal-to-noise ratio(PSNR)

Intelligent Service Search Model Using Emerging Technologies

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第10期77卷 1165-1181页

作者： Farhan Amin gyu sang choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

In recent years,the Internet of Things(IoT)has played a vital role in providing various services to users in a smart ***,searching for services,objects,data,and frameworks remains a *** technological advancements in Cyber-Physical Systems(CPSs)and the Social Internet of Things(SIoT)open a new era of ***,we propose a Cyber-Physical-Social Systems(CPSs)for service ***,service search and object discovery operation carries with the suitable selection of friends in the *** proposed model constructs a graph and performs social network analysis(SNA).We suggest degree centrality,clustering,and scalefree emergence and show that a rational selection of friends per service exploration increases the overall network *** efficiency of our proposed system is verified using real-world datasets based on service processing time,path length,giant component,and network *** simulation results proved that our proposed system is efficient,robust,and scalable.

关键词： Internet of Things Social Internet of Things Cyber-Physical Social systems smart cities service search smart cities

Model for Generating Scale-Free Artificial Social Networks Using Small-World Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第12期73卷 6367-6391页

作者： Farhan Amin gyu sang choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

The Internet of Things(IoT)has the potential to be applied to social networks due to innovative characteristics and sophisticated solutions that challenge traditional *** network analysis(SNA)is a good example that has recently gained a lot of scientific *** has its roots in social and economic research,as well as the evaluation of network science,such as graph *** in this area have subverted predefined theories,offering revolutionary ones regarding interconnected networks,and they have highlighted the mystery of six degrees of separation with confirmation of the small-world *** motivation of this study is to understand and capture the clustering properties of large networks and social *** present a network growth model in this paper and build a scale-free artificial social network with controllable clustering *** random walk technique is paired with a triangle generating scheme in our proposed *** a result,the clustering controlmechanism and preferential attachment(PA)have been *** research builds on the present random walk *** took numerous measurements for validation,including degree behavior and the measure of clustering decay in terms of node degree,among other ***,we conclude that our suggested random walk model is more efficient and accurate than previous state-of-the-art methods,and hence it could be a viable alternative for societal evolution.

关键词： Social networks small-world networks network generation models graph theory random walk network design social network analysis

Advanced Community Identification Model for Social Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第11期69卷 1687-1707页

作者： Farhan Amin Jin-Ghoo choi gyu sang choi Department of Computer Engineering Gachon UniversityGyeonggi-do13120Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Community detection in social networks is a hard problem because of the size,and the need of a deep understanding of network structure and *** several methods with significant effort in this direction have been devised,an outstanding open problem is the unknown number of communities,it is generally believed that the role of influential nodes that are surrounded by neighbors is very *** addition,the similarity among nodes inside the same cluster is greater than among nodes from other ***,the global and local methods of community detection have been getting more ***,in this study,we propose an advanced communitydetection model for social networks in order to identify network communities based on global and local *** proposed model initially detects the most influential nodes by using an Eigen score then performs local expansion powered by label *** process is conducted with the same color till nodes reach maximum ***,the communities are formed,and a clear community graph is displayed to the *** proposed model is completely parameter-free,and therefore,no prior information is required,such as the number of communities,*** perform simulations and experiments using well-known synthetic and real network benchmarks,and compare them with well-known state-of-the-art *** results prove that our model is efficient in all aspects,because it quickly identifies communities in the ***,it can easily be used for friendship recommendations or in business recommendation systems.

关键词： Community detection social network analysis complex networks

Primary sebaceous carcinoma of lacrimal gland: A case report and review of literature

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Clinical Cases 2018年第16期6卷 1189-1193页

作者： Hyojung Park sang gyu choi Departments of Radiation Oncology Dankook University Hospital Dankook University College of Medicine

BACKGROUND Primary sebaceous carcinoma of lacrimal gland(SCLG) is extremely rare. Due to its clinical characteristics, it is often misdiagnosed. It is known to be aggressive so delay in diagnosis can increase the chance of local recurrence and metastasis. We report a case of primary *** SUMMARY A 75-year-old man was referred with a painful swelling in the right eyelid. Computed tomography scan demonstrates a 2.6 cm mass in upper outer quadrant of right orbit. After the incisional biopsy of the mass, he was diagnosed with squamous cell carcinoma of lacrimal gland. A right orbital exenteration, cervical lymph node dissection was performed. There was no involvement of the overlying periorbital skin, eyelid, or conjunctiva. Histological examination of the exenteration specimen showed tumor arising from the lacrimal gland, which had been entirely replaced by sebaceous carcinoma with sarcomatous and squamous differentiation. Neoplastic cells which were large and contained prominent nucleoli. Focal tumor remained in the posterior resection margin. Patient underwent adjuvant radiotherapy, total dose of 56 Gy with doseper-fraction 2 Gy to primary lesion. There has been no sign of recurrence until 2-years *** We report a rare case of sebaceous carcinoma arising from the lacrimal gland. Accurate diagnosis of SCLG is important for appropriate treatment and prognosis prediction.

关键词： Sebaceous carcinoma Lacrimal gland Case report Radiotherapy

Big Data Analytics Using Graph Signal Processing

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第1期74卷 489-502页

作者： Farhan Amin Omar M.Barukab gyu sang choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Computing and Information Technology-Rabigh King Abdulaziz UniversityJeddahSaudi Arabia

The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity increases and our ability to analyze them using the current state of the art is at severe risk of failing to keep ***,this paper initiates a discussion on graph signal processing for large-scale data *** first provide a comprehensive overview of core ideas in Graph signal processing(GSP)and their connection to conventional digital signal processing(DSP).We then summarize recent developments in developing basic GSP tools,including methods for graph filtering or graph learning,graph signal,graph Fourier transform(GFT),spectrum,graph frequency,*** filtering is a basic task that allows for isolating the contribution of individual frequencies and therefore enables the removal of *** then consider a graph filter as a model that helps to extend the application of GSP methods to large *** show the suitability and the effeteness,we first created a noisy graph signal and then applied it to the *** several rounds of simulation *** see that the filtered signal appears to be smoother and is closer to the original noise-free distance-based *** using this example application,we thoroughly demonstrated that graph filtration is efficient for big data analytics.

关键词： Big data data science big data processing graph signal processing social networks

Hyperchaos and MD5 Based Efficient Color Image Cipher

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第7期72卷 1645-1670页

作者： Muhammad Samiullah Waqar Aslam Saima Sadiq Arif Mehmood gyu sang choi Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

While designing and developing encryption algorithms for text and images,the main focus has remained on *** has led to insufficient attention on the improvement of encryption efficiency,enhancement of hyperchaotic sequence randomness,and dynamic DNA-based *** this regard,a new symmetric block cipher scheme has been *** uses dynamic DNA-based S-box connected with MD5 and a hyperchaotic system to produce confusion and diffusion for encrypting color *** proposed scheme supports various size color *** generates three DNA based Sboxes for substitution namely DNA_1_s-box,DNA_2_s-box and DNA_3_sbox,each of size 16×***,the 4D hyperchaotic system followed by MD5 is employed in a novel way to enhance *** three DNAbased S-boxes are generated from real DNA sequences taken from National Center for Biotechnology Information(NCBI)databases and are dependent on the mean intensity value of an input image,thus effectively introducing content-based ***,Conservative Site-Specific Recombination(CSSR)is applied on the output DNA received from DNA based *** experimental results indicate that the proposed encryption scheme is more secure,robust,and computationally efficient than some of the recently published similar *** computational efficient,our proposed scheme is feasible on many emergent resource-constrained platforms.

关键词： Block cipher substitution permutation diffusion confusion

Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第7期76卷 861-879页

作者： Sara Khalid Jamal Hussain Shah Muhammad Sharif Muhammad Rafiq gyu sang choi Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Game and Mobile Engineering Keimyung UniversityDaegu42601Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Globally traffic signs are used by all countries for healthier traffic flow and to protect drivers and ***,traffic signs have been of great importance for every civilized country,which makes researchers give more focus on the automatic detection of traffic *** these traffic signs is challenging due to being in the dark,far away,partially occluded,and affected by the lighting or the presence of similar *** innovative traffic sign detection method for red and blue signs in color images is proposed to resolve these *** technique aimed to devise an efficient,robust and accurate *** attain this,initially,the approach presented a new formula,inspired by existing work,to enhance the image using red and green channels instead of blue,which segmented using a threshold calculated from the correlational property of the ***,a new set of features is proposed,motivated by existing *** and color features are fused after getting extracted on the channel of Red,Green,and Blue(RGB),Hue,Saturation,and Value(HSV),and YCbCr color models of ***,the set of features is employed on different classification frameworks,from which quadratic support vector machine(SVM)outnumbered the others with an accuracy of 98.5%.The proposed method is tested on German Traffic Sign Detection Benchmark(GTSDB)*** results are satisfactory when compared to the preceding work.

关键词： Traffic sign detection intelligent systems complexity vehicles color moments texture features

Brain Tumor Detection and Segmentation Using RCNN

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第6期71卷 5005-5020页

作者： Maham Khan Syed Adnan Shah Tenvir Ali Quratulain Aymen Khan gyu sang choi Department of Computer Science University of Engineering&TechnologyTaxila47080Pakistan Faculty of Computing The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongbuk38541Korea

Brain tumors are considered as most fatal *** reduce the risk of death,early identification of the disease is *** of the best available methods to evaluate brain tumors is Magnetic resonance Images(MRI).Brain tumor detection and segmentation are tough as brain tumors may vary in size,shape,and *** makes manual detection of brain tumors by exploring MRI a tedious job for radiologists and doctors’.So an automated brain tumor detection and segmentation is *** work suggests a Region-based Convolution Neural Network(RCNN)approach for automated brain tumor identification and segmentation using MR images,which helps solve the difficulties of brain tumor identification efficiently and *** methodology is based on the accurate and efficient selection of tumorous *** reduces computational complexity and *** have validated the designed experimental setup on a standard dataset,BraTS *** used binary evaluation matrices based on Dice Similarity Coefficient(DSC)and Mean Average Precision(mAP).The segmentation results are compared with state-of-the-art methodologies to demonstrate the effectiveness of the proposed *** suggested approach attained an averageDSC of 0.92 andmAP 0.92 for 10 patients,while on the whole dataset,the scores are DSC 0.89 and mAP *** following results clearly show the performance efficiency of the proposed methodology.

关键词： Brain tumor MRI preprocessing image segmentation brain tumor localization medical ML RCNN BraTS 2020 LGG HGG