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Articles 8431 - 8460 of 25627

Full-Text Articles in Computer Engineering

A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang Jun 2020

A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang

Journal of System Simulation

Abstract: The difficulties of designing a multi-strategy differential evolution (DE) algorithm are how to select the mutation strategies and allocate these strategies. A multi-strategy DE algorithm combined with the neighborhood search operator is proposed. The population is divided into three subpopulations according to the fitness values, and each subpopulation employs a different mutation strategy and parameter settings to complement the search ability, to balance the exploration and exploitation ability of the whole population. The subpopulation with the best fitness values employs the neighborhood search operator to exploit possible benefit information to guide the search. Extensive experiments are carried out on …

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Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming Jun 2020

Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming

Journal of System Simulation

Abstract: A FEM simulation of a high voltage circuit breaker under actual conditions is proposed to solve the high-frequency vibration and mechanical failure problems caused by the realistic factors such as the clearance and structural elasticity of the breaker. Its operating characteristic under the high power pulse load is analyzed and the influence of the spring stiffness and dimension error on the breaker’s motion characteristics was predicted. On the basis of the dependency of the breaker’s mechanical characteristics on potential faults, critical parameters and design defects are established. The new FEM of the a high-voltage circuit breaker will replace the …

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Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge Jun 2020

Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge

Journal of System Simulation

Abstract: Accurately predicting highway traffic holiday flow can provide important data for the emergency management of highway. The LSTM-SVR prediction model is established by using the theoretical framework of deep learning. The BP neural network is used to process the sample data, and the data features captured by LSTM are input into the SVR regression layer to realize the traffic flow prediction. Before and after the “Eleventh” Golden Week, the LSTM-SVR model was verified by using the traffic monitoring data of the intermodulation station in Lijiang City and the prediction results were compared with the others. It is found that …

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Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain, Xiaohong Zhang, Lanlan Sun Jun 2020

Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain, Xiaohong Zhang, Lanlan Sun

Journal of System Simulation

Abstract: In order to implement the information storage sharing service safely and efficiently, a blockchain storage sharing scheme supporting the attribute proxy re-encryption and keyword retrieval is proposed. By the nodes classification and ciphertext storage separation, the anti-collusion attack is better implemented. The smart contract design of the information transaction is introduced and the information sharing parties can communicate spontaneously without the participation of the central organization. By the attribute-based proxy re-encryption algorithm, the information owner can share the information with other users without re-encrypting, uploading, and downloading information, and relieves the burden of the high-frequency access of the cloud …

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Similarity Evaluation Based On Contextual Modelling, Mohamed H. Haggag, Marwa M. A. Elfattah, Ahmed Mohammed Ahmed Jun 2020

Similarity Evaluation Based On Contextual Modelling, Mohamed H. Haggag, Marwa M. A. Elfattah, Ahmed Mohammed Ahmed

Future Computing and Informatics Journal

Measuring Text similarity problem still one of opened fields for research area in natural language processing and text related research such as text mining, Web page retrieval, information retrieval and textual entailment. Several measures have been developed for measuring similarity between two texts: such as Wu and Palmer, Leacock and Chodorow measure and others . But these measures do not take into consideration the contextual information of the text .This paper introduces new model for measuring semantic similarity between two text segments. This model is based on building new contextual structure for extracting semantic similarity. This approach can contribute in …

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Adaptive Concept Map Approach For Software Requirements Validation, Ayman Khedr, Ahmed A. Ahmed, Sherif Kholeif Jun 2020

Adaptive Concept Map Approach For Software Requirements Validation, Ayman Khedr, Ahmed A. Ahmed, Sherif Kholeif

Future Computing and Informatics Journal

Requirements validation is one of the most significant and critical parts of the requirements engineering. This activity ensures that the set of requirements is accurate, right, complete, and consistent. Requirements validation is considered as the key activity because mistakes found in a software requirements document can lead to extensive rework costs when they are discovered either during development or after the system is in service. There are some commonly used bases to validate user requirements such as: Natural language, Design description languages, Graphical notations and Mathematical specification languages. Whereas the graphical notations are the most suitable means to be used …

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Generic Approach For Customer Management System, Esraa A. Afify, Mona A. Kadry Jun 2020

Generic Approach For Customer Management System, Esraa A. Afify, Mona A. Kadry

Future Computing and Informatics Journal

Customer Complaints are considered as valuable and significant information that can be utilized to attain customer satisfaction. Accordingly, a complaint handling system can address customer dissatisfaction and prevent similar problems from reoccurring. The aim of this paper is to investigate the level of relationship between the complaints and complaint behaviours of the customers who benefit from the services offered. In this paper, a generic approach for the Customer Complaint Management System is pro posed to have the ability to minimize customers’ dissatisfaction and on the other hand to motivate customers to take part of controlling the quality of the services …

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A General Approach Students’ Attitude Towards To Virtual Reality Technology In Distance Education Environment, Osama Emam, Mohamed Abdelsalam, Ayman E. Khedr, Yehia Helmy Jun 2020

A General Approach Students’ Attitude Towards To Virtual Reality Technology In Distance Education Environment, Osama Emam, Mohamed Abdelsalam, Ayman E. Khedr, Yehia Helmy

Future Computing and Informatics Journal

E-learning has become a prominent and effective role in recent years. The factor of place and time became ineffective in the educational process. So that anyone can learn anywhere in the world. The educational services that benefit the learner during the educational process as well as the factors of assistance are important elements that help in the success of the educational process in the environment of e-learning. The more these services, the greater the benefit from e-learning. But its way of reviewing electronic content is still ineffective. Therefore it was necessary to create a suitable environment for the learner is …

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Improved Rsa Security Using Chinese Remainder Theorem And Multiple Keys, Hatem Abdulkader, Rasha Samir, Reda Hussien Jun 2020

Improved Rsa Security Using Chinese Remainder Theorem And Multiple Keys, Hatem Abdulkader, Rasha Samir, Reda Hussien

Future Computing and Informatics Journal

Now a days, have a great dependence on computer and network and the security of computer related to the whole world and everybody. Cryptography is the art and science of achieving security by encoding message to make them non readable, to secure data information transmits over the network, In this paper introduced modified RSA approach based on multi keys and Chinese remainder theorem (CRT), which RSA algorithm is asymmetric key encryption technique. The objective of this Technique is to provide secure transmission of data between any networks. Which is the Network security is an activity which is designed to provide …

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Evaluating And Improving The Seu Reliability Of Artificial Neural Networks Implemented In Sram-Based Fpgas With Tmr, Brittany Michelle Wilson Jun 2020

Evaluating And Improving The Seu Reliability Of Artificial Neural Networks Implemented In Sram-Based Fpgas With Tmr, Brittany Michelle Wilson

Theses and Dissertations

Artificial neural networks (ANNs) are used in many types of computing applications. Traditionally, ANNs have been implemented in software, executing on CPUs and even GPUs, which capitalize on the parallelizable nature of ANNs. More recently, FPGAs have become a target platform for ANN implementations due to their relatively low cost, low power, and flexibility. Some safety-critical applications could benefit from ANNs, but these applications require a certain level of reliability. SRAM-based FPGAs are sensitive to single-event upsets (SEUs), which can lead to faults and errors in execution. However there are techniques that can mask such SEUs and thereby improve the …

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Dynamic Reconfigurable Real-Time Video Processing Pipelines On Sram-Based Fpgas, Andrew Elbert Wilson Jun 2020

Dynamic Reconfigurable Real-Time Video Processing Pipelines On Sram-Based Fpgas, Andrew Elbert Wilson

Theses and Dissertations

For applications such as live video processing, there is a high demand for high performance and low latency solutions. The configurable logic in FPGAs allows for custom hardware to be tailored to a specific video application. These FPGA designs require technical expertise and lengthy implementation times by vendor tools for each unique solution. This thesis presents a dynamically configurable topology as an FPGA overlay to deploy custom hardware processing pipelines during run-time by utilizing dynamic partial reconfiguration. Within the FPGA overlay, a configurable topology with a routable switch allows video streams to be copied and mixed to create complex data …

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Modeling And Simulation Of A 20kv Ultra-Fast Dc Circuit Breaker For Electric Shipboard Applications, Trevor Arvin, Jiangbiao He, Nathan Weise, Tiefu Zhao Jun 2020

Modeling And Simulation Of A 20kv Ultra-Fast Dc Circuit Breaker For Electric Shipboard Applications, Trevor Arvin, Jiangbiao He, Nathan Weise, Tiefu Zhao

Electrical and Computer Engineering Faculty Research and Publications

A novel hybrid circuit breaker for medium voltage dc (MVDC) electric shipboard power systems is proposed. The breaker combines the benefits of the efficiency of a mechanical breaker and the interruption speed of a solid-state breaker. The proposed breaker utilizes a fast-ramping current source with a fast-actuating vacuum interrupter (VI) to provided ultra-fast response time and high on-state efficiency. During normal operation, nominal load current flows through the vacuum interrupter in the main conduction branch, providing a low-resistance path with negligible losses. During a fault, a current zero crossing is achieved by the use of a controllable resonant current source …

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Approximate Computing For Application Performance In Heterogenous Systems, Himadri Sekhar Paul, Arijit Mukherjee, Arpan Pal, Ansuman Banerjee Jun 2020

Approximate Computing For Application Performance In Heterogenous Systems, Himadri Sekhar Paul, Arijit Mukherjee, Arpan Pal, Ansuman Banerjee

Patents

A system and method for determining a configuration of a plurality of tasks to meet the specified deadline of a linear workflow of a real - time heterogeneous network . Often times , while meeting expected application performance in the heterogeneous network , it may possible to have graceful degradation of quality for ensuring timing constraints at the same time . In a multi - layered architecture , where each layer is equipped with multiple computational resources , the time optimization for each of the plurality of tasks can be achieved through approximate computing and analyzing all possible configurations of …

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Distributed Firewall For Iot, Ryan Lund, Anthony Fenzl, Chelsea Villanueva Jun 2020

Distributed Firewall For Iot, Ryan Lund, Anthony Fenzl, Chelsea Villanueva

Computer Science and Engineering Senior Theses

Minimal local resources, lack of consistency in low level protocols and market pressures contribute to IoT devices being more vulnerable than traditional computing devices. These devices not only have a wide variety of processors and implementations, but they often serve different purposes and generate unique network traffic. Current IoT network security solutions fail to account for and handle both the scale at which IoT devices can be deployed and the heterogeneous nature of the traffic they produce. In order to accommodate these differences and improve on current solutions, we propose the implementation of a microsegmented firewall for IoT networks. Unlike …

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Action Recognition Using The Motion Taxonomy, Maxat Alibayev Jun 2020

Action Recognition Using The Motion Taxonomy, Maxat Alibayev

USF Tampa Graduate Theses and Dissertations

In the last years, modern action recognition frameworks with deep architectures have achieved impressive results on the large-scale activity datasets. All state-of-the-art models share one common attribute: two-stream architectures. One deep model takes RGB frames, while the other model is fed with pre-computed optical flow vectors. The outputs of both models are combined to be used as a final probability distribution for the action classes. When comparing the results of individual models with the fused model, it is common to see that that latter method is more superior. Researchers explain that phenomena with the fact that optical flow vectors serve …

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Sustainability Action Tracker, Gladys Hilerio, Isabelle Termaat, Patricia Ornelas Jauregui Jun 2020

Sustainability Action Tracker, Gladys Hilerio, Isabelle Termaat, Patricia Ornelas Jauregui

Computer Science and Engineering Senior Theses

The Center for Sustainability at Santa Clara University is actively looking for ways to involve students in sustainable actions and accountability. With our help, they would like to create a site where students and faculty may track their sustainable behavior. This site will provide users with all the information they need to live a sustainable life, and include milestones in the form of progress bars and badges. The Center for Sustainability will be able to collect the data from this site to evaluate the progress of our university as well as the success of the site. Our motivation for this …

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Sdhome: Securing Fast Home Networks, Christopher Batula, Holden Gordon, Tianyi Zhao Jun 2020

Sdhome: Securing Fast Home Networks, Christopher Batula, Holden Gordon, Tianyi Zhao

Computer Science and Engineering Senior Theses

Distributed denial of service (DDoS) is a highly discussed network attack in Software Defined Networks. Attacks such as the Mirai Botnet threaten to compromise portion of large networks, including home users. Today, corporations secure their network using enterprise level software to protest their network from DDoS attacks . But their solutions are meant for large networks and depend on expensive hardware. There are few security solutions for home users and most are expensive or require a subscription for full protection. In this paper, we propose a new solution in the form of a plug and play device that will allow …

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Antlion Optimization And Boosting Classifier For Spam Email Detection, Amany A. Naem, Neveen I. Ghali Prof., Afaf A. Saleh Jun 2020

Antlion Optimization And Boosting Classifier For Spam Email Detection, Amany A. Naem, Neveen I. Ghali Prof., Afaf A. Saleh

Future Computing and Informatics Journal

Spam emails are not necessary, though they are harmful as they include viruses and spyware, so there is an emerging need for detecting spam emails. Several methods for detecting spam emails were suggested based on the methods of machine learning, which were submitted to reduce non relevant emails and get results of high precision for spam email classification. In this work, a new predictive method is submitted based on antlion optimization (ALO) and boosting termed as ALO-Boosting for solving spam emails problem. ALO is a computational model imitates the preying technicality of antlions to ants in the life cycle. Where …

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A New Online Scheduling Approach For Enhancing Qos In Cloud, Aida A. Nasr, Nirmeen A. El-Bahnasawy, Gamal Attiya, Ayman El-Sayed Jun 2020

A New Online Scheduling Approach For Enhancing Qos In Cloud, Aida A. Nasr, Nirmeen A. El-Bahnasawy, Gamal Attiya, Ayman El-Sayed

Future Computing and Informatics Journal

Quality-of-Services (QoS) is one of the most important requirements of cloud users. So, cloud providers continuously try to enhance cloud management tools to guarantee the required QoS and provide users the services with high quality. One of the most important management tools which play a vital role in enhancing QoS is scheduling. Scheduling is the process of assigning users’ tasks into available Virtual Machines (VMs). This paper presents a new task scheduling approach, called Online Potential Finish Time (OPFT), to enhance the cloud data-center broker, which is responsible for the scheduling process, and solve the QoS issue. The main idea …

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Automatic Labeling Of Hidden Web Data Using Multi-Heuristics Annotator, Umamageswari Baskaran, R. Kalpana Jun 2020

Automatic Labeling Of Hidden Web Data Using Multi-Heuristics Annotator, Umamageswari Baskaran, R. Kalpana

Future Computing and Informatics Journal

Hidden web contains huge amount of high quality data which are not indexed to search engines. Hidden web refers to web pages which are generated dynamically by embedding backend data matching the search keywords, in server-side templates. They are created for human consumption and makes automated processing cumbersome since structured data is embedded within unstructured HTML tags. In order to enable machine processing, structured data must be detected, extracted and annotated. Many heuristic based approaches DeLa [1], MSAA [2] are available in the literature to perform automatic annotation. Most of these techniques fail if data values didn't contain labels present …

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A Systematic Review For The Determination And Classification Of The Crm Critical Success Factors Supporting With Their Metrics, Mahmoud Abd Ellatif, Marwa Salah Farhan, Amira Hassan Abed Jun 2020

A Systematic Review For The Determination And Classification Of The Crm Critical Success Factors Supporting With Their Metrics, Mahmoud Abd Ellatif, Marwa Salah Farhan, Amira Hassan Abed

Future Computing and Informatics Journal

The successful implementation of customer relationship management (CRM) is not easy and seems to be a complex task. Almost about 70% of all CRM implementation projects fail to achieve their expected objectives. Therefore, most researchers and information systems developers concentrate on the critical success factors approach which can enhance the success of CRM implementation and turn the failure and drawbacks faced CRM into successful CRM systems adoption and implementation. In this paper, the number of the previous studies is reviewed to demonstrate the barriers behind this high failure rate. In addition, an extensive review is conducted in order to identify …

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Stage – Specific Predictive Models For Main Prognosis Measures Of Breast Cancer, Ahmed Attia Said, Laila A. Abd-Elmegid, Sherif Kholeif, Ayman Abdelsamie Gaber Jun 2020

Stage – Specific Predictive Models For Main Prognosis Measures Of Breast Cancer, Ahmed Attia Said, Laila A. Abd-Elmegid, Sherif Kholeif, Ayman Abdelsamie Gaber

Future Computing and Informatics Journal

Breast cancer is a malignant tumor that starts in the cells of the breast. A malignant tumor is a group of cancer cells that can grow into near tissues or invading the distant areas of the body. The disease occurs almost entirely in women, but men can get it, too. Survival rate, recurrence detection and disease-free survival rate (DFS) are the main patient's outcome and prognosis measures. Breast cancer outcomes are vary among different stages of the disease. There are five stages of breast cancer named as 0, 1, 2, 3, and 4. Prognosis helps doctors to save patients' lives …

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Applying Spatial Intelligence For Decision Support Systems, Amira Idrees, Mohamed H. Ibrahim Jun 2020

Applying Spatial Intelligence For Decision Support Systems, Amira Idrees, Mohamed H. Ibrahim

Future Computing and Informatics Journal

Data mining is one of the vital techniques that could be applied in different fields such as medical, educational and industrial fields. Extracting patterns from spatial data is very useful to be used for discovering the trends in the data. However, analyzing spatial data is exhaustive due to its details as it is related to locations with a special representation such as longitude and latitude. This paper aims at proposing an approach for applying data mining techniques over spatial data to find trends in the data for decision support. Basic information considering spatial data is presented with presenting the proposed …

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An Qos Based Multifaceted Matchmaking Framework For Web Services Discovery, G. Sambasivam Jun 2020

An Qos Based Multifaceted Matchmaking Framework For Web Services Discovery, G. Sambasivam

Future Computing and Informatics Journal

With the increasing demand, the web service has been the prominent technology for providing good solutions to the interoperability of different kind of systems. Web service supports mainly interoperability properties as it is the major usage of this promising technology. Although several technologies had been evolved before web service technology and this has more advantage of other technologies. This paper has concentrated mainly on the Multifaceted Matchmaking framework for Web Services Discovery using Quality of Services parameters. Traditionally web services have been discovered only with the functional properties like input, output, precondition and effect. Nowadays there is an increase in …

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Medical Image Retrieval Using Self-Organising Map On Texture Features, Shashwati Mishra Jun 2020

Medical Image Retrieval Using Self-Organising Map On Texture Features, Shashwati Mishra

Future Computing and Informatics Journal

The process of capturing, transfer and sharing of information in the form of digital images have become easier due to the use of advanced technologies. Retrieval of desired images from these huge collections of image databases is one of the popular research areas and has its applications in various fields. An image set consists of images containing objects of different colours, shapes, orientations and sizes. The surface texture of the object in an image may also vary from another object in a different image. These factors make the process of image retrieval a difficult one. In this paper, Self-Organising Map …

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Benign And Malignant Breast Cancer Segmentation Using Optimized Region Growing Technique, S. Punitha, A. Amuthan, K. Suresh Joseph Jun 2020

Benign And Malignant Breast Cancer Segmentation Using Optimized Region Growing Technique, S. Punitha, A. Amuthan, K. Suresh Joseph

Future Computing and Informatics Journal

Breast cancer is one of the dreadful diseases that affect women globally. The occurrences of breast masses in the breast region are the main cause for women to develop a breast cancer. Early detection of breast mass will increase the survival rate of women and hence developing an automated system for detection of the breast masses will support radiologists for accurate diagnosis. In the pre-processing step, the images are pre-processed using Gaussian filtering. An automated detection method of breast masses is proposed using an optimized region growing technique where the initial seed points and thresholds are optimally generated using a …

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A Genetic Algorithm For Service Flow Management With Budget Constraint In Heterogeneous Computing, Ahmed A. Abdulhamed, Medhat A. Tawfeek, Arabi E. Keshk Jun 2020

A Genetic Algorithm For Service Flow Management With Budget Constraint In Heterogeneous Computing, Ahmed A. Abdulhamed, Medhat A. Tawfeek, Arabi E. Keshk

Future Computing and Informatics Journal

Heterogeneous computing supply various and scalable resources for many applications requirements. Its structure is based on interconnecting machines with several processing capacity spread over networks. The scientific bioinformatics and many other applications demand service flow processing in which services have dependencies execution. The environments of this computing are suitable for huge computational needs that contains diverse groups of services. Managing and mapping services of service flow to the suitable candidates who provides the service is classified as NP-complete problem. The managing such interdependent services on heterogeneous environments also takes the Quality of Service (QoS) requirements from users into account. This …

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Time Series Forecasting Using Artificial Neural Networks Methodologies: A Systematic Review, Ahmed Tealab Jun 2020

Time Series Forecasting Using Artificial Neural Networks Methodologies: A Systematic Review, Ahmed Tealab

Future Computing and Informatics Journal

This paper studies the advances in time series forecasting models using artificial neural network methodologies in a systematic literature review. The systematic review has been done using a manual search of the published papers in the last 11 years (2006e2016) for the time series forecasting using new neural network models and the used methods are displayed. In the covered period in the study, the results obtained found 17 studies that meet all the requirements of the search criteria. Only three of the obtained proposals considered a process different to the autoregressive of a neural networks model. These results conclude that, …

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Fuzzy Clustering Based Transition Region Extraction For Image Segmentation, Priyadarsan Parida Jun 2020

Fuzzy Clustering Based Transition Region Extraction For Image Segmentation, Priyadarsan Parida

Future Computing and Informatics Journal

Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on robust extraction of transition regions. So, we have proposed clustering approach based transition region extraction method for image segmentation. The proposed method initially uses the local variance of the input image to get the variance feature image. Fuzzy C-means clustering is applied to the variance feature image to separate the transitional features from the feature image. Further, Otsu thresholding is applied to the transitional feature image to extract the transition region. For extracting the exact edge image, morphological …

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A Low Cost Autonomous Unmanned Ground Vehicle, Leckraj Nagowah Jun 2020

A Low Cost Autonomous Unmanned Ground Vehicle, Leckraj Nagowah

Future Computing and Informatics Journal

The aim of this project is to design and implement a low cost Autonomous Unmanned Ground Vehicle (AUGV), a vehicle that can be controlled remotely without an onboard human presence. The AUGV is also able to move autonomously while automatically detecting and avoiding obstacles. The vehicle also reads directions from QR codes, calculates the shortest path to its destination and autonomous move towards its final destination. A Raspberry Pi 3 has been used as the brain of the vehicle together with other components such as DC and Servo motors, Ultrasonic and Infrared sensors, webcam, batteries, power bank, motor controller and …

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