Open Access. Powered by Scholars. Published by Universities.®

Computer Sciences Commons™

Open Access. Powered by Scholars. Published by Universities.®

2018

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 2881 - 2910 of 2925

Full-Text Articles in Computer Sciences

Reconstruction Of Geometrical And Reflection Properties Of Surfaces By Using Structured Light Imaging Technique, Şükrü Ozan, Şevket Gümüşteki̇n Jan 2018

Reconstruction Of Geometrical And Reflection Properties Of Surfaces By Using Structured Light Imaging Technique, Şükrü Ozan, Şevket Gümüşteki̇n

Turkish Journal of Electrical Engineering and Computer Sciences

When a robust and dense surface reconstruction is aimed, structured light imaging techniques are usually much appreciated. In this paper we propose a method to reconstruct both geometrical and reflective properties of surfaces by using structured light imaging. We use a technique where a camera and a projector are both treated as viewing devices. They are calibrated in the same manner. Each visible point can be correctly located on both image planes without solving a correspondence problem; hence, a dense reconstruction can be obtained. Since both the camera and the projector are explicitly calibrated, lighting and viewing directions can be …

Go to article

Sign Language Recognition With Multi Feature Fusion And Ann Classifier, Sunitha Ravi, Maloji Suman, Polurie Venkata Vijay Kishore, Kiran Kumar Eepuri Jan 2018

Sign Language Recognition With Multi Feature Fusion And Ann Classifier, Sunitha Ravi, Maloji Suman, Polurie Venkata Vijay Kishore, Kiran Kumar Eepuri

Turkish Journal of Electrical Engineering and Computer Sciences

Extracting and recognizing complex human movements such as sign language gestures from video sequences is a challenging task. In this paper this kind of a difficult problem is approached with Indian sign language (ISL) videos. A new segmentation algorithm is developed by fusion of features from discrete wavelet transform (DWT) and local binary pattern (LBP). A 2D point cloud is formed from fused features, which represent the local hand shapes in consecutive video frames. We validate the proposed feature extraction model with state of the art features such as HOG, SIFT and SURF for each sign video on the same …

Go to article

Feature Extraction Using Sequential Cumulative Bin And Overlap Mean Intensity Foriris Classification, Ahmad Nazri Ali, Shahrel Azmin Suandi, Mohd Zaid Abdullah Jan 2018

Feature Extraction Using Sequential Cumulative Bin And Overlap Mean Intensity Foriris Classification, Ahmad Nazri Ali, Shahrel Azmin Suandi, Mohd Zaid Abdullah

Turkish Journal of Electrical Engineering and Computer Sciences

This paper examines an approach generalizing a variant of the local binary pattern (LBP) method for iris feature extraction. The proposed method employs two different LBP variants called the sequential cumulative bin and overlap mean intensity for projecting the one-dimensional local iris textures into a binary bit pattern. The assigned bit, either 1 or 0 as a bit code, replaces the original intensity value using a specific condition for the respective reference element. The ratio value from the total transition of 1 to 0 along the row axis represents the feature of each iris image. The extraction only utilizes a …

Go to article

Improved Method Of Heuristic Classification Of Vowels From An Acoustic Signal, Josef Krocil, Zdenek Machacek, Jiri Koziorek, Radek Martinek, Jan Nedoma, Marcel Fajkus Jan 2018

Improved Method Of Heuristic Classification Of Vowels From An Acoustic Signal, Josef Krocil, Zdenek Machacek, Jiri Koziorek, Radek Martinek, Jan Nedoma, Marcel Fajkus

Turkish Journal of Electrical Engineering and Computer Sciences

This paper describes research in the field of the improved methodology of the classification of vowels /a, a:/, /$\varepsilon$, $\varepsilon$:/, /ı, i:/, /o, o:/, and /u, u:/ (vowel symbols according to IPA, i.e. International Phonetic Alphabet). The aim is to develop an improved method enabling the automatic allocation of vowel symbols to the corresponding time segments of acoustic recordings of an undisturbed speech signal. The combined classification method is based on finding frequencies of the first two local maxims (formants) in a smoothed linear predictive amplitude spectrum (LPC, linear predictive coding) and zero-crossing values of each speech active voiced short-term …

Go to article

Temporal Specificity-Based Text Classification For Information Retrieval, Shafiq Ur Rehman Khan, Muhammd Arshad Islam, Muhammad Aleem, Muhammad Azhar Iqbal Jan 2018

Temporal Specificity-Based Text Classification For Information Retrieval, Shafiq Ur Rehman Khan, Muhammd Arshad Islam, Muhammad Aleem, Muhammad Azhar Iqbal

Turkish Journal of Electrical Engineering and Computer Sciences

Time is an important aspect in temporal information retrieval (TIR), a subfield of information retrieval (IR). Web search engines like Google or Bing are common examples of IR systems. An important constituent of a search engine is news retrieval, where users present their information needs in the form of temporal queries. Users are usually interested in news documents focusing on a particular time period. Existing search engines rarely fulfill the temporal information requirements as they ignore the temporal information available in the content of news documents, also known as document focus time. Furthermore, information related to multiple time periods in …

Go to article

Fpga Implementation Of A Low-Power And Area-Efficient State-Table-Based Compression Algorithm For Dslr Cameras, Mohd Rafi Lone, Najeeb Ud Din Hakim Jan 2018

Fpga Implementation Of A Low-Power And Area-Efficient State-Table-Based Compression Algorithm For Dslr Cameras, Mohd Rafi Lone, Najeeb Ud Din Hakim

Turkish Journal of Electrical Engineering and Computer Sciences

Small image acquisition devices like digital single lens reflex (DSLR) cameras most commonly use Joint Photographic Expects Group (JPEG) coding standard for lossy compression. Although JPEG is a simple coding standard, its compression efficiency is very low as compared to any typical state-of-the-art image coding standards like set partitioning in hierarchical trees (SPIHT). In this paper, a novel state-table-based SPIHT (STS) algorithm and its field programmable gate array (FPGA) implementation is proposed. The STS uses two small state-tables and two extremely small lists. The STS not only provides better compression efficiency than the state-of-the-art JPEG 2000 at high bit rates …

Go to article

Bvire Improved Algorithm For Indoor Localization Based On Rfid And A Linearregression Model, Noor Bahaaldin, Ergun Erçelebi̇ Jan 2018

Bvire Improved Algorithm For Indoor Localization Based On Rfid And A Linearregression Model, Noor Bahaaldin, Ergun Erçelebi̇

Turkish Journal of Electrical Engineering and Computer Sciences

Traditional indoor location technologies such as infrared technology and ultrasonic technology are complex, expensive, or having unsatisfactory location accuracy. Radio frequency identification (RFID) technologies are very popular in many areas since their costs are very low. The tag in such technologies acts as the transmitter, and the radio signal strength indicator (RSSI) information is measured at the reader. However, RSSI information suffers strictly from the multipath circumstance and circumferential elements. Therefore, the localization accuracy of the boundary will be affected severely. In order to solve this problem, we introduce the boundary virtual reference label (BVIRE) algorithm to well utilize RFID …

Go to article

Sar Image Time-Series Analysis Framework Using Morphological Operators And Global And Local Information-Based Linear Discriminant Analysis, Ufuk Sakarya, Caner Demi̇rpolat Jan 2018

Sar Image Time-Series Analysis Framework Using Morphological Operators And Global And Local Information-Based Linear Discriminant Analysis, Ufuk Sakarya, Caner Demi̇rpolat

Turkish Journal of Electrical Engineering and Computer Sciences

Fusion of spectral, spatial, and temporal information is an effective method used in many satellite remote sensing applications. On the other hand, one drawback of this fusion is an increase in complexity. In this paper, we focus on developing a fast and well-performed classification method for agricultural crops using time-series SAR data. In order to achieve this, a novel two-stage approach is proposed. In the first stage, a high-dimensional feature space is obtained using time-series dual-pol SAR data and morphological operators. Spectral, spatial, and temporal information is combined into a single high-dimensional feature space. In the second stage, a dimension …

Go to article

A Frequency-Tuned Magnetic Resonance-Based Wireless Power Transfer System With Near-Constant Efficiency Up To 24 Cm Distance, Seyi̇t Ahmet Si̇s, Selçuk Kavut Jan 2018

A Frequency-Tuned Magnetic Resonance-Based Wireless Power Transfer System With Near-Constant Efficiency Up To 24 Cm Distance, Seyi̇t Ahmet Si̇s, Selçuk Kavut

Turkish Journal of Electrical Engineering and Computer Sciences

In magnetic resonance-based wireless power transfer systems, the main challenge arises from varying distances between coils during power transfer because distance variations ultimately reduce the power transfer efficiency. Frequency-tuned wireless power transfer systems provide an almost-constant output power to the load up to a critical coupling distance. However, the critical coupling distance and power transfer efficiency are dependent on coil size, source, and load resistances. The purpose of this paper is to discuss this dependency with an equivalent circuit model, determine a suitable coil size for given design specifications, and set up a frequency-tuned system that is based on tracking …

Go to article

Controlling The Speed And Flux Of A Dual Stator Winding Induction Motor Using An Emotional Intelligent Controller And Integration Algorithm, Hojat Moayedirad, Mohammad Ali Shamsi Nejad Jan 2018

Controlling The Speed And Flux Of A Dual Stator Winding Induction Motor Using An Emotional Intelligent Controller And Integration Algorithm, Hojat Moayedirad, Mohammad Ali Shamsi Nejad

Turkish Journal of Electrical Engineering and Computer Sciences

The appropriate efficiency of a dual stator winding squirrel-cage induction motor (DSWIM) is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector control method, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from the free capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode at low speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorless DSWIM drive …

Go to article

Adaptive Antisingularity Terminal Sliding Mode Control For A Robotic Arm With Model Uncertainties And External Disturbances, Kiem Nguyen, Tinh Nguyen, Quyen Bui, Minhtuan Pham Jan 2018

Adaptive Antisingularity Terminal Sliding Mode Control For A Robotic Arm With Model Uncertainties And External Disturbances, Kiem Nguyen, Tinh Nguyen, Quyen Bui, Minhtuan Pham

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a radical adaptive terminal sliding mode control method for a robotic arm with model uncertainties and external disturbances is proposed in such a way that the singularity problem is completely dealt with. A radial basis function neural network (RBFNN) with an online weight tuning algorithm is employed to approximate unknown smooth nonlinear dynamic functions caused by the fact that there is no prior knowledge of the robotic dynamic model. Furthermore, a robust control law is utilized in order to eliminate total uncertainty composed of model uncertainties, external disturbances, and the inevitable approximation errors resulting from the finite …

Go to article

Attenuating Saturated-Regulator Operation Effect Of Brushless Dc Motors Through Genetic-Based Fuzzy Logic Estimator, Emre Çeli̇k, Ni̇hat Öztürk Jan 2018

Attenuating Saturated-Regulator Operation Effect Of Brushless Dc Motors Through Genetic-Based Fuzzy Logic Estimator, Emre Çeli̇k, Ni̇hat Öztürk

Turkish Journal of Electrical Engineering and Computer Sciences

As brushless DC motor (BLDCM) speed approaches base speed, current regulators gradually saturate and lose their ability to perform their regulating task, which causes a dramatic fall in the phase currents and motor power. To control the current to a greater extent and avoid power decline, a new reference current generation technique based on a simple fuzzy logic estimator (FLE) is introduced in this paper. According to motor speed and current command, the developed FLE decides the proper commutation angle $\alpha $, which is the angle relative to normal commutation instant used for setting the current slew rate during commutation. …

Go to article

A Model-Based Transformation Framework For Designing And Analyzing Wireless Sensor Networks, Raoudha Saida, Yessine Hadj Kacem, Mohammed Sulaiman Bensaleh, Mohamed Abid Jan 2018

A Model-Based Transformation Framework For Designing And Analyzing Wireless Sensor Networks, Raoudha Saida, Yessine Hadj Kacem, Mohammed Sulaiman Bensaleh, Mohamed Abid

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks (WSNs) comprise resource-constrained (e.g., memory, processing, and energy) sensor nodes that are deployed in different areas and are able to monitor environmental conditions. Simulation has been widely used in order to evaluate the network performance. In this context, software designers need to evaluate, refine, and validate high-level models for WSN applications at early stages of development via simulation tools, in particular for WSN applications supporting energy-harvesting devices. In the present paper, we propose a model-based transformation framework that allows the modeling and simulation of a WSN system supporting energy-harvesting capabilities. In this proposal, we start from a …

Go to article

Constrained Multiobjective Pso And T-S Fuzzy Models For Predictive Control, Ali Thamallah, Anis Sakly, Faouzi M'Sahli Jan 2018

Constrained Multiobjective Pso And T-S Fuzzy Models For Predictive Control, Ali Thamallah, Anis Sakly, Faouzi M'Sahli

Turkish Journal of Electrical Engineering and Computer Sciences

Multiobjective optimization problems are still a challenging area in the field of control system engineering. In this context, the current study describes a new multivariable predictive control scheme formulated by using the T-S fuzzy modeling method and a new constrained multiobjective PSO algorithm. The T-S fuzzy modeling technique is applied to forecast the behaviors of the nonlinear system. It also aims at establishing some conditions so that the proposed control loop is asymptotically stable. The obtained experimental results show that the combination of the philosophy of the T-S fuzzy model and multiobjective PSO is very good in the controlling of …

Go to article

Extending Co-Citation Using Sections Of Research Articles, Arjumand Yar Khan, Abdul Shahid Khattak, Muhammad Tanvir Afzal Jan 2018

Extending Co-Citation Using Sections Of Research Articles, Arjumand Yar Khan, Abdul Shahid Khattak, Muhammad Tanvir Afzal

Turkish Journal of Electrical Engineering and Computer Sciences

The excessive amount of digital information has made it crucial to extract the relevant information. This hinders researchers in finding documents pertaining to their research. There exist various state-of-the-art techniques, such as co-citation, bibliographic coupling, and their recent extensions like citation proximity analysis and citation order analysis, that recommend the relevant documents against the posed query. Most of these approaches are statistical in nature and thus can further be extended by incorporating some semantics to enhance the results. In this paper, we present an extension of a co-citation-based technique to identify the most relevant documents to co-cited document(s). The proposed …

Go to article

A Distributed Admm Approach For Energy-Efficient Resource Allocation In Mobile Edge Computing, Weiwei Fang, Wenchen Zhou, Yangyang Li, Xuening Yao, Feng Xue, Naixue Xiong Jan 2018

A Distributed Admm Approach For Energy-Efficient Resource Allocation In Mobile Edge Computing, Weiwei Fang, Wenchen Zhou, Yangyang Li, Xuening Yao, Feng Xue, Naixue Xiong

Turkish Journal of Electrical Engineering and Computer Sciences

Mobile edge computing (MEC) is a new promising technique to provide cloud-computing capabilities at the edge of cellular networks in close proximity to mobile users. In this paper, we consider joint optimization of the communication and computation resources in a multiuser, multiserver MEC system. The objective of this optimization problem is to minimize the total energy consumption of mobile devices under the time-sharing constraint. Given the fact that no coordination is involved between mobile devices, we propose a light-weight and decentralized algorithm based on the alternating direction method of multipliers (ADMM) framework. Experimental results demonstrate that the proposed algorithm performs …

Go to article

Path Loss Model For Indoor Emergency Stairwell Environment At Millimeter Wave Band For 5g Network, Ahmed Mohammed Alsamman, Tharek Abd Rahman, Mohd Nour Hindia, Jamal Nasir Jan 2018

Path Loss Model For Indoor Emergency Stairwell Environment At Millimeter Wave Band For 5g Network, Ahmed Mohammed Alsamman, Tharek Abd Rahman, Mohd Nour Hindia, Jamal Nasir

Turkish Journal of Electrical Engineering and Computer Sciences

The unused millimeter-wave (mmWave) spectrum offers a superb opportunity to increase mobile broadband capacity due to the enormous amount of available bandwidth. Different candidate operating frequencies for 5G wireless networks are available at the mmWave band. For 5G wireless networks, the emergency case is one of the applications. This paper presents the outcome of indoor emergency stairwell measurement campaigns for 5G system at 26 GHz, 28 GHz, 32 GHz, and 38 GHz, which were conducted at the University Technology Malaysia, Kuala Lumpur, Malaysia. To effectively evaluate the performance of 5G wireless systems in these different bands, single- and multifrequency path …

Go to article

Estimating The Selectivity Of Like Queries Using Pattern-Based Histograms, Mehmet Ayti̇mur, Ali̇ Çakmak Jan 2018

Estimating The Selectivity Of Like Queries Using Pattern-Based Histograms, Mehmet Ayti̇mur, Ali̇ Çakmak

Turkish Journal of Electrical Engineering and Computer Sciences

Accurate cost and time estimation of a query is one of the major success indicators for database management systems. SQL allows the expression of flexible queries on text-formatted data. The LIKE operator is used to search for a specified pattern (e.g., LIKE "luck %") in a string database. It is vital to estimate the selectivity of such flexible predicates for the query optimizer to choose an efficient execution plan. In this paper, we study the problem of estimating the selectivity of a LIKE query predicate over a bag of strings. We propose a new type of pattern-based histogram structure to …

Go to article

Artificial Immune System Based Wastewater Parameter Estimation, Cengi̇z Sertkaya, Ni̇lüfer Yurtay Jan 2018

Artificial Immune System Based Wastewater Parameter Estimation, Cengi̇z Sertkaya, Ni̇lüfer Yurtay

Turkish Journal of Electrical Engineering and Computer Sciences

The basis of a wastewater treatment system is to achieve the desired characteristics of the wastewater treatment process. An estimation of the obtained wastewater treatment characteristics provides the information needed to set up the current process steps, and it is important to have an optimum treatment. In this study, an artificial immune system (AIS) structure is developed to estimate important wastewater output parameters such as pH, DBO, DQO, and SS for the first time. The proposed AIS models are based on the clonal selection principle, and the dataset is provided from the University of California Irvine (UCI) Machine Learning Library. …

Go to article

Rapid Translation Of Finite-Element Theory Into Computer Implementation Based On A Descriptive Object-Oriented Programming Approach, Murat Yilmaz Jan 2018

Rapid Translation Of Finite-Element Theory Into Computer Implementation Based On A Descriptive Object-Oriented Programming Approach, Murat Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we present a framework for rapid prototyping of finite element (FE) theory for computer implementations. For this purpose, we propose an object-oriented (OO) application programming interface in the form of a domain-specific modeling language (DSML). In contrast to the traditional OO approach, the proposed framework deliberately avoids the use of subclassing for concrete implementations of node and element classes; it uses external objects, namely descriptors, instead. The descriptive design of the DSML provides developers with generic programming support for the construction and solution of discretization schemes, in the context of partial differential equations, in a self-explanatory syntax. …

Go to article

Influence Maximization In Social Networks: An Integer Programming Approach, Muhammed Emre Keski̇n, Mehmet Güray Güler Jan 2018

Influence Maximization In Social Networks: An Integer Programming Approach, Muhammed Emre Keski̇n, Mehmet Güray Güler

Turkish Journal of Electrical Engineering and Computer Sciences

The use of social networks has been spreading rapidly in recent years. There is a growing interest in influence maximization in social networks, especially after observing that the effects of social events of the Arab Spring, Gezi events of Turkey, uprising in Ukraine, etc. have been built by the help of social networks. Consequently, many institutions like political parties or commercial firms are willing to spread their messages throughout social networks. There are many studies that concentrate on finding the most influential initial nodes, called seeds, which maximize the spread of an intended message over the social network. However, most …

Go to article

Horizontal Diversity In Test Generation For High Fault Coverage, Arbab Alamgir, Abu Khari Bin A'Ain, Norlina Paraman, Usman Ullah Sheikh, Ian Grout Jan 2018

Horizontal Diversity In Test Generation For High Fault Coverage, Arbab Alamgir, Abu Khari Bin A'Ain, Norlina Paraman, Usman Ullah Sheikh, Ian Grout

Turkish Journal of Electrical Engineering and Computer Sciences

Determination of the most appropriate test set is critical for high fault coverage in testing of digital integrated circuits. Among black-box approaches, random testing is popular due to its simplicity and cost effectiveness. An extension to random testing is antirandom that improves fault detection by maximizing the distance of every subsequent test pattern from the set of previously applied test patterns. Antirandom testing uses total Hamming distance and total cartesian distance as distance metrics to maximize diversity in the testing sequence. However, the algorithm for the antirandom test set generation has two major issues. Firstly, there is no selection criteria …

Go to article

That Seems Made Up: Deep Learning Classifiers For Fiction & Non Fiction Book Reviews, Clement Manger Jan 2018

That Seems Made Up: Deep Learning Classifiers For Fiction & Non Fiction Book Reviews, Clement Manger

Dissertations

The thesis aims to take the first step towards automated extraction of the information found in book reviews, by using machine learning tools to assign a label of fiction or non fiction to the text. The thesis makes use of neural networks and performs experiments around architecture, hyper-parameters and text processing from which an optimized model is produced. The thesis enjoys certain successes; it was possible to match the state of the art achieved by (Kim, 2014) and computation was sped up considerably from the default to the optimized model by 13.8 seconds per 50 steps. Further it is confirmed …

Go to article

Hollow Core Fiber Based Interferometer For High Temperature (1000 °C) Measurement, Dejun Liu, Qiang Wu, Chao Mei, Jinhui Yuan, Xiangjun Xin, Arun Mallik, Fangfang Wei, Wei Han, Rahul Kumar, Chongxiu Yu, Shengpeng Wan, Xingdao He, Bo Liu, Gang-Ding Peng, Yuliya Semenova, Gerald Farrell Jan 2018

Hollow Core Fiber Based Interferometer For High Temperature (1000 °C) Measurement, Dejun Liu, Qiang Wu, Chao Mei, Jinhui Yuan, Xiangjun Xin, Arun Mallik, Fangfang Wei, Wei Han, Rahul Kumar, Chongxiu Yu, Shengpeng Wan, Xingdao He, Bo Liu, Gang-Ding Peng, Yuliya Semenova, Gerald Farrell

Articles

A simple, cost effective high temperature sensor (up to 1000 °C) based on a hollow core fiber (HCF) structure is reported. It is configured by fusion splicing a short section of HCF with a length of few millimeters between two standard single mode fibers (SMF-28). Due to multiple beam interference introduced by the cladding of the HCF, periodic transmission dips with high spectral extinction ratio and high quality (Q) factor are excited. However, theoretical analysis shows that minor variations of the HCF cladding diameter may result in a significant decrease in the Q factor. Experimental results demonstrate that the position …

Go to article

A Parallel Mesh Generator In 3d/4d, Kirill Voronin Jan 2018

A Parallel Mesh Generator In 3d/4d, Kirill Voronin

Portland Institute for Computational Science Publications

In the report a parallel mesh generator in 3d/4d is presented. The mesh generator was developed as a part of the research project on space-time discretizations for partial differential equations in the least-squares setting. The generator is capable of constructing meshes for space-time cylinders built on an arbitrary 3d space mesh in parallel. The parallel implementation was created in the form of an extension of the finite element software MFEM. The code is publicly available in the Github repository

Go to article

Introduction To Data Science: Executive Summary, Liming Wang Jan 2018

Introduction To Data Science: Executive Summary, Liming Wang

TREC Project Briefs

This education project created the curriculum for a new course: Introduction to Data Science for Planners, Engineers, and Scientists. The course helps students and professionals tackle the challenges of processing high volumes of data.

Go to article

Sensory Seduction And Narrative Pull, Nina Lyons, Matt Smith, Hugh Mccabe Jan 2018

Sensory Seduction And Narrative Pull, Nina Lyons, Matt Smith, Hugh Mccabe

Conference papers

User experience design is a process that has been defined, developed and refined over the last few decades. It is a process of shaping a user's movements through a website or mobile application. It is user-focussed, prioritising utility, ease-of-use and efficiency. It is widely used and has helped advance the way in which users interact with websites and mobile applications, making it far less frustrating. User experience design is a key element in how the internet and mobile technology have become ubiquitous in our daily lives. Given this success, it would seem that continuing to use this process for new …

Go to article

Privacy In Iot Cloud, Aftab Ahmad, Ravi Mukkamala, Karthik Navuluri Jan 2018

Privacy In Iot Cloud, Aftab Ahmad, Ravi Mukkamala, Karthik Navuluri

Computer Science Faculty Publications

We present a framework for privacy preservation in an information cloud of IoT devices. We contend that privacy provisioning should be located in the user device and must protect the user, the information, and the device from breaches in privacy. We elaborate on how the layered privacy model can ensure such privacy provisioning, and justify the device being the provisioning point instead of the cloud alone. We present the point of view that, due to resource limitations of the IoT devices in general, the privacy preserving measures need to be hard-coded in the device technology. We fall short of suggesting …

Go to article

Off Topic Memento Toolkit, Shawn M. Jones, Michele C. Weigle, Michael L. Nelson Jan 2018

Off Topic Memento Toolkit, Shawn M. Jones, Michele C. Weigle, Michael L. Nelson

Computer Science Faculty Publications

Web archive collections are created with a particular purpose in mind. A curator selects seeds, or original resources, which are then captured by an archiving system and stored as archived web pages, or mementos. The systems that build web archive collections are often configured to revisit the same original resource multiple times. This is incredibly useful for understanding an unfolding news story or the evolution of an organization. Unfortunately, over time, some of these original resources can go off-topic and no longer suit the purpose for which the collection was originally created. They can go off-topic due to web site …

Go to article

Unobtrusive And Extensible Archival Replay Banners Using Custom Elements, Sawood Alam, Mat Kelly, Michele C. Weigle, Michael L. Nelson Jan 2018

Unobtrusive And Extensible Archival Replay Banners Using Custom Elements, Sawood Alam, Mat Kelly, Michele C. Weigle, Michael L. Nelson

Computer Science Faculty Publications

We compare and contrast three different ways to implement an archival replay banner. We propose an implementation that utilizes Custom Elements and adds some unique behaviors, not common in existing archival replay systems, to enhance the user experience. Our approach has a minimal user interface footprint and resource overhead while still providing rich interactivity and extended on-demand provenance information about the archived resources.

Go to article

First Prev Next Last