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The aim of this study is to compare the successes of various distance metrics and to determine the most appropriate methods in order to detect similarities among textual documents written in Turkish. Computing similarities between text documents is the basic step of plagiarism detection, and text mining methods like author detection, text classification and clustering. Therefore, plagiarism detection...
In recent years, lightweight cryptography has become essential especially for the resource-constrained devices to ensure data protection and security. The selection of suitable cryptographic algorithm which is directly linked to requirements of the system will have dynamically effect on following such metrics like performance of the device, hardware resource cost, the area, speed, efficiency, computation...
The amount of data circulating on the Internet is increasing day by day. With the increasing use of social media in particular, the importance of analyzing these data is increasing. The use of machine learning approaches to analyze large amounts of data is still popular today. Today, the social network Facebook is the most popular social networking sites. In this study, some data taken on Facebook...
We report on the results of the first visual search and rating study (N60) evaluating human gaze when assessing the realism of image composites. The effects of object identity knowledge and mismatched feature type on observers' gaze and subjective realism scores are studied. Gaze metrics used include: fixation count, fixation duration, time and duration of first fixation on target object, as well...
In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video stabilization on multirotor unmanned aerial vehicles. A combination of a filter and a threshold is used to the video freeze detection, and for optimizing the algorithm, we find the minimum number...
Communication and data transfer demands are growing fast in last few decades. In order to obtain higher data transfer, it is necessary to determine proper antenna placement in a wireless system. In this paper, we research propagation in tropical environment and L-Band frequency by conducting distance and high variation measurement at frequency 1.8 GHz and 2.4 GHz. The received power level decreases...
This paper gives an overview of the calorimetric systems used to determine the losses of converters and motors, introduces the standards in the scope of the topic briefly, and highlights the problems associated with the loss determination of high efficiency devices. The calorimeters are classified in four categories based on chamber configuration. Information about previously published calorimeters...
Study on the design of a robust network against malicious attacks has gained increased interest in various areas such as wireless communications networks. One of the main obstacles towards finding the optimum robust network is the large number of possible network configurations. In this paper, we propose a novel method to design robust networks against malicious attacks based on the network degree...
This paper considers a frequency-division-duplexing (FDD) massive multiple-input multiple-output (MIMO) system that operates with two-stage beamforming based on user grouping. In this system, we propose a first stage beamformer and a user grouping method for the two-stage beamforming. The proposed first stage beamformer maximizes an approximate sum rate calculated from the second-order statistic of...
This work-in-progress research study examines the response patterns of first-generation college students (FGCS) to the engineering identity measures compared to non-first-generation college students (non-FGCS). This work answers the following research question, “Do FGC and non-FGC engineering students interpret the engineering identity measurement items in a conceptually different manner?” We explore...
Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging from social sciences over languages to technical skills, and use different means to train the respective skills. MOOCs that are teaching programming skills aim to incorporate practical exercises into the course corpus to give students the hands-on experience necessary for understanding and mastering programming. These exercises,...
This paper proposes a real-time Audio and Video Artifacts Detection Tool (AVADT), solution that wraps implemented artifacts detection methods for most important and common audio and video artifacts. It can also be used for evaluation of different modules and functions of device under testing (e.g. encoder, decoder). AVADT can operate in two modes: offline mode for evaluation of existing, locally stored...
The explosive growth of wireless devices requires more aggressive and balanced spectrum sharing and the listen-before-talk (LBT) is still a superior candidate protocol for a high device density. The Modified hardcore point process (HCPP) type II model provides mathematically tractable performances for such LBT networks, but it underestimates the LBT performances. In this regard, this paper evaluates...
With the upsurge in the volume of data and profuse cloud applications, big data analytics becomes very popular in the research communities in industry as well as in academia. This led to the emergence of real-time distributed stream processing systems such as Flink, Storm, Spark, and Samza. These systems sanction complex queries on streaming data to be distributed across multiple worker nodes in a...
In this letter, a novel no reference image quality metric is developed, a set of ten features are extracted from each distorted image, then Relevance Vector Machine algorithm (RVM) is utilized to learn the mapping between the combined features and human opinion scores, experiments are conducted on the LIVE databases. The performance of the proposed metric is compared with some existing NR metrics...
To increase the success in computer programming courses, it is important to understand the learning process and common difficulties faced by students. Although several studies have investigated possible relationships between students performance and self-regulated learning characteristics in computer programming courses, little attention has been given to the source code produced by students in this...
In spite of their growing maturity, current web monitoring tools are unable to observe all operating conditions. For example, clients in different geographical locations might get very diverse latencies to the server; the network between client and server might be slow; or third-party servers with external page resources might underperform. Ultimately, only the clients can determine whether a site...
The key to maintaining high standards of quality and power conservation of physical machines in data centers lies in efficient consolidation of virtual machines (VMs). Several schemes have been proposed for this purpose; and these include online migration and VM placement — which can offer the best in terms of resource utilization. The consolidation process can be made effective by finding “opportunities”...
DC voltage measurement device is the key equipment in the DC transmission system, which is mainly used for system voltage measurement and providing voltage signals to the measuring instruments and secondary protection devices. With the rapid development of DC transmission and flexible transmission in China, DC voltage measurement device has been widely used and developed. High accuracy and high stability...
The concept of mesh networks brings many challenges to the research community when designing such system. In this paper, we propose a new routing model to account for the link utilization between nodes, as well as the remaining energy left in each node. The framework, called Distributed Split-path, is implemented on top of the Optimized Link-State Routing (OLSR) protocol. We demonstrate the improvement...
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