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A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymm ...Daha fazlası
YUMUŞAK, Semih | ARAS, Rıza Emre | UYSAL, Elif | DOĞDU, Erdoğan | KODAZ, Halife | ÖZTOPRAK, Kasım
We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, the SPARQL endpoints are extracted from the web by using web crawling techniques, monitored and analyzed by live querying the endpoints systematically. After many sustainability improvements in the SpEnD project, the SpEnD system is now online as a portal. SpEnD portal currently serves 1487 SPARQL endpoints, out of which 911 endpoints are uniquely found by SpEnD only when ...Daha fazlası
Transcranial Doppler (TCD) is a non-invasive diagnosis method which is used in diagnosis of various brain diseases by measuring the blood flow velocities in brain arteries. In this study, chaos analysis of the TCD signals recorded from the middle arteries of the temporal region of brain of the 82 patients and 23 healthy people was investigated. Among 82 patients, 20 of them had cerebral aneurism, 10 had brain hemorrhage, 22 had cerebral oedema and the remaining 30 had brain tumor. Maximum Lyapunov exponent which is the strongest quantitative indicator of chaos was found to be positive for all ...Daha fazlası
This paper proposes a new unsupervised satellite change detection method, which is robust to illumination changes. To achieve this, firstly, a preprocessing strategy is used to remove illumination artifacts and results in less false detection than traditional threshold-based algorithms. Then, we use the corrected input data to define a new fitness function based on the difference image. The purpose of using Self-Adaptive Hybrid Particle Swarm Optimization-Genetic Algorithm (SAPSOGA) is to combine two meta-heuristic optimization algorithms to search and find the feasible solution in the NP-hard ...Daha fazlası
YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin | MENDİ, Engin | KARABATAK, Begüm
In this paper, a novel unsupervised change detection method is proposed to automatically detect changes between two cloud-contaminated Landsat images. To achieve this, firstly, a photometric invariants technique with Stationary Wavelet Transform (SWT) are applied to input images to decrease the influence of cloud and noise artifacts in the change detection process. Then, mean shift image filtering is employed on the sub-band difference images, generated via image differencing technique, to smooth the images. Next, multiple binary change detection masks are obtained by partitioning the pixels i ...Daha fazlası
Network Security is one of the most critical issues of establishments like universities, govermental and private institutions which have significant role on development and security of a state. These establishments use internet to share and keep official information, and to make their institutive operations. A cyber attack that targetted such establishments networks may cause a great loss. Therefore, networks of these establishments ought to protect on a high level security. In this paper, a system is offered which is able to investigate networks of institutions and ranking their network by pr ...Daha fazlası
BOUGHEDDA, Houssem | HACIB, Tarik | CHELABI, Mohamed | AÇIKGÖZ, Hulusi | LE BIHAN, Yan
This paper is concerned with the characterization methodologies of defects in conducting materials by an Electromagnetic Acoustic Transducer (EMAT) testing system. It has been developed to create a virtual environment for Non-Destructive Testing (NDT) before implementing it in real, to study the change effect on the defect geometry at the signal received. EMAT is a new technology, which provides a noncontact process of testing materials compared to ultrasonic testing technique. This work is based on the simulation of two-dimensional numerical model, using Finite Element Method, (FEM) like a si ...Daha fazlası
Trolls in social media are 'malicious' users trying to propagate an opinion or distort the general perceptions. Identifying trolls in social media is a task of interest for many big data applications since data cannot be analyzed effectively without eliminating such users from the crowd. In this paper, we present a solution for troll detection and also the results of measuring terror awareness among social media users. We used Twitter platform only, and applied several machine learning techniques and big data methodologies. For machine learning we used k-Nearest Neighbour (kNN), Naive Bayes, a ...Daha fazlası
SADOU, Hakim | HACIB, Tarik | LE BIHAN, Yan | AÇIKGÖZ, Hulusi | MEYER, Olivier
Inverse problems for determination of dielectric materials properties (complex permittivity) are usually solved by iterative methods using numerically based forward model. These methods are computationally expensive. In this paper, we propose a fast inversion model based on partial least square regression (PLSR). The idea is to build a model able to predict in real time the properties of the sample under test using measurements of admittance or reflexion coefficient of the propagating electromagnetic micro wave along the coaxial line. Numerical solution of the direct problem is made using Fini ...Daha fazlası
Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing overlay networks that connect the nodes subscribed to each distinct topic is hence a fundamental problem in these systems. For scalability and efficiency, it is important to keep the maximum node degree of the overlay in the publish/subscribe system low. Ideally one would like to be able not only to keep the maximum node degree of the overlay low, but also to ensure that the ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve cerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.