Ergun, OO | Ozturk, B

Conference Object | 2018 | 2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)

Following recent advances in digital technologies, many data in various domains have been transformed into digital world and shared with millions of users via social media and web technologies. As a result, big amount of data has presented many challenging problems in different fields, e.g internet of things, artificial intelligence. One of application areas is in food domain. Recognition of food category from images, automatic recipe retrieval from internet and analysis and matching of food images with recipes, ingredients, nutrition values bring cooperation of multi disciplines and technologies. In this work, for the first time, s . . .emantical analysis of Turkish Cuisine is held and various information related to food in Turkish Cuisine is structured in a hierarchical ontology model. A new database containing 50 different food categories and related images is constructed and linked with data such as food properties, recipes, etc.. As a result, multimodal information retrieval can be achieved faster in a more semantic way. At the same time, food image classification with deep learning methods is performed and faster connection of recognized food category to related semantic data is provided Daha fazlası Daha az

Ozcan, AH | Unsalan, C

Conference Object | 2015 | 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1224 - 1227

Automatic extraction of bare-Earth LiDAR points to generate Digital Terrain Model (DTM) is still an ongoing problem. Even though there are several methods for ground filtering, automatic and adaptive methods are still a need due to the complexity of the environment. In this study, we address the ground filtering problem by applying Empirical Mode Decomposition (EMD) to the airborne LiDAR data. EMD is a data-driven method that adapts to the local characteristics of the signal. We benefit from EMD to extract the local trend of the LiDAR height data. This way, can extract a local adaptive threshold to filter ground and non-ground objec . . .ts. We tested our method using the ISPRS LiDAR reference dataset and obtained promising results. We also compared the filtering results with the ones in the literature to show the improvements obtained Daha fazlası Daha az

Yildiz, C | Bingol, HO | Irim-Celik, G | Aktekin, B | Aykut-Bingol, C

Conference Object | 2017 | 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1224 - 1227

Epilepsy is a chronic neurological disorder in which the normal pattern of neuronal activity in the brain becomes disturbed. Identification of the brain region that is abnormally active during an epileptic seizure is vital for epilepsy surgery. One way of achieving so is to collect electroencephalography ( EEG) signals from epileptic people and then to identify the active region as a seizure occurs. In this work, we present a Bayesian change point model that detects when seizures occur. We applied our method to a data set that contains 48 EEG and electrocardiography (EKG) record pairs collected from epileptic people and observed tha . . .t the model is able to detect all seizures Daha fazlası Daha az

Akgun, VY | Masazade, E

Conference Object | 2017 | 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1224 - 1227

In this paper, we first form a sensor using low power and low cost components, that is, MSP430G2553 microcontroller, nRF24L01+ communication unit, and a Light Dependent Resistor (LDR). Then, by communicating such sensors with a Fusion Center (FC), we form a Wireless Sensor Network (WSN). Sensors measure the light intensities at their locations and send their measurements to the FC. Then, FC forwards the sensor measurements to the computer which performs field estimation using ordinary kriging. Our test results show that the predicted field measurement using ordinary kriging at a specific location is quite close to the actual sensor . . .measurement at that location Daha fazlası Daha az

Serdaroglu, KC | Baydere, S

Conference Object | 2018 | 2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1224 - 1227

Publish-Subscribe(P/S) based sensor monitoring systems provide different quality-of-service according to client-server policies. Using adaptive timing and data freshness models may increase the flexibility of services in these systems. In this paper, we propose two timing models for sensor network based emergency detection P/S Systems in which the timing constraints and data freshness can be dynamically adjusted for user needs. The performance of these models is tested in a real testbed setup. The experimental results reveal that the proposed models can meet the timing and data freshness demands of the clients for applications which . . . acquire physical data from scalar sensors with 2-10s sampling rates Daha fazlası Daha az

Ozcan, AH | Unsalan, C

Conference Object | 2015 | 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1220 - 1223

Ship detection in satellite images is used for monitoring illegal fishing and violation of coastal waters or general maritime management. SAR images has been extensively used in this manner. Recently, researchers have started using optical satellite images for ship detection. These studies can be divided into two categories as inshore and offshore ship detection. Offshore ship detection is a relatively easy problem. But, inshore ship detection is a challenging problem in which ships are located closely. In this study, we handle this problem and propose a novel method assuming we have the harbor information beforehand. In the method, . . . the mask is morphologically thickened in single steps and adjacent ships are detected with a contour following method. Moreover, a shape model for the ships is used to eliminate false alarms. We tested the proposed method on high resolution satellite images and achieved promising results Daha fazlası Daha az

Gok, MY | Sagiroglu, MS | Unsalan, C | Goren, S

Conference Object | 2013 | 2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1220 - 1223

Smith Waterman Algorithm is a widely used tool in bioinformatics to align reads from aligning to a reference in whole genome sequencing. Mapping millions of sequences read from sequencing is a computationally expensive operation. Accuracy and performance are two important aspects of this process. FPGA based solutions are widely studied. In this paper we tried to achieve a better mapping accuracy for optimum alignment using quality scores of the bases of read sequences while keeping the performance high. We are offering a new Smith Waterman processing unit and systolic array based on quality scores.

Uslu, G | Baydere, S

Conference Object | 2013 | 2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1220 - 1223

Human activity monitoring enables detecting instances when people need help during daily routines. They may have forgotten taking medication or they can experience more severe situations such as falling. Detecting their activities yield their context information revealing occurrences of such cases. We designed and implemented a solution to activity detection proposing a Support Vector Machine (SVM) based method. We gathered data through accelerometer to come up with a noninvasive solution. Our method is the combination of a feature extractor and classifier. Presented activity recognition suit eliminates the need for experimenting wi . . .th multiple features to determine the best classifying features contrary to some approaches utilizing SVM. With our SVM based activity recognizer, we classified sit, stand, lie and walk actions with 100 % accuracy Daha fazlası Daha az

Dogan, B | Goker, I | Baslo, MB | Erdal, H | Ulgen, Y

Conference Object | 2009 | BIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETING , pp.1220 - 1223

Scanning EMG is a method developed for examining the electro-physiological cross section and the size of the motor unit of a human muscle. Electrical specifications of the motor unit can be obtained as well as anatomical distribution of muscle fibers and pathological changes between different muscles can be examined by the help of this method. In this paper; an automation system which is designed for the execution of scanning EMG method, whether manually or automatically, and a user-interface are described. Parameters like step count and step size which are about the movement of an electrode. moved by a linear actuator, through musc . . .le fibers can be defined as reference by user via designed interface. As a result, acquired signals are digitalized by data-acquisition card (DAQ) and saved as text file for the future signal process tasks Daha fazlası Daha az

Otu, HH | Can, H | Kaya, N | Al-alwan, L | Ozand, P | Inan, MS

Conference Object | 2007 | 2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 , pp.1220 - 1223

In this paper we present comparative expression, functional and pathway analysis of transcriptional profiling of a dysmorphic patient and its matched control using whole blood and fibroblast cells in an attempt to identify genetic changes in Dysmorphic disorders and developmental genes at large. Normalization was done by first finding an invariant set whose expression levels do not change significantly among the chips and then using this set to normalize raw probe values with a smoothing spline invariant set normalization method. Genes with significant change in expression were identified using the lower confidence bound of fold cha . . .nge and these genes were used to perform functional analyses within the context of Gene Ontology categories and biological pathwyas. Our results indicate that genes with altered expression levels are cell-type specific, activated biological categories are mostly developmental related such as skeletal and muscular system and genes dysregulated in both cell types effect cAMP dependent PKA pathway and consequently the CREB cycle Daha fazlası Daha az

Hasdemir, I | Ertas, G

Conference Object | 2017 | 2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO) , pp.1220 - 1223

Advanced smart pillboxes are needed for use with the heart rate regulating drugs. The most important component of these pillboxes is the heart beat rate sensor. In this study, experimental analyses have been performed with different optical sensors namely HRM-2511B transmissive sensor, TCRT1000 reflective sensor and PulseSensor reflective sensor in heartbeat sensing. All of the sensors provide very similar frequency signals captured from the left index finger. All the sensors give quite similar and correct measurement results when compared with the reference device. However, the measurement consistency is highly dependent on the pla . . .cement of the fingertip on the sensor. TCRT1000 and PulseSensor sensors require additional mechanical setup while HRM-2511B sensor is already equipped with a robust fingertip fixing mechanism. In the future, we are planning to develop an advanced smart pillbox based on the HRM-2511B sensor Daha fazlası Daha az

Yildiz, A | Gursoy, CC | Goren, S

Conference Object | 2017 | 2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) , pp.905 - 910

This paper presents implementation of fault emulation method which is very important in today's chip tests on a platform with heterogeneous architecture. Nowadays, the increase in the number of transistors in electronic circuits put fault emulation method forward which is faster than fault simulation in order to obtain a test set against possible defects on chips. In this method, a hardware model of the chip to be designed is implemented on Field Programmable Gate Arrays (FPGA) and it becomes possible to obtain a test set by applying different fault models. Heterogeneous architectures, on the other hand, provide energy savings and s . . .peed advantages over traditional architectural approaches as they involve different units in the execution of different workloads besides the central processing unit (CPU). Furthermore, multi-cycle tests are important because they can catch more errors with the same test vector than single-cycle tests. In this paper, as an application, it is explained the fault emulation of multi-cycle tests in a heterogeneous platform which employs FPGA and the results are shown Daha fazlası Daha az