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Article

PGSA-BASED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK

This paper proposes a novel localization algorithm for wireless sensor network (WSN). Accurate localization is very important for WSN. WSN localization problem is sometimes regarded as an optimization problem. Plant growth simulation algorithm (PGSA) is a kind of new intelligent optimization algorithm, which is intelligent simulation of plant growth in natural way. In addition to the common characteristics of intelligent algorithms, PGSA show robustness and provides a global optimal solution

Yuqiang Qin, Hui Ying

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1287–1304

Article

PSO ALGORITHM FOR SINGLE AND MULTIPLE ODOR SOURCES LOCALIZATION PROBLEMS: PROGRESS AND CHALLENGE

Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm

W. Jatmiko, F. Jovan, R.Y.S. Dhiemas, M.S. Alvissalim, A. Febrian, D. Widiyanto, D.M.J. Purnomo, H.A. Wisesa, T. Fukuda, K. Sekiyama

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1431–1478

Article

A NOVEL HYBRID LOCALIZATION METHOD FOR WIRELESS SENSOR NETWORK

Wireless sensor network is a kind of brand-new information acquisition platform, which is realized by the introduction of self-organizing and auto-configuration mechanisms. Node localization technology represents a crucial component of wireless sensor network. In this paper, a localization method based on kernel principal component analysis and particle swarm optimization back propagation algorithm is carefully discussed. First of all, taking KPCA as the front-end system to extract the main

Wang Jun, Zhang Fu, Ren Tiansi, Chen Xun, Liu Gang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1323–1340

Article

DISTRIBUTED TARGET LOCALIZATION AND TRACKING WITH WIRELESS PYROELECTRIC SENSOR NETWORKS

Due to the disadvantages of traditional localization & tracking at those aspects of users’ privacy protection, system configuration and maintenance, this paper proposes a new approach for infrared object localization and tracking with distributed wireless pyroelectric infrared sensors. A hierarchical architecture of visibility of Fresnel lens array is presented with spatial-modulated field of view (FOV). Firstly, the FOVs of Fresnel lens array in a sensor node are modulated to achieve a single

Baihua Shen, Guoli Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1400–1418

Article

WEIGHTED HYBRID LOCALIZATION SCHEME FOR IMPROVED NODE POSITIONING IN WIRELESS SENSOR NETWORKS

Localization schemes have a significant role in wireless sensor networks. During random deployment in an untouched area, the nodes have to be capable of self-management to determine their position. Received Signal Strength (RSS) and DV-Hop, are two different schemes that each have environment or hop dependency problem. Hybrid localization scheme, called H-Loc, is a combination of RSS and DV-Hop method. This scheme is proposed to make the selection of distance determination process based on the

Prima Kristalina, Wirawan, Gamantyo Hendrantoro

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1986–2010

Article

ADAPTIVE MOBILE ANCHOR LOCALIZATION ALGORITHM BASED ON ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

In wireless sensor networks (WSNs), node’s locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In this paper, we propose an adaptive mobile anchor localization algorithm based on ant colony optimization , firstly, some virtual anchor nodes are distributed in the area, second, ant colony was used which has the maximum of transition probabilities to obtain the optimal path, last, the centroid-weighted localization algorithm was proposed to

Yan Hong Lu, Ming Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1943–1961

Article

LINE-OF-SIGHT BASED 3D LOCALIZATION OF PARALLEL KINEMATIC MECHANISMS

Autonomous robots (manipulators or vehicles) may accumulate significant errors during their long-range motion to a desired position and orientation (pose). These errors, however, can be compensated for by subsequent local, short-range corrective actions to within random noise levels of the system. This paper presents a generic localization method for high-precision parallel kinematic mechanisms (PKMs) in order to allow them to accurately achieve their desired poses. The proposed method employs

Erkai Zhou, Mengzhe Zhu, Alexander Hong, Goldie Nejat, Beno Benhabib

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 842–868

Research paper

TRIBOACOUSTIC LOCALIZATION SYSTEM FOR MOBILE DEVICE - ENVIRONMENTAL EFFECTS TO ACCURACY

This paper simulates and discusses about the probable causes of error which might occur due to the environmental settings of the triboacoustic localization prototype previously developed. Erroneous conditions studied are sensor offsets and temperature mismatches while existing errors due to equation deficiencies are taken into considerations. Descriptions of the prototype's hardware and combinational system functionality which is to be simulated is described prior to the simulation and

Yeng Weng Leong, Hiroaki Seki, Yoshitsugu Kamiya, Masatoshi Hikizu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 658–673

Article

Spatial-temporal Collaborative Sequential Monte Carlo for Mobile Robot Localization in Distributed Intelligent Environments

In this paper, a spatial-temporal collaborative sequential Monte Carlo architecture for mobile robot localization is designed to well suites intelligent environment for service robotic system. A proposed algorithm, namely Distributed Proportional Allocation-Augmented Particle Filter (DPA-APF), resolves the sensor collaboration problem by the processes of augmented sampling, inter-node resampling, inner-node resampling and particle exchange. These procedures exploit data parallelism and

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 295–314

Article

IMPROVED WEIGHTED CENTROID LOCALIZATION ALGORITHM BASED ON RSSI DIFFERENTIAL CORRECTION

Node localization is one of the key technologies of wireless sensor networks (WSN). Due to the indoor environment requires a high positioning accuracy, an improved algorithm based on RSSI is put forward. In terms of RSSI ranging, the error correction coefficient received from self-correcting locator beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes. In the choice of weights, the algorithm uses inverse distance and replaces the method of

En-jie Ding, Xin Qiao, Fei Chang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1156–1173

Article

MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS

Y. K. Benkouider, M. Keche

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1054–1072

Article

HIGH PRECISION TARGET LOCALIZATION METHOD BASED ON COMPENSATION OF ATTITUDE ANGLE ERRORS

The attitude angles of UAV, as the input parameters of the target localization process, influence the accuracy of geo-targeting. In order to improve the accuracy of target localization, this paper compensates the attitude angle errors of the UAV based on learning prediction compensation. Firstly, considering the airborne equipment and the metadata provided by the UAV, we combine rear intersection with GPS/INS to calculate the error of each platform and aircraft attitude angle. Then the error

Jialiang LIU, Wenrui Ding, Hongguang Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 169–190

Article

IMPROVING THE LOCALIZATION OF ELECTRIC WHEELCHAIR BY USING PARTICLE FILTER

system composed by two electronic cards, based on microcontrollers CB405 and PIC16F877 for the signal acquisition from the encoders and distance measurements from ultrasonic sensors (SRF08 and SRF04). The ultrasonic sensors used to improve the localization when we use an automatic control system. Several techniques exist for sensors fusion solves the problems of mobile robots localization. Among these methods, we can quote the particle filter that use data from the encoders and measures from the

Malek Njah, Mohamed Jallouli

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1922–1942

Article

Probabilistic Joint State Estimation of Robot and Non-static Objects for Mobile Manipulation

In this paper, a unified and probabilistic method is proposed for simultaneously localization of a mobile service robot and states estimation of surrounding objects and co-existing people. This method allows intelligent robots to navigate reliably in dynamic environments and provide home-care services based on joint localization results. The algorithm makes use of probabilistic model to represent non-static people and objects states. Moreover, Rao-Blackwellized particle filters (RBPFs) are

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang, Bo Zhou

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1081–1096

Article

Research on Localization Vehicle Based on Multiple Sensors Fusion System

In the implementation and verification of multi sensor fusion of vehicle positioning, we built a verification platform positioning algorithm combined simulation of Car Sim-Simulink to Car Sim, the vehicle model and the sensor output as the data source, and the noise, then in the simulink environment to build the fusion localization algorithm, and the real vehicle experiment using inertial laboratory navigation equipment, to the actual sensor data validation algorithm. Simulation and

Xiaogang Zhu, Wei Tian, GuiZhong Li, Jun Yu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 186–189

Research Article

LOW-FREQUENCY LOCALIZATION AND IDENTIFICATION SYSTEM WITH ZIGBEE NETWORK

A. Ropponen, M. Linnavuo, R. Sepponen

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 75–93

Review

intra-abdominal fat, reflection patterns, localization, ultrasound, diagnostic criteria

Andrzej Smereczyński, Katarzyna Kołaczyk, Elżbieta Bernatowicz

Journal of Ultrasonography , ISSUE 62, 318–325

Research Article

TRACKING AND AUTOMATING A LIBRARY SYSTEM USING RADIO FREQUENCY IDENTIFICATION TECHNOLOGY

, 35 cm. The paper first discusses the effect of using RFID on the upper application and System layers. A simulation of randomly distributed tags with spatially distributed antennas is shown. Simulation results are provided to prove the validity of the proposed approach, which proves that adding a localization feature to the system layer is feasible with an acceptable error range that does not exceed 1.1%.

Ali Alwadi, Jeff Kilby, Amjad Gawanmeh

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 425–450

Short Communication

Identification and Localization of β-D-Glucosidase from Two Typical Oenococcus oeni Strains

Yahui Li, Yanhong Ma, Kaihong Huang, Hongzhi Zhang

Polish Journal of Microbiology , ISSUE 2, 209–213

Research paper

FUNCTIONAL STRUCTURE OF POLISH REGIONS IN THE PERIOD 2004-2013 – MEASUREMENT VIA HHI INDEX, FLORENCE’S COEFFICIENT OF LOCALIZATION AND CLUSTER ANALYSIS

The article addresses the measurement and identification problems covering particular social and economic areas (referred to as functions) in the regions of the country, based on the employment structure analysis and assessment by the sectors of the economy. The Herfindahl-Hirschman index was applied to measure sectoral concentration and Florence’s coefficient of localization to determine regional functional specialization. Finally, cluster analysis was conducted to produce the functional

Marek Obrębalski, Marek Walesiak

Statistics in Transition New Series , ISSUE 2, 223–242

Research Article

A SIMPLE SCHEME FOR LOCATION AND DISTANCE ESTIMATION OF WIRELESS SENSOR NODES IN OUTDOOR ENVIRONMENTS

In this paper we suggest a simple, practical and cost effective localization scheme that can be used to manually deploy wireless sensors to form wireless sensor networks (WSNs). We test our scheme exclusively in outdoor environments using commercially available IRIS XM2110 sensor motes. The location discovery of sensor motes deployed in outdoor environments is obtained in accordance with geographical latitude and longitude. The distance between the deployed sensor motes is also computed using

Tarun Dubey, O.P. Sahu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 368–382

Original Paper

The lateralizing and localizing value of peri-ictal cough in epileptic seizures

Introduction. Coughing may be observed as an epiphenomenon during or after epileptic seizures. Aim. In this paper we discuss the lateralization and localization value of cough as an epileptic peri/post ictal semiological phenomenon. Material and Methods. Seven patients presenting cough as a part of their symptomatology are presented. We will discuss cough in the context of these seven patients. Results. Six out of these seven patients were multidrug resistant temporal lobe epilepsy patients

Bektaş Korkmaz, Gülsün Erşen, Şakir Delil, Çiğdem Özkara, S. Naz Yeni

Journal of Epileptology , ISSUE 2, 71–77

Article

MODIFICATION OF PARTICLE SWARM OPTIMIZATION BY REFORMING GLOBAL BEST TERM TO ACCELERATE THE SEARCHING OF ODOR SOURCES

Particle Swarm Optimization (PSO) has been widely utilized for Odor Source Localization (OSL) purposes.There have been plenty of researches on this field. The latest research to modify original PSO were on the utilization of wind dynamics. In wind utilization research, the robot movement would be retarded if the robot movement direction is similar to the wind direction. Conform to the aforementioned method, this research proposed new modification on the global best term of PSO algorithm. There

D. Widiyanto, D. M. J. Purnomo, G. Jati, Aprinaldi Jasa Mantau, W. Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1410–1430

Article

A NEW THREE-DIMENSION SPATIAL LOCATION ALGORITHM OF WIRELESS SENSOR NETWORK

Aiming at three-dimensional space localization problem in wireless sensor network, a method of three-dimensional centroid algorithm with spherical perception radius (3DCSPR) is proposed. The algorithm uses Gaussian probability density function to estimate the sensor node radius, and uses tetrahedron method and three-dimensional center to locate unknown node with estimated. Firstly, RSSI value between beacon nodes and destination node is selected by RSSI distribution density function, that

Xiang Hua, Zhang Jinjin, Bin Lei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 233–255

Research Article

Radio Interferometric Object Tracking

This paper proposes a novel object tracking method using radio interferometry. The proposed low cost solution is able to track objects, equipped with a radio receiver, in real time, using only simple infrastructure nodes with radio transceivers at fixed and known locations. The localization method has low computational requirements and does not require any preliminary knowledge of, or measurements in the space where tracking is performed. The paper introduces the novel method and preliminary

Gergely Zachár, Gyula Simon, Miklós Maróti

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Research Article

ADAPTIVE ESTIMATION AND PI LEARNING SPRING-RELAXATION TECHNIQUE FOR LOCATION ESTIMATION IN WIRELESS SENSOR NETWORKS

In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few

Li Haiyan, Hu Yun-an, Zhu Min

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 317–332

Article

NEW DATA ON ISOPENICILLIN N SYNTHASE AND PEROXISOME CO-LOCATION IN THE HYPHAL CELLS OF PENICILLIUM CHRYSOGENUM PQ-96 – PEXOPHAGY AND EXOCYTOSIS

are now solid evidences confirming that IAT and PA are cumulated in peroxisomes [18]. The remarkable variability of activities suggests that the full extent of the biosynthetic capacity of peroxisomes is still elusive [2, 24]. 3. Immunoelectron microscopic localization of IPNS The immunoelectron microscopic arrangement of IPNS in apical, young sub-apical, mature (adult) subapical, and senescing/degrading hyphal cells of the tested industrial mycelium is summarized in Fig. 1. In the hyphal apex a

Wiesław Kurzątkowski, Paulina Górska, Małgorzata Główka, Katarzyna Woźnica, Aleksandra Zasada

Postępy Mikrobiologii - Advancements of Microbiology , ISSUE 1, 80–85

Research Article

PERFORMANCE AND ANALYSIS OF AUTOMATIC LICENSE PLATE LOCALIZATION AND RECOGNITION FROM VIDEO SEQUENCES

M.Anto Bennet, B. Thamilvalluvan, Priyanka Paree Alphonse, D.R. Thendralarasi, K. Sujithra

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 330–343

Research Article

MOVING TARGET DETECTION BASED ON GLOBAL MOTION ESTIMATION IN DYNAMIC ENVIRONMENT

AUV localization is not accurate based on sequence images if moving target is as landmark,so the moving target detection algorithm is studied based on global motion estimation, which detects and eliminates moving target according to the motion inconsistency of the moving target. Generally grid block matching is used in the global motion estimation, it can’t effectively dispose the dynamic background, and the gradient direction invariant moments descriptors method of free circular neighborhood

GAO Jun-chai, LIU Ming-yong, XU Fei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 360–379

Article

THE IMPLEMENTATION OF HIGH EFFICIENCY WIRELESS SENSOR IN ACOUSTIC OBJECT TRACKING

Energy control in Wireless Sensor Network is one of the most crucial technologies. Based on the acoustic object localization background, we designed a new structure of the sensor node to realize the energy efficiency in the power supply and artificial sleeping scheduling in this paper. The power control model is independent with data processing and control model and can separately realize the power supply for different part of the node. The node can transfer status according the different

ChengFang Zhen, Wenyi LIU, Hanming WEI

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1997–2017

Article

SMARTPHONE-BASED ENVIRONMENTAL SENSING USING DEVICE LOCATION AS METADATA

Kaori Fujinami

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2257–2275

Research paper

The influence of mood on visual perception of neutral material

In the study we investigated how current mood affects spontaneous perceptual processes of neutral stimuli of low-arousal, unrelated to any specific task. Two separate but similar procedures were carried out: one using functional magnetic resonance imaging (fMRI), the other using electroencephalography based source localization. In both experiments, sessions of passive viewing of neutral pictures were preceded by either a negative or positive mood induction. In response to neutral stimuli, we

Miroslaw Wyczesany, Tomasz S. Ligeza, Agnieszka Tymorek, Agnieszka Adamczyk

Acta Neurobiologiae Experimentalis , ISSUE 2, 163–172

Article

REVERSIBLE WATERMARKING AUTHENTICATION ALGORITHM FOR COLOR IMAGES BASED ON COMPRESSED SENSING

Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was

Dong Ruihong, Zuo Hangzhou, Zhang Qiuyu, Wu Dongfang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1073–1089

Article

A Diagnosis and Localization Method of Slime Pipe Blockage which Pressure Wave based on Wavelet Transform

Yuanbin Hou, Jiao Dang, Dong Li, Hongxia Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 147–151

Review Paper

Presurgical diagnosis of epilepsies – concepts and diagnostic tools

procedures, such as dipole source localization and spike-triggered functional MRI are already widely used. The most important lateralizing and localizing ictal signs and symptoms are summarized. It is anticipated that the other clinically valid surrogate markers of epileptogenesis and epileptogenicity will be further developed in the near future. Until then the concordance of the results of seizure semiology, localization of epileptogenicity by EEG and MRI remains the most important prerequisite for

Heinz Gregor Wieser

Journal of Epileptology , ISSUE 2, 115–140

Research paper

LAMB WAVE BASED MONITORING OF PLATE-STIFFENER DEBODING USING A CIRCULAR ARRAY OF
PIEZOELECTRIC SENSORS

In this paper we propose an efficient way of localization and parametric identification of metallic plate-stiffener debonding. A concept and experimental results based on a circular array of Piezoelectric Wafer Active Sensors (PWASs) is presented. Implementation of this circular array of PWASs combines the Lamb wave technique and symmetry breaking in the signal pattern to monitor the growth of a debonding of a stiffener on a metallic plate. Wavelet time-frequency maps of the sensor signals are

V. T. Rathod, D. Roy Mahapatra

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 27–44

Article

DEVELOPMENT OF WIRELESS SENSOR NETWORK USING BLUETOOTH LOW ENERGY (BLE) FOR CONSTRUCTION NOISE MONITORING

Josie Hughes, Jize Yan, Kenichi Soga

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1379–1405

Research Article

RANGED SUBGROUP PARTICLE SWARM OPTIMIZATION FOR LOCALIZING MULTIPLE ODOR SOURCES

W. Jatmiko, W. Pambuko, A. Febrian, P. Mursanto, A. Muis, B. Kusumoputro, K. Sekiyama, T. Fukuda

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 411–442

Research Article

Comparison of scintigraphy and ultrasound imaging in patients with primary, secondary and tertiary hyperparathyroidism – own experience

decreased to 37% and specificity rose to 95%. Conclusions Conclusions Scintigraphy showed greater sensitivity than ultrasound in the localization of enlarged parathyroid glands. Ultrasound, in turn, was characterized by a higher specificity. The combined use of scintigraphy and ultrasonography allowed to obtain the specificity of 95%. In the light of obtained results, scintigraphy and ultrasonography are complementary and should be used together.

Małgorzata Kobylecka, Maria Teresa Płazińska, Witold Chudziński, Katarzyna Fronczewska-Wieniawska, Joanna Mączewska, Adam Bajera, Maria Karlińska, Leszek Królicki

Journal of Ultrasonography , ISSUE 68, 17–22

Original Paper

Doppler ultrasound appearance of neck tumors

flow. Venous malformations presented as irregular, hypoechoic spaces with venous blood flow, easily compressed by the probe. Extracranial carotid artery aneurysms were hypoechoic, well-defined spaces, which presented with slow internal, turbulent flow on Doppler study, and showed continuity with the carotid artery. Conclusions: Doppler ultrasound allows to visualize features characteristic for certain neck tumors. Solid or cystic structure, echogenicity, localization, as well as internal flow

Anna Szymańska, Marcin Szymański, Wiesław Gołąbek, Anna Drelich-Zbroja, Tomasz Jargiełło

Journal of Ultrasonography , ISSUE 73, 96–102

Original Paper

The interrelationship between clinical and immunity variables in epilepsy

Introduction. The role of cellular immunity in the pathogenesis of epilepsy, as an interaction between immunity and clinical and neurobiological variables is not properly understood. Aim. The aim of the current study was to investigate the possible relationship between epilepsy forms, gender, focus localization, lateralization, handedness and cellular immunity with seizures frequency, their severity and length of therapeutic remission in partial forms of epilepsy. Material and methods. Ninety

Vladimir V. Kalinin, Kirill Y. Subbotin, Natalia G. Yermakova

Journal of Epileptology , ISSUE 2, 95–104

research-article

GEOSPATIAL DATA PROCESSING CHARACTERISTICS FOR ENVIRONMENTAL MONITORING TASKS

Western Bug River basin used as the example. Sentinel-2 images with a spatial resolution of 10 m/pixel for the period from 2016 to 2019 were used as initial data for flood zones localization (Fig. 1). In a joint analysis of Earth remote sensing data, as a rule, “criterion trees” are used, built on the basis of time-differentiated imagery and often from several spectral ranges. For the given territory, combinations of the following channels were used: NIR (8 band), Red (4 band), Green (3 band), Blue (2

Olga BUTENKO, Stanislav HORELIK, Oleh ZYNYUK

Architecture, Civil Engineering, Environment , ISSUE 1, 103–114

Original Paper

Mesenteric changes in an ultrasound examination can facilitate the diagnosis of neuroendocrine tumors of the small intestine

Neuroendocrine tumors make up an interesting pathology of a variable clinical picture, prognosis, localization, endocrine activity and degree of malignancy. Aim: The aim of this paper is to assess whether ultrasonography can be helpful in diagnosing neuroendocrine tumors in the small intestine by analyzing changes in the mesentery. Material and methods:From 1996 to 2013, we encountered 17 patients (9 women and 8 men at the mean age of 57) with a neuroendocrine tumor in the small intestine. The

Andrzej Smereczyński, Teresa Starzyńska, Katarzyna Kołaczyk

Journal of Ultrasonography , ISSUE 62, 274–282

Original Paper

Assessment of the utility of ultrasonography with high-frequency transducers in the diagnosis of posttraumatic neuropathies

patients underwent the interview, physical examination and ultrasound examination. Ultrasound examinations were performed with Esaote MyLab 50 and MyLab 60 systems using high-frequency broadband linear transducers: 6–18 MHz. The nerves were evaluated in the gray-scale and in the power Doppler mode in longitudinal and transverse sections for localization, morphology and the grade of injury as well as for possible anatomic variants of the nerve trunk and pathologies of the adjacent tissues. Moreover, a

Berta Kowalska

Journal of Ultrasonography , ISSUE 60, 15–28

Original Paper

Russian experience of using perampanel in daily clinical practice. Preliminary report

Material and Method. The results of the study of PER efficacy and safety in 52 patients with refractory focal epilepsy are presented. Mean age was 28.9 } 14.0 years; proportion of male patients was 56%, duration of the disease over 10 years – 69.2%, symptomatic epilepsy – 76.9%, with frontal – 46.2% and temporal – 44.2% localization of epileptic lesion. Majority of patients – 71.2% started PER treatment after 3 preceding lines of therapy Results. The baseline seizure

Pavel Vlasov, Vladimir Karlov, Irina Zhidkova, Aleksandr Chervyakov, Oleg Belyaev, Iosif Volkov, Diana Dmitrenko, Antonina Karas, Tatiana Kazennykh, Olga Miguskina, Anna Moskvicheva, Elena Paramonova, Irina Ponomareva

Journal of Epileptology , ISSUE 1, 7–14

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