A. Flizikowski, Mateusz Półcienniczak, Maciej Rybicki, W. Holubowicz, Maciej Podyma
Abstract Streaming video in uplink is an interesting opportunity for network operators for capitalizing unused part of bandwidth (due to Internet asymmetry). The uplink seems not optimized nowadays due to lack of business cases. The main challenge however is bursty and unpredictable nature of wireless channel observed especially as mobility comes into play in current broadband networks. That is why in this paper, we have approached the diagnosis of commercial mobile WiMAX network towards the capabilities of assuring real-time video in uplink direction. We present results of drive tests showing that delay in WiMAX networks for LOS-NLOS (Line of sight - No n line of sight) mobile conditions is largely contributed by uplink direction (60-90% of RTT (Round trip time)) whereas downlink directions hardly ever exceeds 40ms. We show that enabling MIMO-A(Multiple Input Multiple Output) can decrease delays by 100ms in NLOS conditions and decrease delay variation by up to 90%. For each of tests we have presented exact probabilities of particular modulations involved based on channel realizations.
{"title":"Assessing Capabilities of Commercial WiMAX Networks for Deliverling Real-Time Surveillance Video Traffic in Uplink","authors":"A. Flizikowski, Mateusz Półcienniczak, Maciej Rybicki, W. Holubowicz, Maciej Podyma","doi":"10.1515/ipc-2015-0028","DOIUrl":"https://doi.org/10.1515/ipc-2015-0028","url":null,"abstract":"Abstract Streaming video in uplink is an interesting opportunity for network operators for capitalizing unused part of bandwidth (due to Internet asymmetry). The uplink seems not optimized nowadays due to lack of business cases. The main challenge however is bursty and unpredictable nature of wireless channel observed especially as mobility comes into play in current broadband networks. That is why in this paper, we have approached the diagnosis of commercial mobile WiMAX network towards the capabilities of assuring real-time video in uplink direction. We present results of drive tests showing that delay in WiMAX networks for LOS-NLOS (Line of sight - No n line of sight) mobile conditions is largely contributed by uplink direction (60-90% of RTT (Round trip time)) whereas downlink directions hardly ever exceeds 40ms. We show that enabling MIMO-A(Multiple Input Multiple Output) can decrease delays by 100ms in NLOS conditions and decrease delay variation by up to 90%. For each of tests we have presented exact probabilities of particular modulations involved based on channel realizations.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133168099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Lech, J. Purczynski, E. Kornatowski, P. Wlodarski
Abstract This article presents current research on failure issues in the IEEE 802.11g wireless network that can be easily applied in the intelligent home system. Different systems in different communication models coexisted with each other in the same time of operation. As a result of many observations the new statistical model of communication system failures was developed. During normal operation there should be no connection loss in the ideal case. However, when transmitting devices are located on the edge of the wireless network range, the connection could be lost. The problem of reconnections cannot be ignored in the process of automation devices control, especially when dealing with sensitive data transmitted using e.g. Internet of Things technologies. One of the possible scenarios that could take place after link failure is the stability loss of the system or issues with data integrity. All research presented in this work could help in performing new computer simulations, and as a consequence - by appropriate designing of queueing systems - preventing data loss.
{"title":"Failure Issues in WiFi Networks Applied in Intelligent Home Systems","authors":"P. Lech, J. Purczynski, E. Kornatowski, P. Wlodarski","doi":"10.1515/ipc-2015-0029","DOIUrl":"https://doi.org/10.1515/ipc-2015-0029","url":null,"abstract":"Abstract This article presents current research on failure issues in the IEEE 802.11g wireless network that can be easily applied in the intelligent home system. Different systems in different communication models coexisted with each other in the same time of operation. As a result of many observations the new statistical model of communication system failures was developed. During normal operation there should be no connection loss in the ideal case. However, when transmitting devices are located on the edge of the wireless network range, the connection could be lost. The problem of reconnections cannot be ignored in the process of automation devices control, especially when dealing with sensitive data transmitted using e.g. Internet of Things technologies. One of the possible scenarios that could take place after link failure is the stability loss of the system or issues with data integrity. All research presented in this work could help in performing new computer simulations, and as a consequence - by appropriate designing of queueing systems - preventing data loss.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Present manuscript proposes a technique for estimating the angle of rotation for a Braille document image which in turn will be used for aiding its automatic character recognition. The technique is based on maximizing number of null projection of the derived image vector. Results show that any amount of rotation transformed distortion can be nullified and thus leading to proper reading of imprinted Braille character pattern. The proposed methods have been successfully tested on manually written as well as computer generated Braille with rotation distortion.
{"title":"E-Braille Documents: Novel Method For Error Free Generation","authors":"M. Wajid, Vinay Kumar","doi":"10.1515/ipc-2015-0021","DOIUrl":"https://doi.org/10.1515/ipc-2015-0021","url":null,"abstract":"Abstract Present manuscript proposes a technique for estimating the angle of rotation for a Braille document image which in turn will be used for aiding its automatic character recognition. The technique is based on maximizing number of null projection of the derived image vector. Results show that any amount of rotation transformed distortion can be nullified and thus leading to proper reading of imprinted Braille character pattern. The proposed methods have been successfully tested on manually written as well as computer generated Braille with rotation distortion.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127153457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This work presents a new DHT impulse response function based on the proposed nonlinear equation system obtained as a result of combining the DHT and IDHT equation systems. In the case of input time series with selected characteristics, the DHT results obtained using this impulse response function are characterised by a higher accuracy compared to the DHT results obtained based on the convolution using other known DHT impulse response functions. The results are also characterised by a higher accuracy than the DHT results obtained using the popular indirect DHT method based on discrete Fourier transform (DFT). Analysis of these example time series with selected characteristics was performed based on the signal-to-noise ratio.
{"title":"Hilbert Transformation Impulse Response","authors":"M. Sulima","doi":"10.1515/ipc-2015-0022","DOIUrl":"https://doi.org/10.1515/ipc-2015-0022","url":null,"abstract":"Abstract This work presents a new DHT impulse response function based on the proposed nonlinear equation system obtained as a result of combining the DHT and IDHT equation systems. In the case of input time series with selected characteristics, the DHT results obtained using this impulse response function are characterised by a higher accuracy compared to the DHT results obtained based on the convolution using other known DHT impulse response functions. The results are also characterised by a higher accuracy than the DHT results obtained using the popular indirect DHT method based on discrete Fourier transform (DFT). Analysis of these example time series with selected characteristics was performed based on the signal-to-noise ratio.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rocío Pérez de Prado, S. García-Galán, J. E. M. Expósito, L. R. Lopez, R. R. Reche
Abstract Montage image engine is an astronomical tool created by NASA’s Earth Sciences Technology Office to obtain mosaics of the sky by the processing of multiple images from diverse regions. The associated computational processes involve the recalculation of the images geometry, the re-projection of the rotation and scale, the homogenization of the background emission and the combination of all images in a standardized format to show a final mosaic. These processes are highly computing demanding and structured in the form of workflows. A workflow is a set of individual jobs that allow the parallelization of the workload to be executed in distributed systems and thus, to reduce its finish time. Cloud computing is a distributed computing platform based on the provision of computing resources in the form of services becoming more and more required to perform large scale simulations in many science applications. Nevertheless, a computational cloud is a dynamic environment where resources capabilities can change on the fly depending on the networks demands. Therefore, flexible strategies to distribute workload among the different resources are necessary. In this work, the consideration of fuzzy rule-based systems as local brokers in cloud computing is proposed to speed up the execution of the Montage workflows. Simulations of the expert broker using synthetic workflows obtained from real systems considering diverse sets of jobs are conducted. Results show that the proposal is able to significantly reduce makespan in comparison to well-known scheduling strategies in distributed systems and in this way, to offer an efficient solution to accelerate the processing of astronomical image mosaic workflows.
{"title":"Processing Astronomical Image Mosaic Workflows With An Expert Broker In Cloud Computing","authors":"Rocío Pérez de Prado, S. García-Galán, J. E. M. Expósito, L. R. Lopez, R. R. Reche","doi":"10.1515/ipc-2015-0020","DOIUrl":"https://doi.org/10.1515/ipc-2015-0020","url":null,"abstract":"Abstract Montage image engine is an astronomical tool created by NASA’s Earth Sciences Technology Office to obtain mosaics of the sky by the processing of multiple images from diverse regions. The associated computational processes involve the recalculation of the images geometry, the re-projection of the rotation and scale, the homogenization of the background emission and the combination of all images in a standardized format to show a final mosaic. These processes are highly computing demanding and structured in the form of workflows. A workflow is a set of individual jobs that allow the parallelization of the workload to be executed in distributed systems and thus, to reduce its finish time. Cloud computing is a distributed computing platform based on the provision of computing resources in the form of services becoming more and more required to perform large scale simulations in many science applications. Nevertheless, a computational cloud is a dynamic environment where resources capabilities can change on the fly depending on the networks demands. Therefore, flexible strategies to distribute workload among the different resources are necessary. In this work, the consideration of fuzzy rule-based systems as local brokers in cloud computing is proposed to speed up the execution of the Montage workflows. Simulations of the expert broker using synthetic workflows obtained from real systems considering diverse sets of jobs are conducted. Results show that the proposal is able to significantly reduce makespan in comparison to well-known scheduling strategies in distributed systems and in this way, to offer an efficient solution to accelerate the processing of astronomical image mosaic workflows.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Research on document image analysis is actively pursued in the last few decades and services like OCR, vectorization of drawings/graphics and various types of form processing are very common. Handwritten documents, old historical documents and documents captured through camera are now being the subjects of active research. However, another very important type of paper document, namely the map document image processing research suffers due to the inherent complexities of the map document and also for nonavailability of benchmark public data-sets. This paper presents a new data-set, namely, the Land Map Image Database (LMIDb) that consists of a variety of land maps images (446 images at present and growing; scanned at 200/300 dpi in TIF format) and the corresponding ground-truth. Using semiautomatic tools non-text part of the images are deleted and the text-only ground-truth is also kept in the database. This paper also presents a classification strategy for map images using which the maps in the database are automatically classified into Political (Po), Physical (Ph), Resource (R) and Topographic (T) maps. The automatic classification of maps help indexing of the images in LMIDb for archival and easy retrieval of the right maps to get the appropriate geographical information. Classification accuracy is also tested on the proposed data-set and the result is encouraging.
{"title":"Land Map Image Dataset: Ground-Truth And Classification Using Visual And Textural Features","authors":"S. Mandal, Samit Biswas, A. Das, B. Chanda","doi":"10.1515/ipc-2015-0024","DOIUrl":"https://doi.org/10.1515/ipc-2015-0024","url":null,"abstract":"Abstract Research on document image analysis is actively pursued in the last few decades and services like OCR, vectorization of drawings/graphics and various types of form processing are very common. Handwritten documents, old historical documents and documents captured through camera are now being the subjects of active research. However, another very important type of paper document, namely the map document image processing research suffers due to the inherent complexities of the map document and also for nonavailability of benchmark public data-sets. This paper presents a new data-set, namely, the Land Map Image Database (LMIDb) that consists of a variety of land maps images (446 images at present and growing; scanned at 200/300 dpi in TIF format) and the corresponding ground-truth. Using semiautomatic tools non-text part of the images are deleted and the text-only ground-truth is also kept in the database. This paper also presents a classification strategy for map images using which the maps in the database are automatically classified into Political (Po), Physical (Ph), Resource (R) and Topographic (T) maps. The automatic classification of maps help indexing of the images in LMIDb for archival and easy retrieval of the right maps to get the appropriate geographical information. Classification accuracy is also tested on the proposed data-set and the result is encouraging.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131638816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Koryciak, Maciej Barszczowski, A. Dabrowska-Boruch, K. Wiatr
Abstract In this paper an implementation of the module responsible for the control of micro-mirror array for later use in projection is described. Existing technologies allow for projections of medical images in Digital Imaging and Communications in Medicine format only in the form of a flat 2D image. The 3D Visualizer will allow to display medical images in three dimensions using its own projection surface. The matrix controlling device has been largely developed on the basis of reverse engineering studies carried out on the functional system based on a driver from Texas Instruments. Driver is built on the FPGA with implemented soft processor from Xilinx - MicroBlaze.
{"title":"Medical Visualizer 3D: Hardware Controller for Dmd Module","authors":"S. Koryciak, Maciej Barszczowski, A. Dabrowska-Boruch, K. Wiatr","doi":"10.1515/ipc-2015-0006","DOIUrl":"https://doi.org/10.1515/ipc-2015-0006","url":null,"abstract":"Abstract In this paper an implementation of the module responsible for the control of micro-mirror array for later use in projection is described. Existing technologies allow for projections of medical images in Digital Imaging and Communications in Medicine format only in the form of a flat 2D image. The 3D Visualizer will allow to display medical images in three dimensions using its own projection surface. The matrix controlling device has been largely developed on the basis of reverse engineering studies carried out on the functional system based on a driver from Texas Instruments. Driver is built on the FPGA with implemented soft processor from Xilinx - MicroBlaze.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126193643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The goal of this paper is to evaluate possible application of travelling salesman problem and its solving methods to image segmentation and object counting. This approach is inspired both by human skill of subitization and by ability of biological systems to solve optimization problems. Subitizing, or the ability to determine a number of objects without counting them, can be treated as a special case of image processing focused on extracting objects from background and enumerating them. This paper describes a method of generating linear image profile based on simple graph representation in which an optimal or suboptimal cycle is sought. Segmentation and counting can be then carried out by dividing the profile into coherent segments.
{"title":"Image Segmentation and Object Counting as an Instance of Travelling Salesman Problem","authors":"P. Wołoszyn","doi":"10.1515/ipc-2015-0011","DOIUrl":"https://doi.org/10.1515/ipc-2015-0011","url":null,"abstract":"Abstract The goal of this paper is to evaluate possible application of travelling salesman problem and its solving methods to image segmentation and object counting. This approach is inspired both by human skill of subitization and by ability of biological systems to solve optimization problems. Subitizing, or the ability to determine a number of objects without counting them, can be treated as a special case of image processing focused on extracting objects from background and enumerating them. This paper describes a method of generating linear image profile based on simple graph representation in which an optimal or suboptimal cycle is sought. Segmentation and counting can be then carried out by dividing the profile into coherent segments.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122660299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In the paper is presented methodology of the X-ray image processing application to investigate gravitational flow in rectangular silo model. The proposed normalization procedure of X-ray data allows to visualize the changes of the volume fraction of sand during silo discharging process. The applied procedure of image processing, in contrast to the previously author works, allows to obtained more accurate information about the changes of material distribution level during process. The conducted image analysis simplifies the investigation of mass flow in various area of silo. The obtained results show the different particle behaviour in centre and at silo wall area. The experiments were conducted for different initially level of sand densities and roughness of the silo wall. Visualization of dissimilarity in interaction between the particles and particles, and between particles and the silo walls, even for smooth wall, was the main result of the Xray image analysis, especially for shear zone visualization.
{"title":"Analysis of the Granular Material Concentration Changes During Silo Discharging Process Based on X-Ray Image Analysis","authors":"K. Grudzień","doi":"10.1515/ipc-2015-0015","DOIUrl":"https://doi.org/10.1515/ipc-2015-0015","url":null,"abstract":"Abstract In the paper is presented methodology of the X-ray image processing application to investigate gravitational flow in rectangular silo model. The proposed normalization procedure of X-ray data allows to visualize the changes of the volume fraction of sand during silo discharging process. The applied procedure of image processing, in contrast to the previously author works, allows to obtained more accurate information about the changes of material distribution level during process. The conducted image analysis simplifies the investigation of mass flow in various area of silo. The obtained results show the different particle behaviour in centre and at silo wall area. The experiments were conducted for different initially level of sand densities and roughness of the silo wall. Visualization of dissimilarity in interaction between the particles and particles, and between particles and the silo walls, even for smooth wall, was the main result of the Xray image analysis, especially for shear zone visualization.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122167405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The aim of this work was to develop an algorithm for estimating the waiting time of the cars stopped before the intersection in a traffic flow measurement system (based on optical flow), which does not require the generation of the background and allows to calculation in real time. The proposed method performs analysis in HSV color space - a mask generated from S component is applied to H component. In this way a background - an asphalt and horizontal whitespace - is eliminated. The result of this operation is combined with data from optical flow to detect the vehicles which should be tracked.
{"title":"Color Analysis Supporting a Traffic Flow Measurement Based on Optical Flow","authors":"P. Pawlik, Z. Bublinski, A. Glowacz","doi":"10.1515/ipc-2015-0009","DOIUrl":"https://doi.org/10.1515/ipc-2015-0009","url":null,"abstract":"Abstract The aim of this work was to develop an algorithm for estimating the waiting time of the cars stopped before the intersection in a traffic flow measurement system (based on optical flow), which does not require the generation of the background and allows to calculation in real time. The proposed method performs analysis in HSV color space - a mask generated from S component is applied to H component. In this way a background - an asphalt and horizontal whitespace - is eliminated. The result of this operation is combined with data from optical flow to detect the vehicles which should be tracked.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115045191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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