coding

Open Access Article

1 - A New Algorithm for Fastintra-Frame Modes Selection in H.264/Avc Video Coding
Mahnaz Nejadali mahdi jafari majid mohammadi

By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several More

By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several powerful coding techniques, considerably increased complexity at the encoder. This paper presents a new algorithm to reduce the complexity of the H.264/AVC encoder. The proposed method uses simple directional masks, neighboring blocks modes and detection of 4×4 and/or 16×16 intra estimation modes with determination of quantization parameters for fast mode selection in Intra-Frame Modes prediction. Experimental results show that the proposed method reduces maximum 29% of the encoding time, while has little effect on visual quality and PSNR. Manuscript profile

Open Access Article

2 - Increasing the value of collected data and reducing energy consumption by using network coding and mobile sinks in wireless sensor networks
ehsan kharati

The wireless sensor network includes a number of fixed sensor nodes that move sink nodes to collect data between nodes. To reduce energy consumption and increase the value of collected data, it is necessary to determine the optimum route and residence location of mobile More

The wireless sensor network includes a number of fixed sensor nodes that move sink nodes to collect data between nodes. To reduce energy consumption and increase the value of collected data, it is necessary to determine the optimum route and residence location of mobile sinks, which increases the life of wireless sensor networks. Using network coding, this paper presents a Mixed Integer Linear Programming Model to determine the optimal multicast routing of source sensor nodes to mobile sinks in wireless sensor networks, which determines the time and location of sinks to collect maximum coded data and reduces the delay in sink movement and energy consumption. Solving this problem in polynomial time is not possible due to the involvement of various parameters and the constrained resources of wireless sensor networks. Therefore, several exploratory and greedy and fully distributed algorithms are proposed to determine the movement of sinks and their residence location based on maximizing the value of coded data and the type of data dead time. By simulating, the optimal method and the use of coding and proposed algorithms, reduce the runtime and energy consumption and increase the value of collected data and network lifetime than non-coding methods. Manuscript profile

Open Access Article

3 - Digital Video Stabilization System by Adaptive Fuzzy Kalman Filtering
Mohammad javad Tanakian Mehdi Rezaei Farahnaz Mohanna

10.7508/jist.2013.04.003

Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional camera movements. In this article, we propose a no More

Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional camera movements. In this article, we propose a novel DVS algorithm that compensates the camera jitters applying an adaptive fuzzy filter on the global motion of video frames. The adaptive fuzzy filter is a Kalman filter which is tuned by a fuzzy system adaptively to the camera motion characteristics. The fuzzy system is also tuned during operation according to the amount of camera jitters. The fuzzy system uses two inputs which are quantitative representations of the unwanted and the intentional camera movements. Since motion estimation is a computation intensive operation, the global motion of video frames is estimated based on the block motion vectors which resulted by video encoder during motion estimation operation. Furthermore, the proposed method also utilizes an adaptive criterion for filtering and validation of motion vectors. Experimental results indicate a good performance for the proposed algorithm. Manuscript profile

Open Access Article

4 - Video Transmission Using New Adaptive Modulation and Coding Scheme in OFDM based Cognitive Radio
Hassan Farsi Farid Jafarian

10.7508/jist.2013.04.005

As Cognitive Radio (CR) used in video applications, user-comprehended video quality practiced by secondary users is an important metric to judge effectiveness of CR technologies. We propose a new adaptive modulation and coding (AMC) scheme for CR, which is OFDM based sy More

As Cognitive Radio (CR) used in video applications, user-comprehended video quality practiced by secondary users is an important metric to judge effectiveness of CR technologies. We propose a new adaptive modulation and coding (AMC) scheme for CR, which is OFDM based system that is compliant with the IEEE.802.16. The proposed CR alters its modulation and coding rate to provide high quality system. In this scheme, CR using its ability to consciousness of various parameters including knowledge of the white holes in the channel spectrum via channel sensing, SNR, carrier to interference and noise ratio (CINR), and Modulation order Product code Rate (MPR) selects an optimum modulation and coding rate. In this scheme, we model the AMC function using Artificial Neural Network (ANN). Since AMC is naturally a non-liner function, ANN is selected to model this function. In order to achieve more accurate model, Genetic algorithm (GA) and Particle Swarm Optimization (PSO) are selected to optimize the function representing relationship between inputs and outputs of ANN, i.e., AMC model. Inputs of ANN are CR knowledge parameters, and the outputs are modulation type and coding rate. Presenting a perfect AMC model is advantage of this scheme because of considering all impressive parameters including CINR, available bandwidth, SNR and MPR to select optimum modulation and coding rate. Also, we show that in this application, GA rather than PSO is better choice for optimization algorithm. Manuscript profile

Open Access Article

5 - A New Recursive Algorithm for Universal Coding of Integers
Mehdi Nangir Hamid Behroozi Mohammad Reza Aref

10.7508/jist.2015.01.001

In this paper, we aim to encode the set of all positive integers so that the codewords not only be uniquely decodable but also be an instantaneous set of binary sequences. Elias introduces three recursive algorithms for universal coding of positive integers where each c More

In this paper, we aim to encode the set of all positive integers so that the codewords not only be uniquely decodable but also be an instantaneous set of binary sequences. Elias introduces three recursive algorithms for universal coding of positive integers where each codeword contains binary representation of the integer plus an attachment portion that gives some information about the first part [1]. On the other hand, Fibonacci coding which is based on Fibonacci numbers is also introduced by Apostolico and Fraenkel for coding of integers [2]. In this paper, we propose a new lossless recursive algorithm for universal coding of positive integers based on both recursive algorithms and Fibonacci coding scheme without using any knowledge about the source statistics [3].The coding schemes which don’t use the source statistics is called universal coding, in these universal coding schemes we should use a universal decoding scheme in the receiver side of communication system. All of these encoding and decoding schemes assign binary streams to positive integers and conversely, without any need of use to probability masses over positive integers. We show that if we use Fibonacci coding in the first part of each codeword we can achieve shorter expected codeword length than Elias Omega code. In addition, our proposed algorithm has low complexity of encoding and decoding procedures. Manuscript profile

Open Access Article

6 - Joint Source and Channel Analysis for Scalable Video Coding Using Vector Quantization over OFDM System
Farid Jafarian Hassan Farsi

10.7508/jist.2014.04.008

Conventional wireless video encoders employ variable-length entropy encoding and predictive coding to achieve high compression ratio but these techniques render the extremely sensitive encoded bit-stream to channel errors. To prevent error propagation, it is necessary t More

Conventional wireless video encoders employ variable-length entropy encoding and predictive coding to achieve high compression ratio but these techniques render the extremely sensitive encoded bit-stream to channel errors. To prevent error propagation, it is necessary to employ various additional error correction techniques. In contrast, alternative technique, vector quantization (VQ), which doesn’t use variable-length entropy encoding, have the ability to impede such an error through the use of fix-length code-words. In this paper, we address the problem of analysis of joint source and channel for VQ based scalable video coding (VQ-SVC). We introduce intra-mode VQ-SVC and VQ-3D-DCT SVC, which offer similar compression performance to intra-mode H.264 and 3D-DCT respectively, while offering inherent error resilience. In intra-mode VQ-SVC, 2D-DCT and in VQ-3D-DCT SVC, 3D-DCT is applied on video frames to exploit DCT coefficients then VQ is employed to prepare the codebook of DCT coefficients. In this low bitrate video codecs, high level robustness is needed against the wireless channel fluctuations. To achieve such robustness, we propose and calculate optimal codebook of VQ-SVC and optimal channel code rate using joint source and channel coding (JSCC) technique. Next, the analysis is developed for transmission of video using an OFDM system over multipath Rayleigh fading and AWGN channel. Finally, we report the performance of these schemes to minimize end-to-end distortion over the wireless channel. Manuscript profile

Open Access Article

7 - Better Performance of New Generation of Digital Video Broadcasting-terrestrial (DVB-T2) Using Alamouti scheme with Cyclic Delay Diversity
Behnam Akbarian Saeed Ghazi-Maghrebi

10.7508/jist.2015.02.006

The goal of the future terrestrial digital video broadcasting (DVB-T) standard is to employ diversity and spatial multiplexing in order to achieve the fully multiple-input multiple-output (MIMO) channel capacity. The DVB-T2 standard targets an improved system performanc More

The goal of the future terrestrial digital video broadcasting (DVB-T) standard is to employ diversity and spatial multiplexing in order to achieve the fully multiple-input multiple-output (MIMO) channel capacity. The DVB-T2 standard targets an improved system performance throughput by at least 30% over the DVB-T. The DVB-T2 enhances the performance using improved coding methods, modulation techniques and multiple antenna technologies. After a brief presentation of the antenna diversity technique and its properties, we introduce the fact of the well-known Alamouti decoding scheme cannot be simply used over the frequency selective channels. In other words, the Alamouti Space-Frequency coding in DVB-T2 provides additional diversity. However, the performance degrades in highly frequency-selective channels, because the channel frequency response is not necessarily flat over the entire Alamouti block code. The objective of this work is to present an enhanced Alamouti space frequency block decoding scheme for MIMO and orthogonal frequency-division multiplexing (OFDM) systems using the delay diversity techniques over highly frequency selective channels. Also, we investigate the properties of the proposed scheme over different channels. Specifically, we show that the Alamouti scheme with using Cyclic Delay Diversity (CDD) over some particular channels has the better performance. Then, we exemplarity implement this scheme to the DVB-T2 system. Simulation results confirm that the proposed scheme has lower bit error rate (BER), especially for high SNRs, with respect to the standard Alamouti decoder over highly frequency-selective channels such as single frequency networks (SFN). Furthermore, the new scheme allows a high reliability and tolerability. The other advantages of the proposed method are its simplicity, flexibility and standard compatibility with respect to the conventional methods. Manuscript profile

Open Access Article

8 - A new Sparse Coding Approach for Human Face and Action Recognition
Mohsen Nikpoor Mohammad Reza Karami-Mollaei Reza Ghaderi

10.7508/jist.2017.17.003

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image, video and etc. In the cases where we have some similar images from the different classes, using the sparse coding method the images may be classified into More

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image, video and etc. In the cases where we have some similar images from the different classes, using the sparse coding method the images may be classified into the same class and devalue classification performance. In this paper, we propose an Affine Graph Regularized Sparse Coding approach for resolving this problem. We apply the sparse coding and graph regularized sparse coding approaches by adding the affinity constraint to the objective function to improve the recognition rate. Several experiments has been done on well-known face datasets such as ORL and YALE. The first experiment has been done on ORL dataset for face recognition and the second one has been done on YALE dataset for face expression detection. Both experiments have been compared with the basic approaches for evaluating the proposed method. The simulation results show that the proposed method can significantly outperform previous methods in face classification. In addition, the proposed method is applied to KTH action dataset and the results show that the proposed sparse coding approach could be applied for action recognition applications too. Manuscript profile

Open Access Article

9 - SSIM-Based Fuzzy Video Rate Controller for Variable Bit Rate Applications of Scalable HEVC
Farhad Raufmehr Mehdi Rezaei

10.7508/jist.2019.03.004

Scalable High Efficiency Video Coding (SHVC) is the scalable extension of the latest video coding standard H.265/HEVC. Video rate control algorithm is out of the scope of video coding standards. Appropriate rate control algorithms are designed for various applications t More

Scalable High Efficiency Video Coding (SHVC) is the scalable extension of the latest video coding standard H.265/HEVC. Video rate control algorithm is out of the scope of video coding standards. Appropriate rate control algorithms are designed for various applications to overcome practical constraints such as bandwidth and buffering constraints. In most of the scalable video applications, such as video on demand (VoD) and broadcasting applications, encoded bitstreams with variable bit rates are preferred to bitstreams with constant bit rates. In variable bit rate (VBR) applications, the tolerable delay is relatively high. Therefore, we utilize a larger buffer to allow more variations in bitrate to provide smooth and high visual quality of output video. In this paper, we propose a fuzzy video rate controller appropriate for VBR applications of SHVC. A fuzzy controller is used for each layer of scalable video to minimize the fluctuation of QP at the frame level while the buffering constraint is obeyed for any number of layers received by a decoder. The proposed rate controller utilizes the well-known structural similarity index (SSIM) as a quality metric to increase the visual quality of the output video. The proposed rate control algorithm is implemented in HEVC reference software and comprehensive experiments are executed to tune the fuzzy controllers and also to evaluate the performance of the algorithm. Experimental results show a high performance for the proposed algorithm in terms of rate control, visual quality, and rate-distortion performance. Manuscript profile

Open Access Article

10 - A New Capacity Theorem for the Gaussian Channel with Two-sided Input and Noise Dependent State Information
Nima S. Anzabi-Nezhad Ghosheh Abed Hodtani

10.7508/jist.2019.04.005

Gaussian interference known at the transmitter can be fully canceled in a Gaussian communication channel employing dirty paper coding, as Costa shows, when interference is independent of the channel noise and when the channel input designed independently of the interfer More

Gaussian interference known at the transmitter can be fully canceled in a Gaussian communication channel employing dirty paper coding, as Costa shows, when interference is independent of the channel noise and when the channel input designed independently of the interference. In this paper, a new and general version of the Gaussian channel in presence of two-sided state information correlated to the channel input and noise is considered. Determining a general achievable rate for the channel and obtaining the capacity in a non-limiting case, we try to analyze and solve the Gaussian version of the Cover-Chiang theorem mathematically and information-theoretically. Our capacity theorem, while including all previous theorems as its special cases, explains situations that can not be analyzed by them; for example, the effect of the correlation between the side information and the channel input on the capacity of the channel that can not be analyzed with Costa’s “writing on dirty paper" theorem. Meanwhile, we try to exemplify the concept of “cognition" of the transmitter or the receiver on a variable (here, the channel noise) with the information-theoretic concept of “side information" correlated to that variable and known at the transmitter or at the receiver. According to our theorem, the channel capacity is an increasing function of the mutual information of the side information and the channel noise. Manuscript profile

Open Access Article

11 - Adaptive Compression of Wide-Band Speech and Audio Using Wavelet Transform
M. H. Savoji

The design of a new codec at 32 kb/s for audio and high quality speech (bandwidth limited to 7 kHz and sampled at 16 kHz with 16 b/sample) is presented in this paper. This codec is a good substitute for the G721 ITU Standard and its 64 kb/s variant G722 that are based o More

The design of a new codec at 32 kb/s for audio and high quality speech (bandwidth limited to 7 kHz and sampled at 16 kHz with 16 b/sample) is presented in this paper. This codec is a good substitute for the G721 ITU Standard and its 64 kb/s variant G722 that are based on ADPCM and dating from the late 1980s. This new codec comprises adaptive wavelet transform coding, psycho-acoustic modeling, quantization and variable length entropy and run-length coding. The novelty here is the use of a parametric wavelet kernel and the way the wavelet packet tree (WPT) is expanded so that better matching is achieved with critical acoustic bands. The explicit kernel permits to control the sharpness of the basic half-band filter of which the filter used in the Fast Wavelet Transform (FWT) coding are derived. The psycho-acoustic modeling of MPEG1-Audio is used but instead of employing power spectrum for calculating the Signal-to-Mask ratio (S/M), we have directly used the energies of WPT output signals. As a consequence, the computation cost is reduced. The number of quantization bits in each band is controlled by the corresponding S/M ratio. The Variable Length Coding (VLC) used here is an extension of JPEG Huffman coding where some modifications are made to adapt this scheme to speech characteristics. The developed codec has the capability of reducing the bit-rate and controlling the required quality by changing the S/M ratios. Therefore, it can be used for fixed capacity channels by the same token. It is shown that this scheme has a very good quality at 32 kb/s and that the coded signal is quite indistinguishable from the PCM signal digitized at 16 kHz and 16 b/sample. Manuscript profile

Open Access Article

12 - Speech Coding Using Non-linear Prediction Based on Volterra Series Expansion
M. H. Savoji Gh. Alipoor

In recent years there has been a growing interest to employ non-linear predictive techniques and models in speech coding to further reduce bit-rate and therefore channel bandwidth. Usually neural nets are used for this purpose that result in an additional up to 3dB redu More

In recent years there has been a growing interest to employ non-linear predictive techniques and models in speech coding to further reduce bit-rate and therefore channel bandwidth. Usually neural nets are used for this purpose that result in an additional up to 3dB reduction in the excitation signal energy. Non-linear prediction can also be performed based on Volterra series expansion wherein the expansion is usually limited to first and second terms, for simplicity (quadratic prediction). Early studies have shown that employing Volterra filters results in a much higher reduction in excitation signal energy (6 to 10 dB), as compared with neural nets. But, because of instability, this reduction can not be materialized in terms of bit-rate reduction or signal to noise improvement. This instability in the decoder is triggered by computational errors (i.e. due to quantization of the excitation signal) and high sensitivity of algorithms to these errors. In the original work, presented here, the instability in the codec is studied in both forward and backward prediction schemes using LS and LMS algorithms respectively. It is shown that stability can be obtained at the cost of losing most of saving in excitation signal energy where final reduction level is as much as for neural nets. With forward prediction, after stabilizing, in spite of a small increasing in the operational complexity for 20 to 45% of frames including the quadratic term will be beneficial. So a scheme is developed to perform non-linear prediction only on these frames. This algorithm results in an improvement of up to 4 dB in final signal to noise ratio. Sequential backward quadrant prediction, although much more interesting from implementation point of view, does not lead to an appreciable better performance over linear prediction. Manuscript profile

Open Access Article

13 - Throughput Optimization in a Broadcast Network Using Adaptive Modulation, Coding and Transmit Power Provisioning Security Constraint
M. Taki

A new transmission scheme is presented to improve utilization of resource in a broadcast network provisioning physical layer security. In the designed scheme, data of each user is only detectable at its corresponding receiver with a proper bit error rate (BER), while de More

A new transmission scheme is presented to improve utilization of resource in a broadcast network provisioning physical layer security. In the designed scheme, data of each user is only detectable at its corresponding receiver with a proper bit error rate (BER), while detection BER at other unintended receivers is high enough for improper detection. Adaptive modulation, coding and transmit power is utilized based on the SNRs. Exact and approximate solutions for the formulated problem are presented where approximate solution has acceptable complexity and leads to the comparable results with the exact solution. Numerical evaluations show that a performance degradation is seen at the cost of providing security. Manuscript profile

Open Access Article

14 - Spectral Shaping of Reconstruction Noise in Backward ADPCM Coding
قاسم علیپور محمدحسن ساوجی

The main idea in ADPCM coding is to remove the redundancies of the speech signal before quantization. One of the important characteristics of this coding scheme is the spectral flatness of the reconstruction noise in spite of its low level. It has been tried, in the pre More

The main idea in ADPCM coding is to remove the redundancies of the speech signal before quantization. One of the important characteristics of this coding scheme is the spectral flatness of the reconstruction noise in spite of its low level. It has been tried, in the present research, to improve the perceptual quality of the reconstructed signal by shaping the spectrum of the reconstruction noise using an all-zero filter in the backward ADPCM coding. By doing so, a useful compromise is achieved between the level and the spectral shape of the reconstruction noise. The obtained results show an improvement in the perceptual quality of the reconstructed signal (higher PESQ score) and an increase in the noise level (lower SNR). Manuscript profile

Open Access Article

15 - Performance Improvement of Generalized Spatial Modulation in Multipath Fading Channels
A. Rezvani R. Saadat J. Abouei

Spatial Modulation(SM) is a novel method in use of multiple antenna systems. The main idea is based on information block mapping into two carrying units: a transmit symbol unit that is chosen from constellation members and second unit is the number of active antenna tha More

Spatial Modulation(SM) is a novel method in use of multiple antenna systems. The main idea is based on information block mapping into two carrying units: a transmit symbol unit that is chosen from constellation members and second unit is the number of active antenna that shows the position of transmit antenna. The use of active antenna position as an extra source of transmit data increases the bandwidth efficiency. Also it doesn't have inter-antenna interference (IAI) and inter-channel interference (ICI) and it's caused to decrease the complexity in receiver side. So SM is a competitor in multiple antenna systems like V-BLAST and space-time coding. More recently generalized spatial modulation (GSM) is presented that use some active antennas instead an active antenna. When the symbol is sent from multiple antennas, it'll get a diversity gain. In this paper we show that by using different channel coding in GSM we can improve bit error rate (BER) without decrease in bandwidth efficiency between 15-40 percent. Manuscript profile

Open Access Article

16 - Reliable Transmission based on Imperfect Channel State Information by Optimum Combination of AMC and ARQ
M. Taki R. Mahin Zaeem

In this paper, a new scheme for completely reliable transmission of the information (with an error probability tends to zero) in a wireless communication link will be proposed in which to compensate the effects of fading and multipath, adaptive modulation and coding is More

In this paper, a new scheme for completely reliable transmission of the information (with an error probability tends to zero) in a wireless communication link will be proposed in which to compensate the effects of fading and multipath, adaptive modulation and coding is used. Obviously, by the practical forward error correction it is impossible to achieve error free communication. Removing the residual error is by an auto-forwarding system. Of course, if error correction coding capability is weak, number of retransmissions will be increased to the much needed and it severely undermines the system throughput. On the other hands, strong error correction capability needs high block length codes and high transmission power which are limited in practice. In this paper, a method for optimum combination of error correction and auto forwarding is provided. In this paper, link adaptation is based on imperfect channel state information. Numerical results demonstrate efficiency of designed method. Manuscript profile

Open Access Article

17 - Reliable Transmission based on Imperfect Channel State Information by Optimum Combination of AMC and ARQ
M. Taki R. Mahin Zaeem

In this paper, a new scheme for completely reliable transmission of the information (with an error probability tends to zero) in a wireless communication link will be proposed in which to compensate the effects of fading and multipath, adaptive modulation and coding is More

In this paper, a new scheme for completely reliable transmission of the information (with an error probability tends to zero) in a wireless communication link will be proposed in which to compensate the effects of fading and multipath, adaptive modulation and coding is used. Obviously, by the practical forward error correction it is impossible to achieve error free communication. Removing the residual error is by an auto-forwarding system. Of course, if error correction coding capability is weak, number of retransmissions will be increased to the much needed and it severely undermines the system throughput. On the other hands, strong error correction capability needs high block length codes and high transmission power which are limited in practice. In this paper, a method for optimum combination of error correction and auto forwarding is provided. In this paper, link adaptation is based on imperfect channel state information. Numerical results demonstrate efficiency of designed method. Manuscript profile

Open Access Article

18 - Visual Distractors Detecting in Images Using Weighted Two Phase Test Sample Sparse Representation Method
F. Sabouri F. yaghmaee

The image observer usually wants to receive the message and the main subject of the image in the shortest time. Hence, assuming there is useful information in the salient regions, the human vision system unconsciously guides visual attention towards them. This assumptio More

The image observer usually wants to receive the message and the main subject of the image in the shortest time. Hence, assuming there is useful information in the salient regions, the human vision system unconsciously guides visual attention towards them. This assumption is not always correct in practice, and in some cases, salient regions merely cause visual distractions. Therefore, in different applications, a mechanism is needed to identify these regions. To prevent from distracting observer’s attention from the main subject, these regions are eliminated. Furthermore, neglecting these regions could be of considerable assistance to the methods that function base on salient regions recognition. So, in this paper, Based on the methods of the class imbalance challenge each segment of training images in the dataset is a partition to 9 classes according to the relevant mask in the dataset, that the number of each class is proportional to its disturbance intensity. Then, segment-based features are extracted and determining the class of each segment is determined according to WTPTSSR method, which is based on the Sparse Coding and Representation system.Finally, in order to precisely analyzing the proposed method and comparing it to other approaches, four analysis criteria with different performances are presented. According to results, despite being time-consuming, the proposed method has a higher accuracy than the previous ones. Manuscript profile

Open Access Article

19 - Traffic Patterns Detection in Video Surveillance Using Optical Flow and Topic Model
Amin Moradi Asadollah Shahbahrami Alireza Akoshideh

Research in the field of video surveillance systems has been improving because of the increasing need for intelligent monitoring, control and management. Given the large amount of data on these intelligent transportation systems, extracting patterns and automatically la More

Research in the field of video surveillance systems has been improving because of the increasing need for intelligent monitoring, control and management. Given the large amount of data on these intelligent transportation systems, extracting patterns and automatically labeling them is a challenging task. In this paper, a topic model was used to detect and extract traffic patterns at intersections so that visual patterns are transformed into visual words. The input video is first split into clips. Then, the flow characteristics of the clips, which are based on abundant local motion vector information, are computed using optical flow algorithms and converted to visual words. After that, with a non-probabilistic topic model, the traffic patterns are extracted to the designed system by a group sparse topical coding method. These patterns represent visible motion that can be used to describe a scene by answering a behavioral question such as: Where does a vehicle go? The results of the implementation of the proposed method on the QMUL video database show that the proposed method can correctly detect and display meaningful traffic patterns such as turn left, turn right and crossing a roundabout. Manuscript profile

Open Access Article

20 - Designing a model of critical success factors in human resource training
حیدریه naser gholami Hadi Ramezanian Fahndari Hossein momenimahmouei mehdi zirak

The purpose of this study is to design a model of critical success factors in human resource education. The purpose of this research is applied research and in terms of research method is mixed. On the other hand, the type of research in terms of data collection is fiel More

The purpose of this study is to design a model of critical success factors in human resource education. The purpose of this research is applied research and in terms of research method is mixed. On the other hand, the type of research in terms of data collection is field type. In the qualitative part, interviews were used to collect data. Since semi-structured interviews were used in the qualitative stage, the three-stage coding method of Strauss and Corbin (1998) was used to analyze the data. In the second stage of research and construction of the questionnaire, a quantitative method was used to test the proposed model and in this stage, structural equation modeling was used. The statistical population of the employees of Iran State Trading Company and its affiliated offices was 2756 people. The calculated alpha coefficient for the researcher-made questionnaire was 0.867, which confirms the reliability of the research tool. Mean and standard deviation were used to analyze the data and in the inferential statistics section, confirmatory factor analysis was used with the help of Lisrel 8.80 software. The results of factors ﻋﻠ ای, contextual, strategic, intervening, ﭘﯿﺎﻣﺪﻫﺎ and ﻣﻮﺛﺮ ﻣﻮﺛﺮ on the success of human resource training of the State Trading Company of Iran were identified. Also, factors ﻣﺪﻣﺪ ﮔﺮ, زﻣﯿﻨﻪ ای, رادی and ﻋﻠﻋﻠ تاثیر have an effect on the success of human resources training of Iran State Trading Company. Manuscript profile

Open Access Article

21 - Presenting a Framework for Developing Ecotourism in Kermanshah Province's Target tourism Villages
heshmat moradi Alireza Poursaeid Marjan vahedi mohamad bagher Arayesh

10.52547/journalitor.36274.10.19.115

Ecotourism is a sustainable strategy for earning revenues while preserving natural resources. Therefore, this study set out to provide a framework for developing ecotourism in Kermanshah province's target tourism villages using grounded theory. The required data were c More

Ecotourism is a sustainable strategy for earning revenues while preserving natural resources. Therefore, this study set out to provide a framework for developing ecotourism in Kermanshah province's target tourism villages using grounded theory. The required data were collected via semi-structured interviews with 20 experts who were selected through snowball sampling. The collected data were then analyzed in Maxqda12 software using open coding, axial coding, and selective coding approach, resulting in 433 codes, 124 concepts, 23 sub-categories, and 6 main categories. The main categories of the model included causal categories (participatory, economic, regional attractions and potentials, policy, social and cultural, managerial, infrastructure, ecotourism services and facilities, and the core category of ecotourism development), intervening categories (economic, managerial, and educational), strategic categories (economic and educational), and consequential categories (positive and negative economic consequences, and social, cultural and environmental consequences) were grouped together in a paradigmatic framework. Manuscript profile

Open Access Article

22 - Studying factors affecting communication skills in government organizations
Davood Kiakojouri

Organizational communication includes a process in which two or more units of a group exchange the information they need through an exchange of opinions, and since communication is one of the primary elements of management, managers must communicate effectively with the More

Organizational communication includes a process in which two or more units of a group exchange the information they need through an exchange of opinions, and since communication is one of the primary elements of management, managers must communicate effectively with the people of the group or their peers at different levels. establish that this research is a mixed research design of an exploratory type, so quantitative and qualitative data are combined with each other by the method of connecting data, that is, connecting two sets of data by building one on the basis of the other. In the following, using in-depth and semi-structured interviews with 15 managers of the national sample using the snowball interview technique, and after theoretical ghosting, the collected data sets were organized using MAXQDA10 software and coding techniques. Then, for scaling, the calculation of face validity, content validity (CVR) and (CVI) and exploratory and confirmatory factor analysis were used, and by distributing 500 questionnaires among 25 executive bodies of Gilan province and collecting 429 questionnaires, hypotheses were tested using the Pearson correlation method. Conducting and confirming all hypotheses and the final research model for the communication skills of managers in government organizations including information exchange, feedback, situational, technology application, analytical-perceptual, cognitive-behavioral and social skills were presented. Manuscript profile

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