Surveillance cameras are installed in security sensitive areas such as banks , train stations , highways , and borders . In computer vision , moving object detection and tracking methods are the most important preliminary steps for higher-level video analysis applications . Moving objects in moving background are an important research area of image-video processing and computer vision . Human facial tracking is an important task in computer vision , which has recently lost pace compared to other facial analysis tasks . The majority of current available tracker possess two major limitations : their little use of temporal information and the widespread use of handcrafted features , without taking full advantage of the large annotated datasets that have recently become available . The object classification using the images ’ contents is a big challenge in computer vision . The superpixels ’ information can be used to detect and classify objects in an image based on locations . Learning reusable feature representations from large unlabeled datasets has been an area of active research . In the context of computer vision , one can leverage the practically unlimited amount of unlabeled images and videos to learn good intermediate representations , which can then be used on a variety of supervised learning tasks such as image classification . We propose that one way to build good image representations is by training Generative Adversarial Networks ( GANs ) Goodfellow2014 , and later reusing parts of the generator and discriminator networks as feature extractors for supervised tasks . section : Convolutional Multilayer Kernels The convolutional multilayer kernel is a generalization of the hierarchical kernel descriptors introduced in computer vision . The kernel produces a sequence of image representations that are built on top of each other in a multilayer fashion . This microprocessor Is self-checking i.e. able to detect its own errors . Its name is COBRA for Controller with Built in self-checking for Real-time Applications . In the design of this circuit , low-level fault hypotheses for the N-MOS technology are considered . Delay is a crucial factor on the Internet especially for real-time applications like video or audio . The best-effort service model does n’t provide essential assistance to these applications because of the unstable queuing delays . To efficiently execute applications , modern embedded systems contain Globally Asynchronous Locally Synchronous ( GALS ) processors , network on chip , DRAM and SRAM memories , and system software , e.g. microkernel and communication libraries . In this paper we describe a dataflow formalisation to independently model real-time applications executing on the CompSOC platform , including new models of the entire software stack . We compare the guaranteed application throughput as computed by our tool flow to the throughput measured on an FPGA implementation of the platform , for both synthetic and real H.263 applications . The distant data centre-centric Internet of Things systems face the latency issue especially in the real-time-based applications . Recently , Fog Computing models have been introduced to overcome the latency issue by utilising the proximity-based computational resources . Multicast is a well-known protocol that has been tested to be a highly effective method to deliver real time applications over the network . In this paper , two Virtual Private Network ( VPN ) based technologies are considered in delivering real-time based applications namely Multiprotocol Label Switching ( MPLS ) and Asynchronous Transfer Mode ( ATM ) . The performance comparison of video multicast of the two technologies is described . This project describes an embedded software design in a real time operating system ( PSOS ) to controlling an robotic arm movement . Real time system typically needs to perform multiple tasks at the same time , so that Control application is very much essential for real time based applications . This project has 5 tasks . document : Detecting Oriented Text in Natural Images by Linking Segments Most state - of - the - art text detection methods are specific to horizontal Latin text and are not fast enough for real - time applications . We introduce Segment Linking ( SegLink ) , an oriented text detection method . Imitating the practice in image detection , it is straightforward to enumerate candidate 3D boxes by sliding windows or by 3D region proposal networks such as . However , the computational complexity of 3D search typically grows cubically with respect to resolution and becomes too expensive for large scenes or real - time applications such as autonomous driving . Instead , in this work , we reduce the search space following the dimension reduction principle : we take the advantage of mature 2D object detectors ( Fig . Every cloud provider solves this by encrypting data using encryption algorithm which is inadequate . The paper concludes by recommending that in addition to the traditional methods , the security of cloud computing can also be enhanced through authentication using thumb print , face , voice and image identification . Keywords : Cloud computing , Information Technology , Data Integrity , Authentication , Security and Challenges . The invention relates to a portable voice input apparatus comprising : a swivel arm with a first linear differential microphone array comprising at least a pair of microphones , the directivity of said first array being arranged so as to detect the voice from a first direction depending on the orientation of said arm ; a second linear differential microphone array comprising at least a pair of microphones , the directivity of said second network being arranged so as to detect noise from a second direction different from the first direction ; a noise reduction circuit for supplying a speech signal with reduced noise , based on the output signal of said first network and the output of said second network . The invention also relates to a device comprising said apparatus and a method for detecting the voice . This study proposes a generic architecture for providing secure information in P2P IP Networks . Some secure techniques and components are shown to guarantee privacy of voice mail service . This new architecture is scalable and generic for providing other secure services for IP Telephony in distributed systems . This constitutes a significant improvement over our baseline voice trained on the same amount of randomly selected utterances , which performed at 42.4 % WER . In addition to subjective human voice evaluations with Amazon Mechanical Turk , we also explored objective voice evaluation using mel-cepstral distortion . We found that this measure correlates strongly with human evaluations of intelligibility , indicating that it may be a useful method to evaluate or pre-select voices in future work . Objectives/Hypothesis : This report describes a comparative study of objective voice evaluation using a multiparametric protocol including aerodynamic parameters and linear and nonlinear acoustic parameters recorded on an EVA ® workstation and perceptual voice analysis by a jury . Study Design : While physically based voice production models have potential applications in clinical intervention of voice disorders and personalized natural speech synthesis , their current use is limited due to the high computational cost associated with simulating the voice production process . In our previous studies [ Zhang 2015 , J. Acoust . This paper proposes a method that allows non-parallel many-to-many voice conversion ( VC ) by using a variant of a generative adversarial network ( GAN ) called StarGAN . Our method , which we call StarGAN-VC , is noteworthy in that it ( 1 ) requires no parallel utterances , transcriptions , or time alignment procedures for speech generator training , ( 2 ) simultaneously learns many-to-many mappings across different attribute domains using a single generator network , ( 3 ) is able to generate converted speech signals quickly enough to allow real-time implementations and ( 4 ) requires only several minutes of training examples to generate reasonably realistic sounding speech . In this demonstration we present the actual state of our work on developing an MPEG-4 based talking head for different platforms . Our latest result is an Android application for real time voice chatting with customizable voices and head models . These mentioned features will be shown in this demo . This paper discusses issues regarding the operation of algorithms for VoIP ( voice over internet protocol ) signaling . The resulting data include jitter , packet delays , delays related to signalization , distribution of packets in protocols and relative assessments of QoS ( quality of service ) and MOS ( mean opinion score ) . Speech Recognition is the methodology of consequently perceiving a certain word talked by a specific speaker taking into account singular data included in speech waves . This system makes it conceivable to utilize the speaker 's voice to confirm his/her personality and give controlled access to administrations like voice based biometrics , database access administrations , voice based dialling , phone message and remote access to PCs . Speech processing front end for extricating the feature set is a critical stage in any voice recognition system . Recently frequency domain techniques for coding digital voice have received considerable attention . Sub-band coding ( SBC ) with 2 to 12 frequency bands and a relatively low computational complexity is at one end of the scale . To aralyze the vehicle insurance claim settlement processes of telephone callback , the authors use CTI technology to control the procedure of telephone dialing , signal tone detecting , recorded voice playing , DTMF tone detecting as well as records of database updating , The related database is created via amploying SQL Server , And Visual Basic . NET is choosed to develop a set of telephone callback system for vehicle insurance claim settlement , so as to solve those problems such as telephone callback processing , client satisfaction gathering as well as quality of service supervising . section : Introduction Over the last years , thanks in part to steady improvements brought by deep learning approaches to speech recognition , voice interfaces have greatly evolved from spotting limited and predetermined keywords to understanding arbitrary formulations of a given intention . They also became much more reliable , with state - of - the - art speech recognition engines reaching human level in English . This achievement unlocked many practical applications of voice assistants which are now used in many fields from customer support , to autonomous cars , or smart homes . In particular , smart speaker adoption by the public is on the rise , with a recent study showing that nearly 20 % of U.S. adults reported having a smart speaker at home . The resulting SLU engine is lightweight and fast to execute , making it fit for deployment on small devices and the NLU component is open source . In section [ reference ] , we illustrate the high generalization accuracy of the SLU engine in the context of real - word voice assistants . Finally , we discuss in section [ reference ] a data generation procedure to automatically create training sets replacing user data . Recently , more computationally demanding approaches based on deep learning models have been proposed . Our experiments however showed that these approaches do not yield any significant gain in accuracy in the typical training size regime of custom voice assistants ( a few hundred queries ) . The lightest option was therefore favored . The audio feature extraction process is performed at 30 Hz frame rate with 100 ms sliding window . We use openSMILE , which is capable of automatic pitch and voice intensity extraction , for audio feature extraction . Prior to feature extraction audio signals are processed with voice intensity thresholding and voice normalization . Specifically , we use Z - standardization for voice normalization . In order to filter out audio segments without voice , we threshold voice intensity . IETF Mobile IPv6 design aims to solve the problem of disconnection while moving to a different network in current wireless internet by offering mobility support to devices and still maintain quality of service on both wire and wireless network . However , performance of real-time applications like VoIP and video streaming becomes so crucial on mobile network because of handover latency and associated packet loss . This paper evaluates Mobile IPv6 performance through implementing Mobile IPv6 testbed . Then move on to the installation . There is a physical infrastructure that has to exist for VOIP , including integrating analog phone systems , network , and workstations . We will devote some time to the call center workstation , their requirements and specifications . VoIP Service is provided voice & image call using internetwork unlike traditional call . VoIP usage is becoming generalization & development . As a result , threats of security are steadily increasing . VoIP usage is rapidly growing due to its cost effectiveness , dramatic functionality over the traditional telephone network and its compatibility with public switched telephone network ( PSTN ) . Internet service providers ( ISPs ) and telecommunication authorities are interested in detecting commercial usage of VoIP to either block or prioritize it . Voice over Internet Protocol ( VoIP ) , also called IP Telephony , is rapidly becoming a familiar term and technology that is invading enterprise , education and government organizations . This paper is focused on review of VoIP operation over 802.11b WLAN , the problems faced and their solutions . Main consideration is the multihop wireless network and the presence of TCP/UDP traffic . It compares channel condition parameters and threshold to determine the quality of channel conditions , If the channel conditions are good , VoIP business will be accessed to special channel , otherwise to the sharing channel . The method can distribute channel for the application of VoIP operation reasonably . Session initiation protocol ( SIP ) is used for voice over IP ( VoIP ) signaling and call control . Billing mechanisms for messaging and VoIP are typically deployed for postpaid services . Session initiation protocol ( SIP ) is a well-known protocol that is used to provide voice over IP ( VoIP ) signaling and multimedia services in today 's evolving Internet . With the popularity of peer-to-peer ( P2P ) system , it is envisioned to use SIP in P2P networks , to increase the communication flexibility without a centralized organization and control . VoIP changes over voice into computerized signal that goes over the web and the sound yield gadget makes the advanced to sound discussion at the collector side . In today 's opportunity individuals are utilizing these advancements as a part of their day by day life , for correspondence over the web however they do n't know with the security issues on VoIP discussion . There are diverse sorts of security issues with VoIP discussion . These activities require digital forensic experts to acquire , analyses , reconstruct and provide digital evidence . Meanwhile , there are various methodologies and models proposed in detecting , analysing and providing digital evidence in VoIP forensic . However , at the time of writing this paper , there is no model formalized for the reconstruction of VoIP malicious attacks . Specifically we evaluate how the amount of free bandwidth decreases as the number of calls increases and how this influences transmission impairments ( i.e. delay , loss , and jitter ) and thus degrades call quality . We show that the amount of free bandwidth is a good indicator for predicting VoIP call quality . In this paper , we have proposed a new downlink scheduling scheme , known as Quality-aware DRX ( Q-DRX ) Scheme , for Long Term Evaluation ( LTE ) wireless networks that not only improves the Quality of Service ( QoS ) to satisfy the user?s experience of multimedia services but also saves the UE?s power by using the Discontinuous Reception ( DRX ) . This paper investigates how the different durations of DRX Light and Deep Sleep cycles affect the QoS and influence the Quality of Experience ( QoE ) of end users , in the context of Voice over IP ( VoIP ) traffic delivery over the LTE wireless network . The performance of the Q-DRX scheme is evaluated with traditional scheduling schemes , in the perception of the following important parameters , System Throughput , Throughput Fairness Index , Packet Loss Rate and Packet Delay . And we conduct a test for performance analysis . Such as SRTP or ZRTP methods have been used for VoIP media encryption . But , the existing encryption techniques have problem that can not perform end-to-end encryption between different private networks . The methods are based on an equation error method and can estimate unbiased speech spectrum due to the whitened equation error . It can be considered that these speech analysis methods may be suitable for a front-end of robust speech recognition and packet loss concealment on VoIP . This paper presents output error based ELS TV-CAR speech analysis algorithm and compares the performance with the equation error based method . In this article , we will use the fuzzy comprehensive evaluation method to evaluate the performance of third-party logistics . KPI system of service performance for third-party logistics enterprises A. KPI System of customer service or third-party logistics enterprises [ 1 ] According to services content of third-party logistics , we can divide the KPI system of customer service for third-party logistics into the following three areas : warehousing management , transportation management , financial settlement . 1 ) Warehousing management Through the understanding of all the links in warehouse operations , we can know that the indicator system of warehouse management can be evaluated in four aspects : inventory accuracy , warehousing accuracy , outputting accuracy , cargo damage rate . This report presents guidance for practitioners on the use of positional , or spatial , data in Geographic Information Systems ( GIS ) for transportation applications . As GIS applications become more common in transportation system management and decision making , concerns have grown about the accuracy of the data used to populate them . Transportation spatial data usually describes the location of features on the highway system using a one-dimensional linear referencing system . Arterial performance measurement is a critical issue for transportation system management , traveler information , and real-time situation-aware routing . In many urban areas current information on freeway conditions is available , appropriately given the large amount of travel that occurs on these facilities . RFID(Radio Frequency Identification ) use wireless RF achieve data exchange between movable storage equipment and computer or PLC.A typical RFID system consists of hardware contained codes(data memory),and communications antenna , and the controller for Processing of communications between antenna and PC(or PLC)(with controller integrated antenna , we call CD devices or reading devices).RF identification technology is widely used in industrial automation , business automation , transportation control management , security , and many other fields , and even military purposes . RFID products are many types , such as TI , Motorola , Philips , Microchip and the other world famous manufacturer production RFID products have different features and become the series . RFID has been widely used in industrial automation , commercial automation , transportation control management and many other fields such as car or train traffic monitoring system , the highway to be automatic charge system , item management , production line automation , entrance guard system , financial transactions , storage management , livestock management , vehicle anti-theft , etc . As the costs decrease and standardization using in the truth , RFID technology popularization and the universal application will be irreversible certain tendency . The RFID′s technique is able to make use of radio frequency signal to deliver information through a space matching . The technique is extensively applied in industry automation , business automation , transportation control management and logistics guarantees of the troops . This paper discusses applications of the RFID′s technique on guaranteeing in the troops pass the examples on the foundation of RFID′s technique principles . Taxi operation in the other city has seriously impaired the interests of the local taxi operator . How to prohibit taxi illegal operation in the other city without influencing taxi legal operation between the two cities becomes a difficult problem for the transportation management department . The management system of taxi operation between two cities solved the problem by introducing smart card technology into the management . How to utilize these data to support management decision is the hot spot in the deeper research . This paper proposes a design scheme of data analysis system for transportation and management , introduces the detailed design and realization of this system about data source , data acquisition , data storage and data represent . This paper provides a new idea for improving quality of work and decision-making efficiency in the traffic management business . To some extent , the algorithm can overcome the major defects of the K-means clustering algorithm , which is easily affected by outliers and unable to determine the clustering number k. This algorithm is insensitive to initial parameters , and can discover clusters of arbitrary shape and can find optimal clustering . Moreover , by taking the problem of platform setting for city transportation network which can be used in transportation management command system as an example , the application of the density-based K-means clustering algorithm is illustrated . The transportation management information system is the basic ensurement for traffic safety . Through analyzing the design of today 's transportation management information system , the signal control machine is very important for safe running . In this paper a fast method is proposed to manage mobile robots for effective transportation in life science environments . The architecture of this method includes three components : the PMS for transportation request the Robot Remote Center ( RRC ) for transportation managing , and the Robot Board Center ( RBC ) for transportation executing . To include any kind and size of life science laboratories , this method adopts a standard TCP/IP network for data transmission , uses a series of extensible ceiling landmarks for robot indoor localization , utilizes a flexible map-based intelligent hybrid calculation for robot path planning , and enables collision avoidance by using a group of ultrasonic sensors and artificial potential field algorithm . Networked embedded systems used in many real-time ( RT ) applications rely on dependable communication . Controller Area Network ( CAN ) has gained wider acceptance as a standard in a large number of applications , mostly due to its cost effectiveness , predictable performance , and its fault-tolerance capability . The newest technology nodes introduce restricted power caps so that results in the utilization-wall ( also known as dark silicon ) , i.e. , the on-chip power dissipation prevents the use of all resources at full performance simultaneously . The workload of many-core systems includes real-time ( RT ) applications , which bring the application throughput as another constraint to meet . Also , dynamic workloads generate valleys and peaks of resources utilization over the time . In this paper , one of the QoS models for MANETs - SWAN is studied under varying conditions to provide both quantitative and qualitative assessments of the applicability of the model in different scenarios . Results and analysis from NS-2 based simulation indicate that ( i ) real-time ( RT ) applications in SWAN-enabled mobile ad hoc networks experience low and stable delays under various traffic and mobility environment at the expense of best-effort ( BE ) traffic , ( ii ) SWAN model works compatibly with proactive as well as reactive routing protocols . A careful choice of parameters is important to balance the throughput of the BE traffic and RT traffic and QoS provisions in MANETs . Distributed Embedded Control Systems ( DECSs ) used for Real-Time ( RT ) critical applications must satisfy stringent time requirements and attain high reliability . FTT-Ethernet provides nodes of DECSs with real-time communication capabilities , but does not include Fault Tolerance ( FT ) mechanisms . There is no doubt that the seamless integration and simulation of highly realistic autonomous virtual characters within 3D real-time applications are two important and challenging technological objectives for the virtual storytelling . The V-Man project aims at developing a Virtual Character Authoring and Animation toolkit optimized for a real-time applications .
Surveillance cameras are installed in security sensitive areas such as banks , train stations , highways , and borders . In computer vision , moving object detection and tracking methods are the most important preliminary steps for higher-level video analysis applications . Moving objects in moving background are an important research area of image-video processing and computer vision .
Human facial tracking is an important task in computer vision , which has recently lost pace compared to other facial analysis tasks . The majority of current available tracker possess two major limitations : their little use of temporal information and the widespread use of handcrafted features , without taking full advantage of the large annotated datasets that have recently become available .
The object classification using the images ’ contents is a big challenge in computer vision . The superpixels ’ information can be used to detect and classify objects in an image based on locations .
Learning reusable feature representations from large unlabeled datasets has been an area of active research . In the context of computer vision , one can leverage the practically unlimited amount of unlabeled images and videos to learn good intermediate representations , which can then be used on a variety of supervised learning tasks such as image classification . We propose that one way to build good image representations is by training Generative Adversarial Networks ( GANs ) Goodfellow2014 , and later reusing parts of the generator and discriminator networks as feature extractors for supervised tasks .
section : Convolutional Multilayer Kernels The convolutional multilayer kernel is a generalization of the hierarchical kernel descriptors introduced in computer vision . The kernel produces a sequence of image representations that are built on top of each other in a multilayer fashion .
This microprocessor Is self-checking i.e. able to detect its own errors . Its name is COBRA for Controller with Built in self-checking for Real-time Applications . In the design of this circuit , low-level fault hypotheses for the N-MOS technology are considered .
Delay is a crucial factor on the Internet especially for real-time applications like video or audio . The best-effort service model does n’t provide essential assistance to these applications because of the unstable queuing delays .
To efficiently execute applications , modern embedded systems contain Globally Asynchronous Locally Synchronous ( GALS ) processors , network on chip , DRAM and SRAM memories , and system software , e.g. microkernel and communication libraries . In this paper we describe a dataflow formalisation to independently model real-time applications executing on the CompSOC platform , including new models of the entire software stack . We compare the guaranteed application throughput as computed by our tool flow to the throughput measured on an FPGA implementation of the platform , for both synthetic and real H.263 applications .
The distant data centre-centric Internet of Things systems face the latency issue especially in the real-time-based applications . Recently , Fog Computing models have been introduced to overcome the latency issue by utilising the proximity-based computational resources .
Multicast is a well-known protocol that has been tested to be a highly effective method to deliver real time applications over the network . In this paper , two Virtual Private Network ( VPN ) based technologies are considered in delivering real-time based applications namely Multiprotocol Label Switching ( MPLS ) and Asynchronous Transfer Mode ( ATM ) . The performance comparison of video multicast of the two technologies is described .
This project describes an embedded software design in a real time operating system ( PSOS ) to controlling an robotic arm movement . Real time system typically needs to perform multiple tasks at the same time , so that Control application is very much essential for real time based applications . This project has 5 tasks .
document : Detecting Oriented Text in Natural Images by Linking Segments Most state - of - the - art text detection methods are specific to horizontal Latin text and are not fast enough for real - time applications . We introduce Segment Linking ( SegLink ) , an oriented text detection method .
Imitating the practice in image detection , it is straightforward to enumerate candidate 3D boxes by sliding windows or by 3D region proposal networks such as . However , the computational complexity of 3D search typically grows cubically with respect to resolution and becomes too expensive for large scenes or real - time applications such as autonomous driving . Instead , in this work , we reduce the search space following the dimension reduction principle : we take the advantage of mature 2D object detectors ( Fig .
Every cloud provider solves this by encrypting data using encryption algorithm which is inadequate . The paper concludes by recommending that in addition to the traditional methods , the security of cloud computing can also be enhanced through authentication using thumb print , face , voice and image identification . Keywords : Cloud computing , Information Technology , Data Integrity , Authentication , Security and Challenges .
The invention relates to a portable voice input apparatus comprising : a swivel arm with a first linear differential microphone array comprising at least a pair of microphones , the directivity of said first array being arranged so as to detect the voice from a first direction depending on the orientation of said arm ; a second linear differential microphone array comprising at least a pair of microphones , the directivity of said second network being arranged so as to detect noise from a second direction different from the first direction ; a noise reduction circuit for supplying a speech signal with reduced noise , based on the output signal of said first network and the output of said second network . The invention also relates to a device comprising said apparatus and a method for detecting the voice .
This study proposes a generic architecture for providing secure information in P2P IP Networks . Some secure techniques and components are shown to guarantee privacy of voice mail service . This new architecture is scalable and generic for providing other secure services for IP Telephony in distributed systems .
This constitutes a significant improvement over our baseline voice trained on the same amount of randomly selected utterances , which performed at 42.4 % WER . In addition to subjective human voice evaluations with Amazon Mechanical Turk , we also explored objective voice evaluation using mel-cepstral distortion . We found that this measure correlates strongly with human evaluations of intelligibility , indicating that it may be a useful method to evaluate or pre-select voices in future work .
Objectives/Hypothesis : This report describes a comparative study of objective voice evaluation using a multiparametric protocol including aerodynamic parameters and linear and nonlinear acoustic parameters recorded on an EVA ® workstation and perceptual voice analysis by a jury . Study Design :
While physically based voice production models have potential applications in clinical intervention of voice disorders and personalized natural speech synthesis , their current use is limited due to the high computational cost associated with simulating the voice production process . In our previous studies [ Zhang 2015 , J. Acoust .
This paper proposes a method that allows non-parallel many-to-many voice conversion ( VC ) by using a variant of a generative adversarial network ( GAN ) called StarGAN . Our method , which we call StarGAN-VC , is noteworthy in that it ( 1 ) requires no parallel utterances , transcriptions , or time alignment procedures for speech generator training , ( 2 ) simultaneously learns many-to-many mappings across different attribute domains using a single generator network , ( 3 ) is able to generate converted speech signals quickly enough to allow real-time implementations and ( 4 ) requires only several minutes of training examples to generate reasonably realistic sounding speech .
In this demonstration we present the actual state of our work on developing an MPEG-4 based talking head for different platforms . Our latest result is an Android application for real time voice chatting with customizable voices and head models . These mentioned features will be shown in this demo .
This paper discusses issues regarding the operation of algorithms for VoIP ( voice over internet protocol ) signaling . The resulting data include jitter , packet delays , delays related to signalization , distribution of packets in protocols and relative assessments of QoS ( quality of service ) and MOS ( mean opinion score ) .
Speech Recognition is the methodology of consequently perceiving a certain word talked by a specific speaker taking into account singular data included in speech waves . This system makes it conceivable to utilize the speaker 's voice to confirm his/her personality and give controlled access to administrations like voice based biometrics , database access administrations , voice based dialling , phone message and remote access to PCs . Speech processing front end for extricating the feature set is a critical stage in any voice recognition system .
Recently frequency domain techniques for coding digital voice have received considerable attention . Sub-band coding ( SBC ) with 2 to 12 frequency bands and a relatively low computational complexity is at one end of the scale .
To aralyze the vehicle insurance claim settlement processes of telephone callback , the authors use CTI technology to control the procedure of telephone dialing , signal tone detecting , recorded voice playing , DTMF tone detecting as well as records of database updating , The related database is created via amploying SQL Server , And Visual Basic . NET is choosed to develop a set of telephone callback system for vehicle insurance claim settlement , so as to solve those problems such as telephone callback processing , client satisfaction gathering as well as quality of service supervising .
section : Introduction Over the last years , thanks in part to steady improvements brought by deep learning approaches to speech recognition , voice interfaces have greatly evolved from spotting limited and predetermined keywords to understanding arbitrary formulations of a given intention . They also became much more reliable , with state - of - the - art speech recognition engines reaching human level in English . This achievement unlocked many practical applications of voice assistants which are now used in many fields from customer support , to autonomous cars , or smart homes . In particular , smart speaker adoption by the public is on the rise , with a recent study showing that nearly 20 % of U.S. adults reported having a smart speaker at home .
The resulting SLU engine is lightweight and fast to execute , making it fit for deployment on small devices and the NLU component is open source . In section [ reference ] , we illustrate the high generalization accuracy of the SLU engine in the context of real - word voice assistants . Finally , we discuss in section [ reference ] a data generation procedure to automatically create training sets replacing user data .
Recently , more computationally demanding approaches based on deep learning models have been proposed . Our experiments however showed that these approaches do not yield any significant gain in accuracy in the typical training size regime of custom voice assistants ( a few hundred queries ) . The lightest option was therefore favored .
The audio feature extraction process is performed at 30 Hz frame rate with 100 ms sliding window . We use openSMILE , which is capable of automatic pitch and voice intensity extraction , for audio feature extraction . Prior to feature extraction audio signals are processed with voice intensity thresholding and voice normalization . Specifically , we use Z - standardization for voice normalization . In order to filter out audio segments without voice , we threshold voice intensity .
IETF Mobile IPv6 design aims to solve the problem of disconnection while moving to a different network in current wireless internet by offering mobility support to devices and still maintain quality of service on both wire and wireless network . However , performance of real-time applications like VoIP and video streaming becomes so crucial on mobile network because of handover latency and associated packet loss . This paper evaluates Mobile IPv6 performance through implementing Mobile IPv6 testbed .
Then move on to the installation . There is a physical infrastructure that has to exist for VOIP , including integrating analog phone systems , network , and workstations . We will devote some time to the call center workstation , their requirements and specifications .
VoIP Service is provided voice & image call using internetwork unlike traditional call . VoIP usage is becoming generalization & development . As a result , threats of security are steadily increasing .
VoIP usage is rapidly growing due to its cost effectiveness , dramatic functionality over the traditional telephone network and its compatibility with public switched telephone network ( PSTN ) . Internet service providers ( ISPs ) and telecommunication authorities are interested in detecting commercial usage of VoIP to either block or prioritize it .
Voice over Internet Protocol ( VoIP ) , also called IP Telephony , is rapidly becoming a familiar term and technology that is invading enterprise , education and government organizations . This paper is focused on review of VoIP operation over 802.11b WLAN , the problems faced and their solutions . Main consideration is the multihop wireless network and the presence of TCP/UDP traffic .
It compares channel condition parameters and threshold to determine the quality of channel conditions , If the channel conditions are good , VoIP business will be accessed to special channel , otherwise to the sharing channel . The method can distribute channel for the application of VoIP operation reasonably .
Session initiation protocol ( SIP ) is used for voice over IP ( VoIP ) signaling and call control . Billing mechanisms for messaging and VoIP are typically deployed for postpaid services .
Session initiation protocol ( SIP ) is a well-known protocol that is used to provide voice over IP ( VoIP ) signaling and multimedia services in today 's evolving Internet . With the popularity of peer-to-peer ( P2P ) system , it is envisioned to use SIP in P2P networks , to increase the communication flexibility without a centralized organization and control .
VoIP changes over voice into computerized signal that goes over the web and the sound yield gadget makes the advanced to sound discussion at the collector side . In today 's opportunity individuals are utilizing these advancements as a part of their day by day life , for correspondence over the web however they do n't know with the security issues on VoIP discussion . There are diverse sorts of security issues with VoIP discussion .
These activities require digital forensic experts to acquire , analyses , reconstruct and provide digital evidence . Meanwhile , there are various methodologies and models proposed in detecting , analysing and providing digital evidence in VoIP forensic . However , at the time of writing this paper , there is no model formalized for the reconstruction of VoIP malicious attacks .
Specifically we evaluate how the amount of free bandwidth decreases as the number of calls increases and how this influences transmission impairments ( i.e. delay , loss , and jitter ) and thus degrades call quality . We show that the amount of free bandwidth is a good indicator for predicting VoIP call quality .
In this paper , we have proposed a new downlink scheduling scheme , known as Quality-aware DRX ( Q-DRX ) Scheme , for Long Term Evaluation ( LTE ) wireless networks that not only improves the Quality of Service ( QoS ) to satisfy the user?s experience of multimedia services but also saves the UE?s power by using the Discontinuous Reception ( DRX ) . This paper investigates how the different durations of DRX Light and Deep Sleep cycles affect the QoS and influence the Quality of Experience ( QoE ) of end users , in the context of Voice over IP ( VoIP ) traffic delivery over the LTE wireless network . The performance of the Q-DRX scheme is evaluated with traditional scheduling schemes , in the perception of the following important parameters , System Throughput , Throughput Fairness Index , Packet Loss Rate and Packet Delay .
And we conduct a test for performance analysis . Such as SRTP or ZRTP methods have been used for VoIP media encryption . But , the existing encryption techniques have problem that can not perform end-to-end encryption between different private networks .
The methods are based on an equation error method and can estimate unbiased speech spectrum due to the whitened equation error . It can be considered that these speech analysis methods may be suitable for a front-end of robust speech recognition and packet loss concealment on VoIP . This paper presents output error based ELS TV-CAR speech analysis algorithm and compares the performance with the equation error based method .
In this article , we will use the fuzzy comprehensive evaluation method to evaluate the performance of third-party logistics . KPI system of service performance for third-party logistics enterprises A. KPI System of customer service or third-party logistics enterprises [ 1 ] According to services content of third-party logistics , we can divide the KPI system of customer service for third-party logistics into the following three areas : warehousing management , transportation management , financial settlement . 1 ) Warehousing management Through the understanding of all the links in warehouse operations , we can know that the indicator system of warehouse management can be evaluated in four aspects : inventory accuracy , warehousing accuracy , outputting accuracy , cargo damage rate .
This report presents guidance for practitioners on the use of positional , or spatial , data in Geographic Information Systems ( GIS ) for transportation applications . As GIS applications become more common in transportation system management and decision making , concerns have grown about the accuracy of the data used to populate them . Transportation spatial data usually describes the location of features on the highway system using a one-dimensional linear referencing system .
Arterial performance measurement is a critical issue for transportation system management , traveler information , and real-time situation-aware routing . In many urban areas current information on freeway conditions is available , appropriately given the large amount of travel that occurs on these facilities .
RFID(Radio Frequency Identification ) use wireless RF achieve data exchange between movable storage equipment and computer or PLC.A typical RFID system consists of hardware contained codes(data memory),and communications antenna , and the controller for Processing of communications between antenna and PC(or PLC)(with controller integrated antenna , we call CD devices or reading devices).RF identification technology is widely used in industrial automation , business automation , transportation control management , security , and many other fields , and even military purposes .
RFID products are many types , such as TI , Motorola , Philips , Microchip and the other world famous manufacturer production RFID products have different features and become the series . RFID has been widely used in industrial automation , commercial automation , transportation control management and many other fields such as car or train traffic monitoring system , the highway to be automatic charge system , item management , production line automation , entrance guard system , financial transactions , storage management , livestock management , vehicle anti-theft , etc . As the costs decrease and standardization using in the truth , RFID technology popularization and the universal application will be irreversible certain tendency .
The RFID′s technique is able to make use of radio frequency signal to deliver information through a space matching . The technique is extensively applied in industry automation , business automation , transportation control management and logistics guarantees of the troops . This paper discusses applications of the RFID′s technique on guaranteeing in the troops pass the examples on the foundation of RFID′s technique principles .
Taxi operation in the other city has seriously impaired the interests of the local taxi operator . How to prohibit taxi illegal operation in the other city without influencing taxi legal operation between the two cities becomes a difficult problem for the transportation management department . The management system of taxi operation between two cities solved the problem by introducing smart card technology into the management .
How to utilize these data to support management decision is the hot spot in the deeper research . This paper proposes a design scheme of data analysis system for transportation and management , introduces the detailed design and realization of this system about data source , data acquisition , data storage and data represent . This paper provides a new idea for improving quality of work and decision-making efficiency in the traffic management business .
To some extent , the algorithm can overcome the major defects of the K-means clustering algorithm , which is easily affected by outliers and unable to determine the clustering number k. This algorithm is insensitive to initial parameters , and can discover clusters of arbitrary shape and can find optimal clustering . Moreover , by taking the problem of platform setting for city transportation network which can be used in transportation management command system as an example , the application of the density-based K-means clustering algorithm is illustrated .
The transportation management information system is the basic ensurement for traffic safety . Through analyzing the design of today 's transportation management information system , the signal control machine is very important for safe running .
In this paper a fast method is proposed to manage mobile robots for effective transportation in life science environments . The architecture of this method includes three components : the PMS for transportation request the Robot Remote Center ( RRC ) for transportation managing , and the Robot Board Center ( RBC ) for transportation executing . To include any kind and size of life science laboratories , this method adopts a standard TCP/IP network for data transmission , uses a series of extensible ceiling landmarks for robot indoor localization , utilizes a flexible map-based intelligent hybrid calculation for robot path planning , and enables collision avoidance by using a group of ultrasonic sensors and artificial potential field algorithm .
Networked embedded systems used in many real-time ( RT ) applications rely on dependable communication . Controller Area Network ( CAN ) has gained wider acceptance as a standard in a large number of applications , mostly due to its cost effectiveness , predictable performance , and its fault-tolerance capability .
The newest technology nodes introduce restricted power caps so that results in the utilization-wall ( also known as dark silicon ) , i.e. , the on-chip power dissipation prevents the use of all resources at full performance simultaneously . The workload of many-core systems includes real-time ( RT ) applications , which bring the application throughput as another constraint to meet . Also , dynamic workloads generate valleys and peaks of resources utilization over the time .
In this paper , one of the QoS models for MANETs - SWAN is studied under varying conditions to provide both quantitative and qualitative assessments of the applicability of the model in different scenarios . Results and analysis from NS-2 based simulation indicate that ( i ) real-time ( RT ) applications in SWAN-enabled mobile ad hoc networks experience low and stable delays under various traffic and mobility environment at the expense of best-effort ( BE ) traffic , ( ii ) SWAN model works compatibly with proactive as well as reactive routing protocols . A careful choice of parameters is important to balance the throughput of the BE traffic and RT traffic and QoS provisions in MANETs .
Distributed Embedded Control Systems ( DECSs ) used for Real-Time ( RT ) critical applications must satisfy stringent time requirements and attain high reliability . FTT-Ethernet provides nodes of DECSs with real-time communication capabilities , but does not include Fault Tolerance ( FT ) mechanisms .
There is no doubt that the seamless integration and simulation of highly realistic autonomous virtual characters within 3D real-time applications are two important and challenging technological objectives for the virtual storytelling . The V-Man project aims at developing a Virtual Character Authoring and Animation toolkit optimized for a real-time applications .
MOTION DETECTION IN MOVING BACKGROUND USING ORB FEATURE MATCHING AND AFFINE TRANSFORM Fully End-to-End Composite Recurrent Convolution Network for Deformable Facial Tracking In The Wild A Hybrid Proposed Framework for Object Detection and Classification Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Convolutional Kernel Networks DESIGN OF A SELF-CHECKING MICROPROCESSOR FOR REAL-TIME APPLICATIONS Statistical Analysis of Packet Delay Time and Variation on the Internet Dataflow formalisation of real-time streaming applications on a Composable and Predictable Multi-Processor SOC mePaaS: Mobile-Embedded Platform as a Service for Distributing Fog Computing to Edge Nodes Performance comparison of video multicasting over Asynchronous Transfer Mode (ATM) & Multiprotocol Label Switching (MPLS) networks Implementation of TCP/IP using pSOS Detecting Oriented Text in Natural Images by Linking Segments Frustum PointNets for 3D Object Detection from RGB-D Data Enhancement Data Security in Cloud Computing: Issues and Challenges Apparatus and method for capturing and processing the voice. Providing Secure Services in Peer-to-Peer Communications Networks with Central Security Servers A Comparison of Speaker-based and Utterance-based Data Selection for Text-to-Speech Synthesis Objective Voice Analysis in Dysphonic Patients: New Data Including Nonlinear Measurements Toward real-time physically-based voice synthesis StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks An MPEG-4 based talking head for real time voice chatting on Android platform Investigation of Algorithms for VoIP Signaling Execution of a Voice - Based Attendence System A 32 sub-band/transform coder incorporating vector quantizing for adaptive bit allocation Design and Implementation of a Telephone Callback System for Vehicle Insurance Claim Settlement Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling IPv6 mobility: performance evaluation of VoIP on MIPv6 VOIP in a university call center Analysis of key technologies related to VoIP security Research on VoIP traffic detection Performance problems of VoIP in 802.11 wireless mesh networks & their solutions Channel distribution method Prepaid mechanism of VoIP and messaging services Next generation protocol for P2P SIP communication Surveying Attacks on Communication over Internet MODELLING BASED APPROACH FOR RECONSTRUCTING EVIDENCE OF VOIP MALICIOUS ATTACKS Effect of free bandwidth on VoIP performance in 802.11b WLAN networks QoE/QoS-aware LTE downlink scheduler for VoIP with power saving Redesign and Performance Analysis of RTP(Real-time Transport Protocol) for Encryption of VoIP Media Information between Different Communication Networks Forward and backward LP ELS-based time-varying complex speech analysis based on output error method The Performance Evaluation of third-party logistics customer service based on Fuzzy Comprehensive Evaluation QUALITY AND ACCURACY OF POSITIONAL DATA IN TRANSPORTATION Prototype for Data Fusion Using Stationary and Mobile Data Remote RF Identification Systems Theory and Applications The design and simulation of ISO14443A RFID reader antenna matching circuit based on the MFRC500 Application of the RFID′s Technique on Guaranteeing in the Troops Management System of Taxi Operation between Two Cities Based on Smart Card Research and Implementation of Data Analysis System for Transportation and Management Density-based K-means Clustering Algorithm and the Application in Complex Networks Failure Prevention,Detection and Resolute Method in Transport Signal Control Machine A fast method for mobile robot transportation in life science automation Probabilistic scheduling guarantees in distributed real-time systems under error bursts Multi-objective resource management for many-core systems A comprehensive simulation study of SWAN QoS model in MANETs with proactive and reactive routing Designing fault-diagnosis and reintegration to prevent node redundancy attrition in highly reliable control systems based on FTT-Ethernet The V-Man Project: Toward Autonomous Virtual Characters
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FG ICLR NIPS CCWC PDCAT 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition AICT/ICIW INTERSPEECH ArXiv Knowl. Based Syst. SpringSim SIGUCCS SPECTS ICWET ITRE I2MTC ETFA CCECE WFCS International Conference on Virtual Storytelling
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