IEEE Transactions on Consumer Electronics Journal Impact Factor & Information

Publisher: IEEE International Conference on Consumer Electronics; IEEE Consumer Electronics Society; IEEE Broadcast, Cable, and Consumer Electronics Society; IEEE Consumer Electronics Group, Institute of Electrical and Electronics Engineers

Journal description

The technical aspects of all consumer electronics products. Papers published concentrate on new technology oriented to consumer electronics. Many are selected from the International Conference on Consumer Electronics presentations. News of the Society's meetings and activities are also a part of this journal.

Current impact factor: 1.16

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.157
2012 Impact Factor 1.087
2011 Impact Factor 0.941
2010 Impact Factor 1.038
2009 Impact Factor 0.942
2008 Impact Factor 0.985
2007 Impact Factor 0.734
2006 Impact Factor 0.727
2005 Impact Factor 0.6
2004 Impact Factor 0.423
2003 Impact Factor 0.428
2002 Impact Factor 0.498
2001 Impact Factor 0.367
2000 Impact Factor 0.333
1999 Impact Factor 0.356
1998 Impact Factor 0.32
1997 Impact Factor 0.233
1996 Impact Factor 0.242
1995 Impact Factor 0.267
1994 Impact Factor 0.252
1993 Impact Factor 0.275
1992 Impact Factor 0.227

Impact factor over time

Impact factor
Year

Additional details

5-year impact 1.09
Cited half-life 5.30
Immediacy index 0.07
Eigenfactor 0.01
Article influence 0.31
Website IEEE Transactions on Consumer Electronics website
Other titles IEEE transactions on consumer electronics, Institute of Electrical and Electronics Engineers transactions on consumer electronics
ISSN 0098-3063
OCLC 2241216
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
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    • Author's pre-print must be accompanied with set-phrase, when accepted by IEEE for publication ("(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
    • IEEE must be informed as to the electronic address of the pre-print
    • If funding rules apply authors may post Author's post-print version in funder's designated repository
    • Author's Post-print - Publisher copyright and source must be acknowledged with citation (see above set statement)
    • Author's Post-print - Must link to publisher version with DOI
    • Publisher's version/PDF cannot be used
    • Publisher copyright and source must be acknowledged
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Demand for flash memory based storage systems is on the rise because flash memory has many advantages when compared with hard disk drives, such as lower latency and resistance to physical shock. However, flash memory permits only a limited number of program/erase (P/E) cycles, and after the guaranteed number of P/E cycles, data cannot be reliably retrieved due to uncorrectable errors. Given a target bit error rate, the guaranteed number of P/E cycles decreases as more bits are stored in one cell and as the cell size is scaled down. In this paper, a novel lifetime extension mechanism for flash memory, referred to as a gradual error correction code (GECC), is proposed. A G-ECC provides a stronger level of error correction than a standard ECC by sacrificing a small portion of storage capacity in order to store additional parity bits. The proposed method can extend the lifetime of flash memory by 124% at the cost of a 12% loss in capacity. The use of additional parity bits necessarily leads to performance loss due to increased accesses for those additional parity bits and garbage collection operations involving those bits. Thus, methods to alleviate such performance loss are proposed; these methods reduce the performance overhead from 17% (without the proposed methods) to 3% even in the worst case.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):206-214. DOI:10.1109/TCE.2015.7150595
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    ABSTRACT: Due to its mobile capability when performing house-cleaning function in absence of home owners, a cleaning robot has sufficient capacity to be fully utilized as an automatic surveillance system for indoor security. While many research efforts have been made recently to provide a robot understand the auditory environment, there are still many obstacles to overcome. One of the most serious challenges encountered in providing accurate auditory scene analysis is the presence of robot ego noise. Robot ego noise is primarily generated by the embedded motors on a robot during its operation. This paper proposes a new filterbank design based on discriminative distances within event-to-noise and event-to-event, respectively. The proposed filterbank essentially is designed to provide reliable recognition under cleaning robot ego noise through the result of event spectrum analysis. The experimental results indicate that the features extracted by the proposed filterbank are more robust than the conventional ones.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):189-196. DOI:10.1109/TCE.2015.7150593
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    ABSTRACT: This paper generalizes the capacitive touch sensing problem in a form of weighing matrices which cover Walsh-Hadamard, 4k-order Hadamard, and other types of weighing matrices. The existing regular Hadamard matrix, conference matrix, and other matrices that have a small sum of column weights, increase the signal sensitivity as well as signal-to-noise ratio for the capacitive signals. Experiments show that the proposed design approach and the various types of weighing matrices can meet the different design requirements. The results of this research show that a sophisticated weighing matrix improves sensitivity three times higher than the time-multiplexed method.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):261-269. DOI:10.1109/TCE.2015.7150602
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    ABSTRACT: As a robust method of person authentication, iris biometrics is making its way in to consumer devices such as smartphones. Current iris image acquisition devices typically work under controlled environment and constrained acquisition conditions. In this paper, the adaption of iris biometrics for unconstrained, hand-held devices such as smartphones is investigated. A prototype device is presented with full system description. This device is equipped with a single image sensor with both visible and NIR sensing capabilities. The device is analysed in terms of its optical properties and iris imaging capabilities. Preliminary results indicate that there are challenges to achieve a reliable recognition performance from the images captured using this device. Current system acquires images with marginal optical quality and spatial resolution in an unconstrained acquisition scenario for iris recognition. Nevertheless, the analyses presented in this paper indicate a similar camera module with improved optics and sensor could combine iris biometrics with conventional front camera functions such as video call and the capture of selfie images.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):137-143. DOI:10.1109/TCE.2015.7150566
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    ABSTRACT: As a near ideal biometric, iris authentication is widely used and mobile acquisition techniques are known. But iris acquisition on handheld imaging devices, such as smartphones, poses multiple, unique challenges. In this paper, a range of factors that affect the quality of iris images are reviewed. Iris size, image quality and acquisition wavelength are found to be key factors. Experimental results are presented confirming the lower limits of iris size for useful authentication performance. The authentication workflow for handheld devices is described. A case study on a current smartphone model is presented, including calculation of the pixel resolution that can be achieved with a visible-only optical system. Based on these analyses, system requirements for unconstrained acquisition in smartphones are discussed. Several design strategies are presented and key research challenges are outlined together with potential solutions.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):245-253. DOI:10.1109/TCE.2015.7150600
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    ABSTRACT: Among various infrared (IR) image based remote eye gaze tracking (REGT) methods, 2-D interpolation based methods, e.g., the cross ratio-based and homography normalization (HN)-based methods, have been widely researched owing to their highly accurate performance and simplicity with respect to hardware setup. These methods, however, can be employed only when user utilizes more than four IR light sources to obtain multiple corneal reflections projected on the image plane, i.e. glints. In this paper, a novel 2-D interpolation-based REGT method with a single IR light source is proposed, which attains both accuracy and headpose robustness. In the proposed method, the virtual glint (VG), which can substitute for the actual glint, is first estimated by utilizing the mathematical and geometrical principles established between the 3-D location of an IR light source and the corresponding glint in the image plane, and then the point of gaze (POG) is calculated by employing the HN method using the estimated VGs. The experimental results indicate that the proposed REGT method is highly competitive with conventional ones requiring multiple IR light sources, in terms of accuracy and robustness against head movements.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):254-260. DOI:10.1109/TCE.2015.7150601
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    ABSTRACT: This paper presents a magnetic resonance wireless power transfer (WPT) system that uses three coils, a planar receiver and operates at 6.78 MHz,. Effective power transfer is ensured by establishing an impedance matching condition for this WPT system. A metamaterial (MTM) array having dimensions of 20 cm ??? 30 cm is also positioned near the load coil to concentrate the magnetic field and enhance the transfer efficiency. The result is a maximal improvement of 27% in the transfer efficiency at a transfer distance of 50 cm. The impact of a ground plane on the transfer efficiency is also examined. By utilizing the MTM array, making slits on the ground plane and increasing the gap between the ground plane and the load coil, it is possible to mitigate this impact. The highest transfer efficiency improvement is about 55% at a distance of 20 cm with the ground plane. A practical laptop model is fabricated to verify the impact of the load coil angle and position on the transfer efficiency. The result shows that the maximum transfer efficiency with the laptop model is 47.58% with the load coil angle of 90 degree.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):160-166. DOI:10.1109/TCE.2015.7150569
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    ABSTRACT: This paper presents a novel mobile sink area allocation scheme for consumer based mobile robotic devices with a proven application to robotic vacuum cleaners. In the home or office environment, rooms are physically separated by walls and an automated robotic cleaner cannot make a decision about which room to move to and perform the cleaning task. Likewise, state of the art cleaning robots do not move to other rooms without direct human interference. In a smart home monitoring system, sensor nodes may be deployed to monitor each separate room. In this work, a quad tree based data gathering scheme is proposed whereby the mobile sink physically moves through every room and logically links all separated sub-networks together. The proposed scheme sequentially collects data from the monitoring environment and transmits the information back to a base station. According to the sensor nodes information, the base station can command a cleaning robot to move to a specific location in the home environment. The quad tree based data gathering scheme minimizes the data gathering tour length and time through the efficient allocation of data gathering areas. A calculated shortest path data gathering tour can efficiently be allocated to the robotic cleaner to complete the cleaning task within a minimum time period. Simulation results show that the proposed scheme can effectively allocate and control the cleaning area to the robot vacuum cleaner without any direct interference from the consumer. The performance of the proposed scheme is then validated with a set of practical sequential data gathering tours in a typical office/home environment.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):181-188. DOI:10.1109/TCE.2015.7150572
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    ABSTRACT: In the home cloud environment, the storage performance of home cloud servers, which govern connected devices and provide resources with virtualization features, is critical to improve the end-user experience. To improve the storage performance of virtualized home cloud servers in a cost-effective manner, caching schemes using flash-based solid state drives (SSD) have been widely studied. Although previous studies successfully narrow the speed gap between memory and hard disk drives, they only focused on how to manage the cache space, but were less interested in how to use the cache space efficiently taking into account the characteristics of flash-based SSD. Moreover, SSD caching is used as a read-only cache due to two well-known limitations of SSD: slow write and limited lifespan. Since storage access in virtual machines is performed in a more complex and costly manner, the limitations of SSD affect more significantly the storage performance. This paper proposes a novel SSD caching scheme and virtual disk image format, named sequential virtual disk (SVD), for achieving high-performance home cloud environments. The proposed techniques are based on the workload characteristics, in which synchronous random writes dominate, while taking into consideration the characteristics of flash memory and storage stack of the virtualized systems. Unlike previous studies, SSD is used as a read-write cache in the proposed caching scheme to effectively mitigate the performance degradation of synchronous random writes. The prototype was evaluated with some realistic workloads, through which the developed scheme was shown to allow improvement of the storage access performance by 21% to 112%, with reduction in the number of erasures on SSD by about 56% on average.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):215-221. DOI:10.1109/TCE.2015.7150596
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    ABSTRACT: Car digital video recorders (DVRs) store realtime audio/video data at flash memory storage device. Car DVR should handle a large amount of high quality multimedia data with high reliability. However, current file systems are vulnerable to sudden-power-offs and flash memory errors. This paper proposes flash-aware cluster allocation techniques and a flash-aware journaling technique. The flash-aware cluster allocation techniques can reduce the probability of file system corruptions and file fragmentations. The flash-aware journaling technique can ensure the file system consistency without significant overheads. Experiments on a simulator and a real system showed that the proposed techniques can prevent file fragmentations and file system corruptions, and they can improve the write performance and lifetime of SD card significantly.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):222-229. DOI:10.1109/TCE.2015.7150597
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    ABSTRACT: A photovoltaic (PV) system has been widely deployed in residential areas to reduce energy cost. However, it is not monitored in detail or managed in a user-friendly manner in many cases. Therefore, a PV monitoring system needs to provide both detailed monitoring of each PV module and a user-friendly way of access to the monitored data. In addition, the PV monitoring system needs to be low-cost to be widely deployed. To achieve these needs, this paper proposes a user-friendly PV monitoring system based on a low-cost power line communication (PLC). For cost reduction, the PLC module is developed without a communication modem. For detailed monitoring, the PLC modules are installed at each PV module; the data logger aggregates the monitored data of each PV module and the PV inverter. For userfriendly access, a smart app is used to show the aggregated data graphically. In the field test, the developed PV monitoring system is installed at a real PV system composed of sixteen 400 W PV module; users can figure out the status of the whole PV system through a smart device. This scheme is expected to reduce energy cost in residential areas by maintaining a PV system performance.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):175-180. DOI:10.1109/TCE.2015.7150571
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    ABSTRACT: In this paper, an efficient Iterative Companding Transform and Filtering (ICTF) technique is proposed for reducing the Peak-to-Average Power Ratio (PAPR) of Orthogonal Frequency Division Multiplexing (OFDM) signal. By means of a specially designed iterative procedure, ICTF is able to obtain both an improved Bit Error Rate (BER) and minimized Out-of-Band Interference (OBI) while reducing the PAPR significantly. A comprehensive theoretical analysis is presented, and some important results such as the achievable PAPR gain, impact of companding distortion, and selection criteria for companding parameters and maximum iteration number are derived. In particular, it is shown that the ICTF without de-companding at the receiver can offer a good BER performance. Simulations show that compared to the classic Iterative Clipping and Filtering (ICF) technique, ICTF can dramatically decrease the number of required iterations to reach the desired PAPR with low complexity. In addition, the companded OFDM symbols by the proposed ICTF technique have less in-band distortion, and lower out-of-band spectral regrowth than traditional companding schemes.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):144-150. DOI:10.1109/TCE.2015.7150567
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    ABSTRACT: Super-Resolution (SR) consists in processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. In this paper, fusion SR techniques are considered, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images, thereby increasing the high-frequency components and removing the degradations caused by the recording process of LR imaging acquisition devices. This paper follows a strategy combining the selection of the most appropriate frames and adaptive sized Macro-Blocks (MBs) together with a Multi-Camera (MC) system. This proposal optimizes the spatial and temporal correlations between the recorded sequences, and minimizes the appearance of annoying artifacts at the same time, improving the quality of the super-resolved HR sequence and reducing the computational cost by more than a factor of two. This type of image enhancement systems has many applications in Consumer Electronics appliances related to imaging. More specifically, many camera suppliers are incorporating Super-Resolution in their high-end products.
    IEEE Transactions on Consumer Electronics 05/2015; 1(2):230-235. DOI:10.1109/TCE.2015.7150598
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    ABSTRACT: Despite the rapid advancements in consumer electronics, the data transmitted by sensing devices in a smart home environment are still vulnerable to anomalies due to node faults, transmission errors, or attacks. This affects the reliability of the received sensed data and may lead to the incorrect decision making at both local (i.e., smart home) and global (i.e., smart city) levels. This study introduces a novel mobile agent-based cross-layer anomaly detection scheme, which takes into account stochastic variability in cross-layer data obtained from received data packets, and defines fuzzy logic-based soft boundaries to characterize behavior of sensor nodes. This cross-layer design approach empowers the proposed scheme to detect both node and link anomalies, and also effectively transmits mobile agents by considering the communication link-state before transmission of the mobile agent. The proposed scheme is implemented on a real testbed and a modular application software is developed to manage the anomaly detection system in the smart home. The experimental results show that the proposed scheme detects cross-layer anomalies with high accuracy and considerably reduces the energy consumption caused by the mobile agent transmission in the poor communication link-state situations.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):197-205. DOI:10.1109/TCE.2015.7150594
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    ABSTRACT: Load scheduling over cyclic electrical devices can reduce the peak power demand. In this paper, we propose a machine-learning-integrated load control (MILC) scheme for improved performance and reliability. By dynamic capacity adjustment and interactive load heuristic, MILC tries to reduce the power deviation while keeping the temperature violation ratio and switching counts within an acceptable range. A prototype of the proposed scheme has been implemented and, through experiments using load traces from a real home, we evaluate the performance of MILC. The results show that MILC reduces the peak demand from 4993 W to 4236 W and successfully decreases the power deviation by 12.1% on average.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):167-174. DOI:10.1109/TCE.2015.7150570
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    ABSTRACT: The computational complexity of the MPEG-2 to H.264/AVC transcoder, in particular the encoder, is technically challenging, but it can be reduced by reusing the information accessible in the decoding process. A low-latency mode decision algorithm performed in transform domain within the MPEG-2 decoder is proposed. The encoder stage contains two mutually exclusive intra prediction algorithms of block sizes 4x4 and 16x16 sharing the hardware logic. The shared intra prediction unit is supported by an on-chip memory organization. The proposed architecture is implemented on FPGA development board. Its implementation supports high throughputs that correspond to a real-time processing of a variety of video resolutions including QFHD 2160p at 30 fps. Furthermore, the minimal required frequency for CIF, SD and HD1080p resolutions are significantly reduced compared to the state of the art.
    IEEE Transactions on Consumer Electronics 02/2015; 61(1):81 - 89.
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    ABSTRACT: When TV recommender systems perform well, number of interactions in which their users expressed positive feedback on the recommended content is expected to be greater than the number of negative ones. This is known as class imbalance and, paradoxically, it degrades the system performance by making the identification of the programs the user will dislike increasingly difficult. As the misclassification of the unwanted content is easily perceived by TV viewers, it should be avoided by all means. In this paper, a personalized TV program guide based on neural network is described. It is shown how class imbalance information can be exploited in learning the user preferences. This not only improves the system performance, but increases the user satisfaction as well.1
    IEEE Transactions on Consumer Electronics 02/2015; 61(1):90-95. DOI:10.1109/TCE.2015.7064115
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    ABSTRACT: This paper demonstrates the implementation of indoor Bluetooth communication multi-hop networks. Since the performance of such networks determines the range of applications that they can support, the performance of Bluetooth wireless multi-hop networks is a common topic of interest. Communication network models are widely used to estimate the performance of networks in many different aspects. This paper focuses on one of the aspects, i.e., the time performance of the data transportation network of a Bluetooth multi-hop home network, and provides a novel empirical model for latency in multi-hop networks with asynchronous links when links are active. The model offers a sharp estimation of the latency added with every hop in the communication such that electronics product designers and network managers can effectively run time-constrained applications in this type of network. The model is based on the results from experiments carried out on a real test bed. The test bed includes Bluetooth nodes and proprietary middleware at the HCI (Host Controller Interface) level of communication. The experimental results show that the time performance worsens with an increasing number of hops in the communication and additionally provide evidence of the quadratic dependence on the number of hops exhibited by the latency 1.
    IEEE Transactions on Consumer Electronics 02/2015; 61(1):31-38. DOI:10.1109/TCE.2015.7064108
  • [Show abstract] [Hide abstract]
    ABSTRACT: The computational complexity of the MPEG-2 to H.264/AVC transcoder, in particular the encoder, is technically challenging, but it can be reduced by reusing the information accessible in the decoding process. A low-latency mode decision algorithm performed in transform domain within the MPEG-2 decoder is proposed. The encoder stage contains two mutually exclusive intra prediction algorithms of block sizes 4x4 and 16x16 sharing the hardware logic. The shared intra prediction unit is supported by an on-chip memory organization. The proposed architecture is implemented on FPGA development board. Its implementation supports high throughputs that correspond to a real-time processing of a variety of video resolutions including QFHD 2160p at 30 fps. Furthermore, the minimal required frequency for CIF, SD and HD1080p resolutions are significantly reduced compared to the state of the art1.
    IEEE Transactions on Consumer Electronics 02/2015; 61(1):81-89. DOI:10.1109/TCE.2015.7064114