varunr14/newsummary huggingface dataset:
High concentration photovoltaic modules employing high efficiency III V solar cells promise greater system level efficiency than conventional photovoltaic systems . Nevertheless the output power of an HCPV system is very sensitive to rapidly fluctuating tracking errors and weather patterns . The fractional open circuit voltage based maximum power point tracking technique benefits from simplified processing circuits with speed response . To investigate the feasibility of using the FOCV technique for MPP estimation on HCPV modules a theoretical model and simulation are presented in this study . A MATLAB based MJSC circuit model of an HCPV module with buck type converter and load is proposed and validated . In addition the magnitude of the optical loss caused by Fresnel lens shape deformation and air mass ratio is modeled and quantized . The FOCV technique is then employed and compared with the conventional perturb and observe method on the HCPV module under varying irradiance and temperature conditions to study its effectiveness . The results suggest that the FOCV technique could help an HCPV module to attain greater power efficiency . 


Summary: A performance evaluation model of a high concentration photovoltaic module is proposed. The output power performance is simulated and assessed by MATLAB Simulink software. The magnitude of the optical loss caused by Fresnel lens shape deformation and AM is modeled and quantized. Two maximum power tracking techniques are simulated and compared. The simulation results suggest that the fractional open circuit voltage technique has better performance.
Power consumption is emerging as one of the main concerns in the High Performance Computing field . As a growing number of bioinformatics applications require HPC techniques and parallel architectures to meet performance requirements power consumption arises as an additional limitation when accelerating them . In this paper we present a comparative study of optimized implementations of the Non negative Matrix Factorization that is widely used in many fields of bioinformatics taking into account both performance and power consumption . We target a wide range of state of the art parallel architectures including general purpose low power processors and specific purpose accelerators like GPUs DSPs or the Intel Xeon Phi . From our study we gain insights in both performance and energy consumption for each one of them under a number of experimental conditions and conclude that the most appropriate architecture is usually a trade off between performance and energy consumption for a given experimental setup and dataset . 


Summary: Performance and energy consumption study of NMF is performed on different systems. General purpose CPUs yield better execution times at the cost of high energy rates. Low power architectures offer better trace off in energy and performance.
Next generation wireless technology supports notably high data rates and smart hand held devices together with data processing which creates a great challenge for moving these contents from server to client. The classical issue of mobile data synchronization for high speed data networks can be addressed through Software Defined Networking SDN Control. The proposed IDBSync Improved Database Synchronization mechanism expedites data synchronization between the server side and mobile database in a SDN setup. The tables of the synchronization server are maintained in the control plane including replicas of the data tables at the server and client devices collected from the data planes for application of the synchronization policy. The IDBSync uses BaSyM Batch Level Synchronization Methodology to group similar cases for synchronization to considerably reduce network usage and energy consumption in a heterogeneous environment. Comparative performance analysis of the proposed mechanism is performed with reference to commercial approaches. 


Summary: SDN based batch level synchronization. Reduced response time. Live test results of obstacle and non obstacle mode of 2 G and 3 G networks. IDBSync consumes fewer discharging units than the existing solutions. Vendor independency.
This paper presents a novel scheme to implement blind image watermarking based on the feature parameters extracted from a composite domain including the discrete wavelet transform singular value decomposition and discrete cosine transform . Multiple bits can be embedded into a single image block by adjusting designated parameters via a progressive quantization index modulation technique . The quantization with respect to the feature parameters obtained in the DWT SVD DCT domain leads to efficient watermark extraction without referring to the original image . Experimental results show that the embedded watermarks exhibit exceptional robustness against image compression using JPEG and JPEG2000 coding standards . 


Summary: A blind image watermarking scheme exploiting the DWT SVD DCT features is presented. The proposed PQIM reaches a trade off between robustness and imperceptibility. Multiple watermarks can be embedded into a host image. The watermarks exhibit exceptional robustness against JPEG and JPEG2000 compression.
In wireless LANs handover is usually performed based on either signal power or congestion level . However considering only the congestion level could be insufficient for handover since it may cause traffic loss . Therefore besides the load of access points it is necessary to consider the physical conditions of different WLANs for performing a seamless handover . This article introduces a novel scheme for seamless handover of IPTV streams in WLAN carrying IPTV traffic called Physical Constraint and Load Aware handover . The PCLA can compute the load of APs for congestion detection purposes . In PCLA a mobile node chooses the best network considering signal strength bit error rate in the relevant environment and the congestion of APs for making a seamless handover . The simulation results show the appropriateness of PCLA in improving handover performance . 


Summary: A seamless handover mechanism for IPTV services in WLAN is proposed. The mechanism relies on received signal strength congestion level and bit error rate. New method for estimation of congestion level of each access point is proposed.
Typical MAC protocols for IEEE 802.11 based ad hoc networks employ a direct transmission strategy whenever the transmitter can directly reach the receiver . While such a design enjoys simplicity it limits the number of admitted transmissions in a given neighborhood . Due to the performance anomaly of 802.11 based wireless networks transmission with low data rates occupy the shared medium for longer periods of time . Occupying the transmission medium for a longer period of time results in less available transmission time for other nodes which consequently reduces the number of transmitted packets during the same period of time leading to a reduction in network throughput . To improve the overall network throughput we present a cooperative multi channel MAC protocol for single hop wireless mobile ad hoc networks that attempts at computing the path with the minimum required transmission time for a given source destination pair . The proposed protocol attempts at improving network performance by means of cooperative communications . According to our approach if the one hop path between communicating nodes supports low data rate the source selects a multi hop path to the destination such that the total amount of required transmission time is minimized . Through simulations we show that our proposed protocol achieves significant throughput and fairness improvement compared to the standard IEEE 802.11 based protocol . 


Summary: We propose a cooperative channel assignment and packet forwarding protocol. Our protocol reduces the transmission times for the low data rate direct link users. Our protocol selects multi hop path with min transmit time even direct path exists. Results show that our protocol notably improves network throughput over IEEE 802.11.
Malaria one of the deadliest diseases is responsible for nearly 627 000 deaths every year . It is diagnosed manually by pathologists using a microscope . It is time consuming and subjected to inconsistency due to human intervention so computerized image analysis for diagnosis has gained importance . In this article an edge based segmentation of erythrocytes infected with malaria parasites using microscopic images has been developed to facilitate the diagnostic process . The color space transformation and Gamma equalization reduce the effects of colors and correct luminance differences of images . Fuzzy C means clustering is applied to extract infected erythrocytes which is further processed for the final segmentation . The experimental results showed that the proposed method can gain 98 93.3 98.65 and 90.33 of sensitivity specificity prediction value positive and prediction value negative respectively . In conclusion the proposed method provides a consistent and robust method of edge based segmentation of parasite infected erythrocytes using microscopic images for diagnosis . 


Summary: Edge based segmentation of erythrocytes infected with malaria parasites in microscopic images. Gamma equalization for contrast enhancement can improves the segmentation performance. Proposed method outperforms others traditional edge segmentation methods. To facilitate segmentation performance a confusion matrix is proposed. The proposed method is useful for pathologists in the diagnosis of malaria.
X ray angiography images are widely used to identify irregularities in the vascular system . Because of their high spatial resolution and the large amount of images generated daily coding of X ray angiography images is becoming essential . This paper proposes a diagnostically lossless coding method based on automatic segmentation of the focal area using ray casting and shapes . The diagnostically relevant Region of Interest is first identified by exploiting the inherent symmetrical features of the image . The background is then suppressed and the resulting images are encoded using lossless and progressive lossy to lossless methods including JPEG LS JPEG2000 H.264 and HEVC . Experiments on a large set of X ray angiography images suggest that our method correctly identifies the Region of Interest . When compared to the case of coding with no background suppression the method achieves average bit stream reductions of nearly 34 and improvements on the reconstruction quality of up to 20 dB SNR for progressive decoding . 


Summary: An automatic segmentation of the diagnostically relevant focal area of X ray angiography images was developed. A background suppression coding strategy was proposed based on the accurate segmentation results. Our segmentation method identifies the Regions of Interest with an average Dice Similarity Coefficient of 0.98 with respect to manual segmentation. The coding performance improvement reaches 34 compared to the case of coding with no background suppression.
In this paper we consider the performance of a cellular uplink multi user feedback multiple input multiple output system assisted by joint transmitter receiver design and polarization multiplexing . PM is realized with the aid of dual and triply polarized antennas . At the transmitter we take advantage of only the individual user s channel impulse responses obtained through feedback channels that endure noise fading and delay to construct the preprocessing matrix while at the receiver the post processing matrix construction relies on the perfect CIRs of all the users . In multi user UL MIMO transmissions multiple access interference and inter antenna interference can severely degrade the system s performance . Our study shows that the joint Tx Rx is capable of completely eliminating the IAI as well as the MAI when it employs perfect CIRs based preprocessing and post processing . On the other hand noise fading and delay tainted quantized CIRs based preprocessing results in noticeable performance degradation due to imperfect removal of IAI . Nevertheless our results demonstrate that when the preprocessing is based on the quantized CIRs obtained through ideal feedback channels the resultant achievable symbol error rate and sum capacity remain close to that obtained with the perfect CIRs based design . 


Summary: SER and capacity performance of a uplink feedback MIMO system is studied under. Perfect CIRs based joint Tx Rx design with polarization multiplexing ideal feedback. Quantized CIRs aided joint Tx Rx with polarization multiplexing noisy feedback. Quantized CIRs based joint Tx Rx with polarization multiplexing fading feedback. Quantized CIRs assisted joint Tx Rx with polarization multiplexing delayed feedback.
The Binary Offset Carrier modulated signals have been introduced in global navigation satellite systems . They possess good frequency compatibility with existing Binary Phase Shift Keying signal . However this type of modulation creates multiple side peaks in auto correlation function . Therefore it is hard to make full use of its ranging capability . To alleviate this problem this paper analyzes the Double Estimator Technique thoroughly from a general formulation of two dimension correlation and proposes a new subcarrier aided code tracking approach . In addition based on the fact that the pseudo random noise code can reflect the absolute delay an adaptive code monitoring scheme is investigated to tap the potential tracking accuracy . Utilizing BOCsin signal Monte Carlo simulations demonstrate that the proposed method improves the tracking performance with respect to thermal noise significantly . 


Summary: A general analytical expression of the two dimension correlation of DET is formulated. The crosstalk between SLL and DLL will degrade the ranging capability of BOC signals. The subcarrier aided code tracking SACT technique is proposed. The adaptive adjustment by code monitoring is proposed to tap the potential ranging capability.
Broadcasting is the simplest form of communication in which nodes disseminate the same information simultaneously to all of their neighbors . Broadcasting has been widely used in many types of networks including wireless networks wireless sensor networks and mobile ad hoc networks . Likewise these networks broadcasting is also used in cognitive radio networks to accomplish various tasks such as spectrum sensing spectrum sharing spectrum management and spectrum mobility . This article investigates and provides a comprehensive overview of various broadcasting strategies that have been proposed so far for cognitive radio networks . Moreover it provides a detailed study of broadcast storm problem in CRNs . Finally it discusses issues challenges and future research directions for broadcasting strategies in CRNs . 


Summary: We give an overview of various broadcasting strategies proposed so far for cognitive radio networks CRNs . We identify required key characteristics of broadcasting strategies in CRNs. We propose a comprehensive and detailed classification of broadcasting strategies in CRNs. We provide a detailed study of broadcast storm problem in CRNs. We discuss the possible scenarios for the generation of broadcast storm problem and its related challenges in CRNs.
Switching Devices such as IGBT used in Pulse Width Modulation PWM Inverter feeding an induction motor often suffer from different types of incipient faults like improper contact points poor connections and problematic solder joints. These are due to ageing or prolonged operation in unfriendly environments. These faults need to be detected at their initial stages to prevent subsequent spreading of faults. In the present work different variations of the above mentioned faulty cases in a PWM Inverter have been studied by recording three phase inverter output current profiles and converting them to Concordia patterns. It has been observed that the Concordia patterns are quite different in shapes for different types of faults. A suitable image based shape descriptor has been applied to extract relevant information from these Concordia patterns. Finally Nearest Neighbor Algorithm is employed on this information to identify the nature and location of faults. Performance of the algorithm is found to be quite satisfactory when its results are compared with two more related algorithms. 


Summary: Incipient faults in Inverter of Induction motor drive are detected and classified. Concordia pattern is obtained from 3 phase output current of faulty inverter. Concordia pattern is converted to binary image. Shape context based Nearest Neighbor algorithm is used to classify the Concordia image.
In this article we investigate the performance of a coded multiple input multiple output multi carrier system in underwater communication where acoustic interference and ambient noise are the two major channel impairments . The channel model considered in this work is based on the shallow water model that has eleven paths . In our work the acoustic signal is spread with the aid of a high rate spreading sequence to alleviate the effects of acoustic interference . At the receiver non linear detectors based on Zero Forcing and Minimum Mean Square Error are employed for signal detection . The simulation results reveal that the system under consideration with the MMSE detector provides better performance in terms of the achievable bit error rate than the system with the ZF detector while achieving higher data rates . 


Summary: We investigate the performance of VBLAST assisted MIMO OFDM system in underwater communications. Performance is analyzed with non linear MUD when communicating over multi path environment. BER performance is compared for coded and uncoded ZF OSIC and MMSE OSIC. Coded multi carrier MIMO system out performs uncoded system in terms of BER performance. Coded multi carrier MIMO system with MMSE OSIC provides better BER performance than system with coded ZF OSIC.
In this paper we propose a Parzen window entropy based spectrum sensing algorithm for enhancing the signal to noise ratio wall of cognitive radio primary user detection . We compute the information entropy using a non parametric Kernel Density Estimation method . Single node sensing is extended to cooperative sensing using the weighted gain combining fusion method . The weights of WGC technique are computed using a Differential Evolution algorithm and compared with the log likelihood ratio method . In addition the detection performance of the proposed Parzen window entropy is compared with Shannon entropy and energy detection techniques . We consider a DVB T signal with Additive White Gaussian Noise subjected to Rayleigh fading under noise uncertainty as a primary user signal for simulation . The simulation result reveals that in the case of a single node and cooperative sensing the proposed method achieves SNR wall of 19 dB and 24 dB respectively at the probability of false alarm 0.1 . 


Summary: A Parzen window entropy detection technique for spectrum sensing. Performance is compared with energy and Shanon entropy detection method. In multi node weights are evaluated using the Differential evolution algorithm. Single node sensing achieved SNR wall of 19 db at Pd 0.9 and Pf 0.1. Multi node sensing achieved SNR wall of 24 dB at Pd 0.9 and Pf 0.1.
The present study integrates information system engineering and management methodologies to solve a real life case problem . We develop an agricultural product recommendation service on a mobile platform and then to understand users acceptance to confirm that it can be used to solve the problem . For consumers making the decision to purchase is complex and can be full of contradictions and conflicts . This raises the need to design a product recommendation service that uses multiple criteria to assist consumers . This study employs a modified Elimination Et Choice Translating Reality method determine a ranking order which will assist consumers in deciding which agricultural product to buy . Two major findings are proposed . First we identified five criteria that assist consumers making buying decisions regarding agricultural products . Second we find that when the system is established on a mobile platform perceived ease of use does not play a critical role in user acceptance . 


Summary: Proposed an MCDM based approach which contributes to mobile commerce marketing. Identified five criteria to assist purchasing decisions regarding agricultural products. Perceived ease of use does not play a critical role regarding mobile app.
Power efficiency is a crucial issue for embedded systems and effective power profiling and prediction tools are in high demand . This paper presents a cloud based power profiling tool for recording system calls and their associated parameters to predict hardware power consumption when running target applications . Based on hardware power consumption and system profiling from the operating system kernel the proposed network model can effectively summarize running behavior of the target applications and the relationship among system calls . This model is also used to develop an energy efficient cluster scheduling for user inactive processes to reduce the power consumption and extend the service time of embedded systems . These profiling data can be integrated into a cloud model to be maintained by software designers or OS developers to accommodate power estimation and scheduling data for a variety of platforms . 


Summary: We predict power consumption of embedded systems to extend their service time. A cloud model is proposed. A power aware scheduling organizes system calls into DAGs.
Glossy is a reliable and low latency flooding mechanism designed primarily for distributed communication in wireless sensor networks . Glossy achieves its superior performance over tree based wireless sensor networks by exploiting identical concurrent transmissions . WSNs are subject to wireless attacks aimed to disrupt the legitimate network operations . Real world deployments require security and the current Glossy implementation has no built in security mechanisms . In this paper we explore the effectiveness of several attacks that attempt to break constructive interference in Glossy . Our results show that Glossy is quite robust to approaches where attackers do not respect the timing constraints necessary to create constructive interference . Changing the packet content however has a severe effect on the packet reception rate that is even more detrimental than other physical layer denial of service attacks such as jamming . We also discuss potential countermeasures to address these security threats and vulnerabilities . 


Summary: Presentation of novel attacks aiming to break Glossy s constructive interference. Results showing Glossy s robustness except for attacks on relay counter. Discussion of potential security solutions to protect Glossy based networks.