2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)最新文献

{"title":"Design of Multi-Core Integrated Wavelength-Selective Switch, and its System Benefits","authors":"M. Blau, D. Marom","doi":"10.1109/ICSEE.2018.8646257","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646257","url":null,"abstract":"Strong mixing in mode division multiplexed fiber is advantageous in many aspects. Its averaging effect reduces group delay spread, mode dependent loss (MDL), and accumulated nonlinearity. We demonstrated in the past that it also broadens the passband of cascaded few-mode WSS passages. In this paper, we analyze the performance of multicore WSS, and the favorable impact of strong coupling for MCF-WSS cascades, taking into account the asymmetry of the MCF.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128446659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scaling of Cloud Resources-Principal Component Analysis and Random Forest Approach","authors":"Omer Anisfeld, Erez Biton, Ruven Milshtein, M. Shifrin, Omer Gurewitz","doi":"10.1109/ICSEE.2018.8646134","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646134","url":null,"abstract":"The scaling challenge for a system which constitutes multiple clients, which address application servers deployed on the cloud, becomes more complicate once the applications’ nature imply consistent communication, e.g., video streaming. The effective scaling solution in this case is such that it will assure an acceptable client quality of experience (QoE), typically measured by video delay. In this paper, we provide a solution to the auto-scaling for cloud provider by means of analyzing the impact of various system parameters. The parameters which may impact the QoE on the client side include, but not limited to, average memory consumption, transmission and reception frequency, average CPU consumption on the side of the cloud provider. We perform Principal Component Analysis (PCA) in order to find a projection of the parameters, resulting in a set of features which can be sorted by their measure of impact. Next, we introduce scaling decision mechanism based on Random Forest (RF). Only most influencing features are employed for that, which renders the training process of the RF to be computationally effective. The proposed approach is novel in the sense that the scaling decisions found by the RF are in the projected space found by PCA (instead of having threshold derived directly from the original parameters), which is not necessarily intuitive. However, these features are numerically approved to be the most influencing. Moreover, as long as the features in the projected space are uncorrelated, it allows us to base the RF on only small subset of them, which would be ineffective in the original measurements space, where the correlation is high. In our Kubernetes-based implementation which employs this method, the resulting auto-scaler performs better than the default auto-scaler.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Reliability Model For GaN Power FET","authors":"G. Golan, M. Azoulay, S. Shaheen, J. Bernstein","doi":"10.1109/ICSEE.2018.8646142","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646142","url":null,"abstract":"The existing standard reliability models for power devices are not satisfactory and they fall short of predicting failure rates or wear-out lifetime of semiconductor products. This is mainly attributed to two reasons; the lack of a unified approach for predicting device failure rates and the fact that all commercial reliability evaluation methods relay on the acceleration of one dominant failure mechanism. Recently, device reliability research programs are aimed to develop new theoretical models and experimental methods that would result at a better assessment of the device lifetime as well as point out on the dominating failure mechanism for particular operating conditions. A novel model, named Multi-failure mechanism, Overstress Life test (MOL) has been introduced and posed a better understanding of the dominating failure mechanisms under various stressed conditions in advanced FPGA devices (for 45nm and 28nm technologies). More recently, we have presented, for the first time, the implementation of the MOL model to investigate the reliability of silicon power MOSFET devices. Both, LT Spice simulation and experimental data were presented for a test circuit of a ring oscillator, based on CMOS-FET, NMOS-FET and PMOS-FET. The monitored data was acquired in-situ in form of the ring frequency or Vds values that enabled to assess the lifetime and determine the dominating mechanism during accelerated wear-out by temperature, applied bias voltage, thermal cycling, gamma and electron irradiation. In this paper, we extend our study to investigate GaN HEMT reliability by our newly developed MOL model. Complex RO circuits containing all GaN devices and mixed (GaN HEMT-Si MOSFET) have been tested. Rds-on monitoring circuit has also been operated during thermal cycling of the tested component and the acceleration factor was derived for various operational parameters. It is noted that the presented data is the first attempt to monitor the GaN device degradation rate in-situ, during accelerated wear-out conditions. However, we are still working to extend the experimental results, aimed to determine the full multi mechanism matrix.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information Transmission of Chirped Acoustic Signals and Power Transfer in Medical Implants","authors":"A. Krichevsky, Yuval Shklarsh, B. Kantor, Denis Dikarov","doi":"10.1109/ICSEE.2018.8646174","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646174","url":null,"abstract":"in this paper, we show a general method for transmission of information signals in medical implants by using an acoustic channel. The proposed method is immune to the presence of acoustic interferences, and in particular, the presence of a simultaneous acoustical energy transfer for charging the implant battery. This method is based on acoustic transmission of chirped information signals through acoustic field. The feasibility of this method is confirmed by presented experiment, where PZT piezoceramic disks are used as transducers in the acoustic (ultrasonic) channel.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"34 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117278279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying Abusive Comments in Hebrew Facebook","authors":"Chaya Liebeskind, Shmuel Liebeskind","doi":"10.1109/ICSEE.2018.8646190","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646190","url":null,"abstract":"In this study, we aim to classify comments as abusive or non-abusive. We develop a Hebrew corpus of user comments annotated for abusive language. Then, we investigate highly sparse n-grams representations as well as denser character n-grams representations for comment abuse classification. Since the comments in social media are usually short, we also investigate four dimension reduction methods, which produce word vectors that collapse similar words into groups. We show that the character n-grams representations outperform all the other representation for the task of identifying abusive comments.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatio-Temporal Detection of Cumulonimbus Clouds in Infrared Satellite Images","authors":"Ron Dorfman, Etai Wagner, Almog Lahav, A. Amar, R. Talmon, Yaron Halle","doi":"10.1109/ICSEE.2018.8646047","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646047","url":null,"abstract":"In this paper, we address the problem of Cumulonimbus (Cb) cloud detection from Infrared (IR) satellite images. The detection of such storm clouds is of high importance since they pose extreme danger to aviation. We present a joint spatio-temporal detection method that exploits the distinct spatial characteristics of Cb clouds as well as their prototypical evolution over time. The presented method is unsupervised and does not require labeled data or predefined spatial handcrafted features, such as particular shapes, temperatures, textures, and gradients. We demonstrate the performance of the proposed method on several sequences of IR satellite images taken from the middle east region.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116197743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Reverberation in Speech-based Emotion Recognition","authors":"Shujie Zhao, Yan Yang, Jingdong Chen","doi":"10.1109/ICSEE.2018.8645989","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8645989","url":null,"abstract":"In room environment, echo, reverberation, interference and additive noise cast the major challenges for emotional speech recognition due to degradation in quality and reliability of recorded speech signals. In this paper, we investigate effects of reverberation and noise on speech-based emotion recognition by comparing clean speech signal, adding simulated reverberant data, de-reverberant data and signal with added noise. First, we develop an emotional speech corpus of these four kinds of emotional speech data sources. Then we apply GMM-UBM framework to evaluate the performance of emotion recognition based on them. Results show that reverberation reduces emotion recognition accuracy by 5.87%, and a process of de-reverberation can largely cover this reduction.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual infinite capacitor applied to DC-link voltage filtering for electric vehicle chargers","authors":"Vinay Bhus, Jun Lin, G. Weiss","doi":"10.1109/ICSEE.2018.8645981","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8645981","url":null,"abstract":"The virtual infinite capacitor (VIC) is a nonlinear active capacitor for DC voltage filtering. It can replace large and unreliable electrolytic capacitors and is intended for DC systems where random fluctuations of the DC bus voltage may occur. In this paper, we investigate the use of a VIC for stabilizing the DC bus voltage in an electric vehicle (EV) charger. In order to solve the intrinsic problem of the second harmonic ripple power in a single-phase AC/DC converter, a plug-and-play VIC is used to replace the bulky DC-link capacitor for voltage filtering.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125277103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Big Data Analysis of Employee Turnover in Global Media Companies, Google, Facebook and Others","authors":"Alon Sela, Hila Chalutz Ben-Gal","doi":"10.1109/ICSEE.2018.8645991","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8645991","url":null,"abstract":"An analysis of a unique data set of over 970,000 Curriculum Vitas (CVs), revealed a mild inverse relation between job satisfaction and the average employment period. We found that while higher compensation packages often lead to higher job satisfaction, this does not translate into longer employment period. Moreover, our findings indicate an opposite and surprising pattern, in which as salary and satisfaction levels increase, employment period per job decreases. This counter-intuitive effect was found to be strongest in global high technology companies, such as Google and Facebook.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The stability of a synchronous generator with a prime mover connected to a resistive load","authors":"Zeev Kustanovich, G. Weiss","doi":"10.1109/ICSEE.2018.8646017","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646017","url":null,"abstract":"We present the stability analysis of a system which contains a synchronous generator (SG) with its prime mover and a resistive load. Inductive transmission lines connect between these. The model of the SG and its prime mover includes a frequency droop loop that acts through the prime mover and its governor, with its own dynamics. The SG model takes into account the variation of the inductances with the rotor angle. We derive a mathematical model of the system that takes into account a simplified model of the damper windings and is a fifth order nonlinear system. We present sufficient conditions on the model’s parameters to insure local stability for the system. We strive to find sufficient conditions that are easy to verify. We use Lyapunov functions and the port-Hamiltonian representation.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124128138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}