{"title":"Benchmarking modern distributed streaming platforms","authors":"Shilei Qian, Gang Wu, Jie Huang, Tathagata Das","doi":"10.1109/ICIT.2016.7474816","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474816","url":null,"abstract":"The prevalence of big data technology has generated increasing demands in large-scale streaming data processing. However, for certain tasks it is still challenging to appropriately select a platform due to the diversity of choices and the complexity of configurations. This paper focuses on benchmarking some principal streaming platforms. We achieve our goals on StreamBench, a streaming benchmark tool based on which we introduce proper modifications and extensions. We then accomplish performance comparisons among different big data platforms, including Apache Spark, Apache Storm and Apache Samza. In terms of performance criteria, we consider both computational capability and fault-tolerance ability. Finally, we give a summary on some key knobs for performance tuning as well as on hardware utilization.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125472122","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":"Optimal demand response considering the optimal power flow in electricity market","authors":"Ryuto Shigenobu, A. Yona, T. Senjyu","doi":"10.1109/ICIT.2016.7474804","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474804","url":null,"abstract":"Distribution generator (DGs) using renewable energy sources (RESs) has introduced in the distribution system from economy and the environment issues. However, high DGs penetration in distribution system cause voltage deviation beyond the statutory range and also reverse power flow toward the substation and generator. It is necessary to introduce the real time pricing (RTP) by distribution company (DisCo) for improve the above problems and load leveling. This paper propose a method that is demand response (DR) by a RTP in electricity market and provide reactive power incentive to cooperative customer for maintain distribution voltage within the proper range. This paper shows the effectiveness of RTP and reactive power incentive by simulation for DisCo and customer profit.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"493 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403890","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 mathematical formulation to efficiently determine \"life status\" in the game of Go","authors":"Masafumi Sato, Koichi Anada, M. Tsutsumi","doi":"10.1109/ICIT.2016.7475016","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7475016","url":null,"abstract":"The game of Go is an ancient board game. In this game, players aim to capture the stones of their opponent by enclosing them. One possible condition for a stone is described as \"safe\". A safe stone can never be captured. This has been represented with a static determination by Benson [1]. In this paper, we analyze this determination mathematically, using the BW graph model that was introduced by Sato et al. [2][3][4][5]. As the result, we propose a new representation that reduces the required number of backtracking searches.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129186645","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":"Cognitiva — A cognitive industrial wireless network protocol: Protocol design and testbed implementation","authors":"T. Chiwewe, G. Hancke","doi":"10.1109/ICIT.2016.7475082","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7475082","url":null,"abstract":"In this paper we present the design of Cognitiva, a cognitive radio protocol for industrial wireless networks. It is designed for reliable multi-band operation in the license free Industrial, Scientific and Medical band as well as in Television White Spaces. We also present details on how the testbed was implemented in software radio using GNU radio and the Universal Software Radio Peripheral. The software is Open Source allowing the testbed to be extended or adapted. The protocol has a modular, cross layer design and the testbed can be used to test the real world performance of different cooperative spectrum sensing and dynamic spectrum access schemes. The protocol covers the PHY and MAC layers and functionality such as spectrum sensing and dynamic frequency selection is included.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115283814","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":"Hierarchical graph based approach for service composition","authors":"A. Bhattacharya, S. Sen, A. Sarkar, N. Debnath","doi":"10.1109/ICIT.2016.7475022","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7475022","url":null,"abstract":"Functional as well as Non-functional specification plays important role in service composition, discovery and selection. Among all the Non-functional specification cost is the most important parameter to handle. Hence optimization of cost is an interesting area of research in the domain of non-functional property aware service provisioning. In order to provide an effective solution; a cost oriented service composition method is presented in this paper. A hierarchical graph based model is proposed, which is constructed offline. It contains cost of single as well as composite services and also checks compliance information at the time of composition and can be used to answer all the queries in the system. Further the lemmas are defined to establish the soundness of the model which is formalized as Hierarchical Service Graph (HSG).","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378742","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":"Generation of multilevel voltage profile for torque ripple reduction of a 15 phase pole-phase modulated induction motor drive using two-level inverter structure","authors":"B. Umesh, K. Sivakumar","doi":"10.1109/ICIT.2016.7474890","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474890","url":null,"abstract":"Pole phase modulation (PPM) of multiphase induction motor (MIM) drives increases the speed and torque range of MIMs used in high power propulsion and traction. Modulating the phase angle of voltage across stator windings which in turn adjusts the pole of MIMs to achieve wider speed and torque ranges is the basic principle of PPM. 15-phase PPM induction motor (PPMIM) drive gives 15-phase 4-pole, 5-phase 12-pole and 3-phase 20-pole mode of operations providing wider torque and speed ranges. Due to reduced space harmonics in the air gap because of high phase number, performance of the PPMIM drive under 4-pole mode of operation is good even with two-level inverter voltage excitation. In case of 5-phase 12-pole and 3-phase 20-pole modes of operation, space harmonics in the air gap increases due to reduction in phase number resulting increased torque pulsation and decrease in efficiency for two-level voltage excitation. Reducing the time harmonics by increasing the inverter voltage levels is one of the solutions to improve the performance of PPMIM drives for high pole modes. But employing conventional multilevel inverters for MIMs increases the device count, control complexity and cost of the drive system. In this paper an effective method to improve the performance of 15-phase PPMIM under high pole modes is presented. The equipotential phase coils (EPCs) forming the effective phase of 5 phase 12 pole and 3 phase 20 pole mode of operations are utilized to generate multilevel voltage across effective phases using carrier phase shifted pulse width modulation (PWM). The torque pulsations and efficiency of the PPMIM drive for two-level and multilevel voltage excitation using single carrier and multiple phase shifted carriers respectively are compared. The FEM model of 15 phase PPMIM is developed in Ansys Maxwell 2D and is co-simulated with a 15 leg two-level inverter in simplorer environment.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091360","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}
Jiapeng Yin, Jian Hou, Zhiyong She, Chengming Yang, Han Yu
{"title":"Improving the performance of SVM-RFE on classification of pancreatic cancer data","authors":"Jiapeng Yin, Jian Hou, Zhiyong She, Chengming Yang, Han Yu","doi":"10.1109/ICIT.2016.7474881","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474881","url":null,"abstract":"Feature selection is a key step in classification of high-dimensional data, especially gene expression microarray data with many thousands of features. As a wrapper method, Support Vector Machine-Recursive Feature Elimination (SVM-RFE) is one of the most powerful feature selection techniques. Although SVM-RFE can remove irrelevant features effectively, it cannot deal with most of the redundant features. To overcome this drawback, this paper develops a new feature selection method, the core of which is removing redundant features based on the correlation among features before using SVM-RFE. We test the proposed method on the pancreatic cancer microarray dataset. The experimental results show that our method performs much better than the baseline SVM-RFE technique in terms of classification accuracy. To improve the class-wise classification accuracies, radial basis function (RBF) kernel is also incorporated.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287426","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":"T-S fuzzy control of a single-phase bidirectional inverter","authors":"Gwo-Ruey Yu, Jian-Jia Lai, Jia-You Liu","doi":"10.1109/ICIT.2016.7474974","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474974","url":null,"abstract":"In this paper, the Takagi-Sugeno (T-S) fuzzy control system is applied to a single-phase bidirectional inverter, which can manipulated on grid connection mode and power factor correction mode. The T-S fuzzy model is formulated by combining the state-space equation of the bidirectional inverter and the integration of tracking error. By adopting the Lyapunov stability theorem, the robust LMI-based stability conditions that satisfy the H ∞ performance is derived to restrain the diode voltage and external disturbances. By using the parallel distributed compensation and solving the LMI stability condition to obtain the control gains, the T-S fuzzy controller of the inverter is designed and does not need to take inductance variations into account. Compared to the D-E approach, simulation results illustrate the proposed T-S fuzzy controller has better robust performance on both the grid.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124940425","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 three port high gain non-isolated DC-DC converter for photovoltaic applications","authors":"V. R. Teja, S. Srinivas, M. Mishra","doi":"10.1109/ICIT.2016.7474760","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474760","url":null,"abstract":"In photovoltaic (PV) applications, power electronic converters play a vital role in transferring power from source to load. In general, operating voltages of PV arrays are low. To interface them with high voltage DC bus, a high voltage conversion system is needed which is provided by high gain topologies. Moreover, to increase the power density, efficiency of conversion and decrease cost, recent developments involve use of multiport converters which are in general multi-input converters capable of interfacing different renewable sources to a single structure. However many topologies reported in the literature achieve only nominal voltage gain between source and output. In this paper, a new topology is proposed by combining the advantages of both high gain and multi-input converters. The proposed topology has two input ports (i) A bidirectional port for energy storage device (ii) A unidirectional port for PV source. Coupled inductor technique is used to obtain high voltage gain. The topology along with theoretical analysis is presented to explain the principle of operation. This analysis is then compared with simulation results from MATLAB-Simulink to validate operating principle of the proposed topology.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125042682","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":"Development of PC-based SCADA training system","authors":"S. Abdi, K. Iqbal, J. Ahmed","doi":"10.1109/ICIT.2016.7474923","DOIUrl":"https://doi.org/10.1109/ICIT.2016.7474923","url":null,"abstract":"This paper describes successful and cost effective design & implementation of PC-based SCADA training system for the natural gas transmission and distribution industry. The design provides robust and automated environment for centralized control of a geographically scattered process. Microcontroller based data acquisition (DAQ) control units for distributed data processing are designed and serially connected with COM port of the remote terminal units (RTUs) via RS485/232 convertor. The real-time information gathered in RTU from sensors is fed to the master terminal unit (MTU) through a dedicated communication link. Visual Basic (VB) is used to develop Human-Machine Interface (HMI) environment for technicians and operators. The in-house HMI development aimed at reliable, cost effective, user friendly and easy to troubleshoot and update software. PC-based SCADA training system and HMI were developed to meet the training needs of Sui Northern Gas Pipelines Ltd. (SNGPL). The design work supports future updates and provides opportunities of research in rapidly evolving field of industrial automation and control.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125140883","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}