{"title":"Associative classification: A comprehensive analysis and empirical evaluation","authors":"Darshana H. Patel, N. Kotecha Radhika, A. Vasant","doi":"10.1109/NUICONE.2017.8325616","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325616","url":null,"abstract":"Databases are rich with concealed information which can be used for intelligent decision making. Classification and association rule mining are vital to such practical applications. Thus, if these two techniques are somehow integrated would result in great savings and conveniences to the user. Such an integrated framework is called associative classification (AC). This integration is carried out by focusing on a specific subset of association rules whose consequent contains only class attribute. Several studies in data mining have shown that AC is superior to other traditional classification algorithms due to its numerous favorable characteristics such as readability, usability, training efficient and excellent accuracy. Hence, various AC techniques are studied with its pros and cons. However, AC suffers from a drawback that large number of rules is produced as an output. Now, utilizing all these rules for analysis would be computationally expensive. This paper studies various pruning and evaluation methods that are employed to produce qualitative rules. Further, the paper empirically evaluates associative classification technique considering various parameters.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122694950","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":"Analysis of carrier offset technique used in a five-level inverter scheme with emphasis on DC-link capacitor voltage balancing","authors":"P. N. Tekwani, Pandey Neha Umakant","doi":"10.1109/NUICONE.2017.8325606","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325606","url":null,"abstract":"Amongst multi-level inverter topologies, neutral point clamped (NPC) inverter is widely used for inherent advantages offered by it compared to other topologies. The main drawback of NPC inverter is the fluctuation in the neutral point voltage and the corresponding imbalance created in dc-link capacitor voltages. A balancing scheme is proposed in this paper for five-level NPC inverter by providing offset in the individual carrier without using any extra hardware. In this scheme, only capacitor voltages are measured and not the load current. However, the limitation of this control scheme is that the wave shape of fundamental output voltage of the inverter is not as per the requirement. The output voltage has full dc-link voltage but waveform has only three levels when machine is operated in five-level mode. The quarter wave as well as half wave symmetry in an inverter output voltage is lost so harmonics in the output voltage waveform increases compared to sinusoidal pulse width modulation (SPWM) technique for the same level. The rms output voltage is more than that of an ideal NPC inverter. This will affect V/f ratio as well as torque of the motor. Also, dv/dt stress on switches increases due to less number of levels compared to ideal five-level NPC inverter. Simulation is carried out in MATLAB/Simulink. Hardware implementation of one leg of five-level neutral point clamped inverter with stiff dc power supply for each capacitor is carried out using dSPACE DS1104 controller board. The proposed scheme can be applied (for two-level and three-level modes) in conjunction with other hardware scheme used for balancing during four-level and five-level operation, leading to a hybrid balancing scheme.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021860","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":"Developing a multi-plates velocity map imaging spectrometer for 3D velocity vector imaging of electrons and ions","authors":"Ekta Patel, R. Kushawaha, H. Mewada, U. Soni","doi":"10.1109/NUICONE.2017.8325619","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325619","url":null,"abstract":"In this paper, the concepts, design and charged particles simulation for developing a new multi-plates Velocity-Map Imaging (VMI) spectrometer are discussed. This spectrometer very is powerful for 3D velocity vector imaging of charged particles. The standard design of Eppink and Parker [Rev. Sci. Instrum. 68, 3477 (1997)] velocity map imaging has three-plates which under suitable voltage at each plates make a “asymmetric immersion electrostatic lens”. This lens mapped the same initial velocity vector at one point on the detector. The three-plate VMI setup is useful for 3D imaging of low energy electrons (<100eV). We are developing multi-plates VMI setup for mapping of high kinetic energy (100eV-1keV) electrons.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115860759","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":"Design and implementation of solar pumping system with induction motor and submersible pump","authors":"Archana Parikh, P. N. Tekwani, V. Patel","doi":"10.1109/NUICONE.2017.8325605","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325605","url":null,"abstract":"Solar Water Pumping System (SWPS) is becoming increasingly popular in remote areas where grid is not available or unreliable. This system is mainly used for irrigation purpose in farming and household purposes. In the proposed system, induction motor along with submersible pump of 1.5 kW is used. On the basis of motor rating, solar panel rating is decided to be 1.8 kW considering losses in the system. In this paper the main focus is to design boost-converter which boosts the voltage obtained from solar panel. This boost voltage acts as a dc-link voltage for three-phase inverter. Three-phase inverter is developed to convert dc voltage into ac voltage. This ac voltage generated is given to induction motor which runs the submersible pump. Maximum Power Point Tracking (MPPT) algorithm is implemented to obtain maximum power from the solar panel under different solar irradiation and temperature. In this topology, incremental conductance method is used to obtain maximum power from solar panel. Modulation index of inverter is controlled by Sine-Triangle Pulse Width Modulation (SPWM) technique. SPWM along with V/F scheme is implemented for the control of inverter which results in the control of speed of induction motor when the output from solar panel changes. Design and simulation verification of the system is performed in PSIM software. After satisfactory results obtained through simulation studies, hardware setup is also tested on resistive load.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129170174","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":"Load balancing in cloud computing using particle swarm optimization on Xen Server","authors":"Akash Dave, Bhargesh Patel, Gopi Bhatt, Yash Vora","doi":"10.1109/NUICONE.2017.8325618","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325618","url":null,"abstract":"In cloud there is different set of servers that provide utility to users based on demand. Cloud has many powerful servers to allocate huge request of users. Load balancing is a technique to distribute load on many VMs on Server to achieve Resource utilization, lower Response time and avoid burden. In this paper Particle Swarm Optimizations is presented for Resource Utilization. A PSO has been presented to find the better solution for the problem of Allocation Resources and load balancing in Cloud computing. This work was experimented on Xen Server and result of the Proposed Algorithm was really very encouraging. Significantly the result of PSO is compared with Compare and Balance Algorithm.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116634612","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":"Single missing cell deposition defect analysis of sequential reversible circuit","authors":"Vaishali H. Dhare, U. Mehta","doi":"10.1109/NUICONE.2017.8325621","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325621","url":null,"abstract":"Power and heat dissipation problems of current CMOS (Complementary Metal Oxide Semiconductor) technology can be overcome by the reversible logic. All the basic reversible gates are implemented using QCA (Quantum dot Cellular Automata) nanotechnology. In this paper reversible logic based sequential circuit, SR latch, is implemented. This paper presents the implementation of Fredkin reversible gate using basic primitives of QCA, Majority Voter (MV). As defects are more likely to occur in this nanotechnology. Hence single missing cell deposition defect in QCA in reversible SR latch are analyzed using QCADesigner tool at the layout level.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381371","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}
Dhaval Y. Raval, Pratik J. Munjani, Nasreen R. Mansoori
{"title":"Design, simulation and performance analysis of grid connected photo-voltaic system with decoupled current control","authors":"Dhaval Y. Raval, Pratik J. Munjani, Nasreen R. Mansoori","doi":"10.1109/NUICONE.2017.8325610","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325610","url":null,"abstract":"Rapidly increasing demand and climate change leads every country to think about their electricity generation sources. Developing country prefer green energy technology and developed country support them to get good carbon credit. Solar energy is most favorable among all renewable energy source. Grid connected solar plant provide pollution free energy to consumer. As the number of Photo Voltaic (PV) system integrated to grid is increases, it also affects the quality of power. Integrated PV system should follow the standards provided by the utility. One major issue in power quality is harmonic distortion. In this paper 10 kW PV system is simulated and analyzed. Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) has been used to linearized PV source. Feed forward current control method is used to control the injected power from inverter, which limits Total Harmonic Distortion (%THD) of output current below 5%.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132280925","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":"Detection of pneumonia clouds in chest X-ray using image processing approach","authors":"Abhishek Sharma, D. Raju, Sutapa Ranjan","doi":"10.1109/NUICONE.2017.8325607","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325607","url":null,"abstract":"Finding ways to automate diagnostics from medical images, has continuously been one of the most interesting areas of software development. This article presents a novel approach for detecting the presence of pneumonia clouds in chest X-rays (CXR) by using only Image processing techniques. For this, we have worked on 40 analog chest CXRs pertaining to Normal and Pneumonia infected patients. Indigenous algorithms have been developed for cropping and for extraction of the lung region from the images. To detect pneumonia clouds we have used Otsu thresholding which will segregate the healthy part of lung from the pneumonia infected cloudy regions. We are proposing to compute the ratio of area of healthy lung region to total lung region to establish a result. The task has been performed using Python and OpenCV as they are free, opensource tools and can be used by all, without any legality issues or cost implication.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085424","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 approach for securely processing information on dew sites (Dew computing) in collaboration with cloud computing: An approach toward latest research trends on Dew computing","authors":"Hiral B. Patel, K. Suthar","doi":"10.1109/NUICONE.2017.8325622","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325622","url":null,"abstract":"A computer user nowadays requires freedom from managing data locally and wants that the data must become available anytime and anywhere. Here the term Cloud comes into existence which provides various services to its user without taking a burden as well as with cheaper cost. This gives much benefits to user but conversely it also suffers from some burning issues like confidentiality, availability, continuous Network connection requirement, integrity and many more. The user data is available on Cloud system and to process that data securely a providers need to process this data without displaying identity of the user. Secondly the user must be able to work with open environment even if the network connection is not available. First issue is solved using the anonymization techniques and for second issue we used an important new term called Dew computing. Dew computing together with Cloud makes a Cloud-Dew architecture which solves above mentioned issues. We are among few researchers who proposed a scheme which solved important issues related to privacy of user information in Cloud-Dew Computing architecture that may be one of the important open platform computing trends in the future.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"98 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113954431","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}
Kartik Madhira, J. Patel, Dilip Kothari, D. Panchal, Dhruva G. Patel
{"title":"A quantitative study of mapping and localization algorithms on ROS based differential robot","authors":"Kartik Madhira, J. Patel, Dilip Kothari, D. Panchal, Dhruva G. Patel","doi":"10.1109/NUICONE.2017.8325609","DOIUrl":"https://doi.org/10.1109/NUICONE.2017.8325609","url":null,"abstract":"The ability for to simultaneously map the environment and localise itself with it respect to it, is the most important element of Autonomous Vehicles. The Simultaneous localization and Mapping (SLAM) is a complex process and consumes major chunk of computational power. Many algorithms have been developed to enhance the SLAM process and is a progressing area in Robotics research. ROS is one such framework which provides multiple algorithm nodes to work with and provides a communication layer to Robots. Many of these algorithms majorly in use are HectorSLAM, Gmapping and KartoSLAM. This paper provides with a quantitative analysis of these algorithms and their performance on various parameters on a differential robot equipped with 2D Laser scanner. We Study the optimum parameters of each of these algorithms and then compare the performance of these algorithms against one another. Since computational requirement of these algorithms is expensive, we also study the variation in performance using a Nvidia Jetson TK1 Embedded board and a Personal Laptop with dedicated GPU.","PeriodicalId":306637,"journal":{"name":"2017 Nirma University International Conference on Engineering (NUiCONE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831633","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}