Showing papers in "Indonesian Journal of Electrical Engineering and Computer Science in 2017"
TL;DR: The proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger and the smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost.
Abstract: Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger. The smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost. This prototype uses four types of sensors i.e. PIR sensor, temperature sensor, ultrasonic sensor and smoke gas sensor for automatic environmental control and intrusion detection.
57 citations
TL;DR: There are three types of DC-DC converter presented in this paper that can be integrated with solar PV system which are buck, boost and buck-boost converter in various applications.
Abstract: Solar energy plays an important role in renewable energy generation systems since it is clean, pollution-free sustainable energy as well as the increasing cost-of-electricity which causes high-growth demands amongst utility customers. This paper presents various circuit topologies of DC-DC converters in solar photovoltaic (PV) applications. There are three types of DC-DC converter presented in this paper that can be integrated with solar PV system which are buck, boost and buck-boost converter in various applications. This paper also presents the application on DC-DC converter in solar PV system for maximum power point tracking (MPPT) feature. The advantages and disadvantages of each topology will be discussed further in term of cost, components, efficiency and limitations.
52 citations
TL;DR: In this article, a comparison of Hammerstein Wiener and neural network technique for estimating of turbidity in water treatment plant is presented, the results demonstrated that the neural network model outperformed the Hammerstein-Wiener model in estimating the turbidity.
Abstract: Turbidity is a measure of water quality. Excessive turbidity poses a threat to health and causes pollution. Most of the available mathematical models of water treatment plants do not capture turbidity. A reliable model is essential for effective removal of turbidity in the water treatment plant. This paper presents a comparison of Hammerstein Wiener and neural network technique for estimating of turbidity in water treatment plant. The models were validated using an experimental data from Tamburawa water treatment plant in Kano, Nigeria. Simulation results demonstrated that the neural network model outperformed the Hammerstein-Wiener model in estimating the turbidity. The neural network model may serve as a valuable tool for predicting the turbidity in the plant.
39 citations
TL;DR: The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation and showed that the proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.
Abstract: Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed independently, having size of 8x8 pixels. For unmodified image, all 8x8 grids should have a similar error level. For resaving operation, each block should degrade at approximately the same rate due to the introduction of similar amount of errors across the entire image. For modified image, the altered blocks should have higher error potential compred to the remaining part of the image. The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. The error level analysis (ELA) was further enhanced using vertical and horizontal histograms of ELA image to pinpoint the exact location of modification. Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.
35 citations
TL;DR: Rabin-Karp algorithm is much more effective and faster in the process of detecting the document with the size more than 1000 KB and Jaro-Winkler Distance algorithm has advantages in terms of time.
Abstract: Plagiarism is an act that is considered by the university as a fraud by taking someone ideas or writings without mentioning the references and claimed as his own. Plagiarism detection system is generally implement string matching algorithm in a text document to search for common words between documents. There are some algorithms used for string matching, two of them are Rabin-Karp and Jaro-Winkler Distance algorithms. Rabin-Karp algorithm is one of compatible algorithms to solve the problem of multiple string patterns, while, Jaro-Winkler Distance algorithm has advantages in terms of time. A plagiarism detection application is developed and tested on different types of documents, i.e. doc, docx, pdf and txt. From the experimental results, we obtained that both of these algorithms can be used to perform plagiarism detection of those documents, but in terms of their effectiveness, Rabin-Karp algorithm is much more effective and faster in the process of detecting the document with the size more than 1000 KB.
26 citations
TL;DR: Test results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use, are still relevant used to measure the user acceptance of technology.
Abstract: Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.
26 citations
TL;DR: In this paper, a solution to solve the network reconfiguration, DG coordination and capacitance coordination simultaneously using Artificial Bee Colony (ABC) is presented. And the proposed approach is applied to a 33-bus test system and simulate by using MATLAB programming.
Abstract: This paper presents a solution to solve the network reconfiguration, DG coordination (location and size) and capacitor coordination (location and size), simultaneously. The proposed solution will be determined by using Artificial Bee Colony (ABC). Various case studies are presented to see the impact on the test system, in term of power loss reduction and also voltage profiles. The proposed approach is applied to a 33-bus test system and simulate by using MATLAB programming. The simulation results show that combination of DG, capacitor and network reconfiguration gives a positive impact on total power losses minimization as well as voltage profile improvement compared to other case studies.
21 citations
TL;DR: The PMSM model is based on electronic components rather than mathematical blocks, this enabled us to achieve simulation results more realistic, and all the modules of this simulation, such as inverter and pwm generator are made from scratch instead of using premade Simulink blocks.
Abstract: On the basis of analysis of dq model of permanent magnet synchronous motor (PMSM) and principle of field oriented control (FOC), detail modelling of PMSM drive system and simulation results presented in this paper. The PMSM model is based on electronic components rather than mathematical blocks, this enabled us to achieve simulation results more realistic. Moreover all the modules of this simulation, such as inverter and pwm generator are made from scratch instead of using premade Simulink blocks. Simulation was carried on the basis of step change in speed and torque then made performance comparison of several parameters such as abc current, dq current, speed and torque.
19 citations
TL;DR: Docker containers provide better or similar performance compared to traditional hypervisor based virtual machines in almost all the tests, however as expected the native system still provides the best performance as compared to either containers or hypervisors.
Abstract: Server virtualization is a fundamental technological innovation that is used extensively in IT enterprises. Server virtualization enables creation of multiple virtual machines on single underlying physical machine. It is realized either in form of hypervisors or containers. Hypervisor is an extra layer of abstraction between the hardware and virtual machines that emulates underlying hardware. In contrast, the more recent container-based virtualization technology runs on host kernel without additional layer of abstraction.Thus container technology is expected to provide near native performance compared to hypervisor based technology. We have conducted a series of experiments to measure and compare the performance of workloads over hypervisor based virtual machines, Docker containers and native bare metal machine. We use a standard benchmark workload suite that stress CPU, memory, disk IO and system. The results obtained show that Docker containers provide better or similar performance compared to traditional hypervisor based virtual machines in almost all the tests. However as expected the native system still provides the best performance as compared to either containers or hypervisors.
19 citations
TL;DR: This paper is designed to avoid such kind of accidents and to alert the fishermen about border area well before using latest technology of Global Positioning System (GPS) and Global System for Mobile communication (GSM).
Abstract: Countries with the International Marine time Boundary Line (IMBL) will always has security problems and continuous life threatens for those fishermen whose family’s main economical support is fishing. Even in the peninsular country like India has their boundary limit in the ocean, the people of these coastal regions has the main work of fishing ,due to carelessness or without knowing their boundary limit of their country they crosses the borders. In such situation the lives of fishermen continued to be difficult. They may face bullets and attacks from opposite Navy, at the end of attack fishermen are being abducted and their boats are being captured. So our paper is designed to avoid such kind of accidents and to alert the fishermen about border area well before using latest technology of Global Positioning System (GPS) and Global System for Mobile communication (GSM). And also this paper shows how this technology can be used for detecting natural hazards and obtaining meteorological information of the ocean for the safe navigation of fishermen. Automatic Border Alert System for Fishermen using GPS and GSM techniques
19 citations
TL;DR: In this paper, the authors proposed an enhanced time of use (ToU) tariff scheme known as Enhanced ToU (EToU), which is the advanced version of current ToU where the daily time frame is divided into six period blocks.
Abstract: New Time of Use (ToU) tariff scheme known as Enhanced ToU (EToU) has been introduced on 1st January 2016 for industrial customers in Malaysia. EToU scheme is the advanced version of current ToU where the daily time frame is divided into six period blocks, as compared to only two in the existing ToU. Mid-peak tariff is introduced on top of peak-hour and off-peak tariff. The new scheme is designed to reduce Malaysia’s peak hour electricity demand. On customer side, they could be benefited from the low off-peak tariff by simply shifting their consumption. However, it depends on their consumption profile and their flexibility in shifting their consumption. Since EToU scheme is voluntary, each customer needs to perform cost-benefit analysis before deciding to switch into the scheme. This paper analyzes this problem by considering EToU tariff scheme for industry and customer’s electricity consumption profile. Case studies using different practical data from different industries are presented and discussed in this paper.
TL;DR: Accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method are required.
Abstract: Expert system applications were in great demand in various circles since 1950, with a coverage area that was large. Expert System on the organization was aimed at adding value, increasing productivity as well as the area of managerial can make decisions quickly and accurately. Neither with organizations that did business quail, which was very promising, but needed to be alert for the presence of disease in quail healthy, as in the case in birds quail were highly vulnerable to various kinds of diseases caused by viruses or bacteria. the benefits of the expert system that was able to diagnose quickly and accurately to the symptoms of the disease caused was expected to helped the farmers in of anticipation the many losses caused by disease. Required accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method.
TL;DR: The results have indicated that the proposed approach is able to obtain significant economic load dispatch solutions than those of Firefly Algorithm (FFA) and other soft computing techniques reported in the literature.
Abstract: This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The strength of the proposed meta-heuristic optimization technique CSA has been tested and validated on the standard IEEE 14-bus, 26-bus and 30-bus system with several heuristic load patterns. The results have indicated that the proposed approach is able to obtain significant economic load dispatch solutions than those of Firefly Algorithm (FFA) and other soft computing techniques reported in the literature.
TL;DR: In this article, an AFS control strategy using the combination of Composite Nonlinear Feedback (CNF) controller and Disturbance Observer (DOB) to achieve fast yaw rate tracking response which is also robust to the existence of disturbance.
Abstract: One of the dominant virtue of Steer-By-Wire (SBW) vehicle is its capability to enhance handling performance by installing Active Front Steering (AFS) system without the driver’s interferences. Hence, this paper introduced an AFS control strategy using the combination of Composite Nonlinear Feedback (CNF) controller and Disturbance Observer (DOB) to achieve fast yaw rate tracking response which is also robust to the existence of disturbance. The proposed control strategy is simulated in J-curve and Lane change manoevres with the presence of side wind disturbance via Matlab/Simulink sotware. Futhermore, comparison with Proportional Integral Derivative (PID) and Linear Quadratic Regulator (LQR) controllers are also conducted to evaluate the effectiveness of the proposed controller. The results showed that the combined CNF and DOB strategy achieved the fastest yaw rate tracking capability with the least impact of disturbance in the AFS system installed in SBW vehicle.
TL;DR: In this paper, the authors demonstrated performance comparison of optical humidity sensor for bare and multi-walled carbon nanotubes (MWCNTs) slurry coated tapered optical fiber.
Abstract: We demonstrated performance comparison of optical humidity sensor for bare and Multi-walled carbon nanotubes (MWCNTs) slurry coated tapered optical fiber. The starting material for MWCNTs slurry is MWCNTs- acrylonitrile butadiene styrene (ABS) based fused deposition modeling (FDM) 3D printer filament. The ABS was dissolved using acetone to produce MWCNTs-acetone suspension. The MWCNTs-acetone suspension was drop-casted on the tapered fiber to produce MWCNTs slurry by evaporation process at room temperature, which resulted the MWCNTs slurry attach to the tapered fiber. The MWCNTs slurry acts as the cladding for humidity changes measurement. The experimental works showed improvement of sensitivity from 3.811 μW/% of bare tapered fiber to 5.17 μW/% for the coated tapered fiber with MWCNTs slurry when the humidity varied from 45% to 80%.
TL;DR: E-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University are evaluated, showing perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence onuser acceptance.
Abstract: E-learning is a model of delivering learning content electronically with the help of computers and multimedia ABC University has implemented the e-learning system for two (2) years in order to improve the quality of teaching and learning process This study aims to determine the level of user acceptance, especially from the perspective of students In other words, this study also wants to evaluate the implementation of e-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University The research method used was survey with the approach of TAM (Technology Acceptance Model) as the technology acceptance evaluation model consisting of two main factors: perceived ease of use and perceived usefulness The results showed perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence on user acceptance The perceived ease of use also significantly positive influence perceived usefulness The variance of user acceptance could be explained by two factors about 505%
TL;DR: In this article, diagnostic techniques and methods for Gas insulated switchgear insulation degradation caused by partial discharge for the purpose of carrying out preventive maintenance to avert its failure are reviewed and discussed.
Abstract: Gas insulated switchgear (GIS) plays a vital role in high voltage transmission of electrical energy due to its advantages of high reliability and performance, compact in dimensions and outstanding compatibility with the environment. It uses sulphur hexafluoride gas as its insulant and coolant because of its high dielectric strength and excellent arc quenching ability. Gas insulated switchgear in operation suffers the challenge of its insulation decomposition and eventually failure due to the activities of partial discharge that arouses from defects. This failure is catastrophic and it will lead to entire power out stage that will affect all categories of human activities, so there is a need for Gas insulated switchgear condition monitoring and diagnoses in order to carry out preventive maintenance. This paper reviews diagnostic techniques and methods for Gas insulated switchgear insulation degradation caused by partial discharge for the purpose of carrying out preventive maintenance to avert its failure.
TL;DR: An adaptive KALAM e-learning system which can suits the learning styles of UMP students is proposed, and students can access learning materials that match the students' learning needs and preferences.
Abstract: Currently, e-learning is becoming an option as it can save the cost of education, time, and more flexible in its implementation. The main problem that arises is how to create e-learning content that is interesting and really fit the needs of the users. One way that can be done to optimize the content of e-learning is to analyze the user behavior. This study aims to analyze user (student) behavior in KALAM UMP, based on logs report (activity history), which is often called as behavioral tracking. First, the learning style of the students is determined based on Honey and Mumford Learning Styles Model by using Learning Styles Questionnaire. The analysis is done using SPSS 16.0 for Windows. The results shows that student with Reflector and Theorist learning styles access e-learning materials the most. From Spearman Correlation analysis, the relationship between learning styles and students’ behavior in e-learning is found to be very weak (r s =.276, p=.000), but statistically significant (p<0.05). In other words, students’ learning styles and behavior in e-learning have significant impacts on the improvement or degradation of students’ performance. Therefore, from the results of this study, an adaptive KALAM e-learning system which can suits the learning styles of UMP students is proposed. In adaptive e-learning system, students can access learning materials that match the students' learning needs and preferences.
TL;DR: The results show that the integration of solar energy resources in unit commitment scheduling can improve the total operating cost significantly and be compared with Dynamic Programming (DP).
Abstract: This paper proposed the integration of solar energy resources into the conventional unit commitment. The growing concern about the depletion of fossil fuels increased the awareness on the importance of renewable energy resources, as an alternative energy resources in unit commitment operation. However, the present renewable energy resources are intermitted due to unpredicted photovoltaic output. Therefore, Ant Lion Optimizer (ALO) is proposed to solve unit commitment problem in smart grid system with consideration of uncertainties .ALO is inspired by the hunting appliance of ant lions in natural surroundings. A 10-unit system with the constraints, such as power balance, spinning reserve, generation limit, minimum up and down time constraints are considered to prove the effectiveness of the proposed method. The performance of proposed algorithm are compared with the performance of Dynamic Programming (DP). The results show that the integration of solar energy resources in unit commitment scheduling can improve the total operating cost significantly.
TL;DR: In this paper, the impacts of lightning-induced transient overvoltage on a hybrid PV-Wind system has been addressed in a simulation model of a system by using PSCAD/EMTDC software and the results were obtained for 8/20 μs and 10/350 μs standards lightning waveforms with current magnitude of 100 kA.
Abstract: Study the impacts of lightning-induced transient overvoltage on a hybrid PV-Wind system has been addressed in this work. Overvoltage that is generated due to lightning stroke travels along the system where it can be very harmful to the expensive equipment of the system such as PV models, inverters, charge controllers, batteries, transformers, generator. etc. The simulation model of a system has been completed by using PSCAD/EMTDC software. The system comprises of 2 MW PV farm, battery system, 2.1 MW wind farm and loads which are all connected to the common AC bus and then to the utility grid through an interfacing transformer. Lightning current is generated by using the double exponential function, From the simulation results, when the lightning current is injected to the AC and DC sides of PV system, the transient current and voltage have appeared at different points of the hybrid system. The results were obtained for 8/20 μs and 10/350 μs standards lightning waveforms with current magnitude of 100 kA.
TL;DR: Considering the importance of perturbations during short-circuit (SC) in power conversion devices, this paper designed to find out the efficacy of symmetrical short circuit (SSC) of the synchronous generator (SG) and doubly fed induction generators (DFIG).
Abstract: Considering the importance of perturbations during short circuit (SC) in power conversion devices, this study designed to find out the efficacy of symmetrical short circuit (SSC) of the synchronous generator (SG) and doubly fed induction generators (DFIG). Both wind power systems were separately built (Park’s model) and simulated. Simulation results showed that the DFIG is more efficient, fault tolerant, and proficient systems as compared to the SG based on the transient time, steady state, maximum current, and voltage dip values. This study can extend to design protection schemes, more accurate, stable and optimal proficient wind power conversion devices.
TL;DR: Two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data and showed JSON is the best choice for query retrieving speed and CPU usage.
Abstract: Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML is chosen by many organization because of powerful approach during retrieval and storage processes. However, XML approach, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data. The results showed JSON is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
TL;DR: In this article, modeling and simulation of the solar photo-voltaic (PV) power generator is observed using Matlab-Simulink environment, and the effect of environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.
Abstract: In this paper, modeling and simulation of the solar photo-voltaic (PV) power generator is observed using Matlab-Simulink environment. The study the fore-mentioned photovoltaic systems in an efficient manner the knowledge of I-V and P-V characteristics is a prerequisite. Effect of environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.
TL;DR: This research presents to modeling and simulation of Static Var Compensator (SVC) in the power system network using Matlab/Simulink Software and shows that the SVC installation gives the effect to voltage of system.
Abstract: High demand in electricity consumption is rising and modern society would case to function without access to electricity. The volume of power transmitted and distributed are increasing, these need the requirements for high quality and reliable supply. At the same time, rising the costs and the growing environmental concerns make the process of develop a new power transmission line make complicated and the time consuming. One of alternatives to solve the issues is installed the Flexible AC Transmission System (FACTS). This research presents to modeling and simulation of Static Var Compensator (SVC) in the power system network using Matlab/Simulink Software. The objective function of this research is improvement the voltage of the system with four cases study for validation. From the simulation results shown that the SVC installation gives the effect to voltage of system.
TL;DR: Analysis of the significance of electricity cost reduction by using the optimization technique shows that the proposed optimization technique has the ability to reform the Maximum Demand from peak zone to off-peak zone to reduce electricity cost.
Abstract: The energy growth in Malaysia is rapidly increasing as the country moves forward with the advancement of industrial revolution. Peak hours require more energy generation, thus cost is also more expensive than during off-peak. Due to this reason, Demand Side Management (DSM) through Demand Response (DR) technique is introduced to modify the demand profile by implementing different strategies of measures. The objective of this study is to optimize the energy profile for commercial sector, as well as analyse the significance of electricity cost reduction by using the optimization technique. A Meta-heuristic technique called as Evolutionary Algorithm (EA) has been implemented in this study to optimize the load profile of a commercial installation. Significant testing shows that the proposed optimization technique has the ability to reform the Maximum Demand from peak zone to off-peak zone to reduce electricity cost. The test results have been validated through 4 cases, which are conventional method for C1 ETOU, C2 ETOU, and C1 ETOU with Optimization technique, and C2 ETOU with optimization technique tariff, respectively. The impact of the EP has been analysed, while the performance of six-time segmentation of C1 and C2 ETOU tariff indicate that the electricity cost for the medium voltage of installation has been reduced. It is hoped that the results from this study can benefit consumers by giving them the flexibility to rearrange their own energy consumption profile, so that the demand side will enjoy significant reduction of electricity cost in the future.
TL;DR: In this paper, a flux switching permanent magnet motor employing segmented outer rotor for high torque capability is presented, which is a type of electric machine that locates both flux source and armature windings on the stator leaving its rotor a simple piece of iron.
Abstract: Flux switching motor is a type of electric machine that locates both flux source and armature windings on the stator leaving its rotor a simple piece of iron. This machine was developed by combining the toothed stator structure of induction machine and the toothed rotor structure of switched reluctance machine together. Furthermore, it has three types of flux sources which include permanent magnet. Conventionally, the toothed kind of rotor has dominated machines rotor design and has been known for high manufacturing cost and iron loss, resulting to low performance. This calls for worry and the need to overcome it and also reduce the manufacturing cost while securing high torque. This paper presents flux switching permanent magnet motor employing segmented outer rotor for high torque capability. 2D-FEA using JMAG to investigate the motor characteristics in terms of flux linkage, Induce back-emf, cogging torque, maximum average torque and efficiency. Finally, preliminary results and comparison revealed that motors employing segmented rotor are capable of higher torque than conventional toothed rotor.
TL;DR: In this paper, a PID controller tuned with a harmony search algorithm is used for controlling the frequency and tie-line power responses of a non reheat two area power system, where step load perturbation has been given in both areas simultaneously.
Abstract: This paper deals with soft computing technique, used for tuning PID controller. Controller tuned with a harmony search algorithm is used for controlling the frequency and Tie-line power responses of a non reheat two area power system. Step load perturbation has been given in both areas simultaneously. The dynamic results obtained by the proposed controller are compared with PID controller of recent published paper. The performance of the controllers is simulated using MATLAB/Simulation software. The results of tuned PID are compared with conventional controller on the basis of settling-time, peak over-shoot and peak under-shoot. Proposed PID gives better results than the conventional controller. The comparative results also tabulated as a comparative performance.
TL;DR: This survey focuses on the existing estimation models used in traditional as well in agile software development.
Abstract: Software projects mostly exceeds budget, delivered late and does not meet with the customer’s satisfaction for years. In the past, many traditional development models like waterfall, spiral, iterative, and prototyping methods are used to build the software systems. In recent years, agile models are widely used in developing the software products. The major reasons are – simplicity, incorporating the requirement changes at any time, light-weight approach and delivering the working product early and in short duration. Whatever the development model used, it still remains a challenge for software engineer’s to accurately estimate the size, effort and the time required for developing the software system. This survey focuses on the existing estimation models used in traditional as well in agile software development.
TL;DR: This paper proposes to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm that outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
Abstract: Text preprocessing and document classification plays a vital role in web services discovery. Nearest centroid classifiers were mostly employed in high-dimensional application including genomics. Feature selection is a major problem in all classifiers and in this paper we propose to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm. The task here in this problem statement is to effectively assign a document to one or more classes. Besides being simple and robust, the centroid classifier s not effectively used for document classification due to the computational complexity and larger memory requirements. We address these problems through dimensionality reduction and effective feature set selection before training and testing the classifier. Our preliminary experimentation and results shows that the proposed method outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
TL;DR: Results show that the proposed design of ANPR in Android smartphone platform can be implemented effectively and higher coding efficiency, lower computational complexity, and higher the scalability.
Abstract: Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. It is a combination of hardware and software designed to offer the optimum reliability. Since the past decades, many researchers have been proposed to recognize the vehicle number plate and implemented it in various access control, law enforcement and security, including parking management system, toll gate access, border access, tracking of stolen vehicles and traffic violations (speed trap, illegal parking, etc). However, previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not many researches have been conducted on the design of ANPR in Android smartphone platform which has limited camera resolution and limited computational power. The main challenges of implementation ANPR algorithm on smartphone are higher coding efficiency, lower computational complexity, and higher the scalability. The objectives of this research is to design ANPR on Android smartphone, including graphical user interface (GUI) design, process design, and database design. First, a comprehensive survey on the pre-processing, segmentation, and optical character recognition is conducted. Secondly, proposed system development and algorithm implementation is explained in more details. Results show that our proposed design can be implemented effectively in Android smartphone platform.