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International Journal of Information Engineering and Electronic Business @ijieeb
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 626
Analysis and prediction of individual stock prices of financial sector companies in NIFTY50
Статья научная
Prediction of the stock market is currently a big business opportunity for the data analytic solution providers. As the vast range of factors influencing the stock market index are available, it is essential to find the relation between those macroeconomic variables with company share prices and predict the accurate results. Our research is analyzing different relation between the prediction and individual stock prices of financial sector companies in National Stock Exchange 50(NIFTY 50). To make a strong portfolio the selection of different companies is one of the vital decisions we should attempt for a good investment. Trending researches regarding financial forecast are based on the accuracy of the models that how well National Stock Exchange (NSE) index values can be predicted. There is significant literature survey available on the prediction of the stock market as well as its pricing. NIFTY 50 is one of the well-known indexes in India for the investors seeking a good investment. In our research, we attempt, to forecast the stock values of different organizations of Banking and Financial sectors in NIFTY 50. Before including the factors to forecast share market index we are trying to find the relation between different factors and indices of those companies. The study empirically proves that the proposed model is precise to be used in real time stock prediction which can benefit the sellers, investors and stakeholders in their real time savings, investment, and speculation.
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Статья научная
Personal Health Record or we know as the medical record in Indonesia has its regulations relating to ownership, confidentiality and authorization from the authorities to provide medical record entries to their ownership. Not many health facilities in Indonesia that digitize medical record data storage and there are still many health facilities that use third parties to manage medical record data. This raises problems such as data access, data exchange, privacy, security and approval among the people involved in it. In this case, the doctor is authorized to provide the patient’s medical record, according to the examination results that have been carried out by the patient. Blockchain technology or distributed ledger technology seems to offer a solution to some of the problems encountered. Blockchain is a digital ledger of verified transactions that are locked chronologically in an encrypted chain. This platform uses a decentralized approach that allows the information to be distributed and that each piece of distributed information or commonly known as data have shared ownership. Based on these functional needs, Blockchain technology Ethereum can be a solution. Ethereum blockchain provides smart contract features that are stateful and Turing-completeness, so that it can be used to store data and execute complex operations. This study provides an overview of how blockchain technology can be a solution to problems that arise related to the storage of patient medical record data in Indonesia. While the InterPlanetary File System (IPFS) is used to accommodate file sharing requirements.
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Статья научная
The previous research revealed some functional coupling among nodes in model of motor control in human brain, which described nondirectional synchronous actions among these nodes during movement-readiness state. However, causal relationships among these nodes, which represent some directional interactions in movement-readiness state, are still lack. In the present study, we used functional magnetic resonance imaging (fMRI) and conditional Granger causality (CGC) method to investigate the interactions in model of motor control in left hand’s movement readiness state. Our results showed that upper precuneus (UPCU) and cingulated motor area (CMA) revealed net causal influences with contra lateral supplementary motor areas and contra lateral caudate nucleus during the left hand’s movement-readiness state. The net causal flows among these nodes can construct a closed circuit, which is similar as the circuit found in monkey’s brain and in human’s brain in right hand’s movement readiness state. This confirmed that there was an intrinsic circuit for motor control in either right hand’s or left hand’s movement readiness. Moreover, the results of Out-In degrees indicated that bilateral primary sensorimotor areas revealed competitive relationship during left hand’s movement-readiness.
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Analysis of Quantum Algorithms with Classical Systems Counterpart
Статья научная
In this note, we look into two quantum algorithms, Deutsch-Josza's and Shor's algorithms. An attempt made to analyze classical as well as quantum parts computation. With that, analyze classical as well quantum parts complexities.
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Статья научная
This study was based on changes in the work environment, from a pandemic to a post-pandemic state where employee performance began to increase. This study aimed to analyze the performance of employees who have improved based on environmental factors and communication through motivation as a mediator variable. This study was quantitative descriptive research with data collection using questionnaires. The population was employees of PT. Givaudan Indonesia, as an observation unit referred to as census techniques. Data analysis used Partial Least Square (PLS) based on the Structural Equation Model (SEM). The result of the study was the work environment has a positive and significant effect on motivation. The work environment has a positive but not significant effect on employee performance. Communication has a positive but not significant effect on motivation. Communication has a positive and significant effect on employee performance. Motivation has a negative and insignificant effect on employee performance. The work environment has a negative and insignificant effect on employee performance through motivation. Communication negatively and insignificantly affects employee performance through motivation. The work environment and communication simultaneously have a positive and significant effect on motivation. Work environment and communication as well as motivation simultaneously have a positive and significant effect on employee performance. The conclusion of this study shows that the work environment and communication affect performance, while motivation does not affect employee performance.
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Analysis of amazon product reviews using big data- apache pig tool
Статья научная
We live in the era of digital technologies where data is increasing day by day at a very high rate. The data is further popularly classified as ‘Big Data’ because of its velocity, veracity, variety and its huge volume. This data could be unstructured, semi-structured or structured as it is divergent in nature. In this work, we would assess various categories of Amazon Product Reviews, the large datasets that contain around 144 million reviews in total. The datasets consists of Product reviews collected from Amazon, each having various numbers of attributes of 11 different categories. The motive of this work is to find and compare the ratings of the products during the lifespan of the product reviews. Another goal of this work is to help Amazon regarding the listing of the products in their database. This work aims to relate user’s ratings and reviews to discover how beneficial and good a product is [6]. User ratings are collected and are analyzed based on different categories (datasets) which gives an insight as to which product performs good and what are the problems associated to a certain non-performing product.
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Analysis of the New Generation source-to-source Compilers Using the Google Web Toolkit
Статья научная
The role of source-to-source compilers nowadays increases faster since each high-level language is in a need to gain more recognition in each field of development. One of the fields that became very popular in the last ten years is web development, where the browsers became the “machines” of our everyday life. They are relevant and powerful, and the only drawback they have is that they only understand one language, that is JavaScript. The need of other languages to be included in the client side of the web development, created the steam for source-to-source compiling, sometimes referred as Transpiling, where one high level language as Java, C, C# and many others are translated mostly, but not solely, to JavaScript. A famous tool that is well recognized is Google Web Toolkit (GWT) which translates Java source code to JavaScript source code. The core of this tool is the compiler which is covered in great details in this paper. Main goal and benefit of this paper is to analyze and compare the difference of the process of translation to JavaScript by transpiler to the process of “normal” compiling and to highlight key aspects of this process.
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Analysis of the Time Trends of Precipitation over Mediterranean Region
Статья научная
Time trends of precipitation in the north of Algeria from meteorological radar are analysed. A probabilistic approach presented here proposes to study the evolution of the rainfall phenomenon in two distinct study areas, one located in sea and other located in ground. A decision criterion is established and based on radar reflectivity in order to classify the precipitation events located in both areas. At each radar observation, a state of precipitation is classified, either convective (heavy precipitation) or stratiform (average precipitation) both for the "sea" and for the "ground". In all, a time series of precipitation composed of three states; no raining, stratiform precipitation and convective precipitation, is obtained for each of the two areas. Thereby, we studied and characterized the behavior of precipitation in time by a Markov chain of order one with three states. Transition probabilities are calculated. The results show that rainfall is well described by a Markov chain of order one with three states. Indeed, the stationary probabilities, which are calculated by using the Markovian model, and the actual probabilities are almost identical.
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Analysis on Shape Image Retrieval Using DNN and ELM Classifiers for MRI Brain Tumor Images
Статья научная
The problem of searching a digital image in a very huge database is called Content Based Image Retrieval (CBIR). Shape is a significant cue for describing objects. In this paper, we have developed a shape feature extraction of MRI brain tumor image retrieval. We used T1 weighted image of MRI brain tumor images. There are two modules: feature extraction process and classification. First, the shape features are extracted using techniques like Scale invariant feature transform (SIFT), Harris corner detection and Zernike Moments. Second, the supervised learning algorithms like Deep neural network (DNN) and Extreme learning machine (ELM) are used to classify the brain tumor images. Experiments are performed using 1000 brain tumor images. In the performance evaluation, sensitivity, specificity, accuracy, error rate and f-measure are five measures are used. The Experiment result shows that highest average accuracy has got at Zernike Moments– 99%. So, Zernike Moments are better than SIFT and Harris corner detection techniques. The average time taken for DNN- 0.0901 sec, ELM- 0.0218 sec. So, ELM classifier is better than DNN. It increases the retrieval time and improves the retrieval accuracy significantly.
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Analyzing the Energy Efficiency and Sustainability Implications of IoT Tools in Smart Homes
Статья научная
This research endeavors to provide a thorough and insightful analysis of Internet of Things (IoT) tools within the context of smart homes. As the IoT continues to revolutionize the domestic landscape, understanding the integration, functionality, and user experience of these tools becomes paramount. The study surveys and categorizes prevalent IoT tools, encompassing sensors, processors, actuators, and databases. Integration capabilities are scrutinized, emphasizing interoperability and compatibility to ascertain the seamless incorporation of diverse IoT tools. Functional roles and contributions of each tool are dissected to illuminate their impact on automation, inter-connectivity, and overall control mechanisms in smart homes. The research extends its gaze to the user experience, exploring factors such as ease of use, reliability, and customization options, shaping the holistic perspective of IoT tools’ impact on residents. Realworld implementations and case studies provide tangible insights into practical applications, while surveys and interviews capture user perspectives, forming a comprehensive view of the challenges and limitations associated with these tools. This study contributes valuable insights for informed decision-making, empowering both users and developers to navigate the evolving landscape of IoT tools within the realm of smart homes.
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Android Based Forest Fire Monitoring System
Статья научная
Forest fires are burning areas of forest or land in large or small areas. Forest fires are often uncontrollable and when this happens, the fire will burn anything nearby for two reasons, one of which is burning naturally or burning caused by humans. One of the man-made fires deliberate by humans is the burning used by the community around the forest to open or clear agricultural or plantation land. The community feels that clearing land with fire does not require a long time and is more economical, if the use of fire is not used properly it can cause the forest to burn. Forest fires in Riau area are still classified as minimal or fires rarely occur. However, the community is at least aware of the forest fires in Riau due to a lack of media information about where the fire hotspots occurred. With this application, it can help the public to better know where the hotspots have been burned. This application consists of 2 levels of access, namely: admin and user. For admins and users, the manufacturing process uses the Android Studio application with Java as the programming language, this application uses Firebase as its database to find out the location of fire hotspots using the Google Maps API. Testing on the application is created to test whether the application has run as desired. Test results using white box testing method.
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Application of Biometric Security in Agent based Hotel Booking System - Android Environment
Статья научная
The process of finding the finest hotel in central location is time consuming, information overload and overwhelming and in some cases poses a security risk to the client. Some of the more advanced web sites allow for a search of the destination via a map for example hotelguidge.com and jamaica.hotels.hu. Booking of hotels is secured by the standard Secure Sockets Layer (SSL) to confirm the identity of a website or server, encrypt data during transmission, and ensure the integrity of transmitted data. Even with this in place, hackers have broken the Secure Sockets Layer (SSL) by targeting weaknesses in the MD5 algorithm. Recently good amount of work been carried in the use of Intelligent agents towards hotel search on J2ME based mobile handset which still has some weakness. So taking the weakness in the current agent based system, smart software agents been developed that overcomes the weakness in the previous system In addition to smart agent based system been developed and published elsewhere, we here propose to extend the system with the booking capability that allows the user to book a hotel of choice where the authenticity of the client may be determined securely using biometric security and information transmitted using Secure Sockets Layer (SSL) (Server-Gated Cryptography (SGC)) on the internet which is novel and unique. This will be facilitated on Android 2.2-enabled mobile phone using JADE-LEAP Agent development kit.
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Application of Data Mining Techniques in Weather Prediction and Climate Change Studies
Статья научная
Weather forecasting is a vital application in meteorology and has been one of the most scientifically and technologically challenging problems around the world in the last century. In this paper, we investigate the use of data mining techniques in forecasting maximum temperature, rainfall, evaporation and wind speed. This was carried out using Artificial Neural Network and Decision Tree algorithms and meteorological data collected between 2000 and 2009 from the city of Ibadan, Nigeria. A data model for the meteorological data was developed and this was used to train the classifier algorithms. The performances of these algorithms were compared using standard performance metrics, and the algorithm which gave the best results used to generate classification rules for the mean weather variables. A predictive Neural Network model was also developed for the weather prediction program and the results compared with actual weather data for the predicted periods. The results show that given enough case data, Data Mining techniques can be used for weather forecasting and climate change studies.
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Application of Krill Herd and Water Cycle Algorithms on Dynamic Economic Load Dispatch Problem
Статья научная
Dynamic economic dispatch (DED) is a complicated nonlinear constrained optimization problem and one of the most important problems in operation of power systems. In this paper two novel optimization algorithms have been proposed to be applied on DED problem. The first method, Krill herd (KHA) is a novel meta heuristic algorithm for solving optimization problems which is based on the simulation of the herding of the krill swarms as a biological and environmental inspired method and is applied on DED problem with two configurations named KHA1 and KHA2. The second algorithm is based on how the streams and rivers flow downhill toward the sea and change back in nature, named Water Cycle (WCA) method. Two common case studies considering various constraints have been used to show the effectiveness of these methods. The results and convergence characteristics show that the proposed methods are capable of giving high quality results which are better than many other previously applied algorithms.
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Application of an integrated support vector regression method in prediction of financial returns
Статья научная
Nowadays there are lots of novel forecasting approaches to improve the forecasting accuracy in the financial markets. Support Vector Machine (SVM) as a modern statistical tool has been successfully used to solve nonlinear regression and time series problem. Unlike most conventional neural network models which are based on the empirical risk minimization principle, SVM applies the structural risk minimization principle to minimize an upper bound of the generalization error rather than minimizing the training error. To build an effective SVM model, SVM parameters must be set carefully. This study proposes a novel approach, support vector machine method combined with genetic algorithm (GA) for feature selection and chaotic particle swarm optimization(CPSO) for parameter optimization support vector Regression(SVR),to predict financial returns. The advantage of the GA-CPSO-SVR (Support Vector Regression) is that it can deal with feature selection and SVM parameter optimization simultaneously A numerical example is employed to compare the performance of the proposed model. Experiment results show that the proposed model outperforms the other approaches in forecasting financial returns.
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Architecture model of integrated Web-based e-trading business process management system
Статья научная
This paper describes development of architecture for integrated informational Web-based e-trading business process management system. An approach is justified for formation of embedded informational system architecture based on typical IT solutions. A Service Oriented Architecture (SOA) using Enterprise Service Bus (ESB) concept is offered for architectural implementation of the Web-based system. Typical informational systems that belong to the Web-system are used as services. The web-services implement SOAP protocol based on WSDL (Web Services Description Language) and UDDI (Universal Description, Discovery and Integration) specifications. Application of ESB and SOA provides scalability of Web-based e-trading management system, possibility for their enhancement and upgrading. The principle of basic architecture of Internet has been implemented in the architecture of integrated trading informational system taking into account transition to informational level.
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Area & power optimization of asynchronous processor using Xilinx ISE & Vivado
Статья научная
As the technology era has been changing, the designing pattern of an IC is also changing. An IC de-signing is now divided into two definite fields i.e. Front-End design and Back-End design. The Front-End design is using HDLs (Hardware Description Languages i.e. VHDL or Verilog) and the verification of those ICs, whereas the Back-End Design is related to the Physical Design techniques. But both of the IC design techniques required some extra efforts in terms of their Speed, Shape, and Size, which needs the Optimization efforts. This pa-per deals with the area and power optimization efforts in terms of the logic utilization by using XST & Vivado Tools. After applying area optimization techniques i.e. Logic Optimization, LUT mapping and Resource Sharing etc. on already designed asynchronous microprocessor to be used as model for proposed optimization, reasonable results in terms of power and area utilization have been achieved.
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Статья научная
In this research, an artificial chattering free adaptive fuzzy modified sliding mode control design and application to continuum robotic manipulator has proposed in order to design high performance nonlinear controller in the presence of uncertainties. Regarding to the positive points in sliding mode controller, fuzzy logic controller and online tuning method, the output improves. Each method by adding to the previous controller has covered negative points. The main target in this research is design of model free estimator on-line sliding mode fuzzy algorithm for continuum robot manipulator to reach an acceptable performance. Continuum robot manipulators are highly nonlinear, and a number of parameters are uncertain, therefore design model free controller by both analytical and empirical paradigms are the main goal. Although classical sliding mode methodology has acceptable performance with known dynamic parameters such as stability and robustness but there are two important disadvantages as below: chattering phenomenon and mathematical nonlinear dynamic equivalent controller part. To solve the chattering fuzzy logic inference applied instead of dead zone function. To solve the equivalent problems in classical sliding mode controller this paper focuses on applied on-line tuning method in classical controller. This algorithm works very well in certain and uncertain environment. The system performance in sliding mode controller is sensitive to the sliding function. Therefore, compute the optimum value of sliding function for a system is the next challenge. This problem has solved by adjusting sliding function of the on-line method continuously in real-time. In this way, the overall system performance has improved with respect to the classical sliding mode controller. This controller solved chattering phenomenon as well as mathematical nonlinear equivalent part by applied modified PID supervisory method in modified fuzzy sliding mode controller and tuning the sliding function.
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Assessing Similarity between Software Requirements: A Semantic Approach
Статья научная
The majority of projects fail to achieve their intended objectives, according to research. This could arise for a number of reasons, such as ensuring requirements are managed, excessive documentation of the code, or the difficulty in delivering software that includes all the requested features on time. An effort could be made to overcome such failure rates by establishing a proper management of requirements and concept of reusability. The correct requirements can be identified by checking similarity between the requirements received from the various stakeholders. A reusable software component can result in substantial savings in both time and money. It can be challenging to make a choice regarding the reuse of certain software components. A comparison of the requirements of a new project with those of previous projects prior to starting a new project or even at a later stage during development is useful for identifying reusable components. This paper proposes a framework (ReSim) for identifying software requirements' similarities, in an attempt to improve reusability and identify the correct requirements. A crucial component of ReSim is to measure similarity between software requirements. Different well-known similarity measurement techniques used by the researchers to evaluate the similarity between the software requirements. Some of the methods used to measure this include dice, jaccard, and cosine coefficients, but in this paper, we have used recently developed hybrid method which considers not only semantic information including lexical databases, word embeddings, and corpus statistics, but also implied word order information and produced significant improvements in the results related to the measurement of semantic similarity between words and sentences. As part of the experiments, the study used PURE dataset - in order to demonstrate the efficacy of the proposed framework. As a result, recently developed hybrid method of measuring the requirements similarity is more accurate than Dice, Jaccard, and Cosine, while Cosine is a better choice than Dice, and Jaccard is more accurate than Dice. Thus, ReSim outperforms existing approaches when tested on the PURE dataset, providing the most accurate results for both functional and non-functional requirements.
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Assessing the Behaviour of Web Services using Finite States
Статья научная
Web service are the technology of a choice when developing business applications that needs to be loosely coupled, platform independent and capable to cross enterprise boundaries. The interactions that occur between web services need to be captured because such interactions would be very useful if captured using appropriate structures and analyzed for various purposes such as assessing the responsiveness of a web service to complete peer's requests. Since the invocations of web services (WS) are dynamic, the behaviour of the WS will be dynamic depending on how the invocations discover, and get serviced by WSs. For this reason if the states of the behaviour of a WS can be captured and assessed, then tuning the WS and its performance improvement can be engineered at any stage. This work is presented in this paper.
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