- Все статьи 611
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 611
Generation Analysis of Blockchain Technology: Bitcoin and Ethereum
Статья научная
In this paper, the importance of blockchain technology have been discussed and the generations of blockchain (Bitcoin and Ethereum) have been compared provided different aspects. The blockchain is a technology which allows direct transaction without involving third party. Also, it offers many facilities like high translucency, high safety and security, improved trace-ability, greater proficient and transactions’ speed, and reduced costs. Moreover, the cryptocurrencies provide advance security level. The basic purpose of this study is to highlight different aspects of Blockchain, Bitcoin and Ethereum and to show which cryptocurrency is better approach. The research contributes to show the impact of this technology in different fields and a comparison of bitcoin and ethereum is presented to analyze and furnish a decision regarding the best among them. The use of blochchain technology in government applications can bring a drastic change in the world because it is safer and faster. Also, the comparison shows that ethereum is better than bitcoin as it is efficient and has more applications as compared to bitcoin. It offers more advanced services such as smart contracts. All in all, the analysis has concluded with Ethereum as faster and securer approach.
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Статья научная
In the past decades, many types of nature inspired optimization algorithms have been proposed to solve unconstrained global optimization problems. In this paper, a new hybrid algorithm is presented for solving the nonlinear unconstrained global optimization problems by combining the genetic algorithm (GA) and local search algorithm, which increase the capability of the algorithm to perform wide exploration and deep exploitation. The proposed algorithm is called a Genetic Local Search Algorithm with Self-Adaptive Population Resizing (GLSASAPR). GLSASAPR employs a self-adaptive population resizing mechanism in order to change the population size NP during the evolutionary process. Moreover, a new termination criterion has been applied in GLSASAPR, which is called population vector (PV ) in order to terminate the search instead of running the algorithm without any enhancement of the objective function values. GLSASAPR has been compared with eight relevant genetic algorithms on fifteen benchmark functions. The numerical results show that the proposed algorithm achieves good performance and it is less expensive and cheaper than the other algorithms.
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Grey wolf optimization for solving economic dispatch with multiple fuels and valve point loading
Статья научная
This paper bestows the newly developed Grey Wolf Optimization (GWO) method to solve the Economic Dispatch (ED) problem with multiple fuels. The GWO method imitates the superiority ranking and feeding mechanism of grey wolves in nature. For simulating the superiority ranking follows as alpha, beta, omega and delta. For feeding the prey grey wolves follows three steps, in the order of searching, encircling and attacking, are carry out to perform optimization. While searching for a better solution, GWO does not obligate any statistics about the gradient of the fitness function. The intention of ED is to curtail the fuel cost for any viable load demand and at the same time to determine the optimal power generation. The ED is modeled as a complex problem by considering multiple fuels, valve-point loading and transmission losses. The potency of the GWO method has been examined on ten units system with four different load demands by considering four different case studies. The result of the test systems shows, for practical power systems, that the GWO is a better option to solve the ED problems. Both the optimality of the solution to test system and the convergence speed of the GWO algorithm are promising.
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Статья научная
This paper presents a new approach to off-line handwritten numeral recognition based on structural and statistical features. Five different types of skeleton features: (horizontal, vertical crossings, end, branch, and cross points), number of contours in the image, Width-to-Height ratio, and distribution features are used for the recognition of numerals. We create two vectors Sample Feature Vector (SFV) is a vector which contains Structural and Statistical features of MNIST sample data base of handwritten numerals and Test Feature Vector (TFV) is a vector which contains Structural and Statistical features of MNIST test database of handwritten numerals. The performance of digit recognition system depends mainly on what kind of features are being used. The objective of this paper is to provide efficient and reliable techniques for recognition of handwritten numerals. A Euclidian minimum distance criterion is used to find minimum distances and k-nearest neighbor classifier is used to classify the numerals. MNIST database is used for both training and testing the system. A total 5000 numeral images are tested, and the overall accuracy is found to be 98.42%.
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Harnessing Social Networks Resources to Bring Social Interactions into Web-based IDEs
Статья научная
In modern Web, where users log to social networks has become a daily activity, the success of these applications to attract more users is often justified by offering social presence to the user on these virtual spaces. Developing applications in software engineering domain is a collaborative task that requires implementing more sophisticated tools to support all suitable collaboration aspects. Web-based IDEs have experienced a series of changes compared to their desktop versions, tending therefore to become more able to implement new collaboration approaches and mechanisms. Within the lack of social aspect in web-based IDEs, collaboration between developers does not seem to be optimal. This article presents a study of social networks resources that can be operated through the use of Application Programming Interfaces (APIs) thus providing a social aspect to web-based IDEs. It points how we can use these resources to create new collaborative experience in software engineering field.
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Health monitoring system for post-stroke management
Статья научная
This paper presents an intelligent health monitoring system for post management of stroke. Fitbit sensor was used to take the reading of four stroke patients in Federal Teaching Hospital, Gombe State, and the vital readings recorded were heartbeat rate, sleeping rate, the number of steps taken, for a period of four weeks. The developed AppFabric, Web service and AppFeedBack synchronized the operation of the sensor, the user mobile device and the medical diagnostic platform. The readings taken by the sensor were made available to the medical experts and the monitoring team using web service. The evaluation of the system in terms of efficiency and reliability using t-Test were (82.3, 85.9) and (1.729133, 2.093024) respectively. The results show that the developed system performed better than the existing manual method for monitoring stroke patients.
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Heart Disease Prediction Using Frequent Item Set Mining and Classification Technique
Статья научная
The heart is the most important part of the human body. Any abnormality in heart results heart related illness in which it obstructs blood vessels which causes heart attack, chest pain or stroke. Care and improvement of the health by the help of identification, prevention, and care of any kind of diseases is the main goal. So for this various prediction analysis methods are used which job is to identify the illness at prelim phase so that prevention and care of heart disease is done. This paper emphasizes on the care of heart diseases at a primitive phase so that it will lead to a successful cure. In this paper, diverse data mining classification method like Decision tree classification, Naive Bayes classification, Support Vector Machine classification, and k-NN classification are used for determination and safeguard of the diseases.
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Heterogeneous Cellular Interworking of WIMAX and UMTS for Sensitive Real-Time Services
Статья научная
Since internet connections are provided through a variety of disparate networks, connecting these networks and supporting heterogeneous interworking is a major issue particularly in cellular networks. The interworking issue becomes even more challenging when it comes to providing QoS for real time services. To improve QoS requirements of the real time data and to increase inter cellular mobility, we propose a cost-effective framework structure consists of four separate cellular models. The framework includes a heterogeneous interwork model that integrates cellular WiMAX and UMTS. Moreover, a pure WiMAX network model along with two pure UMTS network models is set up by the framework. The performance of the heterogeneous model is evaluated via simulation and analyzed against the measured metrics of the pure models to quantify the level of improvements from QoS of the real time packets point of view. Based on the results, the recommendations are made on the most appropriate model in regard to better QoS for VoIP in cellular networks.
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Hindrance to Requirements Engineering During Software Development with Globally Distributed Teams
Статья научная
With the increase in the availability of skilled software engineers, the process of global software development is being increasingly adopted by organizations, at a relatively lesser cost. This has led to software processes being more viable in a progressive manner for several reasons that include better communication technologies and the levels of maturity seen in the software industry. That being said, Organizations that undertake the decision of adopting Global software development should realize that this process isn't exactly a risk-free action and there have been many failures reported with regard to it. The existing bools of globally distributed projects portray a number of challenges. During the interactive phase, the need for particular consideration towards the requirements of the client and the globally dispersed distributed software provider teams has been indicated. This paper makes use of surveys collected from IT professionals and people working in the software industry in order to present realistic insights gathered from them.
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HitBand: A Prefetching Model to Increase Hit Rate and Reduce Bandwidth Consumption
Статья научная
Caching is a very important issue in distributed web system in order to reduce access latency and server load. A request is a hit if it is available in the cache and if not then it will fetch from the server in order to cache and serve the request. Researches have shown that generic algorithms of caching can increase hit rate up to 40−50%, but adding prefetching scheme can increase this rate to 20%. Prefetching is a technique to fetch documents before they are requested. This paper proposes a process model for prefetching named HitBand which will balance hit rate bandwidth in every scenario with the combination of "Roulette-wheel selection". Roulette-wheel selection is a very popular selection based algorithm which selects objects according to their fitness. We have compared our HitBand with the generic algorithms of prefetching like prefetching by popularity, apl characteristic, good Fetch and lifetime. Generic algorithms did not take web object size into consideration and in limited bandwidth scenario object size has a big impact on bandwidth consumption. Though prefetching by lifetime algorithm shows little concern about bandwidth consumption by getting the object with changes happening less frequently but this compromises the hit rate. But our proposed HitBand not only considers bandwidth but also hit rate during prefetching. Performance evaluation of HitBand along with other algorithms is provided in our paper. We have tested our HitBand with the testing engine which is built using JavaScript and maintained under AngularJS framework. From the performance evaluation, our HitBand shows better results both in high and low bandwidth.
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House Price Prediction Modeling Using Machine Learning
Статья научная
Machine Learning is seeing its growth more rapidly in this decade. Many applications and algorithms evolve in Machine Learning day to day. One such application found in journals is house price prediction. House prices are increasing every year which has necessitated the modeling of house price prediction. These models constructed, help the customers to purchase a house suitable for their need. Proposed work makes use of the attributes or features of the houses such as number of bedrooms available in the house, age of the house, travelling facility from the location, school facility available nearby the houses and Shopping malls available nearby the house location. House availability based on desired features of the house and house price prediction are modeled in the proposed work and the model is constructed for a small town in West Godavari district of Andhrapradesh. The work involves decision tree classification, decision tree regression and multiple linear regression and is implemented using Scikit-Learn Machine Learning Tool.
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IReadWeb: Towards Best Performance of WebAnyWhere
Статья научная
This article describes IReadWeb system, which is based on existing WebAnyWhere technology. The existing WebAnyWhere system uses depth-first search (DFS) to traverse the Document Object Model (DOM) during the Web surfing task. DFS uses an exhaustive search and crawls through an entire page until it identifies the target node thereby greatly increasing the response time to users. We developed a user-experienced based algorithm, which, unlike DFS, exploits pre-fetched information stored in a local cache to speed up the browsing task. The performance of IReadWeb is thoroughly evaluated and compared against WebAnyWhere by using a sizeable sample of blind native Arabic speakers. The experimental results show that IReadWeb outperformed WebAnyWhere in attaining fast response speed.
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Статья научная
Both small and large companies are facing tough competition in today’s rapidly changing environment. They should be able to adapt continuously to these changes and to exploit them as opportunities of development. Firms should then innovate in order to gain sustainable advantage, by proposing adequate products and services allowing them to increase market shares and sustain their growth. Disruptive technologies are thus adopted in order to conceive innovative products, to develop a new use of existing products/services or to optimize processes. In this article, we describe our theoretical framework and its main constructs. It presents the direct effect of information technology innovation on economic, social and environmental performance. Moreover, our proposed framework focuses on the intermediary role of organizational agility. In addition, the main findings of our quantitative study based on the analysis of survey data from 103 participants are highlighted. After verifying the validity and reliability of our questionnaire results, the framework’s hypotheses are tested using partial least squares path modeling method.
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Identification of a Better Laptop with Conflicting Criteria Using TOPSIS
Статья научная
Multi Criteria Decision Making (MCDM) methods are useful for evaluating several complex factors of multiple selection problems. The Multi-Objective problems are an extension of Single-Objective problems. The goal of MCDM is to help the decision maker to make a choice among a finite number of alternatives or to sort or rank a finite set of alternatives in terms of multiple criteria. Among the MCDM methods, the most widely applied method is TOPSIS. It is applied for different kinds of MCDM problems. In laptop selection process, it is difficult to select better laptop because relatively all laptops are seems to be same. By applying the TOPSIS method to the alternatives it is simple to differentiate the laptops from one another. The better laptop has been selected using TOPSIS based on conflicting criteria such as warranty, size, battery life, specification and others. This methodology also has been evaluated by MCDM evaluation metrics such as Time and Space Complexity, Sensitivity Analysis, ranking reversal and relative closeness coefficient.
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Image Restoration Algorithm Research on Local Motion-blur
Статья научная
In this paper, we aim at the restoration of local motion-blur. On the base of construction of basic model of local motion-blur, the formation mechanism of local motion-blur is analyzed, and a new restoration algorithm aimed at local motion-blur in a complex background is proposed. In the algorithm, the problem of restoration of blurred image with complex background is simplified. First, the blurred part is extracted from the complex background, and then it is pasted onto a bottom with monochromatic background. After restoration in the monochromatic background, the restored part is pasted back to the original complex background. All the operations can be completed in spatial domain. Because the restoration of blur image with monochromatic background is easier, so the algorithm proposed in this paper is simple, fast and effectual. It is an effective method of blur image restoration.
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Статья научная
An image represents millions of words which is depend on people interpretation. If image application considers for the marketing arena, then it represents to masses of peoples of different categories as per their requirements. The image-based marketing is an innovative and creative phenomenon which highly depends on geographical areas as well as on the interest of different placed habitat consumers. At recent times, the digital devices are widespread and it possesses by common peoples for completion of their daily miscellaneous needs and services. That is why, a new globe is opened for digital marketing, especially image-based marketing. Marketers jolt out traditional marketing strategies and adopt new marketing strategies to enhance productivity and sale. However, it is possible by application of a digital communication medium due to its effectiveness and efficiency. At recent times, the marketing paradigm has been shift very rapidly as per consumer mindset, for that, it is essential to switch into modern marketing technique keeping in mind of future firm prospect and its prosperity. Hence, in this research article, we discuss of how product sale grows by adopting digital marketing strategies, with that, we analyzed consumer behavior.
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Impact of Modification Rate in Artificial Bee Colony for Engineering Design Problems
Статья научная
Artificial Bee Colony (ABC), a recently proposed population based search heuristics which takes its inspiration from the intelligent foraging behavior of honey bees. In this study we have studied the impact of modification rate (MR) in basic ABC by gradually increasing it from 0.1 to 0.9. This impact is studied on four engineering design problems taken from literature. The simulated results show that it is beneficial to set the modification rate to a lower value.
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Impediments to Requirement Engineering in Distributed Team
Статья научная
Due to the greater availability of skilled software engineers, organizations are increasingly adopting Global Software Development, at relatively lesser costs. Software process in such distributed teams have turned out to be progressively more viable for numerous reasons, due to better communication technologies and maturity level of software industry. However organizations adopting Global Software Development must take into consideration that it is not a risk-free action, as many failures related to it have been reported. There are a number of challenges when existing tools of globally distributed projects are adopted. Upon deep evaluation of requirement analysis during interactive phase, particular consideration must be given to the requirements of clients and distributed software provider teams which are globally dispersed. In this paper, we present realistic insights gathered from carrying out surveys from IT professionals and people working in the software industry. Moreover, extensive examination of the literature work previously done in this regard is also documented in our paper. The objective of our paper is to get a clear idea about the major factors and challenges faced by the team members of the globally distributed team. After identification of these key factors, based on the results of our survey, we have endeavored to present an analysis on how to overcome these challenges.
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Implementation and Performance Effect on Electronic Procurement and its Ship Management Companies
Статья научная
Transportation industry in general and maritime transportation industry in particular are not exception in this regard. Customers, partners, agents, collaborators, shippers, port operators, suppliers and service agencies are involved in the ship transport industry supply chain, and one of the major requirements in such a supply chain in which all concerned parties are scattered all over the world, is the high speed transferring of data between them. In maritime transportation procurement process plays an essential role. In this study based on the literature review, seven most frequently mentioned factors found. These performance factors were: Cost, visibility of supply chain, cycle time, procurement control, inventory management and purchasing errors which were influenced by implementing E-Procurement. An attempt has been made in this research to find the performance effect of e-procurement implementation in ship management companies.
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Статья научная
This study aims to examine how to evaluate the activities undertaken in IDX. By building the system "business intelligence implementation to determine the evaluation of activities ". Where in this study also used the algorithm Naive Bayes in the process of data classification activities that have been done. The approach to the development of this software is through the study of libraries, data collection, system design, system implementation, Test systems and analysis. The tools used in the development of this software are Pentaho, PostgreSQL (as a data processing tool), Microsoft Excel (as a tool for creating training data), XAMPP (as a Web server tool) and the encoding used in this software development is the PHP CodeIgniter framework (as the backend), Highcharts (as Dashboard views) and DataTables (as table views). In this study, authors build software that is expected to help the Directorate of Development (RPE) in conducting evaluation activities in IDX. The analysis of the study uses variables from budget-realization data and activity categories as comparators to figure out the activity status. The study also used IDX activity data in 2018 to implement a built-in system. The results of this study show that the realization of the budget and category of this activity strongly affects the activities that will be evaluated or not evaluated. Activities in each of the IDX representative offices are also potentially to be evaluated, depending on the value of the budget specified in the training data set.
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