scholarly journals Offshore Software Maintenance Outsourcing: Predicting Client’s Proposal using Supervised Learning

2021 ◽  
Vol 10 (1) ◽  
pp. 106-113
Keyword(s):  
Supervised Learning ◽  
Software Maintenance ◽  
Engineering Software ◽  
Software Products ◽  
Maintenance Outsourcing ◽  
Critical Problems ◽  
Testing Accuracy ◽  
Suitable Technique ◽  
Multiple Clients ◽  
Selection Of

In software engineering, software maintenance is the process of correction, updating, and improvement of software products after handed over to the customer. Through offshore software maintenance outsourcing (OSMO) clients can get advantages like reduce cost, save time, and improve quality. In most cases, the OSMO vendor generates considerable revenue. However, the selection of an appropriate proposal among multiple clients is one of the critical problems for OSMO vendors. The purpose of this paper is to suggest an effective machine learning technique that can be used by OSMO vendors to assess or predict the OSMO client’s proposal. The dataset is generated through a survey of OSMO vendors working in a developing country. The results showed that supervised learning-based classifiers like Naïve Bayesian, SMO, Logistics apprehended 69.75 %, 81.81 %, and 87.27 % testing accuracy respectively. This study concludes that supervised learning is the most suitable technique to predict the OSMO client's proposal.

scholarly journals Determination of Nearest Emergency Service Office using Haversine Formula Based on Android Platform

2018 ◽  
Vol 5 (2) ◽  
pp. 270-278 ◽  
Author(s):  
M. Basyir ◽  
M. Nasir ◽  
Suryati Suryati ◽  
Widdha Mellyssa
Keyword(s):  
Emergency Service ◽  
Emergency Services ◽  
Message Delivery ◽  
Test Results ◽  
Average Delay ◽  
Accuracy Test ◽  
Calculation Results ◽  
Testing Accuracy ◽  
Selection Of

Emergency Reporting Application is an android-based application that serves to help the community in reporting the emergency condition. This application allows users to choose and contact the emergency services office, without the need to notice their position and phone number. Selection of emergency services office is also automatically selected by the system by taking into account the distance between the complainant and the emergency services office. The selected emergency services office is the nearest emergency service office from the complainant so that the delay in coming assistance can be minimized. Therefore, this proposed application requires a GPS feature to recording, reporting and SMS positioning for message delivery of reports. The distance between the position of the complainant and the position of the emergency service office, in the form of latitude and longitude data, is requested using the Haversine formula taking into account the degree of curvature of the earth. Emergency service offices include police and hospital offices spread over 25 different districts. Furthermore, the reporter's position calculation results were compared with all selected emergency service offices and obtained 1 nearest emergency service office. Calculating the accuracy and delay value of the system will do system testing. Accuracy test results using the method of 100% Haversine and the average delay of the system is 4.5 seconds.

scholarly journals Optimisation of process parameters for M.A.G welding of API X70m material to predict tensile strength using Taguchi method

2021 ◽  
Vol 39 (4) ◽  
pp. 1100-1107
Author(s):  
N.S. Akonyi ◽  
O.A. Olugboji ◽  
E.A.P. Egbe ◽  
O. Adedipe ◽  
S.A. Lawal
Keyword(s):  
Tensile Strength ◽  
Process Parameters ◽  
Welding Process ◽  
Statistical Technique ◽  
Engineering Software ◽  
Area Of Interest ◽  
Girth Welding ◽  
Welding Processes ◽  
Selection Of ◽  
Welding Technique

Girth welded replica of API X70M material have been produced on NG-GMAW welding technique. The particular area of interest is to develop suitable girth welding process parameter using NGGMAW. The major aim of the work was to replicate welds having tensile strength between 650 and 680 MPa. Design of Experiment (DoE) method by Taguchi design, using some selected welding processes was adopted. Two process parameters (factors) – arc voltage and wire feed rate, (the variables), and three levels were used. The resultant joint property on tensile strength of X70M pipeline was examined. The targeted mechanical property was achieved by selecting the best process parameters. Their effects on ultimate tensile strength – UTS was analysed using statistical technique – analysis of variance - ANOVA and Signal to Noise - S/N ratio with ‘thebigger-the–better’ value. Validation was done using MIDAS NFX (an FEA) mechanical engineering software. In conclusion, process parameters that affects or influences the girth welded properties of API X70M under field conditions were identified. Guidance for the specifications and selection of processes that could be used in field-welding for optimum performance has been recommended. Keywords: Optimization, Girth-Weld, Process Parameters, Tensile Strength, NG-GMAW

scholarly journals SPL Features Quantification and Selection Based on Multiple Multi-Level Objectives

2019 ◽  
Vol 9 (11) ◽  
pp. 2212 ◽  
Author(s):  
Fazal Qudus Khan ◽  
Shahrulniza Musa ◽  
Georgios Tsaramirsis ◽  
Seyed M. Buhari
Keyword(s):  
Large Scale ◽  
Search Algorithm ◽  
Added Value ◽  
Features Selection ◽  
Product Lines ◽  
Software Products ◽  
Multi Level ◽  
Feature Selection Approach ◽  
Selection Algorithms ◽  
Selection Of

Software Product Lines (SPLs) can aid modern ecosystems by rapidly developing large-scale software applications. SPLs produce new software products by combining existing components that are considered as features. Selection of features is challenging due to the large number of competing candidate features to choose from, with different properties, contributing towards different objectives. It is also a critical part of SPLs as they have a direct impact on the properties of the product. There have been a number of attempts to automate the selection of features. However, they offer limited flexibility in terms of specifying objectives and quantifying datasets based on these objectives, so they can be used by various selection algorithms. In this research we introduce a novel feature selection approach that supports multiple multi-level user defined objectives. A novel feature quantification method using twenty operators, capable of treating text-based and numeric values and three selection algorithms called Falcon, Jaguar, and Snail are introduced. Falcon and Jaguar are based on greedy algorithm while Snail is a variation of exhaustive search algorithm. With an increase in 4% execution time, Jaguar performed 6% and 8% better than Falcon in terms of added value and the number of features selected.

scholarly journals LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part I: Theoretical framework

2020 ◽  
Author(s):  
Stefano Letizia ◽  
Lu Zhan ◽  
Giacomo Valerio Iungo
Keyword(s):  
Optimal Design ◽  
Velocity Field ◽  
Scalar Fields ◽  
Theoretical Framework ◽  
Function Optimization ◽  
Objective Analysis ◽  
Lidar Measurements ◽  
Wind Statistics ◽  
Suitable Technique ◽  
Selection Of

Abstract. A LiDAR Statistical Barnes Objective Analysis (LiSBOA) for optimal design of LiDAR scans and retrieval of the velocity statistical moments is proposed. The LiSBOA represents an adaptation of the classical Barnes scheme for the statistical analysis of unstructured experimental data in N-dimensional spaces and it is a suitable technique for the evaluation over a structured Cartesian grid of the statistics of scalar fields sampled through scanning LiDARs. The LiSBOA is validated and characterized via a Monte Carlo approach applied to a synthetic velocity field. This revisited theoretical framework for the Barnes objective analysis enables the formulation of guidelines for optimal design of LiDAR experiments and efficient application of the LiSBOA for the post-processing of LiDAR measurements. The optimal design of LiDAR scans is formulated as a two cost-function optimization problem including the minimization of the percentage of the measurement volume not sampled with adequate spatial resolution and the minimization of the error on the mean of the velocity field. The optimal design of the LiDAR scans also guides the selection of the smoothing parameter and the total number of iterations to use for the Barnes scheme.

scholarly journals Towards a supervised rescoring system for unstructured data bases used to build specialized dictionaries

2014 ◽  
Vol 24 (38) ◽  
pp. 97
Author(s):  
Antonio Rico-Sulayes
Keyword(s):  
Supervised Learning ◽  
Learning Model ◽  
Training Data ◽  
Unstructured Data ◽  
High Quality ◽  
Data Bases ◽  
Common Resource ◽  
The Face ◽  
Lexical Items ◽  
Selection Of

<p align="justify">This article proposes the architecture for a system that uses previously learned weights to sort query results from unstructured data bases when building specialized dictionaries. A common resource in the construction of dictionaries, unstructured data bases have been especially useful in providing information about lexical items frequencies and examples in use. However, when building specialized dictionaries, whose selection of lexical items does not rely on frequency, the use of these data bases gets restricted to a simple provider of examples. Even in this task, the information unstructured data bases provide may not be very useful when looking for specialized uses of lexical items with various meanings and very long lists of results. In the face of this problem, long lists of hits can be rescored based on a supervised learning model that relies on previously helpful results. The allocation of a vast set of high quality training data for this rescoring system is reported here. Finally, the architecture of sucha system,an unprecedented tool in specialized lexicography, is proposed.</p>

scholarly journals Cooperative Selection and Communications for Internet of Everything in 6G Ultra-mMTC IoT Networks

2021 ◽  
Author(s):  
He Huang ◽  
Su Hu
Keyword(s):  
Cooperative Communications ◽  
Communication Technologies ◽  
Low Complexity ◽  
Underwater Acoustic Communication ◽  
Collaborative Communication ◽  
Integrated Networks ◽  
Internet Of Everything ◽  
Critical Problems ◽  
4G Lte ◽  
Selection Of

<p>Although Cooperative Communications (CC) already exists in 4G LTE/5G, performance improvement is just not enough, hence, how to apply collaborative technology in 6G to achieve Internet of Everything and improve communication quality significantly is one of most important issues. As 5G communications standard has gradually established recently, CC has been one of most critical communication technologies which plays a founding role on Internet of Everything in 6G networks. Thus, in this study we propose new 6G enabled ultra-massive Machine Type Communication (mMTC) framework based on space-ground integrated networks, and consider that collaborative ideology has been regarded as foundation theory which widely exists in future multiple hybrid scenarios, such as, Cognitive-Internet of Things (C-IoT) networks, UAVs (Unmanned Aerial Vehicles) communications, air-space-ground integrated networks, underwater acoustic communication and so on. Besides, we discuss other key communication technologies that are closely combined with unique communication scenes, and elaborate critical problems that shall be solved in 6G ultra-mMTC Internet of Everything networks. Furthermore, we discuss extreme low-complexity and fast ultra-massive relays selection algorithm to apply in all sorts of future 6G scenarios. At last, it is concluded that for arbitrary two communication points (source/destination devices, sensors, relays, IoT nodes and so on), ideology of nodes selection of collaborative communication is theory of foundation to realize and optimize communication transmission in 6G Internet of Everything ultra-mMTC networks. </p>

The Personal Computer as an Analytical Workstation: Integrating Standard Software Products

1986 ◽  
Vol 69 (5) ◽  
pp. 742-744
Author(s):  
Jeffery L Cawley
Keyword(s):  
Personal Computer ◽  
Data Transfer ◽  
Computer Programs ◽  
Data Handling ◽  
Software Products ◽  
Computer Equipment ◽  
Standard Software ◽  
And Training ◽  
Careful Assessment ◽  
Selection Of

Abstract The personal computer is a powerful scientific and administrative analytical tool. Commercial computer programs can be effectively combined to meet most data-handling and report-writing needs. The selection of specific computer equipment (hardware) and computer programs (software) should be based on a careful assessment of the flow of work in the data-handling, statistical analysis, and reportwriting phases of analytical projects and on an assessment of the time and training required of the users of the computer system. In most projects, data must be transferred between different hardware and software. The use of standard ASCII text files is recommended for data transfer.

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