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Keyword: AIDesign of Aerial Panoramic Photography: Contrast between Industrialized and Natural Zones
This study utilized aerial panoramic photography and 3D virtual reality to demonstrate the environmental changing issues. Environmental problems have occurred in the surroundings for a long time, but the public has gradually become numb. The wide view through aerial photography helps to show the difference. The proposed self-assembled drone equipped with an antishock bracket containing…
Read MoreGeneric Decision Support Model for Determining the Best Marketer
For marketing company, determining the best marketing is a strategic decision. It is able to affect the companys future purposefully. The study conducted to propose a novel decision support model (DSM) for determining the best marketer. Seventeen parameters were considered into model and two methods fuzzy logic and profile-matching (PM) were combined as main method…
Read MoreFine Tuning the Performance of Parallel Codes
We propose a multilevel method to speed highly optimized parallel codes whose runtime increases faster than their workload. This method requires the ability to solve large in- stances by decomposing them into smaller instances. Using a simple parallel computing model, we derive a mathematical model that predicts whether or not our method can im- prove…
Read MoreMentoring Model in an Active Learning Culture for Undergraduate Projects
Senior projects allow students to move the learning process from basic knowledge to an interdisciplinary approach. The purpose of this research is (1) to analysis attitude and perception, which is a collaboration between teachers and students to develop a model for clustering of appropriate advisors and advisee who cooperate in senior project, and (2) to…
Read MoreNon-Ridership Presumption Toward New Bus Rapid Transit Purwokerto-Purbalingga Execution
Bus Rapid Transit in Purwokerto-Purbalingga is a new mass transportation mode. Recently, the execution of the BRT has been going on for three years. In terms of service standards to ridership, the BRT has been fulfilled the requirement. However, during the execution, it shall be supported by the non-ridership (local communities) who get the impact…
Read MoreEthics as a Motivation Indicator in Second Language Vocational Digital Teaching
The non-selective second language course at vocational colleges and universities makes teachers strive at fostering students’ motivation to learn by choosing from a variety of enhancing factors. Teacher’s personality and skills if they comply with pedagogical ethics are considered to be inspiring for students to learn. The aim of this piloting study was to collect…
Read MoreAn Explanatory Review on Cybersecurity Capability Maturity Models
Cybersecurity is growing exponentially day by day in both the public and private sectors. This growth also comes with a new and dynamic cyber-threats risk that causes both sectors’ performance to halt. These sectors must update their cybersecurity measures and must understand the capability and maturity of their organization’s cybersecurity preparedness. Cybersecurity maturity models are…
Read MoreDetermination of ERP Readiness Assessment using Agile Parameters: A Case Study
At present, in the era of digitization the organizations need Enterprise Resource Planning (ERP) systems to have the ability adapt to changes with rapid response in order to increase the competitive advantage. The fact, many companies have failed to implement ERP which is proven to be not go live on time, so that the implementation…
Read MoreTowards Classification of Shrimp Diseases Using Transferred Convolutional Neural Networks
Vietnam is one of the top 5 largest shrimp exporters globally, and Mekong delta of Vietnam contributes more than 80% of total national production. Along with intensive farming and growing shrimp farming area, diseases are a severe threat to productivity and sustainable development. Timely response to emerging shrimp diseases is critical. Early detection and treatment…
Read MoreInterpolatory Projection Techniques for H2 Optimal Structure-Preserving Model Order Reduction of Second-Order Systems
This paper focuses on exploring efficient ways to find H2 optimal Structure-Preserving Model Order Reduction (SPMOR) of the second-order systems via interpolatory projection-based method Iterative Rational Krylov Algorithm (IRKA). To get the reduced models of the second- order systems, the classical IRKA deals with the equivalent first-order converted forms and estimates the first-order reduced models.…
Read MoreDeep Learning Approach for Automatic Topic Classification in an Online Submission System
Topic classification is a crucial task where knowledge categories exist within hierarchical information systems designed to facilitate knowledge search and discovery. An application of topic classification is article (e.g., journal/conference paper) classification which is very useful for online submission systems. In fact, numerous online journals/magazine submission systems usually receive thousands of article submissions or even…
Read MoreFuzzy Recognition by Logic-Predicate Network
The paper presents a description and justification of the correctness of fuzzy recognition by a logic-predicate network. Such a network is designed to recognize complex structured objects that can be described by predicate formulas. The NP-hardness of such an object recognition requires to separate the learning process, leaving it exponentially hard, and the recognition process…
Read MoreClustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao
The effects of Covid-19 severely affected the Thai higher education model. Therefore, there are three significant objectives in this research: (1) to cluster the mindsets and attitudes toward self-regulated learning styles of undergraduate students at the University of Phayao. (2) to construct a predictive model for recommending an appropriate student learning clusters. (3) to evaluate…
Read MoreDesign of a Flapping Wings Butterfly Robot based on Aerodynamics Force
Insect robots are always amazed by humans due to their ability to fly using a wing flapping mechanism. The butterfly robot was designed in this research based on aerodynamics and aeroelastic especially for designing a flapping mechanism due to its complexity. A butterfly wing structure was designed by considering aerodynamics forces based on assumptions. Aerodynamic…
Read MoreCorrelation-Based Incremental Learning Network for Gas Sensors Drift Compensation Classification
A gas sensor array is used for gas analysis to aid in an inspection. The signals from the sensor array are fed into machine learning models for learning and classification. These signals are characterized by time series fluctuating according to the environment or drift. When an unseen pattern is entered, the classification may be incorrect,…
Read MoreCOVID-19 Crises: Global Economic Shocks vs Pakistan Economic Shocks
This paper documents, information about the current outbreak of Corona virus and its multidimensional effects witnessed worldwide. The objective of the study is to disseminate information to policymakers, government and the general public, to facilitate the efforts for fighting against the contagious virus and aims to contribute to the economic and social welfare. Though the…
Read MoreMachine Learning for Network Intrusion Detection Based on SVM Binary Classification Model
Recently, the number of connected machines around the worldwide has become very large, generating a huge amount of data either to be stored or to be communicated. Data protection is a concern for all institutions, it is difficult to manage the masses of data that are susceptible to multiple threats. In this work, we present…
Read MoreEarthquake Response of Multi-Storey Infilled Reinforced Concrete Buildings
The aim of this work is to study the effect of infill brick panels on the response of multi-storey buildings under seismic loading. An eight storey building is investigated. The building is analysed under gravity and seismic loads. Infill panel is replaced by two struts according to FEMA306. Time history and pushover analyses are performed…
Read MoreModeling and Transformation from Temporal Object Relational Database into Mongodb: Rules
With such a big volume of data growing tremendously every day, and the storage of important volume of data becoming increasingly more flexible, NoSQL(Not only SQL or Non-Relational ) database are designed to store a large amount of information and are growing for big data systems in web analytics. It an approach does not require…
Read MorePerformance Analysis of Go-Back-N ARQ Protocol Used in Data Transmission Over Noisy Channels
Automatic Repeat reQuest (ARQ) protocols are used to control transmission errors in data communications. They are used at Data Link Control (DLC) sublayer of Data Link Layer (DLL) of OSI (Open Systems Interconnection) network model to achieve flow and error control and provide smooth and reliable transmission between network nodes. ARQ protocols use acknowledgments and…
Read MoreReal-Time Traffic Sign Detection and Recognition System for Assistive Driving
Road traffic accidents are primarily caused by drivers error. Safer roads infrastructure and facilities like traffic signs and signals are built to aid drivers on the road. But several factors affect the awareness of drivers to traffic signs including visual complexity, environmental condition, and poor drivers education. This led to the development of different ADAs…
Read MoreCustomer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques
Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction…
Read MoreOverview of Solar Radiation Estimation Techniques with Development of Solar Radiation Model Using Artificial Neural Network
Estimation Solar radiation is the most significant part of the optimization of solar power. This may be achieved if the solar radiation is predicted well in advance. Meteorological stations have radiation measuring devices like pyranometer, pyrheliometer, radiometer, solarimeter, etc. however, it may not be available at the location of interest for researchers. Due to this…
Read MoreA Support Vector Machine Based Technique for Fault Detection in A Power Distribution Integrated System with Renewable Energy Distributed Generation
The integration of renewable energy distributed generation (REDG) into the energized distribution power grid has become more popular in recent years. This has been escalated by the general global energy shortages. The REDG has proven to be effective for energy sustainability and reliability. However, there are technical challenges which arise from integrating REDG into the…
Read MoreOrganizational Agility Assessment of a Moroccan Healthcare Organization in Times of COVID-19
Since its appearance, COVID-19 has severely impacted the healthcare sector all over the world. The healthcare organizations should be agile in order to cope with this new health crisis. Indeed, organization agility was highly recommended as an essential basis for flexibility, innovation, speed, as well competitiveness. Different research provided different conceptual models suitable to evaluate…
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