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Keyword: distanceAssessment of the Municipal Solid Waste Transfer Stations Suitability in Harare, Zimbabwe
The suitability of incorporating waste transfer stations (WTS) in likely future Municipal Solid Waste Management (MSWM) systems for Harare city and neighbouring urban centres was assessed under this study. WTS will bring about location of landfills and other MSWM facilities further away from population centres, increasing recycling, reducing waste collection costs and burden on the…
Read MoreTeaching/Learning Strategies in Context of Education 4.0
Coronavirus pandemic and transition to distance learning have significantly accelerated the introduction of Education 3.0 – 4.0 technologies into traditional educational process. This paper discusses questions of training of IT- specialists in context of Education 4.0. Based on our experience, approaches to the organization of the educational process of IT- students are considered. It is…
Read MoreFusion of Optical and Microfabricated Eddy-Current Sensors for the Non-Destructive Detection of Grinding Burn
A sensor fusion concept integrating the optical and microfabricated eddy-current sensor for the non-destructive testing of the grinding burn is reported. For evaluation, reference grinding burn with varying degrees are fabricated on 42CrMo4 tool steel cylinder. The complementary sensing nature of the proposed sensors for the non-destructive testing of the grinding burn is successfully achieved,…
Read MoreProcrustes Dynamic Time Wrapping Analysis for Automated Surgical Skill Evaluation
Classic surgical skill evaluation is performed by an expert surgeon examining an apprentice in a hospital operating room. This method suffers from being subjective and expensive. As surgery becomes more complex and specialized, there is an increase need for an automated surgical skill evaluation system that is more objective and determines more exactly the skills…
Read MoreAuditing the Siting of Petrol Stations in the City of Douala, Cameroon: Do they Fulfil the Necessary Regulatory Requirements?
No other form of technological development had negatively skewed from existing regulations as the siting of petrol filing stations. An audit of the degree to which their operators repeatedly violate the rules regulating their location and operations may encourage the legislature to pass laws that can ensure a balance between the economy and the environment.…
Read MoreIndoor Positioning System using WKNN and LSTM Combined via Ensemble Learning
Indoor positioning system (IPS) has become a high demand research field to be developed and has made considerable progress in recent years. Wi-Fi fingerprinting is the most promising technique that produces an acceptable result. However, despite the large amount of research that has been done using Wi-Fi fingerprinting, only a few Wi-Fi based IPS in…
Read MoreRecognition of Maximal Lift Capacity using the Polylift
Background: Occupational injuries are an issue of huge significance in the United States. After a work injury, health care providers often utilize functional capacity evaluations to determine readiness of a patient to return to work. However, it can be difficult to determine if a patient is providing maximal “effort” during the evaluation. The aim of…
Read MoreSome Results on Fixed Points Related to \( \phi-\psi \) Functions in JS – Generalized Metric Spaces
In this paper are shown some new results on fixed point related to a φ – ψ contractive map in JS – generalized metric spaces X. It proves that there exists a unique fixed point for a nonlinear map f:X→X, using two altering distance functions. Furthermore, it gives some results which related to a couple…
Read MoreA Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)
Traditional networks have difficulty in meeting the technological developments and the continuous increase in the size of data to be processed. Software-Defined Network (SDN) approach has emerged as an alternative to traditional networks. SDN separates the control and data planes from each other and manages the network over the control plane with flexibility and cost…
Read MoreImage Tag Recommendation based on Ranked Categorical Nearest Neighbors and Weighted Tag Features
The huge number of images on the image sharing websites poses challenges for classification and retrieval of the images. On many image sharing websites, tags can be assigned by the users to an image that describes the contextual and visual description of an image. However, ambiguous or incorrect tags have appeared in frequent tags that…
Read MoreEvolution of Teaching Approaches for Science, Engineering and Technology within an Online Environment: A Review
The emergence of the COVID-19 pandemic earlier this year destabilised the operations in the education sector, particularly in institutions of higher learning. Most of these institutions are now expected to teach online, assess their students using non-venue examinations and offer remote laboratory practical and experiments. However, many of these institutions were not prepared for such…
Read MoreA Novel Approach of Smart Logistics for the Health-Care Sector Using Genetic Algorithm
The heath-care sector has confronted significant difficulties in the past few years due to several issues such as insufficient human resources, budget cuts, and shortage of equipment and drugs. The logistics in the health-care sector take an extensive part of the budget, especially since it is the main axis to provide the hospital’s pharmacies with…
Read MoreComparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing
Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for at-home use. The position of the viewer’s mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance. The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for…
Read MoreVietnamese Text Classification with TextRank and Jaccard Similarity Coefficient
Text classification is considered one of the most fundamental and essential problems that deal with automatically classifying textual resources into pre-defined categories. Numerous algorithms, datasets, and evaluation measurements have been proposed to address the task. Within the era of information redundancy, it is challenging and time-consuming to engineering a sizable amount of data in multi-languages…
Read MoreInfrared Uplink Implementation for Software Defined Visible Light Communication Systems
The main advantage of software-defined visible light communication (VLC) systems is that they allow us to reuse modulation, coding, synchronization and medium access techniques used in conventional radio systems. This article focuses on the implementation of an uplink alternative using an infrared (IR) light communication system. For this goal, analog front-ends are designed and implemented.…
Read MoreApproach to a Logistic Model to Reduce Costs for Delivery at Home of a Seller of Supplies in Times of Coronavirus
Logistics is a science and art that has been widely used by large commercial chains, whose main objectives focus on the distribution of products or services. This understanding has generated various logistics studies directed towards those businesses, without considering that science can also be applied to small or medium enterprises. The present study initially executes…
Read MoreTransient Response & Electromagnetic Behaviour of Flexible Bow-Tie Shaped Chip-less RFID Tag for General IoT Applications
This paper is an extension of Novel Flexible Chip-less Bow-Tie RFID tag in which we presented the design, testing and fabrication of the tag and compared the results with Octagonal Chipless RFID tag. The chipless RFID tag was designed by using simulation software CST microwave studio and fabricated by using laser etching technique on a…
Read MoreStudent’s Belief Detection and Segmentation for Real-Time: A Case Study of Indian University
This paper has explored the technology beliefs of university students considering four parameters. We have proposed an automatic belief identification system for academic institutions. For this, we used two different clustering algorithms to segment the student group with different beliefs about the technology. In the Hierarchical Clustering (HC), the Agglomerative approach was followed. The beliefs…
Read MoreA Typological Study of Portuguese Mortality from Non-communicable Diseases
The most common non-communicable diseases, such as cardiovascular diseases and cancer, are a problem in global and national growth. The World Health Organization considers it a priority to study the specific causes of these diseases for trend monitoring. The aim of this paper is to identify a hierarchy of clusters of Portuguese mortality by non-communicable…
Read MoreEvaluation of Disadvantaged Regions in East Java Based-on the 33 Indicators of the Ministry of Villages, Development of Disadvantaged Regions, and Transmigration Using the Ensemble ROCK (Robust Clustering Using Link) Method
East Java province is a large province in Indonesia, in which Surabaya is the second largest metropolitan city after Jakarta. Various problems of development inequality in East Java have caused East Java to be defined as a disadvantaged area in 2015. The determination of disadvantaged regions is carried out every 5 years using 6 criteria…
Read MoreDetailed Security Evaluation of ARANz, ARAN and AODV Protocols
Ad-Hoc networks are self-organized wireless networks. Finding a secure and efficient route leading from a specific source node to an intended destination node is one of the serious concerns in mobile Ad-Hoc networks. ARANz is one of the significant protocols that has been proposed for such networks. ARANz implements the authentication methods used with the…
Read MoreCase Study to Determine the Causes of Fire in Agriculture
The aim of this paper is to identify a critical link in the man – machine – environment system in the case of an adverse event, such as a hay baling fire, based on a comprehensive risk assessment method. The rate of spread of fires in agriculture depends on meteorological conditions, with large areas affected…
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 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 MoreCluster Centroid-Based Energy Efficient Routing Protocol for WSN-Assisted IoT
Wireless sensor network is highly resource constrained, where energy efficiency and network lifetime plays a major role for its sustenance. As the sensor nodes are battery operated and deployed in hostile environments, either recharging or replacement of batteries in sensor nodes is not possible after its deployment in inaccessible areas. In such condition, energy is…
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