Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
Development of Automated People Counting System using Object Detection and Tracking
Get PDFThe emergence of automation in the current economic trend promotes the usage of computer vision systems in various applications. Counting people in a specified area or on the street can bring many benefits in terms of security and marketing. The people counting system is one of the applications that utilize the computer vision system to count people with higher reliability and accuracy. Thus, this project is to develop an offline automated people counting system based on captured video file input using MATLAB software and a notification system to update and send notifications about the number of occupants in a target area using ThingSpeak. For project development, simulation and development of coding for object detection that involves deep learning approach, object tracking and counting, and development of notification system have been done. Three videos were taken to be used for three trials to evaluate the functionality and performance of the developed system. Based on the results and analysis, the system can perform people detection, people tracking and people counting on the recorded input videos with high accuracy of 94.45%, visualize the data on the ThingSpeak platform and send notifications through Twitter.
The Effect of Parental Social Status in Academia: Comparative Case of the Public/Private University in Morocco
Get PDFIn the education system, the different parental resources of university students are linked to social inequality by distinct mechanisms, they are reproduced and legitimized. The socio-economic status (SES) of students assumed to be indexed, by the level of education, parental occupation, or family income, is a predictor of educational outcomes. The implementation of interventions that reduce the gap in the achievement of Socio-Economic Status (SES), can face significant ideological obstacles. In a purely sociological approach, our comparative study analyzes through a questionnaire survey, the socio-economic and cultural environment of the students of two Moroccan universities, the Faculty of Sciences Ben M'Sick (FSBM) of Casablanca, a public institution, and a private institution located in the same city but geographically in an upscale neighborhood. The results obtained attest that the social and cultural heritage of parents transmitted to students has effects on social reproduction, as well as the strong significant involvement of social origin in the learning process
Sustainability Analysis of the Mountain Economy
Get PDFThe paper presents a vision for the future of Horizon 2050 and the sustainable effect of the mountain economy starting from the conceptual definition of montanology that “integrates knowledge (disciplines) in the following fields: agriculture, animal husbandry, human ecology, geo-ecology and pedology, biology, demography and ethnography, human and animal psychology, architecture, construction and building materials, elements of forestry and geology, beekeeping, fish farming, economics, organization and functioning of the mountain private household, as well as other specific systems, mountain systematization, mountain design, specific ergonomics, small industry and crafts, tourism and agrotourism, health education, nature material resources (minerals, plants and animals) and energy resources (unconventional), legislation and legal relations, other useful knowledge with mountain specifics, human resources - tradition and culture ”(R. Rey, 1985). Moreover, we intend to highlight in the paper the challenges and priorities at national and European level in the mountain economy.
The results of the paper highlight the complete solution for a sustainable mountain rural development, through which farmers will be able to get fair prices for raw materials "mountain products", which would meet the real needs of mountain farmers, small and medium par excellence, to increase family income, based on renewable resources and increasing farm capitalization and investment capacity, all of which are based on strategic guidelines with practical applicability following the professional experiences of the authors of the paper.
Key words: mountain economy, economic development, sustainability.
JEL Classification: O18, O44, Q56
ResFCNET: A Skin Lesion Segmentation Method Based on a Deep Residual Fully Convolutional Neural Network
Get PDFMelanoma, a high-level variant of skin cancer is very difficult to distinguish from other skin cancer types in patients. The presence of large variety of sizes of lesions, fuzzy boundaries and irregular shaped nature, with low contrast between skin lesions and surrounding fresh areas makes it clinically difficult to detect and treat melanoma. In this paper, we propose Residual Full Convolutional Network (ResFCNET) skin lesion recognition model that combines residual learning and full convolutional network to perform semantic segmentation of skin lesion. Based on secondary feature extraction and classification, experiment was done to verify the effectiveness of our model using ISBI 2016 and ISBI 2017 dataset. Results showed that residual convolution neural network obtain high precision classification. This technique is novel and provides a compelling insight for medical image segmentation.
 
An Exploratory Study on Measuring Teachers’ and Students’ Motivation for Craftsman Spirit in Higher Vocational Colleges
Get PDFSkilled people with craftsman spirit are a high-quality human resource for companies. It is described in detail in Chinese government documents and there is a growing body of local research, but very little research in the international academic arena. This study traces the origins of craftsman spirit and what it involves in research. A literature review of the connotations and dimensions of craftsman spirit is conducted to explore the empirical research methodology of craftsman spirit. In the manufacturing sector, semi-structured interviews were conducted with 11 professional leaders with the title of 'craftsman' and the data collected was analysed in Qualitative Analysis Software. The study concludes with the development of a measurement concept to motivate teachers and students to develop craftsman spirit, which is applicable to Chinese higher vocational colleges
Media Literacy and Young People’s Digital Skills
Get PDFThis paper aims to address the preparation of students for their digital skills in relation to media literacy and information technology. The research was conducted at the country level with students aged 11-15 years with 600 respondents from primary and secondary schools in Kosovo. The results show that most of them believe that the inclusion of the subject of “Media and Information Literacy” would help them in developing the necessary skills to properly use the new technology available. A survey was used as a working method, with the aim of obtaining results that tested the main hypothesis of the paper. The main theoretical approaches for media and information literacy are addressed in this paper, in order to contextualize the research and link it with the aspect of scientific theoretical treatments. The case study has extracted data for the first time on this issue in Kosovo, a country where the extent of the Internet access is the largest in the Western Balkans region
Higher Vocational Students’ Innovation and Entrepreneurship Ability Demand Prediction
Get PDFThe new era background and new social background put forward higher goals for the cultivation of innovative talents. The accurate prediction of the demand for innovation and entrepreneurship vocational ability of higher vocational students provides an important reference for higher vocational educators to formulate refined innovation and entrepreneurship education management strategies, more balanced allocation of limited innovation and entrepreneurship education resources, and make more scientific innovation and entrepreneurship education decisions. This paper studies the prediction of innovation and entrepreneurship vocational ability demand of higher vocational students under the background of digital informatization and theoretically discusses the demand for innovation and entrepreneurship vocational ability of higher vocational students and its connotation. It constructs the demand prediction framework of innovation and entrepreneurship vocational ability of higher vocational students for data identified on the Knowledge Retrieval Engine or High-quality Knowledge Q&A and Sharing Community, and develops the collection and use methods of students' innovation and entrepreneurship resource retrieval data. It makes the feature selection of the keyword sequence and the corresponding time lag sequence selected by the higher vocational students' innovation and entrepreneurship resource retrieval and builds the prediction model of the vocational ability demand for innovation and entrepreneurship of higher vocational students. Experimental results verify the effectiveness of the proposed model
Combination of M-learning with Problem Based Learning: Teaching Activities for Mathematics Teachers
Get PDFThis study was conducted to identify elements (teaching activities) that teachers can engage with involving a combination of M-learning methods with Problem-Based Learning methods (M-PBL). This study was conducted using the Nominal Group Technique (NGT) involving 11 experts with various fields of expertise such as mathematics education, educational technology, M-learning, pedagogy and the curriculum as well as primary school mathematics education teachers. The analysis of the findings was carried out using descriptive statistics (percentages) to determine the priority and ranking for each teaching activity. The findings show that overall, there are 30 relevant M-PBL teaching activities that can be carried out by teachers. The findings also show that teachers sharing the learning objectives that the pupils need to achieve using learning applications that are available on mobile devices (98%) ranked first while the teacher classifying the information obtained from each group according to priority through learning applications available on mobile devices (75%) ranked last. In conclusion, this study shows that both methods can be combined to form a new teaching method in the current 4.0 education era
Hiding Information in Digital Images Using LSB Steganography Technique
Get PDFThe highest way to protect data from intruder and unauthorized persons has become a major issue. This matter led to the development of many techniques for data security, such as Steganography, Cryptography, and Watermarking to disguise data. This paper proposes an image steganography method using the Least Significant Bits (LSB) technique and XOR operator and a secret key, through which the secret key is transformed into a one-dimensional bit stream array, then these bits are XORed with the bits of the secret image. Multiple experiments have been performed to embed color and grayscale images inside cover media. In this work, the LSB technique is ideal in two ways: firstly, only the least significant one-bit (1bit) of each byte will store the embedded data, this method is named (1-LSB). Secondly, the four least significant bits of the right half-byte (4 bits) of each byte will store the embedded data, this method is named (4-LSB). Subjective and objective analyzes were performed for each LSB process. The subjective analysis is responsible for both HVS and histogram, whereas the objective analysis involved both PSNR and MSE metrics.  
A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection
Get PDFUser confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption user-face is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact