Image encryption algorithm based on the density and 6D logistic map

One of the most difficult issues in the history of communication technology is the transmission of secure images. On the internet, photos are used and shared by millions of individuals for both private and business reasons. Utilizing encryption methods to change the original image into an unintelligible or scrambled version is one way to achieve safe image transfer over the network. Cryptographic approaches based on chaotic logistic theory provide several new and promising options for developing secure Image encryption methods. The main aim of this paper is to build a secure system for encrypting gray and color images. The proposed system consists of two stages, the first stage is the encryption process, in which the keys are generated depending on the chaotic logistic with the image density to encrypt the gray and color images, and the second stage is the decryption, which is the opposite of the encryption process to obtain the original image. The proposed method has been tested on two standard gray and color images publicly available. The test results indicate to the highest value of peak signal-to-noise ratio (PSNR), unified average changing intensity (UACI), number of pixel change rate (NPCR) are 7.7268, 50.2011 and 100, respectively. While the encryption and decryption speed up to 0.6319 and 0.5305 second respectively

A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing

Researchers widely have introduced the Artificial Bee Colony (ABC) as an optimization algorithm to deal with classification and prediction problems. ABC has been combined with different Artificial Intelligent (AI) techniques to obtain optimum performance indicators. This work introduces a hybrid of ABC, Genetic Algorithm (GA), and Back Propagation Neural Network (BPNN) in the application of classifying, and diagnosing Diabetic Mellitus (DM). The optimized algorithm is combined with a mutation technique of Genetic Algorithm (GA) to obtain the optimum set of training weights for a BPNN. The idea is to prove that weights’ initial index in their initialized set has an impact on the performance rate. Experiments are conducted in three different cases; standard BPNN alone, BPNN trained with ABC, and BPNN trained with the mutation based ABC. The work tests all three cases of optimization on two different datasets (Primary dataset, and Secondary dataset) of diabetic mellitus (DM). The primary dataset is built by this work through collecting 31 features of 501 DM patients in local hospitals. The secondary dataset is the Pima dataset. Results show that the BPNN trained with the mutation based ABC can produce better local solutions than the standard BPNN and BPNN trained in combination with ABC

Relationship Between the Selected Factors with Entrepreneurial Career Aspirations Among Students of Community Colleges in Malaysia

The purpose of this study is to identify the relationship between the selected factors and the entrepreneurial career aspirations among the community college students in Malaysia. The selected factors are attitude toward entrepreneurship, subjective norms, entrepreneurial self-efficacy, and entrepreneurial exposure. A total of 280 students from 8 community colleges in the selected states were chosen to participate in this study. Cluster random sampling was applied in selecting the samples. After the data cleaning process, 265 usable responses were used for analysis. Pearson correlation analysis was used to identify the relationship between the selected factors with entrepreneurial career aspirations. The findings in this study indicated that there is a significant positive relationship between attitude toward entrepreneurship (r = 0.597, p < 0.01), subjective norm (r = 0.327, p < 0.01), entrepreneurial self-efficacy (r = 0.362, p < 0.01), and entrepreneurial exposure (r = 0.263, p < 0.01) with entrepreneurial career aspirations. Based on the findings of this study, it can be concluded that the attitude toward entrepreneurship is the main factor motivating students to pursue entrepreneurial career. Through the findings, the practitioners are recommended to advocate the benefits and outcomes of entrepreneurship in order to encourage students to pursue entrepreneurial career.     Keywords: entrepreneurial career aspirations, attitude toward entrepreneurship, subjective norm, entrepreneurial self-efficacy, entrepreneurial exposure, technical and vocational education and training (TVET

A Bibliometric Analysis of the Top 100 Cited Articles on Hepatic Magnetic Resonance Imaging.

The purpose of this study is to guide the readers to the impact of the articles published on hepatic magnetic resonance imaging (MRI). We searched Scopus using 10 different search terms for hepatic MRI. The selected studies were thoroughly reviewed by two independent authors and any disagreement was sorted out by mutual consensus. The list of articles and journals was downloaded into an excel spreadsheet. Only the top 100 cited articles were selected by mutual consensus among all the authors. These articles were further read in the full-text form and were further categorized into subgroups. Three authors independently reviewed the top 100 selected articles, and subsequently data was extracted from them and analyzed. Our study showed that the highest number of top 100 cited articles on hepatic MRI were from Radiology (30 articles) followed by European Radiology (14 articles). The American Journal of Roentgenology, Radiographics, and Journal of Magnetic Resonance had seven articles each. The United States had the highest number of articles by region. Nineteen other journals contributed only one article each to the list of top 100 cited articles. The contribution of authors to the top 100 cited articles was reviewed; all the authors contributing with more than two articles to the highly cited articles are given in Table 3 in the supplementary material. The maximum number of articles were published during 2009 (14 articles), and for a five-year period, the maximum contribution was made during 2008-2013 (44 articles). Our analysis gives an insight on the frequency of citations of top articles on hepatic MRI, categorizes the subtopics, the timeline of the publications, and contributions from different geographic distributions

Machine learning based lightweight interference mitigation scheme for wireless sensor network

The interference issue is most vibrant on low-powered networks like wireless sensor network (WSN). In some cases, the heavy interference on WSN from different technologies and devices result in life threatening situations. In this paper, a machine learning (ML) based lightweight interference mitigation scheme for WSN is proposed. The scheme detects and identifies heterogeneous interference like Wifi, bluetooth and microwave oven using a lightweight feature extraction method and ML lightweight decision tree. It also provides WSN an adaptive interference mitigation solution by helping to choose packet scheduling, Acknowledgement (ACK)-retransmission or channel switching as the best countermeasure. The scheme is simulated with test data to evaluate the accuracy performance and the memory consumption. Evaluation of the proposed scheme’s memory profile shows a 14% memory saving compared to a fast fourier transform (FFT) based periodicity estimation technique and 3% less memory compared to logistic regression-based ML model, hence proving the scheme is lightweight. The validation test shows the scheme has a high accuracy at 95.24%. It shows a precision of 100% in detecting WiFi and microwave oven interference while a 90% precision in detecting bluetooth interference

A rare case of synovial sarcoma of the prostate causing urinary retention

Synovial sarcomas of the prostate are exceedingly rare malignant tumors. Only a few cases have been reported so far. We discuss a case of a 52-year-old male who presented with signs and symptoms of benign prostate hyperplasia (BPH) and was diagnosed with synovial sarcoma of the prostate. Since this sarcoma is rare, it can easily be misdiagnosed with BPH or adenocarcinoma of the prostate

MPEG-4 video transmission using distributed TDMA MAC protocol over IEEE 802.15.4 wireless technology

The issues of green technology nowadays give an inspiration to the researcher to make all the future design to be energy efficient. Medium Access Control (MAC) layer is the most effective layer to provide energy efficient due to its ability to control the physical radio directly. One of the important applications in the future is a video transmission that can be transmitted with low-cost and low power consumption. MPEG-4 is one of the international standards for moving video. MPEG-4 provide better compression and primarily design at low bit rate communication. In order to achieve good quality for video application, the design at MAC layer must be strong. Therefore, to increase the performance of the MPEG-4 in IEEE 802.15.4, in this paper we propose a cross layer design between MAC layer and Application layer. A priority queue will be implemented at MAC scheduling depends on the level of frame important in MPEG-4 format frame. A distributed Time division Multiple Access (TDMA) will be used for MAC protocol to provide reliable data transmission for high priority frame

Faktor-faktor yang mempengaruhi efikasi-kendiri guru sekolah menengah di Malaysia dalam pelaksanaan pendidikan alam sekitar

The aim of this study was to identify the factors that influence teacher's self-efficacy in Environmental Education in schools. The factors that have been identified are teachers' attitudes and awareness towards the environment and teachers' perception towards school principal's instructional leadership practices. The study involved 300 teachers from 30 secondary schools in Perlis represent North Zone, Selangor represent Central Zone, Pahang represent East Zone, Malacca representing South Zone and Sarawak represents East Malaysia. However, analysis of the study involves 263 respondents (87.7%) from 283 questionnaires collected. Descriptive statistics (mean, standard deviation, frequency and percentage) and inferential statistics (Multiple Linear Regression stepwise method) were used to analyse the data and present the findings. Overall, the results showed that the level of teacher self-efficacy in implementation of Environmental Education is moderate (M = 3.53, SD = .30). According to the perceptions of teachers, principals instructional leadership practices (M = 3:36, SD = .77) was moderate and teacher awareness towards the environment (M = 3.60, SD = .58) was also moderate. However, the attitude towards the environment is good and positive (M = 4.22, SD = .42). The result indicates that the factors that influence teachers self-efficacy in implementation of Environmental Education is the teacher environmental awareness (β = .323, p = .000), teachers' perception towards principals instructional leadership practices for Dimensions of Climate Fostering Teaching and Education Learning Environment (β = .298, p = .001), attitude towards the environment (β = .234, p = .000) and teachers' perception towards principals instructional leadership practices to Dimensions of Teaching and Management Environment Programme (β = –.219, p = .012). These factors explain 34.4% variance of teacher self-efficacy. Based on the findings, some suggestions to the school and the Ministry of Education were presented