The current research proposes a conceptual model of the factors affecting the sharing of fake news targeting national security. In particular, this study aims to investigate the role of trust in the sharing of news sources. It also explores the role of a conspiracy mentality as well as exposure to social media and demographics variables (i.e., age, gender, educational level) in accepting and sharing fake news affecting national security. In order to fulfill its aims, the current research used a sequential mixed-method design, enabling the integration of quantitative and qualitative data during collection and analysis. For the quantitative phase, a survey was administered to 1,048 voluntary participants from Saudi Arabia. The qualitative phase involved two stages of interviews with a sub-sample of 40 Saudis who use social media. The current research obtained remarkable results regarding the role of essential variables in accepting and sharing fake news impacting national security.
The Internet of Things (IoTs) equipped sensor systems gather data from sensors and analyze it through billions of interconnected devices and smart motes. Due to purpose of deployment easiness and reduced operational cost, wireless sensors are embedded in the IoT networks. However, the issues related to ever increasing security threats and vulnerabilities of networks for various cyber-attacks have led to widespread research interest in this field. Few of the important concerns in wireless sensor networking systems are thrust for low-latency, seamless handoff, connectivity, resilience to vulnerabilities and trustworthiness. The mass scale penetration of IoT systems in society has resulted in an exhaustive data analysis of Edge Computing and Wireless Sensor networks such as security, interoperability, latency, robustness, maintainability, and scalability in real time scenarios. This research aims at providing recent status of protocols and standards in sensor based IoT edge computing networks as well as security threats and deep analysis of vulnerabilities in various daily life IoT applications. Also, the paper discusses the concept of connection redundancy to avoid latency or loss of data and provide seamless data worthiness. Finally, this study provides in-depth analysis of open issues and challenges for leveraging vulnerabilities in smart sensor based IoT systems and edge computing networks.
This paper proposes digital technology convergence to expand the current and future foodservice business practices of the food ordering and delivery landscape in South Korea. It briefly traces Korea's food delivery history back to the 13th century and how it grew exponentially. Over the years, it describes how technology innovations have boosted food ordering and delivery, influenced consumers' lifestyles, and provided business opportunities to delivery operators. Furthermore, convenience and current health concerns due to COVID-19 contribute to the growing food ordering and delivery trends. However, customers seek seamless connection, easy access, and multiple channels to order, pay and receive their food. While the food business sales growth is visible, some restaurants carry a burden due to the high commissions charged by food delivery app operators. The proposed Application Programming Interface (API) offers a solution to these issues. This API is a technological infrastructure for restaurant owners that would give them a choice when reaching out to repeat and prospective customers. API supports an omnichannel strategy that offers customers multiple ways to order food and have it delivered.
In many applications areas like banking, shopping, monitoring, health care, finance and education wireless sensor networks are used. Many traditional cryptography authentication schemes using one time passwords,biometric passwords,image embedded one time password are in usage for improving the throughput of system by restricting access of the resources by an unauthorized individuals during such online transactions. However, in the traditional cryptography methods with one time password generation failed due to the evolution of the high computing quantum computers. In this paper, we propose a method using super dense coding for enhancing the communication security. The proposed method uses no-cloning theorem and quantum wave collapse to generate a novel one time password called image quantum one time password for enhancing the security in quantum communications. Two trusted third party service providers are used in the proposed system. The user and the server select one of the trusted third party service providers that had the highest authenticating credentials over a period. In this paper we simulated the proposed method using the Simulaqron, a simulating protocol for the quantum sensor networks and the results showed that the proposed method is secured.
The telecommunication industry has been regarded as one of the Nigerian economy pillars, just behind the oil and agricultural industries. There is currently a paucity of data to define the extent of influence the telecommunication sector has had from its introduction to date. This study investigates the industry's impact in the 15 past years since the commencement of GSM network service providers' commercial operations on the economy and Nigerians. Our study relied upon primary qualitative data via in-depth interviews with 20 key stakeholders who have been active in the telecommunication and economic sectors throughout the period in review (2004-2019) and available secondary data. Results indicate that the telecommunication sector has contributed to around a-tenth of the country's Gross Domestic Product, providing millions of jobs directly and indirectly through the value chains. The telecommunication sector was also revealed to enhance the productivity of other sectors like Banking, Stock Exchange, Education, and Trade. It was concluded that the sector has the potential to make more significant impact in the coming years if there is increased investment and enhanced government commitment.
The research work consists of the implementation of a social network monitoring system that allows obtaining information in real-time from the population regarding vaccines and knowing their positive or negative opinion, this with the aim that public health professionals can take advantage of this information to develop communication strategies that resolve the doubts of the population, to increase the confidence of the people towards vaccines and achieve better vaccination rates in the vaccination programs carried out by the government. Currently, public health professionals are not very useful when communicating the benefits of vaccination to citizens, so many believe vaccines are unnecessary. The 34% of persons found to be unsafe and therefore would not be vaccinated. The use of a social media monitoring system allows knowing in real-time and geographical spaces the concerns of specific population sectors regarding vaccines. It helps the authorities establish more effective communication strategies that ensure a high level of confidence.
The goal of the study is analysis of residents' perception of environmental problems (destruction of the city's green zone, risk of cancer growth, etc.) caused by urban development projects. Data: the material for the study was the data of social media, blogs, messengers, forums, reviews, videos about construction of South-East highway in Moscow. Methods: the study involved a cross-disciplinary approach using neural network technologies. Findings: data analysis made it possible to identify and study environmental problems that arose at 5 stages of construction, to analyze the perception of residents based on digital content data. Application: the proposed methodology can be used in predictive analytics.
In this work, the desired radiation pattern is achieved by the use of thinning concept which reduces the side lobe level and first null radiation bandwidth of concentric circular array antenna. The objective of minimizing the number of elements of array to reduce the price has been optimized using evolutionary strategy. The proposed method is carried out using a self-adaptive strategy of mutation along with round and push to limit form and to transform the solution from real domain to binary domain. The proposed method has been applied over two ring concentric circular array. This approach of transformation has shown to be better as compared to conventional sigmoid function transform approach. The advantages have been shown by performance comparison against the firefly method. The suggested method has not only achieved superior design characteristics but also without fail there is a faster convergence.
Now a days, with the increasing number of people using smart phone their needs are also increasing day by day and as well the problems also. Among those problems in this system trying to resolve three problems in this work which are Vehicle theft, traffic monitoring and bus tracking system. Popular modern navigation systems currently on the market (Google Maps Navigation) do not support any features for identifying the current location of the bus. FM Radios are the only source which gives us the information about traffic. This system cannot assure that each and every person gets traffic updates through FM. As of now there is no high security for vehicles except Branded cars. The security measures include central locking system. In this proposed system user gets the information regarding arrival and departure time along with bus route number, current location to reach the required destination. In this system suggested to the user about the Traffic jam along with photographs from the particular signal so, that they can avoid that route and take an alternative route. When the vehicle is started confirmation message goes to owner and from the application itself he can control the operation of vehicle and the Photograph of person who is riding is captured and sent to the owner and he/she can monitor the location of the vehicle continuously along with voice alarm.
The purpose of the research is to find a robust and efficient model for plant disease detection. Therefore, the current study proposes an enhanced-DTC (Decision Tree Classifier) approach for high dimensional imbalanced dataset in plant disease diagnosis. In this approach, instead of just using traditional decision tree algorithm, its capabilities are enhanced with Random Over (RO) sampling method for class balancing and three well-known feature selection techniques, i.e., Consistency (Cons), Correlation-based Feature Selection (CFS), and Random Forest Importance (RFI) filter for dimensionality reduction. The proposed methodology aims to enhance the performance of the five most commonly used decision tree algorithms, namely, C4.5, Classification and Regression Tree (CART), Bagging CART (Bag-CART), Partial Decision Tree (PART-DT), and Boosted C5.0 (B-05.0). Results specify that the enhanced-DTC approach performs superior to the existing decision tree algorithms for the multiclass Soybean Large (SBL) dataset. It has been observed that the enhanced-DTC approach with both RFI and C4.5 method performed the best with an Accuracy (ACC) of 98.10% and Area Under Curve (AUC) of 97.79%. A real-time application of the proposed model can be used by the agricultural experts to take preventive measures in the most sensitive areas that are prone to a particular disease. Hence, timely intervention would help in reducing the loss in productivity of plants which will further benefit the global economy, agricultural production, and the food industry.
Pests and diseases can cause a variety of reactions in plants. In recent years, boxwood dieback has become one of the essential concerns of practitioners and natural resources managers in Iran. Dieback is one of the boxwood diseases whose symptoms include sudden and severe yellowing, browning, spotting, withering, or dying of leaves, stems, or the entire plant. To contain the dieback of boxwood spreadness, the early detection and disease distribution maps are required. Dieback of boxwood causes a range of changes in color, shape and leaf size to photosynthesis, transpiration. Through remote sensing techniques e.g. satellite image processing data, the variation of thermal and visual characteristics of the plant could be used to measure and illustrate the symptoms of the disease. In this study, five common vegetation indices, e.g. DVI, NDVI, SAVI, SR, and PHI, were extracted and calculated from Landsat 8 satellite image data from six regions in Gilan province, located in the northern part of Iran out of 150 maps over the 2014 - 2018 time period. It was turned out that among aforementioned indices, based upon the results of the models, SR and NDVI indices were more useful for disease spreadness, respectively. Our disease progression model fitting criteria showed that it this technique could be probably used to assess the extent of the affected areas and also the disease progress in investigated regions in the future.
Skin cancer and its early detection are very critical and crucial, also among humans it is one of the very dangerous form of cancer which is hurriedly spreading globally. While in the current era of technology mobile apps are getting more usage and attention among the users, where mobile based skin cancer detection systems are rarely found and mostly are paid applications. In this research, researchers proposed a real-time detection of skin cancer type: Benign Melanocytic Skin Lesion (BMSL) through android based mobile application, in which we have used ABCD features for feature extraction process and Convolutional Neural Network (CNN) for the classification accuracy purposes. In terms of results, the classification accuracy of 95% has been achieved in the training phase, while we are working on testing phase and results will be shown in our future research.
The digital age is the world in which we live today, which is about all those advanced devices around us and all that technology that we live in. To delve more deeply into the term digital world, which includes digital products such as digital books, digital services, websites, electronic articles available on the Internet and their various services. It also indicates the control of modern digital means over others in the field of communication, processing and exchange of information, and this era is characterized by several features due to the advantages of digital means, which are speed, accuracy, proximity, and elimination of borders. Diplomacy is not nascent, as its history extends to pre-Islamic times, but it was not organized as it is now. One of the indications of the aging of the diplomatic system is that the Prophet of Islam Muhammad (may God bless him and grant him peace) established for him what fit his era of diplomatic policies and moral values that preceded their counterpart in the digital age. In this research, I deal with diplomatic posts because of his dealings, may God bless him and grant him peace, with the ambassadors who were sent to him, and what he took into consideration when his ambassadors.
In recent years, investigating techniques for designing multi-user authenticated encryption for backup mechanisms in highly-secure environment were put forward. Existing security and identity-based communication protocols used in group key management to achieve confidentiality, integrity and authentication (CIA) mostly relay on ideal tokens issued to individual entities. Achieving hierarchical authenticated encryption, its verifiability is typically challenging task. To address such challenges, this paper proposes simultaneous congruence based scheme for group authentication where multiple user authentication is required to preserve sensitivity of data. The proposed scheme forms a group secret from multiple entities of the group and used as key ensure CIA features. Moreover, the ideology realized, analysis shows that the proposed scheme solves the key problem with the condition of minimum quorum and ensures authentication verifiability.
This paper shows how the elevator door control motor, the ceiling fan and the LED lamp inside the elevator cabin are powered by solar energy instead of conventional electricity through an integrated system. The integrated system includes a solar charge controller connected to maintain a steady voltage into the induction type door motor, lamp and fan and also the shields the system against overcharging and over-discharging. The system has been implemented for AC voltage by using an inverter. The output DC voltage of the charge controller converted to AC voltage through an Inverter. Another important aspect of the project is that, currently the overall weight of the passengers inside the elevator cabin used to determine the overload condition of an elevator. One of the main goals of this project is to emphasize the overall weight as well as the total number of passengers inside the cabin at a particular time in order to understand the overload condition. The research incorporates a cost review as well to show the economic advantages that can be gained through the implementation of such an integrated system in the real world.
The study investigated the effectiveness of Two-Dimensional Animation Technique in enhancing students' Motivation in Quantitative concepts of Economics. The design adopted for the study was Quasi-experimental non-equivalent pre-test, post-test control group design with a sample size of 162 SS II Economics students made up of 80 males and 82 females drawn from four co-educational secondary schools in Enugu metropolis, Enugu State. Purposive sampling was used to select the four co-educational secondary schools while simple random sampling was used to select the four intact classes from each of the four (4) Schools. Students Motivation in Quantitative Economics Learning scale (SMQELS) was used for data collection. The instrument was face validated and tested for reliability. The SMQELS was subjected to factor analysis and 17 items out of the 20 items survived. A reliability co-efficient of 0.80 was obtained using Cronbach Alpha. The temporal stability index of the instrument was found to be 0.87 using Pearson Product Moment Correlation. Data collected were analysed using mean and standard deviation to answer the research question while ANCOVA was used in testing the null hypothesis at 0.05 level of significance. The result showed that students taught quantitative concepts of Economics with two-dimensional animation technique had significantly higher post-test mean motivation score than those exposed to conventional method. Thus, 2D animation technique proved to be significantly effective in enhancing students' motivation in quantitative contents of economics. It was recommended among others that two-dimensional animation technique should be used in teaching economics in secondary schools.
Automatic Recognition of horticultural items is a difficult issue that has gotten a lot of consideration during behind years because of its frequent applications in a variety of fields. Fruit Recognition is one of those difficult issues and cutting-edge, there is no strategy that gives a hearty answer for all conditions and various applications. Recognition of natural products is a regular assignment in goods, organic product fare, and import enterprises. Robotizing this system is significant in a wide extent of employments including Human Machine Interfaces(HMI) and programmed way in control structures. The recognition and classification of fruits is a key factor in harvesting operations. In this paper, a Fruit Recognition and Classification System were developed. It consists of two sections, training model of the neural network which helps to build a large database of fruit pictures and the second is called recall mode where the unknown fruit image is given to the system. Now the system will compare with the samples from the database, it also verifies the colour and texture features of the fruit. The artificial neural network are simulated in MATLAB will identify the unknown fruit which completes the process. Hence the combination of all these techniques will form a computer vision-based fruit recognition and classification system. This framework likewise fills in as a valuable apparatus in an assortment of fields, for example, business, agrarian instructive, picture recovery, and plantation science.
As days are passing, the number of diseases spreading across the people is getting increased in number and the growth of technology also increasing in parallel across the world. It is becoming a problem to reach the advanced medical facilities or the medical treatment to the people staying in interior places or rural places. By the utilization of these recent technology developments, the doctors can suggest or can guide the patients to follow the precautionary or the medical treatment processes from remote places to the interior places. The doctors can suggest the treatment to the patients located anywhere in the world only by using their internet-based applications and devices. The devices placed at various locations will collect the data from time to time and based on that data collected, the data will be analyzed, and the doctors can suggest the appropriate treatment on time to time basis. This facility was occurred and provided by the newly developed and developing technologies like the Internet of Things. With the development of this technology, the utilization of wireless devices and sensor devices at various locations had increased a lot, and it also helped the researchers to collect the data from various locations where a human being cannot go and collect the data. As a result, the doctors or the researchers can suggest the right treatment or some accurate solutions to the problems that might be arising at various locations around the world. The devices used herein these models are the sensors which collect the data and can be processed and used later on. The utilization of such devices in medical applications had increased a lot. In the current article, an attempt had made to present some of the medical applications where these Internet of Things based devices are being used and how they can help to identify the disease symptoms and at the same time the appropriate suggestion of providing a solution to such diseases or viruses.
As we all know that the electricity making is such a difficult target for any government to make it cheaper with high quality this innovation helps us to generate much more electricity for free of cost by implement such great innovation. This innovation that is revolving door produces energy by human energy that is produced by human during walked through the door. as people use the door the respected gears connected to the central axis of door revolve due to the gear ratio the rotation given to the door has increased which is applied to the motor shaft. This electricity generating equipment called electricity generation from revolving door. The main purpose to design low cost revolving door energy generation is to fulfill the need of electricity and also make it profitable. Also, we have to design this model for those people which should bare the load shedding of more than 6 hours a day. our main sustainable development goal is to make affordable energy and make it profitable. According to the research this project should generate electricity approximately 228 watt per day if 4000 people pass that door the generation of electricity is depends on all usage of the door.
The simplified and accurate analysis of in-line fiber filter is occurred by derive an easy theoritical formula for the refractive index of silica doped either GeO2, P2O5, F or B2O3 as a function of both the wavelength and the dopant ratio. At a specific filter cutoff wavelength (of either high pass filter, HPF, or low pass filter, LPF), the calculations of the dopant ratios of a two pairs materials (GeO2 and P2O5) and (F and B2O3) are done.Two in-line fiber filters (HPF and LPF) are cascaded to make a bandpass filter. These simplified formulas are applied for 8-channels demultiplexers. The accuracy of these simplified relations are very good agreement if it is compared with the original relations.
