The guiding principles of democracy are free elections. Through elections, people reaffirm their voice, their beliefs, and select someone whose ideas support them most. Voters will elect their representatives via elections. The purpose of the elections is not only to decide the outcome but also to give the winners credence, also for those voters who did not bother to vote for them. The need to hold free, equal, and secret elections is emphasized here. It involves the supervision of elections by free, accountable, impartial and autonomous electoral bodies. As the phrase is ‘today teens, tomorrow’s citizens,’ the student community needs the process of elections to be involved, trained, and acquainted with. Under this respect, the institutions of higher education hold elections in the form of general elections to the Office of the student councils. By this student will receive first-hand information about filing nomination, scrutiny of papers, withdrawing, canvassing, addressing, and most importantly voting. The use of technology in voting will make it easier, more effective, and less prone to breaches of security. Technology will boost and speed up the safety of all votes and make the counting and automated verification much more effective. The design of an advanced voting system is a difficult task as many main requirements have to be met. The secrecy of a poll should be maintained. No proof of which candidate gets particular voting shall be provided by the voting system. The authors implemented the Authenticated Voting Machine in the College elections in this paper to ease the process and improve transparency. The concept is still in its infancy and requires more research to keep it stable and theoretically strong. To ensure protection, the model uses radiofrequency and fingerprint recognition.
Technology innovation has made life easy for human beings. Technology is being used everywhere. This also extends to the healthcare sector. The healthcare sector produces a large amount of data each minute. Because of privacy issues, much of the data generated is not used and is not publicly accessible. Healthcare data comes from diverse sources hence it will be always varied in nature. Keeping track of such data has become much easier these days. Predictive analysis in healthcare is an emerging technology that identifies the person with poor health where the risks of developing chronic conditions are more likely and provide better solutions in the field of healthcare. Statistical methods and algorithms can be used to predict the disease before the actual symptoms are revealed in humans. By using data analytics algorithms one can easily predict chronic diseases such as obesity, high/low Blood Pressure, diabetes, asthma, cardiopulmonary disorders. Because of an unhealthy diet, lack of proper exercise, stress, consumption of tobacco, alcohol, etc. chronic diseases are most common these days. If the symptoms of chronic diseases are detected in the early stages, there will be less risk of hospitalization by cost-effectively maintaining better health. Big data analysis and health care can be mixed to produce accurate results. The application of predictive analytics in healthcare is highlighted in this paper. It provides a broader analysis in the prevention of different chronic diseases by using predictive analytics. The paper also includes various issues that arise when handling health care data. For each chronic disease, diverse models, techniques, and algorithms are used for predicting and analyzing. The paper comprises a conceptual model that integrates the prediction of most common chronic diseases
Elections are the backbone of democracy. It is through elections that individuals assert their voice, their perspectives, and choose a person whose philosophies most complement them. Elections allow citizens to choose their representatives. They are also important for the people to express their resentment at the ruling government. When there is high voter participation, the election process is considered successful. Unfortunately, developing countries such as India are facing a decline in the turnout. People in rural areas move to metropolitan cities or other countries, in most developing countries to make their livelihood or schooling. During elections, visiting their hometown and casting their votes becomes burdensome for them because of their commitment to their workplace. Challenges in moving to poll places and sometimes adverse weather conditions, cause people to miss the chance to choose the candidate of their choice. People with disabilities and senior citizens also refuse to go to the polling station due to travel-related difficulty. Therefore, many elections record only 50-70 percent electoral turnout, sometimes, even less than 50%. Only when all eligible voters are granted fair opportunities to exercise their franchise then only such a democratic system is considered fool proof. The need for the hour is such a fool proof framework that enables all eligible voters to cast their vote by visiting Polling Station or doing so remotely. This paper proposes a conceptual framework for the Integrated, Smart, and Secure Remote Public Voting System (SSRPVS) that allows voters from any part of India to exercise their franchise without moving place to place and wasting time and money. To develop the Framework, emerging technologies such as IoT, Cloud Computing, Edge Computing, Blockchain, and Data Analytics are included. The system will guarantee security through four different levels, Smart Voting Card based on RFID, One Time Password, Thumb Recognition, and Retina Recognition. The only theoretical model of the system that is open for further analysis and development is provided here.
Internet of Thing (IoT) has influenced several fields these days. Healthcare is one among them. The field of health care has been changed forever with the help of smart devices, wearable along with the overall level of inventions and connectivity in terms of the modern medical equipment. IoT, Cloud computing and other emerging technologies use data from different devices distributed across the network. Among those applications that are facilitated by the IoT, applications related to health care are most significant ones. Predictive analysis is carried out on the real-time data of patients to analyze their current situation for the purpose of effective and accurate clinical-decision making. Generally, internet of thing has been extensively utilized for interconnecting the advanced medical resource as well as for providing effective and smart health care services to the people. In order to monitor the condition of the patient, advanced sensors can be embedded or worn within the patient’s body. The data accumulated to such an extent that those data can be examined, aggregated as well as mined to do the initial predictions of diseases. Moreover, physicians are assisted by the processing algorithm for the personalization of treatment and at the same time thereby making the field of heath care more economical. This literature review is carried out by using the secondary data obtained from peer-reviewed journals and other sources on the web. This review aims to explain the use of IoT for providing smart healthcare solutions. The limitation of this study is that the major focus is on application side there by excluding the hardware and theoretical aspects related to the subject.
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