International Journal of Research in Science & Engineering (IJRISE) ISSN: 2394-8299
https://hmjournals.com/journal/index.php/IJRISE
<p><strong>International Journal of Research In Science & Engineering (IJRISE)</strong> <strong>having</strong> <strong>E-ISSN: 2394-8299 P-ISSN: 2394-8280</strong> is Double Blind Peer reviewed, open access, online international journal published bimonthly. IJRISE is an international forum for scientists and engineers in all aspects of science and engineering publishing high quality papers. Papers of original research and innovatory applications from all parts of the world are welcome. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. </p>HM Publishersen-USInternational Journal of Research in Science & Engineering (IJRISE) ISSN: 2394-82992394-8299Utilization of Artificial Neural Network in Rice Plant Disease Classification Using Leaf Image
https://hmjournals.com/journal/index.php/IJRISE/article/view/3557
<p>Rice is the name of the type of plant that is needed by humans in the world. The plant is used as the main source of energy by Most people in the world, especially on the Asian continent. The importance of rice plants makes rice widely planted in various regions. Most humans use rice as a staple crop. Therefore, rice production needs to be considered to meet the need for enough food for most people in the world. The main thing that needs to be considered in maximizing rice production is that when guarding rice plants, many factors that inhibit rice plants can be the cause of food crises in various regions. Therefore, the care of rice production needs to be considered. In addition to the lack of nutrients in water and soil in decreasing rice production, plant diseases also need to be considered. Some types of diseases that often attack rice plants include bacterial leaf blight, brown spots, and left smut. Therefore, there is knowledge of prevention efforts or early treatment before the disease attacks rice plants more widely. The efficacy of technology can be used in solving this problem, we can take advantage of artificial intelligence in it. Artificial intelligence is implemented for the detection of types of diseases in rice plants using image images on the leaves of rice plants. If the disease in rice plants can be detected, it will make it easier for rice plant farmers to overcome the disease. The ANN (Artificial neural network) algorithm can be used in this problem from the results of research on identifying the type of rice disease using the algorithm obtained an accuracy of 83%. This shows the ability of artificial intelligence in disease identification can help farmers detect types of diseases.</p>Nandi SunandarJoko Sutopo
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2024-02-012024-02-0140211010.55529/ijrise.42.1.10Improved Digital Security Applications for Smart Card
https://hmjournals.com/journal/index.php/IJRISE/article/view/3558
<p>With the rapid expansion of wireless networks and mobile computing applications, the quality of service (QoS) of mobile ad hoc networks (MANETs) has garnered growing attention. Ensuring QoS in a MANET system requires careful consideration of security issues. Attacks on a QoS distortion system without the protection of a security mechanism might result in subpar QoS performance, interference with resource use, or even failure of QoS provisioning. Traditional security measures cannot be applied because to the characteristics of MANET, which include limited processing and communication power and diversity of static topology. As a result, new security technologies are unavoidable. Nevertheless, not much research has been done on this subject. QoS and MANET system security are covered in this article. Consequently, the goal of this research is to create techniques for routinely evaluating security design reviews in order to make sure that all vulnerabilities, including security vulnerabilities, have been found, fixed, and their cause explained. Determine the system's fundamental security and protection needs by analyzing and determining its requirements. We create a network model using GloMoSim, specify node locations, communication features, and technology, and see if there are any vulnerabilities that could pose a security risk.</p>Aseel Nadhum Kadhum
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2024-02-012024-02-01402111810.55529/ijrise.42.11.18Content Based Recommendation System on Netflix Data
https://hmjournals.com/journal/index.php/IJRISE/article/view/3574
<p>After pandemic, OTT platforms are the most common platform to provide entertainment to users. Among all platforms, Netflix has become most the popular one. Data visualization of Netflix data can provide valuable insights and benefits in many ways like understanding viewer preferences, content optimization, personalized recommendation, quality and content performance evaluation, fraud detection to name a few. This research provides exploratory data visualization and provide a content based recommendation system on Netflix data as in real world applications, company uses these recommendation system algorithms to determine which system are better to improve users’ engagement of the platform.</p>Dr. Deepti Sharma Dr. Deepshikha AggarwalDr. Archana B. Saxena
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2024-02-012024-02-01402192610.55529/ijrise.42.19.26Crop Canopy: Empowering Crop Resilience with IoT Driven Rain Shed Solution
https://hmjournals.com/journal/index.php/IJRISE/article/view/3585
<p>India is known for its farming, which has been crucial for its economy. But recently, farming hasn't been doing as well because of unpredictable rain. When the monsoon doesn't behave as expected, it can seriously damage crops, causing farmers to lose a lot of their produce. Unseasonal rains can have significant effects on Post-Harvesting Activities and the quality of harvested agricultural products such as fruit and vegetable crops during different stages of growth and harvesting. Post-harvesting steps are crucial to preserving the quality and ensuring the safety of the harvested products before they reach consumers. After harvesting, drying the crops is essential for storing grains. However, around 70% of farmers use the old method of sun-drying, which becomes a problem when unexpected rain falls. Sometimes, farmers even get hurt or lose their crops due to thunderstorms and lightning. To mitigate these challenges and losses, we have proposed a project aimed at providing an innovative, cost-effective solution: a proper Automated Rain Shed System, which opens and closes to protect crops or plants from unwanted rains and enables remote monitoring of Automated Rain Shed Operations.</p>Kokkula YashmiAlugani HarshithaDondeti SumagnaEppala Rukshitha
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2024-02-012024-02-01402273910.55529/ijrise.42.27.39Energy Conservation for Mobile Cellular Systems through Site Optimization (Base Transceivers Station Optimization)
https://hmjournals.com/journal/index.php/IJRISE/article/view/3594
<p>Mobile communication systems have cemented their position as a vital and practical tool for communication that supports productive corporate operations. The energy use of wireless access networks has grown to be a significant economic and environmental problem, the potential for utilizing the conserved energy was highlighted along with techniques that may boost energy efficiency in this paper's investigation of the energy consumption of base transceivers stations (BTS). Analysis of the data reveals that by optimizing 60 BTSs, the energy consumption decreases by 36.83% with 127.4MWh of monthly reserve. This is equivalent to powering 35 additional BTSs with a demand of 3.64224MWh or 69 homes for a daily power supply of 10 hours with a demand of 1.8452MWh and 440 homes with a total demand of 289.8KWh.</p>Basim Abdulkareem Farhan
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2024-02-012024-02-01402404910.55529/ijrise.42.40.49