Seyyed Esmaeil Najafi; Dragan Marinkovic; Nenad Komazec
Abstract
This study investigates how the current academic literature discusses Wireless Sensor Network (WSN) applications in agriculture. The WSN is widely used to build decision support systems to overcome many problems in the real world. Using the basic principles of Internet and WSN technology, precision agriculture ...
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This study investigates how the current academic literature discusses Wireless Sensor Network (WSN) applications in agriculture. The WSN is widely used to build decision support systems to overcome many problems in the real world. Using the basic principles of Internet and WSN technology, precision agriculture systems based on the Internet of Things (IoT) technology are explained in detail, especially on the hardware architecture, network architecture, and software process control of the precision agriculture system. The software monitors data from the wireless sensors, but implementing a WSN will optimize the usage of water fertilizers and maximize crop yield. Nowadays, the climatic conditions are not the same and predictable. There are many ways to cultivate healthy crops in a year. But it requires a lot of human resources, which is a burden nowadays. We are designing a WSN for smart agriculture to make it smart and straightforward and give correct input to the corp.
Soheil Azizi Borojerdi; Reza Rasinojehdehi; Seyed Esmaeil Najafi
Abstract
This study, conducted in Iran's pharmaceutical industry, investigates the development of cost-effectiveness capabilities, a vital component of operational capabilities. It presents five essential hypotheses contributing to these capabilities. Capable human resources, especially in crisis management related ...
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This study, conducted in Iran's pharmaceutical industry, investigates the development of cost-effectiveness capabilities, a vital component of operational capabilities. It presents five essential hypotheses contributing to these capabilities. Capable human resources, especially in crisis management related to environmental obstacles like international sanctions, foster creativity and cost-effectiveness. Hardware and software infrastructure supports international collaborations, enhancing overall quality. Documentation, organizational knowledge, and capacity enhancement further contribute to cost-effectiveness capabilities. Effective operations management, standardized routines, and the emergence of new routines stimulate creativity and cost reduction. This research offers insights into the formation of cost-effectiveness capabilities and underscores the significance of internal resources, collaborations, and efficient management practices. While focused on Iran's pharmaceutical sector, the proposed model can serve as a valuable framework for studying influencing factors on cost-effectiveness capabilities in other industries and countries.
Reza Rasinojehdehi; Seyyed Esmaeil Najafi
Abstract
Network security is paramount in safeguarding the integrity of computer networks and the data they host. The primary objective of network security is to protect data from cyber-attacks and ensure the overall reliability of the network. A robust network security strategy deploys various solutions to shield ...
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Network security is paramount in safeguarding the integrity of computer networks and the data they host. The primary objective of network security is to protect data from cyber-attacks and ensure the overall reliability of the network. A robust network security strategy deploys various solutions to shield data within networks, safeguarding both users and organizations from potential threats. This paper introduces a novel approach to evaluating computer network security using Data Envelopment Analysis (DEA), a mathematical method designed to measure the performance of Decision-Making Units (DMUs) employing identical inputs to yield identical outputs. We present a practical application of DEA to assess the security of 10 distinct networks, treating them as DMUs. The resulting performance measurements allow us to classify computer network security into four levels: "terribly insecure," "insecure," "safe," and "very safe. To optimize the discriminating power of DEA, we employ Principal Component Analysis (PCA) to reduce the number of inputs and outputs. It not only enhances the precision of our evaluation but also ensures that the number of DMUs remains well-suited to the analysis. As a rule of thumb, the number of DMUs should be at least three times larger than the sum of the numbers of inputs and outputs to maintain DEA's discriminating power. Through the combined application of DEA and PCA, this research contributes a comprehensive and efficient method for evaluating and classifying computer network security, providing valuable insights for enhancing overall network resilience against cyber threats.
