How CRM softwares (salesforce) are changing our economy and what to improve in the future
Customer relationship management, or CRM (salesforce), refers to any business growth, customer retention, and customer strategies, methods, systems, and technologies that enhance customer interactions, encourage client retention and boost a company's sales. The goal of the current research was to determine how CRM (Salesforce) software affected US economic growth, job creation, and revenue production in various industries. The information was gathered from previously released journal publications. According to the study's results, CRM (Salesforce) significantly improved the economies of firms employing it globally and in the US in particular. The results show that CRM (Salesforce) has a significant impact on the creation of jobs and the production of revenue in the US. CRM (Salesforce) resulted in the creation of 1486900 jobs in the US in 2020, 1728100 in 2021, 2024500 in 2022, 2271600 in 2023, 2495700 in 2024, and 2721300 in 2025. (2928700). According to similar data, CRM adoption in the United States will generate $120.20 million in 2020. (salesforce). Through the usage of CRM, a revenue of $144.90 million was made in 2021, while revenue of $173.10 million was generated in the US in 2022. (salesforce). According to the forecasted figures, the US would produce $197.30 million in 2023, $212.20 million in 2024, $723.70 million in 2025, and $279.50 million in 2026 via the usage of CRM (Salesforce). Additionally, this study found that Salesforce generates 78.7 billion dollars and 2.75 million jobs across a variety of industries, including 88.76 billion dollars and 1.1671 million jobs in wholesale, 154.2 billion dollars and 1.6073 million jobs in manufacturing, 13.1 billion dollars and 0.4802 million jobs in health and life sciences, 17.05 billion dollars and 0.6228 million jobs in government, 142.52 billion dollars and 1.6701 million jobs in finance, and 87.76 billion dollars and 1.0204 million jobs in finance. This research suggests that in order to enhance their survival rates and provide the most advantages, businesses in the domains of education, media, and the military must adopt CRM (Salesforce) to manage their operations. Salesforce CRM should tighten data security and limit access to personal data to the bare minimum.
Published by: Ramsharan Nepal
Author: Ramsharan Nepal
Paper ID: V9I1-1139
Paper Status: published
Published: January 14, 2023
IoT and enabling technologies for precision agriculture
IoT has rapidly changed the growth of every field. IoT refers to network of objects or Things that are connected to internet for making interaction with each other. Things always refer IoT devices, Home appliances and everyday objects which have unique identity. These Things are able to do remote sensing, monitoring and controlling capabilities. These objects have various interfaces for sensor connectivity, internet connectivity and storage. IoT is a predominant technology that automates the traditional activities of each and every filed. It is an umbrella technology that includes various technologies for its effective implementation. The objective of this paper is to present an overview of IoT and its various enabling technologies for an implementation of IoT in traditional agriculture. IoT technologies are broadly classified in to three major categories. They are IoT software, IoT Hardware, IoT Connectivity. IoT technology adaption will perform drastic changes in traditional agriculture. Precision Agriculture using IoT helps farmers to predict the exact requirement of water, fertilizer and pesticides that are directly related to the growth of the crops. Precision Agriculture also helps to predict the climate change, soil nutrition, plant growth and plant disease for enhancing the productivity and profit. Precision Agriculture is suitable for Indian Agriculture to optimize the scared agricultural resources for obtaining high yield. Precision Agriculture uses various sensors such as Temperature, Humidity, Pressure, Soil Moisture and Light intensity for gathering parameters directly from the farm land. These parameters are sent to the cloud database through local gateway for further processing. The collected data are analyzed in the cloud database for taking predictive decision. Precision Agriculture insists the farmers to react quickly for optimizing the scared natural resources, monitoring their plant growth, quality and diseases for achieving high yield and profit.
Published by: Sethuramalingam S., Dr S. Arumuga Perumal
Author: Sethuramalingam S.
Paper ID: V8I5-1295
Paper Status: published
Published: January 4, 2023
Smart Helmet Data Streaming
The world is progressing towards modernity and people are becoming smarter. Today, the impact of technology in our lives is immeasurable and one of the greatest examples of modern technology is Smart Helmet Data Streaming which could be the light at the end of the tunnel. A smart helmet is a type of protective headgear used by the user(worker) which not only protects the user but also has certain smart functionalities like recording a video. The main purpose of this helmet is to provide video surveillance. This can be implemented by using ESP32-CAM and Arduino which can be streamed on a website. This makes it a smart helmet. ESP32-CAM comes with an OV2640 camera and provides an onboard TF card slot. The ESP32-CAM can be widely used in intelligent IoT applications such as wireless video monitoring, Wi-Fi image upload, QR identification, and so on. Which can be used widely for detecting crime, monitoring scenarios and activities, gathering evidence, arriving at the right decisions and maintaining records. Critical surgeries require to be broadcasted to a wider staff and students as a means for engaging, real-time learning. Live streaming can deliver high quality video from the OR to various users and devices. The literature survey done for the same is mentioned in further parts of the report. Around 7 IEEE papers have been referred to for the study and framing of the problem statement. Loopholes amongst the papers or future work mentioned in them provisioned the project with gap identification and thus trying to resolve the same.
Published by: Dr. Rahul Pol, Pranali Sapte, Niraj Indani, Akanksha Shinde, Rahil Khan
Author: Dr. Rahul Pol
Paper ID: V8I5-1277
Paper Status: published
Published: January 4, 2023
Next Generation Risk Stratification of ICU Patients using Machine Learning
Personalized Remote patient monitoring in the intensive care unit (ICU) is a critical observation and assessment duty required for precision medicine. We recently developed a cloud-based intelligent. We use a remote patient monitoring (IRPM) architecture that is state-of-the-art in risk classification. The most accurate prediction is made using machine learning, but with few characteristics that rely on vital indicators. Physiological characteristics gathered within and outside of hospitals are widely employed. We made a big contribution in this effort. enhance the basic IRPM framework's capability by developing three machine learning models for Measurements of readmission, abnormalities, and next-day vital signs We give a formally represented version of a feature engineering algorithm, as well as the construction and validation of three replicable machine learning algorithms ICU patient readmission, anomaly, and next-day vitals prediction models.
Published by: Likitha Reddy Ganta, Varshitha Obili, S. C. Asma Afrin, Rahul Gajula, T. Vishnu Vardhan Reddy, T. N. Ranganatham
Author: Likitha Reddy Ganta
Paper ID: V8I5-1287
Paper Status: published
Published: January 3, 2023
Social expectation and role dilemma: The challenges on women’s health
ROLE CONFLICT AND WORK STRESS: IMPACT ON WOMEN’S HEALTH The realm of health takes fundamental concern in women’s life, which alter and may be altered by social themes. The domain of health embodies the entire range of issues related to illness, sickness, well-being, preventing, diagnosing, healing, caring, and curing. The health status of women in a society is the index standard, determining social progress. Working women experience greater ‘inter–role’ overload and conflict than either men or non-working women. Much of the household and productive tasks performed by women in India remain unaccounted for due to socio-biological factors. Women do a lot of ‘unpaid’ ‘free’ work at home as per ‘normal’, ‘natural’, and ‘traditional’ social expectations. There is convincing evidence that working women suffer from regular headaches and depression due to the stress of balancing multiple roles. Many potential women of high caliber suppress themselves from career advancement for the sake of a peaceful, stressless family life, considering service to the husband as the fundamental obligation of a woman’s life. Women’s responsibility as ‘providers’ or ‘care giver’ is central at home. While discharging their duties at home as per the expectations of others, woman mostly forgets to take care of themselves. The job ‘outside’, determines her ‘public life and the job ‘inside’ determines her ‘private’ life, working women encounter the ‘dual role dilemma’ This paper opens a window towards women’s ‘ill health’ due to the ‘intrinsic’ and ‘extrinsic’ ‘multiple-role’ conflict
Published by: Dr. Beena Rani B. R.
Author: Dr. Beena Rani B. R.
Paper ID: V8I5-1285
Paper Status: published
Published: December 30, 2022
Solar Base Distributed Generation in the electrical distributed network using PSO and genetic algorithm with Ant Colony Optimization
Energy plays a vital role for all humans as it can neither be created nor destroyed but can move/transform from one place to another. Modern living has realized the increased importance of energy as life moves faster; there is a significant need for fast communication, fast transport, and manufacturing processes. So, the energy industry forms one of the biggest consumer markets . The use of electric power system requires an alternative generation because of its great demand by the consumers. The electricity cost is calculated based on different proportions such as 50% for fuel consumption, 25% for distribution, 20% for generation, and 5% for transmission, which has created an alert to use or generate alternative power resources. For the distribution levels, the ratio of reactance to resistance (X/R) is low compared to transmission levels, which has resulted in high power losses and voltage magnitude reduced along with the distribution (radial) lines. The distribution systems must provide energy/electricity to each consumer at an appropriate form of voltage rating. The modern forms of power are involved, with multiple load centers and generating stations interconnected through the transmission and distribution networks. The energy-based power system's main Objective is energy generation and to deliver the energy/power to its customers at its rated voltage-based value with minimum losses. In heavy loading conditions, the reactive form of power flow is the primary cause of failures, reducing voltage levels simultaneously. So, there is a significant need to minimize real losses of power and improve Voltage in distribution systems. In such cases, a variation occurs in the network configuration, usually varying by the operation based on switching meant for transferring the load among the feeders. There are two switches used in distribution systems; one is generally a closed switch that usually connects two line-based sections. The other is the normally open switch placed on tie lines connecting two of the area's primary feeders.
Published by: Rajinder Kumar, Dr. Anand Mohan
Author: Rajinder Kumar
Paper ID: V8I5-1278
Paper Status: published
Published: December 27, 2022
