Volume 10 | Issue 5 |

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Slow learners, Attitude, Awareness,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Educational Leadership, Socio-Economic Status, Effectiveness, Head, Teachers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

IoT is an important step toward the upcoming smart era. Most devices are connected to the internet nowadays. IoT utilizes sensor data and interconnected devices to transfer information from one device to another using internet. IoT has numerous advantages, but the only disadvantage is that all the connected devices should remain on all the time to give and sense the data, which over in all consumes lots of energy. Green IoT is the concept of saving energy using various green computing techniques in IoT devices. This paper introduces GreenIoT and explains the need for Green IoT in today's era. Moreover, this paper focuses on various applications of the Green IoT. It also provides the research path in the area of GreenIoT. Finally, it discusses open challenges in Green IoT with some of the solutions and research trends in the area.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Green IoT, Smart devices, IoT Devices, Green computing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Population, Environment, sustainability, resource, pollution, infrastructure, management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract This research looked at the impact of information and communication technology (ICT) on the performance of the Coca-Cola industry in Enugu as well as the role that organizational counseling might play in ensuring adequate growth in this period of global ICT revolution. A total of 260 employees from the Enugu Coca-Cola Industry participated in the survey. The study was conducted using a descriptive survey research approach. Respondents were drawn from the various units of the industry using purposeful random sampling. Pearson's moment correlation coefficient and simple linear regression statistical methods were used to evaluate three hypotheses. The study discovered that the availability of ICT infrastructure influenced Coca-Cola Industry Performance in Enugu positively, whereas inadequate ICT usage abilities and competencies of personnel influenced Coca-Cola Industry Performance in Enugu adversely. In addition, the Coca-Cola industry in Enugu's performance was significantly impacted by corporate customers' poor use of ICT. Based on the findings, this study suggests that organizations deploy appropriate ICT and use it effectively to gain a worldwide competitive edge, as effective ICT use has a significant impact on organizational performance. The study also suggested that the Coca-Cola industry in Enugu, Nigeria, form strategic alliances with other international industries in the areas of staff abilities and competencies in effective ICT use in order to gain new and practical knowledge on upgrading their technology, new programs, and new methods of production and delivery, as well as make effective use of organizational counseling and be open to embracing new emerging technological industrial innovations to increase their market share.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Counselling, impact, industry, Information, Communication, and Technology, and Performance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Image data captured from outdoor visual devices are usually degraded by some external factors such as fog, rainfall, snow, smoke and haze. Hence the weather condition plays a prominent role in disturbing the public transportation systems as well as some advance assistance systems which try to capture the data from outdoor cameras and then function the system.Hence in order to avoid this disruption of images from outdoor cameras, one should able to identify the weather situation and what are the possible factors that may cause due to current weather images.In primitive days there is no such automatic method which can identify the weather images and process those images and find out the possible factors related to that weather image. Hence this motivated me to develop this proposed model, in which we try to collect some weather images and apply image processing techniques and CNN model to identify the weather image and its possible outcomes in order to take preventive steps from deweathering operations (e.g., removals of haze, rain, or snow) would be correctly triggered accordingly. Here we try to collect some weather images from jehanbhathena/weather-dataset and then apply VGG-19 as best CNN model to train the application and our experimental and simulation results clearly state that our proposed system achieved nearly 96 % of accuracy compared with other primitive models and hence this proposed VGG-19 is best and accurate in order to predict the weather possibility from weather images.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN Model, VGG-19 Model, Weather Images, Image Processing, Public Transportation Systems, Assistance Systems.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Heart diseases are considered one of the most familiar causes of death worldwide. Early identification and medication can save a lot of people. There are multiple types of heart diseases that make it difficult to identify the type of disease that a patient is suffering with. Such data, whenever anticipated well ahead of time, can give significant instincts to specialists who can then adjust their conclusion and manage per patient premise. A machine must be developed such that it can identify the type of heart disease and update the machine itself by taking the experiences of the patients. (ML) can bring a compelling answer for navigation and precise forecasts. The clinical business is showing gigantic advancement in utilizing AI strategies. We work on foreseeing conceivable heart diseases in individuals utilizing Machine Learning calculations. This paper aims to build a model using multiple machine learning classifiers such as Logistic Regression (LR), Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) & Decision Tree. The model is able to implement hybrid classification by gaining weak and strong classifiers trained and tested on a dataset that contains multiple attributes and the efficient algorithm is considered the best. The decision tree performed best among the other algorithms with better accuracy and performance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Logistic Regression (LR), Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) , Decision Tree.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper focuses on modeling a technology that will be useful in the mechanization tunneling of subsoil. Tunneling has evolved from cave creation to water management, underground transit, mineral extraction, and warfare throughout history. During the 1950s, cutting and blasting methods were replaced by the most modern and complex automated digging using tunnel boring machines. Tunnel drilling machines are significant in boring through various soil and rock types, including clays, granular soils, severely fractured or monolithic rock layers, partially saturated or saturated ground, escarpments with high loads, and sensitive metropolitan areas with little overburden [1]. Tunnel boring equipment is now common in a wider range of geotechnical situations. An overview of tunneling using tunnel boring machines and their applicability for soft ground conditions is provided in this review study.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tunneling, Artificial Intelligence, Laser Beams, Subsurface soil, Geological Investigation, Excavation, Civil Engineering

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

SANTLAT KALIN BHARAT MEIN MAHILAO KI STHITI EK ADHYAYAN (AETIHASIK SANDARBH MEIN)

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SANTLAT KALIN BHARAT MEIN MAHILAO KI STHITI EK ADHYAYAN (AETIHASIK SANDARBH MEIN)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The first consideration that comes to mind when we talk feeding infants, is the newborn obviously take us to the natural ,god given gift to the mother , that of breast milk. As soon as the child born , natural prepares both , the mother the baby to make best of this natural gift.Soon after birth the mother starts secreting milk.Unfortunately lactation failure increases among child bearing female in India. A herbal medicine and some home remedies for example satavar,shakakul, singhada improves lactations

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lactation,Herbal Medicine,Feeding,Lactation failure,infections and protections style, styling, insert.

  License

Creative Commons Attribution 4.0 and The Open Definition