Ayurvedic Plant Identification using Image Processing and Artificial Intelligence

Wireless networks provide small sensing, machine and wireless networking nodes. Different designs and implementation techniques were built based on the device requirements for wireless network sensors (WSN). Sensor networks are used in various applications, such as environmental monitoring, home automation, military applications, etc. In this study introduce an architectural survey and deployment of nodes in the Wi-Fi Sensor network in this article. The environmental features that can be added to the sensor networks are given. The program relies on the node installed in the WSN and is deterministic or random. But the biggest issue in both cases is the coverage of the region involved. Researcher also describe WSN routing protocols. In this paper, a new technique to deployment problem is proposed based on the artificial bee colony (ABC) algorithm which is enhanced for the deployment of sensor networks to gain better performance by trying to increase the coverage area of the network and energy consumption. The good performance of the proposed EABC algorithm shows that it can be utilized in the deployment of WSN.

Retroactive Corporate Identity

<p>Corporate identity and corporate architecture are two vital parts of a corporation that co-exist to express goals and values. However, due to an unsynchronised relationship there is a lack of synergy between corporate identity and corporate architecture. A review of corporate identity history, strategies, tools and methods, and chronological interpretations of corporate architecture found that there is a lack of systematic approaches to translate and implement corporate identity to corporate architecture. Fisher & Paykel Appliances’ corporate identity was translated and implemented to 215 Lambton Quay, Wellington through a design case study. This translation and implementation to existing corporate architecture showed that a systematic approach to address lack of synergy was possible through the use of an architectural mission statement and five implementation techniques. Furthermore, translation and implementation shall be treated as a system and not a step-by-step approach, therefore allowing any further research to adapt to the context of the corporate identity and corporate architecture ensuring a synergetic relationship.</p>

Retroactive Corporate Identity

<p>Corporate identity and corporate architecture are two vital parts of a corporation that co-exist to express goals and values. However, due to an unsynchronised relationship there is a lack of synergy between corporate identity and corporate architecture. A review of corporate identity history, strategies, tools and methods, and chronological interpretations of corporate architecture found that there is a lack of systematic approaches to translate and implement corporate identity to corporate architecture. Fisher & Paykel Appliances’ corporate identity was translated and implemented to 215 Lambton Quay, Wellington through a design case study. This translation and implementation to existing corporate architecture showed that a systematic approach to address lack of synergy was possible through the use of an architectural mission statement and five implementation techniques. Furthermore, translation and implementation shall be treated as a system and not a step-by-step approach, therefore allowing any further research to adapt to the context of the corporate identity and corporate architecture ensuring a synergetic relationship.</p>

Object detection and used car price predicting analysis system (ucpas) using machine learning technique

The highly interesting research area that noticed in the last few years is object detection and find out the prediction based on the features that can be benefited to consumers and the industry. In this paper, we understand the concept of object detection like the car detection, to look into the price of a second-hand car using automatic machine learning methods. We also understand the concept of object detection categories. Nowadays, the most challenging task is to determine what is the listed price of a used car on the market, Possibility of various factors that can drive a used car price. The main objective of this paper is to develop machine learning models which make it possible to accurately predict the price of a second-hand car according to its parameter or characteristics. In this paper, implementation techniques and evaluation methods are used on a Car dataset consisting of the selling prices of various models of car across different cities of India. The outcome of this experiment shows that clustering with linear regression and Random Forest model yield the best accuracy outcome. The machine learning model produces a satisfactory result within a short duration of time compared to the aforementioned self.

Articulation of Facade Graphics and Techniques of its Implementation

The article deals with issues at the boundary of architecture and technology, related to visual articulation. The facade graphics is a relatively new phenomenon that has arisen over the last two decades. Some of the image implementation techniques it uses have been known for a long time. Some of them are derived from stained glass (e.g. the technique of manual enamel application), some are related to the already known techniques of workshop graphics (screen printing). One of the latest technological achievements is the development of digital printing technology. Each of the aforementioned techniques has specific artistic possibilities and means of expression, which influences the articulation of the image in the external partition and has a significant impact on a number of compositional aspects. The image placed in the façade supports the building's form, underlining its shape, emphasizing important places in the building. The work examines the relationship between the applied techniques of implementation and the properties of the image on glass. An important part is to determine to what extent the construction of the image and the applied plastic measures affect the visual range of the glass partition and the functional properties. Particularly interesting projects are those made with several techniques, and those in which a new technique was discovered, which is later copied in other projects. The research can make a strong case for using artistic glass in the facade of a building and provide guidance for designers and investors. The publication will present examples of implementations placed in the facade of the building. The phenomenon will be investigated on the basis of buildings constructed over the last two decades. Due to the global nature of plastic phenomena, there is no limited research territory.

Enhanced Artificial Bee Colony method for node deployment and routing in Wireless Sensor Networks

Wireless networks provide small sensing, machine and wireless networking nodes. Different designs and implementation techniques were built based on the device requirements for wireless network sensors (WSN). Sensor networks are used in various applications, such as environmental monitoring, home automation, military applications, etc. In this study introduce an architectural survey and deployment of nodes in the Wi-Fi Sensor network in this article. The environmental features that can be added to the sensor networks are given. The program relies on the node installed in the WSN and is deterministic or random. But the biggest issue in both cases is the coverage of the region involved. Researcher also describe WSN routing protocols. In this paper, a new technique to deployment problem is proposed based on the artificial bee colony (ABC) algorithm which is enhanced for the deployment of sensor networks to gain better performance by trying to increase the coverage area of the network and energy consumption. The good performance of the proposed EABC algorithm shows that it can be utilized in the deployment of WSN.

Effects of intracorneal ring segments implementation technique and design on corneal biomechanics and keratometry in a personalized computational analysis

The implementation of intracorneal ring segments (ICRS) is one of the successfully applied refractive operations for the treatment of keratoconus (kc) progression. The different selection of ICRS types along with the surgical implementation techniques can significantly affect surgical outcomes. Thus, this study aimed to investigate the influence of ICRS implementation techniques and design on the postoperative biomechanical state and keratometry results. The clinical data of three patients with different stages and patterns of keratoconus were assessed to develop a three-dimensional (3D) patient-specific finite-element model (FEM) of the keratoconic cornea. For each patient, the exact surgery procedure definitions were interpreted in the step-by-step FEM. Then, seven surgical scenarios, including different ICRS designs (complete and incomplete segment), with two surgical implementation methods (tunnel incision and lamellar pocket cut), were simulated. The pre- and postoperative predicted results of FEM were validated with the corresponding clinical data. For the pre- and postoperative results, the average error of 0.4% and 3.7% for the mean keratometry value ($$\text {K}_{\text{mean}}$$ K mean ) were predicted. Furthermore, the difference in induced flattening effects was negligible for three ICRS types (KeraRing segment with arc-length of 355, 320, and two separate 160) of equal thickness. In contrast, the single and double progressive thickness of KeraRing 160 caused a significantly lower flattening effect compared to the same type with constant thickness. The observations indicated that the greater the segment thickness and arc-length, the lower the induced mean keratometry values. While the application of the tunnel incision method resulted in a lower $$\text {K}_{\text{mean}}$$ K mean value for moderate and advanced KC, the induced maximum Von Mises stress on the postoperative cornea exceeded the induced maximum stress on the cornea more than two to five times compared to the pocket incision and the preoperative state of the cornea. In particular, an asymmetric regional Von Mises stress on the corneal surface was generated with a progressive ICRS thickness. These findings could be an early biomechanical sign for a later corneal instability and ICRS migration. The developed methodology provided a platform to personalize ICRS refractive surgery with regard to the patient’s keratoconus stage in order to facilitate the efficiency and biomechanical stability of the surgery.

Near-future Options of Electricity Generation for Sustainable Development: Trends and Prospects

Electricity is an important part of our daily life and uses for different purposes. However, electricity generation sources are decreasing day by day and electricity mainly generates from renewable and conventional sources of energy. Proper management to create new conventional energy sources is challenging all over the world. Lack of conventional sources of energy, high demand for energy, less available land, and low budget for energy are some of the important factors that cause poor energy management all over the world. In this paper, different potential less attributed sources of energy are analyzed along with their implementation techniques to mitigate high electricity demand in near-future. This review shows that along with renewable and conventional sources of energy, less attended energy sources would be a potential source that can generate electricity. This review also presents that no improved techniques are needed to implement less attended sources of energy and can be implemented with sustainable techniques. This study also proposes implementation techniques of uncommon sources of energy for electricity generation with related challenges that could emerge during the implementation of these sources of energy. In this study, the electricity generation rate and their corresponding applications are also depicted. Proper steps and execution of less attended sources of energy would mitigate high energy demand all over the world and offers a cleaner environment for livelihood.

Modeling Conspicuous Collaboration for Preservice Teacher Candidates Enrolled in Higher Education Courses

Preservice and inservice teachers in higher education should have the opportunity to observe conspicuous collaboration in action. When collaborative efforts are overt and used as teachable moments, the possibilities are clearer and the results more impactful for all participants. In this program description, the authors share benefits, challenges, structures, and implementation techniques for modeling conspicuous collaboration in higher education teacher preparation. In order to provide models of conspicuous collaboration, the authors participated in a project to co-teach aspects of general and special education teacher preparation courses at the undergraduate and graduate levels. The instructors examined their own courses, analyzing the content for each class to design class activities and assignments that could successfully be accomplished by working together and completing meaningful learning activities in multiple ways. Each faculty member delivered their assigned course, adding special collaborative learning activities and assignments that allowed students to have interactive and collaborative experiences while seeing the impact of collaboration of the instructors. Opportunities to demonstrate collaboration became apparent to the authors as students questioned repeatedly how rural K-12 teachers work to best meet the needs of their students. Preservice and inservice teachers in higher education should have the opportunity to observe conspicuous collaboration in action. When collaborative efforts are overt and used as teachable moments, the possibilities are clearer and the results more impactful for all participants. In this program description, we share benefits, challenges, structures, and implementation techniques for modeling conspicuous collaboration in higher education teacher preparation. To provide models of conspicuous collaboration, we collaborated in a project to co-teach general and special education teacher preparation courses at the undergraduate and graduate levels. We examined our own courses to design class activities and assignments that could be successfully co-taught. Each of us delivered our individual course, adding special collaborative learning activities and assignments that allowed students to experience interactive, collaborative learning while observing the purposeful collaboration of their instructors. Both of us—together with our preservice and inservice teachers—realized that optimal collaboration included clarifying roles and responsibilities, displaying respect toward the collaborative partner, holding one another accountable, setting aside time for planning and debriefing, and considering ways to combine classroom assignments and learning activities that met the requirements of both courses.