Energy Optimization of Routing Protocols in Wireless Sensor Networks

The hierarchical routing of data in WSNs is a specific class of routing protocols it encompasses solutions that take a restructuring of the physical network in a logical hierarchy system for the optimization of the consum-ption of energy. Several hierarchical routing solutions proposed, namely: the protocol LEACH (Low Energy Adaptive Clustering Hierarchy) consist of dividing the network in distributed clusters at one pop in order of faster data delivery and PEGASIS protocol (Power-Efficient Gathering in Sensor Information Systems) which uses the principle of constructing a chain’s sensor node. Our contribution consists of a hierarchical routing protocol, which is the minimization of the energy consumption by reducing the transmission distance of data and reducing the data delivery time. Our solution combines the two hierarchical routing approaches: chain based approach and the cluster based approach. Our approach allows for multi-hop communications, intra- and intercluster, and a collaborative aggregation of data in each Cluster, and a collaborative aggregation of data at each sensor node

Elastic robotic structures: a multidisciplinary framework for the design and control of shape-morphing elastic system for architectural and design applications

The design of adaptive structures and objects takes place at the intersection of design, architecture, robotics and engineering. Evolving from 1960s cybernetics to today’s interactive projects, technological advancements shape new visions for adaptive systems. A key challenge in this field is developing human-scale, shape-morphing structures. Elastic materials offer a promising solution for creating lightweight systems capable of large transformations with minimal components and energy, unlike conventional rigid systems. This approach requires methodologies for designing and controlling complex material deformations. While architectural and structural design methods focus on large-scale but static elastic structures, soft robotics explores dynamic behaviors. However these approaches are limited for complex shapes and large-scale, as their focus is on specialized applications. To address these issues, this research introduces a multidisciplinary framework for the design and control of shape-morphing elastic system for architectural and design applications. It also presents the concept of elastic robotic structures (ERS), which refers to a body of work developed with the framework. ERS are defined as large-scale elastic systems that are robotically actuated and can achieve multiple geometrical states, interacting with humans and adapting to diverse conditions. The multidisciplinary framework is presented for ERS design, characterization and control, showing how it leverages the integration of architecture, engineering and robotics to overcome the limitations of discipline-specific traditional approaches. The framework is applied in the realization of different types of ERS, which are presented and categorized. Combining the flexibility and interactivity of design methodologies with the reliability of robotic solutions will enable designers and engineers to develop innovative elastic shape-changing systems and program their behaviors

Ant colony algorithm for web page classification

As the information contained in the web is increasing, organizing this information is a necessary requirement. Classification is a way to organize the web's information. While there is different ways to classify the web information, swarm intelligence is a new one in this field. This paper investigates usage of a swarm intelligence algorithm in the field of the web page classification; Focusing on Persian web pages. Ant Miner II is the used algorithm. It also propose a simple text preprocessing technique to reduce the large numbers of attributes associated with web content mining, without dealing linguistic complications. The result shows Ant Miner II and proposed preprocessing technique are efficiency in the field of the web page classification

Propagation and scattering of electromagnetic waves in low THz band in automotive radar applications

This thesis, firstly, due to the lack of knowledge in influence of harsh outdoor environment on the performance of the low-THz automotive sensors, the investigation has been done to demonstrate the performance of low-THz sensors in the presence of different radome contaminants (mud, oil, grit, etc.) and various weather conditions (rain, snow, fog, etc.) to prove the feasibility of using low-THz frequencies (100 GHz -1 THz) in automotive radar in uncontrolled environmental conditions. Secondarily, this thesis reports and discuss the important and yet unsolved task on automotive surface recognition and shows the possibility of using Low THz radar for road surface classification by exploring the radar signal backscattering from surfaces with different roughness, and finally this thesis demonstrate the novel approach to surface classification based on the analysis of radar images obtained using the low THz imaging radar and demonstrate the advantage of low THz radar for surface discrimination for automotive sensing. The proposed experimental technique in combination with a convolutional neural network provides high surface classification accuracy

Design and control of robotic shape-morphing pneumatic-hybrid structures for architectural and design applications

Shape morphing systems are extensively explored by designers and engineers to create adaptive structures capable of responding to changing conditions. Recent advances in computational tools, smart materials, and robotics have highlighted new opportunities in the field, originally influenced by cybernetics. However, achieving substantial changes in shapes and multiple states of equilibrium at human and building scales, while utilizing minimal resources, remains a key challenge. The use of elastic lightweight systems, such as pneumatic, bending, and hybrids, offers a promising approach to designing shape-morphing structures in architectural applications. While these systems are valued for their efficiency and aesthetic qualities, there are limited examples of adaptive elastic systems in structural and architectural design, mainly due to the lack of methods that can control continuous nonlinear large deformations. Additionally, while soft robotics strategies focus on controlling elastic deformations, their approaches are limited in terms of design flexibility and scale. This paper proposes a new multidisciplinary framework for the design and control of shape-morphing pneumatic systems for structural and architectural applications, integrating methods from computational and structural design with soft robotics. Furthermore, it presents successful applications of this approach in developing various shapemorphing pneumatic structures

Evaluation of different extractors of features at the level of sentiment analysis

Sentiment analysis is the process of recognizing and categorizing the emotions being expressed in a textual source. Tweets are commonly used to generate a large amount of sentiment data after they are analyzed. These feelings data help to learn about people's thoughts on a various range of topics. People are typically attracted for researching positive and negative reviews, which contain dislikes and likes, shared by the consumers concerning the features of a certain service or product. Therefore, the aspects or features of the product/ service play an important role in opinion mining. Furthermore to enough work being carried out in text mining, feature extraction in opinion mining is presently becoming a hot research field. In this paper, we focus on the study of feature extractors because of their importance in classification performance. The feature extraction is the most critical aspect of opinion classification since classification efficiency can be degraded if features are not properly chosen. A few scientific researchers have addressed the issue of feature extraction. And we found in the literature that almost every article deals with one or two feature extractors. For that, we decided in this paper to cover all the most popular feature extractors which are BOW, N-grams, TF-IDF, Word2vec, GloVe and FastText. In general, this paper will discuss the existing feature extractors in the opinion mining domain. Also, it will present the advantages and the inconveniences of each extractor. Moreover, a comparative study is performed for determining the most efficient combination CNN/extractor in terms of accuracy, precision, recall, and F1 measure

Primiparous women's experiences of normal vaginal delivery in Iran: A qualitative study

Background: Childbirth is considered as the most challenging psychological event in a woman's life. It has a major effect on women's lives with long-term positive or negative impacts. Cultural, religious, and socioeconomic differences can affect women's perception about normal vaginal delivery (NVD) experience. Therefore, it is necessary to explore the primiparous women's perception about it. Methods: This qualitative study, with a descriptive content analysis approach, was conducted in Kashan, a city in the center of Iran. Purposive sampling was used to recruit the participants of the current study. Data was gathered by semi-structured interviews during 24 h after normal vaginal birth among primiparous women. The sampling started from June to October in 2016. Interviews continued until data saturation which was achieved in the 14th interview but for assurance, it continued until the 17th one. Results: The following three main themes were extracted "immersion in stress", "pain, the essence of NVD" and "strategies for situation management". Furthermore, seven subthemes were obtained including 'loss threat', 'stressful context', temporary impairment in physiologic harmony, paradoxical emotions, self-management, emotional support, and spiritual support. Conclusions: This study showed that stress and pain were two highlighted issues in NVD process. Increasing women's awareness about NVD process, familiarizing the primiparous women with the simulated delivery room, accompanying these women for emotional support, and providing spiritual support can be effective in situation management to make the child delivery a pleasant and satisfying experience. © 2020 The Author(s)

Elastic Choreographies: A robotic bending active structure interacting with humans

This research explores the interaction between an actuated space and its human occupant. The research was carried out using a model consisting of a bending active textile hybrid material system, which leverages architectural elastic robot capabilities and the potentials of soft forms to create artistic performances

Compassion Fatigue in Clinical Nurses: An Evolutionary Concept Analysis

Background: Despite the agreement regarding the significance of the concept of CF in nursing, it has been unrecognized, and there is no clear definition of compassion fatigue in the context of nursingObjectives: The aim of this study is to inductively develop or formulate a clear and uniformed definition of compassion fatigue in the context of nursing.Patients and Methods: A Concept analysis using Rodger’s approach using a literature-based method and thematic analysis was conducted. Steps of Rodger’s concept analysis encompass identify the concept and associated definition, attributes, antecedents, consequences, surrogate terms, related concepts, and a model case exemplar.Results: attributes, antecedents and consequences of compassion fatigue from literatures is extracted and then a vivid definition is achieved.Conclusions:this analysis demonstrated that the concept of compassion fatigue is comprised of excessive empathy, the symptomatology of secondary traumatic stress, the problematic work environment of burnout and coping mechanism deficit. Keywords: Compassion fatigue, Secondary traumatic stress, nurse, concept analysi