A Hybrid GWO-PSO technique for the solution of Reactive Power Planning Problem

Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This is done by the placement of reactive power sources in the weak buses and thereafter minimizing the operating cost of the system which is directly dependent on the system transmission loss. The work proposed in this article utilizes FVSI method to detect the weak bus. GWO-PSO is proposed in the current work for providing optimal solution to RPP problem. To test the efficacy of the proposed technique, comparative analysis is then performed among the variants of PSO and hybrid GWO-PSO. The optimal solution rendered by the proposed method is compared with other heuristic algorithms. The proposed method of GWO-PSO generates a reduction of 4.25% in operating cost for IEEE 30 bus and 5.99% for New England 39 bus system. The comparison thus yields that the GWO-PSO hybrid method is superior in generating optimality, diversity and is efficient to generate solution strategies for RPP even in a practical power network.

A Hybrid GWO-PSO technique for the solution of Reactive Power Planning Problem

Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This is done by the placement of reactive power sources in the weak buses and thereafter minimizing the operating cost of the system which is directly dependent on the system transmission loss. The work proposed in this article utilizes FVSI method to detect the weak bus. GWO-PSO is proposed in the current work for providing optimal solution to RPP problem. To test the efficacy of the proposed technique, comparative analysis is then performed among the variants of PSO and hybrid GWO-PSO. The optimal solution rendered by the proposed method is compared with other heuristic algorithms. The proposed method of GWO-PSO generates a reduction of 4.25% in operating cost for IEEE 30 bus and 5.99% for New England 39 bus system. The comparison thus yields that the GWO-PSO hybrid method is superior in generating optimality, diversity and is efficient to generate solution strategies for RPP even in a practical power network.

Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths

In problem-solving, a path towards a solutions can be viewed as a sequence of decisions. The decisions, made by humans or computers, describe a trajectory through a high-dimensional representation space of the problem. By means of dimensionality reduction, these trajectories can be visualized in lower-dimensional space. Such embedded trajectories have previously been applied to a wide variety of data, but analysis has focused almost exclusively on the self-similarity of single trajectories. In contrast, we describe patterns emerging from drawing many trajectories—for different initial conditions, end states, and solution strategies—in the same embedding space. We argue that general statements about the problem-solving tasks and solving strategies can be made by interpreting these patterns. We explore and characterize such patterns in trajectories resulting from human and machine-made decisions in a variety of application domains: logic puzzles (Rubik’s cube), strategy games (chess), and optimization problems (neural network training). We also discuss the importance of suitably chosen representation spaces and similarity metrics for the embedding.

Technology Solutions for Everyday Barriers Among Deaf Older Adults

American Sign Language (ASL) is the primary form of communication for approximately 250,000 people in the U.S. (Mitchell et al., 2006). As these individuals age, they may experience challenges in their everyday activities. For example, ASL users rely on visual cues, but have age-related change in vision. Moreover, ASL users may need to utilize technology to communicate with non-ASL users, but the technology may not be suitable/usable for older adults. We explored these issues in the Aging Concerns, Challenges, and Everyday Solution Strategies (ACCESS) study, wherein we interviewed Deaf older adults (N=60) in ASL, who provided insights into unique, everyday challenges they encounter. We will focus on the technology solution strategies they incorporate to address and overcome challenges with daily activities. Understanding how participants think about, adapt, and utilize different technologies can inform future technology design to successfully support diverse, aging populations.

Technology is the New Normal for Individuals Aging-In-Place With Disabilities

Technology designers often exclude individuals aging with diverse needs, capabilities, and disabilities from engaging in the design process, which can hinder the usability and usefulness of emerging technologies. In this symposium, investigators report on research and development efforts aimed at understanding the needs of, and developing supportive technologies for, people aging with long-term disabilities. This symposium features projects from the Rehabilitation Engineering Research Center on Technologies to Support Aging-in-Place for People with Long-Term Disabilities (RERC TechSAge), which is an interdisciplinary collaboration between Georgia Tech and the University of Illinois at Urbana-Champaign. First, Bayles et al. will discuss findings from the Aging Concerns, Challenges, and Everyday Solution Strategies II study, focused on Deaf older adults’ use of technologies as solution strategies for common everyday challenges. Next, Mitzner et al. will highlight the development of an evidence-based group exercise intervention (Tellewellness Tai Chi for Arthritis) aimed at promoting both physical exercise and social interaction for older adults with long-term mobility disabilities. Kadylak et al. will describe how voice-activated digital assistants can support older adults aging with mobility disabilities by reporting on findings from a longitudinal demonstration project with older adults in assisted and independent living communities. Exploring the potential for smartbathroom technology to promote aging in place, Sanford et al. will discuss how smartbathroom sensor data can be analyzed and vizualized to identify ways to communicate insight from sensor data to improve training of occupational therapy practitioners. Susy Stark from Washington University will serve as the discussant for the symposium.

Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data

Social media have become a very viable medium for communication, collaboration, exchange of information, knowledge, and ideas. However, due to anonymity preservation, the incidents of hate speech and cyberbullying have been diversified across the globe. This intimidating problem has recently sought the attention of researchers and scholars worldwide and studies have been undertaken to formulate solution strategies for automatic detection of cyberaggression and hate speech, varying from machine learning models with vast features to more complex deep neural network models and different SN platforms. However, the existing research is directed towards mature languages and highlights a huge gap in newly embraced resource poor languages. One such language that has been recently adopted worldwide and more specifically by south Asian countries for communication on social media is Roman Urdu i-e Urdu language written using Roman scripting. To address this research gap, we have performed extensive preprocessing on Roman Urdu microtext. This typically involves formation of Roman Urdu slang- phrase dictionary and mapping slangs after tokenization. We have also eliminated cyberbullying domain specific stop words for dimensionality reduction of corpus. The unstructured data were further processed to handle encoded text formats and metadata/non-linguistic features. Furthermore, we performed extensive experiments by implementing RNN-LSTM, RNN-BiLSTM and CNN models varying epochs executions, model layers and tuning hyperparameters to analyze and uncover cyberbullying textual patterns in Roman Urdu. The efficiency and performance of models were evaluated using different metrics to present the comparative analysis. Results highlight that RNN-LSTM and RNN-BiLSTM performed best and achieved validation accuracy of 85.5 and 85% whereas F1 score was 0.7 and 0.67 respectively over aggression class.

Application of ultra-high-performance concrete in prefabricated buildings

As a new cement-based composite material, the ultra-high-performance concrete (UHPC) has attracted wide attention because of its excellent mechanical properties and durability; and it has been applied successfully in the engineering field. As an important way to sustain engineering practice, the combination of prefabricated building and UHPC presents a great economic benefit and is worthy of further exploration. Based on the research and application status of UHPC materials in prefabricated construction, the engineering application classifications of UHPC are introduced; the advantages of using UHPC in prefabricated construction are summarized; the progress on UHPC research and its application in prefabricated construction is also summarized; the potential issues on the application of UHPC in prefabricated construction are pointed out; the possible solution strategies and development directions are proposed for promoting UHPC application in prefabricated construction.

Adjustable Coins

In this paper we consider a scenario where there are several algorithms for solving a given problem. Each algorithm is associated with a probability of success and a cost, and there is also a penalty for failing to solve the problem. The user may run one algorithm at a time for the specified cost, or give up and pay the penalty. The probability of success may be implied by randomization in the algorithm, or by assuming a probability distribution on the input space, which lead to different variants of the problem. The goal is to minimize the expected cost of the process under the assumption that the algorithms are independent. We study several variants of this problem, and present possible solution strategies and a hardness result.

Methodological challenges and solution strategies during implementation of a midwife-led multicenter randomized controlled trial (RCT) in maternity hospitals

Background Randomized controlled trials (RCTs), especially multicentric, with complex interventions are methodically challenging. Careful planning under everyday conditions in compliance with the relevant international quality standard (Good Clinical Practice [GCP] guideline) is crucial. Specific challenges exist for RCTs conducted in delivery rooms due to various factors that cannot be planned beforehand. Few published RCTs report challenges and problems in implementing complex interventions in maternity wards. In Germany as well as in other countries, midwives and obstetricians have frequently little experience as investigators in clinical trials. Methods The aim is to describe the key methodological and organizational challenges in conducting a multicenter study in maternity wards and the solution strategies applied to them. In particular, project-related and process-oriented challenges for hospital staff are considered. The exemplarily presented randomized controlled trial “BE-UP” investigates the effectiveness of an alternative design of a birthing room on the rate of vaginal births and women-specific outcomes. Results The results are presented in five sectors: 1) Selection of and support for cooperating hospitals: they are to be selected according to predefined criteria, and strategies to offer continuous support in trial implementation must be mapped out. 2) Establishing a process of requesting informed consent: a quality-assured process to inform pregnant women early on must be feasible and effective. 3) Individual digital real-time randomization: In addition to instructing maternity teams, appropriate measures for technical failure must be provided. 4) The standardized birthing room: The complex intervention is to be implemented according to the study protocol yet adapted to the prevailing conditions in the delivery rooms. 5) GCP-compliant documentation: midwives and obstetricians will be instructed in high-quality data collection, supported by external monitoring throughout the trial. Conclusion Since not all potential challenges can be anticipated in the planning of a trial, study teams need to be flexible and react promptly to any problems that threaten recruitment or the implementation of the complex intervention. Thought should be given to the perspectives of midwives and obstetricians as recruiters and how clinic-intern processes could be adapted to correspond with the trial’s requirements. Trial registration The BE-UP study was registered on 07/03/ 2018 in the German Register for Clinical Trials under Reference No. DRKS00012854 and can also be found on the International Clinical Trials Registry Platform (ICTRP) (see https://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS0001285).

Why We Lack in Basic Sanitation? An Assessment of Challenges in Ajmer and Solution Strategies

Purpose of the study: The paper attempts to find the answer to the question – Why do we lack in basic sanitation? What are the reasons for it? Paper introspects the challenges encountered in sanitation services for Ajmer district in Rajasthan. It identifies the key bottlenecks of the sanitation system to the ground realities of implementation for a non-metropolitan city. The article also outlines the way forward which is suggested to make the sanitation system in the city more available to all. Methodology: The paper is drawn on policy document analysis, urban sanitation policy and other Indian government promotional materials on urban sanitation, Indian municipalities, and a number of public-private partnerships. The paper reviews the extant literature on urban sanitation and thereafter examines challenges met in Ajmer district of Rajasthan. Main findings: It emphasizes the major challenges of access to sanitation, lack of private sector engagement, lack of regulation and standardization, treatment of wastewater and septage, low infrastructure, weak institutional framework etc. The Paper also proposes suggestions for meeting these challenges so that a proper system of sanitation may emerge. Applications of this study: This study will be useful for all those agencies who are involved with sanitation system governance. The paper contributes to the literature by addressing a neglected theme of investigating the challenges and their probable solution strategies about Ajmer district of Rajasthan. The study will provide background of various challenges faced in various cities in Indian perspectives and how they can be dealt by proposed suggestions. This study will be beneficial in the area of sanitation systems, urban governance, etc. Novelty/Originality of this study: This study is significant in highlighting the type of challenges and what could be possible solutions in Indian perspectives with special reference to Ajmer.