Demand response management system with discrete time window using supervised learning algorithm

Demand Response (DR) is a key attribute to enhance the operation of smart grid. Demand response improves the performance of the electric power systems and also deals with peak demand issues. Demand Response (DR) implementation for residential consumers is potentially accredited by Home Energy Management System (HEMS). This paper presents an algorithm for home energy management system to shift the schedulable loads in a residential home, that neglects consumer discomfort and minimizes electricity bill of energy consumption using Hourly-Time-Of-Use (HTOU) pricing scheme. Supervised learning algorithm is used in this paper to learn the usage patterns of consumers to allow schedulable appliances at a residential home to autonomously overcome consumer discomfort. Simulation results confirms that the proposed algorithm effectively decreases consumer electricity bill, decreases peak load demand and also avoids consumer discomfort.     

An improved energy efficient cluster head selection protocol using the double cluster heads and data fusion methods for IoT applications

The more energy consumption is the major issue for wireless sensor network. In wireless sensor network (WSN), sensor nodes are fixed in various routing algorithms. In the same networks, mobile sensor and fixed sensor nodes are combine and its used in few applications. The function is corruption while mobility was achieved, since these nodes have minimum battery power, lower range of communication and a lessor amount of memory. To overcome this issue, Improved Energy Efficient Cluster Head Selection protocol (IEECHS-WSN) is proposed, in these technique is used to transfer the received information by using energy efficient routing protocol. In the CH election method, two cluster heads are selected in a separated cluster and its work in various functions, this can be prolong the network lifetime and decrease the energy consumption of IoT applications. Proposed technique is described on clustering of dual CHs in the method of data fusion for data entropy. This information entropy is used for fusion and classification, the result of fusion and classification are accurate and efficient for data transmission. Our proposed IEECHS protocol has better throughput, lifetime of network and energy consumption compared than the existing technique.     

Heterogeneous load balancing clustering protocol for Wireless Sensor Networks

Wireless Sensor Networks is one of the most significant area of research where large number of sensor nodes that are distributed in a geographical area operate on limited battery power. As these networks, depending on the application, are sometimes deployed in in-hostile environment, which makes energy conservation one of the major challenge faced in WSN. To reduce energy consumption, clustering is considered to be the most efficient technique. This work proposes a new clustering approach that decreases energy consumption and results in prolonged network lifetime which is an important requirement for networks operating in inaccessible areas. In the proposed approach, heterogeneity is also implemented to increase the stability and energy efficiency of random networks. We have evaluated the efficiency of the proposed protocol through simulations and comparison is performed with well-known existing distributed protocols. Proposed approach shows efficient results in terms of the stability period for different network configurations and Base Station positions. Also, the results are found better in terms of number of alive nodes and network lifetime.     

Élargissement et renouvellement des questions traitées par l’ergonomie dans le domaine du développement durable : retour sur 12 ans de travaux sur les activités domestiques et la maîtrise des consommations énergétiques

This paper aims to trace how the integration of a societal issue such as “sustainable development” influenced our work in ergonomics in terms of activity analysis and contributions to the design during the last 12 years. We redefined the issue of energy consumption management and of behavioral modification. If we first developed household activities analyses for the design of smart home services, the introduction of sustainable issues leaded us to build the concept of “sustainable situation”: a new form of interaction between the actors and their environment. Sustainable situations allow energy consumption reduction as well as human well-being and development. We thus added sustainability as a new design criteria to preexisting ones such as utility, usability and appropriability. This new design perspective leaded us to enlarge our analysis of the lived experience at home to the longitudinal analysis of processes (appropriation, reflexivity, development and commitment) for the design of resources for the human development and activities.     

Management of Behavioral Problems in Late Life—Therapeutic Approaches and Related Issues: Introduction to a Special Issue

In this introduction, I provide a brief overview of the five papers contained within this special issue of the Journal of Clinical Geropsychology. The purpose of this issue is to provide new information and insight into various therapeutic approaches and issues related to the assessment and treatment of behavioral problems in older adults. These papers cover both basic and applied issues pertaining to the broad topic of behavioral management in late adulthood, offering new insights and directions for future research.     

Methodological developments in personality research: An introduction

This article first provides a brief overview of some of the empirical and conceptual work in personality following Mischel's (1968) critique Strengths and weaknesses of traditional personality research designs including laboratory experiments, experimental personality designs, and preexperimental correlational studies are presented Some more recent approaches to designing laboratory research that attempt to address issues of external validity and approaches to designing field Investigations that attempt to address issues of internal validity are discussed Issues associated with the measurement of constructs, the broadening of measurement methods, and newer data analytic techniques are noted Finally, a brief orientation to the other papers in the special issue is presented     

Substance Abuse Treatment Outcomes: Treatment Practice and Policy Implications

Treatment professionals, whether clinicians, scientists, or policy makers, are interested in developing methods to improve behavioral health treatment outcomes. Clinicians are interested in knowing what treatment practices to incorporate into the services they offer clients. Policymakers request guidance regarding which decisions are most likely to lead to effective treatment approaches and structures. Scientists are eager to contribute knowledge pertinent to building and evaluating effective treatment practices and policies. The papers in this special series provide information on substance abuse treatment practices andpresent findings relevant to clinical practice, policy decisions, and scientific inquiry. This paper provides a brief overview of the National Treatment Improvement Evaluation Study (NTIES) and briefly summarizes the other research papers included in this issue, all of which exemplify practice and policy issues in the substance abuse treatment field and bolster approaches applied to address these issues.     

Integrating basic and applied research and the utility of Lattal and Perone's Handbook of research methods in human operant behavior

Lattal and Perone's Handbook of methods used in human operant research on behavioral processes will be a valuable resource for researchers who want to bridge laboratory developments with applied study. As a supplemental resource, investigators are also encouraged to examine the series of papers in the Journal of Applied Behavior Analysis that discuss basic research and its potential for application. Increased knowledge of behavioral processes in laboratory research could lead to innovative solutions to practical problems addressed by applied behavior analysts in the home, classroom, clinic, and community.     

Issues in Assessing Psychological Characteristics at a Distance: An Introduction to the Symposium

This article provides an overview of the issues, methods, and constructs presented in the papers for the symposium Issues in Assessing Psychological Characteristics at a Distance. These papers share a substantive focus on the psychological characteristics of U.S. presidents and a common commitment to the use of 'at-a-distance' assessment techniques. In this context, at-a distance measures raise several substantive and methodological issues, including the connections between leaders and advisors, the value of public versus private rhetoric, and differences between spontaneous and prepared source material. The authors of the papers use two psychological constructs, the operational code and conceptual complexity, to investigate these issues and to illustrate the utility of at-a-distance methods for assessing psychological characteristics.     

Characteristics,Properties and Ethical Issues of Carbon Nanotubes in Biomedical Applications

The field of nanotechnology and nanoscience is growing rapidly in many areas of research, from electronics to biomedicine to material science. Carbon nanotubes are receiving a lot of attention in the research due to their unique properties and many possible applications. This new material is a good example of how nanotechnology provides us with new opportunities, but at the same time leaves us a lot of unknowns to deal with. In order to deal with the unknowns we need to consider both the science and the ethics of the different applications of this novel material. Nanoethics is the study of the ethical issues in nanotechnology. It is a relatively new field of study and a lot of different methods have been suggested in this area. In this article a method is suggested combining an existing ethical theory with a practical approach in order to do a case study of the ethical considerations of using carbon nanotubes in biomedicine. For the case study to be of practical significance the scientific characteristics and properties of carbon nanotubes are reviewed to give the reader an overview of the research field.     

Introduction to the Special Issue: Toward Diversity and Cultural Competence in Genetic Counseling

This introduction provides an overview of the professional issues and original research papers in this special issue. The articles address workforce challenges and/or cross-cultural education and communication with culturally and religiously diverse clients. Additional suggestions are made for moving the profession of genetic counseling toward diversity and cultural competence.     

Entrepreneurial Passion: A Review,Synthesis, and Agenda for Future Research

The present study undertakes a comprehensive and critical review of the body of empirical work on entrepreneurial passion. In particular, we document how the “first generation” of research on entrepreneurial passion and work passion in entrepreneurs has gained growing attention in various sub-fields of entrepreneurship research including entrepreneurial management, psychology, and finance. We provide an overview over theories used, definitions and measurements adopted, research methods utilized (e.g., qualitative vs. quantitative, survey-based vs. experimental/intervention), the thematic focus of studies, and unit of investigation (e.g., individual vs. team). We not only flag the problems of inconsistencies and limitations with respect to theory use, the making of causal inferences, and the conceptualization and measurement of entrepreneurial passion in existing studies (e.g., jingle fallacies), but also review the antecedents and outcomes of entrepreneurial passion identified in prior work and work where it had been examined as a moderator. Following this, we offer a research agenda with concrete suggestions to act as a foundation for the “second generation” of entrepreneurial passion research that proactively addresses the issues and gaps identified in our review. Finally, we also highlight how insights from the entrepreneurial passion literature can inform scholarship on passion more broadly.     

Statistical Power Analysis in Psychological Research

Reviews of the psychological literature suggest that many studies lack sufficient statistical power to detect effects of interest. Increased attention to statistical power by journal editors, reviewers, and funding agencies has led to a need for researchers to consider power carefully when designing studies. Our goal is to present an overview of issues that influence statistical power in the context of traditional research designs and analytic methods. We then extend the discussion of statistical power to complex designs and analyses providing readers with sources useful for evaluating power in the design stage of conducting research. Finally, we advocate the use of simulation and Monte Carlo methods as a flexible general strategy for designing research studies with adequate statistical power.     

DRUG ABUSE AND THE FAMILY

The Family and Drug Abuse Symposium held on July 10–12, 1975, brought together individuals who possess clinical and/or research expertise in the area of family research and substance abuse. The purpose of the symposium was directed toward assessing the current state of knowledge in the field and delineating directions for future work. The role of family interaction in causing or maintaining a drug abuse problem has only recently become the focus of research and innovative treatment efforts. This special section is intended to acquaint therapists and researchers with recent work in the field; the papers are revised versions of materials originally prepared for the symposium. This first paper offers a brief overview of the symposium and summarizes issues that arose from each of the four workshops: I. Psychosocial Research; II. Clinical Observations; III. Clinical Programs; and IV. Recommendations Made to the National Institute on Drug Abuse. The next paper is a review of recent studies in research and treatment that have approached substance abuse from a family viewpoint. Other research methods that appear relevant to the study of families with a drug-abusing member are discussed. Three commentaries on this review follow. The last paper describes an extensive effort to implement and evaluate family therapy within an existing drug treatment facility.     

Experimental Social Innovation and Dissemination: The Promise and Its Delivery

This paper describes the origin of the Experimental Social Innovation and Dissemination model and its contribution to and intersection with community psychology. It also discusses the challenges presented to ESID by community psychology's growing emphasis on cultural diversity and participatory approaches to research and intervention. It concludes with an overview of the papers presented in the special issue.     

School Counselors and Consultants: Legal Duties and Liabilities

This article provides an overview of legal issues and problems salient to school counselors who provide direct services to students or indirect services through consultation. Among legal issues addressed are privacy, confidentiality, and privilege—conceptually distinct topics that in practice often overlap. Also covered are legal duties pertaining to handling student records, conducting research projects, reporting child abuse, and testing and placing students. Among the legal liabilities discussed are those arising from contract, tort, and criminal law and from violations of federal constitutional and statutory rights.     

Stereotype accuracy

Methodological issues and empirical findings from stereotype accuracy research are reviewed. Methodological issues include the limitations of accuracy criteria and three methods of comparing perceived to actual group characteristics--signed discrepancies, absolute discrepancies, and within-subject correlations. Empirical findings concern the roles of cognitive processes, status and power, and social ideology in intergroup perceptions; stereotype development; individual differences in stereotyping; and stereotype use. It is argued that stereotype accuracy research is neither easy to do nor politically popular, but that it may challenge existing theory and stimulate new ideas about the nature of stereotyping processes.     

An analysis of sustainable consumption practices through the role of the consumer behavior in the circular economy

Sustainable consumption analyses the choice of products to address environmental issues. In recent years, the circular economy model () has offered strategies as possible solutions to address the growing demand for action on climate justice. The success of a business model depends on understanding the consumer's role. The power of individual consumer actions is vital for minimizing the adverse impacts of climate change. Although the effectiveness of in the business sector has been studied, the literature has ignored the role of consumers in sustainable consumption practices through. Thus, using a survey technique, this quantitative study analyzed part of the theoretical model of Mostaghel and Chirumalla to analyze how awareness and consumer attitude significantly impact purchase intention and ethical purchasing behavior. The data analyzed through PLS-SEM reflected several theoretical implications in the forms of consumer behavior, a topic that has not been addressed in the literature.     

Internet of image things-discrete wavelet transform and Gabor wavelet transform based image enhancement resolution technique for IoT satellite applications

In image processing, image enhancement is a vital processing chore. The image enhancement can improve the image quality by removing either blur or any kind of noise in the image. Image enhancement technique is utilized in many applications, such as medical, satellite, agriculture, oceanography and so on. This paper focuses on the IoT satellite applications. Most of the satellite images are essential to have high resolution satellite images, low resolution images are majorly affected by absorption, scattering, spatial resolution and spectral resolution issues. For better resolution of these kinds of issued images, Discrete Wavelet Transform (DWT) based interpolation method, combination of DWT and stationary wavelet transform (SWT) methods, bicubic interpolation methods are utilized. However, DWT with SWT method is failed avoid distorted in the resultant images, the bicubic interpolation method is quite complex and cannot give a clear image. DWT based interpolation method lose linear features and unwanted oscillations are occurred and edges data is lost. Therefore, DWT and Gabor technique is proposed to overcome existing method issues. DWT is decomposed into multiple sub-bands; GWT is employed to minimize the loss of information in wavelet domain. The advantages of the GWT are less complexity, remove the noise, and also sharp the image. The proposed method of the PSNR, MSE is compared with existing methods by using the different satellite images.