scholarly journals Design of a subsystem for planning and optimizing the behavior of stand-alone devices for smart homes based on data analysis.

2021 ◽  
pp. 53-59
Author(s):  
I. Kulakovska ◽  
А. Satura
Keyword(s):  
Data Analysis ◽  
User Interfaces ◽  
Smart Home ◽  
Data Transfer ◽  
General Structure ◽  
Control Device ◽  
Test Model ◽  
Advantages And Disadvantages ◽  
System Node ◽  
Control Water

The article describes purposes of Smart Home systems with some of their advantages and disadvantages. Found implementation trends of such systems in modern life, substantiated development relevance. Described general structure of Smart Home system, investigated modern approaches to implementation of Smart Home control systems. The article is dedicated to designing of Smart Home model. The authors analyzed literature about Internet of Things and identified basic requirements for the test model: connectivity, control, data analysis. Considered two of the key components: data base and system node. The authors singled out the main subsystems of the model: interfaces, sensors, heating control, water boiling control, device activity events monitoring and analyzing the date based on time series. The software implementation requires the use of modern lightweight technologies combined with secure data transfer and ease in use user interfaces

scholarly journals Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

10.2196/23943 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e23943 ◽  
Author(s):  
Roschelle L Fritz ◽  
Marian Wilson ◽  
Gordana Dermody ◽  
Maureen Schmitter-Edgecombe ◽  
Diane J Cook
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Random Forest ◽  
Smart Home ◽  
Secondary Data ◽  
Learning Model ◽  
Secondary Data Analysis ◽  
Test Model ◽  
Multiple Methods ◽  
Machine Learning Model

Background Poorly managed pain can lead to substance use disorders, depression, suicide, worsening health, and increased use of health services. Most pain assessments occur in clinical settings away from patients’ natural environments. Advances in smart home technology may allow observation of pain in the home setting. Smart homes recognizing human behaviors may be useful for quantifying functional pain interference, thereby creating new ways of assessing pain and supporting people living with pain. Objective This study aimed to determine if a smart home can detect pain-related behaviors to perform automated assessment and support intervention for persons with chronic pain. Methods A multiple methods, secondary data analysis was conducted using historic ambient sensor data and weekly nursing assessment data from 11 independent older adults reporting pain across 1-2 years of smart home monitoring. A qualitative approach was used to interpret sensor-based data of 27 unique pain events to support clinician-guided training of a machine learning model. A periodogram was used to calculate circadian rhythm strength, and a random forest containing 100 trees was employed to train a machine learning model to recognize pain-related behaviors. The model extracted 550 behavioral markers for each sensor-based data segment. These were treated as both a binary classification problem (event, control) and a regression problem. Results We found 13 clinically relevant behaviors, revealing 6 pain-related behavioral qualitative themes. Quantitative results were classified using a clinician-guided random forest technique that yielded a classification accuracy of 0.70, sensitivity of 0.72, specificity of 0.69, area under the receiver operating characteristic curve of 0.756, and area under the precision-recall curve of 0.777 in comparison to using standard anomaly detection techniques without clinician guidance (0.16 accuracy achieved; P<.001). The regression formulation achieved moderate correlation, with r=0.42. Conclusions Findings of this secondary data analysis reveal that a pain-assessing smart home may recognize pain-related behaviors. Utilizing clinicians’ real-world knowledge when developing pain-assessing machine learning models improves the model’s performance. A larger study focusing on pain-related behaviors is warranted to improve and test model performance.

scholarly journals Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis (Preprint)

2020 ◽  
Author(s):  
Roschelle L Fritz ◽  
Marian Wilson ◽  
Gordana Dermody ◽  
Maureen Schmitter-Edgecombe ◽  
Diane J Cook
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Random Forest ◽  
Smart Home ◽  
Secondary Data ◽  
Learning Model ◽  
Secondary Data Analysis ◽  
Test Model ◽  
Multiple Methods ◽  
Machine Learning Model

BACKGROUND Poorly managed pain can lead to substance use disorders, depression, suicide, worsening health, and increased use of health services. Most pain assessments occur in clinical settings away from patients’ natural environments. Advances in smart home technology may allow observation of pain in the home setting. Smart homes recognizing human behaviors may be useful for quantifying functional pain interference, thereby creating new ways of assessing pain and supporting people living with pain. OBJECTIVE This study aimed to determine if a smart home can detect pain-related behaviors to perform automated assessment and support intervention for persons with chronic pain. METHODS A multiple methods, secondary data analysis was conducted using historic ambient sensor data and weekly nursing assessment data from 11 independent older adults reporting pain across 1-2 years of smart home monitoring. A qualitative approach was used to interpret sensor-based data of 27 unique pain events to support clinician-guided training of a machine learning model. A periodogram was used to calculate circadian rhythm strength, and a random forest containing 100 trees was employed to train a machine learning model to recognize pain-related behaviors. The model extracted 550 behavioral markers for each sensor-based data segment. These were treated as both a binary classification problem (event, control) and a regression problem. RESULTS We found 13 clinically relevant behaviors, revealing 6 pain-related behavioral qualitative themes. Quantitative results were classified using a clinician-guided random forest technique that yielded a classification accuracy of 0.70, sensitivity of 0.72, specificity of 0.69, area under the receiver operating characteristic curve of 0.756, and area under the precision-recall curve of 0.777 in comparison to using standard anomaly detection techniques without clinician guidance (0.16 accuracy achieved; <i>P</i>&lt;.001). The regression formulation achieved moderate correlation, with <i>r</i>=0.42. CONCLUSIONS Findings of this secondary data analysis reveal that a pain-assessing smart home may recognize pain-related behaviors. Utilizing clinicians’ real-world knowledge when developing pain-assessing machine learning models improves the model’s performance. A larger study focusing on pain-related behaviors is warranted to improve and test model performance.

P1-212: Determining the needs of informal caregivers for smart home user interfaces: A first look

2012 ◽  
Vol 8 (4S_Part_5) ◽  
pp. P181-P182 ◽  
Author(s):  
Amy Hwang ◽  
Khai Truong ◽  
Alex Mihailidis
Keyword(s):  
User Interfaces ◽  
Smart Home ◽  
Informal Caregivers ◽  
Home User

INOVASI LAYANAN DRIVE-THRU PERPUSTAKAAN UNTUK MENINGKATKAN BUDAYA LITERASI (STUDI DI DINAS PERPUSTAKAAN DAN KEARSIPAN PROVINSI JAWA TIMUR)

Publika ◽  
2021 ◽  
pp. 25-38
Author(s):  
Anton Wahyu Putra ◽  
Fitrotun Niswah
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Service Innovation ◽  
Qualitative Approach ◽  
Administrative Reform ◽  
Data Presentation ◽  
Advantages And Disadvantages ◽  
Analysis Technique ◽  
Collection Data ◽  
Bureaucratic Reform

Inovasi layanan drive-thru perpustakaan merupakan sebuah layanan yang diciptakan Dinas Perpustakaan dan Kearsipan Provinsi Jawa Timur. Inovasi layanan drive-thru ini berbentuk tempat / loket untuk melayani kebutuhan pemustaka tanpa harus turun dari kendaraan. Inovasi ini bertujuan untuk memudahkan pelayanan kepada pemustaka dengan harapan dapat meningkatkan budaya literasi.. Tujuan penelitian ini adalah untuk mendeskripsikan inovasi layanan drive-thru di Dinas Perpustakaan dan Kearsipan Provinsi Jawa Timur. Fokus penelitian ini adalah Kriteria Inovasi menurut PermenPANRB nomor 3 Tahun  2018 meliputi 5 variabel yang terdiri atas Kebaruan, Efektif , Bermanfaat , Dapat direplikasi, dan Berkelanjutan. Jenis penelitian ini adalah jenis deskriptif dengan pendekatan kualitatif. Untuk teknik pengumpulan data yang digunakan adalah wawancara,observasi, dan dokumentasi. Teknik analisis data yang digunakan adalah pengumpulan data, reduksi data, penyajian data, pemaparan dan penarikan kesimpulan. Untuk hasil penelitian menunjukkan inovasi layanan drive-thru memiliki kelebihan dan kekurangan. Pada kriteria kebaruan menunjukkan inovasi drive-thru merupakan suatu penemuan baru serta menawarkan cara baru dalam melayani pemustaka melalui loket. Untuk kriteria efektif tujuan dari diciptakannya drive-thru adalah untuk memudahkan pemustaka sudah memenuhi, tetapi untuk meningkatkan budaya literasi belum tercapai. Untuk kriteria bermanfaat sudah dapat memberikan manfaat bagi masyarakat dan bagi dinas yang menerapkannya. Pada dapat direplikasi inovasi ini dapat menjadi contoh/rujukan karena sudah ada beberapa instansi yang menduplikasinya, lalu kriteria terakhir keberlanjutan untuk kedepan inovasi ini akan tetap dipertahankan karena mendapat dukungan dari berbagai stakeholder. Saran yang dapat diberikan adalah lebih menggalakan sosialisasi agar drive-thru ini bisa lebih berkembang dan dimanfaatkan oleh lebih banyak orang.    Kata kunci : Inovasi Layanan, Drive Thru Perpustakaan, Budaya Literasi   The library's drive-thru service innovation is a service created by the Library and Archives Office of East Java Province. This drive-thru service innovation is in the form of a counter to serve the needs of visitors without having to get off the vehicle. This innovation aims to facilitate service to users in the hope that it can improve literacy culture. The purpose of this study is to describe the drive-thru service innovation in the Department of Library and Archives of East Java Province. The focus of this research is the Innovation Criteria according to the Regulation of the Minister of Administrative Reform and Bureaucratic Reform (PermenPANRB) number 3 of 2018 covering 5 variables consisting of novelty, effectiveness, benefit, transferbility, and sustainability. This type of research is a descriptive type with a qualitative approach. For data collection techniques used are interviews, observation, and documentation. The data analysis technique used was data collection, data reduction, data presentation, presentation and conclusion drawing. The research results show that drive-thru service innovation has advantages and disadvantages. The novelty criterion indicates that drive-thru innovation is a new invention and offers a new way of serving visitors through the counter. . For the effective criteria, the purpose of creating a drive-thru is to make it easier for users to fulfill it, but to improve literacy culture has not been achieved. For useful criteria, it can provide benefits for the community and for the agencies that implement them. If this innovation can be replicated, it can be used as an example / reference because there are already several agencies that duplicate it. Then the last criteria for sustainability for the future of this innovation will be maintained because it has the support of various stakeholders. Suggestions that can be given are to promote more socialization so that this drive-thru can be more developed and utilized by more people. Keywords : Service Innovation , Drive Thru  Library, Literacy Culture

The structure and application of an automated system for monitoring passenger traffic

2021 ◽  
Vol 14 (3) ◽  
pp. 4-11
Author(s):  
Evgeniy Anikeev
Keyword(s):  
Data Collection ◽  
General Structure ◽  
Automated System ◽  
Passenger Transport ◽  
Service Levels ◽  
Passenger Traffic ◽  
Advantages And Disadvantages ◽  
Transport Services ◽  
Transport Control

Various methods of collecting data on passenger traffic, their advantages and disadvantages are considered. It is shown that in order to improve the quality of transport services, it is necessary to regularly collect and refine data on passenger traffic. The goals and methods of obtaining information about passenger traffic in the system of municipal passenger transport are indicated. All currently existing methods are divided into three categories: data collection using technical means, data collection with the help of censors and volunteers, and interpretation of fare payments. All the methods presented in the article were compared in terms of labor intensity, costs and accuracy of the results obtained. The advantages and disadvantages of each method are considered. The general structure of an automated system for collecting data on passenger traffic is presented. The necessity of creating a centralized system for collecting and processing data associated with all passenger transport control systems has been substantiated. The tasks solved by this system at all levels of transport services for passengers are shown. Each of the tasks is assigned to one of three service levels: pre-transport, transport and post-transport. It is shown that only solving problems at all levels can ensure high-quality operation of the municipal passenger transport system.

Approaches to motion control intellectualization of a mobile robot

2021 ◽  
Author(s):  
Stepan A. Lapshinov ◽  
Vadim A. Shakhnov ◽  
Anton V. Yudin
Keyword(s):  
Mobile Robot ◽  
Motion Control ◽  
Control Device ◽  
Alternative Methods ◽  
Design Solution ◽  
Movement Direction ◽  
Software Complex ◽  
Advantages And Disadvantages ◽  
Drive Control ◽  
Omni Wheel

The paper considers the principles of intelligent motion control of mobile robots using the example of omni-wheel modules. The proposed design solution uses components of movement intelligence in any direction, receiving commands from a human operator or above a standing automatic control device, consisting of an angle of movement direction and the required distance of movement. This paper presents an embodiment of using omni-wheels to move a mobile robot over a flat surface. Features of device and application of drive with three omni-wheels in comparison with differential drive are considered. Kinematics, basic principles of motion control formation, hardware and software complex for its implementation are described. There were revealed two alternative methods of organization of drive control in conditions of shortage of low-level hardware resources on the basis of 8-bit microcontroller, their advantages and disadvantages have been analyzed. Process support and materials have been presented that allows realizing the competitive advantages of development while minimizing the cost of components. Features of mobile robot travel route development have been mentioned on the example of competitive practice.

Heat Transfer Measurements in an Internal Cooling System Using a Transient Technique With Infrared Thermography

2012 ◽  
Author(s):  
Christian Egger ◽  
Jens von Wolfersdorf ◽  
Martin Schnieder
Keyword(s):  
Heat Transfer ◽  
Data Analysis ◽  
Infrared Thermography ◽  
Outer Surface ◽  
Cooling System ◽  
Internal Cooling ◽  
Test Model ◽  
Cooling Channel ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients

In this paper a transient method for measuring heat transfer coefficients in internal cooling systems using infrared thermography is applied. The experiments are performed with a two-pass internal cooling channel connected by a 180° bend. The leading edge and the trailing edge consist of trapezoidal and nearly rectangular cross sections, respectively, to achieve an engine-similar configuration. Within the channels rib arrangements are considered for heat transfer enhancement. The test model is made of metallic material. During the experiment the cooling channels are heated by the internal flow. The surface temperature response of the cooling channel walls is measured on the outer surface by infrared thermography. Additionally, fluid temperatures as well as fluid and solid properties are determined for the data analysis. The method for determining the distribution of internal heat transfer coefficients is based on a lumped capacitance approach which considers lateral conduction in the cooling system walls as well as natural convection and radiation heat transfer on the outer surface. Because of time-dependent effects a sensitivity analysis is performed to identify optimal time periods for data analysis. Results are compared with available literature data.

scholarly journals Recommendations for increasing the transparency of analysis of pre-existing datasets

2018 ◽  
Author(s):  
Sara J Weston ◽  
Stuart James Ritchie ◽  
Julia Marie Rohrer ◽  
Andrew K Przybylski
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Open Science ◽  
Secondary Data Analysis ◽  
Science Practices ◽  
Advantages And Disadvantages ◽  
Analytic Methods ◽  
Technological Advances ◽  
Methodological Tool ◽  
Existing Data

Secondary data analysis, or the analysis of pre-existing data, can be a powerful tool for the resourceful researcher. Never has this been more true than now, when technological advances allow for easier sharing of data across labs and continents and the mining of large sources of “pre-existing data”. However, secondary data analysis is often ignored as a methodological tool, either when developing new open science practices or improving analytic methods for robust data analysis. In this paper, we hope to provide researchers with the knowledge necessary to incorporate secondary data analysis into their toolbox. Specifically, we define secondary data analysis as a tool and in relation to other common forms of analysis (including exploratory and confirmatory, observational and experimental). We highlight the advantages and disadvantages of this tool. We describe how engagement in transparency can improve and alter our interpretations of results from secondary data analysis and provide resources for robust data analysis. We close by suggesting ways in which subfields and institutions could address and improve the use of secondary data analysis.

scholarly journals The effect of group guidance activities at improving friendship relationships to adolescents’ friendship relationshipsArkadaşlık ilişkilerini geliştirmeye yönelik grup rehberliği etkinliklerinin ergenlerin arkadaşlık ilişkilerine etkisi

2017 ◽  
Vol 14 (4) ◽  
pp. 3213
Author(s):  
Yasin Demir ◽  
Mustafa Kutlu
Keyword(s):  
Data Analysis ◽  
Peer Relationships ◽  
Control Group ◽  
Study Group ◽  
Test Model ◽  
Examination System ◽  
Guidance Program ◽  
Mixed Designs ◽  
Made In ◽  
Group Guidance

In this study, it is studied the effect of group guidance activities which consists of eight sessions and prepared to improve friendship relationships on adolescents’ friendship relationships. The study group consists of 32 adolescents. As a research design, it was used pretest-posttest model with control and placebo groups. The data analysis was made with SPSS 18 packet program, and Anova and Ancova tests were used in the analysis. Friendship relation levels of the participants were measured with Peer Relationships Scale. After the pretest measurement, group guidance activities consisted of eight sessions and intended to improve friendship relationships was applied to experimental group adolescents. Within this period, no procedure was performed with the individuals in the control group, and 3 session presentations about the vocational guidance and examination system were made to the individuals in the placebo group. After the sessions, posttest measurement was given. In the data analysis, two factored variance analysis was used for mixed designs. According to the findings from the study, group guidance program aimed at improving the friendship relationships is effective to improve friendship relationships of adolescents. The findings were discussed taking the literature results into consideration, and the suggestions were made in accordance with the results from this study.Extended English abstract is in the end of PDF (TURKISH) file. ÖzetBu araştırmada, sekiz oturumdan oluşan ve arkadaşlık ilişkilerini geliştirmeye yönelik hazırlanan grup rehberliği etkinliklerinin ergenlerin arkadaşlık ilişkileri üzerindeki etkisi incelenmiştir. Araştırmanın çalışma grubu 32 ergenden oluşmuştur. Araştırma deseni olarak kontrol ve plasebo gruplu ön-test son-test model kullanılmıştır. Verilerin analizinde Anaova ve Ancova testleri kullanılmıştır. Katılımcıların arkadaşlık ilişkileri düzeyleri Akran İlişkileri Ölçeği ile ölçülmüştür. Ön-test ölçümünün ardından deney grubunda yer alan ergenlere sekiz oturumdan oluşan arkadaşlık ilişkilerini geliştirmeye yönelik grup rehberliği etkinlikleri uygulanmıştır. Bu süre içerisinde kontrol grubundaki bireylerle hiçbir işlem yürütülmemiştir. Plasebo grubundaki üyelere ise sadece üç oturumluk mesleki rehberlik ve sınav sistemi ile ilgili sunumlar yapılmıştır. Oturumların sona ermesinden sonra son-test ölçümleri alınmıştır. Elde edilen verilerin analizinde karışık desenler için iki faktörlü varyans analizi tekniği kullanılmıştır. Araştırmadan elde edilen bulgular, arkadaşlık ilişkilerini geliştirmeye yönelik uygulanan grup rehberliği etkinliklerinin ergenlerin arkadaşlık ilişkilerini geliştirmede etkili olduğunu göstermektedir. Bulgular literatür sonuçları dikkate alınarak tartışılmış ve araştırmadan elde edilen sonuçlar doğrultusunda önerilerde bulunulmuştur.

scholarly journals Teaching reading through cornell notes strategy

2019 ◽  
Vol 7 (2) ◽  
pp. 75
Author(s):  
Susnifa Atun Sholikhah ◽  
S Sumani ◽  
Brigitta Septarini Rahmasari
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Social Situation ◽  
Teaching Reading ◽  
Data Display ◽  
Advantages And Disadvantages ◽  
Teacher Students ◽  
Simple Question ◽  
Correct Structure ◽  
Difficult Word

The purposes of the research are to describe the implementation, advantages and disadvantages, and solution from disadvantages of teaching reading by using Cornell Note strategy. The research uses descriptive qualitative research as approach and type of research. The sources of data are social situation, participant, and document. The techniques of collecting data are observation, interview, and documentation. To know the validity of the data, the researcher uses methodology triangulation. The technique of data analysis are data condensation, data display, conclusion and verification.The result of the research shows that the implementation of Cornell Note strategy has three steps included pre-activity, whilst- activity, and post- activity. The pre-activities include greeting, praying, checking students’ attendence and explaining the purpose of the meeting. The whilst- activities, the teacher explains how the procedures to read the text by using Cornell Note strategy. The procedures are prepare the worksheet, takes note in right column, write the question in left column, summarize information in bottom space, recite the note. Lastly, post- activities include reviewing and making resume of the material. The advantages are; first, can help the students to analyze the important information in the text. Second, motivate to read a text. Third, train the students’ concentration. Lastly, make the students enjoy in learning reading. Meanwhile, the disadvantages are; first, the students are difficult to know the meaning of the word in the text and make the question with correct structure into English. Besides, the solutions for the disadvantages of implementation Cornell Note strategy are; first, the teacher gives axamples the students to make a simple question. Second, the students can search a difficult word in the dictionary. In this research, the researcher also gives suggestions for the teacher, students, the school and the onther researchers.

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