Reviewerly/exHarmony huggingface dataset:
An Indoor Surveillances System Using Fisheye Camera and YOLOV4 Object Detection

Currently, most indoor surveillance systems employ conventional cameras in a monitored place to have full coverage. However, there are still uncovered areas under surveillance because of the limitation of conventional cameras, for example, the shooting angle restriction. To alleviate the problem, this paper presents a surveillance system based on a fisheye or 360-degree panoramic camera and YOLOv4 object detection. The proposed approach consists of four stages: (i) capture panoramic images, (ii) convert the captured image into a conventional image, (iii) detect objects, that is, human objects, and (iv) record them if necessary. The proposed approach will reduce costs, save installation time, and eliminate areas uncovered in a surveillance system.
Maximum Application of Power Point Tracker on Microcontroller Based Dual Energy Solar Powered Dryer

Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel capacity of 200WP is equipped with a maximum power point tracker as an integrated solar collector with a photovoltaic system. The system in this solar-powered dryer consists of a solar panel tracker, a rotating aluminum cylinder net, a photovoltaic tracker, a battery bank, a microcontroller, and a DC/AC inverter. This system improves the performance of solar panels in the drying process of Moringa leaves. This design is expect to be the right system to ensure maximum results by providing solar radiation energy in the drying process of agricultural products. The aims goal to minimize problems in the drying of agricultural products experienced by farmers using an automatic dual-energy solar-powered dryer as a development innovation for the drying process. This study uses an experimental methodology and field data collection using a solar-powered dryer that has been analyzed and measured to obtain data comparisons. shows the maximum data of voltage and power response in positioning photovoltaic to produce the increased output power of photovoltaic array. Maximum application of powerpoint tracker on microcontroller based dual energy solar powered dryer on solar panels for drying moringa leaves produces the advantage of maximum energy absorption in solar panels and shortens the time in the drying process of moringa leaves.
Robots Collecting Data: Robust Identification of Products

A supermarket can have numerous stock keeping units (SKUs) in a single store. The arrangement of SKUs or products in a supermarket is carefully controlled and planned to maximize sales. However, verifying that the real shelves match ideal layout, a task called planogram compliance, is a costly process that requires store personnel to take an inventory of thousands of products. In order to automate this task, we have developed a system for retail product identification that doesn’t require fine tuning on the supermarket products, shows impressive generalization and is scalable. In this chapter, we address the problem of product identification on the grocery shelves by using a deep convolutional neural network to generate variable length embeddings corresponding to varying accuracy. For embedding generation, we created an in-house dataset containing more than 6,900 images and tested our model on the dataset created from the real store with products in different rotations and positions. Our experimental results show the effectiveness of our approach. Furthermore, our solution is designed to run on low powered devices such as Intel’s Neural Compute Stick 2 on which our perception system was able to achieve 5.8 frames per second (FPS).
Knowledge Society: Psychological-Social Cognition Review

The purpose of this article is to explore the usefulness of conducting psychological-social cognition approach for understanding "knowledge society" as the most important trends in our technological-scientific life.A knowledge society generates shares and makes available to all members of the society knowledge that may be used to improve the human condition.The study has applied the concepts of social cognition area such as: representation, reasoning, memorizing, and attribution, in acquiring the knowledge in "knowledge society".Exploring the definition of knowledge, knowledge society, and social cognitions was presented.
Perceptual Evaluation on the Man-Machine-Environment System of Music Library

Music library is not only a library with artistic characteristics, but also an integrated system of man-machine-environment. This research takes the music library of Tsinghua University Library as an example to evaluate and analyze the corresponding man-machine-environment system. Firstly, the man-machine- environment system of the music library is established and classified. Then, the environment, including the luminous environment, the thermal environment, the acoustic environment and the spatial environment is evaluated in terms of the human comfort in applications. This paper discusses the improvement of thermal environment for superior human comforts and the coordinated control of acoustic and luminous environment in the library. The results of this paper may provide a significant reference for the humanized service improvement of music library.
Comparative Study on the Reachability Distance Measurement Method: Difference Between the Real Environment and Mixed Reality Simulation

The study aimed to analyze the feasibility of Mixed-Reality (MR) in measuring reachability distance and to compare it with the real environment method. The effect of participants’ gender was also taken into consideration. Thirty-six subjects were recruited in this study. Subjects were asked to provide the reachability distance they perceived when they faced the confederate in both real environment and MR environment. Two-way ANOVA was used to clarify the relationship between the independent variables (participants’ gender and measurement method) and the dependent variable (reachability distance). The intraclass correlation coefficient was used to indicate the reliability of these two measurement methods. The experiment results showed that the distance measured in the MR environment was consistent with that collected in the real environment, and the MR simulation method showed higher reliability. For the gender effect, the reachability distance of male subjects was larger than that of female subjects. In addition, there was no significant interaction effect between gender and measurement method. The findings of this study validated the reliability of the MR simulation method when collecting reachability distance and proposed that MR technology was a promising tool in conducting psychological experiments and studying human behaviors.
Research on the Comprehensive Evaluation of Environmental Comfort in Deep-Sea Confined Space Based on Entropy Weight Method

In order to provide a reference for improving the environment of deep-sea confined space and improving the comfort of the space environment, this study constructs a deep-sea confined space from four aspects: heat and ventilation environment, light environment, sound and vibration environment and comprehensive design according to the characteristics of deep-sea confined space environment. The environmental comfort evaluation index system has established a comprehensive index evaluation method, including index standardization, index weight determination based on entropy weight method, index comprehensive calculation and classification. A questionnaire survey was used to investigate and comprehensively evaluate the environmental comfort of a deep-sea confined space manipulation area (Area A), a residential area (Area B) and a dining area (Area C). The environmental comfort evaluation index system of deep-sea confined spaces is constructed from twelve dimensions, including temperature, ventilation, odor, humidity, noise, vibration, swing, lighting, color matching, space design, human factor design, and floor comfort. The research results put forward corresponding improvement suggestions for the environmental comfort of a certain deep-sea confined space manipulation area (Area A), living (B area) and dining area (C area).
Research on Operational Effectiveness Evaluation of a Certain Type of Equipment

(Purpose) By comparing different evaluation methods, find a better method to evaluate the operational effectiveness of a certain type of equipment. (Method) AHP is used to construct the model, expert evaluation and step-by-step evaluation of the operational effectiveness of a certain type of equipment. (Results) An evaluation method is selected, the hierarchical evaluation model of operational effectiveness of a certain type of equipment is established, the judgment matrix of operational effectiveness evaluation is constructed, and the hierarchical ranking of operational effectiveness evaluation is carried out, and the basic conclusions and targeted countermeasures are put forward. (Conclusion) It is feasible to evaluate the operational effectiveness of a certain type of equipment by AHP, and the results are consistent with the actual application results of the equipment. This paper have theoretical significance for evaluating and improving the operational effectiveness of a certain type of equipment.
EVALUATION OF DIGITAL IMAGE WATERMARKING TECHNIQUES

The advancing world of digital multimedia communication is facing problems linked to security and authenticity of digital data. The data security term is described as protecting information or digital data against any attack that may be performed by utilizing different attacking technologies, methods and techniques. A watermark system is reported to be secure, if the hacker cannot take away the watermark without full knowledge of embedding algorithm, detector and composition of watermark. This paper has shown the survey on image watermarking and its various techniques. From the survey it has been concluded that none of the technique performs effectively in all fields. Keywords— CZT, DWT, Image Watermarking, Negative Selection Algorithm, SVD
Research on data consistency detection method based on interactive matching under sampling background

Multisource data are a common phenomenon in the era of big data. Detecting the consistency of multisource data is a basic problem in decision-making, which is widely contemplated in academic and applied fields. In this paper, the consistency detection between big datasets is mainly conducted as follows: (1) With If-then classification rules as the core concern of the dataset, decision trees as the acquisition approach of the rules, and the interactive matching of classification rules as the carrier, the measurement model of interactive matching under the background of random sampling (SB-IMM in short) was established. (2) The performance analysis of the SB-IMM is analyzed by combining the law of large numbers and several common UCI datasets. 3) The application of the SB-IMM in public policy-making is discussed by taking the consistency between the middle and east data of the CHFS dataset as an example. A theoretical analysis and the experimental results show that the SB-IMM has good structural characteristics and interpretability, which can provide theoretical support for the processing of big data and has wide prospects for application.
Understanding the indicative factors of university/college closings

Higher education has been in a financially precarious position for many years – facing either a total transformation or elimination. Tuition increases and fewer college-age students from shifting demographics are primary reasons for the financial distress. Alternative financial stability models have assumed linear variable relationships and improperly calculate the probability of default. Stakeholders have historically relied upon models such as those developed by Edmit and the Department of Education which are inadequate at separating financially sound from unsound universities. We used an Automated Machine Learning approach utilizing multiple models to explain the relationship between metrics and the probability of default/closure allowing for more informed managerial decisions. This research, although applied to the homogeneous group of small liberal arts universities, can be applied to online and state universities and will allow the opportunity to take preventive steps to mitigate the likelihood of closing due to financial distress.
A Computer-Assisted Diagnostic (CAD) of Screening Mammography to Detect Breast Cancer Without a Surgical Biopsy

Breast cancer has become a major health problem in the world over the past 50 years and its incidence has increased in recent years. It accounts for 33% of all cancer cases, and 60% of new cases of breast cancer occur in women aged 50 to 74 years. In this work we have proposed a computer-assisted diagnostic (CAD) system that can predict whether a woman has cancer or not by analyzing her mammogram automatically without passing through a biopsy stage. The screening mammogram will be vectorized using the n-gram pixel representation. After the vectors obtained will be classified into one of the classes—with cancer or without cancer—using the social elephant algorithm. The experimentation using the digital database for screening mammography (DDSM) and validation measures—f-measure entropy recall, accuracy, specificity, RCT, ROC, AUC—show clearly the effectiveness and the superiority of our proposed bioinspired technique compared to others techniques existed in the literature such as naïve bayes, Knearest neighbours, and decision tree c4.5. The goal is to help radiologists with early detection to reduce the mortality rate among women with breast cancer.
A Survey on Female Breast Cancer

The mortality rate of breast cancer can be effectively reduced by early diagnosis. Imaging modalities are used to diagnose through computer for women breast cancer. Digital mammography is the best imaging model for breast cancer screening technique and diagnosis. Digital breast tomosynthesis (DBT), a three-dimensional (3-D) mammography, is an advanced form of breast imaging where multiple images of the breast from different angles are captured and reconstructed (synthesized) into a three-dimensional image set. This chapter discusses the research work carried out on the computer diagnosis of women breast cancer through digital breast tomosynthesis and concludes with further improvement in the computer-aided diagnosis.
Effect of GLCM Texture Features on the Medio-Lateral Oblique (MLO) View of Digital Mammograms for Breast Cancer Detection

Breast cancer is one among the most common cancers in women. The early detection of breast cancer reduces the risk of death. Mammograms are an efficient breast imaging technique for breast cancer screening. Computer aided diagnosis (CAD) systems reduce manual errors and helps radiologists to analyze the mammogram images. The mammogram images are typically in two views, cranial-caudal (CC) and medio lateral oblique (MLO) views. MLO contains pectoral muscles (chest muscles) at the upper right or left corner of the image. In this study, it was removed by using a semi-automated method. All the normal and abnormal images were filtered and enhanced to improve the quality. GLCM (Gray Level Co-occurrence Matrix) texture features were extracted and analyzed by changing the number of features in a feature set. Linear Support Vector Machine (LSVM) was used as classifier. The classification accuracy was improved as the number of features in GLCM feature set increases. Simulation results show an overall classification accuracy of 96.7% with 19 GLCM features using SVM classifiers.
Guessing PINs, One Partial PIN at a Time

Entering digits of a personal identification number (PIN) is a common form of authentication. One variant of this scheme is to request the digits from a random subset of positions, which is sometimes called a partial PIN. In this paper we consider strategies for guessing the PIN when a partial PIN scheme is in use, which allows the quantification of the strength of this mechanism. We suggest several strategies for guessing the PIN under the assumption that the organisation assigns PINs randomly and requests random positions from the PIN at each login. We present analytic and simulation results from the different strategies and explore their performance when guessing different sizes of PIN and requested subset. We find that the most effective strategies have a reasonable chance of recovering a PIN in tens to hundreds of guesses.
A More Effective Zero-DCE Variant: Zero-DCE Tiny

The purpose of Low Illumination Image Enhancement (LLIE) is to improve the perception or interpretability of images taken in low illumination environments. This work inherits the work of Zero-Reference Deep Curve Estimation (Zero-DCE) and proposes a more effective image enhancement model, Zero-DCE Tiny. First, the new model introduces the Cross Stage Partial Network (CSPNet) into the original U-net structure, divides basic feature maps into two parts, and then recombines it through the structure of cross-phase connection to achieve a richer gradient combination with less computation. Second, we replace all the deep separable convolutions except the last layer with Ghost modules, which makes the network lighter. Finally, we introduce the channel consistency loss into the non-reference loss, which further strengthens the constraint on the pixel distribution of the enhanced image and the original image. Experiments show that compared with Zero-DCE++, the network proposed in this work is more lightweight and surpasses the Zero-DCE++ method in some important image enhancement evaluation indexes.
Components of psychological safety of the individual

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
Criterion of reflexivity in the psychology of a manager’s professional speech

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
Navigating the tensions of integrating lived experience in participatory healthcare design

Despite growing interest in participatory approaches to healthcare design, the integration of people’s lived experience—direct, first-hand understanding of a certain condition, situation, or identity—remains a key challenge to meaningful participation. Through an interview study with 23 patients, designers, family caregivers, and healthcare professionals involved in participatory healthcare design initiatives, the authors identify underlying tensions associated with leveraging lived experiences in healthcare design and investigate how existing strategies for integrating lived experience relate to these tensions. In doing so, this research offers insights for practitioners regarding ways of strategically navigating tensions when integrating people’s lived experience through design in complex healthcare contexts.
Central Bank Digital Currency and Financial Stability in a Dual Banking System

The digitization of payment and the development of private digital currencies have constrained central banks to examine the issuance of their own central bank digital currency (CBDC) in order to face the competition of the new peer-to-peer payment system and the decline of cash use. This chapter addresses the topic of CBDC and places the discussion within the context of dual banking intermediation and financial stability. The design of CBDC in term of accessibility, anonymity, interest rate, and payment mechanism depends on the cryptocurrency use and money characteristics regarding the use of cash and deposit. The CBDC Sharia compliant, free of interest or PLS-based, fulfilling money value stability might be a solution. The effects of CBDC on banking intermediation and financial stability depend importantly on the CBDC design and switch significance of banks deposit to CBDC but remain an open question given the pros and cons arguments. In a dual banking system, Islamic banks could limit the disintermediation effect and maintain financial stability under Sharia compliance.
Research on the interactive behaviour of pointing devices: Is the Magic Mouse easy to use?

This study focuses on the user's interaction behaviour between the touchpad and Magic Mouse using the macOS system to improve the notebook computer's experience. In task three (Opening Mission Control) performance, it was found that users using the trackpad performed statistically significantly better than those using the Magic Mouse. In addition, according to the NASA-TLX scale results, the touchpad's load value in the “Effort” dimension was significantly smaller than that of the Magic Mouse. In the end, we made four suggestions for the trackpad and Magic Mouse pointing device.
Building a Worldwide Freshwater Zooplankton Dataset to Synthesize Patterns of Zooplankton Community Structure and Change

Limnology and Oceanography BulletinVolume 31, Issue 4 p. 132-133 Community News Building a Worldwide Freshwater Zooplankton Dataset to Synthesize Patterns of Zooplankton Community Structure and Change Stephanie E. Figary, Stephanie E. Figary orcid.org/0000-0002-4876-9850 Department of Natural Resources and the Environment, Cornell University, Ithaca, NY, USASearch for more papers by this authorMichael F. Meyer, Michael F. Meyer orcid.org/0000-0002-8034-9434 U.S. Geological Survey, Madison, WI, USASearch for more papers by this authorWarren J. S. Currie, Warren J. S. Currie orcid.org/0000-0001-7050-1802 Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, Ontario, CanadaSearch for more papers by this authorZIG Participants, ZIG Participants Global Lake Ecological Observatory NetworkSearch for more papers by this author Stephanie E. Figary, Stephanie E. Figary orcid.org/0000-0002-4876-9850 Department of Natural Resources and the Environment, Cornell University, Ithaca, NY, USASearch for more papers by this authorMichael F. Meyer, Michael F. Meyer orcid.org/0000-0002-8034-9434 U.S. Geological Survey, Madison, WI, USASearch for more papers by this authorWarren J. S. Currie, Warren J. S. Currie orcid.org/0000-0001-7050-1802 Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, Ontario, CanadaSearch for more papers by this authorZIG Participants, ZIG Participants Global Lake Ecological Observatory NetworkSearch for more papers by this author First published: 01 September 2022 https://doi.org/10.1002/lob.10515Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume31, Issue4November 2022Pages 132-133 RelatedInformation