Work - Volume Pre-press, issue Pre-press

Authors: Tao, Hai | Arafatur Rahman, Md | AL-Saffar, Ahmed | Zhang, Renrui | Salih, Sinan Q | Zain, JasniMohamad | Al-Hajri, Al-Anood M.

Article Type: Research Article

Abstract: BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a crucial topic. The collaboration between robots and humans is increasing with the growth of Industry 4.0. Therefore, the first problem that must be solved is human-machine security. Ensuring the safety of human beings is one of the main aspects of human-robotic interaction. This is not just about preventing collisions within a shared space among human beings and robots; it includes all possible means of harm for an individual, from physical contact to unpleasant or dangerous psychological effects. OBJECTIVE: In this paper, Non-linear Adaptive …Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology. RESULTS: The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions. CONCLUSION: The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively. Show more

Keywords: Human-robot collaboration, psychology, cognitive science, collaborative robot

DOI: 10.3233/WOR-203419

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Jing, Wang | Tao, Hai | Rahman, MdArafatur | Salih, Sinan Q. | AL-Saffar, Ahmed | Zhang, Guangnan | Zhang, Renrui

Article Type: Research Article

Abstract: BACKGROUND: Human-Robot Interaction (HRI) has become a prominent solution to improve the robustness of real-time service provisioning through assisted functions for day-to-day activities. The application of the robotic system in security services helps to improve the precision of event detection and environmental monitoring with ease. OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data …operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process. RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset. CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall. Show more

Keywords: Monitoring, convolution neural networks, event detection, HRI, sensor data processing

DOI: 10.3233/WOR-203427

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Chen, Long | Sivaparthipan, C.B. | Rajendiran, Sowmipriya

Article Type: Research Article

Abstract: BACKGROUND: In recent years, social media have filtered our life both in the professional and personal aspects. Currently, most of us suffer from poor quality of thinking, which is due to the impact of social media towards our lives, particularly in the health care arena. OBJECTIVES: In this article, cultural tension due to social media creates an unwanted risk to the youngsters and others with sleep deprivation. They become dependent on staying dynamic via social networking sites media all the time. As indicated by an ongoing report, there is a reliable connection between the measure of time spent …via web-based networking media and depression among youthful grown-ups, which creates unprofessional problems and potential healthcare risk in individuals due to the usage of social media. RESULTS: This article speaks about the research gap and possible risks reforming strategies on healthcare communication in social media through statistical analysis. CONCLUSION: The experimental validation of case studies shows prominent solutions that have not been addressed in traditional methods. Show more

Keywords: Dynamic system, statistical analysis, health issues, data collection, social media

DOI: 10.3233/WOR-203428

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Jing, Wang | Tao, Hai | Rahman, MdArafatur | Kabir, Muhammad Nomani | Yafeng, Li | Zhang, Renrui | Salih, Sinan Q. | Zain, JasniMohamad

Article Type: Research Article

Abstract: BACKGROUND: Human-Computer Interaction (HCI) is incorporated with a variety of applications for input processing and response actions. Facial recognition systems in workplaces and security systems help to improve the detection and classification of humans based on the vision experienced by the input system. OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different …features are used for error classification and accuracy improvements. RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time. CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate. Show more

Keywords: Feature extraction, machine learning, HCI, classifier, processing time

DOI: 10.3233/WOR-203426

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Mengqi, Zhang | Xi, Wang | Sathishkumar, V.E. | Sivakumar, V.

Article Type: Research Article

Abstract: BACKGROUND: Nowadays, the growth of smart cities is enhanced gradually, which collects a lot of information and communication technologies that are used to maximize the quality of services. Even though the intelligent city concept provides a lot of valuable services, security management is still one of the major issues due to shared threats and activities. For overcoming the above problems, smart cities’ security factors should be analyzed continuously to eliminate the unwanted activities that used to enhance the quality of the services. OBJECTIVES: To address the discussed problem, active machine learning techniques are used to predict the quality …of services in the smart city manages security-related issues. In this work, a deep reinforcement learning concept is used to learn the features of smart cities; the learning concept understands the entire activities of the smart city. During this energetic city, information is gathered with the help of security robots called cobalt robots. The smart cities related to new incoming features are examined through the use of a modular neural network. RESULTS: The system successfully predicts the unwanted activity in intelligent cities by dividing the collected data into a smaller subset, which reduces the complexity and improves the overall security management process. The efficiency of the system is evaluated using experimental analysis. CONCLUSION: This exploratory study is conducted on the 200 obstacles are placed in the smart city, and the introduced DRL with MDNN approach attains maximum results on security maintains. Show more

Keywords: Cobalt robots, deep reinforcement learning, modular neural network, safe environment

DOI: 10.3233/WOR-203423

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Han, Meifeng | Zhang, Fuli | Ning, Ning | Zhou, Junwei | Shanthini, A. | Vivekananda, G.N.

Article Type: Research Article

Abstract: BACKGROUND: In recent years, several tracker systems have been developed to monitor a 3-dimensional skull position for facial action whereas, various tracker systems simultaneously analyze the single sequence of video, which can be provided with low-quality cameras and less security. Initially, implementing a 2-D face detector and an unrepentance system has been suggested; furthermore, it has been improved using an integrated 3-D face initialized scheme for the real-time tracker in the present face recognition systems. OBJECTIVES: To overcome the present setbacks of the conventional systems, Face Pose Detection assisted Controlled FACE++ tool position of Three-Dimensional Robot (FPLF3D) has …been proposed in this article. Furthermore, the suggested proposed configuration has a high-end monitoring approach, which is used to improve the reliability of the robot’s human-machine contact in the workplace environment for security assistance. Additionally, the robot’s direction can be controlled by the operator’s head position assessment of the camera (or any active viewing system) using a three-dimensional robot. RESULTS: Besides, the Applications that are imitated by headers like telepresence, computer-generated reality, and video competitions will directly take advantage of the strategies introduced in this paper. CONCLUSION: Finally, Real video tests at the lab-scale level show the accuracy and usefulness of the approaches proposed in this research outperform the existing methods used for tracking. Show more

Keywords: 3D recognition robot, security enhancement, human-machine contact, security

DOI: 10.3233/WOR-203422

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Serrano-Fernández, María-José | Boada-Grau, Joan | Boada-Cuerva, Maria | Vigil-Colet, Andreu

Article Type: Research Article

Abstract: Background: A worker’s work habits can affect their health, both physically and psychologically. Negative results have been associated with work demands (stress, anxiety and depression). Objective: In the present research we carried out a predictive Study of Work Addiction by applying three questionnaires on depression and anxiety. Methods: In this study, the participants were 332 workers, obtained through non-probabilistic sampling. The FACTOR (version 7.2) and SPSS 23.0 programs were used. Results: The results of the correlation analysis show both positive and negative associations with the variables studied. We conclude that Work Addiction variables can …predict anxiety and depression because we found that two variables predict 18.3%of depression and 20.3%of anxiety, which are feelings generated by work and excessive work. Conclusion: It can be concluded that feelings generated by work and excessive work predict anxiety and depression, thus the present research helps to broaden knowledge on Work Addiction, promoting a healthy lifestyle and prevent absenteeism. Show more

Keywords: Workaholism, health, stress, depression, anxiety

DOI: 10.3233/WOR-203411

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Gong, Suning | Dinesh Jackson Samuel, R. | Pandian, Sanjeevi

Article Type: Research Article

Abstract: BACKGROUND: For campus workplace secure text mining, robotic assistance with feature optimization is essential. The space model of the vector is usually used to represent texts. Besides, there are still two drawbacks to this basic approach: the curse and lack of semantic knowledge. OBJECTIVES: This paper proposes a new Meta-Heuristic Feature Optimization (MHFO) method for data security in the campus workplace with robotic assistance. Firstly, the terms of the space vector model have been mapped to the concepts of data protection ontology, which statistically calculate conceptual frequency weights by term various weights. Furthermore, according to the designs of …data protection ontology, the weight of theoretical identification is allocated. The dimensionality of functional areas is reduced significantly by combining standard frequency weights and weights based on data protection ontology. In addition, semantic knowledge is integrated into this process. RESULTS: The results show that the development of the characteristics of this process significantly improves campus workplace secure text mining. CONCLUSION: The experimental results show that the development of the features of the concept hierarchy structure process significantly enhances data security of campus workplace text mining with robotic assistance. Show more

Keywords: Text mining, security, ontology, semantic knowledge

DOI: 10.3233/WOR-203425

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Clemente, Miguel | Reig-Botella, Adela | de Lange, Annet | Detaille, Sarah

Article Type: Research Article

Abstract: BACKGROUND: Youth, unemployment and poverty confirm a set of situations that are often inseparable. An example of this is the case of young people from the Andean coca areas. OBJECTIVE: To develop and validate a psychological test that can be used as a predictor of adequate police performance for use in police force recruitment. METHODS: The study comprised a sample of 713 young people, who were selected to join a pre-police training program designed to allow them to subsequently join the Peruvian police force. A new 200-item instrument, called Nemesis, was created. Derogatis’ SCL-90 test was …administered to determine the validity of the new instrument. The suitability of the items for the future questionnaire was determined through factor analysis, which reduced the questionnaire to 14 items. Logistic regression was used to determine whether the items on the scale could predict possible admittance into the police training academy. RESULTS: A statistical regression analysis showed that the global percentage of correct predictions exceeded chance by almost 15%. Based on this analysis, the scale was determined to be valid. CONCLUSIONS: The proposed objective of verifying the psychometric properties of the Nemesis scale was fulfilled, as the scale has adequate reliability and validity. Show more

Keywords: Police recruitment selection, psychological testing, social exclusion, vocational selection, youth, unemployed

DOI: 10.3233/WOR-203403

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Fu, Hui | Zhang, Yahong | Subbareddy, Rama | Vadivel, Thanjai

Article Type: Research Article

Abstract: BACKGROUND: Employers must provide their workers with a safe working environment. Violence at the workplace is considered to pose risks for mental health. However, it is rarely investigated whether or not violence at the workplace in a setting can further increase the risk of mental disorders among employees. Risk assessment of workplace violence is still a major challenge for law enforcement, mental health, and other professionals. These critical and specific evaluations need an innovative approach. OBJECTIVES: In this paper, the Optimized Grey Dynamic System Theory (OGDST) is used to analyze work-related incidents and hazard assessment. The forecasting model …is built using annual data sets of work-related incidents. RESULTS: Research shows that aggressive psychological behavior often precedes the physical abuse of the workplace, whereas employers often ignore signs of warning even when identified by employees. Effectiveness tests demonstrate the efficiency of these suggested models. CONCLUSION: The results convey information supporting the conceptualization and assessment of models of workplace violence as a phenomenon arising from negative physical and psychological experiences of individuals at the workplace. Show more

Keywords: Dynamic system, psychological behavior, risk assessment, law enforcement

DOI: 10.3233/WOR-203417

Citation: Work, vol. Pre-press, no. Pre-press, pp. 1-9, 2021