Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769352
E. Ballarini, L. Ciabattoni, D. Domenichelli, M. Domenichelli, G. Foresi, A. Monteriù
Nowadays, one of the keys for the success of ICT technologies, in particular in the e-Health realm, is “Usability”. Self-assessment questionnaires are the most diffuse procedure for its evaluation. However, this procedure presents various limitations (e.g., subjectivity, needs of expert supervisors, etc.). In this paper, a methodology based on emotion recognition, web analytics and gaze detection is developed in order to asses usability of e-Health web platforms objectively, automatically, remotely and in the wild.
{"title":"An Automated Procedure to Evaluate Usability of eHealth Platforms In The Wild","authors":"E. Ballarini, L. Ciabattoni, D. Domenichelli, M. Domenichelli, G. Foresi, A. Monteriù","doi":"10.1109/ZINC.2019.8769352","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769352","url":null,"abstract":"Nowadays, one of the keys for the success of ICT technologies, in particular in the e-Health realm, is “Usability”. Self-assessment questionnaires are the most diffuse procedure for its evaluation. However, this procedure presents various limitations (e.g., subjectivity, needs of expert supervisors, etc.). In this paper, a methodology based on emotion recognition, web analytics and gaze detection is developed in order to asses usability of e-Health web platforms objectively, automatically, remotely and in the wild.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769367
Juraj Ciberlin, R. Grbić, N. Teslic, M. Pilipovic
Modern vehicles are equipped with the different systems that help driver in the driving process ensuring safer and more comfortable driving. These systems are called Advanced Driver Assistance Systems (ADAS) and are step toward fully autonomous driving. The integral part of autonomous driving is an object detection and tracking by using front view camera which provides necessary information for emergency braking, collision avoidance, path planning, etc. In this paper, one possible approach to object detection and tracking in autonomous driving is presented. Two object detection methods are implemented and tested: Viola-Jones algorithm and YOLOv3. The Viola-Jones algorithm is used to create object detectors which detections are tracked in a video sequence. Nine object detectors were trained and they are divided into four groups (vehicle detectors, pedestrian detector, traffic light detector and traffic sign detectors). In second case, the YOLOv3 model was used for object detection. Both methods are evaluated in terms of accuracy and processing speed. For the purpose of object tracking, Median Flow tracking method and correlation tracking method are implemented and evaluated.
{"title":"Object detection and object tracking in front of the vehicle using front view camera","authors":"Juraj Ciberlin, R. Grbić, N. Teslic, M. Pilipovic","doi":"10.1109/ZINC.2019.8769367","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769367","url":null,"abstract":"Modern vehicles are equipped with the different systems that help driver in the driving process ensuring safer and more comfortable driving. These systems are called Advanced Driver Assistance Systems (ADAS) and are step toward fully autonomous driving. The integral part of autonomous driving is an object detection and tracking by using front view camera which provides necessary information for emergency braking, collision avoidance, path planning, etc. In this paper, one possible approach to object detection and tracking in autonomous driving is presented. Two object detection methods are implemented and tested: Viola-Jones algorithm and YOLOv3. The Viola-Jones algorithm is used to create object detectors which detections are tracked in a video sequence. Nine object detectors were trained and they are divided into four groups (vehicle detectors, pedestrian detector, traffic light detector and traffic sign detectors). In second case, the YOLOv3 model was used for object detection. Both methods are evaluated in terms of accuracy and processing speed. For the purpose of object tracking, Median Flow tracking method and correlation tracking method are implemented and evaluated.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769382
Jure Bajić, M. Herceg, Ivan Resetar, I. Velikic
In this paper, an algorithm for autonomous vehicle trajectory planning is proposed. The proposed algorithm consists of two parts. In the first part, transformation of given coordinates from Cartesian system to Frenet-Serret system is applied, along with interpolation of points in trajectory. In the second part, most efficient trajectory is being chosen and optimized. The algorithm was developed in Udacity’s simulator, where it was tested and compared with other similar algorithms. The algorithm shows promising performance through testing.
{"title":"Trajectory Planning for Autonomous Vehicle Using Digital Map","authors":"Jure Bajić, M. Herceg, Ivan Resetar, I. Velikic","doi":"10.1109/ZINC.2019.8769382","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769382","url":null,"abstract":"In this paper, an algorithm for autonomous vehicle trajectory planning is proposed. The proposed algorithm consists of two parts. In the first part, transformation of given coordinates from Cartesian system to Frenet-Serret system is applied, along with interpolation of points in trajectory. In the second part, most efficient trajectory is being chosen and optimized. The algorithm was developed in Udacity’s simulator, where it was tested and compared with other similar algorithms. The algorithm shows promising performance through testing.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125538774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769392
Filip Kulić, R. Grbić, B. Todorović, Tihomir Anđelić
Nowadays, we are trying to achieve as much vehicle autonomy as possible by developing Advanced Driver-Assistance Systems (ADAS). For such a system to make decisions, it should have insight into the environment of the vehicle, e.g. the objects surrounding the vehicle. During forward driving, the information about the objects in front of the vehicle is usually obtained by a front view in-vehicle camera. This paper describes the image classification method of the objects in the front of the vehicle based on deep convolutional neural networks (CNN). Such CNN is supposed to be implemented in embedded system of an autonomous vehicle and the inference should satisfy real-time constraints. This means that the CNN should be structured to have fast inference by reducing the number of operations as much as possible, but still having satisfying accuracy. This can be achieved by reducing the number of parameters which also means that the resulting network has lower memory requirements. This paper describes the process of realizing such a network, from image dataset development up to the CNN structuring and training. The proposed CNN is compared to the state-of-the-art deep neural network in terms of classification accuracy, inference speed and memory requirements.
{"title":"Classification of Objects Detected by the Camera based on Convolutional Neural Network","authors":"Filip Kulić, R. Grbić, B. Todorović, Tihomir Anđelić","doi":"10.1109/ZINC.2019.8769392","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769392","url":null,"abstract":"Nowadays, we are trying to achieve as much vehicle autonomy as possible by developing Advanced Driver-Assistance Systems (ADAS). For such a system to make decisions, it should have insight into the environment of the vehicle, e.g. the objects surrounding the vehicle. During forward driving, the information about the objects in front of the vehicle is usually obtained by a front view in-vehicle camera. This paper describes the image classification method of the objects in the front of the vehicle based on deep convolutional neural networks (CNN). Such CNN is supposed to be implemented in embedded system of an autonomous vehicle and the inference should satisfy real-time constraints. This means that the CNN should be structured to have fast inference by reducing the number of operations as much as possible, but still having satisfying accuracy. This can be achieved by reducing the number of parameters which also means that the resulting network has lower memory requirements. This paper describes the process of realizing such a network, from image dataset development up to the CNN structuring and training. The proposed CNN is compared to the state-of-the-art deep neural network in terms of classification accuracy, inference speed and memory requirements.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122096934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769348
I. Vidó, Ivana Škorić, Dominik Mitrović, M. Milosevic, M. Herceg
In this paper, a system which enables testing and faster development in automotive industry is proposed. The system enables testing in a very simple way, allowing for cost savings during testing and development, as well as raising security in a way that first tests are not to be performed on real roads, but are done in the laboratory. Automotive Machine Vision Grabber is a device whose purpose is capturing multiple video streams and saving them to hard disk drive. Captured streams could then be used for testing various ADAS algorithms used in automotive. This paper shows implementation of FPGA design, camera control system and PCIe interface. Furthermore, different tests were performed, while the obtained results are promising.
{"title":"Automotive Vision Grabber: FPGA design, cameras and data transfer over PCIe","authors":"I. Vidó, Ivana Škorić, Dominik Mitrović, M. Milosevic, M. Herceg","doi":"10.1109/ZINC.2019.8769348","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769348","url":null,"abstract":"In this paper, a system which enables testing and faster development in automotive industry is proposed. The system enables testing in a very simple way, allowing for cost savings during testing and development, as well as raising security in a way that first tests are not to be performed on real roads, but are done in the laboratory. Automotive Machine Vision Grabber is a device whose purpose is capturing multiple video streams and saving them to hard disk drive. Captured streams could then be used for testing various ADAS algorithms used in automotive. This paper shows implementation of FPGA design, camera control system and PCIe interface. Furthermore, different tests were performed, while the obtained results are promising.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123078998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769412
Ivan Benke, Bože Eugen Marković, Ivan Pavlović, M. Milosevic, R. Grbić
With the progress of automotive industry arose a need for development of fully autonomous vehicles. Such vehicle is equipped with sensors and cameras designed for monitoring its surroundings. Data received from these sensors is then processed in the vehicle’s embedded system which contains algorithms that help driver in a driving process and are a step towards a fully autonomous vehicle. Due to the problem complexity, these algorithms are usually based on machine learning methods and thus inherently require large amounts of data for successful training. Data used for training is mostly video content of situations from actual traffic. To record that video content specialized hardware and its accompanying software is needed. This paper focuses on developing software for existing AMV Grabber hardware board. Entire software stack was developed, from low-level application which controls the hardware directly, through device driver which enables communication between the board and PC, to PC application which enables users to control the hardware indirectly, i.e., to send commands to the board to start or stop recording. PC application is also used to receive data from the board and store it on non-volatile memory of the PC. Finally, measurements were done to display overall system performance.
{"title":"Software solution stack for data transfer on a frame grabber platform","authors":"Ivan Benke, Bože Eugen Marković, Ivan Pavlović, M. Milosevic, R. Grbić","doi":"10.1109/ZINC.2019.8769412","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769412","url":null,"abstract":"With the progress of automotive industry arose a need for development of fully autonomous vehicles. Such vehicle is equipped with sensors and cameras designed for monitoring its surroundings. Data received from these sensors is then processed in the vehicle’s embedded system which contains algorithms that help driver in a driving process and are a step towards a fully autonomous vehicle. Due to the problem complexity, these algorithms are usually based on machine learning methods and thus inherently require large amounts of data for successful training. Data used for training is mostly video content of situations from actual traffic. To record that video content specialized hardware and its accompanying software is needed. This paper focuses on developing software for existing AMV Grabber hardware board. Entire software stack was developed, from low-level application which controls the hardware directly, through device driver which enables communication between the board and PC, to PC application which enables users to control the hardware indirectly, i.e., to send commands to the board to start or stop recording. PC application is also used to receive data from the board and store it on non-volatile memory of the PC. Finally, measurements were done to display overall system performance.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-29DOI: 10.1109/ZINC.2019.8769433
Bruno Zoric, Mario Dudjak, Drazen Bajer, G. Martinović
Tracking of attendance is a ubiquitous task in many institutions and during organised events. This, along with subsequent management of collected data can be a cumbersome activity that requires significant time and effort, from all involved parties. Tracking and managing student attendance during lectures and exams is an especially important instance of that task. Automated attendance management systems devised in the literature differ in applied technological solutions and features. However, many of these lack some features that would make them particularly useful for the task of student attendance management. This paper proposes the design of an automatic system tailored for the tracking and management of student attendance data. The design incorporates three main components that interact to deliver a seamless user experience. The key element is the utilisation of simple beacons, which make the system cost-effective and easy to use. Combining them with a mobile platform and a web service enables versatile attendance tracking. Periodic detection of the nearby beacons with authenticated server-side logic makes the proposed design unique in terms of addressing common attendance tracking issues. Also, the design is open for future integration of sophisticated data analysis modules.
{"title":"Design and development of a smart attendance management system with Bluetooth low energy beacons","authors":"Bruno Zoric, Mario Dudjak, Drazen Bajer, G. Martinović","doi":"10.1109/ZINC.2019.8769433","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769433","url":null,"abstract":"Tracking of attendance is a ubiquitous task in many institutions and during organised events. This, along with subsequent management of collected data can be a cumbersome activity that requires significant time and effort, from all involved parties. Tracking and managing student attendance during lectures and exams is an especially important instance of that task. Automated attendance management systems devised in the literature differ in applied technological solutions and features. However, many of these lack some features that would make them particularly useful for the task of student attendance management. This paper proposes the design of an automatic system tailored for the tracking and management of student attendance data. The design incorporates three main components that interact to deliver a seamless user experience. The key element is the utilisation of simple beacons, which make the system cost-effective and easy to use. Combining them with a mobile platform and a web service enables versatile attendance tracking. Periodic detection of the nearby beacons with authenticated server-side logic makes the proposed design unique in terms of addressing common attendance tracking issues. Also, the design is open for future integration of sophisticated data analysis modules.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/ZINC.2019.8769387
Ioan Tache
This paper describes the field trials carried out in the Bucharest region in Romania for testing and analyzing the performance of the second generation of the Digital Video Broadcasting Terrestrial standard using the base profile for portable indoor reception. Test results are presented for the terrestrial broadcasted public programs of the Romanian National Television. The results consist of the values of the Carrier to Noise ratio, Modulation Error Rate and Link Margin in different geographical locations and receiving conditions. These values can update those provided by previous studies and provide planning tools for the Digital Terrestrial Television implementation using the second generation of the Digital Video Broadcasting Terrestrial standard. The results proved that the portable indoor reception in the Bucharest region for the Romanian National Television programs is possible, and this may be used to improve the end user experience with an additional television service to the existing cable or satellite television, since the digital terrestrial television has the advantage of mobility reception.
{"title":"Field Trial Results for Portable Indoor Reception of the DVB-T2 Base Profile","authors":"Ioan Tache","doi":"10.1109/ZINC.2019.8769387","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769387","url":null,"abstract":"This paper describes the field trials carried out in the Bucharest region in Romania for testing and analyzing the performance of the second generation of the Digital Video Broadcasting Terrestrial standard using the base profile for portable indoor reception. Test results are presented for the terrestrial broadcasted public programs of the Romanian National Television. The results consist of the values of the Carrier to Noise ratio, Modulation Error Rate and Link Margin in different geographical locations and receiving conditions. These values can update those provided by previous studies and provide planning tools for the Digital Terrestrial Television implementation using the second generation of the Digital Video Broadcasting Terrestrial standard. The results proved that the portable indoor reception in the Bucharest region for the Romanian National Television programs is possible, and this may be used to improve the end user experience with an additional television service to the existing cable or satellite television, since the digital terrestrial television has the advantage of mobility reception.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122625950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/ZINC.2019.8769381
Balaz Petrovic, I. Mezei
In this paper we present the design and implementation of an educational microprocessor named ZEdulent. It emerged as evolution of Edulent processor. ZEdulent is designed to be implemented on ZYNQ reconfigurable system on chip. Accordingly, it is tested on Digilent ZYBO development board. Software support running on Linux is designed in Qt framework with graphical user interface focusing educational goals. Hardware and software implementation details are given and compared to previous implementations.
{"title":"Educational microprocessor implementation on ZYNQ reconfigurable system on chip","authors":"Balaz Petrovic, I. Mezei","doi":"10.1109/ZINC.2019.8769381","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769381","url":null,"abstract":"In this paper we present the design and implementation of an educational microprocessor named ZEdulent. It emerged as evolution of Edulent processor. ZEdulent is designed to be implemented on ZYNQ reconfigurable system on chip. Accordingly, it is tested on Digilent ZYBO development board. Software support running on Linux is designed in Qt framework with graphical user interface focusing educational goals. Hardware and software implementation details are given and compared to previous implementations.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"59 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131093697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/ZINC.2019.8769391
Milica Vukelić, Svetlana Cizmic
The accelerated development of the IT sector has been reconfiguring the labour market by creating new jobs and by changing work environments. It has linked people from all continents, allowing them to communicate easily within a virtual world. Even though IT has brought obvious benefits, it has also brought some serious challenges related to employee wellbeing. In the last few years, we have faced some serious problems that emerged as a consequence of mismanaged technological interventions. They have led to blurring the line between work and private life. Employee availability has made never-ending workdays a fact of life. Some new work stressors, such as technostress and workplace cyberbullying, have emerged. Solving these problems is a momentous challenge for experts from various scientific fields. The scientific endeavours have to point to the ways in which technology could be brought back to the role of improving work performance in a way that would enhance human wellbeing and make employees enthusiastic about their future in the digital age.
{"title":"Employee wellbeing in the digital age","authors":"Milica Vukelić, Svetlana Cizmic","doi":"10.1109/ZINC.2019.8769391","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769391","url":null,"abstract":"The accelerated development of the IT sector has been reconfiguring the labour market by creating new jobs and by changing work environments. It has linked people from all continents, allowing them to communicate easily within a virtual world. Even though IT has brought obvious benefits, it has also brought some serious challenges related to employee wellbeing. In the last few years, we have faced some serious problems that emerged as a consequence of mismanaged technological interventions. They have led to blurring the line between work and private life. Employee availability has made never-ending workdays a fact of life. Some new work stressors, such as technostress and workplace cyberbullying, have emerged. Solving these problems is a momentous challenge for experts from various scientific fields. The scientific endeavours have to point to the ways in which technology could be brought back to the role of improving work performance in a way that would enhance human wellbeing and make employees enthusiastic about their future in the digital age.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127807936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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