| 1. |
- Maleki, Neda, et al.
(författare)
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DynaSens : Dynamic Scheduling for IoT Devices Sustainability
- 2022
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Ingår i: 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 20222022. - : IEEE. - 9781665485982
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things (IoT) have shown numerous potential applications that can enhance our quality of life. IoT is becoming a core technology to bring smart homes, smart cities, and smart industries into reality. However, with potential benefits comes a challenge of sustainability, and one major concern is to minimize energy consumption. In a citywide area, managing the operation of such large-scale IoT networking is one of the complex tasks. One of the ways is to utilize dynamic sensing scheduling where the IoT device goes to the sleep mode and prevents unnecessary data transmission. In this paper, we propose a dynamic sensing (DynaSens) algorithm for an IoT-based waste management system. This algorithm helps to reduce the waste bin overflowing, thus, provides better sanitation, and it is also helpful in reducing the fuel cost of waste collection vehicles. Our work utilizes measured values such as current consumption, LiDAR measurement time, and LoRa transmission time as the input data for the simulation experiment to evaluate energy consumption. We also assessed DynaSens using a real dataset obtained from a recycling house. We use Pycom LoPy4 micro-controller as a development board. For a number of garbage-thrown scenarios, DynaSens enables longer battery longevity by reducing the repeated execution of the same tasks. © 2022 IEEE.
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| 2. |
- Mohammadian, Mehrdad, et al.
(författare)
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Persis : A Persian Font Recognition Pipeline Using Convolutional Neural Networks
- 2022
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Ingår i: <em>2022 12th International Conference on Computer and Knowledge Engineering (ICCKE)</em>, Mashhad, Iran, Islamic Republic of. - : IEEE. ; , s. 196-204
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Konferensbidrag (refereegranskat)abstract
- What happens if we see a suitable font for our design work but we do not know its name? Visual Font Recognition (VFR) systems are used to identify the font typeface in an image. These systems can assist graphic designers in identifying fonts used in images. A VFR system also aids in improving the speed and accuracy of Optical Character Recognition (OCR) systems. In this paper, we proposed the first publicly available datasets in the field of Persian font recognition and employed Convolutional Neural Networks (CNN) to address the Persian font recognition problem. The results show that the proposed pipeline obtained 78.0% top-1 accuracy on our new datasets, 89.1% in the IDPL-PFOD dataset, and 94.5% in the KAFD dataset. Furthermore, the average time spent in the entire pipeline for one sample of our proposed datasets is 0.54 and 0.017 seconds for CPU and GPU, respectively. We conclude that CNN methods can be used to recognize Persian fonts without the need for additional pre-processing steps such as feature extraction, binarization, normalization, etc.
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| 3. |
- Musaddiq, Arslan, et al.
(författare)
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Internet of Things for Wetland Conservation using Helium Network : Experience and Analysis
- 2022
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Ingår i: 12th International Conference on the Internet of Things, IoT 2022, Delft 7 - 10 November 2022. - New York, NY, USA : ACM Digital Library. - 9781450396653 ; , s. 143-146
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things (IoT), as a new paradigm of connected things or objects to the Internet, allows us to monitor the environment by collecting data in a wide spatial and temporal window. Especially the utilization of IoT has increased significantly since the development of the Long Range Wide Area Network (LoRaWAN). However, deploying LoRa gateways, maintaining network infrastructure, operational cost, and quality of service are challenging. Helium has emerged as one of the largest networks in terms of coverage for IoT devices to solve such problems. Helium is decentralized, cryptocurrency incentives-based network infrastructure replacing traditional service providers. However, due to network incentives, currently, it contains more hotspots compared to active users. This paper presents our experience and analysis of deploying IoT devices for real-world applications using the Helium network. We present experiences from the IoT device’s deployment for wetland conservation in southern Sweden.
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| 4. |
- Palma, Francis, et al.
(författare)
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Investigating the Linguistic Design Quality of Public, Partner, and Private REST APIs
- 2022
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Ingår i: Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. - : IEEE. - 9781665481465 ; , s. 20-30
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Konferensbidrag (refereegranskat)abstract
- Application Programming Interfaces (APIs) define how Web services, middle-wares, frameworks, and libraries communicate with their clients. An API that conforms to REpresentational State Transfer (REST) design principles is known as REST API. At present, it is an industry-standard for interaction among Web services. There exist mainly three categories of APIs: public, partner, and private. Public APIs are designed for external consumers, whereas partner APIs are designed aiming at organizational partners. In contrast, private APIs are designed solely for internal use. The API quality matters regardless of their category and intended consumers. To assess the (linguistic) design of APIs, researchers defined linguistic patterns (i.e., best API design practices) and linguistic antipatterns (i.e., poor API design practices.) APIs that follow linguistic patterns are easy to understand, use, and maintain. In this study, we analyze and compare the design quality of public, partner, and private APIs. More specifically, we made a large survey by analyzing and performing the detection of nine linguistic patterns and their corresponding antipatterns on more than 2,500 end-points from 37 APIs. Our results suggest that (1) public, partner, and private APIs lack quality linguistic design, (2) among the three API categories, private APIs lack linguistic design the most, and (3) end-points are amorphous, contextless, and non-descriptive in partner APIs. End-points have contextless design and poor documentation regardless of the API categories.
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| 5. |
- Zapico, Jorge Luis, et al.
(författare)
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Insect biodiversity in agriculture using IoT : opportunities and needs for further research
- 2022
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Ingår i: IEEE Global Communications Conference, 7-11 December 2021, Madrid, Spain. - : IEEE. - 9781665423908 - 9781665423915 ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- Recent research points out an alarming decline in insect biodiversity and biomass. Changing agriculture practices, together with climate change, are a main driver behind this decline. Biodiversity interventions in agriculture can therefore play an important role for insect conservation. Validating the impact of such interventions is limited by expertise and labor intensive methods, and there is a growing number of projects exploring how IoT could help. For instance using remote sensors to capture insect images and sound fingerprints non-intrusively, and machine learning models to automatically classify the obser- vation in different taxa. This article will: (a) explore recent advances in Internet of Things, Edge ML and LPWAN technologies and their application for monitoring insect biodiversity; (b) discuss opportunities, needs and ideas for validating the impact of biodiversity inter- ventions in agriculture using these technologies; and (c) outline future research opportunities.
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