This study evaluates ARIMA, Facebook Prophet and a new boosting algorithm framework known as ThymeBoost for time series prediction of monthly precipitation of Belagavi district (semi-arid) in Karnataka. The dataset wa...
详细信息
This study evaluates ARIMA, Facebook Prophet and a new boosting algorithm framework known as ThymeBoost for time series prediction of monthly precipitation of Belagavi district (semi-arid) in Karnataka. The dataset was divided into three periods (1901–2002, 1951- 2002, and 1971 - 2002). The first 70% of the data for each period was applied for training while the rest for testing. Also, the datasets were used in two different forms for both training and testing. In the first set, raw data was used as it is, and the second set of data was used after normalizing the time series using the min-max concept (between 0 and 1). However, the normalized data were de-normalized for each period for performance metrics estimation. ThymeBoost is the best model for the first period of raw data and the second period of normalized data. In contrast, Prophet outperforms all other models for the normalized data in terms of all four measures. For the second period of raw data, no model emerged as the best model in terms of all performance metrics. Therefore, all three models performed similarly for the third period of raw and normalized data.
Solid State Drives (SSDs) are widely used in various electronic devices and have gained a significant market share because SSDs do not have mechanical components, have fast access speeds and are less likely to be dama...
Solid State Drives (SSDs) are widely used in various electronic devices and have gained a significant market share because SSDs do not have mechanical components, have fast access speeds and are less likely to be damaged by external forces. To fulfill the functionalities of conventional storage devices, the limitations of SSDs become prominent and require the Flash Translation Layer (FTL) to manage the NAND flash memory. Nevertheless, the conventional FTL functions without the assistance of the host system, which leads to an information gap and decreased efficiency. Recently, the concept of open-channel SSD (OCSSD) has emerged to allow direct host control over SSD internals. Leveraging the concept of OCSSD, this paper proposes a host-assisted garbage collection enhancement mechanism to facilitate the efficiency of garbage collection through hot/cold data separation, and the proposed mechanism can effectively reduce the number of garbage collections by an average of 60.8%.
Blockchain is one of the most phenomenal innovations and becomes an attraction to be widely implemented in public health. Blockchain manages and accesses various data sets distributed across all users. It requires too...
详细信息
The first commercial products of 5G will be released within 2020 and therefore, it becomes an absolute necessity to research whether the key enabling technologies are advantageous for the operators to invest in. One o...
详细信息
We introduce a goal-aware extension of responsibility-sensitive safety (RSS), a recent methodology for rule-based safety guarantee for automated driving systems (ADS). Making RSS rules guarantee goal achievement—in a...
详细信息
ISBN:
(数字)9798350348811
ISBN:
(纸本)9798350348828
We introduce a goal-aware extension of responsibility-sensitive safety (RSS), a recent methodology for rule-based safety guarantee for automated driving systems (ADS). Making RSS rules guarantee goal achievement—in addition to collision avoidance as in the original RSS—requires complex planning over long sequences of manoeuvres. To deal with the complexity, we introduce a compositional reasoning framework based on program logic, in which one can systematically develop RSS rules for smaller subscenarios and combine them to obtain RSS rules for bigger scenarios. As the basis of the framework, we introduce a program logic dFHL that accommodates continuous dynamics and safety conditions. Our framework presents a dFHL-based workflow for deriving goal-aware RSS rules; we discuss its software support, too. We conducted experimental evaluation using RSS rules in a safety architecture. Its results show that goal-aware RSS is indeed effective in realising both collision avoidance and goal achievement.
We experimentally report on a real-time self-guided method to search for maximal CHSH violations between two observers sharing polarization entangled photon pairs using uncalibrated piezoelectric fiber squeezers as po...
One major goal of digital twin technology applied in the Architecture, engineering, and Construction (AEC) Industry is the mapping of roads and road environments with their associated information. Such digital twins c...
One major goal of digital twin technology applied in the Architecture, engineering, and Construction (AEC) Industry is the mapping of roads and road environments with their associated information. Such digital twins can support cost-effective testing, simulations, and the production of mapping backgrounds for automated vehicles and generally for Cooperative, Connected and Automated Mobility (CCAM) developments. The efficient workflow that leads from data acquisition to finished products depends on a number of requirements and knowledge sets. The main contribution of the paper is a general methodology of creating HD-map from point cloud and image data set. Accordingly, the most widely used survey techniques are presented and the requirements for the objects to be derived are summarized. The paper then outlines a general implementation procedure as an expert knowledge through a real-life example, where the results obtained for the ZalaZONE Automotive Proving Ground are demonstrated.
Personal Protective Equipment (PPE) regulations require construction workers to wear safety helmets to ensure site safety. However, monitoring PPE compliance consistently in fast-paced, dynamic construction environmen...
Personal Protective Equipment (PPE) regulations require construction workers to wear safety helmets to ensure site safety. However, monitoring PPE compliance consistently in fast-paced, dynamic construction environments poses a significant challenge. In response, we developed a sophisticated object detection system that automates the real-time verification of helmet use, thereby improving safety standards and reducing the likelihood of accidents. Extensive research was conducted to analyze all feasible algorithms that can be implemented in the safety helmet detection system and compare the proposed model with an existing one to ensure the proposed system can give high accuracy and high inference speed. Therefore, YOLOv5 was identified as the ideal choice in terms of accuracy and speed, and it was then enhanced with optimized transfer learning. We began our methodology by pre-training a comprehensive Kaggle dataset before refining the model using Roboflow on a specialized dataset. Using PyTorch and YOLOv5, we conducted exhaustive model training, testing, and evaluation. Our system achieved a lightning-fast inference speed of 39.8 milliseconds and a remarkable 91.4 percent accuracy in identifying helmet compliance. The implementation of such object detection technologies has the potential to significantly increase safety helmet compliance, thereby creating a safer environment for construction workers.
Gestures constitute an important form of nonverbal communication where bodily actions are used for delivering messages alone or in parallel with spoken words. Recently, there exists an emerging trend of WiFi sensing e...
详细信息
Due to the inherent limitations of solid state drives (SSDs), the garbage collection policy is a performance-critical design within the flash translation layer (FTL), designed to manage the internal limitations of SSD...
Due to the inherent limitations of solid state drives (SSDs), the garbage collection policy is a performance-critical design within the flash translation layer (FTL), designed to manage the internal limitations of SSDs and emulate the functionalities of conventional storage devices. To assist garbage collection, the concept of trim command has been designed and deployed by marking storage space as invalid and reducing the number of live-page copies during garbage collection. Nevertheless, conventional approaches usually utilize trim information during garbage collection, and the possibility of utilizing trim information during data allocation receives much less attention. Such an observation motivates this paper to propose a trim-assisted space allocation mechanism to lower the number of live-page copies from the source where the invalid space is produced. The experiments show promising results.
暂无评论