A stable power supply is very important in the management of infrastructure. One critical tasks accomplishing this to predict consumption accurately, which usually requires considering diverse factors, including environmental, social, and spatial-temporal factors. Depending on prediction scope, building type can also be an factor since same types buildings show similar patterns. university campus consists several types, a laboratory, administrative office, lecture room, dormitory. temporal...

The Internet of Things (IoT) is a platform that manages daily life tasks to establish an interaction between things and humans. One its applications, the smart office uses monitor electrical appliances sensor data using automation system, presented in this study. Some limitations existing system are unfriendly user interface, lack IoT technology, high cost, or restricted range wireless transmission. Therefore, paper presents design fabrication IoT-based with user-friendly smartphone...

Cloud computing paradigm is growing rapidly, and it allows users to get services via the Internet as pay‐per‐use convenient for developing, deploying, accessing mobile applications. Currently, security a requisite concern owning open distributed nature of cloud. Copious amounts data are responsible alluring hackers. Thus, developing efficacious IDS an imperative task. This article analyzed four intrusion detection systems attacks. Two standard benchmark datasets, namely, NSL‐KDD UNSW‐NB15,...

Reviewing the literature to understand relevant threads of past work is a critical part research and vehicle for learning. However, as scientific grows challenges users find make sense many different grow well. Previous has helped scholars group papers with citation information or textual similarity using standalone tools overview visualizations. Instead, in this we explore tool integrated into users' reading process that helps them leveraging authors' existing summarization threads,...

One key issue for stable power supply is to forecast electric load accurately. Since buildings of the same type show similar consumption patterns, it should be considered accurate forecast. In particular, university various loads depending on time and other external factors. this paper, we propose a short-term model educational using 2-stage predictive analytics effective operation their system. To do that, collect data five years from campus. Next, consider pattern by moving average method...

Lung abnormality in humans is steadily increasing due to various causes, and early recognition treatment are extensively suggested. Tuberculosis (TB) one of the lung diseases, its occurrence rate harshness, World Health Organization (WHO) lists TB among top ten diseases which lead death. The clinical level detection usually performed using bio-medical imaging methods, a chest X-ray commonly adopted modality. This work aims develop an automated procedure detect from images VGG-UNet-supported...

As a variety of video surveillance devices such as CCTV, drones, and car dashboard cameras have become popular, numerous studies been conducted regarding the effective enforcement security based on analysis. In particular, in car-related surveillance, tracking is most challenging task. One early approach to accomplish task was analyze frames from different sources separately. Considering shooting range bulk devices, outcome analysis single source highly limited. To obtain more comprehensive...

In location-based social Q&A, the questions related to a local community (e.g. services and places) are typically answered by residents (i.e. who have knowledge). this work, we wanted deepen our understanding of localness knowledge sharing through investigating topical typological patterns geographic characteristics, locality user activities, motivations sharing. To end, analyzed 12-month period Q&A dataset from Naver KiN "Here" supplementary survey 285 mobile users. Our results revealed...

In this paper, a surface micromachined high-Q planar transmission line is presented. The proposed structure half-coaxial on quartz substrate. has 100-mum air gap between the center conductor and ground plane. unloaded quality factor extracted from an experimental resonator was 153 at 32 GHz. can be easily integrated with other components chip used to partially isolate components, e.g., microwave filter. A three-pole 5% fractional bandwidth filter centered 31.75 GHz Chebyshev response been...

As the demand for real-time data processing increases, a high-speed platform large-scale stream becomes necessary. For fast data, it is essential to use multiple distributed nodes. So far, there have been few studies on massive image through efficient management and allocation of heterogeneous resources various user-specified nodes environments. In this paper, we shall present new called RIDE (Real-time Image Distributed Environment) which efficiently allocates executes load balancing...

Recently, as the amount of real-time video streaming data has increased, distributed parallel processing systems have rapidly evolved to process large-scale data. In addition, with an increase in scale computing resources constituting system, orchestration technology become crucial for proper management resources, terms allocating setting up a programming environment, and deploying user applications. this paper, we present new platform image based on deep learning model inference, called...

Currently, worldwide industries and communities are concerned with building, expanding, exploring the assets resources found in oceans seas. More precisely, to analyze a stock, archaeology, surveillance, several cameras installed underseas collect videos. However, on other hand, these large size videos require lot of time memory for their processing extract relevant information. Hence, automate this manual procedure video assessment, an accurate efficient automated system is greater...

The 90-9-1 rule is widely applied to online communities describe a phenomenon of participation inequality [4]. states that 90% users are "lurkers" who do not contribute, 9% those contribute from time time, and only 1% participants highly active in the community make most contributions. question is: how can we motivate inactive contribute? Previous research has shown altruism one influential reasons for contributors participate [3, 10]. We present new approach promote by capitalizing on...

We present Mobile Observatory, a mobile air quality monitoring application that provides evaluation of the city Zurich, Switzerland. As Observatory utilizes data gathered by sensors mounted on around 10 trams in it is able to provide neighborhood-level information within city. In this paper, we introduce Observatory. Also, describe user study with participants and show our preliminary results hopes yielding insights toward improving civic urban engagement quality.

Recently, Internet of Things (IoT) technology has become a hot trend and is used in wide variety fields. For instance, education, this contributes to improving learning efficiency the class by enabling learners interact with physical devices providing appropriate content based on interaction. Such interaction data can be collected through define personal data. In meanwhile, multimedia contents environment usually have formats standards, making it difficult for computers understand their...

최근 수자원확보 방안으로 강변여과수를 활용하는 방식이 적용되고 있으나 취수원의 철/망간 함량이 높아 다양한 문제가 야기되고 있다. 이에 경기도 평택시와 안성시에 위치한 안성천 강변여과수 개발 Test Bed에서 주입 산소수의 산소농도와 주입량을 변화시키면서 지중제거의 효과 및 효율을 평가하였다. 철/망간의 제거시험은 3단계로 이루어지며 주입단계, 정지단계, 양수단계를 반복적으로 수행하였다. 현장시험 결과 Fe²⁺ 농도는 양수기간 동안 0.3 mg/L 이하를 유지하였으며 망간은 0.8 이하로 농도가 저감되었다. 또한, 주입-양수시험을 반복할수록 철의 먹는물 수질기준(0.3 이하)을 만족하는 양수량이 증가하였으며, 산소수 주입량의 최대 5배 이상 양수가 가능하였다. 망간의 경우 철과 동일한 기준까지 감소되지는 않았으나, 양수에 따라 저감되는 경향성을 보였다. Riverbank filtration has been suggested as a...

Intelligent surveillance cameras with artificial intelligence (AI)-based video analytic function have become pervasive in recent years. They hold the promise of bringing high fidelity, contextually rich sensing into our home town and workplaces as a means making life smarter safer. Despite remarkable indisputable advances, AI are still limited proper convolutional neural networks (CNNs) model, more importantly, do not easily design robust system architecture between edge device (cloud)...

Internet of Things (IoT) and blockchain receive significant interest owing to their applicability in different application areas such as healthcare, finance, transportation, etc. Medical image security privacy become a critical part the healthcare sector where digital images related patient details are communicated over public networks. This paper presents new wind driven optimization algorithm based medical encryption (WDOA-MIE) technique for enabled IoT environments. The WDOA-MIE model...

Traditional NIE (Newspaper in Education), which is the study of how to utilize any educational resources newspaper classroom, has been studied for a long time. However, it one-way interaction characteristic and available media are limited. In addition, difficulty capturing latest "hot" issues or recognizing public opinions. this paper, we propose platform called TNIE (Twitter News Education) that utilizes Twitter news education. many advantages compared traditional NIE: (i) provides...

Gaussian process regression (GPR) is proposed as a tool of long-term groundwater quality predictions. The major advantage GPR that both prediction and the related uncertainty are provided simultaneously. To demonstrate applicability tool, conventional non-parametric trend analysis comparatively applied to synthetic examples. From application, it has been found shows better performance compared method, especially when data typical non-linear trend. model further employed predictions based on...

Recent learning-based Multi-View Stereo models have demonstrated state-of-the-art performance in sparse-view 3D reconstruction. However, directly applying Gaussian Splatting (3DGS) as a refinement step following these presents challenges. We hypothesize that the excessive positional degrees of freedom (DoFs) Gaussians induce geometry distortion, fitting color patterns at cost structural fidelity. To address this, we propose reprojection-based DoF separation, method distinguishing DoFs terms...

In this paper we present a hybrid model for real-time query processing over data stream collected by mobile air quality sensors. First, introduce novel indexing scheme representing and use it generating evaluating static yearly dataset. Then, is combined with dynamic nearest-neighbor approach updates, implemented into the Global Sensor Network (GSN) middleware, added support queries.