The recommender system is widely used in the field of e-commerce and plays an important role guiding customers to make smart decisions. Although many algorithms are available system, collaborative filtering still one most successful recommendation technologies. In filtering, similarity calculation main issue. order improve accuracy quality recommendations, we proposed improved model, which takes three impact factors into account minimize deviation calculation. Compared with traditional...

Drone-view object detection (DroneDet) models typically suffer a significant performance drop when applied to nighttime scenes. Existing solutions attempt employ an exposure-adjustment module reveal objects hidden in dark regions before detection. However, most are only optimized for human perception, where the exposure-adjusted images may not necessarily enhance recognition. To tackle this issue, we propose novel Detection-driven Exposure-correction network DroneDet, called DEDet. The DEDet...

Our goal is to identify the key architectural and design issues related Sensor Networks (SNs), evaluate proposed solutions, outline most challenging research directions. The evaluation has three scopes ndividual components on SN nodes (processor, communication, storage, sensors, actuators, power supply), node level networked system level. special emphasis placed architecture software, new challenges usage of types in systems. guided by anticipated technology trends both current future...

Benefiting from the advances in object detection remote sensing, detecting objects images captured by drones has achieved promising performance recent years. However, drone-view rainy weather conditions (Rainy DroneDet) remains a challenge, as small-sized blurred rain streaks offer little valuable information for robust detection. In this paper, we propose Collaborative Deraining Network called “CoDerainNet”, which simultaneously and interactively trains deraining subnetwork droneDet to...

We have developed statistical error modeling techniques for acoustic signal detection-based ranging measurements in the framework of wireless ad-hoc sensor networks (WASNs). The models are used as basis solving location discovery problem networks. first demonstrate that major difficulty is how to treat errors by proving presence noisy a NP-complete problem, even onedimensional space. Consequently, we formulate an instance nonlinear function minimization optimizes each empirically derived...

The ancient site of Han Chang'an City is one the most valuable and significant cultural heritages in China attracts more attentions around world. In this paper, a virtual wandering system proposed, combined with information recommendation technology system. First, Unity3D selected as three-dimensional platform to design scenario model Chang' an City, according real history materials; then, collaborative filtering method introduced recommend hot topic personalized customers interests help...

Calibration is the process of identifying and correcting for systematic bias component error in sensor measurements. Traditionally, calibration has usually been conducted by considering a set measurements single time frame restricted to linear systems with assumption equal-quality sensors modality. The basis new procedure construct statistical model that captures characteristics measurement errors. Such an can be constructed either off-line or on-line. It derived using nonparametric kernel...

Abstract This article presents a roaming system of Han Chang’an City, with both virtual reality (VR) technology and information recommendation technology. Nowadays, some new research issues in the cultural heritage domain can be achieved rapid development VR The ancient site as one most valuable significant heritages China, attracts more attention around world. To let people understand City reproduce its beauty, this article, we propose combined First, Unity3D is selected three-dimensional...

We have developed an on-line calibration scheme that employs a single source as the external stimulus creates differential sensor readings used for calibration. The technique utilizes maximal likelihood principle and nonlinear system optimization solver to derive function of arbitrary complexity accuracy. approach is intrinsically localized we present two variants: i) one where only neighboring sensors communicate in order conduct calibration; ii) provably minimum amount communication...

Calibration is the process of identifying and correcting for systematic bias component error in sensor measurements. On-line in-field measurement calibration particularly crucial since manual expensive sometimes infeasible. We have developed an on-line modeling technique, which a generalization problem, that relies on small number inaccurate sensors with known distributions to develop models deployed sensors. demonstrate applicability our transitive technique evaluate its performance various...

Han Chang'an City is the first cosmopolitan city and was largest metropolis at that time in world. As well known for center of nationality culture, has been considered as famous culture heritage plays an important role exploring 5000 years history China. With purpose reviving glories City, model reconstruction, navigation system user interaction with technique virtual scene were performed this paper. In system, Unity3D chosen 3D platform, Max used to scene, JavaScript C# are programming...

Calibration is the process of identifying and correcting most likely error in sensor measurements. The basis for authors' calibration procedure to construct a statistical model that captures characteristics measurement errors. Such an can be constructed either offline or online derived using nonparametric kernel-density-estimation techniques. Models various forms kernel smoothing functions are compared evaluation methods. Based on selected model, they propose four alternatives make...

Abstract In order to minimize the impact of errors and uncertainties that arise from signals received by reconnaissance equipment airborne radar on emitter threat evaluation, reduce such evaluation’s dependence parameters, predict better extent which an air-battle target is posing a threat, paper examined dynamic characteristics behavioral perspective using data-fusion-based evaluation. It was followed shift concrete description complicated situation abstract one, proposed algorithm’s fault...