System Detects(系统检测)研究综述
System Detects 系统检测 - This system detects the violation of traffic signals which can be combined with speed estimation to check for the over speed, and this information is sent to the database where the necessary actions can be taken against those who are violating the rules by the concerned authorities. [1] Next, features are extracted from eye images using several transforms and finally, the system detects if there is fatigue or not using a SVM as classifier. [2] Using item identification method, the system detects any object in the image with outlined rectangular boxes and classify each object in the image and place its tag with these methods and algorithms through the deep learning machines. [3] The test shows that the greater the data collection distance (vertical and horizontal), the longer the system detects the presence of the Qr Code. [4] If the system detects that the user is skipping out on these tasks, ActiviX reminds the user to complete them. [5] Given multiple pitching video sequences, this system detects and tracks the ball to construct ball trajectories. [6] The system detects the tip of a catheter by binarization and delineation from X-ray images taken from two directions (frontal and lateral views) and calculates the tip coordinates of the catheter in the 3D model of blood vessels generated using VTK from DICOM images. [7] The system detects the temperature and humidity in the grain depot in real time through the DHT11 temperature and humidity sensor, and sends the collected temperature and humidity to the SCM through the serial bus, and the SCM displays the temperature and humidity through the LCD display circuit. [8] For the lane changing system, the system detects or tracks the lane lines and detects the vehicles on all sides of a test vehicle. [9] Another disadvantage is that shаdоw produced by vehicles on different lanes of the road causes a commotion, and the system detects the shаdоw as а different objeсt and creates а bounding bоx оvеr it. [10] If such a system detects a sufficiently serious pathogen, public health agencies would send out diagnostic tests to all residents in the affected geographical area(s) within weeks and isolate those who test positive. [11] When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted. [12] So the system detects a person in the environment, keeps tracking the person, and calculates the optical flow in case of a fall. [13] This system detects the position of the observer’s fingertip with a motion sensor, which it uses to calculate the complex amplitude distribution for the hologram. [14] In this paper, with the help of Convolutional Neural Network (CNN), the system detects and captures the distracted moments of the driver from proper driving gestures automatically in the form of 2D image. [15]该系统检测交通信号的违规情况，可以与速度估计相结合以检查超速情况，并将此信息发送到数据库，在该数据库中，有关当局可以对违反规则的人采取必要的行动。 [1] 接下来，使用多种变换从眼睛图像中提取特征，最后，系统使用 SVM 作为分类器检测是否存在疲劳。 [2] 使用物品识别方法，系统检测图像中带有轮廓矩形框的任何对象，并通过深度学习机器使用这些方法和算法对图像中的每个对象进行分类并放置其标签。 [3] 测试表明，数据采集距离（垂直和水平）越大，系统检测到二维码存在的时间越长。 [4] 如果系统检测到用户正在跳过这些任务，ActiviX 会提醒用户完成它们。 [5] 给定多个投球视频序列，该系统检测并跟踪球以构建球轨迹。 [6] 该系统通过对从两个方向（正面和侧面视图）拍摄的 X 射线图像进行二值化和勾画来检测导管尖端，并在使用 DICOM 图像中的 VTK 生成的血管 3D 模型中计算导管尖端坐标。 [7] 系统通过DHT11温湿度传感器实时检测粮库内的温湿度，将采集到的温湿度通过串行总线发送给单片机，单片机通过液晶显示电路显示温湿度. [8] 对于变道系统，系统检测或跟踪车道线并检测测试车辆四周的车辆。 [9] 另一个缺点是道路不同车道上的车辆产生的阴影会引起骚动，系统会将阴影检测为不同的对象并在其上创建一个边界框。 [10] 如果这样的系统检测到足够严重的病原体，公共卫生机构将在几周内向受影响地理区域的所有居民发送诊断测试，并隔离那些测试呈阳性的人。 [11] 当系统检测到驾驶员昏昏欲睡时，会向附近其他车辆的驾驶员发出警报。 [12] 因此，系统会检测到环境中的人，并持续跟踪此人，并在跌倒时计算光流。 [13] 该系统使用运动传感器检测观察者指尖的位置，并使用该传感器计算全息图的复振幅分布。 [14] 在本文中，在卷积神经网络 (CNN) 的帮助下，系统以 2D 图像的形式自动从正确的驾驶手势中检测和捕捉驾驶员的分心时刻。 [15]
Proposed System Detects 建议的系统检测
Experimental results show that our proposed system detects fall accidents during cycling status with 95. [1] They also show that the proposed system detects 70% of rolling-over movements made overnight. [2] The proposed system detects the soil’s moisture content and temperature. [3] The proposed system detects the hand with the help of skin color and motion information. [4] The proposed system detects the moments of transition from one to another activity and prompts the users to annotate their data. [5] Our proposed system detects an actual malicious memory region in the virtual address space of an infected process. [6] Our proposed system detects any change in fuel level of a fuel tank using ultrasonic sensor and with the integration of GSM module, the message regarding the change in fuel level and the location of the vehicle (detected using GPS) is sent to the owner or the management. [7] The proposed system detects both surface and sub-surface welding defects operating autonomously and integrated with a robotized arm. [8] In this way, the proposed system detects a disease from the given input image. [9] In this paper, the proposed system detects the potholes using You Only Look Once version 2(YOLOv2) and a convolutional neural network (CNN). [10] The proposed system detects the DDoS attack and malware with high detection accuracy using machine learning algorithms. [11] The proposed system detects a broad range of security bugs across a wide range of platforms and hardware architectures. [12] The proposed system detects the object and identifies the anomalous activity near the door by applying Convolutional Neural Network. [13] The proposed system detects and tracks vessels per camera view and employs a re-identification (re-ID) function for linking vessels between the two cameras based on multiple bounding-box images per vessel. [14] The proposed system detects these lizards in drone images using a type of machine learning called deep neural network. [15] Moreover, our proposed system detects loop closure with feature-based bag-of-words (BoW) method on a low resolution level, which makes the loop closure detection achieve realtime. [16] The proposed system detects the attacker and sends the information such as IP address, access time and date to the user. [17] The proposed system detects the various kind of DDoS attacks such as TCP SYN flood, TCP SYN ACK, LAND, UDP and ICMP flood and provides high detection accuracy and high alert reduction by correlating the cloud parameters such as source address, destination address, port and subnet. [18] This Proposed system detects the sleep disorder through the EEG signals using by deep learning techniques (Alex net, Google net) in which EEG signals are used as inputs to a deep convolution network to solve visual recognition tasks. [19] The proposed system detects critical driving conditions, or any emergency situation blocking the road, and broadcasts remote warnings to the following vehicles. [20] The proposed system detects pixels corresponding to the specular highlight region in the HSI color space through a newly defined classification table. [21] The proposed system detects motion winners and suspicious vehicles around nuclear power plants by using object detection technology using thermal imaging cameras and autonomous flight technology and also measures radiation levels and temperature data using Geiger counters and temperature sensors. [22] This proposed system detects the disease like cotton wool spot, lesion quickly, and classifies the development region in various iris images to handle in this system. [23] Our proposed system detects harmful gas elements and higher decibels of noise through the embedded sensors integrated with the microcontroller. [24] The proposed system detects the air quality and displays it in the web page by using internet. [25] The proposed system detects the traffic board or traffic signals, capture its image which through deep learning approach recognizes the same to give result on dashboard as well it gives the measures of distance from front obstacle which helps to implement brake system if obstacle is near. [26] The simulation results proved that the proposed system detects the conventional as well as RPL specific attacks precisely version number and rank attacks in healthcare IoT systems with higher accuracy and detection rate. [27] The proposed system detects the delimitation and debonding in composite concrete structures: more specifically, develop an IoT-Based Non-Destructive Test (NDT) to detect debonding between Carbon Fiber sheets and Concrete slabs. [28] Our proposed system detects 93. [29] The proposed system detects dangerous driving actions and generates real-time alarms using off-the-shelf smartphones. [30]实验结果表明，我们提出的系统在骑行状态下以 95 检测跌倒事故。 [1] 他们还表明，所提议的系统可以检测到 70% 的夜间翻车运动。 [2] 拟议的系统检测土壤的水分含量和温度。 [3] 所提出的系统在肤色和运动信息的帮助下检测手部。 [4] 建议的系统检测从一个活动到另一个活动的过渡时刻，并提示用户注释他们的数据。 [5] 我们提出的系统在受感染进程的虚拟地址空间中检测到一个实际的恶意内存区域。 [6] 我们提出的系统使用超声波传感器检测油箱油位的任何变化，并通过集成 GSM 模块，将有关油位变化和车辆位置（使用 GPS 检测）的消息发送给车主或管理。 [7] 所提出的系统可检测表面和次表面焊接缺陷，自主操作并与机器人手臂集成。 [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] nan [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24] nan [25] nan [26] nan [27] nan [28] nan [29] 所提出的系统检测危险驾驶行为并使用现成的智能手机生成实时警报。 [30]
My System Detects 我的系统检测到
Methods: Our system detects three genes: RNA-dependent RNA polymerase (RdRp), envelope (E) and nucleocapsid (N), while the b-actin gene was used as an endogenous internal control. [1] Our system detects three genes—RNA-dependent RNA polymerase (RdRp), envelope (E) and nucleocapsid (N)—and uses the β-actin gene as an endogenous internal control. [2] Our system detects fault signatures accurately at any voltage or current levels, whether it is delta or star connected motors. [3] Our system detects 1 colony-forming unit (CFU) per Liter within 9 h of total test time. [4] Our system detects target DNA through restoration of QD emission as the restored signal increases directly with target DNA concentrations. [5] Our system detects IO accounts with 96% precision, 79% recall, and 96% area-under-the precision-recall (P-R) curve; maps out salient network communities; and discovers high-impact accounts that escape the lens of traditional impact statistics based on activity counts and network centrality. [6] Our system detects bacteria in 20 min with a sensitivity of approximately 104 colony-forming units (CFU)·mL−1. [7]方法：我们的系统检测三个基因：RNA 依赖性 RNA 聚合酶 (RdRp)、包膜 (E) 和核衣壳 (N)，而 b-actin 基因用作内源性内部对照。 [1] 我们的系统检测三个基因——RNA 依赖性 RNA 聚合酶 (RdRp)、包膜 (E) 和核衣壳 (N)——并使用 β-肌动蛋白基因作为内源性内部对照。 [2] 我们的系统可以在任何电压或电流水平下准确检测故障特征，无论是三角形还是星形连接的电机。 [3] nan [4] nan [5] nan [6] nan [7]
Immune System Detects 免疫系统检测
Recognition of foreign or misplaced nucleic acids is one of the principal modes by which the immune system detects pathogenic entities. [1] The host immune system detects these proteins to develop antibodies that neutralize and prevent the infection. [2] The innate immune system detects pathogens and initiates adaptive immune responses. [3]识别外来或错位的核酸是免疫系统检测致病实体的主要模式之一。 [1] 宿主免疫系统检测这些蛋白质以产生中和和预防感染的抗体。 [2] nan [3]
Monitoring System Detects 监控系统检测
An exploratory online survey assessed the perceived risk and reasonableness associated with driving distractions as well as the perceived fairness of potential consequences when a driver monitoring system detects distractions under either manual driving or Level 2 automated driving. [1] The proposed IoT-DO monitoring system detects information data from the aquaculture pond environment. [2]一项探索性在线调查评估了与驾驶分心相关的感知风险和合理性，以及当驾驶员监控系统在手动驾驶或 2 级自动驾驶下检测到分心时潜在后果的感知公平性。 [1] 拟议的 IoT-DO 监测系统检测来自水产养殖池塘环境的信息数据。 [2]
Surveillance System Detects 监控系统检测
The Chad Guinea Worm Eradication Program (CGWEP) surveillance system detects and monitors Guinea worm disease in both humans and animals. [1] Constitutive activity of the immune surveillance system detects and kills cancerous cells, although many cancers have developed strategies to avoid detection and to resist their destruction. [2]乍得几内亚蠕虫根除计划 (CGWEP) 监测系统检测和监测人类和动物体内的几内亚蠕虫病。 [1] 免疫监视系统的组成活动检测并杀死癌细胞，尽管许多癌症已经制定了避免检测和抵抗其破坏的策略。 [2]
Designed System Detects 设计的系统检测
The designed system detects the worm malware that depends on the information of the dataset that is taken from website, the system will receive the input package and then analyze it, the Naïve Bayesian classification technique will start to work and begin to classify the package, by using the data mining Naïve Bayesian classification technique, the system worked fast and gained great results in detecting the worm. [1] The designed system detects upward/downward turning points in the ECG to detect the slope variation and calculates the fiducial points of the PQRST beats, with high auto-patient adaptability. [2]设计的系统根据从网站获取的数据集信息检测蠕虫恶意软件，系统将接收输入包并对其进行分析，朴素贝叶斯分类技术将开始工作并开始对包进行分类，通过使用数据挖掘朴素贝叶斯分类技术，系统运行速度快，在检测蠕虫方面取得了很好的效果。 [1] 所设计的系统通过检测心电图上/下转折点来检测斜率变化并计算PQRST心搏的基准点，具有较高的患者自体适应性。 [2]
system detects three 系统检测到三个
Methods: Our system detects three genes: RNA-dependent RNA polymerase (RdRp), envelope (E) and nucleocapsid (N), while the b-actin gene was used as an endogenous internal control. [1] Our system detects three genes—RNA-dependent RNA polymerase (RdRp), envelope (E) and nucleocapsid (N)—and uses the β-actin gene as an endogenous internal control. [2]方法：我们的系统检测三个基因：RNA 依赖性 RNA 聚合酶 (RdRp)、包膜 (E) 和核衣壳 (N)，而 b-actin 基因用作内源性内部对照。 [1] 我们的系统检测三个基因——RNA 依赖性 RNA 聚合酶 (RdRp)、包膜 (E) 和核衣壳 (N)——并使用 β-肌动蛋白基因作为内源性内部对照。 [2]
system detects obstacle 系统检测到障碍物
This system detects obstacles using ultrasonic sensors to avoid the barriers, and so this system produces a buzzer sound. [1] The RCT detection system detects obstacles at the rear while the car is backing up. [2]该系统使用超声波传感器检测障碍物以避开障碍物，因此该系统会发出蜂鸣声。 [1] RCT 检测系统在汽车倒车时检测后方障碍物。 [2]
system detects fire 系统检测到火灾
The system detects fire. [1] The simulation results show that the alarm activate if somebody enter the room without deactivated the system or the system detects fire spot in the room. [2]系统检测到火灾。 [1] 仿真结果表明，如果有人进入房间而没有关闭系统，或者系统检测到房间内有火点，就会触发警报。 [2]
system detects object 系统检测到对象
First of all, the system detects objects in the video using a popular framework named ”YOLO” (You Only Look Once) and associates each object with their possible interactions. [1] This system detects objects through frames of video data collected from a closed-circuit television using You Only Look Once (v. [2]首先，系统使用名为“YOLO”（You Only Look Once）的流行框架检测视频中的对象，并将每个对象与其可能的交互关联起来。 [1] 该系统通过从闭路电视收集的视频数据帧检测物体，使用 You Only Look Once (v. [2]
system detects drowsines 系统检测到睡意
The system detects drowsiness by extracting the ‘Eye Aspect Ratio’ (EAR) calculation of facial landmark localization and the authentication is verified by incorporating with the facial recognition technology. [1] The system detects drowsiness of the driver from dash camera using the Convolutional Neural Network algorithm; detects anomalies in the heartbeat using two-layer long short term memory algorithm and detects over-speed using GPS and front camera. [2]该系统通过提取面部标志定位的“眼睛纵横比”（EAR）计算来检测睡意，并通过结合面部识别技术来验证身份验证。 [1] 系统使用卷积神经网络算法从行车记录仪检测驾驶员的睡意；使用两层长短期记忆算法检测心跳异常，并使用 GPS 和前置摄像头检测超速。 [2]
system detects fault 系统检测到故障
Our system detects fault signatures accurately at any voltage or current levels, whether it is delta or star connected motors. [1] Once the system detects faults, it automatically turns on the identification observers. [2]我们的系统可以在任何电压或电流水平下准确检测故障特征，无论是三角形还是星形连接的电机。 [1] 一旦系统检测到故障，它会自动打开识别观察器。 [2]
system detects six 系统检测到六个
This system detects six basic emotions such as happiness, sadness, anger, fear, surprise, and disgust. [1] This system detects six basic emotions such as happiness, sadness, anger, fear, surprise, and disgust. [2]该系统检测六种基本情绪，如快乐、悲伤、愤怒、恐惧、惊讶和厌恶。 [1] 该系统检测六种基本情绪，如快乐、悲伤、愤怒、恐惧、惊讶和厌恶。 [2]
system detects person 系统检测到人
In order to synthesize the content, the system detects people in the video sequence via a deep neural network, and then the detected person’s pseudo-3D position is estimated by our proposed novel algorithm through a homography matrix. [1] The system detects people who walk through the door, calculates the number people, and sends the data to the Blynk and Line Notify servers which forwards the information to a user’s smartphone. [2]为了合成内容，系统通过深度神经网络检测视频序列中的人，然后通过我们提出的新算法通过单应矩阵估计检测到的人的伪 3D 位置。 [1] 系统检测进门的人，计算人数，并将数据发送到 Blynk 和 Line Notify 服务器，服务器将信息转发到用户的智能手机。 [2]
system detects dangerou 系统检测到危险
We also consider other important use cases when the system detects dangerous states of driver’s drowsiness and starts a question-answer game to prevent dangerous situations. [1] The proposed system detects dangerous driving actions and generates real-time alarms using off-the-shelf smartphones. [2]当系统检测到驾驶员困倦的危险状态并启动问答游戏以防止危险情况时，我们还会考虑其他重要用例。 [1] 所提出的系统检测危险驾驶行为并使用现成的智能手机生成实时警报。 [2]