scholarly journals Incremental and predictive interpretation: Experimental evidence and possible accounts

2015 ◽  
Vol 25 ◽  
pp. 57 ◽  
Author(s):  
Adrian Brasoveanu ◽  
Jakub Dotlacil
Keyword(s):  
Experimental Evidence ◽  
Real Time ◽  
Formal Semantics ◽  
Main Question ◽  
The Real ◽  
To Come ◽  
The Right ◽  
Present Experimental Evidence

The main question we investigate is whether meaning representations of the kind that are pervasive in formal semantics are built up incrementally and predictively when language is used in real time, in much the same way that the real-time construction of syntactic representations has been argued to be. The interaction of presupposition resolution with conjunctions vs. conditionals with a sentence-final antecedent promises to provide us with the right kind of evidence. Consider the following 'cataphoric' example and the contrast between "and" and "if": "Tina will have coffee with Alex again and / if she had coffee with him at the local cafe". We expect the second clause to be more difficult after "and" than after "if": the conjunction "and" signals that an antecedent that could resolve the "again" presupposition is unlikely to come after this point (the second conjunct is interpreted relative to the context provided by the first conjunct), while the conditional "if" leaves open the possibility that a suitable resolution for the "again" presupposition is forthcoming (the first clause is interpreted relative to the context provided by the second clause). We present experimental evidence supporting these predictions and discuss two approaches to analyze this kind of data.

scholarly journals Function Extension Based Real-Time Wavelet De-Noising Method for Projectile Attitude Measurement

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 200 ◽  
Author(s):  
Zhihong Deng ◽  
Jinwen Wang ◽  
Xinyu Liang ◽  
Ning Liu
Keyword(s):  
Real Time ◽  
Signal To Noise Ratio ◽  
Absolute Error ◽  
Attitude Measurement ◽  
Extension Method ◽  
The Real ◽  
Projectile Motion ◽  
Function Extension ◽  
Process Guidance ◽  
The Right

The real-time measurement of the projectile attitude is the key to realize the whole process guidance of the projectile. Due to the high dynamic characteristics of the projectile motion, the attitude measurement is affected by the real-time and accuracy of the gyro signal de-noising. For the nonlinear discontinuity of the conventional extension method in real-time wavelet de-noising, a function extension real-time wavelet de-noising method is proposed in this paper. In this method, a prediction model of gyro signal is established based on the Roggla formula. According to the model, the signal is fitted in the sliding window, and the signal of the same length is predicted to realize the right boundary extension. The simulation and experiment results show that compared with the traditional extension method, the proposed method can in-crease the signal-to-noise ratio (SNR) and the smoothness, and can decrease the attitude mean absolute error (AMAE) and the attitude root mean square error (ARMSE). Moreover, the time delay caused by signal de-noising can be effectively solved. The real-time performance of the attitude measurement can be ensured.

scholarly journals Real Time Product Feedback Review and Analysis Using Apache Technologies and NOSQL Database

2017 ◽  
Vol 6 (10) ◽  
pp. 22551-22558
Author(s):  
BiswaRanjan Samal ◽  
Mrutyunjaya Panda
Keyword(s):  
Real Time ◽  
Complex Analysis ◽  
Feedback System ◽  
Time Data ◽  
The Real ◽  
Real Time Analysis ◽  
Nosql Database ◽  
Data Ingestion ◽  
The Right ◽  
User Friendly

Whenever a feedback system comes into mind, it’s always a demand of the e-commerce organizations to get the customer feedbacks in real time and to build some strong dashboards on top of these feedbacks/ratings. So that they can easily know the performance of any product at any point of time as well as they could able to take a decision, on what to do with the products those are getting very poor feedbacks. Which will result in a minimum impact on the tangible and intangible assets of the organizations. For achieving the above goal it is very necessary for these organizations to adopt the right tool and implement the required environment which can deal with the real time big data ingestion, enrichment, indexing and have the power to perform simple as well as complex analysis algorithm on the stored data. In this paper, we have collected Amazon Product Ratings for doing analysis and used Apache NiFi for ingesting real-time data into Apache Solr and have taken help of Banana Dashboard to show the real time analysis results in the form of attractive and user-friendly dashboards.

scholarly journals Implementation of Low Cost SDR in HF Band for Emergency Application

2020 ◽  
Author(s):  
Madhuri Gummineni ◽  
Trinatha Rao Polipalli
Keyword(s):  
Response Time ◽  
Real Time ◽  
Communication System ◽  
Emergency Services ◽  
Low Cost ◽  
Relay Node ◽  
Reliable Communication ◽  
The Real ◽  
Different Types ◽  
To Come

Abstract When events are uncontrolled due to hurricanes, the communication will breakdown. During this strenuous situation there is a need for reliable communication system to provide alert and emergency services. There remains a particular attention towards portability, reconfigurability, and interoperability in a communication system to reduce response time during emergencies. The real-time implementation helps to come across alternatives to overcome practical difficulties and challenges. This motivates us to implement a Relay Node in real-time using SDR , hence an experiment is carried out in order to gain first hand experience between different types of architecture of SDR i.e.VUSDR, HackRF One, and USRP. The architecture of Low-cost VUSDR and comparison between different types of SDR has been presented in this paper. Future scope and applications are presented.

Left is Better Than Right for Reducing Nondeterminism of NFAs

2021 ◽  
pp. 1-20
Author(s):  
Sang-Ki Ko ◽  
Yo-Sub Han
Keyword(s):  
Experimental Evidence ◽  
Equivalence Class ◽  
Polynomial Time ◽  
Minimization Problem ◽  
The Right ◽  
Present Experimental Evidence ◽  
Better Than

We study the NFA reductions by invariant equivalences and preorders. It is well-known that the NFA minimization problem is PSPACE-complete. Therefore, there have been many approaches to reduce the size of NFAs in low polynomial time by computing invariant equivalence or preorder relation and merging the states within same equivalence class. Here we consider the nondeterminism reduction of NFAs by invariant equivalences and preorders. We, in particular, show that computing equivalence and preorder relation from the left is more useful than the right for reducing the degree of nondeterminism in NFAs. We also present experimental evidence for showing that NFA reduction from the left achieves the better reduction of nondeterminism than reduction from the right.

Container Elasticity: Based on Response Time using Docker

2020 ◽  
Vol 13 ◽  
Author(s):  
Mahendra Pratap Yadav ◽  
Harishchandra A. Akarte ◽  
Dharmendra Kumar Yadav
Keyword(s):  
Response Time ◽  
Real Time ◽  
Scale Up ◽  
Dynamic Environment ◽  
Resource Provisioning ◽  
Allocation Of Resources ◽  
The Real ◽  
Cloud Providers ◽  
The Right ◽  
Auto Scaling

Objective: Cloud computing is an approach to provide the computing resources (machine) to end-users for running their application over the Internet. The computing resources consist of various things (e.g. RAM, Memory, CORE, etc.). These resources are allocated to an application without human intervention for managing the fluctuating workload. To manage the real-time fluctuating workload, cloud providers use VM based or Container-based virtualization to host the client services. Adding/removing resources dynamically as per the demand of application through cloud is known as elasticity. Cloud providers use the auto-scaling mechanism to implement elasticity. A machine that hosts an application can be either overloaded or under-loaded due to the real-time fluctuating workload. The cloud providers use an auto-scaling mechanism to automatically scale up or down the computing resources at the right moment for managing the real-time fluctuating workload. The failure of allocation/de-allocation of resources at right time leads to SLA violation, service unavailability, customers lost, more power consumption, minimum throughput and maximum response time. Hence, the allocation/de-allocation of resources at right moment becomes critical for successful completion of task in dynamic environment efficiently. Methods: Resource provisioning for managing dynamic and fluctuating workload has been achieved through an algorithm (PID with dynamic HAProxy) which is based on decision-making approach that depends on response time of container using mechanism of control theory. Results: The proposed work has improved performance of the system in terms of resource utilization and response time to manage the fluctuating workload. Conclusion: The addition/removal of containers dynamically to manage fluctuating workload can be achieved more efficiently.

scholarly journals The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Chern-Sheng Lin ◽  
Pei-Chi Chen ◽  
Yu-Ching Pan ◽  
Che-Ming Chang ◽  
Kuo-Liang Huang
Keyword(s):  
Real Time ◽  
Human Body ◽  
Relevant Information ◽  
Robotic Arm ◽  
Depth Sensor ◽  
Hand Gestures ◽  
The Real ◽  
Left Hand ◽  
Right Hand ◽  
The Right

This study focused on utilizing the Kinect depth sensor to track double-hand gestures and control a real-time robotic arm. The control system is mainly composed of the microprocessor, a color camera, the depth sensor, and the robotic arm. The Kinect depth sensor was used to take photos of the human body to analyze the skeleton of a human body and obtain the relevant information. Such information was used to identify the gestures of the left hand and the left palm of the user. The gesture of left hand was used as an input command device. The gesture of the right hand was used for imitation movement teaching of robotic arm. From the depth sensor, the real-time images of the human body and the deep information of each joint were collected and converted to the relative positions of the robotic arm. Combining forward kinematics and inverse kinematics and D-H link, the gesture information of the right hand was calculated, which was converted via coordinates into each angle of the motor of the robotic arm. From the color camera, when the left palm was not detected, the user could simply use the right hand to control the action and movement of the real-time robotic arm. When the left palm was detected and 5 fingertips were identified, it meant the start of recording the real-time imitation movement of the robotic arm by the right hand. When 0 fingertip was identified, it meant the stoppage of the above recording. When 2 fingertips were identified, the user could not only control the real-time robotic arm but also repeat the recorded actions.

scholarly journals Elucidating the real-time Ag nanoparticle growth on α-Ag2WO4during electron beam irradiation: experimental evidence and theoretical insights

2015 ◽  
Vol 17 (7) ◽  
pp. 5352-5359 ◽  
Author(s):  
Wyllamanney da Silva Pereira ◽  
Juan Andrés ◽  
Lourdes Gracia ◽  
Miguel A. San-Miguel ◽  
Edison Z. da Silva ◽  
...  
Keyword(s):  
Electron Beam ◽  
Experimental Evidence ◽  
Real Time ◽  
Electron Beam Irradiation ◽  
Atomic Scale ◽  
Ag Nanoparticle ◽  
Beam Irradiation ◽  
The Real ◽  
Nanoparticle Growth

The nucleation of Ag on α-Ag2WO4is investigated at atomic-scale by TEM and FE-SEM techniques. Ag-3 and Ag-4 centers of the (100) sub-surface are the most favorable to diffuse to form metallic Ag.

scholarly journals Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT

2022 ◽  
Vol 12 (1) ◽  
pp. 785
Author(s):  
Thi Thu Nguyen ◽  
Phuc Thinh Doan ◽  
Anh-Ngoc Le ◽  
Kolla Bhanu Prakash ◽  
Subrata Chowdhury ◽  
...  
Keyword(s):  
Real Time ◽  
Emergency Departments ◽  
Mobile Application ◽  
Classification Algorithm ◽  
Acceleration Sensor ◽  
The Real ◽  
Average Accuracy ◽  
The Status ◽  
To Come ◽  
Better Than

<span>In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%).</span>

Investor-State Dispute Settlement under NAFTA Chapter 11: The Shape of Things to Come?

1998 ◽  
Vol 35 ◽  
pp. 263-290
Author(s):  
J. Anthony VanDuzer
Keyword(s):  
Free Trade Agreement ◽  
Dispute Settlement ◽  
Trade Agreement ◽  
Minimum Standards ◽  
The North ◽  
State Behaviour ◽  
Nafta Chapter 11 ◽  
To Come ◽  
The Right

SummaryRecently, there has been a proliferation of international agreements imposing minimum standards on states in respect of their treatment of foreign investors and allowing investors to initiate dispute settlement proceedings where a state violates these standards. Of greatest significance to Canada is Chapter 11 of the North American Free Trade Agreement, which provides both standards for state behaviour and the right to initiate binding arbitration. Since 1996, four cases have been brought under Chapter 11. This note describes the Chapter 11 process and suggests some of the issues that may arise as it is increasingly resorted to by investors.

Sign in / Sign up

Export Citation Format

Share Document