Vol. 04, No. 09 [September 2018]

As we know, stock market and bond market are the important component of financial market. The relationship between them is close. We take the weekly returns of the new composite index and Shanghai Stock Exchange index, From January 1, 2012 to December 31, 2017, established a vector autoregressive model to explore the relationship between them. The empirical results show that the return of stock market just have a little impact on the return of bond market, and the impact has a certain lag. the return of bond market has strong autocorrelation.
Keywords:Stock market; bond market; yield; correlation

Crutches and canes are widely used around the world as a means of providing stability and support for those who need them; the elderly population in particular utilizes these devices the most. It is very difficult for people with physical disability to maneuver. They always need a support or they use crutches to move. Moving using crutches is a very hard task. This task is very straining since this involves lot of manual effort. This is even difficult for a long distance.There are numerous products in the market that attempt to add a seat to the crutch or cane in an effort to alleviate the stress of standing for too long. However, there is no product involving electrical assistance to the crutches.Here is a step ahead to build a device which can accommodate both manual and motorized version. The goal of this workt is to design and build a device that can be used as either as crutch or as a electric scooter so that when user is tire, it can be unfolded and be used as electric scooter reducing strain on user. A first generation prototype was successfully fabricated using available mild steel raw material, motor, battery, control system etc. The prototype underwent load and dynamic tests in addition to this overall usability tests.
Keywords:Portable Hybrid Crutch, foldable, morised crutch, Advance Breaking, Throttle system

A brain tumor is a serious disease that takes numerous life annually. Identification and classification from magnetic resonance imaging (MRI) are valuable for a particular medical care. Identification of a brain tumor in MRI is still a decisive and complicated job for physicians. This work is seeking to produce an automated system for segmentation and classification of a tumor in theMRI image. A methodology based on the Fuzzy C-means algorithm for segmentation which, is a substantive step in medical image analysis, the Grey Level Co-occurrence Matrices (GLCM) for feature extraction, and Deep Neural Network (DNN) for classification. The proposed system has been tested with datasets and the experimental results demonstrate good performance.
Keywords:Brain tumor detection, Deep Learning,FCM, Image segmentation

Flight motion simulators are currently used for flight training and research, but there are many limitations to these existing systems. This paper presents a low-cost design for a rotational motion platform titled, ‘The Controlled Human Gyroscope’. It uses a 4-axis system instead of the conventional 3-axis system to avoid gimbal lock and prevent the unnecessary motion of the user. The Human Gyroscope features unlimited rotation about the roll, pitch and yaw axes regardless of the occupant’s orientation. It will therefore provide high fidelity motion simulation and if it is paired with a translational motion platform, it can provide up to 6 degrees of freedom. Equations of motion for this specific system are presented in this paper and can be used to develop a control algorithm.
Keywords: Flight motion simulator, Gimbal lock, Human gyroscope, Full rotational control, Rotational Motion

Swarm technology represents a breakthrough in the creation of 3D models using drone-based photogrammetry. The traditional single-drone approach for modelling of large areas(area >5 km²) or spatially complex objects (e.g., buildings, infrastructures) requires long flight times and is frequently associated with variable light- and meteorological conditions during periods spanning several days. This is especially true for drone copters. In this EU-supported project (www.target-h2020.eu) COTSdrones have been evaluated and the drone DJI Mavic Pro (MP) has been selected for optimal performance. Based on MP, the Photogrammetry Swarm Kit (PSK) has been developed, offering considerable time- and cost savings as compared to the traditional single drone approach.PSK is comprised of five MP drones housed in a specially designed, portable container, together with control unit and power supplyand aground control station.PSK uses WiFi communication and is adjusted to a Digital Elevation Model to ensure a precise flight. It offers three modes of data acquisition (Area Mode, Highlight Mode, Angle Mode). PSK has been field-tested in the European Union and the Republic of Kyrgyzstan and received the DRONE HERO EUROPE Award 2018.
Keywords: Drone, Swarm, Photogrammetry, 3D Modelling.