Fair trade in insurance industry: Premium determination of Taiwan automobile insurance

This paper examines premium determination of voluntary automobile insurance policy and risk classification under a heavily regulated rating system in Taiwan. We investigate the distribution of actual premium and pure premium, based on unique data to test if premium reflect appropriate gender-age factor. The reasonableness of loading and the difference in driving exposure between policyholder and driver are investigated for three different types of policy. An adjustment of gender-age premium coefficients is called for

THE KINEMATIC ANALYSIS OF GIANT SWING AND DISMOUNT OF DOUBLE SALTO BACKWARD STRETCHED WITH 720°TURNS ON HORIZONTAL BAR

The main purpose of this study was to analyze the kinematic characteristics of the Giant Swing Leg Beating Action on the horizontal bar and in addition, the movement of leaving bar during dismount of Double Salto Backward Stretched with 720°Turns. 3D kinematic data of one international top class (S1) and national level gymnasts (S2) were collected by using Peak Performance 3D Motion Analysis System. The data was obtained during final competition of the horizontal bar routine in 1998 International China Motor Cup Gymnastics Meeting. The results indicated that better performance was demonstrated if gymnasts could make use of the inflection of shoulders and hips to alternate the moment of inertia. This created the active moment that was required to accelerate body swing so that higher velocity can be gained when leaving the bar

COMPARING THE DIFFERENCE BETWEEN FRONT-LEG AND BACK-LEG ROUND-HOUSE KICKS ATIACKING MOVEMENT ABILITIES IIN TAEKWONDO

The purpose of this study is to compare front-leg and back-leg movement abilities in Taekwondo athletes with a weight level of less than 68 kg. Six male subjects (age: 19.8±1, height: 175.6±3.9, weight: 62.5±4.8) conducted back-leg attacking movements and front-leg attacking movements with their dominant leg. The back-leg attacking movements include back leg round-house kick and strike back round house kick. The front-leg attacking movements include front leg round-house kick and slide round-house kick. From statistics obtained, the kicking of relative force, compound acceleration, and tangential acceleration are better for back-leg attacking movements. However, front-leg attacking movements are better in tangential velocity. The range of waist a rotation and the flexibility of the hip joint are important to roundhouse kick techniques to the kinetic chain

NEURAL NETWORK USED FOR THE PREDICTION OF JOINT TORQUE FROM GROUND REACTION FORCE DURING COUNTER·MOVEMENT JUMP AND SQUAT JUMP

The purpose of this study was to develop an artificial neural network (ANN) for predicting the joint torque of lower limb using solely the ground reaction force (GRF) parameters for counter-movement jump (CMJ) and squat jump (SJ). Ten sport students performed CMJ and SJ on force plate, meanwhile the kinematic data were recorded and the joint torque were calculated as experimental data by inverse dynamics. We used a fully-connected, feed-forward network comprised of one input layer, one hidden layer and one output layer trained by back propagation using Steepest Descent Method. The input parameters of ANN were relevant time variables of GRF measurement and the output parameters were joint torque. The results revealed that the ANN model fitted the experimental data well indicating that the model developed in this study is feasible in the assessment of joint torque for CMJ and SJ

Keyword Join: Realizing Keyword Search for Information Integration

Information integration has been widely addressed over the last several decades. However, it is far from solved due to the complexity of resolving schema and data heterogeneities. In this paper, we propose out attempt to alleviate such difficulty by realizing keyword search functionality for integrating information from heterogeneous databases. Our solution does not require predefined global schema or any mappings between databases. Rather, it relies on an operator called keyword join to take a set of lists of partial answers from different data sources as input, and output a list of results that are joined by the tuples from input lists based on predefined similarity measures as integrated results. Our system allows source databases remain autonomous and the system to be dynamic and extensible. We have tested our system with real dataset and benchmark, which shows that our proposed method is practical and effective.Singapore-MIT Alliance (SMA

Keyword Join: Realizing Keyword Search in P2P-based Database Systems

In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.Singapore-MIT Alliance (SMA