A two-sided gaming model for large-scale stable matching in sharing economy based on the probabilistic linguistic term sets

Sharing economy is significant for economic development, stable matching plays an essential role in sharing economy, but the large-scale sharing platform increases the difficulties of stable matching. We proposed a two-sided gaming model based on probabilistic linguistic term sets to address the problem. Firstly, in previous studies, the mutual assessment is used to obtain the preferences of individuals in large-scale matching, but the procedure is time-consuming. We use probabilistic linguistic term sets to present the preferences based on the historical data instead of time-consuming assessment. Then, to generate the satisfaction based on the preference, we regard the similarity between the expected preferences and actual preferences as the satisfaction. Considering the distribution features of probabilistic linguistic term sets, we design a shape-distance-based method to measure the similarity. After that, the previous studies aimed to maximize the total satisfaction in matching, but the individuals’ requirements are neglected, resulting in a weak matching result. We establish the two-sided gaming matching model from the perspectives of individuals based on the game theory. Meanwhile, we also study the competition from other platforms. Meanwhile, considering the importance of the high total satisfaction, we balance the total satisfaction and the personal requirements in the matching model. We also prove the solution of the matching model is the equilibrium solution. Finally, to verify the study, we use the experiment to illustrate the advantages of our study.

Analysis of soil permeability and C-Organic in landslide events in Tangka Sub-Watershed

One of the areas in South Sulawesi Province classified as prone to landslides is the Tangka Sub-watershed in the West Sinjai Sub-District. The factors used in making the susceptibility map in the West Sinjai area mostly use general characteristics, such as slope, slope shape, distance from the river, lithology, land cover, and rainfall. Several previous research results stated that internal soil factors significantly affect the occurrence of landslides. Therefore, this study aims to determine the internal characteristics of the soil, especially the permeability and C-organic soil, which affects the occurrence of landslides and create a susceptibility map based on the resulting frequency ratio value. Soil permeability analysis using permeameter method, C-Organic analysis using Walkley and Black method, and susceptibility maps using frequency ratio method. The results showed that the low permeability and c-organic level of the soil increased the soil susceptibility to landslide events and produced a more detailed map of the area susceptibility than using only general factors.

MASS APPRAISAL APPLICATION FOR LAND VALUATION USING REGRESSION MODEL: A CASE STUDY IN THE C ZONE OF NAM HOI AN PROJECT, THANG BINH DISTRICT, QUANG NAM PROVINCE, CENTRAL VIETNAM

This study focuses on building a regression model in the series of land pricing for frontages and alleys in the C zone of Nam Hoi An project, Thang Binh district, Quang Nam province. The research applied data collection method, data processing method, regression analysis method to build a model of mass land valuation. The results of this study show that the location of the facade in the C zone of ​​Nam Hoi An project is affected by various factors such as security, plot width, plot shape, distance to Hoi An city, traffic congestion, land use type, and road boundary. Meanwhile, the unit price of land in the alley is influenced by factors such as security, alley level, plot shape, distance to Hoi An city, road structure, traffic congestion and alley location. The biggest factor affecting frontage land price is the type of land use with regression coefficient BLAND_USE_TYPE = 14,199. In terms of unit price of alley land, that is the type of alley with regression coefficient BALLEY_LOCATION = 10,772. The results of verification of the accuracy of the land unit price from the regression model to the compensation land unit price have a negligible difference, which is completely consistent with the requirement of determining the price level close to the market price. The results of this study show the practical applicability of mass appraisal for land valuation using a regression model in land acquisition and financial management of land.

Geometric Case Based Reasoning for Stock Market Prediction

Case based reasoning is a knowledge discovery technique that uses similar past problems to solve current new problems. It has been applied to many tasks, including the prediction of temporal variables as well as learning techniques such as neural networks, genetic algorithms, decision trees, etc. This paper presents a geometric criterion for selecting similar cases that serve as an exemplar for the target. The proposed technique, called geometric Case Based Reasoning, uses a shape distance method that uses the number of sign changes of features for the target case, especially when extracting nearest neighbors. Thus, this method overcomes the limitation of conventional case-based reasoning in that it uses Euclidean distance and does not consider how nearest neighbors are similar to the target case in terms of changes between previous and current features in a time series. These concepts are investigated against the backdrop of a practical application involving the prediction of a stock market index. The results show that the proposed technique is significantly better than the random walk model at p < 0.01. However, it was not significantly better than the conventional CBR model in the hit rate measure and did not surpass the conventional CBR in the mean absolute percentage error.

Affine Shape Comparison using Different Distances

In this work, we propose to compare affine shape using Hausdorff distance (HD), Dynamic Time Warping (DTW), Frechet (DF), and Earth Mover distance (EMD). Where there is only a change in resolution shape distance are computed between shape coordinates because the distance is not invariant under rotation or affinity. In case of transformation, distances are calculated not between shape coordinates but between Arc length or Affine Arc length. Arc length is invariant under rotation while Affine Arc length is invariant under affinity. The main advantage is invariance under change of resolution, rotation, and affinity.

FACTORS EXPLAINING URBAN LAND VALUE VARIABILITY: A CASE STUDY IN ATAKUM DISTRICT, SAMSUN-TURKEY

The objective of this study was to determine the factors affecting urban land prices in Atakum district of Samsun province, Turkey. Agricultural lands in Atakum changed to urban lands especially within the last 20 years due to increasing population and public facilities such as; roads, tram line, schools, etc. Data used in this study were collected in questionnaires on 64 land parcels sold by real estate agents in 2017. The factors affecting urban land prices were determined with Hedonic Price Analysis. The significance of model parameters was tested, and the variability of land prices was verified for the hypothesized relationships between the significant parameters and the parcel price. The significant factors affecting urban land price were distance to coast, floor area ratio, parcel size, parcel shape, distance to tram station, post office and bus station.

Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects

A large number of neuroimaging studies have shown that information about object category can be decoded from regions of the ventral visual pathway. One question is how this information might be functionally exploited in the brain. In an attempt to help answer this question, some studies have adopted a neural distance-to-bound approach, and shown that distance to a classifier decision boundary through neural activation space can be used to predict reaction times (RT) on animacy categorization tasks. However, these experiments have not controlled for possible visual confounds, such as shape, in their stimulus design. In the present study we sought to determine whether, when animacy and shape properties are orthogonal, neural distance in low- and high-level visual cortex would predict categorization RTs, and whether a combination of animacy and shape distance might predict RTs when categories crisscrossed the two stimulus dimensions, and so were not linearly separable. In line with previous results, we found that RTs correlated with neural distance, but only for animate stimuli, with similar, though weaker, asymmetric effects for the shape and crisscrossing tasks. Taken together, these results suggest there is potential to expand the neural distance-to-bound approach to other divisions beyond animacy and object category.

Bandung Urban Dense Built Environment: Its Contribution on Microclimate and Living Quality

Urban village (kampong) becomes the city morphology phenomenon, its growth is organic and has no land use planning adequate. The tendency of increasing local temperatures in various metropolitan cities with high density has led to urban heat island. This article is a comprehensive study aimed at describes micro-climate aspects of the urban built environment. Detailed discussion on aspects morphology of the urban village will describe its implications for the formation of the microclimate that affects residential quality. Nine locations of kampong in Bandung with was then taken into samples, namely: Sukajadi, Tamansari, Sukapada, Cigondewah Kidul, Cigondewah Rahayu, Cicendo, Babakan Ciamis, and Cihaurgeulis. Detailed and specific discussion on aspects of mass and building shape, distance between buildings, height of buildings and availability green open space provides particular information of the influence of physical aspects of morphology on the microclimate, especially the most important to the average radiation temperature (Tmrt), others, such as air temperature (Ta), humidity (RH), and wind speed (v). The quality of the living environment as indicated by the PET index (Physiologically Equivalent Temperature). The final result shows Cigondewah Rahayu with 31.2∘C; 50.6%; 0,33m/s obtained PET = 35.9∘C with hot sensation. Based on the field measurement also find out that most of the nine kampongs are offering “warm” sensation living area, none of them have the “neutral,” “cool” or even “slightly cool” sensation.