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Automatic gender detection from face images is a challenging problem. In the literature, different techniques have been applied so far on face images for gender detection. In contrast to these existing methods, we have analyzed the usage of first-order configural relations of the face to predict gender from images by using machine learning algorithms. In experiments on the dataset of Wikipedia profile...
The study aimed to explore the influence of emotional labor on organizational commitment, we also investigated the mediating effect of job burnout and the moderating effect of perceived organizational support, 234 employees of government logistics participated our research. The results showed that: The surface behaviors of emotional labor had no effect on job burnout. Deep behaviors had a negative...
The Costa Rican Ministry of Science, Technology and Telecommunications (MICITT) promotes The Science and Technology Month. This is a yearly celebration aimed at bringing young students closer to science and technology. In 2016, the activity included events in six rural areas around the country. Laboratorio Experimental is a group for research and outreach in computer science education hosted by Instituto...
Real world fuel consumption and emission models are sensitive to road grade estimates. The developments of eco-routing and eco-driving solutions makes the development of large scale collections of road grade profiles of importance. Therefore, there is a need to collect accurate, large scale, road grade profiles. Existing intelligent transport systems (ITS) like Advanced Bus Transportation Systems...
Sentiment analysis (SA) is a process done computationally for detecting opinion as well as determining their polarity. Context dependent opinion words remains as a challenge for SA since their polarity changes according to the context in which they are used. This work proposes a new approach for solving this problem using (aspect, opinion) pairs and logistic regression (LR) model. Syntactic rules...
In this paper, we will propose a digital watermarking for voice signals recorded by a digital voice recorder especially in conferences. We will discuss some requirements for detecting falsifications in the voice signal, because the conference record has the probability that a conclusion is changed for only a falsification in a little time interval. Next, we will show a method of locating an altered...
This paper proposes a cargo management system, named i-Logistics, which consists of an electronic tape (e-tape), a QR code scan APP, an in-vehicle infotainment system (a vehicular telematics device), and a cloud-based platform. The dedicated Polyvinylidene fluoride (PVDF) sensors are mounted on the electronic tape for monitoring cargos. The QR code scan APP is used to burn a matching dedicated ID...
Internet of Things (IoT) refers to the network, the micro-sensor generated by the information to be collected, processed and used, and then the construction of intelligent families, smart city and wisdom of medical and other living environment. The research contents of this paper are to analyze the driving behavior data through the vehicle preloading equipment, analyze the factors that affect the...
One of the age old neurological disorders found in human beings is epilepsy. It is witnessed by the abnormal electrical activities in the brain which causes recurring seizures, therefore the patient suffers from loss of consciousness. Due to the random nature of the seizures, the patients may not be aware of it and so it increases the risk of physical injury. Due to the disturbed brain activity, epileptic...
The opinion mining is very much essential in e-commerce websites, furthermore advantageous with individual. An ever increasing amount of results are stored in the web as well as the amount of people would acquiring items from web are increasing. As a result, the users' reviews or posts are increasing day by day. The reviews toward shipper sites express their feeling. Any organization for example,...
Detection of string and column delimiters is a critical first step in the automated ingestion of files containing tabular data. In this paper we present an algorithm that uses a logistic-regression classifier to evaluate whether a particular choice of delimiters is correct. The delimiter choice that is given the highest score by the classifier is chosen as the one most likely to be correct. The algorithm...
The goal of Vehicle Routing Problems (VRP) and their variations is to transport a set of orders with the minimum number of vehicles at least cost. Most approaches are designed to solve specific problem variations independently whereas in real world applications, those constraints are handled concurrently. This paper describes a novel approach to solve variants of Open VRP, Multi Depot VRP, Capacitated...
In recent years, large-scale warehouse has become remarkable. In the work of the warehouse, it is considered that travel time in the order picking occupy the large part of the total work time. Methods of changing product placement has been widely studied. But there is no method of changing product placement after the start of order picking. In this study, we propose the dynamic product placement method...
Modeling wind generation for use in many power system applications requires a massive database of historical wind speeds so that the stochastic nature of the wind at a particular site can be accurately analyzed. The alternative is to use reliable estimates of a probability distribution function (PDF) that can preserve the variable characteristics of wind speed and generate the desired synthetic data...
Security is a major concern in digital image transmission applications. In this paper, a novel color image encryption scheme is proposed to enhance security and efficiency. The proposed scheme is a single round based hyper chaotic system due to bi-directional pixel diffusion which contributes towards increased security and improved efficiency. Security analysis such as key sensitivity, histogram,...
Online shopping behaviors lead to a large number of goods need to be transported in the real world. Researches on logistics have attracted extensive attentions. One of popular topics is logistic route planning. Although various previous studies have discussed some classical routing problems, real logistic constraints are not considered such as the vehicle capacity, various logistic requirements, etc...
Large-scale classification of data where classes are structurally organized in a hierarchy is an important area of research. Top-down approaches that exploit the hierarchy during the learning and prediction phase are efficient for large-scale hierarchical classification. However, accuracy of top-down approaches is poor due to error propagation i.e., prediction errors made at higher levels in the hierarchy...
This short paper presents an iterative and incremental process to improve the probability that the product or service definition leading to requirements and implementation is both representative of the market needs and has a reasonable expecta-tion of a financially viable business model. Rather than a relative-ly linear process wherein marketing delivers a product definition to the development team,...
With the rapid development of IT and logistics, importance of the warehouse has been growing. It is generally believed today that shorten the working time in the Warehouse is viewed as an important issue. The solution of the issue is changing product placement in the warehouse. This study proposes the dynamic product placement method. We examine that experimental results is effective.
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