The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Range-free localization algorithm is a cost-effective alternative for node localization in underwater acoustic sensor network because it requires no information about distance and angle, and only utilizes network connectivity to locate. Compared with other range-free localization algorithms, APIT (Approximate Point-In Triangulation) algorithm can achieve higher precision position estimation with small...
For the restoration problem of shredded paper broken by shredder machines with the same marginal feature, a new method based on ant colony algorithm with classification is proposed in this paper. Firstly, shredded paper feature vector can be extracted by image space information. Secondly, the similar matrix and the marginal distance matrix are defined by the feature vector and left-right part image...
High quality teaching has always been the pursuit of universities, but the automatic and real time evaluation on the quality of classroom teaching has not been achieved. To solve this problem, a real-time processing of classroom video through face detection technology and a software system to provide a basis for judging the quality of teaching is proposed in this paper. The main application of machine...
Proper healthcare is one of the fundamental needs of human beings. However, the doctor-to-patient ratio in developing and underdeveloped countries, especially in remote rural areas is quite low. A smart digital stethoscope, which can make preliminary health monitoring by itself and communicate with a doctor from remote areas can minimize such problem. Though there are several such devices from various...
This paper presented a gesture recognition system for human-computer interaction based on 24GHz radars. We describe this system designed for frequently used gesture detection like hand pushing, hand pulling, hand lifting and hand shaking. Decision tree was established to classify these original signals into the four sets of gestures. Through a set of tests on this gesture-recognition system, we proposed...
This letter discusses the problem of Direction of Arrival (DOA) estimation for two-dimension antenna array, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one dimension search, can avoid the high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that the algorithm has very close performance...
Event relation knowledge is important for deep language understanding and inference. Previous work has established automatic acquisition methods of event relations that focus on common sense knowledge acquisition from large-scale unlabeled corpus. However, in the case of domain-specific knowledge acquisition, such a method can not acquire much knowledge due to the limited amount of available knowledge...
Brain injuries seem to be one of the most widespread diseases. Hence, the main goal of our research was to investigate feature importance in the severe brain damages dataset according to the Glasgow Outcome Scale. This scale is recognized as one of several measures used to evaluate patients' functional ability as well as their conditions after applying brain damage therapy. The current approach is...
The aim of this study is to compare some classifiers' performance related to the tuples amount. The different metrics of performance has been considered, such as: Accuracy, Mean Absolute Error (MAE), and Kappa Statistic. In this research, the different numbers of tuples are considered as well. The readmission process dataset of Diabetic patients, which has been experimented, consists of 47 features...
Currently, the government is still having difficulties in distributing teachers. The current problem is not just about less teachers, but also more teachers in some cities. The problem of unequal distribution of teachers then became dependent on local government. The distribution of teachers now can not be centralized because of the decentralization system implemented in Indonesia. Clustering in data...
This project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient...
Roller element bearing fault diagnosis is crucial in industry to maintain that the machine is in good condition so that there is no delay of work due to machine breakdown. This paper discusses the use of Extreme Learning Machine (ELM) algorithm to classify bearing faults. The performance of ELM is compared with Back Propagation (BP) algorithm. It was found that the results show that the ELM has smaller...
DNA Microarray data is a high-dimensional data that enables the researchers to analyze the expression of many genes in a single reaction quickly and in an efficient manner. Its characteristics such as small sample size, class imbalance, and data complexity causes it difficult to classified. Feature selection is a process that automatically selects features that are most relevant to the predictive...
The present study describes the collaborative writing problem of Hana nikki, a novel published in Yasunari Kawabata’s name but suspected to be written by Tsuneko Nakazato. The aim of the present study is to visualize variances between the writing styles of the author (Yasunari Kawabata) and the potential co-author (Tsuneko Nakazato). We performed the rolling-SVM method on the pre-established...
The omnipresence of mobile devices and the great need to remain connected has brought to the forefront, the ever-growing need for wireless networks. This unprecedented growth of wireless networks and their use has resulted in an era where, the security of wireless networks has become a necessity. Currently the security methods to protect the Wi-Fi are based on the use of cryptography techniques to...
The arrival times of buses are often hard to predict due to variation of real time traffic conditions, deployment schedules and traffic incidents. The provision of timely arrival time information is thus vital for passengers to minimize their waiting time and improve riders' confidence in the public transportation system, directly promoting more ridership. Multiple buses are commonly observed to arrive...
With the development of cloud computing technology, there are many scientists who want to perform their experiments in cloud environments. Because of the pay-per-use method, it is cost-optimal for scientists to only pay for the cloud services needed for their experiments. However, selection of suitable resources is difficult because they are composed of various characteristics. Therefore, a method...
Digital image processing is shifting the information analysis paradigms in a variety of systems whereas that it is becoming highly viable. Medicine has made the most of image processing by enhancing decision-making through computer-aided diagnosis (CAD) systems. CAD image models support medical inferences by extracting key visual features and classifying regions of interest. Linear parametric system...
Creativity is considered as a very important element of the society development. Having entered the big data era, people have been focusing on finding a pathway developing creativity for all applications. In the psychology and education domain, various approaches have been attempted, such as divergent thinking and brain storming. The psychology domain has researched on human's cognitive development...
One of the interesting and important subjects among researchers in the field of medical and computer science is diagnosing illness by considering the features that have the most impact on recognitions. The subject discusses a new concept which is called Medical Data Mining (MDM). Indeed, data mining methods use different ways such as classification and clustering to classify diseases and their symptoms...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.