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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
In this Plenary paper the most important scientific challenge of knowledge learning is reviewed thought two different approaches: Deep Learning (DL) and Wise Learning (WL).
With advancement of sensor technologies, it is now possible to manufacture cost-effective multispectral sensors for ATM (automatic teller machine). Using multispectral images, one can better cope with counterfeit banknote problems. In this paper, we propose a counterfeit banknote detection using multispectral images in visual and infrared spectrum. In the proposed method, we divided a banknote into...
Recently, deep neural networks have been widely used in many applications with successful results. Each layer of multilayer neural networks can be viewed as non-linear dimension expansion and the final layer can be viewed as linear classification. It is observed that adding more layers doesn't always improve the classification performance in some cases. In this paper, we analyze the discriminant powers...
The evolution of health systems derives in the implementation of Smart Health, integrated within the framework of Smart Cities and Smart Regions. In this context, vehicular communications provide additional means of interaction among users, administration and health professionals. In this work, characterization of wireless communication between ambulance and urban deployed access points will be analyzed,...
Geocaching has emerged as an activity to promote the discovery, and group work (competitive or collaborative), with physical activity that challenges participants around finding clues to solve puzzles using mobile devices. Geocaching has been in used in entertainment, teaching, and physical activity applications. Traditional approaches use QR codes, beacons, apps and websites to guide the user through...
The number of known and unknown plant species increases as time goes by. Research on plant species can be further advanced if there is a quick and accurate system that can identify plants and hasten the classification process. This system will not only help in accelerating plant classification, but will also allow people who are not morphological experts to conduct their own studies. LeaVes is an...
This article presents an automated method of semantic analysis of patent array, used for patent examination and designed to reduce the time that an expert spends for the prior-art search and for the decision making if the patent should be granted or not. This method is part of a three steps methodology, consists of preprocessing step, statistical analysis and semantic analysis. The method includes:...
Technology has become a powerful tool in data gathering and analysis. This is particularly important in healthcare, where voluminous data are generated. With this in mind, we took a step in improving delivery of healthcare among patients with Rheumatoid Arthritis (RA). An innovative technological system called Philippine Application for Rheumatoid Arthritis Data Exchange (PARADE) was developed to...
This paper presents a novel smartphone application that is expected to offer a solution from a different perspective to the problem of mobile phone power. The developed mobile application utilizes crowd sourced battery energy and offers software services in order to enable smartphone users sharing their devices' energy surplus between other users that need it. A hybrid criteria based algorithm that...
The Philippines is one of the most disaster prone countries in the world and landslides are one of the many hazards that devastates the country. The country's population and average amount of rainfall increases annually, causing the risk of landslides to increase as well. Because of this, there is a need to develop new techniques and models to measure landslide susceptibility to help mitigate the...
The prevalence of mental health problems has become alarming, with the worldwide occurrence of mental health problems and deaths due to suicide reaching significant numbers. In the Philippines, suicide rate has increased from 1984 to 2005 especially among the youth. This is evident in campus setting in the Philippines, with the death of at least ten college students in the past three years. Despite...
Dengue is a rapidly spreading, mosquito-borne viral disease with an estimated incidence of 50 million cases occurring annually around the world [1]. In the Philippines, from January to August 2015 alone, 55,079 cases were reported [3]. Dengue continues to be a tremendous health issue due to several implementation [4], and environmental health factors [2]. The study proposes the use of an Artificial...
Providing users with a lot of information might sound ideal in many scenarios, nonetheless, this may often be very annoying for the end user. To limit the amount of information that has to be processed by the user, to a set that is more relevant for his needs, most service providers use recommender systems. Undoubtedly, to provide someone with proper recommendations, one needs some background knowledge...
In this paper we address the topic of generating automatically accurate, meaning preserving and syntactically correct paraphrases of natural language sentences. The design of methods and tools for paraphrasing natural language text is a core task of natural language processing and is quite useful in many applications and procedures. We present a methodology and a tool developed that performs deep...
We implemented a recommendation system that presents persuasive messages to commuters using a route planning application. Our aim is to nudge users towards following routes that are environmentally friendly with lower CO2 emissions than those they usually take. Our implementation leverages contextual information and transportation user profiles while the messages are defined based on a set of persuasive...
Various professions have an increased rate of carpal tunnel syndrome (CTS) given the reliance on regular and repetitive movements of the hand and wrist. With the widespread use of computing devices, the popularity of video games, and the ubiquitous nature of mobile devices, the occurrence of CTS is increasing amongst the general public. Given the rise in CTS along with the corresponding implications...
The berth and quay crane allocation problem aims to determine the berthing times and positions of container ships in port container terminals. Solving this problem effectively improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels. The problem is formulated as the berth allocation problem (BAP) with multiple ships and quay cranes (QCs) and...
The Quay Crane Scheduling Problem (QCSP) is a major concern in ports and container terminals. It aims to minimize vessels and quay completion time by organizing the sequence of loading and unloading processes. The formulation is developed for the QCSP by taking into consideration a berth with multiple vessels and the solution methodology is presented for a numerical example using the General Algebraic...
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