ICACS

Card skimming and identity theft in ATMs transactions are prevalent nowadays. The use of the common PIN system together with the use of fingerprint as one's identification, eliminating the card skimming- and theft-prone typical card when the PIN is ...

Pap smear image analysis is an effective and common way for early diagnosis of cervical cancer. Nucleus and cytoplasm morphology analysis are main criterion in determining whether the cells are normal or abnormal. Therefore, the accuracy of nucleus ...

Caring individual pigs in large-scale pig farms is an important issue for preventing infectious diseases. Accordingly, many researchers have been researched about group-housed pig monitoring systems. However, it is challenging to identify individual ...

We propose a novel chest boundary estimation method using a RGBD camera for robust lung electric impedance tomography (EIT). For EIT imaging, sixteen electrodes are generally used, so we use the twelve electrodes as color markers and put pattern markers ...

Identification of individual STR-based individuals is required for the investigation of Disaster Victim Identification and other applications. The DNA identification of an individual with the DNA of both biological parents, father, and mother, would ...

Recently, emotion recognition has gained increasing attention in various applications related to Social Signal Processing (SSP) and human affect. The existing research is mainly focused on six basic emotions (happy, sad, fear, disgust, angry, and ...

In today's e-commerce environment, Collaborative Filtering (CF) is a widely used algorithm for recommender system, which is to identify the users who have similar preferences to the target user, and to predict the preference of the target user according ...

In a surveillance camera environment, detecting pigs in a pig room is an important issue in terms of automatic management. In addition, it is important to analyze the area of lying-pigs in order to estimate the temperature of a pig room. However, it is ...

This paper presents a natural language processing (NLP) approach to construct signs and symptoms corpus in order to identify signs and symptoms recoded in a Thai chief complains (CCs) based on the International Statistical Classification of Diseases and ...

The maternal mortality rate (MMR) is one of the indicators that describe the welfare of people in a country. There are 3 factors that caused maternal death in Indonesia. Late in recognizing the danger signs of pregnancy is one of those factors. ...

Activity Recognition (AR), Internet of Things (IoT), and speech recognition are emerging technologies in the context of wearable devices and Mobile health (mHealth) networks. Applications of mHealth sensors on human bodies can involve the measurement of ...

This article is centred on a mathematical weather forecasting model that must run regularly (i.e. 24/7) on an HPC system. Depending on the environmental conditions, each execution of the model may have a different deadline and a different accuracy ...

The value and impact of successful capstone project can be potentially great. It can provide students involved with learning and design experiences, high confidence in design skills and abilities, and potentially long-term relationship with the ...

Web audio technologies have recently been greatly developed by web developers and software companies, providing web audio libraries and frameworks for audio processing and synthesizing using JavaScript. JavaScript has developed into flexible programming ...

In last few years, a musical application has developed by developer and computer software company such as sound effects, midi controller, musical instrument for music playing and collaborate musical works in mobile, tablet PC with iPhone or Android. ...

This paper aims to develop a hybrid saxophone interface with real instrument and an electronic interface that enables to control sound and a multimedia data. Telesaxophone have developed for saxophone player with a dial sensor and several button sensors ...

This research investigates the large hype surrounding big data (BD) and Analytics (BDA) in both academia and the business world. Initial insights pointed to large and complex amalgamations of different fields, techniques and tools. Above all, BD as a ...

Machine translation, using the transfer approach, generally follows different phases: morphology, syntax, and semantics. Morphology refers to the study of the structure of words or how words are formed [6]. Syntax deals with how words can be combined ...

The cross-stage reverse logistics planning is a key issue in the supply chain management. This paper emphasizes to propose a mathematical model for the cross-stage reverse logistics planning problem. We focus on the analysis on how to send the good ...

Cancer is one of main non-communicable diseases. Acute Lymphoblastic Leukemia (ALL), a type of white blood cancer, is one of the most common pediatric cancers. Analysis of cancer prognosis is necessary to determine the proper treatment for each patient. ...

Recently, a modified zeroing neural network (MZNN) model has been presented for solving quadratic programming problems, which is of noise-tolerant ability. In this paper, we conduct further investigations on such a model and then present a nonlinear ...

Crime analysis using data mining techniques have been a possible solution to aid law enforcement officers to mitigate crime related problems. In this paper, a geospatial data analysis was conducted for detecting the hotspots of criminal activities in ...