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Model Driven Engineering (MDE) gives new insights into software engineering and software development. This approach is quite new and it still is the subject of discussion concerning its efficiency and usefulness. However, MDE approach becomes more and more popular among researchers and developers. That is why it is being introduced into curricula by many universities. MDE proposes a new way of software...
The Great East Japan Earthquake caused catastrophic damage to Iwate Prefecture, Miyagi Prefecture, and Fukushima Prefecture. A lot of relief supplies were sent to these stricken areas from all over the country in case of the Great East Japan Earthquake. However, since the relief supplies accumulation hub got confused by management and sorting work of relief supplies, "the relief supplies shortage...
Some authenticated data structures (ADS) can reduce authentication cost with using signature aggregation method, such as authenticated skip list, merkle hash tree etc. But these ADS cannot solve the complicated authenticated problems, such as relational query authentication. Pang et al present signature chain scheme aims at various types of relational query but has high cost. Therefore an improved...
This paper describes a study that examines the effect of cohesion-based feedback on a team members' behaviors in a global software development project. Chat messages and forum posts were collected from a software development project involving students living in the US and Mexico. Half of the teams in the project received feedback in the form of a graphical representation that displayed the group's...
Data drives all aspects of our society, from everyday life, to business, to medicine, and science. It is well known that query personalization can be an effective technique in dealing with the data scalability challenge, primarily from the human point of view. In order to customize their query results, users need to express their preferences in a simple and user-friendly manner. There are two types...
We propose a new confidence measure to evaluate the eye detection results and combine two different eye detectors. The confidence for the results of eye detection is measured by the distances from the test sample and the positive samples, where the distance is calculated in the composite feature space. By using the proposed confidence measure, we construct a hybrid detector by combining two different...
Biometric identification verifies user identity by comparing an encoded value with a stored value of the concerned biometric characteristic. Multimodal person authentication system is more effective and more challenging. The fusion of multiple biometric traits helps to minimize the system error rate. The benefit of energy compaction of transforms in higher coefficients is taken here to reduce the...
Large online music collections often frustrate users and have increased the importance of recommender systems. This has led to interesting problem of automated playlist generation. Most of the existing playlist's compare a pair songs based on low-level/mid-level features and calculate the similarity. These systems lack user perception of music. This work supplements such existing systems by providing...
In this paper we have described the methodologies that we have used in data collection and recording for our Hindi Text to Speech system. Design of the speech corpus plays a very important role in overall quality of the text-to-speech system. A huge text corpus of one million words was created for existing text-to-speech system. We have crawled text from many domains like financial, government, current...
This paper proposes the taboo words similarity browsing system which is able to assist the naming process. The proposed system in this paper analyzes new texts - new words or sentences - into phonemes, compares their similarities of pronunciations between new words and taboo words from various language cultural areas. The system supports the effective visualization interfaces in order to visualize...
Easy and open development environments of Android make itself not only as the most famous platform in the world but also as the most preferred platform for malicious users. In this paper, we propose a new approach to protect the private phone number data in smartphones from leaking and stealing through malicious applications. Our approach differently deals with trusted and suspicious applications...
Hyperspectral face images present productive information captured using a Hyperspectral camera compared to normal RGB camera capturing face images. Hyper spectral imaging is the collecting and processing of information from across the visible electromagnetic spectrum. Hyper spectral imaging deals with the imaging of narrow spectral bands over a continuous visible spectral range, and produces the spectra...
In this paper, a framework for synthesizing Telugu emotional speech for story telling applications is presented. An XML based markup langauge, SABLE is used to synthesize the emotions from a given story text. SABLE markup defines a set of tags to improve the quality of the synthesized speech from the concatinative speech synthesizer. In this work, a subset of prosody tags are used to synthesize the...
We propose a method for automatically determining the amount of each ingredient used to prepare a commercial food using the information provided on its label. The method applies when no part of any ingredient is removed in the preparation process and as long as we can collect the nutrition data (e.g., from the USDA Food Database) for at least some of the ingredients. Using this information, we first...
This paper aims to study the customer service desk at National Education Network (NEdNet) using incident management. It is conducted in order to identify the difficulty of using the NEdNet system properly, to reduce the time of incident analysis and operation time of restoring services to the normal condition as well as to support a large number of members in the future. This research proposes the...
Divers features of human body are being explored on daily basis for person identification based on their uniqueness to individuals. The use of fingerprint in crime investigation has come to stay, but criminals are getting smarter by protecting their fingerprints from being evidence at a crime scene. Concealing of footprint or shoe print is yet to become popular, some criminals still go bare footed...
In this paper we come up with a novel approach for the early detection of events in blog entries. The detection of trend is already discussed pretty often. Nevertheless, in our understanding the detection of events goes one step further. The presented algorithms detects unique happenings at a given point in time by perceiving unusual frequent occurrences of words or word groups. We introduce an implementation...
XML databases are widely used in many different areas. They are multi user systems and can store a huge amount of data. Sensitive and important data need to be protected and stored securely. We have developed a dynamic trust based access control for XML databases to improve the security level and prevent malicious transactions from both internal and external users. Our system tracks user history of...
In the last decades, a lot of different e-learning platforms have established. There are several types of them for example teleteaching platforms. For a couple of years, MOOC platforms have come up and have been enjoying great popularity. In this paper we analyze how important teleteaching platforms are in times of MOOCs. A teleteaching platform is understood as an online service which offers live...
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