International Journal of Computer Techniques

1-5

Authors: Lisna Zahrotun, Yana Hendriana, Damba Saputra

Early Childhood Education (ECE) is very important to do well in a home environment as well as in the educational environment of pre-school. Education pre-school children at age 2 to 3 years is the formation of character, where education is stressed here in the picture, sound and movement combined with an attractive shape and color. At this age children begin to recognize the objects around it. The introduction of culture is also one of the curriculum in pre-school education. To help children recognize the surrounding culture then designed introduction to the culture medium of learning for children aged 2 to 3 years. Where learning media aims to help children in recognizing culture. In this study generated media that can provide an alternative to teachers in pre-school learning environment. In addition the children will be easier to recognize the culture while also able to train the child's motoricskill in moving the mouse and clicking on the image. Children's learning also feel happy and not bored. Keywords —Learning Media, Motoric Skills, Culture.

20-26

Authors: Mr. Nilesh Mali, Mr.SachinBojewar

In most of the organizations valuable data is wasted because of its different formats in various resources. Data warehouses (DWs) are central repositories of integrated data from different disparate sources with an objective to support in decision making process. The Extraction-Transformation-Loading (ETL) processes are the key components of DWs, so the selection of ETL tool is complex and important issue in DWs. ETL is a process of extraction of data, their transformation to desire state by cleaning it, loading it to a target database. This paper first focus the ETL process briefly then discuses analysis of some of the ETL tools based on the generalized criteria for selection of better tool for the improvement of business growth.

30-33

Authors: K.Ravikumar,V. Vinothkumar

The delay-tolerant-network (DTN) model is becoming a via communication alternative to the traditional infrastructural model for modern mobile consumer electronics equipped with short-range communication technologies such as Bluetooth, NFC, and Wi-Fi Direct. Proximity malware is a class of malware that exploits the opportunistic contacts and distributed nature of DTNs for propagation. Behavioral characterization of malware is an effective alternative to pattern attaching in detecting malware,especially when dealing with polymorphic or obfuscated malware. In this paper, we first propose a general behavioral characterization of proximity malware which based on Naive Bayesian model. We identify two unique challenges for extending Bayesian malware detection to DTNs and propose a simple yet effective method, look-ahead, to address the challenges.Furthermore, we propose two extensions to look-ahead, dogmatic filtering and adaptive look-ahead, to address the challenge of “malicious nodes sharing false evidence”. Real mobile network traces are used to verify the effectiveness of the proposed methods.

37-39

Authors: K.Ravikumar, A. Surendar

Cloud computing is a working; process involves virtualization, distributed computing,networking, software and web services. A cloud consists of several elements such as clients, datacenter and distributed servers. It includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. Cloud computing deliver the computing as a services whereby share resources, software, information via Internet which are accessed by the browser. The business software and data are stored in server at Remote Location, Cloud computing provides the kinds of services that are Infrastructure, Software, platform as a services. Gossip Protocol is effective protocol for the dynamic load balance in the distributed system and continuously execute process input & output process. Resources allocation policies are computed by protocols. Our contribution includes outlining distributed middleware architecture and presenting one of its key elements: a gossip protocol that (1) ensures fair resource allocation among sites, (2) dynamically adapts the allocation to load changes and (3) scales both in the number of physical machines and applications. The protocol continuously executes on dynamic, local input and does not require global synchronization, as other proposed gossip protocols.

44-52

Authors: Honorine Mutazinda A,Mary Sowjanya ,O.Mrudula

The paper presents a clustering ensemble method based on ensemble clustering approach for mixed data. A clustering ensemble is a paradigm that seeks to best combine the outputs of several clustering algorithms with a decision fusion function to achieve a more accurate and stable final output.Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categorical attribute and these algorithms were not generally scalable for large datasets. However; datasets with mixed types of attributes are common in real life data mining applications. So a novel divide-andconquer technique is designed and implemented to solve this problem.First, the original mixed dataset is divided into two sub-datasets: the pure categorical dataset and the pure numeric dataset. Next, existing well established clustering algorithms designed for different types of datasets are employed to produce corresponding clusters. Last, the clustering results on the categorical and numeric dataset are combined as a categorical dataset, on which the categorical data clustering algorithm is used to get the final clusters.

61-66

Authors: Hadi Ghadimkhani, Ali Habiboghli, Rouhollah Mostafaei

In this article, we first normalized data by using random sampling conducted and chose a limited number of data. Then we determined the two types of clusters using hours and non-working hours and hours, and we implement the clusters ID3 and Decision tree algorithms. The results of our proposed method show that ID3 algorithm for high power at sorting and classification acts better than Decision tree. The purpose of this paper is to compare the performance of these two algorithms.

72-76

Authors: Karandeep Kaur, Ms. Poonamdeep Kaur, Ms. Lovepreet Kaur

The risk of coronary illness is increasing at a fast pace and it's been scowling at us for a considerable length of time, making us doubt each subtle element of our confounded way of life decisions, eating regimen and level of physical movement. It's been a main executioner in the West and has now forcefully advanced toward India. As indicated by government information, the pervasiveness of heart disappointment in India because of coronary illness, hypertension, corpulence, diabetes and rheumatic coronary illness ranges from anyplace between 1.3 to 4.6 million, with a yearly frequency of 491,600 to 1.8 million. But because of impreciseness of the diagnosis tools less than 68 per cent of heart diagnosis yield correct results. To make the odds go higher, this research presents a novel algorithm whose key idea is germinated from classical association rule mining.

81-83

Authors: R. Bharathi

The peoples are before the purchasing invention to see the product reviews on internet. But some time the reviews are often not confidentiality and provide difficult about product aspect and people could not identify the review information via internet. Nowadays online shopping plays an excellent role in our life. Peoples are more comfortable to buy online products at the same time manufacturers also provide reliable products .Most retail Websites promotes consumers to write their feedbacks about products to express their opinions on various aspects of the products. The web contains outstanding source of consumer opinions. A product may have thousands of aspects. Different kinds of users give their different kinds of opinions .so the volume of the textual information increased rapidly. It is difficult for users to read all the reviews to make a good decision. It is also difficult for manufacturers and providers. These needs extracted aspects and estimated ratings clearly provide more detailed information of users to make decisions and for suppliers to monitor their customers. In this research, we aim to mine and to summarize all the customer reviews of a product. This summarization task is different from traditional text summarization because we only mine the features of the product on which the customers have expressed their opinions and whether the opinions are positive or negative. We do not summarize the reviews by selecting a subset or rewrite some of the original sentences from the reviews to capture the main points as in the classic text summarization. Our task is performed in three steps. (1) Mining product features that have been commented on by customers. (2)Identifying opinion sentences in each review and deciding whether each opinion sentence is positive or negative. (3) Summarizing the results.

89-92

Authors: K.Ravikumar, S. Thamizharasi

Cloud Computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. A distributed cloud storage system contains collection of storage servers which continuously provides storage services to the third party or clients. The distributed cloud storage system must maintain the data confidentiality over the stored data in the storage server. This can be done by encoding over the encrypted data on the storage server. The distributed cloud storage system also maintains the robustness and functionality over the encoded and encrypted data. The distributed cloud storage system support data forwarding operations over encoded and encrypted messages.

98-102

Authors: Kirti Karande, Ibrahim Shaikh, Tanzeel Shaikh, Hardik Vaghela

Places where internet and cellular connectivity is weak and mobile devices are used, Bluetooth can prove to be a beneficial communication medium. Also, Android operating systems are quite often used in the organizations by the employees and the staff. Hence, we propose a Bluetooth based Android Chat Application that can communicate with a BT device outside the Bluetooth range of the Source device. For this, an adhoc network is created that acts as a mediator between the source and the destination BT device.The path within this network is found using the MPR flooding technique. As privacy of messages is crucial, RSA encryption is used for securing the messages.