International Journal of Informatics and Communication Technology (IJ-ICT)
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Cloud connected smart home gas cylinder platform based wifi control
Get PDFGas sensing technology has become topical research work for quite some time and we also want to protect our home asserts from any kind of hazards. In this work we take an overview on how to protect our home from fire and its safety issues based on wireless sensor network using wifi and cloud technologies. It also showcases the research done on the detection mechanism of leakage of domestic cooking gas at ambient condition. It can detect the fire, leakage of gas or smoke and sends an auto-generated email remotely to intimate the owner. We survey and examine the existing work in security system and its applications
Notice of Retraction A survey of arabic text classification models
No full textNotice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------There is a huge content of Arabic text available over online that requires an organization of these texts. As result, here are many applications of natural languages processing (NLP) that concerns with text organization. One of the is text classification (TC). TC helps to make dealing with unorganized text. However, it is easier to classify them into suitable class or labels. This paper is a survey of Arabic text classification. Also, it presents comparison among different methods in the classification of Arabic texts, where Arabic text is represented a complex text due to its vocabularies. Arabic language is one of the richest languages in the world, where it has many linguistic bases. The research in Arabic language processing is very few compared to English. As a result, these problems represent challenges in the classification, and organization of specific Arabic text. Text classification (TC) helps to access the most documents, or information that has already classified into specific classes, or categories to one or more classes or categories. In addition, classification of documents facilitate search engine to decrease the amount of document to, and then to become easier to search and matching with queries
A novel sketch-based 3D model retrieval approach based on skeleton
Get PDFSince the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm which adopts the radii of the disks at skeleton points and the lengths of skeleton branches to extract the histogram feature, and compare the similarity between two skeletons using the histogram feature matrix of skeleton endpoints. Experiment results demonstrate that our approach which combines these two algorithms significantly outperforms several leading sketch-based retrieval approaches
Power loss reduction by arctic wolf optimization algorithm
Get PDFThis paper proposes Arctic Wolf optimization (AWO) algorithm to solve the optimal reactive power problem. Deeds of the Arctic wolf have been imitated to formulate the proposed algorithm. Arctic wolf also identified as the white wolf or polar wolf is a breed of gray wolf inhabitant from Melville Island to Ellesmere Island. It is average size, very smaller when compared to north western wolf, it possess whiter coloration, narrower braincase and big carnassials. Particle swarm optimization, Genetic algorithm has been used to improve the Exploration & Exploitation ability of the algorithm by utilizes flag vector & position, velocity update properties. Proposed Arctic Wolf optimization (AWO) algorithm has been tested in standard IEEE 30 bus test system and simulation results show the projected algorithms reduced the real power loss considerably
Random routing scheme with misleading dead ends
Get PDFA new method of sink location security in a Wireless Sensor Network is proposed. In the proposed scheme, all the node addresses are encrypted and an attacker cannot determine the real sink address by capturing the packets and analyzing its contents for the final destination. The main contribution of our proposed method is to use random routing scheme with misleading dead ends. This provides security against traffic analysis attack
Predicting heart ailment in patients with varying number of features using data mining techniques
Get PDFData mining can be defined as a process of extracting unknown, verifiable and possibly helpful data from information. Among the various ailments, heart ailment is one of the primary reason behind death of individuals around the globe, hence in order to curb this, a detailed analysis is done using Data Mining. Many a times we limit ourselves with minimal attributes that are required to predict a patient with heart disease. By doing so we are missing on a lot of important attributes that are main causes for heart diseases. Hence, this research aims at considering almost all the important features affecting heart disease and performs the analysis step by step with minimal to maximum set of attributes using Data Mining techniques to predict heart ailments. The various classification methods used are Naïve Bayes classifier, Random Forest and Random Tree which are applied on three datasets with different number of attributes but with a common class label. From the analysis performed, it shows that there is a gradual increase in prediction accuracies with the increase in the attributes irrespective of the classifiers used and Naïve Bayes and Random Forest algorithms comparatively outperforms with these sets of data
Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain
Get PDFIn this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs
Security in wireless sensor networks
Get PDFEven in difficult places to reach, the new networking technique allows the easy deployment of sensor networks, although these wireless sensor networks confront a lot of constraints. The major constraint is related to the quality of information sent by the network. The wireless sensor networks use different methods to achieve data to the base station. Data aggregation is an important one, used by these wireless sensor networks. But this aggregated data can be subject to several types of attacks and provides security is necessary to resist against malicious attacks, secure communication between severely resource constrained sensor nodes while maintaining the flexibility of the topology changes. Recently, several secure data aggregation schemes have been proposed for wireless sensor networks, it provides better security compared with traditional aggregation. In this paper, we try to focus on giving a brief statement of the various approaches used for the purpose of secure data aggregation in wireless sensor networks
Design and architecture of wireless body area network using android application
Get PDFPatients in hospitals have issue with health instrumentality that's connected with wires to their body. Wired health instrumentality restricts the quality of the patient. Moreover, health caretaker’s area unit compelled to work the instrumentality and take the measurements. Hence, wireless observance of patient is incredibly effective resolution thereto drawback. The most target of this study was to analysis the present trend and prospect of wireless observance of patients within the hospitals. This study conjointly aims to create the epitome system to implement wireless observance. Additionally to that, this thesis conjointly studies most fitted technique for building the foremost effective wireless observance system. The sensing element nodes and receiver of the epitome were designed. Golem phone was used as entranceway to receive the information from sensing element node and forward the information into receiver. Bluetooth Low energy was wont to communicate between sensing element nodes and golem phone. LAN is employed to speak between golem phone and also the receiver that is connected to laptop. The sensing element readings were initially ascertained in Arduino Serial Monitor so sent to sink node. The sensing element readings of a body were displayed in golem phone and yet as within the web site. Real time information of sensing element was created and with success updated within the web site. The study of results and project showed that wireless observance would be terribly effective by exploitation Interference free, short vary and extremely secure suggests that of communication. Bluetooth low energy that is appropriate choice for the system. Style of sensing element nodes ought to be terribly tiny as a result of it's to be worn round the body. Therefore smaller parts ought to be used
Efficient datamining model for prediction of chronic kidney disease using wrapper methods
Get PDFIn the present generation, majority of the people are highly affected by kidney diseases. Among them, chronic kidney is the most common life threatening disease which can be prevented by early detection. Histological grade in chronic kidney disease provides clinically important prognostic information. Therefore, machine learning techniques are applied on the information collected from previously diagnosed patients in order to discover the knowledge and patterns for making precise predictions. A large number of features exist in the raw data in which some may cause low information and error; hence feature selection techniques can be used to retrieve useful subset of features and to improve the computation performance. In this manuscript we use a set of Filter, Wrapper methods followed by Bagging and Boosting models with parameter tuning technique to classify chronic kidney disease. The capability of Bagging and Boosting classifiers are compared and the best ensemble classifier which attains high stability with better promising results is identified