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28,188 Article Results

Exudate and Blood Vessel Feature Extraction in Diabetic Retinopathy Patients using Morphology Operation

10.12928/telkomnika.v14i4.3714
Siswo; Universitas Sultan Ageng Tirtayasa Wardoyo , Anggoro Suryo; Universitas Sultan Ageng Tirtayasa Pramudyo , Erika Diana; Universitas Sultan Ageng Tirtayasa Rizanti , Imamul; Universitas Sultan Ageng Tirtayasa Muttakin
Diabetic Retinopathy is one of the retina complications caused by diabetic disease with observable symptoms such as emergence of exudate and new blood vessels. The tool used to screen it is a fundus camera. However, analyzing the fundus image should be done by doctor who is an expert and will require a lot of time. Therefore, automatic feature detection can assist doctor in processing the retinal image in analyzing diabetic retinopathy disease. The proposed method has been tested on the morphological operations of the fundus image from Cicendo Eye Hospital, Bandung. The calculation results on feature extraction exudate area has a range of 0 pixels for normal retinal image, 17-21213 pixel for retinal image NPDR, and 125-12299 retinal image pixel for PDR. The calculation results on the extraction area of blood vessels has a range of 13319-46681 pixel to the normal retina, the retinal image 7435-49938 pixel for NPDR, and 13.81-53.802 retinal image pixel for PDR.
Volume: 14
Issue: 4
Page: 1493-1501
Publish at: 2016-12-01

Multi-Stage Partial Parallel Interference Cancellation Algorithm for MUSA Systems

10.12928/telkomnika.v14i4.4052
Yan; ChongQing University of Posts and Telecommunications Liang , Han; ChongQing University of Posts and Telecommunications Wu , Guangyu; ChongQing University of Posts and Telecommunications Wang
Multi-User Shared Access is a non-orthogonal multiple access scheme of 5G,which has a high computational complexity and a large time delay due to the usage of successive interference cancellation detection algorithm. This paper proposes a multi-stage partial parallel interference cancellation detection algorithm, which does not require repeated ordering and repeated matrix inversion. In the first stage of detection, the bits of these users with good channel conditions will be outputted, and the influence of multiple access interference on users with bad channel conditions in the second stage will be decreased. Theoretical analysis and simulation results show that the symbol error rate of the proposed algorithm is slightly better than that of the two-stage MMSE-PIC, and the complexity is reduced. In the meanwhile, the computational complexity is significantly reduced without SER performance degradation when compared with MMSE-SIC algorithm.
Volume: 14
Issue: 4
Page: 1390-1396
Publish at: 2016-12-01

Water Quality Monitoring with Fuzzy Logic Control based on Graphical Programming

10.12928/telkomnika.v14i4.3505
Mochammad Hannats Hanafi; Universitas Brawijaya Ichsan , Wijaya; Universitas Brawijaya Kurniawan , Miftahul; Universitas Brawijaya Huda
Water quality is the most important aspect to ensure success in various aspects of life, for example in the shrimp ponds. On a shrimp pond, water conditions are very vital because it has a very strict threshold. Unstable water conditions will affect growth and condition of shrimps, eat passion of shrimps, until their ability to survive greatly affect the survival of the shrimps. The percentage of farmers harvesting shrimps if the water did not have good conditions then the farmers will suffer significant losses if yields were not as expected, began from the amount of shrimp that was reduced due to death or the quality of the shrimp were judged from the size of the shrimp. So the authors wanted to do research on how to maintain the quality of the water in shrimp pond so that the water quality is maintained. To overcome this, we need to monitor water conditions based on the level of salinity and turbidity of water in order to stay in good condition. In this case, the researchers used fuzzy logic to monitor the amount of water quality and water volume. In this study only conducted water quality monitoring process but to do water changes to a certain condition still conducted manually. As well as the programming language used as the NI LabVIEW graphical programming with the application form to see monitoring of water quality so that water conditions are well preserved.
Volume: 14
Issue: 4
Page: 1446-1453
Publish at: 2016-12-01

Factors Influencing User’s Adoption of Conversational Recommender System Based on Product Functional Requirements

10.12928/telkomnika.v14i4.4234
Z.K. Abdurahman; Institut Teknologi Bandung Baizal , Dwi H; Institut Teknologi Bandung Widyantoro , Nur Ulfa; Institut Teknologi Bandung Maulidevi
Conversational recommender system (CRS) helps customers get products fitted their needs by repeated interaction mechanisms. When customers want to buy products having many and high tech features (e.g., cars, smartphones, notebook, etc.), most users are not familiar with product technical features. The more natural way to elicit customers’ needs is by asking what they really want to use with the product they want (we call as product functional requirements). In this paper, we analyze four factors, e.g., perceived usefulness, perceived ease of use, trust and perceived enjoyment  associated to user’s intention to adopt the interaction model (in CRS) based on product functional requirements. Result of experiment using technology acceptance model (TAM) indicates that, for users who aren’t familiar with technical features, perceives usefulness is a main factor influencing users’ adoption. Meanwhile, perceived enjoyment plays a role on user’s intention to adopt this interaction model, for users who are familiar with technical features of product.
Volume: 14
Issue: 4
Page: 1575-1585
Publish at: 2016-12-01

Paper-based Verification Design of Trade Business License in Indonesia

10.12928/telkomnika.v14i4.2915
Pizaini; Universitas Islam Negeri Sultan Syarif Kasim Riau Pizaini , Sugi; Institut Pertanian Bogor Guritman , Heru; Institut Pertanian Bogor Sukoco
The trade business license certificate (SIUP) is a paper-based license to conduct trade businesses in Indonesia issued by the government. Until today, there is no mechanism for verifying the validity of document unless to verify it manually. The current paper presents a design that allows paper-based verification of the printed trade business license. It aims to provide the verification mechanism and ensure the document validity. Our design implemented digital signature with QR Code image that placed into the document and the digital certificate issued by a certification authority (CA). The proposed scheme generated 442Bytes of data and version 14 of QR Code to scan easily by a reader device. The experimental result indicates that our scheme is easy and feasible to implement in Indonesia with guaranteed the document integrity, authentication, and nonrepudiation.
Volume: 14
Issue: 4
Page: 1527-1533
Publish at: 2016-12-01

Supervised Entity Tagger for Indonesian Labor Strike Tweets using Oversampling Technique and Low Resource Features

10.12928/telkomnika.v14i4.3876
Ayu; Bandung Institute of Technology Purwarianti , Lisa; Vienna University of Technology Madlberger , Mochammad; University of Indonesia Ibrahim
We propose an entity tagger for Indonesian tweets sent during labor strike events using supervised learning methods. The aim of the tagger is to extract the date, location and the person/organization involved in the strike. We use SMOTE (Synthetic Minority Oversampling Technique) as an oversampling technique and conducted several experiments using Twitter data to evaluate different settings with varying machine learning algorithms and training data sizes. In order to test the low resource features, we also conducted experiments for the system without employing the word list feature and the word normalization. Our results indicated that different treatment of different types of machine learning algorithms with low resource features can lead to a good accuracy score. Here, we tried Naïve Bayes, C4.5, Random Forest and SMO (Sequential Minimal Optimization) algorithms using Weka as the machine learning tools. For the Naïve Bayes, due to the data distribution based of the class probability, the best accuracy was achieved by removing data duplication. For C4.5 and Random Forest, SMOTE gave higher accuracy result compared to the original data and the data with data duplication removal. For SMO, there is no significant difference among various sizes of training data.
Volume: 14
Issue: 4
Page: 1462-1471
Publish at: 2016-12-01

Planning and Coordination in Hierarchies of Intelligent Dynamic Systems

10.12928/telkomnika.v14i4.4997
Alexander Yakovlevich; Kola Science Centre of the Russian Academy of Sciences Fridman
On the basis of the known principle of interactions prediction (Mesarovic), our earlier proposed incremental coordination principle is extended over hierarchical collectives of intelligent dynamic systems (IDSs) after Gennady Osipov. Such systems admit arbitrary types of variables in their state vector and thereby allow investigating more general dynamic systems than “classical” ones defined in numerical state spaces. Using the concept of effective N-attainability (Osipov), a straightforward procedure of planning for hierarchical collectives of IDS is developed. As soon as a plan for reaching a goal state from the current one is found, effective implementation of this plan requires for coordination of IDSs taking their parts in the collective. We consider both aspects of coordination (coordinability with respect to the coordinator’s task and coordinability in relation to the global task) and infer necessary conditions of the coordinability for a locally organized hierarchy of IDSs.
Volume: 14
Issue: 4
Page: 1408-1416
Publish at: 2016-12-01

Energy Efficient Error Rate Optimization Transmission in Wireless Sensor Network

10.12928/telkomnika.v14i4.4013
Sharada K; JJT University, Rajasthan A , Siddaraju; Dr. Ambedkar Institute of Technology, Visvesvaraya Technological University (VTU) Siddaraju
Wireless Sensor Network is a collection of independent nodes and create a network for monitoring purposes in various scenarios like military operation, environmental operation etc. WSN network size is increasing very rapidly these days, due to large network size energy consumption is also increased and it has small battery, lifetime of network   decreases due to early death of nodes and it impact the overall system performance. Clustering is a technique for enhance the network lifetime in WSN. Here in this paper we propose a new multi-objective adaptive swarm optimization (MASO) technique for clustering and computes the maximum number of clusters, which is best suited for the network. Each cluster has cluster head and cluster members and performed the task of local information extraction. Cluster head gathers all the extracted information from member nodes and send it to the base station, where base station performed global information extraction from all the cluster head nodes and generate some useful result. In MASO technique, object is used to find the best global position for the node and compare with existing position value. If new value is better than the old value, than node moves to a new position and object update their table for this new position. We are considering error probability in transmission of data packet in one hop communication. Here obtained the results are compared with other research in terms of overall network lifetime and effect on network lifetime when the size of the network is changed. We have fine tuned the node’s decay rate and throughput of the network.
Volume: 14
Issue: 4
Page: 1368-1375
Publish at: 2016-12-01

Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies

10.11591/ijai.v5.i4.pp135-142
Tushar Anthwal , M K Pandey
With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Volume: 5
Issue: 4
Page: 135-142
Publish at: 2016-12-01

Implementation and Analysis of Reversible logic Based Arithmetic Logic Unit

10.12928/telkomnika.v14i4.3230
Shaveta; Manav Rachna International University Thakral , Dipali; Manav Rachna International University Bansal , S.K.; EX-Manav Rachna International University Chakarvarti
There is a tremendous growth in fabrication from small scale integration (SSI) to giant scale integration (GSI). It however raises a question of sustainability of Moore's law due to almost intolerable levels of power consumption. Researchers have invented a lot of methods to reduce power consumption and recent technologies are switching to reversible logic. Reversible logic has various applications in fields of computer graphics, optical information processing, quantum computing, DNA computing, ultra low power CMOS design and communication. Arithmetic Logic Unit (ALU) is considered to be the basic building block of a CPU in the computing environment and portability in computing system highly demands reversible logic based ALU. Modern processors usually have a word length of 32 or 64 bits. Divide and conquer approach principle cascades n number of 1 bit ALU to implement n bit ALU. Several researchers have proposed 1-bit ALU design using various reversible logic gates. This paper aims at categorizing various ways of implementation in VHDL using Xilinx ISE design suit 14.2 tool and comparative analysis of existing 1 bit ALU designs in terms of optimization metrics like power consumption, number of gates, number of constant inputs, number of garbage outputs and quantum cost. ALU realized using carry save adder block is found to be most optimum design in terms of gate count and quantum cost.
Volume: 14
Issue: 4
Page: 1292-1298
Publish at: 2016-12-01

Binary LDPC Codes Decoding Algorithm Based on MRF and FPGA Implementation

10.12928/telkomnika.v14i4.4158
Zhongxun; Yantai University Wang , Wenqiang; Yantai University Wu
The improved LDPC code decoding algorithm mainly refereed to improving decoding performance or reducing the decoding computation complexity. No matter hard decision or soft decision LDPC code decoding algorithm, we can get all ring number by one test, instead of testing each long ring number, after optimizing ring detection algorithm. We putted forward the application of Gaussian Markov Random Field model to realize the source parameter estimation, and make logarithmic likelihood ratio correction of bit sequence received by the channel decoding end. Joining source residual redundancy information to increase the decoder error correction ability. Source estimation adaptive variable can correct coefficient, and it was regulated by error rate. Under the condition that computational complexity increasedlittlely, the LDPC code decoding algorithm based on MRF effectively improved the decoding performance and implemented the improvement of LDPC code decoding algorithm .In the end, we realized the decoding algorithm by using FPGA.
Volume: 14
Issue: 4
Page: 1383-1389
Publish at: 2016-12-01

Future Tech 5g Virtual Zero Latency

10.11591/ijict.v5i3.pp106-110
Nikitha Nikitha Nikitha
With the point of conveying any data in whenever and anyplace, the people to come (5G) remote communication systems turn into a style theme in the remote examination territories and new waveform, as one of the key empowering advances in 5G physical layer, pulls in developing exploration considerations lately. Be that as it may, the current method for waveform examination or investigation depends on the change of range productivity or use, while the majority of them neglects to research the vitality proficiency conduct, which is appeared to be the key execution metric of 5G frameworks. In this paper, the most part is concentrated on looking over the waveforms from the vitality proficiency perspective. Two classifications of waveforms, specifically channel based waveform and spreading-based waveform, are broke down and the related execution issues are talked about. Besides, we actualize the above waveforms utilizing programming characterized radio based model stage and produce the estimation results for the vitality productivity correlation.
Volume: 5
Issue: 3
Page: 106-110
Publish at: 2016-12-01

Research on Identification Method of Anonymous Fake Reviews in E-commerce

10.12928/telkomnika.v14i4.3654
Lizhen; Capital Normal University Liu , Xinlei; Capital Normal University Zhao , Hanshi; Capital Normal University Wang , Wei; Capital Normal University Song , Chao; Capital Normal University Du
In this paper, a new method has been proposed for identifying anonymous fake reviews generated by click farmers in E-commerce and improves the identification rates. Anonymous fake reviews are different from the gunuine reviews. They could be distinguished based on the credibility of users, the average daily number of evaluations, the content similarity, and the degree of word overlapping. The proposed method takes into account these 5 features to calculate the fake reviews content by constructing multivariate linear regression model, Experiments show that this prelimilnary work performed well in identifying fake reviews in Chinese E-commerce website. The extracted features are also useful to identifying the fake reviews when the reviewer’s identification is not accessable.
Volume: 14
Issue: 4
Page: 1510-1520
Publish at: 2016-12-01

Multi Features Content-Based Image Retrieval Using Clustering And Decision Tree Algorithm

10.12928/telkomnika.v14i4.4646
Kusrini; STMIK AMIKOM Yogyakarta Kusrini , M. Dedi; STMIK AMIKOM Yogyakarta Iskandar , Ferry; STMIK AMIKOM Yogyakarta Wahyu Wibowo
The classification can be performed by using the decision tree approach. Previous researches on the classification using the decision tree have mostly been intended to classify text data. This paper was intended to introduce a classification application to the content-based image retrieval (CBIR) with multi-attributes by using a decision tree. The attributes used were the visual features of the image, i.e. : color moments (order 1, 2 and 3), image entropy, energy and homogeneity. K-means cluster algorithm was used to categorize each attribute. The result of categorized data was then built into a decision tree by using C4.5. To show the concept in application, this research built an application with main features, i.e.: cases data input, cases list, training process and testing process to do classification. The resulting tests of 150 rontgen data showed the training data classification’s truth value of 75.33% and testing data classification of 55.7%.
Volume: 14
Issue: 4
Page: 1480-1492
Publish at: 2016-12-01

The Role of Village Surveillance Officer to Prevent Dengue Hemorrhagic Fever

10.11591/ijphs.v5i4.4847
Sunarsih Sunarsih , Kuntoro Kuntoro , Chatrin U.W , Nugroho Susanto
Dengue is a major public health problem in Indonesia. The program of elimination of mosquito breeding places is still low. This study was aimed to analyze the effectiveness of village surveillance officer for decrease container index. Study design was quasy experiment. The intervention included: community workshops; community involvement in clean-up campaigns; and distribution of information, education and communication materials in the village surveillans officer. Data were analyzed with t test, and path way analyzed. There is significantly differences knowdlege, attitude, behaviour, sanitation, and container index p<0.05. Based on the path analysis was concluded that village surveillance officer increased knowledge, attitude, behavior, sanitation and container index.Surveillance village officer is concluded to be more effectively decreased of larva index through comunity behavior. Surveillance village officer is important because it effectively the coverage of larva index through community behaviour participation.
Volume: 5
Issue: 4
Page: 433-436
Publish at: 2016-12-01
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