Satria Mandala, S. N. Anggis, M. S. Mubarok, Shamila
{"title":"Energy efficient IoT thermometer based on fuzzy logic for fever monitoring","authors":"Satria Mandala, S. N. Anggis, M. S. Mubarok, Shamila","doi":"10.1109/ICOICT.2017.8074640","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074640","url":null,"abstract":"Information Communication Technology (ICT), especially Internet of Thing (IoT), has received many attentions from many researchers. In healthcare, IoT has proven in improving the quality of health services. Many IoT-based digital systems, such as WIFI digital thermometer, Telemetry Digital Pacemaker and Remote Digital Blood Pressure, have been developed recently. The systems allow physicians in hospitals to remotely monitor the condition of patients continuously. It enhances the quality of caring for the patients to be anytime and everywhere. However, most of the systems have been developed without considering energy issues. As a result, most of the systems may be suspected wasteful of energy consumption due to data transmission occurs frequently and continuously. In the other hand, research reports on the energy consumption of the systems have not been performed. It causes difficulty in obtaining data on the energy consumption of monitoring fever body temperature. To address these issues, this research develops an IoT-based digital thermometer that is called HI-Thermo. HI-Thermo is an adaptive system that is utilized fuzzy logic to optimize the use of energy on the proposed system. Fuzzy logic saves energy by controlling the transmission interval in Hi-Thermo. Several experiments have been conducted to evaluate the performance of HI-Thermo; and rigorous data results have been analyzed from the experiments. The results show that HI-Thermo saves energy of monitoring significantly. For fever body temperature monitoring, the proposed system consumes 15% lower than the existing traditional monitoring of body temperature, which does not implement the fuzzy logic.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115874361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Daubechies wavelet transformation to optimize modeling calibration of active compound on drug plants","authors":"A. A. Rohmawati, Adiwijaya","doi":"10.1109/ICOICT.2017.8074666","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074666","url":null,"abstract":"In modeling calibration, a dependency among predictor variables becomes major problem resulting in a not unique given model parameter estimation. This problem may degrade the performance value of the calibration model. A concentration of drug's active compound in 20 locations involving the proceeds percent transmittance observed at 1866 wavelengths as a predictor variable. The magnitude of the dimensions of the predictor variables do not guarantee the independency between variables. PCA or PLS become a mainstay method from several researches to overcome dependency by reducing the dimensions of the predictor variables. The information reduction process by wavelet becomes a major concern. A Daubechies wavelet is able to caover a polynomial trend, while the Haar wavelet is discontinuous function. In this paper, we investigate the Daubechiese and Haar wavelet perfomance to handle multi-dependency in case of overdimension on calibration model. Moreover, the performance of Haar and Daubechies may be assessed through the RMSEP regression model. The dimension reduction process through Daubechies wavelet provides better prediction accuracy of calibration models than PCA or PLS.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125649920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A survey on optimistic fair exchange protocol and its variants","authors":"Jia-Ch'ng Loh, Swee-Huay Heng, Syh-Yuan Tan","doi":"10.1109/ICOICT.2017.8074660","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074660","url":null,"abstract":"The notion of optimistic fair exchange (OFE) protocol was proposed by Asokan et al. in order to solve the problem of exchanging items or services in a fair manner between a signer and a verifier. There are various OFE protocols and variants in the literature, and they possess different security properties. In this paper, we provide an overview on the development of OFE protocol and its variants, namely, ambiguous OFE, perfect ambiguous OFE, privacy preserving OFE, accountable OFE, and group-oriented OFE. In precise, we investigate the security properties, evolutions and relationships among them. We also provide an evolution tree diagram to present their developments as well as three comparison analysis tables to compare and contrast their security properties.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125267839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classifying drivers using electronic logging devices","authors":"Low Jia Ming, I. Tan, Poo Kuan Hoong","doi":"10.1109/ICOICT.2017.8074705","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074705","url":null,"abstract":"In the era of personalization, being able to determine the risk of individual drivers and hence provide suitable insurance coverage to them would be a logical step. This paper proposes risk scoring for motor insurance using logged data of the drivers that are collected electronically. The proposed method uses machine learning to create a model that can be applied using the logged data. Initial studies conducted were able to achieve up to an accuracy of 79.4%. With further improvement, it can provide a suitable individual risk scoring for insurance premium computation.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126336659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. E. Mital, Michael, Vincent C. Olarte, Neil Brian S. Ong, Diane Clarisse F. Ortega, Mark Tristan R. Uy, Josyl Mariela B. Rocamora, Edison A. Roxas, Angelo R. dela Cruz, R. R. Vicerra
{"title":"Characterization of underwater optical data transmission parameters under varying conditions of turbidity and water movement","authors":"M. E. Mital, Michael, Vincent C. Olarte, Neil Brian S. Ong, Diane Clarisse F. Ortega, Mark Tristan R. Uy, Josyl Mariela B. Rocamora, Edison A. Roxas, Angelo R. dela Cruz, R. R. Vicerra","doi":"10.1109/ICOICT.2017.8074642","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074642","url":null,"abstract":"Optical communication is one of the primary sought alternative techniques used in underwater transmission, as it is utilized in many applications such as military, seismic and oceanographic activities. Although there are already existing technologies in underwater communication, it still has a lot of concern regarding its parameters and improvement in every aspect possible. Currently, Underwater Optical Communication (UWOC) is one of the principal interests for underwater related studies, but these researches mainly focus on transmission of signal on still and clear water. Hence, this study aimed to characterize multiple different parameters, such as luminous flux, and bit error rate, which are important in analysing optical data transmission at varying levels of turbidity and under the condition of controlled water movement by using a River flow simulator/ Hydro-kinetic Turbine Testing Platform (RS/HTTP). High bit error rate (BER) and minimal luminous efficiency are the general effects of increasing turbidity, distance and speed of water movement.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133687651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert Martin C. Santiago, John Anthony C. Jose, A. Bandala, E. Dadios
{"title":"Multiple objective optimization of LED lighting system design using genetic algorithm","authors":"Robert Martin C. Santiago, John Anthony C. Jose, A. Bandala, E. Dadios","doi":"10.1109/ICOICT.2017.8074698","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074698","url":null,"abstract":"In order to maximize the advantages of LED lighting systems for controlled environment agriculture (CEA), several considerations must be taken into account such as the achievement of required daily light integral (DLI), uniform light distribution over the plant growing area, and minimize the investment and operating costs associated with the lighting system. This study aims to apply the multiple objective optimization of genetic algorithm in designing a lighting system that meets the mentioned objectives. The optimization variables, number of bits per variable and maximum number of iterations are fixed parameters tuned to the requirements of this application and the population size, mutation rate, and selection rate are genetic parameters for explorations. Results of the algorithm suggest the use of a number of LED lamps that is 31.25% lower than the maximum number of lamps that may be used in the plant growing area and, consequently, reduce the investment and operating costs while maintaining the required light integral capacity and uniformity. This and other studies that aim to develop and optimize LED lighting systems open more possibilities and promote the technology for controlled environment. Moreover, control and optimization of agricultural practices can lead to better plant quality and production even on locations and periods that they do not usually grow.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133710203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Man woman detection in surveillance images","authors":"D. Chahyati, M. I. Fanany, A. M. Arymurthy","doi":"10.1109/ICOICT.2017.8074682","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074682","url":null,"abstract":"Human gender detection from body profile is an important task for surveillance. Most surveillance cameras are placed at a distance such that it is not possible to see people's face clearly. In this paper, we report the comparison between fast-feature pyramids and deep region-based convolutional neural network (RCNN) to detect a person in surveillance images. Since RCNN performs better in detecting a person, further training is applied to the RCNN to detect man and woman. Transfer learning strategy is used due to a small number of training images. The result shows that the trained RCNN can detect man and woman with promising result.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124316948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The critical success factors model for e-Government implementation in Indonesia","authors":"G. S. Fajar Surya, Asti Amalia","doi":"10.1109/ICOICT.2017.8074711","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074711","url":null,"abstract":"Information Technology Utilization (ITU) considered as one of success factor for public sector services in the government organization. As one of the countries that conduct bureaucratic reforms, Indonesia has sought to implement IT as an embodiment of Presidential Instruction (Inpres) in 2013, which contains the implementation of e-Government services. Through e-Government services, public service processes in Indonesia targeted to be more effective, efficient, accountable and transparent. In order to reduce the failure of e-Government implementation process, determining success factors would be an adding value thus also leads to the successful of service implementation. Several type of research have been conducted in regards to successful of e-Government implementation, especially on Critical Success Factor (CSF). Through Meta-Ethnography approach, this study revealed four critical success factors of e-Government Implementation in Indonesia, namely: organization, processes, people and technology. Further, the proposed model of this CSF will be tested in government organization across Indonesia.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114359094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. W. Sholikah, A. Arifin, D. Purwitasari, C. Fatichah
{"title":"Co-occurrence technique and dictionary based method for Indonesian thesaurus construction","authors":"R. W. Sholikah, A. Arifin, D. Purwitasari, C. Fatichah","doi":"10.1109/ICOICT.2017.8074649","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074649","url":null,"abstract":"Thesaurus as control vocabulary can be an important tool in Natural Language Processing (NLP). However, constructing a thesaurus manually by experts can be time consuming. Besides that the subjectivity of each expert can affect the structure of the thesaurus. A lot of method has already been implemented to build an automatic thesaurus in languages that categorized as rich language resources. In poor language resources such as Indonesia, the research about this field is still limited. This paper proposed a framework to construct a thesaurus in Indonesian language using monolingual corpus. The method will use Indonesian dictionary and large monolingual corpus from news articles. The candidate related terms will be extracted from every resource, then the two candidate will produce the final result of thesaurus. The evaluation is done by using the thesaurus as QE (Query Expansion) resource in IR (Information Retrieval) system. The experimental results show that using the automatic thesaurus can obtain the precision and recall of the system with 54.00% and 85.42%, respectively.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131701670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pornnapa Panyadee, P. Champrasert, Chuchoke Aryupong
{"title":"Water level prediction using artificial neural network with particle swarm optimization model","authors":"Pornnapa Panyadee, P. Champrasert, Chuchoke Aryupong","doi":"10.1109/ICOICT.2017.8074670","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074670","url":null,"abstract":"Flash flood is a natural disaster that causes great losses. It happens mostly in rural areas when heavy rainfall is gathered into the main river in watershed areas. Lots of water comes into the river. This causes a great volume of water flows down to the downstream river area. The water level at the downstream river should be predicted to issue the warning messages to the villagers in the floodplains before the flood arrival. Thus, a flash flood early warning system is a solution to reduce damage from flash floods. Although the artificial neural network (ANN) can be applied as the prediction model, the accuracy of the prediction results depends on the parameter values (e.g., the number of previous data, the period of previous data). This paper proposes to apply the particle swarm optimization technique to tune up the parameter values in the ANN. The proposed model, called W-POpt model, consists of two components, which are 1) PSO is applied as optimizer to search for the optimal parameter values for the ANN training process, and 2) ANN is applied to find the predicted water level. The evaluation results show that PSO yields the optimal parameter values. Applying PSO can reduce the training process time in ANN. The predicted water level from the W-POpt model is acceptable for applying in flash flood early warning systems.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}