3,477 research outputs found

    Unsupervised Segmentation of Action Segments in Egocentric Videos using Gaze

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    Unsupervised segmentation of action segments in egocentric videos is a desirable feature in tasks such as activity recognition and content-based video retrieval. Reducing the search space into a finite set of action segments facilitates a faster and less noisy matching. However, there exist a substantial gap in machine understanding of natural temporal cuts during a continuous human activity. This work reports on a novel gaze-based approach for segmenting action segments in videos captured using an egocentric camera. Gaze is used to locate the region-of-interest inside a frame. By tracking two simple motion-based parameters inside successive regions-of-interest, we discover a finite set of temporal cuts. We present several results using combinations (of the two parameters) on a dataset, i.e., BRISGAZE-ACTIONS. The dataset contains egocentric videos depicting several daily-living activities. The quality of the temporal cuts is further improved by implementing two entropy measures.Comment: To appear in 2017 IEEE International Conference On Signal and Image Processing Application

    Implementasi Sistem Informasi Puskesmas Elektronik (SIMPUSTRONIK) dan Hubungan dengan Pelayanan Kesehatan Ibu dan Anak (KIA) (Studi Perbandingan Implementasi di Puskesmas Sumberasih dan Puskesmas Paiton Kabupaten Probolinggo)

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    Puskesmas sebagai penyedia sarana pelayanan kesehatan dituntut untuk memberikan pelayanan kesehatan yang cepat, tepat dan akurat. Oleh karena itu, merupakan suatu keharusan bahwa puskesmas memanfaatkan kemajuan informasi teknologi dalam memenuhi tuntutan pelayanan tersebut. Dengan pendekatan kuantitatif positivitik untuk menjelaskan hipotesa penelitian guna menjawab faktor implementasi yang mendukung dan kemanfaatan SIMPUSTRONIK. Survey yang dilakukan kepada bidan sebagai pelaksana SIMPUSTRONIK di Puskesmas Paiton dan Puskesmas Sumberasih Kabupaten Probolinggo menghasilkan 3 indikator implementasi yang tidak mendukung keberhasilan implementasi SIMPUSTRONIK yaitu pembagian tugas dan wewenang, keikutsertaan pengguna dalam pengembangan implementasi dan keikutsertaan pengguna dalam evaluasi implementasi. Sedang indikator yang diteliti lainnya menunjukkan adanya hubungan. indikator implementasi tersebut berhubungan erat dengan kesiapan SDM (pengetahuan SDM) serta keterkaitan keikutseraan (partisipasi) implementor. Hampir semua responden menunjukkan bahwa implementasi SIMPUSTRONIK bermanfaat dan mendukung kegiatan mereka dalam pelayanan KIA, tetapi yang terbesar adalah kemanfaatan penemuan ibu hamil resiko tinggi yang dirujuk

    Ecg-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree

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    Spontaneous prediction of malignant ventricular arrhythmia (MVA) is useful to avoid delay in rescue operations. Recently, researchers have developed several algorithms to predict MVA using various features derived from electrocardiogram (ECG). However, there are several unresolved issues regarding MVA prediction such as the effect of number of ECG features on a prediction remaining unclear, possibility that an alert for occurring MVA may arrive very late and uncertainty in the performance of the algorithm predicting MVA minutes before onset. To overcome the aforementioned problems, this research conducts an in-depth study on the number and types of ECG features that are implemented in a decision tree classifier. In addition, this research also investigates an algorithm’s execution time before the occurrence of MVA to minimize delays in warnings for MVA. Lastly, this research aims to study both the sensitivity and specificity of an algorithm to reveal the performance of MVA prediction algorithms from time to time. To strengthen the results of analysis, several classifiers such as support vector machine and naive Bayes are also examined for the purpose of comparison study. There are three phases required to achieve the objectives. The first phase is literature review on existing relevant studies. The second phase deals with design and development of four modules for predicting MVA. Rigorous experiments are performed in the feature selection and classification modules. The results show that eight ECG features with decision tree classifier achieved good prediction performance in terms of execution time and sensitivity. In addition, the results show that the highest percentage for sensitivity and specificity is 95% and 90% respectively, in the fourth 5-minute interval (15.1 minutes–20 minutes) that preceded the onset of an arrhythmia event. Such results imply that the fourth 5-minute interval would be the best time to perform prediction

    Effect of rainfall patterns on concentration of CO2, soil temperature and matric suction for acidic barren soil

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    This study is based on field monitoring of a soil-atmosphere toward on acidic barren soil. CO2 in the cavity are dependent on climatic parameters, mainly on the outdoor temperature during rainfall. Observations were taken over a longer period of time. Maximum CO2 values in the barren slope are reached in the warmest months and are in accordance with soil CO2 values. The maximum CO2 concentration in the barren slope is 3022 ppm on average, while the minimum is 2438 ppm. To describe the field findings, CO2 production and diffusion experiments related to the soil behavior were developed. The results showed that the soil CO2 production increases as the soil temperature and matric suction increase. The relationship between the gas diffusion coefficient and soil water suction is necessary data (i.e water evaporation or CO2 evolution above the soil surface)

    Reflective prism display using pepper’s ghost technique software toolkit plugin for unity 3d

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    Reflective prism display is a display technology that has potentials in displaying images with fascinating effects. However, the process of creating the display is quite challenging considering the lack of specialized software and bulky hardware setup. In this project, we propose a software toolkit plugin for Unity 3D, called Prismatic, to simplify the process as an alternative over the conventional method of creating a reflective prism display. Adopting the idea from Pepper’s ghost technique, a combination of four cameras facing an object were setup within Unity to produce four viewport renderings of the object, easily projected from a device as small as a smartphone to the size of widescreen TVs. This software toolkit combined with Unity offer simple and centralized control over camera, facets, and object. Prismatic has the potential in assisting apps developer in creating the display such as in showcasing models for education and business purposes

    Towards zero-waste campus: perception of the community in UTHM Pagoh campus on solid waste management system

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    The solid waste crisis has become one of the contributors to environmental issues such as climate change, environmental pollution and loss of rainforest. The contribution of Higher Educational Institutions (HEIs) in achieving sustainable development and society is undeniable. With the ethical and moral obligations to act responsibly towards the environment, they tend to become leaders in the movement for environmental protection. As a new branch of the Universiti Tun Hussein Onn (UTHM) campus, the UTHM Pagoh Campus aims to become one of the green campuses at Pagoh Educational Hub. A well-managed Solid Waste Management (SWM) can provide a number of benefits, such as reduction in waste disposal cost as well as creating awareness among the campus community. In this study, interviews were carried out with the stakeholders to obtain in-depth information regarding SWM on campus. From the interviews, it was found that the main challenges faced in implementing SWM on campus are: low awareness among the community; lack of policy and guidelines on SWM; and insufficient facilities. To overcome these challenges, the “Zero Waste Campus” (ZWC) initiative is proposed to be implemented on campus in order to reduce the waste stream. The ZWC covers several aspects of the campus’s SWM, such as policy development and facility improvement

    Economic liberalization and the antecedents of top management teams: evidence from Turkish 'big' business

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    There has been an increased interest in the last two decades in top management teams (TMTs) of business firms. Much of the research, however, has been US-based and concerned primarily with TMT effects on organizational outcomes. The present study aims to expand this literature by examining the antecedents of top team composition in the context of macro-level economic change in a late-industrializing country. The post-1980 trade and market reforms in Turkey provided the empirical setting. Drawing upon the literatures on TMT and chief executive characteristics together with punctuated equilibrium models of change and institutional theory, the article develops the argument that which firm-level factors affect which attributes of TMT formations varies across the early and late stages of economic liberalization. Results of the empirical investigation of 71 of the largest industrial firms in Turkey broadly supported the hypotheses derived from this premise. In the early stages of economic liberalization the average age and average organizational tenure of TMTs were related to the export orientation of firms, whereas in later stages, firm performance became a major predictor of these team attributes. Educational background characteristics of teams appeared to be under stronger institutional pressures, altering in different ways in the face of macro-level change

    Kinstate intervention in ethnic conflicts : Albania and Turkey compared

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    Albania and Turkey did not act in overtly irredentist ways towards their ethnic brethren in neighboring states after the end of communism. Why, nonetheless, did Albania facilitate the increase of ethnic conflict in Kosovo and Macedonia, while Turkey did not, with respect to the Turks of Bulgaria? I argue that kin-states undergoing transition are more prone to intervene in external conflicts than states that are not, regardless of the salience of minority demands in the host-state. The transition weakens the institutions of the kin-state. Experiencing limited institutional constraints, self-seeking state officials create alliances with secessionist and autonomist movements across borders alongside their own ideological, clan-based and particularistic interests. Such alliances are often utilized to advance radical domestic agendas. Unlike in Albania's transition environment, in Turkey there were no emerging elites that could potentially form alliances and use external movements to legitimize their own domestic existence or claims
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