Semantic image retrieval using relevance feedback and transaction logs

Due to the recent improvements in digital photography and storage capacity, storing large amounts of images has been made possible, and efficient means to retrieve images matching a user’s query are needed. Content-based Image Retrieval (CBIR) systems automatically extract image contents based on image features, i.e. color, texture, and shape. Relevance feedback methods are applied to CBIR to integrate users’ perceptions and reduce the gap between high-level image semantics and low-level image features. The precision of a CBIR system in retrieving semantically rich (complex) images is improved in this dissertation work by making advancements in three areas of a CBIR system: input, process, and output. The input of the system includes a mechanism that provides the user with required tools to build and modify her query through feedbacks. Users behavioral in CBIR environments are studied, and a new feedback methodology is presented to efficiently capture users’ image perceptions. The process element includes image learning and retrieval algorithms. A Long-term image retrieval algorithm (LTL), which learns image semantics from prior search results available in the system’s transaction history, is developed using Factor Analysis. Another algorithm, a short-term learner (STL) that captures user’s image perceptions based on image features and user’s feedbacks in the on-going transaction, is developed based on Linear Discriminant Analysis. Then, a mechanism is introduced to integrate these two algorithms to one retrieval procedure. Finally, a retrieval strategy that includes learning and searching phases is defined for arranging images in the output of the system. The developed relevance feedback methodology proved to reduce the effect of human subjectivity in providing feedbacks for complex images. Retrieval algorithms were applied to images with different degrees of complexity. LTL is efficient in extracting the semantics of complex images that have a history in the system. STL is suitable for query and images that can be effectively represented by their image features. Therefore, the performance of the system in retrieving images with visual and conceptual complexities was improved when both algorithms were applied simultaneously. Finally, the strategy of retrieval phases demonstrated promising results when the query complexity increases

Auto-Configuration of ACL Policy in Case of Topology Change in Hybrid SDN

© 2016 IEEE. Software-defined networking (SDN) has emerged as a new network architecture, which decouples both the control and management planes from data plane at forwarding devices. However, SDN deployment is not widely adopted due to the budget constraints of organizations. This is because organizations are always reluctant to invest too much budget to establish a new network infrastructure from scratch. One feasible solution is to deploy a limited number of SDN-enabled devices along with traditional (legacy) network devices in the network of an organization by incrementally replacing traditional network by SDN, which is called hybrid SDN (Hybrid SDN) architecture. Network management and control in Hybrid SDN are vital tasks that require significant effort and resources. Manual handling of these tasks is error prone. Whenever network topology changes, network policies (e.g., access control list) configured at the interfaces of forwarding devices (switches/routers) may be violated. That creates severe security threats for the whole network and degrades the network performance. In this paper, we propose a new approach for Hybrid SDN that auto-detects the interfaces of forwarding devices and network policies that are affected due to change in network topology. In the proposed approach, we model network-wide policy and local policy at forwarding device using a three-tuple and a six-tuple, respectively. We compute graph to represent the topology of the network. By using graph difference technique, we detect a possible change in topology. In the case of topology change, we verify policy for updated topology by traversing tree using six-tuple. If there is any violation in policy implementation, then affected interfaces are indicated and policies that need to be configured are also indicated. Then, policies are configured on the updated topology according to specification in an improved way. Simulation results show that our proposed approach enhances the network efficiency in term of successful packet delivery ratio, the ratio of packets that violated the policy and normalized overhead

Teachers’ and Parents’ perspective as how the Social Environment of immediate vicinity can affect the academic learning of a Child 4-6 years age group

In the process of human development environment plays a pivotal role. At the age of 4 -6 years, children\u27s immediate vicinity expands from home to school and in his social environment parents and teachers play a vital role. Therefore, in this study which was conducted in Phander district Ghizer, Northern areas; of Pakistan, employing descriptive research design five parents and five school teachers were enrolled. Participants shared their definition and understanding about social environment and immediate vicinity and its effects on academic learning. This research is part of Advanced Diploma in Human Development: Early Child Development Programme, Aga Khan University. Thus clearance was obtained from the University\u27s Ethics Review Committee. After approval of schools’ administration teachers were contacted and individual consent was obtained from all the study participants (n=10). Due to specific geographical area and population, its results cannot be generalized but it may provide some guidelines for future studies of similar nature

Digital retinopathy photography: the way forward for standardizing retinal screening in patients living with diabetes: an overview of the key challenges to care delivery in Qatar

The incidence of diabetes is rising globally with Qatar being ranked as the 3rd highest country for the prevalence of diabetes in the Middle East and North African (MENA) region. Diabetic retinopathy (DR) is the main cause of sight-threatening complications of diabetes. Significant advances in screening and treatment for DR have emerged in the last few decades with a strong impact on the accuracy and effectiveness of screening. DR being a preventable cause of blindness with early detection and interventions like laser photocoagulation and anti-vascular endothelial growth factor (anti-VEGF) treatments makes it imperative to invest in early recognition and treatment for DR. Globally screening is done by direct/indirect ophthalmoscopy or retinal photography with huge variations in early diagnosis. Studies have revealed the superiority of three-field retinal photography when compared to direct ophthalmoscopy, for DR screening, even if performed by an experienced ophthalmologist. The two most sensitive means of detection at present are digital retinal imaging and slit lamp examination post mydriasis. Both modalities require assessment by trained personnel. Digital retinal photography is extremely quick, allows the creation of permanent records and with the advent of semiautomatic nonmydriatic cameras, requires less skill as compared to the use of a slit lamp. Hence, should digital retinal photography be a preferred standardised method for retinal screening in Qatar

Information Design for Hybrid Work under Infectious Disease Transmission Risk

We study a planner's provision of information to manage workplace occupancy when strategic workers (agents) face risk of infectious disease transmission. The planner implements an information mechanism to signal information about the underlying risk of infection at the workplace. Agents update their belief over the risk parameter using this information and choose to work in-person or remotely. We address the design of the optimal signaling mechanism that best aligns the workplace occupancy with the planner's preference (i.e., maintaining safe capacity limits and operational efficiency at workplace). For various forms of planner preferences, we show numerical and analytical proof that interval-based information mechanisms are optimal. These mechanisms partition the continuous domain of the risk parameter into disjoint intervals and provision information based on interval-specific probability distributions over a finite set of signals. When the planner seeks to achieve an occupancy that lies in one of finitely many pre-specified ranges independent of the underlying risk, we provide an optimal mechanism that uses at most two intervals. On the other hand, when the preference on the occupancy is risk-dependent, we show that an approximately optimal interval-based mechanism can be computed efficiently. We bound the approximation loss for preferences that are expressed through a Lipschitz continuous function of both occupancy and risk parameter. We provide examples that demonstrate the improvement of proposed signaling mechanisms relative to the common benchmarks in information provision. Our findings suggest that information provision over the risk of disease transmission is an effective intervention for maintaining desirable occupancy levels at the workplace

Poverty Elimination through Potential Zakat Collection in OIC-Member Countries: Revisited.

This paper is the extended and updated version of Shirazi (2006), which covers 38 OIC-member countries. The paper estimates the resource required and potential zakat collection for poverty elimination. The paper employed the poverty gap index based on US $1.25 a day and US$ 2.0 a day estimated by the World Bank (2009). Zakat potential has been estimated by employing Kahf (1989) method of estimation with some modifications. The paper finds that half of the sample countries not only meet their resource shortfall by potential zakat collection but also generate surplus funds which are sufficient for the resource deficit countries. The paper suggests pooling of zakat funds from the zakat surplus countries and providing for the resource deficit countries to eliminate the poverty. Keywords: Poverty Alleviation, Resource Shortfall, Zakat Collection. OICMember Countrie

MICROFINANCE-ECONOMIC GROWTH NEXUS: A CASE STUDY ON GRAMEEN BANK IN BANGLADESH

Microfinance is one of the fastest growing sectors in Bangladesh and in many parts of the world. Over the last few decades, this sector has been supportive in achieving various socio-economic goals in Bangladesh. The country has made remarkable progress in sectors like education and health, and most importantly it has contributed significantly in poverty alleviation. Although the microfinance mostly concentrates at the micro level, it has direct effect on the macro economy.  A forefront Microfinance provider like Grameen Bank has been playing a key role for the socio-economic wellbeing of the people living in the rural areas as well as for the economic development of rural economy. This study aims to investigate the long run dynamic relationship among its loan financing and clients’ deposit and economic growth in Bangladesh. By considering annual time-series data of these variables, a widely used cointegration test and Granger’s causality test have been applied to examine the long run relationship among these variables. The result shows that both financing and depositing aspects of Grameen Bank have positive effect on economic growth of Bangladesh in the long run. It is recommended that Grameen Bank should allow its operations without any external pressure for the sake of sound economic growth of the country.

Socioeconomic factors differentiating maternal and child health-seeking behavior in rural Bangladesh: A cross-sectional analysis

BACKGROUND: There has been an increasing availability and accessibility of modern health services in rural Bangladesh over the past decades. However, previous studies on the socioeconomic differentials in the utilization of these services were based on a limited number of factors, focusing either on preventive or on curative modern health services. These studies failed to collect data from remote rural areas of the different regions to examine the socioeconomic differentials in health-seeking behavior. METHODS: Data from 3,498 randomly selected currently married women from three strata of households within 128 purposively chosen remote villages in three divisions of Bangladesh were collected in 2006. This study used bivariate and multivariate logistic analyses to examine both curative and preventive health-seeking behaviors in seven areas of maternal and child health care: antenatal care, postnatal care, child delivery care, mother's receipt of Vitamin A postpartum, newborn baby care, care during recent child fever/cough episodes, and maternal coverageby tetanus toxoid (TT). RESULTS: A principal finding was that a household's relative poverty status, as reflected by wealth quintiles, was a major determinant in health-seeking behavior. Mothers in the highest wealth quintile were significantly more likely to use modern trained providers for antenatal care, birth attendance, post natal care and child health care than those in the poorest quintile (χ(2), p < 0.01). The differentials were less pronounced for other factors examined, such as education, age, and the relative decision-making power of a woman, in both bivariate and multivariate analyses. CONCLUSION: Within rural areas of Bangladesh, where overall poverty is greater and access to health care more difficult, wealth differentials in utilization remain pronounced. Those programs with high international visibility and dedicated funding (e.g., Immunization and Vitamin A delivery) have higher overall prevalence and a more equitable distribution of beneficiaries than the use of modern trained providers for basic essential health care services. Implications of these findings and recommendations are provided

Wireless power strip socket

Today, the demand on the electricity consumption is increasing throughout the society. Unfortunately, it goes without saying that in spite of the heavy consumption of the electricity, the number of damages and fatal accidents also caused by electricity if consumers neglected the safety precaution related to it. In fact, based on the statistics of the electrical accident released by the Energy Commission (ST), 13 cases of electric accidents occurred nationwide with seven involving the deceased in 2015 [1]. Researchers have taken the opportunities to invent many kinds of products or mechanism to minimize the losses created by the malfunctioning of the electrical devices. Having thought of the situation, a portable device using smartphones has been designed to encounter this matter