411 research outputs found

    Design Of Intelligent Stick Based On Microcontroller With GPS Using Speech IC

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    For visually impaired persons the endeavors and researchers have spent the decades to develop an intelligent and smart stick to protect and alert them from obstacles. This paper proposes a new thought developing an intelligent stick equipped with GPS navigation system, which detect the obstacles in path and gives information about their location using GPS coordinates. The combination of ultrasonic sensors and GPS will detect the obstacles and determine the position and will gives information about location through Bluetooth.DOI:http://dx.doi.org/10.11591/ijece.v2i6.162

    Relationship between Teachers’ Professional Commitment and Formative Assessment Practices as a Part of Curriculum Implementation at Secondary Level in Punjab

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    National Curriculum for English in Pakistan, reveals its intentions for acquiring language related international requirements concerning with career choices and furthering education. Formative assessment is at the center of students’ learning and is devised in the curriculum document providing basis for its implementation. Curriculum implementation is pivotal to classroom practices of teachers. Curriculum guides teachers to implement formative assessment. Professional commitment contributes enriching teacher’ classroom practices. Focus of the study was to examine formative assessment practices of teachers, as a part of curriculum implementation, in accordance with curriculum document and its relationship with professional commitment of secondary school English teachers. Study secures its significance for teachers, curriculum developers, and governmental agencies. Quantitative survey was the method adopted for the study and explanatory correlational design was used. Teachers, concerned with teaching of English at secondary level, from entire secondary schools working under the supervision of the Punjab province were the study population. Sampling procedure employed multistage stratified random sampling technique and 576 teachers were selected as study sample. Two questionnaires were developed that included questionnaire regarding implementation of formative assessment (QIFA) and teachers’ professional commitment scale (TPCS). Survey was conducted as a data collection strategy. In statistics, Mean and Spearman correlation were employed. Results revealed that professional commitment of teachers and their formative assessment practices were moderate. Results regarding relationship between the variables; professional commitment of teachers and their formative assessment practices were significant correlated. The study recommended school based teacher trainings to sensitize and enhance teachers’ awareness and practices towards formative assessment practices as a part of implementation process. Governmental agencies are needed to focus the situation of professional commitment of teachers and implementation of formative assessment as a part of implementation

    Resource Management Techniques in Cloud-Fog for IoT and Mobile Crowdsensing Environments

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    The unpredictable and huge data generation nowadays by smart devices from IoT and mobile Crowd Sensing applications like (Sensors, smartphones, Wi-Fi routers) need processing power and storage. Cloud provides these capabilities to serve organizations and customers, but when using cloud appear some limitations, the most important of these limitations are Resource Allocation and Task Scheduling. The resource allocation process is a mechanism that ensures allocation virtual machine when there are multiple applications that require various resources such as CPU and I/O memory. Whereas scheduling is the process of determining the sequence in which these tasks come and depart the resources in order to maximize efficiency. In this paper we tried to highlight the most relevant difficulties that cloud computing is now facing. We presented a comprehensive review of resource allocation and scheduling techniques to overcome these limitations. Finally, the previous techniques and strategies for allocation and scheduling have been compared in a table with their drawbacks

    A Comparative Performance Evaluation of Hive and Map Reduce for Big-Data

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    Advances in information stockpiling and mining advances make it conceivable to safeguard expanding measures of information created specifically or in a roundabout way by clients and break down it to yield important new bits of knowledge. Huge information can uncover individuals' shrouded behavioral examples and even revealed insight into their expectations. All the more absolutely, it can overcome any and all hardships between what individuals need to do and what they really do and how they connect with others and their surroundings. This data is valuable to government offices and in addition privately owned businesses to bolster choice making in zones going from law requirement to social administrations to country security. One of the proficient advancements that arrangement with the Big Data is Hadoop, which will be talked about in this paper. Hadoop, for preparing extensive information volume employments utilizes MapReduce programming model. Hadoop makes utilization of diverse schedulers for executing the occupations in parallel. The default scheduler is FIFO (First In First Out) Scheduler. Different schedulers with need, pre-emption and non-pre-emption alternatives have likewise been produced. As the time has passed the MapReduce has come to few of its restrictions. So keeping in mind the end goal to beat the constraints of MapReduce, the up and coming era of MapReduce has been produced called as YARN (Yet Another Resource Negotiator). Along these lines, this paper gives a review on Hadoop, few booking strategies it uses and a brief prologue to YARN. Keywords: Big-Data, Hive, Map Reduc

    On Solutions of Variational Inequality Problems via Iterative Methods

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    We investigate an algorithm for a common point of fixed points of a finite family of Lipschitz pseudocontractive mappings and solutions of a finite family of Îł-inverse strongly accretive mappings. Our theorems improve and unify most of the results that have been proved in this direction for this important class of nonlinear mappings
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