1,722,788 research outputs found
Sub-standard ships and human costs of piracy: The case of Captain Prem Kumar
Synopsis
The human costs of piracy off the Horn of Africa are mounting with an escalating level of violence and shipowners unwilling to pay higher ransoms while operating sub-standard ships. As the plight of Captain Prem Kumar demonstrates, innocent seafarers suffer most.
Commentary
A GENERAL cargo ship Rak Afrikana, which was hijacked by Somali pirates in April 2010 in the Indian Ocean, sank a few hours after being released 11 months later. The Rak Afrikana, which was declared a total loss in March 2011, was crewed by 23 seafarers, 11 of whom were Indians, under the command of 49 year-old Captain Prem Kumar. It was owned by a company in the United Arab Emirates and under the flag of St Vincent and Grenadines.
As the ransom negotiations between the pirates and the shipowner dragged on, crew members were increasingly ill-treated and poorly fed by the pirates. Finally a ransom of US$1.2 million was paid -- much less than ransoms paid for other vessels
sj-docx-1-jer-10.1177_14680874221120141 – Supplemental material for An experimental investigation into the combustion stability and emissions of an n-butanol/diesel blended fueled partially premixed compression ignition (PPCI) engine
Supplemental material, sj-docx-1-jer-10.1177_14680874221120141 for An experimental investigation into the combustion stability and emissions of an n-butanol/diesel blended fueled partially premixed compression ignition (PPCI) engine by Prem Kumar and Sarbjot Singh Sandhu in International Journal of Engine Research</p
sj-docx-1-pie-10.1177_09544089221146165 - Supplemental material for An investigation of optimum control of injection timing/injection pressure for a multicylinder common rail direct injection engine fueled with AB20 blend
Supplemental material, sj-docx-1-pie-10.1177_09544089221146165 for An investigation of optimum control
of injection timing/injection pressure for
a multicylinder common rail direct injection engine fueled with AB20 blend by Mandeep Singh, Prem Kumar and Sarbjot Singh Sandhu in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-smo-10.1177_20503121211060614 – Supplemental material for The occurrence of urinary tract infection and determinant factors among diabetic patients at Dessie Referral Hospital, South Wollo, Northeast Ethiopia
Supplemental material, sj-docx-1-smo-10.1177_20503121211060614 for The occurrence of urinary tract infection and determinant factors among diabetic patients at Dessie Referral Hospital, South Wollo, Northeast Ethiopia by Betelhem Walelgn, Mehd Abdu and Prem Kumar in SAGE Open Medicine</p
sj-docx-1-son-10.1177_23779608231159631 - Supplemental material for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses
Supplemental material, sj-docx-1-son-10.1177_23779608231159631 for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses by Hailye Mitike, MSc, Wondwossen Yimam, MSc, Debrnesh Goshiye, MSc and Kumar Prem Kumar, PhD in SAGE Open Nursing</p
sj-tif-4-son-10.1177_23779608231159631 - Supplemental material for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses
Supplemental material, sj-tif-4-son-10.1177_23779608231159631 for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses by Hailye Mitike, MSc, Wondwossen Yimam, MSc, Debrnesh Goshiye, MSc and Kumar Prem Kumar, PhD in SAGE Open Nursing</p
sj-tif-3-son-10.1177_23779608231159631 - Supplemental material for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses
Supplemental material, sj-tif-3-son-10.1177_23779608231159631 for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses by Hailye Mitike, MSc, Wondwossen Yimam, MSc, Debrnesh Goshiye, MSc and Kumar Prem Kumar, PhD in SAGE Open Nursing</p
sj-tif-2-son-10.1177_23779608231159631 - Supplemental material for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses
Supplemental material, sj-tif-2-son-10.1177_23779608231159631 for Knowledge, Attitudes, Practices, and Associated Factors Towards Care of Elderly Patients among Nurses by Hailye Mitike, MSc, Wondwossen Yimam, MSc, Debrnesh Goshiye, MSc and Kumar Prem Kumar, PhD in SAGE Open Nursing</p
TinyRCE: Forward Learning Under Tiny Constraints
The challenge posed by on-tiny-devices learning targeting ultra-low power devices has recently attracted several machine learning researchers. A typical on-device model learning session processes real time streams of data produced by heterogeneous sensors. In such a context, this paper proposes TinyRCE, a forward-only learning approach based on a hyperspherical classifier aiming to be deployed on microcontrollers and, potentially, on sensors. The learning process is fed by labeled data streams to be classified by the proposed method. The classical RCE algorithm has been modified by adding a forget mechanism to discard useless neurons from the classifier's hidden layer, since they could become redundant over time. TinyRCE is fed with compact features extracted by a convolutional neural network which could be an extreme learning machine. In such case, the weights of the topology were randomly initialized instead of trained offline with backpropagation. Its weights are stored in a tiny read-only memory of 76.45KiB. The classifier required up to 40.26KiB of RAM to perform a complete on-device learning workload in 0.216s, running on an MCU clocked at 480MHz. TinyRCE has been evaluated with a new interleaved learning and testing protocol to mimic an on-tiny-device forward learning workload. It has been tested with openly available datasets representing human activity monitoring (PAMAP2, SHL) and ball-bearing anomaly detection (CWRU) case studies. Experiments have shown that TinyRCE performed competitively against a supervised convolutional topology followed by a SoftMax classifier trained with backpropagation on all these datasets
sj-docx-4-smo-10.1177_20503121221129146 – Supplemental material for Health-related quality of life and its predictors among people living with epilepsy at Dessie Referral Hospital, Amhara, Ethiopia: A cross-sectional study
Supplemental material, sj-docx-4-smo-10.1177_20503121221129146 for Health-related quality of life and its predictors among people living with epilepsy at Dessie Referral Hospital, Amhara, Ethiopia: A cross-sectional study by Alebachew Sisay Stotaw, Prem Kumar, Dessale Abate Beyene, Tamrat Assefa Tadesse and Alfoalem Araba Abiye in SAGE Open Medicine</p
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