Post time 12-4-2019 05:24 PMFrom the mobile phone|Show all posts
BOMBA TIDAK TOLAK UNSUR MISTIK DALAM MISTERI KEHILANGAN ACAP
Bernama News Channel melaporkan bahawa Pengarah Jabatan Bomba dan Penyelamat Malaysia (JBPM) Perak, Azmi Osman tidak menolak unsur mistik dalam misteri kehilangan Mohammad Ashraf Hassan yang menggemparkan negara baru-baru ini.
”Sebenarnya dalam konsep ini antara percaya atau tidak, tetapi saya nak nyatakan dalam Al-Quran sendiri mengatakan bahawa perkara ini harus percaya dan tidak wajib percaya.
”Jadi dalam erti katanya, walaupun ada dalam kalangan sesetengahnya ada pihak yang mengatakan tidak boleh mempercayai tetapi kita tetap beriktiar kita laksanakan dan kita menerima ustaz-ustaz dan golongan ahli agama, ulama-ulama untuk memberi pandangan dan membantu kita dari segi solat hajat dan sebagainya,” katanya.
Beliau turut berkata pihaknya sedia menerima bantuan daripada pihak-pihak yang mempunyai kemahiran tertentu untuk mencari mangsa bagaimanapun mengingatkan bantuan tersebut tidak bertentangan dengan syariat dan ajaran agama Islam.
Tambahnya lagi, usaha pencarian Mohammad Ashraf atau Acap berasal dari Muar, Johor juga tidak akan dihentikan bahkan operasi mencari yang melibatkan sekitar 20 anggota akan diteruskan.
Acap dilaporkan hilang ketika menyertai acara larian trek Gopeng Ultra Trail (GUT) pada 23 Mac lalu. Kelibatnya tidak kelihatan di garisan penamat biarpun menduduki tangga 10 teratas dalam kategori larian 25 kilometer.
i rasa lepas banyak kes2 kehilangan camnie, boleh tak nak suggest para pendaki or peserta2 marathon yg masuk2 hutan nie dipasangkan GPS masa kat starting point. and semua dimonitor. mmglah kalau nak jadi tu jadi jugak tapi at least kita berusaha seboleh mungkin pastikan we have minimised the risk of people not being found. semoga ada pengakhiran yg baik kes kehilangan Acap nie.. amiiinnn..
tak usah la nak kait kan cerita bod sejarah dalam ni, aku dah jawab panjang lebar pun dalam bod sejarah tu tapi ko diam seribu bahasa tak ada apa apa jawapan. alih alih ko bangkitkan kat sini.
Post time 12-4-2019 05:32 PMFrom the mobile phone|Show all posts
News ni in 2016... tapi tak sure la dah digunapakai atau belum apps ni... untuk detect missing person in forest, flood, forest fire, etc...
UA designs app to find missing people in areas with no mobile coverage
Alicante. Monday 18 December 2017
UA researchers have developed an innovative app to find people who are missing or have had an accident in remote areas with no mobile coverage, where rescue teams must act fast to save lives. This system is also suitable for emergencies due to earthquakes, floods or forest fires, in which mobile phone infrastructure is often damaged and cannot be used.
The app creator, UA lecturer José ngel Berná, from the Polytechnic School's Department of Physics, Systems Engineering and Signal Theory, says: “We have designed an app which can be used on all Smartphones. This app needs no mobile coverage and generates a Wi-Fi signal to ask for help within a range of several kilometres”.
More specifically, “the signal contains the location (coordinates) of the Smartphone user, who is missing or has had an accident, and a short customised message, such as ‘I am injured’, ‘I am disorientated’ or ‘I need help’”.
To detect the signal, Mr Berná also created a portable receiver device, weighing only half a kilo, for rescue teams or mountain shelters. This device has a small antenna and is connected to the rescue teams’ Smartphones.
In the event of an accident, users only have to start the app on their mobile phones, which will regularly send a signal with their location and coordinates for hours or even days, even if they are unconscious.
According to Mr Berná, this innovative system (an operational prototype was developed in early 2016) has already been field-tested by the Spanish Civil Guard’s Special Mountain Rescue Teams, and later by its Maritime Service and the Spanish Sea Rescue Service, with “interesting” results. Thus, during these tests on land and at sea, it was proved that the device can detect the signal generated by the missing person’s Smartphone within a distance of three and two kilometres, respectively, although its coverage could be increased.
Mr Berná states that search and rescue tasks in areas with no mobile coverage “are currently too costly in terms of time and resources”. He points out, however, that this new system makes it possible to “optimise search tasks and reduce tracking time”, which is vital considering that “in many cases, when missing people die, autopsies reveal that they died after several hours and not immediately, but could not be found”.
Another advantage is that no visual contact is needed with those who had the accident, since as soon as a single signal can be detected, the device will give the exact position, even if it is several kilometres away or inside a collapsed building.
There is currently “no system in the world using Wi-Fi signals for Smartphone geolocation. Some devices can detect mobile phone signals from a Smartphone and locate them by triangulation, but they cost about 80,000 and a helicopter is needed”, José ngel Berná says. He adds, though, that the UA-designed system is more economical, “as, given the cost of the receiver, it could be marketed for a price of approximately 600, if acquired by a significant number of rescue teams”.
Mr Berná explains that the Spanish Mountain Federation’s safety committee and the Civil Guard’s rescue teams think that this technology should be implemented in existing emergency apps with institutional support.
He says: “We have shared information with the Spanish Ministry of Home Affairs on this new technology, so that they consider incorporating it to AlertCops, the Spanish security forces’ alert service for citizens”.
Post time 12-4-2019 05:35 PMFrom the mobile phone|Show all posts
Ada lagi satu technology pakai drone.. keluar news 2016 jugak... cuma dense forest dorang alami kesukaran sikit... hutan kita mmg dense pun.. hutan dorang mcm ladang getah.. pokok jarak2..
Post time 12-4-2019 05:36 PMFrom the mobile phone|Show all posts
AI drones track forest paths to help locate missing people
By Jack Loughran
Published Wednesday, February 10, 2016
Drones that can recognise and follow man-made forest paths using an artificial-intelligence (AI) algorithm could be used to find missing people in secluded areas.
The drones, which were developed by researchers from three universities including the University of Zurich, are equipped with a pair of small cameras, similar to those used in smartphones.
They observe the environment through the tiny lenses and use powerful AI algorithms to interpret the images and determine man-made trails from naturally occurring ones. The software then steers the device in the corresponding direction of visible trails.
Every year, thousands of people lose their way in forests and mountain areas. In Switzerland alone, emergency centres respond to around 1,000 calls annually from injured and lost hikers.
It is hoped the new technology will help to complement and aid the work of rescue service teams. The researchers believe that because they are relatively inexpensive, they can be rapidly deployed in large numbers to cover wide geographical areas.
The drones could help to substantially reduce the response time and the risk of injury to missing persons and rescue teams alike.
“While drones flying at high altitudes are already being used commercially, drones cannot yet fly autonomously in complex environments, such as dense forests,” said Professor Davide Scaramuzza from the University of Zurich. “In these environments, any little error may result in a crash and robots need a powerful brain in order to make sense of the complex world around them.”
“Interpreting an image taken in a complex environment such as a forest is incredibly difficult for a computer,” says Dr Alessandro Giusti from the Dalle Molle Institute for Artificial Intelligence. “Sometimes even humans struggle to find the trail!”
The Swiss team solved the problem using a deep neural network, a computer algorithm that learns to solve complex tasks from a set of “training examples” in similar fashion to how the human brain learns from experience.
In order to gather enough data to “train” their algorithms, the team hiked several hours along different trails in the Swiss Alps and took more than 20,000 images of trails using cameras attached to a helmet.
When tested on a new, previously unseen trail, the deep neural network was able to find the correct direction in 85 per cent of cases. By comparison, humans faced with the same task guessed correctly 82 per cent of the time.
Professor Juergen Schmidhuber, who also works at the Dalle Molle Institute, believes that with increasing research into robotics, the number of applications using deep neural networks will “explode”.
The research team has warned that much work is still needed before a fully autonomous fleet will be able to swarm forests in search of missing people. The next step will be to teach the drones to recognise humans.
Drone manufacturer Yuneec recently revealed a new model in its ‘Typhoon’ series that uses Intel’s RealSense technology to automatically avoid obstacles and buildings when navigating around open terrain.
Dewi tu asal Sabah tak silap aku.. tapi mmg dari belajar sampai sekarang duduk semenanjung..
Veteran tu above 40 tahun.. nak kata veteran sangat, acik2 kat sini pun banyak lagi yg veteran..
Post time 12-4-2019 05:42 PMFrom the mobile phone|Show all posts
prizadane replied at 12-4-2019 04:52 PM
Hahaha..abaikan langau tu. jangan termakan provokasi dia
hehe..tu la kan....buat tak nampak saja..kita anggap dia seperti boonie yg kita tak nmpk...
atau sapa2 ada ayat2 ka jampi2 ka yg blh bagi org hilang kat sini meh la share...
..hehe
1) Starting acap adalah pada jam 7.30 minit. Kemu ...
Aku tolong copy dari sebelum ni ya…
Kronologi secara terperinci hari acap hilang :
1) Starting acap adalah pada jam 7.30 pagi minit. Kemudian acap sampai di CP 2 pada jam 8.20 pagi minit. Jadi perjalananmengambil masa lebih kurang dalam 50 minit untuk sampi ke CP 2.
Start – 7.30 pagi
CP2 – 8.20 pagi
2) Kemudian acap sampai di CP 6 & perjalanan mengambilmasa lebih kurang hampir 1 jam lebih. Pada masa yang sama, video yang tular adakelihatan 2 orang wanita ( nama dewi & seri ).
CP 6 - 9.38 pagi
3) Lela sampai pada jam 9.33 pagi & dewi sampai pada jam9.38 pagi. Jadi depa berdua antara yang orang nampak bersama dengan acap.
4) Gambar tular yang di ambil di bukit batu puteh itu adalahsekitar jam 11.07 pagi pagi minit iaitu semasa turun.
5) Mengikut apa yang di maklumkan, Lela & dewi ada nampakacap di CP 10 di gua kandu. Tetapi ada sedikit kesilapan di mana di CP 10 adapeserta yang depa tak rekod number. Menurut penganjur, ada lebih kurang 30orang yang depa tak ambil number & acap kemungkinan termasuk di dalamsenarai itu
6) Tetapi Lela & dewi mengesahkan memang nampak acap diCP 10 dan berlari bersama dari CP 10 gua kandu menuju ke gua tempurung.
7) Setibanya di satu tempat di kampung jahang, di situlahkali terakhir Lela/ dewi nampak acap. Gap antara Lela & dewi ni bila sampaifinishing adalah 5 minit.
8) Telco tower pula mengesan acap di kawasan kg jahang padapukul 4.00 petang. & satu lagi lokasi Phone acap di kesan pada jam 7.05 malamminit berhampiran satu lagi telco tower seberang highway
9) Jarak antara 2 telco ini pula adalah 1 KM. Tetapimalangnya maklumat ini sampai lewat pada pihak berkuasa.
10) Dan juga jika teori acap mahu buat shortcut, dia akanmelalui sungai ( yang pada ketika kejadian sememangnya agak laju kerana sebelumevent hujan)
11) Jalan shortcut akan melalui sungai, 5 KM lepas tu naksampai gua tempurung akan lalu kawasan kampung, melalui pula kiri kanan kawasankelapa sawit, paya & kolam. ( Ini adalah teori jika acap buat shortcut)
DEWI - 12:34:38 (kul 12.34tghari)
LELA - 12:39:39 (kul 12.39tghari)
Post time 12-4-2019 05:24 PM
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